4.7 Article

Human Urinary Metabolomic Profile of PPARα Induced Fatty Acid β-Oxidation

Journal

JOURNAL OF PROTEOME RESEARCH
Volume 8, Issue 9, Pages 4293-4300

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/pr9004103

Keywords

metabolomics; pharmacometabolomics; PPAR; fenofibrate; random forests

Funding

  1. Czech Ministry of Education [VZ MSM0021620820]
  2. Intramural Research Program of the Center for Cancer Research, National Cancer Institute, National Institutes of Health
  3. National Institute of General Medical Sciences

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Activation of the peroxisome proliferator-activated receptor alpha (PPAR alpha) is associated with increased fatty acid catabolism and is commonly targeted for the treatment of hyperlipidemia. To identify latent, endogenous biomarkers of PPAR alpha activation and hence increased fatty acid beta-oxidation, healthy human volunteers were given fenofibrate orally for 2 weeks and their urine was profiled by UPLC-QTOFMS. Biomarkers identified by the machine learning algorithm random forests included significant depletion by day 14 of both pantothenic acid (>5-fold) and acetylcarnitine (>20-fold), observations that are consistent with known targets of PPAR alpha including pantothenate kinase and genes encoding proteins involved in the transport and synthesis of acylcarnitines. It was also concluded that serum cholesterol (-12.7%), triglycerides (-25.6%), uric acid (-34.7%), together with urinary propylcarnitine (>10-fold), isobutyrylcarnitine (>2.5-fold), (S)-(+)-2-methylbutyrylcarnitine (5-fold), and isovalerylcarnitine (>5-fold) were all reduced by day 14. Specificity of these biomarkers as indicators of PPAR alpha activation was demonstrated using the Ppara-null mouse. Urinary pantothenic acid and acylcarnitines may prove useful indicators of PPAR alpha-induced fatty acid beta-oxidation in humans. This study illustrates the utility of a pharmacometabolomic approach to understand drug effects on lipid metabolism in both human populations and in inbred mouse models.

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