OBJECTIVES: To investigate the mechanism by which transforming growth factor‑β (TGF‑β) regulates major histocompatibility complex class I (MHC-I) expression in hepatocellular carcinoma (HCC) cells and its role in immune evasion of HCC. METHODS: HCC cells treated with TGF‑β alone or in combination with SB-431542 (a TGF-β type I receptor inhibitor) were examined for changes in MHC-I expression using RT-qPCR and Western blotting. A RNA interference experiment was used to explore the role of miR-23a-3p/IRF1 signaling in TGF‑β‑mediated regulation of MHC-I. HCC cells with different treatments were co-cultured with human peripheral blood mononuclear cells (PBMCs), and the changes in HCC cell proliferation was assessed using CCK-8 and colony formation assays. T-cell cytotoxicity in the co-culture systems was assessed with lactate dehydrogenase (LDH) release and JC-1 mitochondrial membrane potential assays, and T-cell activation was evaluated by flow cytometric analysis of CD69 cells and ELISA for TNF-α secretion. RESULTS: TGF‑β treatment significantly suppressed MHC-I expression in HCC cells and reduced T-cell activation, leading to increased tumor cell proliferation and decreased HCC cell death in the co-culture systems. Mechanistically, TGF-β upregulated miR-23a-3p, which directly targeted IRF1 to inhibit MHC-I transcription. Overexpression of miR-23a-3p phenocopied TGF‑β‑induced suppression of IRF1 and MHC-I. CONCLUSIONS We reveal a novel immune escape mechanism of HCC, in which TGF‑β attenuates T cell-mediated antitumor immunity by suppressing MHC-I expression through the miR-23a-3p/IRF1 signaling axis.
Humans ; MicroRNAs/genetics* ; Carcinoma, Hepatocellular/metabolism* ; Liver Neoplasms/metabolism* ; Interferon Regulatory Factor-1/metabolism* ; Transforming Growth Factor beta/metabolism* ; Signal Transduction ; Histocompatibility Antigens Class I/metabolism* ; Cell Line, Tumor ; Tumor Escape ; Coculture Techniques

Objective To develop a risk prediction model for ischemic stroke in symptomatic intracranial atherosclerotic stenosis(ICAS)patients based on high-resolution magnetic resonance imaging(HR-MRI)and arterial spin labeling(ASL)imaging.Methods A total of 142 patients were included and divided into acute ischemic stroke(AIS)and transient ischemic attack(TIA)groups based on stroke occurrence.Clinical risk factors,plaque characteristics,and arterial transit artifact(ATA)presence on ASL images were compared between the two groups.Multivariate logistic regression analysis was performed,incorporating clinical risk factors,plaque characteristics,and double post labeling delay(PLD)ATA presence.The predictive value of different models was compared using receiver operating characteristic(ROC)curve and DeLong tests.Results Hypertension,positive lumen remodeling,plaque enhance-ment rate,1.5 s-ATA presence,and 2.5 s-ATA presence were independent risk factors for AIS(P＜0.05).The combination of HR-MRI and ASL imaging predicted AIS most effectively[area under the curve(AUC)=0.908;95％ confidence interval(CI)0.862-0.954].No significant difference was found between the prediction performances of HR-MRI and ASL(95％CI-0.041-0.082,Z=0.659,P=0.509).Conclusion ASL is more convenient than HR-MRI for predicting ischemic stroke in ICAS patients.A model combining plaque characteristics and ATA presence effectively predicts AIS occurrence.

Postoperative acute pain can significantly hinder early postoperative recovery if inadequately managed,and may even progress to chronic postsurgical pain(CPSP).The current clinical practice primarily relies on multimodal analgesia strategies,with intravenous opioids being the cornerstone.Although effective in alleviating postoperative pain,the associated adverse effects of opioids have limited their widespread use.In recent years,with the development of integrative medicine combining Western and traditional Chinese medicine,numerous studies have demonstrated that incorporating transcutaneous electrical acupoint stimulation(TEAS)into multimodal analgesia protocols confers significant benefits for postoperative pain management.TEAS not only reduces postoperative pain and opioid consumption but also mitigates opioid-related side effects,thereby facilitating patient recovery.This review aims to provide a comprehensive overview of the analgesic mechanisms of TEAS,its application within multimodal analgesia for postoperative pain,and its potential to serve as a valuable reference for clinicians seeking to optimize postoperative pain management strategies.

