Abstract
In vivo genetic engineering of T cells could overcome the logistical, biological, and safety challenges of ex
vivo modification, but effective and safe delivery systems remain limited by a lack of cellular specificity.
Here, we developed aptamer -functionalized lipid nanoparticles (LNPs) for targeted mRNA delivery to
CD4+ T cells, employing both a validated CD4 -binding aptamer (Apt62) and novel aptamers generated
using our proprietary transformer -based AI language model, AptaBLE. LNPs formulated with ionizable
lipid SM102 or MC3 and conjugated with aptamers at controlled densities were physiochemically
characterized and assessed for binding, in vitro transfection, in vivo biodistribution, and safety evaluation.
Aptamer-functionalized LNPs demonstrated selective nanomolar binding to recombinant CD4, achieved
enhanced transfection of CD4⁺ versus CD4- T cells in vitro, and significantly enriched mRNA delivery to
immune-rich tissues in vivo, achieving up to 70-fold spleen signal enhancement with SM102 formulations
compared to non -targeted controls, while maintaining suitable safety profiles. Overall, these findings
demonstrate aptamer-functionalized LNPs, augmented by AI -guided aptamer design, as a tunable, non -
immunogenic platform for in vivo T cell engineering.
Keywords
Aptamers, AI-guided design, Immune targeting, Active targeting
Highlights:
● Aptamer-functionalized LNPs enable selective mRNA delivery to CD4⁺ immune cells rich organs.
● Aptamer-functionalized LNPs maintain a favorable systemic safety profile in vivo.
● AI-guided AptaBLE platform generated functional aptamers validated in nanoparticle delivery.
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1. Introduction:
Genetic modification of T cells has enabled transformative immunotherapies, regulating immune responses
to treat hematological malignancies, autoimmune disorders, and infectious diseases. 1–3 Among various T
cell subsets, CD4⁺ T cells play a central role in orchestrating immune responses by activating cytotoxic T
cells and optimizing their responses, enhancing B cell function, and maintaining immune homeostasis. 4
Despite their critical role, the most commonly used approach of genetically modifying T -cells ex vivo
presents significant challenges.5 T cells must first be isolated from a heterogeneous pool of peripheral blood
mononuclear cells, followed by selection of CD4⁺ or CD8⁺ subsets using antibody-based sorting techniques.
6–8 The purified cells then undergo weeks of proliferation under controlled conditions, genetic modification
via viral or non-viral vectors, and eventual reinfusion into patients. This process is not only labor-intensive
and costly but also introduces biological challenges, including heterogeneity in modified cell phenotypes,
variable survival, and loss of sustained function post -infusion.6–8 Moreover, reinjection of genetically
modified T-cells can trigger excessive cytokine release, leading to severe toxicities such as cytokine release
syndrome and immune effector cell-associated neurotoxicity syndrome.9,10 These inflammatory responses
driven by interleukin -6 (IL-6), interferon-gamma (IFN-γ), and tumor necrosis factor -alpha (TNF-α) can
Result
in systemic immune dysregulation, vascular leakage, and in severe cases, multi-organ dysfunction.11–
13 The risk associated with T-cells reinfusion, along with logistical and biological constraints of ex vivo T-
cell engineering, underscores the need for alternative strategies that enable direct in vivo genetic
programming of T cells while preserving their physiological state and function.
Lipid nanoparticles (LNPs) have emerged as a promising non -viral gene delivery platform, with their
clinical success in mRNA vaccines establishing their potential for broader therapeutic applications. 14,15
Their biocompatibility, tunable characteristics, and the ability to encapsulate and deliver mRNA make them
a viable option for gene therapy, particularly for T -cell modulation. 14,16 However, conventional LNPs
exhibit high protein expression in the liver, resulting in low expression and targeting to CD4+ T cell-rich
organs such as the spleen, bone marrow, and thymus.17 To overcome these limitations, endogenous targeting
strategies such as Selective Organ Targeting (SORT) have been developed by incorporating supplemental
lipids into LNP formulations to modify LNP surface and tune the protein corona composition to deliver
mRNA towards non -hepatic tissues. 18 While SORT enhances organ -level tropism, its ability to achieve
cellular specificity, particularly for immune cell subsets, remains limited.19 This has led to growing interest
in active targeting approaches, wherein LNPs are surface -decorated with ligands that enable receptor -
specific uptake by desired cell types. Among these, monoclonal antibodies (mAbs) have been widely
explored to direct LNPs toward immune cells. 20–22 However, mAb functionalized LNPs have several
fundamental drawbacks, including Fc-mediated immune activation, steric hindrance affecting LNP uptake,
and high manufacturing costs. 23–25 For example, It has been seen that the pharmacokinetic and
pharmacodynamic profiles of antibodies are altered when they are functionalized to nanoparticles.26 The
first administration of antibody functionalized nanoparticles shows prolonged circulation, but with repeated
dosing, immune responses are triggered that drive progressively faster clearance. 26 In contrast, the free
antibody maintains favorable pharmacokinetics and does not induce such immunogenicity.26 Peptides have
also been investigated as targeting ligands, offering smaller size and ease of synthesis, but their utility in
vivo is often limited by proteolytic degradation, relatively short circulation time, modest receptor affinity,
and peptide misfolding and aggregation.27–29
Recognizing the limitations of antibodies and peptides, there is increasing interest in alternative ligands that
combine high specificity and ease of synthesis. Aptamers, short single stranded oligonucleotides that fold
into defined three dimensional structures, satisfy these criteria.30,31 Their small size, low immunogenicity,
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and chemical stability have enabled broad use in diagnostics and biosensing, where they have already been
applied successfully. 32,33 Recent advances have extended the utility of aptamers from diagnostics into
therapeutic applications, particularly in oncology and immuno-oncology.34 RNA aptamers directed against
epidermal growth factor receptor have been shown to recognize clinically relevant mutant variants such as
L858R and T790M and to enable selective tumor targeting in non –small cell lung cancer models. 35
Nucleolin binding DNA aptamers such as AS1411 have progressed into phase I and II clinical trials, where
they demonstrated favorable safety and preliminary antitumor activity. 36 Although these studies
demonstrate that aptamers can engage to extracellular receptors with high affinity and promote cellular
uptake, the y have been under explored as targeting ligands. Thus, in this study we evaluated whether
functionalizing lipid nanoparticles with aptamers could enable selective delivery of mRNA therapeutics to
defined immune cell subsets.
Rather than immediately developing a de novo sequence, we adopted a proof -of-concept strategy using a
well-validated human CD4-binding aptamer (Apt62).37 This aptamer was originally identified by SELEX
and next-generation sequencing and has been shown to bind CD4 with nanomolar affinity, disrupt gp120–
CD4 interactions, and inhibit HIV-1 entry across multiple CD4-expressing cell lines.38 Importantly, it also
demonstrated stability in human serum, underscoring its suitability for systemic administration. Building
on this prior validation, we repurposed Apt62 as a benchmark ligand to evaluate whether aptamer-mediated
surface modification of LNPs could improve targeted mRNA delivery to CD4⁺ cells and immune -rich
tissues such as the spleen following systemic administration. Although in this study we chose to use a
previously validated aptamer, a major limitation in aptamer discovery lies in th e PCR-driven Systemic
Evaluation of Ligands by Exponential Enrichment SELEX process. 39,40 It is time -consuming, typically
requiring 1–3 months of iterative rounds, and the probability of isolating high -affinity binders is often
low.39,40 To improve discovery throughput and expand the sequence design space, we further applied
AptaBLE, a sequence-first machine learning framework trained on diverse aptamer protein datasets, which
can generate new CD4 binding DNA aptamers within weeks.41 These computationally designed candidates
were then evaluated alongside Apt62 for their capacity to drive CD4-selective binding and mRNA delivery.
Materials
Ionizable lipids SM-102 (Cat. No. BP-25499) and MC3 (Cat. No. BP-25497), DSPC (Cat. No. BP-25623)
were purchased from Broad Pharm (San Diego, CA). Cholesterol (Cat. No. 700100) and PEGylated lipid
(PEG2000-DMG, Cat. No. 880151) were obtained from Avanti Polar Lipids ( Alabaster, AL). DSPE -
PEG2000-Maleimide (Cat. No. 2049) was obtained from Nanosoft Polymers (Winston-Salem, NC). GFP-
encoding mRNA (Cat. No. RP-A00009) and firefly luciferase (fLuc) mRNA (Cat. No. RP -A00023) were
purchased from GenScript ( Piscataway, NJ). All aptamers and molecular beacons were synthesized and
purchased from Integrated DNA Technologies (Morrisville, NC). Tris(2-carboxyethyl) phosphine (TCEP-
HCL) was purchased from Gold Biotechnology ( Olivette, MO) and N-Succinimidyl-S-acetylthioacetate
(SATA, Cat. No. A508892) was purchased from Ambeed (Buffalo grove, IL).
