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McGranaghan P, Kirwan JA, Garcia-Rivera MA, Pieske B, Edelmann F, Blaschke F, Appunni S, Saxena A, Rubens M, Veledar E, Trippel TD. Lipid Metabolite Biomarkers in Cardiovascular Disease: Discovery and Biomechanism Translation from Human Studies. Metabolites 2021; 11:metabo11090621. [PMID: 34564437 PMCID: PMC8470800 DOI: 10.3390/metabo11090621] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 08/30/2021] [Accepted: 09/06/2021] [Indexed: 12/12/2022] Open
Abstract
Lipids represent a valuable target for metabolomic studies since altered lipid metabolism is known to drive the pathological changes in cardiovascular disease (CVD). Metabolomic technologies give us the ability to measure thousands of metabolites providing us with a metabolic fingerprint of individual patients. Metabolomic studies in humans have supported previous findings into the pathomechanisms of CVD, namely atherosclerosis, apoptosis, inflammation, oxidative stress, and insulin resistance. The most widely studied classes of lipid metabolite biomarkers in CVD are phospholipids, sphingolipids/ceramides, glycolipids, cholesterol esters, fatty acids, and acylcarnitines. Technological advancements have enabled novel strategies to discover individual biomarkers or panels that may aid in the diagnosis and prognosis of CVD, with sphingolipids/ceramides as the most promising class of biomarkers thus far. In this review, application of metabolomic profiling for biomarker discovery to aid in the diagnosis and prognosis of CVD as well as metabolic abnormalities in CVD will be discussed with particular emphasis on lipid metabolites.
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Affiliation(s)
- Peter McGranaghan
- Department of Internal Medicine and Cardiology, Charité Campus Virchow-Klinikum, 13353 Berlin, Germany; (P.M.); (B.P.); (F.E.); (F.B.)
- Baptist Health South Florida, Miami, FL 33143, USA; (A.S.); (M.R.); (E.V.)
| | - Jennifer A. Kirwan
- Metabolomics Platform, Berlin Institute of Health at Charité Universitätsmedizin Berlin, 13353 Berlin, Germany; (J.A.K.); (M.A.G.-R.)
- Max Delbrück Center for Molecular Research, 13125 Berlin, Germany
- School of Veterinary Medicine and Science, University of Nottingham, Leicestershire LE12 5RD, UK
| | - Mariel A. Garcia-Rivera
- Metabolomics Platform, Berlin Institute of Health at Charité Universitätsmedizin Berlin, 13353 Berlin, Germany; (J.A.K.); (M.A.G.-R.)
- Max Delbrück Center for Molecular Research, 13125 Berlin, Germany
| | - Burkert Pieske
- Department of Internal Medicine and Cardiology, Charité Campus Virchow-Klinikum, 13353 Berlin, Germany; (P.M.); (B.P.); (F.E.); (F.B.)
- DZHK (German Centre for Cardiovascular Research), 13353 Berlin, Germany
- Berlin Institute of Health, 13353 Berlin, Germany
- German Heart Center Berlin, Department of Cardiology, 13353 Berlin, Germany
| | - Frank Edelmann
- Department of Internal Medicine and Cardiology, Charité Campus Virchow-Klinikum, 13353 Berlin, Germany; (P.M.); (B.P.); (F.E.); (F.B.)
- DZHK (German Centre for Cardiovascular Research), 13353 Berlin, Germany
- German Heart Center Berlin, Department of Cardiology, 13353 Berlin, Germany
| | - Florian Blaschke
- Department of Internal Medicine and Cardiology, Charité Campus Virchow-Klinikum, 13353 Berlin, Germany; (P.M.); (B.P.); (F.E.); (F.B.)
- DZHK (German Centre for Cardiovascular Research), 13353 Berlin, Germany
| | - Sandeep Appunni
- Department of Biochemistry, Government Medical College, Kozhikode, Kerala 673008, India;
| | - Anshul Saxena
- Baptist Health South Florida, Miami, FL 33143, USA; (A.S.); (M.R.); (E.V.)
| | - Muni Rubens
- Baptist Health South Florida, Miami, FL 33143, USA; (A.S.); (M.R.); (E.V.)
| | - Emir Veledar
- Baptist Health South Florida, Miami, FL 33143, USA; (A.S.); (M.R.); (E.V.)
- Department of Biostatistics, Florida International University, Miami, FL 33199, USA
- Division of Cardiology, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Tobias Daniel Trippel
- Department of Internal Medicine and Cardiology, Charité Campus Virchow-Klinikum, 13353 Berlin, Germany; (P.M.); (B.P.); (F.E.); (F.B.)
