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Ottensmann L, Tabassum R, Ruotsalainen SE, Gerl MJ, Klose C, McCartney DL, Widén E, Simons K, Ripatti S, Vitart V, Hayward C, Pirinen M. Examining the link between 179 lipid species and 7 diseases using genetic predictors. EBioMedicine 2025; 114:105671. [PMID: 40157129 PMCID: PMC11995710 DOI: 10.1016/j.ebiom.2025.105671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2024] [Revised: 03/12/2025] [Accepted: 03/13/2025] [Indexed: 04/01/2025] Open
Abstract
BACKGROUND Genome-wide association studies of lipid species have identified several loci shared with various diseases, however, the relationship between lipid species and disease risk remains poorly understood. Here we investigated whether the plasma levels of lipid species are causally linked to disease risk. METHODS We built genetic predictors of 179 lipid species, measured in 7174 Finnish individuals, by utilising either 11 high-impact genomic loci or genome-wide polygenic scores (PGS). We assessed the impact of the lipid species on seven diseases by performing disease association across FinnGen (n = 500,348), UK Biobank (n = 420,531), and Generation Scotland (n = 20,032). We performed univariable Mendelian randomisation (MR) and multivariable MR (MVMR) analyses to examine whether lipid species impact disease risk independently of standard lipids. FINDINGS PGS explained >4% of the variance for 34 lipid species but variants outside the high-impact loci had only a marginal contribution. Variants within the high-impact loci showed association with all seven diseases. MVMR supported a causal role of ApoB in ischaemic heart disease after accounting for lipid species. Phosphatidylethanolamine-increasing LIPC variants seemed to lower age-related macular degeneration risk independently of HDL-cholesterol. MVMR suggested a protective effect of four lipid species containing arachidonic acid on cholelithiasis risk independently of Total Cholesterol. INTERPRETATION Our study demonstrates how genetic predictors of lipid species can be utilised to gain insights into disease risk. We report potential links between lipid species and age-related macular degeneration and cholelithiasis risk, which can be explored for their utility in disease risk prediction and therapy. FUNDING The funders had no role in the study design, data analyses, interpretation, or writing of this article.
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Affiliation(s)
- Linda Ottensmann
- Institute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland; Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, United Kingdom.
| | - Rubina Tabassum
- Institute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland
| | - Sanni E Ruotsalainen
- Institute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland
| | | | | | - Daniel L McCartney
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, United Kingdom
| | - Elisabeth Widén
- Institute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland
| | | | - Samuli Ripatti
- Institute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland; Department of Public Health, Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland; Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Veronique Vitart
- Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, United Kingdom
| | - Caroline Hayward
- Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, United Kingdom
| | - Matti Pirinen
- Institute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland; Department of Public Health, Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland; Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland.
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2
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Hornemann T. Sphingoid Base Diversity. Atherosclerosis 2025; 401:119091. [PMID: 39824719 DOI: 10.1016/j.atherosclerosis.2024.119091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2024] [Revised: 12/10/2024] [Accepted: 12/11/2024] [Indexed: 01/20/2025]
Abstract
Sphingolipids (SL) are crucial components of cellular membranes and play pivotal roles in various biological processes, including cell growth, differentiation, apoptosis, and stress responses. All SL contain a sphingoid base (SPB) backbone which is the shared and class-defining element. SPBs are heterogeneous in length and structure. This review summarizes our current understanding on minor SPBs and the role of the serine palmitoyltransferase (SPT) in particular of its subunits SPTLC3 and SPTSSA/B in forming a spectrum of structurally and metabolically distinct SPBs. Some minor SPBs, such as 1-deoxysphingolipids (1-deoxySL) are neurotoxic and associated with neurological disorders such as hereditary sensory neuropathy type 1 (HSAN1) and diabetic neuropathy. Furthermore, the review discusses the pathological implications of atypical SPBs in cardiometabolic conditions such as obesity, type 2 diabetes or cardiomyopathy, where the induction of the SPTLC3 subunit alters the SPB profile and contributes to disease progression. Understanding these, often neglected aspects of the sphingolipid metabolism provides potential therapeutic targets for metabolic and neurodegenerative diseases, emphasizing the need for continued research in this area.
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Affiliation(s)
- Thorsten Hornemann
- Institute for Clinical Chemistry, University Hospital and University Zurich, 8091, Zürich, Switzerland.
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3
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Huang Y, Stinson SE, Thodberg M, Holm LA, Thielemann R, Sulek K, Lund MAV, Fonvig CE, Kim M, Trost K, Juel HB, Nielsen T, Rossing P, Thiele M, Krag A, Legido-Quigley C, Holm JC, Hansen T. Genetic factors shaping the plasma lipidome and the relations to cardiometabolic risk in children and adolescents. EBioMedicine 2025; 112:105537. [PMID: 39753034 PMCID: PMC11754075 DOI: 10.1016/j.ebiom.2024.105537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2024] [Revised: 12/04/2024] [Accepted: 12/18/2024] [Indexed: 01/26/2025] Open
Abstract
BACKGROUND Lipid species are emerging as biomarkers for cardiometabolic risk in both adults and children. The genetic regulation of lipid species and their impact on cardiometabolic risk during early life remain unexplored. METHODS Using mass spectrometry-based lipidomics, we measured 227 plasma lipid species in 1149 children and adolescents (44.8% boys) with a median age of 11.2 years. We performed genome-wide association analyses to identify genetic variants influencing lipid species. Colocalisation and Mendelian randomisation (MR) analyses were performed to infer causality between lipid species and cardiometabolic outcomes. FINDINGS We identified 37 genome-wide significant loci for 52 lipid species, nine of which are previously unreported. Colocalisation analyses revealed that seven lipid loci shared genetic variants associated with adult cardiometabolic outcomes. One-sample MR analysis identified positive causal associations between ceramides and liver enzymes, sphingomyelins and hemoglobin A1c (HbA1c), and phosphatidylethanolamines and high-sensitivity C-reactive protein in children and adolescents. Two-sample MR using adult-based summary statistics showed consistent direction of associations and indicated additional causal links, specifically between ceramides and elevated HbA1c levels, and phosphatidylinositols with elevated liver enzymes. INTERPRETATION These findings highlight the potential long-term implications of plasma lipid genetic determinants on cardiometabolic risk. FUNDING Novo Nordisk Foundation, The Innovation Fund Denmark, The Danish Heart Foundation, EU Horizon, and LundbeckFonden.
