4.6 Article

Association of plasma brain-derived neurotrophic factor with Alzheimer's disease and its influencing factors in Chinese elderly population

期刊

FRONTIERS IN AGING NEUROSCIENCE
卷 14, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fnagi.2022.987244

关键词

Alzheimer's disease; biomarker; BDNF; influencing factors; elderly population

资金

  1. Social Development Key Projects in Jiangsu Province
  2. National Natural Science Foundation of China
  3. Wuxi Municipal Health Commission
  4. Wuxi Taihu Talent Project
  5. Wuxi Medical Development Discipline Project
  6. [BE2015615]
  7. [82104244]
  8. [Q202101]
  9. [WXTTP2020008]
  10. [WXTTP2021]
  11. [FZXK2021012]

向作者/读者索取更多资源

This study investigates the association between plasma BDNF levels and Alzheimer's disease, as well as its influencing factors. The results show significant differences in BDNF levels among different patient groups and its correlation with cognitive impairment and clinical diagnosis. Age, education, occupation, and sample source also have an impact on BDNF levels.
ObjectiveTo explore the association of plasma brain-derived neurotrophic factor (BDNF) levels with Alzheimer's disease and its influencing factors. Materials and methodsA total of 1,615 participants were included in the present study. Among all subjects, 660 were cognitive normal controls (CNCs), 571 were mild cognitive impairment (MCI) patients, and 384 were dementia with Alzheimer's type (DAT) patients. BDNF in blood samples collected from these subjects was analyzed via the Luminex assay. Additionally, DNA extraction and APOE4 genotyping were performed on leukocytes using a blood genotyping DNA extraction kit. All data were processed with SPSS 20.0 software. Analysis of variance (ANOVA) or analysis of covariance (ANCOVA) was used to compare differences among groups on plasma BDNF. Pearson and Spearman correlation analysis examined the correlation between BDNF and cognitive impairment, and linear regression analysis examined the comprehensive effects of diagnosis, gender, age, education, and sample source on BDNF. ResultsBDNF levels in DAT patients were higher than those in CNC and MCI patients (P < 0.01). BDNF levels were significantly correlated with CDR, MMSE, and clinical diagnosis (P < 0.001). Age, education, occupation, and sample source had significant effects on BDNF differences among the CNC, MCI, and DAT groups (P < 0.001). BDNF first decreased and then increased with cognitive impairment in the ApoE4-negative group (P < 0.05). ConclusionPlasma BDNF levels decreased in the MCI stage and increased in the dementia stage and were affected by age, education, occupation, and sample source. Unless the effects of sample heterogeneity and methodological differences can be excluded, plasma BDNF is difficult to become a biomarker for the early screening and diagnosis of AD.

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