1
|
Endo Y, Sasaki K, Ikewaki K. Bridging the Gap Between the Bench and Bedside: Clinical Applications of High-density Lipoprotein Function. J Atheroscler Thromb 2024; 31:1239-1248. [PMID: 38925924 DOI: 10.5551/jat.rv22020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/28/2024] Open
Abstract
Decades of research have reshaped our understanding of high-density lipoprotein (HDL) , shifting our focus from cholesterol (C) levels to multifaceted functionalities. Epidemiological studies initially suggested an association between HDL-C levels and cardiovascular disease (CVD) risk; however, such a simple association has not been indicated by recent studies. Notably, genome-wide studies have highlighted discrepancies between HDL-C levels and CVD outcomes, urging a deeper exploration of the role of HDL. The key to this shift lies in elucidating the role of HDL in reverse cholesterol transport (RCT), which is a fundamental anti-atherosclerotic mechanism. Understanding RCT has led to the identification of therapeutic targets and novel interventions for atherosclerosis. However, clinical trials have underscored the limitations of HDL-C as a therapeutic target, prompting the re-evaluation of the role of HDL in disease prevention. Further investigations have revealed the involvement of HDL composition in various diseases other than CVD, including chronic kidney disease, Alzheimer's disease, and autoimmune diseases. The anti-inflammatory, antioxidative, and anti-infectious properties of HDL have emerged as crucial aspects of its protective function, opening new avenues for novel biomarkers and therapeutic targets. Omics technologies have provided insights into the diverse composition of HDL, revealing disease-specific alterations in the HDL proteome and lipidome. In addition, combining cell-based and cell-free assays has facilitated the evaluation of the HDL functionality across diverse populations, offering the potential for personalized medicine. Overall, a comprehensive understanding of HDL multifunctionality leads to promising prospects for future clinical applications and therapeutic developments, extending beyond cardiovascular health.
Collapse
Affiliation(s)
- Yasuhiro Endo
- Division of Anti-aging and Vascular Medicine, Department of Internal Medicine, National Defense Medical College
- Division of Environmental Medicine, National Defense Medical College Research Institute
| | - Kei Sasaki
- Division of Anti-aging and Vascular Medicine, Department of Internal Medicine, National Defense Medical College
| | - Katsunori Ikewaki
- Division of Anti-aging and Vascular Medicine, Department of Internal Medicine, National Defense Medical College
| |
Collapse
|
2
|
Livzan MA, Bikbavova GR, Lisyutenko NS, Romanyuk AE, Drapkina OM. Cardiovascular Risk in Patients with Inflammatory Bowel Diseases-The Role of Endothelial Dysfunction. Diagnostics (Basel) 2024; 14:1722. [PMID: 39202210 PMCID: PMC11353271 DOI: 10.3390/diagnostics14161722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2024] [Revised: 07/31/2024] [Accepted: 08/07/2024] [Indexed: 09/03/2024] Open
Abstract
Inflammatory bowel disease (IBD) is associated with an increased risk of cardiovascular disease (CVD). Cardiovascular pathology in people with IBD has not been well studied to date, and a direct link between cardiovascular events and IBD has not been established. The mechanisms underlying this association include the parallel and dynamic interaction of inflammation, modulation of the composition of the gut microbiota, endothelial dysfunction, thrombogenicity, and increased endothelial and epithelial permeability. Endothelial dysfunction is a common aspect of the pathogenesis of IBD and atherosclerotic CVD and can be considered one of the most important factors leading to the development and progression of cardiovascular pathology in patients with IBD. The purpose of this literature review is to describe the mechanisms underlying the development of endothelial dysfunction and disorders of the structure and function of the gut-vascular barrier in the pathogenesis of the cardiovascular manifestation of IBD.
Collapse
Affiliation(s)
- Maria A. Livzan
- Department of Faculty Therapy, Omsk State Medical University, 644099 Omsk, Russia;
| | - Galiya R. Bikbavova
- Department of Internal Medicine and Endocrinology, Omsk State Medical University, 644099 Omsk, Russia;
| | - Natalya S. Lisyutenko
- Department of Internal Medicine and Endocrinology, Omsk State Medical University, 644099 Omsk, Russia;
| | - Alisa E. Romanyuk
- Faculty of Medicine, Omsk State Medical University, 644099 Omsk, Russia;
| | - Oxana M. Drapkina
- National Medical Research Center for Therapy and Preventive Medicine, 101990 Moscow, Russia;
| |
Collapse
|
3
|
Huang Z, Liu N, Chen S, Chen Z, Wang P. Factors influencing accelerated aging in patients with type 2 diabetes mellitus and coronary heart disease. Front Endocrinol (Lausanne) 2024; 15:1416234. [PMID: 39145313 PMCID: PMC11322350 DOI: 10.3389/fendo.2024.1416234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Accepted: 07/09/2024] [Indexed: 08/16/2024] Open
Abstract
Objective To investigate the factors influencing accelerated aging in patients with type 2 diabetes mellitus (T2DM) and coronary heart disease (CHD). Methods A total of 216 patients diagnosed with T2DM and CHD between August 2019 and August 2023 at Xuzhou Central Hospital were selected. Patients were divided into an aging group and a non-aging group, based on the positive or negative values of phenotypic age acceleration (PhenoAgeAccel). Logistic regression analysis was conducted. Variables that had a univariate analysis P< 0.05 were included in the multivariate analysis to identify factors influencing aging in patients with T2DM and CHD, and the area under the curve of the model was reported. Results This study included 216 patients, with 89 in the accelerated aging group, and 127 in the non-accelerated aging group. The average age of patients was 70.40 (95% CI: 69.10-71.69) years, with 137 males (63.4%). Compared with the non-accelerated aging group, patients in the accelerated aging group were older, with a higher proportion of males, and a higher prevalence of hypertension, stable angina pectoris, and unstable angina pectoris. Multivariate Logistic regression analysis indicated that the absolute value of neutrophils (NEUT#), urea (UREA), adenosine deaminase (ADA), and the triglyceride-glucose index (TyG) were risk factors for accelerated aging, while cholinesterase (CHE) was a protective factor. For each unit increase in NEUT#, UREA, ADA, and TyG, the risk of aging increased by 64%, 48%, 10%, and 789%, respectively. The overall area under the receiver operating characteristic (ROC) curve of the model in the training set was 0.894, with a 95% confidence interval (CI) of 0.851-0.938. Conclusion NEUT#, CHE, UREA, ADA, and TyG are predictors of accelerated aging in patients with T2DM and CHD, with the model showing favorable overall predictive performance.
