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Ponnaiah M, Zakiev E, Lhomme M, Rached F, Camont L, Serrano CV, Santos RD, Chapman MJ, Orekhov A, Kontush A. Acute myocardial infarction preferentially alters low-abundant, long-chain unsaturated phospholipid and sphingolipid species in plasma high-density lipoprotein subpopulations. ATHEROSCLEROSIS PLUS 2024; 55:21-30. [PMID: 38226021 PMCID: PMC10788781 DOI: 10.1016/j.athplu.2023.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 11/30/2023] [Accepted: 12/01/2023] [Indexed: 01/17/2024]
Abstract
Aim High-density lipoprotein (HDL) particles in ST-segment elevation myocardial infarction (STEMI) are deficient in their anti-atherogenic function. Molecular determinants of such deficiency remain obscure. Methods Five major HDL subpopulations were isolated using density-gradient ultracentrifugation from STEMI patients (n = 12) and healthy age- and sex-matched controls (n = 12), and 160 species of phosphatidylcholine, lysophosphatidylcholine, phosphatidylethanolamine, phosphatidylinositol, phosphatidylglycerol, phosphatidylserine, phosphatidic acid, sphingomyelin and ceramide were quantified by LC-MS/MS. Results Multiple minor species of proinflammatory phosphatidic acid and lysophosphatidylcholine were enriched by 1.7-27.2-fold throughout the majority of HDL subpopulations in STEMI. In contrast, minor phosphatidylcholine, phosphatidylglycerol, phosphatidylinositol, phosphatidylethanolamine, sphingomyelin and ceramide species were typically depleted up to 3-fold in STEMI vs. control HDLs, while abundances of their major species did not differ between the groups. Intermediate-to-long-chain phosphatidylcholine, phosphatidylinositol and phosphatidylglycerol species were more affected by STEMI than their short-chain counterparts, resulting in positive correlations between their fold decrease and the carbon chain length. Additionally, fold decreases in the abundances of multiple lipid species were positively correlated with the double bond number in their carbon chains. Finally, abundances of several phospholipid and ceramide species were positively correlated with cholesterol efflux capacity and antioxidative activity of HDL subpopulations, both reduced in STEMI vs controls. KEGG pathway analysis tied these species to altered glycerophospholipid and linoleic acid metabolism. Conclusions Minor unsaturated intermediate-to-long-chain phospholipid and sphingolipid species in HDL subpopulations are most affected by STEMI, reflecting alterations in glycerophospholipid and linoleic acid metabolism with the accumulation of proinflammatory lysolipids and maintenance of homeostasis of major phospholipid species.
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Affiliation(s)
- Maharajah Ponnaiah
- IHU ICAN (ICAN OMICS and ICAN I/O), Foundation for Innovation in Cardiometabolism and Nutrition (ANR-10-IAHU-05), Paris, France
| | - Emile Zakiev
- National Institute for Health and Medical Research (INSERM), UMRS 1166 ICAN, Faculty of Medicine Pitié-Salpêtrière, Sorbonne University, Paris, France
- Institute of General Pathology and Pathophysiology, Moscow, Russia
| | - Marie Lhomme
- IHU ICAN (ICAN OMICS and ICAN I/O), Foundation for Innovation in Cardiometabolism and Nutrition (ANR-10-IAHU-05), Paris, France
| | - Fabiana Rached
- Heart Institute (InCor), University of Sao Paulo Medical School Hospital, Sao Paulo, Brazil
| | - Laurent Camont
- National Institute for Health and Medical Research (INSERM), UMRS 1166 ICAN, Faculty of Medicine Pitié-Salpêtrière, Sorbonne University, Paris, France
| | - Carlos V. Serrano
- Heart Institute (InCor), University of Sao Paulo Medical School Hospital, Sao Paulo, Brazil
| | - Raul D. Santos
- Heart Institute (InCor), University of Sao Paulo Medical School Hospital, Sao Paulo, Brazil
- Hospital Israelita Albert Einstein, Sao Paulo, Brazil
| | - M. John Chapman
- National Institute for Health and Medical Research (INSERM), UMRS 1166 ICAN, Faculty of Medicine Pitié-Salpêtrière, Sorbonne University, Paris, France
| | - Alexander Orekhov
- Institute of General Pathology and Pathophysiology, Moscow, Russia
- Institute for Atherosclerosis Research, Moscow, Russia
- Centre of Collective Usage, Institute of Gene Biology, Moscow, Russia
| | - Anatol Kontush
- National Institute for Health and Medical Research (INSERM), UMRS 1166 ICAN, Faculty of Medicine Pitié-Salpêtrière, Sorbonne University, Paris, France
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Shui X, Wen Z, Dong R, Chen Z, Tang L, Tang W, Wu Z, Chen L. Apolipoprotein B is associated with CT-angiographic progression beyond low-density lipoprotein cholesterol and non-high-density lipoprotein cholesterol in patients with coronary artery disease. Lipids Health Dis 2023; 22:125. [PMID: 37559117 PMCID: PMC10410799 DOI: 10.1186/s12944-023-01872-6] [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: 03/26/2023] [Accepted: 07/07/2023] [Indexed: 08/11/2023] Open
Abstract
BACKGROUND Accumulating evidence indicated that apolipoprotein B (apoB) was the principal lipid determinant of coronary artery disease (CAD). Nevertheless, the connection between apoB and angiographic progression of CAD remained undetermined. METHODS Five hundred and forty-four CAD patients with twice coronary computed tomography angiography experiences were enrolled. The Gensini scoring system was used to assess angiographic progression. Incident angiographic progression was defined as an annual change rate of the Gensini score of > 1 point. The predictive efficacy of baseline apoB levels for angiographic progression was assessed using a receiver operating characteristic (ROC) curve. For comparative purposes, patients were categorized into three groups according to their baseline apoB tertiles. Furthermore, discordance analyses defined by the median were performed to assess the superiority of apoB over lipoprotein cholesterol in predicting angiographic progression of CAD. RESULTS Angiographic progression was observed in 184 patients (33.8%) during a follow-up period of 2.2-year. The area under the ROC curve was 0.565 (0.522-0.607, P = 0.013). The incidence of angiographic progression was elevated with increasing apoB tertile after adjusting for confounding factors [odds ratio (OR) for the medium apoB tertile: 1.92, 95% confidence interval (CI): 1.15-3.19, P = 0.012; OR for the high apoB tertile: 2.05, 95%CI:1.17-3.60, P = 0.013]. Additionally, discordance analyses showed that the higher apoB group had a significantly higher risk of CAD progression in the fully adjusted model (all P < 0.05). CONCLUSIONS ApoB could be used as an accurate and comprehensive indicator of angiographic progression in patients with CAD.
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Affiliation(s)
- Xing Shui
- Department of Cardiovascular Medicine, The Third Affiliated Hospital, Sun Yat-sen University, No. 600, Tianhe Road, Guangzhou, 510630, China
| | - Zheqi Wen
- Department of Cardiac Care Unit, The Third Affiliated Hospital, Sun Yat-sen University, No. 600, Tianhe Road, Guangzhou, 510630, China
| | - Ruimin Dong
- Department of Cardiovascular Medicine, The Third Affiliated Hospital, Sun Yat-sen University, No. 600, Tianhe Road, Guangzhou, 510630, China
| | - Zefeng Chen
- Department of Cardiovascular Medicine, The Third Affiliated Hospital, Sun Yat-sen University, No. 600, Tianhe Road, Guangzhou, 510630, China
| | - Leile Tang
- Department of Cardiovascular Medicine, The Third Affiliated Hospital, Sun Yat-sen University, No. 600, Tianhe Road, Guangzhou, 510630, China
| | - Wenyu Tang
- Department of Cardiovascular Medicine, The Third Affiliated Hospital, Sun Yat-sen University, No. 600, Tianhe Road, Guangzhou, 510630, China
| | - Zhen Wu
- Department of Cardiac Care Unit, The Third Affiliated Hospital, Sun Yat-sen University, No. 600, Tianhe Road, Guangzhou, 510630, China.
| | - Lin Chen
- Department of Cardiovascular Medicine, The Third Affiliated Hospital, Sun Yat-sen University, No. 600, Tianhe Road, Guangzhou, 510630, China.
