98%
921
2 minutes
20
Morphological features of the lateral prefrontal cortex (PFC) in late childhood and early adolescence may provide important clues as to the developmental etiology of clinical conditions such as obesity. Body composition measurements and structural brain imaging were performed on 11 226 youth at baseline (age 9 or 10 years) and follow-up (age 11 or 12 years). Baseline morphological features of the lateral PFC were examined as predictors of body composition. Findings revealed reliable associations between middle frontal gyrus volume, thickness and surface area and multiple indices of body composition. These findings were consistent across both time points and remained significant after covariate adjustment. Cortical thicknesses of the inferior frontal gyrus and lateral orbitofrontal cortex were also reliable predictors. Morphology effects on body composition were mediated by performance on a non-verbal reasoning task. Modest but reliable moderation effects were observed with respect to environmental self-regulatory demand after controlling for sex, race/ethnicity, income and methodological variables. Overall findings suggest that PFC morphology is a reliable predictor of body composition in early adolescence, as mediated through select cognitive functions and partially moderated by environmental characteristics.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11305164 | PMC |
http://dx.doi.org/10.1093/scan/nsab104 | DOI Listing |
Abdom Radiol (NY)
September 2025
Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, UK.
Objectives: The escalating global incidence of obesity, cardiometabolic disease and sarcopenia necessitates reliable body composition measurement tools. MRI-based assessment is the gold standard, with utility in both clinical and drug trial settings. This study aims to validate a new automated volumetric MRI method by comparing with manual ground truth, prior volumetric measurements, and against a new method for semi-automated single-slice area measurements.
View Article and Find Full Text PDFEur J Heart Fail
September 2025
Institute for Exercise and Environmental Medicine, Texas Health Presbyterian Hospital Dallas, Dallas, TX, USA.
Aims: Obesity is commonly hypothesized to lead to the development of heart failure (HF) in part due to increases in blood volume (BV) and left ventricular (LV) remodelling. Whether adiposity and obesity severity are associated with BV expansion and subsequent LV remodelling in middle-aged individuals at increased risk (IR) prior to the onset of HF is unknown.
Methods And Results: We analysed data from 96 middle-aged (40-64 years) non-obese (25.
Pediatr Pulmonol
September 2025
Department of Medicine, Division of Diabetes, Endocrinology and Metabolism, University of Minnesota, Minneapolis, Minnesota, USA.
Background: The approval of cystic fibrosis transmembrane conductance regulator modulators elexacaftor/tezacaftor/ivacaftor (ETI), has significantly improved pulmonary function for people with cystic fibrosis (pwCF). However, the effects on CF-related bone disease and body composition remain unclear.
Methods: This retrospective real-world study examined adults with CF who received ETI treatment.
Int J Environ Health Res
September 2025
Unidad Interinstitucional de Investigación Clínica y Epidemiológica, Facultad de Medicina, Universidad Autónoma de Yucatán, Mérida, México.
The human microbiota consists of millions of microorganisms, predominantly bacteria, that inhabit the body and form communities. Each human body site has a unique population that is specifically adapted to complement the metabolic functions of the environments in which they are present. These microbial communities begin to form at birth, with their primary establishment occurring during the early years of childhood and persisting in adulthood.
View Article and Find Full Text PDFJ Obes
September 2025
School of Natural Sciences, University of Lincoln, Lincoln, UK.
To investigate the genetic determinants of fat distribution across anatomical sites and their implications for health outcomes. We analyzed neck-to-knee MRI data from the UK Biobank ( = 37,589) to measure fat at various locations and used Mendelian randomization to assess effects on 26 obesity-related diseases and 94 biomarkers from FinnGen and other consortia. We identified genetic loci associated with 10 fat depots: abdominal subcutaneous adipose tissue ( = 2 loci), thigh subcutaneous adipose tissue (25), thigh intermuscular adipose tissue (15), visceral adipose tissue (7), liver proton density fat fraction (PDFF) (8), pancreas PDFF (11), paraspinal adipose tissue (9), pelvic bone marrow fat (28), thigh bone marrow fat (27), and vertebrae bone marrow fat (5).
View Article and Find Full Text PDF