| Literature DB >> 33917744 |
Diana Jhoseline Medina-Leyte1,2, Oscar Zepeda-García1,2, Mayra Domínguez-Pérez1, Antonia González-Garrido1, Teresa Villarreal-Molina1, Leonor Jacobo-Albavera1.
Abstract
Coronary artery disease (CAD) and its complications are the leading cause of death worldwide. Inflammatory activation and dysfunction of the endothelium are key events in the development and pathophysiology of atherosclerosis and are associated with an elevated risk of cardiovascular events. There is great interest to further understand the pathophysiologic mechanisms underlying endothelial dysfunction and atherosclerosis progression, and to identify novel biomarkers and therapeutic strategies to prevent endothelial dysfunction, atherosclerosis and to reduce the risk of developing CAD and its complications. The use of liquid biopsies and new molecular biology techniques have allowed the identification of a growing list of molecular and cellular markers of endothelial dysfunction, which have provided insight on the molecular basis of atherosclerosis and are potential biomarkers and therapeutic targets for the prevention and or treatment of atherosclerosis and CAD. This review describes recent information on normal vascular endothelium function, as well as traditional and novel potential biomarkers of endothelial dysfunction and inflammation, and pharmacological and non-pharmacological therapeutic strategies aimed to protect the endothelium or reverse endothelial damage, as a preventive treatment for CAD and related complications.Entities:
Keywords: atherosclerosis; coronary artery disease (CAD); endothelial cells (EC); endothelial dysfunction; endothelium; inflammation; novel biomarkers; therapeutics
Mesh:
Substances:
Year: 2021 PMID: 33917744 PMCID: PMC8068178 DOI: 10.3390/ijms22083850
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Figure 1Structure of the arterial wall. Because arteries are supplying blood to tissues and are exposed to high pressure, their walls are thicker than those of other blood vessels. Arterial walls are composed of three layers: the tunica intima is the innermost layer and is made up of endothelial cells anchored to the basal lamina (connective tissue); the tunica media contains vascular smooth muscle cells and regulates vascular tone; and the tunica adventitia is the outermost and contains nerve endings, perivascular adipose tissue, and connective tissue [27,28,29].
Figure 2Key structures for epithelium permeability. The arterial endothelium is a semipermeable barrier that prevents passage of blood cells and large molecules from circulating blood to subendothelial space. The glycocalyx and junction complexes are the main structures that help to maintain this function. The glycocalyx, covering the luminal surface of endothelium, comprises proteoglycans, glycosaminoglycans and glycoproteins. Proteoglycans are syndecanes 1, 2 and 4, glypican and perlecan; the main glycosaminoglycans are heparan sulfate, chondritin sulfate, and hyaluronic acid; glycoproteins, involve three families of adhesion molecules, selectin family, the integrin family, and the immunoglobulin superfamily, and their expression depends on the surrounding microenvironment. There are three subtypes of junction complexes connecting adjacent EC. Tight junctions are formed by claudins, junction adhesion molecules (JAM), and occludins. Tight junctions bind to zonule occludens-1 (ZO-1), allowing interaction with cytoskeleton components. Second, adherens junctions are formed by nectin, poncin, afadin, and vascular endothelial cadherin (VE-cadherin) complexes. VE-cadherin binds to filamentous actin (F-actin) via intracellular proteins such as pacoglobin, β-catenin, α-catenin, and α-actin. Third, gap junctions consist of two connexons that form an intercellular channel that physically communicates adjacent endothelial cells (EC) and allows passive diffusion of ions and small molecules [30,40].
Figure 3Endothelial inflammation. Endothelial dysfunction is triggered by different cardiovascular risk factors such as hypertension, hyperglycemia, and hyperlipidemia. These events increased production of interleukin 1 beta (IL-1β), tumor necrosis factor alpha (TNF-α), and C reactive protein (CRP). Proinflammatory cytokines bind to their receptors and culminate in the activation of the nuclear transcription factor κB (NF-κB) that stimulate the transcription of selectin-E, intercellular adhesion molecule-1 (ICAM-1) and vascular cell adhesion molecule-1 (VCAM-1). CRP down-regulates endothelial nitric oxide synthase (eNOS) transcription and destabilizes eNOS mRNA, resulting in decreased nitric oxide (NO). Furthermore, the reorganization of actin filaments allows the opening of intercellular junctions through other signaling pathways [63,64].
