Evidence map›Paper›PMID 29503968›Full record

ArticleCurrent opinion in toxicology2018

Environmental Xenobiotic Exposure and Autoimmunity.

K Michael Pollard, Joseph M Christy, David M Cauvi, Dwight H Kono

Open access · greenAbstract read
In one paragraph

Article in Current opinion in toxicology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 20% 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 53 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Effect of Age on Xenobiotic-Induced Autoimmunity.bioRxiv : the preprint server for biology · 2025
    Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Review
  15. The Role of Exposomes in the Pathophysiology of Autoimmune Diseases I: Toxic Chemicals and Food.Pathophysiology : the official journal of the International Society for Pathophysiology · 2021
    Review
  16. Review
  17. Article
  18. Mechanisms of Environment-Induced Autoimmunity.Annual review of pharmacology and toxicology · 2021
    Article
  19. Article
  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

4 authors at 2 institutions in 1 country.

K Michael PollardDepartment of Molecular Medicine, MEM125, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA, USA 92037.
Joseph M ChristyDepartment of Molecular Medicine, MEM125, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA, USA 92037.
David M CauviDepartment of Surgery, School of Medicine, University of California, San Diego, 9500 Gilman Drive #0739, La Jolla, CA, USA 92093.
Dwight H KonoDepartment of Immunology and Microbiology, IMM310, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA, USA 92037.
Scripps Research Institute · USUniversity of California, San Diego · US

Funding

Influence of Innate Immunity on Xenobiotic-Induced Systemic AutoimmunityR01ES021464 · NIEHS · SCRIPPS RESEARCH INSTITUTE, THE · PI POLLARD, KENNETH MICHAEL · 2013 to 2017
$3.4M
Xenobiotic-Induced Type 1 Interferon-Independent AutoimmunityR01ES022625 · NIEHS · SCRIPPS RESEARCH INSTITUTE, THE · PI POLLARD, KENNETH MICHAEL · 2014 to 2018
$2.1M
MERCURY INDUCED AUTOIMMUNITYR01ES007511 · NIEHS · SCRIPPS RESEARCH INSTITUTE, THE · PI POLLARD, KENNETH MICHAEL · 1997 to 2007
$2.1M
Role of Daf in Systemic AutoimmunityR01ES014847 · NIEHS · SCRIPPS RESEARCH INSTITUTE, THE · PI POLLARD, KENNETH MICHAEL · 2008 to 2012
$1.9M
Genetics of Autoimmune Hemolytic AnemiaR01HL114408 · NHLBI · SCRIPPS RESEARCH INSTITUTE, THE · PI KONO, DWIGHT H · 2013 to 2016
$1.9M
TLR Transporters in LupusR01AI136492 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI KONO, DWIGHT H · 2018 to 2021
$1.5M
Endosomal TLR transport in B cell signaling and autoimmunityR01AI144070 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI KONO, DWIGHT H · 2019 to 2023
$1.3M
NHLBI NIH HHS R01 HL114408NIAID NIH HHS R01 AI136492NIAID NIH HHS R01 AI144070NIEHS NIH HHS R01 ES007511NIEHS NIH HHS R01 ES014847NIEHS NIH HHS R01 ES021464NIEHS NIH HHS R01 ES022625
6 · The paper itself

Abstract

Susceptibility to autoimmune diseases is dependent on multigenic inheritance, environmental factors, and stochastic events. Although there has been substantial progress in identifying predisposing genetic variants, a significant challenge facing autoimmune disease research is the identification of the specific events that trigger loss of tolerance, autoreactivity and ultimately autoimmune disease. Accordingly, studies have indicated that a wide range of extrinsic factors including drugs, chemicals, microbes, and other environmental factors can induce autoimmunity, particularly systemic autoimmune diseases such as lupus. This review describes a class of environmental factors, namely xenobiotics, epidemiologically linked to human autoimmunity. Mechanisms of xenobiotic autoimmune disease induction are discussed in terms of human and animal model studies with a focus on the role of inflammation and the innate immune response. We argue that localized tissue damage and chronic inflammation elicited by xenobiotic exposure leads to the release of self-antigens and damage-associated molecular patterns as well as the appearance of ectopic lymphoid structures and secondary lymphoid hypertrophy, which provide a milieu for the production of autoreactive B and T cells that contribute to the development and persistence of autoimmunity in predisposed individuals.

Indexed as

animal modelautoimmunityepidemiologyinflammationxenobiotic

Identifiers

PMID29503968
PMCPMC5831116
OpenAlexW2769334550

What OpenQuestion holds

Textmetadata
LicenceTDM
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.