Evidence map›Paper›PMID 39009690›Full record

ArticleNature microbiology2024

Gut microbial factors predict disease severity in a mouse model of multiple sclerosis.

Alex Steimle, Mareike Neumann, Erica T Grant, Stéphanie Willieme, Alessandro De Sciscio, Amy Parrish, Markus Ollert, Eiji Miyauchi, Tomoyoshi Soga, Shinji Fukuda and 2 more

Abstract read
In one paragraph

Article in Nature microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Review
  3. The Gut Microbiome in Multiple Sclerosis.Neurology(R) neuroimmunology & neuroinflammation · 2026
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Female-enrichedbioRxiv : the preprint server for biology · 2026
    Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. Review
  14. Review
  15. Gut microbial interaction networks control autoimmunity to neuroretina.bioRxiv : the preprint server for biology · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
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

12 authors.

Alex Steimle *Department of Infection and Immunity, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg.
Mareike Neumann *Department of Infection and Immunity, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg.ORCID http://orcid.org/0000-0002-1121-1706
Erica T GrantDepartment of Infection and Immunity, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg.ORCID http://orcid.org/0000-0002-7632-4939
Stéphanie WilliemeDepartment of Infection and Immunity, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg.
Alessandro De SciscioDepartment of Infection and Immunity, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg.
Amy ParrishDepartment of Infection and Immunity, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg.
Markus OllertDepartment of Infection and Immunity, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg.ORCID http://orcid.org/0000-0002-8055-0103
Eiji MiyauchiRIKEN Center for Integrative Medical Sciences, Yokohama City, Kanagawa, Japan.
Tomoyoshi SogaInstitute for Advanced Biosciences, Keio University, Yamagata, Japan.ORCID http://orcid.org/0000-0001-9502-2509
Shinji FukudaInstitute for Advanced Biosciences, Keio University, Yamagata, Japan.ORCID http://orcid.org/0000-0001-5161-9880
Hiroshi OhnoRIKEN Center for Integrative Medical Sciences, Yokohama City, Kanagawa, Japan.ORCID http://orcid.org/0000-0001-8776-9661
Mahesh S DesaiDepartment of Infection and Immunity, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg. mahesh.desai@lih.lu.ORCID http://orcid.org/0000-0002-9223-2209

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gut bacteria are linked to neurodegenerative diseases but the risk factors beyond microbiota composition are limited. Here we used a pre-clinical model of multiple sclerosis (MS), experimental autoimmune encephalomyelitis (EAE), to identify microbial risk factors. Mice with different genotypes and complex microbiotas or six combinations of a synthetic human microbiota were analysed, resulting in varying probabilities of severe neuroinflammation. However, the presence or relative abundances of suspected microbial risk factors failed to predict disease severity. Akkermansia muciniphila, often associated with MS, exhibited variable associations with EAE severity depending on the background microbiota. Significant inter-individual disease course variations were observed among mice harbouring the same microbiota. Evaluation of microbial functional characteristics and host immune responses demonstrated that the immunoglobulin A coating index of certain bacteria before disease onset is a robust individualized predictor of disease development. Our study highlights the need to consider microbial community networks and host-specific bidirectional interactions when aiming to predict severity of neuroinflammation.

Indexed as

Disease Models, AnimalEncephalomyelitis, Autoimmune, ExperimentalGastrointestinal MicrobiomeMultiple SclerosisAkkermansiaAnimalsBacteriaFemaleHumansImmunoglobulin AMiceMice, Inbred C57BLRisk FactorsSeverity of Illness IndexImmunoglobulin A

Identifiers

PMID39009690
PMCPMC11371644

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.