Biomedical subjects

Yang Liu

Publications and source records attributed to Yang Liu.

At least 19 recordsLinked to original sources

PubMed2026

Metagenome-resolved evidence that soluble factors in granular activated carbon-amended reactor effluent reprogram propionate metabolism and methanogenic pathways.

Granular activated carbon (GAC) enhances anaerobic digestion performance, yet the mechanisms underlying reactor-scale improvements remain incompletely understood, particularly how GAC affects biomass not attached to its surface. Here, sludge from a non-GAC up-flow anaerobic sludge blanket reactor was incubated with 0.45-μm-filtered effluents from non-GAC and GAC-amended reactors under repeated propionate loading, followed by genome-resolved metagenomics. GAC-reactor effluent increased methane yield from 64 ± 3% to 76 ± 3% (p < 0.01) in the absence of GAC particles. A non-redundant catalog of 170 quality-filtered metagenome-assembled genomes (MAGs) was recovered, enabling pathway- and gene-set quantification. Genomic potential for both major propionate-oxidation routes increased in the GAC-effluent group relative to the non-GAC group, with a larger increase for the methylmalonyl-CoA (MMC) route than for the dismutation route (1.289- versus 1.221-fold). Accordingly, the MMC-to-dismutation preference ratio was 5.60% higher in the GAC-effluent group, alongside a broader carrier base. Cobamide potential shifted toward remodeling and cobamide-dependent use rather than increased de novo corrin-ring synthesis. Candidate electron-transfer architectures were also rebalanced: PilA-associated carriers became less prominent, whereas maturation-supported multiheme cytochrome carriers increased from 22.96% to 34.90% of community abundance, although H2/formate-module carriers remained prevalent. Quorum-sensing systems underwent pathway- and carrier-specific redistribution, while all eight curated extracellular-polysaccharide modules showed higher mean gene abundance in the GAC-effluent composite. These findings show that a filter-passing effluent fraction can extend GAC-associated effects beyond direct particle contact and link enhanced methanogenesis to a broader, redistributed network of metabolic, redox, and coordination capacities. This expands the mechanistic framework of conductive-material-assisted anaerobic digestion and provides a basis for harnessing GAC-derived functions throughout the reactor.

Extracellular polymeric substances (EPS)↗

PubMed2026

KLF5-driven G6PD protects lung squamous cell carcinoma from ferroptosis by sustaining mitochondrial homeostasis and SLC7A11-dependent cystine uptake.

AIMS: Lung squamous cell carcinoma (LUSC) is a highly aggressive malignancy with limited therapeutic options. Ferroptosis has emerged as a promising antitumor strategy. However, the metabolic determinants governing ferroptotic vulnerability in LUSC remain incompletely understood. We investigated glucose-6-phosphate dehydrogenase (G6PD) in this context. MATERIALS AND METHODS: In vitro models using small interfering RNA (siRNA)-mediated G6PD depletion, together with pharmacological studies using 6-aminonicotinamide (6-AN) and LUSC xenograft models, were employed to investigate the underlying mechanisms. KEY FINDINGS: G6PD was markedly upregulated in LUSC, and analysis of the Cancer Genome Atlas lung squamous cell carcinoma (TCGA-LUSC) cohort showed that elevated G6PD expression was associated with advanced clinicopathological features and poorer overall survival. While ferroptosis inducers (erastin and RSL3) did not alter G6PD mRNA, they robustly increased G6PD protein during ferroptotic stress. Genetic or pharmacological inhibition of G6PD significantly sensitized LUSC cells to RSL3-induced ferroptosis, evidenced by enhanced lipid peroxidation, glutathione depletion, and ferrostatin-1-reversible cell death. Mechanistically, G6PD inhibition led to mitochondrial ferrous iron accumulation, elevated reactive oxygen species, impaired respiration, and activation of PINK1/Parkin-dependent mitophagy, which further exacerbated ferroptotic injury. In vivo, combined treatment with 6-aminonicotinamide and RSL3 markedly suppressed LUSC xenograft growth and enhanced biochemical markers of ferroptotic stress. Furthermore, G6PD protects cells by positively regulating the cystine/glutamate antiporter SLC7A11 to maintain redox homeostasis. Upstream, the oncogenic factor Krüppel-like factor 5 (KLF5) directly activates G6PD transcription. SIGNIFICANCE: Our findings identify a KLF5-G6PD-SLC7A11 axis as a critical metabolic safeguard against ferroptosis in LUSC. Targeting G6PD disrupts mitochondrial homeostasis, enhances mitophagy-dependent oxidative stress, and sensitizes tumors to ferroptotic therapy, highlighting a promising therapeutic strategy for LUSC.