Recently identified potential biomarkers of inflammation and endothelial dysfunction in coronary artery disease (CAD).
| Biomarker | Model | Implication or Considerations | Study |
|---|---|---|---|
| Adiponectin | Cohort of T1DM patients | ↑Adiponectin serum levels in T1DM patients are proposed as an early marker of subclinical atherosclerosis. | [ |
| ANGPTL8 | Cohort of CAD patients | CAD patients had significantly higher serum ANGPTL8 levels and ANGPTL8 was independently associated with TG and ICAM-1 in CAD patients. | [ |
| CTRP9 | Cohort of patients with CAD and T2DM | ↑expression of CTRP9 in patients with CAD and T2DM. | [ |
| Cyr61 | Cohort of CAD patients | Serum Cyr61 levels were higher in CAD patients than in controls and correlated positively with Gensini score and CRP levels. | [ |
| Endocan | Cohort of patients with isolated CAE | Plasma endocan levels were increased in patients with isolated CAE as compared to controls. | [ |
| Galectin-3 | Cohort of CAD patients | Serum galectin-3 levels were higher in CAD patients than controls and were associated with severity of CAD. | [ |
| Human neutrophil peptides or α-defensin | Cohort of CAD patients, hyperlipidemic patients and controls | Patients with hyperlipidemia and CAD have showed increased α-defensin in blood. α-defensin is proposed as a potential inflammation marker that may predict the risk of CAD. | [ |
| Irisin | Cohort of obese children. | Obese children showed a decreased level of Irisin as compared to lean children. ↓Irisin levels correlated inversely with several markers of inflammation and endothelial dysfunction in obese children. | [ |
| Cohort of children and adolescents with T2DM, MS and controls | T2DM and MS patients showed decreased levels of Irisin as compared to healthy controls. Irisin levels showed a negative correlation with sVCAM-1, sICAM-2 and MCP-1 in the total population of children and adolescents. | ||
| Meta-analysis of 7 case-control studies involving 867 patients of CAD and 700 controls | Circulating irisin concentrations were 18.10 ng/mL lower in patients with CAD than in healthy controls. | ||
| Lp-PLA2 | Cohort of patients with CAD + ASC | Circulating plasma Lp-PLA2 levels were higher CAD+ACS patients than in controls and showed a positive association with CAD risk. | [ |
| NGAL and YKL-40 | Prospective study of T2DM patients. | NGAL and YKL-40 serum levels are increased in T2DM subjects with subclinical CAD and are associated with the risk of future cardiovascular events. | [ |
| Resistin | Cohort of CAD patients. | Resistin and visfatin serum levels were higher in patients with acute myocardial infarction than in patients with stable angina. | [ |
| Cohort of patients with CAE. | Visfatin serum levels were higher in patients with both CAE + CAD and are proposed as an independent marker for severity of coronary ectasia in both isolated CAE and CAD coexisting with CAE groups. | ||
| Renalase | Patients presenting to the emergency room with acute chest pain, with diagnostic workup including PET to identify CMD. | ↑Renalase serum levels were associated with symptomatic CMD in patients presenting with acute chest pain, increased peripheral renalase blood levels are proposed as a biomarker for CMD. | [ |
| Sortilin | Cohort of CAD patients | Sortilin serum levels were higher in CAD patients than in controls and correlated with inflammatory cytokine levels. | [ |
| suPAR | Cohort of patients with non-obstructive CAD. | In patients with non-obstructive CAD, plasma suPAR levels correlated negatively with coronary flow reserve. suPAR levels are proposed as an independent risk predictor of coronary microvascular function. | [ |
| PCSK9 | Cohort of HIV+ patients under retroviral therapy | PCSK9 serum levels were higher in HIV+ than in age and LDL-C level matched HIV-patients and were inversely associated with coronary endothelial function measured by magnetic resonance. | [ |
| Cohort of patients with suspected CAD | Low PCSK9 plasma levels were associated with unfavorable metabolic profile and with diffuse non-obstructive coronary atherosclerosis as determinated by coronary computed tomography angiography. | ||
