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      Association of weight range with telomere length: A retrospective cohort study

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          Abstract

          Objective

          Previous research has shown a significant association between weight and telomere length, but did not take into consideration weight range. The study was to investigate the association of weight range with telomere length.

          Methods

          Data of 2918 eligible participants aged 25-84 years from the National Health and Nutrition Examination Survey (NHANES) 1999-2000 cycle were analyzed. Information about demographic variables, lifestyle factors, anthropometric variables, and medical comorbidities were included. Univariate and multivariate linear regression model with adjustments for potential confounders were employed to determine the association between weight range and telomere length. A non-parametrically restricted cubic spline model was used to illustrate the possible non-linear relationship.

          Results

          In univariate linear regression, BMI max, BMI range, and weight range all revealed significant negative associations with telomere length. However, annual rate of BMI/weight range showed a significant positive associations with telomere length. There was no significant association between telomere length and BMI min. After adjusting for potential confounders, the inverse associations persisted in BMI max (β=-0.003, P<0.001), BMI range (β=-0.002, P=0.003), and weight range (β=-0.001, P=0.001). Furthermore, annual rate of BMI range (β=-0.026, P=0.009) and weight range (β=-0.010, P=0.007) presented negative associations with telomere length, after adjusting for covariates in Model 2-4. The association between BMI min (β =-0.002, P=0.237) and telomere length still could not reach statistical significance in multivariate linear regression model. The results of restricted cubic spline analysis showed that BMI max (P for nonlinear =0.026), BMI range (P for nonlinear =0.022), weight range (P for nonlinear =0.035), annual rate of BMI range (P for nonlinear =0.030), and annual rate of weight range (P for nonlinear =0.027) all had nonlinear inverse associations with telomere length.

          Conclusions

          The study suggests that weight range is inversely associated with telomere length in U.S. adults. Larger weight fluctuation may accelerate telomere shortening and aging.

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          Most cited references38

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          Increased oxidative stress in obesity and its impact on metabolic syndrome.

          Obesity is a principal causative factor in the development of metabolic syndrome. Here we report that increased oxidative stress in accumulated fat is an important pathogenic mechanism of obesity-associated metabolic syndrome. Fat accumulation correlated with systemic oxidative stress in humans and mice. Production of ROS increased selectively in adipose tissue of obese mice, accompanied by augmented expression of NADPH oxidase and decreased expression of antioxidative enzymes. In cultured adipocytes, elevated levels of fatty acids increased oxidative stress via NADPH oxidase activation, and oxidative stress caused dysregulated production of adipocytokines (fat-derived hormones), including adiponectin, plasminogen activator inhibitor-1, IL-6, and monocyte chemotactic protein-1. Finally, in obese mice, treatment with NADPH oxidase inhibitor reduced ROS production in adipose tissue, attenuated the dysregulation of adipocytokines, and improved diabetes, hyperlipidemia, and hepatic steatosis. Collectively, our results suggest that increased oxidative stress in accumulated fat is an early instigator of metabolic syndrome and that the redox state in adipose tissue is a potentially useful therapeutic target for obesity-associated metabolic syndrome.
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            Prevalence of Obesity and Severe Obesity Among Adults: United States, 2017-2018.

            Obesity is associated with serious health risks (1). Severe obesity further increases the risk of obesity-related complications, such as coronary heart disease and end-stage renal disease (2,3). From 1999-2000 through 2015-2016, a significantly increasing trend in obesity was observed (4). This report provides the most recent national data for 2017-2018 on obesity and severe obesity prevalence among adults by sex, age, and race and Hispanic origin. Trends from 1999-2000 through 2017-2018 for adults aged 20 and over are also presented.
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              The obesity-associated FTO gene encodes a 2-oxoglutarate-dependent nucleic acid demethylase.

              Variants in the FTO (fat mass and obesity associated) gene are associated with increased body mass index in humans. Here, we show by bioinformatics analysis that FTO shares sequence motifs with Fe(II)- and 2-oxoglutarate-dependent oxygenases. We find that recombinant murine Fto catalyzes the Fe(II)- and 2OG-dependent demethylation of 3-methylthymine in single-stranded DNA, with concomitant production of succinate, formaldehyde, and carbon dioxide. Consistent with a potential role in nucleic acid demethylation, Fto localizes to the nucleus in transfected cells. Studies of wild-type mice indicate that Fto messenger RNA (mRNA) is most abundant in the brain, particularly in hypothalamic nuclei governing energy balance, and that Fto mRNA levels in the arcuate nucleus are regulated by feeding and fasting. Studies can now be directed toward determining the physiologically relevant FTO substrate and how nucleic acid methylation status is linked to increased fat mass.
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                Author and article information

                Contributors
                Journal
                Front Endocrinol (Lausanne)
                Front Endocrinol (Lausanne)
                Front. Endocrinol.
                Frontiers in Endocrinology
                Frontiers Media S.A.
                1664-2392
                11 April 2023
                2023
                : 14
                : 1106283
                Affiliations
                [1] 1 Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University , Nanjing, China
                [2] 2 Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University , Nanjing, China
                [3] 3 School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine , Nanjing, China
                [4] 4 Department of Respiratory and Critical Care Medicine, The Affiliated Jiangsu Shengze Hospital of Nanjing Medical University , Suzhou, China
                Author notes

                Edited by: Omar Ramos-Lopez, Universidad Autónoma de Baja California, Tijuana, Mexico

                Reviewed by: Angelica Amato, University of Brasilia, Brazil; Manar Ahmed Kamal, Benha University, Egypt

                *Correspondence: Xu Qi, qixunjmu@ 123456163.com ; Yu Li, qixuly@ 123456163.com

                †These authors have contributed equally to this work and share first authorship

                This article was submitted to Obesity, a section of the journal Frontiers in Endocrinology

                Article
                10.3389/fendo.2023.1106283
                10126401
                37113487
                fe22735a-7b2a-453e-a886-110506704d25
                Copyright © 2023 Wang, Wen, Qu, Gu, Zhang, Li and Qi

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 23 November 2022
                : 28 March 2023
                Page count
                Figures: 2, Tables: 2, Equations: 0, References: 40, Pages: 9, Words: 4827
                Funding
                This work was sponsored by the General Project of Jiangsu Provincial Health Commission (No. H2019029), the Jiangsu Province Six One Project (No. LGY2018054), the “Six talent peaks” high-level talents level B (No. WSN-015), and the 333 High-level personnel Training Program.
                Categories
                Endocrinology
                Original Research

                Endocrinology & Diabetes
                weight range,telomere length,aging,metabolic dysregulation,obesity,nhanes
                Endocrinology & Diabetes
                weight range, telomere length, aging, metabolic dysregulation, obesity, nhanes

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