Collapse
Affiliation(s)
| | | | | | | | - Peian Wang
- Xuzhou Central Hospital, Affiliated Xuzhou Clinical College of Xuzhou Medical University, Xuzhou, Jiangsu, China
| |
Collapse
|
4
|
Martagon AJ, Zubirán R, González-Arellanes R, Praget-Bracamontes S, Rivera-Alcántara JA, Aguilar-Salinas CA. HDL abnormalities in type 2 diabetes: Clinical implications. Atherosclerosis 2024; 394:117213. [PMID: 37580206 DOI: 10.1016/j.atherosclerosis.2023.117213] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Revised: 07/30/2023] [Accepted: 08/02/2023] [Indexed: 08/16/2023]
Abstract
Atherosclerotic cardiovascular disease (ASCVD) represents the primary cause of mortality among patients with Type 2 Diabetes Mellitus (T2DM). In this population, High-Density Lipoprotein (HDL) particles exhibit abnormalities in number, composition, and function, culminating in diminished anti-atherosclerotic capabilities despite normal HDL cholesterol (HDL-C) concentrations. Hyperglycemic conditions contribute to these alterations in HDL kinetics, composition, and function, causing T2DM patients' HDL particles to exhibit decreased concentrations of diverse lipid species and proteins. Treatment of hyperglycemia has the potential to correct abnormal HDL particle attributes in T2DM; however, pharmacological interventions, including metformin and thiazolidinediones, yield inconsistent outcomes with respect to HDL-C concentrations and functionality. Despite numerous attempts with diverse drugs, pharmacologically augmenting HDL-C levels has not resulted in clinical benefits in mitigating ASCVD risk. In contrast, reducing Low Density Lipoprotein cholesterol (LDL-C) via statins and ezetimibe has demonstrated significant efficacy in curtailing CVD risk among T2DM individuals. Promising results have been observed in animal models and early-phase trials utilizing recombinant HDL and Lecitin Cholesterol Acyl Transferase (LCAT) -enhancing agents, but the evaluation of their efficacy and safety in large-scale clinical trials is ongoing. While aberrant HDL metabolism constitutes a prevalent aspect of dyslipidemia in T2DM, HDL cholesterol concentrations and composition no longer offer valuable insights for informing therapeutic decisions. Nevertheless, HDL metabolism remains a critical research area in T2DM, necessitating further investigation to elucidate the role of HDL particles in the development of diabetes-associated complications.
Collapse
Affiliation(s)
- Alexandro J Martagon
- Unidad de Investigación de Enfermedades Metabólicas Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, México City, Mexico; Institute for Obesity Research, Tecnologico de Monterrey, México City, Mexico; Tecnológico de Monterrey, Escuela de Medicina y Ciencias de la Salud, México City, Mexico
| | - Rafael Zubirán
- Unidad de Investigación de Enfermedades Metabólicas Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, México City, Mexico
| | | | - Samantha Praget-Bracamontes
- Unidad de Investigación de Enfermedades Metabólicas Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, México City, Mexico
| | | | - Carlos A Aguilar-Salinas
- Unidad de Investigación de Enfermedades Metabólicas Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, México City, Mexico; Dirección de Investigación, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, México City, Mexico; Tecnológico de Monterrey, Escuela de Medicina y Ciencias de la Salud, México City, Mexico; Gilbert and Rose-Marie Chagoury School of Medicine, Lebanese American University, Beirut, Lebanon.
| |
Collapse
|
5
|
Everett BM, Siqueira ARO. Looking Under the Hood of the "Good" Cholesterol. JACC. HEART FAILURE 2024; 12:1254-1256. [PMID: 38960520 DOI: 10.1016/j.jchf.2024.04.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2024] [Accepted: 04/30/2024] [Indexed: 07/05/2024]
Affiliation(s)
- Brendan M Everett
- Divisions of Cardiovascular and Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
| | - Amanda R O Siqueira
- Divisions of Cardiovascular and Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA; Paulista Institute of Cardiovascular Diseases, São Paulo, Brazil
| |
Collapse
|
6
|
Lui DTW, Tan KCB. High-density lipoprotein in diabetes: Structural and functional relevance. J Diabetes Investig 2024; 15:805-816. [PMID: 38416054 PMCID: PMC11215696 DOI: 10.1111/jdi.14172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Revised: 02/14/2024] [Accepted: 02/15/2024] [Indexed: 02/29/2024] Open
Abstract
Low levels of high-density lipoprotein-cholesterol (HDL-C) is considered a major cardiovascular risk factor. However, recent studies have suggested a more U-shaped association between HDL-C and cardiovascular disease. It has been shown that the cardioprotective effect of HDL is related to the functions of HDL particles rather than their cholesterol content. HDL particles are highly heterogeneous and have multiple functions relevant to cardiometabolic conditions including cholesterol efflux capacity, anti-oxidative, anti-inflammatory, and vasoactive properties. There are quantitative and qualitative changes in HDL as well as functional abnormalities in both type 1 and type 2 diabetes. Non-enzymatic glycation, carbamylation, oxidative stress, and systemic inflammation can modify the HDL composition and therefore the functions, especially in situations of poor glycemic control. Studies of HDL proteomics and lipidomics have provided further insights into the structure-function relationship of HDL in diabetes. Interestingly, HDL also has a pleiotropic anti-diabetic effect, improving glycemic control through improvement in insulin sensitivity and β-cell function. Given the important role of HDL in cardiometabolic health, HDL-based therapeutics are being developed to enhance HDL functions rather than to increase HDL-C levels. Among these, recombinant HDL and small synthetic apolipoprotein A-I mimetic peptides may hold promise for preventing and treating diabetes and cardiovascular disease.
