Biology subjects

Yang, B.

Publications and source records attributed to Yang, B..

At least 55 records · Page 3Linked to original sources

bioRxiv2026

Mucosally sourced complement factor B modulates the host response to colitis

Distinct host factors maintain intestinal homeostasis but are incompletely understood. The complement system is primarily liver-derived and serum-operative. However, there is growing recognition for complement-mediated host defense at mucosal surfaces. The alternative pathway, which is constitutively active at low levels and amplifies complement activation independent of antibodies, requires Complement Factor B (CFB). Despite its evolutionary conservation, the spatial, cellular, and functional roles of CFB in the intestine are poorly understood. Here, we show that CFB is produced in the human colon and is increased in patients with active inflammatory bowel disease. To isolate the role of local CFB in mucosal responses, we interrogated a mouse strain that has no circulating, liver-derived CFB but retains intact CFB expression in the gut. Global CFB-deficient mice succumb to colitis compared to these liver-specific knockout mice, suggesting that locally synthesized CFB mitigates colitis. Single-cell analyses identify enterocytes and fibroblasts as key CFB producers in the gut. Compartment-specific deletion of CFB from epithelial or stromal cells abrogates mucosal protection independent of circulating levels, which corroborates with pharmacological CFB inhibition. These findings redefine complement in the intestine as a locally regulated mucosal defense system and establish gut-derived CFB as a critical determinant of intestinal homeostasis. BRIEF SUMMARYThe role of local immune mediators in gut mucosal immune responses is still not entirely understood. In this study, we demonstrate a novel role for complement protein Factor B, a key component of the alternative pathway, which is locally sourced through epithelial and stromal cells. In vivo modeling of impaired local Factor B synthesis results in worse colitis, revealing a key role for mucosal sourced components of the alternative pathway.

immunology↗

bioRxiv2025

Single-cell atlas reveals alveolar macrophage-specific Oncostatin-M drives pulmonary fibrosis via fibroblast activation in PCV2d infection

A hallmark of pulmonary fibrosis is the aberrant activation of lung fibroblasts into pathological fibroblasts that produce excessive extracellular matrix(1). Clarifying the cell-specific mechanisms by which viruses induce this process is crucial for developing effective strategies to intervene in disease progression. Here, we demonstrate that alveolar macrophage subsets specifically express tumor suppressor M (Osm) after infection by PCV2d infection and related intervention experiments in mice, combined with single-cell transcriptome sequencing (scRNA-seq). Through validation using histopathological analyses and an in vitro macrophage-fibroblast co-culture model, these alveolar macrophage-derived oncostatin M (Osm) were confirmed to specifically drive fibroblast activation. Vaccine intervention experiments further confirmed that targeted inhibition of oncostatin M (Osm) expression in alveolar macrophages significantly attenuated fibroblast activation and extracellular matrix deposition, thereby mitigating pulmonary fibrosis progression. Therefore, subgroup-specific secretion of oncostatin M (Osm) by alveolar macrophages represents a key driver mediating PCV2d infection-induced pulmonary fibrosis, and targeting this pathway offers a potential therapeutic strategy for viral-induced pulmonary fibrosis.

genomics↗

bioRxiv2025

AI-based Predictive Signaling Pathway Profiling in Cardiac Fibrosis Suggests a Novel Combinatorial Treatment Strategy

