French Margaret A, Morton Susanne M, Pohlig Ryan T, Reisman Darcy S
a Department of Physical Therapy, College of Health Sciences , University of Delaware , Newark , DE , USA.
b Biomechanics and Movement Science Program, College of Health Sciences , University of Delaware , Newark , DE , USA.
Top Stroke Rehabil. 2018 May;25(4):276-280. doi: 10.1080/10749357.2018.1437938. Epub 2018 Feb 25.
Background A single nucleotide polymorphism, Val66Met, in the Brain Derived Neurotrophic Factor (BDNF) gene has been studied for its role in recovery following stroke. Despite this work, the role of BDNF genotype on long-term recovery is unclear. Additionally, no study has examined its impact on functional mobility. As a result, the purpose of this study was to examine the relationship between BDNF genotype and functional mobility in chronic stroke survivors by first accounting for factors related to the Val66Met polymorphism and post-stroke recovery. Methods Participants 6 months post-stroke completed the Fugl-Meyer Lower Extremity Assessment (FMLE), Yesavage Geriatric Depression Scale (YGDS), 10 meter walk test (SSWS), and BDNF genotype testing. A regression model was used to determine if including genotype (Val or Met) and the genotype's interactions with age, gender, and depression increased the model's fit in predicting functional mobility, as measured by SSWS, after accounting for physical impairment (FMLE) and personal information (age, gender, and YGDS). Results Sixty-three subjects, twenty-two percent of whom had at least one Met allele, were included. Impairment and personal information significantly predicted SSWS (R = 0.268, p < 0.001 and ΔR = 0.158, p = 0.002, respectively). The addition of genotype and genotype's interactions did not significantly increase the variance accounted for in SSWS (ΔR = 0.012, p = 0.27, and ΔR = 0.006, p = 0.723, respectively). Conclusions Our results suggest that the Val66Met polymorphism does not predict long-term, functional mobility following stroke. This difference may be due to differences in model variables or a reduced impact of the polymorphism as recovery progresses.
脑源性神经营养因子（BDNF）基因中的单核苷酸多态性Val66Met在中风后的恢复过程中的作用已得到研究。尽管有这些研究，但BDNF基因型在长期恢复中的作用仍不明确。此外，尚无研究考察其对功能移动性的影响。因此，本研究的目的是通过首先考虑与Val66Met多态性和中风后恢复相关的因素，来探讨慢性中风幸存者中BDNF基因型与功能移动性之间的关系。方法：中风后6个月的参与者完成了Fugl-Meyer下肢评估（FMLE）、Yesavage老年抑郁量表（YGDS）、10米步行测试（SSWS）和BDNF基因型检测。在考虑了身体损伤（FMLE）和个人信息（年龄、性别和YGDS）之后，使用回归模型来确定纳入基因型（Val或Met）及其与年龄、性别和抑郁的相互作用是否能提高模型在预测功能移动性（以SSWS衡量）方面的拟合度。结果：纳入了63名受试者，其中22%至少有一个Met等位基因。损伤和个人信息显著预测了SSWS（R = 0.268，p < 0.001和ΔR = 0.158，p = 0.002）。添加基因型及其相互作用并没有显著增加SSWS中可解释的方差（ΔR = 0.012，p = 0.27，和ΔR = 0.006，p = 0.723）。结论：我们的结果表明，Val66Met多态性不能预测中风后的长期功能移动性。这种差异可能是由于模型变量的差异或随着恢复进展多态性影响的降低。
