Literature DB >> 20560663

Integrated ionization approach for RRLC-MS/MS-based metabonomics: finding potential biomarkers for lung cancer.

Zhuoling An1, Yanhua Chen, Ruiping Zhang, Yongmei Song, Jianghao Sun, Jiuming He, Jinfa Bai, Lijia Dong, Qimin Zhan, Zeper Abliz.   

Abstract

An integrated ionization approach of electrospray ionization (ESI), atmospheric pressure chemical ionization (APCI), and atmospheric pressure photoionization (APPI) combining with rapid resolution liquid chromatography mass spectrometry (RRLC-MS) has been developed for performing global metabonomic analysis on complex biological samples. This approach was designed to overcome the low ionization efficiencies of endogenous metabolites due to diverse physicochemical properties as well as ion suppression, and obtain comprehensive metabolite profiles in LC-MS analysis. Ionization capability and applicability were manifested by improved ionization efficiency and enlarged metabolite coverage in analysis on typical urinary metabolite standards and urine samples from healthy volunteers. The method was validated by the limit of detection and precision. When applied to the global metabonomic studies of lung cancer, more comprehensive biomarker candidates were obtained to reflect metabolic traits between healthy volunteers and lung cancer patients, including 74 potential biomarkers in positive ion mode and 59 in negative ion mode. Taking identical potential biomarkers of any two or three ionization methods into account, analysis using ESI-MS in positive (+) and negative (-) ion mode contributed to 70 and 64% of the total potential biomarkers, respectively. The biomarker discovery capability of (+/-) APCI-MS accounted for 45 and 42% of the overall; meanwhile (+/-) APPI-MS amounted for 39 and 54%. These results indicated that potential biomarkers with vital biological information could be missed if only a single ionization method was used. Furthermore, 11 potential biomarkers were identified including amino acids, nucleosides, and a metabolite of indole. They revealed elevated amino acid and nucleoside metabolism as well as protein degradation in lung cancer patients. This proposed approach provided a more comprehensive picture of the metabolic changes and further verified identical biomarkers that were obtained simultaneously using different ionization methods.

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Year:  2010        PMID: 20560663     DOI: 10.1021/pr100265g

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  18 in total

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3.  Progress in the development of volatile exhaled breath signatures of lung cancer.

Authors:  Peter J Mazzone; Xiao-Feng Wang; Sung Lim; James Jett; Humberto Choi; Qi Zhang; Mary Beukemann; Meredith Seeley; Ray Martino; Paul Rhodes
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4.  A HPLC-Q-TOF-MS-based urinary metabolomic approach to identification of potential biomarkers of metabolic syndrome.

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Review 6.  Metabolomics in cancer research and emerging applications in clinical oncology.

Authors:  Daniel R Schmidt; Rutulkumar Patel; David G Kirsch; Caroline A Lewis; Matthew G Vander Heiden; Jason W Locasale
Journal:  CA Cancer J Clin       Date:  2021-05-13       Impact factor: 286.130

7.  Rapid resolution liquid chromatography coupled with quadrupole time-of-flight mass spectrometry-based metabolomics approach to study the effects of jieduquyuziyin prescription on systemic lupus erythematosus.

Authors:  Xinghong Ding; Jinbo Hu; Chengping Wen; Zhishan Ding; Li Yao; Yongsheng Fan
Journal:  PLoS One       Date:  2014-02-05       Impact factor: 3.240

8.  The early diagnosis and monitoring of squamous cell carcinoma via saliva metabolomics.

Authors:  Qihui Wang; Pan Gao; Xiaoyi Wang; Yixiang Duan
Journal:  Sci Rep       Date:  2014-10-30       Impact factor: 4.379

Review 9.  Metabolomic fingerprinting: challenges and opportunities.

Authors:  Alyssa K Kosmides; Kubra Kamisoglu; Steve E Calvano; Siobhan A Corbett; Ioannis P Androulakis
Journal:  Crit Rev Biomed Eng       Date:  2013

10.  Data from identification of diagnostic biomarkers and metabolic pathway shifts of heat-stressed lactating dairy cows.

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Journal:  Data Brief       Date:  2015-05-07
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