Ahmad Muhammad Saeed, Kimhofer Torben, Ahmad Sultan, AlAma Mohammed Nabil, Mosli Hala Hisham, Hindawi Salwa Ibrahim, Mook-Kanamori Dennis O, Šebeková Katarína, Damanhouri Zoheir Abdullah, Holmes Elaine
Drug Metabolism Unit, King Fahad Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia.
Biomolecular Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, South Kensington, London, United Kingdom.
PLoS One. 2017 Sep 20;12(9):e0185175. doi: 10.1371/journal.pone.0185175. eCollection 2017.
Skin auto fluorescence (SAF) is used as a proxy for the accumulation of advanced glycation end products (AGEs) and has been proposed to stratify patients into cardiovascular disease (CVD) and diabetes mellitus (DM) risk groups. This study evaluates the effects of seven different ethnicities (Arab, Central-East African, Eastern Mediterranean, European, North African, South Asian and Southeast Asian) and gender on SAF as well as validating SAF assessment as a risk estimation tool for CVD and DM in an Arabian cohort. SAF data from self-reported healthy 2,780 individuals, collated from three independent studies, has been linear modelled using age and gender as a covariate. A cross-study harmonized effect size (Cohens'd) is provided for each ethnicity. Furthermore, new data has been collected from a clinically well-defined patient group of 235 individuals, to evaluate SAF as a clinical tool for DM and CVD-risk estimation in an Arab cohort. In an Arab population, SAF-based CVD and/or DM risk-estimation can be improved by referencing to ethnicity and gender-specific SAF values. Highest SAF values were observed for the North African population, followed by East Mediterranean, Arab, South Asian and European populations. The South Asian population had a slightly steeper slope in SAF values with age compared to other ethnic groups. All ethnic groups except Europeans showed a significant gender effect. When compared with a European group, effect size was highest for Eastern Mediterranean group and lowest for South Asian group. The Central-East African and Southeast Asian ethnicity matched closest to the Arab and Eastern Mediterranean ethnicities, respectively. Ethnic and gender-specific data improves performance in SAF-based CVD and DM risk estimation. The provided harmonized effect size allows a direct comparison of SAF in different ethnicities. For the first time, gender differences in SAF are described for North African and East Mediterranean populations.
皮肤自发荧光(SAF)被用作晚期糖基化终末产物(AGEs)积累的替代指标,并已被提议用于将患者分层到心血管疾病(CVD)和糖尿病(DM)风险组。本研究评估了七个不同种族(阿拉伯、中东非、东地中海、欧洲、北非、南亚和东南亚)和性别对SAF的影响,并在阿拉伯人群队列中验证SAF评估作为CVD和DM风险估计工具的有效性。来自三项独立研究整理的2780名自我报告健康个体的SAF数据,已使用年龄和性别作为协变量进行线性建模。为每个种族提供了跨研究协调效应大小(科恩d值)。此外,还从235名个体的临床明确患者组中收集了新数据,以评估SAF作为阿拉伯人群队列中DM和CVD风险估计的临床工具。在阿拉伯人群中,通过参考种族和性别特异性SAF值,可以改善基于SAF的CVD和/或DM风险估计。观察到北非人群的SAF值最高,其次是东地中海、阿拉伯、南亚和欧洲人群。与其他种族相比,南亚人群的SAF值随年龄增长的斜率略陡。除欧洲人外,所有种族都显示出显著的性别效应。与欧洲组相比,东地中海组的效应大小最高,南亚组最低。中东非和东南亚种族分别与阿拉伯和东地中海种族最接近。种族和性别特异性数据可提高基于SAF的CVD和DM风险估计的性能。提供的协调效应大小允许直接比较不同种族的SAF。首次描述了北非和东地中海人群中SAF的性别差异。