Ferroptosis↗

PubMed2026

Tryptophan-driven metabolomic shift in Acidobacteriaceae reveals phytohormones and antifungal metabolites.

UNLABELLED: Acidobacteriota is one of the most abundant phyla in soils and has recently attracted attention for its potential role in promoting phytosanitary benefits. The metabolomic capabilities of this phylum remain poorly characterized, with few experimentally confirmed metabolites described. To address these gaps, we combined untargeted metabolomic profiling with comparative genomic analyses to explore the functional potential of newly isolated Acidobacteriaceae strains. Genome mining across the Acidobacteriota phylum revealed the presence and taxon-specific enrichment of genes associated with plant-related traits, including phytohormone biosynthesis. In parallel, metabolomic analyses of OSMAC-derived extracts uncovered pronounced condition-dependent metabolic variation. Tryptophan supplementation was associated with marked metabolomic reprogramming, including changes in indole-derived metabolites, such as indole-3-acetic acid. Subsequent analyses linked these metabolic shifts to the suppression of phytopathogenic fungi and enabled the identification of malassezindoles and pityriacitrins as active compounds, confirmed by structure elucidation using NMR spectroscopy. Overall, these findings shed light on the previously unexplored metabolic potential of the Acidobacteriota phylum, emphasizing its ecological importance for phytosanitary applications. IMPORTANCE: Despite their ubiquity and genomic diversity, the functional metabolism of members of the Acidobacteriota has largely remained uncharacterized. This study links genomic predictions to experimentally verified metabolomic outputs of Acidobacteriaceae, demonstrating tryptophan-responsive metabolic shifts translating to phytohormones and metabolites suppressing fungal growth. Our work underscores the emerging role of Acidobacteriota as important contributors to soil ecosystem functioning and plant-microbe interactions.

Acidobacteriota↗

PubMed2026

Repeated emergence and fitness heterogeneity of KPC-33 in ST11 Klebsiella pneumoniae under ceftazidime-avibactam pressure.

Ceftazidime-avibactam (CZA) is an important therapeutic option for infections caused by Klebsiella pneumoniae carbapenemase (KPC)-producing Klebsiella pneumoniae. However, CZA exposure also selects for emergent KPC variants. Their in vivo evolutionary patterns, fitness consequences, and underlying molecular mechanisms remain unclear. We performed a longitudinal multiomics analysis of 35 clonally related ST11 KPC-producing K. pneumoniae isolates collected from eight hospitalized patients during clinical follow-up, most of whom had received CZA therapy. Whole-genome sequencing, antimicrobial susceptibility testing, in vitro competition assays, enzyme kinetic analysis, and transcriptomic sequencing were used to systematically characterize the within-host evolutionary dynamics of KPC variants and the fitness heterogeneity of KPC-33. Multiple KPC variants were identified during longitudinal follow-up, among which KPC-33 was the most frequently detected. Among the seven patients who received CZA treatment, KPC-33 was detected in longitudinal isolates from four patients. It was also identified in patient P3, who had not received CZA, whereas other variants were only sporadically identified. Biochemical analysis showed that KPC-33 exhibited an altered kinetic profile relative to KPC-2, characterized by reduced catalytic turnover and altered substrate affinity. KPC-33 did not exhibit a uniform and pronounced fitness defect but instead showed marked strain-dependent heterogeneity. Strains with higher competitive fitness generally showed only limited transcriptional changes, whereas those with lower fitness were accompanied by broader transcriptional remodeling. In this longitudinal cohort, KPC-33 was repeatedly detected, predominantly under CZA-associated selective conditions. Its fitness consequences were clearly strain background dependent and may be associated with the extent of transcriptional remodeling. These findings provide new evidence for understanding the in vivo evolution of CZA resistance.

