Expression levels and clinical significance of 5‑HT and 5‑HT3R in the intestinal mucosa tissue of patients with diarrhea‑type irritable bowel syndrome (D‑IBS) were investigated. A retrospective analysis was performed on 46 tissue specimens (observation group) of the intestinal mucosa of patients with D‑IBS, who were diagnosed in the Tongde Hospital of Zhejiang Province and received colonoscopy from March 2016 to December 2017, and 18 tissue specimens (control group) of the intestinal mucosa of healthy subjects who received physical examinations. The expression levels of 5‑HT and 5‑HT3R in the intestinal mucosa tissue of patients in the observation and control group were detected by ELISA, and the relationship between 5‑HT, 5‑HT3R and the clinicopathological parameters of patients with D‑IBS was analyzed. Pearson's correlation analysis was used to analyze the correlation of 5‑HT and 5‑HT3R in the intestinal mucosa tissue of patients with D‑IBS. The expression levels of 5‑HT and 5‑HT3R in the intestinal mucosa tissue of patients in the observation group were significantly higher than those of the patients in the control group (344.86±67.52 ng/ml and 13.04±8.34 pg/ml) (P<0.001). There was a positive correlation between the expression level of 5‑HT and the expression level of 5‑HT3R in the intestinal mucosa tissue of patients with D‑IBS (r=0.725, P<0.001). The expression levels of 5‑HT and 5‑HT3R in the intestinal mucosa tissue of patients with D‑IBS were both significantly higher than those of the healthy subjects. The expression levels of 5‑HT and 5‑HT3R in patients with D‑IBS were correlated with age, sex and the history of gastrointestinal infection. 5‑HT and 5‑HT3R may be involved in the pathogenesis of D‑IBS, and potentially used for clinical treatment.

Significant challenges persist in the early identification of microsatellite instability (MSI) within current clinical practice. In recent years, with the growing utilization of machine learning (ML) in the diagnosis and management of gastric cancer (GC), numerous researchers have explored the effectiveness of ML methodologies in detecting MSI. Nevertheless, the predictive value of these approaches still lacks comprehensive evidence. Accordingly, this study was carried out to consolidate the accuracy of ML in the prompt detection of MSI in GC. PubMed, the Cochrane Library, the Web of Science, and Embase were retrieved up to March 20, 2024. The risk of bias in the encompassed studies was evaluated utilizing a risk assessment tool for predictive models. Models were then subjected to subgroup analysis based on the modeling variables. A total of 12 studies, encompassing 11,912 patients with GC, satisfied the predefined inclusion criteria. ML models established in these studies were primarily based on pathological images, clinical features, and radiomics. The results suggested that in the validation sets, the pathological image-based models had a synthesized c-index of 0.86 [95 % CI (0.83-0.89)], with sensitivity and specificity being 0.86 [95 % CI (0.76-0.92)] and 0.83 [95 % CI (0.78-0.87)], respectively; radiomics feature-based models achieved respective values of 0.87 [95 % CI (0.81-0.92)], 0.77 [95 % CI (0.70-0.83)] and 0.81 [95 % CI (0.74-0.87)]; radiomics feature-based models + clinical feature-based models achieved respective values of 0.87 [95 % CI (0.81-0.93)], 0.78 [95 % CI (0.70-0.84)] and 0.79 [95 % CI (0.69-0.86)]. ML has demonstrated optimal performance in detecting MSI in GC and could serve as a prospective early adjunctive detection tool for MSI in GC. Future research should contemplate minimally invasive or non-invasive, readily collectible, and efficient predictors to augment the predictive accuracy of ML.

Background: Chronic Obstructive Pulmonary Disease (COPD) currently ranks as the third leading cause of mortality worldwide, imposing substantial burdens on societal and individual health. Amongst health research tools, walking pace (WP) and hand grip strength (HGS) are cornerstones, extensively associated with diverse health conditions. However, the intricate interplay between these factors and COPD risk remains ambiguous. This study aims to elucidate the causal association of WP, HGS, with COPD risk through a bidirectional Mendelian randomization (MR) approach. Methods: Bidirectional MR analysis was performed using Genome-wide association study (GWAS) data of European individuals for WP, HGS, and COPD. Inverse Variance Weighted (IVW) served as the primary MR analysis approach. To supplement the IVW findings, four additional MR methods [MR-Egger, weighted median, maximum likelihood, simple median] were used. To assess heterogeneity and pleiotropy, sensitivity analyses were performed. In addition, multivariate MR (MVMR) analysis was used to assess causality after adjustment for potential confounders. Results: IVW method results show a significant negative association between WP and COPD risk in both initial (genome-wide threshold, odds ratio (OR) = 0.21, 95% confidence interval (CI) 0.09–0.51, P = 5.06 × 10^− 4) and secondary (locus-wide threshold, OR = 0.27, 95%CI: 0.18–0.41, P = 4.88 × 10^− 10) MR analysis. The reverse MR analysis suggested that COPD also diminishes WP. Additionally, a causal risk reduction for COPD with right HGS (OR = 0.74, 95% CI: 0.58–0.94, P = 1.44 × 10^− 2) was only found in secondary MR analysis. The outcomes of the four additional MR methods also suggested similar causal relationships, and sensitivity analyses endorsed their robustness. Lastly, the MVMR analysis demonstrated that the WP’s effect on reducing COPD risk persisted independently of potential confounding variables. Conclusion: A bidirectional causal relationship exists between typical WP and COPD risk. Conversely, a decrease in right HGS is unidirectionally associated with an increased risk of COPD. The study suggests that WP may serve as a predictive factor for COPD or as a simple evaluative indicator for prognosis.

