Article Data

  • Views 1643
  • Dowloads 179

Original Research

Open Access

COL3A1 induces ischemic heart failure by activating AGE/RAGE pathway

  • Xiao Chen1,2
  • Jiawei Zhang2
  • Tong Li2
  • Zhaosheng Ding2
  • Cao Zou1,*,

1Department of Cardiology, The First Affiliated Hospital of Soochow University, 215006 Suzhou, Jiangsu, China

2Department of Cardiopulmonary Rehabilitation, Jiangsu Rongjun Hospital, 214000 Wuxi, Jiangsu, China

DOI: 10.22514/sv.2022.072 Vol.18,Issue 6,November 2022 pp.45-52

Submitted: 06 June 2022 Accepted: 26 July 2022

Published: 08 November 2022

*Corresponding Author(s): Cao Zou E-mail: nkzc75@suda.edu.cn

Abstract

This study aimed to screening different expression genes (DEGs) related to ischemic heart failure (IHF). For screening DEGs in gene omnibus (GEO) dataset, limma methods were used to screen the significant DEGs between IHF and sham groups. Venn plot was used for the analysis of the intersection DEGs among three GEO datasets (GSE107568, GSE107569, and GSE116250). String and KEGG (kyoto encyclopedia of genes and genomes) pathway were used for the analysis of key DEGs and their associated signal pathway. IHF rats model were established by high ligation of the anterior descending branch of the coronary artery. Functional indices were analyzed using echocardiography. IHF rats were then administrated with AAV-shCOL3A1 to knockdown its expression. The expression of COL3A1 was measured by RNA-sequencing and western blotting. Transmission electron microscope (TEM) assay was used to measure the apoptosis of cardiomyocytes. Serum AGE (advanced glycation end-products), SOD (superoxide dismutase), MDA (malondialdehyde), and LDH (lactate dehydrogenase) levels were determined by enzyme-linked immunosorbent assay (ELISA) kit. Limma analysis discovered 14 upregulated DEGs were involved in three GEO datasets (GSE107568, GSE107569, and GSE116250), and COL3A1 was identified as one of the key genes, which was associated with AGE/RAGE (receptor for advanced glycation end-products) pathway by KEGG enrichment analysis. Western blotting and RNA-Seq indicated that COL3A1 protein and mRNA were highly expressed in IHF rats model as compared to that in sham rats. Pathology photograph analysis showed that COL3A1 deficiency inhibited infarct size in IHF rats. In addition, knockdown of COL3A1 decreased cell apoptosis in IHF rats by transmission electron microscope (TEM) assay. Mechanically, COL3A1 deficiency inhibited IHF development through activating AGE/RAGE signal pathway. The present study suggests that COL3A1 induces IHF progression and development through activating AGE/RAGE pathway.


Keywords

Heart failure; COL3A1; AGE/RAGE pathway; Cell damage and apoptosis


Cite and Share

Xiao Chen,Jiawei Zhang,Tong Li,Zhaosheng Ding,Cao Zou. COL3A1 induces ischemic heart failure by activating AGE/RAGE pathway. Signa Vitae. 2022. 18(6);45-52.

References

[1] Houser SR, Piacentino V 3rd, Weisser J. Abnormalities of calcium cycling in the hypertrophied and failing heart. Journal of Molecular and Cellular Cardiology. 2000; 32: 1595–1607.

[2] Rossman EI, Petre RE, Chaudhary KW, Piacentino V 3rd, Janssen PM, Gaughan JP, et al. Abnormal frequency-dependent responses represent the pathophysiologic signature of contractile failure in human myocardium. Journal of Molecular and Cellular Cardiology. 2004; 36: 33–42.

[3] Kuivaniemi H, Tromp G. Type III collagen (COL3A1): gene and protein structure, tissue distribution, and associated diseases. Gene. 2019; 707: 151–171.

[4] Kitamura M, Shimizu M, Ino H, Okeie K, Yamaguchi M, Fujino N, et al. Collagen remodeling and cardiac dysfunction in patients with hypertrophic cardiomyopathy: the significance of type III and VI collagens. Clinical Cardiology. 2001; 24: 325–329.

[5] Hua X, Wang Y, Jia P, Xiong Q, Hu Y, Chang Y, et al. Multi-level transcriptome sequencing identifies COL1A1 as a candidate marker in human heart failure progression. BMC Medicine. 2020; 18: 2.

[6] Garbi M, McDonagh T, Cosyns B, Bucciarelli-Ducci C, Edvardsen T, Kitsiou A, et al. Appropriateness criteria for cardiovascular imaging use in heart failure: report of literature review. European Heart Journal. Cardiovascular Imaging. 2015; 16: 147–153.

