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[Preprint]. 2025 Feb 28:2025.02.24.639996. [Version 1] doi: 10.1101/2025.02.24.639996

Enhanced epigenetic modulation via mRNA-encapsulated lipid nanoparticles enables targeted anti-inflammatory control

Tahere Mokhtari 1,2,3, Mohammad N Taheri 1,2,3, Sarah Akhlaghi 1,2, Armin Aryannejad 1,2, Yuda Xiang 1,6, Vineet Mahajan 1,2, Kamyar Keshavarz 1,2,3, Amirreza Kiani 4,7, Samuel LoPresti 5, Ryan LeGraw 1,2, Kathryn A Whitehead 5, Samira Kiani 1,2,3,7,8,*
PMCID: PMC11888353  PMID: 40060445

Abstract

Temporal transcriptional modulation of immune-related genes offers powerful therapeutic potential for treating inflammatory diseases. Here, we introduce an enhanced zinc finger (ZF)-based transcriptional repressor delivered via lipid nanoparticles for controlling immune signaling pathways in vivo. By targeting Myd88, an essential adaptor molecule involved in immunity, our system demonstrates therapeutic efficacy against septicemia in C57BL/6J mice and improves repeated AAV administration by reducing antibody responses. This epigenetic engineering approach provides a platform for safe and efficient immunomodulation applicable across diseases caused by imbalanced inflammatory responses.

Introduction

Overactive immune responses pose significant challenges in various inflammatory diseases, often leading to severe tissue damage, organ dysfunction, and mortality1. This phenomenon, termed “cytokine storm”, manifests through uncontrolled release of pro-inflammatory mediators and has been implicated in conditions ranging from acute respiratory distress syndrome (ARDS) to sepsis2,3. Current therapeutic approaches rely largely on broad-spectrum immunosuppressants, which can leave patients vulnerable to opportunistic infections and lead to significant adverse effects47.

Beyond acute inflammatory conditions, immune responses hamper the success of gene therapies, particularly for those exploiting adeno-associated virus (AAV) delivery8. Pre-existing humoral immunity against AAV excludes many patients from trials and compromises treatment outcomes9,10. Several factors influence viral vector immunogenicity, including capsid serotype, vector DNA, target tissue inflammatory state, and host immunity status11,12. While various strategies attempt to regulate immune responses against AAV vectors, existing approaches face limitations in overcoming pre-existing immunity and enabling vector redosing1316.

Myd88, an essential adaptor for Toll-like receptors (TLRs) and upstream regulator of NF-κB signaling, represents a promising target for addressing both hyperinflammatory conditions and gene therapy challenges17. MyD88 signaling has been directly implicated in forming immune responses against AAV capsid, which leads to loss of transgene expression and limits effective administration of the virus18. Furthermore, MyD88 signaling is essential for survival against viral infections, making it an attractive target for modulating both innate and adaptive immunity to viral vectors19. Traditional approaches for targeting Myd88, such as small molecule inhibitors, have been explored but suffer from lack of specificity and proper tissue penetrance in vivo20,21.

While our previous work demonstrated that CRISPR-based epigenetic downregulation of Myd88 delivered via AAVs can effectively dampen immune responses22, this approach faces limitations including potential immunogenicity of CRISPR and AAV components, lack of transient control, and challenges in scalability. To address these challenges, we introduce a novel method for synthetic immunomodulation using mRNA-based zinc finger transcriptional repression targeting Myd88. Our strategy involves zinc finger directed epigenetic modulation, allowing precise and reversible control over gene expression. Zinc finger proteins offer several advantages over other epigenetic-editing technologies, including low immunogenicity, smaller size for easier packaging and delivery, and high DNA binding specificity23,24. To avoid complexities associated with viral vehicles, we deliver the zinc finger-based epigenetic repressor mRNA via lipid nanoparticles (LNPs), providing an attractive platform for achieving transient gene regulation while offering potential for scale-up25.

Results and Discussion

Zinc finger-mediated repression with HP1a-KRAB efficiently downregulates Myd88 in vitro.

In our previous studies, we established CRISPR-based epigenetic repressors using two methods: the direct fusion of modulatory elements to a catalytically inactive Cas9, and an indirect approach utilizing aptamers to guide MS2-fused transcriptional repressors to the CRISPR complex22,26. Building upon our prior findings, we sought to develop a zinc finger (ZF)-tethered Myd88-targeting repressor with enhanced efficacy and specificity. We designed a panel of 16 zinc finger sequences targeting various regions of the Myd88 promoter and evaluated their repressive capacity when fused to HP1a-KRAB. Through systematic screening in mouse neuroblastoma (N2A) cells and quantitative real-time polymerase chain reaction (qRT-PCR), we identified zinc finger-effector 11 (ZFR11) as the most potent repressor of Myd88 expression (Supplementary Fig. 1A, B).