KPC-33↗

PubMed2026

Safety profiles of CAR-T cell therapy in systematic autoimmune diseases: a systematic review and analysis.

BACKGROUND: Chimeric antigen receptors (CARs)-T cell therapy is emerging as a potent approach for autoimmune diseases. However, its application in autoimmune conditions remains limited, and safety outcomes observed in malignancies can't reliably serve as a reference. Therefore, it's necessary to summarize the safety profiles in autoimmune diseases to provide evidence for future expanding trials. METHODS: A systematic review was conducted to analyze the CAR-T therapy safety in rheumatic diseases via database searches up to December 2025. Studies reporting safety data were included, while abstracts, reviews, and cases with malignancies were excluded. Factors associated with cytokine release syndrome (CRS) were analyzed using Firth's penalized logistic regression. RESULTS: This study included 38 studies, involving a total of 115 patients with autoimmune disease. Severe adverse events were rare. CRS and immune effector cell-associated neurotoxicity syndrome (ICANS) occurred in 70.4% and 4.3% of patients, respectively. Most CRS were low-grade. Multivariate analysis identified BCMA-targeted therapy and allogeneic CAR-T products may as independent factors associated with a reduced risk of CRS. Transient hematologic toxicity and hypogammaglobulinemia were frequently reported, with infections occurring in nearly half of the patients. However, prolonged cytopenia and severe infection were infrequent. CONCLUSION: Based on the current available evidence, CAR-T therapy appears to have a generally manageable safety profile in autoimmune diseases, supporting its potential as a promising treatment option for patients with relapsed or refractory autoimmune diseases. However, these findings remain preliminary, and further expanded studies are warranted in the future to provide higher-level evidence.

Humans↗

PubMed2026

Complete genome sequence of multidrug-resistant Salmonella enterica subsp. enterica serovar Enteritidis SD191 isolated from chicken liver, harboring a novel imipenem resistance mechanism.

We present the complete genome sequence of Salmonella enterica subsp. enterica serovar Enteritidis SD191 isolated from Gallus gallus liver in China, harboring plasmid pSE191. The genome reveals multiple antibiotic resistance mechanisms and phenotypic imipenem resistance without canonical genes.

antibiotic resistance↗

PubMed2026

SDC1+ CAFs secreting CTGF drive tumour metastasis via FGFR3 signalling in cancers.

BACKGROUND: Cancer-associated fibroblasts (CAFs) are key stromal components of the tumour microenvironment (TME) that profoundly influence tumour progression. However, CAFs exhibit pronounced phenotypic and functional heterogeneity, and whether conserved CAF subtypes with shared functional hallmarks exist across different cancer types remains unclear. OBJECTIVE: We sought to uncover universal CAF subtypes that transcend tumour origins, defining their core molecular signatures and pro-tumorigenic functions within the TME. DESIGN: We constructed a pan-cancer CAF atlas through single-cell transcriptomic analysis of 554 specimens across 14 cancer types. To validate the findings, we performed further functional analyses, including in vitro migration and invasion assays, in vivo lymphatic metastasis models and mechanistic studies focusing on candidate signalling pathways. RESULTS: We identified a conserved syndecan 1 (SDC1) + CAF subset associated with advanced tumour stage and poor outcomes. These CAFs enhanced tumour cell migration and invasion in vitro and promoted lymphatic metastasis in vivo. This effect is mediated through connective tissue growth factor (CTGF) secretion, which activates fibroblast growth factor receptor 3 (FGFR3) signalling in tumour cells to induce epithelial-mesenchymal transition (EMT). Blocking CTGF or FGFR3 signalling abrogated these effects. We also found that kruppel like factor 6 (KLF6) directly regulates CTGF in SDC1+ CAFs, establishing a complete KLF6-CTGF-FGFR3 metastatic axis. CONCLUSIONS: Our study establishes SDC1+ CAFs as a universal, metastasis-promoting CAF subset across multiple cancer types and uncovers a novel KLF6-CTGF-FGFR3 axis that drives EMT and tumour dissemination. These findings provide mechanistic insight into CAF-tumour cell crosstalk and highlight actionable stromal targets for anti-metastatic therapies across diverse malignancies.