[7] Lang RM, Badano LP, Mor-Avi V, Afilalo J, Armstrong A, Ernande L, et al. Recommendations for cardiac chamber quantification by echocardiography in adults: an update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging. European Heart Journal. Cardiovascular Imaging. 2015; 16: 233–270.

[8] Deten A, Zimmer HG. Heart function and cytokine expression is similar in mice and rats after myocardial infarction but differences occur in TNFalpha expression. Pflugers Arch - European Journal of Physiology.2002; 445: 289–296.

[9] Voigt JU, Pedrizzetti G, Lysyansky P, Marwick TH, Houle H, Baumann R, et al. Definitions for a common standard for 2D speckle tracking echocardiography: consensus document of the EACVI/ASE/industry task force to standardize deformation imaging. European Heart Journal. Cardiovascular Imaging. 2015; 16: 1–11.

[10] Waghela BN, Vaidya FU, Ranjan K, Chhipa AS, Tiwari BS, Pathak C. AGE-RAGE synergy influences programmed cell death signaling to promote cancer. Molecular and Cellular Biochemistry. 2021; 476: 585-598.

[11] Nagy Á, Lánczky A, Menyhárt O, Győrffy B. Validation of miRNA prognostic power in hepatocellular carcinoma using expression data of independent datasets. Scientific Reports. 2018; 8: 9227.

[12] Bolstad BM, Irizarry RA, Astrand M, Speed TP. A comparison of normalization methods for high density oligonucleotide array data based on variance and bias. Bioinformatics. 2003; 19: 185–193.

[13] Smyth GK, Speed T. Normalization of cDNA microarray data. Methods. 2003; 31: 265–273.

[14] Yang YH, Dudoit S, Luu P, Lin DM, Peng V, Ngai J, et al. Normalization for cDNA microarray data: a robust composite method addressing single and multiple slide systematic variation. Nucleic Acids Research. 2002; 30: e15.

[15] Yu G, Wang L, Han Y, He Q. ClusterProfiler: an R Package for comparing biological themes among gene clusters. OMICS: A Journal of Integrative Biology. 2012; 16: 284–287.

[16] Zhou Y, Zhou B, Pache L, Chang M, Khodabakhshi AH, Tanaseichuk O, et al. Metascape provides a biologist-oriented resource for the analysis of systems-level datasets. Nature Communications. 2019; 10: 1523.

[17] Owens NDL, De Domenico E, Gilchrist MJ. An RNA-Seq protocol for differential expression analysis. Cold Spring Harbor Protocols. 2019; 2019: 498–506.

[18] Dong L, Yu L, Bai C, Liu L, Long H, Shi L, et al. USP27-mediated Cyclin E stabilization drives cell cycle progression and hepatocellular tumorigenesis. Oncogene. 2018; 37: 2702–2713.

[19] Miyake S, Murai S, Kakuta S, Uchiyama Y, Nakano H. Identification of the hallmarks of necroptosis and ferroptosis by transmission electron microscopy. Biochemical and Biophysical Research Communications. 2020; 527: 839–844.

[20] Ito K, Murphy D. Application of ggplot2 to pharmacometric graphics. CPT: Pharmacometrics & Systems Pharmacology. 2013; 2: e79.

[21] Davis S, Meltzer PS. GEOquery: a bridge between the gene expression omnibus (GEO) and bioconductor. Bioinformatics. 2007; 23: 1846–1847.

[22] Franceschini A, Szklarczyk D, Frankild S, Kuhn M, Simonovic M, Roth A, et al. STRING v9.1: protein-protein interaction networks, with increased coverage and integration. Nucleic Acids Research. 2013; 41: D808–D815.

[23] Xu Y, Xu Z, An R, Zhang H, Wang X. Revealing the synergistic mechanism of Shenfu Decoction for anti-heart failure through network pharmacology strategy. Chinese Journal of Natural Medicines. 2020; 18: 536–549.

[24] Wang Z, Zhang J, Chen L, Li J, Zhang H, Guo X. Glycine Suppresses AGE/RAGE signaling pathway and subsequent oxidative stress by restoring Glo1 function in the aorta of diabetic rats and in HUVECs. Oxidative Medicine and Cellular Longevity. 2019; 2019: 1–14.

[25] Frangogiannis NG. Cardiac fibrosis: cell biological mechanisms, molecular pathways and therapeutic opportunities. Molecular Aspects of Medicine. 2019; 65: 70–99.

[26] Herpel E, Pritsch M, Koch A, Dengler TJ, Schirmacher P, Schnabel PA. Interstitial fibrosis in the heart: differences in extracellular matrix proteins and matrix metalloproteinases in end-stage dilated, ischaemic and valvular cardiomyopathy. Histopathology. 2006; 48: 736–747.

[27] Tian Y, Xing Y, Zhang Z, Peng R, Zhang L, Sun Y. Bioinformatics analysis of key genes and circRNA-miRNA-mRNA regulatory network in gastric cancer. BioMed Research International. 2020; 2020: 1–16.

