Biology subjects

Wang, S.

Publications and source records attributed to Wang, S..

At least 55 records · Page 3Linked to original sources

bioRxiv2026

ScProteoAgent enables natural-language-driven single-cell proteomics analysis and interpretation

Single-cell proteomics requires computational choices to remain aligned with experimental design as research questions evolve. Here we present ScProteoAgent, which translates natural-language requests into domain-specific calculations and preserves research intent, analysis design, matrix-processing history and statistical outputs as reusable analytical state. Follow-up requests reuse applicable inputs and initiate new calculations when contrasts or experimental units change. We assembled a benchmark comprising 55 tasks and 33 reference conclusions from 11 published studies, combining progressive questions within studies with complementary biological and analytical settings. In a retrospective comparison of 88 archived outputs from eight systems, ScProteoAgent achieved the highest mean score of 93.67 under a common six-dimensional rule-based evaluation. A HeLa migration case connected phenotype composition with proteomic clusters, candidate differences and original-observation support. In liver zonation, a researcher-guided follow-up reused a saved matrix to test mouse-level spatial contrasts and compare full-matrix and observed-only results. Applications in brain development, sample preservation and hematopoiesis illustrated how interpretation depends on processing choices and experimental units. ScProteoAgent connects research questions with statistical results and their analytical context, enabling existing analyses to support more specific biological investigations.

bioinformatics↗

bioRxiv2026

Decoding natural scenes from patterned optogenetic responses in mouse visual cortex

A central challenge in developing visual cortical prostheses is to determine how visual stimuli should be transformed into effective patterns of cortical stimulation. Although advances in stimulation technologies, including optogenetics, provide increasingly precise control over cortical activity, it remains unclear whether artificially evoked activity can reproduce the information content of naturally evoked visual representations. Here we establish a quantitative framework for evaluating visual encoding strategies by decoding cortical responses evoked by natural vision and patterned optogenetic stimulation. We developed a novel dual-modal paradigm in awake mice to bridge the gap between endogenous photostimulation and artificial network driving. By co-expressing the high-performance calcium indicator GCaMP6s and the red-shifted, ultra-sensitive opsin rsChRmine-oScarlet in the primary visual cortex (V1), we successfully translated dynamic natural movie frames into patterned, spatiotemporal optogenetic stimulation. Quantitative comparisons of macro-scale dynamics demonstrated that this patterned optogenetic injection evokes cortical states highly comparable and representationally aligned with those driven by actual visual photostimulation. To systematically evaluate the fidelity of these responses, we developed STAR, a deep learning model featuring spatial and temporal attention mechanisms, and successfully reconstructed the frames of natural movies from V1 signals under both experimental modalities. Collectively, our results demonstrate that complex sensory information can be both naturally encoded and synthetically injected into V1 circuits with high decoding fidelity. This work provides an empirical and computational proof-of-concept for intelligent, closed-loop biomimetic encoders, establishing a robust framework for next-generation cortical visual neuroprostheses and bidirectional brain-machine interfaces.

neuroscience↗

bioRxiv2026

BLTP3A dysfunction unleashes lysosomal stress-induced antitumor immunity through STING

High-grade serous ovarian cancer progresses within a lipid-rich ascites microenvironment that engages stress-adaptation programs supporting malignant growth, yet how failed stress resolution influences tumor progression remains incompletely defined. Here, we show that unresolved lysosomal stress restrains tumor progression by sustaining tumor cell-intrinsic STING activity and reorganizing antitumor immunity. We identify BLTP3A as a lysosomal stress-resolution factor in ovarian cancer and show that the common germline missense variant BLTP3A M1098T increases stress-induced lysosomal damage. Patients carrying M1098T had longer overall survival and tumors enriched for cytotoxic T cell-myeloid neighborhoods. In syngeneic tumors, Bltp3a loss or orthologous variant expression delayed progression and generated Cxcl9+ antigen-presenting macrophage niches; M1098T-expressing human tumors similarly promoted interferon-responsive myeloid and T-cell enrichment in humanized mice. Mechanistically, ascites-induced lysosomal stress activated a STING-ATF4-BLTP3A feedback program. BLTP3A dysfunction disrupted CASM-associated lysosomal stress resolution, resulting in prolonged STING activity and sustained tumor-derived IFN-{lambda} without increased cGAMP. Tumor-cell STING and IFN-{lambda} were required for immune remodeling and tumor control. Thus, BLTP3A-dependent lysosomal stress resolution constrains the persistence of stress-induced STING signaling, whereas failure of this response sustains a tumor-intrinsic inflammatory program that organizes protective antitumor immunity.

