Literature DB >> 36215067

Guanxin V attenuates myocardial ischaemia reperfusion injury through regulating iron homeostasis.

Fuqiong Zhou1, Zhengguang Zhang2, Meiyuan Wang2, Weina Zhu1, Jie Ruan1, Hongyan Long1, Yajie Zhang1, Ning Gu3.   

Abstract

CONTEXT: Guanxin V (GX), a traditional Chinese medicine formula, is safe and effective in the treatment of coronary artery disease. However, its protective effect on myocardial ischaemia reperfusion injury (MIRI) is unclear.
OBJECTIVE: To investigate the cardioprotective effect of GX on MIRI and explore the potential mechanism.
MATERIALS AND METHODS: Sprague-Dawley male rats were divided into Sham, MIRI and MIRI + GX groups. GX (6 g/kg) was administered to rats via intragastric administration for seven days before ischaemia reperfusion (IR) surgery. The infarct size, histopathology, serum enzyme activities, ultrastructure of the cardiac mitochondria were assessed. H9c2 cells were pre-treated with GX (0.5 mg/mL), and then exposed to hypoxia/reoxygenation (HR). The cell viability and LDH levels were measured. Network pharmacology was conducted to predict the potential mechanism. The related targets of GX were predicted using the TCMSP database, DrugBank database, etc. Finally, pharmacological experiments were used to validate the predicted results.
RESULTS: In vivo, GX significantly reduced the myocardial infarct size from 56.33% to 17.18%, decreased the levels of AST (239.32 vs. 369.18 U/L), CK-MB (1324.61 vs. 2066.47 U/L) and LDH (1245.26 vs. 1969.62 U/L), and reduced mitochondrial damage. In vitro, GX significantly increased H9c2 cell viability (IC50 = 3.913 mg/mL) and inhibited the release of LDH (207.35 vs. 314.33). In addition, GX could maintain iron homeostasis and reduce oxidative stress level by regulating iron metabolism-associated proteins.
CONCLUSIONS: GX can attenuate MIRI via regulating iron homeostasis, indicating that GX may act as a potential candidate for the treatment of MIRI.

Entities:  

Keywords:  Cardioprotective effect; iron accumulation; iron metabolism; network pharmacology; oxidative stress

Mesh:

Substances:

Year:  2022        PMID: 36215067      PMCID: PMC9553176          DOI: 10.1080/13880209.2022.2123934

Source DB:  PubMed          Journal:  Pharm Biol        ISSN: 1388-0209            Impact factor:   3.889


Introduction

Cardiovascular diseases have become a prominent threat to human life and health today. The latest epidemiological data show that cardiovascular diseases cause approximately 17.9 million deaths annually, and this number is estimated to increase to more than 23.6 million by 2030 (D'Souza 2019). Acute myocardial infarction (AMI), as one of the most common cardiovascular diseases, remains a major cause of global morbidity and mortality worldwide, and imposes immense health and economic burden (Domienik-Karłowicz et al. 2021). Clinically, the most effective treatments to reduce the infarct size and improve the clinical outcome are timely myocardial reperfusion using thrombolytic therapy and percutaneous coronary intervention. However, restoration of blood flow in the infracted coronary artery may also induce further cardiomyocyte death and trigger myocardial ischaemia reperfusion injury (MIRI) (Ibanez et al. 2015). MIRI is the leading cause of poor prognosis of AMI and causes multiple cardiac complications. Currently, there remains no effective clinical therapy for preventing myocardial reperfusion injury. Therefore, new approaches to reduce MIRI are urgently required. Iron is an indispensable trace metal element in wide range of biological processes, including oxygen transfer, cellular respiration, DNA synthesis, lipid peroxidation, overall metabolism and programmed cell death (Hirst 2013; Abbaspour et al. 2014; Vela 2020). However, iron metabolism imbalance, especially iron overload, exerts potentially deleterious effects due to its involvement in reactive oxygen species (ROS) production (Nakamura et al. 2019). Emerging evidence have demonstrated that iron deposition in cardiac cells, resulting to oxidative stress, participates in the pathophysiological process of MIRI (Ravingerova et al. 2020). Due to the accumulation of excess intracellular iron and iron-dependent overproduction of free radicals in the occurrence, a growing number of clinical studies have suggested that the level of cardiomyocyte iron is an important prognostic factor of MIRI (Paterek et al. 2019; Li et al. 2021). Iron metabolism in MIRI associated diseases involves several mediators, such as hypoxia-inducible factor 1 α (HIF-1α), ferritin heavy chain (FTH) and ferroportin (FPN) (Li et al. 2021). HIF-1α can regulate the transcription of genes involved in iron utilization. HIF-1α, presents with visible hyperactivation during MIRI, can enhance transferrin receptor 1 (TFR1) expression and exasperate iron overload, and then ultimately aggravates ROS-induced peroxidative damage (Lok and Ponka 1999; Duarte et al. 2021). In addition, HIF-1α also can regulate ceruloplasmin, which can catalyse the oxidation of ferrous iron (Fe2+) to ferric iron (Fe3+) (Mukhopadhyay et al. 2000), haem oxygenase 1 (HMOX1), which is involved in iron recycling in erythrophagocytosis (Dunn et al. 2021) and divalent metal transporter 1 (DMT1), a protein that promotes iron indraft and inputs iron (Qian et al. 2011). FTH, a major intracellular in storage protein, downregulated in the mouse model of MIRI, resulted in oxidative stress and cardiomyocytes death (Omiya et al. 2009). FPN, the only known cellular iron efflux pump, has also been reported to play a critical role in systemic iron homeostasis (Lakhal-Littleton 2019; Paterek et al. 2019). At present, as the pathogenesis of cardiovascular diseases (CVD) is rather multifactorial than a single cause, traditional Chinese medicine (TCM) is attracting wide attention in the prevention and treatment of CVD due to its attributes of multi-component, multi-target and multi-path regulation of the body, and fewer side effects. According to the theory of traditional Chinese medicine, the pathogenesis of MIRI was mainly due to Qi and Yin deficiency and blood stasis (Du and Zhang 2022). Guanxin V (GX) is a traditional Chinese medicine formula modified from a well-known TCM complex prescription named Shengmai San, which has been clinically utilized for the treatment of ischaemic heart disease. GX consists of Codonopsis pilosula (Franch.) Nannf. (Campanulaceae) (Chinese name Dang-Shen), Ophiopogon japonicas (L. f) Ker-Gawl. (Liliaceae) (Chinese name Mai-Dong), Schisandra chinensis (Turcz.) Baill. (Magnoliaceae) (Chinese name Wu-Wei-Zi), Salvia miltiorrhiza Bge. (Lamiaceae) (Chinese name Dan-Shen), Paeonia lactiflora Pall. (Ranunculaceae) (Chinese name Chi-Shao) and Rehmannia glutinosa Libosch. (Scrophulariaceae) (Chinese name Di-Huang). Among these six TCMs included in GX, Dang-Shen, Mai-Dong and Wu-Wei-Zi are good at enriching Qi, nourishing Yin and promoting the generation of body fluid, Dan-Shen, Chi-Shao and Di-Huang can activate blood, dissipating blood stasis and promote the generation of body fluid (Zuo et al. 2015). Therefore, GX can be used to tonify Qi, nourish Yin and promote blood circulation, which implies its huge potential in MIRI treatment. Actually, GX has been approved to be used in Nanjing Hospital of Chinese Medicine Affiliated to Nanjing University of Chinese Medicine since 2004, and its efficacy and safety in the treatment of coronary artery disease have been confirmed in our clinical studies (Liang et al. 2020). Moreover, our previous studies found that GX could obviously improve the cardiac function, limit infarct size, suppress the inflammatory response and protect against ventricular remodelling in AMI animal models (Liang et al. 2020, 2021, 2022; Zhang et al. 2021). Consistent with AMI, multiple factors, including oxidative stress, systemic inflammation, calcium metabolic disorders, mitochondrial damage and iron overload, have also been demonstrated to be implicated in the pathogenesis and development of MIRI (Bugger and Pfeil 2020; Mahtta et al. 2020; Ramachandra et al. 2020; Vela 2020; Li et al. 2021). Pharmacological studies showed that the TCMs and their components included in GX have the definite protection effects on MIRI. For example, ruscogenin and schisandrin, the main ingredients of Mai-Dong and Wu-Wei-Zi, respectively, exhibit the prominent cardioprotective effects against MIRI through modulating energy metabolism, suppressing inflammation and oxidative stress (Yang et al. 2021). Dan-Shen and its main components have protective effects against MIRI mainly through ameliorating oxidative stress, inhibiting apoptosis and alleviating inflammation (Song et al. 2013; Huang et al. 2016; Wei et al. 2016; Zeng et al. 2021). Paeonol and paeoniflorin, the main active principles of Chi-Shao, can significantly reduce the myocardial infarct size and reperfusion arrhythmias by activation of the Akt and ERK 1/2 arm of RISK pathway in MIRI rats (Wu et al. 2020; Ma et al. 2022). Catalpol, a kind of iridoid glucoside derived from the roots of Di-Huang, can significantly suppress the process of MIRI and protect oxygen-glucose deprivation/reoxygenation-treated cardiomyocytes through modulating Nrf2/HO-1 signalling axis (Ge et al. 2022). All these findings suggested an extensive clinical value of GX in the treatment of MIRI, which has not been investigated elsewhere. In this study, the protective effect of GX on MIRI was evaluated, and the potential engaged mechanism predicted via network pharmacology analysis was examined in vivo and in vitro.

