Evidence map›Paper›PMID 18657264›Full record

ArticleCardiovascular diabetology2008

Interaction between Calpain 5, Peroxisome proliferator-activated receptor-gamma and Peroxisome proliferator-activated receptor-delta genes: a polygenic approach to obesity.

María E Sáez, Antonio Grilo, Francisco J Morón, Luis Manzano, María T Martínez-Larrad, Antonio González-Pérez, Javier Serrano-Hernando, Agustín Ruiz, Reposo Ramírez-Lorca, Manuel Serrano-Ríos

Open access · goldAbstract read
In one paragraph

Article in Cardiovascular diabetology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 27% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
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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

10 authors at 3 institutions in 1 country.

María E SáezDepartamento de Genómica Estructural, Neocodex, C/.,Charles Darwin 6, Acc. A, 41092, Sevilla, Spain. mesaez@neocodex.es
Antonio Grilo
Francisco J Morón
Luis Manzano
María T Martínez-Larrad
Antonio González-Pérez
Javier Serrano-Hernando
Agustín Ruiz
Reposo Ramírez-Lorca
Manuel Serrano-Ríos
Hospital Clínico San Carlos · ESHospital Universitario de Valme · ESInstituto de Medicina Genómica · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextObesity is a multifactorial disorder, that is, a disease determined by the combined effect of genes and environment. In this context, polygenic approaches are needed.

objectiveTo investigate the possibility of the existence of a crosstalk between the CALPAIN 10 homologue CALPAIN 5 and nuclear receptors of the peroxisome proliferator-activated receptors family.

designCross-sectional, genetic association study and gene-gene interaction analysis. SUBJECTS: The study sample comprise 1953 individuals, 725 obese (defined as body mass index > or = 30) and 1228 non obese subjects.

resultsIn the monogenic analysis, only the peroxisome proliferator-activated receptor delta (PPARD) gene was associated with obesity (OR = 1.43 [1.04-1.97], p = 0.027). In addition, we have found a significant interaction between CAPN5 and PPARD genes (p = 0.038) that reduces the risk for obesity in a 55%.

conclusionOur results suggest that CAPN5 and PPARD gene products may also interact in vivo.

Indexed as

CalpainCross-Sectional StudiesGene FrequencyGenotypeHumansObesityPolymorphism, GeneticPPAR deltaPPAR gammaCalpainCapn5 protein, humanPPAR deltaPPAR gamma

Identifiers

PMID18657264
PMCPMC2527300
OpenAlexW2093955929

What OpenQuestion holds

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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.