Bacterial infections (BIs) are common and severe complications in patients with liver cirrhosis, but global data are limited. Here, we aimed to evaluate the global prevalence, temporal changes, and associated mortality risk of BIs in liver cirrhosis.

We systematically searched PubMed, Embase, Web of Science, and the Cochrane Library for eligible studies published without language restrictions until 11 August 2025. A random-effects model was used for meta-analyses, meta-regression by study year, and pooling adjusted hazard ratios.

Fifty-nine studies, including 1,191,421 patients with cirrhosis, were analyzed. The pooled prevalence of BIs (33 studies) was 35.1% (95% confidence interval (CI): 29.2–41.4). The prevalence of Escherichia coli and Streptococcus spp. was 3.8% (95% CI: 2.5–5.2) and 1.5% (95% CI: 0.8–2.6), respectively. The pooled prevalence of multidrug-resistant bacteria was 6.8% (95% CI: 4.0–11.3). The most common BI sites were the gastrointestinal tract, ascites fluid, and urinary tract. The highest prevalence of BIs was reported in Europe (38.2%; 95% CI: 24.8–53.6), followed by South America (37.5%; 95% CI: 29.7–46.1) and Asia (22.8%; 95% CI: 16.3–30.9). Patients with acute-on-chronic liver failure showed the highest prevalence of BIs (44.2%; 95% CI: 29.7–59.8). A modest increasing trend in BIs prevalence was observed over time. BIs were associated with an increased risk of mortality in patients with cirrhosis (adjusted hazard ratios 2.22, 95% CI 1.33–3.71).

BIs are prevalent in cirrhosis, especially in acute-on-chronic liver failure, with a modest upward trend and increased mortality risk.

Metabolic dysfunction-associated steatotic liver disease (MASLD) and sarcopenia frequently coexist, yet their causal relationship and underlying mechanisms remain poorly defined. This study aimed to investigate whether a bidirectional causal link exists between MASLD and sarcopenia and to identify the molecular mediators involved in liver-muscle crosstalk.

We applied Mendelian randomization to test the causal effect of sarcopenia-related traits on MASLD risk. To capture distinct clinical features, we established complementary mouse models, including diet-induced and genetic (ob/ob) MASLD models, a stelic animal model, and a drug-induced muscle atrophy model. Multi-tissue transcriptomic profiling was performed on liver and muscle to uncover altered pathways.

Complementing prior genetic evidence establishing MASLD as a causal factor for sarcopenia, our Mendelian randomization analysis revealed that diminished muscle mass and muscle function contribute to an elevated risk of MASLD. In mice with MASLD, we observed loss of muscle mass, reduced strength, and ectopic lipid deposition in skeletal muscle. Conversely, muscle atrophy exacerbated hepatic steatosis, inflammation, and fibrosis in MASLD mice. Transcriptional profiling revealed that sarcopenia impairs hepatic metabolic homeostasis by enhancing fatty acid uptake and impairing oxidative phosphorylation, while MASLD, in turn, promotes muscle dysfunction by exacerbating inflammatory responses and metabolic dysfunction. We further identified C-C motif chemokine ligand 2 as a key myokine that drives MASLD, and adrenomedullin as a key hepatokine that triggers sarcopenia.

Our findings suggest a potential bidirectional causal relationship between MASLD and sarcopenia, which may be partially mediated by C-C motif chemokine ligand 2 and adrenomedullin.

A long-term high-fat diet (HFD) exerts lipotoxic effects on multiple organs, particularly the liver, leading to metabolic diseases. This study aimed to delineate the dynamic effects of HFD on lipid metabolism, elucidate the mechanisms underlying hepatic lipotoxicity, and investigate the protective effects of Ganoderma lucidum against lipotoxicity both in vitro and in vivo.

C57BL/6 mice were fed either a 45% or 60% HFD, followed by measurements of body composition, serum lipid profile, and liver pathology at four, eight, twelve, and sixteen weeks. Inflammatory responses, the unfolded protein response (UPR), and endoplasmic reticulum (ER)-phagy were examined in the livers of mice at 16 weeks. Male C57BL/6 mice were randomly assigned to four groups (n = 12 per group): normal diet, 45% HFD, and two HFD + Ganoderma lucidum water extract (GLE) groups (1 g/kg/d and 2 g/kg/d of crude drug, orally administered by gavage for eight weeks following a four-week HFD induction).

