# The gut microbiota composition is shaped by disease activity and individual treatment responses in patients with multiple sclerosis

**Authors:** Veronika Ticha, Stepan Coufal, Zuzana Jiraskova Zakostelska, Tomas Thon, Radka Roubalova, Tomas Hrncir, Miloslav Kverka, Miluse Pavelcova, Pavlina Kleinova, Jana Lizrova Preiningerova, Ivana Kovarova, Jakub Kreisinger, Helena Tlaskalova-Hogenova, Eva Kubala Havrdova

PMC · DOI: 10.3389/fimmu.2025.1681342 · Frontiers in Immunology · 2026-02-12

## TL;DR

The gut microbiota in multiple sclerosis patients differs based on disease activity and treatment response, with non-responders showing signs of gut barrier dysfunction and inflammation.

## Contribution

This study reveals how gut microbiota composition is influenced by MS treatment outcomes and disease activity, linking microbial changes to immune system dysregulation.

## Key findings

- Patients with active disease or non-response to treatment showed reduced gut microbiota diversity and altered short-chain fatty acid-producing bacteria.
- Non-responders had elevated serum levels of lipopolysaccharide-binding protein and mannose-binding lectin, indicating compromised gut barrier function.
- Cladribine-treated patients showed distinct microbiota profiles regardless of treatment success, suggesting a strong influence of this therapy on gut composition.

## Abstract

Multiple sclerosis (MS) is a chronic autoimmune disorder of the central nervous system, with both animal and human studies highlighting a pivotal role for the gut microbiota in its pathogenesis. In this cross-sectional study, we investigated the potential role of gut microbiota in treatment response by analyzing its composition using 16S rRNA sequencing in treatment-naïve patients and those receiving disease-modifying therapies (interferon-beta (IFN-β), fingolimod, or cladribine), compared to healthy controls (HC). We also analyzed differences in gut microbiota composition and the serum levels of biomarkers associated with microbial translocation and inflammation based on treatment response. We found that individuals with clinically isolated syndrome (CIS) and treatment non-responders (NR) had significantly different alpha and beta diversity compared to HC. This effect was present in both IFN-β and fingolimod treatment. Individuals treated with cladribine had significantly different alpha and beta diversity regardless of the treatment outcome. The main differences in abundances in CIS and NR were found in bacteria that produce short-chain fatty acids. These patients also had significantly higher levels of lipopolysaccharide-binding protein and mannose-binding lectin compared to HC suggesting the compromised gut barrier function in multiple sclerosis leading to higher level of microbial translocation in these patients. In summary, we found that the treatment influences gut microbiota. Similar profile of gut microbiota and higher levels of molecules associated with microbial translocation were observed in patients with active disease (CIS and NR), suggesting the higher permeability of their gut barrier leading to pro-inflammatory tunning of their immune system.

Created with BioRender.com.Diagram illustrating therapy response in clinically isolated syndrome (CIS). It features a human figure receiving immunomodulatory treatments (Interferon-β, Fingolimod, Cladribine) and an analysis section detailing gut microbiota, serum SCFA levels, and inflammatory response. Key findings for non-responders include reduced alpha diversity, decreased SCFA-producing bacteria and serum SCFA, and impaired gut barrier function with elevated serum LBP and MBL levels. Brain images indicate therapy response outcomes.

Created with BioRender.com.

## Linked entities

- **Diseases:** multiple sclerosis (MONDO:0005301)

