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将高通量研究的基因组数据与计算模型相结合,揭示了 1 型和 2 型糖尿病唾液分泌减少的分子基础的差异。

Integrating genomic data from high-throughput studies with computational modeling reveals differences in the molecular basis of hyposalivation between type 1 and type 2 diabetes.

机构信息

The Goodman faculty of life sciences, Nanotechnology building, Bar Ilan University, 52900, Ramat Gan, Israel.

出版信息

Clin Oral Investig. 2018 Jan;22(1):151-159. doi: 10.1007/s00784-017-2094-2. Epub 2017 Mar 3.

Abstract

OBJECTIVES

Both type 1 and type 2 diabetes are accompanied by a high prevalence of hyposalivation (decreased salivary secretion), resulting in oral tissue damage. However, the molecular basis for the hyposalivation is yet unknown. Identifying genes and proteins that account for diabetes-related hyposalivation will help understanding the basis for this condition and identifying disease biomarkers in saliva.

MATERIALS AND METHODS

We integrated genomic data from 110 high-throughput studies with computational modeling, to explore the relationship between diabetes and salivary glands on a genomic scale.

RESULTS

A significant overlap exists between genes that are altered in both types of diabetes and genes that are expressed in salivary glands; 87 type 1 diabetes and 34 type 2 diabetes associated genes are also common to salivary glands. However, the overlap between these genes is not significant.

CONCLUSIONS

Type 1 and type 2 diabetes associated genes are involved in the salivary secretion process, but mostly at different parts of it. This suggests that type 1 and type 2 diabetes impair salivary secretion by affecting different processes in the salivary tissue.

CLINICAL RELEVANCE

The genomic characteristics of Type 1 and type 2 diabetes may explain differences in salivary gland tissues morphology and saliva composition in people with diabetes, and suggest candidate proteins for diabetes salivary biomarkers.

摘要

目的

1 型和 2 型糖尿病都伴有高患病率的唾液分泌减少(唾液分泌减少),导致口腔组织损伤。然而,唾液分泌减少的分子基础尚不清楚。鉴定与糖尿病相关的唾液分泌减少相关的基因和蛋白质将有助于理解这种情况的基础,并鉴定唾液中的疾病生物标志物。

材料和方法

我们整合了 110 项高通量研究的基因组数据和计算建模,从基因组水平探索糖尿病与唾液腺之间的关系。

结果

在两种类型的糖尿病中改变的基因与在唾液腺中表达的基因之间存在显著重叠;87 个 1 型糖尿病和 34 个 2 型糖尿病相关基因也与唾液腺共有。然而,这些基因之间的重叠并不显著。

结论

1 型和 2 型糖尿病相关基因参与唾液分泌过程,但主要在不同部位。这表明 1 型和 2 型糖尿病通过影响唾液组织中的不同过程来损害唾液分泌。

临床意义

1 型和 2 型糖尿病的基因组特征可以解释糖尿病患者唾液腺组织形态和唾液成分的差异,并为糖尿病唾液生物标志物的候选蛋白提供依据。

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