We compared the functionality of ZFR11 to our previously optimized CRISPR-based system, which utilizes a 14-nucleotide truncated guide RNA, Cas9 nuclease, and MS2-HP1a-KRAB. qRT-PCR analysis revealed that ZFR11 achieved Myd88 repression comparable to that achieved with an enhanced aptamer-mediated CRISPR repressor (Supplementary Fig. 1C). These findings reveal the in vitro functionality of the ZFR11 and underscore its potential as a highly efficient tool for modulating Myd88 expression, offering an alternative to CRISPR-based approaches with enhanced safety profiles and greater flexibility in delivery methods.

306O10 LNP-mediated delivery enables effective transfection of diverse immune cell populations in vitro and in vivo.

To enhance the efficiency of Myd88 repression and enable transient immunomodulation, we constructed epigenetic modulators in form of mRNA (in vitro-transcribed), which were subsequently delivered into diverse cells via LNPs. LNP-mediated mRNA delivery provides several advantages over viral and other non-viral deliveries—most importantly, RNAs are biodegradable and short-lived, thus allowing temporary expression and circumventing genome integration25,27. Compared to viral vectors, lipid-mediated delivery is superior in terms of larger payload capacity and ease of preparation in addition to its lower immunogenicity and toxicity and higher safety profiles28,29. Extensive literature has documented the therapeutic potential of LNP-mediated delivery platforms in immunotherapy3032. After screening a library of ionizable LNPs, we identified 306O10 as a promising candidate based on its previously demonstrated efficacy in mRNA-based immunotherapy and CRISPR/Cas9 delivery3337. 306O10 LNPs demonstrated lower immunogenicity compared to other formulations and exhibited tropism towards immune cell populations in the spleen and liver, key sites for modulating systemic immune responses38.

Initial in vitro studies in RAW 264.7 macrophages confirmed efficient 306O10-mediated mRNA delivery, evidenced by robust mCherry expression 24 hours post-transfection (Supplementary Fig. 2A). To assess in vivo performance and biodistribution, we administered GFP mRNA-loaded particles to C57BL/6 mice via retro-orbital (RO) or tail vein (TV) injection (Supplementary Fig. 2B). Four hours following LNP delivery, we collected lung, liver, and spleen and assessed the transcript levels of GFP. Quantitative RT-PCR analysis revealed widespread GFP mRNA distribution across lung, liver, and spleen tissues, with the RO route yielding the highest transfection efficiency (Supplementary Fig. 2C).

Previous studies have characterized the tropism of 306O10 in placental tissue, demonstrating broad distribution across diverse immune and non-immune cell populations39. To elucidate the cell type-specific biodistribution of 306O10 LNPs, we investigated the cellular uptake patterns within liver and spleen.

To assess cellular targeting in the liver, we evaluated GFP-306O10 uptake in primary cultures of liver sinusoidal endothelial cells (LSECs), Kupffer cells, and hepatocytes. Quantitative RT-PCR analysis of GFP transcript levels at 48 hours post-transfection revealed substantial uptake in LSECs, Kupffer cells, and hepatocytes (Supplementary Fig. 2D).

To characterize the immunological targeting profile of 306O10 in spleen, we employed the experimental design outlined in Supplementary Fig. 2E. GFP mRNA-encapsulated LNPs were administered via intravenous injection to C57BL/6J mice. Spleen tissues were harvested 4 hours post-administration for subsequent immune cell isolation and quantitative analyses. Magnetic-activated cell sorting (MACS) was employed to isolate CD19+, CD11c+ and CD11c populations from the harvested tissues. The level of LNP uptake within each sorted immune subset was then quantified by qRT-PCR measurement of GFP mRNA (Supplementary Fig. 2F). These findings highlight the versatility of 306O10 LNPs in targeting diverse immune cell populations, a critical feature for immunomodulatory applications.

ZF-based repression of the Myd88 locus achieves efficient immunomodulation under both homeostatic and LPS-induced inflammatory conditions.

Having validated our ZF-based repressor in vitro and optimized its delivery via 306O10 LNPs, we set out to determine whether systemic administration of ZFR11–306O10 could effectively repress endogenous Myd88 expression in wild-type C57BL/6 mice. To test this, an experiment was devised as illustrated in Supplementary Fig. 3A. Mice received a single intravenous injection of either ZFR11-mCherry-306O10 or control groups (receiving mCherry-306O10 or no LNP/PBS). Six hours post-administration, euthanasia was performed, and blood, lung, and spleen were harvested for RT-qPCR measurement of Myd88 mRNA levels. We observed Myd88 repression in ZFR11-mCherry-306O10 treatment group across multiple tissues, with transcript levels reduced by 50% in the spleen, 46% in blood, and 16% in lung compared to mCherry-306O10 controls (Supplementary Fig. 3B). Additionally, Myd88 repression was accompanied by a concomitant downregulation of key downstream inflammatory mediators, such as Icam-1, Tnf-α, Ncf, Il6, Ifn-α, Ifn-β, Ifn-γ, Il-1β, and Stat4 (Supplementary Fig. 3C).