Traditional Chinese medicine(TCM)serves as a treasure trove of ancient knowledge,holding a crucial position in the medical field.However,the exploration of TCM's extensive information has been hindered by challenges related to data standardization,completeness,and accuracy,primarily due to the decen-tralized distribution of TCM resources.To address these issues,we developed a platform for TCM knowledge discovery(TCMKD,https://cbcb.cdutcm.edu.cn/TCMKD/).Seven types of data,including syndromes,formulas,Chinese patent drugs(CPDs),Chinese medicinal materials(CMMs),ingredients,targets,and diseases,were manually proofread and consolidated within TCMKD.To strengthen the integration of TCM with modern medicine,TCMKD employs analytical methods such as TCM data mining,enrichment analysis,and network localization and separation.These tools help elucidate the molecular-level commonalities between TCM and contemporary scientific insights.In addition to its analytical capabilities,a quick question and answer(Q&A)system is also embedded within TCMKD to query the database efficiently,thereby improving the interactivity of the platform.The platform also provides a TCM text annotation tool,offering a simple and efficient method for TCM text mining.Overall,TCMKD not only has the potential to become a pivotal repository for TCM,delving into the pharmaco-logical foundations of TCM treatments,but its flexible embedded tools and algorithms can also be applied to the study of other traditional medical systems,extending beyond just TCM.

OBJECTIVE To investigate the improvement effects of total flavonoids from Bidens pilosa （TFB）against Alzheimer’s disease （AD） and elucidate its potential mechanism. METHODS The network pharmacology was adopted to explore active constituents and core targets of TFB for AD， followed by gene ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analyses. Based on the results of network pharmacology， an AD model was induced in male BALB/c mice by D-galactose subcutaneous injection and aluminum chloride gavage. The effects of TFB on behavioral indicators （including escape latency， the number of platform crossings， and the proportion of dwell time spent in the original platform quadrant）， as well as on acetylcholinesterase （AChE）， acetylcholine （ACh）， choline acetyltransferase （ChAT）， amyloid β-protein （Aβ）， phosphorylated Tau protein （p-Tau）， and inflammatory factors [interleukin-1β （IL-1β）， IL-6， and tumor necrosis factor-α （TNF-α）] were investigated. Additionally， its effects on the pathological changes in hippocampal neurons， as well as the expressions of related proteins and mRNAs were evaluated. RESULTS Network pharmacology revealed 6 active components in TFB （e.g. luteolin， quercetin， kaempferol） and 165 overlapping targets with AD， including 29 core targets （Akt1， TP53， etc.）. The common targets were primarily enriched in biological processes such as positive regulation of gene expression and negative regulation of apoptotic processes， molecular functions including enzyme binding and identical protein binding， cellular components like extracellular space， plasma membrane and receptor complex， as well as signaling pathways such as cancer pathways and phosphoinositide 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway. The results of animal experiments showed that， compared with model group， the pathological changes such as disordered arrangement， degeneration， and necrosis of neurons in the hippocampal CA3 region of mice in administration groups were alleviated. The escape latency （except for the low-dose TFB group）， the contents of AChE （except for the low-dose TFB group）， Aβ40， Aβ42 （except for the low-dose TFB group）， p-Tau （except for the low- and medium-dose TFB groups）， IL-1β， IL-6 （except for the low-dose TFB group）， and TNF- α in brain tissue， as well as the expressions of Bax and caspase-3 mRNA， were all significantly shortened/reduced/down-regulated. Conversely， the number of platform crossings， the proportion of dwell time spent in the original platform quadrant， the contents of ChAT and ACh， the phosphorylation levels of PI3K and Akt， and the mRNA expressions of PI3K， Akt and Bcl-2 （except for PI3K mRNA and Akt mRNA in the low- and medium-dose TFB groups， and Bcl-2 mRNA in the low-dose TFB group） were all significantly increased （P＜0.05 or P＜0.01）. CONCLUSIONS TFB can exert anti-AD effect through multiple components， multiple targets， and multiple pathways. Its underlying mechanisms may be related to the activation of the PI3K/Akt signaling pathway， improvement of the cholinergic system， reduction of Aβ deposition and Tau protein hyperphosphorylation， as well as inhibition of neuroinflammatory responses and neuronal apoptosis.

