Biology subjects

Wang, Q.

Publications and source records attributed to Wang, Q..

At least 163 records · Page 9Linked to original sources

bioRxiv2025

Transcriptional dynamics of the oligodendrocyte lineageand its regulation by the brain erythropoietin system

Oligodendrocytes differentiate from oligodendrocyte progenitor cells (OPC) in early postnatal development, but some oligodendrogenesis is maintained throughout adulthood, where oligodendrocyte lineage dynamics may contribute to neuroplasticity, adaptive myelination, and myelin repair. Here, we studied the effect of erythropoietin (EPO) and its receptor (EPOR) on oligodendrocyte lineage dynamics employing murine hippocampus and its myelinated fibers as model region. Using multiple stage-specific markers and single-nuclei-RNA-seq data, we find that EPO stimulates all oligodendroglial lineage cells directly, driving differentiation/maturation. Differential gene expression analysis reveals multiple EPO-regulated mRNAs, including downregulated transcripts for GABA-A receptors, fitting the known inhibition of oligodendrocyte maturation by GABA. Importantly, analogous oligodendrocyte responses are seen when endogenous EPO expression in brain is stimulated by hypoxia. Mice lacking EPOR from mature oligodendrocytes show subtle deficiencies of adult myelination in hippocampal fimbria and mild working memory deficits. These gain- and loss-of-function experiments may further suggest EPO as clinically safe treatment for remyelination therapies.

neuroscience↗

bioRxiv2025

Integrative Multi-omics Deciphers the Assembly Rules of the Human Skin Microbiome and Highlights Lipid-Mediated Niche Partitioning

Understanding the ecological assembly mechanisms of microbial communities is critical for deciphering host-microbiota interactions, however, such processes remain poorly characterized in cutaneous ecosystems. By profiling a non-industrialized rural cohort, this study deciphers the assembly rules governing the human skin microbiome and reveals an evolutionarily conserved core microbiota structured by niche selection. Microbial -diversity peaks when C. acnes and M. osloensis reach equilibrium, supporting the Intermediate Disturbance Hypothesis. Host lipids, rather than aqueous compounds, emerged as the primary drivers of microbial niche partitioning. We further demonstrate that C. acnes and Malassezia restricta function as core metabolic engineers, expressing diverse lipases that hydrolyze triglycerides (TGs) into free fatty acids (FFAs), thereby maintaining skin surface lipid homeostasis ([~]85% TG + FFA). Notably, virtually all skin surface FFAs are microbially derived and function as "public goods", enabling cross-feeding that supports auxotrophic members and fosters mutualistic interactions. Importantly, in vitro coculture experiments confirm that C. acnes establish a survival niche for M. restricta. Our findings support a paradigm shift from a taxonomic to a functional understanding of the skin ecosystem, underscoring microbial lipid metabolism as a central orchestrator of ecological stability and a promising target for therapeutic intervention. O_FIG O_LINKSMALLFIG WIDTH=182 HEIGHT=200 SRC="FIGDIR/small/674196v1_ufig1.gif" ALT="Figure 1"> View larger version (62K): org.highwire.dtl.DTLVardef@1274fa5org.highwire.dtl.DTLVardef@1ddfa07org.highwire.dtl.DTLVardef@49f917org.highwire.dtl.DTLVardef@807a14_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOGRAPHIC ABSTRACTC_FLOATNO C_FIG

microbiology↗

bioRxiv2025

Dual DNA-binding capability of Cdc13 coordinates with Ku to safeguard telomere integrity