We next investigated whether LNP-mediated delivery of the Myd88 repressor could modulate inflammatory responses in a lipopolysaccharide (LPS)-induced septicemia model, a clinically relevant system manifesting elevated Myd88 expression4042. This acute inflammatory condition is particularly relevant for evaluating Myd88-targeted interventions, as septicemia remains a significant global health burden with limited therapeutic options due to its complex pathophysiology involving dysregulated inflammatory cascade43,44

C57BL/6 mice received intraperitoneal injection of LPS followed by intravenous administration of ZFR11–306O10 two hours later (Fig. 1A). Remarkably, 24 hours post-LNP treatment, we observed robust Myd88 repression in blood (79%), lung (58%), and liver (22%) compared to PBS-treated controls (Fig. 1B). This repression effectively prevented the LPS-induced upregulation of multiple inflammatory mediators downstream of Myd88 signaling, including Icam-1, Tnf-α, Ncf, Il6, Ifn-α, Ifn-β, Ifn-γ, and Stat4 (Fig. 1CE). Analysis of plasma cytokine concentrations by quantitative chemiluminescent ELISA revealed a trend towards lower level of cytokines in Myd88-repressed mice and further corroborated the anti-inflammatory effects of ZF-based Myd88 repression (Fig. 1F). Collectively, these results demonstrate that LNP-mediated delivery of ZFR11 can effectively modulate Myd88 expression under both homeostatic and inflammatory conditions, establishing proof-of-concept for this synthetic biology approach to immunomodulation.

Figure 1.

Figure 1.

Delivery of lipid nanoparticles carrying mRNA encoding Myd88-targeting zinc finger enables immunomodulation during LPS-induced inflammation. (A) Schematic representation of experimental design. C57BL/6 mice received intraperitoneal injection of LPS (2.5 mg kg−1) followed by tail vein administration of either ZFR11–306O10 or no LNP/PBS (control) 2 hours later. Tissues were collected 24 hours post-LNP administration. (B) qRT-PCR analysis of Myd88 expression in blood, lung, and liver tissues following LPS challenge and zinc finger-mediated repression (N = 6 mice for ZFR11–306O10 group, N = 3 for PBS control group). Data are presented as mean + s.e.m. (C) qRT-PCR analysis of inflammatory gene expression (Ifn-α, Ifn-β, Ifn-γ, Icam-1, Ncf, Tnf-a, Il-1β, and Stat4) in lung. Expression levels were normalized to PBS-treated control mice (N = 6 for ZFR11–306O10 group, N = 3 for PBS group). Data are presented as mean + s.e.m. (D) qRT-PCR analysis of inflammatory gene expression (Tnf-a, Icam-1, Il-1β, and Ncf) in blood. Expression levels were normalized to PBS-treated control mice (N = 6 for ZFR11–306O10 group, N = 3 for PBS group). Data are presented as mean + s.e.m. (E) qRT-PCR analysis of inflammatory gene expression (Ifn-α, Ifn-β, Il6, Icam-1, Il-1β, and Ncf) in liver. Expression levels were normalized to PBS-treated control mice (N = 6 for ZFR11–306O10 group, N = 3 for PBS group). Data are presented as mean + s.e.m. (F) Measurement of a panel of inflammatory cytokines in plasma using a multiplex-ELISA assay; values are displayed in the heatmap as relative measured concentration (pg/mL) compared to PBS-treated control mice. : IFNγ (N = 2 per group), IL2 (N = 3 for ZFR11–306O10, N = 2 for PBS), MIP-1a (N = 3 for ZFR11–306O10, N = 2 for PBS), IL-1a (N = 3 for ZFR11–306O10, N = 2 for PBS), and IL-6 (N = 3 for ZFR11–306O10, N = 2 for PBS). IFNγ, interferon gamma; IL, interleukin;; MIP, macrophage inflammatory protein. Statistical analysis was performed using the unpaired parametric t-test. * P ≤ 0.05 was considered statistically significant.

ZFR11 functions as an anti-adjuvant to modulate AAV-directed humoral immunity and enhance the efficiency of viral-based gene delivery.

To mount an effective adaptive immune response, antigen-presenting cells must activate T cells through both antigen presentation and co-stimulatory signals at the immunological synapse. This principle is leveraged in vaccines through the use of adjuvants, which enhance immune activation. A critical component of these stimulating signals includes inflammatory cytokines, whose production is regulated by NF-κB signaling, with Myd88 serving as a key upstream mediator. We predicted that selective Myd88 repression during antigen exposure could function as an ‘anti-adjuvant,’ attenuating inflammation at the immunological synapse and preventing immune activation. We therefore investigated whether our Myd88 repressor could regulate humoral adaptive immunity against AAV vectors in pre-immunized hosts, addressing a major challenge in AAV-based gene therapy re-dosing. This anti-adjuvant approach has shown promise in various therapeutic applications, including allergy immunotherapy, transplant tolerance, and autoimmune disease treatment4548.

