Literature DB >> 35700359

Blood-based untargeted metabolomics in relapsing-remitting multiple sclerosis revealed the testable therapeutic target.

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

Mesh:

Substances:

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


  62 in total

1.  Myelin-laden macrophages are anti-inflammatory, consistent with foam cells in multiple sclerosis.

Authors:  Leonie A Boven; Marjan Van Meurs; Marloes Van Zwam; Annet Wierenga-Wolf; Rogier Q Hintzen; Rolf G Boot; Johannes M Aerts; Sandra Amor; Edward E Nieuwenhuis; Jon D Laman
Journal:  Brain       Date:  2005-12-19       Impact factor: 13.501

Review 2.  Metabolic signatures of T-cells and macrophages in rheumatoid arthritis.

Authors:  Cornelia M Weyand; Markus Zeisbrich; Jörg J Goronzy
Journal:  Curr Opin Immunol       Date:  2017-05-21       Impact factor: 7.486

Review 3.  Serine, glycine and one-carbon units: cancer metabolism in full circle.

Authors:  Jason W Locasale
Journal:  Nat Rev Cancer       Date:  2013-07-04       Impact factor: 60.716

Review 4.  New and emerging disease modifying therapies for multiple sclerosis.

Authors:  Shiv Saidha; Christopher Eckstein; Peter A Calabresi
Journal:  Ann N Y Acad Sci       Date:  2012-01-06       Impact factor: 5.691

5.  Elevation of Sema4A implicates Th cell skewing and the efficacy of IFN-β therapy in multiple sclerosis.

Authors:  Yuji Nakatsuji; Tatsusada Okuno; Masayuki Moriya; Tomoyuki Sugimoto; Makoto Kinoshita; Hyota Takamatsu; Satoshi Nojima; Tetsuya Kimura; Sujin Kang; Daisuke Ito; Yukinobu Nakagawa; Toshihiko Toyofuku; Kazushiro Takata; Misa Nakano; Masato Kubo; Sinobu Suzuki; Akiko Matsui-Hasumi; Ayako Uto-Konomi; Atsushi Ogata; Hideki Mochizuki; Saburo Sakoda; Atsushi Kumanogoh
Journal:  J Immunol       Date:  2012-04-09       Impact factor: 5.422

Review 6.  Recent advances in metabolomics in neurological disease, and future perspectives.

Authors:  Ai-hua Zhang; Hui Sun; Xi-jun Wang
Journal:  Anal Bioanal Chem       Date:  2013-05-30       Impact factor: 4.142

Review 7.  Pro-resolving lipid mediators are leads for resolution physiology.

Authors:  Charles N Serhan
Journal:  Nature       Date:  2014-06-05       Impact factor: 49.962

Review 8.  Sphingolipid metabolites in inflammatory disease.

Authors:  Michael Maceyka; Sarah Spiegel
Journal:  Nature       Date:  2014-06-05       Impact factor: 49.962

9.  Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria.

Authors:  Chris H Polman; Stephen C Reingold; Brenda Banwell; Michel Clanet; Jeffrey A Cohen; Massimo Filippi; Kazuo Fujihara; Eva Havrdova; Michael Hutchinson; Ludwig Kappos; Fred D Lublin; Xavier Montalban; Paul O'Connor; Magnhild Sandberg-Wollheim; Alan J Thompson; Emmanuelle Waubant; Brian Weinshenker; Jerry S Wolinsky
Journal:  Ann Neurol       Date:  2011-02       Impact factor: 10.422

10.  PKM2 promotes Th17 cell differentiation and autoimmune inflammation by fine-tuning STAT3 activation.

Authors:  Luis Eduardo Alves Damasceno; Douglas Silva Prado; Flavio Protasio Veras; Miriam M Fonseca; Juliana E Toller-Kawahisa; Marcos Henrique Rosa; Gabriel Azevedo Públio; Timna Varela Martins; Fernando S Ramalho; Ari Waisman; Fernando Queiroz Cunha; Thiago Mattar Cunha; José Carlos Alves-Filho
Journal:  J Exp Med       Date:  2020-10-05       Impact factor: 14.307

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  1 in total

1.  UPLC/Q-TOF MS-Based Urine Metabonomics Study to Identify Diffuse Axonal Injury Biomarkers in Rat.

Authors:  Peng Zhang; Sheng Wang; Meiqing Liu; Wenhui Li; Leilei Li; Shisheng Zhu; Qianyun Nie; Qifu Li
Journal:  Dis Markers       Date:  2022-09-21       Impact factor: 3.464

  1 in total

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