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Begum S, Lodge S, Hall D, Johnson BZ, Bong SH, Whiley L, Gray N, Fear VS, Fear MW, Holmes E, Wood FM, Nicholson JK. Cardiometabolic disease risk markers are increased following burn injury in children. Front Public Health 2023; 11:1105163. [PMID: 37333522 PMCID: PMC10275366 DOI: 10.3389/fpubh.2023.1105163] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 05/11/2023] [Indexed: 06/20/2023] Open
Abstract
Introduction Burn injury in children causes prolonged systemic effects on physiology and metabolism leading to increased morbidity and mortality, yet much remains undefined regarding the metabolic trajectory towards specific health outcomes. Methods A multi-platform strategy was implemented to evaluate the long-term immuno-metabolic consequences of burn injury combining metabolite, lipoprotein, and cytokine panels. Plasma samples from 36 children aged 4-8 years were collected 3 years after a burn injury together with 21 samples from non-injured age and sex matched controls. Three different 1H Nuclear Magnetic Resonance spectroscopic experiments were applied to capture information on plasma low molecular weight metabolites, lipoproteins, and α-1-acid glycoprotein. Results Burn injury was characterized by underlying signatures of hyperglycaemia, hypermetabolism and inflammation, suggesting disruption of multiple pathways relating to glycolysis, tricarboxylic acid cycle, amino acid metabolism and the urea cycle. In addition, very low-density lipoprotein sub-components were significantly reduced in participants with burn injury whereas small-dense low density lipoprotein particles were significantly elevated in the burn injured patient plasma compared to uninjured controls, potentially indicative of modified cardiometabolic risk after a burn. Weighted-node Metabolite Correlation Network Analysis was restricted to the significantly differential features (q <0.05) between the children with and without burn injury and demonstrated a striking disparity in the number of statistical correlations between cytokines, lipoproteins, and small molecular metabolites in the injured groups, with increased correlations between these groups. Discussion These findings suggest a 'metabolic memory' of burn defined by a signature of interlinked and perturbed immune and metabolic function. Burn injury is associated with a series of adverse metabolic changes that persist chronically and are independent of burn severity and this study demonstrates increased risk of cardiovascular disease in the long-term. These findings highlight a crucial need for improved longer term monitoring of cardiometabolic health in a vulnerable population of children that have undergone burn injury.
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Affiliation(s)
- Sofina Begum
- Harvard Medical School, Harvard University, Boston, MA, United States
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA, United States
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom
- Australian National Phenome Centre, Computational and Systems Medicine, Health Futures Institute, Perth, WA, Australia
- School of Biomedical Sciences, The University of Western Australia, Perth, WA, Australia
| | - Samantha Lodge
- Australian National Phenome Centre, Computational and Systems Medicine, Health Futures Institute, Perth, WA, Australia
| | - Drew Hall
- Australian National Phenome Centre, Computational and Systems Medicine, Health Futures Institute, Perth, WA, Australia
| | - Blair Z. Johnson
- School of Biomedical Sciences, The University of Western Australia, Perth, WA, Australia
| | - Sze How Bong
- Australian National Phenome Centre, Computational and Systems Medicine, Health Futures Institute, Perth, WA, Australia
| | - Luke Whiley
- Australian National Phenome Centre, Computational and Systems Medicine, Health Futures Institute, Perth, WA, Australia
- Perron Institute for Neurological and Translational Science, Nedlands, WA, Australia
- Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, Australia
| | - Nicola Gray
- Australian National Phenome Centre, Computational and Systems Medicine, Health Futures Institute, Perth, WA, Australia
- Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, Australia
| | - Vanessa S. Fear
- Translational Genetics, Telethon Kids Institute, Perth, WA, Australia
| | - Mark W. Fear
- School of Biomedical Sciences, The University of Western Australia, Perth, WA, Australia
| | - Elaine Holmes
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom
- Australian National Phenome Centre, Computational and Systems Medicine, Health Futures Institute, Perth, WA, Australia
- Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, Australia
| | - Fiona M. Wood
- School of Biomedical Sciences, The University of Western Australia, Perth, WA, Australia
- WA Department of Health, Burns Service of Western Australia, Perth, WA, Australia
| | - Jeremy K. Nicholson
- Australian National Phenome Centre, Computational and Systems Medicine, Health Futures Institute, Perth, WA, Australia
- Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, Australia
- Faculty of Medicine, Institute of Global Health Innovation, London, United Kingdom
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Expanding the Molecular Disturbances of Lipoproteins in Cardiometabolic Diseases: Lessons from Lipidomics. Diagnostics (Basel) 2023; 13:diagnostics13040721. [PMID: 36832218 PMCID: PMC9954993 DOI: 10.3390/diagnostics13040721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 01/28/2023] [Accepted: 02/13/2023] [Indexed: 02/17/2023] Open
Abstract
The increasing global burden of cardiometabolic diseases highlights the urgent clinical need for better personalized prediction and intervention strategies. Early diagnosis and prevention could greatly reduce the enormous socio-economic burden posed by these states. Plasma lipids including total cholesterol, triglycerides, HDL-C, and LDL-C have been at the center stage of the prediction and prevention strategies for cardiovascular disease; however, the bulk of cardiovascular disease events cannot be explained sufficiently by these lipid parameters. The shift from traditional serum lipid measurements that are poorly descriptive of the total serum lipidomic profile to comprehensive lipid profiling is an urgent need, since a wealth of metabolic information is currently underutilized in the clinical setting. The tremendous advances in the field of lipidomics in the last two decades has facilitated the research efforts to unravel the lipid dysregulation in cardiometabolic diseases, enabling the understanding of the underlying pathophysiological mechanisms and identification of predictive biomarkers beyond traditional lipids. This review presents an overview of the application of lipidomics in the study of serum lipoproteins in cardiometabolic diseases. Integrating the emerging multiomics with lipidomics holds great potential in moving toward this goal.
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Pharmacometabolomics for the Study of Lipid-Lowering Therapies: Opportunities and Challenges. Int J Mol Sci 2023; 24:ijms24043291. [PMID: 36834701 PMCID: PMC9960554 DOI: 10.3390/ijms24043291] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 01/30/2023] [Accepted: 02/02/2023] [Indexed: 02/11/2023] Open
Abstract
Lipid-lowering therapies are widely used to prevent the development of atherosclerotic cardiovascular disease (ASCVD) and related mortality worldwide. "Omics" technologies have been successfully applied in recent decades to investigate the mechanisms of action of these drugs, their pleiotropic effects, and their side effects, aiming to identify novel targets for future personalized medicine with an improvement of the efficacy and safety associated with the treatment. Pharmacometabolomics is a branch of metabolomics that is focused on the study of drug effects on metabolic pathways that are implicated in the variation of response to the treatment considering also the influences from a specific disease, environment, and concomitant pharmacological therapies. In this review, we summarized the most significant metabolomic studies on the effects of lipid-lowering therapies, including the most commonly used statins and fibrates to novel drugs or nutraceutical approaches. The integration of pharmacometabolomics data with the information obtained from the other "omics" approaches could help in the comprehension of the biological mechanisms underlying the use of lipid-lowering drugs in view of defining a precision medicine to improve the efficacy and reduce the side effects associated with the treatment.
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Bordeianu G, Mitu I, Stanescu RS, Ciobanu CP, Petrescu-Danila E, Marculescu AD, Dimitriu DC. Circulating Biomarkers for Laboratory Diagnostics of Atherosclerosis-Literature Review. Diagnostics (Basel) 2022; 12:diagnostics12123141. [PMID: 36553147 PMCID: PMC9777004 DOI: 10.3390/diagnostics12123141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 12/05/2022] [Accepted: 12/09/2022] [Indexed: 12/14/2022] Open
Abstract
Atherosclerosis is still considered a disease burden with long-term damaging processes towards the cardiovascular system. Evaluation of atherosclerotic stages requires the use of independent markers such as those already considered traditional, that remain the main therapeutic target for patients with atherosclerosis, together with emerging biomarkers. The challenge is finding models of predictive markers that are particularly tailored to detect and evaluate the evolution of incipient vascular lesions. Important advances have been made in this field, resulting in a more comprehensible and stronger linkage between the lipidic profile and the continuous inflammatory process. In this paper, we analysed the most recent data from the literature studying the molecular mechanisms of biomarkers and their involvement in the cascade of events that occur in the pathophysiology of atherosclerosis.
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Affiliation(s)
| | - Ivona Mitu
- Correspondence: (I.M.); (R.S.S.); Tel.: +40-75206-1747 (I.M.)
