Social Networks and Cerebrospinal Fluid Biomarkers of Alzheimer's Disease Pathology in Cognitively Intact Older Adults: The CABLE Study.

Abstract

BACKGROUND:

Although social networks are deemed as moderators of incident Alzheimer's disease (AD), few data are available on the mechanism relevant to AD pathology.

OBJECTIVE:

We aimed to investigate whether social networks affect metabolism of cerebrospinal fluid (CSF) AD biomarkers during early stage and identify modification effects of genetic factor and subjective cognitive decline (SCD).

METHODS:

We studied participants from the Chinese Alzheimer's disease Biomarker and Lifestyle (CABLE) database who received cognition assessments and CSF amyloid-β (Aβ1-42 and Aβ1-40) and tau proteins (total-tau [T-tau] and phosphorylated-tau [P-tau]) measurements. The social networks were measured using self-reported questionnaires about social ties. Linear regression models were used.

RESULTS:

Data were analyzed from 886 cognitively intact individuals aged 61.91 years (SD = 10.51), including 295 preclinical AD participants and 591 healthy controls. Social networks were mostly associated with CSF indicators of AD multi-pathologies (low P-tau/Aβ1-42 and T-tau/Aβ1-42 and high Aβ1-42/Aβ1-40). Significant differences of genetic and cognitive status were observed for CSF indicators, in which associations of social network scores with CSF P-tau and indicators of multi-pathologies appeared stronger in APOE 4 carriers (versus non-carriers) and participants with SCD (versus controls), respectively. Alternatively, more pronounced associations for CSF T-tau (β= -0.005, p < 0.001), Aβ1-42/Aβ1-40 (β= 0.481, p = 0.001), and T-tau/Aβ1-42 (β= -0.047, p < 0.001) were noted in preclinical AD stage than controls.

CONCLUSION:

These findings consolidated strong links between social networks and AD risks. Social networks as a modifiable lifestyle probably affected metabolisms of multiple AD pathologies, especially among at-risk populations.

• Authors: Ya-Hui Ma, Ya-Yu Wang, Lan Tan, Wei Xu, Xue-Ning Shen, Hui-Fu Wang, Xiao-He Hou, Xi-Peng Cao, Yan-Lin Bi, Qiang Dong, Jiu-Long Yang, Jin-Tai Yu
• Journal: Journal of Alzheimer's disease : JAD (J Alzheimers Dis) Vol. 81 Issue 1 Pg. 263-272 ( 2021) ISSN: 1875-8908 [Electronic] Netherlands
• PMID: 33749650 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)

Chemical References

• Amyloid beta-Peptides
• Biomarkers
• Peptide Fragments
• amyloid beta-protein (1-42)
• tau Proteins

Topics

• Aged
• Alzheimer Disease (cerebrospinal fluid, psychology)
• Amyloid beta-Peptides (cerebrospinal fluid)
• Biomarkers (cerebrospinal fluid)
• Cognition (physiology)
• Female
• Humans
• Life Style
• Male
• Middle Aged
• Peptide Fragments (cerebrospinal fluid)
• Phosphorylation
• Risk Factors
• Social Networking
• tau Proteins (cerebrospinal fluid)