Biomedical subjects

Yan Liu

Publications and source records attributed to Yan Liu.

At least 19 recordsLinked to original sources

PubMed2026

A Standardized Nursing-Led Protocol Integrated Pain, Sleep, Medication Adherence, and Symptom Management in Postherpetic Neuralgia.

Postherpetic neuralgia (PHN) is a persistent neuropathic pain condition after herpes zoster that frequently coexists with sleep disturbance, medication-related problems, and fluctuating symptoms. This study evaluated whether a standardized nursing-led protocol could improve multidimensional short-term outcomes beyond usual care. In this prospective, parallel-group randomized controlled trial, 128 adults with PHN were allocated 1:1 to usual care or usual care plus an eight-week protocol integrating structured pain assessment, sleep monitoring, medication-adherence support, and rule-based digital symptom monitoring. The primary outcome was the between-group difference in change in Numeric Rating Scale (NRS) pain score from baseline to Week 8. Secondary outcomes included Pittsburgh Sleep Quality Index (PSQI), MMAS-8 medication adherence, symptom burden, pain-related nocturnal awakenings, breakthrough pain, rescue analgesic use, adverse events, rule-based alerts, and nursing satisfaction. Week-8 data were available for 116 participants (57 usual care; 59 protocol). Mean NRS scores decreased from 7.19 ± 1.08 to 4.82 ± 1.53 in the usual-care group and from 7.28 ± 1.05 to 3.24 ± 1.28 in the protocol group. An NRS reduction of at least 2 points occurred in 49.1% and 76.3% of participants, respectively. The protocol group also showed larger improvements in PSQI, MMAS-8, symptom burden, and nocturnal awakenings, with fewer breakthrough-pain episodes and less rescue-analgesic use. These findings support further evaluation of the standardized nursing-led protocol in preregistered multicenter trials with intention-to-treat analyses and longer follow-up.

Humans↗

PubMed2026

Preliminary Exploration on Melatonin-Mediated Protective Effects in Intracranial Aneurysms: Transcriptomic, Proteomic, and Metabolomic Profiling of Cerebral Vascular Tissues Combined with in vivo Animal Experiments.

BACKGROUND: Intracranial aneurysm (IA) is a life-threatening cerebrovascular disease with unclear molecular mechanisms and limited drug treatment. Our previous research has shown that melatonin (MLT) has potential protective effects in IA, but its mechanism remains unclear. The purpose of this study is to explore the pathological mechanism of IA and the therapeutic mechanism of MLT by integrating transcriptomic, proteomic and metabolomic analyses. METHODS: In this study, mouse models of IA were successfully established by combining elastase injection with angiotensin II infusion. C57BL/6 mice were divided into control, IA model, IA model+MLT, and IA model+nimodipine groups. The pathological conditions were evaluated by hematoxylin-eosin (HE) staining, TUNEL staining, and scanning electron microscopy. Transcriptomic (n=3 for each group), proteomic (n=3 for each group), and metabolomic (n=6 for each group) analyses were performed based on cerebral vascular tissue samples. The screening thresholds for differentially expressed genes and differentially expressed proteins were P <0.05 and fold change >1.5 and fold change <0.667. The screening criteria for differential metabolites were variable importance for the projection (VIP)> 1.0, fold change >1.2 and fold change <0.833, and P <0.05. RESULTS: MLT alleviated brain tissue damage, vascular endothelial damage, structural disruption, and apoptosis in IA mice. Transcriptomic, proteomic and metabolomic analyses identified numerous differential molecules. Functional annotation revealed that these molecules may be involved in biological pathways and processes such as immune inflammation, vascular remodeling, extracellular matrix remodeling, neuropeptide activity, oxidative stress and metabolic pathways, thereby regulating the occurrence and development of IA or mediating the therapeutic effects of MLT. Furthermore, transcriptomic and proteomic analyses also suggest that there may be extensive post-transcriptional, translational and post-translational regulatory events in the progression of IA and the therapeutic effects of MLT. Integrated transcriptomic and proteomic analyses suggest that Npy may be a key molecule in regulating IA progression and mediating MLT therapeutic effects, and its potential value is further supported by our immunohistochemical validation results. CONCLUSION: Multi-omics integrative analysis preliminarily revealed that the potential mechanisms of MLT may involve the regulation of inflammatory response, vascular remodeling, extracellular matrix remodeling, neuropeptide activity, oxidative stress, metabolic pathways, and post-transcriptional/translational regulation.