Body weight, body fat, serum lipids, and hepatic steatosis increased progressively, accompanied by impaired glucose tolerance and liver injury, as indicated by elevated serum alanine aminotransferase (ALT) and aspartate aminotransferase (AST) levels. HFD also induced activation of the STING and NF-κB signaling pathways, as well as the PERK and IRE1 branches of the UPR. Similarly, ER-phagy selective receptors, particularly FAM134B, which is primarily expressed in hepatocytes as shown by single-cell sequencing, were upregulated after 16 weeks of HFD feeding. Furthermore, GLE mitigated palmitic acid-induced lipotoxicity in primary hepatocytes, as evidenced by improved cell viability, reduced ALT, AST, and lactate dehydrogenase levels in the culture supernatant, and decreased transferase dUTP nick-end labeling-positive cell counts. In 45% HFD-fed mice, GLE reduced serum total cholesterol, low-density lipoprotein, and hepatic triglyceride levels.

HFD-induced lipotoxicity causes hepatic tissue injury and inflammatory responses, which may be alleviated by coordinated regulation of compensatory UPR and ER-phagy. Ganoderma lucidum shows promise as a dietary supplement for managing metabolic disorders.

This review aims to advocate for a paradigm shift in herbal safety by proposing a cohesive molecular framework that integrates advanced “omics” technologies with artificial intelligence (AI) to address the clinical challenges of herb-induced liver injury (HILI). Traditional herbal medicine constitutes a substantial, yet often unregulated, component of global healthcare, driving high patient exposure alongside a significant and escalating clinical burden of HILI. Current pharmacovigilance systems are critically undermined by fundamental deficits, including severe underreporting, unknown population denominators, and pervasive product quality failures. Furthermore, the complexity of multi-ingredient formulations and the frequency of herb-drug interactions complicate causality assessment, particularly for high-risk drugs. To bridge the gap between empirical practice and contemporary safety standards, this integrated “omics”-AI paradigm transforms herbal safety from a reactive, population-level assessment into an evidence-based, personalized system. By enabling precise risk mitigation, this approach establishes a scientifically rigorous foundation for the future of integrative liver health. In conclusion, the synergy of molecular profiling and computational intelligence provides the necessary tools to modernize herbal pharmacovigilance, ensuring that traditional wisdom is effectively harmonized with modern technological standards for enhanced patient safety.

Perioperative anaphylaxis is a rare, life-threatening, iatrogenic condition that predominantly arises following anesthesia. The unique context of this condition, characterized by the concurrent administration of multiple drugs, patient draping, and altered physiological states, presents significant diagnostic and therapeutic challenges, contributing to a higher mortality rate compared to anaphylaxis in other settings. This narrative review synthesizes the evidence to delineate the evolving etiology, pathophysiology, atypical clinical presentation, evidence-based immediate management, and strategic prevention of perioperative anaphylactic reactions. The primary causative agents include neuromuscular blocking agents, antibiotics, and latex, with emerging culprits such as chlorhexidine, dyes, and novel agents like remimazolam. Diagnosis is complicated by the paucity of cutaneous signs; thus, cardiovascular collapse combined with a low end-tidal carbon dioxide level has emerged as a useful supportive diagnostic indicator that requires integration with the clinical context. Immediate management prioritizes the prompt administration of epinephrine and aggressive fluid resuscitation. Subsequent allergological investigations, primarily via skin testing and serum tryptase/histamine measurement, are paramount for identifying the causative agent and preventing its recurrence. Prevention strategies emphasize meticulous history-taking, risk stratification, and the creation of latex-free environments. Future directions must focus on establishing global surveillance networks, exploring novel biomarkers and risk factors such as the circulating microbiome—a preliminary but promising area of research—and enhancing team preparedness through simulation training to improve patient safety outcomes.

Circular RNAs (circRNAs) are non-coding RNAs characterized by a strictly closed-loop covalent structure. They are abundantly detected in various cells due to their conserved nature. Studies have reported their potential association with chronic liver disease (CLD), including hepatitis, cirrhosis, and hepatocellular carcinoma (HCC), with possible roles as diagnostic and prognostic markers. This study aimed to analyze the potential use of serum-derived hsa_circ_101555 as a diagnostic tool for CLD without HCC, and to compare it with other known non-invasive parameters for liver disease severity and inflammation. Additionally, it aimed to evaluate its expression among non-HCC CLD patients, CLD with HCC cases reported in our published (phase I) study, and healthy controls.

A cross-sectional study (phase II) was conducted involving 30 clinically, laboratory, and radiologically diagnosed Egyptian non-HCC CLD patients and 30 healthy subjects. The serum expression level of hsa_circ_101555 was measured using real-time polymerase chain reaction. The diagnostic accuracy was assessed through receiver operating characteristic curve analysis, calculating the area under the curve to determine sensitivity and specificity. The study also compared hsa_circ_101555 levels with established non-invasive parameters such as the Child-Turcotte-Pugh and model for end-stage liver disease scores, as well as inflammatory markers like the neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio.

hsa_circ_101555 demonstrated high diagnostic accuracy (area under the curve of 0.970) at a cutoff point of 2.088 for differentiating non-HCC CLD patients from healthy controls. Elevated circRNA levels were noted in patients with hepatic encephalopathy and ascites, correlating with advanced liver disease scores (Child-Turcotte-Pugh/model for end-stage liver disease scores). Mean circRNA values were highest in HCC cases, followed by non-HCC CLD patients, and lowest in healthy controls.

