Evidence map›Paper›PMID 23544116›Full record

ArticlePloS one2013

Expression levels of obesity-related genes are associated with weight change in kidney transplant recipients.

Ann Cashion, Ansley Stanfill, Fridtjof Thomas, Lijing Xu, Thomas Sutter, James Eason, Mang Ensell, Ramin Homayouni

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.5field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 38 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

8 authors at 3 institutions in 1 country.

Ann CashionDepartment of Acute and Chronic Care, College of Nursing, University of Tennessee Health Science Center, Memphis, Tennessee, United States of America. ann.cashion@nih.gov
Ansley Stanfill
Fridtjof Thomas
Lijing Xu
Thomas Sutter
James Eason
Mang Ensell
Ramin Homayouni
University of Tennessee Health Science Center · USUniversity of Memphis · USMethodist University Hospital · US

Funding

Biomarkers to Predict Patient Outcomes and Guide TherapiesZIANR000030 · NINR · NATIONAL INSTITUTE OF NURSING RESEARCH · PI CASHION, ANN · 2014 to 2019
$10.0M
PHS HHS 009270-0352PHS HHS R01 009270
6 · The paper itself

Abstract

backgroundThe aim of this study was to investigate the association of gene expression profiles in subcutaneous adipose tissue with weight change in kidney transplant recipients and to gain insights into the underlying mechanisms of weight gain. METHODOLOGY/PRINCIPAL

findingsA secondary data analysis was done on a subgroup (n = 26) of existing clinical and gene expression data from a larger prospective longitudinal study examining factors contributing to weight gain in transplant recipients. Measurements taken included adipose tissue gene expression profiles at time of transplant, baseline and six-month weight, and demographic data. Using multivariate linear regression analysis controlled for race and gender, expression levels of 1553 genes were significantly (p<0.05) associated with weight change. Functional analysis using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes classifications identified metabolic pathways that were enriched in this dataset. Furthermore, GeneIndexer literature mining analysis identified a subset of genes that are highly associated with obesity in the literature and Ingenuity pathway analysis revealed several significant gene networks associated with metabolism and endocrine function. Polymorphisms in several of these genes have previously been linked to obesity. CONCLUSIONS/SIGNIFICANCE: We have successfully identified a set of molecular pathways that taken together may provide insights into the mechanisms of weight gain in kidney transplant recipients. Future work will be done to determine how these pathways may contribute to weight gain.

Indexed as

Gene Expression RegulationGenetic Predisposition to DiseaseKidney TransplantationAdultAgedCluster AnalysisGene Regulatory NetworksHumansMaleMiddle AgedMolecular Sequence AnnotationObesityPrincipal Component AnalysisTranscriptomeWeight GainYoung Adult

Identifiers

PMID23544116
PMCPMC3609773
OpenAlexW2071961158

What OpenQuestion holds

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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.