Animals↗

PubMed2026

Genome-Wide Identification of SSR and InDel Markers and Experimental Validation of SSR Markers for Distinguishing Cold-Tolerant and Cold-Sensitive Lily Cultivars.

In this study, whole-genome resequencing was performed on the cold-tolerant variety ND-6 and the cold-sensitive variety 'Sorbonne'. After evaluation, the Lilium davidii var. unicolor reference genome was selected to analyze SSR distribution characteristics. Whole-genome InDel identification and comparative analysis were conducted for the two varieties, yielding 34,812,909 and 24,497,857 InDels, respectively. Short InDels were predominant, with deletions slightly outnumbering insertions, mostly located in intergenic regions. Twenty pairs of SSR primers were screened and synthesized. Among them, 10 pairs amplified clearly, with a polymorphism rate of 82.6%, effectively distinguishing the two cultivars examined in this study. This study provides systematic data and a reliable marker resource for the analysis of lily genomic variation, laying a foundation for the identification of cold-tolerant germplasm; validation across additional cultivars and individuals will be required to extend their utility to broader germplasm.

cold resistant lilies↗

PubMed2026

A conserved COBL3-like protein promotes PDLP5-dependent callose accumulation to confer broad-spectrum plasmodesmata-mediated antiviral defense.

Plasmodesmata (PDs) play vital roles in plant growth and defense by controlling the symplastic transport of important molecules. Here we report that a conserved COBRA-like protein, COBL3, positively regulates callose accumulation and is required for PD-mediated antiviral defense (PMAD) against divergent plant RNA viruses in wheat (Triticum aestivum) and tobacco (Nicotiana benthamiana). The wheat COBL3 protein, TaCOBL3, interacts with the 17K movement protein (MP) of barley yellow dwarf virus-GAV (BYDV-GAV). TaCOBL3 is associated with the plasma membrane and co-localizes with 17K MP at PDs. Genetic analysis with overexpression and knockout lines revealed that TaCOBL3 positively regulates wheat defense against BYDV-GAV by modulating callose accumulation at PDs. Interestingly, TaCOBL3 interacts with the wheat homolog of PDLP5, a conserved key regulator of PD permeability in higher plants. Silencing TaPDLP5 attenuates the elevated BYDV-GAV defense conferred by overexpression of TaCOBL3 in wheat. Furthermore, transient expression of TaCOBL3 promotes callose accumulation and lowers PD permeability in tobacco cells, and these effects are largely compromised when tobacco PDLP5 is silenced. Notably, BYDV 17K MP weakens the interaction between TaCOBL3 and TaPDLP5 and inhibits their callose-binding activities. Finally, silencing of tobacco NbCOBL3 reduces callose content and attenuates host defense against two tobraviruses, one potexvirus, and one hordeivirus. Overall, our study reveals a previously unknown role of COBRA-like proteins in PMAD and provides insight into how a plant viral MP sabotages PMAD by perturbing the COBL3-PDLP5 interaction to facilitate virus spread through PDs. The conserved COBL3 gene may be a valuable target for engineering of broad-spectrum antiviral resistance in crop plants.

COBRA-like protein↗

PubMed2026

Metagenomic profiling of tick-borne viromes across four ecologically diverse provinces in China.