cancer biology↗

bioRxiv2026

Loss of DNA Demethylase Enhances Arsenic Resistance Via Reducing of PIN2 Antisense Long Noncoding RNA

DNA methylation dynamics regulate diverse plant stress responses, but the mechanisms governing arsenic (As) tolerance through epigenetic pathways remain largely unknown. Here we report that Arabidopsis mutants lacking the DNA demethylase, REPRESSOR OF SILENCING (ROS1), show substantially enhanced As resistance. Integrating transcriptome and methylome data, we found that PIN-FORMED 2 (PIN2), encoding an auxin efflux carrier that also transports As out of cells, represents a key ROS1 target. In ros1, we observed increased methylation in the last exon of PIN2, a region functioning as the promoter for an antisense long non-coding RNA (lncRNA). Hypermethylation of the promoter suppresses the antisense lncRNA, which follows reduction of sense PIN2 transcription. As a result, PIN2 expression increases in ros1 mutants during As exposure, enhancing As tolerance. Analysis of ros1 pin2 double mutants confirmed that PIN2 acts downstream of ROS1 in As tolerance. Our study demonstrates an epigenetic pathway in which ROS1 regulates As tolerance by controlling PIN2 expression through antisense lncRNA-mediated transcriptional interference, offering new epigenetic strategies using plants in heavy metal contaminated environments.

plant biology↗

bioRxiv2026

EIDD-3525 is a broad-spectrum antiviral against alphavirus infection that targets the nsP4 RNA-dependent RNA polymerase

Mosquito-transmitted alphaviruses, including chikungunya (CHIKV), Mayaro, Eastern equine encephalitis, and Venezuelan equine encephalitis viruses, cause severe arthritic or neurologic disease in humans. There are currently no approved antiviral treatments against alphavirus infection. Here, we report that the purine ribonucleoside EIDD-3525 is a potent inhibitor of alphavirus replication in vitro with broad spectrum antiviral activity against the Alphavirus genus. Using a trans-replicase assay, we find that EIDD-3525 blocks alphavirus RNA replication. Mutational profiling suggests that EIDD-3525 targets the alphavirus nsP4 RNA-dependent RNA polymerase that is conserved across medically important alphaviruses. In a pre-clinical mouse model of CHIKV infection and disease, oral treatment with EIDD-3525 reduced viral tissue burdens and the severity of virus-induced disease. Collectively, our findings support the continued development of the purine ribonucleoside EIDD-3525 as an orally available antiviral therapeutic for use against a broad group of alphaviruses.

microbiology↗

bioRxiv2026

Systemic tumor-cell reprogramming converts solid tumors into in situ biofactories for immunotherapy

A central challenge in oncology is delivering potent drugs to tumors without harming healthy tissues. We therefore asked whether tumor cells themselves could be genetically programmed to produce therapeutic molecules directly within the tumor. We present LENTRA (LENtiviral Tumor-Reprogramming Activator), an antigen-targeted lentiviral platform that enables selective transduction and genetic modification of tumor cells in vivo. Following intravenous administration, LENTRA achieves tumor restricted expression of immune checkpoint inhibitors, cytokines, or therapeutic enzymes in multiple murine solid tumor models. Local production of anti CTLA 4 or IL 12 triggered potent antitumor responses while avoiding systemic toxicities. Tumor restricted secretion of sialidase enhanced dendritic cell and T cell infiltration, and reprogrammed tumor associated macrophages toward an immunostimulatory phenotype, resulting in tumor regression and durable immune memory, including in tumors with heterogeneous antigen expression. In patient derived tumor explants, LENTRA mediated efficient transduction, immune remodeling, and reduced tumor viability. By engineering tumors to produce therapeutic proteins, LENTRA converts resistant tumors into autonomous therapeutic sources and active immune hubs, achieving local TME reprogramming and systemic antitumor immunity with an improved safety profile.