Materials and methods

Reagents

Danshensu, paeoniflorin, rosmarinic acid, salvianolic acid B, salvianic acid A and paeonol (purity > 98%) were all purchased from National Institute for Food and Drug Control (Beijing, China). The kits for determination of aspartate aminotransferase (AST), Creatine kinase-MB (CK-MB), lactate dehydrogenase (LDH), superoxide dismutase (SOD) and malondialdehyde (MDA) were purchased from Nanjing Jiancheng Bioengineering Institute (Nanjing, China). 2,3,5-triphenyltetrazolium chloride (TTC) was purchased from Sigma-Aldrich (St. Louis, MO, USA). AnaeroPack was obtained from MGC (Japan). Dulbecco’s modified Eagle medium (DMEM) was obtained from GIBCO (Life Technologies, CA, USA). Foetal bovine serum (FBS) was from AusgeneX (Australia). The serum-free, glucose-free and sodium pyruvate-free DMEM was acquired from Solarbio (Beijing, China). H2DCFDA kit was obtained from MedChemExpress (Shanghai, China). Iron assay kit, antibody against HIF-1α and FTH were acquired from Abcam (Cambridge, MA, USA). Antibody against FPN was purchased from Novus Biologicals (Littleton, CO, USA). The cell counting kit-8 (CCK-8) and FerroOrange were obtained from Dojindo (Kumamoto, Japan).

The preparation of GX

Codonopsis pilosula, Ophiopogon japonicas, Schisandra chinensis, Salvia miltiorrhiza, Paeonia lactiflora and Rehmannia glutinosa (the ratio of weight is 20:10:5:20:20:4) were obtained from and deposited at the Department of Pharmacy, Nanjing Hospital of Chinese Medicine Affiliated to Nanjing University of Chinese Medicine. All these herbal medicines were identified by Li Wen, a Chief Pharmacist of Chinese medicine. According to the preparation procedure provided by the Department of Pharmacy, Nanjing Hospital of Chinese Medicine Affiliated to Nanjing University of Chinese Medicine, all of the herbs were soaked in 8 L water for 30 min and then decocted for 90 min. Subsequently, the filter residues were decocted in 6 L of water for 60 min and filtered. The combined aqueous extract was concentrated and further freeze-dried to obtain the powdery extract with a yield of 25.3%.

Animals and treatments

Male adult Sprague-Dawley rats (body weight 200 ± 20 g) were purchased from Shanghai Slaccas Experimental Animal Ltd (Shanghai, China). The animals were housed in environmentally controlled room temperature (22 ± 2 °C) and humidity (65% ± 5%) with standard rodent chow and water and 12-h on/off light cycle for a week. All procedures of animal experiments followed the guidelines of the Institutional Animal Ethical Committee of Nanjing University of Chinese Medicine and were approved by the Institutional Animal Care and Use Committee of Nanjing University of Chinese Medicine (Ethical number: 202005A127). The rats were randomly divided into three experimental groups as follows (n = 12, each group): (i) Sham group (normal saline: 10 mL/kg/d), (ii) MIRI group (MIRI + normal saline: 10 mL/kg/d), (iii) MIRI + GX group (GX: 6 g/kg/d). Normal saline and GX were administered to rats via intragastric administration for seven consecutive days before IR surgery. The dosage of GX was converted according to the clinical equivalent dose and the exact dosage of GX on animals was applied according to our previous study (Zhang et al. 2021; Liang et al. 2022a, 2022b). The rat MIRI model was established by left anterior descending coronary artery ligation. Briefly, after anaesthesia, the rats were fixed and plugged into a small animal ventilator. Then the intercostal space between third and fourth rib of the left chest was exposed, and the heart was exposed entirely after tearing the pericardium. Subsequently, the left anterior descending coronary artery was ligated with a 6–0 silk suture at approximately 2 mm below the left atrial appendage. The electrocardiogram was utilized to monitor the ST-segment elevation. After 30 min of ischaemia, the ligature loosened and followed by 2 h of reperfusion. For the Sham group, the rats were subjected to the same surgical procedures without ligating the left anterior descending coronary artery. At the end of the reperfusion, the blood samples were collected from abdominal aorta of experimented rats to separate out serum by centrifugation at 3000 rpm for 10 min at 4 °C. Finally, after euthanized with an overdose of pentobarbital (200 mg/kg, i.p.), the hearts of the rats were harvested for further analysis.

