Cell Line-Specific Estrogen Responses Uncover Functional Sex Differences in Murine Macrophages

Cell Line-Specific Estrogen Responses Uncover Functional Sex Differences in Murine Macrophages | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Cell Line-Specific Estrogen Responses Uncover Functional Sex Differences in Murine Macrophages Alison M Veintimilla, Zoe Turner, Nana Owusu-Boaitey, Varun Deshpande, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6925474/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 14 Oct, 2025 Read the published version in Biology of Sex Differences → Version 1 posted 13 You are reading this latest preprint version Abstract Background RAW 264.7 (male-derived) and J774A.1 (female-derived), are widely used in immunology research, yet their responses to gonadal hormones remain poorly understood. Gonadal hormones, particularly estrogen, shape immune cell function and contribute to sex differences in disease outcomes, with macrophages playing a central role through their expression of intracellular estrogen receptors (ERs). Herein, we investigated ER expression and functional responses to 17β-estradiol (E2) in male-derived RAW 264.7 and female-derived J774A.1 macrophages, in 2D culture. Additionally we looked at sex-matched and mismatched media conditions in a 3D hydrogel system. Our results reveal distinct phenotypic and functional differences between the cell lines, emphasizing the need for sex-aware approaches in immunological research and model design. Methods RAW 264.7 and J774A.1 macrophages were cultured in basal media for 24 hours, then treated with varying concentrations of 17β-estradiol (5, 25, 100 nM), as well as hormone-free and control media. Post-treatment analyses included viability, estrogen receptor expression, phenotype skewing, matrix metalloprotease 9 (MMP9) levels, and phagocytosis. These macrophages were also used to condition sex-specific media environments and were encapsulated in a hydrogel network containing adhesive and cleavable sites. Encapsulated cells were then exposed to sex-matched or sex-mismatched conditioned media, and proliferation and MMP9 production were assessed. Results Our results revealed distinct differences in estrogen receptor gene and protein expression, as well as in core macrophage functions such as proliferation, inflammation, matrix remodeling, and phenotype skewing. Additionally, the sex-derivation of the surrounding molecular environment affected macrophage behavior in a 3D hydrogel system. Female-derived macrophages were more sensitive in terms of proliferation to sex-mismatched environments, while male-derived macrophages exhibited altered enzyme activity when exposed to female-conditioned media. Conclusions These findings underscore the importance of accounting for both the origin of immune cells as well as the hormonal and environmental context in which they are studied. Without these considerations, experimental models risk missing critical biological differences that shape immune responses and disease outcomes. immunology macrophage function gonadal hormones estrogen Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Plain English Summary Males and females often experience different symptoms, risks, and outcomes when it comes to certain diseases and health conditions. One reason for this may be that male and female immune cells behave differently, especially in response to hormones like estrogen. In this study, we looked at two commonly used types of mouse immune cells—one originally from a male and one from a female—to see how they respond to estrogen. We found that male and female cells do not respond to estrogen in the same way. They showed different levels of activity, growth, and behavior depending on both the hormone exposure and the sex origin of the environment they were in. We also placed the cells in a gel that mimics real body tissue and exposed them to sex-specific environments and saw clear differences in how male and female cells responded. For example, female-derived cells were more sensitive in their ability to grow when placed in a “male” environment, while male-derived cells changed their behavior when exposed to signals from female environments. Our findings show that both the origin of immune cells and the environment they are placed in can strongly influence how they behave. This means that to better understand immune responses and develop more effective treatments, scientists need to consider sex as a key factor in their research models. Ignoring these differences could lead to incomplete or misleading results. Highlights Opposing regulation of Esr1 gene and ERα protein in response to E2 across popularly used macrophage cell-lines (RAW 264.7 and J774A.1). Distinct phagocytic and inflammatory responses in a sex-dependent manner, relevant to chronic disease disparities. Differential regulation of MMP9, offering mechanistic insight into sex-based extracellular matrix remodeling. Reduced viability of female-derived viability in female-derived macrophages and altered proteomic signatures in male-derived macrophages exposed to sex-mismatched 3D matrices. Background Similar to many organs in the body which exhibit sex differences in form and function, individual cell types are also influenced by sex - impacting disease progression, drug responses, and treatment outcomes.( 1 ) Gonadal hormones and steroid hormone receptors direct sex differences associated with immune cell function. Estrogen receptors (ERs) in particular affect several key immunological regulatory pathways and processes. Estrogen receptor (ER) modulation impacts wound healing, autoimmunity, and viral immunity.( 2 , 3 ) Estrogen receptors are intracellularly present within macrophages, a crucial innate immune cell type.( 4 ) Macrophages are a heterogeneous cell type that respond strongly to environmental stimuli.( 5 ) Estrogenic effects have been associated with macrophage self-renewal, specialization, phagocytic capabilities, immune activation, and immune tolerance.( 6 ) The most potent estrogen-type in the human body is 17 \(\:\beta\:\) -estradiol (E2 ) which has been attributed to sex biases in disease outcomes through immune cell modulation.( 7 ) While macrophages are known to express ERs, the influence of sex differences on their response to E2 and subsequent immune function has yet to be characterized. Characterization of macrophage response to E2 is needed to create translatable experimental designs and models, especially for hormone-responsive systems. Macrophages clear pathogens and are responsible for apoptotic cell debris.( 8 ) Subsequently, macrophages orchestrate antigen presentation and cytokine production. Macrophages drive the regulation of inflammatory responses, tissue regeneration, and downstream immune processes, including immune tolerance and chronic immune activation. Macrophages exhibit a range of phenotypic plasticity, enabling them to occupy diverse immunological roles.( 9 ) Traditionally, their phenotypes have been broadly categorized into two functional states: pro-inflammatory and pro-regenerative.( 10 ) Pro-inflammatory macrophages are characterized by their ability to sustain immune activation through the secretion of pro-inflammatory cytokines and chemokines, as well as the production of reactive oxygen species and nitric oxide.( 10 ) In contrast, pro-regenerative macrophages support tissue repair and remodeling by interacting with the extracellular matrix (ECM) and facilitating the resolution of inflammation.( 10 ) Many in vitro studies investigating the underlying mechanisms of macrophages predominantly use the BALB/c murine cell lines, RAW 264.7 (male-XY karyotype) and J774.A1 (female-XX karyotype), to examine core functions and biophysical properties.( 11 – 13 ) A PubMed database search shows that since 1980, these cell lines have been directly referenced in titles/abstracts of more than 14,000 published articles, with RAW 264.7 cells comprising nearly 80% of the total results. Additionally, RAW 264.7 cells have been referred to by the Alliance for Cellular Signaling as the preferred experimental platform for large-scale studies of signaling pathways.( 14 ) Despite their commonplace use throughout scientific literature, these cell lines have yet to be assessed against one another in response to different hormonal challenges. Although gonadal hormones are known to modulate macrophage behavior, many in vitro studies using macrophages fail to account for the hormonal environment and sex-related influences. How do hormones—routinely present in cell culture conditions—impact macrophage function? For example, phenol red, commonly used in media to monitor pH, is a weak estrogenic mimic whose concentration varies by vendor. These common cell culture components can have unintended variable influences on molecular outputs.( 15 ) Additionally, sex matching experiment constituents has been demonstrated throughout the literature to influence cell–extracellular environment interactions.( 16 – 18 ) Building on the importance of sex factors in experimental design, we sought to address a key gap in the literature regarding the estrogen responsiveness of commonly used macrophage cell lines. To our knowledge, there are no prior studies that directly investigated RAW 264.7 vs J774.A1 cells' response to E2 treatment. Here we ask how does E2 treatment and ER expression differ between these two dominantly used macrophage cell lines? We quantified ER expression at the genetic and protein level of both cell lines in response to E2 treatment. We found divergent responses between the cell lines at high doses of E2 at both the genomic and proteomic levels, particularly for the estrogen receptor subtype, ERα. Additionally, we assessed these cell lines’ functionalities in response to E2 treatment, characterizing proliferation, phagocytic capabilities, extracellular matrix (ECM) remodeling capabilities, inducible nitric oxide synthase (iNOS) production, and polarization. We found that these core macrophage functions were dictated by the sex derivation of each cell and E2 presence within the culture environment. We also utilized a tissue-mimetic model to assess proliferative and enzymatic activity in response to a sexed cell culture environment within a more physiologically relevant in vitro system. Specifically, we encapsulated male-derived and female-derived murine macrophage cell lines within a polyethylene glycol (PEG)-based hydrogel platform functionalized with cell-adhesive and protease-cleavable sites.( 19 , 20 ) This platform was then exposed to sex-matched and sex-mismatched culture conditions to evaluate the impact of environmental sex-secretome alignment on macrophage function. While male-derived murine macrophages were relatively unaffected by a sex mismatched environment, female-derived macrophages exhibited reduced proliferative capacity under mismatched conditions. Additionally, male-derived macrophages cultured in a female-conditioned environment showed increased expression of the ECM enzyme MMP9, suggesting that factors within the female-derived macrophage secretome may promote an enhanced tissue remodeling environment. This study underscores key phenotypic and functional differences between macrophage immune cells of different sexes— even among routinely used immortalized cell lines. Materials and Methods 2D Cell Culture and Treating Schemas Macrophage cell lines RAWs 264.7 and J774A.1 were obtained from American Type Culture Collection (ATCC). Both lines are derived from BALB/c mice but are of different sexes with true XX and XY karyotype.[11], [12] Cells were initially cultured in Dulbecco’s Modified Eagle’s Medium (DMEM), supplemented with 10% fetal bovine serum (FBS), 100 Iµ penicillin and 100 µg/ml streptomycin ( referred to in this paper as basal media; BM ). Other media compositions for different treatment groups were phenol-free DMEM, with charcoal-stripped FBS, 100 µl penicillin and 100 µg/ml streptomycin ( referred to as hormone free media; HF ). In the macrophage phenotype assessments, IFNγ (10 ng/ml) and LPS (50–100 ng/ml) were added to basal media and are referred to as + IFNγ/+LPS media. In the same aforementioned assays, IL-4 (20 µg/ml) was added and is referred to here as + IL-4 media. For all 2D assays, RAW 264.7 and J774A.1 cells were seeded at the same cell density ranging from ~ 5,000–40,000 cells/cm^2 depending on the timespan, and confluency requirements for the given assay. RAW 264.7 and J774A.1 were given 24 hours to adhere before being treated with different concentrations of E2 (5 nM, 25 nM, 100 nM), as well as hormone-free and basal media conditions. For phenotype assessments cells were allowed 24 hours to adhere, followed by 24 hours of hormonal treatment and 48 hours of stimulation with + IFNγ/+LPS or + IL-4 media. Synthesis of PEG-RGDS and PEG-PQ Conjugates RGDS (Arg-Gly-Asp-Ser, MW 433 g/mol; ThermoFisher Scientific) and PQ (GGGPQGIWGQGK, MW 1141 g/mol; Genscript) peptides were conjugated to acrylate-PEG-succinimidyl valerate (MW 3400 g/mol; Laysan Bio) via amine-reactive chemistry. For PEG-RGDS conjugation, RGDS and acrylate-PEG-SVA were mixed at a 1.2:1 molar ratio in 20 mM HEPBS buffer (pH 8.5) and adjusted to pH 8.0 with 0.1 M NaOH. The reaction proceeded overnight at 4°C under gentle agitation, protected from light. The resulting acrylate-PEG-RGDS was dialyzed using a 3.5 kDa MWCO cellulose membrane (Cole-Palmer, Spectra/Por), frozen at − 80°C, lyophilized, and stored at − 80°C. For PEG-PQ-PEG conjugation, the same reaction conditions were used, with dialysis performed using a 6–8 kDa MWCO membrane. The final acrylate-PEG-PQ-PEG product was similarly frozen, lyophilized, and stored at − 80°C until further use. 3D Cell Culture and Treating Schemas For 3D experiments cells were cultured in T75 flasks containing basal media until reaching 40% confluency. The flask media was then replaced with hormone-free media for 24 hours to allow the media to be conditioned by either RAW 264.7 or J774A.1 macrophages. Cells were then encapsulated in a PEG hydrogel at a cell density of 4 × 10⁶ cells/ml. In brief, hydrogels (5 µl) were prepared using a solution of 5% w/v PEG-PQ-PEG and 3.5 mM PEG-RGDS in HEPES-buffered saline (10 mM HEPES, 100 mM NaCl, pH 7.4) containing 1.5% TEOA, 10 µM eosin Y (photoinitiator), and 0.35% N-vinyl-2-pyrrolidone (Fisher Scientific). Each hydrogel included 20,000 cells. The 5 µl hydrogel precursors were pipetted onto a polydimethylsiloxane (PDMS) slab between two ~ 380 µm PDMS spacers. A methacrylated coverslip was placed atop the setup and the mixture was polymerized under white light for 60 seconds. Following crosslinking, the coverslip was inverted into a 24-well plate, and 1 ml basal media was gently added. Cells were permitted to acclimate in hydrogel conditions in basal media for 24 hours. Then culture media was switched to provide sex-matched (encapsulated RAW 264.7 cells in RAW 264.7 conditioned media, encapsulated J774A.1 cells in J774A.1 conditioned media) or sex-mismatched (encapsulated RAW 264.7 cells in J774A.1 conditioned media (.5 ml), encapsulated J774A.1 cells in RAW 264.7 conditioned media) conditions. Additional hydrogel controls continued to be cultured in basal media. Post 48-hour sexed condition treatment, hydrogels were fixed and supernatant was recovered