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Background Type 2 diabetes mellitus (T2DM) has become a public health burden facing the whole world, with the rapid development of Internet and digital technology, intelligent service model plays an important role in the management of patients with T2DM. Objective To explore the effectiveness of wearable devices combined with health coaching in patients with T2DM. Methods A total of 315 patients with T2DM who were hospitalized in the Second Affiliated Hospital of Nanchang University from June 2020 to June 2021 were selected as the study subjects, and divided into the control group, the intervention A group and the intervention B group based on the method of randomized numerical table, the control group implemented the routine management measures based on capillary blood glucose monitoring, the intervention A group adopted the wearable devices for routine management, the intervention B group was managed by wearable devices combined with health coaching. The differences in glycemic and lipid control status and self-management behaviors among the three groups before and 3, 6, 9 and 12 months after intervention were compared. Results A total of 15 lost visits were made during the implementation of the study, and 300 study subjects were finally included in the analysis, with 100 in each of the three groups. There was an interaction between intervention method and time in the three groups on 2-hour postprandial blood glucose (2 hPG) , glycated hemoglobin (HbA1c) , number of hypoglycemic episodes, low-density lipoprotein cholesterol (LDL-C) , self-management behaviors of diabetes mellitus (2-DSCS) , and self-management behaviors of diabetic patients (SDSCA) scores (P

N6‐methyladenosine (m6A) is the most prevalent internal RNA modification in mammals. However, limited research has been conducted on the role of m6A in coronary artery disease (CAD). We conducted methylated RNA immunoprecipitation sequencing and RNA sequencing to obtain a genome‐wide profile of m6A‐modified long noncoding RNAs (lncRNAs) in human coronary artery smooth muscle cells either exposed to oxidized low‐density lipoprotein treatment or not, and the characteristics of the expression profiles were explored using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses. The predictive effects of seven selected lncRNAs on CAD were evaluated in peripheral blood mononuclear cells (PBMCs). The differentially m6A‐modified and expressed lncRNAs related genes were predominantly enriched in small GTPase‐mediated signal transduction, ErbB signaling, and Rap1 signaling. Additionally, the expression levels of uc003pes.1, ENST00000422847, and NR_110155 were significantly associated with CAD, with uc003pes.1 identified as an independent risk factor and NR_110155 as an independent protective factor for CAD. NR_110155 and uc003pes.1 in PBMCs have the potential to serve as biomarkers for predicting CAD. [ABSTRACT FROM AUTHOR]

Background: Recent studies suggest that classical coronary risk factors play a significant role in the pathogenesis of coronary artery disease. Our study aims to explore the interaction of circRNA with classical coronary risk factors in coronary atherosclerotic disease. Method: Combined analysis of RNA sequencing results from coronary segments and peripheral blood mononuclear cells of patients with coronary atherosclerotic disease was employed to identify critical circRNAs. Competing endogenous RNA networks were constructed by miRanda-3.3a and TargetScan7.0. The relative expression quantity of circRNA in peripheral blood mononuclear cells was determined by qRT-PCR in a large cohort including 256 patients and 49 controls. Spearman's correlation test, receiver operating characteristic curve analysis, multivariable logistic regression analysis, one-way analysis of variance, and crossover analysis were performed. Results: A total of 34 circRNAs were entered into our study, hsa_circRPRD1A, hsa_circHERPUD2, hsa_circLMBR1, and hsa_circDHTKD1 were selected for further investigation. A circRNA-miRNA-mRNA network is composed of 20 microRNAs and 66 mRNAs. The expression of hsa_circRPRD1A (P = 0.004) and hsa_circHERPUD2 (P = 0.003) were significantly down-regulated in patients with coronary artery disease compared to controls. The area under the curve of hsa_circRPRD1A and hsa_circHERPUD2 is 0.689 and 0.662, respectively. Univariate and multivariable logistic regression analyses identified hsa_circRPRD1A (OR = 0.613, 95%CI:0.380–0.987, P = 0.044) as a protective factor for coronary artery disease. Based on the additive model, crossover analysis demonstrated that there was an antagonistic interaction between the expression of hsa_circHERPUD2 and alcohol consumption in subjects with coronary artery disease. Conclusion: Our findings imply that hsa_circRPRD1A and hsa_circHERPUD2 could be used as biomarkers for the diagnosis of coronary artery disease and provide epidemiological support for the interactions between circRNAs and classical coronary risk factors. [ABSTRACT FROM AUTHOR]