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.

Histologic remission is recommended as an adjunctive treatment target in ulcerative colitis, and scoring systems have been proposed to enhance reproducibility. The Nancy Histologic Index (NHI) is increasingly used in clinical trials; however, its performance in real-world settings is not fully established. This study aimed to assess the interrater reliability (IRR) of the NHI among gastrointestinal pathologists in the United States.

Thirty-seven whole-slide images of colorectal biopsies from 34 treated ulcerative colitis patients enrolled in a multicenter adult cohort were independently reviewed by 12 gastrointestinal pathologists. Each biopsy was reviewed twice, five months apart, and graded using the NHI. Prior to the second review, pathologists completed an online tutorial on the NHI.

The NHI showed substantial IRR in both reviews [intraclass correlation coefficient (ICC) = 0.79; 95% confidence interval (CI), 0.70–0.87 at Review 1; ICC = 0.78; 95% CI, 0.69–0.86 at Review 2]. However, considerable variability was observed in individual grade assignments, with the lowest IRR for Grade 2 (ICC = 0.24; 95% CI, 0.15–0.37; P < 0.001, and ICC = 0.23; 95% CI, 0.14–0.36; P < 0.001 for Reviews 1 and 2, respectively), followed by Grade 4 (ICC = 0.41; 95% CI, 0.29–0.55; P < 0.001, and ICC = 0.47; 95% CI, 0.35–0.61; P < 0.001). Grade 1 showed the highest IRR (ICC = 0.79; 95% CI, 0.70–0.87; P < 0.001, and ICC = 0.78; 95% CI, 0.69–0.86; P < 0.001). When Grades 2, 3, and 4 (i.e., active disease) were grouped together, the IRR remained substantial across both reviews (ICC = 0.76; 95% CI, 0.66–0.85; P < 0.001).

While the substantial IRR for active disease (Grades ≥ 2) in this study underscores the clinical utility of the NHI, the IRR for grades 2, 3 and 4 was fair. Thus, refining the criteria for Grades 2, 3, and 4 will be needed to reduce variability among observers and enabling more accurate monitoring of treatment endpoints.

Mitochondria are highly dynamic organelles that adapt to cellular stress and metabolic demands through processes such as fission, fusion, mitophagy, and transport, all of which are vital for maintaining cellular signaling and metabolic homeostasis. Fission facilitates mitochondrial division and biogenesis, while fusion enhances mitochondrial fitness and metabolic flexibility by mitigating damage. Together, these processes play a critical role in regulating cellular stress responses and apoptosis. Dysregulation of mitochondrial dynamics has been linked to impaired development and cancer progression, including breast cancer metastasis. A comprehensive understanding of mitochondrial dynamics in breast cancer progression is essential for advancing precision medicine. This review delves into the intricate molecular mechanisms governing mitochondrial biogenesis, fission, fusion, and mitophagy, with a particular focus on the role of mitophagy in maintaining mitochondrial homeostasis and its connection to metastasis progression. Furthermore, it discusses potential therapeutic strategies targeting mitochondrial dynamics and highlights the critical steps necessary to translate these approaches into clinical trials.

Pituitary tumors are common intracranial neoplasms that can cause significant morbidity due to hormonal dysregulation and compression of surrounding structures. Despite advancements in surgical techniques, challenges persist in treating large, invasive, or recurrent tumors, where complete resection is often difficult. The molecular and genetic mechanisms underlying pituitary tumorigenesis are not yet fully understood, limiting the development of targeted therapies. This review provides a comprehensive overview of recent advancements in neuroendoscopic treatment of pituitary tumors, with a focus on pathogenesis, technological innovations, clinical outcomes, and future directions. We highlight the potential of neuroendoscopic surgery to improve patient outcomes while addressing persistent challenges, such as the steep learning curve and limitations in instrument maneuverability. Future research should prioritize enhancing instrument design, developing 3D and augmented reality visualization systems, and improving training programs to further advance neuroendoscopic techniques.

Lung metastasis is common in hepatocellular carcinoma (HCC) and is typically associated with a poor prognosis. In this report, we present a case of advanced HCC in a 46-year-old Chinese male with lung metastases. The patient received two cycles of sequential hepatic arterial infusion chemotherapy and transarterial embolization in combination with lenvatinib (a tyrosine kinase inhibitor) and tislelizumab (a programmed cell death protein 1 immune checkpoint inhibitor). After three months of treatment, the intrahepatic tumors showed a partial response, while the bilateral lung metastases exhibited a complete response. Concurrently, levels of alpha-fetoprotein and protein induced by vitamin K absence or antagonist-II decreased to normal levels. Systemic treatment with lenvatinib and tislelizumab was continued for 10 months. This case underscores the potential of combination therapies for advanced HCC with lung metastases and provides a novel perspective on a therapeutic approach involving sequential hepatic arterial infusion chemotherapy and transarterial embolization with immune checkpoint and tyrosine kinase inhibitors.

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.

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.