Traditional Chinese medicine (TCM) serves as a treasure trove of ancient knowledge, holding a crucial position in the medical field. However, the exploration of TCM's extensive information has been hindered by challenges related to data standardization, completeness, and accuracy, primarily due to the decentralized distribution of TCM resources. To address these issues, we developed a platform for TCM knowledge discovery (TCMKD, https://cbcb.cdutcm.edu.cn/TCMKD/). Seven types of data, including syndromes, formulas, Chinese patent drugs (CPDs), Chinese medicinal materials (CMMs), ingredients, targets, and diseases, were manually proofread and consolidated within TCMKD. To strengthen the integration of TCM with modern medicine, TCMKD employs analytical methods such as TCM data mining, enrichment analysis, and network localization and separation. These tools help elucidate the molecular-level commonalities between TCM and contemporary scientific insights. In addition to its analytical capabilities, a quick question and answer (Q&A) system is also embedded within TCMKD to query the database efficiently, thereby improving the interactivity of the platform. The platform also provides a TCM text annotation tool, offering a simple and efficient method for TCM text mining. Overall, TCMKD not only has the potential to become a pivotal repository for TCM, delving into the pharmacological foundations of TCM treatments, but its flexible embedded tools and algorithms can also be applied to the study of other traditional medical systems, extending beyond just TCM.

Objective:To investigate transition pattern of health status among middle-aged and elderly population in China based on frailty index.Methods:In this retrospective cohort study, middle-aged and elderly people were selected from the China Health and Retirement Longitudinal Study (CHARLS) in 2011; and 1 434 subjects were followed up to 2015. The frailty index was calculated from the prevalence of chronic diseases, daily activity ability and blood biomarkers, and the frailty state was divided by quartiles of the frailty index. Markov models were constructed to determine the transition probabilities of different frailty states.Results:The mean age of the 1 434 subjects was (59.0±9.4) years and the mean frailty index was 0.11±0.05. In the healthy individuals, 63.0% remained healthy after a four-year follow-up; during the same follow-up period, 40.9% of the mildly frail individuals and 23.0% of the moderately frail individuals remained in their baseline frailty status. Increasing age leaded to a gradual increase in the probability of the population shifting to a severely frailty state. Women were more likely to shift to severe frailty status than men (0.029 vs 0.019, Z=3.03, P=0.002). Conclusion:Among middle-aged and elderly population in China, the transition of health states follows a pattern where higher frailty levels are associated with lower stability. Advanced age and female gender are identified as risk factors for progression to severe frailty.

Objective:To evaluate the diagnostic performance of fecal calprotectin (FC) in predicting endoscopic activity of ulcerative colitis (UC), and to compare it with high-sensitivity C reactive protein (hsCRP) and erythrocyte sedimentation rate (ESR) .Methods:A cross-sectional stydy was conducted. UC patients diagnosed at Peking Union Medical College Hospital between May 2023 and July 2025 were retrospective enrolled. Patients were divided into the endoscopically active group and endoscopic remission group according to endoscopic activity. FC levels were measured using latex-enhanced turbidimetric immunoassay (LETIA). Receiver operating characteristic (ROC) curves and logistic regression models were used to assess diagnostic efficacy. Subgroup analyses were conducted according to disease extent.Results:A total of 166 UC patients were enrolled, including 92 males and 74 females with the age of 40.00 (32.00, 52.00) years old and disease course 5.00 (2.00, 10.75) years. Forty-six patients were assigned to the active group, while the remaining 120 were assigned to the remission group. FC levels were significantly higher in the active group than in the remission group (620.72 μg/g vs. 29.00 μg/g, P < 0.001), with an AUC of 0.894 at a cutoff value of 122.54 μg/g. hsCRP and ESR had lower AUC (0.712 and 0.736, respectively). The combination of FC, hsCRP, and ESR slightly improved specificity (AUC 0.898). FC was strongly correlated with the endoscopic activity ( r =0.669, P < 0.001) but not with disease extent. Conclusions:FC measured by latex-enhanced turbidimetric immunoassay had comparable diagnostic accuracy to ELISA-based methods commonly used abroad, and provided a reference cutoff value of 122.54 μg/g. FC outperforms hsCRP and ESR in assessing intestinal inflammation in UC and it is less affected by disease extent, making it a reliable non-invasive biomarker for UC monitoring.

