Evidence map›Paper›PMID 41115930›Full record

ArticleNPJ biofilms and microbiomes2025

Multiple sclerosis patients exhibit oral dysbiosis with decreased early colonizers and lower hypotaurine level.

Rachel L Fitzjerrells, Leeann Aguilar Meza, Meeta Yadav, Heena Olalde, Jemmie Hoang, Mishelle Paullus, Catherine Cherwin, Tracey A Cho, Grant Brown, Sukirth M Ganesan and 1 more

Abstract read
In one paragraph

Article in NPJ biofilms and microbiomes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Rachel L FitzjerrellsInterdisciplinary Graduate Program in Informatics, University of Iowa, Iowa City, IA, USA.ORCID http://orcid.org/0000-0001-8788-0984
Leeann Aguilar MezaHolden Comprehensive Cancer Center, University of Iowa, Iowa City, IA, USA.
Meeta YadavDepartment of Pathology, Carver College of Medicine, University of Iowa, Iowa City, IA, USA.
Heena OlaldeDepartment of Neurology, University of Iowa Health Care, Iowa City, IA, USA.
Jemmie HoangCollege of Nursing University of Iowa, Iowa City, IA, USA.
Mishelle PaullusDepartment of Neurology, University of Iowa Health Care, Iowa City, IA, USA.
Catherine CherwinCollege of Nursing University of Iowa, Iowa City, IA, USA.
Tracey A ChoDepartment of Neurology, University of Iowa Health Care, Iowa City, IA, USA.
Grant BrownDepartment of Biostatistics, University of Iowa, Iowa City, IA, USA.
Sukirth M GanesanDepartment of Periodontics, University of Iowa College of Dentistry and Dental Clinics, Iowa City, IA, USA.
Ashutosh K MangalamInterdisciplinary Graduate Program in Informatics, University of Iowa, Iowa City, IA, USA. ashutosh-mangalam@uiowa.edu.ORCID http://orcid.org/0000-0002-9926-2531

Funding

Pulmonary Toxicology Facility CoreP30ES005605 · NIEHS · UNIVERSITY OF IOWA · PI Jong Sung Kim · 1990 to 2026
$40.5M
University of Iowa Institutional Training Program in Oral Health ResearchT90DE023520 · NIDCR · UNIVERSITY OF IOWA · PI STEVEN M. LEVY · 2013 to 2026
$5.6M
Exploratory Center of Excellence for Advancing Multimorbidity Science (CAMS)P20NR018081 · NINR · UNIVERSITY OF IOWA · PI WILLIAMS, JANET K. · 2018 to 2022
$2.2M
Linking diet, gut microbiota and autoimmune disease: Bacteria induced phytoestrogen metabolites impact immune function in Experimental Autoimmune EncephalitisR01AI137075 · NIAID · UNIVERSITY OF IOWA · PI MANGALAM, ASHUTOSH KUMAR · 2018 to 2022
$2.0M
Metabolic Syndrome, Periodontal Health, and the Oral MicrobiomeR03DE030527 · NIDCR · UNIVERSITY OF IOWA · PI GANESAN, SUKIRTH MURTHY · 2022 to 2023
$309k
The oral microbiome as a window into the pathobiology of multiple sclerosis, leading to new ideas for personalized microbial therapiesF31DE033564 · NIDCR · UNIVERSITY OF IOWA · PI FITZJERRELLS, RACHEL LYNN · 2023 to 2023
$44k
CSRD VA I01 CX002212National Institute of Allergy and Infectious Diseases 1RO1AI137075NIAID NIH HHS R01 AI137075NIDCR NIH HHS F31 DE033564NIDCR NIH HHS F31DE033564NIDCR NIH HHS R03 DE030527NIDCR NIH HHS R03DE030527NIDCR NIH HHS T90 DE023520NIDCR NIH HHS T90DE023520NIEHS NIH HHS P30 ES005605NINR NIH HHS 1P20NR018081-01NINR NIH HHS P20 NR018081U.S. Department of Veterans Affairs 1I01CX002212
6 · The paper itself

Abstract

Although gut microbiome dysbiosis is implicated in the pathobiology of multiple sclerosis (MS), the role of the oral microbiome (OM), the second largest microbiome, remains poorly understood. Additionally, while the salivary metabolome has been linked to other neurodegenerative diseases; its role in people with Relapsing-Remitting MS (pwRRMS), the most prevalent form of MS, is unknown. Combining shotgun metagenomics with untargeted metabolomics, we identified a reduced abundance of several early colonizing species including Streptococcus and Actinomyces in pwRRMS and an enrichment of bacteria with pathogenic potential including Fusobacterium nucleatum, Porphyromonas gingivalis, and several Prevotella species. pwRRMS had an altered metabolite profile including a decreased hypotaurine compared to healthy controls. Thus we report altered oral microbiome and metabolome in pwRRMS which might contribute to MS pathobiology. These findings offer potential microbiome-metabolome based diagnostic biomarkers for MS and pave the way for novel therapeutic interventions to improve disease management and patient outcomes.

Indexed as

BacteriaDysbiosisMouthMultiple SclerosisMultiple Sclerosis, Relapsing-RemittingTaurineActinomycesAdultFemaleFusobacterium nucleatumHumansMaleMetabolomeMetabolomicsMetagenomicsMicrobiotaTaurine

Identifiers

PMID41115930
PMCPMC12537959

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.