Network Pharmacology Analyses of the Pharmacological Targets and Therapeutic Mechanisms of Salvianolic Acid A in Myocardial Infarction

Huang, Qing; Zhang, Chao; Tang, Shaoyong; Wu, Xiaoyan; Peng, Xiong

doi:https://doi.org/10.1155/2022/8954035

Evidence-Based Complementary and Alternative Medicine

On this page

Abstract Introduction Materials and Methods Results Discussion Conclusion Data Availability Conflicts of Interest References Copyright Related Articles

Special Issue

Traditional Chinese Medicine and Small Molecule Treatment of Tumors

View this Special Issue

Research Article | Open Access

Volume 2022 | Article ID 8954035 | https://doi.org/10.1155/2022/8954035

Network Pharmacology Analyses of the Pharmacological Targets and Therapeutic Mechanisms of Salvianolic Acid A in Myocardial Infarction

Qing Huang,¹Chao Zhang,²Shaoyong Tang,¹Xiaoyan Wu,³and Xiong Peng¹

Academic Editor: Qing Li

Received13 May 2022

Revised25 Jun 2022

Accepted30 Jun 2022

Published05 Oct 2022

Abstract

Objective. Salvianolic acid A, a natural polyphenolic ingredient extracted from traditional Chinese medicine, possesses an excellent pharmacological activity against cardiovascular diseases. Herein, therapeutic mechanisms of salvianolic acid A in myocardial infarction were explored through systematic and comprehensive network pharmacology analyses. Methods. The chemical structure of salvianolic acid A was retrieved from PubChem database. Targets of salvianolic acid A were estimated through SwissTargetPrediction, HERB, and TargetNet databases. Additionally, by GeneCards, OMIM, DisGeNET, and TTD online tools, myocardial infarction-relevant targets were predicted. Following intersection, therapeutic targets were determined. The interaction of their products was evaluated with STRING database, and hub therapeutic targets were selected. GO and KEGG enrichment analyses of therapeutic targets were then implemented. H9C2 cells were exposed to oxygen‐glucose deprivation/reoxygenation (OGD/R) to mimic myocardial infarction and administrated with salvianolic acid A. Cellular proliferation was assayed via CCK‐8 assay, and hub therapeutic targets were verified with RT-qPCR. Results. In total, 120 therapeutic targets of salvianolic acid A in myocardial infarction were identified. There were close interactions between their products. Ten hub therapeutic targets were determined, covering SRC, CTNNB1, PIK3CA, AKT1, RELA, EGFR, FYN, ITGB1, MAPK8, and NFKB1. Therapeutic targets were significantly correlated to myocardial infarction-relevant pathways, especially PI3K-Akt signaling pathway. Salvianolic acid A administration remarkably ameliorated the viability of OGD/R-induced H9C2 cells, and altered the expression of hub therapeutic targets. Conclusion. Our work uncovers therapeutic mechanisms of salvianolic acid A for the treatment of myocardial infarction, providing a new insight into further research on salvianolic acid A.

1. Introduction

Cardiovascular disease is a general term for diseases that damage the heart and blood vessels, characterized by rapid onset and high morbidity [1]. In accordance with the WHO, approximately 18 million individuals died from cardiovascular disease in 2019, which represented 32% of overall global deaths as the dominating cause of deaths in all diseases [2]. Myocardial infarction, often triggered by blood clot blocking artery or bypass graft, has the features of a sudden decrease in blood flow to myocardium, eventually resulting in heart failure even death [3]. Among cardiovascular diseases, myocardial infarction has become a primary international health issue [4]. Thrombolysis, percutaneous coronary intervention as well as coronary artery bypass graft remain the most commonly applied approaches in treating myocardial infarction. Nevertheless, patients often present complications such as bleeding, ischemia-reperfusion damage as well as coronary restenosis. Therefore, more effective therapeutic approaches to alleviate apoptosis of cardiomyocytes and facilitate local angiogenesis are urgently required for preventing the expansion of irreversible myocardial damage [5].

Salvianolic acids are extracted from Salvia miltiorrhiza Bunge (Danshen). Salvianolic acid A is the strongest antioxidant among salvianolic acids, which is an effective free radical scavenger because of the polyphenolic structure [6]. It has been suggested that salvianolic acid A exerts diverse pharmacological properties, especially for cardiovascular diseases [7]. Preclinical evidence has demonstrated the cardioprotective property of salvianolic acid A against myocardial infarction. Salvianolic acid A attenuates myocardial infarction-triggered apoptosis and inflammation through activation of thioredoxin [8]. Also, it exhibits the antiapoptotic and cardioprotective effects on rat cardiomyocytes under ischemia/reperfusion via DUSP-induced modulation of ERK1/2/JNK signaling [9]. Experimental evidence also demonstrates that salvianolic acid A possesses antioxidant activity and exerts a remarkable protective function against isoproterenol-triggered myocardial infarction [10]. Additionally, salvianolic acid A exhibits cardioprotective effects by facilitating angiogenesis [11] as well as lowering plasma uric acid levels [12] and plasma and tissue dimethylarginine levels [13] in acute myocardial infarction animal models. Despite this, there is a lack of systematic and comprehensive analysis of the therapeutic mechanisms of salvianolic acid A in myocardial infarction.

