Biology subjects

Zheng, M.

Publications and source records attributed to Zheng, M..

At least 19 recordsLinked to original sources

bioRxiv2026

Topographical features enhance DNA tetrahedron biostability

Stabilization of nucleic acid-based systems is critical for their clinical translation in biomedical applications. Here, we integrated hairpins within the edges of a DNA tetrahedron and studied the stabilization induced by these motifs against nucleases. We show that nuclease resistance of DNA tetrahedra increased with the number of hairpins in the structure, this biostability enhancement is specific to the sequences within the hairpin. Our study provides a new design approach to create nucleic acid nanostructures with inherent biostability.

bioengineering↗

bioRxiv2026

DNA:RNA hybrid mutational landscapes reveal a common route to geneticinstability in evolving genomes

Pervasive DNA:RNA hybrids are recognized as pathological sources of genome instability, yet how their genotoxicity shapes mutational landscapes and genome evolution remains poorly understood. Here, we define the mutational footprint of hybrids by integrating genome-wide mapping, long-term mutation accumulation experiments, and analyses of genetic diversity across thousands of natural yeast genomes. We uncover signatures for embedded ribonucleotides and genic R-loops, together with a composite mutational pattern shared across natural populations and experimental evolution. Using reporters designed to dissect the mechanisms underlying genetic alterations, we find that they arise primarily from targeting by MutL{gamma}-dependent mismatch repair followed by Rad52-mediated recombination. Although hybrids form dynamically across the genome, their genotoxicity is strongly skewed toward repetitive regions susceptible to these error-prone pathways, including microsatellites and retroelements. Our findings reveal a common mechanism of hybrid-associated mutagenesis that can shape genetic variation in evolving genomes.

molecular biology↗

bioRxiv2026

Glucocorticoid receptor activation reorganizes Wnt/LEF1 regulatory circuitry associated with therapeutic response in B-cell acute lymphoblastic leukemia

Glucocorticoids (GCs) are foundational to B-cell acute lymphoblastic leukemia (B-ALL) therapy, yet how glucocorticoid receptor (GR) activation interacts with lineage regulatory circuitry to shape therapeutic response remains incompletely understood. Using LEF1 to interrogate canonical Wnt regulatory circuitry, we show that GR activation reorganizes GR+LEF1 elements into recruitment, retention, and dissociation states. LEF1 dissociates from Wnt-responsive regulatory elements while being recruited to GRE-rich GR-associated elements that progressively acquire chromatin accessibility, H3K27ac, BRD4 and BRG1. RUNX1 and AP-1 show class-dependent redistribution across LEF1-defined states, extending organization beyond LEF1. GR+LEF1 reorganization is observed in patient-derived B-ALL. GR+LEF1 elements lose accessibility in GC-resistant B-ALL and during diagnosis-to-relapse evolution, with recruitment elements enriched for remodeling. Perturbation of resistance-associated GR+LEF1 elements at BIM and BMF alters GC-induced apoptotic signaling. Together, these findings identify Wnt/LEF1 circuitry as an interface through which therapeutic GR activation reorganizes the B-ALL regulatory landscape into states associated with glucocorticoid response and resistance.

cancer biology↗

bioRxiv2026

Geometry-dependent mRNA delivery with programmable RNA-DNA nanostructures

Efficient intracellular delivery of neoantigen-encoded mRNAs is central to the development of effective cancer vaccines and immunotherapies. However, how the nanoscale geometry of delivery carriers impacts mRNA delivery remains poorly understood, largely because conventional delivery platforms do not readily permit systematic variation of carrier architecture while maintaining comparable chemical composition. Here, we develop a modular RNA-DNA hybrid nanoplatform that enables controlled investigation of geometry-dependent mRNA delivery. Guided by a unified design principle, we construct a series of two- and three-dimensional nanostructures with programmable architectures and systematically compare their delivery performance using consistent functional readouts. We further investigate how mRNA embedding strategies and aptamer-mediated functionalization influence intracellular delivery efficiency. By providing precise control over carrier geometry, this platform establishes a framework for elucidating structure-function relationships in mRNA delivery and offers a versatile strategy for engineering targeted nucleic acid delivery systems.

bioengineering↗

bioRxiv2026

MG2Act: A Mechanism-Inspired Sequential Attention Framework for Molecular Glue Degradation Prediction

