Literature DB >> 30943026

Chemical Isotope Labeling Exposome (CIL-EXPOSOME): One High-Throughput Platform for Human Urinary Global Exposome Characterization.

Shenglan Jia1,2,3, Tengfei Xu1,3, Tao Huan4, Maria Chong1, Min Liu1,2, Wenjuan Fang2, Mingliang Fang1,3,5.   

Abstract

Human exposure to hundreds of chemicals, a primary component of the exposome, has been associated with many diseases. Urinary biomarkers of these chemicals are commonly monitored to quantify their exposure. However, because of low concentrations and the great variability in physicochemical properties of exposure biomarkers, exposome research has been limited by low-throughput and costly methods. Here, we developed a sensitive and high-throughput exposome analytical platform (CIL-EXPOSOME) by isotopically labeling urinary biomarkers with common functional groups (phenolic hydroxyl/carboxyl/primary amine). After a simple cleanup, we used mass spectrometry to perform a screening for both targeted and untargeted biomarkers, which was further processed by an automatic computational pipeline method for qualification and quantification. This platform has effectively introduced an isotope tag for the absolute quantification of biomarkers and has improved sensitivity of 2-1184 fold compared to existing methods. For putative identification, we built a database of 818 urinary biomarkers with MS/MS fragmentation information from either standards or in silico predictions. Using this platform, we have found 671 urinary exposure biomarker candidates from a 2 mL pooled urine sample. The exposome data acquisition and analysis time has also been greatly shortened. The results showed that CIL-EXPOSOME is a useful tool for global exposome analysis of complex samples.

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Year:  2019        PMID: 30943026     DOI: 10.1021/acs.est.9b00285

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  7 in total

1.  What about the environment? Leveraging multi-omic datasets to characterize the environment's role in human health.

Authors:  Kristin Passero; Shefali Setia-Verma; Kimberly McAllister; Arjun Manrai; Chirag Patel; Molly Hall
Journal:  Pac Symp Biocomput       Date:  2021

2.  What about the environment? Leveraging multi-omic datasets to characterize the environment's role in human health.

Authors:  Kristin Passero; Shefali Setia-Verma; Kimberly McAllister; Arjun Manrai; Chirag Patel; Molly Hall
Journal:  Pac Symp Biocomput       Date:  2021

Review 3.  Towards Mass Spectrometry-Based Chemical Exposome: Current Approaches, Challenges, and Future Directions.

Authors:  Jingchuan Xue; Yunjia Lai; Chih-Wei Liu; Hongyu Ru
Journal:  Toxics       Date:  2019-08-18

4.  Discovery and Identification of Arsenolipids Using a Precursor-Finder Strategy and Data-Independent Mass Spectrometry.

Authors:  Qingqing Liu; Chengzhi Huang; Wenhui Li; Zhenzheng Fang; X Chris Le
Journal:  Environ Sci Technol       Date:  2021-03-05       Impact factor: 9.028

5.  In-depth profiling of carboxyl compounds in Chinese Baijiu based on chemical derivatization and ultrahigh-performance liquid chromatography coupled to high-resolution mass spectrometry.

Authors:  Xiaoyu Xie; Xin Lu; Xiuqiong Zhang; Fujian Zheng; Di Yu; Chao Li; Sijia Zheng; Bo Chen; Xinyu Liu; Ming Ma; Guowang Xu
Journal:  Food Chem X       Date:  2022-09-07

6.  JPA: Joint Metabolic Feature Extraction Increases the Depth of Chemical Coverage for LC-MS-Based Metabolomics and Exposomics.

Authors:  Jian Guo; Sam Shen; Min Liu; Chenjingyi Wang; Brian Low; Ying Chen; Yaxi Hu; Shipei Xing; Huaxu Yu; Yu Gao; Mingliang Fang; Tao Huan
Journal:  Metabolites       Date:  2022-02-26

7.  [Recent advances in chemical derivatization-based chromatography-mass spectrometry methods for analysis of aldehyde biomarkers].

Authors:  Shuyun Zhu; Xian-En Zhao; Huwei Liu
Journal:  Se Pu       Date:  2021-08
  7 in total

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