Evidence map›Paper›PMID 29439290›Full record

ReviewArthritis & rheumatology (Hoboken, N.J.)2018

Review: Cell Death, Nucleic Acids, and Immunity: Inflammation Beyond the Grave.

Keith B Elkon

Open access · greenAbstract readReview
In one paragraph

Review in Arthritis & rheumatology (Hoboken, N.J.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% 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

65 citing papers in PubMed, 1 synthesis or guideline pooled it, 92 citations in OpenAlex.

  1. Pooled it
  2. Review
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  8. Article
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  17. Systemic Lupus Erythematosus and Cytokine Storm.Advances in experimental medicine and biology · 2024
    Review
  18. Review
  19. Article
  20. Review

5 more citing papers are in PubMed but not listed here.

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

1 author at 1 institution in 1 country.

Keith B ElkonUniversity of Washington, Seattle.
University of Washington · US

Funding

Mechanisms of Ultraviolet Inflammation in LupusR21ES024437 · NIEHS · UNIVERSITY OF WASHINGTON · PI ELKON, KEITH B. · 2014 to 2015
$479k
Link between Retroelements, Ro and Interferon Biology in LupusR21AR072377 · NIAMS · UNIVERSITY OF WASHINGTON · PI ELKON, KEITH B. · 2017 to 2018
$426k
NIAMS NIH HHS R21 AR072377NIEHS NIH HHS R21 ES024437
6 · The paper itself

Abstract

Cells of the innate immune system are rigged with sensors that detect nucleic acids derived from microbes, especially viruses. It has become clear that these same sensors that respond to nucleic acids derived from damaged cells or defective intracellular processing are implicated in triggering diseases such as lupus and arthritis. The ways in which cells die and the concomitant presence of proteins and peptides that allow nucleic acids to re-enter cells profoundly influence innate immune responses. In this review, we briefly discusses different types of programmed necrosis, such as pyroptosis, necroptosis, and NETosis, and explains how nucleic acids can engage intracellular receptors and stimulate inflammation. Host protective mechanisms that include compartmentalization of receptors and nucleases as well as the consequences of nuclease deficiencies are explored. In addition, proximal and distal targets in the nucleic acid stimulation of inflammation are discussed in terms of their potential amenability to therapy for the attenuation of innate immune activation and disease pathogenesis.

Indexed as

Cell DeathHumansImmunity, InnateInflammationNucleic AcidsNucleic Acids

Identifiers

PMID29439290
PMCPMC5984680
OpenAlexW2789590575

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.