Evidence map›Paper›PMID 37287491›Full record

ArticleBiophysics reports2021

What do we know about IL-6 in COVID-19 so far?

Jingrui Jiang, Jun Wang, Lulu Yao, Shenghan Lai, Xueji Zhang

Open access · diamondAbstract read
In one paragraph

Article in Biophysics reports, 2021. 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
0.1field-weighted citation impact, top 58% 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. Review
  2. Review
  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

5 authors at 4 institutions in 2 countries.

Jingrui JiangTongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Jun WangDepartment of Biomedicine and Biopharmacology, Hubei University of Technology, Wuhan 430068, China.
Lulu YaoDepartment of Biomedicine and Biopharmacology, Hubei University of Technology, Wuhan 430068, China.
Shenghan LaiDepartment of Pathology, Johns Hopkins University School of Medicine, MD 21287, USA.
Xueji ZhangGuangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), School of Biomedical Engineering, Shenzhen University, Shenzhen 518037, Guangdong, China.
Hubei University of Technology · CNHuazhong University of Science and Technology · CNJohns Hopkins University · USShenzhen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interleukin 6 (IL-6) is a cytokine with dual functions of pro-inflammation and anti-inflammation. It is mainly produced by mononuclear macrophages, Th2 cells, vascular endothelial cells and fibroblasts. IL-6 binds to glycoprotein 130 and one of these two receptors, membrane-bound IL-6R or soluble IL-6R, forming hexamer (IL-6/IL-6R/gp130), which then activates different signaling pathways (classical pathway, trans-signaling pathway) to exert dual immune-modulatory effects of anti-inflammation or pro-inflammation. Abnormal levels of IL-6 can cause multiple pathological reactions, including cytokine storm. Related clinical studies have found that IL-6 levels in severe COVID-19 patients were much higher than in healthy population. A large number of studies have shown that IL-6 can trigger a downstream cytokine storm in patients with COVID-19, resulting in lung damages, aggravating clinical symptoms and developing excessive inflammation and acute respiratory distress syndrome (ARDS). Monoclonal antibodies against IL-6 or IL-6R, such as tocilizumab, sarilumab, siltuximab and olokizumab may serve as therapeutic options for COVID-19 infection.

Indexed as

COVID-19Cytokine stormIL-6IL-6RMonoclonal antibody

Identifiers

PMID37287491
PMCPMC10244797
OpenAlexW3182038357

What OpenQuestion holds

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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.