Evidence map›Paper›PMID 27610390›Full record

ReviewJournal of diabetes research2016

Metainflammation in Diabetic Coronary Artery Disease: Emerging Role of Innate and Adaptive Immune Responses.

Vivekanandhan Aravindhan, Haridoss Madhumitha

Open access · goldAbstract readReview
In one paragraph

Review in Journal of diabetes research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

20 citing papers in PubMed, 44 citations in OpenAlex.

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  16. TAK-875 MitigatesJournal of diabetes research · 2019
    Article
  17. Observational
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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

2 authors at 2 institutions in 1 country.

Vivekanandhan AravindhanDepartment of Genetics, Dr. ALM. PG. IBMS, University of Madras, Chennai 600113, India.ORCID 0000-0002-5639-4948
Haridoss MadhumithaAU-KBC Research Centre, MIT Campus of Anna University, Chennai 600044, India.
Anna University, Chennai · INUniversity of Madras · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Globally, noncommunicable chronic diseases such as Type-2 Diabetes Mellitus (T2DM) and Coronary Artery Disease (CAD) are posing a major threat to the world. T2DM is known to potentiate CAD which had led to the coining of a new clinical entity named diabetic CAD (DM-CAD), leading to excessive morbidity and mortality. The synergistic interaction between these two comorbidities is through sterile inflammation which is now being addressed as metabolic inflammation or metainflammation, which plays a pivotal role during both early and late stages of T2DM and also serves as a link between T2DM and CAD. This review summarises the current concepts on the role played by both innate and adaptive immune responses in setting up metainflammation in DM-CAD. More specifically, the role played by innate pattern recognition receptors (PRRs) like Toll-like receptors (TLRs), NOD1-like receptors (NLRs), Rig-1-like receptors (RLRs), and C-type lectin like receptors (CLRs) and metabolic endotoxemia in fuelling metainflammation in DM-CAD would be discussed. Further, the role played by adaptive immune cells (Th1, Th2, Th17, and Th9 cells) in fuelling metainflammation in DM-CAD will also be discussed.

Indexed as

Adaptive ImmunityCoronary Artery DiseaseDEAD Box Protein 58Diabetes Mellitus, Type 2HumansImmunity, InnateInflammationLectins, C-TypeNLR ProteinsReceptors, Pattern RecognitionTh17 CellsTh1 CellsTh2 CellsT-LymphocytesToll-Like ReceptorsDEAD Box Protein 58Lectins, C-TypeNLR ProteinsReceptors, Pattern RecognitionToll-Like Receptors

Identifiers

PMID27610390
PMCPMC5004008
OpenAlexW2515597096

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.