Evidence map›Paper›PMID 23532211›Full record

ArticleOchsner journal2013

Do multiple nuclear factor kappa B activation mechanisms explain its varied effects in the heart?

Rajesh Kumar, Qian Chen Yong, Candice M Thomas

Open access · greenAbstract read
In one paragraph

Article in Ochsner journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 30% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
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  6. Broadly active zinc finger protein-guided transcriptional activation of HIV-1.Molecular therapy. Methods & clinical development · 2021
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  9. Cardiomyocyte-SpecificJournal of the American Heart Association · 2019
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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.

Rajesh KumarDivision of Molecular Cardiology, College of Medicine, Texas A&M Health Science Center, Scott & White Healthcare, and Central Texas Veterans Health Care System, Temple, TX.
Qian Chen Yong
Candice M Thomas
Texas A&M Health Science Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple studies have demonstrated the important role of the nuclear factor kappa B (NF-κB) in cardiac pathology. However, these studies' conclusions differ regarding whether NF-κB is protective or detrimental for heart function. This disagreement is not surprising considering the complexity of NF-κB signaling that involves multiple components and regulation at several steps. Furthermore, NF-κB is a pleiotropic transcription factor that receives signals from multiple pathways, including the renin-angiotensin system (RAS) and cytokines, 2 important modulators of cardiac remodeling.

methodsIn this article, we review studies related to the role and mechanisms of NF-κB activation in the heart, particularly with regard to the RAS, inflammation, and diabetes. The objective of this review is to consolidate multiple, often contradictory, findings to develop a clear understanding of NF-κB signaling in the heart.

conclusionsThe studies we review demonstrate that NF-κB effects in the heart are mechanism specific and that NF-κB signaling is cyclical. Consequently, the timing of NF-κB measurement is critical, and studies focused on temporal changes in the NF-κB mechanism would help clarify its multiple roles in cardiac pathophysiology.

Indexed as

Cytokinesdiabetes mellitusheartNF-kappa Brenin-angiotensin system

Identifiers

PMID23532211
PMCPMC3603179
OpenAlexW104350330

What OpenQuestion 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 OpenQuestion graph.