Celiac disease is a chronic, immune-mediated enteropathy precipitated by gluten exposure in genetically predisposed individuals, with a global prevalence of approximately 1%. Though diagnostic workflows incorporate serologic techniques with both histologic and genetic evaluation, each approach carries key pitfalls that contribute to diagnostic inaccuracy. Serology testing is limited by selective immunoglobulin A deficiency and low-titer antibodies, in addition to interlaboratory variability of calibration standards and specimen concentrations. While duodenal biopsy is considered the gold standard for celiac diagnosis, patchy villous atrophy (e.g., ultrashort celiac disease) mimics other enteropathies, and the inherent subjectivity of histologic interpretation can compromise accuracy. Furthermore, celiac predisposition is highly correlated with two human leukocyte antigen (HLA) alleles, HLA-DQ2 and HLA-DQ8. However, nearly 30–40% of the general population expresses one of these alleles, thus introducing the risk of overdiagnosis and limiting the practical implications of genetic testing. There exist special celiac presentations, such as seronegative or potential celiac disease, overlap syndromes, and enteropathy-associated T-cell lymphoma, that introduce additional challenges to diagnostic success. The serologic-histologic discordance and nonspecific symptoms associated with these cases may require divergence from the traditional workflow, as well as supplemental investigations, such as a gluten challenge or breath testing, to confirm a celiac diagnosis. These challenges in celiac diagnosis have driven research into novel biomarkers and molecular assays that can not only enable earlier, more accurate detection but also provide longitudinal disease monitoring. Such markers include intestinal fatty acid-binding proteins, specific microRNA expression, and microbiome signatures that are strongly linked to celiac disease, which may one day serve as adjunctive screening tools to optimize diagnostic yield. This narrative review identifies the key pitfalls in adult celiac disease diagnosis — from pre-analytic serology issues to patchy histology and overinterpretation of HLA — and proposes a guideline-aligned, stepwise algorithm (with emerging biomarkers) to enhance accuracy and reduce missed or delayed cases. Ultimately, continued refinement of a comprehensive, multimodal diagnostic strategy that can integrate with emerging molecular tools is necessary for overcoming the current limitations of individual approaches to celiac diagnosis.

Metabolic dysfunction-associated fatty liver disease, representing a spectrum of liver disorders from simple steatosis to metabolic dysfunction-associated steatohepatitis, fibrosis, and cirrhosis, has emerged as one of the most prevalent chronic liver conditions globally, affecting an estimated approximately 30% of the world's population. Its pathogenesis is highly complex, involving intricate interactions between genetic predisposition, metabolic dysregulation, inflammation, and cellular stress responses. Within this complex landscape, orphan nuclear receptors (ONRs) have gained significant attention. Defined by the lack of identified endogenous ligands, ONRs function as master transcriptional regulators controlling diverse biological processes. Crucially, they play pivotal roles in the development and progression of numerous diseases, including metabolic disorders.This review specifically focuses on elucidating the critical contributions of various ONRs to the pathogenesis of metabolic dysfunction-associated fatty liver disease. We examined how these receptors modulate key pathological drivers: lipid metabolism, inflammation,and autophagy.

Chronic obstructive pulmonary disease (COPD) is an irreversible inflammatory lung disease. Studies have shown that macrophages and estrogen receptors play a pivotal regulatory role in the development of COPD. Ejiao (Colla Corii Asini, CCA, or donkey-hide gelatin), a traditional Chinese medicine, has anti-inflammatory and lung function-protective effects, but its specific mechanism in COPD remains unclear. This study aimed to explore the immunomodulatory effects of Ejiao on COPD, focusing on its impact on inflammatory pathways and macrophages.

This study is the first to apply a network pharmacology approach to explore the potential mechanisms underlying Ejiao’s therapeutic effects on COPD. We collected the peptides and chemical components of Ejiao and used the STRING database to screen for COPD-related targets of Ejiao components, constructing a drug-molecular network. Additionally, we established cigarette smoke extract (CSE) and lipopolysaccharide-induced cell injury models and treated them with Ejiao-containing serum. Western blot (WB) analysis was used to detect the expression of related proteins, enabling a preliminary exploration of Ejiao’s effects and regulatory mechanisms. In further experiments, a mouse COPD model was established, and eight weeks of Ejiao intervention were conducted. We assessed lung function, pathological changes in lung tissue, monitored cytokine levels in serum and bronchoalveolar lavage fluid, performed flow cytometry to evaluate abdominal macrophage levels, and conducted WB to analyze protein expression, providing an in-depth study of Ejiao’s regulatory effects on the mouse COPD model.

The findings from the network pharmacology analysis suggest a potential regulatory role of the estrogen receptor pathway in COPD. CSE stimulation of RAW264.7 cells resulted in elevated tumor necrosis factor-α levels, decreased interleukin-10 levels, reduced expression of estrogen receptors (ERs) α and β, decreased inhibitor of NF-κB levels, and increased p-AKT levels. Following Ejiao intervention, interleukin-10, ERα+β, and inhibitor of NF-κB levels increased, while p-AKT levels decreased. Ejiao significantly improved lung function in CSE/lipopolysaccharide-induced COPD mice, reduced the number of macrophages, lowered the levels of inflammatory factors in bronchoalveolar lavage fluid, and increased estradiol levels in serum. WB results indicated that Ejiao may ameliorate lung injury in COPD by modulating the ER/AKT/NF-κB pathway.

The results suggest that Ejiao may improve lung injury and inflammation in CSE/ lipopolysaccharide-induced COPD by regulating the ER/AKT/NF-κB pathway.