Methods to capture proteomic and metabolomic signatures from cerebrospinal fluid and serum of healthy individuals
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...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-08-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-022-16598-1 |
| _version_ | 1811345175682744320 |
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| author | Laura M. Lilley Steven Sanche Shepard C. Moore Michelle R. Salemi Dung Vu Srinivas Iyer Nicolas W. Hengartner Harshini Mukundan |
| author_facet | Laura M. Lilley Steven Sanche Shepard C. Moore Michelle R. Salemi Dung Vu Srinivas Iyer Nicolas W. Hengartner Harshini Mukundan |
| author_sort | Laura M. Lilley |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T19:59:04Z |
| format | Article |
| id | doaj.art-70dd40a6bd62462abd9c00597134ab64 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-13T19:59:04Z |
| publishDate | 2022-08-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-70dd40a6bd62462abd9c00597134ab642022-12-22T02:32:14ZengNature PortfolioScientific Reports2045-23222022-08-0112111210.1038/s41598-022-16598-1Methods to capture proteomic and metabolomic signatures from cerebrospinal fluid and serum of healthy individualsLaura M. Lilley0Steven Sanche1Shepard C. Moore2Michelle R. Salemi3Dung Vu4Srinivas Iyer5Nicolas W. Hengartner6Harshini Mukundan7Los Alamos National LaboratoryLos Alamos National LaboratoryLos Alamos National LaboratoryGenome Center, Proteomics Core Facility, University of CaliforniaLos Alamos National LaboratoryLos Alamos National LaboratoryLos Alamos National LaboratoryLos Alamos National LaboratoryAbstract 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.https://doi.org/10.1038/s41598-022-16598-1 |
| spellingShingle | Laura M. Lilley Steven Sanche Shepard C. Moore Michelle R. Salemi Dung Vu Srinivas Iyer Nicolas W. Hengartner Harshini Mukundan Methods to capture proteomic and metabolomic signatures from cerebrospinal fluid and serum of healthy individuals Scientific Reports |
| title | Methods to capture proteomic and metabolomic signatures from cerebrospinal fluid and serum of healthy individuals |
| title_full | Methods to capture proteomic and metabolomic signatures from cerebrospinal fluid and serum of healthy individuals |
| title_fullStr | Methods to capture proteomic and metabolomic signatures from cerebrospinal fluid and serum of healthy individuals |
| title_full_unstemmed | Methods to capture proteomic and metabolomic signatures from cerebrospinal fluid and serum of healthy individuals |
| title_short | Methods to capture proteomic and metabolomic signatures from cerebrospinal fluid and serum of healthy individuals |
| title_sort | methods to capture proteomic and metabolomic signatures from cerebrospinal fluid and serum of healthy individuals |
| url | https://doi.org/10.1038/s41598-022-16598-1 |
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