In eukaryotes, telomeres, nucleoprotein complexes assembled on telomeric 3-overhang DNA, protect linear chromosome ends from degradation and inappropriate DNA repair. In budding yeast, Saccharomyces cerevisiae, telomere assembly involves the Cdc13-Stn1-Ten1 (CST) complex, the Ku70-Ku80 (Ku) complex, and the Rap1-Rif1-Rif2 complex. Among these, the CST complex, centered on the binding of the G-rich single-stranded region by the Cdc13 subunit, is essential for telomere maintenance and protection. Here, we show that Cdc13 also interacts with the duplex DNA adjoining its bound single strand. This junction binding enables Cdc13 to reposition the Ku complex, potentially suppressing Ku-mediated end joining, while allowing the Cdc13 and Ku complexes to synergize in protecting telomeric DNA ends, a function that can be disrupted by mutation of a conserved residue (K504E). cdc13-K504E cells remain viable but are hypersensitive to Exo1 overexpression, particularly when combined with ku80{Delta}. Surprisingly, cdc13-K504E and other telomere protection mutants are prone to adaptive metabolic reprogramming during stationary-phase growth, leading to increased fitness. This reprogramming is inheritable and centers on elevated expression of thiamine biosynthesis, salvage, and intake pathways. Our findings reveal a stress-induced adaptive response associated with telomere erosion, indicating that telomere erosion may serve as a timer for its activation.

biochemistry↗

bioRxiv2025

An RNA-mediated DNA melting mechanism for CRISPR-Cas9

CRISPR-Cas9 systems, adaptive defense mechanisms in bacteria and archaea, have been widely adopted as powerful gene editing tools, revolutionizing biological and medical research. In the first steps of CRISPR-Cas9 gene editing, the Cas9 protein, in complex with RNA, facilitates DNA melting and subsequent RNA-DNA hybrid formation, but the atomic-level mechanism of this fundamental process is not fully understood. Here, we present the results of long-timescale molecular dynamics simulations in which Cas9-RNA complexes bound to double-helical DNA and promoted the formation of RNA-DNA base pairs in a unidirectional, stepwise manner. Unexpectedly, we observed a direct role for the RNA in facilitating DNA melting events through a mechanism in which RNA bases intercalated within the DNA and promoted strand separation. In addition, breathing motions within the Cas9 DNA-binding cleft contributed to the sequential formation of RNA-DNA base pairs. These simulation results, obtained for two structurally distinct Cas9 proteins, together with supporting experimental work, suggest a novel RNA-dependent mechanism for DNA melting that may be conserved in other Cas proteins.

biophysics↗

bioRxiv2025

Hypoxia-induced metastatic heterogeneity in pancreatic cancer

In most solid tumors, hypoxia constitutes a defining microenvironmental feature that reprograms malignant cells into a highly metastatic state by driving cellular plasticity and exacerbating chromosomal instability (CIN). However, the mechanisms by which cancer cells concurrently co-opt these elements of hypoxic adaptation to promote metastasis remains poorly understood. Here, we report that hypoxia promotes metastasis by suppressing the JmjC-containing histone lysine demethylase Kdm8. CRISPR/Cas9-mediated targeting of Kdm8 in a Kras;Trp53-driven mouse model of pancreatic ductal adenocarcinoma (PDA) robustly rewires the malignant cell transcriptomic programs, leading to a profound loss of the epithelial morphology and widespread metastatic disease. In PDA patients, a high KDM8-induced gene signature is associated with reduced metastatic burden and better survival in advanced disease. Notably, Kdm8 suppression in normoxia recapitulates key aspects of the global epigenetic and transcriptomic rewiring, mitotic spindle defects, and CIN induced by hypoxia. Moreover, disruption of Kdm8s demethylase activity phenocopies Kdm8 loss, whereas expression of hypermorphic Kdm8 variants resistant to hypoxic suppression markedly reduces metastasis beyond the levels achieved by the wildtype protein. Through the suppression of Kdm8 demethylase function, hypoxia unleashes a potent metastatic program by simultaneously advancing cellular plasticity and CIN.

cell biology↗

bioRxiv2025

Replication-independent eviction of H2B.8 reveals chromatin reprogramming during seed imbibition