Measurement of myocardial infarct size

The hearts of rats were flushed with saline and frozen in −20 °C for 30 min. Then the ventricles were sliced into 5 mm sections and incubated in 1% TTC solution at 37 °C for 15 min in the dark. After being washed three-times, these sections were photographed, the myocardial infarction area was white and non-infarction area was red. The infarct size was analysed and calculated by Image J.

Masson’s trichrome staining

After the experiment, the myocardial tissues were harvested and fixed into 4% paraformaldehyde. The samples were dehydrated in a graded series of ethanol (50, 75, 85, 95 and 100%), and then paraffin-embedded and cut into 4 μm thick sections. The sections were dewaxed with xylene and soaked in an alcohol gradient. Then sections were incubated with different solutions supplemented in Masson’s Trichrome Stain Kit (Solarbio G1345). Finally, the sections were treated with the 1% acetic acid solution, dehydrated, mounted with mounting solution and observed using light microscopy (Olympus CKX41, Japan).

Measurement of biological parameters in the serum

The AST, CK-MB and LDH levels in the serum were measured using commercial ELISA kits (Nanjing Jiancheng Bioengineering Institute) following the manufacturer’s protocols exactly.

Ultrastructural analysis by transmission electron microscope (TEM)

The heart tissues were fixed with 2.5% glutaraldehyde and cut into ultra-thin sections. After being fixed with 1% osmic acid for 1 h, the sections were dehydrated in a graded alcohol series and embedded. Subsequently, these sections were sliced and stained with uranyl acetate and lead citrate. The ultrastructure images of the cardiac mitochondria were observed and imaged under transmission electron microscope (Hitachi, Tokyo, Japan).

Cell culture and HR injury model in vitro

Rat H9c2 cardiomyocyte cell line was purchased from Shanghai Institute of Cell Biology, Chinese Academy of Sciences (Shanghai, China). The cells were cultured with the supplemented DMEM solution containing 10% foetal bovine serum and double antibiotics (penicillin and streptomycin, 100 μg/mL:100 μg/mL) at 37 °C in a humidified atmosphere of 5% CO2. To establish the HR model, the cells were washed twice with PBS and cultured with the glucose-free DMEM base medium in an AnaeroPack System, in which oxygen was deprived (Wei et al. 2018; Li et al. 2019; Zhang et al. 2020; Wen et al. 2021). After 3 h, the plate was taken out and cultured with normal culture medium in a normoxic incubator at 37 °C for 2 h to mediate reoxygenation. The following groups were tested: (1) Control group: the cells were cultured under normal conditions; (2) GX group: the cells were pre-treated with GX for 12 h before and during maintenance under normal conditions; (3) HR group: the cells were exposed to hypoxia for 3 h and reoxygenation for 2 h; (4) HR + GX group: the cells were pre-treated with GX for 12 h prior to and during HR treatment.

Cell viability assays

After cells were cultured and treated in 96-well plates, 10 μL of CCK-8 reagent (Dojindo, Japan) was added to each well and then incubated for 1 h in the dark. Absorbance was measured at 450 nm using a multifunction microplate reader (Bio-Tek, Winooski, VT, USA). The assays were repeated three times.

Measurement of LDH release in H9c2 cells

Cell supernatant was collected to measure LDH level using the LDH assay kit (Nanjing Jiancheng Bioengineering Institute). Using a microplate reader (490 nm wavelength), the absorbance was determined.

Network pharmacology analysis

Targets collection

The active targets of GX were obtained from the traditional Chinese medicine systems pharmacology (TCMSP) database and encyclopaedia of traditional Chinese medicine (ETCM) database. The effective compounds were screened using oral bioavailability (OB) ≥30% and drug-likeness (DL) ≥ 0.18. The targets of MIRI were selected using GeneCards, OMIM, DrugBank, TTD databases. All sets of data were combined and the duplicates were removed. A Venn diagram was drawn via Omicshare Tools (https://www.omicshare.com) to show overlapping targets between the predicted targets of GX and the disease targets of MIRI.

Network construction and analysis

The active ingredients of GX and the overlapping targets were input into Cytoscape 3.8.0 software to construct and visualize the compound-target network. Then the overlapping targets were further analysed by STRING database to establish a protein–protein interaction (PPI) network. Finally, Gene Ontology (GO) function analysis and Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway enrichment analysis of overlapping targets were performed using DAVID, and the results were visualized by Omicshare Tools.

Measurement of the cardiac MDA and SOD

The cardiac MDA level and SOD activity were measured using a kit (Nanjing Jiancheng Bioengineering Institute) in accordance with the manufacturer’s instructions.

Measurement of intracellular ROS production

The intracellular ROS generation was assessed using H2DCFDA kit according to the manufacturer’s instructions. Then the cells were washed twice with PBS and the DCF fluorescence intensity was observed under a fluorescence microscope (Olympus BX63, Japan). Image J software was used to analyse the data. Moreover, trypsin-digested cells were washed with PBS and stained with probe, then analysed by a flow cytometer (Cytomics™ FC 500, Beckman Coulter, CA, USA) and FlowJo software.

Prussian blue staining

To confirm the free iron in heart tissue sections, a Prussian blue stain kit was carried out according to the manufacturer’s instructions. The heart slices were dewaxed and dehydrated, and then incubated with Prussian blue and washed by PBS. Finally, a light microscope was used to observe the stained sections.

Iron assay

Total iron contents of tissues and cells were quantified using an iron assay kit (Abcam, ab83366). In short, samples were collected, washed with cold PBS, homogenized in iron assay buffer and homogenized in iron assay buffer, Next, iron-reducing agent was added to the samples for total iron (Fe3+ and Fe2+) analysis. Finally, the iron probe solution was added for incubation at 25 °C in dark conditions for 1 h. The content was immediately measured using the multifunction microplate reader under the wavelength of 593 nm.

Intracellular iron assay

The intracellular iron concentration was assessed using FerroOrange probe. Cells were seeded in 6-well plates and treated with the indicated treatment. FerroOrange (1 μM) dispersed in serum-free medium was added to the cells, and the cells were incubated for 30 min at 37 °C. Then the fluorescence intensity was observed under a fluorescence microscope.

Immunohistochemical detection

The myocardial sections were immersed with 3% methanol-H2O2 for 10 min and incubated with primary antibodies (1:1000) against HIF1α, FPN and FTH for immunostaining at room temperature for 2 h and an appropriate anti-mouse secondary antibody for 1 h. Immunostaining was performed by 3,3′-diaminobenzidine solution for 5 min at room temperature. The samples were visualized under a light microscope.

