Primary biliary cholangitis (PBC) is a chronic progressive autoimmune disorder characterized by small non-purulent intrahepatic bile duct destruction (ductopenia) and cholestasis. While the etiology of PBC remains unclear, it is believed to involve genetic-environmental interactions. Emerging evidence highlights gut microbiota dysbiosis in PBC patients, with increased symbiotic bacteria and decreased pathogenic bacteria. Microbial alterations potentially influence disease pathogenesis through multiple mechanisms, including immune dysregulation, intestinal barrier damage, BA metabolic dysregulation, and cholestasis. These findings suggest that the gut microbiota can serve not only as a non-invasive biomarker for diagnosis and prognosis evaluation but also as a therapeutic target for the disease. In this review, we summarize changes in PBC patients’ gut microbiota, explain how these changes affect disease occurrence and development, and discuss treatment methods with potential clinical value that intervene in gut microbiota.

Blood oxygen level-dependent (BOLD) functional magnetic resonance imaging (fMRI) is essential for non-invasively investigating brain function. However, conventional fMRI methods are limited by low spatial and temporal resolution. This narrative review evaluates recent advancements in deep learning techniques for high-resolution BOLD-fMRI reconstruction, focusing on super-resolution, segmentation, and image registration. A comprehensive literature search was conducted across PubMed, IEEE, Scopus, and Web of Science databases for the period 2000–2023. Studies employing deep learning methods, including convolutional neural networks, transformer-based models, and generative adversarial networks for super-resolution, segmentation, and registration of BOLD-fMRI, were included. Deep learning approaches demonstrated significant improvements in spatial resolution, segmentation accuracy, and registration robustness. Convolutional neural network-based models, particularly generative adversarial networks, notably improved image reconstruction quality and detail preservation. Preliminary studies targeting specific brain regions such as the cerebellum and hippocampus showed promise; however, systematic evaluations across broader brain areas and large-scale clinical validations remain limited. While deep learning techniques have led to substantial advancements in high-resolution BOLD-fMRI reconstruction, future research should focus on standardized protocols, multi-center validation, and improving computational efficiency and model generalization to enhance clinical utility.

The tumor microenvironment (TME) consists of a complex mix of cellular and non-cellular components, including immune cells, stromal cells, extracellular matrix, cytokines, and growth factors. These elements interact with tumor cells to influence tumorigenesis, growth, invasion, and metastasis. Long noncoding RNAs (lncRNAs)—a class of non-coding RNAs longer than 200 nucleotides—have attracted considerable attention for their roles in regulating gene expression at the epigenetic, transcriptional, and post-transcriptional levels. Emerging evidence suggests that lncRNAs are crucial in shaping the TME by modulating processes such as immune evasion, angiogenesis, metabolic reprogramming, and the maintenance of cancer stem cells. This review provides an overview of the current understanding of lncRNAs in the TME, focusing on their involvement in key signaling pathways and cellular interactions that drive tumor progression. We discussed how lncRNAs contribute to extracellular matrix remodeling, facilitate communication between tumor and stromal cells, and regulate immune cell infiltration and function within the TME. Additionally, we explore the potential of lncRNAs as biomarkers for early cancer detection and prognosis, as well as their promise as therapeutic targets to disrupt tumor-microenvironment crosstalk. The review also addresses challenges in targeting lncRNAs therapeutically, such as ensuring specificity, minimizing off-target effects, and achieving effective in vivo delivery of lncRNA-targeted therapies. Strategies to overcome these challenges include the development of highly specific lncRNA knockout technologies and the use of advanced delivery systems, such as nanoparticles and viral vectors, to precisely target tumor-associated cells. Overall, this review underscores the significant role of lncRNAs in the TME and their potential as novel tools for enhancing cancer diagnosis and treatment. By elucidating the multifaceted roles of lncRNAs in the TME, we aimed to provide insights that could lead to more effective, targeted therapeutic strategies, ultimately advancing cancer research and improving patient care.

