Evidence map›Paper›PMID 31293595›Full record

ReviewFrontiers in immunology2019

Fine-Tuning of Type I Interferon Response by STAT3.

Ming-Hsun Tsai, Li-Mei Pai, Chien-Kuo Lee

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 3% 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

82 citing papers in PubMed, 1 synthesis or guideline pooled it, 121 citations in OpenAlex.

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22 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

3 authors at 2 institutions in 1 country.

Ming-Hsun TsaiGraduate Institute of Immunology, National Taiwan University College of Medicine, Taipei, Taiwan.
Li-Mei PaiDepartment of Biochemistry and Molecular Biology, Chang Gung University, Taoyuan, Taiwan.
Chien-Kuo LeeGraduate Institute of Immunology, National Taiwan University College of Medicine, Taipei, Taiwan.
National Taiwan University · TWChang Gung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type I interferon (IFN-I) is induced during innate immune response and is required for initiating antiviral activity, growth inhibition, and immunomodulation. STAT1, STAT2, and STAT3 are activated in response to IFN-I stimulation. STAT1, STAT2, and IRF9 form ISGF3 complex which transactivates downstream IFN-stimulated genes and mediates antiviral response. However, the role of STAT3 remains to be characterized. Here, we review the multiple actions of STAT3 on suppressing IFN-I responses, including blocking IFN-I signaling, downregulating the expression of ISGF3 components, and antagonizing the transcriptional activity of ISGF3. Finally, we discuss the evolution of the suppressive activity of STAT3 and the therapeutic potential of STAT3 inhibitors in host defense against viral infections and IFN-I-associated diseases.

Indexed as

Gene Expression RegulationHumansInterferon-Stimulated Gene Factor 3, gamma SubunitInterferon Type IPhospholipid Transfer ProteinsSignal TransductionSTAT3 Transcription FactorSuppressor of Cytokine Signaling 3 ProteinVirus DiseasesInterferon-Stimulated Gene Factor 3, gamma SubunitInterferon Type IIRF9 protein, humanPhospholipid Transfer ProteinsPLSCR2 protein, humanSOCS3 protein, humanSTAT3 protein, humanSTAT3 Transcription FactorSuppressor of Cytokine Signaling 3 Proteinantiviral immunityphospholipid scramblase 2SOCS3STAT3type I interferon (IFN-I)

Identifiers

PMID31293595
PMCPMC6606715
OpenAlexW2956030496

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.