Evidence map›Paper›PMID 34100959›Full record

ArticleJournal of molecular medicine (Berlin, Germany)2021

Spinal fluid IgG antibodies from patients with demyelinating diseases bind multiple sclerosis-associated bacteria.

Emily Eckman, Jon D Laman, Kael F Fischer, Bert Lopansri, Tom B Martins, Harry R Hill, John D Kriesel

Open access · hybridAbstract read
In one paragraph

Article in Journal of molecular medicine (Berlin, Germany), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Intrathecal Anti-Journal of clinical medicine · 2025
    Article
  4. Article
  5. Role ofNutrients · 2023
    Review
  6. Review
  7. Review
  8. Review
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

7 authors at 3 institutions in 2 countries.

Emily EckmanDepartment of Internal Medicine, Division of Infectious Disease, University of Utah School of Medicine, Salt Lake City, UT, USA.
Jon D LamanDepartment Biomedical Sciences of Cells & Systems, University Medical Center Groningen, Groningen, The Netherlands.
Kael F FischerDepartment of Internal Medicine, Division of Infectious Disease, University of Utah School of Medicine, Salt Lake City, UT, USA.
Bert LopansriDepartment of Internal Medicine, Division of Infectious Disease, University of Utah School of Medicine, Salt Lake City, UT, USA.
Tom B MartinsDepartment of Pathology, ARUP Laboratories, Salt Lake City, UT, USA.
Harry R HillDepartment of Pathology, ARUP Laboratories, Salt Lake City, UT, USA.
John D KrieselDepartment of Internal Medicine, Division of Infectious Disease, University of Utah School of Medicine, Salt Lake City, UT, USA. john.kriesel@hsc.utah.edu.ORCID 0000-0003-4861-7723
University of Utah · USARUP Laboratories (United States) · USUniversity Medical Center Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A panel of 10 IgG enzyme-linked immunosorbent assays (ELISAs) were developed for the detection of anti-microbial immune responses in the cerebrospinal fluid (CSF) of patients with demyelinating diseases (DD). The anti-microbial ELISA assays follow on prior human brain tissue RNA sequencing studies that established multiple sclerosis (MS) microbial candidates. Lysates included in the ELISA panel were derived from Akkermansia muciniphila, Atopobium vaginae, Bacteroides fragilis, Lactobacillus paracasei, Odoribacter splanchnicus, Pseudomonas aeruginosa, Cutibacterium (Propionibacterium) acnes, Fusobacterium necrophorum, Porphyromonas gingivalis, and Streptococcus mutans. CSF responses from patients with demyelinating diseases (DD, N = 14) were compared to those with other neurological diseases (OND, N = 8) and controls (N = 13). Commercial positive and negative control CSF specimens were run with each assay. ELISA index values were derived for each specimen against each of the 10 bacterial lysates. CSF reactivity was significantly higher in the DD group compared to the controls against Akkermansia, Atopobium, Bacteroides, Lactobacillus, Odoribacter, and Fusobacterium. Four of the 11 tested DD group subjects had elevated antibody indexes against at least one of the 10 bacterial species, suggesting intrathecal antibody production. This CSF serological study supports the hypothesis that several of the previously identified MS candidate microbes contribute to demyelination in some patients. KEY MESSAGES: A panel of 10 IgG enzyme-linked immunosorbent assays (ELISAs) were developed for the detection of anti-microbial immune responses in the cerebrospinal fluid (CSF) of patients with demyelinating diseases, including multiple sclerosis and acute disseminated encephalomyelitis. CSF reactivity was significantly higher in the demyelination group compared to the controls against the bacteria Akkermansia, Atopobium, Bacteroides, Lactobacillus, Odoribacter, and Fusobacterium. Several of the demyelination subjects had elevated antibody indexes against at least one of the 10 antigens, suggesting at least limited intrathecal production of anti-bacterial antibodies. This CSF serological study supports the hypothesis that several of the previously identified MS candidate microbes contribute to demyelination in some patients.

Indexed as

AdolescentAdultAgedAntibodies, BacterialAutoantibodiesBacteriaCerebrospinal FluidFemaleHumansImmunoglobulin GMaleMiddle AgedMultiple SclerosisPolyradiculoneuropathyYoung AdultAntibodies, BacterialAutoantibodiesImmunoglobulin GBacteriaCerebrospinal fluidDemyelinationMultiple sclerosisPathogenesisSerology

Identifiers

PMID34100959
PMCPMC8185491
OpenAlexW3165888657

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.