Western blot analysis

H9c2 cells were lysed with RIPA lysis buffer before determining the protein concentrations using a BCA kit (Beyotime, Shanghai, China). Isolated protein (30 μg) was separated by 10% SDS-PAGE gels, then transferred onto polyvinylidene fluoride membranes (PVDF, Millipore, USA). After blocking with non-fat milk solution (5%) for 1 h, primary antibodies were incubated with the membranes overnight at 4 °C. After washing, the samples were incubated with secondary antibodies for 1 h at room temperature. Finally, the protein bands were visualized with enhanced chemiluminescence.

Statistical analysis

All data are expressed as mean ± standard deviation (SD). All statistical analyses were performed using GraphPad Prism 8.0 software. Statistical differences were accessed by one-way analysis of variance (ANOVA), and p < 0.05 was considered statistically significant.

Results

GX treatment attenuated myocardial ischaemia-reperfusion injury and HR-induced H9c2 cardiomyocytes damage

We first investigated whether GX could protect cardiomyocytes against MIRI in vivo. As shown in Figure 1(A), GX significantly reduced the infarct size in rats subjected to MIRI. The ST segment of the MIRI group was observably elevated, but when GX pre-treatment, this change was reversed (Figure 1(B)). Besides, the Masson’s trichrome staining showed that the myocardial fibrosis degree in the MIRI group was higher than that in the Sham group, whereas GX treatment attenuated MIRI-induced cardiac fibrosis (Figure 1(C)). Furthermore, the myocardial enzymes in the serum such as AST, CK-MB and LDH were measured to assess myocardial injury (Figure 1(D)). The activities of AST, CK-MB and LDH enzymes increased remarkably in the MIRI group, indicating that a serious damage may occur in the heart. Interestingly, these increases of myocardial enzymes were significantly attenuated after GX treatment. Compared with the Sham group, the myocardial mitochondria of the MIRI group were severely distorted, the outer mitochondrial membranes were ruptured, the cristae were vague, melted and even vacuolization. However, GX treatment significantly reduced the mitochondrial damage compared with those of the MIRI group (Figure 1(E)).
Figure 1.

GX treatment attenuated myocardial ischaemia-reperfusion injury and HR-induced H9c2 cardiomyocytes damage. (A) Representative images of heart sections stained by TTC. n = 4. N.D, no detectable. (B) The electrocardiographs of each group. (C) Representative images of Masson’s trichrome staining in heart tissue. Scale bar, 2 mm (left) and 500 μm (right). (D) The levels of AST, CK-MB and LDH in the serum. n = 6. (E) The representative TEM images of heart tissues. Scale bar, 1 μm, n = 3. (F) Cell viability of H9c2 cells pre-treated with various concentrations of GX for 24 h. n = 6. (G) Effects of GX on HR-induced H9c2 cells. n = 6. (H) The release of LDH in the supernatant of HR-induced H9C2 cells. n = 6. Data were expressed as the means ± SD analysed by one-way ANOVA. *p < 0.05, **p < 0.01 vs. Sham or Control; #p < 0.05, ##p < 0.01 vs. MIRI or HR.

GX treatment attenuated myocardial ischaemia-reperfusion injury and HR-induced H9c2 cardiomyocytes damage. (A) Representative images of heart sections stained by TTC. n = 4. N.D, no detectable. (B) The electrocardiographs of each group. (C) Representative images of Masson’s trichrome staining in heart tissue. Scale bar, 2 mm (left) and 500 μm (right). (D) The levels of AST, CK-MB and LDH in the serum. n = 6. (E) The representative TEM images of heart tissues. Scale bar, 1 μm, n = 3. (F) Cell viability of H9c2 cells pre-treated with various concentrations of GX for 24 h. n = 6. (G) Effects of GX on HR-induced H9c2 cells. n = 6. (H) The release of LDH in the supernatant of HR-induced H9C2 cells. n = 6. Data were expressed as the means ± SD analysed by one-way ANOVA. *p < 0.05, **p < 0.01 vs. Sham or Control; #p < 0.05, ##p < 0.01 vs. MIRI or HR. To further explore the protective effects of GX on cardiomyocytes, we established the HR (4-h hypoxia followed by 4-h reoxygenation) model in H9c2 cells. According to Figure 1(F), the increase concentration of GX from 0.125 to 2 mg/mL for 24 h did not cause apparent cytotoxicity in H9c2 cells under normal conditions. The calculated IC50 value was 3.913 mg/mL. As shown in the Figure 1(G), the cell viability of the HR group decreased remarkably compared with the control group, whereas GX treatment increased the cell viability after HR injury in a dose-dependent manner. At the concentration of 0.5 mg/mL, GX provided maximal protection on cardiomyocytes, so 0.5 mg/mL GX was selected to conduct the following experiments. The release of LDH was significantly increased in the HR-induced H9c2 cells, whereas 0.5 mg/mL GX alleviated the increased LDH release (Figure 1(H)). All these findings indicated that GX had an excellent protective effect on MIRI. After integrating information from TCMSP and ETCM databases, a total of 100 active compounds in GX and 213 compound-related targets were acquired. Besides, the 512 MIRI-related targets were searched from GeneCards, OMIM, DrugBank, TTD databases. A Venn diagram was constructed and 91 overlapping targets between GX and MIRI were obtained (Table 1). These overlapping targets were considered as potential targets of GX in the prevention and treatment of MIRI. Next, the 72 compounds and 91 overlapping targets were input into Cytoscape software to build the active compound-target network (Figure 2). The main active compounds of GX (top 20) are shown in Table 2. In the network, the orange rhombuses represented active compounds, and the light blue ovals represented overlapping targets. Then, the above 91 overlapping targets were submitted to the STRING database to construct a PPI network, which involved 91 nodes and 738 edges (Figure 3(A)). Subsequently, the relevant information of PPI network was imported into Cytoscape software to perform topological analysis. After screening according to Degree value ≥ 20 (Yong et al. 2021), a total of 31 core targets in the PPI network were extracted (Figure 3(B)). The size and colour of the nodes reflected the values of degree, and the top 15 targets were AKT1, TNF, IL6, EGFR, FOS, VEGFA, ESR1, PTGS2, MYC, CASP3, MMP9, HIFIA, NOS3, PPARG and STAT3.
Table 1.

Ninety-one overlapping targets between GX and MIRI.

