Signa Vitae. 2022; 18(6): 45-52. doi: 10.22514/sv.2022.072
Original Research

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

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

History Submitted: 06 June 2022 | Accepted: 26 July 2022 | Published: 08 November 2022
Copyright:  ©2022  The Author(s). Published by MRE Press.
This is an open access article under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/).

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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
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Cite this article

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. doi: 10.22514/sv.2022.072

1. Introduction

Heart failure is a syndrome characterized by a decrease in the pumping function of the heart and is the final stage in the development of many cardiovascular diseases, such as hypertension, myocardial ischemia, cardiomyopathy, and arrhythmias. Cardiac pumping insufficiency and arrhythmias due to heart failure are the main causes of death in patients with heart failure. It has been shown that in the early stages of heart failure, the systolic and diastolic rates of cardiomyocytes are slowed and the action potential time course is prolonged [1]. For normal myocardium, as the heart rate accelerates, myocardial contraction force increases gradually, showing a positive frequency-force relationship, but in failing myocardium, when the heart rate is slow, myocardial contraction force and myocardial shortening amplitude are normal or even increase; while when the heart rate accelerates, myocardial contraction force and its shortening amplitude decrease or remain unchanged, showing a negative frequency-force relationship [2]. With the continuous improvement of medical technology, the level of treatment for heart failure has also increased substantially, but its mortality rate is still greater than the annual survival rate, even higher than some malignant tumors.

Type III collagen was first discovered and described in 1971. It is an important structural protein and is classified as one of the main fibrous collagens. Type III collagen is the main structural component of hollow organs, such as large blood vessels, uterus, and intestines, where these tissues must be stretched. It is also found in many other tissues related to type I collagen. At all stages of embryonic development, the expression of type I and type III collagen seems to be coordinated. A previous study demonstrated that platelets interact with type III collagen through specific glycoprotein and non-integrin receptors. Furthermore, Type III collagen plays a role in cell adhesion, migration, proliferation, and differentiation through interaction with cell surface receptor-integrins [3]. Kitamura et al. [4] analyzed heart tissue specimens from 35 patients with hypertrophic cardiomyopathy. The amount of type III collagen detected by immunostaining is related to several cardiac indicators of diastolic function and indicated that increased amount of fibrosis was related to poor cardiac function [4]. It has been reported in the literature that COL1A1, a homolog of COL3A1, contributes to the progression of heart failure in plasma and may be a potential plasma biomarker for predicting heart transplantation (HTx) within one year after the onset of heart failure and may play a role in the development of HF [5]. However, the function of COL3A1 is poorly understood in ischemic heart failure (IHF).

In this study, low-output heart failure was established through the construction of a rat heart failure model-coronary artery ligation, and the heart failure screening criteria were based on the relevant heart failure diagnosis guidelines [6, 7, 8, 9]. In addition, pathway prediction showed that COL3A1 is significantly related to the AGE/RAGE signaling pathway. Studies have shown that the accumulation of end-stage glycosylation products (AGE) and the activation of AGE receptors (RAGE) can induce continuous oxidative stress in vascular tissues, which is closely related to the progression of heart failure [10]. However, no studies have reported the role of COL3A1 and its regulation of AGE/RAGE signaling pathway. This study attempts to reveal the mechanism by which COL3A1 promotes the progression of heart failure by regulating the AGE/RAGE signaling pathway.

In this study, CLO3A1 was identified as one of the key genes in the progression of IHF due to its high expression in IHF rats model. COL3A1 depletion decreased infarct size and cell apoptosis in IHF rats model. Mechanically, COL3A1 deficiency inhibited IHF through activating AGE/RAGE signal pathway.

2. Materials and methods

2.1 Box plot, Venn diagram, PPI and KEGG enrichment analysis of GEO dataset

Different expression genes (DEGs) from GEO (GSE107568, GSE107569, GSE116250) was determined by bioinformatical analysis (limma analysis different expression genes, data filtering and standardization were performed as described previously [11, 12, 13, 14]. ComBat method implemented in the R package ggplot2, GEOquery, and sva were used to account for platform and batch effects. KEGG-GO analysis was performed by using of the clusterProfiler package for R language (version 4.2.2, Bell Laboratories, Murray Hill, NJ, USA) [15]. Pathway enrichment analysis was obtained from metascape online (https://metascape.org/gp/index.html) [16]. PPI (protein-protein interaction) analysis of COL3A1 was obtained from String: functional protein association networks (string-db.org).