BackgroundCardiovascular disease (CVD) remains the leading cause of global mortality, with myocardial fibrosis characterized by excessive extracellular matrix (ECM) deposition representing a common endpoint associated with progressive cardiac dysfunction. While studies in animal models of heart disease suggest that preventing or reducing fibrosis can antagonize negative ventricular remodeling, current therapeutic strategies remain clinically limited and ineffective, in part due to an incomplete understanding of the multifactorial nature of the fibrotic process. Methods and ResultsWe employed artificial intelligence (AI) trained from 6,528 cardiac fibrosis publications over the past decade, which suggested 10 nodal signaling pathways underlying the fibrotic process. Single-cell RNA sequencing was used to quantify pathway activities across mouse models and clinical samples encompassing acute and chronic cardiac injury. Dynamic enrichment analysis revealed 2 critical pathways involved in acute myocardial infarction (MI) injury driven temporally-regulated fibrosis whereby Janus kinase - Signal transducer and activator of transcription (JAK-STAT) signaling peaked early (day 7) while transforming growth factor-{beta} (TGF-{beta}) pathway activity peaked mid-phase (day 14). With more chronically-driven fibrosis, JAK-STAT signaling again emerged, which this time was persistently active during chronic transverse aortic constriction (TAC) injury. Experimentally, single-cell analysis identified a pathogenic myofibroblast subpopulation characterized by high JAK-STAT signaling and ECM secretion capacity. Fibroblast-specific Jak1/2 gene-deleted mice significantly reduced TAC-induced fibrosis by blocking myofibroblast formation from this subpopulation, although these same mice failed to show attenuated fibrosis following MI injury, suggesting a pathway that would be ideal to therapeutically target for chronic fibrosis without affecting necessary acute scar formation. Indeed, based on the predictive AI driven algorithm, a temporal inhibitory strategy was generated for JAK-STAT and TGF-{beta} that permitted compensatory scar formation while more effectively preventing progressive fibrosis and worsened cardiac function versus either singular pathway or chronic antagonism. ConclusionHere we employed the wealth of past signaling pathway data underlying cardiac fibrosis to train an AI model, which suggested an optimized approach of inhibiting 2 nodal signaling pathways but with differential timing as a more effective therapeutic strategy that reduces pathologic cardiac fibrosis without negatively impacting compensatory fibrotic activity with acute MI injury. The therapeutic approach involves altering the timing of JAK-STAT signaling blockade with ruxolitinib (RUX) in combination with delayed and temporary TGF-{beta} signaling inhibition post MI injury with pirfenidone (PFD).

cell biology↗

bioRxiv2025

Single-Cell RNA and ATAC Sequencing Reveal Cellular Heterogeneity and Chromatin Accessibility Dynamics in Young Chinese Breast Cancer Patients across Pre- and Post-Neoadjuvant Therapy

Young breast cancer (YBC) patients (age [≤] 40) exhibit aggressive features and poor prognosis, while facing complex needs including breast-conserving surgery and fertility preservation. Neoadjuvant therapy (NAT) is important for tumor downstaging and breast-conserving surgery in YBC treatment, but the NAT response mechanisms in YBC patients remain unelucidated. Here, we analyzed pre- and post-NAT samples from Chinese YBC patients using scRNA-seq and scATAC-seq. We found that NAT reshaped cellular heterogeneity in the tumor microenvironment (TME), reducing epithelial and T cells while increasing endothelial cells and fibroblasts. Residual cancer cells showed enriched epithelial-mesenchymal transition (EMT) and stromal remodeling programs. NAT responders had fewer luminal-like cells and retained basal-like cells in an early hybrid EMT state, whereas non-responders maintained both populations with late hybrid EMT. We identified therapy-resistant genes and motifs (e.g., VTCN1, PROM1, MZB1, Fox family) and linked CXCL13 upregulation to poor NAT response and tumor-specific T-cell expansion. Cell-cell communication analysis revealed NAT reprograms the TME by suppressing VEGF and TNF signaling in basal cells, while residual luminal cells transmit EGFR and CD47-SIRPA signals.

cancer biology↗

bioRxiv2025

SLOGEN: A Structure-based Lead Optimization Model Unifying Fragment Generation and Screening

Lead optimization plays an important role in preclinical drug discovery. While deep learning has accelerated this process, structure-based approaches that leverage 3D protein-ligand information remain underexplored. Existing models could improve predicted affinity but often yield synthetically inaccessible compounds, whereas screening-based methods limit chemical novelty by relying on fixed fragment libraries. To bridge the gap, we introduce Slogen--a Structure-based Lead Optimization algorithm unifying fragment Generation and screENing. To achieve this, Slogen integrates a transformer-based variational autoencoder, pretrained on the BindingNet v2 dataset, with an E(3)-equivariant graph neural network that models 3D protein-fragment interactions. This unified framework enables both fragment generation and similarity-based screening, simultaneously addressing synthetic tractability and structural diversity. Benchmarking study shows that Slogen matches or surpasses state-of-the-art methods while exploring broader chemical space. Case studies on the Smoothened and D1 dopamine receptors demonstrate its capacity to design high-affinity, drug-like molecules, providing a practical method for structure-guided lead optimization.

