1
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Kumabe Y, Kalbas Y, Halvachizadeh S, Teuben M, Cesarovic N, Weisskopf M, Hülsmeier A, Hornemann T, Cinelli P, Pape HC, Pfeifer R. Occult hypoperfusion and changes of systemic lipid levels after severe trauma: an analysis in a standardized porcine polytrauma model. Eur J Trauma Emerg Surg 2024; 50:107-114. [PMID: 35819473 PMCID: PMC10924008 DOI: 10.1007/s00068-022-02039-1] [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: 03/24/2022] [Accepted: 06/26/2022] [Indexed: 11/03/2022]
Abstract
BACKGROUND Occult hypoperfusion describes the absence of sufficient microcirculation despite normal vital signs. It is known to be associated with prolonged elevation of serum lactate and later complications in severely injured patients. We hypothesized that changes in circulating lipids are related to responsiveness to resuscitation. The purpose of this study is investigating the relation between responsiveness to resuscitation and lipidomic course after poly trauma. METHODS Twenty-five male pigs were exposed a combined injury of blunt chest trauma, liver laceration, controlled haemorrhagic shock, and femoral shaft fracture. After 1 h, animals received resuscitation and fracture stabilization. Venous blood was taken regularly and 233 specific lipids were analysed. Animals were divided into two groups based on serum lactate level at the end point as an indicator of responsiveness to resuscitation (<2 mmol/L: responder group (R group), ≧2 mmol/L: occult hypoperfusion group (OH group)). RESULTS Eighteen animals met criteria for the R group, four animals for the OH group, and three animals died. Acylcarnitines showed a significant increase at 1 h compared to baseline in both groups. Six lipid subgroups showed a significant increase only in R group at 2 h. There was no significant change at other time points. CONCLUSIONS Six lipid groups increased significantly only in the R group at 2 h, which may support the idea that they could serve as potential biomarkers to help us to detect the presence of occult hypoperfusion and insufficient resuscitation. We feel that further study is required to confirm the role and mechanism of lipid changes after trauma.
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Affiliation(s)
- Yohei Kumabe
- Department of Trauma, Institute for Clinical Chemistry, Zurich University Hospital, Zurich, Switzerland
- Department of Surgical Research, Harald Tscherne Laboratory for Orthopaedic and Trauma Research, Zurich University Hospital, Zurich, Switzerland
| | - Yannik Kalbas
- Department of Trauma, Institute for Clinical Chemistry, Zurich University Hospital, Zurich, Switzerland
- Department of Surgical Research, Harald Tscherne Laboratory for Orthopaedic and Trauma Research, Zurich University Hospital, Zurich, Switzerland
| | - Sascha Halvachizadeh
- Department of Trauma, Institute for Clinical Chemistry, Zurich University Hospital, Zurich, Switzerland
- Department of Surgical Research, Harald Tscherne Laboratory for Orthopaedic and Trauma Research, Zurich University Hospital, Zurich, Switzerland
| | - Michel Teuben
- Department of Trauma, Institute for Clinical Chemistry, Zurich University Hospital, Zurich, Switzerland
- Department of Surgical Research, Harald Tscherne Laboratory for Orthopaedic and Trauma Research, Zurich University Hospital, Zurich, Switzerland
| | - Nikola Cesarovic
- Department of Surgical Research, Harald Tscherne Laboratory for Orthopaedic and Trauma Research, Zurich University Hospital, Zurich, Switzerland
| | - Miriam Weisskopf
- Department of Surgical Research, Harald Tscherne Laboratory for Orthopaedic and Trauma Research, Zurich University Hospital, Zurich, Switzerland
| | - Andreas Hülsmeier
- Department of Trauma, Institute for Clinical Chemistry, Zurich University Hospital, Zurich, Switzerland
| | - Thorsten Hornemann
- Department of Trauma, Institute for Clinical Chemistry, Zurich University Hospital, Zurich, Switzerland
| | - Paolo Cinelli
- Department of Surgical Research, Harald Tscherne Laboratory for Orthopaedic and Trauma Research, Zurich University Hospital, Zurich, Switzerland
| | - Hans-Christoph Pape
- Department of Trauma, Institute for Clinical Chemistry, Zurich University Hospital, Zurich, Switzerland
- Department of Surgical Research, Harald Tscherne Laboratory for Orthopaedic and Trauma Research, Zurich University Hospital, Zurich, Switzerland
| | - Roman Pfeifer
- Department of Trauma, Institute for Clinical Chemistry, Zurich University Hospital, Zurich, Switzerland.
- Department of Surgical Research, Harald Tscherne Laboratory for Orthopaedic and Trauma Research, Zurich University Hospital, Zurich, Switzerland.
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2
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Sæther JC, Klevjer M, Giskeødegård GF, Bathen TF, Gigante B, Gjære S, Myhra M, Vesterbekkmo EK, Wiseth R, Madssen E, Bye A. Small LDL subfractions are associated with coronary atherosclerosis despite no differences in conventional lipids. Physiol Genomics 2023; 55:16-26. [PMID: 36374174 DOI: 10.1152/physiolgenomics.00098.2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Lipoprotein subfractions currently represent a new source of cardiovascular disease (CVD) risk markers that may provide more information than conventional lipid measures. We aimed to investigate whether lipoprotein subfractions are associated with coronary atherosclerosis in patients without prior known CVD. Fasting serum samples from 60 patients with suspected coronary artery disease (CAD) were collected before coronary angiography and analyzed by nuclear magnetic resonance (NMR) spectroscopy. The severity of coronary atherosclerosis was quantified by the Gensini score (≤20.5 = nonsignificant coronary atherosclerosis, 20.6-30.0 = intermediate coronary atherosclerosis, ≥30.1 = significant CAD). Differences in lipoprotein subfractions between the three Gensini groups were assessed by two-way ANOVA, adjusted for statin use. Despite no differences in conventional lipid measures between the three Gensini groups, patients with significant CAD had higher apolipoprotein-B/apolipoprotein-A1 ratio, 30% more small and dense low-density lipoprotein 5 (LDL-5) particles, and increased levels of cholesterol, triglycerides, and phospholipids within LDL-5 compared with patients with nonsignificant coronary atherosclerosis and intermediate coronary atherosclerosis (P ≤ 0.001). In addition, the low-density lipoprotein (LDL) cholesterol/high-density lipoprotein cholesterol ratio, and triglyceride levels of LDL 4 were significantly increased in patients with significant CAD compared with patients with nonsignificant coronary atherosclerosis. In conclusion, small and dense lipoprotein subfractions were associated with coronary atherosclerosis in patients without prior CVD. Additional studies are needed to explore whether lipoprotein subfractions may represent biomarkers offering a clinically meaningful improvement in the risk prediction of CAD.
