Independent and Combined Associations of Sleep Duration, Bedtime, and Polygenic Risk Score with the Risk of Hearing Loss among Middle-Aged and Old Chinese: The Dongfeng–Tongji Cohort Study

Evidence available on the independent and combined associations of sleep duration,bedtime,and genetic predisposition with hearing loss was lacking.The present study included 15,827 participants from the Dongfeng–Tongji cohort study.Genetic risk was characterized by polygenic risk score(PRS)based on 37 genetic loci related to hearing loss.We conducted multivariate logistic regression models to assess the odds ratio(OR)for hearing loss with sleep duration and bedtime,as well as the joint association and interaction with PRS.Results showed that hearing loss was independently associated with sleeping≥9 h/night compared to the recommended 7 to<8 h/night,and with bedtime≤9:00 p.m.and>9:00 p.m.to 10:00 p.m.compared to those with bedtime>10:00 p.m.to 11:00 p.m.,with estimated ORs of 1.25,1.27,and 1.16,respectively.

Ideal cardiovascular health and mortality:pooled results of three prospective cohorts in Chinese adults

Background: Evidence on the relations of the American Heart Association’s ideal cardiovascular health (ICH) with mortality in Asians is sparse, and the interaction between behavioral and medical metrics remained unclear. We aimed to fill the gaps. Methods: A total of 198,164 participants without cancer and cardiovascular disease (CVD) were included from the China Kadoorie Biobank study (2004-2018), Dongfeng-Tongji cohort (2008-2018), and Kailuan study (2006-2019). Four behaviors (i.e., smoking, physical activity, diet, body mass index) and three medical factors (i.e., blood pressure, blood glucose, and blood lipid) were classified into poor, intermediate, and ideal levels (0, 1, and 2 points), which constituted 8-point behavioral, 6-point medical, and 14-point ICH scores. Results of Cox regression from three cohorts were pooled using random-effects models of meta-analysis. Results: During about 2 million person-years, 20,176 deaths were recorded. After controlling for demographic characteristics and alcohol drinking, hazard ratios (95% confidence intervals) comparing ICH scores of 10-14 vs. 0-6 were 0.52 (0.41-0.67), 0.44 (0.37-0.53), 0.54 (0.45-0.66), and 0.86 (0.64-1.14) for all-cause, CVD, respiratory, and cancer mortality. A higher behavioral or medical score was independently associated with lower all-cause and CVD mortality among the total population and populations with different levels of behavioral or medical health equally, and no interaction was observed. Conclusions: ICH was associated with lower all-cause, CVD, and respiratory mortality among Chinese adults. Both behavioral and medical health should be improved to prevent premature deaths.

Alternations in the gut microbiota and metabolome with newly diagnosed unstable angina

Gut microbiota plays an important role in coronary heart disease, but its compositional and functional changes in unstable angina(UA) remain unexplored. We performed metagenomic sequencing of 133 newly diagnosed UA patients and 133 sex-and age-matched controls, and profiled the fecal and plasma metabolomes in 30 case-control pairs. The alpha diversity of gut microbiota was increased in UA patients:the adjusted odds ratios(ORs) per standard deviation increase in Shannon and Simpson indices were 1.30(95% confidence interval, 1.01-1.70) and 1.36(1.05-1.81), respectively. Two common species(depleted Klebsiella pneumoniae and enriched Streptococcus parasanguinis;P ≤ 0.002) and three rare species(depleted Weissella confusa, enriched Granulicatella adiacens and Erysipelotrichaceae bacterium 6_1_45;P ≤ 0.005) were associated with UA. The UA-associated gut microbiota was depleted in the pathway of Lphenylalanine degradation(P = 0.001), primarily contributed by Klebsiella pneumoniae. Consistently, we found increased circulating phenylalanine in UA patients(OR = 2.76 [1.17-8.16]). Moreover, Streptococcus parasanguinis was negatively correlated with fecal citrulline(Spearman's r_(s)=-0.470, P = 0.009), a metabolite depleted in UA patients(OR = 0.26 [0.08-0.63]). These findings are informative to help understand the metabolic connection between gut microbiota and UA.