To investigate the effect of Myd88 repression in hosts with pre-existing anti-AAV antibodies, we established an AAV2-pre-exposed mouse model (Figure 2A) using AAV2, an FDA-approved gene therapy vector. C57BL/6J mice received two retro-orbital (RO) injections of AAV2-GFP to induce pre-existing immunity. We developed a reverse vaccination strategy using LNP-306O10-encapsulated mRNA encoding three key components: ZFR11 Myd88 suppressor (anti-adjuvant), VP1 (AAV2 capsid antigen), and mCherry (gene therapy cargo). Mice were divided into three groups (N = 10 per group) receiving four weekly doses of either: ZFR11-VP1-mCherry (group 1), VP1 alone (group 2), or PBS control (group 3). Two weeks after the final vaccination, all mice received a single intravenous co-injection of AAV2-mCherry and ZFR11–306O10. Analysis was performed three weeks post-AAV2-mCherry challenge, followed by collection of blood and tissue samples for downstream processing. We first assessed whether vaccination with Myd88 repressor could influence the efficiency of AAV-mediated transgene delivery mimicking clinical scenarios requiring therapeutic gene delivery in AAV pre-exposed populations. Quantitative RT-qPCR analysis identified significantly elevated mCherry (AAV cargo transgene) transcript levels in lung tissues of the mice receiving ZFR11-VP1-mCherry and VP1 vaccinations compared to control group receiving PBS alone (~100-fold and ~150-fold, respectively) (Fig. 2B). A similar trend was observed in the liver, albeit with more modest increases (~1.6-fold and ~2-fold, respectively). In agreement with earlier qRT-PCR results, quantification of the non-fluorescent IHC images confirmed a ~3-fold higher mCherry protein expression in liver sections from ZFR11-VP1-mCherry-vaccinated mice versus PBS control (Fig. 2C).

Figure 2.

Figure 2.

Co-delivery of Myd88 repressor ZFR11 and gene therapy related antigen modulates humoral immunity in AAV pre-immunized mice. (A) Schematic representation of experimental design. C57BL/6J mice received two retro-orbital injections of AAV2-GFP (5 × 1011 GC) two weeks apart. Two weeks later, mice were administered weekly doses of LNP-encapsulated mRNA (0.7 mg kg-1) encoding either ZFR11-VP1-mCherry (N = 10), VP1 only (N = 10), or no LNP/PBS control (N = 6) for four weeks. Two weeks after the final vaccination, mice received a single intravenous co-injection of AAV2-mCherry (5 × 1011 GC) and ZFR11-LNP (0.7 mg kg-1). Analyses were performed three weeks post-AAV2 challenge. (B) qRT-PCR analysis of mCherry expression in liver and lung tissues (N = 8–10 mice per treatment group, N = 6 for PBS). Data are presented as mean + s.e.m. Statistical analysis was performed using one-way ANOVA followed by Dunnett’s multiple comparisons test. *P ≤ 0.05 was considered statistically significant (C) Left: Representative immunohistochemical staining for mCherry in liver sections. Right: Quantification of mCherry staining intensity (ZFR11-VP1-mCherry-306O10: N = 9, PBS: N = 5, staining negative control/mCherry uninjected: N = 2). Data are presented as mean + s.e.m. Statistical analysis was performed using one-way ANOVA followed by Dunnett’s multiple comparisons test. *P ≤ 0.05 was considered statistically significant. (D) ELISA measurement of plasma anti-AAV2 total IgG and IgG2b levels. Results shown as fold change in optical density at day 35 (two weeks post-vaccination) relative to day 0 (pre-vaccination baseline) (N = 9–10 per treatment group, N = 6 for PBS). Statistical analysis was performed using one-way ANOVA followed by Dunnett’s multiple comparisons test. *P ≤ 0.05 was considered significant. (E) ELISA measurement of serum anti-AAV2 neutralizing antibody levels showing a 32% reduction in the ZFR11-VP1-mCherry group compared to VP1 control at day 35 (two weeks post-vaccination) relative to day 0 (pre-vaccination baseline) (N = 9–10 mice per treatment group, N = 6 mice for PBS). Statistical analysis was performed using the unpaired parametric t-test. *P ≤ 0.05 was considered significant. (F) Time-point analysis of plasma total IgG, IgG2b, and neutralizing antibodies titers in Relative Light Units (RLU) at day 0 (pre-vaccination baseline), day 35 (two weeks post-vaccination), and day 45 (10 days after AAV2-mCherry rechallenge) (N = 9–10 per treatment group).

Next, we investigated whether treatment with ZFR11-VP1-mCherry-306O10 LNPs could attenuate AAV-specific humoral responses by measuring both immunoglobulin G (IgG) levels and neutralizing antibody titers. To assess humoral immunity, we quantified anti-AAV2 IgG and IgG2b levels in plasma samples by enzyme-linked immunosorbent assay (ELISA). We observed that ZFR11-VP1-mCherry treatment significantly reduced anti-AAV2 IgG2b levels by 58% compared to VP1 controls before (day 0) and after vaccination (day 35) (Fig. 2D). This group also showed a trend toward lower IgG responses, with levels 18% below VP1 controls (Fig. 2D). Additionally, neutralizing antibody levels were reduced by 32% in ZFR11-VP1-mCherry vaccinated animals compared to VP1 controls before (day 0) and after vaccination (day 35) (Fig. 2E). While vaccination with ZFR11-VP1-mCherry initially reduced IgG2b and neutralizing antibody levels (comparing days 28 and 63, before and after vaccination), this tolerance effect was transient. AAV2-mCherry rechallenge at two weeks post-injection (day 73) restored these levels to those observed after initial AAV2-GFP administration (Fig. 2F). Notably, the therapeutic intervention prevented further upregulation beyond baseline, representing this strategy’s efficacy in maintaining stable antibody responses [44]. These results underscore the immunomodulatory effects of ZFR11-VP1-mCherry as an anti-inflammatory agent, suggesting its capacity to modify established immune responses even in the context of pre-existing immunity, though further optimization of dose, timing, and frequency is needed (Figure 2F).