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Affiliation(s)
- Julie Caroline Sæther
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.,Clinic of Cardiology, St. Olavs University Hospital, Trondheim, Norway
| | - Marie Klevjer
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.,Clinic of Cardiology, St. Olavs University Hospital, Trondheim, Norway
| | - Guro Fanneløb Giskeødegård
- Department of Public Health and Nursing, K. G. Jebsen Center for Genetic Epidemiology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Tone Frost Bathen
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
| | - Bruna Gigante
- Department of Cardiovascular Epidemiology, Karolinska Institute, Stockholm, Sweden
| | - Sigrid Gjære
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
| | - Marthe Myhra
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
| | - Elisabeth Kleivhaug Vesterbekkmo
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.,Clinic of Cardiology, St. Olavs University Hospital, Trondheim, Norway
| | - Rune Wiseth
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.,Clinic of Cardiology, St. Olavs University Hospital, Trondheim, Norway
| | - Erik Madssen
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.,Clinic of Cardiology, St. Olavs University Hospital, Trondheim, Norway
| | - Anja Bye
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.,Clinic of Cardiology, St. Olavs University Hospital, Trondheim, Norway
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3
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Nrf2 and Heme Oxygenase-1 Involvement in Atherosclerosis Related Oxidative Stress. Antioxidants (Basel) 2021; 10:antiox10091463. [PMID: 34573095 PMCID: PMC8466960 DOI: 10.3390/antiox10091463] [Citation(s) in RCA: 51] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Revised: 09/02/2021] [Accepted: 09/09/2021] [Indexed: 12/19/2022] Open
Abstract
Atherosclerosis remains the underlying process responsible for cardiovascular diseases and the high mortality rates associated. This chronic inflammatory disease progresses with the formation of occlusive atherosclerotic plaques over the inner walls of vascular vessels, with oxidative stress being an important element of this pathology. Oxidation of low-density lipoproteins (ox-LDL) induces endothelial dysfunction, foam cell activation, and inflammatory response, resulting in the formation of fatty streaks in the atherosclerotic wall. With this in mind, different approaches aim to reduce oxidative damage as a strategy to tackle the progression of atherosclerosis. Special attention has been paid in recent years to the transcription factor Nrf2 and its downstream-regulated protein heme oxygenase-1 (HO-1), both known to provide protection against atherosclerotic injury. In the current review, we summarize the involvement of oxidative stress in atherosclerosis, focusing on the role that these antioxidant molecules exert, as well as the potential therapeutic strategies applied to enhance their antioxidant and antiatherogenic properties.
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4
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Joyce K, Fabra GT, Bozkurt Y, Pandit A. Bioactive potential of natural biomaterials: identification, retention and assessment of biological properties. Signal Transduct Target Ther 2021; 6:122. [PMID: 33737507 PMCID: PMC7973744 DOI: 10.1038/s41392-021-00512-8] [Citation(s) in RCA: 64] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 12/29/2020] [Accepted: 01/19/2021] [Indexed: 02/07/2023] Open
Abstract
Biomaterials have had an increasingly important role in recent decades, in biomedical device design and the development of tissue engineering solutions for cell delivery, drug delivery, device integration, tissue replacement, and more. There is an increasing trend in tissue engineering to use natural substrates, such as macromolecules native to plants and animals to improve the biocompatibility and biodegradability of delivered materials. At the same time, these materials have favourable mechanical properties and often considered to be biologically inert. More importantly, these macromolecules possess innate functions and properties due to their unique chemical composition and structure, which increase their bioactivity and therapeutic potential in a wide range of applications. While much focus has been on integrating these materials into these devices via a spectrum of cross-linking mechanisms, little attention is drawn to residual bioactivity that is often hampered during isolation, purification, and production processes. Herein, we discuss methods of initial material characterisation to determine innate bioactivity, means of material processing including cross-linking, decellularisation, and purification techniques and finally, a biological assessment of retained bioactivity of a final product. This review aims to address considerations for biomaterials design from natural polymers, through the optimisation and preservation of bioactive components that maximise the inherent bioactive potency of the substrate to promote tissue regeneration.
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Affiliation(s)
- Kieran Joyce
- School of Medicine, National University of Ireland, Galway, Ireland
- CÚRAM, SFI Research Centre for Medical Devices, National University of Ireland, Galway, Ireland
| | - Georgina Targa Fabra
- CÚRAM, SFI Research Centre for Medical Devices, National University of Ireland, Galway, Ireland
| | - Yagmur Bozkurt
- CÚRAM, SFI Research Centre for Medical Devices, National University of Ireland, Galway, Ireland
| | - Abhay Pandit
- CÚRAM, SFI Research Centre for Medical Devices, National University of Ireland, Galway, Ireland.
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5
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Jové M, Mota-Martorell N, Pradas I, Galo-Licona JD, Martín-Gari M, Obis È, Sol J, Pamplona R. The Lipidome Fingerprint of Longevity. Molecules 2020; 25:molecules25184343. [PMID: 32971886 PMCID: PMC7570520 DOI: 10.3390/molecules25184343] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2020] [Revised: 09/16/2020] [Accepted: 09/18/2020] [Indexed: 12/18/2022] Open
Abstract
Lipids were determinants in the appearance and evolution of life. Recent studies disclose the existence of a link between lipids and animal longevity. Findings from both comparative studies and genetics and nutritional interventions in invertebrates, vertebrates, and exceptionally long-lived animal species—humans included—demonstrate that both the cell membrane fatty acid profile and lipidome are a species-specific optimized evolutionary adaptation and traits associated with longevity. All these emerging observations point to lipids as a key target to study the molecular mechanisms underlying differences in longevity and suggest the existence of a lipidome profile of long life.