Background: Inflammatory bowel disease (IBS) is a chronic disorder of the gastrointestinal tract. Exosomes have been involved in various pathological processes including IBS. Apigenin has been reported to suppress inflammatory bowel disease (IBS). However, the regulatory roles of exosomes derived from IBS patients (IBS-exos) on human colon epithelial cells are still unclear. Methods: Exosomes were collected from IBS patients (IBS-exos) and co-cultured with CACO-2 cells. Apigenin was used to treat IBS-exos-treated CACO-2 cells. By exploring the public data bank, we figured out the regulators control the autophagy of CACO-2 cells. Results: Administration of apigenin dose-dependently abolished the inhibitory effect of IBS-exo on the autophagy of CACO-2 cells. A mechanistic study showed that miR-148b-3p bound to 3′UTR to suppress ATG14 and decrease autophagy. Moreover, results suggested that ATG14 overexpression promoted the autophagy of CACO-2 cells in the presence of miR-148b-3p mimic. Conclusion: The current study showed that apigenin dose-dependently abolished the inhibitory effect of IBS-exo on CACO-2 cell autophagy by regulating miR-148b-3p/ATG14 signaling.

This study aimed to examine the association between the triglyceride-glucose (TyG) index and liver fibrosis (LF) in U.S. adults with Metabolic Dysfunction-Associated Steatotic Liver Disease (MAFLD). Using data from the 2017 to 2020 National Health and Nutrition Examination Survey (NHANES) database, we conducted a population-based cross-sectional study with 1,324 participants. MAFLD was defined as a controlled attenuation parameter (CAP) score ≥ 248 dB/m accompanied by metabolic dysfunction. A median liver stiffness measurement ≥ 8.2 kPa was used to identify significant fibrosis (≥ F2). Multivariable logistic regression was employed to assess the impact of the TyG index on LF outcomes. A restricted cubic spline (RCS) model was used to explore nonlinear effects, and receiver operating characteristic (ROC) curves were applied to evaluate the effectiveness in predicting. Among the participants, 716 were men and 608 were women, aged 20 to 80 years, representing various racial groups. Significant fibrosis was observed in 137 out of 1,324 participants. After adjusting for confounding factors, a higher TyG index was significantly associated with an increased incidence of MAFLD-related LF (OR = 2.18, 95% CI, 1.14–4.18; p < 0.05). Elevated TyG levels showed a positive correlation with significant fibrosis, with an odds ratio (OR) exceeding 1 when the TyG index was above 8.054. Subgroup analyses stratified by sex, age, and body mass index (BMI) revealed differences after adjusting for confounders. The association was stronger in women (OR = 2.53, 95% CI, 1.16–5.53) than in men (OR = 1.95, 95% CI, 0.81–4.72). A significant correlation was also found between TyG levels and obesity status (overweight: OR = 4.80, 95% CI, 1.27–18.2; obese: OR = 2.26, 95% CI, 1.20–5.53). In MAFLD patients aged 40–59, TyG was strongly associated with LF (OR = 2.85, 95% CI, 1.16–6.79). Furthermore, the area under the ROC curve (AUC) for the TyG index in predicting significant fibrosis in MAFLD patients was 0.73 (95% CI, 0.68–0.78), indicating moderate predictive ability. In the general U.S. population, elevated TyG index levels were positively associated with an increased risk of LF in MAFLD patients.

Background: Dahuang Mudan Decoction is commonly used in China for the treatment of acute pancreatitis. Nevertheless, the therapeutic efficacy of the drug remains a subject of debate, and its active ingredients and potential therapeutic targets remain to be determined. The present study used a network pharmacological approach to investigate the active ingredients and possible targets of the drug, and illustrated the clinical effectiveness of Dahuang Mudan Decoction in the treatment of acute pancreatitis by meta-analysis. Methods: The present study investigated the active ingredients of the constituent herbs of Dahuang Mudan Decoction using the TCMID database. In order to further identify molecular targets, Swiss Target Prediction, OMIM and Genecards databases was be used. The present study used metascape database for gene ontology function enrichment analysis and Kyoto Genome Encyclopedia pathway enrichment analysis. A gene interaction network diagram was established for predicting the main targets and mechanism of action to Dahuang Mudan Decoction for acute pancreatitis. To further illustrate the validity of the gene targets and the clinical efficacy of the drug, 13 relevant studies were included for meta-analysis and analyzed using the Cochrane Collaboration’s Review Manager 5.4 software. Result: After a thorough screening process, the present study identified three main components of Dahuang Mudan Decoction: kaempferol, quercetin and eupatin. These three major components have the potential to target 5 important proteins: AKT1, TNF-a, IL-6, TP53, HIF1A. In addition, pathway analyses by the Kyoto Genome Encyclopedia showed that Dahuang Mudan Decoction is active through the Pathways in cancer, AGE-RAGE signaling pathway in diabetic complications, PI3K-Akt signaling pathway, etc signaling pathway to act on acute pancreatitis. The results of meta-analysis showed that compared with the control group, the experimental group had superior performance in terms of overall treatment efficacy, reduction of hospital stays and inflammatory factor levels after treatment. Conclusion: In summary, network pharmacological studies have shown that Dahuang Mudan Decoction affects acute pancreatitis through different components, targets, and mechanisms. In addition, the meta-analysis study strongly supported the effectiveness of Dahuang Mudan Decoction in the treatment of acute pancreatitis.