2.2 Establishment of IHF rat model

After anesthesia in adult male Spragure-Dawley (SD) rats (12–14 weeks), a longitudinal incision was made in the left anterior area of the heart. The thoracic cavity was exposed by blunt separation and breaking the fourth to last rib, the pericardium was torn away to expose the heart, and the left anterior descending branch was permanently ligated 2–3 mm from the aortic root. A change in color of the distal end of the ligated myocardium was observed in the successfully ligated hearts. Rats in the sham operation group (sham) passed under the coronary artery without ligation. After 4 weeks, all rats were killed by severing the necks. The heart functional index was measured by ultrasonic cardiogram. Myocardial tissue sections were stained by TCC (total collagen content) as previous depicted. All animal experiments were approved by the Ethics Committee of Jiangsu Rongjun Hospital for animal use and performed in accordance with the National Institutes of Health (NIH) guide for the Care and Use of Laboratory Animal.

2.3 RNA-Seq analysis

RNA-Seq was performed as described previously [17]. After collecting samples, total RNA was extracted using TRIzol reagent (15596018, Ambion, Foster City, CA, USA). The sequencing library was then constructed and DEGs were analyzed.

2.4 western blotting analysis

Western blotting was performed as described previously [18]. And immunoblotted with the following antibodies: anti-mouse COL3A1 (1:1000, sc-6253, Santa Cruz Biotechnology, Santa Cruz, CA, USA), anti-mouse Bax (1:1000, sc-20067, Santa Cruz Biotechnology, Santa Cruz, CA, USA), anti-mouse the B-cell lymphoma-2 (BCL-2) (1:1000, sc-73822, Santa Cruz Biotechnology, Santa Cruz, CA, USA), anti-mouse Caspase-3 (1:1000, sc-7272, Santa Cruz Biotechnology, Santa Cruz, CA, USA), anti-mouse RAGE (1:1000, sc-74473, Santa Cruz Biotechnology, Santa Cruz, CA, USA), and anti-mouse β-actin (1:1000, sc-8432, Santa Cruz Biotechnology, Santa Cruz, CA, USA). Then, the Polyvinylidene Fluoride (PVDF) (1620184, bio-rad, USA) membranes were washed and secondary antibodies were applied 1:5000 for 1 h at room temperature, the immunoreactions were visualized with chemiluminescent Electrochemiluminescence (ECL) (1705061, bio-rad, USA) reagent.

2.5 Transmission electron microscope (TEM) assay

TEM (HITACHI, H-7650, Tokyo, Japan) assay was performed as described previously [19]. Cells were seeded in copper mesh, then washed, fixed, embedded, and pictures were captured by TEM.

2.6 Enzyme-linked immunosorbent assay (ELISA)

5 × 103 cells were seeded in 96-well plates with complete medium with FBS (fetal bovine serum) (A4736201, gibco, USA) for 24 h. Then, the supernatant was tested using the AGE, MDA, SOD, and LDH ELISA kit (ab183367, abcam, England) according to the instructions. Finally, the absorbance value was detected using a microplate reader (EL406, BioTek, Winooski, Vermont, USA). The concentrations of cytokines were obtained according to the standard curves.

2.7 Establishment of COL3A1 deficiency rats model

The plasmids of shCOL3A1-AAV and shNC (sh-negative control)-AAV were purchased from Invitrogen (shCOL3A1: GCTACTTCTCGCTCTGCTTCA; Carlsbad, CA, USA). The rats in IHF and sham groups were injected with 100 μL adeno-associated virus (10^12 μg/mL) through caudal vein. After 3 weeks, rats were killed, sectioned, and photographed.

2.8 Statistical analysis

Student’s t-test and one-way ANOVA (analysis of variance) were used for statistical analysis. Data were presented as means ± SEM (standard error of mean) of three independent experiments. A p-value of 0.05 or less was considered to be significant.

3. Results

3.1 Multi-chip combined analysis to screen DEGs involved in the development of IHF

In order to screen the DEGs in IHF compared with non-failing group, R package (ggplot2 [20] and GEOquery [21]) were used for analysis based on the GEO datasets (GSE107568, GSE107569, and GSE116250). As shown in Fig. 1A–C, all GEO datasets showed downregulated (blue dot) and upregulated (red dot) expression genes. Moreover, 14 upregulated DEGs and 0 downregulated DEGs were respectively involved in the three datasets (Fig. 1D). The online platform-String [22] (http://string-db.org) was used to predict the protein-protein interaction among DEGs. The results found that COL3A1 is the key gene of these DEGs (Fig. 1E). In addition, the DEGs were mainly associated with AGE/RAGE signaling pathway by KEGG enrichment analysis (Fig. 1F).