Objective:To evaluate the predictive efficacy of fecal calprotectin (FC) for endoscopic activity in patients with Crohn's disease (CD) .Methods:A cross-sectional study was conducted and patients diagnosed as CD at Peking Union Medical College Hospital from June 2023 to September 2025 were enrolled consecutively. Data was collected including general information, laboratory tests [hemoglobin (HGB), platelet (PLT), FC, high-sensitivity C-reactive protein (hsCRP), erythrocyte sedimentation rate (ESR) and so on], and endoscopic results. FC levels were measured by latex-enhanced turbidimetric immunoassay (LETIA). Endoscopic activity was defined as the simplified endoscopic score for Crohn's disease (SES-CD) > 2. Patients were divided into the endoscopically active group and endoscopic remission group according to endoscopic activity, and the differences in clinical data between the two groups were compared. Spearman correlation analysis was used to assess the correlation between FC and endoscopic activity, and receiver operating characteristic (ROC) curve was used to evaluate the predictive efficacy of FC, hsCRP and ESR for endoscopic activity, and the differences were compared.Results:A total of 90 CD patients were enrolled, including 65 males and 25 females with the age of 30 (22, 41) years old and disease course 4.0 (0.5, 8.0) years. Seventy-one patients (78.9%) had ileocolonic disease involvement (L3), and 55 patients (61.1%) were using biologics. Sixty-nine patients in endoscopic active phase were assigned to the endoscopically active group, while the remaining 21 were assigned to the endoscopic remission group. There were no statistically significant differences in general characteristics such as age and gender between the two groups (all P > 0.05). Compared with endoscopic remission group, HGB was significantly lower in the endoscopically active group, while PLT, hsCRP, ESR, and FC were moderataly higher (all P < 0.05). Among the 90 CD patients, FC levels were moderatly correlated with endoscopic activity (ρ = 0.494). ROC curve analysis indicated that the area under the curve for FC in predicting endoscopic activity was 0.836 (95% CI: 0.737-0.935), with a sensitivity of 0.725, specificity of 0.952, and accuracy of 0.778 at the optimal FC cutoff value of 153.8 μg/g. FC outperformed hsCRP and ESR. Conclusion:FC measured by LETIA demonstrates certain efficacy in predicting endoscopic activity in CD and will assist in efficient clinical monitoring of CD patients.

Akkermansia muciniphila, a probiotic is discovered years earlier, colonizes the human intestinal mucosa. In recent years, researchers have found the correlation between Akkermansia muciniphila and progression of kidney diseases based on the theory of the gut-kidney axis. The abundance of Akkermansia muciniphila in the gut changes during the onset, regression and treatment of renal diseases such as congenital nephrology, chronic kidney disease, complications after renal transplantation. The research on the correlation between Akkermansia muciniphila and renal diseases is still in the initial stage. The review introduces the research progress on the role of Akkermansia muciniphila in renal diseases from three aspects: the biological characteristics of Akkermansia muciniphila, the abundance change in the progression of renal diseases, and their biological effects to provide references for the following research on the mechanisms of Akkermansia muciniphila in renal diseases and the application of clinical renal disease treatment.