Collapse
Affiliation(s)
- David Tak Wai Lui
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of MedicineThe University of Hong KongHong Kong SARChina
| | - Kathryn Choon Beng Tan
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of MedicineThe University of Hong KongHong Kong SARChina
| |
Collapse
|
7
|
Pandey S. Metabolomics Characterization of Disease Markers in Diabetes and Its Associated Pathologies. Metab Syndr Relat Disord 2024. [PMID: 38778629 DOI: 10.1089/met.2024.0038] [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: 05/25/2024] Open
Abstract
With the change in lifestyle of people, there has been a considerable increase in diabetes, which brings with it certain follow-up pathological conditions, which lead to a substantial medical burden. Identifying biomarkers that aid in screening, diagnosis, and prognosis of diabetes and its associated pathologies would help better patient management and facilitate a personalized treatment approach for prevention and treatment. With the advancement in techniques and technologies, metabolomics has emerged as an omics approach capable of large-scale high throughput data analysis and identifying and quantifying metabolites that provide an insight into the underlying mechanism of the disease and its progression. Diabetes and metabolomics keywords were searched in correspondence with the assigned keywords, including kidney, cardiovascular diseases and critical illness from PubMed and Scopus, from its inception to Dec 2023. The relevant studies from this search were extracted and included in the study. This review is focused on the biomarkers identified in diabetes, diabetic kidney disease, diabetes-related development of CVD, and its role in critical illness.
Collapse
Affiliation(s)
- Swarnima Pandey
- School of Pharmacy, Department of Pharmaceutical Sciences, University of Maryland, Baltimore, Maryland, USA
| |
Collapse
|
8
|
Barranco-Altirriba M, Alonso N, Weber RJM, Lloyd GR, Hernandez M, Yanes O, Capellades J, Jankevics A, Winder C, Falguera M, Franch-Nadal J, Dunn WB, Perera-Lluna A, Castelblanco E, Mauricio D. Lipidome characterisation and sex-specific differences in type 1 and type 2 diabetes mellitus. Cardiovasc Diabetol 2024; 23:109. [PMID: 38553758 PMCID: PMC10981308 DOI: 10.1186/s12933-024-02202-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 03/14/2024] [Indexed: 04/01/2024] Open
Abstract
BACKGROUND In this study, we evaluated the lipidome alterations caused by type 1 diabetes (T1D) and type 2 diabetes (T2D), by determining lipids significantly associated with diabetes overall and in both sexes, and lipids associated with the glycaemic state. METHODS An untargeted lipidomic analysis was performed to measure the lipid profiles of 360 subjects (91 T1D, 91 T2D, 74 with prediabetes and 104 controls (CT)) without cardiovascular and/or chronic kidney disease. Ultra-high performance liquid chromatography-electrospray ionization mass spectrometry (UHPLC-ESI-MS) was conducted in two ion modes (positive and negative). We used multiple linear regression models to (1) assess the association between each lipid feature and each condition, (2) determine sex-specific differences related to diabetes, and (3) identify lipids associated with the glycaemic state by considering the prediabetes stage. The models were adjusted by sex, age, hypertension, dyslipidaemia, body mass index, glucose, smoking, systolic blood pressure, triglycerides, HDL cholesterol, LDL cholesterol, alternate Mediterranean diet score (aMED) and estimated glomerular filtration rate (eGFR); diabetes duration and glycated haemoglobin (HbA1c) were also included in the comparison between T1D and T2D. RESULTS A total of 54 unique lipid subspecies from 15 unique lipid classes were annotated. Lysophosphatidylcholines (LPC) and ceramides (Cer) showed opposite effects in subjects with T1D and subjects with T2D, LPCs being mainly up-regulated in T1D and down-regulated in T2D, and Cer being up-regulated in T2D and down-regulated in T1D. Also, Phosphatidylcholines were clearly down-regulated in subjects with T1D. Regarding sex-specific differences, ceramides and phosphatidylcholines exhibited important diabetes-associated differences due to sex. Concerning the glycaemic state, we found a gradual increase of a panel of 1-deoxyceramides from normoglycemia to prediabetes to T2D. CONCLUSIONS Our findings revealed an extensive disruption of lipid metabolism in both T1D and T2D. Additionally, we found sex-specific lipidome changes associated with diabetes, and lipids associated with the glycaemic state that can be linked to previously described molecular mechanisms in diabetes.
