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Potential unfavorable impacts of BDNF Val66Met polymorphisms on metabolic risks in average population in a longevous area.
BMC Geriatr 2017; 17(1):4BG

Abstract

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.

Authors+Show Affiliations

Department of Pathophysiology, Guangxi Medical University, 22 Shuangyong Road, Nanning, 530021, Guangxi, China. Guangxi Colleges and Universities Key Laboratory of Human Development and Disease Research, 22 Shuangyong Road, Nanning, 530021, Guangxi, China.Department of Pathophysiology, Guangxi Medical University, 22 Shuangyong Road, Nanning, 530021, Guangxi, China. Guangxi Colleges and Universities Key Laboratory of Human Development and Disease Research, 22 Shuangyong Road, Nanning, 530021, Guangxi, China.Department of Pathophysiology, Guangxi Medical University, 22 Shuangyong Road, Nanning, 530021, Guangxi, China. slpan@gxmu.edu.cn. Guangxi Colleges and Universities Key Laboratory of Human Development and Disease Research, 22 Shuangyong Road, Nanning, 530021, Guangxi, China. slpan@gxmu.edu.cn.Department of Pathophysiology, Guangxi Medical University, 22 Shuangyong Road, Nanning, 530021, Guangxi, China.Department of Neurology, Jiangbin Hospital of Guangxi Zhuang Autonomous Region, 85 Hedi Road, Nanning, 530021, Guangxi, China.Department of Pathophysiology, Guangxi Medical University, 22 Shuangyong Road, Nanning, 530021, Guangxi, China.Department of Pathophysiology, Guangxi Medical University, 22 Shuangyong Road, Nanning, 530021, Guangxi, China.Department of Pathophysiology, Guangxi Medical University, 22 Shuangyong Road, Nanning, 530021, Guangxi, China.Department of Pathophysiology, Guangxi Medical University, 22 Shuangyong Road, Nanning, 530021, Guangxi, China.Department of Pathophysiology, Guangxi Medical University, 22 Shuangyong Road, Nanning, 530021, Guangxi, China.Department of Neurology, Jiangbin Hospital of Guangxi Zhuang Autonomous Region, 85 Hedi Road, Nanning, 530021, Guangxi, China.Department of Pathophysiology, Guangxi Medical University, 22 Shuangyong Road, Nanning, 530021, Guangxi, China.Department of Cardiology, The First Affiliated Hospital of Guangxi Medical University, 22 Shuangyong Road, Nanning, 530021, Guangxi, China.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

28056856

Citation

Peng, Jun-Hua, et al. "Potential Unfavorable Impacts of BDNF Val66Met Polymorphisms On Metabolic Risks in Average Population in a Longevous Area." BMC Geriatrics, vol. 17, no. 1, 2017, p. 4.
Peng JH, Liu CW, Pan SL, et al. Potential unfavorable impacts of BDNF Val66Met polymorphisms on metabolic risks in average population in a longevous area. BMC Geriatr. 2017;17(1):4.
Peng, J. H., Liu, C. W., Pan, S. L., Wu, H. Y., Liang, Q. H., Gan, R. J., ... Yin, R. X. (2017). Potential unfavorable impacts of BDNF Val66Met polymorphisms on metabolic risks in average population in a longevous area. BMC Geriatrics, 17(1), p. 4. doi:10.1186/s12877-016-0393-0.
Peng JH, et al. Potential Unfavorable Impacts of BDNF Val66Met Polymorphisms On Metabolic Risks in Average Population in a Longevous Area. BMC Geriatr. 2017 01 5;17(1):4. PubMed PMID: 28056856.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Potential unfavorable impacts of BDNF Val66Met polymorphisms on metabolic risks in average population in a longevous area. AU - Peng,Jun-Hua, AU - Liu,Cheng-Wu, AU - Pan,Shang-Ling, AU - Wu,Hua-Yu, AU - Liang,Qing-Hua, AU - Gan,Rui-Jing, AU - Huang,Ling, AU - Ding,Yi, AU - Bian,Zhang-Ya, AU - Huang,Hao, AU - Lv,Ze-Ping, AU - Zhou,Xiao-Ling, AU - Yin,Rui-Xing, Y1 - 2017/01/05/ PY - 2016/07/08/received PY - 2016/12/08/accepted PY - 2017/1/7/entrez PY - 2017/1/7/pubmed PY - 2017/6/21/medline KW - BDNF gene KW - Correlation KW - Longevity KW - Metabolic risks KW - Polymorphism SP - 4 EP - 4 JF - BMC geriatrics JO - BMC Geriatr VL - 17 IS - 1 N2 - 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. SN - 1471-2318 UR - https://www.unboundmedicine.com/medline/citation/28056856/Potential_unfavorable_impacts_of_BDNF_Val66Met_polymorphisms_on_metabolic_risks_in_average_population_in_a_longevous_area_ L2 - https://bmcgeriatr.biomedcentral.com/articles/10.1186/s12877-016-0393-0 DB - PRIME DP - Unbound Medicine ER -