Network pharmacology is an effective approach to establish a “compound-protein/gene-disease” network, which reveals the regulation principle of small molecule compounds with a high-throughput manner, thus providing a broader selection of pharmacologically relevant targets [14]. Herein, we applied network pharmacology analyses to dissect the therapeutic mechanisms of salvianolic acid A systematically and comprehensively in myocardial infarction. Additionally, the effects and therapeutic targets of salvianolic acid A in myocardial infarction were verified in oxygen‐glucose deprivation/reoxygenation (OGD/R)-induced H9C2 cells that mimicked myocardial infarction.

2. Materials and Methods

2.1. Retrieval of the Chemical Structure of Salvianolic Acid A

PubChem (https://pubchem.ncbi.nlm.nih.gov) is an important chemical information resource, which comprises over 293 million depositor-provided substance descriptions, 111 million unique chemical structures as well as 271 million biological activity data points from 1.2 million bioassay experiments [15]. The chemical structure of salvianolic acid A was accessed from PubChem.

2.2. Analyses of Salvianolic Acid A Targets

The SwissTargetPrediction web tool (http://www.swisstargetprediction.ch) allows users to predict the most possible macromolecular targets of a specific small molecule compound on the basis of 2D and 3D similarity with a library of 370000 known actives on over 3000 proteins from three distinct species [16]. The canonical SMILES “C1=CC(=C(C=C1CC(C(=O)O)OC(=O)C=CC2=C(C(=C(C=C2)O)O)C=CC3=CC(=C(C=C3)O)O)O)O” of salvianolic acid A was uploaded to SwissTargetPrediction, and potential molecular targets of salvianolic acid A were downloaded. HERB (http://herb.ac.cn/) is a high-throughput experiment and reference guide database of traditional Chinese medicine [17]. Salvianolic acid A ingredient was input into HERB database, and relevant gene targets were gathered from curated references. TargetNet (http://targetnet.scbdd.com) is a web service to estimate potential drug-target interactions through multitarget SAR models [18]. Potential targets of salvianolic acid A were screened on the basis of ECFP2 molecular fingerprint in accordance with the area under the receiver operating characteristic curve = 1. On the basis of SwissTargetPrediction, HERB, and TargetNet databases, potential molecular targets of salvianolic acid A were merged and deduplicated. Through the Uniprot database (https://www.uniprot.org/) [19], gene name of targets was corrected and matched.

2.3. Acquirement of Targets of Myocardial Infarction

GeneCards (http://www.genecards.org/) [20] and Online Mendelian Inheritance in Man (OMIM; http://omim.org) [21] are comprehensive, and authoritative research resources of annotative information of human genes. DisGeNET (http://www.disgenet.org/) is a knowledge management platform that integrates and standardizes data about disease-relevant genes and variants from a variety of sources, covering over 24,000 diseases and phenotypes, 17,000 genes as well as 117,000 genomic variants [22]. Therapeutic Target Database (TTD; http://db.idrblab.net/ttd/) is a popular information resource of the known therapeutic protein and nucleic acid targets, the targeted diseases, the pathway information as well as the matched drugs or ligands [23]. Potential targets of myocardial infarction were searched from above databases, followed by merging, deduplication, and correction through the Uniprot database.

2.4. Identification of Targets Shared by Salvianolic Acid A and Myocardial Infarction

Targets of salvianolic acid A and myocardial infarction were intersected, and imported into Venny 2.1 online tool (http://bioinfogp.cnb.csic.es/tools/venny/index.html). The Venn diagram of targets shared by salvianolic acid A and myocardial infarction was drawn.

2.5. Protein-Protein Interaction (PPI) Analyses

The PPIs of myocardial infarction targets of salvianolic acid A were estimated with the STRING online tool (https://string-db.org/) that integrates all known and predicted PPIs comprising physical and functional interactions [24]. The criteria included organism, Homo sapiens; settings, highest confidence (0.900). The PPI network was drawn via Cytoscape 3.7.2 (https://cytoscape.org/) [25]. The degree of targets was computed with Count package. Through cytoHubba plugin, hub genes were selected.