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6
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Wu Z, Bagarolo GI, Thoröe-Boveleth S, Jankowski J. "Lipidomics": Mass spectrometric and chemometric analyses of lipids. Adv Drug Deliv Rev 2020; 159:294-307. [PMID: 32553782 DOI: 10.1016/j.addr.2020.06.009] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 06/03/2020] [Accepted: 06/06/2020] [Indexed: 01/01/2023]
Abstract
Lipids are ubiquitous in the human organism and play essential roles as components of cell membranes and hormones, for energy storage or as mediators of cell signaling pathways. As crucial mediators of the human metabolism, lipids are also involved in metabolic diseases, cardiovascular and renal diseases, cancer and/or hepatological and neurological disorders. With rapidly growing evidence supporting the impact of lipids on both the genesis and progression of these diseases as well as patient wellbeing, the characterization of the human lipidome has gained high interest and importance in life sciences and clinical diagnostics within the last 15 years. This is mostly due to technically advanced molecular identification and quantification methods, mainly based on mass spectrometry. Mass spectrometry has become one of the most powerful tools for the identification of lipids. New lipidic mediators or biomarkers of diseases can be analysed by state-of-the art mass spectrometry techniques supported by sophisticated bioinformatics and biostatistics. The lipidomic approach has developed dramatically in the realm of life sciences and clinical diagnostics due to the available mass spectrometric methods and in particular due to the adaptation of biostatistical methods in recent years. Therefore, the current knowledge of lipid extraction methods, mass-spectrometric approaches, biostatistical data analysis, including workflows for the interpretation of lipidomic high-throughput data, are reviewed in this manuscript.
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Affiliation(s)
- Zhuojun Wu
- Institute for Molecular Cardiovascular Research, University Hospital RWTH Aachen, Aachen, Pauwelsstraße 30, 52074 Aachen, Germany
| | - Giulia Ilaria Bagarolo
- Institute for Molecular Cardiovascular Research, University Hospital RWTH Aachen, Aachen, Pauwelsstraße 30, 52074 Aachen, Germany
| | - Sven Thoröe-Boveleth
- Institute for Molecular Cardiovascular Research, University Hospital RWTH Aachen, Aachen, Pauwelsstraße 30, 52074 Aachen, Germany
| | - Joachim Jankowski
- Institute for Molecular Cardiovascular Research, University Hospital RWTH Aachen, Aachen, Pauwelsstraße 30, 52074 Aachen, Germany; School for Cardiovascular Diseases, Maastricht University, Universiteitssingel 50, Maastricht, The Netherlands.
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7
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Torkhovskaya TI, Zakharova TS, Korotkevich EI, Ipatova OM, Markin SS. Human Blood Plasma Lipidome: Opportunities and Prospects of Its Analysis in Medical Chemistry. RUSSIAN JOURNAL OF BIOORGANIC CHEMISTRY 2019. [DOI: 10.1134/s106816201905011x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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8
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Mika A, Sledzinski T, Stepnowski P. Current Progress of Lipid Analysis in Metabolic Diseases by Mass Spectrometry Methods. Curr Med Chem 2019; 26:60-103. [PMID: 28971757 DOI: 10.2174/0929867324666171003121127] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2016] [Revised: 09/14/2016] [Accepted: 10/10/2016] [Indexed: 12/11/2022]
Abstract
BACKGROUND Obesity, insulin resistance, diabetes, and metabolic syndrome are associated with lipid alterations, and they affect the risk of long-term cardiovascular disease. A reliable analytical instrument to detect changes in the composition or structures of lipids and the tools allowing to connect changes in a specific group of lipids with a specific disease and its progress, is constantly lacking. Lipidomics is a new field of medicine based on the research and identification of lipids and lipid metabolites present in human organism. The primary aim of lipidomics is to search for new biomarkers of different diseases, mainly civilization diseases. OBJECTIVE We aimed to review studies reporting the application of mass spectrometry for lipid analysis in metabolic diseases. METHOD Following an extensive search of peer-reviewed articles on the mass spectrometry analysis of lipids the literature has been discussed in this review article. RESULTS The lipid group contains around 1.7 million species; they are totally different, in terms of the length of aliphatic chain, amount of rings, additional functional groups. Some of them are so complex that their complex analyses are a challenge for analysts. Their qualitative and quantitative analysis of is based mainly on mass spectrometry. CONCLUSION Mass spectrometry techniques are excellent tools for lipid profiling in complex biological samples and the combination with multivariate statistical analysis enables the identification of potential diagnostic biomarkers.
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Affiliation(s)
- Adriana Mika
- Department of Environmental Analysis, Faculty of Chemistry, University of Gdansk, Poland.,Department of Pharmaceutical Biochemistry, Medical University of Gdansk, Gdansk, Poland
| | - Tomasz Sledzinski
- Department of Pharmaceutical Biochemistry, Medical University of Gdansk, Gdansk, Poland
| | - Piotr Stepnowski
- Department of Environmental Analysis, Faculty of Chemistry, University of Gdansk, Poland
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9
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Kaabia Z, Poirier J, Moughaizel M, Aguesse A, Billon-Crossouard S, Fall F, Durand M, Dagher E, Krempf M, Croyal M. Plasma lipidomic analysis reveals strong similarities between lipid fingerprints in human, hamster and mouse compared to other animal species. Sci Rep 2018; 8:15893. [PMID: 30367109 PMCID: PMC6203725 DOI: 10.1038/s41598-018-34329-3] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2018] [Accepted: 10/15/2018] [Indexed: 02/06/2023] Open
Abstract
Cardiovascular diseases are often associated with impaired lipid metabolism. Animal models are useful for deciphering the physiological mechanisms underlying these pathologies. However, lipid metabolism is contrasted between species limiting the transposition of findings from animals to human. Hence, we aimed to compare extended lipid profiles of several animal species to bring new insights in animal model selections. Human lipid phenotype was compared with those of 10 animal species. Standard plasma lipids and lipoprotein profiles were obtained by usual methods and lipidomic analysis was conducted by liquid chromatography-high-resolution mass spectrometry (LC-HRMS). As anticipated, we found contrasted lipid profiles between species. Some of them exhibited similar plasma lipids to human (non-human primate, rat, hamster, pig), but only usual lipid profiles of pigs were superimposable with human. LC-HRMS analyses allowed the identification of 106 other molecular species of lipids, common to all samples and belonging to major lipid families. Multivariate analyses clearly showed that hamster and, in a lower extent mouse, exhibited close lipid fingerprints to that of human. Besides, several lipid candidates that were previously reported to study cardiovascular diseases ranged similarly in human and hamster. Hence, hamster appeared to be the best option to study physiological disturbances related to cardiovascular diseases.