Ticks are important vectors of emerging viruses, and China's ecological landscapes may influence the transmission dynamics of tick-borne viruses (TBV). In 2021, a total of 2867 ticks collected from Inner Mongolia, Hebei, Hunan, and Hainan provinces were subjected to metagenomic sequencing to characterize TBV diversity. A total of eleven TBVs were identified, comprising three members of the family Phenuiviridae (severe fever with thrombocytopenia syndrome virus, Lihan tick virus, Dabieshan tick virus), three belonging to Nairoviridae (Huangpi tick virus 1, Shanxi tick virus 2, Henan tick virus), one in Chuviridae (Wuhan tick virus 2), one in Rhabdoviridaes (Wuhan tick virus 1), and three unclassified viruses (Hubei tick virus 2, Bole tick virus 4, and Tacheng tick virus 7). Viral composition varied significantly across tick species and geographic regions, with phylogenetic analysis revealing distinct regional clustering patterns. Notably, Lihan tick virus was detected for the first time in Hunan Province, Bole tick virus 4 was identified in argasid ticks from Inner Mongolia for the first time, and a novel lineage of severe fever with thrombocytopenia syndrome virus was discovered in Shijiazhuang, Hubei Province. These findings underscore substantial TBV diversity shaped by tick species and geographic origin, emphasizing the necessity for ongoing surveillance to guide the development of targeted prevention and control strategies.

Animals↗

PubMed2026

NAT10 is critical to block RNA sensing-induced IFN-β transactivation in viral infection.

UNLABELLED: Cells detect invading viruses and produce type I interferons (IFNs) to stimulate an innate antiviral effector response. However, IFN levels must be fine-tuned to achieve antiviral efficacy while limiting hyperinflammatory and tissue-damaging effects. Here, we report that NAT10, a histone and cytidine acetyltransferase, regulates the production of type I IFNs and RNA virus infections. Depletion of NAT10 increased the expression of IFN-β and IFN-stimulated genes, and correspondingly impaired viral replication. Mechanistically, NAT10 dynamically associated with the IFN-β promoter and also negatively regulated IRF3's chromatin associations through modulation of long noncoding RNAs that inhibit IRF3. Treatment of cells with Remodelin, a NAT10 inhibitor, similarly increased IFN-β expression and inhibited viral infections. Overall, our findings reveal NAT10 is a potential host-directed target for antiviral treatment via regulation of type I IFN. IMPORTANCE: Type I interferons (IFNs) signaling pathway is critical to cellular defense and innate immunity against evading pathogens, including viruses. However, induction of type I IFNs is fine-tuned to achieve the antiviral consequence while maintaining host cellular homeostasis. This paper presents a novel mechanism for the NAT10 protein to silence IFN-β induction through modulation of IRF3 activity at the promoter of IFN-β, and further demonstrates the therapeutic potential of the NAT10 inhibitor Remodelin to restrict viral infection while inducing IFN-β.

Interferon-beta↗

PubMed2026

Reprogrammed Komagataella phaffii for enhanced secretory expression of human lactoferrin.

Human lactoferrin (hLF) is a multifunctional glycoprotein of the transferrin family derived from milk and mucosal secretions, which exhibits antibacterial, anti-tumor, and immunomodulatory functions, and is an important component of infant formula. Conventional methods for lactoferrin expression are often inefficient, primarily due to inadequate protein synthesis capabilities and poor stability within microbial hosts. Herein, a Komagataella phaffii yeast strain capable of high-level secretory expression of hLF was constructed by reprogramming the endoplasmic reticulum (ER) and vacuole using CRISPR/Cas9 technology. A dual-expression cassette containing the AOX1 promoter, an α-secretion signal peptide, the hLF gene, and a terminator was integrated into three different sites of the K. phaffii genome. The stepwise strategy combining expansion of the ER membrane involved in protein synthesis with knockout of vacuolar proteases further enhanced hLF production. Subsequently, 0.1 g/L FeCl₃ was added to the medium to reduce the toxicity of hLF and improve its stability. After high-density cultivation of K. phaffii through optimization of cultivation conditions in shake flasks and a 5 L bioreactor, the secretory intact hLF titer reached 2214 mg/L, representing a 76.3-fold increase achieved through these engineering strategies. In addition, antibacterial experiments demonstrated that this secretory hLF had a significant inhibitory effect on Escherichia coli, Staphylococcus aureus, and yeast. Overall, the developed K. phaffii protein expression platform enabled efficient production of lactoferrin, demonstrating its potential for expressing other lactoproteins.