The transition from seed to seedling involves major changes in nuclear organization and gene expression, yet the extent to which this developmental transition requires chromatin reprogramming remains largely unexplored. Here, we report that Arabidopsis dry seed embryos accumulate the histone variant H2B.8, which contributes to higher-order chromatin organization by forming spatial clusters that structure the 3D nuclear space. H2B.8 forms heterotypic nucleosomes at euchromatic transposons and lowly expressed genes and, during imbibition, modulates the transcriptional activation of a subset of these genes. Imbibition triggers a decrease in H2B.8 transcripts and the eviction of H2B.8 proteins in a process that operates independently of DNA replication but requires protein translation and de novo transcription. Histone eviction is not limited to H2B.8 as imbibition also induces the turnover of the H3.3 histone variant, thereby initiating a broad, replication-independent chromatin reprogramming process. These findings highlight a fundamental mechanism of epigenetic regulation during early plant development.

molecular biology↗

bioRxiv2025

Hypobaric hypoxia drives citrate cycle reprogramming to suppress tumor progression

High altitude residents present lower tumor incidence and mortality than plain residents, suggesting that hypobaric hypoxia displays protective effect against tumor development. The results of our studies showed that hypobaric hypoxia exposure significantly suppressed tumor progression in subcutaneous bearing and lung metastasis tumor models. With single-cell transcriptome analysis, we identified HIF-1 pathway was significantly downregulated in tumor tissues with high altitude hypoxia, leading to decreased glycolysis and angiogenesis and improved antitumor immune response. Mechanistically, systemic hypoxia rewired citric acid cycle, with enhanced CS and IDH2 expression and reduced OGDH and SUCLG2 expression, to induce -ketoglutarate accumulation and succinate decline in tumor microenvironment, further mediating HIF-1 pathway inhibition. Moreover, hypobaric hypoxia treatment significantly improved the antitumor effects of adjuvant therapies (including chemotherapy, anti-angiogenic therapy and immunotherapy). Our findings reveal the role and mechanism of hypobaric hypoxia for tumor regression and yield new insights into tumor therapy.

cancer biology↗

bioRxiv2025

Chronic activation of a key exercise signal transducer, CaMKII, drives skeletal muscle aging and sarcopenia

Sarcopenia, the age-related loss of muscle strength and mass, contributes to adverse health outcomes in older adults. While exercise mitigates sarcopenia by transiently activating calcium (Ca2+)- and reactive oxygen species (ROS)-dependent signaling pathways that enhance muscle performance and adaptation, these same signals become chronically elevated in aged skeletal muscle and promote functional decline. Ca2+/calmodulin-dependent protein kinase II (CaMKII) is a key transducer of both Ca2+ and ROS signals during exercise. Here we show that CaMKII is chronically activated in aged muscles, promoting muscle dysfunction. Muscle-specific expression of a constitutively active CaMKII construct in young mice recapitulates features of aging muscles, including impaired contractility, progressive atrophy, mitochondrial disorganization, formation of tubular aggregates, and an older transcriptional profile characterized by the activation of inflammatory and stress response pathways. Mediation analysis identified altered heme metabolism as a potential mechanism of CaMKII-induced weakness, independent of muscle atrophy. Conversely, partial inhibition of CaMKII in aged muscle improved contractile function and shifted the transcriptome toward a more youthful state without inducing hypertrophy. These findings identify chronic CaMKII activation as a driver of functional and molecular muscle aging and support the concept that CaMKII exemplifies antagonistic pleiotropy, whereby its beneficial roles in promoting muscle performance and adaptation during youth may incur deleterious consequences in aging. We propose that persistent CaMKII activation in aged skeletal muscle reflects unresolved cellular stress and promotes maladaptive remodeling. Enhancing physiological reserve capacity through exercise, in combination with temporally targeted CaMKII inhibition, may help restore adaptive CaMKII signaling dynamics and preserve muscle function in aging.

physiology↗

bioRxiv2025

Quantifying spatiotemporal decoupling of GDGT-temperature relationships in a deep alpine lake