Collapse
Affiliation(s)
- Maria Barranco-Altirriba
- Department of Endocrinology & Nutrition, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial, Universitat Politècnica de Catalunya, B2SLab, Barcelona, Spain
- Networking Biomedical Research Centre in the subject area of Bioengineering, Biomaterials and Nanomedicine, CIBER-BBN), Madrid, Spain
- Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Barcelona, Spain
| | - Núria Alonso
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, Barcelona, Spain
- Servicio de Endocrinología y Nutrición, Hospital Universitario e Instituto de Investigación en Ciencias de la Salud Germans Trias i Pujol, Badalona, Barcelona, Spain
- Departament de Medicina, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Ralf J M Weber
- School of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
- Phenome Centre Birmingham, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
- Institute of Metabolism and Systems Research, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Gavin R Lloyd
- School of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
- Phenome Centre Birmingham, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
- Institute of Metabolism and Systems Research, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Marta Hernandez
- Department of Endocrinology & Nutrition, Hospital Universitari Arnau de Vilanova, Institut de Recerca Biomèdica de Lleida (IRBLleida), Lleida, Spain
| | - Oscar Yanes
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, Barcelona, Spain
- Department of Electronic Engineering, Universitat Rovira i Virgili, IISPV, Tarragona, Spain
| | - Jordi Capellades
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, Barcelona, Spain
- Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
| | - Andris Jankevics
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research, Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Utrecht, The Netherlands
- Netherlands Proteomics Center, Utrecht, The Netherlands
| | - Catherine Winder
- School of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
- Phenome Centre Birmingham, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
- Centre for Metabolomics Research, Department of Biochemistry, Cell and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, L69 7ZB, Liverpool, UK
| | - Mireia Falguera
- Institut d'Investigació Biomèdica, Centre Atenció Primària Cervera, Gerència d'Atenció Primària, Universitat de Lleida, Institut Català de la Salut, Lleida, Spain
| | - Josep Franch-Nadal
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, Barcelona, Spain
- DAP-Cat Group, Unitat de Suport a La Recerca Barcelona Ciutat, Institut Universitari d'Investigació en Atenció Primària Jordi Gol, Barcelona, Spain
| | - Warwick B Dunn
- School of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
- Phenome Centre Birmingham, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
- Centre for Metabolomics Research, Department of Biochemistry, Cell and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, L69 7ZB, Liverpool, UK
| | - Alexandre Perera-Lluna
- Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial, Universitat Politècnica de Catalunya, B2SLab, Barcelona, Spain
- Networking Biomedical Research Centre in the subject area of Bioengineering, Biomaterials and Nanomedicine, CIBER-BBN), Madrid, Spain
- Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Barcelona, Spain
| | - Esmeralda Castelblanco
- Division of Endocrinology, Metabolism and Lipid Research, Department of Internal Medicine, Washington University School of Medicine, 63110, St. Louis, MO, USA.
- Unitat de Suport a la Recerca Barcelona, Institut Universitari d'Investigació en Atenció Primària Jordi Gol i Gurina, 08007, Barcelona, Spain.
| | - Didac Mauricio
- Department of Endocrinology & Nutrition, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, Barcelona, Spain.
- Institut d'Investigació Biomèdica Sant Pau (IR Sant Pau), 08041, Barcelona, Spain.
- Faculty of Medicine, University of Vic, Vic, Spain.
| |
Collapse
|
9
|
Chapman MJ, Orsoni A, Mellett NA, Nguyen A, Robillard P, Shaw JE, Giral P, Thérond P, Swertfeger D, Davidson WS, Meikle PJ. Pitavastatin treatment remodels the HDL subclass lipidome and proteome in hypertriglyceridemia. J Lipid Res 2024; 65:100494. [PMID: 38160756 PMCID: PMC10850136 DOI: 10.1016/j.jlr.2023.100494] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 12/22/2023] [Accepted: 12/24/2023] [Indexed: 01/03/2024] Open
Abstract
HDL particles vary in lipidome and proteome, which dictate their individual physicochemical properties, metabolism, and biological activities. HDL dysmetabolism in nondiabetic hypertriglyceridemia (HTG) involves subnormal HDL-cholesterol and apoAI levels. Metabolic anomalies may impact the qualitative features of both the HDL lipidome and proteome. Whether particle content of bioactive lipids and proteins may differentiate HDL subclasses (HDL2b, 2a, 3a, 3b, and 3c) in HTG is unknown. Moreover, little is known of the effect of statin treatment on the proteolipidome of hypertriglyceridemic HDL and its subclasses. Nondiabetic, obese, HTG males (n = 12) received pitavastatin calcium (4 mg/day) for 180 days in a single-phase, unblinded study. ApoB-containing lipoproteins were normalized poststatin. Individual proteolipidomes of density-defined HDL subclasses were characterized prestatin and poststatin. At baseline, dense HDL3c was distinguished by marked protein diversity and peak abundance of surface lysophospholipids, amphipathic diacylglycerol and dihydroceramide, and core cholesteryl ester and triacylglycerol, (normalized to mol phosphatidylcholine), whereas light HDL2b showed peak abundance of free cholesterol, sphingomyelin, glycosphingolipids (monohexosylceramide, dihexosylceramide, trihexosylceramide, and anionic GM3), thereby arguing for differential lipid transport and metabolism between subclasses. Poststatin, bioactive lysophospholipid (lysophosphatidylcholine, lysoalkylphosphatidylcholine, lysophosphatidylethanolamine, and lysophosphatidylinositol) cargo was preferentially depleted in HDL3c. By contrast, baseline lipidomic profiles of ceramide, dihydroceramide and related glycosphingolipids, and GM3/phosphatidylcholine were maintained across particle subclasses. All subclasses were depleted in triacylglycerol and diacylglycerol/phosphatidylcholine. The abundance of apolipoproteins CI, CII, CIV, and M diminished in the HDL proteome. Statin treatment principally impacts metabolic remodeling of the abnormal lipidome of HDL particle subclasses in nondiabetic HTG, with lesser effects on the proteome.