cancer biology↗

bioRxiv2026

The diversity, evolution, and conservation of African plants

Africa hosts remarkable biodiversity across diverse biomes, yet its evolutionary history at continental-scale remains poorly understood. We integrate a time-calibrated phylogeny covering 93% of African vascular plant genera with continental-scale distribution data to jointly evaluate phylogenetic diversity (PD), endemism, and diversification rates (DR). We reveal a pronounced decoupling between DR and accumulated evolutionary history across Africa. Mountain, arid, and semi-arid areas emerge as centers of neo-endemism and elevated diversification, whereas lowland and humid regions, particularly the Guineo-Congolian zone, are dominated by older lineages with low recent diversification. Several DR hotspots do not overlap with Global Biodiversity Hotspots, indicating a mismatch between rapid diversification and accumulated evolutionary history. High net diversification and speciation rates during the last 15 million years were likely driven by cooling, aridification, and mountain uplift that created new ecological gradients and isolation barriers. These abiotic changes, interacting with lineage-specific traits, shaped African modern flora and highlight conservation gaps, especially in arid regions

evolutionary biology↗

bioRxiv2026

A Taxonomy-Informed Sparse DNA Foundation Model for Microbial Genomics

Microorganisms are indispensable to terrestrial ecosystems, with their genomic material underpinning critical functions and applications across agriculture, biotechnology, and human health. Although genomic language models have advanced representation learning in DNA sequences, the extensive diversity of microorganisms and imbalanced taxonomic representation in the pretraining corpora pose challenges for effective microbial genomic sequence modeling. Here we present MicroGlot, a taxonomy-informed microbial DNA foundation model pretrained on 3.70 million sequences comprising 378.3 billion nucleotides across 99{,}700 species. MicroGlot encodes the hierarchical relations among taxa through hyperbolic embeddings, incorporating microbial taxonomic knowledge into a sparse mixture-of-experts architecture. Zero-shot evaluation of MicroGlot's layer embeddings demonstrates that the model's representations encode phenotypic traits and taxonomic identity. Comparison with a taxonomy-ablated variant trained under the same pretraining scheme shows that incorporating taxonomic knowledge consistently improves representation quality across the layers of MicroGlot. MicroGlot also combines optimized training techniques with efficient architectural components from modern large language models, achieving leading zero-shot performance across layers and competitive fine-tuning performance with low computational overhead. In a 1000-species set sampled from major cellular domains and viral realms, MicroGlot's routing fingerprints show greater agreement with taxonomic groups than tetranucleotide composition, reflecting taxonomically structured expert routing in multilingual modeling of microbial genomes. Overall, we show that MicroGlot serves as an efficient and effective DNA foundation model for microbial genomic analysis.

bioinformatics↗

bioRxiv2026

TopoFlow: Evolutionarily Conditioned Flow Matching for Protein Conformational Ensemble Generation