- DZHK (German Centre for Cardiovascular Research), 13353 Berlin, Germany
- Correspondence: ; Tel.: +49-30-450-553765
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Kildahl-Andersen G, Gjerlaug-Enger E, Rise F, Haug A, Egelandsdal B. Quantification of Fatty Acids and their Regioisomeric Distribution in Triacylglycerols from Porcine and Bovine Sources Using 13 C NMR Spectroscopy. Lipids 2020; 56:111-122. [PMID: 32875567 DOI: 10.1002/lipd.12277] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Revised: 07/02/2020] [Accepted: 07/31/2020] [Indexed: 11/10/2022]
Abstract
The uptake of specific fatty acids in humans is dependent on their position on the glycerol backbone. There is a great interest in methods that can access this information fast and accurately. By way of high-resolution NMR, we have analyzed TAG extracted from pig and beef tissues and obtained quantitative data for the composition and regioisomeric distribution of all major unsaturated fatty acids usually found in these source materials, using a combination of manual integration and deconvolution of 13 C NMR spectra. In addition, we have developed a method for determining composition and regioisomeric distribution of the two main saturated fatty acids found in pork (16:0, 18:0). The results are discussed in relation to species-specific genetic characteristics of fatty acid and TAG biosynthesis. The developed method could support decisions related to breeding for desired fatty acid profiles, and stimulate further methodology developments using high field NMR.
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Affiliation(s)
- Geir Kildahl-Andersen
- Department of Chemistry, University of Oslo, P.O. Box 1033 Blindern, 0315, Oslo, Norway.,Department of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, 1432, Ås, Norway
| | | | - Frode Rise
- Department of Chemistry, University of Oslo, P.O. Box 1033 Blindern, 0315, Oslo, Norway
| | - Anna Haug
- Department of Animal and Aquacultural Sciences, Norwegian University of Life Sciences, 1432, Ås, Norway
| | - Bjørg Egelandsdal
- Department of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, 1432, Ås, Norway
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Li J, Vosegaard T, Guo Z. Applications of nuclear magnetic resonance in lipid analyses: An emerging powerful tool for lipidomics studies. Prog Lipid Res 2017; 68:37-56. [PMID: 28911967 DOI: 10.1016/j.plipres.2017.09.003] [Citation(s) in RCA: 95] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2017] [Revised: 08/25/2017] [Accepted: 09/11/2017] [Indexed: 02/01/2023]
Abstract
The role of lipids in cell, tissue, and organ physiology is crucial; as many diseases, including cancer, diabetes, neurodegenerative, and infectious diseases, are closely related to absorption and metabolism of lipids. Mass spectrometry (MS) based methods are the most developed powerful tools to study the synthetic pathways and metabolic networks of cellular lipids in biological systems; leading to the birth of an emerging subject lipidomics, which has been extensively reviewed. Nuclear magnetic resonance (NMR), another powerful analytical tool, which allows the visualization of single atoms and molecules, is receiving increasing attention in lipidomics analyses. However, very little work focusing on lipidomic studies using NMR has been critically reviewed. This paper presents a first comprehensive summary of application of 1H, 13C &31P NMR in lipids and lipidomics analyses. The scientific basis, principles and characteristic diagnostic peaks assigned to specific atoms/molecular structures of lipids are presented. Applications of 2D NMR in mapping and monitoring of the components and their changes in complex lipids systems, as well as alteration of lipid profiling over disease development are also reviewed. The applications of NMR lipidomics in diseases diagnosis and food adulteration are exemplified.
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Affiliation(s)
- Jingbo Li
- Department of Engineering, Faculty of Science, Aarhus University, Gustav Wieds Vej 10, 8000 Aarhus C, Denmark.
| | - Thomas Vosegaard
- Danish Center for Ultrahigh-Field NMR Spectroscopy, Interdisciplinary Nanoscience Center and Department of Chemistry, Aarhus University, Gustav Wieds Vej 14, 8000 Aarhus C, Denmark.
| | - Zheng Guo
- Department of Engineering, Faculty of Science, Aarhus University, Gustav Wieds Vej 10, 8000 Aarhus C, Denmark.
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Papaemmanouil C, Tsiafoulis CG, Alivertis D, Tzamaloukas O, Miltiadou D, Tzakos AG, Gerothanassis IP. Selective One-Dimensional Total Correlation Spectroscopy Nuclear Magnetic Resonance Experiments for a Rapid Identification of Minor Components in the Lipid Fraction of Milk and Dairy Products: Toward Spin Chromatography? JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2015; 63:5381-5387. [PMID: 25986319 DOI: 10.1021/acs.jafc.5b01335] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
We report a rapid, direct, and unequivocal spin-chromatographic separation and identification of minor components in the lipid fraction of milk and common dairy products with the use of selective one-dimensional (1D) total correlation spectroscopy (TOCSY) nuclear magnetic resonance (NMR) experiments. The method allows for the complete backbone spin-coupling network to be elucidated even in strongly overlapped regions and in the presence of major components from 4 × 10(2) to 3 × 10(3) stronger NMR signal intensities. The proposed spin-chromatography method does not require any derivatization steps for the lipid fraction, is selective with excellent resolution, is sensitive with quantitation capability, and compares favorably to two-dimensional (2D) TOCSY and gas chromatography-mass spectrometry (GC-MS) methods of analysis. The results of the present study demonstrated that the 1D TOCSY NMR spin-chromatography method can become a procedure of primary interest in food analysis and generally in complex mixture analysis.
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Affiliation(s)
| | | | | | - Ouranios Tzamaloukas
- ⊥Department of Agricultural Sciences, Biotechnology and Food Sciences, Cyprus University of Technology, Post Office Box 50329, Limassol 3603, Cyprus
| | - Despoina Miltiadou
- ⊥Department of Agricultural Sciences, Biotechnology and Food Sciences, Cyprus University of Technology, Post Office Box 50329, Limassol 3603, Cyprus
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