Autoimmune hepatitis (AIH) is an inflammatory liver disease influenced by genetic, environmental, and immunologic factors. Individuals diagnosed with AIH may exhibit concurrent autoimmune manifestations affecting multiple organ systems. The prevalence of AIH associated with other autoimmune diseases has been reported to range from 20% to 40%. This review indicates that the associations between AIH and autoimmune thyroiditis, type 1 diabetes mellitus, ulcerative colitis, Crohn disease, and celiac disease appear to be significant. However, the associations between AIH and primary sclerosing cholangitis, primary biliary cholangitis, rheumatoid arthritis, systemic lupus erythematosus, Sjögren syndrome, and vitiligo are not well-supported. The aim of this review is to evaluate the strength of the reported associations between AIH and other autoimmune diseases, and to update and present the available evidence on their prevalence, proposed underlying pathogenic mechanisms, diagnostic considerations, and treatment approaches.

The importance of putative folate-biopterin metabolic interactions lies in the role they may play in the expression of several clinically relevant phenotypes. However, to date, clinical studies on folate-biopterin interactions have been limited. The purpose of this article was to highlight the close relationship between these two cofactors, which share structural similarities and exhibit overlapping metabolic pathways. This folate-biopterin crosstalk has generated several ideas and hypotheses that are critical to advancing the biochemical understanding of several important and seemingly disparate clinical and/or biologically important phenotypes. These phenotypes include melanization/pigmentation, phenylketonuria, autism, neural tube defects, affective disorders, and vascular disease. This review provides a timely, integrated overview of this important area of biochemistry, which is under-represented in the literature and would benefit from further scientific and clinical investigation using improved metabolite-specific analytical methodologies applied to clinically relevant questions.

Portal hypertension can cause serious complications such as upper gastrointestinal bleeding, primarily due to esophageal and gastric varices. The risk of mortality from variceal hemorrhage is significant, particularly when the hepatic venous pressure gradient exceeds 12 mmHg. Established treatments generally include endoscopic variceal band ligation and cyanoacrylate glue for gastric varices; however, challenges such as limited availability and a lack of technical expertise can hinder the use of glue, leading to preventable complications. This study investigates the efficacy of using a 50% glucose solution for injection sclerotherapy in cases of gastric varices. We present three unique patient cases. The first case involves a 21-year-old with persistent upper gastrointestinal bleeding and a portal vein thrombus, who experienced temporary relief after receiving injection sclerotherapy but tragically succumbed to significant bleeding later. The second case describes a 24-year-old who successfully managed his bleeding with the same treatment but was subsequently lost to follow-up. Lastly, a 72-year-old patient with recurrent painless hematemesis remained free of symptoms following injection sclerotherapy. Overall, while cyanoacrylate glue remains the preferred treatment, injection sclerotherapy with 50% dextrose shows promise as an effective alternative, particularly in settings where conventional treatments are not readily available, potentially reducing the risks associated with untreated variceal bleeding.

Nutrition plays a pivotal role in the prevention and management of gastrointestinal and hepatic diseases, yet dietary guidance remains generic, limiting its effectiveness. Conditions such as inflammatory bowel disease, irritable bowel syndrome, metabolic dysfunction-associated steatotic liver disease, celiac disease, and gastroesophageal reflux disease are significantly influenced by dietary factors. Personalized nutrition has emerged as a promising strategy to tailor interventions, but conventional approaches fail to account for individual metabolic, genetic, and microbiome variability, limiting their clinical impact. The rapid rise of artificial intelligence (AI) has transformed precision nutrition by integrating genomics, microbiome profiles, metabolic markers, and real-time dietary tracking to generate individualized recommendations. AI-driven systems are advancing dietary assessment, condition-specific nutrition optimization, and continuous monitoring through tools such as wearable devices and natural language processing-based diet analysis. These innovations hold transformative potential in gastroenterology and hepatology, offering dynamic, patient-specific strategies that may enhance clinical outcomes. However, challenges remain, including the lack of standardized AI-driven protocols, ethical concerns such as bias and data privacy, limited clinical validation, and the underrepresentation of nutrition in many current AI applications. Opportunities for progress include developing federated learning models, expanding real-world validation studies, and designing regulatory and ethical frameworks for safe implementation. This narrative review synthesizes literature published between 2015 and 2025 across five databases, highlighting key applications, limitations, and future directions of AI-driven personalized nutrition in gastroenterology and hepatology. It provides insights into how AI could reshape patient-centered care through more individualized, effective, and scalable dietary strategies.