Insulinoma is a neuroendocrine tumor originating in the pancreas that secretes excess amounts of insulin, leading to severe hypoglycemia. The clinical presentation of hypoglycemia is classically described by Whipple’s Triad. Due to the rarity of this diagnosis, it can often be mistaken for other etiologies with similar presentations. In this paper, we present the case of a woman in her 70s with metastatic insulinoma involving the liver, who was initially diagnosed with an insulin-like growth factor 2-secreting hepatocellular carcinoma. Biochemical and immunohistochemical analyses were instrumental in distinguishing between these two etiologies.

Large-scale data on the hepatitis D virus (HDV)/hepatitis B virus (HBV) co-infection rate is needed to estimate the current epidemiology of HDV in China. This study aimed to estimate the current epidemiology of HDV.

Patients with chronic HBV infection, with documented serum hepatitis B surface antigen (HBsAg) positivity for more than six months, were enrolled across China. Blood samples were collected at baseline for central evaluations of HDV antibody and HBsAg quantification. Assessments for antibodies of hepatitis A virus, hepatitis C virus, hepatitis E virus, and human immunodeficiency virus, as well as HDV RNA quantification, were performed in patients who tested positive for HDV antibodies.

Of the 5,044 enrolled patients between September 24, 2021, and December 28, 2022, 4,936 patients were included in the analysis. The mean age (±standard deviation) was 42.9 ± 9.9 years, and 69.8% of patients were male. The mean alanine aminotransferase level was 34 ± 58 U/L, and 1,509 (30.6%) patients were hepatitis B e antigen-positive. The mean (standard deviation) HBsAg level at baseline was 3,535 ± 11,292 IU/mL among 4,842 patients who were HBsAg positive. The rate of HBV infection and HDV antibody positivity was 0.24% (95% confidence interval: 0.1–0.4%), and only one patient was HDV RNA positive.

The prevalence of HDV antibody positivity was 0.24% in Chinese patients with chronic HBV infection, and only one patient with both anti-HDV antibody and HDV RNA positivity was observed in this study.

Prostate cancer (PCa) often manifests insidiously, with most patients being diagnosed at an advanced stage, leading to a poor prognosis. Early detection of PCa can significantly prolong overall survival by impeding the progression of metastasis. A commonly utilized screening method for detecting PCa is the prostate-specific antigen test. However, since the prostate-specific antigen lacks specificity and sensitivity for PCa identification, there is a paramount urgency to develop precise diagnostic biomarkers for early detection. Extracellular vesicles, known as exosomes, are released by cells into body fluids. Exosomes derived from cancer cells can carry genetic information about the tumor, including DNA, RNA, and proteins, which play crucial roles in tumor initiation, invasion, metastasis, and drug resistance. Studies have indicated that exosomes (including messenger RNAs, microRNAs, long noncoding RNAs and others) can enhance the sensitivity and specificity of PCa diagnosis, indicating their potential for early detection. This review highlights the biological characteristics and functions of exosomes, as well as recent advancements in their use for the diagnosis, prognosis, and treatment of prostate cancer.

Heme oxygenase 1 (HO-1) has an influential yet insufficiently investigated effect on Sirtuin 1 (SIRT1), a histone deacetylase activated by nicotinamide adenine dinucleotide, which may impact the transforming growth factor-β (TGF-ß)/Smad3 pathway in nonalcoholic fatty liver disease (NAFLD)-related liver fibrosis. This study aimed to elucidate the regulation of NAFLD-related liver fibrosis induced by HO-1 through the SIRT1/TGF-ß/Smad3 pathway.