Humans↗

PubMed2026

Diagnostic Performance of Machine Learning for Systemic Lupus Erythematosus: Systematic Review and Meta-Analysis.

BACKGROUND: Early and accurate diagnosis of systemic lupus erythematosus (SLE) and its organ involvement is essential. Previous reviews of machine learning (ML) in SLE combined heterogeneous tasks and validation strategies and may have overinterpreted model performance. OBJECTIVE: This study evaluated the diagnostic performance of ML and deep learning (DL) models for 3 clinically distinct SLE-related tasks: SLE classification or diagnosis, lupus nephritis (LN) diagnosis, and neuropsychiatric systemic lupus erythematosus (NPSLE) discrimination. We also assessed methodological quality and certainty of evidence. METHODS: PubMed, Embase, Cochrane Library, Web of Science, and IEEE Xplore were searched from January 2014 to April 2026. Eligible peer-reviewed diagnostic accuracy studies developed or validated ML or DL models for 1 of the 3 prespecified tasks, used an accepted reference standard, and provided data for a 2×2 contingency table. Bivariate random-effects meta-analyses with the Hartung-Knapp-Sidik-Jonkman adjustment were used to pool sensitivity and specificity. We reported 95% prediction intervals (PIs), assessed risk of bias using the Quality Assessment of Diagnostic Accuracy Studies for Artificial Intelligence tool (QUADAS-AI; Viknesh Sounderajah [Imperial College London]), and evaluated certainty of evidence using the Grading of Recommendations Assessment, Development, and Evaluation framework for diagnostic test accuracy. RESULTS: Twenty-nine studies were included: 17 for SLE classification, 5 for LN diagnosis, and 7 for NPSLE discrimination. In the primary task-stratified analysis, pooled sensitivity was 0.91 (95% CI 0.86-0.94; 95% PI 0.56-0.99), and pooled specificity was 0.94 (95% CI 0.91-0.96; 95% PI 0.69-0.99), with low heterogeneity (I²=23.9% and 22.9%, respectively). DL models showed a sensitivity of 0.93 and specificity of 0.95, compared with 0.88 and 0.94 for traditional ML models. Certainty of evidence was high for most analyses but low for LN diagnosis because of inconsistency and imprecision. All studies were retrospective, and only 9 of 29 (31%) performed independent external validation. Overall risk of bias was high or unclear in 22 of 29 (75.9%) studies. No study reported model calibration, decision-curve analysis, or net clinical benefit. CONCLUSIONS: ML models showed promising diagnostic accuracy across 3 distinct SLE-related tasks, but wide PIs, limited external validation, and pervasive risk of bias restrict conclusions about real-world generalizability. Prospective multicenter studies with standardized tasks and reference standards, independent external validation, and formal assessment of calibration and clinical utility are required before clinical implementation.

Humans↗

PubMed2026

Effects and mechanisms of Stauntonia brachyanthera Hand.-Mazz against Alzheimer's disease through network pharmacology and experimental validation.

Stauntonia brachyanthera Hand.-Mazz. (SB), a traditional medicinal plant of the Dong ethnic group with nutraceutical applications, exhibits broad-spectrum pharmacological activity. However, the therapeutic effects and mechanisms of SB on Alzheimer's disease (AD) remain unclear. This study aims to investigate the neuroprotective potential and underlying mechanisms of SB against AD. We utilized network pharmacology and molecular docking to predict the active components, targets, and pathways of SB associated with AD treatment. Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were further used to identify potential therapeutic targets and underlying mechanisms of SB in relation to AD. Then, the neuroprotective effects, neuronal differentiation-promoting activity and potential mechanism of key active components of SB on the main therapeutic targets were verified by in vitro experiments. The network pharmacological prediction results showed that the treatment of AD with SB was closely related to MAPK and PI3K/Akt pathways. Further experiments showed that the SB active component kaempferol (KMF) alleviated Aβ1-42-induced injury and promoted neuronal differentiation. Additionally, we found that KMF-mediated promotion of neuronal differentiation in N2a cells was dependent on the PI3K/Akt and MAPK pathways. In this study, we employed a combined computational-experimental approach to elucidate the neuroprotective mechanisms of SB against Alzheimer's disease. We further validated KMF as a key active component of SB that alleviates Aβ1-42-induced injury and promotes neuronal differentiation through the PI3K/Akt and MAPK pathways.