Chronic liver cirrhosis (LC) and acute-on-chronic liver failure (ACLF) are interconnected hepatic disorders associated with substantial morbidity and mortality. Despite their distinct clinical characteristics, both conditions share common pathogenic pathways that remain inadequately understood. This study aimed to identify shared gene signatures and elucidate underlying molecular mechanisms.

In this study, we employed Weighted Gene Co-Expression Network Analysis to explore transcriptomic data from the Gene Expression Omnibus for LC and ACLF.

Key co-expression modules enriched with genes involved in glycolysis and gluconeogenesis pathways were identified, implicating metabolic dysfunction as a central feature in both conditions. Furthermore, microRNA analysis revealed that hsa-miR-122 and hsa-miR-194 play pivotal roles in regulating these metabolic pathways, potentially contributing to immune dysregulation.

Our findings indicate that these shared molecular mechanisms are critical in the progression from LC to ACLF, providing novel insights into potential therapeutic targets for mitigating disease severity and improving clinical outcomes.

The causal biomarkers for metabolic dysfunction-associated steatotic liver disease (MASLD) and their clinical value remain unclear. In this study, we aimed to identify biomarkers for MASLD and evaluate their diagnostic and prognostic significance.

We conducted a Mendelian randomization analysis to assess the causal effects of 2,925 molecular biomarkers (from proteomics data) and 35 clinical biomarkers on MASLD. Mediation analysis was performed to determine whether clinical biomarkers mediated the effects of molecular biomarkers. The association between key clinical biomarkers and MASLD was externally validated in a hospital-based cohort (n = 415). A machine learning–based diagnostic model for MASLD was developed and validated using the identified molecular biomarkers. Prognostic significance was evaluated for both molecular and clinical biomarkers.

Six molecular biomarkers—including canopy FGF signaling regulator 4 (CNPY4), ectonucleoside triphosphate diphosphohydrolase 6 (ENTPD6), and major histocompatibility complex, class I, A (HLA-A)—and eight clinical biomarkers (e.g., serum total protein (STP)) were identified as causally related to MASLD. STP partially mediated the effect of HLA-A on MASLD (23.61%) and was associated with MASLD in the external cohort (odds ratio = 1.080, 95% confidence interval: 1.011–1.155). A random forest model demonstrated high diagnostic performance (AUC = 0.941 in training; 0.875 in validation). High expression levels of CNPY4 and ENTPD6 were associated with the development of and poorer survival from hepatocellular carcinoma. Low STP (<60 g/L) predicted all-cause mortality (HR = 2.50, 95% confidence interval: 1.22–5.09).

This study identifies six causal molecular biomarkers (e.g., CNPY4, ENTPD6, HLA-A) and eight clinical biomarkers for MASLD. Notably, STP mediates the effect of HLA-A on MASLD and is associated with all-cause mortality.

High-grade serous carcinoma is a rare diagnosis in cervical biopsies. Cervical serous carcinoma is no longer recognized as a primary cervical tumor in the 2020 World Health Organization classification. This study aimed to characterize the clinicopathologic, immunohistochemical, and molecular features of high-grade serous carcinoma identified in cervical or endocervical biopsies, to assess tumor origin and ensure accurate classification.

Fifty-nine cases originally diagnosed as “serous carcinoma” or “high-grade serous carcinoma” in cervical or endocervical biopsies from 2013 to 2023 were retrospectively reviewed. Clinical data, radiologic findings, and follow-up information were analyzed. Histologic features and immunohistochemical profiles were re-evaluated. Targeted next-generation sequencing was performed on a subset of cases.