Molecular glue degraders act by inducing productive proximity between an E3 ligase and a substrate protein. For most characterized degradative glues, a small molecule first engages the E3, conditions its substrate-recognition surface, and only then enables recruitment of a compatible neo-substrate. This directionality is rarely encoded explicitly in computational models, which typically fuse molecule, E3 and target representations simultaneously. We present MG2Act, a structure-independent framework that translates this two-step logic into sequential cross-attention, using CRBN-mediated degradation as the most data-rich representative system. Starting from a curated continuous-valued benchmark of 1,207 pairs across 47 targets, a refined subset of 1,159 pairs was selected to train MG2Act after excluding rare targets. On identical processed data, MG2Act consistently outperforms machine learning baselines, robustly generalizes under strict redundancy-filtering, and responds coherently to mechanism-based perturbations. Prospective screening and zero-shot target-conditioned prioritization identified nanomolar degraders of IKZF1, CK1 and CDK4, including the non-classical IMiD-core CDK4 degrader SWC-202.

bioinformatics↗

bioRxiv2026

Dynamic Changes in the Urinary Proteome of Normal Pregnant Women and Their Correlation with Fetal Developmental Progression - A Methodological Exploration Based on "One-versus-Many" Urinary Proteomic Comparative Analysis

This study employed a "one-versus-many" (a single pregnant woman compared with multiple non-pregnant women) urinary proteomic comparative framework to examine whether fetal development-related signals can be captured through changes in the urinary proteome under conditions of limited sample size. The experimental group consisted of urinary proteomic data from three women with normal pregnancies (R6, R15, R16) at three gestational time points ([~]6-8 weeks, 22-24 weeks, and 32-34 weeks; Wang et al., 2022), while the control group consisted of urinary proteomic data from six healthy non-pregnant women (Bao & Gao, ChinaXiv: 202302.00108v2). A total of nine independent "1 vs. 6" differential protein analyses and DAVID GO Biological Process enrichment analyses (P < 0.05) were performed. The results showed that all three pregnant women exhibited a large number of differentially expressed proteins at each time point, and all enriched GO BP terms highly relevant to concurrent fetal organ development (nervous system, lung, eye, ear, kidney, etc.). This suggests that the pregnancy urinary proteome can reflect fetal development signals, corroborating the findings reported by Wang et al. (2025) in a rat model. This study demonstrates that the one-versus-many comparative approach maintains high sensitivity under small-sample conditions and can provide a methodological reference for personalized pregnancy medicine.

biochemistry↗

bioRxiv2026

Multi-compartment immune and tumor cell reprogramming by IFNa2 overcomes colon cancer immunotherapy resistance

Approximately 85-90% of colorectal cancers (CRC) are microsatellite stable and resist immune checkpoint inhibitors (ICI). The recent success of intismeran, a lipid nanoparticle (LNP)-delivered mRNA encoding patient-specific tumor antigens, enhances pembrolizumab responses, showing that LNP-delivered nucleic acids can render ICI-resistant tumors responsive by supplying what the tumor microenvironment lacks. Because an IFN-responsive phenotype predicts CRC response to checkpoint blockade and tumor cell PD-L1 represses IFN-I, we asked whether delivering the missing cytokine, rather than antigen, achieves the same conversion. Here we show that PD-1 blockade failed even when initiated before tumor seeding, yet deleting tumor cell PD-L1 abolished colon cancer lung metastasis, implicating a tumor-intrinsic PD-L1 function that antibody blockade does not neutralize. An LNP-encapsulated IFN2-encoding nanoplasmid (LNP-IFN2) transfected tumor cells within lung metastases, converting them into a self-sustaining and tumor-restricted IFN2 source. LNP-IFN2 suppressed colon cancer lung metastasis in syngeneic and humanized mouse models and sensitized these ICI-resistant tumors to PD-1 blockade. Efficacy improved further with neutralization of co-induced IL6. scRNA-Seq revealed multi-compartment reprogramming: SPP1+ macrophages acquired apoptotic signatures as IFN-responsive monocytes replaced them, progenitor-exhausted T cells exited quiescence and expanded, and tumor cells exited a high-cycling state, gained antigen presentation, and shifted away from cuproptosis resistance. The treated microenvironment transcriptionally recapitulated pembrolizumab-responder signatures, positioning LNP-IFN2 as an off-the-shelf nanomedicine for ICI-resistant CRC.