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Affiliation(s)
- Yun Huang
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Sara Elizabeth Stinson
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Malte Thodberg
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Louise Aas Holm
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark; The Children's Obesity Clinic, Department of Pediatrics, Copenhagen University Hospital Holbæk, Denmark
| | - Roman Thielemann
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | | | - Morten Asp Vonsild Lund
- The Children's Obesity Clinic, Department of Pediatrics, Copenhagen University Hospital Holbæk, Denmark; Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Cilius Esmann Fonvig
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark; The Children's Obesity Clinic, Department of Pediatrics, Copenhagen University Hospital Holbæk, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Min Kim
- Steno Diabetes Center Copenhagen, Denmark
| | - Kajetan Trost
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark; Steno Diabetes Center Copenhagen, Denmark
| | - Helene Bæk Juel
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Trine Nielsen
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark; Medical Department, Zeeland University Hospital, Køge, Denmark
| | - Peter Rossing
- Steno Diabetes Center Copenhagen, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Maja Thiele
- Centre for Liver Research, Department of Gastroenterology and Hepatology, Odense University Hospital, Denmark; Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, Denmark
| | - Aleksander Krag
- Centre for Liver Research, Department of Gastroenterology and Hepatology, Odense University Hospital, Denmark; Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, Denmark
| | - Cristina Legido-Quigley
- Steno Diabetes Center Copenhagen, Denmark; Institute of Pharmaceutical Science, King's College London, United Kingdom
| | - Jens-Christian Holm
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark; The Children's Obesity Clinic, Department of Pediatrics, Copenhagen University Hospital Holbæk, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark.
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4
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Montefusco D, Jamil M, Canals D, Saligrama S, Yue Y, Allegood J, Cowart LA. SPTLC3 regulates plasma membrane sphingolipid composition to facilitate hepatic gluconeogenesis. Cell Rep 2024; 43:115054. [PMID: 39661520 PMCID: PMC12004358 DOI: 10.1016/j.celrep.2024.115054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 10/25/2024] [Accepted: 11/20/2024] [Indexed: 12/13/2024] Open
Abstract
SPTLC3, an inducible subunit of the serine palmitoyltransferase (SPT) complex, causes production of alternative sphingoid bases, including a 16-carbon dihydrosphingosine, whose biological function is only beginning to emerge. High-fat feeding induced SPTLC3 in the liver, prompting us to produce a liver-specific knockout mouse line. Following high-fat feeding, knockout mice showed decreased fasting blood glucose, and knockout primary hepatocytes showed suppressed glucose production, a core function of hepatocytes. Stable isotope tracing revealed suppression of the gluconeogenic pathway, finding that SPTLC3 was required to maintain expression of key gluconeogenic genes via adenylate cyclase/cyclic AMP (cAMP)/cAMP response element binding protein (CREB) signaling. Additionally, by employing a combination of a recently developed lipidomics methodology, exogenous C14/C16 fatty acid treatment, and in situ adenylate cyclase activity, we implicated a functional interaction between sphingomyelin with a d16 backbone and adenylate cyclase at the plasma membrane. This work pinpoints a specific sphingolipid-protein functional interaction with broad implications for understanding sphingolipid signaling and metabolic disease.
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Affiliation(s)
- David Montefusco
- Department of Biochemistry, Virginia Commonwealth University, Richmond, VA 23298, USA.
| | - Maryam Jamil
- Department of Biochemistry, Virginia Commonwealth University, Richmond, VA 23298, USA
| | - Daniel Canals
- Department of Medicine, Stony Brook University, Stony Brook, NY 11794, USA
| | - Siri Saligrama
- Department of Biochemistry, Virginia Commonwealth University, Richmond, VA 23298, USA
| | - Yang Yue
- Department of Biochemistry, Virginia Commonwealth University, Richmond, VA 23298, USA
| | - Jeremy Allegood
- Department of Biochemistry, Virginia Commonwealth University, Richmond, VA 23298, USA
| | - L Ashley Cowart
- Department of Biochemistry, Virginia Commonwealth University, Richmond, VA 23298, USA.
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5
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Torta F, Hoffmann N, Burla B, Alecu I, Arita M, Bamba T, Bennett SAL, Bertrand-Michel J, Brügger B, Cala MP, Camacho-Muñoz D, Checa A, Chen M, Chocholoušková M, Cinel M, Chu-Van E, Colsch B, Coman C, Connell L, Sousa BC, Dickens AM, Fedorova M, Eiríksson FF, Gallart-Ayala H, Ghorasaini M, Giera M, Guan XL, Haid M, Hankemeier T, Harms A, Höring M, Holčapek M, Hornemann T, Hu C, Hülsmeier AJ, Huynh K, Jones CM, Ivanisevic J, Izumi Y, Köfeler HC, Lam SM, Lange M, Lee JC, Liebisch G, Lippa K, Lopez-Clavijo AF, Manzi M, Martinefski MR, Math RGH, Mayor S, Meikle PJ, Monge ME, Moon MH, Muralidharan S, Nicolaou A, Nguyen-Tran T, O'Donnell VB, Orešič M, Ramanathan A, Riols F, Saigusa D, Schock TB, Schwartz-Zimmermann H, Shui G, Singh M, Takahashi M, Thorsteinsdóttir M, Tomiyasu N, Tournadre A, Tsugawa H, Tyrrell VJ, van der Gugten G, Wakelam MO, Wheelock CE, Wolrab D, Xu G, Xu T, Bowden JA, Ekroos K, Ahrends R, Wenk MR. Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards. Nat Commun 2024; 15:8562. [PMID: 39362843 PMCID: PMC11449902 DOI: 10.1038/s41467-024-52087-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Accepted: 08/27/2024] [Indexed: 10/05/2024] Open
Abstract
In this community effort, we compare measurements between 34 laboratories from 19 countries, utilizing mixtures of labelled authentic synthetic standards, to quantify by mass spectrometry four clinically used ceramide species in the NIST (National Institute of Standards and Technology) human blood plasma Standard Reference Material (SRM) 1950, as well as a set of candidate plasma reference materials (RM 8231). Participants either utilized a provided validated method and/or their method of choice. Mean concentration values, and intra- and inter-laboratory coefficients of variation (CV) were calculated using single-point and multi-point calibrations, respectively. These results are the most precise (intra-laboratory CVs ≤ 4.2%) and concordant (inter-laboratory CVs < 14%) community-derived absolute concentration values reported to date for four clinically used ceramides in the commonly analyzed SRM 1950. We demonstrate that calibration using authentic labelled standards dramatically reduces data variability. Furthermore, we show how the use of shared RM can correct systematic quantitative biases and help in harmonizing lipidomics. Collectively, the results from the present study provide a significant knowledge base for translation of lipidomic technologies to future clinical applications that might require the determination of reference intervals (RIs) in various human populations or might need to estimate reference change values (RCV), when analytical variability is a key factor for recall during multiple testing of individuals.