Lactoferrin↗

PubMed2026

Dictamnine alleviates oxidative stress in rheumatoid arthritis via modulation of the NR1D1-Keap1/Nrf2/ARE axis.

Rheumatoid arthritis (RA) is a persistent systemic disorder of autoimmune origin, with its core pathological manifestation being inflammation of the synovial tissue. The excessive growth of fibroblast-like synoviocytes (FLS) represents a critical pathological mechanism in RA, actively driving the advancement of the condition. Dictamnus dasycarpus Turcz. (D. dasycarpus) exhibits prominent anti-inflammatory effects and shows favorable therapeutic efficacy against RA. Dictamnine (Dic) is a major active component of D. dasycarpus, however, its therapeutic effectiveness and underlying mechanisms in RA have yet to be fully elucidated. This study investigated the effect of Dic on synovial hyperplasia in RA and elucidated the underlying mechanisms. Using a TNF-α-induced human fibroblast-like synoviocyte (HFLS-RA) model and a collagen-induced arthritis (CIA) mouse model, Dic was found to effectively inhibit synovial cell proliferation and pathological hyperplasia. Proteomics analysis was employed to clarify its potential mechanism in ameliorating the disease, and the findings were further validated through hematoxylin and eosin (H&E) staining, immunofluorescence (IF), ROS detection, JC-1 staining, cellular thermal shift assay (CETSA), drug affinity responsive target stability (DARTS) analysis, quantitative real-time polymerase chain reaction (qRT-PCR) and western blotting (WB). The results suggested that the anti-RA activity of Dic is associated with its interaction with the nuclear receptor NR1D1. Moreover, the NR1D1 antagonist SR8278 reversed Dic's effects on Nrf2 and cytoprotection, confirming that Dic functions through NR1D1. This activation consequently influences the Keap1/Nrf2/ARE cascade, leading to decreased intracellular reactive oxygen species (ROS) accumulation and an improvement in compromised mitochondrial membrane potential. siRNA knockdown experiments further confirmed that NR1D1 is a target of Dic and regulates the downstream Keap1/Nrf2/HO-1 signaling pathway, through which Dic ameliorates RA both in vitro and in vivo by upregulating NR1D1 expression to activate the Keap1/Nrf2/ARE antioxidant pathway, thereby mitigating oxidative stress, inhibiting synovial cell proliferation, and ultimately alleviating pathological synovial hyperplasia.

Arthritis, Rheumatoid↗

PubMed2026

cPRC1.2 and CTCF-mediated transition from poised to active chromatin loops at bivalent genes.

Polycomb Repressive Complex 1 (PRC1) and CCCTC-binding factor (CTCF) are critical regulators of 3D chromatin architecture that influence cellular transcriptional programs. Although the role of CTCF in chromatin organization is well-known, the involvement of PRC1 is less understood. In this study, we identify an unexpected role for the canonical Pcgf2-containing PRC1 complex (cPRC1.2) in activating bivalent genes. Hi-C revealed that cPRC1.2 forms chromatin loops at bivalent promoters, rendering them poised for activation. Pcgf2 deletion disrupts cPRC1.2 loops and impairs the transcriptional induction of crucial target genes necessary for neuronal differentiation. Furthermore, we identify CTCF enrichment at cPRC1.2 loop anchors and at Polycomb group (PcG) bodies, suggesting that PRC1 and CTCF cooperatively regulate chromatin loops. Through virtual 4C and other genomic analyses, we discover that establishing neuronal progenitor cell (NPC) identity involves a switch from cPRC1.2-mediated chromatin loops to CTCF-mediated active loops. Our results suggest a novel mechanism by which pre-formed PRC1 loops at lineage-specific genes maintain a poised state for subsequent CTCF-mediated active loops and gene activation in cell fate transitions.