immunology↗

bioRxiv2026

Functional orthogonality of WRN inhibitor resistance enables alternating therapy and mutation-tolerant inhibitor design in MSI-H cancers

Werner syndrome helicase (WRN) is a synthetic-lethal vulnerability in microsatellite instability-high (MSI-H)/mismatch repair-deficient (dMMR) cancers1-5, and non-covalent and covalent WRN inhibitors are now entering clinical development6-9. A central unresolved question is whether resistance to one WRN inhibitor class inevitably compromises the target, or instead creates actionable vulnerabilities to an alternate modality. Here we generated ten stable acquired-resistance models across three MSI-H cell lines using the non-covalent inhibitor HRO761 and the covalent inhibitor VVD-214. Whole-exome sequencing, biochemical reconstitution and isogenic knock-in models identified recurrent on-target WRN missense mutations as dominant resistance drivers, but with sharply modality-specific spectra: HRO761 resistance clustered at G729/F730/I852, whereas VVD-214 resistance concentrated at E846. These mutations impaired inhibitor engagement and abolished the canonical WRN inhibitor (WRNi)-induced pharmacodynamic cascade, including WRN reduction, DNA damage response (DDR) activation and G2/M arrest. Crucially, most resistance mutations retained biochemical, cellular and in vivo sensitivity to the alternate inhibitor modality, revealing a functional orthogonality that enabled a 7-day cyclic alternating regimen to delay tumour regrowth in xenografts. We further identified F730L as an engineered cross-resistant bottleneck model and used structure-guided, artificial intelligence (AI)-enabled optimization to generate GBA-007, a proof-of-concept mutation-tolerant WRN inhibitor candidate with promising activity against F730L in vitro and in vivo. Thus, clinically relevant WRN inhibitor classes impose distinct on-target resistance trajectories that can be exploited through schedule design, while cross-resistant bottlenecks can be addressed by rapid mutation-aware inhibitor engineering.

Cancer Biology↗

bioRxiv2026

Melanin regulates mitochondrial dynamics, metabolism and inflammatory signaling to protect the retina

Albino individuals are clinically recognized to exhibit heightened susceptibility to light-induced retinal injury, yet the cellular and metabolic mechanisms underlying this vulnerability remain poorly defined. Here, we investigated whether retinal pigment epithelium (RPE) pigmentation governs mitochondrial structure, metabolism, and inflammatory responses that ultimately determine retinal resilience to blue light stress. Using pigmented (C57BL/6J) and albino (Balb/c) mice, we demonstrate that albino animals exhibit markedly increased retinal phototoxicity following blue light exposure, manifested by fundus lesions, outer nuclear layer (ONL) disruption, and structural degeneration evident by OCT. Primary RPE cultures derived from albino mice exhibited profound difference in mitochondrial morphology, characterized by increased mitochondrial number, reduced size, and enhanced fragmentation, accompanied by elevated mitochondrial DNA copy number. These structural changes correlated with transcriptional skewing toward mitochondrial fission (increased Drp1) and suppression of mitochondrial fusion (Mfn1, Mfn2, OPA1). Functionally, albino and depigmented RPE displayed impaired oxidative phosphorylation, reduced ATP production, and diminished reliance on mitochondrial pyruvate carrier (MPC)-dependent metabolism. In parallel, albino RPE demonstrated cell-cycle accumulation at G2/M and heightened basal and blue light-induced secretion of pro-inflammatory cytokines, particularly IFN-{beta}1, IL-6, and TNF-. Importantly, exogenous melanin supplementation partially restored mitochondrial fusion gene expression, pyruvate-dependent respiration, and inflammatory restraint. Together, these findings identify melanin as a critical regulator of RPE mitochondrial architecture, metabolic substrate utilization, and inflammatory signaling, providing a mechanistic framework to explain enhanced photo-vulnerability in the albino retina. These insights establish pigmentation-dependent mitochondrial metabolism as a determinant of retinal resilience and suggest mitochondrial bioenergetics as a therapeutic target.

cell biology↗

bioRxiv2026

Regulatory innovation and transcriptome turnover drive the evolution of multicellularity in brown algae