No.Gene namesProtein names
1ACHEAcetylcholinesterase
2ADRA1AAlpha-1A adrenergic receptor
3ADRA1BAlpha-1B adrenergic receptor
4ADRA1DAlpha-1D adrenergic receptor
5ADRA2AAlpha-2A adrenergic receptor
6ADRA2BAlpha-2B adrenergic receptor
7ADRA2CAlpha-2C adrenergic receptor
8ADRB1Beta-1 adrenergic receptor
9ADRB2Beta-2 adrenergic receptor
10AHRAryl hydrocarbon receptor
11AKR1C3Aldo-keto reductase family 1 member C3
12AKT1Threonine-protein kinase
13APPAmyloid beta A4 protein
14ARAndrogen receptor
15BCL2Apoptosis regulator Bcl-2
16CALM1Calmodulin
17CASP3Caspase-3
18CCND1G1/S-specific cyclin-D1
19CHRM1Muscarinic acetylcholine receptor M1
20CHRM2Muscarinic acetylcholine receptor M2
21CHRM3Muscarinic acetylcholine receptor M3
22CHRM4Muscarinic acetylcholine receptor M4
23CHRM5Muscarinic acetylcholine receptor M5
24CHRNA2Neuronal acetylcholine receptor subunit alpha-2
25CHRNA7Neuronal acetylcholine receptor subunit alpha-7
26DPP4Dipeptidyl peptidase IV
27DRD1Dopamine D1 receptor
28DRD2Dopamine D2 receptor
29DRD5Dopamine D5 receptor
30EDNRAEndothelin-1 receptor
31EGFREpidermal growth factor receptor
32ESR1Estrogen receptor
33ESR2Estrogen receptor beta
34F10Coagulation factor Xa
35F2Kinetochore protein Nuf2
36F7Coagulation factor VII
37FOSProto-oncogene c-Fos
38GABRA1Gamma-aminobutyric acid receptor subunit alpha-1
39GABRA2Gamma-aminobutyric acid receptor subunit alpha-2
40GABRA3Gamma-aminobutyric acid receptor subunit alpha-3
41GABRA5Gamma-aminobutyric acid receptor subunit alpha-5
42GABRA6Gamma-aminobutyric acid receptor subunit alpha-6
43GABREGamma-aminobutyric acid receptor subunit epsilon
44GABRG3Gamma-aminobutyric acid receptor subunit gamma-3
45GSK3BGlycogen synthase kinase-3 beta
46HIF1AHypoxia-inducible factor 1-alpha
47HTR1A5-Hydroxytryptamine 1A receptor
48HTR1B5-Hydroxytryptamine 1B receptor
49HTR2A5-Hydroxytryptamine 2A receptor
50HTR2C5-Hydroxytryptamine 2C receptor
51HTR3A5-Hydroxytryptamine receptor 3A
52IL10Interleukin-10
53IL6Interleukin-6
54ITGB3Integrin beta-3
55KCNH2Potassium voltage-gated channel subfamily H member 2
56LTA4HLeukotriene A-4 hydrolase
57MAOAAmine oxidase [flavin-containing] A
58MAOBAmine oxidase [flavin-containing] B
59MAPK14Mitogen-activated protein kinase 14
60MDM2E3 ubiquitin-protein ligase Mdm2
61MIFMacrophage migration inhibitory factor
62MMP2Matrix metalloproteinase-2
63MMP9Matrix metalloproteinase-9
64MYCMyc proto-oncogene protein
65NFKBIANF-kappa-B inhibitor alpha
66NOS2Nitric oxide synthase, inducible
67NOS3Nitric oxide synthase, endothelial
68NR1I2Nuclear receptor subfamily 1 group I member 2
69NR1I3Nuclear receptor subfamily 1 group I member 3
70NR3C2Mineralocorticoid receptor
71OPRM1Mu-type opioid receptor
72PCNAProliferating cell nuclear antigen
73PDE3ACGMP-inhibited 3′,5′-cyclic phosphodiesterase A
74PON1Serum paraoxonase/arylesterase 1
75PPARGPeroxisome proliferator activated receptor gamma
76PRKCAProtein kinase C alpha type
77PRKCBProtein kinase C beta type
78PTGS1Prostaglandin G/H synthase 1
79PTGS2Prostaglandin G/H synthase 2
80RXRARetinoic acid receptor RXR-alpha
81SCN5ASodium channel protein type 5 subunit alpha
82SHBGSex hormone-binding globulin
83SLC6A2Sodium-dependent noradrenaline transporter
84SLC6A3Sodium-dependent dopamine transporter
85SLC6A4Sodium-dependent serotonin transporter
86STAT3Signal transducer and activator of transcription 3
87TNFTumor necrosis factor
88TOP2ADNA topoisomerase 2-alpha
89TOP2BDNA topoisomerase 2-beta
90TUBBTubulin beta chain
91VEGFAVascular endothelial growth factor A
Figure 2.

Active compound-target network. The orange rhombus nodes represent the molecular identification (MOL ID) number of active components in GX, and the blue oval nodes represent the overlapping targets.

Table 2.

The main active components of GX in the prevention and treatment of MIRI (top 20).

MOL IDCompound nameDegree
MOL01(+)-Catechin4
MOL022′-Hydroxymethylophiopogonone A2
MOL032-Isopropyl-8-methylphenanthrene-3,4-dione4
MOL043-Beta-hydroxymethyllenetanshiquinone1
MOL053α-HydroxytanshinoneIIa7
MOL064-Methylenemiltirone22
MOL075,6-Dihydroxy-7-iopropyl-1,1-dimethyl-2,3-dihydrophenanthren-4-one3
MOL085,7-Dihydroxy-6,8-dimethyl-3-(4′-hydroxy-3′-methoxybenzyl)Chroman-4-One6
MOL096-Aldehydo-Isoophiopogone B7
MOL107-Methoxy-2-methyl isoflavone29
MOL11Adenosine4
MOL12Angeloylgomisin O3
MOL13Beta-sitosterol8
MOL14Camphor2
MOL15Caproic Acid2
MOL16Cryptotanshinone16
MOL17Danshenol A5
MOL18Danshenol B2
MOL19Danshenspiroketallactone3
MOL20Danshenxinkum15
MOL21Dehydrotanshinone II A13
MOL22Deoxyharringtonine2
MOL23Deoxyneocryptotanshinone5
MOL24Dihydrotanshinlactone7
MOL25DihydrotanshinoneI6
MOL26Ellagic acid7
MOL27Epidanshenspiroketallactone2
MOL28Formyltanshinone1
MOL29Frutinone A11
MOL30Glycitein12
MOL31Gomisin A2
MOL32Gomisin G1
MOL33Gomisin R5
MOL34Isocryptotanshinone15
MOL35Isotanshinone II8
MOL36Longikaurin A5
MOL37Luteolin19
MOL38Methyl ophiopogonanone B5
MOL39Methyl-3-(3′,4′-dihydroxybenzyl) Chroman-4-One1
MOL40Methylenetanshinquinone8
MOL41Miltionone I1
MOL42Miltirone11
MOL43Neocryptotanshinone4
MOL44Neocryptotanshinone ii14
MOL45Ophiopogon A3
MOL46Ophiopogonanone B2
MOL47Ophiopogonanone D6
MOL48Ophiopogonanone E1
MOL49Ophiopogonanone F1
MOL50Paeoniflorgenone2
MOL51Paeoniflorin2
MOL52Perlolyrine3
MOL53Poriferasterol1
MOL54Prolithospermic acid4
MOL55Przewalskin a1
MOL56Przewalskin b1
MOL57Przewaquinone B3
MOL58przewaquinone c13
MOL59Przewaquinone E2
MOL60przewaquinone f2
MOL61Salvianolic acid a3
MOL62Salvianolic acid j1
MOL63Salvilenone4
MOL64Salviolone26
MOL65Schizandrer B2
MOL66Spinasterol1
MOL67Stigmasterol22
MOL68Tanshinaldehyde6
MOL69Tanshindiol B2
MOL70Tanshinone Ⅵ4
MOL71TanshinoneIIa21
MOL72Wuweizisu C2
Figure 3.