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Affiliation(s)
- Federico Torta
- Singapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore, 117456, Singapore
- Precision Medicine Translational Research Programme and Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119077, Singapore
- Signature Research Program in Cardiovascular and Metabolic Disorders, Duke-National University of Singapore (NUS) Medical School, Singapore, 169857, Singapore
| | - Nils Hoffmann
- Institute for Bio- and Geosciences (IBG-5), Forschungszentrum Jülich GmbH, 52428, Jülich, Germany
- Department of Analytical Chemistry, University of Vienna, Vienna, Austria
| | - Bo Burla
- Singapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore, 117456, Singapore
| | - Irina Alecu
- Neural Regeneration Laboratory, Ottawa Institute of Systems Biology, Ottawa Brain and Mind Research Institute, Department of Biochemistry, Microbiology, and Immunology, and Department of Chemistry, Centre for Catalysis Research and Innovation, University of Ottawa, Ottawa, K1H 8M5, Canada
| | - Makoto Arita
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Graduate School of Medical Life Science, Yokohama City University, Yokohama, Japan
| | - Takeshi Bamba
- Division of Metabolomics Center, Medical Research Center for High Depth Omics, Medical Institute of Bioregulation, Kyushu University, 3‑1‑1, Maidashi, Higashi‑ku, Fukuoka, 812‑8582, Japan
| | - Steffany A L Bennett
- Neural Regeneration Laboratory, Ottawa Institute of Systems Biology, Ottawa Brain and Mind Research Institute, Department of Biochemistry, Microbiology, and Immunology, and Department of Chemistry, Centre for Catalysis Research and Innovation, University of Ottawa, Ottawa, K1H 8M5, Canada
| | | | - Britta Brügger
- Heidelberg University Biochemistry Center (BZH), Im Neuenheimer Feld 328, 69120, Heidelberg, Germany
| | - Mónica P Cala
- Metabolomics Core Facility-MetCore, Universidad de los Andes, Bogotá, 111711, Colombia
| | - Dolores Camacho-Muñoz
- Laboratory for Lipidomics and Lipid Biology, Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, M13 9NT, United Kingdom
| | - Antonio Checa
- Unit of Integrative Metabolomics, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Michael Chen
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Michaela Chocholoušková
- Department of Analytical Chemistry, Faculty of Chemical Technology, University of Pardubice, Studentská 573, 532 10, Pardubice, Czech Republic
| | - Michelle Cinel
- Baker Heart and Diabetes Institute, Melbourne, VIC, 3004, Australia
- Baker Department of Cardiovascular Research, Translation and Implementation, La Trobe University, Bundoora, VIC, 3086, Australia
| | - Emeline Chu-Van
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), MetaboHUB, F-91191, Gif sur Yvette, France
| | - Benoit Colsch
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), MetaboHUB, F-91191, Gif sur Yvette, France
| | - Cristina Coman
- Department of Analytical Chemistry, University of Vienna, Vienna, Austria
| | | | - Bebiana C Sousa
- Babraham Institute, Babraham Research Campus, Cambridge, MA, CB22 3AT, USA
| | - Alex M Dickens
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, 20520, Turku, Finland
- Department of Chemistry, University of Turku, Turku, Finland
| | - Maria Fedorova
- Institute of Bioanalytical Chemistry, Faculty of Chemistry and Mineralogy, University of Leipzig, 04013, Leipzig, Germany
- Center for Biotechnology and Biomedicine, University of Leipzig, 04013, Leipzig, Germany
- Center of Membrane Biochemistry and Lipid Research, Faculty of Medicine Carl Gustav Carus of TU Dresden, 01307, Dresden, Germany
| | - Finnur Freyr Eiríksson
- Faculty of Pharmaceutical Sciences, University of Iceland, Reykjavik, Iceland
- ArcticMass, Reykjavik, Iceland
| | - Hector Gallart-Ayala
- Metabolomics Platform, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Mohan Ghorasaini
- Center for Proteomics and Metabolomics, Leiden University Medical Center, 2333ZA, Leiden, The Netherlands
| | - Martin Giera
- Center for Proteomics and Metabolomics, Leiden University Medical Center, 2333ZA, Leiden, The Netherlands
| | - Xue Li Guan
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 636921, Singapore
| | - Mark Haid
- Metabolomics and Proteomics Core, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, 85764, Germany
| | - Thomas Hankemeier
- Metabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands
| | - Amy Harms
- Metabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands
| | - Marcus Höring
- University Hospital of Regensburg, Institute of Clinical Chemistry and Laboratory Medicine, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
| | - Michal Holčapek
- Department of Analytical Chemistry, Faculty of Chemical Technology, University of Pardubice, Studentská 573, 532 10, Pardubice, Czech Republic
| | - Thorsten Hornemann
- Institute of Clinical Chemistry, University Zurich, 8952, Schlieren, Switzerland
| | - Chunxiu Hu
- State Key Laboratory of Medical Proteomics, CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China
| | - Andreas J Hülsmeier
- Institute of Clinical Chemistry, University Zurich, 8952, Schlieren, Switzerland
| | - Kevin Huynh
- Baker Heart and Diabetes Institute, Melbourne, VIC, 3004, Australia
- Baker Department of Cardiovascular Research, Translation and Implementation, La Trobe University, Bundoora, VIC, 3086, Australia
| | - Christina M Jones
- Chemical Science Division, National Institute of Standards and Technology, Gaithersburg, MD, 20899, USA
| | - Julijana Ivanisevic
- Metabolomics Platform, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Yoshihiro Izumi
- Division of Metabolomics Center, Medical Research Center for High Depth Omics, Medical Institute of Bioregulation, Kyushu University, 3‑1‑1, Maidashi, Higashi‑ku, Fukuoka, 812‑8582, Japan
| | - Harald C Köfeler
- Core Facility Mass Spectrometry, Medical University of Graz, 8010, Graz, Austria
| | - Sin Man Lam
- LipidALL Technologies, Changzhou, 213000, Jiangshu, China
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Mike Lange
- Institute of Bioanalytical Chemistry, Faculty of Chemistry and Mineralogy, University of Leipzig, 04013, Leipzig, Germany
- Center for Biotechnology and Biomedicine, University of Leipzig, 04013, Leipzig, Germany