CCCTC-Binding Factor↗

PubMed2026

SSR marker development for analysis of the genetic diversity and identification of species and infraspecific ranks in the genus Phyllostachys.

Bamboo plants possess important ecological, economic, and cultural values. However, it is difficult to accurately identify them on the basis of their morphological traits alone. Here, based on the whole-genome data of moso bamboo (Phyllostachys edulis) and its 20 forms, we conducted preliminary identification and comparative analyses of simple sequence repeats (SSRs) to develop molecular markers. In total, 3,835,632 SSR loci were identified from 31,537.81 Mb of genomic sequences, among which dinucleotide SSRs were the most abundant. Most SSRs were located in intergenic regions, whereas relatively fewer were in genic regions. In addition, we found that SSR-containing genes involved in plant hormone signal transduction may be associated with the morphogenesis of moso bamboo, which was speculated to be related to differential gene expression patterns among different forms. Furthermore, 206 SSR primer pairs with polymorphisms were obtained to analyse the genetic diversity of moso bamboo and its forms, which exhibited moderate polymorphism. The proportion of genetic variation among species within the genus Phyllostachys was 58%, while that within species was 42%. Moso bamboo and its 20 forms had relatively close genetic relationships and low genetic differentiation, while 20 species of the genus Phyllostachys were clustered into three groups with distinct levels of genetic diversity. Finally, DNA fingerprints and molecular identity cards were constructed for 20 moso bamboo forms and 20 species of the genus Phyllostachys using core SSR markers. These results provide novel SSR markers for bamboo identification, germplasm conservation, and molecular marker-assisted breeding.

Microsatellite Repeats↗

PubMed2026

Population and landscape genomics provide insights into the adaptive genetic variation and future climate-induced vulnerability of the endangered tree species Phoebe bournei.

Elucidating the genomic underpinnings of adaptive variation is highly important for the conservation, landscape application, and management of ornamental trees against the backdrop of global climate change. However, research on the genetic mechanisms underlying climate adaptation in Phoebe bournei-a near-threatened subtropical tree species endemic to China, which is endowed with exceptionally high ornamental and ecological value-remains scarce. Whole-genome resequencing was conducted on 362 individuals from 27 natural populations across the geographical range of the species. Genome-environment association analyses were employed to identify 1556 climate-associated variants and 167 candidate genes associated with temperature and precipitation variables. Through functional annotation and expression profiling, pivotal genes, including TRX-M4 and FBD1, were identified as integral to drought and heat stress responses, with adaptive alleles displaying distinct geographic frequency distributions and significant phenotypic differentiation. Divergent evolutionary trajectories were deduced among populations, with southeastern populations distinguished by elevated genetic diversity and strong signatures of local adaptation. Nevertheless, projections derived from the Risk of Non-Adaptedness and gradient forest models suggest that these southeastern populations will face substantial genomic offset under future climate scenarios, signaling heightened vulnerability and the need for prioritized conservation and management. This study provides the first genome-wide perspective into the adaptive evolution of P. bournei and offers a robust foundation for its conservation and climate-resilient management.

Journal Article↗

PubMed2026

In vivo epigenome editing reduces circulating lipids and attenuates atherosclerosis in mice.

Atherosclerotic cardiovascular disease remains the leading cause of global mortality, with hypercholesterolemia serving as a critical driver of atherogenesis. Although current lipid-lowering therapies substantially improve circulating lipid profiles, strategies that provide more durable, safe, and efficient control of lipid metabolism are still needed. Epigenome editing offers a promising approach for long-lasting repression of disease-modifying genes without altering the underlying DNA sequence. Here, we develop CRISPRoff platforms delivered by adeno-associated virus or lipid nanoparticle to epigenetically silence hepatic Hmgcr or Pcsk9 in vivo. In both C57BL/6J wild-type and ApoE-/- mice, CRISPRoff mediates robust and durable repression of these targets, leading to marked reductions in circulating total cholesterol, low-density lipoprotein cholesterol, and triglycerides. In the ApoE-/- context, epigenetic silencing of Pcsk9 confers pronounced vascular protection, including decreased lipid accumulation in the liver and aortic root, reduced necrotic core formation, diminished macrophage infiltration, and enhanced plaque stability. Together, these results provide proof of principle that CRISPRoff-based epigenome editing enables stable repression of clinically relevant targets and ameliorates key features of atherosclerotic disease. This work lays the foundation for broader therapeutic applications of epigenetic modulation in cardiovascular disorders.

