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Background: Metabolite abundance is a dynamic trait that varies in response to environmental stimuli and phenotypic traits, such as food consumption and body mass index (BMI, kg/m).
Objectives: In this study, we used the Netherlands Epidemiology of Obesity (NEO) study data to identify observational and causal associations between BMI and metabolite response to a liquid meal.
Methods: A liquid meal challenge was performed, and Nightingale Health metabolite profiles were collected in 5744 NEO participants. Observational and one-sample Mendelian randomization (MR) analysis were conducted to estimate the effect of BMI on metabolites (n = 229) in the fasting, postprandial, and response (or change in abundance) states.
Results: We observed 473 associations with BMI (175 fasting, 188 postprandial, and 110 response) in observational analyses. In MR analyses, we observed 20 metabolite traits (5 fasting, 12 postprandial, and 3 response) to be associated with BMI. MR associations included the glucogenic amino acid alanine, which was inversely associated with BMI in the response state (β: -0.081; SE: 0.023; P = 5.91 × 10), suggesting that as alanine increased in postprandial abundance, that increase was attenuated with increasing BMI.
Conclusions: Overall, this study showed that MR estimates were strongly correlated with observational effect estimates, suggesting that the broad associations seen between BMI and metabolite variation has a causal underpinning. Specific effects in previously unassessed postprandial and response states are detected, and these may likely mark novel life course risk exposures driven by regular nutrition.
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http://dx.doi.org/10.1016/j.ajcnut.2024.03.009 | DOI Listing |
Alzheimers Dement
September 2025
Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA.
Introduction: Mild cognitive impairment (MCI) represents a transitional stage between normal aging and dementia. We investigate associations among cardiovascular and metabolic disorders (hypertension, diabetes mellitus, and hyperlipidemia) and diagnosis (normal; amnestic [aMCI]; and non-amnestic [naMCI]).
Methods: Multinomial logistic regressions of participant data (N = 8737; age = 70.
Ren Fail
December 2025
Department of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China.
Background: Depression is a common mental disorder in hemodialysis patients. The present study aimed to identify subgroups of patients receiving hemodialysis based on depression and explore the influencing factors in a multicenter hemodialysis population in China.
Methods: A total of 1,090 hemodialysis patients (682 men, mean aged 61.
Obes Surg
September 2025
Department of General and Visceral Surgery, University Hospital Brandenburg an der Havel, Brandenburg an der Havel, Germany.
Background: Perioperative antibiotic prophylaxis (PAP) prior to laparoscopic gastric bypass surgery is still under debate due to a lack of high evidence. Thus, the study at hand aimed to find out whether this medication lowers the rate of postoperative complications or not.
Methods: In 2020, a retrospective analysis took place at Helios Hospital Berlin Buch, Germany.
Pflugers Arch
September 2025
Department of Science, University "G. d'Annunzio" Chieti-Pescara, Chieti, Italy.
Hypoxia has been extensively studied as a stressor which pushes human bodily systems to responses and adaptations. Nevertheless, a few evidence exist onto constituent trains of motor unit action potential, despite recent advancements which allow to decompose surface electromyographic signals. This study aimed to investigate motor unit properties from noninvasive approaches during maximal isometric exercise in normobaric hypoxia.
View Article and Find Full Text PDFInt J Obes (Lond)
September 2025
Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Aims And Background: Relative fat mass (RFM) is strongly associated with type 2 diabetes (T2DM) and has been shown to be a better predictor than body mass index (BMI) and waist circumference (WC). This study aims to investigate the association between RFM and incident T2DM among adults in the Tehran Lipid and Glucose Study cohort.
Methods: Data from 8419 participants (4716 women; mean age, 40.