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The benefits of measuring the size and number of lipoprotein particles for cardiovascular risk prediction: A systematic review and meta-analysis. CLÍNICA E INVESTIGACIÓN EN ARTERIOSCLEROSIS 2022:S0214-9168(22)00134-6. [PMID: 36522243 DOI: 10.1016/j.arteri.2022.11.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 11/10/2022] [Accepted: 11/14/2022] [Indexed: 12/15/2022]
Abstract
OBJECTIVE Cardiovascular risk (CVR) is conventionally calculated by measuring the total cholesterol content of high-density lipoproteins (HDL) and low-density lipoproteins (LDL). The purpose of this systematic review was to assess the CVR associated with LDL and HDL particle size and number as determined by nuclear magnetic resonance (NMR) spectroscopy. MATERIAL AND METHODS A literature search was performed using the electronic databases MEDLINE and Scopus. All cohort and case-control studies published before January 1, 2019 that met the following inclusion criteria were included: HDL-P, LDL-P, HDL-Z and/or LDL-Z measured by NMR spectroscopy; cardiovascular event as an outcome variable; risk of cardiovascular events expressed as odds ratios or hazard ratios; only adult patients. A meta-analysis was performed for each exposure variable (4 for LDL and 5 for HDL) and for each exposure measure (highest versus lowest quartile and 1-standard deviation increment). RESULTS This review included 24 studies. Number of LDL particles was directly associated with CVR: risk increased by 28% with each standard deviation increment. LDL particle size was inversely and significantly associated with CVR: each standard deviation increment corresponded to an 8% risk reduction. CVR increased by 12% with each standard deviation increase in number of small LDL particles. HD, particle number and size were inversely associated with CVR. CONCLUSION Larger particle size provided greater protection, although this relationship was inconsistent between studies. Larger number of LDL particles and smaller LDL particle size are associated with increased CVR. Risk decreases with increasing number and size of HDL particles.
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Zhou Y, Chen J, Li S, Chen A, Dai C, Liu M, Lu D, Chen Z, Wang X, Qian J, Ge J. Prognostic implication of lipidomics in patients with coronary total occlusion undergoing PCI. Eur J Clin Invest 2022; 52:e13826. [PMID: 35723949 PMCID: PMC9786902 DOI: 10.1111/eci.13826] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 06/17/2022] [Indexed: 12/30/2022]
Abstract
BACKGROUND Predictors of prognosis in patients with coronary chronic total occlusion (CTO) undergoing elective percutaneous coronary intervention (PCI) have remained lacking. Lipidomic profiling enables researchers to associate lipid species with disease progression and may improve the prediction of cardiovascular events. METHODS In the present study, 781 lipids were measured by targeted lipidomic profiling in 350 individuals (50 healthy controls, 50 patients with coronary artery disease and 250 patients with CTO). L1-regularized logistic regression was used to identify lipid species associated with adverse cardiovascular events and create predicting models, which were verified by 10-fold cross-validation (200 repeats). Comparisons were made between a traditional model constructed with clinical characteristics alone and a combined model built with both lipidomic data and traditional factors. RESULTS Twenty-four lipid species were dysregulated exclusively in patients with CTO, most of which belonged to sphingomyelin (SM) and triacylglycerol (TAG). Compared with traditional risk factors, new model combining lipids and traditional factors had significantly improved performance in predicting adverse cardiovascular events in CTO patients after PCI (area under the curve, 0.870 vs. 0.726, p < .05; Akaike information criterion, 129 versus 156; net reclassification improvement, 0.312, p < .001; integrated discrimination improvement, 0.244, p < .001). Nomogram was built based on the incorporated model and proved efficient by Kaplan-Meier method. CONCLUSIONS Lipidomic profiling revealed lipid species which may participate in the formation of CTO and could contribute to the risk stratification in CTO patients undergoing PCI.
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Affiliation(s)
- You Zhou
- Department of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University; National Clinical Research Center for Interventional Medicine; Shanghai Clinical Research Center for Interventional Medicine, Shanghai, People's Republic of China
| | - Jinxiang Chen
- Department of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University; National Clinical Research Center for Interventional Medicine; Shanghai Clinical Research Center for Interventional Medicine, Shanghai, People's Republic of China
| | - Su Li
- Department of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University; National Clinical Research Center for Interventional Medicine; Shanghai Clinical Research Center for Interventional Medicine, Shanghai, People's Republic of China
| | - Ao Chen
- Department of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University; National Clinical Research Center for Interventional Medicine; Shanghai Clinical Research Center for Interventional Medicine, Shanghai, People's Republic of China
| | - Chunfeng Dai
- Department of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University; National Clinical Research Center for Interventional Medicine; Shanghai Clinical Research Center for Interventional Medicine, Shanghai, People's Republic of China
| | - Muyin Liu
- Department of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University; National Clinical Research Center for Interventional Medicine; Shanghai Clinical Research Center for Interventional Medicine, Shanghai, People's Republic of China
| | - Danbo Lu
- Department of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University; National Clinical Research Center for Interventional Medicine; Shanghai Clinical Research Center for Interventional Medicine, Shanghai, People's Republic of China
| | - Zhangwei Chen
- Department of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University; National Clinical Research Center for Interventional Medicine; Shanghai Clinical Research Center for Interventional Medicine, Shanghai, People's Republic of China
| | - Xiangdong Wang
- Shanghai Institute of Clinical Bioinformatics, Fudan University Center of Clinical Bioinformatics; Shanghai Respiratory Research Institute, Shanghai, People's Republic of China
| | - Juying Qian
- Department of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University; National Clinical Research Center for Interventional Medicine; Shanghai Clinical Research Center for Interventional Medicine, Shanghai, People's Republic of China
| | - Junbo Ge
- Department of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University; National Clinical Research Center for Interventional Medicine; Shanghai Clinical Research Center for Interventional Medicine, Shanghai, People's Republic of China
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Kontogianni VG, Gerothanassis IP. Analytical and Structural Tools of Lipid Hydroperoxides: Present State and Future Perspectives. Molecules 2022; 27:2139. [PMID: 35408537 PMCID: PMC9000705 DOI: 10.3390/molecules27072139] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 03/20/2022] [Accepted: 03/22/2022] [Indexed: 11/17/2022] Open
Abstract
Mono- and polyunsaturated lipids are particularly susceptible to peroxidation, which results in the formation of lipid hydroperoxides (LOOHs) as primary nonradical-reaction products. LOOHs may undergo degradation to various products that have been implicated in vital biological reactions, and thus in the pathogenesis of various diseases. The structure elucidation and qualitative and quantitative analysis of lipid hydroperoxides are therefore of great importance. The objectives of the present review are to provide a critical analysis of various methods that have been widely applied, and more specifically on volumetric methods, applications of UV-visible, infrared, Raman/surface-enhanced Raman, fluorescence and chemiluminescence spectroscopies, chromatographic methods, hyphenated MS techniques, NMR and chromatographic methods, NMR spectroscopy in mixture analysis, structural investigations based on quantum chemical calculations of NMR parameters, applications in living cells, and metabolomics. Emphasis will be given to analytical and structural methods that can contribute significantly to the molecular basis of the chemical process involved in the formation of lipid hydroperoxides without the need for the isolation of the individual components. Furthermore, future developments in the field will be discussed.
