| Literature DB >> 31277271 |
Suet Yen Chong1,2, Choon Keong Lee3, Chenyuan Huang1,2, Yi Hsuan Ou3, Christopher J Charles1,2, Arthur Mark Richards2,4, Yub Raj Neupane3, Maria Vazquez Pavon3, Olga Zharkova1,2, Giorgia Pastorin3, Jiong-Wei Wang5,6,7.
Abstract
Cardiovascular diseases (CVD) represent the leading cause of morbidity and mortality globally. The emerging role of extracellular vesicles (EVs) in intercellular communication has stimulated renewed interest in exploring the potential application of EVs as tools for diagnosis, prognosis, and therapy in CVD. The ubiquitous nature of EVs in biological fluids presents a technological advantage compared to current diagnostic tools by virtue of their notable stability. EV contents, such as proteins and microRNAs, represent specific signatures of cellular activation or injury. This feature positions EVs as an alternative source of biomarkers. Furthermore, their intrinsic activity and immunomodulatory properties offer EVs unique opportunities to act as therapeutic agents per se or to serve as drug delivery carriers by acting as miniaturized vehicles incorporating bioactive molecules. In this article, we aim to review the recent advances and applications of EV-based biomarkers and therapeutics. In addition, the potential of EVs as a drug delivery and theranostic platform for CVD will also be discussed.Entities:
Keywords: biomarker; cardiovascular disease; drug delivery; extracellular vesicles; theranostics; therapeutic
Year: 2019 PMID: 31277271 PMCID: PMC6650854 DOI: 10.3390/ijms20133272
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Figure 1Schematic diagram illustrating EVs as an alternative source of biomarkers in cardiovascular disease (CVD). Extracellular vesicle (EV) proteins, such as CD14, cystatin C and coagulation-related proteins including Serpin G1 and Serpin F2, have been proposed as novel biomarkers for diagnosis and prognosis of heart failure, vascular disease, and stroke. Conventional CVD risk factors, such as obesity and smoking, have been associated with EV protein contents, including CD14, cystatin C, and procoagulant proteins. Certain EV miRNAs have also been identified as novel diagnostic and prognostic biomarkers for stroke and heart failure. Five EV miRNAs are listed as representatives. EV lipids, however, remain largely unexplored in the diagnosis or prognosis of CVD. CVD, cardiovascular diseases; CS, complement system; C5a, complement factor 5a; pIgR, polygenic immunoglobulin receptor; PS, phosphatidylserine; PE, phosphatidylethanolamine.
Summary of extracellular vesicle contents as diagnostic or prognostic biomarkers in CVD.
| Disease | Sample Size | Source | Methods of Isolation | EVs Characterized | Screening Method | Quantification Method | Analytes Measured | Significant Candidates | Potential Application | Ref. |
|---|---|---|---|---|---|---|---|---|---|---|
| Acute Ischemic Stroke | 50 | Serum | Precipitation | TEM; Western blot | Based on previous reports | RT-qPCR | miR-134 | miR-134 | Diagnosis and prognosis | [ |
| Acute Ischemic Stroke | 50 | Serum | Precipitation | TEM; Western blot | Based on previous reports | RT-qPCR | miR-223 | miR-223 | Diagnosis and prognosis | [ |
| Heart Failure | 31 | Plasma | Precipitation | Not available | Based on previous reports | RT-qPCR | miR-221, miR-15a, miR-122, miR-21, miR-29, miR-30d, miR-133a, miR-425, miR-744 | miR-21, miR-425, miR-744 | Diagnosis, prognosis | [ |
| Acute Heart Failure | 28 | Serum | Precipitation | TEM; Western blot; DLS | Based on previous reports | RT-qPCR | miR-92b-5p, | miR-92b-5p | Diagnosis | [ |
| Acute Myocardial Infarction | 21 | Serum | Precipitation | Western blot | miRNA profiling through TaqMan Human MicroRNA Array | RT-qPCR; | 377 miRNAs | miR-192, miR-194, miR-34a | Prognosis | [ |
