Literature DB >> 21448603

An ultrasonication-assisted extraction and derivatization protocol for GC/TOFMS-based metabolite profiling.

Yumin Liu1, Tianlu Chen, Yunpin Qiu, Yu Cheng, Yu Cao, Aihua Zhao, Wei Jia.   

Abstract

Conventional chemical derivatization of metabolites in biological specimens is time-consuming, which limits the throughput and efficiency of metabolite profiling using a gas chromatography/time-of-flight mass spectrometry (GC/TOFMS) platform. We report an ultrasonication-assisted protocol which reduces the derivatization time from hours to about 30 min and significantly enhances the derivatization efficiency prior to a GC/TOFMS analysis. The protocol was evaluated using 40 compounds representing different classes of human metabolites, and demonstrated good analytical precision and accuracy. In comparison with the conventional method, the new protocol was able to increase the intensity of most of the identified peaks (71.0%) in the GC/TOFMS chromatograms of human serum samples. The detected compounds with increased intensity include most amino acids, keto-containing organic acids, carbonyl-containing carbohydrates, and unsaturated fatty acids. We applied this protocol in a metabolomic study of human serum samples obtained from 34 patients diagnosed with hypertension and 29 age- and gender-matched healthy subjects. Metabolite markers associated with hypertension, including glucosamine, D-sorbitol, 1-stearoylglycerol, and homocysteine, were identified and validated by statistical methods and use of reference standards. Our work highlights the potential of this novel approach for the large-scale metabolite profiling of samples generated from plant, animal, and clinical and epidemiological studies.

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Year:  2011        PMID: 21448603     DOI: 10.1007/s00216-011-4880-z

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  10 in total

1.  Reconstruction and analysis of correlation networks based on GC-MS metabolomics data for young hypertensive men.

Authors:  Le Wang; Entai Hou; Lijun Wang; Yanjun Wang; Lingjian Yang; Xiaohui Zheng; Guangqi Xie; Qiong Sun; Mingyu Liang; Zhongmin Tian
Journal:  Anal Chim Acta       Date:  2014-11-11       Impact factor: 6.558

2.  Methods of Lipidomic Analysis: Extraction, Derivatization, Separation, and Identification of Lipids.

Authors:  Ya Xie; Zongyuan Wu; Zuojian Qin; Bangfu Wu; Xin Lv; Fang Wei; Hong Chen
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

3.  Genome sequence and population genomics provide insights into chromosomal evolution and phytochemical innovation of Hippophae rhamnoides.

Authors:  Liyang Yu; Songfeng Diao; Guoyun Zhang; Jigao Yu; Tong Zhang; Hongmei Luo; Aiguo Duan; Jinpeng Wang; Caiyun He; Jianguo Zhang
Journal:  Plant Biotechnol J       Date:  2022-04-28       Impact factor: 13.263

4.  A metabolomic study for chronic heart failure patients based on a dried blood spot mass spectrometry approach.

Authors:  Gaowa Zhao; Dong Cheng; Yu Wang; Yalan Cao; Shuting Xiang; Qin Yu
Journal:  RSC Adv       Date:  2020-05-22       Impact factor: 4.036

5.  Classification of osteoarthritis phenotypes by metabolomics analysis.

Authors:  Weidong Zhang; Sergei Likhodii; Yuhua Zhang; Erfan Aref-Eshghi; Patricia E Harper; Edward Randell; Roger Green; Glynn Martin; Andrew Furey; Guang Sun; Proton Rahman; Guangju Zhai
Journal:  BMJ Open       Date:  2014-11-19       Impact factor: 2.692

6.  Transcriptional regulator PrqR plays a negative role in glucose metabolism and oxidative stress acclimation in Synechocystis sp. PCC 6803.

Authors:  Rezaul Islam Khan; Yushu Wang; Shajia Afrin; Bing Wang; Yumin Liu; Xiaoqing Zhang; Lei Chen; Weiwen Zhang; Lin He; Gang Ma
Journal:  Sci Rep       Date:  2016-09-01       Impact factor: 4.379

7.  Metabonomics Study in Mice With Learning and Memory Impairment on the Intervention of Essential Oil Extracted From Cinnamomum camphora Chvar. Borneol.

Authors:  Yin Tang; Xiaofan Lv; Yumin Liu; Donghong Cui; Yani Wu
Journal:  Front Pharmacol       Date:  2022-03-10       Impact factor: 5.810

8.  A Nested Case-Control Study of Association between Metabolome and Hypertension Risk.

Authors:  Yongchen Hao; Ying Wang; Lu Xi; Guoqi Li; Fan Zhao; Yue Qi; Jing Liu; Dong Zhao
Journal:  Biomed Res Int       Date:  2016-03-29       Impact factor: 3.411

9.  Childhood severe acute malnutrition is associated with metabolic changes in adulthood.

Authors:  Debbie S Thompson; Celine Bourdon; Paraskevi Massara; Michael S Boyne; Terrence E Forrester; Gerard Bryan Gonzales; Robert H J Bandsma
Journal:  JCI Insight       Date:  2020-12-17

Review 10.  Defining Blood Plasma and Serum Metabolome by GC-MS.

Authors:  Olga Kiseleva; Ilya Kurbatov; Ekaterina Ilgisonis; Ekaterina Poverennaya
Journal:  Metabolites       Date:  2021-12-24
  10 in total

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