de Freitas Maria Camila Pruper, Martins Figueiredo Neto Antônio, Damasceno Nágila Raquel
Department of Nutrition, Faculty of Public Health, University of Sao Paulo, Av. Dr. Arnaldo, 715, 01246-904, Sao Paulo, SP, Brazil.
Institute of Physics, University of Sao Paulo, R. do Matão, 1371, 05508-090, Sao Paulo, SP, Brazil.
Photodiagnosis Photodyn Ther. 2020 Jun;30:101689. doi: 10.1016/j.pdpdt.2020.101689. Epub 2020 Feb 19.
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) and percentile ≥ 75 (High). 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. Conversely, high levels of small LDL were associated with decreased odds of presenting High 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.
评估心血管疾病生物标志物的新方法的开发目前是科学研究的一个课题。本文拓宽了我们对使用Z扫描峰谷距离评估的氧化低密度脂蛋白（LDL）非线性光学响应的认识，并提出了一个截止点。我们研究了峰谷距离与一些心血管危险因素的关联，这些因素与社会人口统计学、临床和人体测量学特征以及血浆生物标志物有关，如脂质和葡萄糖谱、载脂蛋白、脂蛋白亚组分和ω-3脂肪酸。在空腹采集的人体血液样本中，通过超速离心分离出LDL后进行Z扫描分析。峰谷距离是一个直接取决于LDL氧化能力而降低的参数。由于峰谷距离与心血管风险的相关生物标志物有关，我们测试了分类的截止点，使用百分位数<75（低）和百分位数≥75（高）获得了最佳结果。在确定峰谷距离的截止点后测试的回归逻辑模型表明，血浆高密度脂蛋白胆固醇、载脂蛋白A-I、大高密度脂蛋白亚组分和二十二碳六烯酸水平升高与“高”直接相关。相反，小LDL水平高与呈现“高”的几率降低相关。总之，峰谷距离的截止点能够识别LDL的致动脉粥样硬化特征及其与高密度脂蛋白功能的一些参数的关系。
