Combining Multiple Factors to Predict Alzheimer’s Disease

作     者：Xiao-Lin Gao Jun Wang Yan-Jiang Wang Xian-Le Bu 

作者机构：Department of Neurology and Centre for Clinical NeuroscienceDaping HospitalThird Military Medical University400042ChongqingChina Chongqing Key Laboratory of Ageing and Brain Diseases400042ChongqingChina Institute of Brain and IntelligenceThird Military Medical University400042ChongqingChina State Key Laboratory of TraumaBurns and Combined InjuryThird Military Medical University400042ChongqingChina Center for Excellence in Brain Science and Intelligence TechnologyChinese Academy of Sciences200031ShanghaiChina 

出 版 物：《Neuroscience Bulletin》 (神经科学通报（英文版）)

年 卷 期：2022年第38卷第8期

页      面：969-972页

核心收录：

学科分类：1002[医学-临床医学] 1001[医学-基础医学(可授医学、理学学位)] 100203[医学-老年医学] 10[医学] 

基　　金：This Research Highlight was supported by the National Natural Science Foundation of China(82122023) the Natural Science Foundation of Chongqing,China(cstc2020jcyj-msxmX0132). 

主　　题：Alzheimer diagnosis drugs 

摘      要：Alzheimer s disease(AD)is the most common type of dementia that imposes a high burden on caregivers and has substantial economic cost for society.Although there are no drugs available to reverse the progression of AD,a large number of studies have shown that intervention for the risk factors for AD or administration of disease-modifying therapy at the preclinical/prodromal stage yields better outcomes.Therefore,early diagnosis or accurate prediction of AD in healthy populations and preclinical AD is an important prerequisite for effective intervention.