HO-1 induction and inhibition were established in C57BL/6J mice fed a methionine- and choline-deficient (MCD) diet. Additionally, wild-type mice were fed either a normal diet or an MCD diet. Hematoxylin and eosin, Masson’s trichrome, and Sirius Red staining were used to assess hepatic steatosis, inflammation, and fibrosis. In vitro, plasmid overexpression and small interfering RNA silencing of HO-1 were performed in LX-2 cells. Cell viability was assessed using the Cell Counting Kit-8, and apoptosis was evaluated via terminal deoxynucleotidyl transferase dUTP nick-end labeling and immunofluorescence. Flow cytometry was employed to assess apoptosis and reactive oxygen species production. Western blot and real-time quantitative reverse transcription polymerase chain reaction were used to analyze the mRNA and protein expression of genes related to HO-1, SIRT1, the TGF-ß signaling pathway, and fibrosis.

MCD-fed mice developed significant liver damage, including steatosis, inflammatory infiltration, and pericellular fibrosis. Zinc protoporphyrin treatment exacerbated these conditions. Corroborating these findings, silencing HO-1 in LX-2 cells increased the expression of fibrosis-related genes. Furthermore, HO-1 overexpression not only increased SIRT1 expression but also reduced the activity of key regulatory factors in the TGF-ß signaling pathway, suggesting a potential interaction between HO-1 and the SIRT1/TGF-ß pathway.

HO-1 inhibits the activation of the TGF-ß/Smad3 pathway in NAFLD-related liver fibrosis through SIRT1. These findings provide insights into new therapeutic strategies for treating NAFLD-associated liver fibrosis.

Traditional Chinese medicine (TCM) is widely used in cancer care in China as an integral part of treatment. This study aimed to understand the motivations of cancer patients in China for adopting TCM in their treatment and to examine their communication with oncologists. Gaining insights into these factors can enhance culturally sensitive, patient-centered oncology care.

A consecutive sample of 287 outpatients with cancer was recruited. Sociodemographic and clinical data, TCM usage, primary reasons for adopting TCM, and communication about TCM with oncologists were collected. Descriptive statistics, binary logistic regression, and thematic analysis were used to analyze the data.

Patients’ primary reasons for choosing TCM fell into five main categories: (1) belief in the benefits of TCM itself, (2) recommendations from others (family, friends, or oncologists), (3) belief in the benefits of combining TCM with Western medicine (WM), (4) previous positive experiences with TCM, and (5) dissatisfaction with or intolerance to WM. Among the 103 patients who consulted external TCM providers, 65% disclosed this to their oncologists. A longer time since diagnosis was associated with a higher likelihood of disclosure, while employed patients were less likely to inform their oncologists. Oncologists’ responses varied, with 55% neither approving nor disapproving of external TCM prescriptions.

The primary reasons for TCM use were perceived benefits and recommendations from oncologists and family members. However, communication about TCM with oncologists remains inconsistent. Enhancing patient-provider communication through education and fostering the integration of TCM and WM can improve holistic cancer care.

Hepatocellular carcinoma (HCC) remains challenging to treat in advanced stages, primarily due to the development of resistance to sorafenib. There is an urgent need for novel therapeutic strategies to overcome this resistance. This study aimed to investigate the potential of oleanolic acid (OA), a natural hepatoprotective compound, in mitigating sorafenib resistance and elucidate its underlying molecular mechanisms.

Sorafenib-resistant Huh7 and HepG2 cell lines were established to mimic the resistant phenotype. The effects of OA on these cells were evaluated by assessing cell invasion, migration, and sensitivity to sorafenib. Gene expression analysis was conducted to identify molecular changes induced by OA treatment, with a focus on fabp3 expression.

Oleanolic acid significantly inhibited the invasive and migratory capabilities of sorafenib-resistant Huh7 and HepG2 cells (p < 0.01). Furthermore, OA treatment downregulated fabp3 expression and restored the cells’ sensitivity to sorafenib.

Oleanolic acid shows promise as an adjunct therapy for overcoming sorafenib resistance in HCC. By reducing cell aggressiveness and restoring drug sensitivity, OA may enhance the therapeutic efficacy of current treatments for advanced HCC.