As the leading cause of chronic liver disease globally, metabolic dysfunction-associated steatotic liver disease (MASLD) lacks effective therapies. This study aimed to investigate the therapeutic potential and molecular mechanisms of oxytocin (OXT) in MASLD.

Integrated bioinformatics analysis of MASLD datasets was carried out to identify OXT-related metabolic disturbances. Serum OXT levels were quantified using an enzyme-linked immunosorbent assay in 113 MASLD patients and 63 healthy controls. Mechanistic assays were conducted using oleic acid (OA)-induced, lipid-loaded HepG2 cells and high-fat diet-fed C57BL/6 mice, and OXT was administered intraperitoneally in vivo and supplemented in vitro.

Bioinformatics analysis revealed significant changes in OXT expression levels, particularly in fatty acid metabolism. Elevated OXT expression levels in MASLD patients were identified as an independent prognostic factor. In vitro, OXT significantly reduced OA-induced lipid accumulation in HepG2 cells, while in vivo, it decreased body weight, liver injury, and serum cholesterol levels in high-fat diet-fed mice. Mechanistically, OXT enhanced the expression level of phosphorylated AMP-activated protein kinase (AMPK) and suppressed the levels of sterol regulatory element-binding protein-1c (SREBP1c) and fatty acid synthase (FAS). Blockade of AMPK with the chemical inhibitor Compound C reversed the ability of OXT to suppress the SREBP1c/FAS axis and reduce lipid accumulation in hepatocytes. Additionally, OXT inhibited the nuclear translocation of SREBP1c in OA-treated cells.

The findings demonstrate that OXT may serve as a potential therapeutic agent for MASLD by regulating the AMPK/SREBP1c/FAS pathway in lipid metabolism.

Metabolic dysfunction-associated fatty liver disease (MAFLD) has become one of the leading causes of chronic liver diseases in China, imposing a substantial and growing burden on the healthcare system. Considering the large number of individuals affected by MAFLD and the gap in disease management capacity at the primary care level, standardized guidance tailored to primary healthcare settings is urgently needed. In response, the Chronic Disease Management Branch of the China Medical Biotechnology Association convened a multidisciplinary working group incorporating hepatologists, general practitioners, and other specialists to initiate the first China national Guidelines for Diagnosis and Management of Metabolic Dysfunction-associated Fatty Liver Disease in Primary Care (2025). These guidelines provide recommendations and suggestions covering screening, risk assessment, diagnosis, treatment, referral pathways, and follow-up tailored for primary care institutions, thereby improving the long-term outcomes for the population with MAFLD and comprehensively strengthening the role of primary healthcare in chronic liver disease management.

The history of screening for cervical cancer is rich with implementing cutting-edge ideas and technologies. From the very first “Pap smear” to the semi-automated and computerized systems of today, the way we screen for cervical cancer has changed dramatically in the past 75 years. With the advent of new techniques and more advanced machine learning algorithms, we sought to understand the current and future applications of artificial intelligence in clinical pathology around cervical cancer screening, diagnosis, and treatment.

A structured narrative review was conducted to examine the historical evolution and contemporary advances in cervical cancer screening, diagnosis, excisional management, and artificial intelligence applications. Peer-reviewed articles, consensus guidelines, and global policy documents published between January 1990 and March 2025 were identified through targeted searches of PubMed and review of reference lists from relevant publications. Search terms included combinations of “cervical cancer screening,” “Papanicolaou test,” “liquid-based cytology,” “HPV testing,” “colposcopy,” “loop electrosurgical excision procedure,” “digital pathology,” “deep learning,” and “artificial intelligence.” Emphasis was placed on multi-center validation studies, systematic reviews, regulatory and implementation guidance, and global health frameworks. Publications lacking methodological transparency or direct relevance to clinical or translational practice were excluded.

Through a review of the literature, we describe how innovations in conventional and liquid-based cytology, human papillomavirus testing, and organized screening programs established the current prevention framework. Building on this foundation, recent studies demonstrate promising performance of deep learning algorithms applied to conventionally prepared cervical cytology slides, with systems capable of binary normal versus abnormal classification as well as more granular diagnostic categorization. Artificial intelligence-assisted colposcopy and computer-vision approaches have also shown improved diagnostic concordance, workflow efficiency, and potential to expand screening capacity in resource-limited environments.

