EconPapers    
Economics at your fingertips  
 

Higher CSF sTNFR1-related proteins associate with better prognosis in very early Alzheimer’s disease

William T. Hu (), Tugba Ozturk, Alexander Kollhoff, Whitney Wharton and J. Christina Howell
Additional contact information
William T. Hu: Emory University
Tugba Ozturk: Emory University
Alexander Kollhoff: Emory University
Whitney Wharton: Emory University
J. Christina Howell: Emory University

Nature Communications, 2021, vol. 12, issue 1, 1-12

Abstract: Abstract Neuroinflammation is associated with Alzheimer’s disease, but the application of cerebrospinal fluid measures of inflammatory proteins may be limited by overlapping pathways and relationships between them. In this work, we measure 15 cerebrospinal proteins related to microglial and T-cell functions, and show them to reproducibly form functionally-related groups within and across diagnostic categories in 382 participants from the Alzheimer’s Disease Neuro-imaging Initiative as well participants from two independent cohorts. We further show higher levels of proteins related to soluble tumor necrosis factor receptor 1 are associated with reduced risk of conversion to dementia in the multi-centered (p = 0.027) and independent (p = 0.038) cohorts of people with mild cognitive impairment due to predicted Alzheimer’s disease, while higher soluble TREM2 levels associated with slower decline in the dementia stage of Alzheimer’s disease. These inflammatory proteins thus provide prognostic information independent of established Alzheimer’s markers.

Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-021-24220-7 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-24220-7

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-021-24220-7

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-24220-7