Literature DB >> 31145586

Potential Value of Plasma Amyloid-β, Total Tau, and Neurofilament Light for Identification of Early Alzheimer's Disease.

Yachen Shi1, Xiang Lu1, Linhai Zhang2, Hao Shu1, Lihua Gu1, Zan Wang1, Lijuan Gao1, Jianli Zhu3, Haisan Zhang3, Deyu Zhou2, Zhijun Zhang1,3.   

Abstract

The objective of the study was to explore the potential value of plasma indicators for identifying amnesic mild cognitive impairment (aMCI) and determine whether levels of plasma indicators are related to the performance of cognitive function and brain tissue volumes. In total, 155 participants (68 aMCI patients and 87 health controls) were recruited in the present cross-sectional study. The levels of plasma amyloid-β (Aβ) 40, Aβ42, total tau (t-tau), and neurofilament light (NFL) were measured using an ultrasensitive quantitative method. Machine learning algorithms were performed for establishing an optimal model of identifying aMCI. Compared with healthy controls, Aβ40 and Aβ42 levels were lower and NFL levels were higher in plasma of aMCI patients with an exception of t-tau levels. In aMCI patients, the higher plasma Aβ40 levels were correlated with the impaired episodic memory and negative correlations were observed between plasma t-tau levels and global cognitive function and gray matter (GM) volume. In addition, the higher plasma NFL levels were correlated with reduced hippocampus volume and total GM volume of the left inferior and middle temporal gyrus. An integrated model included clinical features, hippocampus volume, and plasma Aβ42 and NFL and had the highest accuracy for detecting aMCI patients (accuracy, 74.2%). We demonstrated that plasma Aβ40, Aβ42, t-tau, and NFL may be useful to identify aMCI and correlate with cognitive decline and brain atrophy. Among these plasma indicators, Aβ42 and NFL are more valuable as key members of a peripheral biomarker panel to detect aMCI.

Entities:  

Keywords:  aMCI; machine learning; memory; plasma NFL; plasma amyloid-β; plasma t-tau

Year:  2019        PMID: 31145586     DOI: 10.1021/acschemneuro.9b00095

Source DB:  PubMed          Journal:  ACS Chem Neurosci        ISSN: 1948-7193            Impact factor:   4.418


  17 in total

Review 1.  Tau proteins in blood as biomarkers of Alzheimer's disease and other proteinopathies.

Authors:  Federico Verde
Journal:  J Neural Transm (Vienna)       Date:  2022-02-17       Impact factor: 3.575

2.  Longitudinal Association of Total Tau Concentrations and Physical Activity With Cognitive Decline in a Population Sample.

Authors:  Pankaja Desai; Denis Evans; Klodian Dhana; Neelum T Aggarwal; Robert S Wilson; Elizabeth McAninch; Kumar B Rajan
Journal:  JAMA Netw Open       Date:  2021-08-02

3.  Potential association of bone mineral density loss with cognitive impairment and central and peripheral amyloid-β changes: a cross-sectional study.

Authors:  Peng Zhang; Yi Zhou; Gang Chen; Jun Li; Bangjun Wang; Xinyan Lu
Journal:  BMC Musculoskelet Disord       Date:  2022-06-30       Impact factor: 2.562

4.  Data-Driven Analyses of Longitudinal Hippocampal Imaging Trajectories: Discrimination and Biomarker Prediction of Change Classes.

Authors:  Shannon M Drouin; G Peggy McFall; Olivier Potvin; Pierre Bellec; Mario Masellis; Simon Duchesne; Roger A Dixon
Journal:  J Alzheimers Dis       Date:  2022       Impact factor: 4.160

5.  Plasma biomarker profiles and the correlation with cognitive function across the clinical spectrum of Alzheimer's disease.

Authors:  Zhenxu Xiao; Xue Wu; Wanqing Wu; Jingwei Yi; Xiaoniu Liang; Saineng Ding; Li Zheng; Jianfeng Luo; Hongchen Gu; Qianhua Zhao; Hong Xu; Ding Ding
Journal:  Alzheimers Res Ther       Date:  2021-07-05       Impact factor: 6.982

6.  Prevalence of mild cognitive impairment in type 2 diabetes mellitus is associated with serum galectin-3 level.

Authors:  Shizhan Ma; Shangbin Li; Renjun Lv; Xunyao Hou; Shanjing Nie; Qingqing Yin
Journal:  J Diabetes Investig       Date:  2020-04-28       Impact factor: 4.232

7.  Predicting conversion to Alzheimer's disease among individual high-risk patients using the Characterizing AD Risk Events index model.

Authors:  Xiang Lu; Jiu Chen; Hao Shu; Zan Wang; Yong-Mei Shi; Yong-Gui Yuan; Chun-Ming Xie; Wen-Xiang Liao; Fan Su; Ya-Chen Shi; Zhi-Jun Zhang
Journal:  CNS Neurosci Ther       Date:  2020-04-03       Impact factor: 5.243

8.  Plasma Neurofilament Light Chain May Be a Biomarker for the Inverse Association Between Cancers and Neurodegenerative Diseases.

Authors:  Shunjie Liu; Zhenze Huang; Lijin Zhang; Junhao Pan; Qingfeng Lei; Yangyang Meng; Zhong Li
Journal:  Front Aging Neurosci       Date:  2020-01-29       Impact factor: 5.750

9.  Plasma N-terminal tau fragment levels predict future cognitive decline and neurodegeneration in healthy elderly individuals.

Authors:  Jasmeer P Chhatwal; Aaron P Schultz; Yifan Dang; Beth Ostaszewski; Lei Liu; Hyun-Sik Yang; Keith A Johnson; Reisa A Sperling; Dennis J Selkoe
Journal:  Nat Commun       Date:  2020-11-27       Impact factor: 14.919

10.  Combination of plasma amyloid beta(1-42/1-40) and glial fibrillary acidic protein strongly associates with cerebral amyloid pathology.

Authors:  Inge M W Verberk; Elisabeth Thijssen; Jannet Koelewijn; Kimberley Mauroo; Jeroen Vanbrabant; Arno de Wilde; Marissa D Zwan; Sander C J Verfaillie; Rik Ossenkoppele; Frederik Barkhof; Bart N M van Berckel; Philip Scheltens; Wiesje M van der Flier; Erik Stoops; Hugo M Vanderstichele; Charlotte E Teunissen
Journal:  Alzheimers Res Ther       Date:  2020-09-28       Impact factor: 6.982

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.