2.6. Functional Enrichment Analyses

Utilizing clusterProfiler package [26], functional enrichment analyses of myocardial infarction targets of salvianolic acid A were implemented. Gene ontology (GO) analyses were utilized for describing biological functions of gene products, comprising biological processes (BPs), cellular components (CCs), along with molecular functions (MFs). Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were applied for probing out signaling pathways enriched by myocardial infarction targets of salvianolic acid A. A value < 0.05 was regarded as significant enrichment. The map of KEGG pathways was drawn via pathview package [27].

2.7. Cell Culture, OGD/R Injury, and Administration

H9C2 cells (ATCC, USA) were maintained in DMEM (Gibco, USA) with 10% fetal bovine serum, penicillin (100 μg/mL), and streptomycin (100 μg/mL) in a humidified incubator with 5% CO₂ at 37°C. The medium was exchanged every three days.

H9C2 cells were pretreated with 50 μm salvianolic acid A with 98.15% purity (MedChemExpress, China) for 24 h, as previously described [8]. For establishing an in vitro model of myocardial infarction, H9C2 cells were washed with PBS and maintained in DMEM. Afterwards, they were grown lasting 3 h in an incubator flushed with a gas mixture (1% O₂, 5% CO₂ as well as 94% N₂). Following OGD, they were grown in complete culture medium with 5% CO₂ and 95% air lasting 6 h. Control cells were grown in DMEM with normoxia.

2.8. Cell Viability Assay

Cell viability was assayed with cell counting kit‐8 (CCK‐8) kit (MedChemExpress, China). H9C2 cells were grown in a 96‐well plate (1 × 104 cells/well). 10 μL CCK‐8 reagent was added to each well with H9C2 cells. The plate was cultured at 37°C for 2 h away from light. The optical density was monitored with microplate reader at 450 nm.

2.9. Reverse Transcription-Quantitative PCR (RT-qPCR)

Total RNA extraction from H9C2 cells was implemented via TRIzol reagent (Solarbio, China). The RNA content was measured with UV spectrophotometry. Extracted RNA was utilized for reverse transcription and cDNA was synthesized. The qPCR assays were implemented utilizing SYBR Premix Ex Taq II and RT-qPCR detection system. GAPDH was utilized for normalizing mRNA expressions. Relative expressions were computed with 2^−ΔΔCt. Sequences of primers (SRC, CTNNB1, PIK3CA, AKT1, RELA, EGFR, FYN, ITGB1, MAPK8, and NFKB1) utilized for RT-qPCR are listed in Table 1.

2.10. Statistical Analyses

Data were analyzed through appropriate R packages and GraphPad Prism 8 software. ANOVA was applied for comparisons between groups, and the difference was statistically significant when .

3. Results

3.1. The Chemical Structure and Potential Targets of Salvianolic Acid A

The chemical structure of salvianolic acid A was retrieved from the PubChem database, as illustrated in Figure 1. To determine potential molecular targets of salvianolic acid A, we employed three web tools, comprising SwissTargetPrediction, HERB, and TargetNet databases. As a result, 100 (Table 2), 33 (Table 3), and 79 (Table 4) potential targets of salvianolic acid A were predicted on the basis of SwissTargetPrediction, HERB, and TargetNet databases, respectively. After merging and deduplication, we finally retrieved 180 potential targets of salvianolic acid A (Figure 2(a)). SwissTargetPrediction-, HERB-, and TargetNet-predicted targets of salvianolic acid A occupied 47%, 16%, and 37% of all targets, respectively. Through SwissTargetPrediction web tool, target classes of the top 15 potential targets of salvianolic acid A were analyzed. In Figure 2(b), 40.0% belonged to protease, with 26.7% for lyase, 13.3% for membrane receptor, and with 6.7% for secreted protein, enzyme, or kinase.

(a)

(b)

3.2. Estimation of Targets of Myocardial Infarction

To estimate the potential targets of myocardial infarction, this study integrated four comprehensive databases comprising GeneCards, OMIM, DisGeNET and TTD. As a result, 4633, 39, 1800, and 36 myocardial infarction-relevant targets were separately retrieved from GeneCards, OMIM, DisGeNET and TTD databases (Figure 3). After merging and deduplication, 5172 disease targets of myocardial infarction were finally obtained.

3.3. Identification of Targets Shared by Salvianolic Acid A and Myocardial Infarction

To determine myocardial infarction targets of salvianolic acid A, we took the intersection between targets of salvianolic acid A and myocardial infarction. As illustrated in Figure 4,120 targets shared by salvianolic acid A and myocardial infarction were eventually obtained.