to conduct immunocytochemistry (ICC) and soluble factors analysis. Metabolic Assay in Response to E2 treatment A resazurin-based metabolic assay was performed per manufacturer instructions (ThermoFisher, cat. no. A50101) post E2, basal media and hormone free treatment. Additional cytotoxic controls were plated with media that contained 10% dimethyl sulfoxide (DMSO). Blank wells including either basal media or hormone-free media were included to normalize fluorescence readings. In brief, 10 µl of resazurin reagent was added per well and allowed to incubate for 2.5 hours. Fluorescence of the plate was then read on a microplate reader (Spark, Tecan) at 560 nm excitation and 590 nm emission. Immunocytochemistry of Proliferation Marker Ki67 and ERα The time and antibody dilution ranges are referencing 2D vs 3D staining. Following 24 hours of hormone treatment or phenotypic skewing, cells and hydrogels were fixed in 4% paraformaldehyde for 20 or40 minutes at room temperature, then washed 3x with Tris-buffered saline (TBS). Cells were permeabilized with 0.125 − .25% TritonX for 10–45 minutes at room temperature and then washed 4x with TBS (5 minutes per rinse). Cells were subsequently blocked with 5% donkey serum for 2 hours-overnight at 4°C. After blocking, cells were incubated at 4°C with primary antibodies for Ki67 (rabbit-anti-mouse polyclonal antibody, Abcam, ab15580) at a 1:200 or 1:400 dilution in 0.5% donkey serum overnight-1 day. For ICC of ERα primary rabbit-anti-mouse polyclonal antibodies (Invitrogen, cat. no. PA1-309) were utilized at a 1:400 dilution in 0.5%. After primary incubation, cells were rinsed 4x with TBS + 0.01% Tween for 2 or6 hours, with the final rinse being just TBS. Cells were then incubated at 4°C with secondary antibody Alexa Fluor 555 (Invitrogen, A31570) or Alexa Fluor 488 (Thermofisher, A-21206) at a 1:400 dilution overnight-1 day. Cells were then given a TBS rinse for 1–3 hours. DAPI nuclear stain was added to cells for an hour-overnight following 3x TBS washes (5 minutes each). Imaging was then done using Andor BC43 benchtop confocal for DAPI (blue channel), Ki67 (red and green channel), and ERα (green channel). One image per well was chosen randomly for four wells per condition for 2D studies. Image analysis was conducted through automatic thresholding (Ki67) or Cellpose ROI quantification (ERα) for DAPI/cell count. Then a positive signal was counted via manual marking (ERα)/automatic thresholding (Ki67) and subsequent particle analysis function on Fiji ImageJ. Imaging within the hydrogel was taken as Z-stacks with 1.5 µm and a range of 40 µm. Hydrogel Z-stacks were imported into IMARIS, and cells were identified using spot analysis of the DAPI channel. The Imaris machine learning algorithm was then trained to identify DAPI (blue) positive cells that also expressed Ki67 (green). The output of the algorithm was checked for accuracy, and the number of Ki67 positive and negative cells was then quantified. Phenotypic Morphology Assessment To conduct these assessments cells were fixed and stained for DAPI post hormonal pre-treatment and phenotypic skewing. Differential phase contrast imaging was then performed for all treatment wells (4 wells per group condition) using Andor BC43 benchtop confocal microscope. Cellpose algorithm for cellular segmentation was then trained to generate ROIs and consequent aspect ratio. ROIs were imported to Fiji ImageJ and manually checked for accuracy. The first 50 accurately generated/manually redrawn aspect ratio measurements were taken per well. Statistical analysis was run on well averages as replicates, so as to not falsely power analysis. Singular measurements to demonstrate distribution of aspect ratio measurements are offered in supplementary documentation. Reverse Transcriptase Quantitative Polymerase Chain Reaction (RT-qPCR) for Esr1 , Esr2 , Arg-1 , and iNOS Following E2, basal media, hormone-free treatments, or phenotype skewing (treatment with + IL-4 or + LPS/ IFNγ media) cells were lysed and total RNA was extracted using the RNeasy Mini Kit (Qiagen, 74104), then quantified with a NanoDrop spectrophotometer. Reverse transcription was performed with 50–100 ng of total RNA using the iScript cDNA Synthesis Kit (Bio-Rad). Complementary DNA was amplified using SYBR Green PCR Master Mix (Bio-Rad). A pre-validated SYBR Green primer pair for mouse Esr1 , Esr2 , Arg-1 , and iNOS were used according to the manufacturer instructions ( refer to table below ). The cycling parameters were as follows: 95°C for 25 seconds (polymerase activation and DNA denaturation), 95°C for 2 s (denaturation), and then 60°C for 25 s (annealing/extension) for a total of 40 cycles. Relative gene expression was calculated using the 2^(-ΔΔCT) method, with β-actin as the internal control and the basal media treatment group as the calibrator. Gene Symbol Assay Description Vendor Catalog Number Notes Esr1 PrimePCR SYBR Green Assay (mouse) Bio-Rad qMmuCED0044294 Pre-validated assay Esr2 PrimePCR SYBR Green Assay (mouse) Bio-Rad qMmuCID0005566 Pre-validated assay Arg1 PrimePCR SYBR Green Assay (mouse) Bio-Rad qMmuCID0022400 Pre-validated assay iNOS Custom Primers IDT fwd: 485010148 rev: 485010147 Custom order 5’-3’ fwd: TTT GCT TCC ATG CTA ATG CGA AAG rev: GCT CTG TTG AGG TCT AAA GGC TCG Phagocytosis Assay in Response to E2 Treatment RAWs 264.7 and J774A.1 were given 24 hours to adhere before being treated with different concentrations of E2 (5 nM, 25 nM, 100 nM), as well as hormone-free and basal media. Blank wells with either basal or hormone-free media were included to normalize %effect calculations. Phagocytosis was then assessed through Invitrogen pHrodro Red E. coli BioParticle™ conjugates (P35361) per manufacturer instructions. Cells were incubated with bioparticles for 2 hours post-treatment period and subsequent fluorescence intensity was measured using an excitation and emission maxima of 560 nm and 585 nm respectively on a microplate reader (Spark, Tecan). Additional controls were treated 2 hours prior to the addition of bioparticles with cytochalasin D (20 µM) to demonstrate impaired phagocytosis. Percent effect of phagocytosis was calculated through the subtraction of background fluorescence reads from experimental and control wells. Reads were then divided by the positive control for phagocytosis, which was the basal media condition in this assay. Zymography for MMP9 in Response to E2 Treatment and Sex-matched/Mis-matched Environments Conditioned media from RAW 264.7 and J774A.1 cells following treatment with E2 (5 nM, 25 nM, 100 nM), hormone-free, basal, or phenotype-specific media were collected and stored at − 80°C until analysis. Supernatants from hydrogel encapsulation experiments were similarly collected and frozen at − 80°C. Protein concentration was determined using a bicinchoninic acid (BCA) protein assay following the manufacturer’s instructions (Thermo Scientific, 23225). Absorbance was measured at 562 nm using a microplate reader (Spark, Tecan). The average absorbance of each sample and standard was calculated, and a linear regression was applied to the BSA standard curve. The resulting equation was used to interpolate protein concentrations of experimental samples. Gelatin zymography was used to assess MMP9 activity in the conditioned media. A total of 20 µg of protein per sample, as determined by BCA assay, was mixed with non-reducing sample buffer and loaded onto 10% zymogram gelatin gels (Novex, ZY00105BOX). A molecular weight protein ladder (Thermo Fisher Scientific, 26623) and 125 ng of recombinant mouse MMP9 protein (Abcam, ab39309) were included on each gel as size and activity controls, respectively. Gels were run at 125 V and 0.03 mA for approximately 120 minutes at 4°C in 1X Tris-Glycine SDS running buffer (Novex, LC2675). Following electrophoresis, gels were incubated in 1X renaturation buffer (Novex, LC2670), followed by 1X development buffer at room temperature for 30 minutes each with gentle agitation to remove SDS and restore enzyme activity. Gels were then transferred to 1X developing buffer (Novex, LC2671) and incubated at 37°C overnight to allow substrate digestion. After incubation, gels were washed twice in deionized water for 15 minutes each, stained for 1 hour using Imperial™ Protein Stain (Thermo Fisher Scientific, 24615), and subsequently washed twice in deionized water for 1 hour each, until clear bands representing proteolytic activity were visible. Gels were imaged using LI-COR Odyssey CLx at 169 µm resolution, medium scan quality, 0.5 intensity, and 0.5 mm focus offset range. Image analysis was performed in ImageJ. Lanes were defined and plotted using the gel analyzer tool, and the area under the curve (AUC) was measured for each unstained band to quantify relative MMP9 protease activity. AUC values were normalized to the recombinant mouse MMP9 control band intensity. Enzyme-linked Immunosorbent Assay (ELISA) for Inducible Nitric Oxide Synthase (iNOS) Production A colorimetric sandwich ELISA for mouse iNOS (Abcam, ab253219) was performed per manufacturer instructions. Supernatants from phenotype studies were diluted in 1X cell extract buffer to 300 µg/ml, respectively, with protein concentrations determined by BCA (see Zymography section). Standard mouse iNOS was serially diluted from 3,000 to 46.88 pg/ml, including a blank (0 pg/ml), and plated in duplicate; samples were plated in triplicate. A capture/detection antibody cocktail was added to all wells, followed by a 1-hour incubation at room temperature on a plate shaker (400 rpm). After three washes with Wash Buffer PT, tetramethylbenzidine substrate was added and incubated for 5–10 minutes at room temperature on a plate shaker (400 rpm). Stop solution was then applied for 1 minute, and absorbance was measured at 450 nm using a microplate reader (Spark, Tecan). Statistical Analysis Throughout ICC experiments, DAPI + cell counts were exported into GraphPad Prism 10.1.1 (La Jolla, CA). All cell counts were ensured to be non-significant between treatment groups within a given cell-line. In 2D experiments, sampling from wells were considered as replicates. There were always 3–4 replicates per condition for all assays. In 3D experiments, 3 hydrogels were fabricated per condition and considered technical replicates. A one-way analysis of variance (ANOVA) with a post-hoc Tukey test was conducted between hormone-treatment and sex-matching treatment groups. Statistical significance is reported as * p < 0.05, **p < 0.01, and ***p < .001. For all plate reader assays coefficient of variation was calculated and ensured to be no greater than 15%. Results are presented as the mean ± standard deviation. Results E2 Treatment Had No Effect on Viability but Differentially Regulated Estrogen Receptor Expression in RAW 264.7 and J774A.1 Cells To assess cell viability in response to E2 treatment, we measured metabolic activity using resazurin reduction and proliferation via Ki67 expression. There were no statistically significant differences in either metabolic activity (Fig. 1 A) or proliferative capacity (Fig. 1 B, Supplement 1A ) between RAW 264.7 and J774A.1 under varying hormonal conditions. Expression of Esr1 and Esr2 —encoding estrogen receptor subtypes α and β, respectively—was quantified via RT-qPCR following E2 treatment. Interestingly, RAW 264.7 (male-derived) and J774A.1 (female-derived) cells displayed divergent Esr1 gene expression responses to a high dose (100 nM) of E2. At a high E2 dose (100 nM), RAW 264.7 cells showed a significant ~ 3x increase in Esr1 expression (p < .05), whereas J774A.1 cells exhibited a significant ~ 1x decrease (p 35 indicating low to undetectable expression ( Supplement 1B ). This is in line with other studies reporting these cell lines do not express ERβ when exposed to similar E2 concentrations such as the ones used in this study.( 21 ) Given the results of gene expression analysis, immunocytochemistry (ICC) was conducted for ERα. Notably, while mRNA for Esr1 was high for RAW 264.7, proteomic expression of ERα was relatively low across E2 treatment groups (Fig. 2 B, Fig. 2 C). Similarly, J774A.1 macrophages demonstrated a significantly high (p < .0001) expression of ERα at a high E2 dose compared to all other treatment groups, opposing aforementioned gene expression results (Fig. 2 B, Fig. 2 C). The combined gene expression and proteomic data suggest that Esr1 expression has an antagonistic transcriptional effect on ERα protein expression in macrophage cell types. E2 Treatment Has Divergent Effects on Macrophage Functional Capabilities in a Sex-Dependent Manner Phagocytic activity in both cell lines was assessed using pH-responsive, fluorescently conjugated E.coli beads that emit fluorescence upon acidification within macrophage endosomes. RAW264.7 and J774A.1 cells experienced similar reductions to 40–50% effect in their ability to phagocytize within hormone-free, 5 nM, and 25 nM E2 treatment groups (Fig. 3 A). Most notable were the responses to the 100 nM E2 treatment, which restored some degree of phagocytosis in RAW 264.7 cells while significantly (p < .05) depleting phagocytic capabilities in J774A.1 cells (Fig. 3 A). These results suggest that at higher concentrations, there are divergent effects of E2 in aiding RAW264.7 and inhibiting J774A.1 cells’ phagocytic abilities. In our other functional assessment, we demonstrated that MMP9 production in response to E2 dosing had a greater effect on J774A.1 cells compared to RAW 264.7 cells. In RAW 264.7 cells, MMP9 levels were reduced in hormone-free media compared to basal conditions. E2 supplementation did not restore MMP9 production, regardless of dose (Fig. 3 B). In contrast, J774A.1 cells exhibited a dose-dependent response to E2, with significant increases in MMP9 production at both low (5 nM) and high (100 nM) E2 concentrations, but a notable decrease at the intermediate dose (25 nM) (Fig. 3 B). However, the intermediate dose was still significantly higher compared to hormone free and basal media conditions. These divergent responses suggest potential estradiol and sex-based differences in ECM remodeling capacity. E2 Pre-treatment of RAW264.7 and J774A.1 Macrophages Impacts Inflammatory Phenotype Skewing Following E2 pre-treatment both cell lines were polarized toward pro-inflammatory (+ LPS + IFNγ) or pro-regenerative (+ IL-4) phenotypes and evaluated for proliferation, morphology, gene expression, iNOS, and MMP9 production. Morphological data suggests a trending increase in cellular aspect ratio in response to E2 pre-treatment for + LPS + IFNγ skewed RAW 264.7 and J774A.1 macrophages (Fig. 4 A-B, Supplement 2 ). Inflammatory RAW 264.7 macrophages demonstrated a statistically significant increase in aspect ratio at an intermediate E2 dosage (25 nM) (Fig. 4 A-B). Both RAW 264.7 and J774A.1 cells exhibited similar proliferation trends with Ki67 marker expression significantly increasing in a hormone free environment upon differentiation into the + LPS + IFNγ inflammatory macrophage phenotype (Fig. 4 C-D). Gene expression of canonical inflammatory marker iNOS had a trending upregulation in + LPS + IFNγ RAW 264.7 and significant down-regulation in + LPS + IFNγ J774A.1 in an E2 dose-dependent manner (Fig. 5 A). On the other hand, Arg-1 expression (canonical pro-regenerative marker) was significantly decreased