Monocyte phenotyping and cytokine profiling of peritoneal fluid from endometriosis patients and myoma controls

Sofia Shifon, Т. В. Тыринова, Е. Р. Черных, Tanya Veretelnikova, Aleksandra Maksimova, И. М. Ращупкин, Н. М. Пасман
2026 · doi:10.5281/zenodo.18857406 · W7133522436
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This study analyzed monocyte phenotype changes and measured 27 cytokines in peritoneal fluid from endometriosis patients compared to myoma controls.

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This study presents a dataset characterizing the immune environment in endometriosis by analyzing peritoneal fluid from patients with the condition and those with uterine myomas. Researchers incubated peripheral blood monocytes from healthy donors with these fluids to assess changes in monocyte phenotypes, specifically examining subsets defined by CD14 and CD16 expression alongside markers like MerTK and PD-1. Additionally, the team quantified 27 distinct cytokines within the peritoneal fluid using multiplex assays to establish a comprehensive inflammatory profile for both patient groups. This paper is centrally about endometriosis — specifically comparing its peritoneal immune landscape against that of uterine fibroids.

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Abstract

This dataset accompanies a study investigating the effects of peritoneal fluid from endometriosis patients on monocyte phenotype and the cytokine milieu in peritoneal fluid. It comprises two complementary datasets: (1) Flow cytometry data (Endo_monocytes.xlsx): Peripheral blood monocytes from healthy donors were incubated in vitro with peritoneal fluid from endometriosis patients (n=18, coded P02-P20), peritoneal fluid from myoma patients (coded M_P01, M_P04), or fetal bovine serum as a negative control. Three monocyte subsets were characterized based on CD14/CD16 expression: classical (CD14+CD16-), intermediate (CD14+CD16+), and non-classical (CD14-CD16+). Surface expression of MerTK, PD-1, PD-L1, and CCR2 was assessed for each subset (percentage positive and mean fluorescence intensity). Data span 15 independent experiments (February-November 2024) with one or two monocyte donors per experiment, enabling paired comparisons. Peritoneal fluid donor ages range from 22 to 52 years. (2) Multiplex cytokine data (BioPlex_22.08_high.numbers and BIoPlex_21.08_low.numbers): Direct measurement of cytokine concentrations in peritoneal fluid using the Bio-Rad 27-Plex Human Cytokine Panel on a QuattroPlex Lab system with 5-parameter logistic regression. The 27 analytes include: Basic FGF, Eotaxin, G-CSF, GM-CSF, IFN-gamma, IL-1beta, IL-1ra, IL-2, IL-4, IL-5, IL-6, IL-7, IL-8, IL-9, IL-10, IL-12p70, IL-13, IL-15, IL-17, IP-10, MCP-1, MIP-1alpha, MIP-1beta, PDGF-BB, RANTES, TNF-alpha, and VEGF (all in pg/ml). The cohort includes 28 endometriosis patients (coded Endo_P02-P35, including cyst fluid and dilution series for selected patients) and 5 myoma controls (coded Myoma_M01-M03, Myoma_P01, Myoma_P04). Each CSV file contains raw MFI, net MFI, calculated concentrations, and averages from duplicate measurements, along with full standard curves. Two analytical runs with overlapping standard ranges ensure accurate quantification across the full dynamic range. The two datasets are linked: peritoneal fluid from endometriosis and myoma patients was both (a) used to stimulate donor monocytes in vitro (flow cytometry dataset) and (b) directly profiled for cytokine content (multiplex dataset). Patient identifiers are consistent across all files. Patients P01 and P04 appear in the flow cytometry dataset as myoma peritoneal fluid donors for monocyte incubation, and in the cytokine dataset as myoma controls. All identities are anonymized.
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Monocyte phenotyping and cytokine profiling of peritoneal fluid from endometriosis patients and myoma controls Authors/Creators Description This dataset accompanies a study investigating the effects of peritoneal fluid from endometriosis patients on monocyte phenotype and the cytokine milieu in peritoneal fluid. It comprises two complementary datasets: (1) Flow cytometry data (Endo_monocytes.xlsx): Peripheral blood monocytes from healthy donors were incubated in vitro with peritoneal fluid from endometriosis patients (n=18, coded P02-P20), peritoneal fluid from myoma patients (coded M_P01, M_P04), or fetal bovine serum as a negative control. Three monocyte subsets were characterized based on CD14/CD16 expression: classical (CD14+CD16-), intermediate (CD14+CD16+), and non-classical (CD14-CD16+). Surface expression of MerTK, PD-1, PD-L1, and CCR2 was assessed for each subset (percentage positive and mean fluorescence intensity). Data span 15 independent experiments (February-November 2024) with one or two monocyte donors per experiment, enabling paired comparisons. Peritoneal fluid donor ages range from 22 to 52 years. (2) Multiplex cytokine data (BioPlex_22.08_high.numbers and BIoPlex_21.08_low.numbers): Direct measurement of cytokine concentrations in peritoneal fluid using the Bio-Rad 27-Plex Human Cytokine Panel on a QuattroPlex Lab system with 5-parameter logistic regression. The 27 analytes include: Basic FGF, Eotaxin, G-CSF, GM-CSF, IFN-gamma, IL-1beta, IL-1ra, IL-2, IL-4, IL-5, IL-6, IL-7, IL-8, IL-9, IL-10, IL-12p70, IL-13, IL-15, IL-17, IP-10, MCP-1, MIP-1alpha, MIP-1beta, PDGF-BB, RANTES, TNF-alpha, and VEGF (all in pg/ml). The cohort includes 28 endometriosis patients (coded Endo_P02-P35, including cyst fluid and dilution series for selected patients) and 5 myoma controls (coded Myoma_M01-M03, Myoma_P01, Myoma_P04). Each CSV file contains raw MFI, net MFI, calculated concentrations, and averages from duplicate measurements, along with full standard curves. Two analytical runs with overlapping standard ranges ensure accurate quantification across the full dynamic range. The two datasets are linked: peritoneal fluid from endometriosis and myoma patients was both (a) used to stimulate donor monocytes in vitro (flow cytometry dataset) and (b) directly profiled for cytokine content (multiplex dataset). Patient identifiers are consistent across all files. Patients P01 and P04 appear in the flow cytometry dataset as myoma peritoneal fluid donors for monocyte incubation, and in the cytokine dataset as myoma controls. All identities are anonymized. Files Files (1.3 MB) | Name | Size | Download all | |---|---|---| | md5:0a21a6af4f52ea13f34c33ee8ba4a662 | 595.0 kB | Download | | md5:9f3fc405ac58f19807765072ff4299fc | 579.5 kB | Download | | md5:e909fe50ab69097e7e2eb04b277d6b50 | 97.8 kB | Download |

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