Proteins function through dynamic conformational ensembles rather than a single static structure, yet accurately modeling these ensembles remains challenging. Here, we introduce TopoFlow, an evolutionarily conditioned flow-matching framework for protein conformational ensemble generation. TopoFlow uses evolutionary representations from multiple sequence alignments (MSAs) to encode global conformational heterogeneity. It combines this with structural variables from a variational autoencoder (VAE) to capture local flexibility. These complementary representations are then adaptively fused through a conditional modulation module to construct unified conditioning features that guide protein conformational ensemble generation. On the ATLAS molecular dynamics (MD) benchmark, TopoFlow improved the Jensen Shannon metrics for pairwise distances (JS-PwD), radius of gyration (JS-Rg), and time-lagged independent components (JS-TIC) by 10.73%, 5.78% and 7.75%, respectively, relative to BioEmu. Notably, this performance generalizes to experiment-based evaluation, where TopoFlow exhibits strong agreement with experimental observables, including chemical shifts (CS) and small-angle X-ray scattering (SAXS). Ablation analyses further indicated that the evolutionary representations and structural latent variables contributed complementary information to ensemble generation. Our results suggest that TopoFlow, through its integration of evolutionary and structural latent information, offers a promising strategy for generating structurally plausible and conformationally informative protein ensembles.

bioinformatics↗

bioRxiv2026

USP20 Stabilizes FABP5 to Drive Macrophage Foam Cell Formation and Atherosclerosis

Background: Macrophage foam cell formation is a central event in atherosclerosis. Although protein ubiquitination is increasingly recognized as a regulator of macrophage lipid handling, whether deubiquitinating enzymes directly control lipid uptake and metabolic remodeling during atherogenesis remains unclear. Methods and Results: Here, transcriptomic profiling identified ubiquitin-specific protease 20 (USP20) as a previously unrecognized regulator of macrophage foam cell formation. Genetic and pharmacological studies demonstrated that USP20 promoted macrophage lipid accumulation and foam cell formation, whereas macrophage-specific Usp20 deficiency markedly attenuated atherosclerotic lesion formation, lipid deposition, and macrophage accumulation in mice. To elucidate the underlying mechanism, integrative analysis of USP20-interacting proteins and proteomic alterations in Usp20-deficient macrophages identified fatty acid-binding protein 5 (FABP5) as a substrate of USP20. Mechanistically, USP20 interacted with FABP5 and stabilized its protein abundance by preventing ubiquitin-dependent proteasomal degradation. Consequently, USP20-mediated stabilization of FABP5 enhanced PPAR{gamma} occupancy at the Cd36 promoter, thereby increasing Cd36 transcription, ox-LDL uptake, and foam cell formation. Accordingly, Fabp5 knockdown abolished USP20-induced CD36 expression, ox-LDL uptake, and foam cell formation, whereas pharmacological activation of PPAR{gamma} restored CD36 expression in Fabp5-deficient macrophages. Finally, macrophage-targeted delivery of the USP20 inhibitor GSK2643943A markedly reduced atherosclerotic burden without evident systemic toxicity, supporting the therapeutic potential of targeting USP20 in atherosclerosis. Conclusions: USP20 promotes macrophage foam cell formation by stabilizing FABP5 and enhancing PPAR{gamma}-dependent Cd36 transcription. Targeting the USP20-FABP5-PPAR{gamma}-CD36 axis may represent a therapeutic strategy to limit macrophage lipid accumulation, metabolic dysfunction, and atherosclerosis progression.

cell biology↗

bioRxiv2026

MIRCID: Inferred Hub-miRNAs Drive Cross-Task Improvements in Drug Mechanistic Modeling

Drug mechanism-of-action (MoA) modeling commonly relies on perturbational transcriptomes, but matched microRNA (miRNA) measurements are often unavailable. Inferred regulatory features offer a scalable way to reuse these data. Here, we present MIRCID, a framework comparing gene expression with inferred transcription factor (TF) activity and miRNA expression across pathway classification and similarity-based MoA retrieval. HubmiRNet infers 414 pan-cancer hub miRNAs (HubmiRs) from 977 L1000 landmark genes, achieving a Pearson correlation coefficient of 87.72\%; its 1,298-output variant also outperformed SiCmiR on the full-miRNA task (71.21\% versus 67.30\%). In the evaluated comparisons, miRNA augmentation provided more consistent gains than TF activity. Generic embedding controls showed model-dependent utility, while complementarity analyses identified a distinct, partially linearly recoverable representation that retained gene-derived structure. Illustrative rescue cases linked improved classification to biologically plausible miRNA patterns in samples with weak transcriptional signatures. These findings support inferred HubmiRs as a biologically informed recoding of transcriptomic data for perturbational drug modeling, while leaving recovery of measured perturbational miRNA responses to further validation.

