circPVT1 has emerged as a key regulator in disease progression and clinical outcomes. However, its prognostic relevance and association with clinicopathological parameters in solid malignancies remain to be fully elucidated. To address this, we conducted a meta-analysis to elucidate the clinical significance of circPVT1 in solid tumors.

A comprehensive literature search was conducted across multiple databases, including PubMed, Web of Science, Embase, the Cochrane Library, and CNKI, with a cutoff date of December 31, 2024. Statistical analyses were conducted using STATA 12.0 to calculate pooled hazard ratios (HRs) and odds ratios (ORs) with 95% confidence intervals (CIs), assessing the impact of circPVT1 expression on overall survival (OS) and its association with clinicopathological characteristics.

This analysis included 27 clinical studies encompassing a total of 2,219 patients. Elevated circPVT1 expression was significantly associated with poorer OS in patients with solid tumors (HR = 1.68, 95% CI: 1.39–2.02, P < 0.001). This association was particularly notable in lung cancer (HR = 2.08, 95% CI: 1.51–2.88, P < 0.001) and osteosarcoma (HR = 1.65, 95% CI: 1.38–1.97, P < 0.001), with similar trends observed in hepatocellular carcinoma, colorectal cancer, and papillary thyroid carcinoma. Furthermore, the increased circPVT1 level was correlated with larger tumor size (OR = 1.36, 95% CI: 1.11–1.67, P = 0.004), lymph node metastasis (OR = 1.56, 95% CI: 1.22–2.00, P < 0.001), distant metastasis (OR = 1.80, 95% CI: 1.10–2.92, P = 0.017), and advanced tumor-node-metastasis stage (OR = 1.84, 95% CI: 1.50–2.25, P < 0.001).

Aberrant circPVT1 expression is associated with adverse OS and unfavorable clinicopathological features in solid tumors, underscoring its potential utility as a prognostic biomarker and indicator of tumor aggressiveness.

General transcription factor IIIC subunit 2 (GTF3C2) is one of the polymerase III transcription-related factors. Previous studies have revealed that GTF3C2 is involved in regulating cell proliferation. However, the role of GTF3C2 in hepatocellular carcinoma (HCC) remains unclear. This study aimed to determine its expression, biological function, and mechanism in HCC.

The expression of GTF3C2 in HCC and non-tumor tissues, along with its clinical significance, was investigated using public databases and clinical samples. Reverse transcription-quantitative polymerase chain reaction and Western blot assays were performed to detect the expression of GTF3C2, ubiquitin specific peptidase 21 (USP21), mitogen-activated protein kinase 2 (MEK2), extracellular signal-regulated kinase 1/2 (ERK1/2), and p-ERK1/2 in cells. A luciferase reporter assay was conducted to explore the regulatory effect of GTF3C2 on USP21 transcription. Cell Counting Kit-8, 5-ethynyl-2′-deoxyuridine, and colony formation assays were performed to assess HCC cell proliferation. Subcutaneous injection of HCC cells into nude mice was used to evaluate tumor growth in vivo.

GTF3C2 expression was upregulated in HCC tissues and was positively correlated with advanced tumor stages and high tumor grades. HCC patients with high GTF3C2 expression had significantly worse survival outcomes. Knockdown of GTF3C2 suppressed the proliferation of Hep3B and HCCLM3 cells, while overexpression of GTF3C2 facilitated the proliferation of SNU449 and Huh7 cells. GTF3C2 promoted USP21 expression by activating its transcription, which subsequently increased the levels of MEK2 and p-ERK1/2 in HCC cells. Overexpression of both USP21 and MEK2 counteracted the GTF3C2 knockdown-induced inactivation of the ERK1/2 pathway. Moreover, GTF3C2 promoted HCC cell proliferation in vitro and tumor growth in vivo by regulating the USP21/MEK2/ERK1/2 pathway.

