AIM:To explore the effect of miR-1246 on high glucose-induced retinal microvascular endothelial cells(RMECs)injury by regulating methyltransferase like 3(METTL3)mediated sirtuin 1(SIRT1)N6-methyladenosine(m6A)modification.METHODS:Dual luciferase assay was used to detect miR-1246 regulation of METTL3 expression; RMECs cells were divided into control group, high glucose(HG)group, high glucose+knocking down control(HG+anti-miR-NC)group, high glucose+knocking down miR-1246 expression(HG+anti-miR-1246)group, high glucose+overexpression control(HG+NC)group, high glucose+overexpression METTL3(HG+METTL3)group, high glucose+overexpression miR-1246+control(HG+miR-1246+NC)group, and high glucose+overexpression miR-1246+METTL3(HG+miR-1246+METTL3)group. After induction of high glucose for 48 h, CCK-8 method was used to detect cell survival; Annexin V-FITC/PI method was used to detect cell apoptosis; Transwell experiment was used to detect cell migration and invasion; ELISA method was used to detect cell oxidative stress and inflammation levels; Colorimetric method was used to detect m6A methylation level in total RNA; MeRIP-qPCR method was used to detect SIRT1 m6A methylation level; Real-time quantitative PCR was used to detect miR-1246, METTL3, SIRT1 mRNA expression in cells; Western blot was used to detect METTL3, SIRT1 and endothelial mesenchymal transition(EndMT)markers protein expression in cells.RESULTS: The MiR-1246 regulated METTL3 expression. Compared with the control group, cell survival rate was decreased in the HG group, apoptosis rate was increased, and the number of migrating and invading cells were increased, lactate dehydrogenase(LDH)activity, tumor necrosis factor-α(TNF-α), and interleukin(IL)-6 levels in cell culture supernatant were increased, IL-10 level was decreased, malondialdehyde(MDA)level was increased, superoxide dismutase(SOD)activity was decreased, miR-1246 expression was increased, total RNA m6A level and SIRT1 m6A level were decreased, METTL3, SIRT1, cluster of differentiation 31(CD31)and vascular endothelial cadherin(VE-cadherin)expression were decreased, while Vimentin and Snail1 expression were increased(all P<0.05); compared with the HG+anti-miR-NC group, cell survival rate was increased in the HG+anti-miR-1246 group, apoptosis rate was decreased, and the number of migrating and invading cells were decreased, LDH activity, TNF-α, and IL-6 levels in cell culture supernatant were decreased, IL-10 level was increased, MDA level was decreased, SOD activity was increased, miR-1246 expression was decreased, total RNA m6A level and SIRT1 m6A level were increased, METTL3, SIRT1, CD31 and VE-cadherin expression were increased, while Vimentin and Snail1 expression were decreased(all P<0.05); compared with the HG+NC group, cell survival rate was increased in the HG+METTL3 group, apoptosis rate was decreased, and the number of migrating and invading cells were decreased, LDH activity, TNF-α, and IL-6 levels in cell culture supernatant were decreased, IL-10 level was increased, MDA level was decreased, SOD activity was increased, miR-1246 expression was decreased, total RNA m6A level and SIRT1 m6A level were increased, METTL3, SIRT1, CD31 and VE-cadherin expression were increased, while Vimentin and Snail1 expression were decreased(all P<0.05); compared with the HG+miR-1246+NC group, cell survival rate was increased in the HG+miR-1246+METTL3 group, apoptosis rate was decreased, and the number of migrating and invading cells were decreased, LDH activity, TNF-α, and IL-6 levels in cell culture supernatant were decreased, IL-10 level was increased, MDA level was decreased, SOD activity was increased, miR-1246 expression was decreased, total RNA m6A level and SIRT1 m6A level were increased, METTL3, SIRT1, CD31 and VE-cadherin expression were increased, while Vimentin and Snail1 expression were decreased(all P<0.05).CONCLUSION:The miR-1246 promotes high glucose-induced apoptosis, invasion and metastasis, oxidative stress, inflammatory response, and EndMT process in RMECs cells by regulating METTL3 mediated SIRT1 m6A modification.