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Affiliation(s)
- Vassiliki G. Kontogianni
- Section of Organic Chemistry and Biochemistry, Department of Chemistry, University of Ioannina, GR-45110 Ioannina, Greece
| | - Ioannis P. Gerothanassis
- Section of Organic Chemistry and Biochemistry, Department of Chemistry, University of Ioannina, GR-45110 Ioannina, Greece
- International Center for Chemical and Biological Sciences, H.E.J. Research Institute of Chemistry, University of Karachi, Karachi 75270, Pakistan
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The Application Value of Lipoprotein Particle Numbers in the Diagnosis of HBV-Related Hepatocellular Carcinoma with BCLC Stage 0-A. J Pers Med 2021; 11:jpm11111143. [PMID: 34834495 PMCID: PMC8617679 DOI: 10.3390/jpm11111143] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 10/29/2021] [Accepted: 11/01/2021] [Indexed: 01/02/2023] Open
Abstract
Early diagnosis is essential for improving the prognosis and survival of patients with hepatocellular carcinoma (HCC). This study aims to explore the clinical value of lipoprotein subfractions in the diagnosis of hepatitis B virus (HBV)-related HCC. Lipoprotein subfractions were detected by 1H-NMR spectroscopy, and the pattern-recognition method and binary logistic regression were performed to classify distinct serum profiles and construct prediction models for HCC diagnosis. Differentially expressed proteins associated with lipid metabolism were detected by LC-MS/MS, and the potential prognostic significance of the mRNA expression was evaluated by Kaplan–Meier survival analysis. The diagnostic panel constructed from the serum particle number of very-low-density lipoprotein (VLDL), intermediate-density lipoprotein (IDL), and low-density lipoprotein (LDL-1~LDL-6) achieved higher accuracy for the diagnosis of HBV-related HCC and HBV-related benign liver disease (LD) than that constructed from serum alpha-fetoprotein (AFP) alone in the training set (AUC: 0.850 vs. AUC: 0.831) and validation set (AUC: 0.926 vs. AUC: 0.833). Furthermore, the panel achieved good diagnostic performance in distinguishing AFP-negative HCC from AFP-negative LD (AUC: 0.773). We also found that lipoprotein lipase (LPL) transcript levels showed a significant increase in cancerous tissue and that high expression was significantly positively correlated with the poor prognosis of patients. Our research provides new insight for the development of diagnostic biomarkers for HCC, and abnormal lipid metabolism and LPL-mediated abnormal serum lipoprotein metabolism may be important factors in promoting HCC development.
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The Effects of Calculated Remnant-Like Particle Cholesterol on Incident Cardiovascular Disease: Insights from a General Chinese Population. J Clin Med 2021; 10:jcm10153388. [PMID: 34362168 PMCID: PMC8348383 DOI: 10.3390/jcm10153388] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Revised: 07/26/2021] [Accepted: 07/28/2021] [Indexed: 01/06/2023] Open
Abstract
Background: Growing evidence suggests that remnant cholesterol (RC) contributes to residual atherosclerotic cardiovascular disease (ASCVD) risk. However, the cutoff points to treat RC for reducing ASCVD are still unknown. This study aimed to investigate the relationships between RC and combined cardiovascular diseases (CVDs) in a general China cohort, with 11,956 subjects aged ≥ 35 years. Methods: Baseline RC was estimated with the Friedewald formula for 8782 subjects. The outcome was the incidence of combined CVD, including fatal and nonfatal stroke and coronary heart disease (CHD). The Cox proportional hazards model was used to calculate hazard ratios (HRs) with 95% confidence intervals. The restricted cubic spline (RCS) model was used to evaluate the dose–response relationship between continuous RC and the natural log of HRs. Results: After a median follow-up of 4.66 years, 431 CVD events occurred. In the Cox proportional models, participants with a high level of categorial RC had a significantly higher risk for combined CVD (HR: 1.37; 95% CI: 1.07–1.74) and CHD (HR: 1.63; 95% CI: 1.06–2.53), compared to those with a medium level of RC. In the stratification analyses, a high level of RC significantly increased combined CVD risk for subgroups females, age < 65 years, noncurrent smokers, noncurrent drinkers, normal weight, renal dysfunction, and no hyperuricemia. The same trends were found for CHD among subgroups males, age < 65 years, overweight, renal dysfunction, and no hyperuricemia; stroke among subgroup females. In RCS models, a significant linear association between RC and combined CVD and a nonlinear association between RC and CHD resulted. The risk of outcomes was relatively flat until 0.84 mmol/L of RC and increased rapidly afterwards, with an HR of 1.308 (1.102 to 1.553) for combined CVD and 1.411 (1.061 to 1.876) for CHD. Stratified analyses showed a significant nonlinear association between RC and CVD outcomes in the subgroup aged < 65 years or the diabetes subgroup. Conclusions: In this large-scale and long-term follow-up cohort study, participants with higher RC levels had a significantly worse prognosis, especially for the subgroup aged 35–65 years or the diabetes mellitus subgroup.
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Tereshkina YA, Kostryukova LV, Torkhovskaya TI, Khudoklinova YY, Tikhonova EG. [Plasma high density lipoproteins phospholipds as an indirect indicator of their cholesterol efflux capacity - new suspected atherosclerosis risk factor]. BIOMEDIT︠S︡INSKAI︠A︡ KHIMII︠A︡ 2021; 67:119-129. [PMID: 33860768 DOI: 10.18097/pbmc20216702119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
High density lipoproteins (HDL) are a unique natural structure, protecting the body from the development of atherosclerotic vascular lesions and cardiovascular diseases due to this ability to remove cholesterol from cells. Plasma HDL level estimated by their cholesterol content, is a common lipid parameter, and its decrease is considered as an established atherosclerosis risk factor. However, a number of studies have shown the absence of positive clinical effects after drug-induced increase in HDL cholesterol. There is increasing evidence that not only HDL concentration, but also HDL properties, considered in this review are important. Many studies showed the decrease of HDL cholesterol efflux capacity in patients with coronary heart diseases and its association with disease severity. Some authors consider a decrease of this HDL capacity as a new additional risk factor of atherosclerosis. The review summarizes existing information on various protein and lipid components of HDL with a primary emphasis on the HDL. Special attention is paid to correlation between the HDL cholesterol efflux capacity and HDL phospholipids and the ratio "phospholipids/free cholesterol". The accumulated information indicates importance of evaluation in the HDL fraction not only in terms of their cholesterol, but also phospholipids. In addition to the traditionally used lipid criteria, this would provide more comprehensive information about the activity of the reverse cholesterol transport process in the body and could contribute to the targeted correction of the detected disorders.
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Cholesterol was identified as a biomarker in human melanocytic nevi using DESI and DESI/PI mass spectrometry imaging. Talanta 2021; 231:122380. [PMID: 33965043 DOI: 10.1016/j.talanta.2021.122380] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Revised: 03/22/2021] [Accepted: 03/27/2021] [Indexed: 01/16/2023]
Abstract
The rapid differentiation between diseased tissue and healthy normal tissue is of great importance for the intraoperative diagnosis. Herein, desorption electrospray ionization (DESI) and DESI/post-photoionization (DESI/PI) mass spectrometry imaging were combined to in situ visualize the distribution of biochemicals within the tissue regions of human melanocytic nevi under the ambient condition with a spatial resolution of around 200 μm. Plenty of polar and nonpolar lipids were found to be specifically distributed in melanocytic nevi with statistical significance and could be used to differentiate the healthy normal tissue and melanocytic nevi. Cholesterol was further confirmed to be a potential biomarker for melanocytic nevi diagnosis by multivariate statistical analysis and immunohistochemistry of 3-hydroxy-3-methylglutaryl-CoA reductase (HMGCR) and translocator protein (TSPO) enzymes. This work provides a visual way for the diagnosis of human melanocytic nevi by lipid profiling, which benefits the understanding of the pathological mechanism of melanocytic nevi and provides a new insight to control melanin growth from the synthesis, transport, and metabolism of cholesterol.
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Reis A, de Freitas V, Sanchez-Quesada JL, Barros AS, Diaz SO, Leite-Moreira A. Lipidomics in Cardiovascular Diseases. SYSTEMS MEDICINE 2021. [DOI: 10.1016/b978-0-12-801238-3.11598-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022] Open
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Xu JJ, Song Y, Jiang P, Jiang L, Zhao XY, Gao Z, Li JX, Qiao SB, Gao RL, Yang YJ, Zhang Y, Xu B, Yuan JQ. Eff ects of metabolic syndrome on onset age and long-term outcomes in patients with acute coronary syndrome. World J Emerg Med 2021; 12:36-41. [PMID: 33505548 DOI: 10.5847/wjem.j.1920-8642.2021.01.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND We aim to investigate effects of metabolic syndrome on onset age and long-term outcomes in patients with acute coronary syndrome (ACS). METHODS Patients with ACS (n=6,431) who underwent percutaneous coronary intervention from January to December 2013 were enrolled. After excluding patients with previous coronary artery disease, 1,558 patients were diagnosed with early-onset ACS (men aged ≤50 years; women aged ≤60 years) and 3,044 patients with late-onset ACS. Baseline characteristics and five-year clinical outcomes were measured. RESULTS Body mass index, triglyceride, low-density lipoprotein cholesterol, and uric acid concentrations were significantly higher, while the high-density lipoprotein cholesterol (HDL-C) concentration was lower in the early-onset ACS group (P<0.001). Multivariate logistic regression revealed obesity (odds ratio [OR] 1.590, 95% confidence interval [CI] 1.345-1.881), hypertriglyceridemia (OR 1.403, 95% CI 1.185-1.660), and low HDL-C (OR 1.464, 95% CI 1.231-1.742) as independent risk factors for early-onset ACS (all P<0.001). The five-year follow-up showed that the incidences of all cause death (1.5% vs. 3.8%, P<0.001), cardiac death (1.1% vs. 2.0%, P=0.023), and recurrent stroke (2.2% vs. 4.2%, P<0.001) were lower, while bleeding events were more frequent in the early-onset ACS group. A subgroup analysis showed higher incidences of recurrent myocardial infarction (MI) and revascularization in patients with early-onset ACS and metabolic syndrome. CONCLUSIONS Obesity, hypertriglyceridemia, and lower HDL-C level are independent risk factors for early-onset ACS, recurrent MI, and revascularization. The control of metabolic syndrome may reduce the incidence of early-onset ACS and improve the long-term prognosis.