SUPT-1 (CD4+) and HSB-2 (CD4-) human cell lines, Roswell Park Memorial Institute medium (RPMI -
1640), and Iscove's Modified Dulbecco's Medium (IMDM) culture media were obtained from the American
Type Culture Collection (Virginia, USA). Fetal Bovine Serum (FBS), the LIVE/DEAD™ Fixable Far Red
Dead Cell Stain Kit, anti-human CD3-FITC monoclonal antibody, Human CD4 monoclonal antibody (Cat.
No. 69-0049-42), mouse CD4 monoclonal antibody (Cat. No. 14 -0042-82), d-Luciferin, and Antibiotic -
Antimycotic were purch ased from ThermoFisher Scientific ( Waltham, MA). The CellTiter -Glo®
Luminescent Cell Viability Assay was obtained from Promega (Madison, WI). Female C57BL/6 mice, aged
6 to 8 weeks, were obtained from Charles River Laboratories (Wilmington, MA) for in vivo experiments.
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ELISA kits for the quantification of IL-6, TNF-α, and alanine aminotransferase (ALT) were purchased from
Abcam. Ethanol, Phosphate buffer saline (PBS, 20X), Tris-EDTA buffer (TE, 20X), HEPES buffer (1M),
NaCl, MgCl2, were purchased from VWR (Radnor, PA).
2. Methods:
3.1 Synthesis of Non-targeting Lipid Nanoparticles (LNPs):
mRNA-encapsulated lipid nanoparticles were formulated using a previously published method with slight
modifications.22,42 Briefly, the ethanol phase was prepared by combining ionizable lipid (SM102 or MC3),
DSPC, cholesterol, DMG-PEG2000, and DSPE-PEG2000-MAL in 50:10:38.5:1.2:0.3 molar ratio and the
aqueous phase mRNA (N/P= 10) in citrate buffer (5 mM, pH 4.0). LNPs were fo rmed by mixing an
ethanolic lipid solution with an aqueous mRNA solution using a microfluidic device (Pump 33 DDS,
Harvard Apparatus, MA) at a 1:3 ratio, followed by dilution in citrate buffer (5 mM, pH 4.0). The
formulation was then dialyzed against 1× PB S (pH 7.5) to remove ethanol and confirm buffer exchange.
Post-dialysis LNPs were concentrated via centrifugation at 1000 × g using 100 kDa Vivaspin filters
(Sartorius, Germany) prior to aptamer conjugation.
3.2 Synthesis of Aptamer-Conjugated LNPs:
Aptamer conjugation to lipid nanoparticles (LNPs) was performed via thiol –maleimide chemistry. Thiol-
modified aptamers in aptamer folding buffer (50 mM HEPES, 5 mM MgCl₂, 150 mM NaCl, pH 7.4) were
folded using a heat -annealing protocol consisting of heating to 95 °C, rapid cooling to 4 °C, and gradual
heating to 25 °C. Disulfide bonds on the folded aptamers were reduced using reducing agent tris(2 -
carboxyethyl) phosphine (TCEP) at a 1:10 molar ratio of aptamer to TCEP. Unreacted aptamers were
purified by dilution in 1× PBS (pH 7.5) followed by centrifugation, as described previously. The aptamer-
to-LNP ratio was predetermined based on experimental objectives, with theoretical values of 25, 75, and
100 aptamers per LNP, reported at the end of the aptamer LNP (e.g., SM102-Apt62:75). The sequences of
the aptamers used for conjugation are provided in Table S1 of the Supporting Information.
3.3 Synthesis of Antibody- Conjugated LNPs
Antibody conjugation to LNPs was performed using SATA modification followed by thiol –maleimide
chemistry.22 Briefly, antibodies were modified with N-succinimidyl S-acetylthioacetate (SATA) at a 1:10
antibody-to-SATA molar ratio in 1× PBS buffer (pH 7.5) and incubated it 45 minutes to introduce protected
sulfhydryl groups. Deprotection was carried out using hydr oxylamine buffer (0.5 M hydroxylamine, 25
mM EDTA in 1× PBS, pH 7.5) by adding 1 volume of hydroxylamine buffer to every 10 volumes of
antibody solution and incubating for 2 hours, thereby exposing free thiols. Excess reagents were removed
using spin desalting columns (Cat. No. 89882, ThermoFisher Scientific, USA). The resulting sulfhydryl -
functionalized antibodies were conjugated to maleimide groups on the LNP surface through thioether
linkage. Final purification of antibody-conjugated LNPs was performed either by centrifugation at 1000 ×
g using 300 kDa Vivaspin centrifugal filters (Sartorius, Germany) or by size -exclusion chromatography
using Sepharose CL-4B gel filtration columns (G-Biosciences, USA).
3.4 Physicochemical characterization of LNPs :
LNPs were then analyzed using dynamic light scattering (DLS) performed on a Zetasizer Nano (Malvern
Instruments, Malvern, UK) to determine their diameter (z -average), polydispersity index (PDI), and zeta
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potential. The mRNA concentration and encapsulation efficiency of the LNPs were measured using Quant-
iT RiboGreen RNA assay (Cat. No. R11491, ThermoFisher Scientific, USA). Aptamer density on LNP was
measured using an in-house developed molecular beacon method.
Briefly, a molecular beacon complementary to a unique ~12 -nucleotide loop region of the aptamer was
designed, incorporating a 5′-fluorescein (FAM) fluorophore and a 3′-Black Hole Quencher 2 (BHQ2). The
beacon was synthesized and HPLC -purified (Integrated D NA Technologies, USA) before use in the
following assay. Serial dilutions of aptamer (0 –800 nM) and molecular beacon (1 µM) were prepared in
aptamer folding buffer (50 mM HEPES, 5 mM MgCl₂, 150 mM NaCl, pH 7.4). Aptamer or aptamer–LNP
samples (14 µL) were mixed with molecular beacon solution (14 µL) and Triton X -100 (3 µL, 0.5%) in a
clear PCR 96 -well plate. Fluorescence was measured using a qPCR instrument (QuantStudio3, Applied
Biosystems by ThermoFisher Scientific, USA) under kinetic mode with a thermal profile of 90 °C
(denaturation) to 30 °C (cooling) at 1.6 °C/s. Aptamer density on LNPs was determined from a calibration
curve generated with free aptamer standards.
Antibody conjugation to LNP was confirmed using a fluorescence -labeled antibody (Human CD4
Monoclonal Antibody (RPA-T4) eFluor 506, Thermo Fisher Scientific, Cat No.69-0049-42).
3.5 Biolayer interferometry (BLI)
BLI was used for the kinetic characterization of Apt62 and its MC3 -based lipid nanoparticle (LNP)
formulations using a Gator Bio® Prime 8-channel instrument (Gator Bio, Palo Alto, CA). All assays were
performed at 30 °C in 96-well BLI 96-Flat Black Plates, with samples prepared in assay buffer containing
50 mM HEPES, 150 mM NaCl, and 5 mM MgCl₂ (pH 7.4). For kinetic analysis of free Apt62, anti-VHH
biosensors were used to immobilize anti -human CD4 nanobodies (sequence:
EVQLVESGGGLVQPGGSLRLSCAASGFTFSKLAMSWHREPPGKGREWLADIDSSGDTTDYLASV
KGRFTISRDNAKNTLYLQMDSLKSEDTGVYYCASREDPPGYWGQGTQVTVSS; expressed and
purified by Bon Opus Biosciences, LLC) at 50 µg/mL for 180 seconds, followed by capture of 6x -His-
tagged recombinant human CD4 (rCD4; Sino Biological, Inc.) at 3 µg/mL for 180 seconds. This
immobilization strategy was employed to avoid steric hindrance arising from the proximity of the Aptamer
62-binding epitope to the 6xHis tag on CD4, which interfered with direct binding when CD4 was
immobilized via the His tag. Indirect immobilization via the nanobody allowed for a more ideal orientation
of the target protein and accurate kinetic assessment. Aptamer 62 was then tested at concentrations of
20,000, 10,000, 5000, 2500, 1250, and 625 nM, with association and dissocia tion phases of 900 seconds
each.
For kinetic analysis of MC3 -based LNPs surface modified with Apt62, anti-His biosensors were used to
immobilize 6x -His-tagged rCD4 (3 µg/mL) for 180 seconds, followed by exposure to aptamer -
functionalized LNPs at aptamer-equivalent concentrations of 364, 182, 91, 45.5, 23, and 11 nM, with 600
seconds for both association and dissociation. Kinetic analysis of Aptamer 62 -immobilized MC3-based
LNPs was possible because of avidity effects; LNPs bearing ~20 to >100 Aptamer 62 ligands were able to
interact strongly with the cognate epitopes on 6xHis-hCD4 in aggregate despite the aforementioned steric
hindrances that abrogate the observation of 1:1 Aptamer 62-6xHis hCD4 binding kinetics. All samples were
run in column format, and data were acquired using GatorOne s oftware. Reference sensor signals (assay
buffer only) were subtracted, and the resulting curves were processed using Savitzky -Golay filtering and
fitted globally using a 1:1 Langmuir binding model to determine kinetic parameters.