bioinformatics↗

bioRxiv2025

A Population-scale Single-cell Spatial Transcriptomic Atlas of the Human Cortex

The genetic and spatial determinants of cell type diversity in human cerebral cortices remain poorly defined. Here, we present a population-level single-cell spatial transcriptomic atlas of human cortices from 71 donors across the lifespan. We identified 906 layer-specific genes showing conserved and divergent laminar expression patterns between humans and other species. Spatial analysis revealed neuronal vulnerability and glial activation during aging, together with a decline in the proportion of superficial SST neurons and their interactions with other cells. Disease-associated genes exhibited high cell-type and layer-specific expression, implicating the pathogenic role of spatially specific gene expression. Spatial cis-eQTL analysis identified regulatory variants linked to genes related to diseases like Tourette syndrome. Cross-species comparison demonstrated glial expansion in the human cortex, accompanied by enhanced neuron-glia communication via the neuregulin signaling. Together, we provide a comprehensive single-cell atlas of the human cortex that is essential for understanding aging, evolution, and disease pathogenesis.

neuroscience↗

bioRxiv2025

γδ17 T cell-stromal networks modulate matrix composition and vascularity in foreign body response

Immune-stromal crosstalk governs tissue fibrosis, which is marked by dysregulated extracellular matrix (ECM) production and aberrant vasculature. Here, we investigate how {gamma}{delta} T cell interactions with stromal cells shape fibrosis in the foreign body response. During the acute reaction, type-1 ({gamma}{delta}IFN{gamma}) and type-17 ({gamma}{delta}17) effector subsets accumulated at the implant. While {gamma}{delta}IFN{gamma} decreased as fibrosis progressed, activated {gamma}{delta}17 persisted as dominant interleukin-17 producers. The {gamma}{delta}17 increased with aging and high-fat diet, both factors associated with chronic inflammation and fibrosis. Co-culture with {gamma}{delta}17 stimulated fibroblast expression of collagen genes and intercellular communication inference linked {gamma}{delta} T cell ligands to activation of ECM remodeling and vascular development programs in fibroblasts and endothelial cells. Finally, genetic deletion of {gamma}{delta} T cells altered expression of ECM components and increased vessel size within the fibrotic matrix. Altogether, our findings implicate {gamma}{delta} T cells in regulating stromal behavior to modulate composition and vascularity of fibrotic tissues.

immunology↗

bioRxiv2025

Brain Region-Specific Epigenomic Reorganization and Altered Cell States in Alzheimer's Disease

Alzheimers disease (AD) is the most common neurodegenerative disorder, yet the molecular mechanisms underlying its region- and cell-type-specific pathogenesis remain poorly defined. Here, we generated a large-scale, single-cell multi-omic atlas--integrating DNA methylation and 3D genome architecture--from postmortem brain tissue of matched AD patients and cognitively normal controls. Samples were collected from three brain regions with distinct vulnerability to AD pathology: the temporal cortex (TC), primary visual cortex (VC), and prefrontal cortex (PFC). Our dataset comprises over 230,000 individual cells, spanning major neuronal and glial populations, and provides a high-resolution view of multi-layer epigenomic regulation. We identified widespread AD-associated DNA methylation changes and marked reorganization of 3D genome structure, including alterations in A/B compartments, topologically associating domains (TADs), and chromatin loops. These changes are strongly region-specific: TC displays pronounced hypermethylation, transcriptional downregulation, and elevated boundary density, whereas VC shows opposing trends and PFC an intermediate profile. We further uncovered previously unrecognized AD-associated glial and neuronal states defined by coordinated epigenomic dysregulation and recurrent genomic deletions, particularly near telomeric regions. This region-resolved, single-cell multi-omic atlas reveals divergent epigenomic trajectories across brain regions and cell types in AD, offering new mechanistic insights and a framework for targeted therapeutic strategies.

genomics↗

bioRxiv2025

eIF4E assembly into C. elegans germ granules is essential for its repressive function

Metazoan germ cells form intracellular germ granules, cytoplasmic RNA-protein condensates that contain a variety of RNAs and proteins essential for germline identity, maintenance, and fertility. P granules are a type of C. elegans germ granule proposed to be sites of mRNA repression. Proper P granule assembly is dependent on PGL-1 and its granule-forming protein relatives. Numerous RNA-binding proteins localize to P granules, like the eIF4E mRNA cap binding homolog, IFE-1. IFE-1 directly interacts with PGL-1 in vivo and in vitro. The molecular function of P granules remains enigmatic. Here, PGL-1 was molecularly dissected in vivo to determine protein regions required for P granule assembly, binding partner recruitment, and germ cell development. A specific region in the PGL-1 C-terminus was necessary and sufficient for IFE-1 recruitment to P granules and for fertility. IFE-1 RNA targets were identified, and reporters of top gene targets were repressed in the adult germline. This repression was dependent on PGL-1 and its IFE-1 binding peptide. These findings provide evidence that IFE-1 and P granules are a factor and site of mRNA repression, respectively. This repression required IFE-1 assembly into P granules, supporting the model that RNA-protein condensate assembly is necessary for its biological and biochemical functions.

