1
|
Prostanoid Metabolites as Biomarkers in Human Disease. Metabolites 2022; 12:metabo12080721. [PMID: 36005592 PMCID: PMC9414732 DOI: 10.3390/metabo12080721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 07/27/2022] [Accepted: 07/27/2022] [Indexed: 11/17/2022] Open
Abstract
Prostaglandins (PGD2, PGE2, PGF2α), prostacyclin (PGI2), and thromboxane A2 (TXA2) together form the prostanoid family of lipid mediators. As autacoids, these five primary prostanoids propagate intercellular signals and are involved in many physiological processes. Furthermore, alterations in their biosynthesis accompany a wide range of pathological conditions, which leads to substantially increased local levels during disease. Primary prostanoids are chemically instable and rapidly metabolized. Their metabolites are more stable, integrate the local production on a systemic level, and their analysis in various biological matrices yields valuable information under different pathological settings. Therefore, prostanoid metabolites may be used as diagnostic, predictive, or prognostic biomarkers in human disease. Although their potential as biomarkers is great and extensive research has identified major prostanoid metabolites that serve as target analytes in different biofluids, the number of studies that correlate prostanoid metabolite levels to disease outcome is still limited. We review the metabolism of primary prostanoids in humans, summarize the levels of prostanoid metabolites in healthy subjects, and highlight existing biomarker studies. Since analysis of prostanoid metabolites is challenging because of ongoing metabolism and limited half-lives, an emphasis of this review lies on the reliable measurement and interpretation of obtained levels.
Collapse
|
2
|
Kirkby NS, Raouf J, Ahmetaj-Shala B, Liu B, Mazi SI, Edin ML, Chambers MG, Korotkova M, Wang X, Wahli W, Zeldin DC, Nüsing R, Zhou Y, Jakobsson PJ, Mitchell JA. Mechanistic definition of the cardiovascular mPGES-1/COX-2/ADMA axis. Cardiovasc Res 2020; 116:1972-1980. [PMID: 31688905 PMCID: PMC7519887 DOI: 10.1093/cvr/cvz290] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2018] [Revised: 05/23/2019] [Accepted: 10/31/2019] [Indexed: 02/05/2023] Open
Abstract
AIMS Cardiovascular side effects caused by non-steroidal anti-inflammatory drugs (NSAIDs), which all inhibit cyclooxygenase (COX)-2, have prevented development of new drugs that target prostaglandins to treat inflammation and cancer. Microsomal prostaglandin E synthase-1 (mPGES-1) inhibitors have efficacy in the NSAID arena but their cardiovascular safety is not known. Our previous work identified asymmetric dimethylarginine (ADMA), an inhibitor of endothelial nitric oxide synthase, as a potential biomarker of cardiovascular toxicity associated with blockade of COX-2. Here, we have used pharmacological tools and genetically modified mice to delineate mPGES-1 and COX-2 in the regulation of ADMA. METHODS AND RESULTS Inhibition of COX-2 but not mPGES-1 deletion resulted in increased plasma ADMA levels. mPGES-1 deletion but not COX-2 inhibition resulted in increased plasma prostacyclin levels. These differences were explained by distinct compartmentalization of COX-2 and mPGES-1 in the kidney. Data from prostanoid synthase/receptor knockout mice showed that the COX-2/ADMA axis is controlled by prostacyclin receptors (IP and PPARβ/δ) and the inhibitory PGE2 receptor EP4, but not other PGE2 receptors. CONCLUSION These data demonstrate that inhibition of mPGES-1 spares the renal COX-2/ADMA pathway and define mechanistically how COX-2 regulates ADMA.
Collapse
Affiliation(s)
- Nicholas S Kirkby
- National Heart & Lung Institute, Imperial College London, Dovehouse Street, London SW3 6LY, UK
| | - Joan Raouf
- Unit of Rheumatology, Department of Medicine, Karolinska Institute, Stockholm, Sweden
| | - Blerina Ahmetaj-Shala
- National Heart & Lung Institute, Imperial College London, Dovehouse Street, London SW3 6LY, UK
| | - Bin Liu
- Cardiovascular Research Centre, Shantou University Medical College, Shantou, China
| | - Sarah I Mazi
- National Heart & Lung Institute, Imperial College London, Dovehouse Street, London SW3 6LY, UK
- King Fahad Cardiac Center, King Saud University, Riyadh, Saudi Arabia
| | - Matthew L Edin
- National Institute for Environmental Health Sciences, Durham, NC, USA
| | | | - Marina Korotkova
- Unit of Rheumatology, Department of Medicine, Karolinska Institute, Stockholm, Sweden
| | - Xiaomeng Wang
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore
- Institute of Molecular and Cell Biology, Agency for Science Technology & Research, Singapore, Singapore
- Department of Cell Biology, Institute of Ophthalmology, University College London, London, UK
- Singapore Eye Research Institute, Singapore, Singapore
| | - Walter Wahli
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore
- Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
| | - Darryl C Zeldin
- National Institute for Environmental Health Sciences, Durham, NC, USA
| | - Rolf Nüsing
- Clinical Pharmacology and Pharmacotherapy Department, Goethe University, Frankfurt, Germany
| | - Yingbi Zhou
- Cardiovascular Research Centre, Shantou University Medical College, Shantou, China
| | - Per-Johan Jakobsson
- Unit of Rheumatology, Department of Medicine, Karolinska Institute, Stockholm, Sweden
- Karolinska University Hospital, Stockholm, Sweden
| | - Jane A Mitchell
- National Heart & Lung Institute, Imperial College London, Dovehouse Street, London SW3 6LY, UK
| |
Collapse
|
3
|
Quantification of eicosanoids and their metabolites in biological matrices: a review. Bioanalysis 2018; 10:2027-2046. [PMID: 30412686 DOI: 10.4155/bio-2018-0173] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
The quantification of eicosanoids and their metabolites in biological samples remain an analytical challenge, even though a number of methodologies/techniques have been developed. The major difficulties encountered are related to the oxidation of eicosanoids and their low quantities in biological matrices. Among the known methodologies, liquid chromatography-mass spectrometry (LC-MS/MS) is the standard method for eicosanoid quantification in biological samples. Recently advances have improved the ability to identify and simultaneous quantitate eicosanoids in biological matrices. The present article reviews the quantitative analysis of eicosanoids in different biological matrices by LC and ultra performance liquid chromatography (UPLC)-MS/MS and discusses important aspects to be considered during the collection, sample preparation and the generation of calibration curves required for eicosanoid analysis.
Collapse
|