Evidence map›Paper›PMID 41438768›Full record

ArticleFrontiers in immunology2025

Exhaustion of NK cells and interferon activation in anti-MDA5

Chenyi Shao, Yan Zhen, Nana Xia, Xueliang Zhang, Ninghui Yan, Mengmeng Zhou, Yiyuan Guo, Limin Tan, Qiang Guo

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

9 authors.

Chenyi Shao *Department of Rheumatology, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital, Shanghai, China.
Yan Zhen *Department of Rheumatology, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital, Shanghai, China.
Nana XiaDepartment of Rheumatology, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital, Shanghai, China.
Xueliang ZhangDepartment of Rheumatology, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital, Shanghai, China.
Ninghui YanDepartment of Rheumatology, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital, Shanghai, China.
Mengmeng ZhouDepartment of Rheumatology, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital, Shanghai, China.
Yiyuan GuoVanke Bilingual High School, Shanghai, China.
Limin TanDepartment of Rheumatology, Jiading District Central Hospital Affiliated Shanghai University of Medicine & Health Sciences, Shanghai, China.
Qiang GuoDepartment of Rheumatology, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to investigate the role of natural killer (NK) cell and interferon (IFN) signaling in the peripheral circulation of anti-MDA5 Methods: Peripheral blood mononuclear cells (PBMCs) from six newly diagnosed, active anti-MDA5 Results: ScRNA-seq revealed widespread activation of IFN responses in PBMCs from anti-MDA5 Conclusion: Excessive IFN activation drives NK cell apoptosis in anti-MDA5

Indexed as

DermatomyositisInterferon-Induced Helicase, IFIH1Killer Cells, NaturalLung Diseases, InterstitialAdultApoptosisFemaleHumansMaleMiddle AgedSingle-Cell Gene Expression AnalysisIFIH1 protein, humanInterferon-Induced Helicase, IFIH1apoptosisdermatomyositis (DM)interferoninterstitial lung disease (ILD)natural killer (NK) cellsingle-cell sequencing

Identifiers

PMID41438768
PMCPMC12719299

What OpenQuestion holds

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Registered trials

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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.