Evidence map›Paper›PMID 35926770›Full record

ReviewAutoimmunity reviews2022

Friend or foe: RIG- I like receptors and diseases.

Jie Song, Muyuan Li, Caiyan Li, Ke Liu, Yaxi Zhu, Huali Zhang

Open access · greenAbstract readReview
In one paragraph

Review in Autoimmunity reviews, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

26 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Article
  3. Frontiers in immunology · 2026
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  4. Article
  5. Review
  6. Review
  7. Review
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  9. Review
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  11. Review
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  13. Frontiers in immunology · 2025
    Article
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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

6 authors at 2 institutions in 1 country.

Jie SongDepartment of Rheumatology, Xiangya Hospital, Central South University, Changsha City, Hunan Province, China; Department of Pathophysiology, Xiangya School of Medicine, Central South University, Changsha City, Hunan Province, China; Sepsis Translational Medicine Key Lab of Hunan Province, Central South University, Changsha City, Hunan Province, China.
Muyuan LiDepartment of Rheumatology, Xiangya Hospital, Central South University, Changsha City, Hunan Province, China; Department of Pathophysiology, Xiangya School of Medicine, Central South University, Changsha City, Hunan Province, China; Sepsis Translational Medicine Key Lab of Hunan Province, Central South University, Changsha City, Hunan Province, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha City, Hunan Province, China.
Caiyan LiDepartment of Rheumatology, Xiangya Hospital, Central South University, Changsha City, Hunan Province, China; Department of Pathophysiology, Xiangya School of Medicine, Central South University, Changsha City, Hunan Province, China; Sepsis Translational Medicine Key Lab of Hunan Province, Central South University, Changsha City, Hunan Province, China.
Ke LiuDepartment of Rheumatology, Xiangya Hospital, Central South University, Changsha City, Hunan Province, China; Department of Pathophysiology, Xiangya School of Medicine, Central South University, Changsha City, Hunan Province, China; Sepsis Translational Medicine Key Lab of Hunan Province, Central South University, Changsha City, Hunan Province, China.
Yaxi ZhuDepartment of Rheumatology, Xiangya Hospital, Central South University, Changsha City, Hunan Province, China; Department of Pathophysiology, Xiangya School of Medicine, Central South University, Changsha City, Hunan Province, China; Sepsis Translational Medicine Key Lab of Hunan Province, Central South University, Changsha City, Hunan Province, China. Electronic address: zhu_yaxi@csu.edu.cn.
Huali ZhangDepartment of Rheumatology, Xiangya Hospital, Central South University, Changsha City, Hunan Province, China; Department of Pathophysiology, Xiangya School of Medicine, Central South University, Changsha City, Hunan Province, China; Sepsis Translational Medicine Key Lab of Hunan Province, Central South University, Changsha City, Hunan Province, China. Electronic address: zhanghuali@csu.edu.cn.
Xiangya Hospital Central South University · CNCentral South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Retinoic acid-inducible gene I (RIG-I)-like receptors (RLRs), which are pivotal sensors of RNA virus invasions, mediate the transcriptional induction of genes encoding type I interferons (IFNs) and proinflammatory cytokines, successfully establishing host antiviral immune response. A few excellent reviews have elaborated on the structural biology of RLRs and the antiviral mechanisms of RLR activation. In this review, we give a basic understanding of RLR biology and summarize recent findings of how RLR signaling cascade is strictly controlled by host regulatory mechanisms, which include RLR-interacting proteins, post-translational modifications and microRNAs (miRNAs). Furthermore, we pay particular attention to the relationship between RLRs and diseases, especially how RLRs participate in SARS-CoV-2, malaria or bacterial infections, how single-nucleotide polymorphisms (SNPs) or mutations in RLRs and antibodies against RLRs lead to autoinflammatory diseases and autoimmune diseases, and how RLRs are involved in anti-tumor immunity. These findings will provide insights and guidance for antiviral and immunomodulatory therapies targeting RLRs.

Indexed as

COVID-19Interferon Type IMicroRNAsAntiviral AgentsCytokinesHumansImmunity, InnateSARS-CoV-2TretinoinAntiviral AgentsCytokinesInterferon Type IMicroRNAsTretinoinAutoimmune diseasesAutoinflammatory diseasesMDA5RIG-IRLRs

Identifiers

PMID35926770
PMCPMC9343065
OpenAlexW4289318102

What Socratic holds

Textmetadata
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 Socratic graph.