Evidence map›Paper›PMID 19586551›Full record

ArticleBMC medical genomics2009

Functional annotations of diabetes nephropathy susceptibility loci through analysis of genome-wide renal gene expression in rat models of diabetes mellitus.

Yaomin Hu, Pamela J Kaisaki, Karène Argoud, Steven P Wilder, Karin J Wallace, Peng Y Woon, Christine Blancher, Lise Tarnow, Per-Henrik Groop, Samy Hadjadj and 8 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Association of CTG repeat polymorphism in carnosine dipeptidase 1 (The Indian journal of medical research · 2016
    Article
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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

18 authors at 8 institutions in 3 countries.

Yaomin HuThe Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK. amin1031@hotmail.com
Pamela J Kaisaki
Karène Argoud
Steven P Wilder
Karin J Wallace
Peng Y Woon
Christine Blancher
Lise Tarnow
Per-Henrik Groop
Samy Hadjadj
Michel Marre
Hans-Henrik Parving
Martin Farrall
Roger D Cox
Mark Lathrop
Nathalie Vionnet
Marie-Thérèse Bihoreau
Dominique Gauguier
University of Oxford · GBCentre for Human Genetics · GBInserm · FRCentre Hospitalier Universitaire de Poitiers · FRCentre National de Recherche en Génomique Humaine · FRMary Lyon Centre at MRC Harwell · GBRigshospitalet · DKSteno Diabetes Center · DK

Funding

Medical Research Council MC_U142661184Wellcome Trust
6 · The paper itself

Abstract

backgroundHyperglycaemia in diabetes mellitus (DM) alters gene expression regulation in various organs and contributes to long term vascular and renal complications. We aimed to generate novel renal genome-wide gene transcription data in rat models of diabetes in order to test the responsiveness to hyperglycaemia and renal structural changes of positional candidate genes at selected diabetic nephropathy (DN) susceptibility loci.

methodsBoth Affymetrix and Illumina technologies were used to identify significant quantitative changes in the abundance of over 15,000 transcripts in kidney of models of spontaneous (genetically determined) mild hyperglycaemia and insulin resistance (Goto-Kakizaki-GK) and experimentally induced severe hyperglycaemia (Wistar-Kyoto-WKY rats injected with streptozotocin [STZ]).

resultsDifferent patterns of transcription regulation in the two rat models of diabetes likely underlie the roles of genetic variants and hyperglycaemia severity. The impact of prolonged hyperglycaemia on gene expression changes was more profound in STZ-WKY rats than in GK rats and involved largely different sets of genes. These included genes already tested in genetic studies of DN and a large number of protein coding sequences of unknown function which can be considered as functional and, when they map to DN loci, positional candidates for DN. Further expression analysis of rat orthologs of human DN positional candidate genes provided functional annotations of known and novel genes that are responsive to hyperglycaemia and may contribute to renal functional and/or structural alterations.

conclusionCombining transcriptomics in animal models and comparative genomics provides important information to improve functional annotations of disease susceptibility loci in humans and experimental support for testing candidate genes in human genetics.

Identifiers

PMID19586551
PMCPMC2717999
OpenAlexW2172122151

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.