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Affiliation(s)
- Jing-Jing Xu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Ying Song
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Ping Jiang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Lin Jiang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Xue-Yan Zhao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Zhan Gao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Jian-Xin Li
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Shu-Bin Qiao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Run-Lin Gao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Yue-Jin Yang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Yin Zhang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Bo Xu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Jin-Qing Yuan
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
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Pappa E, Elisaf MS, Kostara C, Bairaktari E, Tsimihodimos VK. Cardioprotective Properties of HDL: Structural and Functional Considerations. Curr Med Chem 2020; 27:2964-2978. [PMID: 30714519 DOI: 10.2174/0929867326666190201142321] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Revised: 12/03/2018] [Accepted: 12/11/2018] [Indexed: 11/22/2022]
Abstract
BACKGROUND As Mendelian Randomization (MR) studies showed no effect of variants altering HDL-cholesterol (HDL-C) levels concerning Cardiovascular Disease (CVD) and novel therapeutic interventions aiming to raise HDL-C resulted to futility, the usefulness of HDL-C is unclear. OBJECTIVE As the role of HDL-C is currently doubtful, it is suggested that the atheroprotective functions of HDLs can be attributed to the number of HDL particles, and their characteristics including their lipid and protein components. Scientific interest has focused on HDL function and on the causes of rendering HDL particles dysfunctional, whereas the relevance of HDL subclasses with CVD remains controversial. METHODS The present review discusses changes in quality as much as in quantity of HDL in pathological conditions and the connection between HDL particle concentration and cardiovascular disease and mortality. Emphasis is given to the recently available data concerning the cholesterol efflux capacity and the parameters that determine HDL functionality, as well as to recent investigations concerning the associations of HDL subclasses with cardiovascular mortality. RESULTS MR studies or pharmacological interventions targeting HDL-C are not in favor of the hypothesis of HDL-C levels and the relationship with CVD. The search of biomarkers that relate with HDL functionality is needed. Similarly, HDL particle size and number exhibit controversial data in the context of CVD and further studies are needed. CONCLUSION There is no room for the old concept of HDL as a silver bullet,as HDL-C cannot be considered a robust marker and does not reflect the importance of HDL particle size and number. Elucidation of the complex HDL system, as well as the finding of biomarkers, will allow the development of any HDL-targeted therapy.
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Affiliation(s)
- Eleni Pappa
- Department of Internal Medicine, Medical University of Ioannina, Ioannina, Greece
| | - Moses S Elisaf
- Department of Internal Medicine, Medical University of Ioannina, Ioannina, Greece
| | - Christina Kostara
- Laboratory of Clinical Chemistry, School of Medicine, University of Ioannina, Ioannina, Greece
| | - Eleni Bairaktari
- Laboratory of Clinical Chemistry, School of Medicine, University of Ioannina, Ioannina, Greece
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Ding M, Rexrode KM. A Review of Lipidomics of Cardiovascular Disease Highlights the Importance of Isolating Lipoproteins. Metabolites 2020; 10:metabo10040163. [PMID: 32340170 PMCID: PMC7240942 DOI: 10.3390/metabo10040163] [Citation(s) in RCA: 64] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 04/19/2020] [Accepted: 04/21/2020] [Indexed: 12/11/2022] Open
Abstract
Cutting-edge lipidomic profiling measures hundreds or even thousands of lipids in plasma and is increasingly used to investigate mechanisms of cardiovascular disease (CVD). In this review, we introduce lipidomic techniques, describe distributions of lipids across lipoproteins, and summarize findings on the association of lipids with CVD based on lipidomics. The main findings of 16 cohort studies were that, independent of total and high-density lipoprotein cholesterol (HDL-c), ceramides (d18:1/16:0, d18:1/18:0, and d18:1/24:1) and phosphatidylcholines (PCs) containing saturated and monounsaturated fatty acyl chains are positively associated with risks of CVD outcomes, while PCs containing polyunsaturated fatty acyl chains (PUFA) are inversely associated with risks of CVD outcomes. Lysophosphatidylcholines (LPCs) may be positively associated with risks of CVD outcomes. Interestingly, the distributions of the identified lipids vary across lipoproteins: LPCs are primarily contained in HDLs, ceramides are mainly contained in low-density lipoproteins (LDLs), and PCs are distributed in both HDLs and LDLs. Thus, the potential mechanism behind previous findings may be related to the effect of the identified lipids on the biological functions of HDLs and LDLs. Only eight studies on the lipidomics of HDL and non-HDL particles and CVD outcomes have been conducted, which showed that higher triglycerides (TAGs), lower PUFA, lower phospholipids, and lower sphingomyelin content in HDLs might be associated with a higher risk of coronary heart disease (CHD). However, the generalizability of these studies is a major concern, given that they used case-control or cross-sectional designs in hospital settings, included a very small number of participants, and did not correct for multiple testing or adjust for blood lipids such as HDL-c, low-density lipoprotein cholesterol (LDL-c), or TAGs. Overall, findings from the literature highlight the importance of research on lipidomics of lipoproteins to enhance our understanding of the mechanism of the association between the identified lipids and the risk of CVD and allow the identification of novel lipid biomarkers in HDLs and LDLs, independent of HDL-c and LDL-c. Lipidomic techniques show the feasibility of this exciting research direction, and the lack of high-quality epidemiological studies warrants well-designed prospective cohort studies.
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Affiliation(s)
- Ming Ding
- Department of Nutrition, Harvard School of Public Health, Boston, MA 02115, USA
- Correspondence:
| | - Kathryn M. Rexrode
- Division of Women’s Health, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA;
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18
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Pizarro C, Esteban-Díez I, Espinosa M, Rodríguez-Royo F, González-Sáiz JM. An NMR-based lipidomic approach to identify Parkinson's disease-stage specific lipoprotein-lipid signatures in plasma. Analyst 2019; 144:1334-1344. [PMID: 30564825 DOI: 10.1039/c8an01778f] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Disturbances in lipid composition and lipoproteins metabolism can play a crucial role in the pathogenesis of Parkinson's disease (PD) and other neurodegenerative diseases. The lipidomic strategy proposed here involves lipoprotein profiling using NMR spectroscopy and multivariate data pre-processing and analysis tools on 94 plasma samples (belonging to 38 early-stage PD patients, 10 PD-related dementia patients, 23 persons with Alzheimer's dementia, and 23 healthy control subjects) to firstly differentiate PD patients (irrespective of the stage of the disease) from persons with Alzheimer's disease (AD) as well as from controls, and then to discriminate among PD patients according to disease severity. The whole data set was subdivided into 86 training and 8 external test samples for validation purposes. A two-step classification scheme, based on linear discriminant analysis with variable selection accomplished by a stepwise orthogonalisation procedure, was proposed to optimise classification performance. Careful pre-processing of NMR signals was crucial to ensure data set quality. A total of 30 chemical shift buckets enabled differentiation between PD patients (regardless of disease severity), AD and control subjects, providing classification, cross-validation and external prediction rates of 100% in all cases. Only 15 variables were required to further discriminate between early-stage PD and PD-related dementia, again with 100% correct classifications, and internal/external predictions. The simplicity and effectiveness of the classification methodology proposed support the use of NMR spectroscopy, in combination with chemometrics, as a viable alternative diagnostic tool to conventional PD clinical diagnosis.