| | - Jong Cheol Lee
- Department of Chemistry, Yonsei University, Seoul, 03722, South Korea
| | - Gerhard Liebisch
- University Hospital of Regensburg, Institute of Clinical Chemistry and Laboratory Medicine, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
| | - Katrice Lippa
- Chemical Science Division, National Institute of Standards and Technology, Gaithersburg, MD, 20899, USA
| | | | - Malena Manzi
- Centro de Investigaciones en Bionanociencias (CIBION), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2390, C1425FQD, Ciudad de Buenos Aires, Argentina
- Departamento de Fisiología, Biología Molecular y Celular, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Intendente Güiraldes, 2160 C1428EGA, Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Departamento de Desarrollo Analítico y Control de Procesos, Instituto Nacional de Tecnología Industrial, Av. General Paz 5445, B1650WAB, Buenos Aires, Argentina
| | - Manuela R Martinefski
- Centro de Investigaciones en Bionanociencias (CIBION), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2390, C1425FQD, Ciudad de Buenos Aires, Argentina
- Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica, Departamento de Ciencias Químicas, Buenos Aires, Junin 954, Junin, C1113AAD, CABA, Argentina
| | - Raviswamy G H Math
- National Centre for Biological Sciences, Tata Institute of Fundamental Research, Bangalore, Karnataka, 560065, India
| | - Satyajit Mayor
- National Centre for Biological Sciences, Tata Institute of Fundamental Research, Bangalore, Karnataka, 560065, India
| | - Peter J Meikle
- Baker Heart and Diabetes Institute, Melbourne, VIC, 3004, Australia
- Baker Department of Cardiovascular Research, Translation and Implementation, La Trobe University, Bundoora, VIC, 3086, Australia
| | - María Eugenia Monge
- Centro de Investigaciones en Bionanociencias (CIBION), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2390, C1425FQD, Ciudad de Buenos Aires, Argentina
| | - Myeong Hee Moon
- Department of Chemistry, Yonsei University, Seoul, 03722, South Korea
| | - Sneha Muralidharan
- Singapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore, 117456, Singapore
- National Centre for Biological Sciences, Tata Institute of Fundamental Research, Bangalore, Karnataka, 560065, India
| | - Anna Nicolaou
- Laboratory for Lipidomics and Lipid Biology, Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, M13 9NT, United Kingdom
- Lydia Becker Institute of Immunology and Inflammation; Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, M13 9NT, United Kingdom
| | - Thao Nguyen-Tran
- Neural Regeneration Laboratory, Ottawa Institute of Systems Biology, Ottawa Brain and Mind Research Institute, Department of Biochemistry, Microbiology, and Immunology, and Department of Chemistry, Centre for Catalysis Research and Innovation, University of Ottawa, Ottawa, K1H 8M5, Canada
| | - Valerie B O'Donnell
- Systems Immunity Research Institute, School of Medicine, Cardiff University, Heath Park, Cardiff, CF14 4XN, UK
| | - Matej Orešič
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, 20520, Turku, Finland
- School of Medical Sciences, Faculty of Medicine and Health, Örebro University, 702 81, Örebro, Sweden
| | - Arvind Ramanathan
- Institute for Stem Cell Science and Regenerative Medicine, 560065, Bangalore, India
| | - Fabien Riols
- Metabolomics and Proteomics Core, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, 85764, Germany
| | - Daisuke Saigusa
- Laboratory of Biomedical and Analytical Sciences, Faculty of Pharma-Science, Teikyo University, 2-11-1 Kaga, Itabashi-ku, Tokyo, 173-8605, Japan
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan
| | - Tracey B Schock
- Chemical Science Division, National Institute of Standards and Technology, Charleston, SC, 29412, USA
| | - Heidi Schwartz-Zimmermann
- Christian Doppler Laboratory for Innovative Gut Health Concepts of Livestock, Institute of Bioanalytics and Agro-Metabolomics, Department of Agrobiotechnology (IFATulln), University of Natural Resources and Life Sciences, Vienna (BOKU), Konrad-Lorenz-Str. 20, 3430, Tulln, Austria
| | - Guanghou Shui
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Madhulika Singh
- Metabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands
| | - Masatomo Takahashi
- Division of Metabolomics Center, Medical Research Center for High Depth Omics, Medical Institute of Bioregulation, Kyushu University, 3‑1‑1, Maidashi, Higashi‑ku, Fukuoka, 812‑8582, Japan
| | - Margrét Thorsteinsdóttir
- Faculty of Pharmaceutical Sciences, University of Iceland, Reykjavik, Iceland
- ArcticMass, Reykjavik, Iceland
| | - Noriyuki Tomiyasu
- Division of Metabolomics Center, Medical Research Center for High Depth Omics, Medical Institute of Bioregulation, Kyushu University, 3‑1‑1, Maidashi, Higashi‑ku, Fukuoka, 812‑8582, Japan
| | | | - Hiroshi Tsugawa
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Graduate School of Medical Life Science, Yokohama City University, Yokohama, Japan
- RIKEN Center for Sustainable Resource Science, Yokohama, Japan
- Department of Biotechnology and Life Science, Tokyo University of Agriculture and Technology, Tokyo, Japan
| | - Victoria J Tyrrell
- Systems Immunity Research Institute, School of Medicine, Cardiff University, Heath Park, Cardiff, CF14 4XN, UK
| | - Grace van der Gugten
- St. Paul's Hospital, Department of Pathology and Laboratory Medicine, Vancouver, BC, Canada
| | - Michael O Wakelam
- Babraham Institute, Babraham Research Campus, Cambridge, MA, CB22 3AT, USA
| | - Craig E Wheelock
- Unit of Integrative Metabolomics, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Respiratory Medicine and Allergy, Karolinska University Hospital, Stockholm, Sweden
| | - Denise Wolrab
- Department of Analytical Chemistry, Faculty of Chemical Technology, University of Pardubice, Studentská 573, 532 10, Pardubice, Czech Republic
| | - Guowang Xu
- State Key Laboratory of Medical Proteomics, CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China
| | - Tianrun Xu
- State Key Laboratory of Medical Proteomics, CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China
| | - John A Bowden
- Department of Physiological Sciences, College of Veterinary Medicine, University of Florida, Gainesville, FL, 32610, USA
| | - Kim Ekroos
- Lipidomics Consulting Ltd., Espoo, Finland.