How complex multicellularity evolved repeatedly across eukaryotes remains a central unresolved question in biology. Whether principles inferred largely from animals and plants reflect universal features of multicellular evolution or lineage-specific outcomes is unknown. Here, using a stage- and tissue-resolved transcriptomic atlas spanning the full life cycles of 15 species across the brown algal radiation, comprising 639 RNA-seq libraries, we uncover general principles governing the evolution of developmental programs in an independently evolved multicellular lineage. Despite broad conservation of genome architecture and synteny, developmental and morphological diversification is accompanied by pervasive rewiring of gene expression and rapid turnover of co-expression networks, identifying regulatory evolution as a major driver of multicellular innovation. We show that evolutionarily young genes, including genes of giant viral origin, are repeatedly recruited into developmental programs, particularly in motile unicellular stages, revealing a broader role for these stages as hotspots of evolutionary novelty. We further identify lineage-specific cis-regulatory innovation linked to active chromatin and large-scale transcriptional rewiring, providing a mechanistic basis for transcriptome turnover. Together, these findings show that brown algae reinvented complex multicellularity through distinct molecular routes shaped by rapid regulatory innovation, while revealing organizational principles conserved across independent multicellular lineages.

evolutionary biology↗

bioRxiv2026

Fast zygotic genome activation in brown algae

The maternal-to-zygotic transition (MZT), during which developmental control shifts from maternal products to the zygotic genome, is a fundamental feature of embryogenesis. The prevailing model, established from animal systems, holds that maternal provisioning and nuclear-to-cytoplasmic (N/C) ratio determine the timing of zygotic genome activation (ZGA). Whether this developmental logic is conserved across multicellular eukaryotes remains unknown. Using brown algae, an independently evolved multicellular lineage spanning broad natural variation in maternal provisioning, we generated comparative embryonic transcriptomes across three species and resolved parental contributions through reciprocal crosses and allele-specific expression. Contrary to canonical animal models, all species activated their zygotic genomes immediately after fertilisation, including highly provisioned species with low N/C ratios, and showed no evidence of stable parental imprinting. These findings reveal that timing and regulation of MZT during embryogenesis is evolutionarily flexible and independently shaped across the tree of life.

developmental biology↗

bioRxiv2026

MetaReact: A Reaction-Aware Transformer for End-to-End Prediction of Drug Metabolism

Accurate prediction of drug metabolites and enzyme selectivity is essential for rational drug design and safety assessment. However, existing computational approaches are often limited to specific enzyme families or reaction types, lacking the capacity to model enzyme-subtype specificity and prioritize major metabolites. Here, we present MetaReact, an end-to-end generalizable Transformer-based model that unifies the prediction of metabolic enzymes, metabolites, and sites of metabolism (SOM). By integrating structure-aware encoding ReactSeq, a chemistry reaction-based pretraining, MetaReact consistently outperforms state-of-the-art methods across multiple benchmarks under three settings: enzyme-agnostic, enzyme-completion, enzyme-conditioned. Notably, it achieves 60% Top-3 accuracy in identifying major metabolites and superior CYP450 enzyme-subtype prediction/SOM recognition. Case studies validate its applicability to complex natural products, synthetic cannabinoids, and clinical candidates, facilitating toxicity assessment and molecular optimization. This scalable, rule-free solution advances human metabolism modeling, with potential for computational pharmacokinetics and early drug discovery.

biochemistry↗

bioRxiv2026

Functional activation reveals a repressor-gated fourth type VI secretion system in clinical Pseudomonas aeruginosa

Pseudomonas aeruginosa is a major opportunistic pathogen in which the type VI secretion system (T6SS) contributes to interbacterial competition and virulence. While most strains encode three T6SSs, we here functionally characterize a fourth system (H4-T6SS) in a clinical P. aeruginosa isolate. The H4-T6SS gene cluster is transcriptionally silent under laboratory conditions. By promoter rewiring, we demonstrate that the H4-T6SS assembles a contractile machine and mediates effector secretion and robust inter- and intraspecific antagonism. We identify a dominant pore-forming effector and its secretion pathway and a silent yet conserved nuclease effector. Genetic and biochemical analyses show that H4-T6SS expression is activated by an H4-encoded transcriptional regulator and repressed by H-NS family proteins. Analysis of over 1,200 clinical isolates reveals that the H4-T6SS is distributed across lineages and geographic regions. Finally, we observe functional crosstalk between H4- and H2-T6SSs. Together, these findings establish H4-T6SS as a functional and repressor-gated secretion system that expands the competitive arsenal of clinical P. aeruginosa.

microbiology↗

bioRxiv2025

Multi-omics characterization of IDH-mutant astrocytoma-derived cell lines reveals NOTCH-regulated plastic quiescent astrocyte-like state