Glycerol dialkyl glycerol tetraethers (GDGTs), membrane lipids produced by archaea and some bacteria, are widely used in paleoclimate reconstructions due to their empirical relationship with temperature. However, their application in lakes is complicated by uncertainties in source attribution and environmental controls on their distribution. To address these constraints, we analyzed both branched and isoprenoid GDGTs (brGDGTs and isoGDGTs) in settling particles collected over 19 months using sediment traps at four depths (10, 15, 25 and 35 m) in Lake Lugu, a deep, stratified alpine lake in southwestern China. GDGT fluxes showed synchronous spatiotemporal variations across depths, with higher values during winter mixing than summer stratification, suggesting in situ production enhanced by nutrient upwelling during lake overturn. Correlations between GDGT distributions and high-resolution water temperature profiles revealed strong temperature sensitivity in isoGDGTs, particularly the Ring Index (RI), with peak correlations linked to mean temperatures [~]20 days prior to trap recovery, indicating a clear temporal lag in GDGT-temperature relationship. Moreover, stronger correlations with temperatures at overlying depths, implying vertical transport of isoGDGTs and a dominant autochthonous origin from the upper water column. In contrast, brGDGTs displayed weak or non-significant temperature dependence, likely reflecting distinct microbial sources or other controlling factors. These findings underscore the utility of isoGDGT-based proxies, particularly RI, while highlighting the importance of accounting for spatiotemporal offsets in GDGTs production when reconstructing paleotemperatures in deep, stratified lakes.

ecology↗

bioRxiv2025

Cost-effective genomic prediction for fertility traits: A comparison of machine learning and conventional models using low-coverage sequencing in Holstein heifers

Fertility is one of the major factors affecting the efficiency of dairy herd, and genomic selection (GS) on milk yield, while ignoring fertility, has resulted in a decline in heifer fertility. Consider the cost of breeding, it is important to enhance the accuracy of GS with cost-effective way for fertility traits. This study investigates the genomic prediction (GP) of fertility traits in Holstein heifers using both machine learning (ML) and conventional methods, based on data from SNP arrays and low-coverage sequencing data. In this study, we collected 45,320 Holstein heifers with phenotype and pedigree records, from which we generated genomic data for 3,683 Holstein heifers using lcGWS. We first estimated the heritability for age at first service (AFS), gestation length (GLh) and age at first calving (AFC). We then compared the prediction performance of ML methods, kernel ridge regression (KRR), support vector regression, and random forest regression, with GBLUP, ssGBLUP and BayesR3 regarding GP accuracy and unbiasedness. Inputs for ML includes genomic relationship matrices (GRM), principal components, and SNPs. The results revealed that the heritability for the three fertility traits ranged from 0.09 to 0.48. Prediction accuracy from imputed low-coverage sequencing data was comparable to that from standard SNP chips. When both pedigree and genotypic data were used for GS, ssGBLUP yielded the highest prediction accuracy for AFS and GLh. Crucially, using only genomic data, KRR_GRM improved GP accuracy by up to 28.57% compared to GBLUP and by up to 9.46% compared to BayesR3. Our results highlight the effectiveness of low-coverage sequencing data in breeding applications and the MLs potential to enhance GP accuracy for fertility traits, offering practical insights for dairy breeding programs. ImplicationsTo improve the accuracy of GS with cost-effective way for fertility traits, this study confirms that low-coverage sequencing offers both accuracy and cost-effectiveness for fertility in Holstein heifers. The research provides a decision-making framework for breeding workers: the ssGBLUP model is optimal when combining pedigree data, while machine learning methods are superior with only genomic data. This study offers a practical tool for achieving efficient and economical genetic improvement in dairy cattle.

genomics↗

bioRxiv2025

Antibody evasion and receptor binding of SARS-CoV-2 LP.8.1.1, NB.1.8.1, XFG, and related subvariants