Construction of the PPI network. (A) The PPI network model. (B) The PPI network of core targets extracted from degree centrality.

Active compound-target network. The orange rhombus nodes represent the molecular identification (MOL ID) number of active components in GX, and the blue oval nodes represent the overlapping targets. Construction of the PPI network. (A) The PPI network model. (B) The PPI network of core targets extracted from degree centrality. Ninety-one overlapping targets between GX and MIRI. The main active components of GX in the prevention and treatment of MIRI (top 20). To further explore functions of the overlapping targets, GO and KEGG pathway enrichment analyses were performed using the DAVID online analysis platform. With P value < 0.05 as the screening criterion, a total of 216 biological process (BP)-related items and 91 KEGG pathways were screened out. The GO enrichment analysis results (Figure 4(A)) and the top 20 KEGG pathways (Figure 4(B)) were visualized by the Omicshare Tools. As shown in Figure 4(A), response to iron ion was the key biological process involved in the prevention and treatment of MIRI with GX. In addition, the KEGG pathways mainly included HIF-1 signalling pathway, Calcium signalling pathway and TNF signalling pathway. These results indicated that GX might play a protective role against MIRI by regulating the above multiple pathways. Studies have reported that HIF-1, a heterodimer consisting of an oxygen-regulated α subunit and a constitutively expressed β subunit, can regulate a series of genes that participate in iron metabolism (Romney et al. 2011; Zhang et al. 2011; Hirota 2019), so we further investigated whether iron metabolism was involved in the protection of GX against MIRI.
Figure 4.

Enrichment analysis of biological process (BP) and KEGG pathway. (A) GO enrichment analysis of BP. The top 20 BPs were selected to draw the bubble diagram. (B) KEGG pathway enrichment analysis. The top 20 KEGG pathways were selected to draw the circle chart.

Enrichment analysis of biological process (BP) and KEGG pathway. (A) GO enrichment analysis of BP. The top 20 BPs were selected to draw the bubble diagram. (B) KEGG pathway enrichment analysis. The top 20 KEGG pathways were selected to draw the circle chart.

GX treatment improved oxidative stress in vivo and in vitro

We further investigated the effects of GX on oxidative stress after myocardial ischaemia-reperfusion in rats. As shown in Figure 5(A,B), the activity of SOD was significantly suppressed and the level of MDA dramatically increased after ischaemia reperfusion. Intriguingly, these changes were effectively rescued by GX treatment.
Figure 5.

GX treatment improved oxidative stress in vivo and in vitro. (A) Myocardial MDA and (B) SOD activities. (C) Representative ROS levels of H9c2 cells measured by incubating with the H2DCFDA probe. Scale bar, 100 μm. (D) DCFH fluorescence measured by flow cytometry. Data were expressed as the means ± SD analysed by one-way ANOVA (n = 3). **p < 0.01 vs. Sham or Control; #p < 0.05, ##p < 0.01 vs. MIRI or HR.

GX treatment improved oxidative stress in vivo and in vitro. (A) Myocardial MDA and (B) SOD activities. (C) Representative ROS levels of H9c2 cells measured by incubating with the H2DCFDA probe. Scale bar, 100 μm. (D) DCFH fluorescence measured by flow cytometry. Data were expressed as the means ± SD analysed by one-way ANOVA (n = 3). **p < 0.01 vs. Sham or Control; #p < 0.05, ##p < 0.01 vs. MIRI or HR. To assess the intracellular ROS levels, the ROS-sensitive probe H2DCFDA was used. The intracellular ROS production was monitored by fluorescence microscopy and flow cytometry assay. After HR treatment, the DCF fluorescence intensity was significantly increased compared with the control group. Although GX pre-treatment alone showed no effect on ROS production, it remarkably reduced the level of ROS in the HR + GX group (Figure 5(C)). This was accompanied by the results of flow cytometry assay (Figure 5(D)). To sum up, these results revealed that GX could mitigate HR-induced ROS generation in H9c2 cells.

GX suppressed iron accumulation in vivo and in vitro

To determine the effect of GX treatment on MIRI-induced iron deposition in rats, Prussian blue staining was applied as shown in Figure 6(A). Little dark blue staining was observed in the Sham group, whereas the distinct iron accumulation in the heart tissue of the MIRI group was displayed. By contrast, GX treatment reduced the number of dark blue staining. Furthermore, the total iron content in the heart tissues was tested with iron assay kit. We found the increased total iron content in the MIRI rats, whereas treatment with GX significantly inhibited the iron increase (Figure 6(C)).
Figure 6.

GX suppressed iron accumulation in vivo and in vitro. (A) Representative images of iron deposition stained by Prussian blue. Scale bar, 50 μm. (B) The intracellular iron levels in H9c2 cells measured by FerroOrange. Scale bar, 100 μm. (C) The total iron contents of the heart tissues detected by iron assay kit. (D) The total iron contents of H9c2 detected by iron assay kit. Data were expressed as the means ± SD analysed by one-way ANOVA (n = 3). **p < 0.01 vs. Sham or Control; #p < 0.05 vs. MIRI or HR.

GX suppressed iron accumulation in vivo and in vitro. (A) Representative images of iron deposition stained by Prussian blue. Scale bar, 50 μm. (B) The intracellular iron levels in H9c2 cells measured by FerroOrange. Scale bar, 100 μm. (C) The total iron contents of the heart tissues detected by iron assay kit. (D) The total iron contents of H9c2 detected by iron assay kit. Data were expressed as the means ± SD analysed by one-way ANOVA (n = 3). **p < 0.01 vs. Sham or Control; #p < 0.05 vs. MIRI or HR. Moreover, intracellular iron levels in H9c2 cells were measured using FerroOrange. The cells in the HR group emitted much stronger orange fluorescence compared with the control group. Treatment with GX did not affect iron accumulation in H9c2 cells but decreased the HR-induced increase in the orange fluorescence intensity (Figure 6(B)). The increased iron content was discovered in HR group. However, such an increase in iron content was remarkably eliminated by pretreating the H9c2 cells with 0.5 mg/mL GX (Figure 6(D)). These data demonstrated that GX could ameliorate the iron accumulation both in myocardial tissue and H9c2 cells.