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Affiliation(s)
- Zied Kaabia
- Mass Spectrometry Core facility of West Human Nutrition Research Center (CRNHO), Hotel Dieu Hospital, Nantes, France
| | - Julie Poirier
- Mass Spectrometry Core facility of West Human Nutrition Research Center (CRNHO), Hotel Dieu Hospital, Nantes, France
| | - Michelle Moughaizel
- Mass Spectrometry Core facility of West Human Nutrition Research Center (CRNHO), Hotel Dieu Hospital, Nantes, France
| | - Audrey Aguesse
- Mass Spectrometry Core facility of West Human Nutrition Research Center (CRNHO), Hotel Dieu Hospital, Nantes, France.,Inra, UMR 1280, Physiologie des Adaptations Nutritionnelles, Nantes, France
| | - Stéphanie Billon-Crossouard
- Mass Spectrometry Core facility of West Human Nutrition Research Center (CRNHO), Hotel Dieu Hospital, Nantes, France.,Inra, UMR 1280, Physiologie des Adaptations Nutritionnelles, Nantes, France
| | - Fanta Fall
- Mass Spectrometry Core facility of West Human Nutrition Research Center (CRNHO), Hotel Dieu Hospital, Nantes, France
| | - Manon Durand
- Mass Spectrometry Core facility of West Human Nutrition Research Center (CRNHO), Hotel Dieu Hospital, Nantes, France
| | - Elie Dagher
- Department of Pathology, Oniris, Nantes Atlantic College of Veterinary Medicine Food Science and Engineering, Nantes, France
| | - Michel Krempf
- Mass Spectrometry Core facility of West Human Nutrition Research Center (CRNHO), Hotel Dieu Hospital, Nantes, France.,Inra, UMR 1280, Physiologie des Adaptations Nutritionnelles, Nantes, France.,Department of Endocrinology, Metabolic diseases and Nutrition, G and R Laennec Hospital, Nantes, France
| | - Mikaël Croyal
- Mass Spectrometry Core facility of West Human Nutrition Research Center (CRNHO), Hotel Dieu Hospital, Nantes, France. .,Inra, UMR 1280, Physiologie des Adaptations Nutritionnelles, Nantes, France.
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10
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Pradas I, Huynh K, Cabré R, Ayala V, Meikle PJ, Jové M, Pamplona R. Lipidomics Reveals a Tissue-Specific Fingerprint. Front Physiol 2018; 9:1165. [PMID: 30210358 PMCID: PMC6121266 DOI: 10.3389/fphys.2018.01165] [Citation(s) in RCA: 68] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2018] [Accepted: 08/03/2018] [Indexed: 01/23/2023] Open
Abstract
In biological systems lipids generate membranes and have a key role in cell signaling and energy storage. Therefore, there is a wide diversity of molecular lipid expressed at the compositional level in cell membranes and organelles, as well as in tissues, whose lipid distribution remains unclear. Here, we report a mass spectrometry study of lipid abundance across 7 rat tissues, detecting and quantifying 652 lipid molecular species from the glycerolipid, glycerophospholipid, fatty acyl, sphingolipid, sterol lipid and prenol lipid categories. Our results demonstrate that every tissue analyzed presents a specific lipid distribution and concentration. Thus, glycerophospholipids are the most abundant tissue lipid, they share a similar tissue distribution but differ in particular lipid species between tissues. Sphingolipids are more concentrated in the renal cortex and sterol lipids can be found mainly in both liver and kidney. Both types of white adipose tissue, visceral and subcutaneous, are rich in glycerolipids but differing the amount. Acylcarnitines are mainly in the skeletal muscle, gluteus and soleus, while heart presents higher levels of ubiquinone than other tissues. The present study demonstrates the existence of a rat tissue-specific fingerprint.
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Affiliation(s)
- Irene Pradas
- Department of Experimental Medicine, Institute for Research in Biomedicine of Lleida, University of Lleida, Lleida, Spain
| | - Kevin Huynh
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Rosanna Cabré
- Department of Experimental Medicine, Institute for Research in Biomedicine of Lleida, University of Lleida, Lleida, Spain
| | - Victòria Ayala
- Department of Experimental Medicine, Institute for Research in Biomedicine of Lleida, University of Lleida, Lleida, Spain
| | - Peter J Meikle
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Mariona Jové
- Department of Experimental Medicine, Institute for Research in Biomedicine of Lleida, University of Lleida, Lleida, Spain
| | - Reinald Pamplona
- Department of Experimental Medicine, Institute for Research in Biomedicine of Lleida, University of Lleida, Lleida, Spain
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11
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Colombo S, Melo T, Martínez-López M, Carrasco MJ, Domingues MR, Pérez-Sala D, Domingues P. Phospholipidome of endothelial cells shows a different adaptation response upon oxidative, glycative and lipoxidative stress. Sci Rep 2018; 8:12365. [PMID: 30120318 PMCID: PMC6097988 DOI: 10.1038/s41598-018-30695-0] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2018] [Accepted: 07/23/2018] [Indexed: 01/05/2023] Open
Abstract
Endothelial dysfunction has been widely associated with oxidative stress, glucotoxicity and lipotoxicity and underlies the development of cardiovascular diseases (CVDs), atherosclerosis and diabetes. In such pathological conditions, lipids are emerging as mediators of signalling pathways evoking key cellular responses as expression of proinflammatory genes, proliferation and apoptosis. Hence, the assessment of lipid profiles in endothelial cells (EC) can provide valuable information on the molecular alterations underlying CVDs, atherosclerosis and diabetes. We performed a lipidomic approach based on hydrophilic interaction liquid chromatography-tandem mass spectrometry (HILIC-MS/MS) for the analysis of the phospholipidome of bovine aortic EC (BAEC) exposed to oxidative (H2O2), glycative (glucose), or lipoxidative (4-hydroxynonenal, HNE) stress. The phospholipid (PL) profile was evaluated for the classes PC, PE, PS, PG, PI, SM, LPC and CL. H2O2 induced a more acute adaptation of the PL profile than glucose or HNE. Unsaturated PL molecular species were up-regulated after 24 h incubation with H2O2, while an opposite trend was observed in glucose- and HNE-treated cells. This study compared, for the first time, the adaptation of the phospholipidome of BAEC upon different induced biochemical stresses. Although further biological studies will be necessary, our results unveil specific lipid signatures in response to characteristic types of stress.