| Phosphatidylcholine and lysophosphatidylcholine | Cohort of patients with CAD and PAD | Serum of phosphatidylcholine and lysophosphatidylcholine levels were lower in CAD and PAD patients than in controls. | [ |
| lncRNA KCNQ1OT1, HIF1A-AS2 and APOA1-AS | Cohort of patients with CAD | KCNQ1OT1, HIF1A-AS2 and APOA1-AS in patients with CAD. ROC analysis confirmed their suitability as biomarkers of CAD. | [ |
| Circulating lncRNA IFNGAS1 | Cohort of patients with CAD | Increased lncRNA IFNGAS1 plasma levels were associated with CAD risk and severity assessed by coronary angiography. | [ |
| Circulating microRNA-941 | Cohort of patients with ACS. | microRNA-941 plasma levels were higher in patients with ACS and ST-elevation myocardial infarction than in controls. | [ |
| Circulating microRNA-33 | Cohort of patients with CAD. | microRNA-33 expression is higher in CAD patients than controls. | [ |
| Circulating microRNA-92a | Cohort of patients with T2DM + CAD | ↑ Expression of microRNA-92a, was significantly associated with T risk of acute coronary T2DM. miR-92a levels were identified as an independent predictive factor for ACS events in the patients with T2DM. | [ |
| Circulating microRNAs-331, 151-3p | Cohort of patients with STEMI. | MicroRNAs-331 and 151-3p were significantly up-regulated in patients with STEMI as compared to patients with stable angina and controls. These miRNAs are proposed as suitable biomarkers than may be associated with plaque rupture. | [ |
| Serum exosomal microRNA-21, 126 and PTEN. | Cohort of patients with ACS. | Serum levels of exosomal microRNAs-21, 126 and PTEN were higher in patients with ACS than in controls. Exosomal microRNA-126 showed a positive correlation with coronary artery stenosis severity. | [ |
| Circulating microRNA-145 | Cohort of patients with ACS. | ↓ Expression of microRNA-145 in ACS patients as compared to controls. microRNA-145 levels correlated with other endothelial inflammation and damage markers. | [ |
| ACS coronary ligation rat model | microRNA-145 overexpression in an ACS rat model improved endothelial injury and abnormal inflammation, suggesting it may be a therapeutic target. | ||
| Circulating microRNA-22 | Cohort of patients with CSF. | microRNA-22 expression was increased in patients with CSF as compared to those with normal coronary flow. Increased microRNA-22 circulating levels are proposed as a suitable biomarker of CSF. | [ |
| microRNA signature | Cohort of patients with CSF. | Expression levels of miR-1, miR-133, miR-208a, miR-206, miR-17, miR-29, miR-223, miR-326, and 155 in PBMCs were significantly increased in SCF patients as compared to controls. | [ |
| Expression levels of microRNAs: miR-15a, miR-21, miR-25, miR-126, miR-16, and miR-18a were significantly decreased in patients with SCF patients as compared to control group. |
Abbreviations: ↑ (increased), ↓ (decreased), T1DM (type 1 diabetes mellitus), ANGPTL8 (angiopoietin like 8), CAD (coronary artery disease), TG (triglycerides), CTRP9 (C1 q/TNF-related protein 9), T2DM (type 2 diabetes mellitus), Cyr61(cysteine-rich protein 61), CRP (C reactive protein), CAE (coronary artery ectasia), CSX (cardiac syndrome X), MS (metabolic syndrome), sVCAM-1 (soluble vascular cell adhesion molecule-1), sICAM-2 (soluble intercellular adhesion molecule 1), MCP-1 (monocyte chemoattractant protein), Lp-PLA2 (lipoprotein associated phospholipase A2), ACS (acute coronary syndrome), NGAL (neutrophil gelatinase-associated lipocalin), YKL-40 (chitinase-3 like protein 1), CMD (coronary microvascular dysfunction), suPAR (soluble urokinase-type plasminogen activator receptor), PCSK9 (proprotein convertase subtilisin/kexin type 9), HIV (human immunodeficiency virus), LDL-C (low density lipoprotein-cholesterol), PAD (peripheral artery disease), lncRNA (long non-coding RNA), KCNQ1OT1 (KCNQ1 opposite strand/antisense transcript 1), HIF1A-AS2 (HIF1A antisense RNA 2), APOA1-AS (APOA1 antisense RNA), STEMI (ST-segment elevation myocardial infraction), PTEN (phosphatase and tensin homolog), CSF (coronary slow flow).