OBJECTIVES: To explore the mechanism of Circ-MYOCD back-splicing and its regulatory role in myocardial hypertrophy. METHODS: Sanger sequencing and RNase R assays were performed to verify the circularity and stability of Circ-MYOCD, whose subcellular distribution was determined by nuclear-cytoplasmic fractionation. Bioinformatics analysis and mass spectrometry from pull-down assays were conducted to predict the RNA-binding proteins (RBPs) interacting with Circ-MYOCD. In rat cardiomyocytes H9C2 cells, the effects of HNRNPH1 and HNRNPL knockdown and overexpression on Circ-MYOCD back-splicing were evaluated. In a H9C2 cell model of angiotensin II (Ang II)-induced myocardial hypertrophy, the expression of HNRNPH1 was detected, the effects of HNRNPH1 knockdown and overexpression on progression of myocardial hypertrophy were assessed, and the regulatory effect of HNRNPH1 on Circ-MYOCD back-splicing was analyzed. RESULTS: Sanger sequencing confirmed that the junction primers could amplify the correct Circ-MYOCD sequence. RNase R and nuclear-cytoplasmic fractionation assays showed that Circ-MYOCD was stable and predominantly localized in the cytoplasm. Bioinformatics analysis and mass spectrometry from the Circ-MYOCD pull-down assay identified HNRNPH1 and HNRNPL as the RBPs interacting with Circ-MYOCD. In H9C2 cells, HNRNPH1 knockdown significantly enhanced while its overexpression inhibited Circ-MYOCD back-splicing; HNRNPH1 overexpression obviously increased the expressions of myocardial hypertrophy markers ANP and BNP, while its knockdown produced the opposite effect. In Ang II-induced H9C2 cells, which exhibited a significant increase of HNRNPH1 expression and increased expressions of ANP and BNP, HNRNPH1 knockdown obviously increased Circ-MYOCD expression, decreased MYOCD expression and lowered both ANP and BNP expressions. CONCLUSIONS HNRNPH1 regulates Circ-MYOCD back-splicing to influence the progression of myocardial hypertrophy.
Animals ; Rats ; RNA, Circular/genetics* ; Cardiomegaly/metabolism* ; Myocytes, Cardiac/metabolism* ; Heterogeneous-Nuclear Ribonucleoprotein Group F-H/metabolism* ; Cell Line ; RNA Splicing ; Angiotensin II ; RNA-Binding Proteins

OBJECTIVES: To assess the efficacy and safety of Tiaozhou Ziyin (TZZY) recipe for treatment of premature ovarian insufficiency (POI) and explore the possible mechanisms. METHODS: We used bioinformatics analyses and network pharmacology to identify the main active ingredients in TZZY recipe and their core targets, which were verified by Western blotting. We tested the efficacy and safety of the recipe in 60 POI patients, who were randomized into control group (n=30) with Femoston treatment and TZZY group (n=30) with additional TZZY recipe treatment for 3 menstrual cycles. RESULTS: The core active ingredients of TZZY recipe included kaempferol, β-sitosterol, luteolin, and quercetin. The core targets included SRC, TP53, STAT3, PIK3CA, and MAPK3, which were involved in positive regulation of cell movement and protein phosphorylation, the cancer pathways and the PI3K-Akt signaling pathway. Molecular docking showed that the core active ingredients had good binding ability with the core targets. In female rat models of POI, TZZY recipe treatment significantly up-regulated ovarian expressions of p-PI3K and p-Akt proteins. In the clinical trial, treatment with Femoston and Femoston plus TZZY recipe both significantly increased E₂ levels and reduced FSH and LH levels and Kupperman scores of the patients, and the combined treatment produced significantly stronger effects. Both treatments increased the number of antral follicles of the patients, but the combined treatment also significantly increased the levels of AMH. CONCLUSIONS The therapeutic mechanism of TZZY recipe for POI involves multiple active ingredients, multiple therapeutic targets and multiple pathways, and activating the PI3K /Akt pathway is one of its main mechanisms of action, to improve ovarian reserve function, alleviate clinical symptoms, and enhance clinical efficacy in POI patients.
