open access

Vol 71, No 1 (2020)
Original Paper
Published online: 2019-11-26
Submitted: 2019-07-22
Accepted: 2019-09-23
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Screening of potential biomarkers in the occurrence and development of type 1 diabetes mellitus based on transcriptome analysis

Jianhua Kang, Xingya Shen, Lishun Yang, Shaohua Feng, Deilai Li, Haisheng Yuan
DOI: 10.5603/EP.a2019.0060
·
Endokrynologia Polska 2020;71(1):58-65.

open access

Vol 71, No 1 (2020)
Original Paper
Published online: 2019-11-26
Submitted: 2019-07-22
Accepted: 2019-09-23

Abstract

Introduction: The aim of the study was to reveal the mechanisms for the pathogenesis and progression of type 1 diabetes mellitus (T1DM).

Material and methods: Two mRNA expression profiles and two miRNA expression profiles were downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs), differentially expressed miRNAs (DEMs), functional enrichment analyses, pathways, putative targets for DEMs and the miRNA-gene pairs, protein-protein pairs of DEGs, and PPI network were constructed.

Results: Based on mRNA expression profiles, 37 and 110 DEGs were identified, and named as DEGs-short and DEGs-long, respectively. Based on miRNA expression profiles, 15 and six DEMs were identified, and named as DEMs-short and DEMs-long, respectively. DEGs-short were enriched in six GO terms and four pathways, and DEGs-long enriched in 40 GO terms and 10 pathways. Seventeen miRNA-gene pairs for DEMs-short were screened out; hisa-miR-181a and hisa-miR-181c were involved in the most pairs. Twenty pairs for DEMs-long were obtained; hsa-miR-338-3p was involved in all the pairs. KLRD1 was involved in more pairs in the network of DEGs-short. ACTA2 and USP9Y were involved in more pairs in the network of DEGs-long.

Conclusions: KLRD1, hisa-miR-181a, and hisa-miR-181c might be pathogenic biomarkers for T1DM, ACTA2, USP9Y, and hsa-miR-338-3p progressive biomarkers of T1DM. 

Abstract

Introduction: The aim of the study was to reveal the mechanisms for the pathogenesis and progression of type 1 diabetes mellitus (T1DM).

Material and methods: Two mRNA expression profiles and two miRNA expression profiles were downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs), differentially expressed miRNAs (DEMs), functional enrichment analyses, pathways, putative targets for DEMs and the miRNA-gene pairs, protein-protein pairs of DEGs, and PPI network were constructed.

Results: Based on mRNA expression profiles, 37 and 110 DEGs were identified, and named as DEGs-short and DEGs-long, respectively. Based on miRNA expression profiles, 15 and six DEMs were identified, and named as DEMs-short and DEMs-long, respectively. DEGs-short were enriched in six GO terms and four pathways, and DEGs-long enriched in 40 GO terms and 10 pathways. Seventeen miRNA-gene pairs for DEMs-short were screened out; hisa-miR-181a and hisa-miR-181c were involved in the most pairs. Twenty pairs for DEMs-long were obtained; hsa-miR-338-3p was involved in all the pairs. KLRD1 was involved in more pairs in the network of DEGs-short. ACTA2 and USP9Y were involved in more pairs in the network of DEGs-long.

Conclusions: KLRD1, hisa-miR-181a, and hisa-miR-181c might be pathogenic biomarkers for T1DM, ACTA2, USP9Y, and hsa-miR-338-3p progressive biomarkers of T1DM. 

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Keywords

type 1 diabetes mellitus (T1DM); pathogenesis; progression; transcriptome analysis

About this article
Title

Screening of potential biomarkers in the occurrence and development of type 1 diabetes mellitus based on transcriptome analysis

Journal

Endokrynologia Polska

Issue

Vol 71, No 1 (2020)

Pages

58-65

Published online

2019-11-26

DOI

10.5603/EP.a2019.0060

Bibliographic record

Endokrynologia Polska 2020;71(1):58-65.

Keywords

type 1 diabetes mellitus (T1DM)
pathogenesis
progression
transcriptome analysis

Authors

Jianhua Kang
Xingya Shen
Lishun Yang
Shaohua Feng
Deilai Li
Haisheng Yuan

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