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Affiliation(s)
- Consuelo Pizarro
- Department of Chemistry, University of La Rioja, E-26006 Logroño, Spain.
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19
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Torkhovskaya TI, Kudinov VA, Zakharova TS, Ipatova OM, Markin SS. High Density Lipoproteins Phosphatidylcholine as a Regulator of Reverse Cholesterol Transport. RUSSIAN JOURNAL OF BIOORGANIC CHEMISTRY 2019. [DOI: 10.1134/s1068162018060092] [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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20
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Barbosa BS, Martins LG, Costa TBBC, Cruz G, Tasic L. Qualitative and Quantitative NMR Approaches in Blood Serum Lipidomics. Methods Mol Biol 2018; 1735:365-379. [PMID: 29380328 DOI: 10.1007/978-1-4939-7614-0_25] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Nuclear magnetic resonance (NMR) spectroscopy in combination with chemometrics can be applied in the analysis of complex biological samples in many ways. For example, we can analyze lipids, elucidate their structures, determine their nutritional values, and determine their distribution in blood serum. As lipids are not soluble in water, they are transported in blood as lipid-rich self-assembled particles, divided into different density assemblies from high- to very-low-density lipoproteins (HDL to VLDL), or by combining with serum proteins, such as albumins (human serum albumins (HSA)). Therefore, serum lipids can be analyzed as they are using only a 1:1 (v/v) dilution with a buffer or deuterated water prior to analysis by applying 1H NMR or 1H NMR edited-by-diffusion techniques. Alternatively, lipids can be extracted from the serum using liquid partition equilibrium and then analyzed using liquid-state NMR techniques. Our chapter describes protocols that are used for extraction of blood serum lipids and their quantitative 1H NMR (1H qNMR) analysis in lipid extracts as well as 1H NMR edited by diffusion for direct blood serum lipid analysis.
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Affiliation(s)
- Banny Silva Barbosa
- Laboratório de Química Biológica, Departamento de Química Orgânica, Instituto de Química, Universidade Estadual de Campinas, Campinas, SP, Brazil
| | - Lucas Gelain Martins
- Laboratório de Química Biológica, Departamento de Química Orgânica, Instituto de Química, Universidade Estadual de Campinas, Campinas, SP, Brazil
| | - Tássia B B C Costa
- Laboratório de Química Biológica, Departamento de Química Orgânica, Instituto de Química, Universidade Estadual de Campinas, Campinas, SP, Brazil
| | - Guilherme Cruz
- Laboratório de Química Biológica, Departamento de Química Orgânica, Instituto de Química, Universidade Estadual de Campinas, Campinas, SP, Brazil
| | - Ljubica Tasic
- Laboratório de Química Biológica, Departamento de Química Orgânica, Instituto de Química, Universidade Estadual de Campinas, Campinas, SP, Brazil.
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Alexandri E, Ahmed R, Siddiqui H, Choudhary MI, Tsiafoulis CG, Gerothanassis IP. High Resolution NMR Spectroscopy as a Structural and Analytical Tool for Unsaturated Lipids in Solution. Molecules 2017; 22:E1663. [PMID: 28981459 PMCID: PMC6151582 DOI: 10.3390/molecules22101663] [Citation(s) in RCA: 124] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2017] [Revised: 09/28/2017] [Accepted: 10/01/2017] [Indexed: 12/13/2022] Open
Abstract
Mono- and polyunsaturated lipids are widely distributed in Nature, and are structurally and functionally a diverse class of molecules with a variety of physicochemical, biological, medicinal and nutritional properties. High resolution NMR spectroscopic techniques including 1H-, 13C- and 31P-NMR have been successfully employed as a structural and analytical tool for unsaturated lipids. The objective of this review article is to provide: (i) an overview of the critical 1H-, 13C- and 31P-NMR parameters for structural and analytical investigations; (ii) an overview of various 1D and 2D NMR techniques that have been used for resonance assignments; (iii) selected analytical and structural studies with emphasis in the identification of major and minor unsaturated fatty acids in complex lipid extracts without the need for the isolation of the individual components; (iv) selected investigations of oxidation products of lipids; (v) applications in the emerging field of lipidomics; (vi) studies of protein-lipid interactions at a molecular level; (vii) practical considerations and (viii) an overview of future developments in the field.
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Affiliation(s)
- Eleni Alexandri
- Section of Organic Chemistry and Biochemistry, Department of Chemistry, University of Ioannina, GR-45110 Ioannina, Greece.
| | - Raheel Ahmed
- H.E.J. Research Institute of Chemistry, International Center for Chemical and Biological Sciences, University of Karachi, Karachi 75270, Pakistan.
| | - Hina Siddiqui
- H.E.J. Research Institute of Chemistry, International Center for Chemical and Biological Sciences, University of Karachi, Karachi 75270, Pakistan.
| | - Muhammad I Choudhary
- Department of Biochemistry, Faculty of Science, King Abdulaziz University, Jeddah 214412, Saudi Arabia.
| | | | - Ioannis P Gerothanassis
- Section of Organic Chemistry and Biochemistry, Department of Chemistry, University of Ioannina, GR-45110 Ioannina, Greece.
- H.E.J. Research Institute of Chemistry, International Center for Chemical and Biological Sciences, University of Karachi, Karachi 75270, Pakistan.
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22
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Kubicek-Sutherland JZ, Vu DM, Mendez HM, Jakhar S, Mukundan H. Detection of Lipid and Amphiphilic Biomarkers for Disease Diagnostics. BIOSENSORS-BASEL 2017; 7:bios7030025. [PMID: 28677660 PMCID: PMC5618031 DOI: 10.3390/bios7030025] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2017] [Revised: 06/27/2017] [Accepted: 06/30/2017] [Indexed: 12/24/2022]
Abstract
Rapid diagnosis is crucial to effectively treating any disease. Biological markers, or biomarkers, have been widely used to diagnose a variety of infectious and non-infectious diseases. The detection of biomarkers in patient samples can also provide valuable information regarding progression and prognosis. Interestingly, many such biomarkers are composed of lipids, and are amphiphilic in biochemistry, which leads them to be often sequestered by host carriers. Such sequestration enhances the difficulty of developing sensitive and accurate sensors for these targets. Many of the physiologically relevant molecules involved in pathogenesis and disease are indeed amphiphilic. This chemical property is likely essential for their biological function, but also makes them challenging to detect and quantify in vitro. In order to understand pathogenesis and disease progression while developing effective diagnostics, it is important to account for the biochemistry of lipid and amphiphilic biomarkers when creating novel techniques for the quantitative measurement of these targets. Here, we review techniques and methods used to detect lipid and amphiphilic biomarkers associated with disease, as well as their feasibility for use as diagnostic targets, highlighting the significance of their biochemical properties in the design and execution of laboratory and diagnostic strategies. The biochemistry of biological molecules is clearly relevant to their physiological function, and calling out the need for consideration of this feature in their study, and use as vaccine, diagnostic and therapeutic targets is the overarching motivation for this review.
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Affiliation(s)
- Jessica Z Kubicek-Sutherland
- Physical Chemistry and Applied Spectroscopy, Chemistry Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
| | - Dung M Vu
- Physical Chemistry and Applied Spectroscopy, Chemistry Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
| | - Heather M Mendez
- Department of Chemical and Biological Engineering, University of New Mexico, Albuquerque, NM 87131, USA.