Discussion

Our work establishes a novel epigenetic editor for targeted immunomodulation using zinc finger-based transcriptional repressors delivered via lipid nanoparticles. Exploiting this modality, we demonstrated efficient repression of endogenous Myd88 both in vitro and in vivo, effectively dampening inflammatory responses during LPS-induced model of septicemia and enhancing outcomes in AAV gene therapy applications (Fig. 3). This strategy addresses key limitations of current immunomodulatory approaches by providing precise transient control over immune responses.

Figure 3.

Figure 3.

Schematic representation of the dual therapeutic applications of Myd88-targeting ZFR11. The lipid nanoparticle-mediated delivery of ZFR11-HP1a-KRAB mRNA enables two distinct therapeutic approaches: (i) Myd88 repression alone acts as an anti-inflammatory agent, a more targeted immunosuppressant, to modulate systemic inflammation in conditions such as septicemia, and (i+ii) co-delivery with antigen-encoding mRNA (e.g., AAV2 VP1) in an immunosilent formulation serves as a reverse-vaccine strategy to induce antigen-specific immune tolerance. Following endocytosis and endosomal escape, the modified mRNA is translated to produce either ZFR11 alone or in combination with the target antigen (VP1). ZFR11-HP1a-KRAB localizes to the nucleus where it binds the Myd88 promoter region to facilitate epigenetic repression. When delivered alone (i), this leads to targeted immunomodulation through reduced inflammatory signaling. When co-delivered with antigen (i+ii), the combination of Myd88 repression and antigen presentation promotes the development of antigen-specific tolerance, as demonstrated by enhanced AAV2 vector readministration capacity.

Our approach, which uses an effective LNP delivery system to deliver zinc finger repressor-encoding mRNAs, represents a significant advance over existing methods. Unlike viral vectors or small molecule inhibitors, our work combines the specificity of zinc finger proteins with the versatility of 306O10 lipid nanoparticles to enable transient targeting of immune cell populations for short-term immunomodulation38,39. The scalability and relatively straightforward manufacturing process of our LNP-based delivery system provides advantages for clinical translation. Whereas viral vectors often face production challenges, LNP-based therapeutics can be manufactured using well-established processes.

Our data demonstrate two distinct therapeutic applications of this platform. In the context of acute inflammation, ZFR11-mediated Myd88 repression effectively prevents the cascade of inflammatory signaling typically associated with septicemia. This suggests potential applications in treating various inflammatory conditions where precise, temporary immune suppression is desired.

In the context of AAV gene therapy, our findings usher in a new era for mitigating pre-existing immunity. The ability to temporarily suppress anti-AAV antibody production through Myd88 repression provides a viable solution to one of the field’s most significant challenges. While the effect is transient, the window of reduced immunity could be sufficient to enable successful vector readministration.

Future therapeutic applications of this platform may benefit from several potential optimizations. Alternative dosing schedules, modified LNP formulations, or combinations with existing immunomodulatory approaches could extend the duration of effect. Additionally, the modular nature of our system allows for targeting of other immune regulators beyond Myd88, potentially enabling treatment of diverse immunological conditions. Further investigations can unveil the mechanisms underlying the observed immunomodulatory effects and explore applications across different disease models to determine the broader utility of this epigenetic engineering platform.

In conclusion, our findings highlight the potential of combining precisely tuned gene control modalities with enhanced mRNA delivery strategies to address diseases characterized by dysregulated inflammatory pathways. Our study opens new possibilities for achieving precise, safe, and effective modulation of immune responses across a broad spectrum of diseases.

Methods

Zinc Finger Myd88 repressor fusion DNA constructs.

A panel of 16 zinc finger (ZF)-based transcriptional repressors targeting the Myd88 promoter was designed and constructed through a multi-step cloning process. First, the repressive domains (HP1a and KRAB) were PCR-amplified from previously constructed vectors described in our earlier work22. These domains were then fused via overlap extension PCR to generate the HP1a-KRAB DNA fragment. The resulting fragment was inserted into an L1L2 entry backbone using BsaI-based Golden Gate cloning (NEBridge Golden Gate Assembly Kit, Cat. No. E1601S). A library of 16 distinct zinc finger DNA fragments, each targeting different regions of the Myd88 promoter, was then cloned upstream of the HP1a-KRAB using In-Fusion cloning technology (Takara Bio’s In-Fusion Snap Assembly Master Mix, Cat. No. 638948).The final expression constructs were assembled through a three-fragment Gateway recombination reaction (ThermoFisher Scientific, Cat. No. 12538120) utilizing L4R1-CAG (promoter), L1L2-ZF-HP1a-KRAB (repressor), and R1R2-LVGTW3 (terminator) constructs. This approach generated 16 distinct ZF repressor DNA constructs. Complete sequences of all zinc finger arrays and the ZFR1-HP1a-Krab fusion DNA fragment are provided in Supplementary Table 1.