Female ; Primary Ovarian Insufficiency/drug therapy* ; Humans ; Drugs, Chinese Herbal/therapeutic use* ; Animals ; Rats ; Molecular Docking Simulation ; Signal Transduction ; Sitosterols/therapeutic use* ; Kaempferols/therapeutic use*

Objective To investigate the current situation of off-label use of immune checkpoint inhibitors(ICIs)in China and the cognition of medical staff.Methods From August 31 to September 9,2022,a nationwide survey questionnaire was sent to medical staff in the form of electronic questionnaire.The questionnaire included 13 questions,covering four dimensions:Drug allocation,current situation of medication beyond the instructions,cognition of medication beyond the instructions and current situation of medication beyond the instructions.Results A total of 745 questionnaires were collected.75.70％of respondents reported off-label use of ICIs in their hospitals,with the most common type being off-label indications.The primary reasons for such practices included support from authoritative domestic and international guidelines,clinical research data validation,and approved indications in foreign regulatory documents.85.37％of respondents believed off-label use could offer new hope for patients,while 68.86％considered it unlikely to increase adverse reactions.44.97％of respondents' hospitals had not established off-label use registration systems for ICIs.88.86％of respondents emphasized the need for stricter regulations governing off-label use of immunotherapeutic agents.Conclusion Off-label use of ICIs is common,and there is a lack of unified guidance in clinical practice.It is urgent to form norms and consensus on the management of off-label use of ICIs.

Objective:To evaluate the risk of developing pulmonary tuberculosis (PTB) among individuals with latent tuberculosis infection (LTBI) in schools and the protective effect of tuberculosis preventive treatment (TPT).Methods:A retrospective cohort study was conducted to collect data on 15 school outbreaks that occurred in Guangdong Province from 2017 to 2021. Baseline information on tuberculin skin test (TST) or interferon-gamma release test (IGRA) was obtained during contact surveys, as well as baseline information such as TPT. The incidence of PTB between 2017 and 2022 was queried using the Chinese Center for Disease Control and Prevention Information System. Poisson regression analysis was used to compare the incidence risk of PTB in the LTBI population under different TST states at baseline. Current cases, new cases and all cases (the sum of the two) were used as dependent variables. Cox regression models were used to analyze various risk factors affecting the risk of PTB in the LTBI population and evaluate the protective effect of TPT.Results:A total of 6 550 contacts were included in this study, of which 409 received TPT. Within 0-3 months after baseline survey, 119 cases were diagnosed as current cases [19.4‰, 119/(6 550-409)]. A total of 17 221.65 person-years of follow-up were conducted, during which 71 new cases were diagnosed (4.1/1 000 person-years, 71/17 221.65). The incidence density of PTB was 47.7/1 000 person-years, 6.6/1 000 person-years, 1.4/1 000 person-years, and 0.9/1 000 person-years, respectively, in TST strong/IGRA positive, TST moderate positive, TST generally positive, and TST and IGRA negative populations. The difference in PTB incidence density was statistically significant [likelihood ratio test LRT=153.16, P<0.001]. TPT was performed for individuals with strong TST or IGRA positivity, and the protection rate could reach 93% ( HR=0.07, 95% CI: 0.02-0.23). Conclusion:After the outbreak of the school epidemic, individuals with strong TST/IGRA positivity have a higher risk of developing PTB in the future. Targeted implementation of TPT can achieve better protection effects. In addition, the risk of developing PTB in individuals with moderate TST positivity is also worth noting.