- The New Mexico Consortium, Los Alamos, NM 87544, USA.
| | - Shailja Jakhar
- Physical Chemistry and Applied Spectroscopy, Chemistry Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
| | - Harshini Mukundan
- Physical Chemistry and Applied Spectroscopy, Chemistry Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
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23
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Kostara CE, Tsimihodimos V, Elisaf MS, Bairaktari ET. NMR-Based Lipid Profiling of High Density Lipoprotein Particles in Healthy Subjects with Low, Normal, and Elevated HDL-Cholesterol. J Proteome Res 2017; 16:1605-1616. [DOI: 10.1021/acs.jproteome.6b00975] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Christina E. Kostara
- Laboratory
of Clinical Chemistry and ‡Department of Internal Medicine,
Faculty of Medicine, School of Health Sciences, University of Ioannina, 451 10, Ioannina, Greece
| | - Vasilis Tsimihodimos
- Laboratory
of Clinical Chemistry and ‡Department of Internal Medicine,
Faculty of Medicine, School of Health Sciences, University of Ioannina, 451 10, Ioannina, Greece
| | - Moses S. Elisaf
- Laboratory
of Clinical Chemistry and ‡Department of Internal Medicine,
Faculty of Medicine, School of Health Sciences, University of Ioannina, 451 10, Ioannina, Greece
| | - Eleni T. Bairaktari
- Laboratory
of Clinical Chemistry and ‡Department of Internal Medicine,
Faculty of Medicine, School of Health Sciences, University of Ioannina, 451 10, Ioannina, Greece
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25
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Ferguson JF, Allayee H, Gerszten RE, Ideraabdullah F, Kris-Etherton PM, Ordovás JM, Rimm EB, Wang TJ, Bennett BJ. Nutrigenomics, the Microbiome, and Gene-Environment Interactions: New Directions in Cardiovascular Disease Research, Prevention, and Treatment: A Scientific Statement From the American Heart Association. ACTA ACUST UNITED AC 2016; 9:291-313. [PMID: 27095829 DOI: 10.1161/hcg.0000000000000030] [Citation(s) in RCA: 70] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Cardiometabolic diseases are the leading cause of death worldwide and are strongly linked to both genetic and nutritional factors. The field of nutrigenomics encompasses multiple approaches aimed at understanding the effects of diet on health or disease development, including nutrigenetic studies investigating the relationship between genetic variants and diet in modulating cardiometabolic risk, as well as the effects of dietary components on multiple "omic" measures, including transcriptomics, metabolomics, proteomics, lipidomics, epigenetic modifications, and the microbiome. Here, we describe the current state of the field of nutrigenomics with respect to cardiometabolic disease research and outline a direction for the integration of multiple omics techniques in future nutrigenomic studies aimed at understanding mechanisms and developing new therapeutic options for cardiometabolic disease treatment and prevention.
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26
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Flote VG, Vettukattil R, Bathen TF, Egeland T, McTiernan A, Frydenberg H, Husøy A, Finstad SE, Lømo J, Garred Ø, Schlichting E, Wist EA, Thune I. Lipoprotein subfractions by nuclear magnetic resonance are associated with tumor characteristics in breast cancer. Lipids Health Dis 2016; 15:56. [PMID: 26970778 PMCID: PMC4789271 DOI: 10.1186/s12944-016-0225-4] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2016] [Accepted: 03/08/2016] [Indexed: 12/25/2022] Open
Abstract
Background High-Density Lipoprotein (HDL)-cholesterol, has been associated with breast cancer development, but the association is under debate, and whether lipoprotein subfractions is associated with breast tumor characteristics remains unclear. Methods Among 56 women with newly diagnosed invasive breast cancer stage I/II, aged 35–75 years, pre-surgery overnight fasting serum concentrations of lipids were assessed, and body mass index (BMI) was measured. All breast tumors were immunohistochemically examined in the surgical specimen. Serum metabolomics of lipoprotein subfractions and their contents of cholesterol, free cholesterol, phospholipids, apolipoprotein-A1 and apolipoprotein-A2, were assessed using nuclear magnetic resonance. Principal component analysis, partial least square analysis, and uni- and multivariable linear regression models were used to study whether lipoprotein subfractions were associated with breast cancer tumor characteristics. Results The breast cancer patients had following means: age at diagnosis: 55.1 years; BMI: 25.1 kg/m2; total-Cholesterol: 5.74 mmol/L; HDL-Cholesterol: 1.78 mmol/L; Low-Density Lipoprotein (LDL)-Cholesterol: 3.45 mmol/L; triglycerides: 1.18 mmol/L. The mean tumor size was 16.4 mm, and the mean Ki67 hotspot index was 26.5 %. Most (93 %) of the patients had estrogen receptor (ER) positive tumors (≥1 % ER+), and 82 % had progesterone receptor (PgR) positive tumors (≥10 % PgR+). Several HDL subfraction contents were strongly associated with PgR expression: Apolipoprotein-A1 (β 0.46, CI 0.22–0.69, p < 0.001), HDL cholesterol (β 0.95, CI 0.51–1.39, p < 0.001), HDL free cholesterol (β 2.88, CI 1.28–4.48, p = 0.001), HDL phospholipids (β 0.70, CI 0.36–1.04, p < 0.001). Similar results were observed for the subfractions of HDL1-3. We observed inverse associations between HDL phospholipids and Ki67 (β -0.25, p = 0.008), and in particular between HDL1’s contents of cholesterol, phospholipids, apolipoprotein-A1, apolipoprotein-A2 and Ki67. No association was observed between lipoproteins and ER expression. Conclusion Our findings hypothesize associations between different lipoprotein subfractions, and PgR expression, and Ki 67 % in breast tumors. These findings may have clinical implications, but require confirmation in larger studies. Electronic supplementary material The online version of this article (doi:10.1186/s12944-016-0225-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Vidar G Flote
- The Cancer Centre, Oslo University Hospital HF, N-0424, Oslo, Norway.
| | - Riyas Vettukattil
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Tone F Bathen
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Thore Egeland
- Department of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, N-1432, Aas, Norway
| | - Anne McTiernan
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Hanne Frydenberg
- The Cancer Centre, Oslo University Hospital HF, N-0424, Oslo, Norway
| | - Anders Husøy
- The Cancer Centre, Oslo University Hospital HF, N-0424, Oslo, Norway
| | - Sissi E Finstad
- Norwegian Directorate of Health, PO Box 7000, St. Olavs plass, N-0130, Oslo, Norway
| | - Jon Lømo
- Department of Pathology, Oslo University Hospital, N-0424, Oslo, Norway
| | - Øystein Garred
- Department of Pathology, Oslo University Hospital, N-0424, Oslo, Norway
| | - Ellen Schlichting
- Department of Breast and Endocrine Surgery, Oslo University Hospital, N-0424, Oslo, Norway
| | - Erik A Wist
- The Cancer Centre, Oslo University Hospital HF, N-0424, Oslo, Norway
| | - Inger Thune
- The Cancer Centre, Oslo University Hospital HF, N-0424, Oslo, Norway.,Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, N-9037, Tromsø, Norway
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Sutter I, Klingenberg R, Othman A, Rohrer L, Landmesser U, Heg D, Rodondi N, Mach F, Windecker S, Matter CM, Lüscher TF, von Eckardstein A, Hornemann T. Decreased phosphatidylcholine plasmalogens – A putative novel lipid signature in patients with stable coronary artery disease and acute myocardial infarction. Atherosclerosis 2016; 246:130-40. [DOI: 10.1016/j.atherosclerosis.2016.01.003] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2015] [Revised: 12/30/2015] [Accepted: 01/03/2016] [Indexed: 10/22/2022]
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Subramani E, Jothiramajayam M, Dutta M, Chakravorty D, Joshi M, Srivastava S, Mukherjee A, Datta Ray C, Chakravarty BN, Chaudhury K. NMR-based metabonomics for understanding the influence of dormant female genital tuberculosis on metabolism of the human endometrium. Hum Reprod 2016; 31:854-65. [PMID: 26851602 DOI: 10.1093/humrep/dew003] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2015] [Accepted: 01/05/2016] [Indexed: 01/13/2023] Open
Abstract
STUDY QUESTION Does investigation of metabolic perturbations in endometrial tissue of women with dormant genital tuberculosis (GTB) during the window of implantation (WOI) assist in improving the understanding of endometrial receptivity? SUMMARY ANSWER In dormant GTB cases significant alterations in endometrial tissue metabolites occur, largely related to energy metabolism and amino acid biosynthesis in dormant GTB cases. WHAT IS KNOWN ALREADY As an intracellular pathogen, Mycobacterium tuberculosis strongly influences the metabolism of host cells causing metabolic dysregulation. It is also accepted that dormant GTB impairs the receptive status of the endometrium. Global metabolic profiling is useful for an understanding of disease progression and distinguishing between diseased and non-diseased groups. STUDY DESIGN, SIZE, DURATION Endometrial tissue samples were collected from patients reporting at the tertiary infertility care center during the period September 2011-March 2013. Women having tested positive for GTB were considered as the study group (n = 24). Normal healthy women undergoing sterilization (n = 26) and unexplained infertile women with repeated IVF failure (n = 21) volunteered to participate as controls. PARTICIPANTS/MATERIALS, SETTING, METHODS Endometrial tissue samples were collected 6-10 days after confirmation of ovulation. PCR and BACTEC-460 culture were used for diagnosing GTB. Proton nuclear magnetic resonance (1H NMR) spectra of tissue were recorded using a 700 MHz Bruker Avance AV III spectrometer. Following phase and baseline correction of all NMR spectra by Bruker Topspin 2.1 software, spectral peak alignment of the data was performed. Multivariate analysis was applied to all spectra and individual metabolites identified and multiple correlation analysis was performed. MAIN RESULTS AND THE ROLE OF CHANCE Leucine, isoleucine, acetate, lactate, glutamate, glutamine, methionine, lysine, creatine, glycogen, glycine, proline and choline were found to be significantly increased (P < 0.05) in endometrial tissue of women with dormant GTB compared with unexplained infertile women with repeated implantation failure. Valine, citrate, succinate and aspartate were also observed to be significantly up-regulated (P < 0.01). Furthermore, a significant decrease in glucose (P < 0.05), threonine (P < 0.05), tyrosine (P < 0.01) and phenylalanine (P < 0.0001) was observed in women with dormant GTB. Pearson's correlation analysis between the expression of various endometrial receptivity markers and metabolites showed a significant negative correlation (-0.236 to -0.545, P < 0.05). Also, the metabolites were positively correlated with endometrial receptivity markers (0.207 to 0.618, P < 0.05). LIMITATIONS, REASONS FOR CAUTION It is often difficult to diagnose dormant GTB because it tends to exist without any clinical signs or symptoms. In addition, the diagnosis of GTB by culture remains a challenge due to low detection rates and its paucibacillary nature. Testing for prostate-specific antigen or the Y chromosome in order to account for the possible influences of recent exposure to semen on endometrial metabolism would be important. WIDER IMPLICATIONS OF THE FINDINGS The metabolic changes associated with the dormant tubercle infection are of potential relevance to clinicians for the treatment of dormant GTB-related infertility. STUDY FUNDING/COMPETING INTERESTS Government of India, Indian Council of Medical Research. There are no conflicts of interest.
