UM  > Institute of Chinese Medical Sciences
Residential Collegefalse
Status已發表Published
High-resolution MS/MS metabolomics by data-independent acquisition reveals urinary metabolic alteration in experimental colitis
Zhixiang Yan1,2; Ting Li1,2; Bin Wei1,2; Panpan Wang1,2; Jianbo Wan1; Yitao Wang1; Ru Yan1,2
2019-04-30
Source PublicationMETABOLOMICS
ISSN1573-3882
Volume15Issue:5Pages:70
Abstract

Introduction

Traditional high-resolution MS1 based untargeted metabolomics suffers from low sensitivity, while low-resolution MS/MS based multiple reaction monitoring increases sensitivity at the cost of metabolite coverage and the mass accuracy.

Objectives

To evaluate and apply the high-resolution MS/MS level untargeted metabolomics.

Methods

SWATH based data-independent acquisition (DIA) was optimized to obtain MS/MS of all precursor ions.

Results

SWATH-MS/MS could rescue MS1 obscured or saturated metabolites and potentially provide diagnostic fragments to differentiate isomers. For SWATH-MS/MS, 4944 out of 21492 (23.0%) and 2289 out of 12831 (17.8%) fragment ion features significantly changed (Fold change > 1.5, P < 0.05) between Normal and experimental acute ulcerative colitis (UC) groups in positive and negative ion mode, respectively. For SWATH-MS1, 1022 out of 4818 (21.2%) and 353 out of 2266 (15.6%) features significantly changed in positive and negative ion mode, respectively. By deciphering the metabolite profiles with high-resolution MS/MS, it allows versatile post-acquisition data mining such as open detection of different sub-metabolome. The method revealed a global urinary metabolic alteration and increased glucuronide and sulfate sub-metabolome in UC. The major limitation of untargeted SWATH-MS/MS is increased interferences derived from wider Q1 isolation window.

Conclusions

SWATH-MS/MS is a versatile metabolomics strategy, merging the coverage of high-resolution untargeted metabolomics and the sensitivity of MS/MS.

KeywordUntargeted Metabolomics Data-independent Acquisition Swath Experimental Colitis
DOI10.1007/s11306-019-1534-1
Indexed BySCIE
Language英語English
WOS Research AreaEndocrinology & Metabolism
WOS SubjectEndocrinology & Metabolism
WOS IDWOS:000466375400002
Scopus ID2-s2.0-85065132107
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionInstitute of Chinese Medical Sciences
Corresponding AuthorRu Yan
Affiliation1.State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Taipa, Macao, China
2.Zhuhai UM Science & Technology Research Institute, Zhuhai 519080, China
First Author AffilicationInstitute of Chinese Medical Sciences
Corresponding Author AffilicationInstitute of Chinese Medical Sciences
Recommended Citation
GB/T 7714
Zhixiang Yan,Ting Li,Bin Wei,et al. High-resolution MS/MS metabolomics by data-independent acquisition reveals urinary metabolic alteration in experimental colitis[J]. METABOLOMICS, 2019, 15(5), 70.
APA Zhixiang Yan., Ting Li., Bin Wei., Panpan Wang., Jianbo Wan., Yitao Wang., & Ru Yan (2019). High-resolution MS/MS metabolomics by data-independent acquisition reveals urinary metabolic alteration in experimental colitis. METABOLOMICS, 15(5), 70.
MLA Zhixiang Yan,et al."High-resolution MS/MS metabolomics by data-independent acquisition reveals urinary metabolic alteration in experimental colitis".METABOLOMICS 15.5(2019):70.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhixiang Yan]'s Articles
[Ting Li]'s Articles
[Bin Wei]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhixiang Yan]'s Articles
[Ting Li]'s Articles
[Bin Wei]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhixiang Yan]'s Articles
[Ting Li]'s Articles
[Bin Wei]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.