Evidence map›Paper›PMID 39192135›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Identifying a Gene Deficiency in the Antiviral Innate Immune Signaling Pathway.

Lijuan Qiu, Xiaoli He, Chunfu Zheng, Li Li

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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. Review
  2. 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

4 authors.

Lijuan Qiu *Kunming Key Laboratory of Children Infection and Immunity, Yunnan Key Laboratory of Children's Major Disease Research, Yunnan Institute of Pediatrics, Yunnan Province Clinical Research Center for Children's Health and Disease, Kunming Children's Hospital, Kunming, Yunnan, China.
Xiaoli He *Kunming Key Laboratory of Children Infection and Immunity, Yunnan Key Laboratory of Children's Major Disease Research, Yunnan Institute of Pediatrics, Yunnan Province Clinical Research Center for Children's Health and Disease, Kunming Children's Hospital, Kunming, Yunnan, China.
Chunfu ZhengDepartment of Microbiology, Immunology and Infectious Diseases, University of Calgary, Calgary, AB, Canada.
Li LiKunming Key Laboratory of Children Infection and Immunity, Yunnan Key Laboratory of Children's Major Disease Research, Yunnan Institute of Pediatrics, Yunnan Province Clinical Research Center for Children's Health and Disease, Kunming Children's Hospital, Kunming, Yunnan, China. lili10@kmmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Innate immunity is an important defense barrier for the human body. After viral pathogen-associated molecular patterns (PAMPs) are detected by host-pathogen recognition receptors (PRRs), the associated signaling pathways trigger the activation of the interferon (IFN) regulatory factor (IRF) family members and the nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB). However, any gene defects among the signaling adaptors will compromise innate immune efficiency. Therefore, investigating genetic defects in the antiviral innate immune signaling pathway is important. We summarize the commonly used research methods related to antiviral immune gene defects and outline the relevant research protocols, which will help investigators study antiviral innate immunity.

Indexed as

Immunity, InnateSignal TransductionAnimalsHost-Pathogen InteractionsHumansInterferon Regulatory FactorsNF-kappa BReceptors, Pattern RecognitionVirus DiseasesInterferon Regulatory FactorsNF-kappa BReceptors, Pattern RecognitionAntiviralDeficiencyInnate immune

Identifiers

PMID39192135

What OpenQuestion holds

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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.