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3.6 Cell Culture:
SupT-1 and HSB -2 cell lines were cultured in RPMI 1640 and IBSS culture media, respectively, each
supplemented with 10% FBS and 1% antimycotic -antibiotic. The culturing procedures were performed
according to the standard protocol provided by the manufactur er. Cells were cultured in T -75 flasks
maintained at 37°C in a humidified atmosphere with 5% CO₂. The cells were passaged when a flask was
80% confluent and were discarded after 15 passages to avoid senescence-related alterations.
3.7 LNP Cytotoxicity in vitro:
Cytotoxicity of the formulated LNPs was assessed using the CellTiter -Glo assay following the
manufacturer’s instructions with slight modifications. Briefly, 100,000 cells were seeded in 96-well plates
and incubated overnight at 37 °C in a humidified atmosp here containing 5% CO₂. The next day, LNP
formulations were added at doses ranging from 600 ng to 75 ng per well, and cells were incubated for 24
hours under the same conditions. Following incubation, 100 µL of CellTiter-Glo reagent was added to each
well, mixed for 2 minutes on an orbital shaker, and then incubated for an additional 10 minutes to allow
stabilization of luminescence signals. Luminescence was recorded to determine cellular ATP levels, and
cell viability was calculated as the percentage of ATP relative to untreated control wells.
3.8 In Vitro Transfection of CD4+ and CD4- T cells:
LNPs encapsulating enhanced green fluorescent protein (eGFP) mRNA were evaluated for transfection
efficiency in SUPT-1 and HSB-2 cell lines at a standardized dose of 500 ng per 100,000 cells. To minimize
adsorptive losses of mRNA LNPs, ssDNA was pre -coated onto the wells of a 96 -well plate prior to LNP
addition. The prepared LNP formulations were subsequently introduced into the same wells at the specified
dose and incubated for 24 hours at 37°C in a humidified atmosphere with 5% CO₂. Following incubation,
cells were harvested into microcentrifuge tubes and washed with HBSS to remove residual culture media
and non -internalized LNPs. After washing, the cells were resuspended in HBSS, and the fluorescence
intensity, indicative of eGFP expression, was quantified using a fluorescence plate reader.
For the formulation yielding the highest transfection, flow cytometry was performed to quantify both the
percentage of transfected cells and the intensity of eGFP expression in SUPT -1 and HSB -2 cells. LNPs
surface modified with a non -targeting dT (PolyT) aptamer were included as a negative control. After
24 hours of incubation, cells were collected, washed with HBSS, and stained with a fixable Live/Dead
viability dye and anti-CD3 antibody to confirm T cell identity. Samples were analyzed by flow cytometry,
and live CD3⁺ cells were gated for eGFP fluorescence. Data were plotted as count versus eGFP intensity
on a logarithmic scale, enabling simultaneous evaluation of the percentage of eGFP -positive cells and the
distribution of expression levels within each population.
Additionally, the newly designed aptamer sequences generated through the AptaBLE platform were
evaluated using the same transfection workflow.
3.9 In vivo biodistribution:
All animal procedures were approved by the North Carolina State University Institutional Animal Care and
Use Committee and conducted in accordance with established ethical guidelines. Female C57BL/6 mice,
aged 6 to 8 weeks, were maintained on a 12 -hour light and dark cycle with free access to food and water.
Various formulations of LNPs encapsulating firefly luciferase mRNA were administered intravenously via
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tail vein injection at a dose of 0.5 mg/kg. Six hours after injection, D -Luciferin was administered
intraperitoneally at a concentration of 150mg/kg and allowed to circulate for 10 minutes to enable substrate
interaction with the expressed luciferase. Mice were then euthanized, and major organs, including lungs,
heart, liver, spleen, kidneys, intestines, femur, and tibia were harvested. Organs were imaged using an IVIS
system to detect bioluminescence. Luminescence intensity was quantified for each organ an d normalized
to signal from saline-treated control animals to evaluate the biodistribution of the LNP formulations.
3.10 In vivo safety
The toxicity of LNP formulations was assessed by comparing spleen -to-body weight and liver -to-body
weight ratios with those of saline -treated control animals. In addition, serum levels of pro -inflammatory
cytokines IL-6 and TNF -alpha, as well as the liver injury marker alanine aminotransferase (ALT), were
quantified using commercially available ELISA kits according to the manufacturers’ protocols. Briefly,
whole blood was collected and allowed to clot at room temperature for 30 minutes, followed by
centrifugation at 1200 × g for 5 minutes. The resulting serum was collected, diluted according to the assay
instructions, and used for ELISA to determine cytokine and ALT concentrations.
3.11 AptaBLE designed CD4 targeting aptamers
AptaBLE is a large language model for predicting aptamer -protein interaction.41 Using AptaBLE-MCTS,
an algorithm for iteratively exploring and evaluating the broad aptamer search space, a library of 100 40N
aptamers predicted to bind hCD4 was produced. The input hCD4 sequence was the recombinant human
CD4 (rCD4; Sino Biological, Inc) sequence. To produce a shortlist of aptamers, the secondary structures
of all 100 generated aptamers were predicted and clustered using mFold. Tertiary structure analyses of these
aptamers in complex with hCD4 was done with Chai-1. Sequences were pairwise-aligned using EMBOSS-
Needle. Multiple sequence alignments were done using Clustal Omega.
4 Results:
4.1 Controlled Surface Functionalization of Aptamers on Lipid Nanoparticles
Figure 1A illustrates the schematic process for LNP synthesis. Non-targeted lipid nanoparticles were first
generated using a microfluidic mixing device to encapsulate mRNA, followed by surface conjugation with
thiolated aptamers. The size and polydispersity index (PDI) of the resulting nanoparticles were measured
using DL S (Figure 1B). Non -targeted SM102 and MC3 LNPs had average sizes of 90 and 98 nm,
respectively. Aptamer-conjugated formulations (Apt62:25 and Apt62:100) were designed to theoretically
attach 25 and 100 aptamers per LNP. However, aptamer conjugation did not significantly alter
hydrodynamic diameter, with only a modest size increase of ~4 –12 nm. PDI values for all formulations
remained below 0.2, indicating monodisperse particle populations. Figure 1C shows the molecular beacon
hybridization assay used to quantify aptamer density on the LNP surface. Aptamer-conjugated LNPs were
hybridized with fluorescently labeled molecular beacons, generating a fluorescence signal detected via
qPCR. Representative thermal melt curves in Figure 1D show the calibration series of apt62 (0–800 nM).
The linear range was identified as 40-47 °C for quantification. Signals from SM102 Apt62:25 and SM102
Apt62:100 formulations confirmed successful aptamer incorporation and enabled quantification of ligand
density. The stronger signal observed for SM102 Apt62:100 compared to SM102 Apt62:25 indicates a
higher number of aptamers attached when more aptamers are included in the conjugation reaction. In
addition to size, PDI and aptamer density, nanoparticles were characterized for zeta poten tial, and
encapsulation efficiency. Complete physicochemical profiles for all LNP formulations used in subsequent
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studies are provided in Table S2. The average zeta potential of nontargeted LNPs was –2.7 mV, and
negatively charged aptamer attachment slightly shifted values to more negative with the values between –
3.0 and –3.8 mV, suggesting minimal effect on surface charge. Encapsulation efficiency across all
formulations are above 95%, although the encapsulation efficiency of aptamer -functionalized LNPs
appeared relatively lower due to intercalation of the RiboGreen dye into the aptamers.
In parallel with aptamer -conjugated LNPs, human CD4 (hCD4) and mouse CD4 (mCD4) antibody -
functionalized LNPs were synthesized as controls for in vitro and in vivo studies. Antibody conjugation
efficiency was first evaluated by synthesizing eFluor506 -labeled hCD4 antibodies conjugated to LNPs
during the research and development phase. The conjugation of antibodies was confirmed by quantifying
the fluorescence signal of eFluor506-labeled hCD4 antibodies bound to LNPs. Subsequent in vitro and in
vivo experiments were performed using unlabeled antibodies. Attachment of hCD4 mAb to LNPs produced
a greater size increase compared to mCD4 mAb. This difference in size may reflect variations in antibody
orientation during conjugation, which can influence the apparent hydrodynamic diameter of antibody -
functionalized particles. In comparison to antibody -conjugated LNPs, a key advantage of aptamer -
conjugated LNPs is the ability t o tune surface aptamer density while maintaining physicochemical
properties and overall integrity comparable to antibody LNPs.