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Affiliation(s)
- Simone Colombo
- Mass Spectrometry Centre, Department of Chemistry & QOPNA, University of Aveiro, Campus Universitário de Santiago, 3810-193, Aveiro, Portugal
| | - Tânia Melo
- Mass Spectrometry Centre, Department of Chemistry & QOPNA, University of Aveiro, Campus Universitário de Santiago, 3810-193, Aveiro, Portugal
| | - Marta Martínez-López
- Department of Structural and Chemical Biology, Centro de Investigaciones Biológicas, CSIC, Ramiro, de Maeztu, 9, 28040, Madrid, Spain
| | - M Jesús Carrasco
- Department of Structural and Chemical Biology, Centro de Investigaciones Biológicas, CSIC, Ramiro, de Maeztu, 9, 28040, Madrid, Spain
| | - M Rosário Domingues
- Mass Spectrometry Centre, Department of Chemistry & QOPNA, University of Aveiro, Campus Universitário de Santiago, 3810-193, Aveiro, Portugal.
| | - Dolores Pérez-Sala
- Department of Structural and Chemical Biology, Centro de Investigaciones Biológicas, CSIC, Ramiro, de Maeztu, 9, 28040, Madrid, Spain
| | - Pedro Domingues
- Mass Spectrometry Centre, Department of Chemistry & QOPNA, University of Aveiro, Campus Universitário de Santiago, 3810-193, Aveiro, Portugal
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12
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Saulnier-Blache JS, Wilson R, Klavins K, Graham D, Alesutan I, Kastenmüller G, Wang-Sattler R, Adamski J, Roden M, Rathmann W, Seissler J, Meisinger C, Koenig W, Thiery J, Suhre K, Peters A, Kuro-O M, Lang F, Dallmann G, Delles C, Voelkl J, Waldenberger M, Bascands JL, Klein J, Schanstra JP. Ldlr -/- and ApoE -/- mice better mimic the human metabolite signature of increased carotid intima media thickness compared to other animal models of cardiovascular disease. Atherosclerosis 2018; 276:140-147. [PMID: 30059845 DOI: 10.1016/j.atherosclerosis.2018.07.024] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Revised: 06/21/2018] [Accepted: 07/18/2018] [Indexed: 12/16/2022]
Abstract
BACKGROUND AND AIMS Preclinical experiments on animal models are essential to understand the mechanisms of cardiovascular disease (CVD). Metabolomics allows access to the metabolic perturbations associated with CVD in heart and vessels. Here we assessed which potential animal CVD model most closely mimics the serum metabolite signature of increased carotid intima-media thickness (cIMT) in humans, a clinical parameter widely accepted as a surrogate of CVD. METHODS A targeted mass spectrometry assay was used to quantify and compare a series of blood metabolites between 1362 individuals (KORA F4 cohort) and 5 animal CVD models: ApoE-/-, Ldlr-/-, and klotho-hypomorphic mice (kl/kl) and SHRSP rats with or without salt feeding. The metabolite signatures were obtained using linear regressions adjusted for various co-variates. RESULTS In human, increased cIMT [quartile Q4 vs. Q1] was associated with 26 metabolites (9 acylcarnitines, 2 lysophosphatidylcholines, 9 phosphatidylcholines and 6 sphingomyelins). Acylcarnitines correlated preferentially with serum glucose and creatinine. Phospholipids correlated preferentially with cholesterol (total and LDL). The human signature correlated positively and significantly with Ldlr-/- and ApoE-/- mice, while correlation with kl/kl mice and SHRP rats was either negative and non-significant. Human and Ldlr-/- mice shared 11 significant metabolites displaying the same direction of regulation: 5 phosphatidylcholines, 1 lysophosphatidylcholines, 5 sphingomyelins; ApoE-/- mice shared 10. CONCLUSIONS The human cIMT signature was partially mimicked by Ldlr-/- and ApoE-/- mice. These animal models might help better understand the biochemical and molecular mechanisms involved in the vessel metabolic perturbations associated with, and contributing to metabolic disorders in CVD.
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Affiliation(s)
- Jean Sébastien Saulnier-Blache
- Institute of Cardiovascular and Metabolic Disease, Institut National de La Santé et de La Recherche Médicale (INSERM), Toulouse, France; Université Toulouse III Paul-Sabatier, Toulouse, France.
| | - Rory Wilson
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Germany; Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Germany
| | - Kristaps Klavins
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | - Delyth Graham
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Ioana Alesutan
- Medizinische Klinik Mit Schwerpunkt Kardiologie, Campus Virchow-Klinikum, Charité-Universitaetsmedizin Berlin, Berlin, Germany
| | - Gabi Kastenmüller
- Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764, Neuherberg, Germany; German Center for Diabetes Research (DZD), 85764, Neuherberg, Germany
| | - Rui Wang-Sattler
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Germany; Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Germany
| | - Jerzy Adamski
- Institute of Experimental Genetics, Genome Analysis Center, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Germany
| | - Michael Roden
- Institute for Clinical Diabetology, German Diabetes Center at Heinrich Heine University, Leibniz Center for Diabetes Research, Düsseldorf, Germany; Department of Endocrinology and Diabetology, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany; German Center for Diabetes Research (DZD), 85764, Neuherberg, Germany
| | - Wolfgang Rathmann
- German Diabetes Center, Leibniz Institute at Heinrich Heine University Düsseldorf, Institute of Biometrics and Epidemiology, Düsseldorf, Germany; German Center for Diabetes Research (DZD), 85764, Neuherberg, Germany
| | - Jochen Seissler
- Diabetes Zentrum, Medizinische Klinik und Poliklinik IV - Campus Innenstadt, Klinikum der Ludwig-Maximilians-Universität München, Munich, Germany; Clinical Cooperation Group Diabetes, Ludwig-Maximilians-Universität München and Helmholtz Zentrum München, Munich, Germany
| | - Christine Meisinger
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Germany; Chair of Epidemiology, Ludwig-Maximilians-Universität München, UNIKA-T, Augsburg, Germany
| | - Wolfgang Koenig
- Deutsches Herzzentrum München, Technische Universität München, Munich, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
| | - Joachim Thiery
- Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University Hospital, Leipzig, Germany
| | - Karsten Suhre
- Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, PO Box 24144, Doha, Qatar
| | - Annette Peters
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Germany; Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany; Institute for Medical Informatics, Biometrics and Epidemiology, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Makuto Kuro-O
- Center for Molecular Medicine, Jichi Medical University, Shimotsuke, Japan
| | - Florian Lang
- Physiologisches Institut, University of Tübingen, 72076 Tübingen, Germany; Department of Molecular Medicine II, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - Guido Dallmann
