Objective To investigate the effect of berberine and its mechanism in delaying silica-induced lung injury via network pharmacology and molecular docking, followed by verification with animal experiments. Methods i) Targets of berberine and silicosis were obtained from multiple databases, and the common targets were identified. A protein-protein interaction network was constructed using the STRING database, and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed on the common targets via the DAVID database. Molecular docking was conducted using AutoDock software for validation. ii) Specific pathogen-free Wistar rats were randomly divided into five groups, with six rats in each group. Rats in the model group, pirfenidone group, and low- and high-dose berberine groups received a single non-exposure intratracheal instillation of 1.00 mL silica suspension at a mass concentration of 100 g/L, whereas rats in the control group received an equal volume of 0.9% sodium chloride solution. Rats in the pirfenidone group were administered with pirfenidone solution at a dose of 100 mg/kg body weight, and rats in the low- and high-dose berberine groups were administered with berberine solutions at doses of 100 and 200 mg/kg body weight, respectively. The remaining two groups received equal volumes of 0.9% sodium chloride solution. All treatments were administered by gavage once daily for 28 consecutive days from 24 hours after silica exposure. After intervention, rats in each group were sacrificed. Histopathological changes in lung tissues were observed, and the lung organ coefficient was detected. Serum malondialdehyde (MDA) was detected by colorimetry. Serum inflammatory cytokine were detected by enzyme-linked immunosorbent assay. The expression of fibrosis markers in lung tissues was detected by immunohistochemistry. The protein expression of phosphatidylinositol 3-kinase (PI3K), protein kinase B (AKT), and phosphorylated AKT (p-AKT) in lung tissues was determined by Western blot. Results i) Network pharmacology analysis identified 46 potential targets. The core targets included AKT1, tumor protein p53, caspase-3, matrix metalloproteinase-9, and albumin. GO enrichment analysis revealed that the targets related to the anti-fibrotic effect of berberine against silicosis were mainly enriched in biological processes including signal transduction, negative regulation of apoptosis, extracellular matrix degradation, and response to reactive oxygen species. KEGG enrichment analysis showed that berberine exerted anti-silicosis effects through multiple signaling pathways, such as the PI3K/AKT pathway, hypoxia-inducible factor-1 pathway, and advanced glycation end product (AGE)-receptor for AGE pathway. ii) Histopathological examination revealed that rats in the model group presented typical pulmonary fibrotic lesions. Pathological lung injury of rats was alleviated in all three intervention groups (pirfenidone group, low- and high-dose berberine group) compared with the model group. The improvement in the high-dose berberine group was superior to that in the low-dose berberine group and was comparable with that in the pirfenidone group. rats in the model group showed increased lung organ coefficient, serum MDA, interleukin-1β (IL-1β), and tumor necrosis factor-α (TNF-α) (all P<0.05), as well as increased expression of typeⅠcollagen (COLⅠ), α-smooth muscle actin (α-SMA) and PI3K, and p-AKT/AKT ratio in lung tissues (all P<0.05) when compared with the control group. The above indicators were lower in rats in both the low- and high-dose berberine groups than those in the model group (all P<0.05). Serum MDA, IL-1β, and TNF-α, as well as relative expression of COLⅠ and α-SMA in lung tissues, were lower in the high-dose berberine group than in the low-dose berberine group (all P<0.05). Conclusion Berberine may alleviate pulmonary inflammation and fibrosis in rats through regulation of the PI3K/AKT signaling pathway, thereby delaying the progression of silicosis.

