Identification of key candidate genes and pathways revealing the protective effect of liraglutide on diabetic cardiac muscle by integrated bioinformatics analysis | Zendy

Ying Dong | Zendy; Yan Shi | Zendy; Guoyan Li | Zendy; Minnan Wang | Zendy; Lei Leng | Zendy; Qiang Li | Zendy

Open Access

Identification of key candidate genes and pathways revealing the protective effect of liraglutide on diabetic cardiac muscle by integrated bioinformatics analysis

Author(s) -

Ying Dong,

Yan Shi,

Guoyan Li,

Minnan Wang,

Lei Leng,

Qiang Li

Publication year - 2020

Publication title -

annals of translational medicine

Language(s) - English

Resource type - Journals

eISSN - 2305-5847

pISSN - 2305-5839

DOI - 10.21037/atm.2020.01.94

Subject(s) - kegg , liraglutide , biology , signal transduction , gene , bioinformatics , computational biology , gene expression , genetics , diabetes mellitus , endocrinology , type 2 diabetes , transcriptome

Our data showed that Glp-1 could decrease the protein expression of p38, JNK, ERK1/2, and MARS proteins induced by high glucose (22 mM, 72 h). This study highlights the potential physiological processes that take place in diabetic cardiac muscles exposed to liraglutide. Our findings elucidated the regulatory network in diabetic cardiomyopathy and might provide a novel diagnostic and therapeutic target for diabetic cardiomyopathy.

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