| Literature DB >> 29896439 |
Ting Shen1, Yuyi You2, Chitra Joseph1, Mehdi Mirzaei3, Alexander Klistorner1,2, Stuart L Graham1,2, Vivek Gupta1.
Abstract
Brain-derived neurotrophic factor (BDNF) has a unique role in the neuronal development, differentiation, and survival in the developing and adult nervous system. A common single-nucleotide polymorphism in the pro-region of the human BDNF gene, resulting in a valine to methionine substitution (Val66Met), has been associated with the susceptibility, incidence, and clinical features of several neurodegenerative disorders. Much research has been dedicated to evaluating the effects of polymorphism in the past decade, and functional effects of this genetic variation. A better understanding of how this naturally occurring polymorphism associates with or influences physiology, anatomy, and cognition in both healthy and diseased adults in neurodegenerative conditions will help understand neurochemical mechanisms and definable clinical outcomes in humans. Here we review the role and relevance of the BDNF Val66Met polymorphism in neurodegenerative diseases, with particular emphasis on glaucoma, multiple sclerosis (MS), Alzheimer's disease (AD) and Parkinson's disease (PD). Several controversies and unresolved issues, including small effect sizes, possible ethnicity, gender, and age effects of the BDNF Val66Met are also discussed with respect to future research.Entities:
Keywords: Alzheimer’s disease; BDNF; glaucoma; multiple sclerosis; neurodegenerative diseases; polymorphism
Year: 2018 PMID: 29896439 PMCID: PMC5988606 DOI: 10.14336/AD.2017.0717
Source DB: PubMed Journal: Aging Dis ISSN: 2152-5250 Impact factor: 6.745
Allele and genotype distributions for the Val66Met polymorphism of Brain-derived neurotrophic factor (BDNF) in healthy subjects in different ethnicity.
| Ethnicity | Cohort | Total N | Reference | Allele frequency | Genotype | |||
|---|---|---|---|---|---|---|---|---|
| A (Met) % | G (Val) % | A/A (Met/Met) % | G/A (Val/Met) % | G/G (Val/Val) % | ||||
| Asian | Korea | 244 | Pivac et al. 2009 | 46.3 | 53.7 | 23.4 | 45.9 | 30.7 |
| Japan | 657 | Fukumoto et al. 2009 | 39.0 | 61.0 | 15.0 | 47.0 | 38.0 | |
| Japan | 275 | Nishimura et al. 2009 | 42.5 | 57.5 | 17.1 | 50.9 | 32.0 | |
| China | 239 | Bian et al. 2005 | 45.4 | 54.6 | 21.3 | 48.1 | 30.5 | |
| Japan | 471 | Matsushita et al. 2005 | 44.5 | 55.5 | 20.8 | 47.4 | 31.9 | |
| Japan | 151 | Itoh et al. 2003 | 41.1 | 58.9 | 15.9 | 50.3 | 33.8 | |
| Caucasian | Romania | 1124 | Vulturar et al. 2016 | 19.3 | 80.7 | 4.0 | 30.5 | 65.5 |
| Poland | 193 | Nowak et al. 2014 | 15.0 | 85.0 | 1.0 | 30.0 | 69.0 | |
| Croatia | 556 | Pivac et al. 2009 | 19.5 | 80.5 | 3.4 | 32.4 | 64.2 | |
| Italy | 233 | Guerini et al. 2009 | 20.6 | 79.4 | 4.3 | 32.6 | 63.1 | |
| Italy | 37 | Liguori et al. 2009 | 17.6 | 82.4 | 2.7 | 29.7 | 67.6 | |
| USA | 250 | Zhang et al. 2006 | 18.8 | 81.2 | 4.0 | 29.6 | 66.4 | |
| Finland | 920 | Vepsalainen et al. 2005 | 13.0 | 87.0 | 2.0 | 24.0 | 75.0 | |
| USA | 194 | Bodner et al. 2005 | 19.0 | 81.0 | 3.0 | 32.2 | 64.7 | |
| USA | 392 | Parsian et al. 2004 | 28.0 | 72.0 | 2.0 | 53.0 | 45.0 | |
| Spain | 218 | Combarros et al. 2004 | 19.0 | 81.0 | 3.7 | 30.7 | 65.6 | |
| USA | 133 | Egan et al. 2003 | 18.0 | 82.0 | 4.5 | 27.1 | 68.4 | |
| Italy | 111 | Ventriglia et al. 2001 | 29.7 | 70.3 | 8.1 | 43.2 | 48.7 | |