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Screening of potential biomarkers in the occurrence and development of type 1 diabetes mellitus based on transcriptome analysis
Affiliations- Department of Clinical Laboratory, Tianjin Beichen District Chinese Medicine Hospital, Tianjin, China
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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.
Keywords
type 1 diabetes mellitus (T1DM); pathogenesis; progression; transcriptome analysis
About this articleTitle
Screening of potential biomarkers in the occurrence and development of type 1 diabetes mellitus based on transcriptome analysis
Journal
Issue
Article type
Original paper
Pages
58-65
Published online
2019-11-26
Page views
3274
Article views/downloads
1015
DOI
Pubmed
Bibliographic record
Endokrynol Pol 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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