OBJECTIVE: To investigate the effect and mechanism of Shuangshi Tonglin Capsules (SSTL) in the treatment of prostate fibrosis (PF). METHODS: Human prostate stromal cells (WPMY-1) were used for in vitro experiments to establish PF cell models induced with estradiol (E₂). The cell proliferation, migration and clonogenic capacity were determined by cell counting kit-8, scratch assay, and crystal violet staining, respectively. Sprague-Dawley rats were used for in vivo experiments. The changes in histomorphology and organ index of rat prostate by SSTL were determined. Pathologic changes and collagen deposition changes in rat prostate were observed by haematoxylin and eosin (HE) and Masson staining. Enzyme-linked immunosorbent assay kits were used to determine changes in rat PF markers fibroblast growth factor-23 (FGF-23), E₂ and prostate specific antigen (PSA). Mechanistically, changes in oxidative stress indicators by SSTL were determined in WPMY-1 cells and PF rats. Then the expressions of nuclear factor erythroid 2-related factor 2 (Nrf2)/heme oxygenase-1 (HO-1) and transforming growth factor-β1 (TGF-β1)/Smad pathway-related proteins as well as Nrf2 and TGF-β1 mRNA were further detected by Western blot or quantitative real-time polymerase chain reaction both in vivo and in vitro. RESULTS: In the efficacy study, SSTL significantly reduced the proliferation, migration, and clonogenic ability of cells, improved the morphology of the glandular tissue, significantly reduced the prostate index, reduced glandular fibrous tissue and collagen deposition, and resulted in a significant decrease in the levels of FGF-23, E₂ and PSA (P<0.01 or P<0.05). In the mechanistic study, SSTL ameliorated oxidative stress by significantly increasing superoxide dismutase and glutathione peroxidase levels and decreasing malondialdehyde level in WPMY-1 cells and rats (P<0.01 or P<0.05). SSTL significantly elevated the expressions of Nrf2, HO-1, NAD(P)H quinone oxidoreductase 1 (NQO-1), and Smad7 proteins in both cells and rats, and significantly decreased the expressions of TGF-β1, collagen I, α-smooth muscle actin and Smad4 proteins (P<0.01 or P<0.05). SSTL also elevated the content of Nrf2 mRNA and decreased the content of TGF-β1 mRNA in cells and rats (P<0.01 or P<0.05). The Nrf2 inhibitor ML385 was added in in vitro experiments to further validate the pathway relevance. CONCLUSION SSTL was effective in improving PF in vivo and in vitro, and its mechanism of action may function through the Nrf2/TGF-β1 signaling pathway.
Male ; NF-E2-Related Factor 2/metabolism* ; Animals ; Drugs, Chinese Herbal/therapeutic use* ; Signal Transduction/drug effects* ; Transforming Growth Factor beta1/metabolism* ; Rats, Sprague-Dawley ; Humans ; Fibrosis ; Prostate/drug effects* ; Cell Proliferation/drug effects* ; Capsules ; Cell Movement/drug effects* ; Oxidative Stress/drug effects* ; Rats

ObjectiveTo explore the effects of genetic variation of obesity-related biological pathways and gene-obesity interactions on the incidence of gastric cancer, so as to better understand the pathogenesis of gastric cancer and help identify high-risk populations for individualized prevention of gastric cancer. MethodsA case-control study based on the Shanghai Suburban Adult Cohort and Biobank study (SSACB) was conducted on the cases with gastric cancer. A total of 267 cases with gastric cancer and 267 healthy controls matched 1∶1 by age and gender using propensity score were included in the study. After genome-wide genotyping, quality control and imputation, 19 250 single nucleotide polymorphism (SNP) sites from 115 genes in 4 obesity-related biological pathways were extracted. Univariate and multivariate logistic regression analyses were used to evaluate the association between these SNP sites and the risk of gastric cancer, and false positive report probability (FPRP) was used for multiple test correction.Data from Biobank Japan (BBJ) and FinnGen public accessible databases were used to validate significant SNP sites. For validated sites, expression quantitative trait loci (eQTL) analysis and differentially expressed genes analysis were further performed. Additive and multiplicative interactions were used to evaluate the gene-obesity interactions on the incidence of gastric cancer. Additive interaction evaluation indicators included relative excess risk due to interaction (RERI), attributable proportion due to interaction (AP) and synergy index (SI), while multiplicative interaction evaluation indicators include OR_GxE and P_inter. ResultsA total of 41 SNP sites were significantly associated with the onset of gastric cancer (P_adj<0.05, FPRP_0.1<0.1), among which 7 groups of haplotype blocks were formed. ACACB/ rs2268401 [SSACB: P=0.005, BBJ: P=0.049], HRAS/ rs12785860 (SSACB: P<0.001, FinnGen: P=0.045), and PTPN1/ rs6095985 (SSACB: P<0.001, FinnGen: P=0.023) were significantly associated with the risk of gastric cancer after validation in different populations. Among which, the G allele of HRAS/ rs12785860 was correlated with the downregulation of HRAS mRNA expression (P<0.001), and the expression level of HRAS in gastric cancer tissues was higher than that in adjacent normal tissues (P<0.001). Additionaly, JAK1/rs11208559 showed a positive additive interaction with waist circumstance (WC) on the risk of gastric cancer [RERI=2.29(0.06~4.53), AP=0.57(0.23~0.90), SI=4.03(2.20~5.87)]. ConclusionObesity-related biological pathway SNP sites and their haplotypes are associated with the risk of gastric cancer, suggesting that genetic variations in obesity pathways may affect gastric cancer. The HRAS/ rs12785860 is significantly associated with downregulation of HRAS gene expression, which may serve as a potential genetic marker for gastric cancer. JAK1/rs11208559 interacts with obesity additively on the risk of gastric cancer. Individuals with GC+CC genotypes and pre-central or central obesity have an increased risk of gastric cancer, providing clues and evidences for individualized prevention of gastric cancer.