Optimization of ZF-based Myd88 Repressor for enhanced efficacy and reduced immunogenicity.

To maximize the therapeutic potential of our ZF-based Myd88 repressor while minimizing undesired immune responses, we implemented a series of strategic design optimizations. These modifications encompassed both the mRNA component and the choice of epigenetic modulator. For the mRNA component, we incorporated N1-methyl pseudouridine nucleoside modifications and employed a uridine depletion strategy. N1-methyl pseudouridine has been shown to enhance mRNA stability and reduce recognition by pattern recognition receptors, thereby attenuating innate immune activation4952. Uridine depletion further contributes to reduced immunogenicity by minimizing uridine-rich sequences that can trigger Toll-like receptor activation53.

We also optimized the nucleic acid sequence for mammalian codon usage, a strategy that has been demonstrated to improve translational efficiency and potentially reduce immunogenicity by mimicking endogenous mRNA characteristics54,55. To eliminate double-stranded RNA (dsRNA) contaminants, which are potent activators of innate immune responses, we employed a cellulose-based dsRNA removal process in our mRNA preparation protocol56,57.

The selection of zinc finger proteins as our epigenetic modulator was informed by their favorable immunological profile and structural characteristics. Compared to other gene-editing technologies such as CRISPR-Cas9, zinc finger proteins exhibit lower immunogenicity and have a more compact structure, potentially facilitating delivery and reducing the likelihood of eliciting an immune response58.

These multifaceted optimizations were designed to synergistically enhance the efficacy of our ZF-based Myd88 repressor while minimizing its potential to trigger undesired immune responses, thereby improving its therapeutic index and translational potential.

mRNA and lipids.

The following mRNAs and reagents were used for nanoparticle formulation: CleanCap® modified mRNAs (encoding GFP, mCherry, ZFR11, and VP1) from TriLink Biotechnologies; Cholesterol from Sigma-Aldrich (catalog number C8667, ≥99% pure, extracted from sheep wool); and phospholipids from Avanti Polar Lipids including DOPS (sodium 1,2-dioleoyl-sn-glycero-3-phospho-L-serine, catalog number 840035P) and C14-PEG2000 (ammonium 1,2-dimyristoyl-sn-glycero-3-phosphoethanolamine-N-[methoxy(polyethylene glycol)-2000], catalog number 880150P).

Lipid Nanoparticle Formulation.

Lipid nanoparticles were prepared through a modification of the ethanol injection technique. The initial step involved dissolving the component lipids (lipidoids, helper lipids, cholesterol, and C14-PEG2000) in ethanol, with each component at 1–10 mg/mL concentration. These lipid components were combined at specific molar proportions: lipidoids (35), helper lipids (40), cholesterol (22.5), and PEG-lipid (2.5). This lipid solution was then combined with mRNA that had been prepared in 10 mM sodium citrate buffer (pH 3.0), maintaining a lipidoid to mRNA weight ratio of 10:1. Following particle formation, residual ethanol was removed by dialyzing the LNP suspension against PBS using Thermo Scientific cassettes with a 3 kDa molecular weight cutoff.

AAV vectors.

Cas9 plasmid was purchased from Addgene (AAV-CMVc-Cas9 #106431). mCherry construct was a premade AAV vector purchased from PackGene Biotech, (ssAAV-CAG-mCherry.WPRE.SV40pA, Cat. No. AAV-EA022).

AAV packaging and purification.

AAV plasmid integrity was verified through SmaI restriction enzyme digestion, specifically examining ITR regions. Following validation, these constructs served as templates for AAV2-Cas9 and AAV2-mCherry viral production by PackGene Biotech, LLC. Viral titers were determined using Real-time SYBR Green PCR against standard curves prepared from linearized parental AAV vectors, establishing concentrations of 1.5 × 1013 GC/ml.

Cell culture.

Neuro-2a cells (purchased from ATCC) were cultured at 37°C in a 5% CO2 environment. The culture medium consisted of Dulbecco’s modified Eagle’s medium (DMEM) purchased from Life Technologies supplemented with the following components: FBS (10%, Life Technologies), sodium pyruvate (1.0 mM, Life Technologies), glutamine (2 mM), and a streptomycin-penicillin antibiotic mixture (1%, Gibco).

Transfection of in vitro cultured cells.