4.2 Aptamer-LNP Conjugation Improves Binding Affinity for hCD4
The binding interaction between Apt62 and recombinant hCD4 was characterized using biolayer
interferometry (BLI) binding assay. As shown in Figure 1F, Apt62 exhibited concentration -dependent,
saturable binding to hCD4, consistent with a 1:1 binding model. The kinetic sensorgrams demonstrated
clear association and dissociation phases across the tested concentration range (625 to 20,000 nM), with a
calculated equilibrium dissociation constant (Kd) of 536 nM.
To evaluate whether conjugation to LNPs preserved or enhanced binding affinity, Apt62 was immobilized
on MC3-based LNPs at a density of 63 aptamers per particle and tested against recombinant hCD4. As
shown in Figure 1G, the Apt62-LNPs also demonstrated concentration-dependent binding, with markedly
stronger signals and slower dissociation relative to the free aptamer. The calculated Kd for Apt62 -LNPs
was 41.6 nM, representing an approximate 13 -fold improvement in appare nt affinity. This enhanced
binding is attributed to avidity effects arising from multivalent presentation of Apt62 on the LNP surface,
which likely enabled the aptamers to overcome steric hindrance caused by the proximity of the binding
epitope to the 6xHis tag on CD4.
4.3 Aptamer-Functionalized LNPs Demonstrate Safety in T Cells in Vitro
Before advancing to functional in vitro studies, it was essential to establish a dose range that did not
compromise cell viability. To address safety concerns of using aptamer in LNP platform, cytotoxicity was
assessed in both CD4⁺ SUPT1 cells which express the target receptor, and CD4⁻ HSB2 cells., which lack
CD4 expression. This design ensured that any potential effects of aptamer conjugation on cell survival
could be distinguished from receptor dependent uptake or differences in cell lineage. Unconjugated and
aptamer-conjugated LNPs containing either MC3 or SM102 were tested across doses from 75 to 600 ng
mRNA in LNP per 100,000 cells, using both non -targeted formulations and those functionalized with the
highest aptamer density (100 aptamers per LNP). Non-targeting LNPs, lacking aptamers, served as controls.
In all conditions, cell viability remained above 80%, indicating that neither LNP lipid composition nor
conjugated maximal aptamer display induced significant toxicity in CD4 -target positive or CD4 -target
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negative cells (Figure 2A and 2B). A working dose of 500 ng mRNA in LNP per 100,000 cells was selected
for all in vitro experiments.
4.4 Density-Dependent Aptamer Functionalization Enhances CD4+ T Cell Targeting
To evaluate the cell -type selectivity of aptamer -functionalized LNPs, enhanced green fluorescent protein
(eGFP) mRNA-loaded nanoparticles were tested in CD4⁺ SUPT -1 and CD4⁻ HSB -2 T-cell lines. LNPs
formulated with MC3-based non-targeting LNPs displayed comparable transfection efficiencies in both cell
lines, indicating no inherent selectivity (Figure 3A). Conjugation of Apt62 at a 25:1 aptamer-to-LNP ratio
significantly increased eGFP expression in SUPT -1 cells, while HSB -2 levels remained unchanged,
indicating selective uptake. Increasing the aptamer density to a 100:1 ratio further enhanced SUPT -1
transfection, confirming a density-dependent effect of the aptamer.
In contrast, SM102 LNPs exhibited elevated baseline transfection in CD4 + SUPT-1 cells even in the
absence of targeting ligands, suggesting that the lipid composition itself may contribute to preferential
uptake (Figure 3A). Apt62 conjugation further improved CD4 + SUPT-1 targeting in a dose -dependent
manner, with the 25:1 and 100:1 formulation showing progressively increased eGFP expression in CD4 +
SUPT-1 cells relative to CD4⁻ HSB-2. Notably, SM102 LNPs modified with a CD4 monoclonal antibody,
used as a ben chmark control, showed lower transfection efficiency in CD4⁺ SUPT -1 cells than Apt62 -
modified SM102 LNPs.
To confirm cell -type specificity, flow cytometry was performed following transfection with SM102 -
Apt62:100 and SM102 -dT LNPs, the latter serving as a non -targeting control (Figure 3B) . Mean
fluorescence intensity (MFI) analysis showed that dT -modified LNPs yielded similar eGFP expression
levels across both CD4⁺ SUPT-1 and CD4⁻ HSB-2 cells, consistent with non-selective uptake (Figure 3C).
In contrast, Apt62-modified LNPs produced a marked increase in eGFP signal in CD4⁺ SUPT-1 cells, with
approximately 80% of the population transfected, while CD4⁻ HSB -2 cells remained largely non -
fluorescent. These results confirm that Apt62 LNPs enable robust and selective mRNA delivery to CD4⁺
cells.
4.5 Aptamer modified LNPs enhance splenic targeting
The biodistribution of luciferase mRNA-loaded LNPs was assessed by quantifying luminescence in major
organs following systemic administration. Organs analyzed included liver, spleen, lung, heart, kidney,
intestine, femur, and tibia (Figure 4A) . Among these, only the liver and spleen exhibited detectable
luciferase signals. Non -targeting LNPs formulated with either MC3 or SM102 showed predominant
transfection in the liver, consistent with known hepatic uptake of LNPs. No luminescence was observed in
the sple en for these non -targeting controls (Figure 4B). Upon conjugation of Apt62, changes in
biodistribution were observed. For MC3 LNPs, aptamer modification at a 75:1 ratio resulted in a modest
reduction in liver luminescence and a significant increase in spleen signal, with spleen uptake
approximately 20-fold higher than non -targeting MC3, suggesting partial redirection away from hepatic
clearance toward lymphoid tissue. In contrast, SM102 LNPs maintained high liver signal regardless of
aptamer conjugation; however, Apt62-functionalized SM102 LNPs showed a significant increase in spleen-
associated luminescence, approximately 80 -fold higher than non -targeting SM102, with the Apt62:75
group exhibiting the highest splenic accumulation overall.
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To benchmark aptamer targeting against antibody-based approaches, we included two CD4 mAb controls
with distinct purposes. Anti –mouse CD4 mAb –LNPs were used to represent conventional antibody
targeting in the murine system, while anti –human CD4 mAb –LNPs were evaluated because Apt62 was
originally developed against human CD4, allowing comparison between a human -specific aptamer and a
human-specific antibody. Anti–mouse CD4 mAb–LNPs increased spleen luminescence by approximately
three- to fourfold relative to SM102 Apt62:75 formulation, but this was accompanied by a similar threefold
rise in liver luminescence. Because higher spleen signal in isolation can be misleading if accompanied by
proportional or greater increases in liver uptake, we quantified targetin g efficiency as the spleen -to-liver
luminescence ratio. This analysis showed that targeting efficiency (Figure 4C) was nearly identical
between anti–mouse CD4 mAb –LNPs and SM102:Apt62:75. In contrast, anti –human CD4 mAb –LNPs
produced spleen luminescence comparable to Apt62:75 but substantially higher liver signal, resulting in a
significantly lower spleen -to-liver ratio. These results indicate that Apt62 conjugation provided stronger
splenic selectivity than the human antibody in this murine model, while performing on par with the mouse-
specific antibody control.
4.6 Aptamer-LNPs Maintain a Favorable Safety Profile, compared to CD4 mAb LNPs
To evaluate the in vivo safety profile of the LNP formulations, organ -to-body weight ratios and serum
biomarkers were analyzed following systemic administration. No significant differences in liver or spleen
weight relative to total body weight were observed across any treatment group, including both non-targeting
and Apt62-functionalized LNPs (Figure 5A and 5B), indicating that administration of these LNPs did not
induce detectable organ enlargement or tissue burden. Serum cytokine analysis revealed that w hile IL-6
levels remained largely comparable across most groups, anti-CD4 mAb-conjugted LNPs exhibited a modest
upward trend. Importantly, TNF-α was significantly elevated in the anti mouse-CD4 mAb-conjugated LNP
group compared to all other formulations, suggesting increased systemic immune activation. Furthermore,
ALT levels also showed a modest increase in the antibody-conjugated group, whereas aptamer -modified
and non-targeting LNPs remained unchanged relative to saline (Figure 5C, D, &E). Collectively, these
Results
indicate that aptamer -functionalized LNPs maintained a proper safety profile, while antibody -
conjugated LNPs were associated with signs of heightened inflammatory and hepatic responses.