Animals↗

PubMed2026

Genome- and peak-informed two-stage framework for scATAC-seq cell type identification.

MOTIVATION: Accurate cell type annotation is essential in scATAC-seq analysis, as it underpins the characterization of cellular heterogeneity, the identification of regulatory elements, and downstream biological discovery. However, current annotation methods still face major challenges. First, although some approaches attempt to integrate genomic sequence information, they typically rely on shallow sequence representations and thus fail to capture the long-range dependencies and regulatory signals encoded in DNA. Second, substantial batch effects introduced by different platforms, sequencing batches, or tissue sources remain insufficiently addressed. Existing models often lack robust distribution alignment and domain generalization capabilities, leading to confounding non-biological variation and reduced annotation accuracy across datasets. RESULTS: To overcome these limitations, we propose seqAlignATAC, a two-stage intra-modality annotation framework that integrates sequence-derived embeddings with domain adaptation. In the first stage, we employ a large-scale pretrained nucleotide language model to extract low-dimensional, biologically informative representations from the genomic sequences of chromatin-accessible peaks. In the second stage, these embeddings are fed into a supervised neural network equipped with an adaptive alignment module to mitigate batch effects and harmonize feature distributions between labeled reference and unlabeled target datasets. Extensive experiments across multiple settings demonstrate that seqAlignATAC achieves competitive accuracy and robustness, effectively leveraging genome-level information while alleviating batch-induced distributional discrepancies. AVAILABILITY AND IMPLEMENTATION: The source code of seqAlignATAC is available at: https://github.com/BioCS-Lab/seqAlignATAC.

Humans↗

PubMed2026

Cell-type specific activation of the cGAS-STING pathway in tumor immunotherapy: mechanisms and therapeutic implications.

BACKGROUND: The cyclic GMP–AMP synthase–stimulator of interferon genes (cGAS–STING) pathway acts as a pivotal innate immune sensor that detects cytosolic DNA and links genomic instability to antitumor immune activation. Therapeutic activation of this pathway has garnered substantial interest as a strategy to enhance cancer immunotherapy by promoting dendritic cell maturation, augmenting antigen presentation, and facilitating cytotoxic lymphocyte infiltration. However, the functional outcomes of cGAS–STING signaling are highly context dependent and influenced by both cell type and tumor microenvironmental (TME) conditions. MAIN BODY: Recent advances in single-cell and spatial transcriptomic profiling have revealed profound heterogeneity in cGAS–STING activation across distinct cellular and regional compartments within tumors. Acute and spatially restricted activation of the pathway can elicit potent antitumor immune responses, whereas chronic or dysregulated signaling may promote immune tolerance and tumor progression. Moreover, metabolic stress, epigenetic silencing, and microenvironmental immunosuppressive factors such as TGF-β and IL-10 can further modulate STING activity, leading to resistance to immunotherapy. Current translational efforts focus on next-generation STING agonists, nanoparticle-based delivery systems, and rational combination strategies with immune checkpoint blockade and metabolic modulators to overcome tumor-intrinsic resistance and minimize systemic toxicity. CONCLUSIONS: Understanding the cell-type-specific and spatial dynamics of cGAS–STING signaling is crucial for the rational design of precision immunotherapies. Future research should emphasize context-dependent modulation of STING activity to maximize therapeutic benefit while limiting adverse effects. Integrating multi-omics technologies and spatially guided drug delivery may ultimately enable personalized modulation of the cGAS–STING axis, transforming it into a clinically effective and safe strategy for cancer immunotherapy.

