Several genes play a major role in obese phenotypes, and studies suggest that genetic variations among individuals, as well as their lifestyles, may bring about different body compositions. Among these genes, LEP, which codifies leptin, and the LEPR gene encoding its receptor were extensively studied for variants that could explain the obese phenotype. The LEPR p.Q223R gene polymorphism was analyzed in a sample of obese and nonobese individuals from Brazil to evaluate the role of this polymorphism in the obese phenotype in the population. Two hundred obese patients (60 males, 140 females, body mass index (BMI) >30 kg/m2) were screened, together with 150 lean or normal healthy individuals (63 males, 87 females, BMI <24 kg/m2). Genomic DNA was extracted and amplified by polymerase chain reaction (PCR). PCR products were digested with the restriction of endonuclease MspI, and separated by electrophoresis through an 8% polyacrilamide gel stained with silver nitrate. There was a significant difference in LEPR p.Q223R polymorphism frequency when comparing obese and lean subjects, with an odds ratio of 1.92 and a 95% confidence interval of 1.15-3.22 (P = 0.013). There is a strong association of the LEPR p.Q223R gene polymorphism with obesity in Brazil.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1002/ajhb.20519 | DOI Listing |
BMJ Open
January 2025
Public Health School, Jining Medical University, Jining, China
Objectives: To explore whether metabolically healthy overweight (MHOW) and/or metabolically healthy obesity (MHO) increase hyperglycaemia risk in a Chinese population with a broad age range.
Design: Retrospective cohort study.
Setting: Secondary analysis of data from the DATADRYAD database, comprising health check records of participants from 32 regions and 11 cities in China between 2010 and 2016.
Cad Saude Publica
January 2025
Universidade Estadual de Campinas, Campinas, Brasil.
This study aims to examine the prevalence of abdominal obesity-dynapenia phenotype, identified by the presence of abdominal obesity and dynapenia, and understand its associated factors with a representative sample of the Brazilian population. Data were collected from the baseline of the Brazilian Longitudinal Study of Aging (ELSI-Brasil) 2015-2016. Abdominal obesity was determined by a waist-to-height ratio ≥ 0.
View Article and Find Full Text PDFNiger Med J
January 2025
Department Of Medicine, College of Medicine, University of Lagos, Nigeria & Consultant Cardiologist, Lagos University Teaching Hospital, Lagos, Nigeria.
Background: The hypertriglyceridemic waist (HTGW) phenotype was introduced as a means of identifying individuals at risk of developing metabolic syndrome as well as cardiovascular diseases and diabetes. However, studies surrounding the prevalence of the phenotype and its relationship with established markers of cardiometabolic risk, especially in the Nigerian population, remain sparse. This study aimed to determine the prevalence of the HTGW phenotype and explore its relationship with cardiovascular risk markers, namely Castelli Risk Indices I and II (CRI-I and CRI-II), Atherogenic Index of Plasma (AIP) and serum triglyceride-HDL cholesterol ratio (TG/HDL).
View Article and Find Full Text PDFDiabetol Int
January 2025
Department of Endocrinology, Metabolism and Nephrology, Graduate School of Medicine, Nippon Medical School, 1-1-5 Sendagi, Bunkyo-Ku, Tokyo, 113-8603 Japan.
Type 2 diabetes (T2D) is a polygenic disease, and the development of animal models by selective breeding is crucial for understanding its etiology, pathophysiology, complications, and treatments. We recently developed a new T2D model, the Oikawa-Nagao (ON) mouse, by selectively breeding mice with inferior glucose tolerance [diabetes-prone (ON mouse DP®; ON-DP) strain] and superior glucose tolerance [diabetes-resistant (ON mouse DR®; ON-DR) strain] on a high-fat diet. ON-DP mice are predisposed to develop diabetes and obesity after being fed a high-fat diet, compared to ON-DR mice.
View Article and Find Full Text PDFInt J Obes (Lond)
January 2025
Department of Health, Kinesiology, and Applied Physiology, Concordia University, Montreal, QC, Canada.
Objective: Compared to adulthood-onset obesity (AO), those with childhood-onset obesity (CO) are at greater risk of metabolic disease. However, the differences between these two obesity phenotypes are not clear. The aim of this study is to investigate how the age of obesity onset (CO vs.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!