[28] Wu Y, Xu Y. Integrated bioinformatics analysis of expression and gene regulation network of COL12A1 in colorectal cancer. Cancer Medicine. 2020; 9: 4743–4755.

[29] Shi Y, Zheng C, Jin Y, Bao B, Wang D, Hou K, et al. Reduced expression of METTL3 promotes metastasis of triple-negative breast cancer by m6A methylation-mediated COL3A1 up-regulation. Frontiers in Oncology. 2020; 10: 1126.

[30] Zhang S, Zhang N, Wang N. Role of COL3A1 and POSTN on pathologic stages of esophageal cancer. Technology in Cancer Research & Treatment. 2020; 19: 153303382097748.

[31] Xu W, Li Z, Zhu X, Xu R, Xu Y. miR-29 Family inhibits resistance to methotrexate and promotes cell apoptosis by targeting COL3A1 and MCL1 in osteosarcoma. Medical Science Monitor. 2018; 24: 8812–8821.

[32] Wang Q, She Y, Bi X, Zhao B, Ruan X, Tan Y. Dexmedetomidine protects PC12 cells from lidocaine-induced cytotoxicity through downregulation of COL3A1 mediated by miR-let-7b. DNA and Cell Biology. 2017; 36: 518- 528.

[33] Clynes R, Moser B, Yan SF, Ramasamy R, Herold K, Schmidt AM. Receptor for AGE (RAGE): weaving tangled webs within the inflammatory response. Current Molecular Medicine. 2007; 7: 743–751.

[34] Schmidt AM. Receptor for age RAGE is a gene within the major histo-compatibility class III region implications for host response mechanisms in homeostasis and chronic disease. Frontiers in Bioscience. 2001; 6: D1151–D1160.

[35] Zhao J, Randive R, Stewart JA. Molecular mechanisms of AGE/RAGE-mediated fibrosis in the diabetic heart. World Journal of Diabetes. 2014; 5: 860–867.

[36] Leurs P, Lindholm B. The AGE-RAGE pathway and its relation to cardiovascular disease in patients with chronic kidney disease. Archives of Medical Research. 2013; 44: 601–610.

[37] Gelain DP, de Bittencourt Pasquali MA, Caregnato FF, Moreira JCF. Vitamin a (retinol) up-regulates the receptor for advanced glycation endproducts (RAGE) through p38 and Akt oxidant-dependent activation. Toxicology. 2011; 289: 38–44.

[38] Tanikawa T, Okada Y, Tanikawa R, Tanaka Y. Advanced glycation end products induce calcification of vascular smooth muscle cells through RAGE/p38 MAPK. Journal of Vascular Research. 2009; 46: 572–580.



Abstracted / indexed in

Science Citation Index Expanded (SciSearch) Created as SCI in 1964, Science Citation Index Expanded now indexes over 9,200 of the world’s most impactful journals across 178 scientific disciplines. More than 53 million records and 1.18 billion cited references date back from 1900 to present.

Journal Citation Reports/Science Edition Journal Citation Reports/Science Edition aims to evaluate a journal’s value from multiple perspectives including the journal impact factor, descriptive data about a journal’s open access content as well as contributing authors, and provide readers a transparent and publisher-neutral data & statistics information about the journal.

Chemical Abstracts Service Source Index The CAS Source Index (CASSI) Search Tool is an online resource that can quickly identify or confirm journal titles and abbreviations for publications indexed by CAS since 1907, including serial and non-serial scientific and technical publications.

Index Copernicus The Index Copernicus International (ICI) Journals database’s is an international indexation database of scientific journals. It covered international scientific journals which divided into general information, contents of individual issues, detailed bibliography (references) sections for every publication, as well as full texts of publications in the form of attached files (optional). For now, there are more than 58,000 scientific journals registered at ICI.

Geneva Foundation for Medical Education and Research The Geneva Foundation for Medical Education and Research (GFMER) is a non-profit organization established in 2002 and it works in close collaboration with the World Health Organization (WHO). The overall objectives of the Foundation are to promote and develop health education and research programs.

Scopus: CiteScore 1.0 (2022) Scopus is Elsevier's abstract and citation database launched in 2004. Scopus covers nearly 36,377 titles (22,794 active titles and 13,583 Inactive titles) from approximately 11,678 publishers, of which 34,346 are peer-reviewed journals in top-level subject fields: life sciences, social sciences, physical sciences and health sciences.

Embase Embase (often styled EMBASE for Excerpta Medica dataBASE), produced by Elsevier, is a biomedical and pharmacological database of published literature designed to support information managers and pharmacovigilance in complying with the regulatory requirements of a licensed drug.

Submission Turnaround Time

Conferences

Top