bioinformatics↗

bioRxiv2026

Spatiotemporal atlas resolves the mesenchymal-epithelial stem cell axis governing human hair follicle aging and pathology

How adult stem cell populations coordinate tissue regeneration across physiological and pathological states remains unclear. Hair follicles contain epithelial and mesenchymal stem cells that codetermine hair regeneration. Here, we integrate a multimodal spatiotemporal atlas with functional validation to define the mesenchymal-epithelial stem cell dynamics governing human hair follicle homeostasis, aging, and androgenetic alopecia. Aging is characterized by passive depletion of hDSC-derived regenerative cues, whereas AGA involves a shift of hDSC toward an inhibitory signaling hub that promotes HFSC dysfunction. We further pinpoint hDSC-secreted PTN as a key regenerative factor that promotes hair growth and counteracts androgen-induced growth suppression. This study provides a holistic framework of adult stem cell crosstalk across physiological and pathological states, offering a mechanistic roadmap to reinstate tissue regeneration.

cell biology↗

bioRxiv2026

Multiomics Characterization Identifies S1P-secreting USSHigh Skeletal Muscle Stem Cells as Essential Drivers of Niche Remodeling and Muscle Regeneration

Acutely induced cellular senescence is increasingly recognized as vital for tissue repair but the precise roles of senescent cells in skeletal muscle regeneration remain paradoxical. Here, using single-cell RNA sequencing and a Unified Senescence Score (USS) methodology, we identify a distinct USSHigh (USSHi) muscle stem cell (MuSC) subpopulation emerging in early phase of acute injury induced muscle regeneration. Isolation via the surface marker MHCII enables characterization of these cells as exhibiting canonical senescent-like features. Further characterization through integrated transcriptomics, proteomics, and secretomics reveals their highly pro-inflammatory secretory capacity. Moreover, lipidomic profiling uncovers that the USSHi MuSCs undergo profound sphingolipid metabolic remodeling to generate upregulated bioactive lipid Sphingosine-1-phosphate (S1P). In vivo specific ablation of this subpopulation using a Pax7-CreERT; Ccl2-LSL-DTA genetic strategy significantly impaired muscle regeneration. Furthermore, spatial transcriptomics and cell-cell communication analyses revealed that USSHi MuSCs act as critical niche modulators, directing crosstalk with multiple cell types. Specifically, S1P is essential for mediating direct USSHi interaction with endothelial cells and USSLo cells to promote endothelial angiogenesis and MuSC expansion in the regenerating muscle. Crucially, exogenous S1P rescues the regenerative deficits caused by USSHi MuSC ablation. Altogether our findings define a senescent-like MuSC population emerging in acute injury induced muscle regeneration and provide definitive evidence to demonstrate the positive role of these cells in enhancing muscle repair via their robust secretory phenotypes and inter-cellular communicative capacity.

cell biology↗

bioRxiv2026

Temozolomide-associated inflammatory-repair remodeling in recurrent glioblastoma exposes a ROCK-linked therapeutic vulnerability