Alzheimer's disease↗

PubMed2026

An IRAK1-snRNA axis activates ATM to promote accurate repair within transcriptionally active chromatin.

Genomic integrity in transcriptionally active regions is pivotal for suppressing oncogenic mutations, yet the mechanisms that govern precise homologous recombination (HR) repair within these regions remain elusive. Here, we report that the IRAK1-spliceosome axis operates with small nuclear RNA (snRNA) as a central hub, potently promoting accurate repair at DNA double-strand break (DSB) sites within active chromatin in human cancer cells. Mechanistically, IRAK1 phosphorylates spliceosomal serine/arginine (SR)-rich proteins to recruit snRNA to DSBs, inducing robust condensation of the MRE11-RAD50-NBS1 (MRN) complex near transcriptionally active regions to create an ATM activation platform. Collectively, our findings define a prevalent mechanism governing region-specific precise repair in transcriptionally active domains, where snRNA acts as a "transcription repair bridge" to link transcriptional processes to HR repair and ultimately preserves genomic stability. Inhibiting IRAK1 axis impairs HR repair in transcriptionally active regions, causing a marked increase in mutation rates specific to these regions and cancer-cell chemosensitivity.

Humans↗

PubMed2026

Discovery of novel quinazoline-containing ATR inhibitor for treatment of acute myeloid leukemia.

ATR is a core kinase in the DNA damage response pathway, primarily sensing replication pressure and double strand breaks, initiating cell cycle arrest, DNA repair, and apoptosis programs, and maintaining genomic stability. In this work, we validated that intervention in ATR function might regulate the progression of AML through bioinformatics analysis. And a series of novel ATR inhibitors based on quinazoline moiety were obtained. The promising compound C7 achieved effective enzyme level and cellular level inhibitory activities, and exhibited acceptable liver S9 stability and oral bioavailability, with no high risk of drug-drug interactions. Research on the underlying mechanism indicated that compound C7 could inhibit the development of MOLM-13 through a dual mechanism of rapidly inducing cell apoptosis and exacerbating DNA damage levels. In brief, compound C7 might be a promising candidate or lead compound for the discovery of novel ATR inhibitors and the treatment of AML.

Quinazolines↗

PubMed2026

Lipid Metabolism-related lncRNA Model Identifies AC026412.3 as a Driver of Fatty Acid β-oxidation in Hepatocellular Carcinoma.

BACKGROUND AND AIMS: Dysregulated lipid metabolism contributes to hepatocellular carcinoma (HCC) progression, but the prognostic value and mechanistic roles of lipid metabolism-related long noncoding RNAs (LRLs) remain insufficiently characterized. This study aimed to construct and validate an LRL-based prognostic model and to investigate the biological function and metabolic mechanism of AC026412.3 in HCC. METHODS: Transcriptomic and clinical data from the The Cancer Genome Atlas Liver Hepatocellular Carcinoma cohort were analyzed to identify LRLs based on their correlation with curated lipid metabolism genes. Differential expression, univariate Cox, least absolute shrinkage and selection operator (LASSO), and multivariate Cox analyses were performed to construct a prognostic signature, which was evaluated using Kaplan-Meier survival and time-dependent receiver operating characteristic (ROC) analyses. Functional enrichment analyses Gene Ontology [GO], Kyoto Encyclopedia of Genes and Genomes [KEGG] and gene set enrichment analysis [GSEA], mutation profiling, tumor mutational burden, immune infiltration estimation, and consensus clustering were applied to characterize associated features. A key LRL was identified through integrated bioinformatic screening and prioritization. Its biological role was assessed by quantitative reverse transcription polymerase chain reactionq (RT-PCR), western blotting, BODIPY staining, colony formation, Transwell assays, and xenograft models. RNA sequencing followed by pathway enrichment analysis was conducted to explore underlying mechanisms. RESULTS: A three-LRL signature (AL031985.3, NRAV, and AC026412.3) stratified HCC patients into distinct risk groups with significantly different survival outcomes and demonstrated independent prognostic value. AC026412.3 was markedly upregulated in HCC and associated with poor prognosis. Functional assays demonstrated that AC026412.3 promoted proliferation, invasion, and tumor growth while reducing lipid accumulation. Mechanistically, AC026412.3 upregulated solute carrier family 22 member 5 (SLC22A5), enhanced fatty acid β-oxidation, and increased adenosine triphosphate (ATP) production, thereby driving metabolic reprogramming. CONCLUSIONS: This study establishes a robust LRL-based prognostic model and identifies AC026412.3 as a key regulator of lipid metabolic reprogramming via the SLC22A5-fatty acid β-oxidation axis, highlighting its potential as a biomarker and therapeutic target in HCC.

