Evidence map›Paper›PMID 35336746›Full record

ReviewBiology2022

NF-κB Signaling and Inflammation-Drug Repurposing to Treat Inflammatory Disorders?

Annabell Roberti, Laura Elizabeth Chaffey, David R Greaves

Open access · goldAbstract readReview
In one paragraph

Review in Biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
6.4field-weighted citation impact, top 2% 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

57 citing papers in PubMed, 76 citations in OpenAlex.

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  18. Preventive nutrition and food science · 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

3 authors at 1 institution in 1 country.

Annabell RobertiSir William Dunn School of Pathology, University of Oxford, South Parks Road, Oxford OX1 3RE, UK.ORCID 0000-0002-4958-548X
Laura Elizabeth ChaffeySir William Dunn School of Pathology, University of Oxford, South Parks Road, Oxford OX1 3RE, UK.
David R GreavesSir William Dunn School of Pathology, University of Oxford, South Parks Road, Oxford OX1 3RE, UK.ORCID 0000-0003-2856-9410
University of Oxford · GB

Funding

British Heart Foundation FS/18/63/34/84British Heart Foundation RG/15/10/31485British Heart Foundation RG/15/10/3/485Medical Research Council DTA MR/N013468/1
6 · The paper itself

Abstract

NF-κB is a central mediator of inflammation, response to DNA damage and oxidative stress. As a result of its central role in so many important cellular processes, NF-κB dysregulation has been implicated in the pathology of important human diseases. NF-κB activation causes inappropriate inflammatory responses in diseases including rheumatoid arthritis (RA) and multiple sclerosis (MS). Thus, modulation of NF-κB signaling is being widely investigated as an approach to treat chronic inflammatory diseases, autoimmunity and cancer. The emergence of COVID-19 in late 2019, the subsequent pandemic and the huge clinical burden of patients with life-threatening SARS-CoV-2 pneumonia led to a massive scramble to repurpose existing medicines to treat lung inflammation in a wide range of healthcare systems. These efforts continue and have proven to be controversial. Drug repurposing strategies are a promising alternative to de novo drug development, as they minimize drug development timelines and reduce the risk of failure due to unexpected side effects. Different experimental approaches have been applied to identify existing medicines which inhibit NF-κB that could be repurposed as anti-inflammatory drugs.

Indexed as

autoimmunityCOVID-19drug developmentdrug repurposinginflammationmultiple sclerosisNF-κBrheumatoid arthritis

Identifiers

PMID35336746
PMCPMC8945680
OpenAlexW4214654635

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.