Evidence map›Paper›PMID 23983678›Full record

ArticlePPAR research2013

PPARγ Agonists in Adaptive Immunity: What Do Immune Disorders and Their Models Have to Tell Us?

Laurindo Ferreira da Rocha Junior, Andréa Tavares Dantas, Angela Luzia Branco Pinto Duarte, Moacyr Jesus Barreto de Melo Rego, Ivan da Rocha Pitta, Maira Galdino da Rocha Pitta

Open access · goldAbstract read
In one paragraph

Article in PPAR research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

18 citing papers in PubMed, 32 citations in OpenAlex.

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  9. PPAR research · 2018
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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

6 authors at 2 institutions in 1 country.

Laurindo Ferreira da Rocha JuniorServiço de Reumatologia do Hospital das Clínicas da Universidade Federal de Pernambuco (HC-UFPE), Recife 50670-901, PE, Brazil ; Laboratório de Imunomodulação e Novas Abordagens Terapêuticas (LINAT), Núcleo de Pesquisa em Inovação Terapêutica (NUPIT SG), Universidade Federal de Pernambuco (UFPE), Recife 50670-901, PE, Brazil.
Andréa Tavares Dantas
Angela Luzia Branco Pinto Duarte
Moacyr Jesus Barreto de Melo Rego
Ivan da Rocha Pitta
Maira Galdino da Rocha Pitta
Universidade Federal de Pernambuco · BRHospital das Clínicas da Universidade Federal de Pernambuco · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adaptive immunity has evolved as a very powerful and highly specialized tool of host defense. Its classical protagonists are lymphocytes of the T- and B-cell lineage. Cytokines and chemokines play a key role as effector mechanisms of the adaptive immunity. Some autoimmune and inflammatory diseases are caused by disturbance of the adaptive immune system. Recent advances in understanding the pathogenesis of autoimmune diseases have led to research on new molecular and therapeutic targets. PPAR γ are members of the nuclear receptor superfamily and are transcription factors involved in lipid metabolism as well as innate and adaptive immunity. PPAR γ is activated by synthetic and endogenous ligands. Previous studies have shown that PPAR agonists regulate T-cell survival, activation and T helper cell differentiation into effector subsets: Th1, Th2, Th17, and Tregs. PPAR γ has also been associated with B cells. The present review addresses these issues by placing PPAR γ agonists in the context of adaptive immune responses and the relation of the activation of these receptors with the expression of cytokines involved in adaptive immunity.

Identifiers

PMID23983678
PMCPMC3747405
OpenAlexW2102545802

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.