Upregulation of GTF3C2 is frequently observed in HCC tissues and predicts poor prognosis. GTF3C2 promotes HCC cell proliferation via the USP21/MEK2/ERK1/2 pathway.

Khat (Catha edulis) is a plant native to East Africa and the Arabian Peninsula, chewed for its stimulant effects by millions worldwide. Its sympathomimetic properties, primarily due to cathinone and other pyrrolizidine alkaloids, resemble those of amphetamine. Emerging reports have linked khat use to the development of autoimmune hepatitis, supported by elevated autoimmune markers, characteristic liver biopsy findings, and clinical resolution following khat cessation or a prompt response to corticosteroid therapy without recurrence. In this review, we aimed to update knowledge on both acute and chronic forms of khat-associated AIH. We discuss cathinone metabolism, pharmacokinetics, and proposed mechanisms of khat hepatotoxicity. We also provide an updated synthesis of published cases of khat-associated autoimmune hepatitis, including our calculated Roussel-Uclaf Causality Assessment Method analysis and the simplified Hennes AIH score where data were available. Case presentations, diagnostic criteria, histopathological findings, and treatment approaches are summarized to help guide management.

Familial hypobetalipoproteinemia (FHBL), caused by apolipoprotein B (APOB) variants, disrupts APOB-containing lipoprotein synthesis, leading to reduced serum total cholesterol, low-density lipoprotein cholesterol, and APOB. Heterozygous carriers are often asymptomatic, while homozygotes exhibit severe manifestations like malabsorption, vitamin deficiencies, and hepatic steatosis. In recent years, FHBL has attracted increasing attention due to its association with liver disease and its role as a unique monogenic model of steatotic liver disease independent of cardiometabolic risk factors. Mechanistically, lipid overload, endoplasmic reticulum stress, oxidative damage, and impaired autophagy may drive hepatocellular injury and fibrosis. Challenges include insufficient diagnosis, sparse epidemiological data, and unclear disease progression. Enhanced genetic testing, mechanistic research, and longitudinal studies are critical to improving diagnosis, risk assessment, and therapies for FHBL-associated liver disease.

Emerging evidence implicates immune dysregulation and neuroinflammation in the pathogenesis of epilepsy, yet the causal mechanisms remain unclear. This study aimed to investigate the causal effects of immune cells and inflammatory proteins on epilepsy and evaluate the mediating role of inflammatory proteins.

This study utilized the largest available genome-wide association study data on immune cell phenotypes and inflammatory proteins as exposures, and epilepsy genome-wide association study data from the FinnGen dataset as outcomes. Five Mendelian randomization (MR) methods were applied within a two-sample MR framework to assess causal effects. Furthermore, a two-step MR analysis was conducted to quantify the proportion of epilepsy and its subtypes influenced by immune cells through inflammatory proteins.

The two-sample MR analysis identified 32 immune cell phenotypes associated with epilepsy risk (19 risk-increasing, e.g., CD19+ B cells; 13 protective, e.g., regulatory T cell subsets). Subtype analyses revealed 30 immune phenotypes associated with generalized epilepsy and 26 with focal epilepsy. Eight inflammatory proteins showed suggestive causal effects on epilepsy: C-C chemokine ligand 23, C-X-C motif chemokine ligand 6, C-X-C motif chemokine ligand 11, and vascular endothelial growth factor A increased epilepsy risk, while interleukin-13 (IL-13), leukemia inhibitory factor receptor, tumor necrosis factor, and osteoprotegerin conferred protection. Mediation analysis indicated that inflammatory proteins mediated 6.3–13.5% of the immune effects on epilepsy. Specifically, CD14+CD16+ monocytes increased epilepsy risk through elevated C-C chemokine ligand 23 levels (8.5% mediation), while effector memory double-negative (CD4−CD8−) T cells reduced epilepsy risk via upregulation of IL-13 (6.3%). Sensitivity analyses confirmed the robustness of these findings (P heterogeneity/pleiotropy > 0.05). Although no associations reached Bonferroni-corrected significance, the findings implicate B cells, monocytes, regulatory T cells, and cytokines (e.g., IL-13, leukemia inhibitory factor receptor) in the pathogenesis of epilepsy, with inflammatory proteins acting as partial mediators.