For in vitro transfection studies, Neuro-2a cells we seeded in 24-well plates at a density of approximately 50,000 cells per well. The following day, transfection was using Lipofectamine LTX to deliver multiple plasmid components: Cas9 nuclease (50 ng), gRNA (10–100 ng), ZFR (150 ng), dCas9-HP1a-KRAB (100 ng), YFP for monitoring transfection efficiency (25 ng), and a puromycin resistance marker (50 ng). 24 hours following transfection, puromycin selection was done using 0.5 μg/ml concentration (Gibco-life tech)

Quantitative RT-PCR (qRT-PCR) analysis.

For RNA extraction, cell lysis was performed, and RNA was extracted using either Life Technologies’ Trizol or Qiagen’s RNAEasy Plus Mini Kit. The resulting RNA underwent reverse transcription to cDNA using Thermo Fisher’s High-Capacity RNA-to-cDNA Kit. Quantitative PCR analysis employed SYBR Green PCR Master Mix (Thermo Fisher), with 18S rRNA serving as the normalization standard. We calculated relative expression changes using the 2−ΔΔCt method, comparing against control group values. The complete list of primers used for quantitative PCR are in Supplementary Table 2.

Plasma biomarker analysis of liver function.

The isolation of plasma from blood samples was achieved by centrifugation, performed for 10 minutes at 2,000 × g while maintaining 4°C temperature. Plasma bile acids and alanine aminotransferase (ALT) levels were analyzed by IDEXX Laboratories (IDEXX Reference Laboratories, USA). Analysis was performed using the IDEXX Catalyst chemistry analyzer system. Total bile acids were measured through an enzymatic cycling reaction utilizing 3α-hydroxysteroid dehydrogenase (reported in μmol/L). ALT activity was determined via a coupled enzymatic assay monitoring the rate of NADH oxidation spectrophotometrically (reported in IU/L). All assays were performed with appropriate calibration controls following manufacturer’s validated protocols.

ELISA-based chemiluminescent assay for plasma cytokine analysis.

Multiplexed analysis of plasma cytokines was conducted at the UPMC Cancer Proteomics Facility: Luminex Core Laboratory using two magnetic bead-based immunoassay panels. A Mouse High Sensitivity T Cell 8-plex kit (MHSTCMAG-70K-08, Millipore) was used to measure IL-6, IL-4, IL-2, IL-1β, IL-1α, IL-17A, IL-10, and IFN-γ from 60 μL plasma samples. MIP-1α levels were determined using the Mouse Cytokine MAGNETIC Panel 1 (MCYTOMAG-70K-01) from 35 μL plasma samples. All samples were analyzed in duplicate following manufacturer’s protocols. Briefly, samples and calibrators were incubated with analyte-specific antibody-conjugated magnetic beads in 96-well plates. After washing, biotinylated detection antibodies were added followed by streptavidin-horseradish peroxidase. Bead fluorescence was measured using a Luminex analyzer and cytokine concentrations were calculated against standard curves using xPONENT software.

IFN-γ ELISPOT Assay.

IFN-γ ELISPOT assays were performed by the Immunology Core at the Gene Therapy Program, Perelman School of Medicine, University of Pennsylvania. Briefly, AAV2 capsid peptide library (Mimotopes, Victoria, Australia) consisting of 145 peptides was synthesized as 15-mers with 10 amino acid overlap. The library was subdivided into three peptide pools (A, B, and C) at approximately 2 mg/mL per peptide. Cryopreserved mouse splenocytes were analyzed for T-cell responses to AAV2 capsid using murine IFN-γ ELISPOT. Assay wells were stimulated with DMSO (negative control), individual AAV2 capsid peptide pools, and PMA/ION (positive control). For individual peptide pools and DMSO control, 2.0 × 105 cells were plated per well, with data calculated and presented as spot forming units (SFU) per million cells. For the PMA/ION positive control, 2.0 × 103 cells were plated per well. All samples were run in duplicate. A response was considered positive if it met both criteria: average value ≥ 26 SFU/million cells and at least three times greater than the DMSO negative control value. ELISPOT data were analyzed using a CTL Immunospot S6 Core Analyzer.

Anti-AAV2 Antibody Assays.

Anti-AAV2 antibodies were quantified utilizing both in vitro neutralization and ELISA assays at the Gene Therapy Program’s Immunology Core facility at the University of Pennsylvania’s Perelman School of Medicine (Philadelphia, PA).

IgG and IgG2B ELISA.

The immunoassay utilized Nunc maxisorp plates (Thermo Fisher Scientific, Waltham, MA) with an initial AAV2 particle coating step (2 × 1010 particles per mL in carbonate buffer, pH 9.6) performed overnight at 4°C. Standard curves were generated using Sigma-Aldrich (St. Louis, MO) purified immunoglobulins (IgG and IgG2B) in serial dilutions. Following a room temperature blocking step (1 hour) with PBS containing 2% BSA and 0.05% Tween-20, we applied diluted plasma samples in duplicate wells for a 3-hour room temperature incubation. Detection employed two horseradish peroxidase (HRP)-conjugated secondary antibodies from Southern Biotech: anti-mouse IgG-HRP (1:20,000) and anti-mouse IgG2B-HRP (1:10,000). After incubating at 37°C for 1 hour and washing, we developed the plates using SIGMAFASTTM OPD substrate (Sigma-Aldrich) according to manufacturer specifications, with absorbance readings taken at 492 nm.

