Evidence map›Paper›PMID 41953040›Full record

ArticleFrontiers in immunology2026

Aberrant long-chain fatty acids metabolism and its interplay with immuno-inflammatory responses in relapsing-remitting multiple sclerosis.

Xiao-Xi Zhu, Pei-Juan Wang, He-Xu Liu, Peng Sun, Li-Mei Yu, Fan Yang

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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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

6 authors.

Xiao-Xi Zhu *Key Laboratory of Cell Engineering in Guizhou Province, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Pei-Juan Wang *Department of Psychiatry, Nantong Fourth People's Hospital, Nantong, China.
He-Xu LiuDepartment of Neurology, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Peng SunLishui Key Laboratory of Brain Health and Severe Brain Disorders. Lishui Second People's Hospital, Wenzhou Medical University, Lishui, China.
Li-Mei YuKey Laboratory of Cell Engineering in Guizhou Province, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Fan YangLishui Key Laboratory of Brain Health and Severe Brain Disorders. Lishui Second People's Hospital, Wenzhou Medical University, Lishui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Growing evidence indicates significant alterations in fatty acid metabolism in patients with relapsing-remitting multiple sclerosis (RRMS). However, the metabolic status of long-chain fatty acids (LCFAs), including mono-unsaturated fatty acids (MUFAs) and poly-unsaturated fatty acids (PUFAs), and their potential link to immune-inflammatory responses during RRMS relapses, remain unclear. This study aims to uncover the aberrant metabolic signatures of LCFAs, potential LCFA biomarkers during RRMS relapses, and their interactive network with peripheral inflammatory responses. Methods: In this study, plasma samples from 20 RRMS patients and 22 age- and sex-matched healthy controls (HCs) were analyzed using liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based untargeted metabolomics method. Results: Metabolomics analysis revealed marked changes in the LCFA metabolic profile of RRMS patients. Compared to HCs, 26 differentially abundant metabolites (DAMs) belonging to amino acids, fatty acids, and their derivatives were identified in RRMS samples, including significantly upregulated LCFA palmitic acid (FA 16:0) ( Conclusion: Our results uncover the aberrant metabolic features of LCFAs and potential biomarkers in RRMS patients, and the interactive network and key molecular nodes between LCFAs and peripheral immune-inflammatory responses. The interplay between LCFAs and immuno-inflammation may drive the migration of inflammatory events from the periphery to the CNS, reigniting CNS neuroinflammation and causing RRMS relapses. These findings offer valuable insights for RRMS diagnosis and novel therapeutic development.

Indexed as

Fatty AcidsMultiple Sclerosis, Relapsing-RemittingAdultBiomarkersCase-Control StudiesCytokinesFemaleHumansInflammationMaleMetabolomicsMiddle AgedBiomarkersCytokinesFatty Acidschemokinecytokineimmune-metabolic networkinflammationlong-chain fatty acidmono-unsaturated fatty acidpoly-unsaturated fatty acidrelapsing-remitting multiple sclerosis

Identifiers

PMID41953040
PMCPMC13053256

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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 OpenQuestion graph.