for + LPS + IFNγ RAW 264.7 and had a trending increase in + LPS + IFNγ J774A.1 in the presence of E2 (Fig. 5 A). There was no Arg-1 expression for + LPS + IFNγ J774A.1 in hormone free conditions. Both + IL-4 RAW 264.7 and + IL-4 J774A.1 macrophages exhibited decreasing expressions of Arg-1 with increasing E2 pre-treatment (Fig. 5 B). Cycle threshold (CT) values of iNOS for + IL-4 and MØ macrophages were >/= 35 or undetermined ( Table Supplement 1 ). CT values for Arg-1 in MØ macrophages were also >/= 35 or undetermined ( Table Supplement 2 ). We quantified iNOS and MMP9 activity using ELISA and zymography, respectively. iNOS protein production in + LPS + IFNγ RAW 264.7s demonstrated a significant decrease (p < .05) in hormone free, 5 nM E2, 25 nM E2 conditions compared to basal media conditions (Fig. 5 C). At 100 nM E2, iNOS was restored to levels that were not significantly (p = .1040) different from the hormone-free condition (Fig. 5 C). Production of iNOS by + LPS + IFNγ J774A.1 was below the assay’s detection limit for all conditions. +IL-4 J774A.1 demonstrated a significant (p < .05,.01) decrease in MMP9 production at 100 nM E2 relative to all other condition groups (Fig. 5 D). +IL-4 RAW 264.7 macrophages had no significant differences in MMP9 production across different treatment groups (Fig. 5 D). These data suggest that E2 treatment impacts macrophage phenotypic function in a sex-based manner. Sex-Matched Media Environments Critically Influence Macrophage Proliferation, Inducible Nitric Oxide Synthase, and MMP9 Production in a 3D Tissue Mimetic Hydrogel RAW 264.7 and J774A.1 macrophages were encapsulated in a tissue-mimetic hydrogel platform and exposed to sex-matched/sex-mismatched environments. Encapsulated cells were evaluated in terms of proliferative capacity, MMP9, and iNOS production. RAW 264.7 macrophages exhibited no significant differences in Ki67 expression across groups (Fig. 6 A). J774A.1 cells displayed a 30–40% decrease in Ki67 expression in a sex mis-matched environment compared to sex-matched and basal media conditions (Fig. 6 B). Additionally, MMP9 production was elevated in male-derived macrophages exposed to sex-mismatched female-derived-conditioned media, despite baseline MMP9 levels in the conditioned media itself showing no significant difference between sexes ( Supplement 3 ). These findings suggest that sex-specific cell-secretome interactions may play a critical role in regulating macrophage proliferation and ECM remodeling capacity. Discussion Incorporating sex-accurate environments and sex-relevant cells in disease modeling, therapeutic assessments, and diagnostic development is essential for achieving clinically translatable technologies. However, sex is often overlooked as a variable in preclinical experimental design, significantly affecting downstream workflows. This oversight can lead to costly delays and inefficiencies, in terms of safety, time, and resources. With this in mind, we investigated the influence of sex on immune cell function and found that it significantly affects macrophage responsiveness to E2 and to sex-specific secretome environments. As key regulators of inflammation and tissue repair throughout the body, macrophages are a crucial cell type in immunological studies. Herein, we sought to thoroughly characterize the different sex-based effects on RAW 264.7 (male-derived) and J774A.1 (female-derived) cell lines in estrogen receptor (ER) expression, proliferative, functional, and phenotypic capabilities. In this study, there were differential expressions between the gene and protein levels for ERs. We observed that upregulation of gene Esr1 coincided with lower expression of ERα, whereas downregulation coincided with increased ERα expression. Particularly, J774A.1 (female) macrophages had a substantially higher relative expression of ERα protein, but significantly downregulated Esr1 at a high 17β-estradiol (E2) dose. This data suggests that within these cell types, ERα regulation has an antagonistic effect on Esr1 expression. This aligns with literature that has discussed that increasing ERα binding activity has a transcriptional repressive effect similar to that of tamoxifen – a well-defined ER antagonist.( 22 ) Interestingly, RAW 264.7 ERα protein expression in general maintains relatively low signal across all treatment groups. In macrophages specifically, heightened ERα expression has been linked to intensified inflammatory responses.( 23 ) Consequent divergent behaviors (especially regarding inflammatory pathways) between RAW 264.7 and J774A.1 macrophages in response to ERα ligand, E2, can therefore, in part, be attributed to differences in gene and proteomic ER expression. In this work, phagocytic capabilities appeared to be both hormone- and sex-dependent. This aligns with previous data suggesting that E2 treatments may aid RAW 264.7 phagocytosis.( 24 ) The effects on J774A.1 cells also align with previous studies displaying decreased tumoricidal phagocytosis in the presence of E2.( 25 ) Previous studies have reported an inhibition of J774A.1 cell phagocytosis in an E2 dose-dependent manner. On a broader perspective, E2-decreased phagocytic ability in female-derived macrophages (J774A.1) could lead to more pathogens and debris in the body, in turn causing persistent bodily inflammation in response to these materials.( 26 ) This may play a role in a higher prevalence of certain chronic diseases in women, a result of naturally higher circulating and fluctuating levels of E2 in women compared to men.( 27 ) E2 and sex-based factors may also influence macrophage-mediated remodeling of the ECM. In this study, E2 supplementation elevated MMP9 production in J774A.1 cells compared to both basal and hormone-free conditions. MMPs are key biomarkers of macrophage-mediated remodeling of the extracellular environment. Among them, MMP9 is particularly important, as its dysregulated expression is implicated in both physiological and pathological remodeling processes.( 28 ) Overexpression of MMP9 has been linked to increased inflammation, fibrosis, and cardiovascular complications.( 28 – 30 ) These findings, therefore, may contribute to a broader understanding of the mechanistic basis for sex-based differences observed in cardiovascular disease. Macrophage phenotype skewing is critical for macrophage niche fulfillments at given tissue sites. We therefore wanted to characterize the effects of E2 and sex on macrophage phenotypic skewing. By analyzing proliferative and morphological outcomes, we established baseline characterizations of sex-specific, phenotypically skewed macrophage cell lines following E2 pre-treatment. Geometric descriptors of cell shape, such as aspect ratio, provide insight into cell elongation, division mechanics, gene expression, signaling pathways, and adhesion properties.( 31 – 33 ) Our aspect ratio analysis indicates that higher levels of E2 priming promote a more elongated morphology in macrophages skewed toward an inflammatory phenotype, suggesting a shift toward a more active and adherent state. These morphological changes are consistent with increased Ki67 expression, indicating enhanced proliferative capacity following inflammatory stimulation. Furthermore, elevated E2 levels correlated with increased expression of the pro-inflammatory marker iNOS and decreased expression of the pro-regenerative marker Arg-1 in both cell lines, supporting the observed phenotypic trends.( 34 ) An imbalance between pro-inflammatory and pro-regenerative macrophage cell types is a common feature of many pathological conditions. For example, during wound healing, the initial acute inflammatory response is driven by the infiltration and differentiation of inflammatory macrophages. However, if this response fails to resolve, it can lead to chronic inflammation. Fluctuation in circulating E2 (such as across the menstrual cycle) has been attributed to exacerbated inflammatory symptoms in certain pathologies.( 35 , 36 ) Hormonal increases specifically have been implicated in the exacerbation and even the onset of certain chronic inflammatory states. For instance, in autoimmune rheumatic diseases (i.e. systemic lupus erythematosus) individuals are advised against hormone replacement therapies for E2 as this can exacerbate their autoimmune symptoms.( 37 ) Additional observations from the phenotypic enzymatic analysis supports a broader mechanistic role for sex- and hormone-based factors in driving a greater pro-inflammatory phenotype and a dysregulated pro-regenerative macrophage response. Pro-inflammatory phenotypic capacity at the proteomic level was greater for male-derived murine macrophages relative to female-derived murine macrophages. iNOS production was at a detectable level for pro-inflammatory RAW 264.7 and increased with an increasing E2 presence, whereas iNOS production was undetectable in pro-inflammatory J774A.1 macrophages. This aligns with iNOS gene expression, which was downregulated relative to the calibrator in J774A.1 cells, but upregulated above the calibrator in RAW 264.7. These findings may help explain why, despite being less prevalent in males, certain autoimmune and cardiovascular diseases present with greater clinical severity in males compared to females.( 38 , 39 ) Additionally, this may evidence that female cell types may exhibit some protective or resistant responses to inflammatory processes in the presence of changing E2 levels. In this study, +IL-4 J774A.1 macrophages demonstrated impaired Arg-1 expression and MMP9 production at higher E2 dosing. This pattern may indicate a dysfunctional pro-regenerative phenotype. Impaired pro-regenerative macrophages, particularly those unable to effectively remodel the ECM, have been hypothesized to contribute to the initiation of autoimmune and chronic inflammatory conditions.( 40 , 41 ) This is likely due to their failure to clear cellular debris, which can promote autoantibody formation. These maladaptive immune responses appear to be influenced by both hormonal fluctuations and sex-based differences in estrogen signaling. Our 3D culture studies revealed a significant reduction in proliferation when female-derived macrophages were exposed to a male-derived secretome, indicating that female-derived macrophage proliferation in 3D environments is critically dependent on sex-matched extracellular cues. In contrast, soluble factor analysis showed increased MMP9 expression in RAW 264.7 macrophages exposed to a sex-mismatched environment compared to sex-matched conditions. These findings suggest that sex-mismatched conditions elicit divergent behavioral outcomes in male versus female-derived macrophages. Specifically, female-derived macrophages appear more sensitive to changes in proliferation, while male-derived macrophages demonstrate altered enzymatic activity (particularly through matrix remodeling enzymes like MMP9) when placed in a sex-mismatched context. This demonstrates that not only the sex of the cell is important, but the sex influence of the surrounding environment is also critical. Several limitations of this study are acknowledged. Due to their consistency and availability, murine cell lines were utilized; however, future studies should incorporate primary and human-derived cells to enhance physiological relevance. Additionally, the macrophages used in this work originate from tumor-derived lines, which may not fully represent tissue-resident or peripheral blood mononuclear cell (PBMC)-derived macrophages. Future studies could include macrophage populations and subtypes from different tissue contexts which would offer deeper insight into how sex-based factors influence innate immune responses. While this study primarily focused on E2, it is also critical to examine the roles of other gonadal hormones, such as testosterone and progesterone, in modulating immune cell function. It is worth noting that E2 dosages utilized, although common throughout similar studies ( 2 , 42 ) are supraphysiological. However, they are necessary to overcome experimental in vitro issues with estradiol cellular uptake ( 43 ), and overcome rapid metabolic degradation.( 44 ) These concentrations also provide insight into non-homeostatic states, which are imperative when studying immunological dysregulations. This higher dosing approach also enables the observation of functional differences within an acute timeframe. Clinically, short-term hormone exposure has been shown to detectably skew long-term, hormone-based immunological programming in individuals undergoing gender-affirming hormone therapy.( 45 ) Lastly, although hormone-stripping methods effectively isolate the effects of E2, they may also deplete other media components, which could influence experimental outcomes. Nonetheless, this approach strengthens the attribution of observed effects specifically to E2. Perspectives and Significance Our findings underscore the importance of considering sex when utilizing macrophages for in vitro studies. Although RAW 264.7 (male-derived) and J774A.1 (female-derived) cell lines are widely used in immunological research, their sex-specific responses remain poorly characterized. Here, we demonstrate that these two differently sexed cell lines present divergent proliferative behavior, phenotypic differentiation, and functional responses to E2 (Fig. 7 ). We also demonstrated that sex matching the culture environment is critically important in viability and proteomic outcomes in our physiologically relevant 3D platform (Fig. 7 ). Overall, we implicated the influence of sex-based factors and hormonal environments in inflammatory biological biases. These differences highlight the necessity of creating sex-informed cell line selections and conditions to investigate immunological outcomes, particularly in hormone-responsive systems. Conclusions This study provides clear evidence that sex-based differences and estrogen signaling critically shape macrophage behavior, from receptor expression to functional outcomes like phagocytosis, matrix remodeling, and inflammatory polarization. By characterizing the distinct responses of male- (RAW 264.7) and female-derived (J774A.1) macrophages to E2 and sex-matched or mismatched environments, we show that both the intrinsic sex of the cell and the surrounding extracellular context are fundamental drivers of hormone response and immune function. These findings reinforce the necessity of incorporating sex-accurate models into preclinical research workflows. Failure to do so may obscure key biological responses, contributing to translational inefficiencies and clinical blind spots—especially in inflammatory and hormone-responsive diseases. This work serves as a call to action for the integration of sex-informed design in in vitro systems, offering a foundational step toward more predictive, equitable, and effective diagnostic/modeling/therapeutic development. Declarations Funding Declaration This work was supported by the National Institute of Health/National Institute of General Medical Sciences. R35GM147048 (E.M.) and the Lupus Research Alliance AWD12855, # 899151 (A.M.V.). Acknowledgments We would also like to express our gratitude to Paul Parodi for stream-lining aspect ratio analysis and Rohey Colley for polymer synthesis and hydrogel encapsulation. All figures were made using Biorender and statistical analysis were conducted using Graphpad Prism 10.1.1. Anti-sexism statement: This manuscript cannot and should not be used to make any sexist claims regarding immunological functional superiority or inferiority. Author contributions: A.M.V.