Acute liver failure (ALF) is a severe hepatic injury associated with high short-term mortality. Our previous study found that 1,5-anhydroglucitol (1,5AG) levels correlate with clinical outcomes in patients with liver failure. This study aimed to explore the potential effects and mechanisms of 1,5AG in ALF.

An experimental model of ALF was established using LPS and D-GalN. 1,5AG was administered to mice by gavage before modeling. Empagliflozin was then administered to reduce 1,5AG levels in mice. Peroxisome proliferator-activated receptor alpha (PPARα) agonists were also used to explore the role of 1,5AG in mice with liver failure.

1,5AG pretreatment significantly increased ALT and AST levels, aggravated histological damage and hepatocyte apoptosis, and increased mortality in ALF mice. Transcriptomic analysis and western blot validation revealed that 1,5AG significantly inhibited the PPARα signaling pathway and its downstream target, fibroblast growth factor 21. Empagliflozin treatment reduced 1,5AG levels, alleviated liver injury and hepatocyte apoptosis, and promoted the PPARα signaling pathway in ALF. PPARα agonists effectively reversed the effects of 1,5AG on ALF, thereby alleviating liver damage, pathological injury, and hepatocyte apoptosis.

1,5AG exacerbated liver injury in ALF mice by inhibiting the hepatic PPARα pathway, thereby promoting hepatocyte apoptosis.

Liver transplant rejection significantly affects patient prognosis. Myeloid-derived suppressor cells (MDSCs), known for their potent immunoregulatory functions, represent a promising target for managing liver transplant rejection. This study aimed to systematically characterize the diversity of MDSC subsets and their context-dependent functions, particularly within the context of transplant tolerance.

We analyzed clinical and murine liver transplants using single-cell RNA sequencing, bulk RNA sequencing, flow cytometry, multiplex immunohistochemistry, and co-culture assays to phenotype MDSC subsets.

Single-cell RNA sequencing analysis of human and murine samples revealed MDSC involvement in transplant rejection. In mice, MDSC scores followed a normal distribution during the first week post-transplant and correlated with clinical flow cytometry data at one month. A distinct LDLR+ monocytic MDSC (M-MDSC) subset was identified and confirmed through spatial mapping by multiplex immunohistochemistry. Flow cytometry demonstrated dynamic changes in LDLR+ M-MDSCs across tissues (liver, spleen, peripheral blood, bone marrow, and lymph nodes), with a peak during acute rejection. Co-culture experiments showed that LDLR−/− M-MDSCs exhibited reduced Arg-1/iNOS expression and an impaired capacity to induce inhibitory receptors (TIGIT, PD1, CTLA-4) or suppress effector molecules (GZMB, IFN-γ, IL-2) in CD8+ T cells.

These findings highlight the critical role of MDSCs in liver transplant rejection. LDLR+ M-MDSCs exhibited enhanced immunosuppressive properties, underscoring their potential clinical relevance in mitigating rejection and promoting immune tolerance.

Predicting the malignant transformation of rectal precancerous lesions remains challenging because conventional Whole Slide Images (WSIs) capture morphological information but lack molecular insight. Multiomics data provide complementary biological signals that often precede visible morphological changes. This study aimed to develop an artificial intelligence (AI)-based multimodal framework integrating WSI and multiomics data for accurate early prediction of malignant transformation.

WSI patches (512×512 px at 20× magnification) and matched multiomics profiles were used for 450 rectal tissue samples from the publicly available The Cancer Genome Atlas dataset. A multimodal architecture was designed, employing a Vision Transformer (ViT-B/16) for WSI feature extraction and a Variational Autoencoder for multiomics representation learning. Features were fused via a cross-attention mechanism to capture inter-modality dependencies. Baseline models, including a convolutional neural network-only image model and an omics-only multilayer perceptron, were trained for comparison. Five-fold cross-validation was applied, with binary cross-entropy loss, the AdamW optimizer, early stopping, and hyperparameter tuning to ensure reproducibility.

The multimodal Vision Transformer–Variational Autoencoder fusion model outperformed unimodal baselines, achieving an accuracy of 0.892 ± 0.012 and an area under the receiver operating characteristic curve of 0.927 ± 0.009, corresponding to a 7–10% improvement over WSI-only and omics-only models. Cross-attention–based fusion improved prediction stability and classification performance, while interpretability analyses (Grad-CAM and SHAP) highlighted biologically meaningful histopathological regions and molecular feature contributions.

This study presents a robust and scalable AI-based framework for integrating WSI and multiomics data in rectal precancerous lesions. The model improves predictive precision compared with unimodal baselines and offers preliminary interpretability insights through attention mechanisms. These findings support the potential of multimodal AI for early cancer risk assessment and precision pathology.