3.4. Interactions between Products of Myocardial Infarction Targets of Salvianolic Acid A

Through the STRING online tool, we evaluated the interactions between products of myocardial infarction targets of salvianolic acid A. Figure 5 illustrates their interactions. We computed the degree of each target. Figure 6(a) visualizes the top twenty myocardial infarction targets of salvianolic acid A in accordance with the degree, comprising SRC, CTNNB1, PIK3CA, AKT1, RELA, EGFR, FYN, ITGB1, MAPK8, NFKB1, ESR1, PLG, MAPK14, ERBB2, IL6, ITGB3, ITGAV, KDR, MTOR, and APP. With cytoHubba plugin, ten hub myocardial infarction targets of salvianolic acid A were determined, covering SRC, CTNNB1, PIK3CA, AKT1, RELA, EGFR, FYN, ITGB1, MAPK8, and NFKB1 (Figure 6(b)).

(a)

(b)

3.5. Biological Functions and Pathways of Myocardial Infarction Targets of Salvianolic Acid A

GO enrichment analyses were implemented for probing out biological functions of 120 myocardial infarction targets of salvianolic acid A. In Figure 7(a), the myocardial infarction targets of salvianolic acid A were remarkably linked to biological processes of response to molecule of bacterial origin, response to lipopolysaccharide, cellular response to chemical stress, reactive oxygen species metabolic process, response to oxidative stress, regulation of reactive oxygen species metabolic process, response to reactive oxygen species, peptidyl-serine phosphorylation, cellular response to biotic stimulus, and peptidyl-serine modification. Additionally, cellular components of membrane raft, membrane microdomain, membrane region, vesicle lumen, secretory granule lumen, cytoplasmic vesicle lumen, integrin complex, platelet alpha granule, protein complex involved in cell adhesion, and cell projection membrane were significantly enriched by the myocardial infarction targets of salvianolic acid A. We also found the significant enrichment of molecular functions of protease binding, endopeptidase activity, metallopeptidase activity, metalloendopeptidase activity, serine-type peptidase activity, serine hydrolase activity, serine-type endopeptidase activity, protein tyrosine kinase activity, 1-phosphatidylinositol-3-kinase activity, and integrin binding by the myocardial infarction targets of salvianolic acid A. On the basis of them, the myocardial infarction targets of salvianolic acid A exerted key functions in myocardial infarction.

(a)

(b)

(c)

Figure 7

Biological functions and pathways of myocardial infarction targets of salvianolic acid A. (a) The first ten biological processes (BPs), cellular components (CCs), and molecular functions (MFs) of myocardial infarction targets of salvianolic acid A BPs, CCs, and MFs are marked by unique colors. The length of the column is proportional to the enrichment score (b) The first twenty Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways of myocardial infarction targets of salvianolic acid (A) The size of the bubble is proportional to the count of myocardial infarction targets of salvianolic acid A enriched. The closer the color is to red, the smaller the adjusted -value. (c) The map of the PI3K-Akt signaling pathway.

KEGG pathway enrichment analyses were conducted for unveiling the pathways involved in the myocardial infarction targets of salvianolic acid A. As illustrated in Figure 7(b), myocardial infarction-relevant pathways (PI3K-Akt signaling pathway, lipid and atherosclerosis, fluid shear stress and atherosclerosis, focal adhesion, AGE-RAGE signaling pathway in diabetic complications, sphingolipid signaling pathway, HIF-1 signaling pathway, TNF signaling pathway, IL-17 signaling pathway, etc.) were significantly correlated to the myocardial infarction targets of salvianolic acid A. Especially, the details of PI3K-Akt signaling pathway were visualized, as illustrated in Figure 7(c).

3.6. Verification of the Effects and Therapeutic Targets of Salvianolic Acid A in Myocardial Infarction

H9C2 cells were exposed to OGD/R to mimic myocardial infarction. In comparison to normoxia, OGD/R-exposed H9C2 cells presented the reduced proliferation (Figure 8(a)). Pretreatment of 50 μm salvianolic acid A remarkably improved the proliferation of OGD/R-exposed H9C2 cells. Hub myocardial infarction targets of salvianolic acid A were further verified. Compared with normoxia, SRC, CTNNB1, PIK3CA, AKT1, RELA, EGFR, FYN, MAPK8, and NFKB1 expressions were upregulated, and ITGB1 expression was downregulated in OGD/R-exposed H9C2 cells (Figures 8(b)–8(k)). Pretreatment of salvianolic acid A reduced SRC, CTNNB1, PIK3CA, AKT1, RELA, EGFR, FYN, MAPK8, and NFKB1 expressions as well as elevated ITGB1 expression in OGD/R-exposed H9C2 cells.

