Evidence map›Paper›PMID 30098304›Full record

ArticleDiabetes/metabolism research and reviews2018

Gene expression profiles of rat MMECs with different glucose levels and fgl2 gene silencing.

Zhenzhong Zheng, Fan Zhang, Dengpeng Gao, Yujing Wu, Hao Wu

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Article in Diabetes/metabolism research and reviews, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Zhenzhong ZhengDepartment of Cardiology, The First Affiliated Hospital of NanchangUniversity, Nanchang, Jiangxi, China.ORCID 0000-0001-9239-3996
Fan ZhangDepartment of Nephrology, People's Hospital of Hunan Province, First Affiliated Hospital of Hunan Normal University, Chang sha, Hunan, China.
Dengpeng GaoDepartment of Cardiology, The First Affiliated Hospital of NanchangUniversity, Nanchang, Jiangxi, China.
Yujing WuDepartment of Cardiology, The First Affiliated Hospital of NanchangUniversity, Nanchang, Jiangxi, China.
Hao WuVascular Biology Program, Boston Children's Hospital and Department of Surgery, Harvard Medical School, Boston, MA, USA.
Nanchang University · CNBoston Children's Hospital · USHunan Normal University · CN

Funding

American Heart Association-American Stroke Association 17SDG33410868
6 · The paper itself

Abstract

backgroundCardiac microvascular endothelial cells (MMECs) is one of the key factors in the process of diabetic cardiomyopathy, a common chronic complication of diabetes. Fibrinogen-like protein 2 (FGL2) is linked to apoptosis, angiogenesis, and inflammatory response, all of which also occur in diabetes. Thus, we investigate the role of FGL 2 and other genes in the pathology of diabetic cardiomyopathy.

methodsIn the present study, we used high-throughput microarray to profile gene expression in rat myocardial MMECs with or without silencing the fgl2 gene and in different glucose environments. We use volcanic maps to isolate genes with significantly different expression levels between conditions, using the standard statistical criteria of fold changes ≥1.5 and P-values ≤0.05. From this list, we identified genes with the most signicant changes in RNA levels and confirmed their protein-level changes with Western blot. Furthermore, bioinformatic analysis predicts possible pathophysiology and clinical relevance of these proteins in diabetic cardiomyopathy.

resultsWe identified 17 upregulated and 15 downregulated genes caused by silencing fgl2 gene. Most of them are involved in metabolism, ion transport, cell membrane surface recognition signal modification, inflammatory response, and immune response. Using Western blot, we were able to confirm protein-level expression changes of three genes. Specifically, in both normal and high glucose conditions, silencing fgl2 significantly decreased the expression levels of CCL3 and PLAGL1 while increasing the expression level of CTSC. Significantly, bioinformatic analyses show that CCL3 is related to type 1 diabetes, PLAGL1 to cardiomyocytes, and CTSC to albuminuria in type 2 diabetes.

conclusionsOur study provides clues for further studies on the mechanism of diabetic cardiomyopathy as well as function of FGL2 in this process, potentially offering new therapeutic strategies for treating diabetic cardiomyopathy.

Indexed as

AnimalsCells, CulturedDiabetic CardiomyopathiesEndothelial CellsFibrinogenGene SilencingGlucoseMicroarray AnalysisMicrovesselsMyocardiumRatsRats, Sprague-DawleyTranscriptomeFibrinogenfibrinogen-like protein 2, ratGlucosediabetic cardiomyopathtyfibrinogen-like protein 2 (FGL2)gene expression profilesmyocardial microvascular endothelial cells (MMECs)

Identifiers

PMID30098304
PMCPMC11035109
OpenAlexW2887470265

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.