Evidence map›Paper›PMID 34819357›Full record

ArticleLife science alliance2022

TANK prevents IFN-dependent fatal diffuse alveolar hemorrhage by suppressing DNA-cGAS aggregation.

Atsuko Wakabayashi, Masanori Yoshinaga, Osamu Takeuchi

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Life science alliance, 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
0.2field-weighted citation impact, top 48% 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, 3 citations in OpenAlex.

  1. RNA Metabolism Governs Immune Function and Response.Advances in experimental medicine and biology · 2024
    Review
  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

3 authors at 1 institution in 1 country.

Atsuko WakabayashiDepartment of Medical Chemistry, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Masanori YoshinagaDepartment of Medical Chemistry, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID 0000-0001-5642-9752
Osamu TakeuchiDepartment of Medical Chemistry, Graduate School of Medicine, Kyoto University, Kyoto, Japan otake@mfour.med.kyoto-u.ac.jp.ORCID 0000-0002-1260-6232
Kyoto University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffuse alveolar hemorrhage (DAH) is one of the serious complications associated with systemic lupus erythematosus, an autoimmune disease whose pathogenesis involves type I IFNs and cytokines. Here, we show that TANK, a negative regulator of the NF-κB signaling via suppression of TRAF6 ubiquitination, is critical for the amelioration of fatal DAH caused by lung vascular endothelial cell death in a mouse model of systemic lupus erythematosus. The development of fatal DAH in the absence of TANK is mediated by type I IFN signaling, but not IL-6. We further uncover that STING, an adaptor essential for the signaling of cytoplasmic DNA sensor cyclic GMP-AMP (cGAMP) synthase (cGAS), plays a critical role in DAH under

Indexed as

Adaptor Proteins, Signal TransducingAnimalsBiomarkersBiopsyCyclic Guanosine Monophosphate-Adenosine Monophosphate SynthaseDisease Models, AnimalDisease SusceptibilityDNAHemorrhageImmunity, InnateImmunohistochemistryImmunosuppressive AgentsInterferonsLupus Erythematosus, SystemicMiceMice, KnockoutAdaptor Proteins, Signal TransducingBiomarkerscGAS protein, humanCyclic Guanosine Monophosphate-Adenosine Monophosphate SynthaseDNAImmunosuppressive AgentsInterferonsNucleotidyltransferasespristaneTank protein, mouseTerpenesToll-Like Receptors

Identifiers

PMID34819357
PMCPMC8616552
OpenAlexW3216791598

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.