Diffuse IDH-mutant astrocytomas are brain tumors typically diagnosed as low-grade but capable of progressing to higher grades. They exhibit three cellular states resembling astrocytes, oligodendrocytes, and neural progenitor (NPC) cells. Understanding their biology has been challenging due to the lack of relevant in vitro models. Here we established and extensively characterized four astrocytoma cell lines (LGG275, LGG336, LGG85, LGG349) derived from IDH-mutant astrocytoma at different grades, cultured in defined media and analyzed by multi-omics. These lines display growth rates in vitro and in vivo consistent with tumor grade and recapitulate key molecular alterations observed in patient tumors, including IDH1, ATRX, and TP53 mutations, activation of the alternative lengthening of telomeres (ALT) pathway and, in the most aggressive line, amplification of MET and PDGFRA. Single-cell RNA sequencing showed that the 4 astrocytoma lines maintain the three major cellular states observed in patient tumors. A hallmark of higher-grade-derived lines (LGG85, LGG349) is the persistence of NPC-like populations without growth factors, reflecting tumor progression. The LGG275 line most accurately mirrors slow-growing astrocytomas. Using CD44 and GLAST, we isolated astrocyte-like (CD44+/GLAST+) cells from LGG275 that preferentially adopt a quiescent state yet retain remarkable plasticity, generating oligodendrocyte-like cells (CD44-/GLAST-). Transcriptomic and proteomic analyses revealed that astrocyte-like and oligodendrocyte-like cells populations resemble quiescent and activated neural stem (NSC) cells from the adult subventricular zone (SVZ). Finally, we found that NOTCH signaling regulates the balance between astrocytic and oligodendrocytic states, while DLL3, expressed by oligodendrocyte-like cells, modulates both proliferation and phenotype. These cell lines represent valuable resources for dissecting lineage dynamics, heterogeneity, and progression mechanisms in IDH-mutant astrocytomas. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=118 SRC="FIGDIR/small/696808v1_ufig1.gif" ALT="Figure 1"> View larger version (33K): org.highwire.dtl.DTLVardef@953108org.highwire.dtl.DTLVardef@c6234aorg.highwire.dtl.DTLVardef@3703fcorg.highwire.dtl.DTLVardef@1e6c3a9_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightO_LIWe constituted a richly annotated biobank derived from 4 astrocytomas, showing similar characteristics to those found in patients, providing valuable tools to investigate cellular heterogeneity and plasticity, and link with tumor progression. C_LIO_LIscRNA-sequencing revealed three cell states (oligodendrocyte-like, astrocyte-like, and stem cell-like cells) akin to those found in tumors. C_LIO_LIAstrocyte-like cells are quiescent cells, plastic and similar to quiescent neural stem cell (qNSC) from the sub-ventricular zone (SVZ), while oligodendrocyte-like cells are similar to active NSC (aNSC). C_LIO_LIThe Notch pathway plays a role in cell plasticity, enabling a shift towards an astrocyte-like state. C_LI

cancer biology↗

bioRxiv2025

Structural semantic evolutionary distance (SSED) unifies the selection of cancer driver genes across macroevolution and tumorigenesis.

The non-random, site-specific enrichment of somatic mutations in cancer driver genes (CDGs) suggests their emergence is governed by underlying evolutionary constraints. However, quantitative methods to define these constraints and their underlying principles remain underexplored. To address this, we introduce the Structural Semantic Evolutionary Distance (SSED), a metric leveraging the pretrained ESM-3 protein language model to quantify evolutionary divergence within a unified structural semantic space. Our analysis demonstrates that CDGs are subject to persistent structural semantic constraints across species, tolerating a significantly narrower range of structural semantic changes during evolution compared to non-CDGs. Crucially, clinically observed oncogenic mutations follow this same principle, favoring minimal structural perturbation as shaped by long-term gene evolution. Such mutations maintain core protein function while conferring a capacity for immune evasion, thereby driving clonal expansion. Guided by this "evolutionary constraint" framework, we successfully predicted and experimentally validated a previously uncharacterized oncogenic mutation, KRAS R135L, in bronchial epithelial cells. Furthermore, clinical cohort analysis demonstrated that SSED acts as an independent predictor of response to immune checkpoint blockade, offering information orthogonal to tumor mutational burden (TMB). This study unifies the evolutionary principles governing CDGs across macroevolutionary and microevolutionary (tumorigenesis) timescales, elucidates the balance between structural adaptability, functional conservation, and immune pressure, and identifies a novel predictive biomarker for cancer immunotherapy.

