Evidence map›Paper›PMID 29770204›Full record

ReviewF1000Research2018

Diverse pro-inflammatory endotoxin recognition systems of mammalian innate immunity.

Jerrold Weiss, Jason Barker

Open access · goldAbstract readReview
In one paragraph

Review in F1000Research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

11 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Lipopolysaccharide of theBiomolecules · 2021
    Review
  6. Article
  7. Review
  8. Recent Advances in Lipopolysaccharide Recognition Systems.International journal of molecular sciences · 2020
    Review
  9. Review
  10. The Role ofPathogens (Basel, Switzerland) · 2019
    Review
  11. 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

2 authors at 1 institution in 1 country.

Jerrold WeissInflammation Program and Departments of Internal Medicine and Microbiology, University of Iowa, Iowa City, Iowa, USA.
Jason BarkerInflammation Program and Departments of Internal Medicine and Microbiology, University of Iowa, Iowa City, Iowa, USA.ORCID https://orcid.org/0000-0001-6679-1026
University of Iowa · US

Funding

The Structural Determinants of Innate Immune Modulation by Francisella LPSR01AI104728 · NIAID · UNIVERSITY OF IOWA · PI BARKER, JASON HOLT · 2014 to 2018
$1.9M
NIAID NIH HHS R01 AI104728
6 · The paper itself

Abstract

In humans and other mammals, recognition of endotoxins-abundant surface lipopolysaccharides (LPS) of Gram-negative bacteria-provides a potent stimulus for induction of inflammation and mobilization of host defenses. The structurally unique lipid A region of LPS is the principal determinant of this pro-inflammatory activity. This region of LPS is normally buried within the bacterial outer membrane and aggregates of purified LPS, making even more remarkable its picomolar potency and the ability of discrete variations in lipid A structure to markedly alter the pro-inflammatory activity of LPS. Two recognition systems-MD-2/TLR4 and "LPS-sensing" cytosolic caspases-together confer LPS responsiveness at the host cell surface, within endosomes, and at sites physically accessible to the cytosol. Understanding how the lipid A of LPS is delivered and recognized at these diverse sites is crucial to understanding how the magnitude and character of the inflammatory responses are regulated.

Indexed as

caspase-11caspase-4caspase-5CD14LBPlipopolysaccharideMD-2non-canonical inflammasomeTLR4

Identifiers

PMID29770204
PMCPMC5931271
OpenAlexW2802890766

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.