Evidence map›Paper›PMID 34117978›Full record

ReviewMolecular biology reports2021

Treg cells in atherosclerosis.

Rebecca Kuan, Devendra K Agrawal, Finosh G Thankam

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular biology reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

34 citing papers in PubMed, 43 citations in OpenAlex.

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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.

Rebecca KuanDepartment of Translational Research, Western University of Health Sciences, 309 E. Second Street, Pomona, CA, 91766-1854, USA.
Devendra K AgrawalDepartment of Translational Research, Western University of Health Sciences, 309 E. Second Street, Pomona, CA, 91766-1854, USA.
Finosh G ThankamDepartment of Translational Research, Western University of Health Sciences, 309 E. Second Street, Pomona, CA, 91766-1854, USA. FThankam@westernu.edu.ORCID http://orcid.org/0000-0001-7285-9808
Western University of Health Sciences · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atherosclerosis involves both innate and adaptive immunity. Here, we provide an overview of the role of regulatory T (Treg) cells in atherosclerotic diseases. Treg cells and their inhibitory cytokines, IL-10 and TGF-β, have been identified in atherosclerotic lesions and to inhibit progression through lipoprotein metabolism modulation. Treg cells have also been found to convert to T follicular helper (Tfh) cells and promote atherosclerosis progression. Treg cell involvement in different stages of atherosclerotic progression and Treg cell-mediated modulation of plaque development occurs via inflammation suppression and atheroma formation has been focused. Moreover, existing knowledge suggests that Treg cells are likely involved in the pathology of other specific circumstances including in-stent restenosis, neointimal hyperplasia, vessel graft failure, and ischemic arterial injury; however, there remain gaps regarding their specific contribution. Hence, advancements in the knowledge regarding Treg cells in diverse aspects of atherosclerosis offer translational significance for the management of atherosclerosis and associated diseases.

Indexed as

T-Lymphocytes, RegulatoryAtherosclerosisCytokinesHumansInflammationInterleukin-10Plaque, AtheroscleroticTransforming Growth Factor betaCytokinesInterleukin-10Transforming Growth Factor betaAtherosclerosisIn-stent restenosisNeointimal hyperplasiaTfh cellsTreg cells

Identifiers

PMID34117978
OpenAlexW3172287051

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.