Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Institute for Exposomic Research, Senator Frank R. Lautenberg Environmental Health Sciences Laboratory, Icahn School of Medicine at Mount Sinai, Atran Lab, Floor 3, Room 002, 1428 Madison Avenue, New York, NY, 10029, USA.
Anal Bioanal Chem. 2022 Aug;414(19):5943-5966. doi: 10.1007/s00216-022-04159-4. Epub 2022 Jun 27.
Epidemiological studies often call for analytical methods that use a small biospecimen volume to quantify trace level exposures to environmental chemical mixtures. Currently, as many as 150 polar metabolites of environmental chemicals have been found in urine. Therefore, we developed a multi-class method for quantitation of biomarkers in urine. A single sample preparation followed by three LC injections was optimized in a proof-of-approach for a multi-class method. The assay was validated to quantify 50 biomarkers of exposure in urine, belonging to 7 chemical classes and 16 sub-classes. The classes represent metabolites of 12 personal care and consumer product chemicals (PCPs), 5 polycyclic aromatic hydrocarbons (PAHs), 5 organophosphate flame retardants (OPFRs), 18 pesticides, 5 volatile organic compounds (VOCs), 4 tobacco alkaloids, and 1 drug of abuse. Human urine (0.2 mL) was spiked with isotope-labeled internal standards, enzymatically deconjugated, extracted by solid-phase extraction, and analyzed using high-performance liquid chromatography-tandem mass spectrometry. The methanol eluate from the cleanup was split in half and the first half analyzed for PCPs, PAH, and OPFR on a Betasil C18 column; and pesticides and VOC on a Hypersil Gold AQ column. The second half was analyzed for tobacco smoke metabolites and a drug of abuse on a Synergi Polar RP column. Limits of detection ranged from 0.01 to 1.0 ng/mL of urine, with the majority ≤0.5 ng/mL (42/50). Analytical precision, estimated as relative standard deviation of intra- and inter-batch uncertainty, variabilities, was <20%. Extraction recoveries ranged from 83 to 109%. Results from the optimized multi-class method were qualified in formal international proficiency testing programs. Further method customization options were explored and method expansion was demonstrated by inclusion of up to 101 analytes of endo- and exogenous chemicals. This exposome-scale assay is being used for population studies with savings of assay costs and biospecimens, providing both quantitative results and the discovery of unexpected exposures.
流行病学研究通常需要使用小体积生物样本来定量分析痕量水平的环境化学混合物暴露。目前,尿液中已经发现多达 150 种环境化学物质的极性代谢物。因此,我们开发了一种用于尿液生物标志物定量的多类别方法。在一种多类别方法的方法验证中,优化了一个单一的样本制备,然后进行三次 LC 进样。该测定法经过验证可定量分析尿液中 50 种暴露标志物,属于 7 个化学类别和 16 个子类别。这些类别代表 12 种个人护理和消费化学品(PCP)、5 种多环芳烃(PAH)、5 种有机磷阻燃剂(OPFR)、18 种农药、5 种挥发性有机化合物(VOC)、4 种烟草生物碱和 1 种滥用药物的代谢物。将人尿(0.2mL)与同位素标记的内标物混合,经酶促去共轭,固相萃取提取,用高效液相色谱-串联质谱法分析。净化后的甲醇洗脱液分成两半,前半部分在 Betasil C18 柱上分析 PCP、PAH 和 OPFR;后半部分在 Hypersil Gold AQ 柱上分析农药和 VOC。后半部分在 Synergi Polar RP 柱上分析烟草烟雾代谢物和一种滥用药物。检测限范围为尿液的 0.01 至 1.0ng/mL,其中大多数为≤0.5ng/mL(42/50)。分析精度,以批内和批间不确定性的相对标准偏差来估计,变异性<20%。提取回收率范围为 83%至 109%。优化后的多类别方法的结果在正式的国际能力验证计划中得到了验证。进一步探索了方法定制选项,并通过纳入多达 101 种内源性和外源性化学物质的方法扩展进行了演示。这种暴露组规模的测定法正在用于人群研究,节省了检测成本和生物样本,同时提供定量结果和意外暴露的发现。