OBJECTIVE: To investigate the gene detection results of 2 patients with familial hypercholesterolemia (FH) caused by complex heterozygous variation, and to clarify the relationship between clinical manifestations and gene variation. METHODS: Two patients (patient 1 and 2) with FH who visited Beijing Anzhen Hospital Affiliated to Capital Medical University in 2018 were selected as research subjects. A retrospective study method was used to collect clinical and family history data of the two patients. And 2 mL of peripheral venous blood from each of the two patients was collected, and genomic DNA extraction was performed on the blood samples. Sanger sequencing was used to validate the variant sites of the two patients detected by whole-exome sequencing (WES). Pathogenicity of variants was classified based on the American College of Medical Genetics and Genomics (ACMG) Standards and Guidelines for the Classification of Genetic Variants (hereinafter referred to as the "ACMG Guidelines"), and the impact of variant was analyzed using multiple bioinformatics tools including SIFT, PolyPhen-2, and SWISS-MODEL. This study has been approved by Beijing Anzhen Hospital Affiliated to Capital Medical University (Ethics No. 2024215X). RESULTS: Patient 1 initially presented with early-onset coronary heart disease, with initial lipid levels of serum total cholesterol (TC) 9.86 mmol/L (normal reference value: 3.10~5.20 mmol/L) and serum low-density lipoprotein cholesterol (LDL-C) 8.37 mmol/L (normal reference value: 1.27~3.12 mmol/L) on admission. Patient 1 initially underwent treatment with rosuvastatin combined with ezetimibe for one month, but the lipid-lowering effect was not significant. The lipid-lowering therapy was then adjusted to atorvastatin combined with ezetimibe and probucol. After one year of treatment, the patient developed paroxysmal chest pain symptoms. A follow-up lipid profile showed a serum TC level of 4.50 mmol/L and a LDL-C level of 3.55 mmol/L. The lipid-lowering regimen was continued, and the serum LDL-C levels were maintained between 2.65 and 3.66 mmol/L. Patient 2 was found to have an abnormally high blood lipid level and carotid artery hardening during physical examination, with an initial blood lipid level of serum TC 11.82 mmol/L and serum LDL-C 9.63 mmol/L. After receiving rosuvastatain therapy, the lipid-lowering effect was significant. WES revealed that patient 1 carried the heterozygous variants c.1871_1873del(p.Ile624del) and c.1747C>T (p.His583Tyr) in the LDLR gene (NM_000527.4), while patient 2 carried the heterozygous variants c.1747C>T (p.His583Tyr) in the LDLR gene and c.6936_6937inv (p.Ile2313Val) in the APOB gene (NM_000384). According to the ACMG Guidelines, the LDLR gene c.1747C>T (p.His583Tyr) was classified as a pathogenic variant (PS3+PM1+PM2_supporting+PM5+PP2+PP3), and c.1871_1873del (p.Ile624del) was classified as a pathogenic variant (PS3+PS4+PM2_supporting+PM1+PM4); the APOB gene c.6936_6937inv (p.Ile2313Val) was classified as a variant of uncertain clinical significance (PM2_supporting BP4). CONCLUSION Patients 1 and 2 in this study were patients with complex heterozygous variant FH, and their genotypic differences may be related to the differences in clinical serum LDL-C levels and the efficacy of hypolipidemic agents.