Collapse
Affiliation(s)
- M John Chapman
- Cardiovascular Disease Prevention Unit, Pitié-Salpetrière University Hospital, Sorbonne University and National Institute for Health and Medical Research (INSERM), Paris, France.
| | - Alexina Orsoni
- Service de Biochimie, AP-HP, Paris-Saclay University, Bicetre University Hospital, and EA 7357, Paris-Saclay University, Orsay, France
| | - Natalie A Mellett
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Anh Nguyen
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Paul Robillard
- Cardiovascular Disease Prevention Unit, Pitié-Salpetrière University Hospital, Sorbonne University and National Institute for Health and Medical Research (INSERM), Paris, France
| | - Jonathan E Shaw
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Philippe Giral
- INSERM UMR1166 and Cardiovascular Prevention Units, ICAN-Institute of CardioMetabolism and Nutrition, AP-HP, Pitie-Salpetriere University Hospital, Paris, France
| | - Patrice Thérond
- Service de Biochimie, AP-HP, Paris-Saclay University, Bicetre University Hospital, and EA 7357, Paris-Saclay University, Orsay, France
| | - Debi Swertfeger
- Department of Endocrinology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - W Sean Davidson
- Department of Pathology and Laboratory Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Peter J Meikle
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia; Baker Department of Cardiovascular Research, Translation and Implementation, La Trobe University, Bundoora, Victoria, Australia
| |
Collapse
|
10
|
Lund J, Lähteenmäki E, Eklund T, Bakke HG, Thoresen GH, Pirinen E, Jauhiainen M, Rustan AC, Lehti M. Human HDL subclasses modulate energy metabolism in skeletal muscle cells. J Lipid Res 2024; 65:100481. [PMID: 38008260 PMCID: PMC10770614 DOI: 10.1016/j.jlr.2023.100481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 11/20/2023] [Accepted: 11/22/2023] [Indexed: 11/28/2023] Open
Abstract
In addition to its antiatherogenic role, HDL reportedly modulates energy metabolism at the whole-body level. HDL functionality is associated with its structure and composition, and functional activities can differ between HDL subclasses. Therefore, we studied if HDL2 and HDL3, the two major HDL subclasses, are able to modulate energy metabolism of skeletal muscle cells. Differentiated mouse and primary human skeletal muscle myotubes were used to investigate the influences of human HDL2 and HDL3 on glucose and fatty uptake and oxidation. HDL-induced changes in lipid distribution and mRNA expression of genes related to energy substrate metabolism, mitochondrial function, and HDL receptors were studied with human myotubes. Additionally, we examined the effects of apoA-I and discoidal, reconstituted HDL particles on substrate metabolism. In mouse myotubes, HDL subclasses strongly enhanced glycolysis upon high and low glucose concentrations. HDL3 caused a minor increase in ATP-linked respiration upon glucose conditioning but HDL2 improved complex I-mediated mitochondrial respiration upon fatty acid treatment. In human myotubes, glucose metabolism was attenuated but fatty acid uptake and oxidation were markedly increased by both HDL subclasses, which also increased mRNA expression of genes related to fatty acid metabolism and HDL receptors. Finally, both HDL subclasses induced incorporation of oleic acid into different lipid classes. These results, demonstrating that HDL subclasses enhance fatty acid oxidation in human myotubes but improve anaerobic metabolism in mouse myotubes, support the role of HDL as a circulating modulator of energy metabolism. Exact mechanisms and components of HDL causing the change, require further investigation.
Collapse
Affiliation(s)
- Jenny Lund
- Section for Pharmacology and Pharmaceutical Biosciences, Department of Pharmacy, University of Oslo, Oslo, Norway
| | - Emilia Lähteenmäki
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.
| | - Tiia Eklund
- Department of Biological and Environmental Science, University of Jyväskylä, Jyväskylä, Finland
| | - Hege G Bakke
- Section for Pharmacology and Pharmaceutical Biosciences, Department of Pharmacy, University of Oslo, Oslo, Norway
| | - G Hege Thoresen
- Section for Pharmacology and Pharmaceutical Biosciences, Department of Pharmacy, University of Oslo, Oslo, Norway; Department of Pharmacology, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Eija Pirinen
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland; Research Unit for Biomedicine and Internal Medicine, Faculty of Medicine, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland; Biocenter Oulu, University of Oulu, Oulu, Finland
| | - Matti Jauhiainen
- Department of Public Health and Welfare, Minerva Foundation Institute for Medical Research and Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Arild C Rustan
- Section for Pharmacology and Pharmaceutical Biosciences, Department of Pharmacy, University of Oslo, Oslo, Norway
| | - Maarit Lehti
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| |
Collapse
|
11
|
Denimal D. Antioxidant and Anti-Inflammatory Functions of High-Density Lipoprotein in Type 1 and Type 2 Diabetes. Antioxidants (Basel) 2023; 13:57. [PMID: 38247481 PMCID: PMC10812436 DOI: 10.3390/antiox13010057] [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: 12/01/2023] [Revised: 12/24/2023] [Accepted: 12/27/2023] [Indexed: 01/23/2024] Open
Abstract
(1) Background: high-density lipoproteins (HDLs) exhibit antioxidant and anti-inflammatory properties that play an important role in preventing the development of atherosclerotic lesions and possibly also diabetes. In turn, both type 1 diabetes (T1D) and type 2 diabetes (T2D) are susceptible to having deleterious effects on these HDL functions. The objectives of the present review are to expound upon the antioxidant and anti-inflammatory functions of HDLs in both diabetes in the setting of atherosclerotic cardiovascular diseases and discuss the contributions of these HDL functions to the onset of diabetes. (2) Methods: this narrative review is based on the literature available from the PubMed database. (3) Results: several antioxidant functions of HDLs, such as paraoxonase-1 activity, are compromised in T2D, thereby facilitating the pro-atherogenic effects of oxidized low-density lipoproteins. In addition, HDLs exhibit diminished ability to inhibit pro-inflammatory pathways in the vessels of individuals with T2D. Although the literature is less extensive, recent evidence suggests defective antiatherogenic properties of HDL particles in T1D. Lastly, substantial evidence indicates that HDLs play a role in the onset of diabetes by modulating glucose metabolism. (4) Conclusions and perspectives: impaired HDL antioxidant and anti-inflammatory functions present intriguing targets for mitigating cardiovascular risk in individuals with diabetes. Further investigations are needed to clarify the influence of glycaemic control and nephropathy on HDL functionality in patients with T1D. Furthermore, exploring the effects on HDL functionality of novel antidiabetic drugs used in the management of T2D may provide intriguing insights for future research.