4.7 AptaBLE designed aptamers bind comparably to CD4 as those discovered via in-vitro selection
Having established that a previously validated CD4 aptamer reliably confers active targeting to LNPs in
vitro and in vivo, we next asked whether a data-driven design strategy could broaden the ligand repertoire
while preserving targeting performance. In this study, we evaluated AptaBLE as a design engine for
aptamer ligands enabling cell -specific LNP delivery. Using the Apta BLE-MCTS algorithm, we in silico
generated a 100-member N40 library (40-nt randomized core) optimized for binding to human CD4 (hCD4)
and counter-selected against human albumin to reduce nonspecific serum interactions. AptaBLE -MCTS -
a sequence-first language-model search guided by Monte Carlo tree search - efficiently explored the large
sequence space while biasing toward high -scoring bi nders. Library composition was assessed by
hierarchical clustering of predicted secondary structures (Figure 6A), revealing broad diversity with only
a few tight structural clades; sequence-level similarity was likewise low across candidates (pairwise identity
minimal; not shown). Together, these analyses indicate that the designed pool avoids mode collapse and
furnishes a structurally and sequence-diverse panel for testing CD4-targeted LNP delivery.
Three novel CD4-binding aptamers were identified for having comparable predicted minimum free energies
and GC contents to Aptamer 62. These aptamers were also predicted to bind a similar epitope to Aptamer
62 on the hCD4 surface (Figure 6B) in-complex, according to in-silico structure docking prediction tools.
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These candidates were shorter than Aptamer 62 (40 mers) and shared no sequence homology (maximum
40%). Additional analyses show these aptamers share minimal structural similarity or sequential homology
to Aptamer 62 (Figure 6, C-E).
Additionally, the three candidate aptamers identified by AptaBLE were conjugated to SM102 LNPs at a
100:1 aptamer -to-LNP ratio and evaluated for selective transfection. These aptamers exhibited similar
transfection trends to Aptamer 62, with significantly higher eGFP expression in SUPT-1 cells compared to
HSB-2 cells, validating the predictive accuracy of AptaBLE and expanding the functional repertoire of
aptamer-guided LNP delivery systems (Figure 7).
5 Discussion
Active targeting has been widely used for targeted delivery to overcome the challenges of LNP, and
multiple ligands have been utilized, such as antibodies, protein fragments, and peptides.43,44 Antibodies are
attractive for their strong binding affinity and high specificity, but their large size restricts their display
density, can destabilize particle structure and packing, complicates purification and scale-up, and increases
batch-to-batch variability in manufacturing. In addition, smaller protein fragments, such as Fc regions, can
interact with immune cells, altering biodistribution and clearance in ways that compete with receptor -
directed uptake.26,45 Peptides have also been investigated as targeting ligands, offering smaller size and ease
of synthesis, but their utility in vivo is often limited by proteolytic degradation, relatively short circulation
time, relatively low receptor affinity, along with misfolding and aggregation.46,47 These limitations highlight
the need for alternative ligands that retain high specificity while being structurally compact, stable in
physiological environments, and fully compatible with LNP formulations. In this study, we showed that
aptamers can overcome the limitations of antibodies, protein fragments and peptides by redirecting LNPs
to deliver mRNA specifically to CD4⁺ cells and immune-rich tissues following systemic administration.
We selected MC3 and SM102, two clinically validated ionizable lipids incorporated into approved or
advanced mRNA therapeutics, thereby providing a strong translational foundation .48,49 Each formulation
contained helper lipid (DSPC), cholesterol, and a PEGylated lipid, with molar ratios adapted from
preclinical and clinical studies.22,49 After formulating the LNPs, aptamers were conjugated via a maleimide–
thiol reaction. The key advantages of aptamer conjugated LNP over antibody conjugated LNP are
chemically synthesized aptamer’s tunability and the simplicity of a one-step reaction that maintains uniform
orientation. The small size of aptamers and the presence of a single thiol group at the 5′ end enable precise
control of the number of ligands attached to each LNP while ensuring correct presentation of the binding
domain. We generated LNPs functionalized with 25, 75, or 100 aptamers per LNP, and a molecular beacon
complementary to Apt62 confirmed that ligand density increased proportionally with the number of
aptamers conjugated. Physicochemical characterization demonstrated only modest increase in particle size
and minimal change in zeta potential compared with non -targeting LNPs, indicating that aptamer
modification did not alter any physicochemical properties. In parallel, cytotoxicity assays in SUPT1 (CD4⁺)
and HSB2 (CD4⁻) cells demonstrated viabilities consistently above 80%, confirming that aptamer display
did not compromise cellular health status and that subsequent differences in mRNA delivery would reflect
targeting activity rather than nonspecific toxicity.
Receptor engagement is generally the central determinant of selective uptake, and the number of ligands
displayed on the nanoparticle surface directly influences delivery efficiency. In SUPT1 (CD4⁺) cells,
increasing the density of Apt62 on the LNP surface produced a clear stepwise increa se in reporter
expression, whereas HSB2 (CD4⁻) cells maintained consistently low levels comparable to non -targeting
formulations. This difference between CD4⁺ and CD4⁻ populations confirms that selective delivery arises
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from ligand–receptor interactions rather than nonspecific internalization. Comparison of MC3 LNP and
SM102 LNP formulations further demonstrated that aptamer targeting depends not only on ligand
presentation but also on the properties of the underlying ion izable lipid. At equivalent aptamer densities,
SM102 LNP consistently produced higher levels of reporter expression than MC3 LNP, a difference likely
attributable to its lipid structure, pKa, and membrane fusion characteristics, which together enhance uptake
and intracellular trafficking. 49,50 Benchmarking against antibody -functionalized LNPs highlighted the
practical advantage of aptamers. Although anti -CD4 antibody conjugated SM102 LNP showed
improvement of mRNA delivery, overall protein expression remained relatively lower than that achieved
with SM102 Apt62 LNP, even at reduced aptamer densities. This reduced performance likely reflects the
steric bulk of antibodies, which limits the number that can be accommodated per LNP, and their
heterogeneous orientation after conjugation, which restric ts antigen -binding accessibility. In contrast,
aptamers are structurally compact, permit controlled increases in display density, and maintain consistent
orientation, allowing more efficient receptor engagement and superior transfection outcomes. Sequence
specificity of the aptamer is essential for selective targeting. If the aptamer sequence engages CD4, delivery
should be restricted to CD4⁺ cells, whereas a non -binding sequence would be expected to lose this
selectivity and distribute more broadly. Consis tent with this, SM102 Apt62 LNPs efficiently transfected
CD4⁺ SUPT1 cells while maintaining minimal activity in CD4⁻ HSB2 cells, whereas polyT-functionalized
LNPs at the same density produced similar levels of reporter activity in both populations. These f indings
demonstrate that the selective uptake observed with Apt62 is from sequence-specific receptor recognition
rather than nonspecific effects of oligonucleotide conjugation.50
Our in vivo studies demonstrated that aptamer functionalization successfully redirected LNPs to immune-
cell–rich tissues. Following systemic administration of MC3 and SM102 non-targeting LNP formulations
expressed predominantly in the liver with negligible expression in spleen, tibia, or femur, consistent with
ApoE adsorption and LDLR-mediated clearance.17,51,52 Apt62 conjugation, however, substantially increased
splenic reporter expression compared with non -targeting controls. It is important to consider that the
physicochemical properties of the nanoparticles, including particle size and surface charge, remaine d
unchanged between non-targeting and Apt62-functionalized groups; thus, the increased splenic expression
can be largely attributed to receptor -mediated uptake. SM102 Apt62 LNPs also showed higher splenic
expression than with MC3 Apt62 -functionalized LNPs, which is consistent to the performance in CD4⁺
cells in vitro . Several groups have developed next -generation lipids, including CICL1 and C14 -4, that
reduce hepatic sequestration and enable extrahepatic delivery. 43,53 While our study focused on testing
whether aptamer functionalization alone could redirect clinically established, liver -tropic backbones, we
anticipate that combining aptamers with these newer lipid scaffolds would provide additive benefits by
simultaneously lowering liver expression and enriching delivery to immune-cell–rich tissues.
Benchmarking against antibody-functionalized LNPs demonstrated that aptamers achieve comparable or
superior targeting efficiency . SM102 LNPs were functionalized with either mouse or human CD4
antibodies. Both were included for distinct reasons: the mouse antibody provided a species matched control
to represent conventional targeting in this model, whereas the human antibody enabled direct comparison
to Apt62, which was originally selected against human CD4. Mouse CD4 antibody conjugation produced
higher absolute spleen expression than Apt62, but this was accompanied by proportional increases in liver
expression, yielding a spleen to liver ratio nearly identical to Apt62 conjugated SM102 LNPs. This
demonstrates that greater absolute expression does not equate to improved targeting efficiency when liver
remains the dominant site of uptake. The stronger spleen signal with the mouse antibody likely reflects
species matched receptor recognition, with Fc dependent interactions further contributing to hepatic
clearance. In contrast, the human CD4 antibody produced expression in spleen comparable to Apt62 but
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disproportionately greater liver accumulation, resulting in significantly less targeting efficiency. The fact
that a human selected aptamer achieved targeting efficiency equivalent to a mouse specific antibody, and
significantly high to a human antibody, h ighlights the robustness of cross species recognition. These
findings imply that a mouse specific aptamer, or studies conducted in humanized CD4 mice, can further
enhance immune cell rich tissue targeting.