The majority of tumors (96%) were determined to originate from the endometrium (n = 47) or the tubo-ovarian region (n = 4), with only one case confirmed as a primary cervical carcinoma. Morphologic patterns varied and could mimic human papillomavirus-associated adenocarcinoma. All tumors showed aberrant p53 expression and diffuse p16 positivity. WT-1 was expressed in all tubo-ovarian tumors but in only 12% of endometrial cases. Estrogen receptor and progesterone receptor were frequently positive in endometrial tumors; human epidermal growth factor receptor 2 was positive in 31% of cases. Molecular analysis confirmed tumor protein p53 mutations and other alterations typical of uterine serous carcinoma.

High-grade serous carcinoma identified in cervical biopsies is overwhelmingly secondary to upper genital tract tumors, most commonly of endometrial origin. A small subset of endocervical adenocarcinomas may mimic serous carcinoma. These findings support the exclusion of primary cervical serous carcinoma from the current World Health Organization classification and emphasize the importance of accurate diagnosis for appropriate management.

Ischemic stroke is a complex cerebrovascular disorder characterized by highly unpredictable outcomes influenced by patient-specific variables, including age, stroke severity, and preventable stroke-related complications such as infections. Analyses of clinical data have indicated a cumulative post-stroke infection rate of approximately 30%, with reported rates ranging from 5% to 65%. Post-stroke infections pose a significant challenge, as they not only increase the financial burden of stroke care but are also associated with adverse clinical outcomes, prolonged hospital stays, and a higher risk of stroke recurrence. The inflammatory response plays a pivotal role in the pathophysiology of ischemic stroke, encompassing the activation of inflammatory cells, the release of inflammatory mediators, and the engagement of inflammatory signaling pathways. Recent advances in molecular biology have facilitated the identification and investigation of numerous inflammation-related biomarkers. This article reviews the roles and mechanisms of key inflammatory biomarkers, including cytokines, chemokines, adhesion molecules, inflammation-related enzymes and mediators, receptors, signaling pathway molecules, and acute-phase proteins in the context of ischemic stroke, highlighting their significance in stroke pathophysiology and prognostic assessment. Additionally, in conjunction with the latest research advances, the article discusses novel biomarkers such as microRNAs and galectin-3, which are emerging as important tools in multiple domains, including diagnosis and treatment. Drawing on clinical diagnostic and therapeutic practices, this review analyzes the diagnostic and therapeutic roles of both novel and traditional biomarkers in the progression of ischemic stroke, following the temporal sequence from disease onset to prognosis. Finally, the article addresses the limitations of current research and offers perspectives on future directions, providing insights that may contribute to the advancement of precision medicine in the management of ischemic stroke.

The advent of nanoparticle technology has transformed oncology therapeutics through its capacity for accurate drug delivery and regulated pharmaceutical release, boosting treatment effectiveness while minimizing adverse reactions. Various nanostructures, including polymeric carriers, liposomal formulations, and metal-based nanoparticles, can be engineered with tumor-specific targeting molecules to facilitate cellular uptake in malignant cells. Despite these advancements, issues such as production scalability, potential chronic toxicity, and regulatory approval processes still need to be addressed. Viral nanoparticles and virus-like particles (VLPs) represent innovative tools in nanotechnology and biomedicine, offering exceptional potential for targeted therapies, immune modulation, and diagnostic applications. Their natural biocompatibility, precise structural organization, and capacity for surface modification make them highly suitable for developing strategies to treat malignant tumors. Alongside VLP development, other approaches have also been investigated, such as magnetic hyperthermia, where magnetic nanoparticles are used to generate localized heat under an external magnetic field, selectively destroying cancer cells while sparing healthy tissue. This paper presents a brief review of nanocarriers in drug delivery systems and discusses the integration of nanoparticles, viral nanoparticles, and VLPs. Additionally, we explore the challenges and propose cutting-edge solutions, offering a forward-looking perspective on how the combination of these advanced technologies could transform oncology.