Multi-chip combined analysis to screen DEGs involved in the 
development of IHF. (A–C) Volcano plot was used to screen DEGs (different 
expression genes) between non-failing group and IHF group in gene omnibus (GEO) 
dataset (GSE107568, GSE107569, and GSE116250). Blue: decreased expression genes, 
red: increased expression genes, grey: no significant change expression genes. 
Based on an adjusted p < 0.05 and ∣log fold change∣> 1. Ns: no significance, p ≥ 0.05; *, p < 0.05; **, 
p < 0.01; ***, p < 0.001. (D) Venn plot analysis of DEGs 
among three datasets (GSE107568, GSE107569, GSE116250). (E) PPI network showed 
that COL3A1 is a key gene in DEGs. (F) KEGG (kyoto encyclopedia of genes 
and genomes) enrichment analysis of DEGs. IHF: ischemic heart failure.

Fig. 1.Multi-chip combined analysis to screen DEGs involved in the development of IHF. (A–C) Volcano plot was used to screen DEGs (different expression genes) between non-failing group and IHF group in gene omnibus (GEO) dataset (GSE107568, GSE107569, and GSE116250). Blue: decreased expression genes, red: increased expression genes, grey: no significant change expression genes. Based on an adjusted p < 0.05 and log fold change> 1. Ns: no significance, p 0.05; *, p < 0.05; **, p < 0.01; ***, p < 0.001. (D) Venn plot analysis of DEGs among three datasets (GSE107568, GSE107569, GSE116250). (E) PPI network showed that COL3A1 is a key gene in DEGs. (F) KEGG (kyoto encyclopedia of genes and genomes) enrichment analysis of DEGs. IHF: ischemic heart failure.

3.2 COL3A1 is significantly up-regulated in myocardial cells from rats with IHF

High ligation of the anterior descending coronary artery was used to establish the rats model of IHF. As shown in Fig. 2A, LVEF (left ventricular ejection fraction) [23] was decreased in myocardial cells of rats with IHF compared to that in sham group. On the contrary, both of LVIDs (left ventricular internal diameter) and LVIDd (left ventricular internal dimension diastole) were increased in myocardial cells of rats with IHF compared to that in sham group (Fig. 2B–C). Additionally, FS was decreased in myocardial cells of rats with IHF compared to that in sham rats (Fig. 2D). Based on the results of cardiac function index, the infarct size was significantly increased in IHF group rats compared to that in sham rats (Fig. 2E). Interestingly, COL3A1 mRNA and protein expressions were upregulated in IHF group compared to that in sham rats (Fig. 2F–G). Taken together, these data indicated that the upregulation of COL3A1 in myocardial cells of rats with IHF.

COL3A1 is significantly up-regulated in 
myocardial cells from rats with IHF. (A–D) Rats were divided into sham group 
and IHF group. Echocardiography analysis of cardiac function index (4 weeks after 
surgery), including Left ventricular ejection fraction (LVEF), left ventricular 
end systolic diameter (LVIDs), left ventricular end systolic volume (LVIDd), and 
left ventricular shortening fraction (LVFS). (E) TCC staining analysis of 
myocardial infarction size in IHF rats. (F) The mRNA expression of COL3A1 
 (type III collagen) was analyzed by RNA-sequencing. (G) Western blotting assay of 
COL3A1 protein expression. Data are representative of three independent 
experiments (mean ± SD). *, p &lt; 0.05 and **, p &lt; 
0.01. vs. Sham group. IHF: ischemic heart failure.

Fig. 2.COL3A1 is significantly up-regulated in myocardial cells from rats with IHF. (A–D) Rats were divided into sham group and IHF group. Echocardiography analysis of cardiac function index (4 weeks after surgery), including Left ventricular ejection fraction (LVEF), left ventricular end systolic diameter (LVIDs), left ventricular end systolic volume (LVIDd), and left ventricular shortening fraction (LVFS). (E) TCC staining analysis of myocardial infarction size in IHF rats. (F) The mRNA expression of COL3A1 (type III collagen) was analyzed by RNA-sequencing. (G) Western blotting assay of COL3A1 protein expression. Data are representative of three independent experiments (mean ± SD). *, p < 0.05 and **, p < 0.01. vs. Sham group. IHF: ischemic heart failure.

