Sarah Gao, Alden L Gross, Leon M Aksman, Masroor Anwar, Eileen M Crimmins, Sharmistha Dey, Abhishek Gupta, Bharat Thyagarajan, Jinkook Lee, Emma Nichols
{"title":"印度老年人生命过程中痴呆危险因素、血浆神经退行性生物标志物和认知之间的横断面关联","authors":"Sarah Gao, Alden L Gross, Leon M Aksman, Masroor Anwar, Eileen M Crimmins, Sharmistha Dey, Abhishek Gupta, Bharat Thyagarajan, Jinkook Lee, Emma Nichols","doi":"10.1101/2025.09.19.25336183","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Plasma neurodegenerative biomarkers are a potential low-cost tool for studying Alzheimer's disease and dementia in population-based research, especially in low- and middle-income countries (LMIC). However, their associations with modifiable risk factors and utility as an outcome in epidemiologic studies remain unclear.</p><p><strong>Objective: </strong>Our objective was to estimate the cross-sectional association between modifiable lifecourse risk factors for dementia and plasma-based neurodegenerative biomarkers, and to compare those with the associations between lifecourse risk factors and cognition in a population-representative Indian sample.</p><p><strong>Methods: </strong>Using nationally representative data from the Longitudinal Aging Study in India-Diagnostic Assessment of Dementia (N=1625, average age 68.2 years), we estimated linear regressions to compare cross-sectional associations between lifecourse risk factors and both neurodegenerative biomarkers (β-amyloid 42/40, total-tau, phosphorylated Tau181, GFAP, NfL) and cognitive outcomes (general cognition, memory).</p><p><strong>Results: </strong>Despite significant associations between seven of thirteen risk factors and cognitive outcomes, associations between risk factors and neurodegenerative biomarkers were largely null with some exceptions; for example, hypertension (β=0.17SD; 95% CI:0.08,0.26) and diabetes (β=0.21SD; 95% CI:0.09, 0.32) were associated with higher NfL.</p><p><strong>Conclusions: </strong>While we found expected associations between lifecourse risk factors for dementia and cognition, there was not strong evidence of cross-sectional associations between risk factors for dementia and plasma-based biomarkers.</p>","PeriodicalId":94281,"journal":{"name":"medRxiv : the preprint server for health sciences","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12458516/pdf/","citationCount":"0","resultStr":"{\"title\":\"Cross-sectional associations between lifecourse dementia risk factors, plasma neurodegenerative biomarkers, and cognition in older adults in India.\",\"authors\":\"Sarah Gao, Alden L Gross, Leon M Aksman, Masroor Anwar, Eileen M Crimmins, Sharmistha Dey, Abhishek Gupta, Bharat Thyagarajan, Jinkook Lee, Emma Nichols\",\"doi\":\"10.1101/2025.09.19.25336183\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Plasma neurodegenerative biomarkers are a potential low-cost tool for studying Alzheimer's disease and dementia in population-based research, especially in low- and middle-income countries (LMIC). However, their associations with modifiable risk factors and utility as an outcome in epidemiologic studies remain unclear.</p><p><strong>Objective: </strong>Our objective was to estimate the cross-sectional association between modifiable lifecourse risk factors for dementia and plasma-based neurodegenerative biomarkers, and to compare those with the associations between lifecourse risk factors and cognition in a population-representative Indian sample.</p><p><strong>Methods: </strong>Using nationally representative data from the Longitudinal Aging Study in India-Diagnostic Assessment of Dementia (N=1625, average age 68.2 years), we estimated linear regressions to compare cross-sectional associations between lifecourse risk factors and both neurodegenerative biomarkers (β-amyloid 42/40, total-tau, phosphorylated Tau181, GFAP, NfL) and cognitive outcomes (general cognition, memory).</p><p><strong>Results: </strong>Despite significant associations between seven of thirteen risk factors and cognitive outcomes, associations between risk factors and neurodegenerative biomarkers were largely null with some exceptions; for example, hypertension (β=0.17SD; 95% CI:0.08,0.26) and diabetes (β=0.21SD; 95% CI:0.09, 0.32) were associated with higher NfL.</p><p><strong>Conclusions: </strong>While we found expected associations between lifecourse risk factors for dementia and cognition, there was not strong evidence of cross-sectional associations between risk factors for dementia and plasma-based biomarkers.</p>\",\"PeriodicalId\":94281,\"journal\":{\"name\":\"medRxiv : the preprint server for health sciences\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12458516/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"medRxiv : the preprint server for health sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1101/2025.09.19.25336183\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv : the preprint server for health sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2025.09.19.25336183","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cross-sectional associations between lifecourse dementia risk factors, plasma neurodegenerative biomarkers, and cognition in older adults in India.
Background: Plasma neurodegenerative biomarkers are a potential low-cost tool for studying Alzheimer's disease and dementia in population-based research, especially in low- and middle-income countries (LMIC). However, their associations with modifiable risk factors and utility as an outcome in epidemiologic studies remain unclear.
Objective: Our objective was to estimate the cross-sectional association between modifiable lifecourse risk factors for dementia and plasma-based neurodegenerative biomarkers, and to compare those with the associations between lifecourse risk factors and cognition in a population-representative Indian sample.
Methods: Using nationally representative data from the Longitudinal Aging Study in India-Diagnostic Assessment of Dementia (N=1625, average age 68.2 years), we estimated linear regressions to compare cross-sectional associations between lifecourse risk factors and both neurodegenerative biomarkers (β-amyloid 42/40, total-tau, phosphorylated Tau181, GFAP, NfL) and cognitive outcomes (general cognition, memory).
Results: Despite significant associations between seven of thirteen risk factors and cognitive outcomes, associations between risk factors and neurodegenerative biomarkers were largely null with some exceptions; for example, hypertension (β=0.17SD; 95% CI:0.08,0.26) and diabetes (β=0.21SD; 95% CI:0.09, 0.32) were associated with higher NfL.
Conclusions: While we found expected associations between lifecourse risk factors for dementia and cognition, there was not strong evidence of cross-sectional associations between risk factors for dementia and plasma-based biomarkers.