Collapse
Affiliation(s)
- Damien Denimal
- Unit 1231, Center for Translational and Molecular Medicine, University of Burgundy, 21000 Dijon, France;
- Department of Clinical Biochemistry, Dijon Bourgogne University Hospital, 21079 Dijon, France
| |
Collapse
|
12
|
Jiménez-Osorio AS, Carreón-Torres E, Correa-Solís E, Ángel-García J, Arias-Rico J, Jiménez-Garza O, Morales-Castillejos L, Díaz-Zuleta HA, Baltazar-Tellez RM, Sánchez-Padilla ML, Flores-Chávez OR, Estrada-Luna D. Inflammation and Oxidative Stress Induced by Obesity, Gestational Diabetes, and Preeclampsia in Pregnancy: Role of High-Density Lipoproteins as Vectors for Bioactive Compounds. Antioxidants (Basel) 2023; 12:1894. [PMID: 37891973 PMCID: PMC10604737 DOI: 10.3390/antiox12101894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 10/05/2023] [Accepted: 10/13/2023] [Indexed: 10/29/2023] Open
Abstract
Inflammation and oxidative stress are essential components in a myriad of pathogenic entities that lead to metabolic and chronic diseases. Moreover, inflammation in its different phases is necessary for the initiation and maintenance of a healthy pregnancy. Therefore, an equilibrium between a necessary/pathologic level of inflammation and oxidative stress during pregnancy is needed to avoid disease development. High-density lipoproteins (HDL) are important for a healthy pregnancy and a good neonatal outcome. Their role in fetal development during challenging situations is vital for maintaining the equilibrium. However, in certain conditions, such as obesity, diabetes, and other cardiovascular diseases, it has been observed that HDL loses its protective properties, becoming dysfunctional. Bioactive compounds have been widely studied as mediators of inflammation and oxidative stress in different diseases, but their mechanisms of action are still unknown. Nonetheless, these agents, which are obtained from functional foods, increase the concentration of HDL, TRC, and antioxidant activity. Therefore, this review first summarizes several mechanisms of HDL participation in the equilibrium between inflammation and oxidative stress. Second, it gives an insight into how HDL may act as a vector for bioactive compounds. Third, it describes the relationships between the inflammation process in pregnancy and HDL activity. Consequently, different databases were used, including MEDLINE, PubMed, and Scopus, where scientific articles published in the English language up to 2023 were identified.
Collapse
Affiliation(s)
- Angélica Saraí Jiménez-Osorio
- Área Académica de Enfermería, Instituto de Ciencias de la Salud, Universidad Autónoma del Estado Hida go, Circuito Ex Hacienda La Concepción S/N, Carretera Pachuca-Actopan, San Agustín Tlaxiaca 42160, Hidalgo, Mexico; (A.S.J.-O.); (J.Á.-G.); (J.A.-R.); (O.J.-G.); (L.M.-C.); (R.M.B.-T.); (M.L.S.-P.); (O.R.F.-C.)
| | - Elizabeth Carreón-Torres
- Department of Molecular Biology, Instituto Nacional de Cardiología “Ignacio Chávez”, Juan Badiano 1, Sección XVI, Tlalpan, Mexico City 14080, Mexico;
| | - Emmanuel Correa-Solís
- Instituto de Farmacobiología, Universidad de la Cañada, Carretera Teotitlán-San Antonio Nanahuatipán Km 1.7 s/n., Paraje Titlacuatitla, Teotitlán de Flores Magón 68540, Oaxaca, Mexico;
| | - Julieta Ángel-García
- Área Académica de Enfermería, Instituto de Ciencias de la Salud, Universidad Autónoma del Estado Hida go, Circuito Ex Hacienda La Concepción S/N, Carretera Pachuca-Actopan, San Agustín Tlaxiaca 42160, Hidalgo, Mexico; (A.S.J.-O.); (J.Á.-G.); (J.A.-R.); (O.J.-G.); (L.M.-C.); (R.M.B.-T.); (M.L.S.-P.); (O.R.F.-C.)
| | - José Arias-Rico
- Área Académica de Enfermería, Instituto de Ciencias de la Salud, Universidad Autónoma del Estado Hida go, Circuito Ex Hacienda La Concepción S/N, Carretera Pachuca-Actopan, San Agustín Tlaxiaca 42160, Hidalgo, Mexico; (A.S.J.-O.); (J.Á.-G.); (J.A.-R.); (O.J.-G.); (L.M.-C.); (R.M.B.-T.); (M.L.S.-P.); (O.R.F.-C.)