## Full-text entities

- **Genes:** IL18 (interleukin 18) [NCBI Gene 3606] {aka IGIF, IL-18, IL-1g, IL1F4}, mucin [NCBI Gene 100508689], S100A9 (S100 calcium binding protein A9) [NCBI Gene 6280] {aka 60B8AG, CAGB, CFAG, CGLB, L1AG, LIAG}, LBP (lipopolysaccharide binding protein) [NCBI Gene 3929] {aka BPIFD2}, GALT (galactose-1-phosphate uridylyltransferase) [NCBI Gene 2592], SAA [NCBI Gene 6287], NFKB1 (nuclear factor kappa B subunit 1) [NCBI Gene 4790] {aka CVID12, EBP-1, KBF1, NF-kB, NF-kB1, NF-kappa-B1}, SPP1 (secreted phosphoprotein 1) [NCBI Gene 6696] {aka BNSP, BSPI, ETA-1, OPN}, CXCR3 (C-X-C motif chemokine receptor 3) [NCBI Gene 2833] {aka CD182, CD183, CKR-L2, CMKAR3, GPR9, IP10-R}, IL1B (interleukin 1 beta) [NCBI Gene 3553] {aka IL-1, IL1-BETA, IL1F2, IL1beta}, LCN2 (lipocalin 2) [NCBI Gene 3934] {aka 24p3, MSFI, NGAL, p25}, MBL2 (mannose binding lectin 2) [NCBI Gene 4153] {aka COLEC1, HSMBPC, MBL, MBL2D, MBP, MBP-C}, S100A8 (S100 calcium binding protein A8) [NCBI Gene 6279] {aka 60B8AG, CAGA, CFAG, CGLA, CP-10, L1Ag}, KRT20 (keratin 20) [NCBI Gene 54474] {aka CD20, CK-20, CK20, K20, KRT21}, IL10 (interleukin 10) [NCBI Gene 3586] {aka CSIF, GVHDS, IL-10, IL10A, TGIF}, IFNA1 (interferon alpha 1) [NCBI Gene 3439] {aka IFL, IFN, IFN-ALPHA, IFN-alphaD, IFNA13, IFNA@}, IFNB1 (interferon beta 1) [NCBI Gene 3456] {aka IFB, IFF, IFN-beta, IFNB}, IFNG (interferon gamma) [NCBI Gene 3458] {aka IFG, IFI, IMD69}, CD4 (CD4 molecule) [NCBI Gene 920] {aka CD4mut, IMD79, Leu-3, OKT4D, T4}, CSF2 (colony stimulating factor 2) [NCBI Gene 1437] {aka CSF, GMCSF}, MBTPS1 (membrane bound transcription factor peptidase, site 1) [NCBI Gene 8720] {aka CAOP, PCSK8, S1P, SEDKF, SKI-1}, CD14 (CD14 molecule) [NCBI Gene 929], CD8A (CD8 subunit alpha) [NCBI Gene 925] {aka CD8, CD8alpha, IMD116, Leu2, p32}, CISH (cytokine inducible SH2 containing protein) [NCBI Gene 1154] {aka BACTS2, CIS, CIS-1, G18, SOCS}, IL17A (interleukin 17A) [NCBI Gene 3605] {aka CTLA-8, CTLA8, IL-17, IL-17A, IL17, ILA17}
- **Diseases:** isolated syndrome (MESH:C565377), NR (MESH:C580335), celiac disease (MESH:D002446), NEDA-3 (MESH:C537153), neurological deficits (MESH:D009461), T2 (MESH:C535434), autoimmune disease (MESH:D001327), damage of oligodendrocytes (MESH:D056784), neuroinflammation (MESH:D000090862), CNS diseases (MESH:D002493), cancer (MESH:D009369), Guillain-Barre syndrome (MESH:D020275), dysbiosis (MESH:D064806), Alzheimer Disease (MESH:D000544), mental disorders (MESH:D001523), Parkinson's disease (MESH:D010300), HC (MESH:D000067329), Autoimmune Encephalitis (MESH:D020274), SPMS (MESH:D020528), PK (MESH:C564858), inflammation (MESH:D007249), neurodegeneration (MESH:D019636), myasthenia gravis (MESH:D009157), axonal damage (MESH:D001480), MS (MESH:D009103), depression (MESH:D003866), neuronal loss (MESH:D009410), RRMS (MESH:D020529), language development disorder (MESH:D007805), retinal atrophy (MESH:D012173), DMT (MESH:D016609), gut disorders (MESH:C536735), CIS (MESH:D059466), demyelinating (MESH:D003711), PCoA (MESH:D001259), PwMS (MESH:D009105)
- **Chemicals:** cholesterol (MESH:D002784), kynurenine (MESH:D007737), gamma-aminobutyric acid (MESH:D005680), ofatumumab (MESH:C527517), ozanimod (MESH:C000607776), alemtuzumab (MESH:D000074323), ponesimod (MESH:C550169), glatiramer acetate (MESH:D000068717), SCFA (MESH:D005232), indole (MESH:C030374), tryptophan (MESH:D014364), natalizumab (MESH:D000069442), lipid (MESH:D008055), teriflunomide (MESH:C527525), LPS (MESH:D008070), CLA (MESH:D017338), dimethyl fumarate (MESH:D000069462), TUDCA (MESH:C031655), butyrate (MESH:D002087), FIN (MESH:D000068876), coprostanol (MESH:D004083), bile acid (MESH:D001647), ocrelizumab (MESH:C533411), DMT (-)
- **Species:** Streptococcus salivarius K12 (strain) [taxon 1200793], Ruminococcus (genus) [taxon 1263], Bacteroides sp. (species) [taxon 29523], Erysipelatoclostridium [taxon 1505663], Roseburia (genus) [taxon 841], Victivallis (genus) [taxon 172900], Eubacterium coprostanoligenes (species) [taxon 290054], Intestinimonas (genus) [taxon 1392389], Eggerthellaceae (family) [taxon 1643826], Coprococcus (genus) [taxon 33042], Negativibacillus (genus) [taxon 1980693], Lachnospiraceae (family) [taxon 186803], Faecalibacterium (genus) [taxon 216851], Blautia (genus) [taxon 572511], [Eubacterium] siraeum (species) [taxon 39492], gut metagenome (species) [taxon 749906], Bacillota (clostridial firmicutes, phylum) [taxon 1239], Flavonifractor (genus) [taxon 946234], Homo sapiens (human, species) [taxon 9606], Clostridium (genus) [taxon 1485], Collinsella (genus) [taxon 102106], Bacteria Latreille et al. 1825 (Bacteria stick insect, genus) [taxon 629395], Eggerthella (genus) [taxon 84111]

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12935932/full.md

## References

82 references — full list in the complete paper: https://tomesphere.com/paper/PMC12935932/full.md

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Source: https://tomesphere.com/paper/PMC12935932