| | - Robert Ahrends
- Department of Analytical Chemistry, University of Vienna, Vienna, Austria.
| | - Markus R Wenk
- Singapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore, 117456, Singapore.
- Precision Medicine Translational Research Programme and Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119077, Singapore.
- College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar.
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6
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Ottensmann L, Tabassum R, Ruotsalainen SE, Gerl MJ, Klose C, Widén E, Simons K, Ripatti S, Pirinen M. Genome-wide association analysis of plasma lipidome identifies 495 genetic associations. Nat Commun 2023; 14:6934. [PMID: 37907536 PMCID: PMC10618167 DOI: 10.1038/s41467-023-42532-8] [Citation(s) in RCA: 99] [Impact Index Per Article: 49.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 10/13/2023] [Indexed: 11/02/2023] Open
Abstract
The human plasma lipidome captures risk for cardiometabolic diseases. To discover new lipid-associated variants and understand the link between lipid species and cardiometabolic disorders, we perform univariate and multivariate genome-wide analyses of 179 lipid species in 7174 Finnish individuals. We fine-map the associated loci, prioritize genes, and examine their disease links in 377,277 FinnGen participants. We identify 495 genome-trait associations in 56 genetic loci including 8 novel loci, with a considerable boost provided by the multivariate analysis. For 26 loci, fine-mapping identifies variants with a high causal probability, including 14 coding variants indicating likely causal genes. A phenome-wide analysis across 953 disease endpoints reveals disease associations for 40 lipid loci. For 11 coronary artery disease risk variants, we detect strong associations with lipid species. Our study demonstrates the power of multivariate genetic analysis in correlated lipidomics data and reveals genetic links between diseases and lipid species beyond the standard lipids.
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Affiliation(s)
- Linda Ottensmann
- Institute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland.
| | - Rubina Tabassum
- Institute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland
| | - Sanni E Ruotsalainen
- Institute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland
| | | | | | - Elisabeth Widén
- Institute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland
| | | | - Samuli Ripatti
- Institute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland
- Department of Public Health, Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Matti Pirinen
- Institute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland.
- Department of Public Health, Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
- Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland.
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7
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Tanzo JT, Li VL, Wiggenhorn AL, Moya-Garzon MD, Wei W, Lyu X, Dong W, Tahir UA, Chen ZZ, Cruz DE, Deng S, Shi X, Zheng S, Guo Y, Sims M, Abu-Remaileh M, Wilson JG, Gerszten RE, Long JZ, Benson MD. CYP4F2 is a human-specific determinant of circulating N-acyl amino acid levels. J Biol Chem 2023:104764. [PMID: 37121548 DOI: 10.1016/j.jbc.2023.104764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 04/21/2023] [Accepted: 04/23/2023] [Indexed: 05/02/2023] Open
Abstract
N-acyl amino acids are a large family of circulating lipid metabolites that modulate energy expenditure and fat mass in rodents. However, little is known about the regulation and potential cardiometabolic functions of N-acyl amino acids in humans. Here, we analyze the cardiometabolic phenotype associations and genomic associations of four plasma N-acyl amino acids (N-oleoyl-leucine, N-oleoyl-phenylalanine, N-oleoyl-serine, and N-oleoyl-glycine) in 2,351 individuals from the Jackson Heart Study. We find that plasma levels of specific N-acyl amino acids are associated with cardiometabolic disease endpoints independent of free amino acid plasma levels and in patterns according to the amino acid head group. By integrating whole genome sequencing data with N-acyl amino acid levels, we identify that the genetic determinants of N-acyl amino acid levels also cluster according to amino acid head group. Furthermore, we identify the CYP4F2 locus as a genetic determinant of plasma N-oleoyl-leucine and N-oleoyl-phenylalanine levels in human plasma. In experimental studies, we demonstrate that CYP4F2-mediated hydroxylation of N-oleoyl-leucine and N-oleoyl-phenylalanine results in metabolic diversification and production of many previously unknown lipid metabolites with varying characteristics of the fatty acid tail group, including several that structurally resemble fatty acid hydroxy fatty acids (FAHFAs). These studies provide a structural framework for understanding the regulation and disease-associations of N-acyl amino acids in humans and identify that the diversity of this lipid signaling family can be significantly expanded through CYP4F-mediated ω-hydroxylation.