Objective:To establish a serum detection method of surface-enhanced Raman spectroscopy (SERS) combining with machine learning for early screening of colorectal cancer (CRC).Methods:Serum samples were collected from 150 CRC patients diagnosed at Jiangdu People′s Hospital, Affiliated to Yangzhou University, and also from 37 healthy subjects. Gold nanohexapod (AuNHs) arrays were prepared using an oil-water interface self-assembly method. A 5 μl serum sample was applied onto the AuNHs array. Scatheless and rapid detection for serum were performed using a Renishaw inVia Raman spectrometer at room temperature with a laser wavelength of 785 nm, exposure time of 10 s, and power of 5 mW. The raw SERS spectra were preprocessed using Savitzky-Golay smoothing, AsLS baseline correction, and Min-Max normalization with Origin 2019 software. Furthermore, the principal component analysis (PCA)-support vector machine (SVM) model was constructed using Python′s scikit-learn library. Leave-One-Out Cross-Validation (LOOCV) was used to evaluate the model′s accuracy, sensitivity, specificity, and area under the curve (AUC).Results:The AuNHs arrays exhibited uniform morphology. The relative standard deviation (RSD) of the SERS intensity at 1 080 cm -1 was 5.69%, and the RSD of the SERS intensity at 1 340 cm -1 was 6.20%. The limit of detection (LOD) of the AuNHs array was 9.42×10 -12 mol/L. The PCA-SVM model achieved an accuracy of 90.91% (170/187), sensitivity of 96.79% (181/187), specificity of 99.47% (186/187), and an AUC of 0.98. The most significant characteristic peaks distinguishing different CRC stages were at 747, 940, 1 000, 1 447, and 1 612 cm -1. Conclusion:The serum detection method based on SERS combined with machine learning can accurately screen CRC with higher accuracy, sensitivity, and specificity, demonstrating potential clinical application value.

Objective:This study aimed to analyze the infection status of viral viruria within one year after kidney transplantation, its impact on renal allograft function, and associated risk factors.Methods:A retrospective case-control study was conducted, involving 370 patients who underwent allogeneic kidney transplantation at Renji Hospital, Shanghai Jiao Tong University School of Medicine, from January 1, 2020 to December 31, 2021. Urinary viral loads of BK virus (BKV), JC virus (JCV), cytomegalovirus (CMV), and Epstein-Barr virus (EBV) were detected using PCR fluorescent probe assays. Patients were categorized into infection and non-infection groups. Glomerular filtration rate (GFR) and tacrolimus trough concentration was measured during infections, and clinical data were collected. Univariate analysis was performed to identify risk factors for viral viruria.Results:The 1-year patient survival rate and graft survival rate were both 98.6%. The incidence rates of viral viruria were as follows: JCV (42.7%), BKV (29.7%), CMV (11.6%), and EBV (2.9%), with statistically significant differences among viruses ( P<0.001). Single viral infection accounted for 48% of cases, while co-infections were predominantly BKV+JCV (9%). JCV infection rates remained consistently high throughout the year (22.4%-28.9%), whereas BKV infections peaked at 3 months postoperatively (20.5%). Co-infection with low-load JCV (>2 000 copies/ml) and CMV (>6 000 copies/ml) led to a significant decline in GFR at 6 months post-transplantation [median difference: 16.7 ml/(min×1.73 m2), P=0.019]. Univariate analysis revealed that elevated tacrolimus trough concentration was independent risk factor for BKV (4.90 vs. 4.30 ng/ml, Z=4.29, P<0.001) and JCV infections (5.30 vs. 4.80 ng/ml, Z=4.25, P<0.001). Conclusion:High incidences of JCV and BKV infections were observed post-kidney transplantation. Co-infection with low-load JCV and CMV accelerates renal function impairment, highlighting the critical role of tacrolimus concentration management in reducing viral infection risks.