(a)

(b)

(c)

(d)

(e)

(f)

(g)

(h)

(i)

(j)

(k)

Figure 8

Verification of the effects and therapeutic targets of salvianolic acid A in myocardial infarction. (a) The proliferation of H9C2 cells administrated with normoxia (control), oxygen‐glucose deprivation/reoxygenation (OGD/R) (model), and salvianolic acid A pretreatment. (b–k) Reverse transcription-quantitative PCR of SRC, CTNNB1, PIK3CA, AKT1, RELA, EGFR, FYN, ITGB1, MAPK8, and NFKB1 expressions in H9C2 cells administrated with normoxia (control), OGD/R (model), and salvianolic acid A pretreatment. ; ; .

4. Discussion

Salvianolic acid A is extracted from traditional Chinese medicine Salvia miltiorrhiza, which is a major water-soluble as well as a biologically active ingredient [28]. The present study employed network pharmacology analyses to uncover the pharmacological targets and therapeutic mechanisms of salvianolic acid A in myocardial infarction. Further, H9C2 cells were administrated with OGD/R to mimic myocardial infarction, and the effects and hub therapeutic targets were confirmed. Thus, our findings unveiled the possible functional mechanisms and pharmacological targets of salvianolic acid A as an antimyocardial infarction therapy.

Through intersecting the targets of salvianolic acid A and myocardial infarction, 120 pharmacological targets of salvianolic acid A in myocardial infarction were determined. Among them, ten hub therapeutic targets were identified, covering SRC, CTNNB1, PIK3CA, AKT1, RELA, EGFR, FYN, ITGB1, MAPK8, and NFKB1. Evidence has demonstrated the functions of the hub therapeutic targets in myocardial infarction. Blockage of SRC can stabilize Flk/cadherin complexing, reduce edema as well as tissue damage after myocardial infarction [29]. Additionally, SRC suppression reverses Cx43 remodeling and improves heart function following myocardial infarction [30]. CTNNB1 protein product β-catenin is a key integral part of the canonical Wnt/β-catenin pathway. Wnt/β-catenin damage response enables to activate the epicardium as well as cardiac fibroblasts for promoting cardiac repair [31]. The blockage of the Wnt/β-catenin pathway improves the cardiac function of myocardial infarction [32]. Activated RELA/p65 results in myocardial infarction [33], and activation of EGFR-dependent pathway strengthens cardiac fibrosis and exacerbates cardiac dysfunction in myocardial infarction [34]. The basic fibroblast growth factor activates Nrf2-triggered antioxidant defenses through Akt/GSK3β/Fyn signaling in myocardial infarction [35]. Endothelial ITGB1 (β1 integrin) is essential for the heart to adapt cardiac ischemia and protects from myocardial infarction [36]. ITGB1 upregulation is capable of increasing cardiac function and clinical outcome after myocardial infarction [37, 38]. NFKB1 gene rs28362491 ins/del variation correlates to increased susceptibility to myocardial infarction among Chinese Han patients [39].

Therapeutic targets were significantly linked to myocardial infarction-relevant pathways, such as PI3K-Akt signaling pathway. Evidence demonstrates that salvianolic acid A is regarded as a potential PI3K/Akt inhibitor. For instance, salvianolic acid A enables to attenuate CCl4-triggered liver fibrosis through inactivation of the PI3K-Akt pathway [40]. Moreover, it hinders vasculogenic mimicry formation in human non-small cell lung carcinoma through the PI3K-Akt pathway [41]. Additionally, through suppressing PI3K-Akt pathway, salvianolic acid A triggers cellular apoptosis as well as blocks tumor growth in acute myeloid leukemia [42]. The PI3K-Akt pathway participates in myocardial ischemia/reperfusion damage in diabetic murine models, which is blocked by salvianolic acid A [43]. Salvianolic acid A hinders malignant development of glioma as well as strengthens temozolomide sensitivity through weakening PI3K-Akt pathway [44]. Because the PI3K-Akt pathway plays a key role in administering the process of myocardial infarction, targeting this aberrant signaling pathway as well as improving the pathological manifestation of myocardial infarction remains indispensable [5].

We further verified the effects and therapeutic targets of salvianolic acid A in myocardial infarction in OGD/R-induced H9C2 cells. As expected, salvianolic acid A administration enabled to ameliorate the viability of OGD/R-induced H9C2 cells as well as alter the expression of the hub therapeutic targets. Nevertheless, several limitations should be pointed out. First, the hub therapeutic targets of salvianolic acid A should be verified in myocardial infarction animal models. In our future research, we will further investigate the therapeutic effects as well as pharmacologically relevant targets of salvianolic acid A in myocardial infarction animal models. Second, further clinical trials are urgently needed to verify the therapeutic effects of salvianolic acid A against myocardial infarction.

5. Conclusion

The present study unveiled the pharmacological targets and therapeutic mechanisms of salvianolic acid A in myocardial infarction utilizing network pharmacology analyses and in vitro OGD/R H9C2 cellular models of myocardial infarction, which paved the way for further clinical trials.