SARS-CoV-2 continues to evolve, causing repeated waves of infections around the world. It is critical to understand the features of the virus that explain its growth advantages. Recently, the SARS-CoV-2 Omicron JN.1 subvariants KP.3.1.1 and XEC were outcompeted by later JN.1 progenies, most prominently LP.8.1 and LP.8.1.1. Other recent JN.1 subvariants, such as LF.7.2.1, which became prevalent in Asia, and MC.10.1, have also been under monitoring. Subsequently, NB.1.8.1 and XFG subvariants began increasing in prevalence, as well. We found that serum neutralizing antibody titers against LP.8.1, LP.8.1.1, LF.7, LF.7.2.1, MC.10.1 were similar to XEC in a cohort of 20 KP.2-based monovalent mRNA vaccine (KP.2 MV) recipients and in a cohort 20 adults who did not receive KP.2 MV. NB.1.8.1 and XFG were more evasive of serum neutralization than LP.8.1.1. We then characterized subvariant susceptibility to monoclonal antibody (mAb) neutralization using a panel of 12 mAbs spanning several epitopes on the SARS-CoV-2 spike, and found that LP.8.1 and XFG, MC.10.1 and NB.1.8.1, and LF.7.2.1 evade different classes of mAbs relative to earlier JN.1 subvariants, even if the tested polyclonal serum neutralizing antibody titers were not different overall. Next, we found that the receptor-binding affinity of LP.8.1 to ACE2 was the highest among the tested viruses, while that of LF.7.2.1 was lowest. Therefore, unlike most prior SARS-CoV-2 sublineage evolutionary trajectories, receptor-binding affinity, possibly reflecting enhanced transmissibility-and not increased antibody evasion-better explained the rise of LP.8.1, while the expansion of NB.1.8.1 and XFG again appear correlated with their enhanced antibody evasion.

microbiology↗

bioRxiv2025

Population-scale sequencing resolves correlates and determinants of latent Epstein-Barr Virus infection

Epstein-Barr Virus (EBV) is an endemic herpesvirus implicated in autoimmunity, cancer, and neurological disorders. Though primary infection typically resolves with subclinical symptoms, long-term complications can arise due to immune dysregulation or viral latency, in which EBV DNA is detectable in blood for decades. Despite the ubiquity of this virus, we have an incomplete understanding of the highly variable responses to EBV that range from asymptomatic infection to a trigger for severe disease. Here, we demonstrate that existing whole genome sequencing (WGS) data contains ample non-human DNA sequences to reconstruct a molecular biomarker of latent EBV infection consistent with orthogonal phenotypes, including viral serology. Using the UK Biobank (n = 490,560) and All of Us (n = 245,394), we uncover reproducible complex trait associations that nominate latent blood-derived EBV DNA as a respiratory, autoimmune, and cardiovascular disease biomarker. Further, we evaluate the genetic determinants of persistent EBV DNA via genome-wide and exome-wide association studies, uncovering protein-altering variants from 147 genes. Single-cell and pathway-scale enrichment analyses implicate variable antigen processing and presentation as a primary genetic determinant of latent EBV persistence, with gene programs expressed in B cells and antigen-presenting cells. Using predicted viral epitope presentation affinities, we implicate genetic variation in MHC class II as a key modulator of EBV DNA persistence. Our analyses demonstrate how existing WGS data can derive novel molecular biomarkers, which may generalize to dozens of viruses comprising the blood virome1.

genetics↗

bioRxiv2025

High glucose levels impair the body's renal protective function during water deprivation by blunting the FXR-TonEBP axis

BackgroundDehydration often leads to kidney-related complications, yet its impact on diabetic patients remains underexplored. This study aimed to investigate the effects of dehydration on diabetic nephropathy(DN) and the underlying mechanisms of injury. MethodsWe analyzed clinical outcomes in 81 dehydration-induced acute kidney injury patients (35 with diabetes) and validated findings in streptozotocin-induced diabetic mice subjected to intermittent water deprivation (WD). Renal function, histopathology, and molecular markers (FXR, TonEBP, AQP2, gp91, apoptosis regulators) were assessed. ResultsKidney injury was aggravated after water deprivation in patients with diabetics and it is difficult to recover after water supplementation, with poor prognosis. Animal experiments have shown that compared with mice in a normal state, dehydration challenge aggravated renal damage in diabetic mice with increased serum creatinine, pathological damage, and renal interstitial cell apoptosis. Mechanistically, in a normal state FXR-TonEBP axis was enhanced to protect the kidney after water deprivation challenge, but this compensatory protective response was blunted in the diabetic state. ConclusionHyperglycemia blunts the FXR-TonEBP-osmolyte pathway during dehydration, compromising renal medullary protection. Targeting this axis may mitigate dehydration risks in diabetic nephropathy.