| | - Octavio Jiménez-Garza
- Área Académica de Enfermería, Instituto de Ciencias de la Salud, Universidad Autónoma del Estado Hida go, Circuito Ex Hacienda La Concepción S/N, Carretera Pachuca-Actopan, San Agustín Tlaxiaca 42160, Hidalgo, Mexico; (A.S.J.-O.); (J.Á.-G.); (J.A.-R.); (O.J.-G.); (L.M.-C.); (R.M.B.-T.); (M.L.S.-P.); (O.R.F.-C.)
| | - Lizbeth Morales-Castillejos
- Área Académica de Enfermería, Instituto de Ciencias de la Salud, Universidad Autónoma del Estado Hida go, Circuito Ex Hacienda La Concepción S/N, Carretera Pachuca-Actopan, San Agustín Tlaxiaca 42160, Hidalgo, Mexico; (A.S.J.-O.); (J.Á.-G.); (J.A.-R.); (O.J.-G.); (L.M.-C.); (R.M.B.-T.); (M.L.S.-P.); (O.R.F.-C.)
| | - Hugo Alexander Díaz-Zuleta
- Facultad de Ciencias de la Salud, Universidad de Ciencias Aplicadas y Ambientales, Cl. 222 #54-21, Bogotá 111166, Colombia;
| | - Rosa María Baltazar-Tellez
- Área Académica de Enfermería, Instituto de Ciencias de la Salud, Universidad Autónoma del Estado Hida go, Circuito Ex Hacienda La Concepción S/N, Carretera Pachuca-Actopan, San Agustín Tlaxiaca 42160, Hidalgo, Mexico; (A.S.J.-O.); (J.Á.-G.); (J.A.-R.); (O.J.-G.); (L.M.-C.); (R.M.B.-T.); (M.L.S.-P.); (O.R.F.-C.)
| | - María Luisa Sánchez-Padilla
- Área Académica de Enfermería, Instituto de Ciencias de la Salud, Universidad Autónoma del Estado Hida go, Circuito Ex Hacienda La Concepción S/N, Carretera Pachuca-Actopan, San Agustín Tlaxiaca 42160, Hidalgo, Mexico; (A.S.J.-O.); (J.Á.-G.); (J.A.-R.); (O.J.-G.); (L.M.-C.); (R.M.B.-T.); (M.L.S.-P.); (O.R.F.-C.)
| | - Olga Rocío Flores-Chávez
- Área Académica de Enfermería, Instituto de Ciencias de la Salud, Universidad Autónoma del Estado Hida go, Circuito Ex Hacienda La Concepción S/N, Carretera Pachuca-Actopan, San Agustín Tlaxiaca 42160, Hidalgo, Mexico; (A.S.J.-O.); (J.Á.-G.); (J.A.-R.); (O.J.-G.); (L.M.-C.); (R.M.B.-T.); (M.L.S.-P.); (O.R.F.-C.)
| | - Diego Estrada-Luna
- Área Académica de Enfermería, Instituto de Ciencias de la Salud, Universidad Autónoma del Estado Hida go, Circuito Ex Hacienda La Concepción S/N, Carretera Pachuca-Actopan, San Agustín Tlaxiaca 42160, Hidalgo, Mexico; (A.S.J.-O.); (J.Á.-G.); (J.A.-R.); (O.J.-G.); (L.M.-C.); (R.M.B.-T.); (M.L.S.-P.); (O.R.F.-C.)
| |
Collapse
|
13
|
Darabi M, Lhomme M, Ponnaiah M, Pučić-Baković M, Guillas I, Frisdal E, Bittar R, Croyal M, Matheron-Duriez L, Poupel L, Bonnefont-Rousselot D, Frere C, Varret M, Krempf M, Cariou B, Lauc G, Guerin M, Carrie A, Bruckert E, Giral P, Le Goff W, Kontush A. Integrated omics approach for the identification of HDL structure-function relationships in PCSK9-related familial hypercholesterolemia. J Clin Lipidol 2023; 17:643-658. [PMID: 37550151 DOI: 10.1016/j.jacl.2023.07.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 07/07/2023] [Accepted: 07/13/2023] [Indexed: 08/09/2023]
Abstract
BACKGROUND The role of proprotein convertase subtilisin/kexin type 9 (PCSK9) in dyslipidemia may go beyond its immediate effects on low-density lipoprotein receptor (LDL-R) activity. OBJECTIVE This study aimed to assess PCSK9-derived alterations of high-density lipoprotein (HDL) physiology, which bear a potential to contribute to cardiovascular risk profile. METHODS HDL was isolated from 33 patients with familial autosomal dominant hypercholesterolemia (FH), including those carrying PCSK9 gain-of-function (GOF) genetic variants (FH-PCSK9, n = 11), together with two groups of dyslipidemic patients employed as controls and carrying genetic variants in the LDL-R not treated (ntFH-LDLR, n = 11) and treated (tFH-LDLR, n = 11) with statins, and 11 normolipidemic controls. Biological evaluations paralleled by proteomic, lipidomic and glycomic analyses were applied to characterize functional and compositional properties of HDL. RESULTS Multiple deficiencies in the HDL function were identified in the FH-PCSK9 group relative to dyslipidemic FH-LDLR patients and normolipidemic controls, which involved reduced antioxidative, antiapoptotic, anti-thrombotic and anti-inflammatory activities. By contrast, cellular cholesterol efflux capacity of HDL was unchanged. In addition, multiple alterations of the proteomic, lipidomic and glycomic composition of HDL were found in the FH-PCSK9 group. Remarkably, HDLs from FH-PCSK9 patients were systematically enriched in several lysophospholipids as well as in A2G2S2 (GP13) glycan and apolipoprotein A-IV. Based on network analysis of functional and compositional data, a novel mosaic structure-function model of HDL biology involving FH was developed. CONCLUSION Several metrics of anti-atherogenic HDL functionality are altered in FH-PCSK9 patients paralleled by distinct compositional alterations. These data provide a first-ever overview of the impact of GOF PCSK9 genetic variants on structure-function relationships in HDL.
