Evidence map›Paper›PMID 15743493›Full record

ReviewArthritis research & therapy2005

Amplification of autoimmune disease by infection.

David N Posnett, Dmitry Yarilin

Open access · diamondAbstract readReview
In one paragraph

Review in Arthritis research & therapy, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

10 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. The Role of Exposomes in the Pathophysiology of Autoimmune Diseases II: Pathogens.Pathophysiology : the official journal of the International Society for Pathophysiology · 2022
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Murine gammaherpesvirus 68 infection protects lupus-prone mice from the development of autoimmunity.Proceedings of the National Academy of Sciences of the United States of America · 2012
    Article
  9. Review
  10. 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

2 authors at 1 institution in 1 country.

David N PosnettImmunology Program, Graduate School of Medical Sciences, Weill Medical College, Cornell University, Ithaca, NY, USA.
Dmitry Yarilin
Cornell University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reports of infection with certain chronic persistent microbes (herpesviruses or Chlamydiae) in human autoimmune diseases are consistent with the hypothesis that these microbes are reactivated in the setting of immunodeficiency and often target the site of autoimmune inflammation. New experimental animal models demonstrate the principle. A herpesvirus or Chlamydia species can be used to infect mice with induced transient autoimmune diseases. This results in increased disease severity and even relapse. The evidence suggests that the organisms are specifically imported to the inflammatory sites and cause further tissue destruction, especially when the host is immunosuppressed. We review the evidence for the amplification of autoimmune inflammatory disease by microbial infection, which may be a general mechanism applicable to many human diseases. We suggest that patients with autoimmune disorders receiving immunosuppressing drugs should benefit from preventive antiviral therapy.

Indexed as

AnimalsAntiviral AgentsAutoimmune DiseasesBiological TransportChlamydia InfectionsChlamydophila InfectionsEncephalomyelitis, Autoimmune, ExperimentalHerpesviridae InfectionsHumansImmunocompromised HostImmunosuppressive AgentsInflammationMiceModels, ImmunologicalOrgan SpecificityParvoviridae InfectionsAntiviral AgentsImmunosuppressive Agents

Identifiers

PMID15743493
PMCPMC1065340
OpenAlexW1539790722

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.