These results enhance our understanding of immune-inflammatory pathways in epilepsy and highlight potential therapeutic targets. Future studies should validate these findings across diverse populations and further elucidate the molecular mechanisms underlying the identified associations.

Prostate cancer is the second most diagnosed cancer in men worldwide and a significant cause of cancer-related death. Proteogenomic analysis offers insights into how genomic mutations influence protein expression and can identify novel biomarkers. This study aimed to investigate the impact of missense mutations on protein abundance in prostate cancer versus healthy tissues using SILAC-based quantitative proteomics.

Mass spectrometry data from prostate tumors and adjacent healthy tissues were analyzed using stable isotope labeling. Peptides were classified based on their abundance into RefSeq and Variant Abundant groups. Missense mutations were mapped via RefSeq and dbPepVar databases. Protein intensity metrics were compared, and Spearman’s correlation was used to evaluate the relationship between mutation presence and protein abundance.

Functional enrichment revealed that RefSeq Abundant proteins are involved in normal metabolic and structural functions, while Variant Abundant proteins are enriched in tumor-related pathways such as immune evasion and apoptosis suppression. A significant negative correlation was found between protein intensity difference and ratio (p < 0.05), indicating that missense mutations contribute to altered protein expression. Mutation hotspot analysis identified recurrent alterations in genes such as PPIF and ACTB. PROVEAN was used to evaluate the functional impact of variants, identifying several as deleterious to protein stability and function.

Missense mutations are associated with altered protein abundance and may promote oncogenic processes in prostate cancer. These findings enhance the understanding of genome-proteome interactions and could support the development of targeted biomarkers and therapies.

Radiotherapy remains one of the essential treatment modalities for brain gliomas, brain metastases, pediatric neuroblastomas, and primary central nervous system lymphomas. With continuous advancements in modern radiotherapy techniques, patients have achieved significantly improved local control rates and prolonged survival. However, the long-term complications associated with radiotherapy have become increasingly evident. Radiation-induced brain injury (RIBI) is a clinical syndrome characterized primarily by neurological dysfunction following focal or whole-brain radiotherapy. It negatively impacts patients’ quality of life and imposes a considerable burden on families and society. With the rapid development of medical imaging and artificial intelligence technologies, multimodal imaging techniques, including structural magnetic resonance imaging, diffusion-weighted imaging, functional magnetic resonance imaging, perfusion imaging, positron emission tomography-computed tomography metabolic imaging, and radiomics, have demonstrated significant potential for early detection, dynamic monitoring, and quantitative evaluation of RIBI. Meanwhile, treatment strategies for RIBI are shifting from traditional symptomatic and supportive care toward multidimensional interventions aimed at protecting the blood-brain barrier, modulating neuroinflammation, and implementing precise targeted therapies. Additionally, emerging studies have explored neuromodulation techniques and gut-brain axis regulation, offering new directions for the prevention and treatment of RIBI. Although conventional imaging methods remain valuable for diagnosing RIBI, they exhibit notable limitations in the early stages of the disease and in differentiating RIBI from tumor recurrence. This review focuses on the current state of technological development, key findings, and existing limitations, with the aim of providing a theoretical foundation and technical support for the early identification and precise intervention of RIBI.

