Cited by 27Cancer-related molecular mechanisms researchCircular RNAs in diseasesMicroRNA in disease regulation

Relationships of Non-coding RNA with diabetes and depression

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An, Tian, Zhang, Jing, Ma, Yue, Lian, Juan, Wu, Yan-Xiang, Lv, Bo-Han, Ma, Meng-Hua, Meng, Jun-Hua +5 more·2019·Scientific Reports

Abstract

In order to study the molecular differences between type 2 diabetes mellitus (T2DM) and T2DM with depression (DD), we aimed to screen the differential expression of lncRNA, mRNA, and circRNA in the blood of patients with T2DM and DD. Based on the self-rating depression scale (SDS), patient health questionnaire 9 (PHQ9), blood glucose and HbA1c, we divided the patients into T2DM and DD group. Peripheral blood was collected from the two groups of patients to perform lncRNA, mRNA, and circRNA expression profiling and screening DD-related specific molecules. Subsequently, bioinformatics analysis was performed to investigate the functions of differentially expressed genes (DEgenes). Finally, RT-PCR and lncRNA-mRNA regulatory network was performed to verify the expressions of lncRNAs and mRNAs related to the occurrence and development of DD. 28 lncRNAs, 107 circRNAs, and 89 mRNAs were identified in DD differential expression profiles. GO and pathway analysis found that 20 biological process (BP) related entities and 20 pathways associated with DD. The analysis shows that the genes that are differentially expressed in the DD group involved in the development of the neuropsychiatric system, immunity, and inflammation. Then, we screening for the important DElncRNA and mRNA associated with DD were verified by RT-PCR experiments and the results of RT-PCR were consistent with the sequencing results. LncRNA, circRNA, and mRNA differential expression profiles exist in DD patients compared with T2DM. The lncRNA-mRNA regulatory network analysis confirmed the crosslinking and complex regulation patterns of lncRNA and mRNA expression and verified the authenticity of the regulatory network.

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  1. [5]Lee SY Choi SH Depression and Mortality in Type 2 Diabetes Mellitus [J]. Diabetes & Metabolism Journal 2017 41 4 263 PMC5583403 28868823

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Authors
An, T., Zhang, J., Ma, Y., Lian, J., Wu, Y.-X., Lv, B.-H., Ma, M.-H., Meng, J.-H., Zhou, Y.-T., Zhang, Z.-Y., Liu, Q., Gao, S.-H., & Jiang, G.-J.
Affiliations
Beijing University of Chinese Medicine (CN)
Corresponding author
Gao, Si-Hua
Venue
Scientific Reports
Published
2019-07-24
Volume
9
Issue
1
Pages
10707-10707
ISSN
2045-2322 (ISSN-L)
OpenAlex
W2963493545
Cited by
27
References
40
Citations by year
2026: 1 · 2025: 1 · 2024: 3 · 2023: 4 · 2022: 3 · 2021: 7 · 2020: 8
FWCI
1.42
Type
journal article
Language
en
Open access
Locations
  • Scientific Reports (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
National Natural Science Foundation of China (81774171)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer-related molecular mechanisms research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Circular RNAs in diseases
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
Keywords
type 2 diabetes, depression, long non-coding RNA, circular RNA, mRNA expression profiling, peripheral blood, lncRNA-mRNA regulatory network, differential gene expression, inflammation, immunity
MeSH terms
Aged, Depression, Diabetes Mellitus, Type 2, Female, Humans, Male, Middle Aged, RNA, Messenger, RNA, Untranslated, Gene Regulatory Networks, Transcriptome

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