- Biocrates Life Sciences AG, Eduard-Bodem-Gasse 8, 6020 Innsbruck, Austria; Department of Molecular Medicine II, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - Christian Delles
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Jakob Voelkl
- Medizinische Klinik Mit Schwerpunkt Kardiologie, Campus Virchow-Klinikum, Charité-Universitaetsmedizin Berlin, Berlin, Germany
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Germany; Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
| | - Jean-Loup Bascands
- Institut National de La Sante et de La Recherche Médicale (INSERM), U1188 - Université de La Réunion, France
| | - Julie Klein
- Institute of Cardiovascular and Metabolic Disease, Institut National de La Santé et de La Recherche Médicale (INSERM), Toulouse, France; Université Toulouse III Paul-Sabatier, Toulouse, France
| | - Joost P Schanstra
- Institute of Cardiovascular and Metabolic Disease, Institut National de La Santé et de La Recherche Médicale (INSERM), Toulouse, France; Université Toulouse III Paul-Sabatier, Toulouse, France
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13
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van der Laan SW, Harshfield EL, Hemerich D, Stacey D, Wood AM, Asselbergs FW. From lipid locus to drug target through human genomics. Cardiovasc Res 2018; 114:1258-1270. [PMID: 29800275 DOI: 10.1093/cvr/cvy120] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2017] [Accepted: 05/16/2018] [Indexed: 12/14/2022] Open
Abstract
In the last decade, over 175 genetic loci have robustly been associated to levels of major circulating blood lipids. Most loci are specific to one or two lipids, whereas some (SUGP1, ZPR1, TRIB1, HERPUD1, and FADS1) are associated to all. While exposing the polygenic architecture of circulating lipids and the underpinnings of dyslipidaemia, these genome-wide association studies (GWAS) have provided further evidence of the critical role that lipids play in coronary heart disease (CHD) risk, as indicated by the 2.7-fold enrichment for macrophage gene expression in atherosclerotic plaques and the association of 25 loci (such as PCSK9, APOB, ABCG5-G8, KCNK5, LPL, HMGCR, NPC1L1, CETP, TRIB1, ABO, PMAIP1-MC4R, and LDLR) with CHD. These GWAS also confirmed known and commonly used therapeutic targets, including HMGCR (statins), PCSK9 (antibodies), and NPC1L1 (ezetimibe). As we head into the post-GWAS era, we offer suggestions for how to move forward beyond genetic risk loci, towards refining the biology behind the associations and identifying causal genes and therapeutic targets. Deep phenotyping through lipidomics and metabolomics will refine and increase the resolution to find causal and druggable targets, and studies aimed at demonstrating gene transcriptional and regulatory effects of lipid associated loci will further aid in identifying these targets. Thus, we argue the need for deeply phenotyped, large genetic association studies to reduce costs and failures and increase the efficiency of the drug discovery pipeline. We conjecture that in the next decade a paradigm shift will tip the balance towards a data-driven approach to therapeutic target development and the application of precision medicine where human genomics takes centre stage.
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Affiliation(s)
- Sander W van der Laan
- Laboratory of Experimental Cardiology, University Medical Center Utrecht, University of Utrecht, Utrecht, the Netherlands
| | - Eric L Harshfield
- Department of Public Health and Primary Care, University of Cambridge, 2 Worts Causeway, Cambridge CB1 8RN, UK
- Department of Clinical Neurosciences, University of Cambridge, R3, Box 83, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Daiane Hemerich
- Department of Cardiology, University Medical Center Utrecht, University of Utrecht, Heidelberglaan 100, 3584 CX Utrecht, the Netherlands
- CAPES Foundation, Ministry of Education of Brazil, Brasília, Brazil
| | - David Stacey
- Department of Public Health and Primary Care, University of Cambridge, 2 Worts Causeway, Cambridge CB1 8RN, UK
| | - Angela M Wood
- Department of Public Health and Primary Care, University of Cambridge, 2 Worts Causeway, Cambridge CB1 8RN, UK
| | - Folkert W Asselbergs
- Department of Cardiology, University Medical Center Utrecht, University of Utrecht, Heidelberglaan 100, 3584 CX Utrecht, the Netherlands
- Durrer Center for Cardiovascular Research, Netherlands Heart Institute, Utrecht, the Netherlands
- Faculty of Population Health Sciences, Institute of Cardiovascular Science, University College London, London, UK
- Farr Institute of Health Informatics Research, Institute of Health Informatics, University College London, London, UK
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14
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Zhao X, Brusadelli MG, Sauter S, Butsch Kovacic M, Zhang W, Romick-Rosendale LE, Lambert PF, Setchell KDR, Wells SI. Lipidomic Profiling Links the Fanconi Anemia Pathway to Glycosphingolipid Metabolism in Head and Neck Cancer Cells. Clin Cancer Res 2018. [PMID: 29530934 DOI: 10.1158/1078-0432.ccr-17-3686] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
Purpose: Mutations in Fanconi anemia (FA) genes are common in sporadic squamous cell carcinoma of the head and neck (HNSCC), and we have previously demonstrated that FA pathway depletion in HNSCC cell lines stimulates invasion. The goal of our studies was to use a systems approach in order to define FA pathway-dependent lipid metabolism and to extract lipid-based signatures and effectors of invasion in FA-deficient cells.Experimental Design: We subjected FA-isogenic HNSCC keratinocyte cell lines to untargeted and targeted lipidomics analyses to discover novel biomarkers and candidate therapeutic targets in FA-deficient cells. Cellular invasion assays were carried out in the presence and absence of N-butyldeoxynojirimycin (NB-DNJ), a biosynthetic inhibitor of the newly identified class of gangliosides, to investigate the requirement of ganglioside upregulation in FA-deficient HNSCC cells.Results: The most notable element of the lipid profiling results was a consistent elevation of glycosphingolipids, and particularly the accumulation of gangliosides. Conversely, repression of this same class of lipids was observed upon genetic correction of FA patient-derived HNSCC cells. Functional studies demonstrate that ganglioside upregulation is required for HNSCC cell invasion driven by FA pathway loss. The motility of nontransformed keratinocytes in response to FA loss displayed a similar dependence, thus supporting early and late roles for the FA pathway in controlling keratinocyte invasion through lipid regulation.Conclusions: Elevation of glycosphingolipids including the ganglioside GM3 in response to FA loss stimulates invasive characteristics of immortalized and transformed keratinocytes. An inhibitor of glycosphingolipid biosynthesis NB-DNJ attenuates invasive characteristics of FA-deficient HNSCC cells. Clin Cancer Res; 24(11); 2700-9. ©2018 AACR.
