Kang Yu, Feng Zijuan, Zhang Qian, Liu Mingjing, Li Yanhua, Yang Huan, Zheng Lingling, Cheng Chunjiang, Zhou Weitao, Lou Dandan, Li Xiaoyong, Chen Liangping, Feng Yi, Duan Xiaoling, Duan Jianzhong, Yu Mengjiao, Yang Shou, Liu Yuhang, Wang Xin, Deng Bo, Liu Chenghui, Yao Xiuqing, Zhu Chi, Liang Chunrong, Zeng Xiaolong, Ren Sisi, Li Qunying, Zhong Yin, Yan Yong, Meng Huaqing, Zhong Zhaohui, Zhang Yong, Kang Jun, Luan Xiaoqian, Pan Sipei, Wu Yili, Li Tingyu, Song Weihong, Zhang Yun
Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China.
Townsend Family Laboratories, Department of Psychiatry, The University of British Columbia, Vancouver, British Columbia, Canada.
Alzheimers Dement. 2025 Feb;21(2):e14443. doi: 10.1002/alz.14443. Epub 2024 Dec 23.
This study aims to investigate the relationship between blood-based pathologies and established risk factors for cognitive decline in the community-based population of Chongqing, a region with significant aging.
A total of 26,554 residents aged 50 years and older were recruited. Multinomial logistic regression models were applied to assess the risk factors of cognition levels. Propensity score matching and linear mixed effects models were used to evaluate the relationship between key risk factors and the circulating biomarkers.
Shared and distinct risk factors for MCI and dementia were identified. Age, lower education, medical history of stroke, hypertension, and epilepsy influenced mild cognitive impairment (MCI) progression to dementia. Correlations between key risk factors and circulating neurofilament light chain (NfL), glial fibrillary acidic protein (GFAP), amyloid β protein (Aβ)40, and Aβ42/Aβ40 ratio suggest underlying mechanisms contributing to cognitive impairment.
The common and distinct risk factors across cognitive decline stages emphasize the need for tailored interventions. The correlations with blood biomarkers provide insights into potential management targets.
From a large community-based cohort study on the residents in Chongqing, we have identified that mild cognitive impairment (MCI) and dementia share several common risk factors, including age, female gender, rural living, lower education levels, and a medical history of stroke. However, each condition also has its own unique risk factors. Several factors contribute to the progression of MCI into dementia including age, education levels, occupation, and a medical history of hypertension and epilepsy. We discover the correlations between the risk factors for dementia and blood biomarkers that indicate the presence of axonal damage, glial activation, and Aβ pathology.
本研究旨在调查重庆这个老龄化严重地区的社区人群中,血液病理学与既定认知衰退风险因素之间的关系。
共招募了26554名50岁及以上的居民。应用多项逻辑回归模型评估认知水平的风险因素。采用倾向得分匹配法和线性混合效应模型评估关键风险因素与循环生物标志物之间的关系。
确定了轻度认知障碍(MCI)和痴呆症的共同及不同风险因素。年龄、低学历、中风病史、高血压和癫痫病史会影响轻度认知障碍(MCI)向痴呆症的进展。关键风险因素与循环神经丝轻链(NfL)、胶质纤维酸性蛋白(GFAP)、淀粉样β蛋白(Aβ)40以及Aβ42/Aβ40比值之间的相关性表明了导致认知障碍的潜在机制。
认知衰退各阶段的共同及不同风险因素强调了进行针对性干预的必要性。与血液生物标志物的相关性为潜在的管理靶点提供了见解。
通过对重庆居民进行的一项大型社区队列研究,我们发现轻度认知障碍(MCI)和痴呆症有几个共同的风险因素,包括年龄、女性、农村居住、低学历以及中风病史。然而,每种情况也有其独特的风险因素。包括年龄、教育水平、职业以及高血压和癫痫病史在内的几个因素会促使MCI发展为痴呆症。我们发现了痴呆症风险因素与血液生物标志物之间的相关性,这些生物标志物表明存在轴突损伤、胶质细胞激活和Aβ病理。