| Atrial fibrillation | 40 | Serum | Precipitation | TEM; NTA; Western blot | miRNA microarray | RT-qPCR | miR-107, miR-320d, miR-103a, miR-486, miR-let-7b | miR-107, miR-320d, miR-103a, miR-486, miR-let-7b | Diagnosis, prognosis | [ |
| Hyper-tension | 22 | Serum | Ultra-centrifugation | TEM; Immune-gold labelling | Nanostring nCounter® platform | Nanostring nCounter® platform | 800 miRNAs | miR-199a/b, miR-223–3p | Early diagnosis | [ |
| Obesity | 883 | Plasma | Ultra-centrifugation | TEM; FACS; NTA | miRNA screening through QuantStudio™12 K FlexOpenArray® Platform | miRNA screening through QuantStudio™12 K FlexOpenArray® Platform | 754 miRNAs | miR-let-7c-5p, | Early diagnosis | [ |
| Coronary Artery Disease | 21 | Plasma | Column-based system (Exo-spin Mini Columns) | NTA; TEM; Western blot | Based on previous reports | RT-qPCR | 14 miRNAs | miR-1, miR-24, miR-133a, miR-133b, miR-210 | Diagnosis | [ |
| Acute Coronary Syndrome | 475 | Serum | Precipitation | TEM; FACS; NTA; Western blot | Differential quantitative proteomics and ingenuity pathway analysis | Multiplex immunoassay | polygenic immunoglobulin receptor (pIgR), cystatin C, and complement factor C5a | pIgR, cystatin C | Diagnosis | [ |
| Acute Myocardial Infarction | 25 | Plasma | Ultra-centrifugation | FACS; TEM; DLS | 2D-DIGE; LC-MS/MS; MALDI-TOF coupled with ingenuity pathway analysis | 2D-DIGE; Western blot | 25 ORFs derived from 102 differentially regulated proteins spot identified through 2D-DIGE | A2-macroglobulin isoforms, Fibrinogen, Viperin | Diagnosis and therapeutic targets | [ |
| Vascular Disease | 1060 | Plasma | Precipitation | TEM; FACS; NTA; Western blot | Differential quantitative proteomics and ingenuity pathway analysis | Multiplex immunoassay | Cystatin C, Serpin G1, Serpin F2, and CD14 | Cystatin C, Serpin F2, and CD14 | Prognosis | [ |
| Dyspnea and Heart Failure | 404 | Plasma | Sequential density precipitation | TEM; Western blot | Based on previous study | Multiplex immunoassay | Cystatin C, Serpin G1, Serpin F2, and CD14 | CD14, SerpinG1, and SerpinF2 | Prognosis | [ |
| Vascular Disease and Obesity | 1060 | Plasma | Precipitation | TEM; FACS; NTA; Western blot | Differential quantitative proteomics and ingenuity pathway analysis | Multiplex immunoassay | Cystatin C, Serpin G1, Serpin F2, and CD14 | Cystatin C, CD14 | Prognosis and therapeutic target | [ |
| Obesity | 22 | Plasma | Ultra-centrifugation | TEM; FACS; NTA; Western blot | 2D-DIGE-based proteomic approach | 2D-Western blot | Entire Proteome | C3, C4, Fibrinogen, Adiponectin | Early diagnosis | [ |
Selected examples of liposomal formulation used in the in vivo model for treatment of CVD.
| Therapeutics Encapsulated | In vivo Model | Outcome | Ref. |
|---|---|---|---|
| Simvastatin/Alendronate | Carotid-injured rat model | Suppressed neointimal formation | [ |
| Nitric oxide | Carotid-injured rabbit model | Suppressed neointimal formation | [ |
| Berberine | Myocardial infarction murine model | Improvement of cardiac function | [ |
| VEGF | Myocardial infarction rat model | Improved cardiac functions | [ |
| Cyclopentenone prostaglandin | Hyperlipemic diet atherosclerotic murine model | Vascular injuries recovery | [ |
| Fumagillin | Hyperlipemic diet atherosclerotic murine model | Reduced atherosclerotic lesions | [ |
Figure 2Potential applications of EVs in diagnostic, therapeutic, and drug delivery in CVD. Increasing novel biomarkers identified in EVs have made them as attractive alternative sources of biomarkers for a variety of CVD. On the other hand, EVs also bear intrinsic therapeutic activities and great potential to deliver drugs or therapeutic compounds and therefore, may offer synergistic treatment effects. Endogenous EV biomarkers and/or loaded diagnostic agents may be housed together with therapeutic compounds to create theranostic EVs for CVD treatment. STEMI, ST-elevation myocardial infarction.