Abbreviations:

OGD/R:	Oxygen‐glucose deprivation/reoxygenation
OMIM:	Online Mendelian Inheritance in Man
TTD:	Therapeutic Target Database
PPI:	Protein-protein interaction
GO:	Gene ontology
BPs:	Biological processes
CCs:	Cellular components
MFs:	Molecular functions
KEGG:	Kyoto Encyclopedia of Genes and Genomes
CCK‐8:	Cell counting kit‐8
RT-qPCR:	Reverse transcription-quantitative PCR.

Data Availability

The datasets analyzed during the current study are available from the corresponding author on reasonable request.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

References

A. A. Damluji, S. v. Diepen, J. N. Katz et al., “Mechanical complications of acute myocardial infarction: a scientific statement from the American heart association,” Circulation, vol. 144, no. 2, 2021.
View at: Publisher Site | Google Scholar
H. T. Shi, Z. H. Huang, T. Z. Xu, A. J. Sun, and J. B. Ge, “New diagnostic and therapeutic strategies for myocardial infarction via nanomaterials,” EBioMedicine, vol. 78, 2022.
View at: Publisher Site | Google Scholar
R. S. Wright, J. L. Anderson, C. D. Adams et al., “2011 ACCF/AHA focused update of the guidelines for the management of patients with unstable Angina/non-ST-elevation myocardial infarction (updating the 2007 guideline): a report of the American college of cardiology foundation/American heart association task force on practice guidelines,” Circulation, vol. 123, no. 18, pp. 2022–2060, 2011.
View at: Publisher Site | Google Scholar
A. Camaj, V. Fuster, G. Giustino et al., “Left ventricular thrombus following acute myocardial infarction: JACC state-of-the-art review,” Journal of the American College of Cardiology, vol. 79, no. 10, pp. 1010–1022, 2022.
View at: Publisher Site | Google Scholar
Q. Zhang, L. Wang, S. Wang et al., “Signaling pathways and targeted therapy for myocardial infarction,” Signal Transduction and Targeted Therapy, vol. 7, no. 1, p. 78, 2022.
View at: Publisher Site | Google Scholar
J. Zhang, J. Zhu, L. Zhao et al., “RGD-modified multifunctional nanoparticles encapsulating salvianolic acid A for targeted treatment of choroidal neovascularization,” Journal of Nanobiotechnology, vol. 19, no. 1, p. 196, 2021.
View at: Publisher Site | Google Scholar
C. D. Liu, N. N. Liu, S. Zhang et al., “Salvianolic acid A prevented cerebrovascular endothelial injury caused by acute ischemic stroke through inhibiting the Src signaling pathway,” Acta Pharmacologica Sinica, vol. 42, no. 3, pp. 370–381, 2021.
View at: Publisher Site | Google Scholar
R. Zhou, J. Gao, C. Xiang et al., “Salvianolic acid A attenuated myocardial infarction-induced apoptosis and inflammation by activating Trx,” Naunyn-Schmiedeberg’s Archives of Pharmacology, vol. 393, no. 6, pp. 991–1002, 2020.
View at: Publisher Site | Google Scholar
T. Xu, X. Wu, Q. Chen et al., “The anti-apoptotic and cardioprotective effects of salvianolic acid a on rat cardiomyocytes following ischemia/reperfusion by DUSP-mediated regulation of the ERK1/2/JNK pathway,” PLoS One, vol. 9, no. 7, 2014.
View at: Publisher Site | Google Scholar
S. B. Wang, S. Tian, F. Yang, H. g. Yang, X. y. Yang, and G. h. Du, “Cardioprotective effect of salvianolic acid A on isoproterenol-induced myocardial infarction in rats,” European Journal of Pharmacology, vol. 615, pp. 125–132, 2009.
View at: Publisher Site | Google Scholar
L. J. Yu, K. J. Zhang, J. Z. Zhu et al., “Salvianolic acid exerts cardioprotection through promoting angiogenesis in animal models of acute myocardial infarction: preclinical evidence,” Oxidative Medicine and Cellular Longevity, vol. 2017, pp. 1–11, 2017.
View at: Publisher Site | Google Scholar
H. Wang, X. Li, W. Zhang et al., “Mechanism-based pharmacokinetic-pharmacodynamic modeling of salvianolic acid A effects on plasma xanthine oxidase activity and uric acid levels in acute myocardial infarction rats,” Xenobiotica, vol. 47, no. 3, pp. 208–216, 2017.
View at: Publisher Site | Google Scholar
H. He, X. Li, H. Wang et al., “Effects of salvianolic acid A on plasma and tissue dimethylarginine levels in a rat model of myocardial infarction,” Journal of Cardiovascular Pharmacology, vol. 61, no. 6, pp. 482–488, 2013.