HCC↗

PubMed2026

Bergamottin, a bioactive component of bergamot: dual inhibition of Japanese encephalitis virus internalization and genome replication.

Japanese encephalitis virus (JEV) is associated with high mortality and severe neurological sequelae, and existing prevention and control strategies remain insufficient. Therefore, the development of novel antiviral agents is of critical public health importance. This study systematically evaluated the antiviral activity and underlying mechanism of bergamottin, a natural product. Bergamottin exhibited significant dose-dependent inhibitory effects against JEV in multiple cell lines, including BHK-21, HuH-7, and Vero cells, demonstrating potent antiviral efficacy. Mechanistic investigations revealed that bergamottin primarily targeted the internalization and replication stages of the JEV life cycle, thereby effectively suppressing viral proliferation. Additionally, adaptive mutation screening indicated that the D389G mutation in envelope protein E confers drug resistance by potentially changing E protein conformation or reducing endocytic efficiency. In vivo experiment, bergamottin significantly reduced viral loads in mouse brain tissue and effectively improved the survival rate of infected mice. Our findings indicated that bergamottin exerted antiviral activity by dual targeting of key steps in the viral life cycle, making it a highly promising candidate for anti-JEV therapy. Further exploration of the antiviral properties of bergamottin is expected to facilitate its clinical development as a treatment for JEV infection.

Animals↗

PubMed2026

Predictive evolutionary genomics: principles, validation, and practice.

Climate change and habitat loss are driving rapid evolutionary responses in populations world-wide, which creates an urgent need for evolutionary forecasting in conservation and agriculture. Such forecasting can be categorized into three time scales: trait-based models that use multivariate quantitative genetic equations to project correlated phenotypic responses up to c. 20 generations, allele-based analyses that model allele frequency dynamics up to 100 generations, and composite adaptation scores that aggregate many small effects to yield predictions across longer horizons. However, these approaches have remained largely disconnected. Here, we present a Bayesian framework that integrates these three complementary approaches for evolutionary prediction. Our framework combines genomic, phenotypic, and environmental data to yield probabilistic predictions with explicit uncertainty. We show how predictive evolutionary forecasts can be validated with experimental evolution, field experimentation, historical specimens, and reciprocal transplants. These validated forecasts can help advance conservation and agricultural programmes by helping predict which populations are at risk of future extinction, optimizing breeding programmes for future climates, and planning ecosystem management under environmental change. By supporting a shift towards more predictive approaches in evolutionary biology, this framework may help improve our ability to manage biodiversity and food security in a changing world.

Genomics↗

PubMed2026

Outcomes of Suture Tape-Augmented ACL Reconstruction in Patients With High Internal Rotational Tibial Subluxation: A Minimum 3-Year Cohort Study.

