Ya-Hui Ma1, Ya-Yu Wang2, Lan Tan1, Wei Xu1, Xue-Ning Shen3, Hui-Fu Wang1, Xiao-He Hou2, Xi-Peng Cao4, Yan-Lin Bi5, Qiang Dong3, Jiu-Long Yang6, Jin-Tai Yu3. 1. Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China. 2. Department of Neurology, Qingdao Municipal Hospital, Dalian Medical University, Dalian, China. 3. Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China. 4. Clinical Research Center, Qingdao Municipal Hospital, Qingdao University, Qingdao, China. 5. Department of Anesthesiology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China. 6. Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
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.
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.
Entities:
Keywords:
Alzheimer’s disease; biomarkers; cerebrospinal fluid; lifestyle; social network