Bioinformatics analysis for identifying micro-RNAs, long noncoding RNAs, transcription factors, and immune genes regulatory networks in diabetic cardiomyopathy using an integrated bioinformatics analysis-Reference-Cited by-同舟云学术

Bioinformatics analysis for identifying micro-RNAs, long noncoding RNAs, transcription factors, and immune genes regulatory networks in diabetic cardiomyopathy using an integrated bioinformatics analysis

Published:2022-04-19 Issue:7-8 Volume:71 Page:847-858
ISSN:1023-3830
Container-title:Inflammation Research
language:en
Short-container-title:Inflamm. Res.

Author:

Zhou Jiefang,Ji Xiaowei,Zhang Fangfang,Yan Kefeng,Huang Peng,Huang Chunyan^ORCID

Funder

Wenzhou Municipal Science and Technology Bureau

Publisher

Springer Science and Business Media LLC

Subject

Pharmacology,Immunology

Link

https://link.springer.com/content/pdf/10.1007/s00011-022-01571-5.pdf

Reference35 articles.

1. Tan Y, et al. Mechanisms of diabetic cardiomyopathy and potential therapeutic strategies: preclinical and clinical evidence. Nat Rev Cardiol. 2020;17(9):585–607.

2. Jakubik D, et al. MicroRNAs and long non-coding RNAs in the pathophysiological processes of diabetic cardiomyopathy: emerging biomarkers and potential therapeutics. Cardiovasc Diabetol. 2021;20(1):1–29.

3. Djordjevic DB, et al. Diabetic cardiomyopathy: clinical and metabolic approach. Curr Vasc Pharmacol. 2021;19(5):487–98.

4. Paolillo S, et al. Diabetic cardiomyopathy: definition, diagnosis, and therapeutic implications. Heart Fail Clin. 2019;15(3):341–7.

5. Lee MMY, et al. Diabetic cardiomyopathy. Heart. 2019;105(4):337–45.

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3. Correction to: Bioinformatics analysis for identifying micro-RNAs, long noncoding RNAs, transcription factors, and immune genes regulatory networks in diabetic cardiomyopathy using an integrated bioinformatics analysis;Inflammation Research;2022-06-10