- Conceptualization, experimental design, formal analysis, methodology, figure preparation, writing–original draft preparation, writing review and editing. Z.T. - Zymography execution, analysis and writing methodology. N.O.B. Hydrogel imaging, analysis, and writing methodology. V.D.- Maintaining cell cultures and writing-original draft. E.M. - methodology, experimental design, supervision, visualization, writing– original draft supervision and modification, writing-review and editing. M.M.- methodology design and review, supervision, writing-review and editing. All authors reviewed the manuscript. Competing interests: The authors have no relevant financial or non-financial interest to disclose. Consent to Publish: Not applicable. Data and materials availability: All data are available upon request. Ethics Declaration : Not applicable. References Borelli AN, Masters KS. Developing sex-accurate cell culture environments. Nat Rev Bioeng. 2025;3(1):2–3. Campbell L, Emmerson E, Williams H, Saville CR, Krust A, Chambon P, et al. Estrogen Receptor-Alpha Promotes Alternative Macrophage Activation during Cutaneous Repair. J Invest Dermatol. 2014;134(9):2447–57. Abramenko N, Vellieux F, Tesařová P, Kejík Z, Kaplánek R, Lacina L, et al. 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Supplementary Files BiologyofSexDifferencessupplementarymaterials.docx Cite Share Download PDF Status: Published Journal Publication published 14 Oct, 2025 Read the published version in Biology of Sex Differences → Version 1 posted Editorial decision: Revision requested 29 Jul, 2025 Reviews received at journal 25 Jul, 2025 Reviews received at journal 25 Jul, 2025 Reviews received at journal 24 Jul, 2025 Reviewers agreed at journal 11 Jul, 2025 Reviews received at journal 07 Jul, 2025 Reviewers agreed at journal 04 Jul, 2025 Reviewers agreed at journal 03 Jul, 2025 Reviewers agreed at journal 27 Jun, 2025 Reviewers invited by journal 25 Jun, 2025 Editor assigned by journal 25 Jun, 2025 Submission checks completed at journal 24 Jun, 2025 First submitted to journal 18 Jun, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6925474","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":477666594,"identity":"d369454d-1896-4a71-aae4-cbe85b0f3ea0","order_by":0,"name":"Alison M Veintimilla","email":"","orcid":"","institution":"University of Maryland College Park","correspondingAuthor":false,"prefix":"","firstName":"Alison","middleName":"M","lastName":"Veintimilla","suffix":""},{"id":477666595,"identity":"081f70f3-ce8d-46b8-94c3-562c551c9113","order_by":1,"name":"Zoe Turner","email":"","orcid":"","institution":"University of Maryland College Park","correspondingAuthor":false,"prefix":"","firstName":"Zoe","middleName":"","lastName":"Turner","suffix":""},{"id":477666596,"identity":"f4bf5809-9a68-48f9-bc5c-d823b22bb42c","order_by":2,"name":"Nana Owusu-Boaitey","email":"","orcid":"","institution":"University of Maryland College Park","correspondingAuthor":false,"prefix":"","firstName":"Nana","middleName":"","lastName":"Owusu-Boaitey","suffix":""},{"id":477666597,"identity":"53b986a3-aa3f-4b72-992e-5c1bbd5cd312","order_by":3,"name":"Varun Deshpande","email":"","orcid":"","institution":"University of Maryland College Park","correspondingAuthor":false,"prefix":"","firstName":"Varun","middleName":"","lastName":"Deshpande","suffix":""},{"id":477666599,"identity":"b411e10f-e94a-48ba-910a-093027feaacb","order_by":4,"name":"Margaret McCarthy","email":"","orcid":"","institution":"University of Maryland School of Medicine, University of Maryland-Medicine Institute for Neuroscience Discovery","correspondingAuthor":false,"prefix":"","firstName":"Margaret","middleName":"","lastName":"McCarthy","suffix":""},{"id":477666601,"identity":"b60bd9f3-badc-41d3-aff8-7f096dc2ce2d","order_by":5,"name":"Erika Moore","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAj0lEQVRIiWNgGAWjYHACxgcMDMxAOoFoHczMBiRrYZMgTQu/2Plj1bw51gz87DkGxGmRnJ3Mdpt3WzqDZM8bIrUY3AZrOcxgcINYW+yBWopBWuyJ1mIgnczGDLZFglgtEreTjSXnbkvnkTjzrIA4LfyzEx9+eLvNWo6/PXkDcVpggIc05aNgFIyCUTAK8AMAXA8k2Oef1FEAAAAASUVORK5CYII=","orcid":"","institution":"University of Maryland College Park","correspondingAuthor":true,"prefix":"","firstName":"Erika","middleName":"","lastName":"Moore","suffix":""}],"badges":[],"createdAt":"2025-06-18 18:53:08","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6925474/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6925474/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1186/s13293-025-00760-1","type":"published","date":"2025-10-14T15:57:05+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":85644535,"identity":"b3900794-32a3-41d5-a752-9c5f6dbcbf21","added_by":"auto","created_at":"2025-06-30 08:14:37","extension":"jpg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":67995,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eThere are no major differences in viability after E2 dosing for RAW 264.7 (male-dervived) and J774A.1 (female-derived) macrophage cell lines\u003c/strong\u003e. (\u003cstrong\u003eA\u003c/strong\u003e)\u003cstrong\u003e \u003c/strong\u003eKi67 to DAPI ratios for RAW 264.7 (left) and J774A.1 (right) based on immunocytochemistry. (\u003cstrong\u003eB\u003c/strong\u003e)\u003cstrong\u003e \u003c/strong\u003eResazurin metabolic assay relative fluorescent units (RFU) results for RAW 264.7 (left) and J774A.1 (right) cells.\u003cstrong\u003e \u003c/strong\u003eFor figure, BM refers to basal media conditions, HF refers to hormone-free conditions and 5, 25,100, refers to E2 treatment in nM. One-way ANOVA and post hoc Tukey statistical analysis conducted.\u003c/p\u003e","description":"","filename":"image1.jpg","url":"https://assets-eu.researchsquare.com/files/rs-6925474/v1/6fa4ed6bff1e3f9822a94be4.jpg"},{"id":85644841,"identity":"789fb5ad-4d83-4ad2-be33-18ea8002b735","added_by":"auto","created_at":"2025-06-30 08:22:37","extension":"jpg","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":87942,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eDifferential ER expression at high E2 dose for RAW 264.7 vs J774A.1. \u003c/strong\u003eGene expression of \u003cem\u003eEsr1\u003c/em\u003eat high E2 (100 nM) dosage for RAW 264.7 vs J774A.1. J774A.1 cells exhibit significantly higher expression of ERα compared to RAW 264.7 cells under high-dose E2 treatment, as well as relative to other hormonal treatment conditions.\u003cstrong\u003e (A\u003c/strong\u003e)\u003cstrong\u003e \u003c/strong\u003e\u003cem\u003eEsr1 \u003c/em\u003eRT-qPCR quantification for RAW 264.7 (left) and J774A.1 (right) in response to varying E2 dosages with basal media group as calibrator. \u003cstrong\u003e(B\u003c/strong\u003e) ERα to DAPI ratios based on immunocytochemistry (ICC). Double slashes (//) in the figure refers to a value jump in the y-axis. \u003cstrong\u003e(C\u003c/strong\u003e)\u003cstrong\u003e \u003c/strong\u003eRepresentative images of ICC staining for\u003cstrong\u003e \u003c/strong\u003eERα (green), and cell-nuclear marker, DAPI (blue) on RAWs 264.7 (top row) and J774A.1s (bottom row). Scale bar at 250 μm For all – BM is referring to basal media conditions, HF is referring to hormone-free conditions and 5, 25,100, refers to E2 treatment in nM. One-way ANOVA and post hoc Tukey statistical analysis conducted (*p\u0026lt;.05,**p\u0026lt;.01,***p\u0026lt;.001, ****p\u0026lt;.0001).\u003c/p\u003e","description":"","filename":"image2.jpg","url":"https://assets-eu.researchsquare.com/files/rs-6925474/v1/e67cf444e8068c1d157a60e9.jpg"},{"id":85645732,"identity":"c4553646-08d1-49a2-adb3-1b1f5e3be434","added_by":"auto","created_at":"2025-06-30 08:30:37","extension":"jpg","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":77636,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eHigh E2 has divergent effects on RAW 264.7 vs J774A.1s’ functions. \u003c/strong\u003e(\u003cstrong\u003eA\u003c/strong\u003e)\u003cstrong\u003e \u003c/strong\u003eRFU values of pHrodro bioparticle phagocytosis assay for RAW 264.7 (left) and J774A.1 (right).\u003cstrong\u003e (B\u003c/strong\u003e)\u003cstrong\u003e \u003c/strong\u003eZymmography analysis for ECM remodeling enzyme MMP9 for RAW 264.7 (left) and J774A.1 (right). The area under the curve (AUC) ratios were done based on an isolated MMP9 control. For figure, BM refers to basal media conditions, HF refers to hormone-free conditions and 5, 25,100, refers to E2 treatment in nM. One-way ANOVA and post hoc Tukey statistical analysis conducted (*p\u0026lt;.05,**p\u0026lt;.01).\u003c/p\u003e","description":"","filename":"image3.jpg","url":"https://assets-eu.researchsquare.com/files/rs-6925474/v1/4b6c189a0ae2691b9dc1615c.jpg"},{"id":85644539,"identity":"73cf9f1d-8f99-44bc-91b2-f47557d10cbb","added_by":"auto","created_at":"2025-06-30 08:14:37","extension":"jpg","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":113722,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eE2 enhances elongation and proliferation in +LPS+IFNγ activated macrophages.\u003c/strong\u003e RAW 264.7 macrophages pre-treated with increasing concentrations of E2 exhibit a more elongated morphology following +LPS+IFNγ activation. Both RAW 264.7 and J774A.1 macrophages show increased proliferation in response to E2 pre-treatment under inflammatory conditions. Aspect ratio (AR) morphology analysis for RAW 264.7 (\u003cstrong\u003eA\u003c/strong\u003e) and J774A.1 (\u003cstrong\u003eB\u003c/strong\u003e). Ki67 and DAPI ratios based on immunocytochemistry for RAW 264.7 (\u003cstrong\u003eC\u003c/strong\u003e) and J774A.1 (\u003cstrong\u003eD\u003c/strong\u003e) cells. For figure, +LPS+IFNγ refers to an inflammatorily skewed macrophage post E2 treatment. +IL-4 refers to a pro-regenerative skewed macrophage post E2 treatment. BM refers to basal media conditions, HF refers to hormone-free conditions and 5, 25,100, refers to E2 treatment in nM. One-way ANOVA and post hoc Tukey statistical analysis conducted (*p\u0026lt;.05,**p\u0026lt;.01,***p\u0026lt;.001).\u003c/p\u003e","description":"","filename":"image4.jpg","url":"https://assets-eu.researchsquare.com/files/rs-6925474/v1/5e02bd5237a5a565001900a7.jpg"},{"id":85644536,"identity":"2984fcd7-3558-47bf-b205-7a700bdd4537","added_by":"auto","created_at":"2025-06-30 08:14:37","extension":"jpg","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":82654,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eRAW 264.7 and J774A.1 macrophages differ in gene expression of canonical phenotypic markers and production of phenotypic enzymatic proteins. \u003c/strong\u003e(\u003cstrong\u003eA-B\u003c/strong\u003e) RT-qPCR quantification of phenotypic markers (\u003cem\u003eiNOS, Arg-1\u003c/em\u003e) for RAW 264.7 (left/top) and J774A.1 (right/bottom) post phenotypic stimulation (+LPS+IFNγ or +IL-4 media treatment) in response to varying E2 pre-treatment. (\u003cstrong\u003eC\u003c/strong\u003e) Detectable quantification of iNOS production in\u003cstrong\u003e \u003c/strong\u003e+LPS+IFNγ RAW 264.7 macrophages. (\u003cstrong\u003eD\u003c/strong\u003e)\u003cstrong\u003e \u003c/strong\u003eMMP9 Expression via zymography for +IL-4 RAW 264.7 (top) and +IL-4 J774A.1 (bottom) macrophages in response to E2 pre-treatment. For figure, BM refers to basal media conditions, HF refers to hormone-free conditions and 5, 25,100, refers to E2 treatment in nM. One-way ANOVA and post hoc Tukey statistical analysis conducted (*p\u0026lt;.05,**p\u0026lt;.01,***p\u0026lt;.001).\u003c/p\u003e","description":"","filename":"image5.jpg","url":"https://assets-eu.researchsquare.com/files/rs-6925474/v1/2af2eb44305ee623f7381e28.jpg"},{"id":85646495,"identity":"13a6f4ab-eb1a-4506-aeb9-76f8d5d0e1ea","added_by":"auto","created_at":"2025-06-30 08:38:56","extension":"jpg","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":88658,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eSex-mismatched secretomic environments differentially influence macrophage behavior in 3D culture. \u003c/strong\u003eExposure to a sex-mismatched secretome is associated with a trend toward increased proliferation in RAW 264.7 macrophages, while showing a negative trend in proliferation for J774A.1 cells. Additionally, sex-mismatched conditions elevate MMP9 expression in RAW 264.7 macrophages\u003cstrong\u003e.\u003c/strong\u003e (\u003cstrong\u003eA\u003c/strong\u003e) Ki67+ over DAPI+ ratios based on immunocytochemistry imaging for RAW 264.7 (striped) and J774A.1 (dotted) in sex-matched and sex mis-matched environments. (\u003cstrong\u003eB\u003c/strong\u003e) MMP9 expression via zymography for RAW 264.7 (striped) and J774A.1 (dotted) in sex-matched and sex mis-matched environments. For figure – BM refers to basal media, RM (green) refers to RAW 264.7 conditioned media, JM (pink) refers to J774A.1 conditioned media. One-way ANOVA and post hoc Tukey statistical analysis conducted (*p\u0026lt;.05,**p\u0026lt;.01,***p\u0026lt;.001).\u003c/p\u003e","description":"","filename":"image6.jpg","url":"https://assets-eu.researchsquare.com/files/rs-6925474/v1/c15ec0403a3161a2290b3ad3.jpg"},{"id":85644547,"identity":"feb396fd-e695-468e-87db-5fbceb6dd34a","added_by":"auto","created_at":"2025-06-30 08:14:37","extension":"jpg","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":297954,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eSummary of findings in investigation of sex-based factors influencing macrophage modulation.\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"image7.jpg","url":"https://assets-eu.researchsquare.com/files/rs-6925474/v1/680fe287265922e43026d78a.jpg"},{"id":93955920,"identity":"ecdfc598-36e7-49b8-840c-812b38aea62c","added_by":"auto","created_at":"2025-10-20 16:06:44","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2314332,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6925474/v1/7cfd30e4-f19a-4087-9a2f-9953a020f42b.pdf"},{"id":85644843,"identity":"644db4c8-489f-46b8-8f66-1bb7bf8dcacc","added_by":"auto","created_at":"2025-06-30 08:22:37","extension":"docx","order_by":0,"title":"","display":"","copyAsset":false,"role":"supplement","size":130601,"visible":true,"origin":"","legend":"","description":"","filename":"BiologyofSexDifferencessupplementarymaterials.docx","url":"https://assets-eu.researchsquare.com/files/rs-6925474/v1/99c7950200d07ef24df754cd.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"Cell Line-Specific Estrogen Responses Uncover Functional Sex Differences in Murine Macrophages","fulltext":[{"header":"Plain English Summary","content":"\u003cp\u003eMales and females often experience different symptoms, risks, and outcomes when it comes to certain diseases and health conditions. One reason for this may be that male and female immune cells behave differently, especially in response to hormones like estrogen. In this study, we looked at two commonly used types of mouse immune cells\u0026mdash;one originally from a male and one from a female\u0026mdash;to see how they respond to estrogen.