3.3 Knockdown of COL3A1 alleviates myocardial cell damage and apoptosis in rats with IHF.

In order to investigate the function of COL3A in IHF rats, the IHF rats model were administrated with AAV-shCOL3A1 to knockdown COL3A expression, which was validated by western blotting (Fig. 3A). As shown in Fig. 3B, knockdown of COL3A1 in IHF rats remarkably inhibited the infarct size compared with IHF rats with AAV-shNC treatment. Apart from this, COL3A1 deficiency antagonized the inhibition of LVEF and FS in IHF rat as compared to IHF rats with AAV-shNC treatment. On the contrary, knockdown of COL3A1 decreased LVIDs and LVIDd in IHF rat as compared to IHF rats with AAV-shNC treatment (Fig. 3C–F).

Knockdown of COL3A1 alleviates myocardial cell damage 
in rats with IHF. (A) Knockdown COL3A1-AAV (Adeno-associated virus) 
plasmid through tail vein injection of sham or IHF model, the expression of 
COL3A1 was measured by western blotting. (B) TCC staining analysis of 
the myocardial infarction size in IHF rats with COL3A1-AAV plasmid 
treatment. (C–F) Echocardiography analysis of cardiac function index in IHF rats 
with COL3A1-AAV plasmid treatment (4 weeks after surgery), including 
Left ventricular ejection fraction (LVEF), left ventricular end systolic diameter 
(LVIDs), left ventricular end systolic volume (LVIDd), left ventricular 
shortening fraction (LVFS). **, p &lt; 0.01 vs. Sham + AAV-shNC 
group. #, p &lt; 0.05 and ##, p &lt; 0.01. 
vs. IHF + AAV-shNC group. @, p &lt; 0.05 and @@, 
p &lt; 0.01. vs. Sham + AAV-shCOL3A1 group. IHF: 
ischemic heart failure.

Fig. 3.Knockdown of COL3A1 alleviates myocardial cell damage in rats with IHF. (A) Knockdown COL3A1-AAV (Adeno-associated virus) plasmid through tail vein injection of sham or IHF model, the expression of COL3A1 was measured by western blotting. (B) TCC staining analysis of the myocardial infarction size in IHF rats with COL3A1-AAV plasmid treatment. (C–F) Echocardiography analysis of cardiac function index in IHF rats with COL3A1-AAV plasmid treatment (4 weeks after surgery), including Left ventricular ejection fraction (LVEF), left ventricular end systolic diameter (LVIDs), left ventricular end systolic volume (LVIDd), left ventricular shortening fraction (LVFS). **, p < 0.01 vs. Sham + AAV-shNC group. #, p < 0.05 and ##, p < 0.01. vs. IHF + AAV-shNC group. @, p < 0.05 and @@, p < 0.01. vs. Sham + AAV-shCOL3A1 group. IHF: ischemic heart failure.

In addition, TEM assay was used to analyze myocardial cell apoptosis in rats. As shown in Fig. 4A, there were more myocardial cell apoptosis in IHF rats as compared to that in sham rats. COL3A1 deficiency reversed the enhancement of cell apoptosis in IHF rats with AAV-shNC. Moreover, Bcl-2 expression was decreased in IHF rats as compared to that in sham rats, whereas knockdown of COL3A1 enhanced the expression of Bcl-2 in IHF rats. Reversely, COL3A1 deficiency reduced Bax and Caspase-3 expressions in IHF rats with AAV-shNC treatment (Fig. 4B). Taken together, these data suggested that COL3A1 promotes cell damage and apoptosis in rats with IHF.

Knockdown of COL3A1 inhibits apoptosis of 
cardiomyocytes in rats with IHF. (A) TEM assay analysis of cell apoptosis from 
IHF rats with COL3A1-AAV (Adeno-associated virus) plasmid treatment. (B) 
The western blotting assay determined the expressions of Bcl-2, Bax, and 
Caspase-3 in IHF rats with COL3A1-AAV plasmid treatment. **, p 
&lt; 0.01 vs. Sham + AAV-shNC group. ##, p &lt; 0.01. 
vs. IHF + AAV-shNC group. @@, p &lt; 0.01. vs. 
Sham + AAV-shCOL3A1 group. IHF: ischemic heart failure.

Fig. 4.Knockdown of COL3A1 inhibits apoptosis of cardiomyocytes in rats with IHF. (A) TEM assay analysis of cell apoptosis from IHF rats with COL3A1-AAV (Adeno-associated virus) plasmid treatment. (B) The western blotting assay determined the expressions of Bcl-2, Bax, and Caspase-3 in IHF rats with COL3A1-AAV plasmid treatment. **, p < 0.01 vs. Sham + AAV-shNC group. ##, p < 0.01. vs. IHF + AAV-shNC group. @@, p < 0.01. vs. Sham + AAV-shCOL3A1 group. IHF: ischemic heart failure.