Evaluation of systemic safety parameters indicated that aptamer -functionalized LNPs maintained a safety
profile comparable to non -targeting LNP formulations. Liver and spleen weights relative to body weight
remained unchanged, and both serum ALT activity a nd cytokine levels were within the same range as
saline. These results suggest that incorporation of Apt62 did not induce organ enlargement, hepatocellular
stress, or measurable inflammatory activation under the conditions tested. In contrast, antibody -
functionalized LNPs showed clear evidence of immune activation. TNF-α concentrations were significantly
higher than all other groups, accompanied by modest increases in IL-6 and ALT. This pattern is consistent
with systemic inflammatory stimulation together with early hepatic stress. Mechanistically, such effects are
likely explained by Fc -dependent interactions, in which antibody Fc regions engage Fcγ receptors on
Kupffer cells and splenic macrophages, promoting cytokine release and secondary immune signaling.25,45,54
While our data demonstrate that aptamer -functionalized LNPs achieve targeted delivery with a favorable
safety profile, these findings should be considered within the broader context of aptamer utility , where
historical barriers have constrained clinical translation. As drugs in free form, use of aptamers has been
limited by unfavorable PK/PD properties , susceptibility to nuclease degradation, and nonspecific
interactions with serum proteins .55,56 We addressed several of these barriers by repurposing aptamers as
targeting ligands rather than as drugs alone. Beyond the pharmacological limitations of aptamers, a critical
barrier lies in their discovery process, where the traditional SELEX workflow remains inherently
inefficient.57 Iterative bind–wash–amplify cycles extend over weeks to months, enrichment is frequently
biased by amplification artifacts rather than true affinity, and insufficient counter -selection often yields
polyreactive sequences with broad off-target binding.57,58 While refinements such as incorporating negative
selection against serum proteins and excluding CpG motifs from candidate libraries can reduce nonspecific
interactions and innate immune activation, these strategies do not overcome the fundamental time and
resource intensiveness of SELEX.59–61
To overcome this discovery bottleneck, we used AptaBLE, our proprietary language model–based platform
that can generate de novo high -affinity aptamers within days. 41 As a proof of concept, four AptaBLE -
predicted aptamers were conjugated to SM102 LNPs and tested for their ability to deliver eGFP mRNA
selectively to CD4⁺ SUPT1 cells. These aptamer-conjugated LNP formulations showed sequence-specific
targeting, producing comparable levels of reporter expression to benchmark Apt62-functionalized LNPs in
CD4⁺ cells, while maintaining minimal expression in CD4⁻ HSB2 cells and clearly outperforming non -
targeting LNP formulations. These findings confirm that our AI -guided discovery platform can generate
novel aptamers that function effectively when displayed on LNPs. This establishes a framework for moving
beyond the limitations of SELEX, where in silico–designed aptamers can be rapidly generated and validated
in functional contexts, accelerating the integration of aptamer –LNP conjugates into targeted nucleic acid
therapeutics.
6 Conclusion:
This study shows a proof -of-concept of aptamer -functionalized LNPs as a versatile and density -tunable
platform for targeted in vivo mRNA delivery to CD4⁺ T cells. By functionalizing LNPs with the validated
CD4-binding aptamer Apt62, we demonstrated selective binding, enhanced uptake, and increased
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transfection efficiency in CD4⁺ cells in vitro, accompanied by preferential mRNA delivery to immune-rich
tissues, particularly the spleen, in vivo. Toxicity evaluation confirmed that aptamer -LNPs did not induce
measurable hepatic toxicity or systemic inflammatory responses, in contrast to antibody -functionalized
LNPs that triggered elevated pro -inflammatory cytokines. Leveraging our proprietary in s ilico aptamer
design framework, AptaBLE, we generated novel, shorter CD4 -targeting aptamers that achieved
comparable specificity and delivery efficiency to Apt62. These findings highlight the potential of aptamer-
functionalized LNPs, augmented by AI -guided aptamer discovery, as a scalable, non -immunogenic, and
modular strategy for in vivo genetic engineering of T cells, thereby addressing key limitations of current ex
vivo approaches.
Acknowledgements
The authors would like to thank Yev Brundo at the University of North Carolina at Chapel Hill for his
guidance on in vitro and in vivo T-cell experimental design, and Isaac Mick along with the staff of the
Laboratory Animal Resources Department at North Carolina State University for their assistance with the
animal studies.
Funding
This work was supported by the National Science Foundation SBIR Phase II Grant No. 2127436
CRediT author statement
SS: Conceptualization, Methodology, Validation, Formal analysis, Investigation, Data Curation, Writing
original draft, Visualization. MR: Methodology, Validation, Formal analysis, Investigation, Data Curation,
Writing – Review and Editing. JD: Methodology, Validation, Formal analysis, Investigation . KF:
Investigation, Data curation. AF: Conceptualization, Investigation. YW: Methodology. SK: Investigation.
MB: Investigation. SP: Software, Methodology, Validation, Formal analysis, Investigation. SY:
Conceptualization, Resources, Writing – Review and Editing, Supervision, Project administration, Funding
acquisition.
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(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted September 12, 2025. ; https://doi.org/10.1101/2025.09.10.675359doi: bioRxiv preprint
-16-
References
1. Blache U, Tretbar S, Koehl U, Mougiakakos D, Fricke S. CAR T cells for treating autoimmune diseases.
RMD Open. 2023;9(4):e002907. doi:10.1136/rmdopen-2022-002907
2. Shi J, Huang MW, Lu ZD, et al. Delivery of mRNA for regulating functions of immune cells. Journal of
Controlled Release. 2022;345:494-511. doi:10.1016/j.jconrel.2022.03.033
3. Ellis GI, Sheppard NC, Riley JL. Genetic engineering of T cells for immunotherapy. Nat Rev Genet.
2021;22(7):427-447. doi:10.1038/s41576-021-00329-9
4. Kennedy R, Celis E. Multiple roles for CD4+ T cells in anti-tumor immune responses. Immunological
Reviews. 2008;222(1):129-144. doi:10.1111/j.1600-065X.2008.00616.x
5. Sterner RC, Sterner RM. CAR-T cell therapy: current limitations and potential strategies. Blood Cancer
J. 2021;11(4):69. doi:10.1038/s41408-021-00459-7
6. Ayala Ceja M, Khericha M, Harris CM, Puig-Saus C, Chen YY. CAR-T cell manufacturing: Major process
parameters and next-generation strategies. J Exp Med. 2024;221(2):e20230903.
doi:10.1084/jem.20230903
7. Abou-el-Enein M, Elsallab M, Feldman SA, et al. Scalable Manufacturing of CAR T Cells for Cancer
Immunotherapy. Blood Cancer Discov. 2021;2(5):408-422. doi:10.1158/2643-3230.BCD-21-0084
8. Skorka K, Ostapinska K, Malesa A, Giannopoulos K. The Application of CAR-T Cells in Haematological
Malignancies. Arch Immunol Ther Exp (Warsz). 2020;68(6):34. doi:10.1007/s00005-020-00599-x
9. Zhang Y, Qin D, Shou AC, Liu Y, Wang Y, Zhou L. Exploring CAR-T Cell Therapy Side Effects:
Mechanisms and Management Strategies. J Clin Med. 2023;12(19):6124. doi:10.3390/jcm12196124
10. Boulch M, Cazaux M, Cuffel A, et al. A major role for CD4+ T cells in driving cytokine release
syndrome during CAR T cell therapy. Cell Reports Medicine. 2023;4(9):101161.
doi:10.1016/j.xcrm.2023.101161
11. Garcia Borrega J, Gödel P, Rüger MA, et al. In the Eye of the Storm: Immune-mediated Toxicities
Associated With CAR-T Cell Therapy. Hemasphere. 2019;3(2):e191.
doi:10.1097/HS9.0000000000000191
12. Gust J, Hay KA, Hanafi LA, et al. Endothelial Activation and Blood–Brain Barrier Disruption in
Neurotoxicity after Adoptive Immunotherapy with CD19 CAR-T Cells. Cancer Discov. 2017;7(12):1404-
1419. doi:10.1158/2159-8290.CD-17-0698
13. Santomasso BD, Park JH, Salloum D, et al. Clinical and Biological Correlates of Neurotoxicity
Associated with CAR T-cell Therapy in Patients with B-cell Acute Lymphoblastic Leukemia. Cancer
Discov. 2018;8(8):958-971. doi:10.1158/2159-8290.CD-17-1319
14. Jeong M, Lee Y, Park J, Jung H, Lee H. Lipid nanoparticles (LNPs) for in vivo RNA delivery and
their breakthrough technology for future applications. Advanced Drug Delivery Reviews.
