Literature DB >> 29485856

SWATHtoMRM: Development of High-Coverage Targeted Metabolomics Method Using SWATH Technology for Biomarker Discovery.

Haihong Zha1,2, Yuping Cai1,2, Yandong Yin1, Zhuozhong Wang1,3, Kang Li3, Zheng-Jiang Zhu1.   

Abstract

The complexity of metabolome presents a great analytical challenge for quantitative metabolite profiling, and restricts the application of metabolomics in biomarker discovery. Targeted metabolomics using multiple-reaction monitoring (MRM) technique has excellent capability for quantitative analysis, but suffers from the limited metabolite coverage. To address this challenge, we developed a new strategy, namely, SWATHtoMRM, which utilizes the broad coverage of SWATH-MS technology to develop high-coverage targeted metabolomics method. Specifically, SWATH-MS technique was first utilized to untargeted profile one pooled biological sample and to acquire the MS2 spectra for all metabolites. Then, SWATHtoMRM was used to extract the large-scale MRM transitions for targeted analysis with coverage as high as 1000-2000 metabolites. Then, we demonstrated the advantages of SWATHtoMRM method in quantitative analysis such as coverage, reproducibility, sensitivity, and dynamic range. Finally, we applied our SWATHtoMRM approach to discover potential metabolite biomarkers for colorectal cancer (CRC) diagnosis. A high-coverage targeted metabolomics method with 1303 metabolites in one injection was developed to profile colorectal cancer tissues from CRC patients. A total of 20 potential metabolite biomarkers were discovered and validated for CRC diagnosis. In plasma samples from CRC patients, 17 out of 20 potential biomarkers were further validated to be associated with tumor resection, which may have a great potential in assessing the prognosis of CRC patients after tumor resection. Together, the SWATHtoMRM strategy provides a new way to develop high-coverage targeted metabolomics method, and facilitates the application of targeted metabolomics in disease biomarker discovery. The SWATHtoMRM program is freely available on the Internet ( http://www.zhulab.cn/software.php ).

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Year:  2018        PMID: 29485856     DOI: 10.1021/acs.analchem.7b05318

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  22 in total

1.  Metabolomics by UHPLC-MS: benefits provided by complementary use of Q-TOF and QQQ for pathway profiling.

Authors:  Katrin Freiburghaus; Carlo Rodolfo Largiadèr; Christoph Stettler; Georg Martin Fiedler; Lia Bally; Cédric Bovet
Journal:  Metabolomics       Date:  2019-08-28       Impact factor: 4.290

2.  Development of a plasma pseudotargeted metabolomics method based on ultra-high-performance liquid chromatography-mass spectrometry.

Authors:  Fujian Zheng; Xinjie Zhao; Zhongda Zeng; Lichao Wang; Wangjie Lv; Qingqing Wang; Guowang Xu
Journal:  Nat Protoc       Date:  2020-06-24       Impact factor: 13.491

3.  High-resolution MS/MS metabolomics by data-independent acquisition reveals urinary metabolic alteration in experimental colitis.

Authors:  Zhixiang Yan; Ting Li; Bin Wei; Panpan Wang; Jianbo Wan; Yitao Wang; Ru Yan
Journal:  Metabolomics       Date:  2019-04-30       Impact factor: 4.290

4.  Discrimination of Geographical Origin of Agricultural Products From Small-Scale Districts by Widely Targeted Metabolomics With a Case Study on Pinggu Peach.

Authors:  Jie Zhao; An Li; Xinxin Jin; Gang Liang; Ligang Pan
Journal:  Front Nutr       Date:  2022-05-24

5.  Effects of Storage Temperature on Indica-Japonica Hybrid Rice Metabolites, Analyzed Using Liquid Chromatography and Mass Spectrometry.

Authors:  Lin Zhu; Yu Tian; Jiangang Ling; Xue Gong; Jing Sun; Litao Tong
Journal:  Int J Mol Sci       Date:  2022-07-04       Impact factor: 6.208

6.  Quantifying Precision Loss in Targeted Metabolomics Based on Mass Spectrometry and Nonmatching Internal Standards.

Authors:  Arve Ulvik; Adrian McCann; Øivind Midttun; Klaus Meyer; Keith M Godfrey; Per M Ueland
Journal:  Anal Chem       Date:  2021-05-20       Impact factor: 6.986

7.  Developing a SWATH capillary LC-MS/MS method for simultaneous therapeutic drug monitoring and untargeted metabolomics analysis of neonatal plasma.

Authors:  Jingcheng Xiao; Jian Shi; Ruiting Li; Lucy Her; Xinwen Wang; Jiapeng Li; Matthew J Sorensen; Varsha Bhatt-Mehta; Hao-Jie Zhu
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2021-07-27       Impact factor: 3.318

8.  Targeted neurotransmitter metabolomics profiling of oleanolic acid in the treatment of spontaneously hypertensive rats.

Authors:  Ruixue Yu; Wenqing Yang; Dongmei Qi; Lili Gong; Chao Li; Yunlun Li; Haiqiang Jiang
Journal:  RSC Adv       Date:  2019-07-26       Impact factor: 4.036

9.  Tumor Tissue-Specific Biomarkers of Colorectal Cancer by Anatomic Location and Stage.

Authors:  Yuping Cai; Nicholas J W Rattray; Qian Zhang; Varvara Mironova; Alvaro Santos-Neto; Engjel Muca; Ana K Rosen Vollmar; Kuo-Shun Hsu; Zahra Rattray; Justin R Cross; Yawei Zhang; Philip B Paty; Sajid A Khan; Caroline H Johnson
Journal:  Metabolites       Date:  2020-06-19

10.  Effects of Dufulin on Oxidative Stress and Metabolomic Profile of Tubifex.

Authors:  Yile Yu; Yuxin Zhu; Jing Yang; Wentao Zhu; Zhiqiang Zhou; Renke Zhang
Journal:  Metabolites       Date:  2021-06-11
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