Humans ; Hyperlipoproteinemia Type II/drug therapy* ; Male ; Female ; Heterozygote ; Adult ; Middle Aged ; Receptors, LDL/genetics* ; Retrospective Studies ; Mutation ; Exome Sequencing

OBJECTIVE: To explore the genetic basis of a patient suspected for Loeys-Dietz syndrome (LDS). METHODS: A adult male patient with aneurysmal dilation of the aortic root identified during the treatment for chronic myeloid leukemia at Anzhen Hospital of Capital Medical University in 2021 was selected as the study subject. Clinical data of the patient were retrospectively collected. Peripheral blood samples were collected from the patient and his family members and subjected to whole-exome sequencing (WES). Candidate variant was verified by bioinformatic analysis, with a focus on the genes associated with hereditary aortic aneurysms. Candidate variant was validated by Sanger sequencing. The online SpliceAI software was used for the prediction of protein function. The results, combined with information from public databases, were used to classify the pathogenicity of the candidate variant according to the guidelines from the American College of Medical Genetics and Genomics (ACMG). This study was approved by the Ethics Committee of Beijing Anzhen Hospital (Ethics No. 2023163X). RESULTS: Imaging analysis revealed that the patient had aneurysmal dilation of the aortic root. Based on his clinical features and past history, a provisional diagnosis of LDS was established. WES revealed that the patient had harbored a heterozygous splice site variant c.206+2T>G in the SMAD3 gene (NM_005902). The variant was not reported in public databases and was predicted to be pathogenic by SpliceAI. Sanger sequencing showed that the variant was also present in the proband's mother, sister, nephew, and daughter, but not in his father. Based on the guidelines from the ACMG, the variant was classified as likely pathogenic (PVS1+PM2_Supporting). CONCLUSION The heterozygous splice site variant c.206+2T>G of the SMAD3 gene probably underlay the disease in this patient. Above discovery has enriched the mutational spectrum of LDS, which may facilitate delineation of the genotype-phenotype correlation and provide a basis for further risk stratification and personalized treatment of LDS.
Adult ; Humans ; Male ; Exome Sequencing ; Loeys-Dietz Syndrome/genetics* ; Mutation ; Pedigree ; Smad3 Protein/genetics*

OBJECTIVE: Baicalein has been reported to have wide therapeutic effects that act through its anti-inflammatory activity. This study examines the effect and mechanism of baicalein on sepsis-induced cardiomyopathy (SIC). METHODS: A thorough screening of a small library of natural products, comprising 100 diverse compounds, was conducted to identify the most effective drug against lipopolysaccharide (LPS)-treated H9C2 cardiomyocytes. The core target proteins and their associated signaling pathways involved in baicalein's efficacy against LPS-induced myocardial injury were predicted by network pharmacology. RESULTS: Baicalein was identified as the most potent protective agent in LPS-exposed H9C2 cardiomyocytes. It exhibited a dose-dependent inhibitory effect on cell injury and inflammation. In the LPS-induced septic mouse model, baicalein demonstrated a significant capacity to mitigate LPS-triggered myocardial deficits, inflammatory responses, and ferroptosis. Network pharmacological analysis and experimental confirmation suggested that hypoxia-inducible factor 1 subunit α (HIF1-α) is likely to be the crucial factor in mediating the impact of baicalein against LPS-induced myocardial ferroptosis and injury. By combining microRNA (miRNA) screening in LPS-treated myocardium with miRNA prediction targeting HIF1-α, we found that miR-299b-5p may serve as a regulator of HIF1-α. The reduction in miR-299b-5p levels in LPS-treated myocardium, compared to the control group, was reversed by baicalein treatment. The reverse transcription quantitative polymerase chain reaction, Western blotting, and dual-luciferase reporter gene analyses together identified HIF1-α as the target of miR-299b-5p in cardiomyocytes. CONCLUSION Baicalein mitigates SIC at the miRNA level, suggesting the therapeutic potential of it in treating SIC through the regulation of miR-299b-5p/HIF1-α/ferroptosis pathway. Please cite this article as: Zhou WY, Du JK, Liu HH, Deng L, Ma K, Xiao J, Zhang S, Wang CN. Baicalein attenuates lipopolysaccharide-induced myocardial injury by inhibiting ferroptosis via miR-299b-5p/HIF1-α pathway. J Integr Med. 2025; 23(5):560-575.
