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Potential unfavorable impacts of BDNF Val66Met polymorphisms on metabolic risks in average population in a longevous area

BACKGROUND: Brain-derived neurotrophic factor (BDNF) has been implicated in cognitive performance and the modulation of several metabolic parameters in some disease models, but its potential roles in successful aging remain unclear. We herein sought to define the putative correlation between BDNF Va...

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Autores principales: Peng, Jun-Hua, Liu, Cheng-Wu, Pan, Shang-Ling, Wu, Hua-Yu, Liang, Qing-Hua, Gan, Rui-Jing, Huang, Ling, Ding, Yi, Bian, Zhang-Ya, Huang, Hao, Lv, Ze-Ping, Zhou, Xiao-Ling, Yin, Rui-Xing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5217242/
https://www.ncbi.nlm.nih.gov/pubmed/28056856
http://dx.doi.org/10.1186/s12877-016-0393-0
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author Peng, Jun-Hua
Liu, Cheng-Wu
Pan, Shang-Ling
Wu, Hua-Yu
Liang, Qing-Hua
Gan, Rui-Jing
Huang, Ling
Ding, Yi
Bian, Zhang-Ya
Huang, Hao
Lv, Ze-Ping
Zhou, Xiao-Ling
Yin, Rui-Xing
author_facet Peng, Jun-Hua
Liu, Cheng-Wu
Pan, Shang-Ling
Wu, Hua-Yu
Liang, Qing-Hua
Gan, Rui-Jing
Huang, Ling
Ding, Yi
Bian, Zhang-Ya
Huang, Hao
Lv, Ze-Ping
Zhou, Xiao-Ling
Yin, Rui-Xing
author_sort Peng, Jun-Hua
collection PubMed
description BACKGROUND: Brain-derived neurotrophic factor (BDNF) has been implicated in cognitive performance and the modulation of several metabolic parameters in some disease models, but its potential roles in successful aging remain unclear. We herein sought to define the putative correlation between BDNF Val66Met and several metabolic risk factors including BMI, blood pressure, fasting plasma glucose (FPG) and lipid levels in a long-lived population inhabiting Hongshui River Basin in Guangxi. METHODS: BDNF Val66Met was typed by ARMS-PCR for 487 Zhuang long-lived individuals (age ≥ 90, long-lived group, LG), 593 of their offspring (age 60–77, offspring group, OG) and 582 ethnic-matched healthy controls (aged 60–75, control group, CG) from Hongshui River Basin. The correlations of genotypes with metabolic risks were then determined. RESULTS: As a result, no statistical difference was observed on the distribution of allelic and genotypic frequencies of BDNF Val66Met among the three groups (all P > 0.05) except that AA genotype was dramatically higher in females than in males of CG. The HDL-C level of A allele (GA/AA genotype) carriers was profoundly lower than was non-A (GG genotype) carriers in the total population and the CG (P = 0.009 and 0.006, respectively), which maintained in females, hyperglycemic and normolipidemic subgroup of CG after stratification by gender, BMI, glucose and lipid status. Furthermore, allele A carriers, with a higher systolic blood pressure, exhibited 1.63 folds higher risk than non-A carriers to be overweight in CG (OR = 1.63, 95% CI: 1.05 - 2.55, P = 0.012). Multiple regression analysis displayed that the TC level of LG reversely associated with BDNF Val66Met genotype. CONCLUSIONS: These data suggested that BDNF 66Met may play unfavorable roles in blood pressure and lipid profiles in the general population in Hongshui River area which might in part underscore their poorer survivorship versus the successful aging individuals and their offspring. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12877-016-0393-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-52172422017-01-09 Potential unfavorable impacts of BDNF Val66Met polymorphisms on metabolic risks in average population in a longevous area Peng, Jun-Hua Liu, Cheng-Wu Pan, Shang-Ling Wu, Hua-Yu Liang, Qing-Hua Gan, Rui-Jing Huang, Ling Ding, Yi Bian, Zhang-Ya Huang, Hao Lv, Ze-Ping Zhou, Xiao-Ling Yin, Rui-Xing BMC Geriatr Research Article BACKGROUND: Brain-derived neurotrophic factor (BDNF) has been implicated in cognitive performance and the modulation of several metabolic parameters in some disease models, but its potential roles in successful aging remain unclear. We herein sought to define the putative correlation between BDNF Val66Met and several metabolic risk factors including BMI, blood pressure, fasting plasma glucose (FPG) and lipid levels in a long-lived population inhabiting Hongshui River Basin in Guangxi. METHODS: BDNF Val66Met was typed by ARMS-PCR for 487 Zhuang long-lived individuals (age ≥ 90, long-lived group, LG), 593 of their offspring (age 60–77, offspring group, OG) and 582 ethnic-matched healthy controls (aged 60–75, control group, CG) from Hongshui River Basin. The correlations of genotypes with metabolic risks were then determined. RESULTS: As a result, no statistical difference was observed on the distribution of allelic and genotypic frequencies of BDNF Val66Met among the three groups (all P > 0.05) except that AA genotype was dramatically higher in females than in males of CG. The HDL-C level of A allele (GA/AA genotype) carriers was profoundly lower than was non-A (GG genotype) carriers in the total population and the CG (P = 0.009 and 0.006, respectively), which maintained in females, hyperglycemic and normolipidemic subgroup of CG after stratification by gender, BMI, glucose and lipid status. Furthermore, allele A carriers, with a higher systolic blood pressure, exhibited 1.63 folds higher risk than non-A carriers to be overweight in CG (OR = 1.63, 95% CI: 1.05 - 2.55, P = 0.012). Multiple regression analysis displayed that the TC level of LG reversely associated with BDNF Val66Met genotype. CONCLUSIONS: These data suggested that BDNF 66Met may play unfavorable roles in blood pressure and lipid profiles in the general population in Hongshui River area which might in part underscore their poorer survivorship versus the successful aging individuals and their offspring. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12877-016-0393-0) contains supplementary material, which is available to authorized users. BioMed Central 2017-01-05 /pmc/articles/PMC5217242/ /pubmed/28056856 http://dx.doi.org/10.1186/s12877-016-0393-0 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Peng, Jun-Hua
Liu, Cheng-Wu
Pan, Shang-Ling
Wu, Hua-Yu
Liang, Qing-Hua
Gan, Rui-Jing
Huang, Ling
Ding, Yi
Bian, Zhang-Ya
Huang, Hao
Lv, Ze-Ping
Zhou, Xiao-Ling
Yin, Rui-Xing
Potential unfavorable impacts of BDNF Val66Met polymorphisms on metabolic risks in average population in a longevous area
title Potential unfavorable impacts of BDNF Val66Met polymorphisms on metabolic risks in average population in a longevous area
title_full Potential unfavorable impacts of BDNF Val66Met polymorphisms on metabolic risks in average population in a longevous area
title_fullStr Potential unfavorable impacts of BDNF Val66Met polymorphisms on metabolic risks in average population in a longevous area
title_full_unstemmed Potential unfavorable impacts of BDNF Val66Met polymorphisms on metabolic risks in average population in a longevous area
title_short Potential unfavorable impacts of BDNF Val66Met polymorphisms on metabolic risks in average population in a longevous area
title_sort potential unfavorable impacts of bdnf val66met polymorphisms on metabolic risks in average population in a longevous area
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5217242/
https://www.ncbi.nlm.nih.gov/pubmed/28056856
http://dx.doi.org/10.1186/s12877-016-0393-0
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