The global integration of traditional medicine (TM) and modern medicine reflects a fundamental shift in healthcare aimed at delivering more holistic, culturally sensitive, and patient-centered care. With over 80% of the global population relying on some form of TM, especially in Asia, Africa, and Latin America, there is growing momentum to institutionalize TM alongside evidence-based biomedicine. Countries like India, China, and Korea have led integration through formal education, government-supported research, and clinical frameworks, while high-income countries are increasingly adopting complementary and integrative medicine models. However, this convergence faces substantial challenges, including differences in epistemology, regulatory standards, evidence hierarchies, and practitioner training. Limited clinical trials, quality assurance concerns, and issues related to intellectual property rights and biopiracy further complicate harmonization. Despite these barriers, the World Health Organization’s Traditional Medicine Strategy (2014–2023) and its newly established Global Centre for Traditional Medicine (India) underscore a growing international commitment to evidence-based integration. Opportunities lie in promoting collaborative research, strengthening regulatory frameworks, enhancing digital health platforms for TM documentation, and fostering intercultural dialogue between health systems. If guided ethically and scientifically, integration can improve access to care, reduce treatment costs, and offer personalized health solutions for chronic and lifestyle-related diseases. This review explored global integration models, evaluated emerging challenges, and identified strategies to support an inclusive, pluralistic, and sustainable healthcare future that respects both traditional wisdom and modern science.

Portal vein thrombosis (PVT) frequently occurs in patients with porto-sinusoidal vascular disease (PSVD), but its clinical characteristics and outcomes remain poorly understood. This study aimed to investigate the clinical features and outcomes of PVT in PSVD.

A total of 169 patients with PSVD confirmed by hepatic histology were included. PVT was diagnosed using contrast-enhanced magnetic resonance imaging or computed tomography. Demographic, clinical, and laboratory data, portal hypertension-related complications, comorbidities, and mortality were collected and compared between patients with and without PVT. The primary outcomes were baseline clinical characteristics and liver-transplantation-free mortality; the secondary outcome was the dynamic changes of PVT during follow-up.

At baseline, 45 (26.6%) PSVD patients had PVT. Compared to those without PVT, patients with PVT had significantly higher rates of esophageal variceal bleeding (62.2% vs. 29.0%), ascites (73.3% vs. 35.5%), antithrombin III deficiency (78.1% vs. 38.4%) (all p < 0.001), and a history of hematological disorders (11.1% vs. 0.8%, p = 0.005). After a median follow-up of 40.1 (23.4–62.3) months, liver-transplantation-free mortality rates were 7.9% (3/38) and 1.8% (2/112) in patients with and without PVT, respectively (log-rank p = 0.110). Among 41 patients followed for a median of 17.1 (7.4–39.3) months, PVT resolved in 9.1% (1/11) of those with baseline PVT and developed in 13.3% (4/30) of those without PVT at baseline. The one- and two-year cumulative incidence rates of PVT were 3.3% and 6.7%, respectively.

PSVD patients with PVT experience more portal hypertension-related complications, complex coagulation profiles, hematological disorders, and a higher risk of death compared to those without PVT.

Gastric cancer remains a significant global health burden, with limited therapeutic options and poor clinical outcomes. Although conventional treatments such as surgery and chemotherapy are widely used, their effectiveness is often hindered by adverse effects and high recurrence rates, highlighting the urgent need for safer and more effective alternatives. Scleromitrion diffusum (Willd.) (S. diffusum), a well-established anticancer herb in traditional Chinese medicine, has demonstrated promising clinical potential against gastric cancer. This review systematically examines the bioactive components of S. diffusum and their multi-target mechanisms of action against gastric cancer. Key active compounds, including flavonoids, anthraquinones, and terpenoids, have been identified as exerting synergistic anti-gastric cancer effects. These compounds collectively target critical pathways in gastric cancer pathogenesis, including apoptosis induction, suppression of proliferation and angiogenesis, and immune modulation. The mechanistic elucidation presented in this review not only validates the traditional use of S. diffusum in cancer management but also provides a molecular basis for its potential application in precision medicine strategies for gastric cancer. Beyond summarizing existing evidence, this work highlights critical gaps in current knowledge and proposes essential directions for future research, providing important references for integrating traditional medicine with modern oncology approaches.