developmental biology↗

bioRxiv2025

Residual Foveal Motion Facilitates Processing of Visually Tracked Objects

Humans and other species visually track moving objects via pursuit eye movements. These movements fail to stabilize the stimulus on the retina, an effect often attributed to errors in oculomotor control. However, it remains unclear whether the resulting residual retinal motion serves visual functions. Using high-resolution eye tracking, we reconstructed foveal motion during discrimination of both stationary and moving stimuli. We show that the retinal motion elicited by pursuit is heavily constrained and strikingly mirrors the motion present during normal active fixation. We then show that this motion performs an important information-compression computational function by equalizing luminance modulations in a low-spatial-frequency range during tracking of natural stimuli. Finally, we show that the resulting visual signals during tracking contribute to perceptual judgments, shifting spatial sensitivity toward lower frequencies relative to fixation. These results suggest that retinal motion during pursuit constitutes an active strategy for encoding space in the joint space-time domain.

neuroscience↗

bioRxiv2025

Evolutionary Tree in Chemical Space of Natural Products

Natural products (NPs) are key to biological function and adaptation, with their distribution shaped by complex evolutionary and ecological forces. While it may seem reasonable to assume that closely related species produce chemically similar NPs, this assumption has not been systematically tested at a broad taxonomic scale. Here, we evaluate whether evolutionary (taxonomic) proximity correlates with chemical similarity in large-scale data from the Lotus database of NPs. We use five deep learning-based encoders, including Chemformer and SMILES Transformer, to embed NPs into a high-dimensional "chemical space." Our results demonstrate that, for flowering plants (Magnoliopsida) and conifers (Pinopsida), species separated by shorter taxonomic distances tend to produce significantly more similar NPs. Similar trends are observed for Fungi and Metazoa, albeit with some complications, possibly due to horizontal gene transfer, convergent evolution, and/or incomplete coverage in the dataset used for NPs. Our findings suggest that the evolutionary tree can be statistically recovered in a chemical space of NPs, provided that this space is constructed with appropriate deep learning techniques, and provide a new computational framework to investigate the evolutionary dynamics of secondary metabolism. These results can inform drug design strategies, for example by enabling the reconstruction of NPs from poorly studied or extinct species.

bioinformatics↗

bioRxiv2025

Screening channelrhodopsins using robotic intracellularelectrophysiology and single cell sequencing

BackgroundOur ability to engineer opsins is limited by an incomplete understanding of how sequence variations influence function. The vastness of opsin sequence space makes systematic exploration difficult. New methodIn recognition of the need for datasets linking opsin genetic sequence to function, we pursued a novel method for screening channel-rhodopsins to obtain these datasets. In this method, we integrate advances in robotic intracellular electrophysiology (Patch) to measure optogenetic properties (Excite), harvest individual cells of interest (Pick) and subsequently sequence them (Sequence), thus tying sequence to function. ResultsWe used this method to sequence more than 50 cells with associated functional characterization. We further demonstrate the utility of this method with experiments on heterogeneous populations of known opsins and single point mutations of a known opsin. Of these point mutations, we found C160W ablates ChrimsonRs response to light. Conclusion and comparison to existing methodsCompared to traditional manual patch clamp screening, which is labor-intensive and low-throughput, this approach enables more efficient, standardized, and scalable characterization of large opsin libraries. This method can enable opsin engineering with large datasets to increase our understanding of opsin sequence-function relationships.

neuroscience↗

bioRxiv2025

Mapping antigenic evolution of influenza A virus using deep learning-based prediction of hemagglutination inhibition titers