Serum-derived hsa_circ_101555 demonstrates high diagnostic accuracy in differentiating non-HCC CLD patients from healthy controls. These findings suggest that hsa_circ_101555 has the potential to serve as a reliable non-invasive biomarker for the early diagnosis of CLD, correlating with disease severity and inflammation markers. Further research with larger sample sizes is warranted to validate its clinical utility and enhance the management of CLD.

Febrile neutropenia (FN) is one of the acute and serious complications of chemotherapy-induced myelosuppression in tumor patients. Antibiotics and granulocyte colony-stimulating factor are the mainstays of its treatment. However, this therapy still faces many challenges and may trigger drug resistance, as well as adverse effects such as bone pain and vasculitis. How to minimize treatment-related toxicity while ensuring therapeutic efficacy has become a key issue to be addressed in current clinical practice. In recent years, traditional Chinese medicine (TCM) has demonstrated unique advantages in the prevention and treatment of FN. We conducted a comprehensive search of the PubMed, Web of Science, and CNKI databases using keywords such as TCM and FN, covering the period from their establishment to May 2025. Clinical studies have shown that the combination of TCM and modern medicine can significantly reduce the incidence of FN, while also enhancing the number of granulocytes, shortening the duration of fever, improving the quality of life of patients, and reducing other toxic effects of chemotherapy. These results suggest that TCM is a promising and safe complementary therapy. However, more high-quality trials are needed to verify its benefits. This review summarizes the latest progress in the treatment of FN with TCM and discusses future development directions.

Dysphagia, a severe comorbidity of many neurological diseases, often lacks targeted therapies. Electrical stimulation of cranial nerves represents a novel therapeutic class. This critical review assessed the clinical effectiveness and safety of various approaches for electrical stimulation of the cranial nerves for treating dysphagia, categorized as implantable (directly targeting the nerve), minimally invasive (pharyngeal electrical stimulation), and non-invasive (transcutaneous). A critical literature review was conducted following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. The PubMed database was comprehensively searched, and studies were rigorously assessed for inclusion and exclusion criteria. The Newcastle–Ottawa Scale was used to assess the risk of bias. The analysis included 15 clinical studies: four assessing vagus nerve stimulation (including implantable and transcutaneous approaches) and eleven assessing pharyngeal electrical stimulation. Most evaluated studies, particularly for pharyngeal electrical stimulation and transcutaneous vagus nerve stimulation, demonstrated significant beneficial effects on validated dysphagia outcome measures. Importantly, no long-term severe adverse effects were reported across the evaluated stimulation approaches. Cumulative evidence indicates that vagus nerve stimulation and pharyngeal electrical stimulation approaches can effectively alleviate dysphagia symptoms. The different stimulation approaches appear to be complementary, with distinct profiles rendering them suitable for different therapeutic contexts (e.g., short-term hospital-based vs. long-term at-home treatment). Consequently, they represent distinct and valuable options for individualized dysphagia therapy.

Artificial intelligence (AI) translation in genitourinary (GU) pathology has progressed unevenly across organs and tasks. This review addresses a central clinical question: which GU pathology AI applications are deployment-ready, which require further validation, and what frameworks can guide safe implementation? We synthesize evidence across GU organs and introduce pragmatic translation frameworks to guide deployment and prioritize translational research.

Narrative review integrating foundational literature with targeted 2023–2025 publications, emphasizing regulatory milestones, external validation, and prospective studies. Literature was identified through PubMed, Embase, and conference proceedings using structured search terms for AI, digital pathology, and GU organ-specific queries. For each organ/task, we mapped evidence strength, regulatory maturity, generalizability, workflow integration, safety, and feasibility to a Translational Readiness Index (TRI) rubric (0–30 scale).

Prostate biopsy AI demonstrates the strongest maturity (TRI 26/30), supported by U.S. Food and Drug Administration-cleared systems, multi-site validation, and prospective implementations showing efficiency gains and reduced ancillary testing. Bladder cytology shows moderate readiness (TRI 19/30), with commercial offerings supporting pilotable prescreening workflows aligned with the Paris System when paired with uncertainty-aware deferral. Bladder histology, renal neoplasia, and low-prevalence domains (testis, penis) remain emerging (TRI 6–15/30), constrained by label variability, rare subtype underrepresentation, and limited external validation.

The TRI rubric, SURE-Path safety bundle, and VALIDATED/ORCHESTRATE implementation pathway provide a practical template for evidence-based deployment in GU pathology. Clinically defensible translation requires matching intended use to validation evidence, with explicit safeguards for emerging applications.