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Affiliation(s)
- Julia T Tanzo
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA; Stanford ChEM-H, Stanford University, Stanford, CA, USA; Stanford Diabetes Research Center, Stanford University, Stanford, CA, USA
| | - Veronica L Li
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA; Stanford ChEM-H, Stanford University, Stanford, CA, USA; Department of Chemistry, Stanford University, Stanford, CA, USA; Wu Tsai Human Performance Alliance, Stanford University, CA, USA
| | - Amanda L Wiggenhorn
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA; Stanford ChEM-H, Stanford University, Stanford, CA, USA; Department of Chemistry, Stanford University, Stanford, CA, USA
| | - Maria Dolores Moya-Garzon
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA; Stanford ChEM-H, Stanford University, Stanford, CA, USA
| | - Wei Wei
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA; Stanford ChEM-H, Stanford University, Stanford, CA, USA; Department of Biology, Stanford University, Stanford, CA, USA
| | - Xuchao Lyu
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA; Stanford ChEM-H, Stanford University, Stanford, CA, USA; Wu Tsai Human Performance Alliance, Stanford University, CA, USA
| | - Wentao Dong
- Stanford ChEM-H, Stanford University, Stanford, CA, USA; Department of Chemical Engineering, Stanford University, Stanford, CA, USA
| | - Usman A Tahir
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Zsu-Zsu Chen
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Daniel E Cruz
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Shuliang Deng
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Xu Shi
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Shuning Zheng
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Yan Guo
- Univ of Mississippi Medical Center, Jackson, MS
| | - Mario Sims
- Univ of Mississippi Medical Center, Jackson, MS
| | - Monther Abu-Remaileh
- Stanford ChEM-H, Stanford University, Stanford, CA, USA; Department of Chemical Engineering, Stanford University, Stanford, CA, USA
| | - James G Wilson
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Robert E Gerszten
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; Broad Institute of Harvard and MIT, Cambridge, MA
| | - Jonathan Z Long
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA; Stanford ChEM-H, Stanford University, Stanford, CA, USA; Stanford Diabetes Research Center, Stanford University, Stanford, CA, USA; Wu Tsai Human Performance Alliance, Stanford University, CA, USA.
| | - Mark D Benson
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA.
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8
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Tanzo JT, Li VL, Wiggenhorn AL, Moya-Garzon MD, Wei W, Lyu X, Dong W, Tahir UA, Chen ZZ, Cruz DE, Deng S, Shi X, Zheng S, Guo Y, Sims M, Abu-Remaileh M, Wilson JG, Gerszten RE, Long JZ, Benson MD. CYP4F2 is a human-specific determinant of circulating N-acyl amino acid levels. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.09.531581. [PMID: 36945562 PMCID: PMC10028954 DOI: 10.1101/2023.03.09.531581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2023]
Abstract
N-acyl amino acids are a large family of circulating lipid metabolites that modulate energy expenditure and fat mass in rodents. However, little is known about the regulation and potential cardiometabolic functions of N-acyl amino acids in humans. Here, we analyze the cardiometabolic phenotype associations and genetic regulation of four plasma N-fatty acyl amino acids (N-oleoyl-leucine, N-oleoyl-phenylalanine, N-oleoyl-serine, and N-oleoyl-glycine) in 2,351 individuals from the Jackson Heart Study. N-oleoyl-leucine and N-oleoyl-phenylalanine were positively associated with traits related to energy balance, including body mass index, waist circumference, and subcutaneous adipose tissue. In addition, we identify the CYP4F2 locus as a human-specific genetic determinant of plasma N-oleoyl-leucine and N-oleoyl-phenylalanine levels. In vitro, CYP4F2-mediated hydroxylation of N-oleoyl-leucine and N-oleoyl-phenylalanine results in metabolic diversification and production of many previously unknown lipid metabolites with varying characteristics of the fatty acid tail group, including several that structurally resemble fatty acid hydroxy fatty acids (FAHFAs). By contrast, FAAH-regulated N-oleoyl-glycine and N-oleoyl-serine were inversely associated with traits related to glucose and lipid homeostasis. These data uncover a human-specific enzymatic node for the metabolism of a subset of N-fatty acyl amino acids and establish a framework for understanding the cardiometabolic roles of individual N-fatty acyl amino acids in humans.
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9
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Camacho-Muñoz D, Niven J, Kucuk S, Cucchi D, Certo M, Jones SW, Fischer DP, Mauro C, Nicolaou A. Omega-3 polyunsaturated fatty acids reverse the impact of western diets on regulatory T cell responses through averting ceramide-mediated pathways. Biochem Pharmacol 2022; 204:115211. [PMID: 35985403 DOI: 10.1016/j.bcp.2022.115211] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Revised: 08/10/2022] [Accepted: 08/10/2022] [Indexed: 11/02/2022]
Abstract
Western diet (WD), high in sugar and fat, promotes obesity and associated chronic low-grade pro-inflammatory environment, leading to impaired immune function, reprogramming of innate and adaptive immune cells, and development of chronic degenerative diseases, including cardiovascular disease. Increased concentrations of circulating and tissue ceramides contribute to inflammation and cellular dysfunction common in immune metabolic and cardiometabolic disease. Therefore, ceramide-lowering interventions have been considered as strategies to improve adipose tissue health. Here, we report the ability of omega-3 polyunsaturated fatty acids (n-3PUFA) to attenuate inflammatory phenotypes promoted by WD, through ceramide-dependent pathways. Using an animal model, we show that enrichment of WD diet with n-3PUFA, reduced the expression of ceramide synthase 2 (CerS2), and lowered the concentration of long-chain ceramides (C23-C26) in plasma and adipose tissues. N-3PUFA also increased prevalence of the anti-inflammatory CD4+Foxp3+ and CD4+Foxp3+CD25+ Treg subtypes in lymphoid organs. The CerS inhibitor FTY720 mirrored the effect of n-3PUFA. Treatment of animal and human T cells with ceramide C24 in vitro, reduced CD4+Foxp3+ Treg polarisation and IL-10 production, and increased IL-17, while it decreased Erk and Akt phosphorylation downstream of T cell antigen receptors (TCR). These findings suggest that molecular mechanisms mediating the adverse effect of ceramides on regulatory T lymphocytes, progress through reduced TCR signalling. Our findings suggest that nutritional enrichment of WD with fish oil n-3PUFA can partially mitigate its detrimental effects, potentially improving the low-grade inflammation associated with immune metabolic disease. Compared to pharmacological interventions, n-3PUFA offer a simpler approach that can be accommodated as lifestyle choice.
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Affiliation(s)
- Dolores Camacho-Muñoz
- Laboratory for Lipidomics and Lipid Biology, Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PT, UK
| | - Jennifer Niven
- Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham B15 2WB, UK
| | - Salih Kucuk
- Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham B15 2WB, UK
| | - Danilo Cucchi
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK
| | - Michelangelo Certo
- Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham B15 2WB, UK
| | - Simon W Jones
- Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham B15 2WB, UK
| | - Deborah P Fischer
- Laboratory for Lipidomics and Lipid Biology, Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PT, UK
| | - Claudio Mauro
- Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham B15 2WB, UK; William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK.
| | - Anna Nicolaou
- Laboratory for Lipidomics and Lipid Biology, Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PT, UK; Lydia Becker Institute of Immunology and Inflammation, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9NT, UK.