Background: Glioblastoma (GBM) adapts to therapy through coordinated malignant-cell and microenvironmental responses, but the mechanisms linking treatment-associated inflammation to tumor-cell phenotypic plasticity remain poorly defined. Here, we investigated whether preoperative temozolomide exposure is associated with inflammatory-repair remodeling and a ROCK-linked therapeutic vulnerability in recurrent GBM using a window-of-opportunity clinical trial cohort. Methods: We integrated patient-resolved single-cell transcriptomics, spatial RNA profiling and multiplex protein imaging with experimental perturbations and orthotopic glioblastoma models. In the presurgical window-of-opportunity subgroup of NCT05236036, four patients with recurrent glioblastoma received additional preoperative temozolomide (TMZ; 150 mg/m2/day for 5 days) before resection and were compared with three recurrent comparators who did not receive additional preoperative TMZ. Results: Across seven tumors, malignant-cell inflammatory activity covaried with integrin-binding and wound-healing programs (median partial {rho} = 0.45 and 0.42, respectively). Tumors exposed to preoperative TMZ showed enrichment of inflammatory, chemokine, adhesion and wound-healing programs (GSEA q < 0.05), with the direction of enrichment preserved in all leave-one-patient-out analyses. In two tumors exposed to preoperative TMZ, CXCL12 localized to vascular territories, whereas chemokine and wound-repair programs increased near injury-reference regions. Across seven specimens analyzed by multiplex protein imaging, MYL9 abundance correlated with local CXCL12 ({rho} = 0.61), phosphorylated MYPT1 ({rho} = 0.48) and nuclear phosphorylated STAT3 ({rho} = 0.45), with positive associations in every specimen. Experimentally, TMZ increased CXCL8 and reactive-state markers and enhanced subsequent scratch closure, while CXCL8 and CXCL12 increased MLC2 phosphorylation. Fasudil attenuated TNF-NF-{kappa}B, inflammatory-response and IFN-{gamma}-response programs in TMZ-treated cells and reduced scratch closure and p-MLC2 in complementary assays. Across three orthotopic models, fasudil plus TMZ prolonged survival versus TMZ alone (model-stratified HR, 0.21; 95% CI, 0.07-0.61; P = 0.001). Conclusions: These findings link treatment-associated inflammatory-repair programs with cytoskeletal remodeling and support further translational evaluation of fasudil plus TMZ in glioblastoma.

cancer biology↗

bioRxiv2026

Combinatorial CRISPR/Cas12a excises targeted loci in the mammalian genome at very low efficiency

The CRISPR/Cas12a system has emerged as a highly useful tool for genomic editing due to its ability to process multiple guide RNAs (gRNAs) from a single promoter. In this study, we explored the potential of combinatorial CRISPR/Cas12a to excise targeted loci in the mammalian genome by inducing double-strand breaks (DSBs) upstream and downstream of targeted exons. We designed a library of gRNA pairs targeting introns flanking 54 exons of 18 essential genes and 17 exons of 10 nonessential genes, aiming to assess the efficiency of Cas12 in excising targeted loci. While single gRNAs directly targeting essential exons produced expected fitness defects in cells, pairs of guides targeting flanking intronic regions resulted in only trivial viability effects, suggesting that excision rarely occurred. Further analysis showed no meaningful correlation between gRNA efficiency, orientation, GC content, or cut site geometry and the success of locus excision. These findings indicate that, under the conditions tested, the Cas12a system does not yield locus excision at the efficiency required for sensitive negative selection assays.

systems biology↗

bioRxiv2026

stEDGE enables edge-guided multiscale reconstruction of hierarchical spatial domains and transition interfaces in spatial transcriptomics

Spatial transcriptomic technologies enable high-resolution mapping of tissue architecture, yet most computational methods still represent tissues as flat spatial partitions, limiting their ability to resolve spatial domain boundaries, gradual transition regions and nested hierarchies. Here we present stEDGE, an edge-guided and interpretable framework for multiscale reconstruction of spatial domain hierarchies and transition-associated states in spatial transcriptomics. Unlike conventional domain-first approaches, stEDGE first estimates local boundary structure and uses it to guide the reconstruction of fine-grained spatial domains. We further introduce a domain transition index (DTI) to quantify domain-level transition propensity and integrate DTI with inter-domain similarity and boundary strength to organize fine domains into a coherent multilevel hierarchy. A tree-guided gene attribution strategy then distinguishes shared parent-level programs from branch-specific specialization across hierarchical spatial states. Across 15 benchmarked tissue sections spanning diverse tissues, technologies and spatial resolutions, stEDGE reconstructs developmental, inflammatory, tumor and brain architectures beyond conventional domain partitioning. Applied to cell-resolved Xenium profiling of fibrotic human lung, stEDGE further reveals lesion-associated remodeling as a coherent multiscale hierarchy in which remodeling interfaces coexist with a stable macrophage-associated airway/lumen state and spatially organized TLS-like lymphoid niches. Together, stEDGE provides a unified framework for modeling how stable compartments, domain boundaries, remodeling interfaces, localized niches and multiscale gene programs are jointly organized across spatial scales.