BACKGROUND: Anterior cruciate ligament reconstruction (ACLR) using hamstring tendon (HT) autografts faces persistent challenges of graft failure, especially in patients with high internal rotational tibial subluxation (IRTS). HYPOTHESIS: Patients with high IRTS who undergo HT autograft ACLR with suture tape augmentation (STA) will have lower graft failure rates and superior clinical outcomes as compared with those without STA. STUDY DESIGN: Cohort study; Level of evidence, 3. METHODS: This retrospective cohort study included patients with high IRTS-defined as lateral minus medial anterior tibial subluxation >5.8 mm based on prior studies-who underwent primary ACLR using HT autografts with STA and had a minimum follow-up of 3 years. Propensity score matching (1:1) was performed to identify a control group of patients with similarly high IRTS who underwent HT ACLR without STA. Postoperative outcomes were assessed by the International Knee Documentation Committee score, Lysholm score, and Tegner activity scale, as well as by return-to-sport status and graft failure. Clinically meaningful improvements were evaluated by the minimal clinically important difference, Patient Acceptable Symptom State, and substantial clinical benefit. RESULTS: This study included 62 patients with high IRTS: 31 with STA and 31 matched controls. The mean IRTS was 6.6 mm (range, 5.9-8.9) in the STA group and 6.8 mm (range, 5.8-8.7) in the control group. The mean patient age was 32.9 years (range, 20-50), and the mean follow-up was 3.8 years (range, 3.1-5.0). At final follow-up, the STA group showed significantly higher proportions of patients achieving the minimal clinically important difference (93.5% vs 74.2%; P = .038), Patient Acceptable Symptom State (96.8% vs 74.2%; P = .012), and substantial clinical benefit (54.8% vs 25.8%; P = .020). The return-to-sport rate was also higher in the STA group (74.2% vs 48.4%; P = .037). Additionally, the STA group demonstrated a lower graft failure rate (0% vs 12.9%; P = .039). CONCLUSION: For patients with high IRTS, STA in ACLR with HT autografts is associated with improved clinical outcomes, a higher return-to-sport rate, and a lower risk of graft failure at midterm follow-up.

Humans↗

PubMed2026

Pan-cancer multi-omics machine learning defines a lactylation-associated immune-excluded tumor state with proteomic and experimental corroboration.

BACKGROUND: Histone lactylation links lactate metabolism to chromatin regulation, but whether lactylation-program-associated transcriptional patterns delineate recurrent pan-cancer tumor states remains unclear. METHODS: We integrated mRNA, lncRNA, and miRNA profiles from 9712 TCGA tumors across 33 cancer types with GTEx references, six GEO cohorts, IMvigor210, and an institutional clear-cell renal cell carcinoma (ccRCC) cohort used for exploratory DIA-NN proteomic corroboration. Random-effects co-expression meta-analysis, multi-omics consensus clustering, regulon inference, immune deconvolution, TIDE, oncoPredict, and SHAP-based machine learning were applied. hsa-miR-431-5p was functionally evaluated as a proof-of-concept CS2-associated miRNA in bladder cancer models. RESULTS: LacCoEx-Atlas comprised 398,491 lactylation-related co-expression pairs across 24,667 RNA features under a random-effects framework (median I² = 88.6%). Consensus clustering identified two subtypes: CS2 showed glycolytic-mesenchymal-immune-excluded features, M2 macrophage enrichment, CD8⁺ T-cell depletion, elevated HDAC4/NSD3/KDM6B activity, and worse survival, whereas CS1 showed oxidative, sirtuin-active programs. CS2 had fewer predicted ICI responders (18.3% vs. 52.0%) and a lower observed ORR in IMvigor210 (15.3% vs. 24.0%). oncoPredict identified NU7441 as a hypothesis-generating CS2-associated sensitivity signal (Hedges' g = 1.17). DIA-NN proteomics in 50 ccRCC specimens provided exploratory support for CS2-associated hypoxia, ECM degradation, and metastasis programs. The 10-feature mRNA LARItools model achieved an apparent AUC of 0.9413, while a separate multi-omics model achieved 0.971; neither was independently validated. LARItools reproduced prognostic separation across six GEO cohorts. miR-431-5p promoted malignant phenotypes and EMT in bladder cancer cells, with concordant CMU4h expression findings. CONCLUSIONS: Lactylation-program-associated transcriptional patterns delineate a recurrent immune-excluded pan-cancer tumor state associated with adverse prognosis, reduced predicted immunotherapy responsiveness, exploratory single-cancer protein-level support, and testable DNA damage response-targeting hypotheses. LacCoEx-Atlas and LARItools provide open resources for lactylation-program-associated tumor-state stratification and future translational research.