\u003c/p\u003e\n\u003cp\u003eWe found that male and female cells do not respond to estrogen in the same way. They showed different levels of activity, growth, and behavior depending on both the hormone exposure and the sex origin of the environment they were in. We also placed the cells in a gel that mimics real body tissue and exposed them to sex-specific environments and saw clear differences in how male and female cells responded. For example, female-derived cells were more sensitive in their ability to grow when placed in a \u0026ldquo;male\u0026rdquo; environment, while male-derived cells changed their behavior when exposed to signals from female environments.\u003c/p\u003e\n\u003cp\u003eOur findings show that both the origin of immune cells and the environment they are placed in can strongly influence how they behave. This means that to better understand immune responses and develop more effective treatments, scientists need to consider sex as a key factor in their research models. Ignoring these differences could lead to incomplete or misleading results.\u003c/p\u003e"},{"header":"Highlights","content":"\u003cul\u003e\n \u003cli\u003eOpposing regulation of \u003cem\u003eEsr1\u003c/em\u003e gene and ER\u0026alpha; protein in response to E2 across popularly used macrophage cell-lines (RAW 264.7 and J774A.1).\u003c/li\u003e\n \u003cli\u003eDistinct phagocytic and inflammatory responses in a sex-dependent manner, relevant to chronic disease disparities.\u003c/li\u003e\n \u003cli\u003eDifferential regulation of MMP9, offering mechanistic insight into sex-based extracellular matrix remodeling.\u0026nbsp;\u003c/li\u003e\n \u003cli\u003eReduced viability of female-derived viability in female-derived macrophages and altered proteomic signatures in male-derived macrophages exposed to sex-mismatched 3D matrices.\u003c/li\u003e\n\u003c/ul\u003e"},{"header":"Background","content":"\u003cp\u003eSimilar to many organs in the body which exhibit sex differences in form and function, individual cell types are also influenced by sex - impacting disease progression, drug responses, and treatment outcomes.(\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e) Gonadal hormones and steroid hormone receptors direct sex differences associated with immune cell function. Estrogen receptors (ERs) in particular affect several key immunological regulatory pathways and processes. Estrogen receptor (ER) modulation impacts wound healing, autoimmunity, and viral immunity.(\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e) Estrogen receptors are intracellularly present within macrophages, a crucial innate immune cell type.(\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e) Macrophages are a heterogeneous cell type that respond strongly to environmental stimuli.(\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e) Estrogenic effects have been associated with macrophage self-renewal, specialization, phagocytic capabilities, immune activation, and immune tolerance.(\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e) The most potent estrogen-type in the human body is 17\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:\\beta\\:\\)\u003c/span\u003e\u003c/span\u003e-estradiol (E2\u003cb\u003e)\u003c/b\u003e which has been attributed to sex biases in disease outcomes through immune cell modulation.(\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e) While macrophages are known to express ERs, the influence of sex differences on their response to E2 and subsequent immune function has yet to be characterized. Characterization of macrophage response to E2 is needed to create translatable experimental designs and models, especially for hormone-responsive systems.\u003c/p\u003e \u003cp\u003eMacrophages clear pathogens and are responsible for apoptotic cell debris.(\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e) Subsequently, macrophages orchestrate antigen presentation and cytokine production. Macrophages drive the regulation of inflammatory responses, tissue regeneration, and downstream immune processes, including immune tolerance and chronic immune activation. Macrophages exhibit a range of phenotypic plasticity, enabling them to occupy diverse immunological roles.(\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e) Traditionally, their phenotypes have been broadly categorized into two functional states: pro-inflammatory and pro-regenerative.(\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e) Pro-inflammatory macrophages are characterized by their ability to sustain immune activation through the secretion of pro-inflammatory cytokines and chemokines, as well as the production of reactive oxygen species and nitric oxide.(\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e) In contrast, pro-regenerative macrophages support tissue repair and remodeling by interacting with the extracellular matrix (ECM) and facilitating the resolution of inflammation.(\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e)\u003c/p\u003e \u003cp\u003eMany \u003cem\u003ein vitro\u003c/em\u003e studies investigating the underlying mechanisms of macrophages predominantly use the BALB/c murine cell lines, RAW 264.7 (male-XY karyotype) and J774.A1 (female-XX karyotype), to examine core functions and biophysical properties.(\u003cspan additionalcitationids=\"CR12\" citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e) A PubMed database search shows that since 1980, these cell lines have been directly referenced in titles/abstracts of more than 14,000 published articles, with RAW 264.7 cells comprising nearly 80% of the total results. Additionally, RAW 264.7 cells have been referred to by the Alliance for Cellular Signaling as the preferred experimental platform for large-scale studies of signaling pathways.(\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e) Despite their commonplace use throughout scientific literature, these cell lines have yet to be assessed against one another in response to different hormonal challenges.\u003c/p\u003e \u003cp\u003eAlthough gonadal hormones are known to modulate macrophage behavior, many \u003cem\u003ein vitro\u003c/em\u003e studies using macrophages fail to account for the hormonal environment and sex-related influences. How do hormones\u0026mdash;routinely present in cell culture conditions\u0026mdash;impact macrophage function? For example, phenol red, commonly used in media to monitor pH, is a weak estrogenic mimic whose concentration varies by vendor. These common cell culture components can have unintended variable influences on molecular outputs.(\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e) Additionally, sex matching experiment constituents has been demonstrated throughout the literature to influence cell\u0026ndash;extracellular environment interactions.(\u003cspan additionalcitationids=\"CR17\" citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e) Building on the importance of sex factors in experimental design, we sought to address a key gap in the literature regarding the estrogen responsiveness of commonly used macrophage cell lines.\u003c/p\u003e \u003cp\u003eTo our knowledge, there are no prior studies that directly investigated RAW 264.7 vs J774.A1 cells' response to E2 treatment. Here we ask how does E2 treatment and ER expression differ between these two dominantly used macrophage cell lines? We quantified ER expression at the genetic and protein level of both cell lines in response to E2 treatment. We found divergent responses between the cell lines at high doses of E2 at both the genomic and proteomic levels, particularly for the estrogen receptor subtype, ERα. Additionally, we assessed these cell lines\u0026rsquo; functionalities in response to E2 treatment, characterizing proliferation, phagocytic capabilities, extracellular matrix (ECM) remodeling capabilities, inducible nitric oxide synthase (iNOS) production, and polarization.\u003c/p\u003e \u003cp\u003eWe found that these core macrophage functions were dictated by the sex derivation of each cell and E2 presence within the culture environment. We also utilized a tissue-mimetic model to assess proliferative and enzymatic activity in response to a sexed cell culture environment within a more physiologically relevant \u003cem\u003ein vitro\u003c/em\u003e system. Specifically, we encapsulated male-derived and female-derived murine macrophage cell lines within a polyethylene glycol (PEG)-based hydrogel platform functionalized with cell-adhesive and protease-cleavable sites.(\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e, \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e) This platform was then exposed to sex-matched and sex-mismatched culture conditions to evaluate the impact of environmental sex-secretome alignment on macrophage function. While male-derived murine macrophages were relatively unaffected by a sex mismatched environment, female-derived macrophages exhibited reduced proliferative capacity under mismatched conditions. Additionally, male-derived macrophages cultured in a female-conditioned environment showed increased expression of the ECM enzyme MMP9, suggesting that factors within the female-derived macrophage secretome may promote an enhanced tissue remodeling environment. This study underscores key phenotypic and functional differences between macrophage immune cells of different sexes\u0026mdash; even among routinely used immortalized cell lines.\u003c/p\u003e"},{"header":"Materials and Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003e2D Cell Culture and Treating Schemas\u003c/h2\u003e \u003cp\u003eMacrophage cell lines RAWs 264.7 and J774A.1 were obtained from American Type Culture Collection (ATCC). Both lines are derived from BALB/c mice but are of different sexes with true XX and XY karyotype.[11], [12] Cells were initially cultured in Dulbecco\u0026rsquo;s Modified Eagle\u0026rsquo;s Medium (DMEM), supplemented with 10% fetal bovine serum (FBS), 100 I\u0026micro; penicillin and 100 \u0026micro;g/ml streptomycin (\u003cb\u003ereferred to in this paper as basal media; BM\u003c/b\u003e). Other media compositions for different treatment groups were phenol-free DMEM, with charcoal-stripped FBS, 100 \u0026micro;l penicillin and 100 \u0026micro;g/ml streptomycin (\u003cb\u003ereferred to as hormone free media; HF\u003c/b\u003e). In the macrophage phenotype assessments, IFNγ (10 ng/ml) and LPS (50\u0026ndash;100 ng/ml) were added to basal media and are referred to as +\u0026thinsp;IFNγ/+LPS media. In the same aforementioned assays, IL-4 (20 \u0026micro;g/ml) was added and is referred to here as +\u0026thinsp;IL-4 media.\u003c/p\u003e \u003cp\u003eFor all 2D assays, RAW 264.7 and J774A.1 cells were seeded at the same cell density ranging from ~\u0026thinsp;5,000\u0026ndash;40,000 cells/cm^2 depending on the timespan, and confluency requirements for the given assay. RAW 264.7 and J774A.1 were given 24 hours to adhere before being treated with different concentrations of E2 (5 nM, 25 nM, 100 nM), as well as hormone-free and basal media conditions. For phenotype assessments cells were allowed 24 hours to adhere, followed by 24 hours of hormonal treatment and 48 hours of stimulation with +\u0026thinsp;IFNγ/+LPS or +\u0026thinsp;IL-4 media.\u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003eSynthesis of PEG-RGDS and PEG-PQ Conjugates\u003c/h3\u003e\n\u003cp\u003eRGDS (Arg-Gly-Asp-Ser, MW 433 g/mol; ThermoFisher Scientific) and PQ (GGGPQGIWGQGK, MW 1141 g/mol; Genscript) peptides were conjugated to acrylate-PEG-succinimidyl valerate (MW 3400 g/mol; Laysan Bio) via amine-reactive chemistry. For PEG-RGDS conjugation, RGDS and acrylate-PEG-SVA were mixed at a 1.2:1 molar ratio in 20 mM HEPBS buffer (pH 8.5) and adjusted to pH 8.0 with 0.1 M NaOH. The reaction proceeded overnight at 4\u0026deg;C under gentle agitation, protected from light. The resulting acrylate-PEG-RGDS was dialyzed using a 3.5 kDa MWCO cellulose membrane (Cole-Palmer, Spectra/Por), frozen at \u0026minus;\u0026thinsp;80\u0026deg;C, lyophilized, and stored at \u0026minus;\u0026thinsp;80\u0026deg;C.\u003c/p\u003e \u003cp\u003eFor PEG-PQ-PEG conjugation, the same reaction conditions were used, with dialysis performed using a 6\u0026ndash;8 kDa MWCO membrane. The final acrylate-PEG-PQ-PEG product was similarly frozen, lyophilized, and stored at \u0026minus;\u0026thinsp;80\u0026deg;C until further use.\u003c/p\u003e\n\u003ch3\u003e3D Cell Culture and Treating Schemas\u003c/h3\u003e\n\u003cp\u003eFor 3D experiments cells were cultured in T75 flasks containing basal media until reaching 40% confluency. The flask media was then replaced with hormone-free media for 24 hours to allow the media to be conditioned by either RAW 264.7 or J774A.1 macrophages.\u003c/p\u003e \u003cp\u003eCells were then encapsulated in a PEG hydrogel at a cell density of 4 \u0026times; 10⁶ cells/ml. In brief, hydrogels (5 \u0026micro;l) were prepared using a solution of 5% w/v PEG-PQ-PEG and 3.5 mM PEG-RGDS in HEPES-buffered saline (10 mM HEPES, 100 mM NaCl, pH 7.4) containing 1.5% TEOA, 10 \u0026micro;M eosin Y (photoinitiator), and 0.35% N-vinyl-2-pyrrolidone (Fisher Scientific). Each hydrogel included 20,000 cells. The 5 \u0026micro;l hydrogel precursors were pipetted onto a polydimethylsiloxane (PDMS) slab between two\u0026thinsp;~\u0026thinsp;380 \u0026micro;m PDMS spacers. A methacrylated coverslip was placed atop the setup and the mixture was polymerized under white light for 60 seconds. Following crosslinking, the coverslip was inverted into a 24-well plate, and 1 ml basal media was gently added.\u003c/p\u003e \u003cp\u003eCells were permitted to acclimate in hydrogel conditions in basal media for 24 hours. Then culture media was switched to provide sex-matched (encapsulated RAW 264.7 cells in RAW 264.7 conditioned media, encapsulated J774A.1 cells in J774A.1 conditioned media) or sex-mismatched (encapsulated RAW 264.7 cells in J774A.1 conditioned media (.5 ml), encapsulated J774A.1 cells in RAW 264.7 conditioned media) conditions. Additional hydrogel controls continued to be cultured in basal media. Post 48-hour sexed condition treatment, hydrogels were fixed and supernatant was recovered to conduct immunocytochemistry (ICC) and soluble factors analysis.\u003c/p\u003e\n\u003ch3\u003eMetabolic Assay in Response to E2 treatment\u003c/h3\u003e\n\u003cp\u003eA resazurin-based metabolic assay was performed per manufacturer instructions (ThermoFisher, cat. no. A50101) post E2, basal media and hormone free treatment. Additional cytotoxic controls were plated with media that contained 10% dimethyl sulfoxide (DMSO). Blank wells including either basal media or hormone-free media were included to normalize fluorescence readings. In brief, 10 \u0026micro;l of resazurin reagent was added per well and allowed to incubate for 2.5 hours. Fluorescence of the plate was then read on a microplate reader (Spark, Tecan) at 560 nm excitation and 590 nm emission.