Metabolic dysfunction-associated steatotic liver disease (MASLD) and chronic kidney disease (CKD) have shown a significant increase in comorbidity on a global scale due to the prevalence of metabolic syndrome. In 2023, a number of academic societies formally proposed the concept of MASLD, superseding the previous terminology of “non-alcoholic fatty liver disease” and “metabolic dysfunction-associated fatty liver disease”. The diagnostic criteria have been revised to place greater emphasis on the association between hepatic steatosis and cardiometabolic risk factors. MASLD constitutes an independent risk factor for CKD, with this risk potentially increasing in line with the severity of fatty degeneration and the progression of hepatic fibrosis. CKD may represent a potential risk factor for the progression of fibrosis in patients with MASLD. The interaction between the two conditions may accelerate the occurrence of cardiovascular events and increase the risk of all-cause mortality. MASLD and CKD may share core pathophysiological mechanisms, including genetic variants, insulin resistance, lipid metabolism disorders, chronic inflammation, oxidative stress, and gut microbiota dysbiosis. However, the bidirectional causal relationship between the two conditions and the molecular dialogue between organs remains unclear. Furthermore, there are significant gaps in clinical prediction tools and targeted treatment strategies for comorbidities. This paper reviews common pathophysiological mechanisms in MASLD and CKD, the epidemiological and clinical evidence linking MASLD to the risk of CKD, biomarkers and clinical prediction models for coexisting conditions, and potential therapeutic strategies. Our aim is to provide a theoretical basis for early identification, mechanism exploration, and clinical treatment of comorbidities.

The long-term clinical outcomes of patients with hepatitis B virus (HBV)-related cirrhosis receiving nucleos(t)ide analog (NA) therapy according to virological response patterns remain inadequately defined. This study aimed to investigate the association between virological response patterns and clinical outcomes in a large, long-term, real-world cohort.

This retrospective–prospective cohort study enrolled patients with HBV-related cirrhosis receiving NA therapy from 2009 to 2019. According to the serum HBV DNA levels during the initial two years of antiviral treatment, patients were categorized as having a complete (CVR) or partial virological response (PVR). Patients with CVR were further stratified according to their dynamic HBV DNA changes during follow-up into maintained virological response (MVR) or virological breakthrough (VBT) patterns. The primary clinical outcomes included hepatocellular carcinoma (HCC), acute-on-chronic liver failure, and liver-related death. Secondary endpoints included recompensation and progression to decompensation. Cox proportional hazards regression was used to assess the association between virological response patterns and clinical endpoints.

In total, 1,869 patients were enrolled. During a median follow-up of seven years, the MVR, VBT, and PVR rates were 65.4%, 26.5%, and 8.1%, respectively. The cumulative serum hepatitis B surface antigen (HBsAg) clearance rate was 9.8%. Moreover, 34.9% of patients with HBsAg < 100 IU/mL at baseline experienced HBsAg clearance. Compared with patients with VBT and PVR, those with MVR had a lower five- and ten-year cumulative incidence of HCC in both the compensated (five-year: 10.1% vs. 17.0%; ten-year: 14.2% vs. 33.6%; P < 0.001) and decompensated cirrhosis subgroups (five-year: 19.5% vs. 36.7%; ten-year: 25.7% vs. 49.7%; P < 0.001). Similarly, patients with MVR also had a lower cumulative incidence of liver-related death. Additionally, a higher hepatic recompensation rate was observed in patients with MVR than in those with VBT (34.1% vs. 22.5%, P < 0.001). Importantly, patients achieving HBsAg clearance and undetectable serum HBV DNA levels (“functional cure” during ongoing NA therapy) had the lowest five- and ten-year cumulative incidence of HCC (3.9% and 8.7%, respectively).

Patients with long-term MVR exhibited a lower incidence of HCC and liver-related death in both compensated and decompensated HBV-related cirrhosis subgroups, especially those achieving “functional cure.” However, more than 30% of patients experienced PVR or VBT during long-term NA antiviral therapy. These findings highlight the importance of long-term, rigorous monitoring after initial CVR to optimize outcomes and support clinical decision-making.