Objective:To explore the construction of an evaluation model for aortic root anatomy and calcium burden in patients with bicuspid aortic valve (BAV) stenosis before transcatheter aortic valve replacement (TAVR) based on deep learning (DL) algorithms.Methods:A retrospective collection of 362 BAV stenosis patients who underwent TAVR from September 2023 to May 2024 was performed. All patients underwent cardiac CT angiography. The patients were divided into training group ( n=104), internal validation group ( n=206), and external validation group ( n=52). A DL model was trained on the training dataset to assess aortic root anatomy and calcification burden. The evaluation included the segmentation accuracy of the algorithm, the measurement performance of key anatomical structures (i.e., valve leaflets and type-1 and type-2 fusion raphe), and calcification burden, as well as the measurement efficiency. Overall segmentation performance was assessed using the average Dice coefficient (ADC). The fine-scale segmentation quality was validated by the 95th-percentile Hausdorff distance (HD-95) and the average symmetric surface distance (ASSD). The consistency of the measurement results was assessed using the Pearson correlation coefficient and the intraclass correlation coefficient ( ICC) with a two-way mixed model for absolute agreement. In addition, the total time and total mouse movement distance required for manual assessment versus the DL model on the validation datasets were recorded and compared. Results:The algorithm demonstrated excellent segmentation performance on aortic root anatomical targets, achieving outstanding consistency within both internal and external validation datasets (0.955

Objective:To investigate the diagnostic features of eosinophilic gastroenteritis (EGE) of the stomach and duodenum.Methods:A case-control study was conducted to retrospectively analyze 238 biopsy specimens of gastric and duodenal EGE (75 cases) and 133 biopsy specimens of chronic active gastroenteritis (97 cases) in Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China from 2012 to 2023. The eosinophil count, infiltration site and other pathological features (e.g., infiltration of neutrophils into the epithelium, edema, and increase of background lymphocytes and plasma cells) were examined under a microscope. Chi-square test, chi-square multiple comparison ( Bonferroni method) and modified Poisson regression were used to analyze the data. Results:The results showed that there were significant differences in eosinophil count ( χ2=43.926, P<0.01), location ( χ2=31.391, P<0.01), neutrophilic infiltration of the epithelium ( χ2=5.199, P=0.023), edema ( χ2=3.934, P=0.047), and lymphoplasmacytosis ( χ2=36.813, P<0.01) between the EGE and control cases. The results of Chi-square multiple comparisons showed that eosinophils distributed in clusters or sheets (versus other grades of eosinophil presence) were statistically associated with EGE. When eosinophils infiltrated the epithelium (versus eosinophils in other locations of the mucosa), there was a statistically significant association with EGE. Modified Poisson regression also showed that EGE was more likely to have eosinophilic infiltration of epithelium [ RR=1.661, P=0.001,95% CI (1.397,1.973)] and that of muscularis mucosa [ RR=1.818, P<0.01,95% CI (1.491,2.216)]. Conclusions:The important pathological features for diagnosing EGE of the stomach and duodenum are that eosinophils are clustered or distributed in sheets with epithelial infiltration. However, epithelial infiltration by neutrophils, edema and background lymphoplasmacytosis are relatively rare.

Objective:To explore the genetic etiology for a Chinese pedigree affected with X-linked cardiac valve dysplasia (CVDPX) and chronic idiopathic intestinal pseudo-obstruction (CIIPX).Methods:A pedigree presented at the First Hospital of Lanzhou University in June 2024 for CVDPX combined with CIIPX was selected as the study subject. Whole exome sequencing (Trio-WES) was carried out, and the candidate variant was verified by Sanger sequencing. This study has been approved by the Medical Ethics Committee of the First Hospital of Lanzhou University (Ethics No. LDYYSZLLKH2024-15).Results:Both the proband and his affected younger brother were found to harbor a hemizygous c. 443A>G (p.Tyr148Cys) variant of the FLNA gene, for which their mother was heterozygous and their father was not a carrier, suggesting an X-linked recessive inheritance pattern. The variant was not recorded by the OMIM and ClinVar databases, and was determined to be likely pathogenic (PM2+ PS4+ PP2+ PP3) based on the guidelines from the American College of Medical Genetics and Genomics (ACMG). The patients had presented with typical CVDPX/CIIPX phenotype, including multiple valve dysplasia and chronic pseudo intestinal obstruction, in addition with gallbladder wall edema and thickening. Bioinformatic analysis showed that the variant site is highly conserved, and multiple algorithms had predicted its pathogenicity. Conclusion:This study confirmed the diagnosis of CVDPX/CIIPX in a Chinese pedigree, expanded the phenotype spectrum of FLNA gene variants, and provided a basis for genetic counseling and prenatal diagnosis for the pedigree.