There has been much work done in the past several years surrounding the implementation of deep learning algorithms in regard to cervical cancer screening. The work in this field shows promise in enhancing diagnostic accuracy, streamlining diagnostic workflow, and decreasing turnaround times from specimen collection to rendering a diagnosis. However, there are still many technical, legal, and ethical questions that must be answered prior to widespread adoption of these algorithms for patient care.

Super-enhancers (SEs) are highly enriched clusters of transcriptional regulatory elements within the genome, occupying a central position in tumorigenesis and development. This review aims to synthesize the rapidly expanding body of knowledge on SEs as the central hub of tumor transcriptional regulation.SEs integrate specific transcription factors, dynamic epigenetic modifications (such as H3K27ac), and restructure the three-dimensional spatial architecture of the genome to aberrantly drive the expression of proto-oncogenes and cell identity-related genes. This activity sustains the malignant phenotype, stem cell properties, metabolic reprogramming, and therapy resistance of tumor cells. Their functions involve emerging physical mechanisms such as phase separation forming transcriptional condensates and long-range chromatin looping. The activity of SEs exhibits high tumor-type and tissue specificity. They are activated through unique mechanisms in different cancers, becoming key nodes of “transcriptional addiction” in tumor cells. This characteristic also makes them highly promising therapeutic targets. Inhibitors targeting core SE components (such as the BET protein BRD4 and transcriptional kinases CDK7/9), epigenetic drugs, and strategies aimed at disrupting their phase-separated condensates have shown selective efficacy in various preclinical tumor models. In conclusion, SEs serve as pivotal hubs of transcriptional addiction in cancer by integrating diverse molecular mechanisms to drive oncogenic programs, and their specific components present promising therapeutic targets; future advances in multi-omics and precision strategies will be key to translating these findings into clinical applications.

Terahertz (THz) radiation is increasingly explored for biomedical applications, however, its non-thermal effects on cellular metabolism and regulatory networks remain insufficiently characterized. This study aimed to investigate how 2.3 THz radiation affects metabolic pathways and membrane-associated signaling in human melanoma cells.

SK-MEL-28 melanoma cells were exposed to 2.3 THz radiation for 45 min using the 1st Novosibirsk free-electron laser. Cell viability was assessed by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide and trypan blue assays. Metabolic alterations were detected by targeted metabolomics using liquid chromatography–tandem mass spectrometry. Gene network analysis was performed using the ANDSystem platform to reconstruct gene and protein interaction networks linking altered metabolites to membrane receptors, lipid raft proteins, and signaling pathways. Overrepresentation analysis of biological processes was applied to identify enriched functional categories.

THz exposure did not affect cell viability but induced significant alterations in purine metabolism, pantothenate/CoA biosynthesis, and the pentose phosphate pathway. Network analysis revealed that these metabolic changes were associated with membrane raft reorganization and receptor-mediated signaling involving epidermal growth factor receptor and G-protein subunits. Additional effects were observed in pathways related to chromatin organization and post-translational regulation.

THz radiation induces coordinated remodeling of metabolic and regulatory networks in melanoma cells without cytotoxicity. These findings highlight the role of membrane-associated signaling in mediating THz-induced cellular responses and provide insight into potential biomedical applications of THz technologies.

DNA polymerase epsilon catalytic subunit A (POLE) gene plays a crucial role in DNA repair and chromosomal replication. Mutations in the POLE gene have been linked to cancer, particularly colorectal carcinoma (CRC). However, the genomic landscape and pathological significance of POLE mutant CRC remain underreported. This study aimed to characterize the clinicopathologic features and genomic landscape of CRC harboring POLE mutations and to investigate the implications of co-occurring genetic alterations.

We identified thirty-four CRC cases with POLE mutations from our institution’s database using the next-generation sequencing gene panels including 161-gene panel for the cases of 2016–2021 and the 505-gene panel for the case of 2022–2023. We collected clinicopathologic data (age, sex, tumor site, and grading) and conducted comprehensive next-generation sequencing. Survival outcomes were assessed by reviewing patients’ medical records at the time of data collection, with survival status determined based on the most recent clinical follow-up available with overall survival as the primary endpoint and a median follow-up time of 20.5 months. Statistical analyses, including chi-squared testing and CoMutation plotting, were performed using Python.

