| Literature DB >> 35700359 |
Insha Zahoor1, Hamid Suhail1, Indrani Datta2, Mohammad Ejaz Ahmed1, Laila M Poisson2, Jeffrey Waters1, Faraz Rashid1, Rui Bin1, Jaspreet Singh1, Mirela Cerghet1, Ashok Kumar3, Md Nasrul Hoda1, Ramandeep Rattan4, Ashutosh K Mangalam5, Shailendra Giri1.
Abstract
Metabolic aberrations impact the pathogenesis of multiple sclerosis (MS) and possibly can provide clues for new treatment strategies. Using untargeted metabolomics, we measured serum metabolites from 35 patients with relapsing-remitting multiple sclerosis (RRMS) and 14 healthy age-matched controls. Of 632 known metabolites detected, 60 were significantly altered in RRMS. Bioinformatics analysis identified an altered metabotype in patients with RRMS, represented by four changed metabolic pathways of glycerophospholipid, citrate cycle, sphingolipid, and pyruvate metabolism. Interestingly, the common upstream metabolic pathway feeding these four pathways is the glycolysis pathway. Real-time bioenergetic analysis of the patient-derived peripheral blood mononuclear cells showed enhanced glycolysis, supporting the altered metabolic state of immune cells. Experimental autoimmune encephalomyelitis mice treated with the glycolytic inhibitor 2-deoxy-D-glucose ameliorated the disease progression and inhibited the disease pathology significantly by promoting the antiinflammatory phenotype of monocytes/macrophage in the central nervous system. Our study provided a proof of principle for how a blood-based metabolomic approach using patient samples could lead to the identification of a therapeutic target for developing potential therapy.Entities:
Keywords: EAE; glycolysis; metabolomics; multiple sclerosis
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Year: 2022 PMID: 35700359 PMCID: PMC9231486 DOI: 10.1073/pnas.2123265119
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 12.779