3.4 COL3A1 deficiency suppresses AGE/RAGE signaling pathway and oxidative stress in rats with IHF.

Based on the results of KEGG pathway enrichment analysis, the DEGs were mainly involved in AGE/RAGE pathway [24]. Therefore, the serum AGE level in rat was analyzed. As shown in Fig. 5A, IHF rat showed high serum AGE level as compared to sham rats, while knockdown of CLO3A1 suppressed the upregulation of serum AGE in IHF rats with AAV-shNC treatment. Similarly, the expression of RAGE protein was also decreased in IHF rats with AAV-shCOL3A1 treatment as compared to with AAV-shNC (Fig. 5B). Additionally, increased LDH and MDA protein levels were found in IHF rats as compared to that in sham rats, and COL3A1 knockdown in IHF rats decreased LDH and MDA when compared with IHF rats with AAV-shNC treatment (Fig. 5C–D). Otherwise, SOD was downregulated in IHF rats compared to sham rats, while COL3A1 deficiency alleviated the inhibition of SOD in IHF rats with AAV-shNC treatment. Collectively, these results indicated that COL3A1 positively regulates AGE/RAGE signaling pathway in IHF rats.

COL3A1 deficiency suppresses AGE/RAGE signaling pathway 
and oxidative stress in rats with IHF. (A) Serum AGE level in IHF rats with 
COL3A1-AAV plasmid treatment was detected by ELISA. (B) Western blotting 
assay on the expression level of RAGE (receptor for advanced glycation 
end-products) in cardiomyocytes from rats with IHF. (C–E) LDH (lactate 
dehydrogenase), MDA (malondialdehyde) and SOD (superoxide dismutase) levels in 
IHF rats with COL3A1-AAV plasmid treatment were detected by ELISA. IHF: 
ischemic heart failure.

Fig. 5.COL3A1 deficiency suppresses AGE/RAGE signaling pathway and oxidative stress in rats with IHF. (A) Serum AGE level in IHF rats with COL3A1-AAV plasmid treatment was detected by ELISA. (B) Western blotting assay on the expression level of RAGE (receptor for advanced glycation end-products) in cardiomyocytes from rats with IHF. (C–E) LDH (lactate dehydrogenase), MDA (malondialdehyde) and SOD (superoxide dismutase) levels in IHF rats with COL3A1-AAV plasmid treatment were detected by ELISA. IHF: ischemic heart failure.

4. Discussion

Despite significant improvements in living standards and medical care, heart failure remains a worldwide problem. Treating heart failure is costly and affects the quality of life of patients to varying degrees. Ischemic cardiomyopathy is one of the most common causes of heart failure. In addition, some patients have other diseases, such as type 2 diabetes, which complicates therapeutic interventions for heart failure. Angiotensin-converting enzyme inhibitors, β-blockers, diuretics, contractile drugs, and cardiac resynchronization therapy (CRT) have been widely used in the treatment of IHF. However, a significant number of patients inevitably enter end-stage heart failure for various reasons. Therefore, identification of specific biomarkers of IHF are crucial.

Accumulation of COL3A1 is a specific marker of several human diseases, including systemic sclerosis, cardiac fibrosis, lung fibrosis, liver cirrhosis and renal fibrosis [3]. Previous studies demonstrated that the accumulation of extracellular matrix proteins in heart tissue can lead to scars caused by myocardial fibrosis, myocardial infarction and other injuries, causing impaired myocardial function, including ischeminc heart failure [25]. Herpel et al.[26] studied several extracellular matrix proteins extracted from heart tissue samples from patients diagnosed with dilatation, ischemic, and valvular cardiomyopathy by immunostaining. The results showed that different types of cardiomyopathy have myocardial interstitial fibrosis, but they differ in the distribution of various extracellular matrix proteins [26]. Research specializing in type III collagen have included studies on hypertrophic and dilated cardiomyopathy, pulmonary vascular disease, and alternative fibrosis after myocardial infarction. Changes in type III collagen have also been studied in a rare cardiomyopathy, called idiopathic restrictive cardiomyopathy. However, COL3A1 as a member of type III collagen, remains poorly clarified. This study demonstrated that, there are 14 upregulated DEGs were involved in the three GEO datasets, and CLO3A1 is one of the key genes in the progression of IHF. COL3A1 was highly expressed in IHF rats compared to that in sham rats. COL3A1 deficiency inhibited infarct size and cell apoptosis in IHF rats. Mechanically, COL3A1 deficiency reduced IHF through activating AGE/RAGE signal pathway.