GX inhibited HIF1α, increased FPN and FTH expression in vivo and in vitro

The current researches have demonstrated that iron metabolism imbalance, especially iron overload, has been proved to be correlated with the pathology of MIRI, and multiple iron metabolism associated factors are implicated in the pathogenesis of MIRI (Ravingerova et al. 2020; Li et al. 2021). To validate whether the protective mechanism of GX on MIRI are associated with iron metabolism, immunohistochemical staining and Western blot analyses were conducted to examine the role of GX pre-treatment in the expression of HIF1α, FPN and FTH in vivo and in vitro. As shown in Figure 7(A,B), immunohistochemical staining of the heart tissues revealed a higher level of the expression of HIF1α and a lower level of the expression of FPN and FTH in the MIRI group compared with that in the Sham group. After pre-treatment with GX reversed the above levels, the expression of HIF1α was decreased and the expression of FPN and FTH was increased effectively. Consistent with in vivo experiments, the results of Western blot demonstrated that HR treatment upregulated the protein expression of HIF1α, but also simultaneously downregulated the expression of FPN and FTH in HR injured H9c2 cells. Similarly, GX treatment prevented HR-induced upregulation of HIF1α and downregulation of FPN and FTH (Figure 7(C)). Collectively, our research results revealed that GX could maintain iron homeostasis via regulating iron metabolism-associated factors both in vivo and in vitro.
Figure 7.

GX inhibited HIF1α, increased FPN and FTH expression in vivo and in vitro. (A,B) The expression of HIF1α, FPN and FTH detected by immunohistochemical staining in heart tissues. Scale bar, 50 μm. (C) The protein levels of HIF1α, FPN and FTH measured by Western blot in H9c2 cells. Data were expressed as the means ± SD analysed by one-way ANOVA (n = 3). *p < 0.05, **p < 0.01 vs. Sham or Control; #p < 0.05, ##p < 0.01 vs. MIRI or HR.

GX inhibited HIF1α, increased FPN and FTH expression in vivo and in vitro. (A,B) The expression of HIF1α, FPN and FTH detected by immunohistochemical staining in heart tissues. Scale bar, 50 μm. (C) The protein levels of HIF1α, FPN and FTH measured by Western blot in H9c2 cells. Data were expressed as the means ± SD analysed by one-way ANOVA (n = 3). *p < 0.05, **p < 0.01 vs. Sham or Control; #p < 0.05, ##p < 0.01 vs. MIRI or HR.

Discussion

GX is an in-hospital preparation developed by Professor Ning Gu, a famous TCM physician of Jiangsu, according to his long-term clinical experience. GX has been applied for the clinical treatment of coronary heart disease for nearly 20 years. Meanwhile, our previous animal experiments have shown that GX could trigger ventricular remodelling via significantly improving the cardiac function, the blood flow dynamics and reducing serum levels of inflammatory factors in AMI rats. In this study, we confirmed the cardioprotective effects of GX against MIRI in vivo and HR injury in vitro via reduction of iron accumulation and oxidative stress. Mechanistically, GX could regulate iron metabolism-related proteins to maintain heart iron homeostasis. The multi-components and multi-targets of TCM formula make it difficult to elucidate the underlying therapeutic mechanisms. Recently, network pharmacology is widely used to predict the bioactive ingredients of TCM and clarify the mechanism across multiple components, targets and pathways (Cui et al. 2021). Here, we integrated network pharmacology prediction and experimental validation to explore the potential engaged mechanism of GX in alleviating MIRI. In our present study, a total of 100 active ingredients in GX and 213 compound-related targets were acquired from TCMSP and ETCM databases. Then we searched 512 MIRI-related targets from GeneCards, OMIM, DrugBank and TTD databases. Next, 91 overlapping targets between GX and MIRI were obtained via constructing a Venn diagram. The GO function analysis showed that the above 91 overlapping targets were enriched for various biological processes, and response to iron ion was the crucial biological process involved in GX-provided protection against MIRI. Furthermore, KEGG pathway analysis found that GX could affect multiple pathways, including HIF-1 signalling pathway, Calcium signalling pathway and TNF signalling pathway. There is increasing evidence that iron metabolic imbalances participate in the pathophysiological process of MIRI. Furthermore, a recent clinical study using cardiac magnetic resonance imaging showed that the presence of myocardial haemorrhage was followed by the residual myocardial iron in post-MI patients received reperfusion therapy (Bulluck et al. 2016). Iron homeostasis is achieved through the coordination of various iron metabolism-related proteins, and HIF-1 is a pivotal regulator of iron metabolism in MIRI. Taken together, the results of network pharmacology indicated that GX could attenuate MIRI by regulating iron metabolic balance and maintaining iron homeostasis. Next, we further validated these prediction results from network pharmacology in the next following experiments. When ischaemia-reperfusion occurs, mitochondrial damage can induce ROS production. Oxidative stress triggered by excessive ROS is one of the most important initiators for MIRI, which can cause irreversible cardiomyocyte damage and cardiac dysfunction (Xiang et al. 2021). Moreover, uncontrolled accumulation of iron can induce oxidative stress, catalyse the redundant oxygen-free radicals and overproduction of ROS via the Fenton reaction and Haber-Weiss reaction (Kobayashi et al. 2018). The increased ROS can further mediate membrane lipid peroxidation reaction and generate MDA, and the antioxidant enzyme system, such as the activities of antioxidant enzyme SOD is also severely weakened (Tian et al. 2021). To further study the underlying mechanism of GX in alleviating MIRI, the antioxidant activity was investigated. The results revealed that ischaemia/reperfusion significantly increased the levels of SOD and decreased the level of MDA in mice, and these changes were significantly alleviated by GX. In addition, GX could inhibit ROS production in HR-induced H9c2 cells. This evidence indicated that GX could alleviate IR-induced oxidative stress injury during IR/HR. Imbalances in iron homeostasis have been reported to be involved in MIRI. Myocardial iron overload has been observed both in the post-MI patients received reperfusion therapy (Paterek et al. 2019) and the rats with myocardial ischaemia-reperfusion (Shan et al. 2021). Our results were consistent with these studies. Results from in vivo and in vitro experiments showed that distinct iron accumulation was been showed in ischaemia-reperfusion induced cardiac tissues and HR-induced H9c2 cells. However, the iron deposition was significantly alleviated by GX treatment both in vivo and in vitro. To further explore the mechanism of GX in reducing iron deposition, some iron metabolism-related proteins were investigated. As a key member of iron metabolism-associated factors, HIF-1α can regulate the transcription of genes involved in iron utilization, such as TFR1, ceruloplasmin, HMOX1 and DMT1; FPN is responsible for ferrous iron efflux from the cell to the peripheral circulation; FTH is responsible for Ferrous iron storage. Some studies demonstrated that activation of HIF-1α expression induced ischaemic tolerance and conferred a cardioprotective effect to diminish cardiac IR injury (Kido et al. 2005; Xie et al. 2015; Deguchi et al. 2020). However, some other studies indicated that the excessive and prolonged activation of HIF-1α can lead to myocyte death and trigger cardiac rupture (Ikeda et al. 2021). Moreover, activation of HIF-1α induced the expression of TFR1, which in turn increased Fe uptake and iron accumulation and exacerbated heart damage during IR of the rat heart, whereas inhibition of HIF-1α attenuated cardiac IR injury (Tang et al. 2008; Lin et al. 2020; Ikeda et al. 2021). Cardiac FPN regulated cellular iron homeostasis and was important for cardiac function, and the mRNA and protein expression levels of FPN were significantly reduced in rats’ hearts under myocardial IR conditions (Lakhal-Littleton et al. 2015; Tian et al. 2021). Furthermore, FTH was downregulated in animal model of MIRI leading to intracellular iron aggregation, oxidative stress and cardiomyocytes death (Omiya et al. 2009). Consistent with previous reports, we found that the expression of HIF1α was upregulated, whereas the expression of FPN and FTH was downregulated both in ischaemia-reperfusion-induced cardiac tissues and HR-induced H9c2 cells. Interestingly, GX pre-treatment was able to antagonize ischaemia-reperfusion and HR-induced upregulation of HIF1α and downregulation of FPN and FTH. From these, we concluded that GX could regulate iron metabolism-associated factors to maintain the intracellular iron homeostasis both in vivo and in vitro. Collectively, our study demonstrated that heart suffering ischaemia-reperfusion injury was exposed to iron accumulation and imbalance of oxidative and antioxidant systems, and GX could reduce oxidative stress levels and iron deposition by regulating iron metabolism-associated proteins, contributing to attenuation of MIRI. However, the specific mechanisms remain unclear. The accumulation of excess intracellular iron and redox efficacy of ferrous ions can trap cardiac cells into a vicious cycle of exacerbated ROS-induced impairment, contributing to membrane lipid peroxidation reaction along with MDA generation, which ultimately lead to ferroptosis (Li et al. 2021). Ferroptosis, characterized by iron-dependent accumulation of lipid hydroperoxides, is crucial for the pathogenic mechanism of MIRI, and precisely targeting ferroptosis mechanisms may be a promising therapeutic option to revert myocardial remodelling (Zhao et al. 2021). Therefore, whether ferroptosis participates in the protective effect of GX on MIRI still needs further investigation.