Humans↗

PubMed2026

Artificial intelligence-assisted histopathological diagnosis of endocervical gastric-type adenocarcinoma: a multicenter model development and validation study.

Endocervical gastric-type adenocarcinoma (GAS) is one of the most aggressive subtypes of cervical cancer and is frequently underdiagnosed due to morphological ambiguity, leading to delayed diagnosis. Despite the availability of molecular and genomic assays, their high cost, complexity, and limited reproducibility restrict clinical use. This study therefore proposes a highly sensitive artificial intelligence (AI)-assisted diagnostic system for GAS based exclusively on H&E-stained histopathological images. We included 309 slides from 96 GAS cases collected at Peking University Third Hospital from January 2018 to January 2025, representing the largest GAS cohort reported to date for AI research. In addition, we incorporated other morphologically analogous diseases, encompassing a total of 1,320 slides sourced from four categories: normal cervical mucosa (NORM), benign endocervical lesion entities (BELE), HPV-associated adenocarcinoma (HPVA), and endometrioid carcinoma with mucinous differentiation (ECMD). We developed GASPath, based on a novel multiple instance learning framework that efficiently captures fine-grained morphological variations from H&E-stained images. Beyond internal validation, GASPath was evaluated across 12 independent retrospective cohorts and further subjected to large-scale real-world validation on more than 7,000 samples from March 2024 to April 2025. Across three stages, GASPath demonstrated high performance. In internal validation (Stage I), it achieved an accuracy of 0.980 (95% CI 0.977-0.983) and an ROC-AUC of 0.995 (95% CI 0.994-0.997). In external validation (Stage II), the sensitivity reached 0.902 and improved to 0.968 with proposed strategies. For biopsy samples, GASPath achieved an ROC-AUC of 0.990 (95% CI 0.984-0.997). In large-scale real-world deployment (Stage III, n = 7,056), GASPath achieved a balanced accuracy of 0.953, with 100% sensitivity for GAS (45/45 cases correctly identified). The heatmaps highlight morphological features of GAS that are easily underestimated, such as irregular, angulated glands, subtle loss of nuclear polarity, and mild cytologic atypia, which show substantial morphological overlap with other diagnostic categories. GASPath enables high-sensitivity detection of GAS in routine H&E-stained slides, obviating the need for extensive auxiliary testing while preventing underdiagnosis and misdiagnosis. This advancement addresses a critical gap by streamlining diagnostic workflows without compromising accuracy. Its implementation could enable cost-effective, scalable AI-assisted diagnostics, potentially transforming the early detection and management of this aggressive cancer subtype.

Female↗

PubMed2026

Mutation in THO2, a component of THO/TREX complex, causes transcriptional gene silencing and genome-wide DNA methylation changes.

DNA methylation plays important roles in silencing of transgenes, endogenous genes, and transposable elements (TEs). To identify genes involved in antagonizing transcriptional or DNA hypermethylation-induced gene silencing, a genetic screening was conducted and thus a tho2-8 mutant was recovered. THO2 is a major component of the THO/TREX (Transcription-Export) complex, which plays essential roles in mRNA export. The tho2-8 mutation caused overaccumulation of DNA methylation on a d35S promoter ahead of LUC, suggesting its roles in antisilencing of transgenes. This mutation also resulted in significant genome-wide alterations in DNA methylation in a locus-specific manner, including 2513 hyper-DMRs and 1717 hypo-DMRs. The hyper-DMRs in the tho2-8 mutant not only exhibited a considerable overlap with those in DNA demethylation mutants (like ros1-7), but also with hypo-DMRs from nrpd1-3 and nrpe1-11 mutants, demonstrating that THO2 is able to protect those loci targeted by DNA demethylation and/or RdDM pathways from hypermethylation. The tho2-8 mutant also contained a plethora of CHH hypo-DMRs, which overlapped in large numbers with those from the nrpd1-3 and nrpe1-11 mutants, indicating that THO2 is required for the establishment/maintenance of DNA methylation at many loci. Additionally, the tho2-8 mutation caused an increase in overall 24-nt siRNA levels and many upregulated and downregulated DEGs/DETEs. The effects of THO2 on DNA methylation patterns appeared to be associated with the functioning of Pol IV and Pol V because THO2 physically interacted with NRPD7 and was necessary for normal accumulation levels of several Pol V-dependent IGNs' transcripts. Thus, this study provided valuable insights into new roles of THO2 in DNA methylation patterning.

