Publications

Additional file 13: Table S11. Associations between DNA methylation at the three Bonferroni-significant CpG-sites with BMI in all age ranges.

Physical activity (PA) associates with cardiovascular autonomic function, but the relationship with lifelong PA is unclear. We hypothesized that lifelong PA would associate with cardiovascular autonomic function in midlife.At the age of 46 yr, the subjects of the prospective Northern Finland Birth Cohort 1966 were invited to examinations where vagally mediated heart rate variability (root mean square of the successive differences in RRi [rMSSD]) and cross-spectral baroreflex sensitivity (BRS) were analyzed from 3-min recordings of ECG and blood pressure in seated and standing positions. Three lifelong PA trajectory groups (active, semiactive, and inactive) were formed according to their self-reported frequencies of participation in PA at the ages of 14, 31, and 46 yr. Finally, 1283 men and 1779 women without cardiorespiratory diseases and diabetes had complete data on lifelong PA, covariates, and rMSSD, and 662 men and 807 women for BRS.In both sexes and measurement conditions, the active (P < 0.01) and semiactive groups (P < 0.05) had greater rMSSD than the inactive group, and the highest BRS was observed in the active group (ANOVA P = 0.001-0.032). In men, these differences were not significant when adjusted for 46-yr lifestyle (smoking, alcohol consumption, sleep, and sitting time), body mass index, waist-to-hip ratio, blood pressure, lipid status, and glucose status. In women, lifelong PA remained a significant independent determinant of seated and standing rMSSD and standing BRS.Higher lifelong PA was associated with better cardiovascular autonomic function in midlife. In women, this effect was independent, but in men, it seemed to be mediated by the other lifestyle and cardiometabolic factors.

No abstract is provided for this article.

Due to highly personalized biological and lifestyle characteristics, different individuals may have different metabolite responses to specific foods and nutrients. In particular, the gut microbiota, a collection of trillions of microorganisms living in the gastrointestinal tract, is highly personalized and plays a key role in the metabolite responses to foods and nutrients. Accurately predicting metabolite responses to dietary interventions based on individuals' gut microbial compositions holds great promise for precision nutrition. Existing prediction methods are typically limited to traditional machine learning models. Deep learning methods dedicated to such tasks are still lacking. Here we develop a method McMLP (Metabolite response predictor using coupled Multilayer Perceptrons) to fill in this gap. We provide clear evidence that McMLP outperforms existing methods on both synthetic data generated by the microbial consumer-resource model and real data obtained from six dietary intervention studies. Furthermore, we perform sensitivity analysis of McMLP to infer the tripartite food-microbe-metabolite interactions, which are then validated using the ground-truth (or literature evidence) for synthetic (or real) data, respectively. The presented tool has the potential to inform the design of microbiota-based personalized dietary strategies to achieve precision nutrition.

STUDY QUESTIONTo what extent do self-reported oligo-amenorrhea and hirsutism affect reproductive performance (childlessness, age at first delivery, family size and miscarriage rates)?

Background and Purpose— Previous research suggests greater risk of coronary heart disease with lower levels of the adrenal steroid dehydroepiandrosterone sulfate (DHEAS). No studies have examined the association between DHEAS and risk of ischemic stroke. DHEAS may influence ischemic stroke risk through atherosclerotic-related mechanisms (endothelial function and smooth muscle cell proliferation) or insulin resistance. Methods— Between 1989 and 1990, 32 826 women without prior stroke in the Nurses’ Health Study, an observational cohort, provided blood samples and were followed up for cardiovascular events. Among this sample, using a nested case–control design, 461 ischemic strokes were confirmed by medical records by 2006. Cases were matched to controls free of stroke at the time of the index case and by age, race, menopausal status, postmenopausal hormone use, smoking status, and date of sample collection. Multivariable conditional logistic regression was used. Results— Median DHEAS levels did not differ between cases (median=58.7) and controls (median=66.0; P =0.10). Conditional on matching factors, the lowest DHEAS quartile exhibited a relative risk of 1.30 for ischemic stroke (95% confidence interval, 0.88–1.94), compared with the highest quartile and marginally unchanged when adjusted for confounders (relative risk=1.33; 95% confidence interval, 0.87–2.02). When modeled as a binary variable dichotomized at the lowest quartile, women with low DHEAS (≤the lowest quartile) had a significantly increased multivariable adjusted risk of ischemic stroke compared with those with higher levels (relative risk=1.41; 95% confidence interval, 1.03–1.92). Conclusions— Lower DHEAS levels were associated with a greater risk of ischemic stroke, even after adjustment for potential confounders. These novel observations warrant confirmation in other populations.