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Affiliation(s)
- E Subramani
- School of Medical Science and Technology, Indian Institute of Technology Kharagpur, Kharagpur 721302, India
| | - M Jothiramajayam
- Cell Biology and Genetic Toxicology Laboratory, Centre of Advanced study, Department of Botany, University of Calcutta, Kolkata 700019, India
| | - M Dutta
- School of Medical Science and Technology, Indian Institute of Technology Kharagpur, Kharagpur 721302, India
| | - D Chakravorty
- School of Medical Science and Technology, Indian Institute of Technology Kharagpur, Kharagpur 721302, India
| | - M Joshi
- National Facility for High-field NMR, Tata Institute of Fundamental Research, Mumbai 400005, India
| | - S Srivastava
- National Facility for High-field NMR, Tata Institute of Fundamental Research, Mumbai 400005, India
| | - A Mukherjee
- Cell Biology and Genetic Toxicology Laboratory, Centre of Advanced study, Department of Botany, University of Calcutta, Kolkata 700019, India
| | - C Datta Ray
- Department of Obstetrics and Gynaecology, Institute of Post-Graduate Medical Education and Research (IPGME&R) and SSKM Hospital, Kolkata 700020, India
| | | | - K Chaudhury
- School of Medical Science and Technology, Indian Institute of Technology Kharagpur, Kharagpur 721302, India
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Dysfunctional High-Density Lipoprotein: An Innovative Target for Proteomics and Lipidomics. CHOLESTEROL 2015; 2015:296417. [PMID: 26634153 PMCID: PMC4655037 DOI: 10.1155/2015/296417] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/23/2015] [Revised: 10/12/2015] [Accepted: 10/12/2015] [Indexed: 02/02/2023]
Abstract
High-Density Lipoprotein-Cholesterol (HDL-C) is regarded as an important protective factor against cardiovascular disease, with abundant evidence of an inverse relationship between its serum levels and risk of cardiovascular disease, as well as various antiatherogenic, antioxidant, and anti-inflammatory properties. Nevertheless, observations of hereditary syndromes featuring scant HDL-C concentration in absence of premature atherosclerotic disease suggest HDL-C levels may not be the best predictor of cardiovascular disease. Indeed, the beneficial effects of HDL may not depend solely on their concentration, but also on their quality. Distinct subfractions of this lipoprotein appear to be constituted by specific protein-lipid conglomerates necessary for different physiologic and pathophysiologic functions. However, in a chronic inflammatory microenvironment, diverse components of the HDL proteome and lipid core suffer alterations, which propel a shift towards a dysfunctional state, where HDL-C becomes proatherogenic, prooxidant, and proinflammatory. This heterogeneity highlights the need for further specialized molecular studies in this aspect, in order to achieve a better understanding of this dysfunctional state; with an emphasis on the potential role for proteomics and lipidomics as valuable methods in the search of novel therapeutic approaches for cardiovascular disease.
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Yang L, Li M, Shan Y, Shen S, Bai Y, Liu H. Recent advances in lipidomics for disease research. J Sep Sci 2015; 39:38-50. [PMID: 26394722 DOI: 10.1002/jssc.201500899] [Citation(s) in RCA: 68] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2015] [Revised: 09/14/2015] [Accepted: 09/15/2015] [Indexed: 12/15/2022]
Abstract
Lipidomics is an important branch of metabolomics, which aims at the detailed analysis of lipid species and their multiple roles in the living system. In recent years, the development of various analytical methods for effective identification and characterization of lipids has greatly promoted the process of lipidomics. Meanwhile, as many diseases demonstrate a remarkable alteration in lipid profiles compared with that of healthy people, lipidomics has been extensively introduced to disease research. The comprehensive lipid profiling provides a chance to discover novel biomarkers for specific disease. In addition, it plays a crucial role in the study of lipid metabolism, which could illuminate the pathogenesis of diseases. In this review, after brief discussion of analytical methods for lipidomics in clinical research, we focus on the recent advances of lipidomics related to four types of diseases, including cancer, atherosclerosis, diabetes mellitus, and Alzheimer's disease.
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Affiliation(s)
- Li Yang
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Institute of Analytical Chemistry, College of Chemistry and Molecular Engineering, Peking University, Beijing, China
| | - Min Li
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Institute of Analytical Chemistry, College of Chemistry and Molecular Engineering, Peking University, Beijing, China
| | - Yabing Shan
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Institute of Analytical Chemistry, College of Chemistry and Molecular Engineering, Peking University, Beijing, China.,National Research Center for Geoanalysis, Beijing, China
| | - Sensen Shen
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Institute of Analytical Chemistry, College of Chemistry and Molecular Engineering, Peking University, Beijing, China
| | - Yu Bai
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Institute of Analytical Chemistry, College of Chemistry and Molecular Engineering, Peking University, Beijing, China
| | - Huwei Liu
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Institute of Analytical Chemistry, College of Chemistry and Molecular Engineering, Peking University, Beijing, China
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Sutter I, Velagapudi S, Othman A, Riwanto M, Manz J, Rohrer L, Rentsch K, Hornemann T, Landmesser U, von Eckardstein A. Plasmalogens of high-density lipoproteins (HDL) are associated with coronary artery disease and anti-apoptotic activity of HDL. Atherosclerosis 2015; 241:539-46. [DOI: 10.1016/j.atherosclerosis.2015.05.037] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2015] [Revised: 05/09/2015] [Accepted: 05/31/2015] [Indexed: 12/27/2022]
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Affiliation(s)
- Samuel Furse
- Membrane Biochemistry & Biophysics, Universiteit Utrecht, Padualaan 8, Utrecht, The Netherlands
| | - Maarten R. Egmond
- Membrane Biochemistry & Biophysics, Universiteit Utrecht, Padualaan 8, Utrecht, The Netherlands
| | - J. Antoinette Killian
- Membrane Biochemistry & Biophysics, Universiteit Utrecht, Padualaan 8, Utrecht, The Netherlands
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Checa A, Bedia C, Jaumot J. Lipidomic data analysis: Tutorial, practical guidelines and applications. Anal Chim Acta 2015; 885:1-16. [DOI: 10.1016/j.aca.2015.02.068] [Citation(s) in RCA: 59] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2014] [Revised: 02/25/2015] [Accepted: 02/27/2015] [Indexed: 10/23/2022]
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