| Literature DB >> 31366035 |
Ingrid Tonhajzerova1,2, Lucia B Olexova3,4, Alexander Jurko5, Bart Spronck6,7, Tomas Jurko8, Nikola Sekaninova3,4, Zuzana Visnovcova3,4, Andrea Mestanikova3,4, Erik Kudela9, Michal Mestanik3,4.
Abstract
Cervical cancer is associated with a causative role of human papillomavirus (HPV), which is a highly prevalent infection. Recently, women with a genital HPV infection were found to have increased incidence of cardiovascular diseases (CVD), including severe cardiovascular events such as myocardial infarction and stroke. The pathomechanisms of this relation are not yet fully understood, and may significantly affect the health of a large part of the population. Accelerated atherosclerosis is assumed to play a key role in the pathophysiology of this relationship. To identify high-risk groups of the population, it is necessary to stratify the CVD risk. Current algorithms, as widely used for the estimation of CVD risk, seem to be limited by the individual misclassification of high-risk subjects. However, personalised prediction of cardiovascular events is missing. Regarding HPV-related CVD, identification of novel sensitive biomarkers reflecting early atherosclerotic changes could be of major importance for such personalised cardiovascular risk prediction. Therefore, this review focuses on the pathomechanisms leading to HPV-related cardiovascular diseases with respect to atherosclerosis, and the description of potential novel biomarkers to detect the earliest atherosclerotic changes important for the prevention of CVD in HPV infection and cervical cancer.Entities:
Keywords: arterial stiffness; cardiovascular disease; endothelial function; human papillomavirus
Year: 2019 PMID: 31366035 PMCID: PMC6696433 DOI: 10.3390/ijms20153720
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Figure 1Schematic diagram of atherosclerosis-linked different risk factors and biomarkers HPV—Human Papilloma Virus; SOX-18 protein—SRY-related HMG-box 18, miRNA—microRNA.
Biomarkers for early atherosclerotic changes.
| Biomarker | Selected Major Studies | Significance |
|---|---|---|
|
| ||
| Flow-mediated dilation (FMD) | Gori et al., 2012 (451 subjects) adults [ | Predicting the presence of coronary artery disease in patients before coronary angiography |
| Peripheral arterial tonometry (PAT) | Framingham study (Hamburg et al., 2008 (1957 subjects)) adults [ | PAT is related to metabolic cardiovascular risk factors (smoking, cholesterol, body mass index) |
|
| ||
| Pulse wave velocity (PWV) | Aristizábal-Ocampo et al., 2018 (3160 subjects) adults [ | Increased PWV values related to age and blood pressure |
| Park et al., 2013 (1779 subjects) adult women [ | Increased PWV values in women with atypical cervical cells | |
| Central blood pressure (CBP) | Zuo et al. 2018 (675 subjects) adults [ | CBP improved prediction of CVD compared to peripheral pressure |
| Cardio-ankle vascular index (CAVI) | Wohlfart et al., 2017 (2160 subjects) adults [ | Increased CAVI in smokers and patients with dyslipidaemia |
| Namekata et al., 2011 (32,627 subjects) adults [ | Group with increased cardiovascular disease (hypertension, hyperglycaemia, abnormal lipid metabolism, ischemic and sclerotic changes) showed increased CAVI | |
| Philip et al., 2015 (292 subjects) children [ | Lower CAVI in overweight children suggesting vascular adaptation to obesity |
Ps, systolic blood pressure; Pd, diastolic blood pressure; a,b, CAVI scale constants; PWV, pulse wave velocity, ρ = 1050 blood mass density; Pref, reference pressure.