Evidence map›Paper›PMID 36315570›Full record

ArticlePLoS pathogens2022

An innate ability: How do basal invertebrates manage their chronic exposure to microbes?

Leah M Williams, Thomas D Gilmore

Open access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. 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.

Leah M WilliamsDepartment of Biology, Boston University, Boston, Massachusetts, United States of America.
Thomas D GilmoreDepartment of Biology, Boston University, Boston, Massachusetts, United States of America.ORCID 0000-0002-1910-768X
Boston University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Homologs of mammalian innate immune sensing and downstream pathway proteins have been discovered in a variety of basal invertebrates, including cnidarians and sponges, as well as some single-celled protists. Although the structures of these proteins vary among the basal organisms, many of the activities found in their mammalian counterparts are conserved. This is especially true for the Toll-like receptor (TLR) and cGAS-STING pathways that lead to downstream activation of transcription factor NF-κB. In this short perspective, we describe the evidence that TLR and cGAS-STING signaling to NF-κB is also involved in immunity in basal animals, as well as in the maintenance of microbial symbionts. Different from terrestrial animals, immunity in many marine invertebrates might have a constitutively active state (to protect against continual exposure to resident or waterborne microbes), as well as a hyperactive state that can be induced by pathogens at both transcriptional and posttranscriptional levels. Research on basal immunity may be important for (1) understanding different approaches that organisms take to sensing and protecting against microbes, as well as in maintaining microbial symbionts; (2) the identification of novel antimicrobial effector genes and processes; and (3) the molecular pathways that are being altered in basal marine invertebrates in the face of the effects of a changing environment.

Indexed as

NF-kappa BToll-Like ReceptorsAnimalsImmunity, InnateInvertebratesMammalsNucleotidyltransferasesSignal TransductionNF-kappa BNucleotidyltransferasesToll-Like Receptors

Identifiers

PMID36315570
PMCPMC9621439
OpenAlexW4307744116

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.