DNA Methylation↗

PubMed2025

Construction and accuracy assessment of an efferocytosis-related prognostic model for ovarian cancer: A diagnostic accuracy study.

The study aimed to investigate the prognostic significance of efferocytosis-related genes in ovarian cancer (OC) with regard to cancer development, progression, invasion, and metastasis. OC cohorts were assembled from bioinformatics repositories. Utilizing consensus clustering analysis, distinct clusters were delineated based on the intersection of OC-related genes and efferocytosis-related genes. A prognostic signature specific to efferocytosis in OC was developed using data from The Cancer Genome Atlas, validated against the gene expression omnibus database, and subjected to independent prognostic analysis. Subsequently, a nomogram model was formulated. Moreover, investigations encompassed the immune microenvironment, immunotherapy, mutation profiling, drug sensitivity assessments, drug prediction models, and molecular docking analyses. Finally, quantitative reverse transcription polymerase chain reaction (qRT-PCR) assays were employed to ascertain the mRNA expression levels of key genes. Five key genes, FCGBP, BTN3A3, WDR91, SLC25A45, and BTNL3, were identified as significantly associated with OC. Both datasets and qRT-PCR demonstrated elevated expression levels of FCGBP and WDR91 in OC. Notably, AFLATOXIN B1 exhibited strong binding affinity to SLC25A45, ciclopirox to BTN3A3, and irinotecan to WDR91. The risk score, age, and stage were identified as independent prognostic factors, with the nomogram displaying efficacy in predicting OC patient survival. Variations in the immune cell infiltration profiles, including naive B cells, and expression levels of 6 immune checkpoint genes, such as CTLA4, were notable. High tumor mutation burden scores were associated with improved survival outcomes. Additionally, significant differences in the IC50 values of 123 anticancer drugs were observed between the 2 risk groups. This findings of this study highlight the efficacy of the efferocytosis-associated risk model in predicting the survival outcomes of OC patients, thus providing a novel reference for prognostic prediction in OC patients.

Humans↗

PubMed2025

A Graph Contrastive Learning Method for Enhancing Genome Recovery in Complex Microbial Communities.

Accurate genome binning is essential for resolving microbial community structure and functional potential from metagenomic data. However, existing approaches-primarily reliant on tetranucleotide frequency (TNF) and abundance profiles-often perform sub-optimally in the face of complex community compositions, low-abundance taxa, and long-read sequencing datasets. To address these limitations, we present MBGCCA, a novel metagenomic binning framework that synergistically integrates graph neural networks (GNNs), contrastive learning, and information-theoretic regularization to enhance binning accuracy, robustness, and biological coherence. MBGCCA operates in two stages: (1) multimodal information integration, where TNF and abundance profiles are fused via a deep neural network trained using a multi-view contrastive loss, and (2) self-supervised graph representation learning, which leverages assembly graph topology to refine contig embeddings. The contrastive learning objective follows the InfoMax principle by maximizing mutual information across augmented views and modalities, encouraging the model to extract globally consistent and high-information representations. By aligning perturbed graph views while preserving topological structure, MBGCCA effectively captures both global genomic characteristics and local contig relationships. Comprehensive evaluations using both synthetic and real-world datasets-including wastewater and soil microbiomes-demonstrate that MBGCCA consistently outperforms state-of-the-art binning methods, particularly in challenging scenarios marked by sparse data and high community complexity. These results highlight the value of entropy-aware, topology-preserving learning for advancing metagenomic genome reconstruction.

canonical correlation analysis↗