Evidence map›Paper›PMID 38565581›Full record

ArticleScientific reports2024

Investigating the metabolite signature of an altered oral microbiota as a discriminant factor for multiple sclerosis: a pilot study.

Léo Boussamet, Emmanuel Montassier, Camille Mathé, Alexandra Garcia, Jérémy Morille, Sita Shah, Emilie Dugast, Sandrine Wiertlewski, Mathilde Gourdel, Corinna Bang and 7 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
5.8field-weighted citation impact, top 3% of its field
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

18 citing papers in PubMed, 25 citations in OpenAlex.

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  12. Oral microbiota and central nervous system diseases: A review.Neuroprotection (Chichester, England) · 2025
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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

17 authors at 8 institutions in 3 countries.

Léo BoussametNantes Université, Inserm, CHU de Nantes, CR2TI (Center for Research On Transplantation and Translational Immunology), 30 Bd Jean Monnet, 44000, Nantes, France.
Emmanuel MontassierNantes Université, Inserm, CHU de Nantes, CR2TI (Center for Research On Transplantation and Translational Immunology), 30 Bd Jean Monnet, 44000, Nantes, France.
Camille MathéNantes Université, Inserm, CHU de Nantes, CR2TI (Center for Research On Transplantation and Translational Immunology), 30 Bd Jean Monnet, 44000, Nantes, France.
Alexandra GarciaNantes Université, Inserm, CHU de Nantes, CR2TI (Center for Research On Transplantation and Translational Immunology), 30 Bd Jean Monnet, 44000, Nantes, France.
Jérémy MorilleNantes Université, Inserm, CHU de Nantes, CR2TI (Center for Research On Transplantation and Translational Immunology), 30 Bd Jean Monnet, 44000, Nantes, France.
Sita ShahNantes Université, Inserm, CHU de Nantes, CR2TI (Center for Research On Transplantation and Translational Immunology), 30 Bd Jean Monnet, 44000, Nantes, France.
Emilie DugastNantes Université, Inserm, CHU de Nantes, CR2TI (Center for Research On Transplantation and Translational Immunology), 30 Bd Jean Monnet, 44000, Nantes, France.
Sandrine WiertlewskiNantes Université, Inserm, CHU de Nantes, CR2TI (Center for Research On Transplantation and Translational Immunology), 30 Bd Jean Monnet, 44000, Nantes, France.
Mathilde GourdelMass Spectrometry Platform, SFR Bonamy, Nantes, France.
Corinna BangInstitute of Clinical Molecular Biology, Christian Albrechts University of Kiel, Kiel, Germany.
Klarissa H StürnerDepartment of Neurology, University Hospital Schleswig-Holstein, Kiel, Germany.
Damien MassonClinical Biochemistry Department, Nantes Hospital, Nantes, France.
Arnaud B NicotNantes Université, Inserm, CHU de Nantes, CR2TI (Center for Research On Transplantation and Translational Immunology), 30 Bd Jean Monnet, 44000, Nantes, France.
Nicolas VinceNantes Université, Inserm, CHU de Nantes, CR2TI (Center for Research On Transplantation and Translational Immunology), 30 Bd Jean Monnet, 44000, Nantes, France.
David-Axel LaplaudNantes Université, Inserm, CHU de Nantes, CR2TI (Center for Research On Transplantation and Translational Immunology), 30 Bd Jean Monnet, 44000, Nantes, France.
Douglas L FeinsteinJesse Brown VA Medical Center, 835 South Wolcott Ave, MC513, E720, Chicago, IL, 60612, USA. dlfeins@uic.edu.
Laureline BerthelotNantes Université, Inserm, CHU de Nantes, CR2TI (Center for Research On Transplantation and Translational Immunology), 30 Bd Jean Monnet, 44000, Nantes, France. laureline.berthelot@inserm.fr.
Center for Research in Transplantation and Translational ImmunologyCentre Hospitalier Universitaire de Nantes · FRInserm · FRChristian-Albrechts-Universität zu Kiel · DEIllinois College · USNantes Université · FRStructure Fédérative de Recherche BonamyUniversity of Lübeck · DE

Funding

Strengthening Stakeholder Engagement in Human Research Protections.UL1TR002003 · NCATS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI KARNIK, NIRANJAN SUBHASH, MERMELSTEIN, ROBIN J. · 2016 to 2024
$33.7M
Liver Kinase B1, a genetic risk factor for multiple sclerosisI01BX002625 · VA · JESSE BROWN VA MEDICAL CENTER · PI FEINSTEIN, DOUGLAS L. · 2016 to 2023
–
Characterization of the oral microbiome of patients with Multiple SclerosisI21BX005914 · VA · JESSE BROWN VA MEDICAL CENTER · PI FEINSTEIN, DOUGLAS L. · 2023 to 2024
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BLR&D Research Career Scientist Award ApplicationIK6BX004852 · VA · JESSE BROWN VA MEDICAL CENTER · PI Douglas L. Feinstein · 2020 to 2026
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BLRD VA I01 BX002625BLRD VA I21 BX005914NCATS NIH HHS UL1 TR002003
6 · The paper itself

Abstract

In multiple sclerosis (MS), alterations of the gut microbiota lead to inflammation. However, the role of other microbiomes in the body in MS has not been fully elucidated. In a pilot case-controlled study, we carried out simultaneous characterization of faecal and oral microbiota and conducted an in-depth analysis of bacterial alterations associated with MS. Using 16S rRNA sequencing and metabolic inference tools, we compared the oral/faecal microbiota and bacterial metabolism pathways in French MS patients (n = 14) and healthy volunteers (HV, n = 21). A classification model based on metabolite flux balance was established and validated in an independent German cohort (MS n = 12, HV n = 38). Our analysis revealed decreases in diversity indices and oral/faecal compartmentalization, the depletion of commensal bacteria (Aggregatibacter and Streptococcus in saliva and Coprobacter and Roseburia in faeces) and enrichment of inflammation-associated bacteria in MS patients (Leptotrichia and Fusobacterium in saliva and Enterobacteriaceae and Actinomyces in faeces). Several microbial pathways were also altered (the polyamine pathway and remodelling of bacterial surface antigens and energetic metabolism) while flux balance analysis revealed associated alterations in metabolite production in MS (nitrogen and nucleoside). Based on this analysis, we identified a specific oral metabolite signature in MS patients, that could discriminate MS patients from HV and rheumatoid arthritis patients. This signature allowed us to create and validate a discrimination model on an independent cohort, which reached a specificity of 92%. Overall, the oral and faecal microbiomes were altered in MS patients. This pilot study highlights the need to study the oral microbiota and oral health implications in patients with autoimmune diseases on a larger scale and suggests that knowledge of the salivary microbiome could help guide the identification of new pathogenic mechanisms associated with the microbiota in MS patients.

Indexed as

MicrobiotaMultiple SclerosisBacteriaHumansInflammationPilot ProjectsRNA, Ribosomal, 16SRNA, Ribosomal, 16SGutMetabolitesMicrobiotaMultiple sclerosisSaliva

Identifiers

PMID38565581
PMCPMC10987558
OpenAlexW4393410802

What OpenQuestion holds

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Registered trials

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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.