Objective:To identify key risk factors for bloodstream infection (BSI) within 30 days after liver transplantation and to develop an etiological model to predict BSI pathogens based on these factors.Methods:A retrospective study enrolled 122 patients who underwent blood culture after liver transplantation at Renji Hospital, School of Medicine, Shanghai Jiao Tong University from July 2021 to March 2025. Patients were classified into a blood culture positive group ( n=87), comprising non-fermenting Gram-negative bacilli (e.g., Pseudomonas, Acinetobacter, n=8), fungi ( n=8), Staphylococcus ( n=27), Enterobacteriaceae ( n=30), and Enterococcus ( n=14) and a blood culture negative group ( n=35). Baseline variables and laboratory parameters obtained within 24 h of admission and during the postoperative course were subjected to univariate and multivariate analyses to identify risk factors and infection characteristics.Machine learning models for etiological prediction were then developed using these variables. Results:Among the 87 positive cultures, Enterobacterales (30/87, 34.48%) and Staphylococcus (27/87, 31.03%) were the main pathogens. Whithin these two categories of pathogens, Staphylococcus epidermidis and Klebsiella pneumoniae were the primary species, respectively. Autoimmune liver disease was more prevalent in the blood-culture-positive group than in the negative group ( χ2=4.05, P=0.044). The distribution of pathogenic bacteria causing BSI after liver transplantation has certain clinical characteristics. Six-eighths of patients with non-fermenting Gram-negative BSI had underlying malignancies.Among Enterococcal and Enterobacterales BSI cases, viral hepatitis (5/14; 8/30, 26.7%) and autoimmune hepatitis (2/14; 6/30, 20.0%) were more common. The area under curve values of the LightGBM, support vector machine (SVM), and neural network models were all greater than 0.90, indicating that these three models all have high predictive value for the types of pathogens causing bloodstream infections after liver transplantation. Conclusion:The etiological distribution of BSI after liver transplantation exhibits distinct clinical characteristics, LightGBM, SVM and neural network models effectively integrate multi-dimensional data to predict pathogen types, thereby informing infection-prevention and control strategies. Limitations include single-center design and small sample size. Multicenter prospective studies are warranted to validate the model′s efficacy in future research.

Objective:To analyze the epidemiological and clinical features of infectious diseases of the central nervous system (CNS).Methods:A cross-sectional study and analysis were conducted to summarize the epidemiological and clinical characteristics of 9 918 patients with CNS infectious diseases, who were diagnosed and treated at 29 hospitals across China from January 1, 2001 to December 31, 2020. Data collected included demographic data, clinical manifestations, health economic indicators, and prognostic outcomes.Results:Among the 9 918 collected cases of CNS infectious diseases, 5 559 were male (56.0%) and 4 359 were female (44.0%), with an onset age of 38 (25, 53) years. Education level: slightly more junior high school education (2 651 cases, 26.7%), and less elementary school education and below (2 181 cases, 22.0%) were found. Occupational distribution: farmers were found predominant (3 215 cases, 32.4%), followed by workers (1 826 cases, 18.4%) and students (1 633 cases, 16.5%). Clinical manifestations: headache (6 074 cases, 61.2%), fever (5 869 cases, 59.2%) and positive meningeal irritation signs (2 273 cases, 22.9%) were the 3 most common clinical manifestations, followed by nausea and (or) vomiting (2 095 cases, 21.1%), impaired consciousness (2 077 cases, 20.9%), psychiatric symptom (1 866 cases, 18.8%) and epilepsy (1 627 cases, 16.4%), etc., and cranial nerve involvement was found in 669 cases (6.7%). Major pathogens included viruses in 6 814 cases (68.7%), Mycobacterium tuberculosis in 1 677 cases (16.9%), common bacteria in 864 cases (8.7%), fungi in 254 cases (2.6%), spirochetes of syphilis in 183 cases (1.8%), parasites in 121 cases (1.2%), and rickettsiae in 5 cases (0.1%). Urban-rural distribution: slightly more cases were found in the countryside (5 418 cases, 54.6%) than in the towns (4 500 cases, 45.4%). Distribution of onset by season: 2 412 cases (24.3%) fell ill in spring, 2 835 cases (28.6%) in summer, 2 187 cases (22.1%) in fall, and 2 484 cases (25.0%) in winter. Health economics: the duration of hospitalization was 15 (8, 27) days, and the cost of hospitalization was 1.53 (0.91, 3.02)×10 000 yuan. Prognosis: 9 531 cases (96.1%) were cured or improved, and 92 cases (0.9%) died. Conclusions:The pathogens responsible for CNS infectious diseases are predominantly viruses. Although the incidence is slightly higher during the summer months, the overall seasonal pattern is not particularly pronounced. These infections are more commonly observed in young and middle-aged males and present with a diverse range of clinical manifestations, contributing to a significant disease burden.