bioinformatics↗

bioRxiv2026

Temporal Dynamics of Parvalbumin Interneurons and Perineuronal Nets During Learned Helplessness

This study followed the recruitment of medial prefrontal cortex parvalbumin (PV+) interneurons and their perineuronal nets (PNN) across the two stages of the learned helplessness (LH) paradigm: the initial uncontrollable stress experience and the later expression of helpless or resilient coping. Combining TRAP2-based activity mapping with a staggered-endpoint design, three main findings emerged on the functional and structural neuronal correlates in prelimbic (PL) and infralimbic (ILA) subregions during LH paradigm. First, prefrontal recruitment during the first inescapable shock session already predicted the coping strategy that would be expressed two days later during escape avoidance test, before any behavioral divergence was observable. Second, the expression of parvalbumin protein (PV) in this cortical subpopulation of interneurons followed a dynamic trajectory rather than a static stress change, transiently reduced across all shocked animals at the escape test, and back to baseline over the following week in both PL and ILA, except in animals that went on to be classified as helpless. Third, PNN intensity temporal patterns did not track stress exposure in either subregion, yet PNN and PV became correlated with one another specifically in ILA in stressed animals, pointing to a stress-induced structural coupling rather than a constitutive relationship between the two markers.

neuroscience↗

bioRxiv2026

Cardiomyocytes upregulated PD-L1 expression to alleviate cardiac injury induced by irradiation combined with anti-PD-1 antibody: an in vitro and in vivo study

Objective: Preclinical studies suggest that irradiation combined with anti-PD-1 antibody (iRT) exacerbates cardiac injury in mice, partly through CD8 T-cell-mediated mechanisms. We investigated radiation-induced PD-L1 expression in cardiomyocytes and explored its potential role in iRT-associated cardiac injury. Methods: AC16 cells were exposed to different doses of irradiation. PD-L1 expression was assessed at different time points by flow cytometry, qRT-PCR, western blotting, and immunofluorescence. Cell viability, apoptosis, and cytokine levels were evaluated. PD-L1 was knocked down using siRNA to assess its function. PBMCs or CD8 T cells were co-cultured with irradiated or non-irradiated AC16 cells at different E:T ratios, with or without PD-1 blockade. A C57BL/6J mouse model of iRT-induced myocardial injury was established, and myocardial PD-L1 expression and T-cell infiltration were evaluated. Results: Irradiation upregulated PD-L1 expression in AC16 cells, with increased membrane and cytoplasmic signals at 48 h and prominent nuclear-associated fluorescence at 72 h. Irradiation increased IL-6, MCP-1, CCL5, and CXCL10 release, decreased IL-10, reduced cell viability, and increased apoptosis. PD-L1 knockdown further increased inflammatory cytokine and chemokine release but did not significantly alter apoptosis or further reduce viability in irradiated AC16 cells. In the presence of a high density of activated CD8 T cells, disruption of PD-1/PD-L1 signaling was associated with a further reduction in AC16 cell viability. In vivo, myocardial PD-L1 expression was increased, whereas CD8 T-cell infiltration remained limited and focal. Conclusion: PD-L1 upregulation in cardiomyocytes may exert an adaptive protective and immunoregulatory role during iRT-associated injury, potentially by limiting inflammatory mediator release and modulating susceptibility to activated CD8 T-cell mediated injury. CD8 T-cell density and activation are the key issues.

cancer biology↗