Conclusions

Our research demonstrated that GX maintained iron homeostasis and reduced oxidative stress levels by regulating iron metabolism-associated proteins, eventually contributing to amelioration of MIRI. These findings provide new evidences that GX may act as a potential candidate for the treatment of MIRI.
  55 in total

1.  Paeoniflorin on Rat Myocardial Ischemia Reperfusion Injury of Protection and Mechanism Research.

Authors:  Fubin Wu; Binhua Ye; Xiandan Wu; Xian Lin; Yanyan Li; Yongning Wu; Linping Tong
Journal:  Pharmacology       Date:  2019-10-16       Impact factor: 2.547

Review 2.  Evolving therapies for myocardial ischemia/reperfusion injury.

Authors:  Borja Ibáñez; Gerd Heusch; Michel Ovize; Frans Van de Werf
Journal:  J Am Coll Cardiol       Date:  2015-04-14       Impact factor: 24.094

Review 3.  Keeping heart homeostasis in check through the balance of iron metabolism.

Authors:  Driton Vela
Journal:  Acta Physiol (Oxf)       Date:  2019-06-19       Impact factor: 6.311

Review 4.  Pathological Roles of Iron in Cardiovascular Disease.

Authors:  Motoi Kobayashi; Tomohiro Suhara; Yuichi Baba; Nicholas K Kawasaki; Jason K Higa; Takashi Matsui
Journal:  Curr Drug Targets       Date:  2018       Impact factor: 3.465

5.  Catalpol alleviates myocardial ischemia reperfusion injury by activating the Nrf2/HO-1 signaling pathway.

Authors:  Hanwei Ge; Wei Lin; Zhiling Lou; Ruiheng Chen; Haochun Shi; Qifeng Zhao; Zhiyong Lin
Journal:  Microvasc Res       Date:  2021-12-15       Impact factor: 3.514

6.  Peoniflorin Preconditioning Protects Against Myocardial Ischemia/Reperfusion Injury Through Inhibiting Myocardial Apoptosis: RISK Pathway Involved.

Authors:  Hongen Ma; Jiping Hao; Huihui Liu; Jia Yin; Mingmin Qiang; Meilin Liu; Shaohui He; Di Zeng; Xiongtao Liu; Cheng Lian; Yuqin Gao
Journal:  Appl Biochem Biotechnol       Date:  2021-10-01       Impact factor: 2.926

7.  Downregulation of ferritin heavy chain increases labile iron pool, oxidative stress and cell death in cardiomyocytes.

Authors:  Shigemiki Omiya; Shungo Hikoso; Yukiko Imanishi; Atsuhiro Saito; Osamu Yamaguchi; Toshihiro Takeda; Isamu Mizote; Takafumi Oka; Manabu Taneike; Yuko Nakano; Yasushi Matsumura; Kazuhiko Nishida; Yoshiki Sawa; Masatsugu Hori; Kinya Otsu
Journal:  J Mol Cell Cardiol       Date:  2008-10-19       Impact factor: 5.000

8.  Polyol pathway mediates iron-induced oxidative injury in ischemic-reperfused rat heart.

Authors:  Wai Ho Tang; Song Wu; Tak Ming Wong; Sookja Kim Chung; Stephen Sum Man Chung
Journal:  Free Radic Biol Med       Date:  2008-05-15       Impact factor: 7.376

Review 9.  Mechanisms of cardiac iron homeostasis and their importance to heart function.

Authors:  Samira Lakhal-Littleton
Journal:  Free Radic Biol Med       Date:  2018-08-11       Impact factor: 7.376

10.  Effect of Guanxin V in animal model of acute myocardial infarction.

Authors:  Xiaoxiao Zhang; Changle Shao; Songyi Cheng; Yao Zhu; Bo Liang; Ning Gu
Journal:  BMC Complement Med Ther       Date:  2021-02-22
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