Objectives:This study aims to investigate the expression changes of transient receptor potential vanilloid type 1 (TRPV1) channel and inflammatory factors in the peripheral blood of patients with schizophrenia, and to evaluate their potential value for diagnostic prediction.Methods:This cross-sectional study was conducted at Renmin Hospital of Wuhan University from September 2023 to June 2024. A total of 35 patients with schizophrenia (patient group) from the outpatient/inpatient departments and 35 age-and sex-matched healthy individuals (control group) were recruited. Psychiatric symptoms and cognitive function were evaluated using the Positive and Negative Syndrome Scale (PANSS) and the Brief Assessment of Cognition in Schizophrenia (BACS), respectively. The between-group comparisons of the total scores of these two instruments were calculated using independent samples t-tests. Fasting peripheral blood samples were collected from all participants. Plasma and peripheral blood mononuclear cells (PBMCs) were isolated for subsequent analysis. TRPV1 protein expression was quantified by Western blotting, while inflammatory cytokines, including tumor necrosis factor-α (TNF-α), interleukin-2 (IL-2), interleukin-4 (IL-4), interleukin-6 (IL-6), and interleukin-10 (IL-10), were measured using enzyme-linked immunosorbent assay (ELISA). The between-group differences in TRPV1 and inflammatory cytokines were analyzed using the analysis of covariance (ANCOVA), controlling for age and sex. Pearson correlation analysis was employed to examine relationships between continuous variables, controlling for years of education, age, and sex. The diagnostic performance of TRPV1 and inflammatory cytokines for schizophrenia was assessed using receiver operating characteristic (ROC) curve analysis. Results:Significant between-group differences were observed in BACS total and subscale scores ( t=2.57-9.72, all P<0.01). Compared with the control group, the patient group exhibits significantly decreased expression of TRPV1, IL-4, and IL-10 ( t=6.78, 2.75, 2.53, all P<0.01), increased expression of TNF-α, IL-2, and IL-6 ( t=4.08, 2.64, 2.63, all P<0.01), and an increased IL-6/IL-10 ratio ( t=3.18, P<0.01). Correlation analyses revealed that in the patient group, the TRPV1 expression level was negatively correlated with levels of TNF-α and IL-6, and positively correlated with levels of IL-4 and IL-10 ( r=-0.589, -0.234, 0.341, 0.293, all P<0.05). In the patient group, the TRPV1 expression level was negatively correlated with the negative symptom score of PANSS ( r=-0.299, P<0.05), and the IL-6 level was positively correlated with the negative symptom score, the general pathology score, and the total score of PANSS ( r=0.387, 0.356, 0.321, all P<0.05). The TRPV1 level was positively correlated with the total score of BACS in both the control group and the patient group ( r=0.144, 0.828, all P<0.01). The IL-6/IL-10 ratio was positively correlated with the total score of PANSS and negatively correlated with the total score of BACS in the patient group ( r=0.623, -0.333, all P<0.05). The area under the ROC curve for the combination of TRPV1 level and IL-6/IL-10 ratio was 0.98 (95% confidence interval=0.96 to 1.00). Conclusions:Patients with schizophrenia exhibit reduced expression levels of TRPV1 along with an imbalanced inflammatory response. The combined assessment of TRPV1 level and IL-6/IL-10 ratio has demonstrated a high predictive and diagnostic value for schizophrenia.