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Affiliation(s)
- Xueheng Zhao
- Division of Pathology and Laboratory Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Marion G Brusadelli
- Division of Oncology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Sharon Sauter
- Division of Asthma Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Melinda Butsch Kovacic
- Division of Asthma Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Wujuan Zhang
- Division of Pathology and Laboratory Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Lindsey E Romick-Rosendale
- Division of Pathology and Laboratory Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Paul F Lambert
- McArdle Laboratory for Cancer Research, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Kenneth D R Setchell
- Division of Pathology and Laboratory Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
| | - Susanne I Wells
- Division of Oncology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
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15
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Řezanka T, Kolouchová I, Gharwalová L, Palyzová A, Sigler K. Lipidomic Analysis: From Archaea to Mammals. Lipids 2018; 53:5-25. [PMID: 29446847 DOI: 10.1002/lipd.12001] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2017] [Revised: 09/19/2017] [Accepted: 10/06/2017] [Indexed: 12/29/2022]
Abstract
Lipids are among the most important organic compounds found in all living cells, from primitive archaebacteria to flowering plants or mammalian cells. They form part of cell walls and constitute cell storage material. Their biosynthesis and metabolism play key roles in faraway topics such as biofuel production (third-generation biofuels produced by microorganisms, e.g. algae) and human diseases such as adrenoleukodystrophy, Zellweger syndrome, or Refsum disease. Current lipidomic analysis requires fast and accurate processing of samples and especially their characterization. Because the number of possible lipids and, more specifically, molecular species of lipids is of the order of hundreds to thousands, it is necessary to process huge amounts of data in a short time. There are two basic approaches to lipidomic analysis: shotgun and liquid chromatography-mass spectometry. Both methods have their pros and cons. This review deals with lipidomics not according to the type of ionization or the lipid classes analyzed but according to the types of samples (organisms) under study. Thus, it is divided into lipidomic analysis of archaebacteria, bacteria, yeast, fungi, algae, plants, and animals.
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Affiliation(s)
- Tomáš Řezanka
- Institute of Microbiology, Academy of Sciences of the Czech Republic, Vídeňská 1083, Prague, 142 20, Czech Republic
| | - Irena Kolouchová
- Department of Biotechnology, University of Chemical Technology Prague, Technická 5, Prague, 166 28, Czech Republic
| | - Lucia Gharwalová
- Department of Biotechnology, University of Chemical Technology Prague, Technická 5, Prague, 166 28, Czech Republic
| | - Andrea Palyzová
- Institute of Microbiology, Academy of Sciences of the Czech Republic, Vídeňská 1083, Prague, 142 20, Czech Republic
| | - Karel Sigler
- Institute of Microbiology, Academy of Sciences of the Czech Republic, Vídeňská 1083, Prague, 142 20, Czech Republic
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16
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Ulmer CZ, Ragland JM, Koelmel JP, Heckert A, Jones CM, Garrett TJ, Yost RA, Bowden JA. LipidQC: Method Validation Tool for Visual Comparison to SRM 1950 Using NIST Interlaboratory Comparison Exercise Lipid Consensus Mean Estimate Values. Anal Chem 2017; 89:13069-13073. [DOI: 10.1021/acs.analchem.7b04042] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Affiliation(s)
- Candice Z. Ulmer
- Chemical
Sciences Division, Marine Biochemical Sciences Group, Hollings Marine
Laboratory, National Institute of Standards and Technology, 331 Fort
Johnson Road, Charleston, South Carolina 29412, United States
| | - Jared M. Ragland
- Chemical
Sciences Division, Marine Biochemical Sciences Group, Hollings Marine
Laboratory, National Institute of Standards and Technology, 331 Fort
Johnson Road, Charleston, South Carolina 29412, United States
| | - Jeremy P. Koelmel
- Department
of Chemistry, University of Florida, 125 Buckman Drive, Gainesville, Florida 32611, United States
| | - Alan Heckert
- Statistical
Engineering Division, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899, United States
| | - Christina M. Jones
- Chemical
Sciences Division, Organic Chemical Measurement Science Group, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899, United States
| | - Timothy J. Garrett
- Department
of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, Florida 32610, United States
| | - Richard A. Yost
- Department
of Chemistry, University of Florida, 125 Buckman Drive, Gainesville, Florida 32611, United States
- Department
of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, Florida 32610, United States
| | - John A. Bowden
- Chemical
Sciences Division, Marine Biochemical Sciences Group, Hollings Marine
Laboratory, National Institute of Standards and Technology, 331 Fort
Johnson Road, Charleston, South Carolina 29412, United States
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17
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Rémond MGW, Stewart S, Carrington MJ, Marwick TH, Kingwell BA, Meikle P, O'Brien D, Marshall NS, Maguire GP. Better Indigenous Risk stratification for Cardiac Health study (BIRCH) protocol: rationale and design of a cross-sectional and prospective cohort study to identify novel cardiovascular risk indicators in Aboriginal Australian and Torres Strait Islander adults. BMC Cardiovasc Disord 2017; 17:228. [PMID: 28835227 PMCID: PMC5569545 DOI: 10.1186/s12872-017-0662-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2017] [Accepted: 08/16/2017] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Of the estimated 10-11 year life expectancy gap between Indigenous (Aboriginal and Torres Strait Islander people) and non-Indigenous Australians, approximately one quarter is attributable to cardiovascular disease (CVD). Risk prediction of CVD is imperfect, but particularly limited for Indigenous Australians. The BIRCH (Better Indigenous Risk stratification for Cardiac Health) project aims to identify and assess existing and novel markers of early disease and risk in Indigenous Australians to optimise health outcomes in this disadvantaged population. It further aims to determine whether these markers are relevant in non-Indigenous Australians. METHODS/DESIGN BIRCH is a cross-sectional and prospective cohort study of Indigenous and non-Indigenous Australian adults (≥ 18 years) living in remote, regional and urban locations. Participants will be assessed for CVD risk factors, left ventricular mass and strain via echocardiography, sleep disordered breathing and quality via home-based polysomnography or actigraphy respectively, and plasma lipidomic profiles via mass spectrometry. Outcome data will comprise CVD events and death over a period of five years. DISCUSSION Results of BIRCH may increase understanding regarding the factors underlying the increased burden of CVD in Indigenous Australians in this setting. Further, it may identify novel markers of early disease and risk to inform the development of more accurate prediction equations. Better identification of at-risk individuals will promote more effective primary and secondary preventive initiatives to reduce Indigenous Australian health disadvantage.