Seasonal influenza remains a significant public health challenge through unpredictable antigenic drift, where accumulated mutations enable immune evasion and necessitate vaccine updates. Comprehensive antigenic characterization has been hindered by the absence of real-world A(H1N1)pdm antigenic mapping and post-2012 A(H3N2) maps due to insufficient pair-wise hemagglutination inhibition (HAI) titrations. Here, we present an end-to-end transformer model that predicts HAI titers directly from viral genetic sequences with error under two-fold, comparable to experimental variability. This approach enables rapid and high-throughput augmentation of HAI titrations across viral isolates, allowing for constructing large-scale antigenic maps. Several novel evolutionary patterns emerged from our analysis. Our antigenic mapping identified three A(H3N2) clusters between 2012-2022 with transitions occurring approximately every 6 years. Notably, genetically diverse co-circulating subclades 3C.2a and 3C.3a (2015-2020) formed a single antigenic cluster. A(H1N1)pdm formed three less temporally distinct clusters, with a novel cluster emerging post-COVID-19. Using interpretable analysis, we identified mutation sites linked to antigenic cluster transitions that align with previous laboratory findings. Key A(H3N2) mutations primarily occurred within major antigenic epitopes, while A(H1N1) showed fewer key mutations, some outside recognized antigenic regions. Our deep learning approach accelerates antigenic characterization in surveillance at global scale and can be transferred to other variable pathogens, providing an actionable bridge between genomic sequencing and vaccine strain selection.

evolutionary biology↗

bioRxiv2025

Molecular characterization of an adhesion GPCR signal transduction

Key cellular processes rely on the transduction of extracellular mechanical signals by specialized membrane receptors, including adhesion G-protein-coupled receptors (aGPCRs). While recent studies support aGPCR activation via shedding of the extracellular GAIN domain, shedding-independent signaling mechanisms have also been observed. However, the molecular basis underlying these distinct activation modes remains poorly understood. Here, we integrate single-molecule force spectroscopy, molecular dynamics simulations, and cell-based assays to elucidate the structural and dynamic mechanisms of ADGRG1 mechanotransduction. We show that shear stress induces distinct deformation pathways in the isolated GAIN domain, promoting tethered agonist (TA) exposure through loop rearrangements prior to domain shedding. In the full-length receptor, defined GAIN orientations and specific loop contacts with the 7-transmembrane (7TM) core enable allosteric TA engagement and signaling in the absence of GAIN dissociation. The directionality of the applied force dictates the activation pathway, favoring either GAIN shedding or intact GAIN-7TM coupling. These mechanisms align with both the basal activity and collagen-enhanced signaling of ADGRG1. Using deep learning-guided design, we engineered GAIN variants with tailored mechanical sensitivity, validating our model through predictable shifts in constitutive and ligand-induced signaling. Together, our findings establish a unified framework for aGPCR activation governed by GAIN dynamics and orientation, bridging mechanical and allosteric models of receptor function and providing new strategies for engineering mechanosensitive receptors and precision therapeutics.

biophysics↗

bioRxiv2025

Single-cell multiomic human brain atlas reveals regulatory drivers of cortical regionality

Distinct regional functionality of the human cortex is orchestrated by diverse cellular and molecular processes, yet the underlying regulatory mechanisms remain poorly understood. We performed multiomic single-cell and spatial characterization of nine regions of the human cortex to define the gene regulatory networks and transcription factors that govern cell-type and region specificity. With the combined data of over three million cells, two striking patterns of cortical neuron specialization were uncovered: a rostral-caudal gradient of calcium regulatory machinery, and subunit switching of multiple signaling receptor families across the transmodal-sensory axis. Gene regulatory network analysis revealed putative transcriptional regulators of cortical neuron specialization with cell-type- and region-specific gene regulation patterns. While regionalization was observed in gene expression, chromatin accessibility, and spatial distributions, these modalities exhibited distinct cortical patterns. Our findings illuminate critical neuronal pathways that vary throughout the cortex and the gene regulatory networks that establish cortical regionalization in the human brain.

neuroscience↗

bioRxiv2025

Uranium mining fuels evolution in deep groundwater microbiomes

Deep-biosphere microbes have been underpinning global biogeochemical cycles throughout Earth history, yet their evolutionary responses to long-term anthropogenic disturbance remain poorly understood. Neutral-pH in-situ leaching (ISL), the dominant uranium-mining strategy, imposes persistent radiochemical and redox stress offering rare natural experiments across decades for observing subsurface microbial evolution. Here, by exploiting metagenomics and metatranscriptomics in examining microbial responses through various mining stages, we show that neutral U ISL causes substantial changes in microbial communities spanning 2,294 strains accompanied by diversification and selection of active microbial species. These changes occurred during elevated dissolved uranium and radiological activity which correlated with a substantial transcriptional change in energy metabolism, and with an overexpression of specific genes for oxidative-stress defence and DNA-repair pathways. Increased nucleotide diversity in 101 out of 392 species clusters and nonsynonymous/synonymous polymorphism ratios greater than one in 139 species clusters were predominantly observed in metatranscriptomes with elevated radiation, highlighting positive selection of transcriptionally active populations. These findings demonstrate that neutral U ISL drives functional and genetic diversification of subsurface microbiomes, revealing a dynamic and evolutionarily responsive deep biosphere.

