Literature DB >> 17550978

Metabolomic and genetic analysis of biomarkers for peroxisome proliferator-activated receptor alpha expression and activation.

Yueying Zhen1, Kristopher W Krausz, Chi Chen, Jeffrey R Idle, Frank J Gonzalez.   

Abstract

Peroxisome proliferator-activated receptor alpha (PPARalpha) is a nuclear receptor with manifold effects on intermediary metabolism. To define a set of urinary biomarkers that could be used to determine the efficacy of PPARalpha agonists, a metabolomic investigation was undertaken in wild-type and Pparalpha-null mice fed for 2 wk either a regular diet or a diet containing the PPARalpha ligand Wy-14,643 ([4-chloro-6-(2,3-xylidino)-2-pyrimidinylthio] acetic acid), and their urine was analyzed by ultra-performance liquid chromatography coupled with time-of-flight mass spectrometry. Principal components analysis of 6393 accurate mass positive ions revealed clustering as a single phenotype of the treated and untreated Pparalpha (-/-) mice plus two additional discrete phenotypes for the treated and untreated Pparalpha (+/+) mice. Biomarkers of PPARalpha activation were identified from their accurate masses and confirmed by tandem mass spectrometry of authentic compounds. Biomarkers were quantitated from raw chromatographic data using appropriate calibration curves. PPARalpha urinary biomarkers highly statistically significantly elevated by Wy-14,643 treatment included 11beta-hydroxy-3,20-dioxopregn-4-en-21-oic acid (>3700-fold), 11beta,20-dihydroxy-3-oxopregn-4-en-21-oic acid (50-fold), nicotinamide (>2-fold), nicotinamide 1-oxide (5-fold), 1-methylnicotinamide (1.5-fold), hippuric acid (2-fold), and 2,8-dihydroxyquinoline-beta-d-glucuronide (3-fold). PPARalpha urinary biomarkers highly statistically significantly attenuated by Wy-14,643 treatment included xanthurenic acid (1.3-fold), hexanoylglycine (20-fold), phenylpropionylglycine (4-fold), and cinnamoylglycine (9-fold). These biomarkers arise from PPARalpha effects on tryptophan, corticosterone, and fatty acid metabolism and on glucuronidation. This study underscores the power of mass spectrometry-based metabolomics combined with genetically modified mice in the definition of monogenic metabolic phenotypes.

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Year:  2007        PMID: 17550978      PMCID: PMC2084472          DOI: 10.1210/me.2007-0150

Source DB:  PubMed          Journal:  Mol Endocrinol        ISSN: 0888-8809


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  39 in total

1.  Metabolomics reveals an essential role for peroxisome proliferator-activated receptor α in bile acid homeostasis.

Authors:  Fei Li; Andrew D Patterson; Kristopher W Krausz; Naoki Tanaka; Frank J Gonzalez
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2.  Kidney tumor biomarkers revealed by simultaneous multiple matrix metabolomics analysis.

Authors:  Sheila Ganti; Sandra L Taylor; Omran Abu Aboud; Joy Yang; Christopher Evans; Michael V Osier; Danny C Alexander; Kyoungmi Kim; Robert H Weiss
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Authors:  Stephanie Gängler; Melanie Waldenberger; Anna Artati; Jerzy Adamski; Jurjen N van Bolhuis; Elin Pettersen Sørgjerd; Jana van Vliet-Ostaptchouk; Konstantinos C Makris
Journal:  Metabolomics       Date:  2019-04-08       Impact factor: 4.290

4.  Metabolomics.

Authors:  Jeffrey R Idle; Frank J Gonzalez
Journal:  Cell Metab       Date:  2007-11       Impact factor: 27.287

5.  UPLC-ESI-TOFMS-based metabolomics and gene expression dynamics inspector self-organizing metabolomic maps as tools for understanding the cellular response to ionizing radiation.

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Journal:  Anal Chem       Date:  2008-01-04       Impact factor: 6.986

Review 6.  Metabolomics: moving to the clinic.

Authors:  Anders Nordström; Rolf Lewensohn
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Review 7.  An Intestinal Microbiota-Farnesoid X Receptor Axis Modulates Metabolic Disease.

Authors:  Frank J Gonzalez; Changtao Jiang; Andrew D Patterson
Journal:  Gastroenterology       Date:  2016-09-14       Impact factor: 22.682

8.  Radiation metabolomics. 3. Biomarker discovery in the urine of gamma-irradiated rats using a simplified metabolomics protocol of gas chromatography-mass spectrometry combined with random forests machine learning algorithm.

Authors:  Christian Lanz; Andrew D Patterson; Josef Slavík; Kristopher W Krausz; Monika Ledermann; Frank J Gonzalez; Jeffrey R Idle
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9.  Metabolomics reveals a novel vitamin E metabolite and attenuated vitamin E metabolism upon PXR activation.

Authors:  Joo-Youn Cho; Dong Wook Kang; Xiaochao Ma; Sung-Hoon Ahn; Kristopher W Krausz; Hans Luecke; Jeffrey R Idle; Frank J Gonzalez
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10.  Urinary metabolomics in Fxr-null mice reveals activated adaptive metabolic pathways upon bile acid challenge.

Authors:  Joo-Youn Cho; Tsutomu Matsubara; Dong Wook Kang; Sung-Hoon Ahn; Kristopher W Krausz; Jeffrey R Idle; Hans Luecke; Frank J Gonzalez
Journal:  J Lipid Res       Date:  2009-11-09       Impact factor: 5.922

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