Transcriptome meta-analysis of peripheral lymphomononuclear cells indicates that gestational diabetes is closer to type 1 diabetes than to type 2 diabetes mellitus
Transcriptome meta-analysis of peripheral lymphomononuclear cells indicates that gestational diabetes is closer to type 1 diabetes than to type 2 diabetes mellitus
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DOI：
10.1007/s11033-013-2635-y
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发表时间：
2013-09-01
影响因子：
2.8
通讯作者：
Donadi, E. A.
中科院分区：
文献类型：
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作者：
Collares, C. V. A.;Evangelista, A. F.;Donadi, E. A.
我们对 1 型、2 型和妊娠糖尿病的转录谱进行了荟萃分析，以评估这些糖尿病类型之间的相似性和不同点。从 56 名糖尿病患者（1 型 = 19；2 型 = 20；妊娠 = 17）的外周血淋巴单核细胞 (PBMC) 中获得的 cRNA 样本与相同的全人类基因组寡微阵列平台杂交，包含 44,000 个转录本。使用GeneSpring软件进行分析和层次聚类，使用DAVID数据库进行基因本体分析。基因表达谱显示，妊娠期糖尿病和 1 型糖尿病之间的相似性高于 2 型糖尿病和妊娠期糖尿病之间的相似性，这一发现不受患者性别和年龄的影响。对三种类型糖尿病的荟萃分析揭示了 3,747 个差异显着表达的基因。共有486个基因是妊娠糖尿病的特征，202个基因是1型糖尿病的特征，651个基因是2型糖尿病的特征。 1 型、2 型和妊娠糖尿病共有 19 个已知基因，突出显示 EGF、FAM46C、HBEGF、ID1、SH3BGRL2、VEPH1 和 TMEM158 基因。 PBMC 转录谱的荟萃分析表征了每种类型的糖尿病，揭示妊娠期糖尿病和 1 型糖尿病在转录上相关。
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.