In recent years, the reform of the registration, evaluation, and approval system for traditional Chinese medicine(TCM) has been promoted at the national level, with establishment of an evaluation evidence system for TCM registration that combines TCM theory, human use experience, and clinical trials(known as the "three-combined" evaluation evidence system). This system, which aligns with the characteristics of TCM clinical practice and the laws of TCM research and development, recognizes the unique value of human use experience in medicine and returns to the essence of medicine as an applied science, thus receiving widespread recognition from both academia and industry. However, it meanwhile poses new and higher challenges. This article delves into the value and challenges faced by the "three-combined" evaluation evidence system from three perspectives: registration management, medical institutions, and the TCM industry. Furthermore, it discusses how the China Association of Chinese Medicine, leveraging its academic platform advantages and leading roles, has made exploratory and practical efforts to facilitate the research and development of new TCM drugs and the implementation of the "three-combined" evaluation evidence system.
Drugs, Chinese Herbal/standards* ; Humans ; Medicine, Chinese Traditional/standards* ; China ; Drug Development

Traditional Chinese medicine(TCM) decoction pieces are a core carrier for the inheritance and innovation of TCM, and their quality and safety are critical to public health and the sustainable development of the industry. Conventional quality control models, while having established a well-developed system through long-term practice, still face challenges such as relatively long inspection cycles, insufficient objectivity in characterizing complex traits, and urgent needs for improving the efficiency of integrating multidimensional quality information when confronted with the dual demands of large-scale production and precision quality control. With the rapid development of artificial intelligence, machine learning can deeply analyze multidimensional data of the morphology, spectroscopy, and chemical fingerprints of decoction pieces by constructing high-dimensional feature space analysis models, significantly improving the standardization level and decision-making efficiency of quality evaluation. This article reviews the research progress in the application of machine learning in the processing, production, and rapid quality evaluation of TCM decoction pieces. It further analyzes current challenges in technological implementation and proposes potential solutions, offering theoretical and technical references to advance the digital and intelligent transformation of the industry.
Machine Learning ; Drugs, Chinese Herbal/standards* ; Quality Control ; Medicine, Chinese Traditional/standards* ; Humans

In this study, serum metabolomics techniques and molecular biology methods were used to investigate the intervention effect of kaji-ichigoside F1 on chronic unpredictable mild stress(CUMS) depression mouse model and its mechanism. The CUMS depression mouse model was constructed, and the mice were divided into blank group, model group, escitalopram(ESC, 10 mg·kg~(-1)) group, and low-dose, medium-dose, and high-dose kaji-ichigoside F1 groups(1, 2, and 4 mg·kg~(-1)). CUMS modeling was performed on all mice except the blank group, and the cycle was four weeks. At the end of modelling, ESC and kaji-ichigoside F1 were administered by gavage once a day for 28 days. After the end of the administration, behavioral testing(sucrose preference test, open field test, forced swimming test, and tail suspension test) was conducted to evaluate the improvement of depression symptoms of different doses of kaji-ichigoside F1 on CUMS depression mouse model. The morphology of neurons and the number of Nissl bodies in the hippocampus were observed by Nissl staining. Metabolomics technique was used to analyze the changes in serum differential metabolites in mice. Protein expression levels of P2X7 purinergic receptor(P2X7R), adenosine A1 receptor(A1R), and adenosine receptor A2A(A2AR) in mouse hippocampus were detected by Western blot. The results showed that compared with that in the blank group, the body weight of mice in the model group was significantly decreased, and the sucrose preference rate was significantly decreased. The immobility time was significantly increased in the forced swimming and tail suspension tests, and the total moving distance was significantly decreased in the open field test. The number of Nissl bodies was significantly decreased, and the depression-like behavior and the number of Nissl bodies in the hippocampus of mice were significantly improved after administration of kaji-ichigoside F1. In the metabonomics analysis, the purine metabolism of serum after kaji-ichigoside F1 administration was involved in the metabolic passage of depression, and Western blot analysis verified the expression of P2X7R, A1R, and A2AR proteins in purine metabolic pathways. The results show that kaji-ichigoside F1 significantly decreases the expression of P2X7R and A2AR proteins in the hippocampus of CUMS model mice and increases the expression level of A1R proteins. It is suggested that kaji-ichigoside F1 may play an antidepressant role by regulating the expression of P2X7R, A1R, and A2AR proteins in the purine metabolism pathway.
Animals ; Mice ; Antidepressive Agents/administration & dosage* ; Metabolomics ; Depression/genetics* ; Male ; Drugs, Chinese Herbal/administration & dosage* ; Disease Models, Animal ; Hippocampus/metabolism* ; Behavior, Animal/drug effects* ; Humans