Neutralizing Antibody Assay.

Anti-AAV2 neutralizing antibody levels were evaluated in selected plasma specimens using a cell-based in vitro approach. The protocol starts with seeding HEK293 cells (1×105 cells/well) into 96-well plates, allowing 24 hours for attachment. Test samples were then prepared by heat inactivation followed by serial dilution, combining them with luciferase-expressing AAV2 vector (1×104 viral particles/cell) for a 1-hour incubation at 37°C. This mixture was introduced to the cells for a 24-hour incubation period. Using the Galacto-Star System (Applied Biosystems), luciferase activity was measured. The neutralizing antibody titer was defined as the maximum sample dilution that achieved at least 50% reduction in luciferase expression compared to controls without inhibition. For reference, a 1:10 neutralizing antibody titer indicates that a sample diluted ten-fold exhibits a luciferase signal below 50% of the non-inhibition control value.

Animals.

Our animal research protocols adhered to established laboratory animal care and usage guidelines, with full approval from the University of Pittsburgh’s Institutional Animal Care and Use Committee (IACUC). All experiments followed institutional protocols and included both male and female C57BL/6 mice (purchased from JAX, Stock #000664) aged 6–8 weeks. Each experimental group contained a minimum of three animals, with precise group sizes documented in the corresponding figure legends. C57BL/6 mouse strain was utilized for both AAV LPS and experiments.

Retro-orbital injections.

For administration of AAV particles, the retro-orbital route targeting the venous sinus was selected. Mice were anesthetized using isoflurane at 3% concentration. 100 microliters of AAV solution, containing between 1 × 1011 and 1 × 1012 genome copies per animal, was injected into each mouse’s left eye.

Tissue harvest.

Using CO2 inhalation for euthanasia, tissue samples were collected from multiple organs - liver, spleen, lung, and bone marrow - as well as blood samples. Each tissue sample was immediately placed in RLT Plus buffer from Qiagen, followed by preservation through snap freezing methods for later RNA extraction and analysis.

In vivo LPS Administration.

Escherichia coli strain 0127: B8 derived lipopolysaccharides were administered via intraperitoneal (i.p.) route (LPS purchased from Sigma-Aldrich, St. Louis, MO, USA). The LPS was prepared as a 2.5 mg/ml solution in PBS. At 26 hours following LPS administration (as depicted in the experimental timeline schematics), animals were euthanized using CO2 inhalation.

Statistical analysis and reproducibility.

All in vitro experiments were conducted in triplicate, with consistency observed across replicates. For animal studies, a minimum of three biological replicates were performed, yielding reproducible results. The assignment of mice to experimental or control groups was performed randomly, though experimenters were not blinded during data acquisition or analysis. Data are presented as the mean + s.e.m. The variable N denotes either the number of individual transfections (for in vitro work) or the number of animals (for in vivo studies). Statistical analyses were performed using GraphPad’s Prism 10 Software, which are detailed within figure legends. When comparing two groups for statistical significance, two-tailed unpaired t-tests was employed, while multiple group analyses was performed by one-way ANOVA with Dunnett’s multiple comparisons test. *P ≤ 0.05 was considered significant (with additional thresholds at **P ≤ 0.01, ***P ≤ 0.001, ****P ≤ 0.0001).

Supplementary Material

1

Acknowledgements.

This work was supported by sponsored research agreements from the Cystic Fibrosis Foundation through Genexgen Inc. Additional funding was provided by the National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health under award number R01EB024562, the National Institutes of Health award number DP2-HD098860, and a Startup fund from the Department of Pathology. We gratefully acknowledge Dr. Mo Ebrahimkhani for his valuable guidance and support throughout this project. This study utilized the UPMC Cancer Proteomics Facility: Luminex Core Laboratory, with special thanks to Denise Prosser. We thank Dr. Jessica A. Chichester, Director of the Immunology Core, Gene Therapy Program, Perelman School of Medicine, University of Pennsylvania, for conducting the neutralizing antibody and ELISPOT assays. We also acknowledge Miles Stampo and Amanda Christina Fisher Mihalik at the Division of Laboratory Animal Resources (DLAR) Veterinary Services, University of Pittsburgh, for their support with animal studies. Biorender was used to create several of the schematics shown in this work.

Footnotes

Competing interests

S.K. is a co-founder of Genexgen Inc. and HeXembio Inc. S.K. and T.M. have filed patent applications for the technology presented in this study. K.A.W. is an inventor on US patents 9,227,917 (2016) and 9.439,968 (2016) related to the materials described here and is a consultant for numerous companies that work with lipid nanoparticle technology.

Data Availability.

The raw and processed data supporting the findings of this study are available from the corresponding author subject upon reasonable request. All materials are available upon completion of a material transfer agreement.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

1

Data Availability Statement

The raw and processed data supporting the findings of this study are available from the corresponding author subject upon reasonable request. All materials are available upon completion of a material transfer agreement.


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