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Methods to capture proteomic and metabolomic signatures from cerebrospinal fluid and serum of healthy individuals

Authors :
Laura M. Lilley
Steven Sanche
Shepard C. Moore
Michelle R. Salemi
Dung Vu
Srinivas Iyer
Nicolas W. Hengartner
Harshini Mukundan
Source :
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Publication Year :
2022
Publisher :
Nature Portfolio, 2022.

Abstract

Abstract Discovery of reliable signatures for the empirical diagnosis of neurological diseases—both infectious and non-infectious—remains unrealized. One of the primary challenges encountered in such studies is the lack of a comprehensive database representative of a signature background that exists in healthy individuals, and against which an aberrant event can be assessed. For neurological insults and injuries, it is important to understand the normal profile in the neuronal (cerebrospinal fluid) and systemic fluids (e.g., blood). Here, we present the first comparative multi-omic human database of signatures derived from a population of 30 individuals (15 males, 15 females, 23–74 years) of serum and cerebrospinal fluid. In addition to empirical signatures, we also assigned common pathways between serum and CSF. Together, our findings provide a cohort against which aberrant signature profiles in individuals with neurological injuries/disease can be assessed—providing a pathway for comprehensive diagnostics and therapeutics discovery.

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
20452322
Volume :
12
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Scientific Reports
Publication Type :
Academic Journal
Accession number :
edsdoj.70dd40a6bd62462abd9c00597134ab64
Document Type :
article
Full Text :
https://doi.org/10.1038/s41598-022-16598-1