\u003c/p\u003e\n\u003ch3\u003eImmunocytochemistry of Proliferation Marker Ki67 and ERα\u003c/h3\u003e\n\u003cp\u003eThe time and antibody dilution ranges are referencing 2D vs 3D staining. Following 24 hours of hormone treatment or phenotypic skewing, cells and hydrogels were fixed in 4% paraformaldehyde for 20 or40 minutes at room temperature, then washed 3x with Tris-buffered saline (TBS). Cells were permeabilized with 0.125 \u0026minus;\u0026thinsp;.25% TritonX for 10\u0026ndash;45 minutes at room temperature and then washed 4x with TBS (5 minutes per rinse). Cells were subsequently blocked with 5% donkey serum for 2 hours-overnight at 4\u0026deg;C. After blocking, cells were incubated at 4\u0026deg;C with primary antibodies for Ki67 (rabbit-anti-mouse polyclonal antibody, Abcam, ab15580) at a 1:200 or 1:400 dilution in 0.5% donkey serum overnight-1 day. For ICC of ERα primary rabbit-anti-mouse polyclonal antibodies (Invitrogen, cat. no. PA1-309) were utilized at a 1:400 dilution in 0.5%. After primary incubation, cells were rinsed 4x with TBS\u0026thinsp;+\u0026thinsp;0.01% Tween for 2 or6 hours, with the final rinse being just TBS. Cells were then incubated at 4\u0026deg;C with secondary antibody Alexa Fluor 555 (Invitrogen, A31570) or Alexa Fluor 488 (Thermofisher, A-21206) at a 1:400 dilution overnight-1 day. Cells were then given a TBS rinse for 1\u0026ndash;3 hours. DAPI nuclear stain was added to cells for an hour-overnight following 3x TBS washes (5 minutes each).\u003c/p\u003e \u003cp\u003eImaging was then done using Andor BC43 benchtop confocal for DAPI (blue channel), Ki67 (red and green channel), and ERα (green channel). One image per well was chosen randomly for four wells per condition for 2D studies. Image analysis was conducted through automatic thresholding (Ki67) or Cellpose ROI quantification (ERα) for DAPI/cell count. Then a positive signal was counted via manual marking (ERα)/automatic thresholding (Ki67) and subsequent particle analysis function on Fiji ImageJ. Imaging within the hydrogel was taken as Z-stacks with 1.5 \u0026micro;m and a range of 40 \u0026micro;m. Hydrogel Z-stacks were imported into IMARIS, and cells were identified using spot analysis of the DAPI channel. The Imaris machine learning algorithm was then trained to identify DAPI (blue) positive cells that also expressed Ki67 (green). The output of the algorithm was checked for accuracy, and the number of Ki67 positive and negative cells was then quantified.\u003c/p\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003ePhenotypic Morphology Assessment\u003c/h2\u003e \u003cp\u003eTo conduct these assessments cells were fixed and stained for DAPI post hormonal pre-treatment and phenotypic skewing. Differential phase contrast imaging was then performed for all treatment wells (4 wells per group condition) using Andor BC43 benchtop confocal microscope. Cellpose algorithm for cellular segmentation was then trained to generate ROIs and consequent aspect ratio. ROIs were imported to Fiji ImageJ and manually checked for accuracy. The first 50 accurately generated/manually redrawn aspect ratio measurements were taken per well. Statistical analysis was run on well averages as replicates, so as to not falsely power analysis. Singular measurements to demonstrate distribution of aspect ratio measurements are offered in supplementary documentation.\u003c/p\u003e \u003cp\u003e \u003cb\u003eReverse Transcriptase Quantitative Polymerase Chain Reaction (RT-qPCR) for\u003c/b\u003e \u003cb\u003eEsr1\u003c/b\u003e, \u003cb\u003eEsr2\u003c/b\u003e, \u003cb\u003eArg-1\u003c/b\u003e, \u003cb\u003eand\u003c/b\u003e \u003cb\u003eiNOS\u003c/b\u003e\u003c/p\u003e \u003cp\u003eFollowing E2, basal media, hormone-free treatments, or phenotype skewing (treatment with +\u0026thinsp;IL-4 or +\u0026thinsp;LPS/ IFNγ media) cells were lysed and total RNA was extracted using the RNeasy Mini Kit (Qiagen, 74104), then quantified with a NanoDrop spectrophotometer. Reverse transcription was performed with 50\u0026ndash;100 ng of total RNA using the iScript cDNA Synthesis Kit (Bio-Rad). Complementary DNA was amplified using SYBR Green PCR Master Mix (Bio-Rad). A pre-validated SYBR Green primer pair for mouse \u003cem\u003eEsr1\u003c/em\u003e, \u003cem\u003eEsr2\u003c/em\u003e, \u003cem\u003eArg-1\u003c/em\u003e, and \u003cem\u003eiNOS\u003c/em\u003e were used according to the manufacturer instructions (\u003cb\u003erefer to table below\u003c/b\u003e). The cycling parameters were as follows: 95\u0026deg;C for 25 seconds (polymerase activation and DNA denaturation), 95\u0026deg;C for 2 s (denaturation), and then 60\u0026deg;C for 25 s (annealing/extension) for a total of 40 cycles. Relative gene expression was calculated using the 2^(-ΔΔCT) method, with β-actin as the internal control and the basal media treatment group as the calibrator.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"No\" id=\"Taba\" border=\"1\"\u003e \u003ccolgroup cols=\"5\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGene Symbol\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAssay Description\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eVendor\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eCatalog Number\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eNotes\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eEsr1\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePrimePCR SYBR Green Assay (mouse)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eBio-Rad\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eqMmuCED0044294\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003ePre-validated assay\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eEsr2\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePrimePCR SYBR Green Assay (mouse)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eBio-Rad\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eqMmuCID0005566\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003ePre-validated assay\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eArg1\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePrimePCR SYBR Green Assay (mouse)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eBio-Rad\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eqMmuCID0022400\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003ePre-validated assay\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eiNOS\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCustom Primers\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eIDT\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003efwd: 485010148\u003c/p\u003e \u003cp\u003erev: 485010147\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eCustom order\u003c/p\u003e \u003cp\u003e5\u0026rsquo;-3\u0026rsquo;\u003c/p\u003e \u003cp\u003efwd: TTT GCT TCC ATG CTA ATG CGA AAG\u003c/p\u003e \u003cp\u003erev: GCT CTG TTG AGG TCT AAA GGC TCG\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003ePhagocytosis Assay in Response to E2 Treatment\u003c/h3\u003e\n\u003cp\u003eRAWs 264.7 and J774A.1 were given 24 hours to adhere before being treated with different concentrations of E2 (5 nM, 25 nM, 100 nM), as well as hormone-free and basal media. Blank wells with either basal or hormone-free media were included to normalize %effect calculations. Phagocytosis was then assessed through Invitrogen pHrodro Red E. coli BioParticle\u0026trade; conjugates (P35361) per manufacturer instructions. Cells were incubated with bioparticles for 2 hours post-treatment period and subsequent fluorescence intensity was measured using an excitation and emission maxima of 560 nm and 585 nm respectively on a microplate reader (Spark, Tecan). Additional controls were treated 2 hours prior to the addition of bioparticles with cytochalasin D (20 \u0026micro;M) to demonstrate impaired phagocytosis.\u003c/p\u003e \u003cp\u003ePercent effect of phagocytosis was calculated through the subtraction of background fluorescence reads from experimental and control wells. Reads were then divided by the positive control for phagocytosis, which was the basal media condition in this assay.\u003c/p\u003e\n\u003ch3\u003eZymography for MMP9 in Response to E2 Treatment and Sex-matched/Mis-matched Environments\u003c/h3\u003e\n\u003cp\u003eConditioned media from RAW 264.7 and J774A.1 cells following treatment with E2 (5 nM, 25 nM, 100 nM), hormone-free, basal, or phenotype-specific media were collected and stored at \u0026minus;\u0026thinsp;80\u0026deg;C until analysis. Supernatants from hydrogel encapsulation experiments were similarly collected and frozen at \u0026minus;\u0026thinsp;80\u0026deg;C. Protein concentration was determined using a bicinchoninic acid (BCA) protein assay following the manufacturer\u0026rsquo;s instructions (Thermo Scientific, 23225). Absorbance was measured at 562 nm using a microplate reader (Spark, Tecan). The average absorbance of each sample and standard was calculated, and a linear regression was applied to the BSA standard curve. The resulting equation was used to interpolate protein concentrations of experimental samples.\u003c/p\u003e \u003cp\u003eGelatin zymography was used to assess MMP9 activity in the conditioned media. A total of 20 \u0026micro;g of protein per sample, as determined by BCA assay, was mixed with non-reducing sample buffer and loaded onto 10% zymogram gelatin gels (Novex, ZY00105BOX). A molecular weight protein ladder (Thermo Fisher Scientific, 26623) and 125 ng of recombinant mouse MMP9 protein (Abcam, ab39309) were included on each gel as size and activity controls, respectively. Gels were run at 125 V and 0.03 mA for approximately 120 minutes at 4\u0026deg;C in 1X Tris-Glycine SDS running buffer (Novex, LC2675). Following electrophoresis, gels were incubated in 1X renaturation buffer (Novex, LC2670), followed by 1X development buffer at room temperature for 30 minutes each with gentle agitation to remove SDS and restore enzyme activity. Gels were then transferred to 1X developing buffer (Novex, LC2671) and incubated at 37\u0026deg;C overnight to allow substrate digestion.\u003c/p\u003e \u003cp\u003eAfter incubation, gels were washed twice in deionized water for 15 minutes each, stained for 1 hour using Imperial\u0026trade; Protein Stain (Thermo Fisher Scientific, 24615), and subsequently washed twice in deionized water for 1 hour each, until clear bands representing proteolytic activity were visible. Gels were imaged using LI-COR Odyssey CLx at 169 \u0026micro;m resolution, medium scan quality, 0.5 intensity, and 0.5 mm focus offset range. Image analysis was performed in ImageJ. Lanes were defined and plotted using the gel analyzer tool, and the area under the curve (AUC) was measured for each unstained band to quantify relative MMP9 protease activity. AUC values were normalized to the recombinant mouse MMP9 control band intensity.\u003c/p\u003e \u003cdiv id=\"Sec11\" class=\"Section2\"\u003e \u003ch2\u003eEnzyme-linked Immunosorbent Assay (ELISA) for Inducible Nitric Oxide Synthase (iNOS) Production\u003c/h2\u003e \u003cp\u003eA colorimetric sandwich ELISA for mouse iNOS (Abcam, ab253219) was performed per manufacturer instructions. Supernatants from phenotype studies were diluted in 1X cell extract buffer to 300 \u0026micro;g/ml, respectively, with protein concentrations determined by BCA (see Zymography section). Standard mouse iNOS was serially diluted from 3,000 to 46.88 pg/ml, including a blank (0 pg/ml), and plated in duplicate; samples were plated in triplicate. A capture/detection antibody cocktail was added to all wells, followed by a 1-hour incubation at room temperature on a plate shaker (400 rpm). After three washes with Wash Buffer PT, tetramethylbenzidine substrate was added and incubated for 5\u0026ndash;10 minutes at room temperature on a plate shaker (400 rpm). Stop solution was then applied for 1 minute, and absorbance was measured at 450 nm using a microplate reader (Spark, Tecan).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec12\" class=\"Section2\"\u003e \u003ch2\u003eStatistical Analysis\u003c/h2\u003e \u003cp\u003eThroughout ICC experiments, DAPI\u0026thinsp;+\u0026thinsp;cell counts were exported into GraphPad Prism 10.1.1 (La Jolla, CA). All cell counts were ensured to be non-significant between treatment groups within a given cell-line. In 2D experiments, sampling from wells were considered as replicates. There were always 3\u0026ndash;4 replicates per condition for all assays. In 3D experiments, 3 hydrogels were fabricated per condition and considered technical replicates. A one-way analysis of variance (ANOVA) with a post-hoc Tukey test was conducted between hormone-treatment and sex-matching treatment groups. Statistical significance is reported as *\u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.05, **p\u0026thinsp;\u0026lt;\u0026thinsp;0.01, and ***p\u0026thinsp;\u0026lt;\u0026thinsp;.001. For all plate reader assays coefficient of variation was calculated and ensured to be no greater than 15%. Results are presented as the mean\u0026thinsp;\u0026plusmn;\u0026thinsp;standard deviation.\u003c/p\u003e \u003c/div\u003e"},{"header":"Results","content":"\u003cp\u003e \u003cb\u003eE2 Treatment Had No Effect on Viability but Differentially Regulated Estrogen Receptor Expression in RAW 264.7 and J774A.1 Cells\u003c/b\u003e \u003c/p\u003e \u003cp\u003eTo assess cell viability in response to E2 treatment, we measured metabolic activity using resazurin reduction and proliferation via Ki67 expression. There were no statistically significant differences in either metabolic activity (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eA) or proliferative capacity (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eB, \u003cb\u003eSupplement 1A\u003c/b\u003e) between RAW 264.7 and J774A.1 under varying hormonal conditions.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eExpression of \u003cem\u003eEsr1\u003c/em\u003e and \u003cem\u003eEsr2\u003c/em\u003e\u0026mdash;encoding estrogen receptor subtypes α and β, respectively\u0026mdash;was quantified via RT-qPCR following E2 treatment. Interestingly, RAW 264.7 (male-derived) and J774A.1 (female-derived) cells displayed divergent \u003cem\u003eEsr1\u003c/em\u003e gene expression responses to a high dose (100 nM) of E2. At a high E2 dose (100 nM), RAW 264.7 cells showed a significant\u0026thinsp;~\u0026thinsp;3x increase in \u003cem\u003eEsr1\u003c/em\u003e expression (p\u0026thinsp;\u0026lt;\u0026thinsp;.05), whereas J774A.1 cells exhibited a significant\u0026thinsp;~\u0026thinsp;1x decrease (p\u0026thinsp;\u0026lt;\u0026thinsp;.01) compared to hormone-free conditions (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003eA). \u003cem\u003eEsr2\u003c/em\u003e expression was also measured in response to E2 but the cycle threshold (CT) values were \u0026gt;\u0026thinsp;35 indicating low to undetectable expression (\u003cb\u003eSupplement 1B\u003c/b\u003e). This is in line with other studies reporting these cell lines do not express ERβ when exposed to similar E2 concentrations such as the ones used in this study.(\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e)\u003c/p\u003e \u003cp\u003eGiven the results of gene expression analysis, immunocytochemistry (ICC) was conducted for ERα. Notably, while mRNA for \u003cem\u003eEsr1\u003c/em\u003e was high for RAW 264.7, proteomic expression of ERα was relatively low across E2 treatment groups (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003eB, Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003eC). Similarly, J774A.1 macrophages demonstrated a significantly high (p\u0026thinsp;\u0026lt;\u0026thinsp;.0001) expression of ERα at a high E2 dose compared to all other treatment groups, opposing aforementioned gene expression results (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003eB, Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003eC). The combined gene expression and proteomic data suggest that \u003cem\u003eEsr1\u003c/em\u003e expression has an antagonistic transcriptional effect on ERα protein expression in macrophage cell types.