View at: Publisher Site | Google Scholar
C. Nogales, Z. M. Mamdouh, M. List, C. Kiel, A. I. Casas, and H. H. Schmidt, “Network pharmacology: curing causal mechanisms instead of treating symptoms,” Trends in Pharmacological Sciences, vol. 43, no. 2, pp. 136–150, 2022.
View at: Publisher Site | Google Scholar
S. Kim, J. Chen, T. Cheng et al., “PubChem in 2021: new data content and improved web interfaces,” Nucleic Acids Research, vol. 49, 2021.
View at: Publisher Site | Google Scholar
A. Daina, O. Michielin, and V. Zoete, “SwissTargetPrediction: updated data and new features for efficient prediction of protein targets of small molecules,” Nucleic Acids Research, vol. 47, 2019.
View at: Publisher Site | Google Scholar
S. Fang, L. Dong, L. Liu et al., “HERB: a high-throughput experiment- and reference-guided database of traditional Chinese medicine,” Nucleic Acids Research, vol. 49, 2021.
View at: Publisher Site | Google Scholar
Z. J. Yao, J. Dong, Y. J. Che et al., “TargetNet: a web service for predicting potential drug-target interaction profiling via multi-target SAR models,” Journal of Computer-Aided Molecular Design, vol. 30, no. 5, pp. 413–424, 2016.
View at: Publisher Site | Google Scholar
UniProt Consortium, “The universal protein knowledgebase in 2021,” Nucleic Acids Research, vol. 49, 2021.
View at: Google Scholar
M. Safran, I. Solomon, O. Shmueli et al., “GeneCardsTM 2002: towards a complete, object-oriented, human gene compendium,” Bioinformatics, vol. 18, no. 11, pp. 1542-1543, 2002.
View at: Publisher Site | Google Scholar
J. S. Amberger, C. A. Bocchini, F. Schiettecatte, A. F. Scott, and A. Hamosh, “OMIM.org: online Mendelian Inheritance in Man (OMIM®), an online catalog of human genes and genetic disorders,” Nucleic Acids Research, vol. 43, 2015.
View at: Publisher Site | Google Scholar
J. Piñero, J. M. Ramírez-Anguita, J. Saüch-Pitarch et al., “The DisGeNET knowledge platform for disease genomics: 2019 update,” Nucleic Acids Research, vol. 48, 2020.
View at: Publisher Site | Google Scholar
Y. Wang, S. Zhang, F. Li et al., “Therapeutic target database 2020: enriched resource for facilitating research and early development of targeted therapeutics,” Nucleic Acids Research, vol. 48, 2020.
View at: Publisher Site | Google Scholar
D. Szklarczyk, A. L. Gable, K. C. Nastou et al., “The STRING database in 2021: customizable protein-protein networks, and functional characterization of user-uploaded gene/measurement sets,” Nucleic Acids Research, vol. 49, 2021.
View at: Publisher Site | Google Scholar
N. T. Doncheva, J. H. Morris, J. Gorodkin, and L. J. Jensen, “Cytoscape StringApp: network analysis and visualization of proteomics data,” Journal of Proteome Research, vol. 18, no. 2, pp. 623–632, 2019.
View at: Publisher Site | Google Scholar
G. Yu, L. G. Wang, Y. Han, and Q. Y. He, “clusterProfiler: an R package for comparing biological themes among gene clusters,” OMICS: A Journal of Integrative Biology, vol. 16, no. 5, pp. 284–287, 2012.
View at: Publisher Site | Google Scholar
W. Luo and C. Brouwer, “Pathview: an R/Bioconductor package for pathway-based data integration and visualization,” Bioinformatics, vol. 29, no. 14, pp. 1830-1831, 2013.
View at: Publisher Site | Google Scholar
X. Li, D. Qi, M. Y. Wang et al., “Salvianolic acid A attenuates steroid resistant nephrotic syndrome through suPAR/uPAR-αvβ3 signaling Inhibition,” Journal of Ethnopharmacology, vol. 279, 2021.
View at: Publisher Site | Google Scholar
S. Weis, S. Shintani, A. Weber et al., “Src blockade stabilizes a Flk/cadherin complex, reducing edema and tissue injury following myocardial infarction,” Journal of Clinical Investigation, vol. 113, no. 6, pp. 885–894, 2004.
View at: Publisher Site | Google Scholar
L. Zheng, A. J. Trease, K. Katsurada et al., “Inhibition of Pyk2 and Src activity improves Cx43 gap junction intercellular communication,” Journal of Molecular and Cellular Cardiology, vol. 149, pp. 27–40, 2020.
