Relationships between sarcopenia, depressive symptoms, and the risk of cardiovascular disease in Chinese population.

BACKGROUND: Previous studies had indicated that sarcopenia and depressive symptoms were associated with increased risk of cardiovascular disease (CVD). The aim of present study was to evaluate the combined effect of sarcopenia and depressive symptoms on the CVD risk. METHODS: A total of 11,011 participants from the China Health and Retirement Longitudinal Study 2011-2020 were included. Multivariate Cox proportional hazards regression model was used to explore the associations between sarcopenia, depressive symptoms and new-onset CVD, stroke and cardiac events. RESULTS: During the 7-year follow-up, a total of 2,388 respondents experienced CVD (including 812 stroke and 1,831 cardiac events). There is a significant additive and multiplicative interactions of sarcopenia and depressive symptoms on risk of CVD, stroke and cardiac events. Compared with those without sarcopenia and depressive symptoms, individuals with depressive sarcopenia had the highest risk of CVD, stroke and cardiac events, with the corresponding hazard ratios (95% confidence interval) were 1.43 (1.26-1.63), 1.45 (1.15-1.82) and 1.50 (1.29-1.74), respectively. CONCLUSION: Our study indicated that there was a combined effect of sarcopenia and depressive symptoms on the risk of CVD, stroke and cardiac events. Our findings highlighted the importance of identifying sarcopenia and depressive symptoms, and intervening much earlier both in older and younger population.

Body mass index and risk of all-cause mortality among elderly Chinese: An empirical cohort study based on CLHLS data.

The aim of our study was to evaluate the relationship between body mass index (BMI) and all-cause mortality among elderly Chinese. The subjects of our study were a cohort of 13 319 elderly Chinese enrolled between 2008 and 2018. Participants were classified in three groups: underweight (<18.5 kg/m2), normal weight (18.5-24.9 kg/m2), overweight and obese (≥25 kg/m2) according to different BMI levels. Cox proportional-hazards regression model was used to analyze the association between BMI grouping and the risk of mortality among the three groups and each corresponding subgroup. The restricted cubic spline regression was performed to investigate the variation tendency of BMI and mortality in different groups and subgroups. We found that the hazard ratios (HRs) of mortality in the underweight and the normal-weight groups were 1.213 and 1.104, respectively, compared with those in the overweight and obesity groups. HR for mortality decreased as BMI increased, although this phenomenon was not observed as not a linear relationship in all participants. Nonetheless, this nonlinear relationship was significant in type 2 diabetes patients. Among subjects with non-type 2 diabetes, the shape of the negative curve, reflecting the HR for BMI and mortality, decreased when BMI increased. Our findings suggest that an obesity paradox exists in non-type 2 diabetes patients, in which BMI has a nonlinear negative relationship with mortality. Conversely, in type 2 diabetes patients there is a U-shaped association. Obesity may thus be protective for all-cause mortality among non-diabetic older populations.

MicroRNA-146a Serves as a Biomarker for Adverse Prognosis of ST-Segment Elevation Myocardial Infarction.

OBJECTIVE: This study is aimed at exploring the underlying molecular mechanisms of ST-segment elevation myocardial infarction (STEMI) and provides potential clinical prognostic biomarkers for STEMI. METHODS: The GSE60993 dataset was downloaded from the GEO database, and the differentially expressed genes (DEGs) between STEMI and control groups were screened. Enrichment analysis of the DEGs was subsequently performed using the DAVID database. A protein-protein interaction network was constructed, and hub genes were identified. The hub genes in patients were then validated by quantitative reverse transcription-PCR. Furthermore, hub gene-miRNA interactions were evaluated using the miRTarBase database. Finally, patient data on classical cardiovascular risk factors were collected, and plasma microRNA-146a (miR-146a) levels were detected. An individualized nomogram was constructed based on multivariate Cox regression analysis. RESULTS: A total of 239 DEGs were identified between the STEMI and control groups. Expression of S100A12 and miR-146a was significantly upregulated in STEMI samples compared with controls. STEMI patients with high levels of miR-146a had a higher risk of major adverse cardiovascular events (MACEs) than those with low levels of miR-146a (log-rank P = 0.034). Multivariate Cox regression analysis identified five statistically significant variables, including age, hypertension, diabetes mellitus, white blood cells, and miR-146a. A nomogram was constructed to estimate the likelihood of a MACE at one, two, and three years after STEMI. CONCLUSION: The incidence of MACEs in STEMI patients expressing high levels of miR-146a was significantly greater than in those expressing low levels. MicroRNA-146a can serve as a biomarker for adverse prognosis of STEMI and might function in its pathogenesis by targeting S100A12, which may exert its role via an inflammatory response. In addition, our study presents a valid and practical model to assess the probability of MACEs within three years of STEMI.