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cdiv id=\"Sec14\" class=\"Section2\"\u003e \u003ch2\u003eE2 Treatment Has Divergent Effects on Macrophage Functional Capabilities in a Sex-Dependent Manner\u003c/h2\u003e \u003cp\u003ePhagocytic activity in both cell lines was assessed using pH-responsive, fluorescently conjugated E.coli beads that emit fluorescence upon acidification within macrophage endosomes. RAW264.7 and J774A.1 cells experienced similar reductions to 40\u0026ndash;50% effect in their ability to phagocytize within hormone-free, 5 nM, and 25 nM E2 treatment groups (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003eA). Most notable were the responses to the 100 nM E2 treatment, which restored some degree of phagocytosis in RAW 264.7 cells while significantly (p\u0026thinsp;\u0026lt;\u0026thinsp;.05) depleting phagocytic capabilities in J774A.1 cells (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003eA). These results suggest that at higher concentrations, there are divergent effects of E2 in aiding RAW264.7 and inhibiting J774A.1 cells\u0026rsquo; phagocytic abilities.\u003c/p\u003e \u003cp\u003eIn our other functional assessment, we demonstrated that MMP9 production in response to E2 dosing had a greater effect on J774A.1 cells compared to RAW 264.7 cells. In RAW 264.7 cells, MMP9 levels were reduced in hormone-free media compared to basal conditions. E2 supplementation did not restore MMP9 production, regardless of dose (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003eB). In contrast, J774A.1 cells exhibited a dose-dependent response to E2, with significant increases in MMP9 production at both low (5 nM) and high (100 nM) E2 concentrations, but a notable decrease at the intermediate dose (25 nM) (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003eB). However, the intermediate dose was still significantly higher compared to hormone free and basal media conditions. These divergent responses suggest potential estradiol and sex-based differences in ECM remodeling capacity.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec15\" class=\"Section2\"\u003e \u003ch2\u003eE2 Pre-treatment of RAW264.7 and J774A.1 Macrophages Impacts Inflammatory Phenotype Skewing\u003c/h2\u003e \u003cp\u003eFollowing E2 pre-treatment both cell lines were polarized toward pro-inflammatory (+\u0026thinsp;LPS\u0026thinsp;+\u0026thinsp;IFNγ) or pro-regenerative (+\u0026thinsp;IL-4) phenotypes and evaluated for proliferation, morphology, gene expression, iNOS, and MMP9 production. Morphological data suggests a trending increase in cellular aspect ratio in response to E2 pre-treatment for +\u0026thinsp;LPS\u0026thinsp;+\u0026thinsp;IFNγ skewed RAW 264.7 and J774A.1 macrophages (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003eA-B, \u003cb\u003eSupplement 2\u003c/b\u003e). Inflammatory RAW 264.7 macrophages demonstrated a statistically significant increase in aspect ratio at an intermediate E2 dosage (25 nM) (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003eA-B). Both RAW 264.7 and J774A.1 cells exhibited similar proliferation trends with Ki67 marker expression significantly increasing in a hormone free environment upon differentiation into the +\u0026thinsp;LPS\u0026thinsp;+\u0026thinsp;IFNγ inflammatory macrophage phenotype (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003eC-D).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eGene expression of canonical inflammatory marker \u003cem\u003eiNOS\u003c/em\u003e had a trending upregulation in +\u0026thinsp;LPS\u0026thinsp;+\u0026thinsp;IFNγ RAW 264.7 and significant down-regulation in +\u0026thinsp;LPS\u0026thinsp;+\u0026thinsp;IFNγ J774A.1 in an E2 dose-dependent manner (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003eA). On the other hand, \u003cem\u003eArg-1\u003c/em\u003e expression (canonical pro-regenerative marker) was significantly decreased for +\u0026thinsp;LPS\u0026thinsp;+\u0026thinsp;IFNγ RAW 264.7 and had a trending increase in +\u0026thinsp;LPS\u0026thinsp;+\u0026thinsp;IFNγ J774A.1 in the presence of E2 (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003eA). There was no \u003cem\u003eArg-1\u003c/em\u003e expression for +\u0026thinsp;LPS\u0026thinsp;+\u0026thinsp;IFNγ J774A.1 in hormone free conditions. Both +\u0026thinsp;IL-4 RAW 264.7 and +\u0026thinsp;IL-4 J774A.1 macrophages exhibited decreasing expressions of \u003cem\u003eArg-1\u003c/em\u003e with increasing E2 pre-treatment (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003eB). Cycle threshold (CT) values of \u003cem\u003eiNOS\u003c/em\u003e for +\u0026thinsp;IL-4 and M\u0026Oslash; macrophages were \u0026gt;/= 35 or undetermined (\u003cb\u003eTable Supplement 1\u003c/b\u003e). CT values for \u003cem\u003eArg-1\u003c/em\u003e in M\u0026Oslash; macrophages were also \u0026gt;/= 35 or undetermined (\u003cb\u003eTable Supplement 2\u003c/b\u003e).\u003c/p\u003e \u003cp\u003eWe quantified iNOS and MMP9 activity using ELISA and zymography, respectively. iNOS protein production in +\u0026thinsp;LPS\u0026thinsp;+\u0026thinsp;IFNγ RAW 264.7s demonstrated a significant decrease (p\u0026thinsp;\u0026lt;\u0026thinsp;.05) in hormone free, 5 nM E2, 25 nM E2 conditions compared to basal media conditions (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003eC). At 100 nM E2, iNOS was restored to levels that were not significantly (p\u0026thinsp;=\u0026thinsp;.1040) different from the hormone-free condition (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003eC). Production of iNOS by +\u0026thinsp;LPS\u0026thinsp;+\u0026thinsp;IFNγ J774A.1 was below the assay\u0026rsquo;s detection limit for all conditions. +IL-4 J774A.1 demonstrated a significant (p\u0026thinsp;\u0026lt;\u0026thinsp;.05,.01) decrease in MMP9 production at 100 nM E2 relative to all other condition groups (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003eD). +IL-4 RAW 264.7 macrophages had no significant differences in MMP9 production across different treatment groups (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003eD).\u003c/p\u003e \u003cp\u003eThese data suggest that E2 treatment impacts macrophage phenotypic function in a sex-based manner.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003e \u003cb\u003eSex-Matched Media Environments Critically Influence Macrophage Proliferation, Inducible Nitric Oxide Synthase, and MMP9 Production in a 3D Tissue Mimetic Hydrogel\u003c/b\u003e \u003c/p\u003e \u003cp\u003eRAW 264.7 and J774A.1 macrophages were encapsulated in a tissue-mimetic hydrogel platform and exposed to sex-matched/sex-mismatched environments. Encapsulated cells were evaluated in terms of proliferative capacity, MMP9, and iNOS production. RAW 264.7 macrophages exhibited no significant differences in Ki67 expression across groups (Fig.\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e6\u003c/span\u003eA). J774A.1 cells displayed a 30\u0026ndash;40% decrease in Ki67 expression in a sex mis-matched environment compared to sex-matched and basal media conditions (Fig.\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e6\u003c/span\u003eB). Additionally, MMP9 production was elevated in male-derived macrophages exposed to sex-mismatched female-derived-conditioned media, despite baseline MMP9 levels in the conditioned media itself showing no significant difference between sexes (\u003cb\u003eSupplement 3\u003c/b\u003e). These findings suggest that sex-specific cell-secretome interactions may play a critical role in regulating macrophage proliferation and ECM remodeling capacity.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e"},{"header":"Discussion","content":"\u003cp\u003eIncorporating sex-accurate environments and sex-relevant cells in disease modeling, therapeutic assessments, and diagnostic development is essential for achieving clinically translatable technologies. However, sex is often overlooked as a variable in preclinical experimental design, significantly affecting downstream workflows. This oversight can lead to costly delays and inefficiencies, in terms of safety, time, and resources. With this in mind, we investigated the influence of sex on immune cell function and found that it significantly affects macrophage responsiveness to E2 and to sex-specific secretome environments. As key regulators of inflammation and tissue repair throughout the body, macrophages are a crucial cell type in immunological studies. Herein, we sought to thoroughly characterize the different sex-based effects on RAW 264.7 (male-derived) and J774A.1 (female-derived) cell lines in estrogen receptor (ER) expression, proliferative, functional, and phenotypic capabilities.\u003c/p\u003e \u003cp\u003eIn this study, there were differential expressions between the gene and protein levels for ERs. We observed that upregulation of gene \u003cem\u003eEsr1\u003c/em\u003e coincided with lower expression of ERα, whereas downregulation coincided with increased ERα expression. Particularly, J774A.1 (female) macrophages had a substantially higher relative expression of ERα protein, but significantly downregulated \u003cem\u003eEsr1\u003c/em\u003e at a high 17β-estradiol (E2) dose. This data suggests that within these cell types, ERα regulation has an antagonistic effect on \u003cem\u003eEsr1\u003c/em\u003e expression. This aligns with literature that has discussed that increasing ERα binding activity has a transcriptional repressive effect similar to that of tamoxifen \u0026ndash; a well-defined ER antagonist.(\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e) Interestingly, RAW 264.7 ERα protein expression in general maintains relatively low signal across all treatment groups. In macrophages specifically, heightened ERα expression has been linked to intensified inflammatory responses.(\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e) Consequent divergent behaviors (especially regarding inflammatory pathways) between RAW 264.7 and J774A.1 macrophages in response to ERα ligand, E2, can therefore, in part, be attributed to differences in gene and proteomic ER expression.\u003c/p\u003e \u003cp\u003eIn this work, phagocytic capabilities appeared to be both hormone- and sex-dependent. This aligns with previous data suggesting that E2 treatments may aid RAW 264.7 phagocytosis.(\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e) The effects on J774A.1 cells also align with previous studies displaying decreased tumoricidal phagocytosis in the presence of E2.(\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e) Previous studies have reported an inhibition of J774A.1 cell phagocytosis in an E2 dose-dependent manner. On a broader perspective, E2-decreased phagocytic ability in female-derived macrophages (J774A.1) could lead to more pathogens and debris in the body, in turn causing persistent bodily inflammation in response to these materials.(\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e) This may play a role in a higher prevalence of certain chronic diseases in women, a result of naturally higher circulating and fluctuating levels of E2 in women compared to men.(\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e)\u003c/p\u003e \u003cp\u003eE2 and sex-based factors may also influence macrophage-mediated remodeling of the ECM. In this study, E2 supplementation elevated MMP9 production in J774A.1 cells compared to both basal and hormone-free conditions. MMPs are key biomarkers of macrophage-mediated remodeling of the extracellular environment. Among them, MMP9 is particularly important, as its dysregulated expression is implicated in both physiological and pathological remodeling processes.(\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e) Overexpression of MMP9 has been linked to increased inflammation, fibrosis, and cardiovascular complications.(\u003cspan additionalcitationids=\"CR29\" citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e) These findings, therefore, may contribute to a broader understanding of the mechanistic basis for sex-based differences observed in cardiovascular disease.\u003c/p\u003e \u003cp\u003eMacrophage phenotype skewing is critical for macrophage niche fulfillments at given tissue sites. We therefore wanted to characterize the effects of E2 and sex on macrophage phenotypic skewing. By analyzing proliferative and morphological outcomes, we established baseline characterizations of sex-specific, phenotypically skewed macrophage cell lines following E2 pre-treatment. Geometric descriptors of cell shape, such as aspect ratio, provide insight into cell elongation, division mechanics, gene expression, signaling pathways, and adhesion properties.(\u003cspan additionalcitationids=\"CR32\" citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e) Our aspect ratio analysis indicates that higher levels of E2 priming promote a more elongated morphology in macrophages skewed toward an inflammatory phenotype, suggesting a shift toward a more active and adherent state. These morphological changes are consistent with increased Ki67 expression, indicating enhanced proliferative capacity following inflammatory stimulation. Furthermore, elevated E2 levels correlated with increased expression of the pro-inflammatory marker \u003cem\u003eiNOS\u003c/em\u003e and decreased expression of the pro-regenerative marker \u003cem\u003eArg-1\u003c/em\u003e in both cell lines, supporting the observed phenotypic trends.(\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e)\u003c/p\u003e \u003cp\u003eAn imbalance between pro-inflammatory and pro-regenerative macrophage cell types is a common feature of many pathological conditions. For example, during wound healing, the initial acute inflammatory response is driven by the infiltration and differentiation of inflammatory macrophages. However, if this response fails to resolve, it can lead to chronic inflammation. Fluctuation in circulating E2 (such as across the menstrual cycle) has been attributed to exacerbated inflammatory symptoms in certain pathologies.(\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e, \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e) Hormonal increases specifically have been implicated in the exacerbation and even the onset of certain chronic inflammatory states. For instance, in autoimmune rheumatic diseases (i.e. systemic lupus erythematosus) individuals are advised against hormone replacement therapies for E2 as this can exacerbate their autoimmune symptoms.(\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e)\u003c/p\u003e \u003cp\u003eAdditional observations from the phenotypic enzymatic analysis supports a broader mechanistic role for sex- and hormone-based factors in driving a greater pro-inflammatory phenotype and a dysregulated pro-regenerative macrophage response. Pro-inflammatory phenotypic capacity at the proteomic level was greater for male-derived murine macrophages relative to female-derived murine macrophages. iNOS production was at a detectable level for pro-inflammatory RAW 264.7 and increased with an increasing E2 presence, whereas iNOS production was undetectable in pro-inflammatory J774A.1 macrophages. This aligns with \u003cem\u003eiNOS\u003c/em\u003e gene expression, which was downregulated relative to the calibrator in J774A.1 cells, but upregulated above the calibrator in RAW 264.7. These findings may help explain why, despite being less prevalent in males, certain autoimmune and cardiovascular diseases present with greater clinical severity in males compared to females.