2023;200:114990. doi:10.1016/j.addr.2023.114990
.CC-BY-NC 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted September 12, 2025. ; https://doi.org/10.1101/2025.09.10.675359doi: bioRxiv preprint
-17-
15. Mehta M, Bui TA, Yang X, Aksoy Y, Goldys EM, Deng W. Lipid-Based Nanoparticles for Drug/Gene
Delivery: An Overview of the Production Techniques and Difficulties Encountered in Their Industrial
Development. ACS Mater Au. 2023;3(6):600-619. doi:10.1021/acsmaterialsau.3c00032
16. Kim EH, Teerdhala SV, Padilla MS, et al. Lipid nanoparticle‐mediated RNA delivery for immune
cell modulation. Eur J Immunol. 2024;54(12):2451008. doi:10.1002/eji.202451008
17. Hosseini-Kharat M, Bremmell KE, Prestidge CA. Why do lipid nanoparticles target the liver?
Understanding of biodistribution and liver-specific tropism. Molecular Therapy Methods & Clinical
Development. 2025;33(1):101436. doi:10.1016/j.omtm.2025.101436
18. Wang X, Liu S, Sun Y, et al. Preparation of selective organ-targeting (SORT) lipid nanoparticles
(LNPs) using multiple technical methods for tissue-specific mRNA delivery. Nat Protoc.
2023;18(1):265-291. doi:10.1038/s41596-022-00755-x
19. Liao H, Liao J, Zeng L, Cao X, Fan H, Chen J. Strategies for Organ-Targeted mRNA Delivery by Lipid
Nanoparticles. WIREs Nanomedicine and Nanobiotechnology. 2024;16(5):e2004.
doi:10.1002/wnan.2004
20. Nabih NW, Hassan HAFM, Preis E, et al. Antibody-functionalized lipid nanocarriers for RNA-
based cancer gene therapy: advances and challenges in targeted delivery. Nanoscale Adv.
doi:10.1039/d5na00323g
21. Billingsley MM, Singh N, Ravikumar P, Zhang R, June CH, Mitchell MJ. Ionizable Lipid
Nanoparticle-Mediated mRNA Delivery for Human CAR T Cell Engineering. Nano Lett.
2020;20(3):1578-1589. doi:10.1021/acs.nanolett.9b04246
22. Tombácz I, Laczkó D, Shahnawaz H, et al. Highly efficient CD4+ T cell targeting and genetic
recombination using engineered CD4+ cell-homing mRNA-LNPs. Mol Ther. 2021;29(11):3293-3304.
doi:10.1016/j.ymthe.2021.06.004
23. Tafech B, Mohabatpour F, Hedtrich S. Surface modification of lipid nanoparticles for gene
therapy. The Journal of Gene Medicine. 2024;26(1):e3642. doi:10.1002/jgm.3642
24. Hansel TT, Kropshofer H, Singer T, Mitchell JA, George AJT. The safety and side effects of
monoclonal antibodies. Nat Rev Drug Discov. 2010;9(4):325-338. doi:10.1038/nrd3003
25. Baldo BA. Immune- and Non-Immune-Mediated Adverse Effects of Monoclonal Antibody
Therapy: A Survey of 110 Approved Antibodies. Antibodies (Basel). 2022;11(1):17.
doi:10.3390/antib11010017
26. Harding JA, Engbers CM, Newman MS, Goldstein NI, Zalipsky S. Immunogenicity and
pharmacokinetic attributes of poly(ethylene glycol)-grafted immunoliposomes. Biochimica et
Biophysica Acta (BBA) - Biomembranes. 1997;1327(2):181-192. doi:10.1016/S0005-2736(97)00056-4
27. Pereira AJ, de Campos LJ, Xing H, Conda-Sheridan M. Peptide-based therapeutics: challenges
and solutions. Med Chem Res. 2024;33(8):1275-1280. doi:10.1007/s00044-024-03269-1
.CC-BY-NC 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted September 12, 2025. ; https://doi.org/10.1101/2025.09.10.675359doi: bioRxiv preprint
-18-
28. Accardo A, Morelli G. Review peptide-targeted liposomes for selective drug delivery: Advantages
and problematic issues. Peptide Science. 2015;104(5):462-479. doi:10.1002/bip.22678
29. Diao L, Meibohm B. Pharmacokinetics and pharmacokinetic-pharmacodynamic correlations of
therapeutic peptides. Clin Pharmacokinet. 2013;52(10):855-868. doi:10.1007/s40262-013-0079-0
30. Zhang Y, Lai BS, Juhas M. Recent Advances in Aptamer Discovery and Applications. Molecules.
2019;24(5):941. doi:10.3390/molecules24050941
31. Allemailem KS, Almatroudi A, Alsahli MA, et al. Recent advances in understanding
oligonucleotide aptamers and their applications as therapeutic agents. 3 Biotech. 2020;10(12):551.
doi:10.1007/s13205-020-02546-1
32. Domsicova M, Korcekova J, Poturnayova A, Breier A. New Insights into Aptamers: An Alternative
to Antibodies in the Detection of Molecular Biomarkers. Int J Mol Sci. 2024;25(13):6833.
doi:10.3390/ijms25136833
33. Sundaresan SM, Fothergill SM, Tabish TA, Ryan M, Xie F. Aptamer biosensing based on metal
enhanced fluorescence platform: A promising diagnostic tool. Appl Phys Rev. 2021;8(4):041311.
doi:10.1063/5.0065833
34. Cesarini V, Appleton SL, de Franciscis V, Catalucci D. The recent blooming of therapeutic
aptamers. Molecular Aspects of Medicine. 2025;102:101350. doi:10.1016/j.mam.2025.101350
35. Thomas BJ, Guldenpfennig C, Guan Y, et al. Targeting lung cancer with clinically relevant EGFR
mutations using anti-EGFR RNA aptamer. Mol Ther Nucleic Acids. 2023;34:102046.
doi:10.1016/j.omtn.2023.102046
36. Rosenberg JE, Bambury RM, Van Allen EM, et al. A phase II trial of AS1411 (a novel nucleolin-
targeted DNA aptamer) in metastatic renal cell carcinoma. Invest New Drugs. 2014;32(1):178-187.
doi:10.1007/s10637-013-0045-6
37. Zhao N, Pei S nan, Parekh P, Salazar E, Zu Y. Blocking interaction of viral gp120 and CD4-
expressing T cells by single-stranded DNA aptamers. Int J Biochem Cell Biol. 2014;51:10-18.
doi:10.1016/j.biocel.2014.03.008
38. Zhao N, Pei S nan, Parekh P, Salazar E, Zu Y. Blocking interaction of viral gp120 and CD4-
expressing T cells by single-stranded DNA aptamers. The International Journal of Biochemistry & Cell
Biology. 2014;51:10-18. doi:10.1016/j.biocel.2014.03.008
39. Tuerk C, Gold L. Systematic Evolution of Ligands by Exponential Enrichment: RNA Ligands to
Bacteriophage T4 DNA Polymerase. Science. 1990;249(4968):505-510. doi:10.1126/science.2200121
40. Ellington AD, Szostak JW. In vitro selection of RNA molecules that bind specific ligands. Nature.
1990;346(6287):818-822. doi:10.1038/346818a0
41. Patel S, Fraser K, Peng Z, et al. AptaBLE: A Deep Learning Platform for SELEX Optimization. In:
2024. Accessed September 5, 2025. https://openreview.net/forum?id=y1VLghM9Xa
.CC-BY-NC 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted September 12, 2025. ; https://doi.org/10.1101/2025.09.10.675359doi: bioRxiv preprint
-19-
42. Ramishetti S, Kedmi R, Goldsmith M, et al. Systemic Gene Silencing in Primary T Lymphocytes
Using Targeted Lipid Nanoparticles. ACS Nano. 2015;9(7):6706-6716. doi:10.1021/acsnano.5b02796
43. Billingsley MM, Gong N, Mukalel AJ, et al. In Vivo mRNA CAR T Cell Engineering via Targeted
Ionizable Lipid Nanoparticles with Extrahepatic Tropism. Small. 2024;20(11):2304378.
doi:10.1002/smll.202304378
44. Zhang T, Yin H, Li Y, et al. Optimized lipid nanoparticles (LNPs) for organ-selective nucleic acids
delivery in vivo. iScience. 2024;27(6):109804. doi:10.1016/j.isci.2024.109804
45. Brennan FR, Polli JR, Sathish J, et al. Impact of antibody Fc engineering on translational
pharmacology, and safety: insights from industry case studies. MAbs. 17(1):2505092.
doi:10.1080/19420862.2025.2505092
46. Wang L, Wang N, Zhang W, et al. Therapeutic peptides: current applications and future
directions. Sig Transduct Target Ther. 2022;7(1):48. doi:10.1038/s41392-022-00904-4
47. Vlieghe P, Lisowski V, Martinez J, Khrestchatisky M. Synthetic therapeutic peptides: science and
market. Drug Discov Today. 2010;15(1-2):40-56. doi:10.1016/j.drudis.2009.10.009
48. Kent SJ, Li S, Amarasena TH, et al. Blood Distribution of SARS-CoV-2 Lipid Nanoparticle mRNA
Vaccine in Humans. medRxiv. Preprint posted online July 27, 2024:2024.07.25.24311039.
doi:10.1101/2024.07.25.24311039
49. Escalona-Rayo O, Zeng Y, Knol RA, et al. In vitro and in vivo evaluation of clinically-approved
ionizable cationic lipids shows divergent results between mRNA transfection and vaccine efficacy.
