Literature DB >> 29924596

Establishment of Liquid Chromatography Retention Index Based on Chemical Labeling for Metabolomic Analysis.

Shu-Jian Zheng1, Shi-Jie Liu1, Quan-Fei Zhu1, Ning Guo1, Ya-Lan Wang1, Bi-Feng Yuan1, Yu-Qi Feng1.   

Abstract

Chemical labeling (CL) in combination with liquid chromatography-mass spectrometry (LC-MS) analysis has been demonstrated to be a promising technology in metabolomic analysis. However, identification of chemically labeled metabolites remains to be challenging. Retention time (RT) is one of the most important parameters for the identification of metabolites, but it could vary greatly in LC-MS analysis. In this work, we developed a chemical labeling-based HPLC retention index (CL-HPLC RI) strategy to facilitate the identification of metabolites. In this CL-HPLC RI strategy, a series of 2-dimethylaminoethylamine (DMED)-labeled fatty acids were used as calibrants to establish RIs for DMED-labeled carboxylated compounds and a series of 4-( N, N-dimethylamino)phenyl isothiocyanate (DMAP)-labeled fatty amines were used as calibrants for DMAP-labeled amine compunds. To calculate the RIs, the whole LC chromatogram was divided into 24 time intervals by 23 DMED-labeled fatty acid standards or 15 time intervals by 14 DMAP-labeled fatty amine standards. Then, we established the RIs of 854 detected DMED-labeled carboxylated metabolites and 1057 DMAP-labeled amine metabolites in fecal samples and demonstrated that RIs were highly reproducible under different elution gradients, columns, and instrument systems. Finally, we applied this strategy to the identification of metabolites in human serum. Using RIs, 267 DMED-labeled carboxylated metabolites and 273 DMAP-labeled amine metabolites in human serum matched well with the fecal metabolome database. Taken together, the developed CL-HPLC RI strategy was demonstrated to be a promising method to facilitate the identification of metabolites in metabolomic analysis.

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Year:  2018        PMID: 29924596     DOI: 10.1021/acs.analchem.8b00901

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


  5 in total

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Authors:  Lauren E McMichael; Hannah Heath; Catherine M Johnson; Rob Fanter; Noemi Alarcon; Adilene Quintana-Diaz; Kari Pilolla; Andrew Schaffner; Elissa Jelalian; Rena R Wing; Alex Brito; Suzanne Phelan; Michael R La Frano
Journal:  Metabolomics       Date:  2021-11-27       Impact factor: 4.290

2.  A Perspective and Framework for Developing Sample Type Specific Databases for LC/MS-Based Clinical Metabolomics.

Authors:  Nichole A Reisdorph; Scott Walmsley; Rick Reisdorph
Journal:  Metabolites       Date:  2019-12-21

Review 3.  Defining the Scope of Exposome Studies and Research Needs from a Multidisciplinary Perspective.

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Journal:  Environ Sci Technol Lett       Date:  2021-09-07

4.  N-Alkylpyridinium sulfonates for retention time indexing in reversed-phase-liquid chromatography-mass spectrometry-based metabolomics.

Authors:  Rainer Stoffel; Michael A Quilliam; Normand Hardt; Anders Fridstrom; Michael Witting
Journal:  Anal Bioanal Chem       Date:  2021-12-15       Impact factor: 4.478

5.  Describing the fecal metabolome in cryogenically collected samples from healthy participants.

Authors:  Kajetan Trošt; Linda Ahonen; Tommi Suvitaival; Nina Christiansen; Trine Nielsen; Maja Thiele; Suganya Jacobsen; Aleksander Krag; Peter Rossing; Torben Hansen; Lars Ove Dragsted; Cristina Legido-Quigley
Journal:  Sci Rep       Date:  2020-01-21       Impact factor: 4.379

  5 in total

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