(\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e, \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e) Additionally, this may evidence that female cell types may exhibit some protective or resistant responses to inflammatory processes in the presence of changing E2 levels. In this study, +IL-4 J774A.1 macrophages demonstrated impaired \u003cem\u003eArg-1\u003c/em\u003e expression and MMP9 production at higher E2 dosing. This pattern may indicate a dysfunctional pro-regenerative phenotype. Impaired pro-regenerative macrophages, particularly those unable to effectively remodel the ECM, have been hypothesized to contribute to the initiation of autoimmune and chronic inflammatory conditions.(\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e, \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e) This is likely due to their failure to clear cellular debris, which can promote autoantibody formation. These maladaptive immune responses appear to be influenced by both hormonal fluctuations and sex-based differences in estrogen signaling.\u003c/p\u003e \u003cp\u003eOur 3D culture studies revealed a significant reduction in proliferation when female-derived macrophages were exposed to a male-derived secretome, indicating that female-derived macrophage proliferation in 3D environments is critically dependent on sex-matched extracellular cues. In contrast, soluble factor analysis showed increased MMP9 expression in RAW 264.7 macrophages exposed to a sex-mismatched environment compared to sex-matched conditions. These findings suggest that sex-mismatched conditions elicit divergent behavioral outcomes in male versus female-derived macrophages. Specifically, female-derived macrophages appear more sensitive to changes in proliferation, while male-derived macrophages demonstrate altered enzymatic activity (particularly through matrix remodeling enzymes like MMP9) when placed in a sex-mismatched context. This demonstrates that not only the sex of the cell is important, but the sex influence of the surrounding environment is also critical.\u003c/p\u003e \u003cp\u003eSeveral limitations of this study are acknowledged. Due to their consistency and availability, murine cell lines were utilized; however, future studies should incorporate primary and human-derived cells to enhance physiological relevance. Additionally, the macrophages used in this work originate from tumor-derived lines, which may not fully represent tissue-resident or peripheral blood mononuclear cell (PBMC)-derived macrophages. Future studies could include macrophage populations and subtypes from different tissue contexts which would offer deeper insight into how sex-based factors influence innate immune responses. While this study primarily focused on E2, it is also critical to examine the roles of other gonadal hormones, such as testosterone and progesterone, in modulating immune cell function. It is worth noting that E2 dosages utilized, although common throughout similar studies (\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e, \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e) are supraphysiological. However, they are necessary to overcome experimental \u003cem\u003ein vitro\u003c/em\u003e issues with estradiol cellular uptake (\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e), and overcome rapid metabolic degradation.(\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e) These concentrations also provide insight into non-homeostatic states, which are imperative when studying immunological dysregulations. This higher dosing approach also enables the observation of functional differences within an acute timeframe. Clinically, short-term hormone exposure has been shown to detectably skew long-term, hormone-based immunological programming in individuals undergoing gender-affirming hormone therapy.(\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e) Lastly, although hormone-stripping methods effectively isolate the effects of E2, they may also deplete other media components, which could influence experimental outcomes. Nonetheless, this approach strengthens the attribution of observed effects specifically to E2.\u003c/p\u003e \u003cdiv id=\"Sec17\" class=\"Section2\"\u003e \u003ch2\u003ePerspectives and Significance\u003c/h2\u003e \u003cp\u003eOur findings underscore the importance of considering sex when utilizing macrophages for \u003cem\u003ein vitro\u003c/em\u003e studies. Although RAW 264.7 (male-derived) and J774A.1 (female-derived) cell lines are widely used in immunological research, their sex-specific responses remain poorly characterized. Here, we demonstrate that these two differently sexed cell lines present divergent proliferative behavior, phenotypic differentiation, and functional responses to E2 (Fig.\u0026nbsp;\u003cspan refid=\"Fig7\" class=\"InternalRef\"\u003e7\u003c/span\u003e). We also demonstrated that sex matching the culture environment is critically important in viability and proteomic outcomes in our physiologically relevant 3D platform (Fig.\u0026nbsp;\u003cspan refid=\"Fig7\" class=\"InternalRef\"\u003e7\u003c/span\u003e). Overall, we implicated the influence of sex-based factors and hormonal environments in inflammatory biological biases. These differences highlight the necessity of creating sex-informed cell line selections and conditions to investigate immunological outcomes, particularly in hormone-responsive systems.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e"},{"header":"Conclusions","content":"\u003cp\u003eThis study provides clear evidence that sex-based differences and estrogen signaling critically shape macrophage behavior, from receptor expression to functional outcomes like phagocytosis, matrix remodeling, and inflammatory polarization. By characterizing the distinct responses of male- (RAW 264.7) and female-derived (J774A.1) macrophages to E2 and sex-matched or mismatched environments, we show that both the intrinsic sex of the cell and the surrounding extracellular context are fundamental drivers of hormone response and immune function. These findings reinforce the necessity of incorporating sex-accurate models into preclinical research workflows. Failure to do so may obscure key biological responses, contributing to translational inefficiencies and clinical blind spots\u0026mdash;especially in inflammatory and hormone-responsive diseases. This work serves as a call to action for the integration of sex-informed design in \u003cem\u003ein vitro\u003c/em\u003e systems, offering a foundational step toward more predictive, equitable, and effective diagnostic/modeling/therapeutic development.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eFunding Declaration\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis work was supported by the National Institute of Health/National Institute of General Medical Sciences. R35GM147048 (E.M.) and the Lupus Research Alliance AWD12855, # 899151 (A.M.V.).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgments\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe would also like to express our gratitude to Paul Parodi for stream-lining aspect ratio analysis and Rohey Colley for polymer synthesis and hydrogel encapsulation. All figures were made using Biorender and statistical analysis were conducted using Graphpad Prism 10.1.1. Anti-sexism statement: This manuscript cannot and should not be used to make any sexist claims regarding immunological functional superiority or inferiority.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor contributions:\u003c/strong\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eA.M.V.- Conceptualization, experimental design, formal analysis, methodology, figure preparation, writing\u0026ndash;original draft preparation, writing review and editing. Z.T. - Zymography execution, analysis and writing methodology. N.O.B. Hydrogel imaging, analysis, and writing methodology. V.D.- Maintaining cell cultures and writing-original draft. E.M. - methodology, experimental design, supervision, visualization, writing\u0026ndash; original draft supervision and modification, writing-review and editing. M.M.- methodology design and review, supervision, writing-review and editing. All authors reviewed the manuscript.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests:\u003c/strong\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe authors have no relevant financial or non-financial interest to disclose.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent to Publish:\u003c/strong\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData and materials availability:\u003c/strong\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAll data are available upon request.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics Declaration\u003c/strong\u003e:\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eBorelli AN, Masters KS. Developing sex-accurate cell culture environments. 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Available from: \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://www.nature.com/articles/s41586-024-07789-z\u003c/span\u003e\u003cspan address=\"https://www.nature.com/articles/s41586-024-07789-z\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"biology-of-sex-differences","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"bosd","sideBox":"Learn more about [Biology of Sex Differences](http://bsd.biomedcentral.com)","snPcode":"13293","submissionUrl":"https://submission.nature.com/new-submission/13293/3","title":"Biology of Sex Differences","twitterHandle":"@BiologySexDiff","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"immunology, macrophage function, gonadal hormones, estrogen","lastPublishedDoi":"10.21203/rs.3.rs-6925474/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6925474/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e \u003cp\u003eRAW 264.7 (male-derived) and J774A.1 (female-derived), are widely used in immunology research, yet their responses to gonadal hormones remain poorly understood. Gonadal hormones, particularly estrogen, shape immune cell function and contribute to sex differences in disease outcomes, with macrophages playing a central role through their expression of intracellular estrogen receptors (ERs). Herein, we investigated ER expression and functional responses to 17β-estradiol (E2) in male-derived RAW 264.7 and female-derived J774A.1 macrophages, in 2D culture. Additionally we looked at sex-matched and mismatched media conditions in a 3D hydrogel system. Our results reveal distinct phenotypic and functional differences between the cell lines, emphasizing the need for sex-aware approaches in immunological research and model design.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e \u003cp\u003eRAW 264.7 and J774A.1 macrophages were cultured in basal media for 24 hours, then treated with varying concentrations of 17β-estradiol (5, 25, 100 nM), as well as hormone-free and control media. Post-treatment analyses included viability, estrogen receptor expression, phenotype skewing, matrix metalloprotease 9 (MMP9) levels, and phagocytosis. These macrophages were also used to condition sex-specific media environments and were encapsulated in a hydrogel network containing adhesive and cleavable sites. Encapsulated cells were then exposed to sex-matched or sex-mismatched conditioned media, and proliferation and MMP9 production were assessed.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003eOur results revealed distinct differences in estrogen receptor gene and protein expression, as well as in core macrophage functions such as proliferation, inflammation, matrix remodeling, and phenotype skewing. Additionally, the sex-derivation of the surrounding molecular environment affected macrophage behavior in a 3D hydrogel system. Female-derived macrophages were more sensitive in terms of proliferation to sex-mismatched environments, while male-derived macrophages exhibited altered enzyme activity when exposed to female-conditioned media.\u003c/p\u003e\u003ch2\u003eConclusions\u003c/h2\u003e \u003cp\u003eThese findings underscore the importance of accounting for both the origin of immune cells as well as the hormonal and environmental context in which they are studied. Without these considerations, experimental models risk missing critical biological differences that shape immune responses and disease outcomes.\u003c/p\u003e","manuscriptTitle":"Cell Line-Specific Estrogen Responses Uncover Functional Sex Differences in Murine Macrophages","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-06-30 08:14:32","doi":"10.21203/rs.3.rs-6925474/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2025-07-29T15:21:11+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-07-25T16:38:53+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-07-25T15:33:23+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-07-24T08:51:34+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"7556094581152576224783280045990911385","date":"2025-07-11T20:46:25+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-07-07T12:23:18+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"250686051311184572785459421111251211806","date":"2025-07-04T13:23:14+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"64005110730970427833670997620850941108","date":"2025-07-03T07:05:58+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"255045854583807214331010717965753108627","date":"2025-06-27T06:34:37+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-06-25T19:51:22+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-06-25T19:16:15+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-06-24T11:36:03+00:00","index":"","fulltext":""},{"type":"submitted","content":"Biology of Sex Differences","date":"2025-06-18T18:39:13+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"biology-of-sex-differences","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"bosd","sideBox":"Learn more about [Biology of Sex Differences](http://bsd.biomedcentral.com)","snPcode":"13293","submissionUrl":"https://submission.nature.com/new-submission/13293/3","title":"Biology of Sex Differences","twitterHandle":"@BiologySexDiff","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"4cd9f542-d423-434b-b114-d5f4471e6edc","owner":[],"postedDate":"June 30th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2025-10-20T15:59:46+00:00","versionOfRecord":{"articleIdentity":"rs-6925474","link":"https://doi.org/10.1186/s13293-025-00760-1","journal":{"identity":"biology-of-sex-differences","isVorOnly":false,"title":"Biology of Sex Differences"},"publishedOn":"2025-10-14 15:57:05","publishedOnDateReadable":"October 14th, 2025"},"versionCreatedAt":"2025-06-30 08:14:32","video":"","vorDoi":"10.1186/s13293-025-00760-1","vorDoiUrl":"https://doi.org/10.1186/s13293-025-00760-1","workflowStages":[]},"version":"v1","identity":"rs-6925474","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6925474","identity":"rs-6925474","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}