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The Influence of Val66Met Polymorphism in Brain-Derived Neurotrophic Factor on Stroke Recovery Outcome: A Systematic Review and Meta-analysis.
Liu, X, Fang, JC, Zhi, XY, Yan, QY, Zhu, H, Xie, J
Neurorehabilitation and neural repair. 2021;(6):550-560
Abstract
Background and purpose. A single nucleotide polymorphism at nucleotide 196 (G/A) in the human brain-derived neurotrophic factor (BDNF) gene produces an amino acid substitution (valine to methionine) at codon 66(Val66Met). It is unclear whether carriers of this substitution may have worse functional outcomes after stroke. We aimed to explore the distribution of Val66Met polymorphism and evaluate the effect of different genotypes on stroke functional recovery. Methods. Several databases were searched using the keywords BDNF or brain-derived neurotrophic factor, codon66, G196A, rs6265, or Val66Met, and stroke. Results. A total of 25 articles were relevant to estimate the distribution of alleles; 5 reports were applied in the meta-analysis to assess genetic differences on recovery outcomes. The genetic model analysis showed that the recessive model should be used; we combined data for AA versus GA+GG (GG-Val/Val, GA-Val/Met, AA-Met/Met). The results showed that stroke patients with AA might have worse recovery outcomes than those with GA+GG (odds ratio = 1.90; 95% CI: 1.17-3.10; P = .010; I2 = 69.2%). Overall, the A allele may be more common in Asian patients (48.6%; 95% CI: 45.8%-51.4%, I2 = 54.2%) than Caucasian patients (29.8%; 95% CI: 7.5%-52.1%; I2 = 99.1%). However, in Caucasian patients, the frequency of the A allele in Iranians (87.9%; 95% CI: 83.4%-92.3%) was quite higher than that in other Caucasians (18.7%; 95% CI: 16.6%-20.9%; I2 = 0.00%). Conclusion. Val66Met AA carriers may have worse rehabilitation outcomes than GA+GG carriers. Further studies are needed to determine the effect of Val66Met polymorphism on stroke recovery and to evaluate this relationship with ethnicity, sex, age, stroke type, observe duration, stroke severity, injury location, and therapies.
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The role of physical exercise in modulating peripheral inflammatory and neurotrophic biomarkers in older adults: A systematic review and meta-analysis.
Titus, J, Bray, NW, Kamkar, N, Camicioli, R, Nagamatsu, LS, Speechley, M, Montero-Odasso, M
Mechanisms of ageing and development. 2021;:111431
Abstract
BACKGROUND Physiological cascades of neurotrophic factors and inflammatory cytokines may mediate the exercise-induced amelioration of cognition in older adults. However, there is limited understanding on how different exercise modalities improving cognition alter biomarkers. Our aim was to evaluate the effects of different exercise modalities on blood biomarker concentrations in cognitive clinical trials of older adults. METHODS A systematic review (SR) and meta-analysis (MA) were performed using the databases PubMed, EMBASE, and SCOPUS. After exclusions, 17 trials with 18 distinct exercise interventions were included. RESULTS Aerobic training increased (n = 2) or did not significantly change BDNF (n = 5), and resistance training increased (n = 2) or did not significantly change (n = 2) IGF-1. Multimodal training significantly increased (n = 1) or did not change (n = 3) BDNF. Interventions that recruited sex-specific cohorts showed an advantage in males for blood marker concentrations and cognitive performance outcomes (n = 3) compared to females (n = 3). Only one of three interventions decreased concentrations of CRP. Eight studies examining BDNF changes were suited for MA and showed that higher BDNF concentrations were reached post intervention, although not reaching statistical significance (p = .26, I2 = 44 %). DISCUSSION Our results suggest that exercise has potential to ameliorate cognitive decline in older adults with divergent, modality-specific, neurotrophic mechanisms.
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Meta-analytic method reveal a significant association of theBDNF Val66Met variant with smoking persistence based on a large samples.
Zhao, H, Xiong, S, Li, Z, Wu, X, Li, L
The pharmacogenomics journal. 2020;(3):398-407
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Abstract
Although numerous genetic studies have reported the link between Val66Met in BDNF gene with smoking, the findings remain controversial, mainly due to small-to-moderate sample sizes. The main aim of current investigation is to explore whether the variant of Val66Met has any genetic functions in the progress of smoking persistence. The Val-based dominant genetic model considering Val/* (namely, Val/Val + Val/Met) and Met/Met as two genotypes with comparison of the frequency of each genotype in current smokers and never smokers. There were seven genetic association articles including eight independent datasets with 10,160 participants were chosen in current meta-analytic investigation. In light of the potent effects of ethnicity on homogeneity across studies, we carried out separated meta-analyses according to the ancestry origin by using the wide-used tool of Comprehensive Meta-analysis software (V 2.0). Our meta-analyses results indicated that the Val66Met polymorphism was significantly linked with smoking persistence based on either all the chosen samples (N = 10,160; Random and fixed models: pooled OR = 1.23; 95% CI = 1.03-1.46; P value = 0.012) or Asian samples (N = 2,095; Fixed model: pooled OR = 1.25; 95% CI = 1.01-1.54; P value = 0.044; Random model: pooled OR = 1.25; 95% CI = 1.001-1.56; P value = 0.049). No significant clue of bias in publications or heterogeneity across studies was detected. Thus, we conclude that the Val66Met (rs6265) variant conveys genetic susceptibility to maintaining smoking, and smokers who carry Val/* genotypes have a higher possibility of maintaining smoking than those having Met/Met genotype.
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Association of Brain-derived neurotrophic factor gene polymorphisms with body mass index: A systematic review and meta-analysis.
Akbarian, SA, Salehi-Abargouei, A, Pourmasoumi, M, Kelishadi, R, Nikpour, P, Heidari-Beni, M
Advances in medical sciences. 2018;(1):43-56
Abstract
BACKGROUND Many studies with inconsistent results have assessed the association of Brain-derived neurotrophic factor (BDNF) gene polymorphisms with prevalence of obesity and overweight. This review aims to provide a summary of the literature evaluating the relation between BDNF genotype and body mass index (BMI). METHODS A systematic search through PubMed, Scopus, Science direct, Ovid and Cochrane was performed. We included observational studies with cross-sectional and case-control design, which investigated relationship between all kinds of BDNF polymorphisms with BMI, as a representative index of obesity and overweight. Newcastle-Ottawa Scale was used to assess the quality of included articles. RESULTS Thirty five studies were included in quantitative synthesis. Analyses were performed separately using OR, β coefficient and mean. Significant association were documented between rs925946 and BMI (OR=1.12, 95% CI=1.08-1.17, P heterogeneity=0.317), rs10501087 and BMI (OR=1.14, 95% CI=1.04-1.24, P heterogeneity=0.861), rs6265 and BMI (OR=1.13, 95% CI=1.07-1.19, P heterogeneity=0.406), rs988712 and BMI (OR=1.29, 95% CI=1.18-1.40, P heterogeneity=0.602). According to pooled β coefficient analysis, significant result was only observed in the rs925946 polymorphism subgroup. Pooled mean analysis showed that overall effects for the association between BDNF polymorphisms and BMI were not statistically significant. CONCLUSION This meta-analysis suggests that some polymorphisms in BDNF gene including rs925946, rs10501087, rs6265 and rs988712 can be considered as genetic determinants of obesity.