In the past two decades, many researches have been reported on COL3A1, one of the most abundant component of extracellular matrix (ECM) in the TME [27, 28, 29, 30]. For example, miR-29 acted as a tumor suppressor in control of methotrexate resistance and cell apoptosis through regulating COL3A1, which indicates the role of CLO3A1 in cell apoptosis [31]. Another study also demonstrated that miR-let-7b is an important regulator in reducing the expression of COL3A1 to inhibit apoptosis through activating Bcl2 and inactivating Caspase 3 [32]. Here, it is demonstrated that COL3A1 deficiency negatively regulates cell apoptosis through Bcl-2 upregulation and suppression of Bax and Caspase-3 in IHF rats model. However, the molecular mechanism underlying the role of COL3A1 in suppressing cell apoptosis in IHF rats model need further investigation.

The AGE/RAGE signaling pathway is a common transduction pathway in regulation of cell migration, cell apoptosis, and cell proliferation [10, 33, 34]. Studies have demonstrated that the AGE/RAGE pathway is associated with fibrosis in the diabetic heart, and cardiovascular disease in patients with chronic kidney disease [35, 36]. Previous studies have reported that RAGE acts a vital role in the apoptosis of cardiomyocytes through stimulation of p38-MAPK (mitogen-activated protein kinase) and JNK (c-Jun N-terminal kinase) pathways [37, 38]. In this study, it is demonstrated that knockdown of COL3A1 reduced the activity of AGE/RAGE signal pathway. It is thus speculated that COL3A1 deficiency decreases cell apoptosis through RAGE, which may be regulated by p38-MAPK and JNK pathways. However, the underlying mechanism of COL3A1 in regulating of AGE/RAGE need further investigation.

5. Conclusions

The present study found that COL3A1 was identified as a crucial gene according to bioinformatics analysis, and validated to be upregulated in IHF rats model. Moreover, the infarct size was increased in IHF rats model compared to sham rats. Moreover, COL3A1 deficiency antagonized the induction of infarct, cell apoptosis, AGE/RAGE signaling pathway and oxidative stress levels in IHF rats model. In summary, this study confirmed that COL3A1-AGE/RAGE axis played an important role in promoting the progression of IHF. This might provide a promising hallmark for IHF diagnosis and therapy.

Author contributions

XC and JWZ—designed the study, supervised the data collection, TL—analyzed the data, interpreted the data, ZSD and CZ—prepare the manuscript for publication and reviewed the draft of the manuscript. All authors have read and approved the manuscript.

Ethics approval and consent to participate

All experimental and animal manipulations are authorized and approved by Jiangsu Rongjun Hospital ethics committee (Approval No. YKT2021001).

Acknowledgment

Not applicable.

Funding

This work was supported by the Parallel Research Topic of Soochow university (Grant No. H190426), Hospital level project of Jiangsu Rongjun Hospital (Grant No. YKT2021001) and Soft project of Wuxi Association for Science and Technology (Grant No. KX-21-B70). .

Conflict of interest

The authors declare no conflict of interest.

References

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.

[Google Scholar]

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.

[Google Scholar]

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

[Google Scholar]

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.

[Google Scholar]

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.

[Google Scholar]

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.

[Google Scholar]

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.

[Google Scholar]

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.

[Google Scholar]

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.

[Google Scholar]

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.

[Google Scholar]

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.

[Google Scholar]

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.

[Google Scholar]

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

[Google Scholar]

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.

[Google Scholar]

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.

[Google Scholar]

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.

[Google Scholar]

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

[Google Scholar]

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.

[Google Scholar]

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.

[Google Scholar]

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

[Google Scholar]

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

[Google Scholar]

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.

[Google Scholar]

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.

[Google Scholar]

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.

[Google Scholar]

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

[Google Scholar]

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.

[Google Scholar]

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.

[Google Scholar]

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

[Google Scholar]

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.

[Google Scholar]

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.

[Google Scholar]

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.

[Google Scholar]

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.

[Google Scholar]

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.

[Google Scholar]

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

[Google Scholar]

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.

[Google Scholar]

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.

[Google Scholar]

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.

[Google Scholar]

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.

[Google Scholar]