| Literature DB >> 32009534 |
Zhenxiang Han1,2, Lili Qi3, Qinfeng Xu4, Mingzhu Xu1,5, Lei Cai6, John Wong7, Xinjia Hu1,8, Xun Luo9,10, Jiening Wang2, Yuling Zhang1,11, Yapeng Li4, Qing Mei Wang1,12.
Abstract
Background and purpose. The identification of a genetic role for cognitive outcome could influence the design of individualized treatment in poststroke rehabilitation. The aim of this study is to determine whether brain-derived neurotrophic factor (BDNF) Val66Met polymorphism is independently associated with poststroke functional outcome. Methods. A total of 775 stroke patients with genomic data were identified from the Partners HealthCare Biobank, which contains a large number of genotypes from Biobank's consented patients. Of 775 stroke patients who met the inclusion/exclusion criteria, 86 were enrolled. Functional outcomes were assessed using the Functional Independence Measure scores at the time of admission and discharge. Logistic and linear regression models adjusted for covariate variables, including age, sex, and medical conditions, were used to evaluate the association between BDNF Val66Met and functional outcome. Results. We detected a significant correlation between Met alleles and lower cognitive function at discharge in both ischemic and hemorrhagic stroke patients. Genotyping findings confirmed that BDNF Met allele frequency was higher in contrast to Val/Val allele frequency in lower cognitive functional recovery. Furthermore, after adjusting for covariate variables, BDNF Met alleles were found to be associated with lower cognitive outcome [P = .003; odds ratio (OR) = 5.95 (1.81-19.52)] and recovery [P = .006; OR = 3.16 (1.4-7.15)], especially with lower problem solving, expression, and social recovery in all stroke patients. Conclusions. Met allele carriers exhibited impaired poststroke cognitive function. The BDNF genotype may be a useful predictor of cognitive function in inpatient poststroke rehabilitation.Entities:
Keywords: alleles; brain-derived neurotrophic factor; cognitive function; genotype; poststroke
Year: 2020 PMID: 32009534 DOI: 10.1177/1545968320902127
Source DB: PubMed Journal: Neurorehabil Neural Repair ISSN: 1545-9683 Impact factor: 3.919