Flavanones/pharmacology* ; Animals ; MicroRNAs/genetics* ; Lipopolysaccharides ; Hypoxia-Inducible Factor 1, alpha Subunit/genetics* ; Ferroptosis/drug effects* ; Mice ; Myocytes, Cardiac/metabolism* ; Signal Transduction/drug effects* ; Rats ; Male ; Mice, Inbred C57BL ; Cardiomyopathies/etiology* ; Cell Line ; Sepsis/complications*

Objective To explore the gender differences in the relationship between depressive symptoms and cognitive functions in patients with depression.Methods From January 2021 to June 2024,375 patients meeting the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition(DSM-5)criteria for depression were selected by convenience sampling from the Affiliated Psychological Hospital of Anhui Medical University.Depressive symptom severity was assessed using the 24-item Hamilton depression scale(HAMD-24),while cognitive function was evaluated using a series of neuropsychological assessment tools,including the trail making test,logical memory,figure memory,digit symbol substitution test,digit span backward,and Wisconsin card sorting test.Network analysis was performed using R software to examine the relationships between symptoms and cognitive function.Results The core symptom factors and core cognitive domains for male depressive patients are sleep disturbances(strength=1.253)and information processing speed(strength=1.605),respectively;In contrast,female patients exhiboted emotional stagnation(strength=1.322)and working memory(strength=1.289).Sleep disturbances and emotional stagnation were the bridging nodes(bridge strength=1.253 and 1.322)for male and female patients,respectively.The correlation stability(CS)coefficients for the node strength centrality in male and female patient groups were 0.514 and 0.515,respectively,both exceeding threshold of 0.25,indicating good network stability.There were no significant differences between genders in terms of global network strength(male vs.female:2.22 vs.4.87;P=0.356)and edge weight distribution(P=0.293).Conclusion The network relationships between depressive symptoms and cognitive function in depression patients show significant gender differences.Sleep disturbance and information processing speed play central roles in males,whereas emotional retardation and working memory impairment are core features in females.These findings provide a theoretical basis for developing gender-specific intervention strategies.

BACKGROUND: Changes in N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels may not fully translate into patient-reported health status in patients with heart failure (HF). We aimed to evaluate the correlation between NT-proBNP levels and patient-reported health status changes at one month after discharge of patients, and their associations with risk of death and rehospitalization in patients with acute HF. METHODS: We used data from the China Patient-centered Evaluative Assessment of Cardiac Events Prospective Heart Failure Study (PEACE 5p-HF Study). Patient-reported health status was measured by the 12-item Kansas City Cardiomyopathy Questionnaire (KCCQ-12). Patients who were hospitalized for HF and completed the KCCQ-12 and NT-proBNP tests before and one month after discharge were eligible in our study. We stratified patients into different groups based on NT-proBNP levels (i.e., improved, stable, and deteriorated) and KCCQ-12 scores (i.e., not deteriorated and deteriorated). We also examined the associations of the joint NT-proBNP and KCCQ-12 change with the risk of one-year and four-year clinical outcomes. RESULTS: A total of 2461 patients were included in the analysis. The mean age was 64.06 ± 13.51 years, and 36.37% (895/2461) of the study population were female. Among patients with improved NT-proBNP levels, 115 (10.95%) patients had deteriorated KCCQ-12 scores. The correlation between the change in the KCCQ-12 score and NT-proBNP level was weak ( r2 = 0.002, P = 0.013). Stratification by changes in the KCCQ-12 score revealed subgroups with distinctive risks, such that patients with deteriorated KCCQ-12 scores in any of the NT-proBNP change groups exhibited an increased risk of one-year all-cause death than participants with not deteriorated KCCQ-12 scores in any of the NT-proBNP change groups. Patients with improved NT-proBNP levels and deteriorated KCCQ-12 scores presented greater risks of one-year all-cause death (hazard ratio [HR]: 2.45, 95% confidence interval [CI]: 1.34-4.48) than patients with stable NT-proBNP levels and not deteriorated KCCQ-12 scores (HR [95% CI], 1.77 [1.25-2.53]). CONCLUSIONS: A discrepancy between changes in NT-proBNP levels and KCCQ-12 scores was common. The change in NT-proBNP levels was not sufficient to characterize critical aspects related to HF during one month after discharge of patients. Changes in the KCCQ-12 score exhibit complementary information to NT-proBNP levels for the prediction of clinical outcomes in patients with acute HF. REGISTRATION www.clinicaltrials.gov (No. NCT02878811).