genomics↗

bioRxiv2025

From Development to Regeneration: Insights into Flight Muscle Adaptations from Bat Muscle Cell Lines

Skeletal muscle regeneration depends on muscle stem cells, which give rise to myoblasts that drive muscle growth, repair, and maintenance. In bats--the only mammals capable of powered flight--these processes must also sustain contractile performance under extreme mechanical and metabolic stress. However, the cellular and molecular mechanisms underlying bat muscle physiology remain largely unknown. To enable mechanistic investigation of these traits (Graphical Abstract), we established the first myoblast cell lines from the pectoralis muscle of Pteronotus mesoamericanus, a highly maneuverable aerial insectivore. Using both spontaneous immortalization and exogenous hTERT/CDK4 overexpression, we generated two stable cell lines that retain proliferative capacity and differentiate into contractile myotubes. These cells exhibit frequent spontaneous contractions, suggesting robust functional integrity at the neuromuscular junction. In parallel, we performed transcriptomic and metabolic profiling of native pectoralis tissue to define molecular programs supporting muscle specialization. Gene expression analyses revealed enriched pathways for muscle metabolism, development, and regeneration, highlighting the supporting roles in tissue maintenance and repair. Consistent with this profile, the flight muscle is triglyceride-rich, which serves as an important fuel source for energetically demanding processes, including muscle contraction and cellular recovery. Integration of transcriptomic and metabolic data identified three key metabolic modules--glucose utilization, lipid handling, and nutrient signaling--that likely coordinate ATP production and support metabolic flexibility. Together, these complementary tools and datasets provide the first in vitro platform for investigating bat muscle research, enabling direct exploration of muscle regeneration, metabolic resilience, and evolutionary physiology. Graphical AbstractEstablishment of bat muscle cell cultures from the Mesoamerican mustached bat (P. mesoamericnus) provides an in vitro platform to investigate muscle regeneration and flight muscle biology. The pectoralis major muscle was isolated to generate primary myoblast cultures, which were expanded and immortalized using hTERT/CDK4. The resulting myoblast lines retain proliferative and differentiation capacity. RNA sequencing of native pectoralis muscle tissue revealed molecular signatures of myogenic regulation, stress resilience, and tissue remodeling, supporting the relevance of these in vitro models for studying muscle maintenance and regenerative mechanisms. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=127 SRC="FIGDIR/small/662643v1_ufig1.gif" ALT="Figure 1"> View larger version (30K): org.highwire.dtl.DTLVardef@490f49org.highwire.dtl.DTLVardef@8ab615org.highwire.dtl.DTLVardef@b840e1org.highwire.dtl.DTLVardef@ab92eb_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

bioRxiv2025

Antibiotic-induced microbiota depletion impairs the pro-regenerative response to a biological scaffold in mice

Therapeutic biological scaffolds promote tissue repair primarily through the induction of type 2 immunity. However, systemic immunological factors-including aging, sex, and previous infections-can modulate this response. The gut microbiota is a well-established modulator of immune function across organ systems, yet its influence on type 2-mediated repair remains underexplored. Here, we establish a bidirectional relationship between the gut microbiota and biological scaffold-mediated tissue repair. Utilizing a conventionalized germ-free mouse, we demonstrate that scaffold implantation induces compositional and functional changes in the gut microbiome, particularly affecting amino acid biosynthesis. Additionally, in a model of antibiotic-induced microbiota depletion (AIMD), we show that dysbiosis disrupts key immune regulators of type 2 immunity, including reductions in eosinophils, pro-regenerative macrophages, and IL-4-producing CD4+ T cells. At 6 weeks post-scaffold implantation, we observed a significant decrease in myocytes with centrally located nuclei alongside an upregulation in pro-fibrotic gene expression with antibiotic treatment. These findings provide insights into the influence of the gut microbiota on type 2-mediated tissue repair. Significance StatementAntibiotics are routinely administered perioperatively to prevent infection during surgeries and biomaterial implantation. Here, we demonstrate that antibiotic-induced microbiota depletion disrupts the type 2 immune response critical for biomaterial-mediated tissue repair. Our findings highlight the gut microbiota as a determinant of constructive healing and a potential contributor to inter-individual variability in responses to biologic scaffolds.

immunology↗