| Title |
Untargeted Plasma Metabolomics Identifies Endogenous Metabolite with Drug-like Properties in Chronic Animal Model of Multiple Sclerosis*
|
|---|---|
| Published in |
Journal of Biological Chemistry, November 2015
|
| DOI | 10.1074/jbc.m115.679068 |
| Pubmed ID | |
| Authors | |
| Abstract |
We performed untargeted metabolomics of plasma from B6 mice with experimental autoimmune encephalitis (EAE) at the chronic phase of the disease in search of an altered metabolic pathway(s). Of 324 metabolites measured, 100 metabolites that mapped to various pathways (mainly lipids) linked to mitochondrial function, inflammation and membrane stability were observed to be significantly altered between EAE and healthy control (p < 0.05, false discover rate [< 0.10]. Bioinformatics analysis revealed 6 metabolic pathways being impacted and altered in EAE including alpha linolenic acid and linoleic acid metabolism (PUFA). The metabolites of PUFAs, including omega 3 and omega 6 fatty acids, are commonly decreased in mouse models and in multiple sclerosis patients. Daily oral administration of resolvin D1, a downstream metabolite of omega 3, decreased disease progression by suppressing autoreactive T cells and inducing a M2 phenotype of monocytes/macrophages and resident brain microglial cells. This study provides a proof of principle for the application of a metabolomic approach to identify endogenous metabolite(s) possessing drug-like properties, which is tested for therapy in preclinical mouse models. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 40% |
| Germany | 1 | 20% |
| Australia | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
| Scientists | 1 | 20% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Unknown | 109 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 17 | 15% |
| Student > Ph. D. Student | 14 | 13% |
| Researcher | 14 | 13% |
| Student > Doctoral Student | 9 | 8% |
| Professor | 8 | 7% |
| Other | 14 | 13% |
| Unknown | 34 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 14% |
| Biochemistry, Genetics and Molecular Biology | 11 | 10% |
| Medicine and Dentistry | 10 | 9% |
| Immunology and Microbiology | 8 | 7% |
| Neuroscience | 8 | 7% |
| Other | 14 | 13% |
| Unknown | 44 | 40% |