Aged ; Female ; Humans ; Male ; Middle Aged ; Health Status ; Heart Failure/metabolism* ; Natriuretic Peptide, Brain/metabolism* ; Peptide Fragments/metabolism* ; Prospective Studies

BACKGROUND: The American Heart Association (AHA) introduced the concept of cardiovascular-kidney-metabolic (CKM) health and stage, reflecting the interaction among metabolism, chronic kidney disease (CKD), and the cardiovascular system. However, the association between CKM stage and the long-term risk of cardiovascular disease (CVD) has not been validated. This study aimed to evaluate the long-term CVD risk associated with CKM health metrics and CKM stage using data from a population-based cohort study. METHODS: In total, 5293 CVD-free participants were followed up to around 13 years in the Chinese Multi-provincial Cohort Study (CMCS). Considering the pathophysiologic progression of CKM health metrics abnormalities (comprising obesity, central adiposity, prediabetes, diabetes, hypertriglyceridemia, CKD, and metabolic syndrome), participants were divided into CKM stages 0, 1, and 2. The time-dependent Cox regression models were used to estimate the cardiovascular risk associated with CKM health metrics and stage. Additionally, broader CVD outcomes were examined, with a specific assessment of the impact of stage 3 in 2581 participants from the CMCS-Beijing subcohort. RESULTS: Among participants, 91.2% (4825/5293) had at least one abnormal CKM health metric, 8.8% (468/5293), 13.3% (704/5293), and 77.9% (4121/5293) were in CKM stages 0, 1, and 2, respectively; and 710 incident CVD cases occurred during a median follow-up time of 13.3 years (interquartile range: 12.1 to 13.6 years). Participants with each poor CKM health metric exhibited significantly higher CVD risk. Compared with stage 0, the hazard ratio (HR) (95% confidence interval [CI]) for CVD incidence was 1.31 (0.84-2.04) in stage 1 and 2.27 (1.57-3.28) in stage 2. Significant interactive impacts existed between CKM stage and age or sex, with higher CVD risk related to increased CKM stages in participants aged <60 years or females. CONCLUSION These findings highlight the contribution of CKM health metrics and CKM stage to the long-term risk of CVD, suggesting the importance of multi-component recognition and management of poor CKM health in CVD prevention.
Humans ; Female ; Male ; Cardiovascular Diseases/etiology* ; Middle Aged ; Adult ; Cohort Studies ; Renal Insufficiency, Chronic/metabolism* ; Aged ; Risk Factors ; Metabolic Syndrome/metabolism* ; China ; East Asian People

Deep learning method can be used to automatically analyze electrocardiogram (ECG) data and rapidly implement arrhythmia classification, which provides significant clinical value for the early screening of arrhythmias. How to select arrhythmia features effectively under limited abnormal sample supervision is an urgent issue to address. This paper proposed an arrhythmia classification algorithm based on an adaptive multi-feature fusion network. The algorithm extracted RR interval features from ECG signals, employed one-dimensional convolutional neural network (1D-CNN) to extract time-domain deep features, employed Mel frequency cepstral coefficients (MFCC) and two-dimensional convolutional neural network (2D-CNN) to extract frequency-domain deep features. The features were fused using adaptive weighting strategy for arrhythmia classification. The paper used the arrhythmia database jointly developed by the Massachusetts Institute of Technology and Beth Israel Hospital (MIT-BIH) and evaluated the algorithm under the inter-patient paradigm. Experimental results demonstrated that the proposed algorithm achieved an average precision of 75.2%, an average recall of 70.1% and an average F ₁-score of 71.3%, demonstrating high classification accuracy and being able to provide algorithmic support for arrhythmia classification in wearable devices.
Humans ; Arrhythmias, Cardiac/diagnosis* ; Algorithms ; Electrocardiography/methods* ; Neural Networks, Computer ; Signal Processing, Computer-Assisted ; Deep Learning ; Classification Algorithms