The incidence and mortality of stroke are gradually increasing. In this context, post-stroke neuronal loss and the related long-term complications, along with costly treatment strategies, are significant concerns for healthcare professionals, and effective, convenient, and inexpensive therapeutic modalities are required. Natural and easily accessible herbal remedies may be the optimal option in post-stroke recovery. This narrative review aims to summarize the neuroprotective properties of Withania somnifera (Ashwagandha) and its therapeutic efficacy in neuronal plasticity and recovery after stroke. Original research articles, reviews, and case studies were sourced from databases such as PubMed, Web of Science, Scopus, Google Scholar, Medline, and Embase. Only full articles published in English up to July 2025 were considered. Keywords including W. somnifera, Ashwagandha, stroke, cerebral ischemia, neurodegeneration, neuronal loss, and post-stroke recovery were utilized for the literature search. It has been found that various plant parts of W. somnifera are abundant in bioactive compounds. The neuroprotective effects of W. somnifera are documented in numerous diseases. Nevertheless, W. somnifera is reported to be involved in modulating various biological pathways to mitigate neuroinflammation, apoptosis, and oxidative stress in stroke. W. somnifera promotes cell proliferation and enhances neurogenesis. Preclinical experiments on murine models show the effectiveness of W. somnifera in post-stroke recovery by enhancing neural plasticity and reducing neuronal loss in the infarct area. Furthermore, W. somnifera boosts neurotransmitter levels, improves motor functions, and enhances memory. It also decreases neutrophil infiltration in the infarct region and lessens neuronal loss. Therefore, the application of W. somnifera may prove advantageous in facilitating post-stroke recovery by enhancing neural function. However, well-designed clinical trials are needed to confirm the efficacy of W. somnifera in post-stroke recovery in humans.

End-stage liver disease (ESLD) is characterized by a dramatic deterioration of liver function, frequently accompanied by systemic inflammatory storms and multiple organ failures. Central to the onset and progression of ESLD, systemic inflammation arises from complex interactions among various inflammatory signaling molecules and immune cells within and beyond the liver. As key inflammatory modulatory molecules, bioactive oxylipins have been increasingly recognized for their complex molecular mechanisms implicated in various diseases. This review aims to summarize recent findings regarding the molecular and immunological mechanisms through which oxylipins contribute to the development of liver injury and failure, with emphasis on both substantial intrahepatic and extrahepatic immune and inflammatory dysregulation associated with ESLD. Furthermore, this review discusses the translational potential of targeting oxylipins for clinical diagnosis, prognosis, and therapeutic intervention in ESLD.

Identifying patients at high risk for poor bowel preparation preceding a colonoscopy is critical to successful colorectal cancer screening. High-risk patients, such as those who are obese, diabetic, opioid users, or former smokers, often have comorbidity, medication, and sociodemographic factors that lead to suboptimal bowel preparation even when following protocol. Suboptimal preparation results in missed lesions, longer procedure times, and increased healthcare costs. Optimal visualization of the colon mucosa is achieved through effective bowel preparation. Polyethylene glycol (PEG) solutions are preferred for their safety, especially in patients with kidney or cardiac disease. Split-dose PEG regimens with a low-residue diet are recommended by the American Gastroenterological Association to promote cleansing and patient tolerance. Tailored regimens can be employed in high-risk patients, including those with chronic constipation, opioid dependence, or diabetes. Educational interventions, such as written and verbal instructions, patient navigators, and mobile device reminders, improve compliance. Medical strategies include split-dose PEG-electrolyte lavage solution with bisacodyl, additional purgatives for select patients, and avoidance of sodium phosphate in elderly or renally impaired individuals. Open-access colonoscopy services have expanded following the COVID-19 pandemic to manage backlogs and improve access. Improving education, simplifying regimens, and targeting interventions can reduce repeat procedures and enhance colorectal cancer detection. This narrative review summarizes patient-, medication-, and system-level risk factors for inadequate bowel preparation in high-risk populations and synthesizes practical, evidence-based strategies to optimize colonoscopy quality, including in open-access settings.

This Consensus aims to establish a physician–pharmacist co-management model to standardize the rational clinical application of anti-immunoglobulin E monoclonal antibodies in the treatment of allergic asthma. Focusing on the critical components of physician–pharmacist co-management, key issues related to anti-immunoglobulin E monoclonal antibody therapy were identified through a systematic literature review and clinical practice experience. Evidence quality was evaluated using an evidence grading system, and the Delphi method was applied to reach expert consensus. Centered on omalizumab, the Consensus presents 12 recommendations covering the work model of physician–pharmacist co-management, clinical management pathways, hierarchical diagnosis and treatment systems, as well as training and competency assessment. The Delphi process achieved a high degree of consensus (agreement >80%) on 12 key recommendations, emphasizing a 60-min observation period post-injection and quarterly follow-up evaluations. It establishes a standardized framework for the co-management of omalizumab therapy in allergic asthma. Results highlighted that co-management effectively monitors omalizumab dosage (75–600 mg) and maintains a consensus threshold of >80% for patient safety protocols. The Consensus provides a standardized framework for physician–pharmacist co-management, which is expected to facilitate rational drug use and improve patient care pathways in omalizumab therapy.