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Cell cycle arrest in peripheral blood mononuclear cells: A non-invasive method for diagnosis of coronary artery disease.
- Source :
-
Process Biochemistry . Sep2019, Vol. 84, p153-160. 8p. - Publication Year :
- 2019
-
Abstract
- Graphical representation of pathological events in coronary artery disease. • Senescence indicators and elements of methylation cycle correlate with Gensini scores. • Cell cycle arrest distinguishes patients with zero Gensini score from ≥1 Gensini score. • Cell cycle arrest can be considered as a non-invasive diagnostic tool to pre-screen patients with suspected CAD, before angiogram. Peripheral blood mononuclear-cells (PBMNC) senescence in relation to coronary-artery-disease (CAD) severity, and factors influencing senescence and severity are limited. Here, we explored the association of PBMNC-senescence with the extent of coronary stenosis and methylation-cycle; and methylation-cycle with severity. We assessed telomerase activity (TA) and cell cycle arrest (CCA) in PBMNC as senescence-indicators; plasma concentrations of analytes (asymmetric-dimethylarginine:ADMA, homocysteine:HCY) and SAM-dependent-methyltransferase activity in PBMNC for methylation-cycle. Based on Gensini scores (GS), 45 participants were assigned to either insignificant CAD (with ≤50% stenosis) or established CAD (with >50% stenosis) group. Using LC-ESI-MS, HTRF-assay, propidium-iodide flow-cytometry and PCR-ELISA approaches, concentrations of analytes, methyltransferase-activity, CCA and TA were assessed. There were significant differences in senescence indicators, methylation-cycle and GS among the groups (P < 0.05). GS has positive correlation (P = 0.0001) with CCA, methyltransferase-activity and analytes concentrations; negative correlation (P = 0.0001) with TA. Additionally, methyltransferase-activity and analytes' concentrations are positively correlated (P = 0.0001) with CCA; negatively correlated (P = 0.0001) with TA. Together, senescence indicators and methylation-cycle elements were altered in patients with or without stenosis. This study shows that PBMNC-senescence signatures can be defined for GS; CCA can be developed as a non-invasive tool to assess CAD severity as CCA distinguishes patients with and without significant coronary artery stenosis. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 13595113
- Volume :
- 84
- Database :
- Academic Search Index
- Journal :
- Process Biochemistry
- Publication Type :
- Academic Journal
- Accession number :
- 137662969
- Full Text :
- https://doi.org/10.1016/j.procbio.2019.05.027