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10
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Chienwichai P, Nogrado K, Tipthara P, Tarning J, Limpanont Y, Chusongsang P, Chusongsang Y, Tanasarnprasert K, Adisakwattana P, Reamtong O. Untargeted serum metabolomic profiling for early detection of Schistosoma mekongi infection in mouse model. Front Cell Infect Microbiol 2022; 12:910177. [PMID: 36061860 PMCID: PMC9433908 DOI: 10.3389/fcimb.2022.910177] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 07/29/2022] [Indexed: 11/13/2022] Open
Abstract
Mekong schistosomiasis is a parasitic disease caused by blood flukes in the Lao People’s Democratic Republic and in Cambodia. The standard method for diagnosis of schistosomiasis is detection of parasite eggs from patient samples. However, this method is not sufficient to detect asymptomatic patients, low egg numbers, or early infection. Therefore, diagnostic methods with higher sensitivity at the early stage of the disease are needed to fill this gap. The aim of this study was to identify potential biomarkers of early schistosomiasis using an untargeted metabolomics approach. Serum of uninfected and S. mekongi-infected mice was collected at 2, 4, and 8 weeks post-infection. Samples were extracted for metabolites and analyzed with a liquid chromatography-tandem mass spectrometer. Metabolites were annotated with the MS-DIAL platform and analyzed with Metaboanalyst bioinformatic tools. Multivariate analysis distinguished between metabolites from the different experimental conditions. Biomarker screening was performed using three methods: correlation coefficient analysis; feature important detection with a random forest algorithm; and receiver operating characteristic (ROC) curve analysis. Three compounds were identified as potential biomarkers at the early stage of the disease: heptadecanoyl ethanolamide; picrotin; and theophylline. The levels of these three compounds changed significantly during early-stage infection, and therefore these molecules may be promising schistosomiasis markers. These findings may help to improve early diagnosis of schistosomiasis, thus reducing the burden on patients and limiting spread of the disease in endemic areas.
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Affiliation(s)
- Peerut Chienwichai
- Princess Srisavangavadhana College of Medicine, Chulabhorn Royal Academy, Bangkok, Thailand
| | - Kathyleen Nogrado
- Department of Molecular Tropical Medicine and Genetics, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Phornpimon Tipthara
- Mahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Joel Tarning
- Mahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
- Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom
| | - Yanin Limpanont
- Department of Social and Environmental Medicine, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Phiraphol Chusongsang
- Department of Social and Environmental Medicine, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Yupa Chusongsang
- Department of Social and Environmental Medicine, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Kanthi Tanasarnprasert
- Department of Social and Environmental Medicine, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Poom Adisakwattana
- Department of Helminthology, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Onrapak Reamtong
- Department of Molecular Tropical Medicine and Genetics, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
- *Correspondence: Onrapak Reamtong,
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11
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Gille B, Galuska CE, Fuchs B, Peleg S. Recent Advances in Studying Age-Associated Lipids Alterations and Dietary Interventions in Mammals. FRONTIERS IN AGING 2022; 2:773795. [PMID: 35822042 PMCID: PMC9261446 DOI: 10.3389/fragi.2021.773795] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 10/28/2021] [Indexed: 11/16/2022]
Abstract
Lipids are involved in a broad spectrum of canonical biological functions, from energy supply and storage by triacylglycerols to membrane formation by sphingolipids, phospholipids and glycolipids. Because of this wide range of functions, there is an overlap between age-associated processes and lipid pathways. Lipidome analysis revealed age-related changes in the lipid composition of various tissues in mice and humans, which were also influenced by diet and gender. Some changes in the lipid profile can be linked to the onset of age-related neurodegenerative diseases like Alzheimer’s disease. Furthermore, the excessive accumulation of lipid storage organelles, lipid droplets, has significant implications for the development of inflammaging and non-communicable age-related diseases. Dietary interventions such as caloric restriction, time-restrictive eating, and lipid supplementation have been shown to improve pertinent health metrics or even extend life span and thus modulate aging processes.
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Affiliation(s)
- Benedikt Gille
- Research Group Epigenetics, Metabolism and Longevity, Research Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
| | - Christina E Galuska
- Core Facility Metabolomics, Research Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
| | - Beate Fuchs
- Core Facility Metabolomics, Research Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
| | - Shahaf Peleg
- Research Group Epigenetics, Metabolism and Longevity, Research Institute for Farm Animal Biology (FBN), Dummerstorf, Germany.,Institute of Neuroregeneration and Neurorehabilitation, Qingdao University, Qingdao, China
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12
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McGurk KA, Farrell L, Kendall AC, Keavney BD, Nicolaou A. Genetic analyses of circulating PUFA-derived mediators identifies heritable dihydroxyeicosatrienoic acid species. Prostaglandins Other Lipid Mediat 2022; 160:106638. [PMID: 35472599 DOI: 10.1016/j.prostaglandins.2022.106638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 03/30/2022] [Accepted: 04/20/2022] [Indexed: 10/18/2022]
Abstract
Estimates of heritability are the first step in identifying a trait with substantial variation due to genetic factors. Large-scale genetic analyses can identify the DNA variants that influence the levels of circulating lipid species and the statistical technique Mendelian randomisation can use these DNA variants to address potential causality of these lipids in disease. We estimated the heritability of plasma eicosanoids, octadecanoids and docosanoids to identify those lipid species with substantial heritability. We analysed plasma lipid mediators in 31 White British families (196 participants) ascertained for high blood pressure and deeply clinically and biochemically phenotyped over a 25-year period. We found that the dihydroxyeicosatrienoic acid (DHET) species, 11,12-DHET and 14,15-DHET, products of arachidonic acid metabolism by cytochrome P450 (CYP) monooxygenase and soluble epoxide hydrolase (sEH), exhibited substantial heritability (h2 = 33%-37%; Padj<0.05). Identification of these two heritable bioactive lipid species allows for future large-scale, targeted, lipidomics-genomics analyses to address causality in cardiovascular and other diseases.
