Literature DB >> 21881303

Mass spectrometry-based quantitative analysis and biomarker discovery.

Naoto Suzuki1.   

Abstract

Mass spectrometry-based quantitative analysis and biomarker discovery using metabolomics approach represent one of the major platforms in clinical fields including for the prognosis or diagnosis, assessment of severity and response to therapy in a number of clinical disease states as well as therapeutic drug monitoring (TDM). This review first summarizes our mass spectrometry-based research strategy and some results on relationship between cysteinyl leukotriene (cysLT), thromboxane (TX), 12-hydroxyeicosatetraenoic acid (12-HETE) and other metabolites of arachidonic acid and diseases such as atopic dermatitis, rheumatoid arthritis and diabetes mellitus. For the purpose of evaluating the role of these metabolites of arachidonic acid in disease status, we have developed sensitive determination methods with simple solid-phase extraction and applied in clinical settings. In addition to these endogenous compounds, using mass spectrometry, we have developed actually applicable quantitative methods for TDM. Representative example was a method of TDM for sirolimus, one of the immunosuppressant agents for a recipient of organ transplant, which requires rigorous monitoring of blood level. As we recognized great potential in mass spectrometry during these researches, we have become interested in metabolomics as the non-targeted analysis of metabolites. Now, established strategy for the metabolomics investigation applies to samples from cells, animals and humans to separate groups based on altered patterns of metabolites in biological fluids and to identify metabolites as potential biomarkers discriminating groups. We would be honored if our research using mass spectrometry would contribute to provide useful information in the field of medical pharmacy.

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Year:  2011        PMID: 21881303     DOI: 10.1248/yakushi.131.1305

Source DB:  PubMed          Journal:  Yakugaku Zasshi        ISSN: 0031-6903            Impact factor:   0.302


  5 in total

1.  Elevated level of pro-inflammatory eicosanoids and EPC dysfunction in diabetic patients with cardiac ischemia.

Authors:  Yossi Issan; Edith Hochhauser; Austin Guo; Katherine H Gotlinger; Ran Kornowski; Dorit Leshem-Lev; Eli Lev; Eyal Porat; Eitan Snir; Carl I Thompson; Nader G Abraham; Michal Laniado-Schwartzman
Journal:  Prostaglandins Other Lipid Mediat       Date:  2013-01-03       Impact factor: 3.072

2.  Detection of Lipid Mediators of Inflammation in the Human Tear Film.

Authors:  Shyam Panthi; Jianzhong Chen; Landon Wilson; Jason J Nichols
Journal:  Eye Contact Lens       Date:  2019-05       Impact factor: 2.018

3.  Plasma, urine and ligament tissue metabolite profiling reveals potential biomarkers of ankylosing spondylitis using NMR-based metabolic profiles.

Authors:  Wei Wang; Gen-Jin Yang; Ju Zhang; Chen Chen; Zhen-Yu Jia; Jia Li; Wei-Dong Xu
Journal:  Arthritis Res Ther       Date:  2016-10-22       Impact factor: 5.156

4.  Plasma metabolite profiling reveals potential biomarkers of giant cell tumor of bone by using NMR-based metabolic profiles: A cross-sectional study.

Authors:  Wei Wang; Xilin Liu; Juan Wu; Xia Kang; Qingyun Xie; Jun Sheng; Wei Xu; Da Liu; Wei Zheng
Journal:  Medicine (Baltimore)       Date:  2019-10       Impact factor: 1.889

5.  Functional interpretation of metabolomics data as a new method for predicting long-term side effects: treatment of atopic dermatitis in infants.

Authors:  Seul Ji Lee; Sung-il Woo; Soo Hyun Ahn; Dong Kyu Lim; Ji Yeon Hong; Jeong Hill Park; Johan Lim; Mi-kyeong Kim; Sung Won Kwon
Journal:  Sci Rep       Date:  2014-12-10       Impact factor: 4.379

  5 in total

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