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Nonlinear optical responses of oxidized low-density lipoprotein: Cutoff point for z-scan peak-valley distance.
- Source :
-
Photodiagnosis and photodynamic therapy [Photodiagnosis Photodyn Ther] 2020 Jun; Vol. 30, pp. 101689. Date of Electronic Publication: 2020 Feb 19. - Publication Year :
- 2020
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Abstract
- The development of new methods to assess biomarkers of cardiovascular disease is currently a subject of scientific research. This article broadens our view of nonlinear optical responses of oxidized low density lipoprotein (LDL) evaluated using the Z-scan peak-valley distance and proposes a cutoff point. We investigated the association of peak-valley distance and some cardiovascular risk factors related with sociodemographic, clinical and anthropometric profiles and plasma biomarkers such as lipid and glucose profile, apolipoprotein, lipoprotein subfractions and omega 3 fatty acids. Z-scan analysis was performed using isolated LDL after ultracentrifugation in human blood samples collected after fasting. Peak-valley distance is a parameter that decreases directly depending on the oxidizability of LDL. As peak-valley distance was associated with relevant biomarkers of cardiovascular risk, we tested cutoff points for categorization and the best results were obtained using percentile < 75 (Low <subscript>z-scan</subscript> ) and percentile ≥ 75 (High <subscript>z-scan</subscript> ). The regression logistic models tested after establishing the cutoff point for peak-valley distance showed that increased levels of plasma high-density lipoprotein cholesterol, apolipoprotein A-I, large high-density lipoprotein subfractions and docosahexaenoic acid are directly associated with High <subscript>Z-scan</subscript> . Conversely, high levels of small LDL were associated with decreased odds of presenting High <subscript>Z-scan.</subscript> In conclusion, the cutoff point for peak-valley distance was able to identify atherogenic characteristics of LDL and its relationship with some parameters of high-density lipoprotein functionality.<br /> (Copyright © 2020 Elsevier B.V. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1873-1597
- Volume :
- 30
- Database :
- MEDLINE
- Journal :
- Photodiagnosis and photodynamic therapy
- Publication Type :
- Academic Journal
- Accession number :
- 32087295
- Full Text :
- https://doi.org/10.1016/j.pdpdt.2020.101689