The enrolled 34 patients had a median age of 60.5 years (range: 37–84); tumors were in the colon (26 cases, 77%) and rectum (8 cases, 23%), with a mismatch repair deficiency rate of 29%. Next-generation sequencing analysis of a 505-gene panel revealed that POLE mutations were predominantly missense (89%). The mutations were distributed across various domains: 11.4% in the exonuclease domain, 25.7% in the catalytic domain, 20% in an unknown functional domain, and 42.9% in a nonfunctional domain. The average number of genomic mutations per case was 12.1 ± 12.3. CoMutation analysis identified two subsets: genomic mutation high (>5 mutations, range 6–60 mutations, n = 22) and mutation low (. Notably, TP53 mutations occurred in 55% of cases, and defects in double-stranded DNA repair proteins occurred in 47% of cases. POLE mutant CRC with co-occurring DNA repair mutations exhibited a significantly higher total number of genomic mutations (19.9 ± 14.4, range 7–60 mutations; chi-squared = 5.1, p-value = 0.02). Although a survival comparison between TP53 wild-type and TP53 mutant subgroups of POLE-mutant CRC is not statistical significant (p = 0.37), it showed a trend toward better survival in the TP53 wild-type group.

Our findings reveal unique genomic landscapes in POLE mutant CRC, particularly with co-occurring TP53 or double-stranded DNA repair mutations, which are critical in colorectal carcinogenesis. These tumors demonstrate increased genetic instability, highlighting potential for immunotherapy.

Congenital portosystemic shunts (CPSS) are rare vascular anomalies characterized by abnormal communication between the portal and systemic venous systems, resulting in partial or complete diversion of portal blood away from the liver. These shunts can give rise to a broad spectrum of clinical manifestations, including hyperammonemia (with or without encephalopathy), hepatopulmonary syndrome, and portopulmonary hypertension. Notably, these complications often occur in the absence of portal hypertension. Advances in diagnostic imaging, particularly Doppler ultrasound, computed tomographic angiography, and magnetic resonance imaging, have enhanced the early detection and classification of CPSS. Treatment approaches vary depending on shunt type and clinical severity and may include interventional closure via embolization or surgical ligation. Most persistent or symptomatic shunts require immediate intervention. Recent studies have also identified potential genetic and embryological mechanisms contributing to CPSS development, offering new insights into their pathogenesis. This review aims to summarize current knowledge on the epidemiology, pathophysiology, clinical presentation, diagnostic evaluation, and management of CPSS, and to highlight their consideration in patients with hepatic encephalopathy or unexplained liver disease.

Accumulating evidence indicates that fecal syndecan-2 (SDC2) methylation is a promising biomarker for early detection of colorectal cancer. This study aimed to investigate the diagnostic efficacy of fecal SDC2 methylation testing for adenomas and evaluate the risk stratification efficacy of the Asia-Pacific Colorectal Screening Scoring (APCS) combined with SDC2 methylation status.

This was a prospective, multicenter diagnostic study. Adult participants with no history of colonoscopy within the past three years were enrolled. Demographic data were collected, and APCS scores were evaluated. All participants underwent fecal SDC2 methylation testing and colonoscopy. Colonoscopy outcomes and pathological results of any polyps served as reference standards. The fecal SDC2 methylation test and reference standard assessments were conducted in a blinded manner. The APCS-SDC2 scoring system was developed by integrating fecal SDC2 methylation results with APCS scores, and its efficacy was assessed.

In total, 985 participants were enrolled, among whom 62 (6.3%) tested positive for fecal SDC2 methylation. The sensitivity and specificity of fecal SDC2 methylation in detecting advanced adenomas were 31.3% (95% confidence interval (CI): 21.6–42.7%) and 96.1% (95% CI: 94.6–97.2%), respectively. The APCS-SDC2 scoring system demonstrated superior discriminatory performance for advanced adenomas (area under the curve: 0.7032; 95% CI: 0.5869–0.8195). For advanced adenoma screening, the specificity of the APCS-SDC2 score was higher than that of the APCS score (86.7% vs. 66.7%; P < 0.001).

A positive fecal SDC2 methylation test indicated a higher risk of advanced adenoma, and colonoscopy should be prioritized. The APCS-SDC2 scoring system demonstrated superior risk stratification performance for advanced adenomas.