genetics↗

bioRxiv2025

ERAD Activity Distinguishes the Functional Heterogeneity of Hematopoietic Stem Cells

Hematopoietic stem cells (HSCs) rely on precisely controlled proteostasis to sustain lifelong self-renewal, yet whether intrinsic proteostatic characteristics can prospectively define functional diversity within the HSC pool remains unknown. In this study, we developed a dual-fluorescence reporter system to visualize endoplasmic reticulum-associated degradation (ERAD) activity in vivo and discovered that ERAD activity can prospectively predicts the long-term reconstitution potential of HSCs. Remarkably, ERAD states were maintained through self-renewal, revealing an inheritable "proteostatic memory" within the HSC pool. Transcriptomic and functional analyses identified SOCS2 as a key regulator of this process: SOCS2 inhibits JAK2 signaling to sustain ERAD activity, whereas hyperactive JAK2 interacts with the ERAD E3 ligase Hrd1 and suppresses VCP-mediated misfolded substrate. These findings define a SOCS2-JAK2-ERAD axis that connects cytokine signaling to intrinsic proteostasis remodeling, establishing ERAD activity as a predictive and heritable marker of HSC function and providing a conceptual framework for understanding hematopoietic stem cell heterogeneity.

cell biology↗

bioRxiv2025

RNA-Binding Protein NF90 Mediates Polycomb-Independent Transactivation by EZH2 to Promote Cancer Growth

Increasing evidence suggests critical roles of the polycomb-independent transactivation function of EZH2 in promoting some cancers, such as prostate cancer (PCa), yet the underlying mechanism remains poorly understood. Here, we identify the RNA-binding protein NF90 as a key mediator of this activity. NF90 interacts with EZH2, but not with other core components of the polycomb repressive complex 2 (PRC2), through its RNA-binding modules. Conversely, EZH2 engages NF90 via its intrinsically disordered RNA-binding domain in an RNA-dependent manner. NF90 and EZH2 mutually recruit each other to the AR promoter, where they cooperatively activate AR transcription and enhance downstream AR signaling. This NF90-EZH2 complex is essential for PCa cell growth: depletion of either factor abolishes proliferation, an effect rescued by AR re-expression. Similar to EZH2, NF90 promotes cell-cycle gene expression, is upregulated in advanced PCa, and is associated with poor clinical outcomes. Collectively, our findings uncover RNA-mediated protein interactions as a central mechanism underlying PRC2-independent transcriptional activation by EZH2 and establish NF90 as a major EZH2 coactivator, a master regulator of the cell cycle, and a promising therapeutic target in advanced PCa.

cell biology↗

bioRxiv2025

Hepatocyte FGFR2 Mediates the Antifibrotic Effects of FGF10 in Advanced Liver Fibrosis.

Fibroblast growth factor 10 (FGF10) supports epithelial repair, but its role in liver fibrogenesis remains uncertain. Here we found that hepatic FGF10 and its receptor FGFR2 decline with progression to advanced fibrosis in patient biopsies and in carbon tetrachloride (CCl4)- and diet-induced mouse models. Restoring hepatic FGF10 with recombinant human FGF10 or adeno-associated virus mediated liver-targeted expression attenuated and partially reversed established advanced bridging fibrosis, reduced inflammation, and decreased hepatocyte apoptosis, and these benefits required hepatocyte FGFR2 because hepatocyte-specific Fgfr2 deletion abolished protection. In primary hepatocytes, FGF10 activated FGFR2-FRS2, increased inhibitory GSK3{beta}(Ser9) phosphorylation, and suppressed NF-{kappa}B activation, reducing TGF-{beta}1 and other cytokines and thereby limiting paracrine hepatic stellate cells activation. The molecular and histologic benefits extended to metabolically primed steatohepatitis, supporting translatability beyond toxicant injury. Mechanistic signaling readouts confirm FGFR2 engagement, while the main text centers on the hepatocyte FGF10-FGFR2 axis as an intrinsic brake on fibrogenesis. Together, these data identify a hepatocyte-centric FGF10-FGFR2 axis as a negative regulator and potential regressor of fibrogenesis, highlighting it as a tractable therapeutic target in advanced liver fibrosis.

pharmacology and toxicology↗