Metabolomic profiles of plasma, exhaled breath condensate, and saliva are correlated with potential for air toxics detection.
Metabolomic profiles of plasma, exhaled breath condensate, and saliva are correlated with potential for air toxics detection.
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DOI：
10.1088/1752-7163/aa863c
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发表时间：
2017-12-06
影响因子：
3.8
通讯作者：
Sarnat JA
中科院分区：
文献类型：
--
作者：
Ladva CN;Golan R;Greenwald R;Yu T;Sarnat SE;Flanders WD;Uppal K;Walker DI;Tran V;Liang D;Jones DP;Sarnat JA
高分辨率代谢组学（HRM）的发展提供了新的机会，他们的使用特征暴露于环境空气污染物和空气污染相关的疾病病因。暴露评估研究认为，血液、呼吸和唾液是适合测量空气污染暴露反应的生物基质。目前的研究探讨了这三个矩阵之间的可比性，使用人力资源管理，并探讨其测量移动的源空气毒性的潜力。四名参与者提供了唾液，呼出气浓缩物（EBC），血浆之前和之后的2小时的道路交通暴露。在Thermo Scientific QExactive MS系统上以正电喷雾电离（ESI）模式分析样品，并用C18色谱法分离70，000 FHWM。在R统计平台上使用apLCMS和xMS分析仪处理数据。该分析在血浆、EBC和唾液中分别产生了7，110、6，019和7，747个可重复的特征。在所有特征强度的成对比较中，相关性为中强（R = 0.41 - 0.80），EBC和唾液之间的相关性最强。矩阵对之间的平均强度的关联是积极的和显着的，控制主题和采样时间的影响。在所有三个矩阵中共有的20个特征中，有6个与已知的移动源空气有毒物质列表相匹配。血浆、唾液和EBC具有通过HRM可测量的大致相当的代谢谱。这些矩阵有可能用于识别和测量接触移动的源空气毒物，但需要进一步的，有针对性的研究。
Advances in the development of high-resolution metabolomics (HRM) have provided new opportunities for their use in characterizing exposures to environmental air pollutants and air pollution-related disease etiologies. Exposure assessment studies have considered blood, breath, and saliva as biological matrices suitable for measuring responses to air pollution exposures. The current study examines comparability among these three matrices using HRM and explored their potential for measuring mobile source air toxics. Four participants provided saliva, exhaled breath concentrate (EBC), and plasma before and after a 2-hour road traffic exposure. Samples were analyzed on a Thermo Scientific QExactive MS system in positive electrospray ionization (ESI) mode and resolution of 70,000 FHWM with C18 chromatography. Data were processed using apLCMS and xMSanalyzer on the R statistical platform. The analysis yielded 7,110, 6,019, and 7,747 reproducible features in plasma, EBC, and saliva, respectively. Correlations were moderate-to-strong (R = 0.41 – 0.80) across all pairwise comparisons of feature intensity within profiles, with the strongest between EBC and saliva. The associations of mean intensities between matrix pairs were positive and significant, controlling for subject and sampling time effects. Six out of 20 features shared in all three matrices putatively matched a list of known mobile-source air toxics. Plasma, saliva, and EBC have largely comparable metabolic profiles measurable through HRM. These matrices have the potential to be used in identification and measurement of exposures to mobile source air toxics, though further, targeted study is needed.
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影响因子：
3.7
作者：
Lindsay KL;Hellmuth C;Uhl O;Buss C;Wadhwa PD;Koletzko B;Entringer S
通讯作者：
Entringer S
影响因子：
3.7
作者：
Breier M;Wahl S;Prehn C;Fugmann M;Ferrari U;Weise M;Banning F;Seissler J;Grallert H;Adamski J;Lechner A
通讯作者：
Lechner A
影响因子：
5.4
作者：
Mirabelli, Maria C.;Golan, Rachel;Sarnat, Jeremy A.
通讯作者：
Sarnat, Jeremy A.
影响因子：
4.4
作者：
Do, Kieu Trinh;Kastenmueller, Gabi;Krumsiek, Jan
通讯作者：
Krumsiek, Jan
DOI：
10.1164/rccm.201501-0128oc
发表时间：
2015-12-01
影响因子：
24.7
作者：
Beck, James M.;Schloss, Patrick D.;Young, Vincent B.
通讯作者：
Young, Vincent B.