Objective:To investigate the inhibitory effect of astragaloside Ⅳ(AS-Ⅳ)on cisplatin(CDDP)-induced liver injury in the mice,and to elucidate its possible mechanism.Methods:Forty male C57BL/6 mice with body weights of 18-22 g were randomly divided into control group,model group,AS-Ⅳ group and adenosine 5'-monophosphate-activated protein kinase(AMPK)inhibitor(Compound C)+AS-Ⅳ group.The mice in control group and model group were gavaged with the same volume of normal saline,and the drug was administered continuously for 9 d.The mice in AS-Ⅳ group and Compound C+AS-Ⅳ group were given AS-Ⅳ aqueous solution(150 mg·kg-1·d-1),respectively.On the 6th day of experiment,the mice in Compound C+AS-Ⅳ group were intraperitoneally injected with Compound C(20 mg·kg-1),and on the 7th day,except for control group,the mice in other groups were intraperitoneally injected with 20 mg·kg-1 CDDP to establish the mouse liver injury models,and the mice were sacrificed 48 h later.Serum and liver tissues were collected,and the levels of aspartate aminotransferase(AST)and alanine aminotransferase(ALT)in the serum of the mice,as well as the activities of superoxide dismutase(SOD)and catalase(CAT)and the levels of malondialdehyde(MDA)in the liver tissue of the mice in various groups were detected by kits.The pathomorphology of liver tissue of the mice in various groups were detected by HE staining.The expression levels of glutathione peroxidase 4(GPX4),ferritin heavy chain 1(FTH1)and ferroptosis inhibitory protein 1(FSP1)proteins in liver tissue of the mice in various groups were detected by immunohistochemical staining,and the expression levels of nuclear factor-E2-related factor 2(Nrf2),heme oxygenase-1(HO-1)and AMPK proteins in liver tissue of the mice in various groups were detected by Western blotting method.Results:Compared with control group,the levels of AST and ALT in serum of the mice in model group were increased(P＜0.01),the activities of SOD and CAT in the liver tissue were significantly decreased(P＜0.01),and the MDA level was increased(P＜0.01);compared with model group,the levels of AST and ALT in serum of the mice in AS-Ⅳ group were decreased(P＜0.01),the MDA level in the liver tissue was decreased(P＜0.01),and the activities of SOD and CAT were increased(P＜0.01);compared with AS-Ⅳ group(P＜0.01),the levels of AST and ALT in serum of the mice in Compound C+AS-Ⅳ group were increased(P＜0.01),the level of MDA in liver tissue was increased(P＜0.05),and the activities SOD and CAT were decreased(P＜0.01).The HE staining results showed that compared with control group,the liver damage degree of the mice in model group was enhanced,the hepatocyte arrangement was disordered,and some hepatocyte edema were increased;compared with model group,the liver morphology of the mice in AS-Ⅳ group returned to normal;compared with AS-Ⅳ group,the hepatocyte arrangement of the mice in Compound C+AS-Ⅳ group was disordered and the edges were blurred.The immunohistochemistry results showed that compared with control group,the expression levels of GPX4,FTH1 and FSP1 proteins in liver tissue of the mice in model group were decreased(P＜0.05);compared with model group,the expression levels of GPX4,FTH1 and FSP1 proteins in liver tissue of the mice in AS-Ⅳ group were increased(P＜0.05);compared with AS-Ⅳ group,the expression levels of GPX4,FTH1 and FSP1 proteins in liver tissue of the mice in Compound C+AS-Ⅳ group were decreased(P＜0.05 or P＜0.01).The Western blotting results showed that compared with control group,the expression levels of Nrf2,HO-1 and AMPK proteins in liver tissue of the mice in model group were decreased(P＜0.01);compared with model group,the expression levels of Nrf2,HO-1 and AMPK proteins in liver tissue of the mice in AS-Ⅳgroup were increased(P＜0.01);compared with AS-Ⅳ group,the expression levels of Nrf2,HO-1 and AMPK proteins in liver tissue of the mice in Compound C+AS-Ⅳ group were decreased(P＜0.01).Conclusion:AS-Ⅳ can alleviate the CDDP-induced liver injury,and its mechanism may be related to the regulation of AMPK/Nrf2/HO-1 signal pathway and ferroptosis by AS-Ⅳ.