Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; The Institute for Climate Change, Environmental Health, and Exposomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA; The Bert Strassburger Metabolic Center, Sheba Medical Center, Tel-Hashomer, Israel.
Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Environ Int. 2024 May;187:108663. doi: 10.1016/j.envint.2024.108663. Epub 2024 Apr 16.
Use of capillary blood devices for exposome research can deepen our understanding of the intricate relationship between environment and health, and open up new avenues for preventive and personalized medicine, particularly for vulnerable populations. While the potential of these whole blood devices to accurately measure chemicals and metabolites has been demonstrated, how untargeted metabolomics data from these samplers can be integrated with previous and ongoing environmental health studies that have used conventional blood collection approaches is not yet clear. Therefore, we performed a comprehensive comparison between relative-quantitative metabolite profiles measured in venous blood collected with dried whole blood microsamplers (DBM), dried whole blood spots (DBS), and plasma from 54 mothers in an ethnically diverse population. We determined that a majority of the 309 chemicals and metabolites showed similar median intensity rank, moderate correlation, and moderate agreement between participant-quantiled intraclass correlation coefficients (ICCs) for pair-wise comparisons among the three biomatrices. In particular, whole blood sample types, DBM and DBS, were in highest agreement across metabolite comparison metrics, followed by metabolites measured in DBM and plasma, and then metabolites measured in DBS and plasma. We provide descriptive characteristics and measurement summaries as a reference database. This includes unique metabolites that were particularly concordant or discordant in pairwise comparisons. Our results demonstrate that the range of metabolites from untargeted metabolomics data collected with DBM, DBS, and plasma provides biologically relevant information for use in independent exposome investigations. However, before meta-analysis with combined datasets are performed, robust statistical approaches that integrate untargeted metabolomics data collected on different blood matrices need to be developed.
使用毛细血管血设备进行暴露组学研究可以加深我们对环境与健康之间复杂关系的理解，并为预防和个性化医学开辟新途径，特别是针对脆弱人群。虽然这些全血设备准确测量化学物质和代谢物的潜力已经得到证明，但如何将这些采样器的非靶向代谢组学数据与之前和正在进行的使用传统血液采集方法的环境健康研究相结合，目前还不清楚。因此，我们在一个种族多样化的人群中，对用干燥全血微采样器（DBM）、干燥全血斑（DBS）和血浆采集的静脉血中相对定量代谢物谱进行了全面比较。我们发现，在 54 名母亲中，309 种化学物质和代谢物中的大多数在中位数强度等级、中等相关性和参与者定量内类相关系数（ICC）之间具有中等一致性。特别是，在代谢物比较指标中，全血样本类型 DBM 和 DBS 之间具有最高的一致性，其次是 DBM 和血浆中测量的代谢物，然后是 DBS 和血浆中测量的代谢物。我们提供了描述性特征和测量摘要作为参考数据库。这包括在成对比较中特别一致或不一致的独特代谢物。我们的研究结果表明，用 DBM、DBS 和血浆采集的非靶向代谢组学数据中的代谢物范围为独立暴露组学研究提供了具有生物学意义的信息。然而，在使用组合数据集进行荟萃分析之前，需要开发能够整合不同血液基质上采集的非靶向代谢组学数据的稳健统计方法。
