Global warming-associated increases in temperature, particularly at nighttime, are detrimental to rice yield and quality. Metabolomic profiling was used to examine and compare the short-term extreme high nighttime temperature-induced molecular perturbations in rice ( Oryza sativa) coisogenic strains with contrasting heat-tolerances at the first stage of seed ripening. Compared to the heat-sensitive strain, antioxidant molecules were higher in abundance in the heat-tolerant strain, whereas the abundances of molecules involved in photosynthesis, nucleotide catabolism, and the S-adenosylmethionine (SAM) cycle varied only slightly. Thus, we proposed that the high abundance of antioxidant molecules in the heat-tolerant strain alleviated cellular oxidative stress, which protected photosynthesis, nucleotide catabolism, and the SAM cycle, leading to good grain filling.
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http://dx.doi.org/10.1021/acs.jafc.8b04425 | DOI Listing |
Sleep Health
January 2025
Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut, USA.
Objectives: To describe sleep duration, adherence to sleep recommendations, and behavioral and sociodemographic correlates of sleep among Samoan children.
Methods: In a longitudinal cohort study of Samoan children aged 2-9years (n = 481; 50% female), primary caregivers reported usual number of hours of nighttime sleep during 2015, 2017/2018, and 2019/2020 data collection waves. Associations between behavioral and sociodemographic characteristics and sleep duration were assessed using generalized linear and mixed effect regressions.
J Environ Manage
January 2025
Department of Epidemiology and Statistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China. Electronic address:
Background: Environmental noise seriously affects people's health and life quality, but there is a scarcity of noise exposure data in metropolitan cities and at nighttime, especially in developing countries.
Objective: This study aimed to assess the environmental noise level by land use regression (LUR) models and create daytime and nighttime noise maps with high-resolution of Guangzhou municipality.
Methods: A total of 100 monitoring sites were randomly selected according to population density.
Ann Med
December 2025
Department of Ophthalmology, The Affiliated People's Hospital of Ningbo University, Ningbo, China.
Objective: This study aimed to assess the associations between multidimensional sleep features and type 2 diabetes mellitus (T2DM).
Methods: We conducted a systematic search across the PubMed, Embase, Web of Science, and Scopus databases for observational studies examining the association between nighttime sleep duration, nighttime sleep quality, sleep chronotype, and daytime napping with type 2 diabetes mellitus (T2DM), up to October 1, 2024. If < 50%, a combined analysis was performed based on a fixed-effects model, and vice versa, using a random-effects model.
Front Public Health
January 2025
Reproductive Medicine Center, Obstetrics and Gynecology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Introduction: Frailty is an emerging global health burden, and there is no consensus on the precise prediction of frailty. We aimed to explore the association between grip strength and frailty and interpret the optimal machine learning (ML) model using the SHapley Additive exPlanation (SHAP) to predict the risk of frailty.
Methods: Data for the study were extracted from the China Health and Retirement Longitudinal Study (CHARLS) database.
Front Public Health
January 2025
College of Nursing, Bengbu Medical University, Bengbu, Anhui, China.
Aim: This study aims to explore the cognitive trajectory changes in middle-aged and older adults individuals with dual sensory impairment (simultaneous visual and hearing impairment) and to identify the predictors of different trajectory changes.
Methods: Based on the longitudinal data from the China Health and Retirement Longitudinal Study (CHARLS) from 2013 to 2020, data from 2,369 middle-aged and older adults individuals with dual sensory impairment were selected. A latent variable growth mixture model was constructed to analyze the cognitive function development trajectories in this population and to identify their predictive factors.
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