physiology↗

bioRxiv2025

Borzoi-informed fine mapping improves causal variant prioritization in complex trait GWAS

1Genome-wide association studies (GWAS) have identified thousands of trait-associated loci. Prioritizing causal variants within these loci is critical for characterizing trait biology. Statistical fine mapping identifies causal variants at trait-associated loci, but linkage disequilibrium (LD) and limited GWAS sample sizes prevent the resolution of many associations. Functionally informed approaches augment fine mapping by estimating variant prior causal probabilities based on overlap with trait-relevant functional annotations. However, functional enrichment provides only an indirect proxy for variant functional impact. Sequence-to-function models directly estimate variant effects on molecular phenotypes from underlying sequence context. Borzoi is a long-context model that predicts sequence determinants of transcription, splicing, and polyadenylation across diverse tissues and cell types. Here we present Sniff, a Borzoi-informed fine-mapping approach that integrates broad genomic functional annotations with Borzoi-predicted variant effects via PolyFun to estimate variant prior causal probabilities. Applied to 15 UK Biobank traits, Sniff identifies 9.45% additional fine-mapped variants compared to PolyFun-Baseline at posterior inclusion probability (PIP) > 0.8. Sniff-prioritized variants exhibit allele-specific activity in reporter assays and are predicted to have tissue-specific activity in trait-relevant tissues. For most traits, genes nominated by Sniff receive higher scores from the orthogonal gene prioritization method PoPS compared to genes nominated using functional annotations alone. Because differentially prioritized variants are driven by Borzoi predictions, we leverage attribution techniques to characterize sequence features underlying fine mapping and generate mechanistic hypotheses for GWAS associations.

genetics↗

bioRxiv2025

Cell Type-Specific Changes in Dendritic Spines Across Adolescence Within Mouse Medial Prefrontal Cortex

Across species, cognitive capacities that rely on the frontal cortex do not fully mature until adulthood. Adolescent circuit refinement, including structural remodeling of dendritic spines, is believed to underlie this protracted maturation. Understanding cell type-dependent patterns of structural maturation would provide important insight into frontal cortex development. Here, we leveraged retrograde adeno-associated viruses to quantify dendritic spines on pyramidal tract (PT) vs. intratelencephalic (IT) neuronal populations in parallel within the mouse medial prefrontal cortex (mPFC) across adolescence. IT-type neurons showed opposing changes in mushroom and thin spines that were: 1) consistent with increasing synaptic maturity and 2) largely absent in PT-type neurons. We next probed the function of brain-resident immune cells, microglia, by transiently ablating them within the mPFC at mid-adolescence. This led to cell type-dependent changes in dendritic spines in late adolescence, with thin spine proportion increasing on both cell types but total spine density increasing on IT-type neurons only. Meanwhile, there was no effect on performance in an mPFC-dependent task of cognitive flexibility at either late adolescent or adult time points following microglia ablation. These findings provide evidence that mPFC IT-type neurons undergo greater spine remodeling during adolescence compared to PT-type neurons and implicate microglia as potential mediators.

neuroscience↗

bioRxiv2025

Dual-view microscopy of single-molecule dipole orientations

Measuring dipole orientations of fluorescent probes offers unique local structural insights of labelled biomolecules and has seen expanding applications in structural biology studies. Here we propose an alternative imaging geometry, dual-view microscopy, for single-molecule dipole orientation measurements. We develop a protocol capable of simultaneously measuring absorption and emission dipole orientations of single emitters. Further, through simulation, we demonstrate that absorption dipole orientation can be accurately measured with high and uniform precision in three dimensions, significantly outperforming epifluorescence microscopy. Meanwhile the emission dipole is independently narrowed down to four possible orientations and can be uniquely determined with the co-estimated absorption dipole. Dual-view microscopy represents a new paradigm in single-molecule orientation sensing and could have unique applications in imaging under cryogenic temperatures. WHY IT MATTERS?The transition dipole orientations of fluorescent molecules bound to target biomolecules give access to the targets local structural information, therefore can serve as unique probes in structural biology. This work proposes an alternative imaging geometry, referred to as dual-view microscopy for more efficient three-dimensional single-molecule dipole orientation measurements compared to existing schemes. We demonstrate using simulation that our scheme outperforms conventional epifluorescence microscopy in estimation precision and can simultaneously measure absorption and emission dipole orientations independently. Dual-view microscopy represents a new paradigm that will further advance single-molecule orientation imaging as an emerging structural biology tool.

