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Transcriptome expression profiles associated with diabetic nephropathy development.

Jing Jing1,2, Liyuan Song2, Dan Zuo2

  • 1Department of Endocrinology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China.

Molecular and Cellular Biochemistry
|March 31, 2022
PubMed
Summary
This summary is machine-generated.

This study identified key messenger RNAs (mRNAs), long noncoding RNAs (lncRNAs), and circular RNAs (circRNAs) involved in diabetic nephropathy (DN) progression. Specific circRNAs like circ_0005379 show potential as diagnostic biomarkers for DN.

Keywords:
Diabetic nephropathyTranscriptome sequencingcircRNAslncRNAsmRNAs

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Area of Science:

  • Genomics
  • Molecular Biology
  • Nephrology

Background:

  • Diabetic nephropathy (DN) is a major complication of diabetes mellitus, characterized by progressive kidney damage.
  • Identifying molecular markers for early diagnosis and understanding pathogenic mechanisms are crucial for effective DN management.

Purpose of the Study:

  • To identify differentially expressed mRNAs, lncRNAs, and circRNAs in peripheral blood associated with DN pathogenesis.
  • To explore the diagnostic and therapeutic potential of these noncoding RNAs in DN progression.
  • To construct a regulatory network involving microRNAs (miRNAs), circRNAs, and mRNAs.

Main Methods:

  • Transcriptome sequencing was performed on peripheral blood samples from patients with normoalbuminuria, microalbuminuria, macroalbuminuria, and healthy controls.
  • Differential expression analysis, functional enrichment analysis, and Short Time-series Expression Miner (STEM) analysis were conducted.
  • A miRNA-circRNA-mRNA regulatory network was constructed, and candidate biomarkers were validated using quantitative PCR (qPCR).

Main Results:

  • Significant numbers of differentially expressed mRNAs, lncRNAs, and circRNAs were identified across different stages of DN compared to controls.
  • Functional enrichment analysis revealed involvement in pathways related to insulin resistance, inflammation, and endodeoxyribonuclease activity.
  • Three circRNAs (circ_0005379, circ_0002024, and circ_0000567) were validated as potential biomarkers for DN.

Conclusions:

  • Aberrantly expressed mRNAs, lncRNAs, and circRNAs play a role in the development of diabetic nephropathy.
  • Specific circRNAs, including circ_0005379, circ_0002024, and circ_0000567, demonstrate potential as non-invasive biomarkers for DN diagnosis.
  • The identified regulatory networks provide insights into the molecular mechanisms underlying DN.