Objective Our purpose was to explore the relationship between triglyceride glucose (TyG) index and the risk of new-onset hypertension in Chinese individuals aged ≥45 years. Methods From 2011 to 2018, data from the China Health and Retirement Longitudinal Survey (CHARLS) were analyzed. The relationship between TyG index and hypertension was assessed utilizing Cox regression and restricted cubic spline (RCS) plot, and the importance of the TyG index in hypertension development was demonstrated by a random forest machine learning model. Finally, subgroup analysis was conducted to test for potential interactions on hypertension development between the TyG index and subgroups. Results 19.7% of the 4755 individuals who were involved in this survey developed hypertension over an average follow-up period of 5.22 years. Compared with the first quartile of albumin, the multivariate HR (95% CI) for the risk of new-onset hypertension across the TyG index quartiles was 1.09 (0.89, 1.33), 1.09 (0.89, 1.33), and 1.29 (1.06, 1.58), respectively ( P for trend <0.001). The RCS plot revealed a linear relationship ( P for nonlinear = 0.322), and the random forest machine learning model illustrated that the TyG index was a significant hazard factor on hypertension development. There was no interaction between subgroups and the relationships of the TyG index with the prevalence of hypertension (all P -value >0.05). Conclusion TyG index was an independent hazard indicator for new-onset hypertension, and routine measurement and control of TyG index level might be great for preventing hypertension development.
Background Despite being the most prevalent valve heart disease among the elderly, calcified aortic valve disease (CAVD) is not adequately addressed based on its current mechanisms. N6-methyladenosine (m6A) modification is increasingly being studied in cardiovascular disease. Nonetheless, the biological role of m6A in CAVD remains to be determined. Methods We obtained the differentially expressed m6A based on difference analysis, and identified the target genes regulated by key m6A through co-expression analysis and m6A2Target database. The enrichment analysis of targeted genes was performed via Metascape. Immunocyte infiltration analysis was performed by R-package. The tools such as miRDB, Targetscan, miRTarBase, and Cytoscape were applied for the construction of competitive endogenous RNAs (ceRNAs) network. Quantitative real-time PCR (qRT-PCR) was utilized to verify whether the expression of components in the ceRNA network is consistent with the public database. Results The ceRNA network consists of one m6a (KIAA1429), one mRNA (ZC3H12C), three miRNAs (miR-17-5p, miR-20b-5p and miR-137), and two lncRNAs (HCG11 and PRICKLE2-AS3). KIAA1429 is a down-regulated methyltransferase in CAVD. The genes modified by KIAA1429 were primarily enriched in the metabolic process of RNA, viral process, and immune system process et al. There was a rising infiltration of macrophages m0, and a decreasing infiltration of macrophages m2, dendritic cells resting in CAVD. KIAA1429 was negatively correlated with macrophages m0 and positively correlated with macrophages m2. KIAA1429(m6a), ZC3H12C (mRNA), and HCG11(lncRNA) showed lower expression levels in CAVD than those in normal tissue, whereas miR-17-5p, miR-20b-5p (miRNA) showed higher expression levels. Conclusion Potential pathways associated with KIAA1429 in CAVD were identified, in which ZC3H12C and miR-20b-5p might participate in CAVD progression via the nuclear factor kappa-B (NF-κB) pathway.
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