View at: Publisher Site | Google Scholar
J. Duan, C. Gherghe, D. Liu et al., “Wnt1/βcatenin injury response activates the epicardium and cardiac fibroblasts to promote cardiac repair,” The EMBO Journal, vol. 31, no. 2, pp. 429–442, 2012.
View at: Publisher Site | Google Scholar
B. Zou, T. Huang, D. Wu et al., “Knockdown of ZFAS1 improved the cardiac function of myocardial infarction rats via regulating Wnt/β-catenin signaling pathway,” Aging (Albany NY), vol. 13, no. 9, pp. 12919–12928, 2021.
View at: Publisher Site | Google Scholar
B. Lin, X. Chen, C. Lu et al., “Loss of exosomal LncRNA HCG15 prevents acute myocardial ischemic injury through the NF-κB/p65 and p38 pathways,” Cell Death & Disease, vol. 12, no. 11, p. 1007, 2021.
View at: Publisher Site | Google Scholar
L. Liu, X. Jin, C. F. Hu et al., “Amphiregulin enhances cardiac fibrosis and aggravates cardiac dysfunction in mice with experimental myocardial infarction partly through activating EGFR-dependent pathway,” Basic Research in Cardiology, vol. 113, no. 2, p. 12, 2018.
View at: Publisher Site | Google Scholar
G. Tong, Y. Liang, M. Xue et al., “The protective role of bFGF in myocardial infarction and hypoxia cardiomyocytes by reducing oxidative stress via Nrf2,” Biochemical and Biophysical Research Communications, vol. 527, no. 1, pp. 15–21, 2020.
View at: Publisher Site | Google Scholar
C. Henning, A. Branopolski, P. Follert et al., “Endothelial β1 integrin-mediated adaptation to myocardial ischemia,” Thrombosis & Haemostasis, vol. 121, no. 6, pp. 741–754, 2021.
View at: Publisher Site | Google Scholar
L. Li, Q. Guan, S. Dai, W. Wei, and Y. Zhang, “Integrin β1 increases stem cell survival and cardiac function after myocardial infarction,” Frontiers in Pharmacology, vol. 8, p. 135, 2017.
View at: Publisher Site | Google Scholar
X. Li, Y. Sun, S. Huang et al., “Inhibition of AZIN2-sv induces neovascularization and improves prognosis after myocardial infarction by blocking ubiquitin-dependent talin1 degradation and activating the Akt pathway,” EBioMedicine, vol. 39, pp. 69–82, 2019.
View at: Publisher Site | Google Scholar
J. Y. Luo, Y. H. Li, B. B. Fang et al., “NFKB1 gene rs28362491 ins/del variation is associated with higher susceptibility to myocardial infarction in a Chinese Han population,” Scientific Reports, vol. 10, no. 1, 2020.
View at: Publisher Site | Google Scholar
R. Wang, F. Song, S. Li, B. Wu, Y. Gu, and Y. Yuan, “Salvianolic acid A attenuates CCl₄-induced liver fibrosis by regulating the PI3K/AKT/mTOR, Bcl-2/Bax and caspase-3/cleaved caspase-3 signaling pathways,” Drug Design, Development and Therapy, vol. 13, pp. 1889–1900, 2019.
View at: Publisher Site | Google Scholar
L. Jin, C. Chen, L. Huang, L. Bu, L. Zhang, and Q. Yang, “Salvianolic acid A blocks vasculogenic mimicry formation in human non-small cell lung cancer via PI3K/Akt/mTOR signalling,” Clinical and Experimental Pharmacology and Physiology, vol. 48, no. 4, pp. 508–514, 2021.
View at: Publisher Site | Google Scholar
R. Pei, T. Si, Y. Lu, J. X. Zhou, and L. Jiang, “Salvianolic acid A, a novel PI3K/Akt inhibitor, induces cell apoptosis and suppresses tumor growth in acute myeloid leukemia,” Leukemia and Lymphoma, vol. 59, no. 8, pp. 1959–1967, 2018.
View at: Publisher Site | Google Scholar
Q. Chen, T. Xu, D. Li et al., “JNK/PI3K/Akt signaling pathway is involved in myocardial ischemia/reperfusion injury in diabetic rats: effects of salvianolic acid A intervention,” American Journal of Translational Research, vol. 8, no. 6, pp. 2534–2548, 2016.
View at: Google Scholar
T. Ye, R. Chen, Y. Zhou et al., “Salvianolic acid A (Sal A) suppresses malignant progression of glioma and enhances temozolomide (TMZ) sensitivity via repressing transgelin-2 (TAGLN2) mediated phosphatidylinositol-3-kinase (PI3K)/protein kinase B (Akt) pathway,” Bioengineered, vol. 13, no. 5, 2022.
View at: Publisher Site | Google Scholar

Copyright

Copyright © 2022 Qing Huang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

PDF Download Citation

Download other formats

Order printed copies