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Affiliation(s)
- Kathryn A McGurk
- Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK; Laboratory for Lipidomics and Lipid Research, Division of Pharmacy and Optometry, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Laura Farrell
- Laboratory for Lipidomics and Lipid Research, Division of Pharmacy and Optometry, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Alexandra C Kendall
- Laboratory for Lipidomics and Lipid Research, Division of Pharmacy and Optometry, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Bernard D Keavney
- Manchester Heart Centre, Manchester University NHS Foundation Trust, UK
| | - Anna Nicolaou
- Laboratory for Lipidomics and Lipid Research, Division of Pharmacy and Optometry, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
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13
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Lone MA, Bourquin F, Hornemann T. Serine Palmitoyltransferase Subunit 3 and Metabolic Diseases. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2022; 1372:47-56. [DOI: 10.1007/978-981-19-0394-6_4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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14
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Camacho-Muñoz D, Kiezel-Tsugunova M, Kiss O, Uddin M, Sundén M, Ryaboshapkina M, Lind L, Oscarsson J, Nicolaou A. Omega-3 carboxylic acids and fenofibrate differentially alter plasma lipid mediators in patients with non-alcoholic fatty liver disease. FASEB J 2021; 35:e21976. [PMID: 34618982 DOI: 10.1096/fj.202100380rrr] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 09/17/2021] [Accepted: 09/21/2021] [Indexed: 12/23/2022]
Abstract
Fibrates and omega-3 polyunsaturated acids are used for the treatment of hypertriglyceridemia but have not demonstrated consistent effects on cardiovascular (CV) risk. In this study, we investigate how these two pharmacological agents influence plasma levels of bioactive lipid mediators, aiming to explore their efficacy beyond that of lipid-lowering agents. Plasma from overweight patients with non-alcoholic fatty liver disease (NAFLD) and hypertriglyceridemia, participating in a randomized placebo-controlled study investigating the effects of 12 weeks treatment with fenofibrate or omega-3 free carboxylic acids (OM-3CA) (200 mg or 4 g per day, respectively), were analyzed for eicosanoids and related PUFA species, N-acylethanolamines (NAE) and ceramides. OM-3CA reduced plasma concentrations of proinflammatory PGE2 , as well as PGE1 , PGD1 and thromboxane B2 but increased prostacyclin, and eicosapentaenoic acid- and docosahexaenoic acid-derived lipids of lipoxygenase and cytochrome P450 monooxygenase (CYP) (e.g., 17-HDHA, 18-HEPE, 19,20-DiHDPA). Fenofibrate reduced plasma concentrations of vasoactive CYP-derived eicosanoids (DHETs). Although OM-3CA increased plasma levels of the NAE docosahexaenoyl ethanolamine and docosapentaenoyl ethanolamine, and fenofibrate increased palmitoleoyl ethanolamine, the effect of both treatments may have been masked by the placebo (olive oil). Fenofibrate was more efficacious than OM-3CA in significantly reducing plasma ceramides, pro-inflammatory lipids associated with CV disease risk. Neither treatment affected putative lipid species associated with NAFLD. Our results show that OM-3CA and fenofibrate differentially modulate the plasma mediator lipidome, with OM-3CA promoting the formation of lipid mediators with potential effects on chronic inflammation, while fenofibrate mainly reducing ceramides. These findings suggest that both treatments could ameliorate chronic inflammation with possible impact on disease outcomes, independent of triglyceride reduction.
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Affiliation(s)
- Dolores Camacho-Muñoz
- Laboratory for Lipidomics and Lipid Biology, Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Magdalena Kiezel-Tsugunova
- Laboratory for Lipidomics and Lipid Biology, Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Orsolya Kiss
- Laboratory for Lipidomics and Lipid Biology, Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Mohib Uddin
- AstraZeneca Gothenburg, Biopharmaceuticals R&D, Mӧlndal, Sweden
| | - Mattias Sundén
- Department of Economics, University of Gothenburg, Gothenburg, Sweden
| | | | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Jan Oscarsson
- AstraZeneca Gothenburg, Biopharmaceuticals R&D, Mӧlndal, Sweden
| | - Anna Nicolaou
- Laboratory for Lipidomics and Lipid Biology, Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.,Lydia Becker Institute of Immunology and Inflammation, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
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15
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McGurk KA, Keavney BD, Nicolaou A. Circulating ceramides as biomarkers of cardiovascular disease: Evidence from phenotypic and genomic studies. Atherosclerosis 2021; 327:18-30. [PMID: 34004484 DOI: 10.1016/j.atherosclerosis.2021.04.021] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Revised: 04/25/2021] [Accepted: 04/30/2021] [Indexed: 12/20/2022]
Abstract
There is a need for new biomarkers of atherosclerotic cardiovascular disease (ACVD), the main cause of death globally. Ceramides, a class of potent bioactive lipid mediators, have signalling roles in apoptosis, cellular stress and inflammation. Recent studies have highlighted circulating ceramides as novel biomarkers of coronary artery disease, type-2 diabetes and insulin resistance. Ceramides are highly regulated by enzymatic reactions throughout the body in terms of their activity and metabolism, including production, degradation and transport. The genetic studies that have been completed to date on the main ceramide species found in circulation are described, highlighting the importance of DNA variants in genes involved in ceramide biosynthesis as key influencers of heritable, circulating ceramide levels. We also review studies of disease associations with ceramides and discuss mechanistic insights deriving from recent genomic studies. The signalling activities of ceramides in vascular inflammation and apoptosis, associations between circulating ceramides and coronary artery disease risk, type-2 diabetes and insulin resistance, and the potential importance of ceramides with regard to ACVD risk factors, such as blood pressure, lipoproteins and lifestyle factors, are also discussed.
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Affiliation(s)
- Kathryn A McGurk
- Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, UK; Laboratory for Lipidomics and Lipid Research, Division of Pharmacy and Optometry, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, UK
| | - Bernard D Keavney
- Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, UK; Manchester Heart Centre, Manchester University NHS Foundation Trust, UK
| | - Anna Nicolaou
- Laboratory for Lipidomics and Lipid Research, Division of Pharmacy and Optometry, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, UK; Lydia Becker Institute of Immunology and Inflammation, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
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