Biomedicine & Pharmacotherapy. 2023;165:115065. doi:10.1016/j.biopha.2023.115065
50. Muto H, Kubara K, Hitaoka S, Osada Y, Suzuki Y. Ionizable lipid chemistry in lipid nanoparticles
determines delivery efficiency to hepatic stellate cells. Journal of Controlled Release.
2025;385:114055. doi:10.1016/j.jconrel.2025.114055
51. Akinc A, Querbes W, De S, et al. Targeted Delivery of RNAi Therapeutics With Endogenous and
Exogenous Ligand-Based Mechanisms. Molecular Therapy. 2010;18(7):1357-1364.
doi:10.1038/mt.2010.85
52. Liu Y, Huang Y, He G, Guo C, Dong J, Wu L. Development of mRNA Lipid Nanoparticles: Targeting
and Therapeutic Aspects. Int J Mol Sci. 2024;25(18):10166. doi:10.3390/ijms251810166
53. Hunter TL, Zhang Y, Matsuda D, et al. In vivo CAR T cell generation to treat cancer and
autoimmune disease. Science. 2025;Vol 388(6753):1311-1317.
54. Ben Mkaddem S, Benhamou M, Monteiro RC. Understanding Fc Receptor Involvement in
Inflammatory Diseases: From Mechanisms to New Therapeutic Tools. Front Immunol. 2019;10:811.
doi:10.3389/fimmu.2019.00811
55. Kovacevic KD, Gilbert JC, Jilma B. Pharmacokinetics, pharmacodynamics and safety of aptamers.
Advanced Drug Delivery Reviews. 2018;134:36-50. doi:10.1016/j.addr.2018.10.008
.CC-BY-NC 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted September 12, 2025. ; https://doi.org/10.1101/2025.09.10.675359doi: bioRxiv preprint
-20-
56. Kratschmer C, Levy M. Effect of Chemical Modifications on Aptamer Stability in Serum. Nucleic
Acid Ther. 2017;27(6):335-344. doi:10.1089/nat.2017.0680
57. Kohlberger M, Gadermaier G. SELEX: Critical factors and optimization strategies for successful
aptamer selection. Biotechnology and Applied Biochemistry. 2022;69(5):1771-1792.
doi:10.1002/bab.2244
58. Yu H, Alkhamis O, Canoura J, Liu Y, Xiao Y. Advances and Challenges in Small-Molecule DNA
Aptamer Isolation, Characterization, and Sensor Development. Angew Chem Int Ed Engl.
2021;60(31):16800-16823. doi:10.1002/anie.202008663
59. Odeh F, Nsairat H, Alshaer W, et al. Aptamers Chemistry: Chemical Modifications and
Conjugation Strategies. Molecules. 2019;25(1):3. doi:10.3390/molecules25010003
60. Wang T, Chen WX, Xu GF, et al. A universal strategy designed for selecting bench-to-bedside
aptamers to serum and validated in hepatocellular carcinoma diagnosis. Microchemical Journal.
2019;150:104152. doi:10.1016/j.microc.2019.104152
61. Krieg AM. CpG motifs in bacterial DNA and their immune effects. Annu Rev Immunol.
2002;20:709-760. doi:10.1146/annurev.immunol.20.100301.064842
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Figure 1: (A) Schematic representation of aptamer –lipid nanoparticle (LNP) formulation using a
microfluidic device, followed by thiol–aptamer conjugation. (B) Hydrodynamic size and (C) polydispersity
index (PDI) of MC3 - and SM102-based LNPs, either non -targeting or Apt62-modified. (D) Schematic
illustrating molecular beacon hybridization assay for quantifying aptamer density on LNPs. (E) Thermal
melt curves of Apt62 molecular beacons at concentrations ranging from 0 –800 nM. (F) Biolayer
interferometry (BLI) sensogram s of Apt62 binding to recombinant human CD4 protein. (G) BLI
sensograms of Apt62 -functionalized LNPs binding to recombinant human CD4 protein. Data represent
mean ± SD (n=3 for B–C).
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Figure 2: Evaluation of cytotoxicity of aptamer -functionalized lipid nanoparticles (LNPs). Cell viability
was measured following treatment with increasing doses of luciferase mRNA-loaded LNPs formulated with
either MC3 or SM102 ionizable lipids. (A) SUP -T1 cells and (B) HSB-2 cells were incubated with non -
targeting LNPs or Apt62-modified LNPs for 24 hours. Data represent mean ± SD (n=4).
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Figure 3: (A) eGFP expression in SUP -T1 (CD4⁺) and HSB2 (CD4⁻) cells following treatment with
mRNA-loaded LNPs formulated with MC3 or SM102, either non -targeting, Apt62 -modified (25:1 or
100:1), or anti-human CD4 mAb-conjugated. (B) Representative flow cytometry histograms showing eGFP
expression in CD4⁺ (black) and CD4⁻ (red) populations treated with SM102 Apt62:100 or SM102 dT:100
LNPs. (C) Quantification of mean fluorescence intensity (MFI) of CD4⁺ and CD4⁻ populations
corresponding to panel (B). Data represent mean ± SD (n=4). Statistical significance was determined using
two-way ANOVA followed by Tukey’s multiple comparisons test; ****p < 0.0001, ***p < 0.001, **p <
0.01, ####p < 0.0001 versus corresponding CD4⁺ population.
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Figure 4: (A) Representative ex vivo IVIS images of major organs collected 6 h post-injection from mice
treated with saline, MC3 or SM102 LNPs (non-targeting or Apt62:75), or SM102 anti-mouse/human CD4
mAb-conjugated LNPs. (B) Quantification of normalized luminescence in the liver. (C) Quantification of
normalized luminescence in spleen. (D) Percentage of spleen -to-liver luminescence ratio. Data represent
mean ± SD (n=4). Statistical significance was determined using one -way ANOVA followed by Tukey’s
multiple comparisons test; ****p < 0.0001, ***p < 0.001, **p < 0.01.
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Figure 5: Assessment of organ indices and systemic cytokine markers 6 h post-injection. (A) Liver-to-body
weight ratio. (B) Spleen-to-body weight ratio. (C) Serum IL-6 levels. (D) Serum TNF-α levels. (E) Serum
ALT levels. Mice were treated with saline, MC3 or SM102 LNPs (non-targeting or Apt62:75), or SM102
anti-mouse CD4 mAb -conjugated LNPs. Data represent mean ± SD (n=4). Statistical significance was
determined using one-way ANOVA followed by Tukey’s multiple comparisons test; **p < 0.01.
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Figure 6: In silico discovered aptamers binding selectively to hCD4 share minimal structural or sequential
homology to in vitro selected aptamers. (A) Hierarchical clustering of the predicted secondary structures
for the in silico 40N library generated by AptaBLE. Secondary structures for each aptamer were predicted
via mFold. The dot -bracket representations for each aptamer secondary structure were subsequently
clustered using the Scipy hierarchical clustering library. Highlighted in yellow are Aptamers 54, 72, and
121, which were candidates ultimately synthesized and progressed to LNP delivery studies. (B) The
predicted interaction complexes for Aptamers 72, 54, and 121 in comparison to the in-vitro selected
Aptamer 62. Additionally, hierarchical clustering of the predicted secondary structures (C), the actual
predicted secondary structures (D), and the multiple sequence alignment (E) for all aptamers used in the
functional LNP delivery study are shown. for all aptamers used in the functional LNP delivery study. The
methodology for the hierarchical clustering is identical to (A). Secondary structure prediction was
performed with mFold. Multiple sequence alignment was done with Clustal Omega.
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Figure 7: eGFP expression in SUP-T1 (CD4⁺) and HSB2 (CD4⁻) cells following transfection with SM102
LNPs functionalized with AutoNA -predicted aptamers (Apt62, Apt54, Apt72, Apt121) at a 100:1 ratio.
Data represent mean ± SD (n=4). Statistical significance was determined using two-way ANOVA followed
by Tukey’s multiple comparisons test; ****p < 0.0001.
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