Evidence map›Paper›PMID 23657602›Full record

SynthesisMolecular biology reports2013

Transcriptome meta-analysis of peripheral lymphomononuclear cells indicates that gestational diabetes is closer to type 1 diabetes than to type 2 diabetes mellitus.

C V A Collares, A F Evangelista, D J Xavier, P Takahashi, R Almeida, C Macedo, F Manoel-Caetano, M C Foss, M C Foss-Freitas, D M Rassi and 3 more

Open access · greenAbstract readComparative StudyMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Molecular biology reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
5.4field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 30 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

13 authors at 2 institutions in 1 country.

C V A CollaresDivision of Clinical Immunology, Department of Medicine, Faculty of Medicine of Ribeirão Preto, University of São Paulo, Avenida Bandeirantes 3900, Monte Alegre, Ribeirão Preto, SP, 14049-900, Brazil.
A F Evangelista
D J Xavier
P Takahashi
R Almeida
C Macedo
F Manoel-Caetano
M C Foss
M C Foss-Freitas
D M Rassi
E T Sakamoto-Hojo
G A Passos
E A Donadi
Universidade de São Paulo · BRUniversidade de Ribeirão Preto · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We performed a meta-analysis of the transcription profiles of type 1, type 2 and gestational diabetes to evaluate similarities and dissimilarities among these diabetes types. cRNA samples obtained from peripheral blood lymphomononuclear cells (PBMC) of 56 diabetes mellitus patients (type 1 = 19; type 2 = 20; gestational = 17) were hybridized to the same whole human genome oligomicroarray platform, encompassing 44,000 transcripts. The GeneSpring software was used to perform analysis and hierarchical clustering, and the DAVID database was used for gene ontology. The gene expression profiles showed more similarity between gestational and type 1 diabetes rather than between type 2 and gestational diabetes, a finding that was not influenced by patient gender and age. The meta-analysis of the three types of diabetes disclosed 3,747 differentially and significantly expressed genes. A total of 486 genes were characteristic of gestational diabetes, 202 genes of type 1, and 651 genes of type 2 diabetes. 19 known genes were shared by type 1, type 2 and gestational diabetes, highlighting EGF, FAM46C, HBEGF, ID1, SH3BGRL2, VEPH1, and TMEM158 genes. The meta-analysis of PBMC transcription profiles characterized each type of diabetes revealing that gestational and type 1 diabetes were transcriptionally related.

Indexed as

AdultAgedCluster AnalysisDiabetes, GestationalDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2FemaleGene Expression ProfilingHumansLeukocytes, MononuclearMaleMicroarray AnalysisMiddle AgedPregnancyRNA, ComplementaryRNA, Complementary

Identifiers

PMID23657602
OpenAlexW2049582555

What OpenQuestion holds

Textmetadata
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.