Evidence map›Paper›PMID 40150792›Full record

ArticleMultiple sclerosis (Houndmills, Basingstoke, England)2025

Metabolic and lipid alterations in multiple sclerosis linked to disease severity.

Rezvan Noroozi, Hui-Hsin Tsai, Ketian Yu, Paola Bronson, Karunakar Samuel, Kien Trinh, Ru Wei, Ellen Tsai, Farren Bs Briggs, Pavan Bhargava and 1 more

Abstract readMulticenter Study
In one paragraph

Article in Multiple sclerosis (Houndmills, Basingstoke, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Rezvan NorooziDepartment of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0003-2294-171X
Hui-Hsin TsaiBiogen, Cambridge, MA, USA.
Ketian YuBiogen, Cambridge, MA, USA.
Paola BronsonBiogen, Cambridge, MA, USA.ORCID 0000-0001-9996-9812
Karunakar SamuelDepartment of Neuroimmunology, School of Medicine and Dentistry, University of Rochester, NY, USA.
Kien TrinhBiogen, Cambridge, MA, USA.
Ru WeiBiogen, Cambridge, MA, USA.
Ellen TsaiBiogen, Cambridge, MA, USA.
Farren Bs BriggsPublic Health Sciences, Miller School of Medicine, University of Miami, Miami, FL, USA.ORCID 0000-0003-0903-1359
Pavan BhargavaDepartment of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0002-7947-9418
Kathryn C FitzgeraldDepartment of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0003-3137-0322

Funding

Metabolic predictors of disease outcomes in multiple sclerosisR01NS133005 · NINDS · JOHNS HOPKINS UNIVERSITY · PI Kathryn C. Fitzgerald · 2024 to 2026
$1.9M
NINDS NIH HHS R01 NS133005
6 · The paper itself

Abstract

backgroundThe circulating metabolome incorporates multiple levels of biological interactions and is an emerging field for biomarker discovery. However, few studies have linked metabolite levels with quantitative neurologic function assessments in people with multiple sclerosis (pwMS).

objectivesWe quantified metabolomic differences between pwMS and healthy controls (HCs) and assessed the association of metabolites with disease severity.

methodsWe profiled 517 metabolites using liquid chromatography-mass spectrometry (Biocrates Inc.) for participants from the MS Partners Advancing Technology and Health Solutions (MS PATHS). We conducted a multicenter cross-sectional study and applied linear regression to assess the association between metabolites and neurological function measures in multiple sclerosis (MS), including walking speed, manual dexterity, and processing speed.

resultsAmong 1010 participants (837 MS; 71.2% relapsing-remitting MS; 173 HC; mean age: 44.5 (standard deviation (SD): 11.4); 73.9% female; 12.7% non-white), pwMS showed decreased levels of phosphatidylcholines (PCs) and different amino acids (AAs) but increased triglycerides (TGs). Metabolites showed an association with worse neurologic function; for instance, a 1-SD decrease in

conclusionsThis large study identified lipid alterations linked to MS severity. Future longitudinal studies will evaluate if these metabolite levels predict MS outcomes.

Indexed as

Lipid MetabolismMetabolomeMultiple SclerosisMultiple Sclerosis, Relapsing-RemittingAdultBiomarkersCross-Sectional StudiesFemaleHumansMaleMetabolomicsMiddle AgedSeverity of Illness IndexBiomarkerslipidomicsmetabolomicsMultiple sclerosismultiple sclerosis performance testneurological function

Identifiers

PMID40150792
PMCPMC12805657

What Socratic holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.