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Affiliation(s)
- Marc G W Rémond
- Baker Heart and Diabetes Institute, PO Box 6492, Melbourne, VIC, 3004, Australia.
| | - Simon Stewart
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia
| | - Melinda J Carrington
- Baker Heart and Diabetes Institute, PO Box 6492, Melbourne, VIC, 3004, Australia.,Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia
| | - Thomas H Marwick
- Baker Heart and Diabetes Institute, PO Box 6492, Melbourne, VIC, 3004, Australia
| | - Bronwyn A Kingwell
- Baker Heart and Diabetes Institute, PO Box 6492, Melbourne, VIC, 3004, Australia
| | - Peter Meikle
- Baker Heart and Diabetes Institute, PO Box 6492, Melbourne, VIC, 3004, Australia
| | - Darren O'Brien
- The Woolcock Institute of Medical Research, The University of Sydney, Sydney, NSW, Australia
| | - Nathaniel S Marshall
- The Woolcock Institute of Medical Research, The University of Sydney, Sydney, NSW, Australia.,Sydney Nursing School, The University of Sydney, Sydney, NSW, Australia
| | - Graeme P Maguire
- Baker Heart and Diabetes Institute, PO Box 6492, Melbourne, VIC, 3004, Australia
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18
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Connecting the Dots Between Fatty Acids, Mitochondrial Function, and DNA Methylation in Atherosclerosis. Curr Atheroscler Rep 2017; 19:36. [PMID: 28735349 DOI: 10.1007/s11883-017-0673-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
PURPOSE OF REVIEW The quest for factors and mechanisms responsible for aberrant DNA methylation in human disease-including atherosclerosis-is a promising area of research. This review focuses on the role of fatty acids (FAs) as modulators of DNA methylation-in particular the role of mitochondrial beta-oxidation in FA-induced changes in DNA methylation during the progression of atherosclerosis. RECENT FINDINGS Recent publications have advanced the knowledge in all areas touched by this review: the causal role of lipids in shaping the DNA methylome, the associations between chronic degenerative disease and mitochondrial function, the lipid composition of the atheroma, and the relevance of DNA hypermethylation in atherosclerosis. Evidence is beginning to emerge, linking the dynamics of FA type abundance, mitochondrial function, and DNA methylation in the atheroma and systemically. In particular, this review highlights mitochondrial beta-oxidation as an important regulator of DNA methylation in metabolic disease. Despite the many questions still unanswered, this area of research promises to identify mechanisms and molecular factors that establish a pathological gene expression pattern in atherosclerosis.
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Rai S, Bhatnagar S. Novel Lipidomic Biomarkers in Hyperlipidemia and Cardiovascular Diseases: An Integrative Biology Analysis. ACTA ACUST UNITED AC 2017; 21:132-142. [DOI: 10.1089/omi.2016.0178] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Affiliation(s)
- Sneha Rai
- Computational and Structural Biology Laboratory, Division of Biological Sciences and Engineering, Netaji Subhas Institute of Technology, Dwarka, India
| | - Sonika Bhatnagar
- Computational and Structural Biology Laboratory, Division of Biological Sciences and Engineering, Netaji Subhas Institute of Technology, Dwarka, India
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20
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Kulkarni H, Mamtani M, Blangero J, Curran JE. Lipidomics in the Study of Hypertension in Metabolic Syndrome. Curr Hypertens Rep 2017; 19:7. [DOI: 10.1007/s11906-017-0705-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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21
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Garcia-Garcia HM, Azizi V, Kajita AH. Cardiovascular devices: Potent angioscopy for weak plaques. Nat Biomed Eng 2017. [DOI: 10.1038/s41551-017-0035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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22
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Abstract
Many thousands of lipid species exist and their metabolism is interwoven via numerous pathways and networks. These networks can also change in response to cellular environment alterations, such as exercise or development of a disease. Measuring such alterations and understanding the pathways involved is crucial to fully understand cellular metabolism. Such demands have catalysed the emergence of lipidomics, which enables the large-scale study of lipids using the principles of analytical chemistry. Mass spectrometry, largely due to its analytical power and rapid development of new instruments and techniques, has been widely used in lipidomics and greatly accelerated advances in the field. This Review provides an introduction to lipidomics and describes some common, but important, cellular metabolic networks that can aid our understanding of metabolic pathways. Some representative applications of lipidomics for studying lipid metabolism and metabolic diseases are highlighted, as well as future applications for the use of lipidomics in studying metabolic pathways.
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Affiliation(s)
- Xianlin Han
- Center for Metabolic Origins of Disease, Sanford Burnham Prebys Medical Discovery Institute, 6400 Sanger Road, Orlando, Florida 32827, USA and College of Basic Medical Sciences, Zhejiang Chinese Medical University, 548 Bingwen Road, Hangzhou, Zhejiang 310053, China
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23
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Yang K, Han X. Lipidomics: Techniques, Applications, and Outcomes Related to Biomedical Sciences. Trends Biochem Sci 2016; 41:954-969. [PMID: 27663237 DOI: 10.1016/j.tibs.2016.08.010] [Citation(s) in RCA: 341] [Impact Index Per Article: 42.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2016] [Revised: 08/16/2016] [Accepted: 08/19/2016] [Indexed: 12/16/2022]
Abstract
Lipidomics is a newly emerged discipline that studies cellular lipids on a large scale based on analytical chemistry principles and technological tools, particularly mass spectrometry. Recently, techniques have greatly advanced and novel applications of lipidomics in the biomedical sciences have emerged. This review provides a timely update on these aspects. After briefly introducing the lipidomics discipline, we compare mass spectrometry-based techniques for analysis of lipids and summarize very recent applications of lipidomics in health and disease. Finally, we discuss the status of the field, future directions, and advantages and limitations of the field.
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Affiliation(s)
- Kui Yang
- Division of Bioorganic Chemistry and Molecular Pharmacology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Xianlin Han
- Center for Metabolic Origins of Disease, Sanford Burnham Prebys Medical Discovery Institute, Orlando, Florida 32827, USA; College of Basic Medical Sciences, Zhejiang Chinese Medical University, 548 Bingwen Road, Hangzhou, Zhejiang 310053, China.
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