Humans↗

PubMed2026

Sex Hormone Receptors, HBV Integrations and Their Prognostic Predictive Value Among Hepatocellular Carcinoma Patients.

Hepatocellular carcinoma (HCC) related to hepatitis B virus (HBV) infection predominantly affects males, yet few studies have investigated the association between sex hormones and HBV integrations, and their involvement in HCC prognosis. We assessed estrogen receptor alpha (ERα) and androgen receptor (AR) expression via immunohistochemistry on tissue microarrays constructed from 426 HBV-related HCC samples. HBV integration features were determined using HBV-captured sequencing data. Logistic regression models were utilized to evaluate the association between sex hormone receptor expression level and HBV integration features. Cox regression models, combined with machine learning (ML) methods, were implemented to investigate the prognostic value of sex hormone receptors and HBV integrations concerning overall survival. We found high AR expression level was significantly associated with higher HBV integration levels (adjusted odds ratio [aOR] = 1.84, 95% confidence interval [CI]: 1.09-3.11, P for trend = 0.012), TERT integration (aOR = 2.34, 95% CI: 1.16-4.74, P for trend = 0.047), intergenic integration (aOR = 2.25, 95% CI: 1.20-4.24, P for trend = 0.021), and promoter integration (aOR = 1.81, 95% CI: 1.00-3.31, P for trend = 0.034). The inclusion of sex hormone receptors and HBV integrations in the predictive models led to improvements across all performance metrics in the Cox regression analyses (AUC improvement: 0.014 [Training], 0.026 [Validation]) and the ML (AUC improvement: 0.022 [Training]), although a slight deterioration in performance was noted in the ML validation set. The results suggested a relationship between AR expression level and HBV integration events, as well as the potential utility of HBV integration biomarkers and sex hormone receptor profiles in assessing post-surgical prognosis among HCC patients.

Humans↗

PubMed2026

Acupuncture improves depressive symptoms and prefrontal cortical function in mild to moderate depressive disorder: A randomized sham-controlled trial and fNIRS study.

BACKGROUND: Depressive disorder is a common mental illness associated with substantial functional impairment. Although pharmacotherapy is widely used, its effectiveness is often limited by adverse effects and poor adherence. Acupuncture has been increasingly applied as a complementary treatment for depression, and its neurobiological characteristics remain unclear. OBJECTIVE: This randomized, sham-controlled trial aimed to evaluate the clinical efficacy of acupuncture for mild to moderate depressive disorder and to investigate its effects on prefrontal cortical function using functional near-infrared spectroscopy (fNIRS). METHODS: Patients with mild to moderate depressive disorder were randomly assigned to a real acupuncture (RA) group or a sham acupuncture (SA) group and received standardized treatment for 8 weeks. Clinical outcomes were assessed using the Self-Rating Depression Scale (SDS), Self-Rating Anxiety Scale (SAS), Short Form-36 Health Survey (SF-36), and a traditional Chinese medicine syndrome score. A subset of participants underwent fNIRS assessment during resting-state and task-based conditions to evaluate prefrontal cortical activation and functional connectivity. RESULTS: Compared with baseline, the RA group showed significant reductions in SDS and SAS scores and significant improvements in SF-36 emotional domains, with effects emerging at Week 4 and persisting up to 12 weeks after treatment. Improvements were greater and more stable in the RA group than in the SA group. fNIRS analyses revealed enhanced activation in dorsolateral and medial prefrontal regions and strengthened prefrontal functional connectivity following acupuncture, whereas neural changes in the SA group were limited. CONCLUSION: Acupuncture is effective for improving depressive and anxiety symptoms and quality of life in patients with mild to moderate depressive disorder. Modulation of prefrontal cortical activation and connectivity may underlie its antidepressant effects.

Humans↗