biophysics↗

bioRxiv2025

Targeting PI3K Signaling for Broad Inhibition of β-Coronavirus Infection

The phosphatidylinositol 3-kinase (PI3K) signaling pathway plays a central role in regulating key cellular processes such as survival, metabolism, and immune responses. Aberrant activation of this pathway is associated with tumorigenesis, and several PI3K inhibitors have been developed as anticancer agents. Emerging evidence suggests that viruses, including {beta}-coronaviruses, have evolved mechanisms to exploit host PI3K signaling for their replication and immune evasion. In this study, we evaluated the antiviral efficacy of a panel of PI3K inhibitors against {beta}-coronaviruses, including mouse hepatitis virus (MHV), human OC43 (HuCoV-OC43) and four major SARS-CoV-2 variants using both cell line and organoid models. Our findings reveal that these compounds exhibit low micromolar potency in inhibiting viral replication. Notably, the inhibitor C20 (PWT33597) demonstrated broad-spectrum activity against multiple {beta}-coronaviruses, including SARS-CoV-2, MHV, and HuCoV-OC43, in conventional cell lines as well as in air-liquid interface (ALI)-cultured, differentiated primary human nasal and bronchial epithelial cells. Given that cytokine storm is a major contributor to SARS-CoV-2-related multiorgan failure and mortality, we further explored the impact of PI3K inhibition on host inflammatory responses. We found that MHV infection markedly increased cytokine expression in 17CL-1 fibroblasts and RAW264.7 macrophages. Interestingly, treatment with C20 further amplified cytokine production in this context, suggesting complex immunomodulatory effects that warrant further investigation. Together, our findings support the therapeutic potential of repurposing PI3K inhibitors as broad-spectrum antivirals. These compounds not only suppress viral replication but may also influence host immune responses, providing a promising avenue for intervention against current and emerging coronavirus threats.

microbiology↗

bioRxiv2025

Deciphering the microbial landscape of lower respiratory tract in health and respiratory diseases

The microbiota plays an important role in maintaining lung homeostasis and the development of respiratory diseases. However, there have not been detailed characteristics of lung microbiome in health and respiratory diseases. Bronchoalveolar lavage fluid of 43 healthy individuals, 23 COVID patients, and 28 non-small cell lung cancer patients was conducted to characterize microbial diversity and function by metagenomic sequencing. We identified 196 species in health lung after removing low abnudance species. The most abundant species were Staphylococcus aureus, Salmonella enterica, and Klebsiella pneumoniae. Keystone species were identified through co-network analysis, such as Granulicatella adiacens and Mogibacterium diversum. To further explore the microbial function in the healthy lung, we obtained 56 non-redundant metagenome-assembled genomes (MAGs) and subsequently classified them into nine phyla. Metabolism and genetic information processing exhibit high abundance, including bacterial secretion systems, protein export, and Staphylococcus aureus infection, indicating a close correlation between microbiota and the host. Furthermore, the microbiome pairwise distances of non-small cell lung cancer (NSCLC) participants were more similar to those of the healthy group than those of individuals with COVID-19. Rothia dentocariosa, Corynebacterium kefirresidentii, Sphingobium yanoikuyae were enriched in the healthy group, while Schaalia odontolytica, Actinomyces graevenitzii, and Rothia mucilaginosa was enriched in the NSCLC group. Overall, this study provides a comprehensive overview of the diversity and gene function of the lung microbiome, which will facilitate future studies of microbiota associated with respiratory diseases in humans.

microbiology↗