Collapse
Affiliation(s)
- Maryam Darabi
- Sorbonne Université, INSERM (Drs Darabi, Guillas, Frisdal, Poupel, Carrie,Bittar, Guerin, Le Goff, and Kontush), Institute of Cardiometabolism and Nutrition (ICAN), UMR_S1166, F-75013 Paris, France; LPS-BioSciences (Current affiliation of Dr Darabi), Université de Paris-Saclay, Orsay, France
| | - Marie Lhomme
- ICAN Analytics (Dr Lhomme), Lipidomics Core, Foundation for Innovation in Cardiometabolism and Nutrition (IHU-ICAN, ANR-10-IAHU-05), Paris, France
| | - Maharajah Ponnaiah
- ICAN I/O (Dr Ponnaiah), Foundation for Innovation in Cardiometabolism and Nutrition (IHU-ICAN, ANR-10-IAHU-05), Paris, France
| | - Maja Pučić-Baković
- Genos Glycoscience Research Laboratory (Drs Pučić-Baković and Lauc), Borongajska cesta 83H, HR-10 000 Zagreb, Croatia
| | - Isabelle Guillas
- Sorbonne Université, INSERM (Drs Darabi, Guillas, Frisdal, Poupel, Carrie,Bittar, Guerin, Le Goff, and Kontush), Institute of Cardiometabolism and Nutrition (ICAN), UMR_S1166, F-75013 Paris, France
| | - Eric Frisdal
- Sorbonne Université, INSERM (Drs Darabi, Guillas, Frisdal, Poupel, Carrie,Bittar, Guerin, Le Goff, and Kontush), Institute of Cardiometabolism and Nutrition (ICAN), UMR_S1166, F-75013 Paris, France
| | - Randa Bittar
- Sorbonne Université, INSERM (Drs Darabi, Guillas, Frisdal, Poupel, Carrie,Bittar, Guerin, Le Goff, and Kontush), Institute of Cardiometabolism and Nutrition (ICAN), UMR_S1166, F-75013 Paris, France; Department of Metabolic Biochemistry (Drs Bittar and Bonnefont-Rousselot), Pitié-Salpêtrière-Charles Foix Hospital, AP-HP, Paris, France
| | - Mikaël Croyal
- Université de Nantes (Drs Cariou et Croyal), CHU Nantes, CNRS, INSERM, l'Institut du Thorax, F-44000 Nantes, France; Université de Nantes (Dr Croyal), CHU Nantes, Inserm, CNRS, SFR Santé, Inserm UMS 016, CNRS UMS 3556, F-44000 Nantes, France; CRNH-Ouest Mass Spectrometry Core Facility (Drs Croyal and Krempf), F-44000 Nantes, France
| | - Lucrèce Matheron-Duriez
- Platform MS3U (Dr Matheron), Institut de Biologie Paris Seine FR 3631, Sorbonne Université, Paris, France
| | - Lucie Poupel
- Sorbonne Université, INSERM (Drs Darabi, Guillas, Frisdal, Poupel, Carrie,Bittar, Guerin, Le Goff, and Kontush), Institute of Cardiometabolism and Nutrition (ICAN), UMR_S1166, F-75013 Paris, France
| | - Dominique Bonnefont-Rousselot
- Department of Metabolic Biochemistry (Drs Bittar and Bonnefont-Rousselot), Pitié-Salpêtrière-Charles Foix Hospital, AP-HP, Paris, France; Université de Paris (Dr Bonnefont-Rousselot), CNRS, INSERM, UTCBS, F-75006 Paris, France
| | - Corinne Frere
- Department of Haematology (Dr Frere), Pitié-Salpêtrière Hospital, Assistance Publique Hôpitaux de Paris, Sorbonne Université, Paris, France
| | - Mathilde Varret
- Paris University and Sorbonne Paris Nord University (Dr Varret), National Institute for Health and Medical Research (INSERM, LVTS), F-75018 Paris, France
| | - Michel Krempf
- CRNH-Ouest Mass Spectrometry Core Facility (Drs Croyal and Krempf), F-44000 Nantes, France; Clinique Bretéché (Dr Krempf), Groupe Elsan, Nantes, France
| | - Bertrand Cariou
- Université de Nantes (Drs Cariou et Croyal), CHU Nantes, CNRS, INSERM, l'Institut du Thorax, F-44000 Nantes, France
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory (Drs Pučić-Baković and Lauc), Borongajska cesta 83H, HR-10 000 Zagreb, Croatia
| | - Maryse Guerin
- Sorbonne Université, INSERM (Drs Darabi, Guillas, Frisdal, Poupel, Carrie,Bittar, Guerin, Le Goff, and Kontush), Institute of Cardiometabolism and Nutrition (ICAN), UMR_S1166, F-75013 Paris, France
| | - Alain Carrie
- Sorbonne Université, INSERM (Drs Darabi, Guillas, Frisdal, Poupel, Carrie,Bittar, Guerin, Le Goff, and Kontush), Institute of Cardiometabolism and Nutrition (ICAN), UMR_S1166, F-75013 Paris, France
| | - Eric Bruckert
- Endocrinologie Métabolisme et Prévention Cardiovasculaire (Drs Bruckert and Giral), Institut E3M et IHU Cardiométabolique (ICAN), Hôpital Pitié Salpêtrière, Paris, France
| | - Philippe Giral
- Endocrinologie Métabolisme et Prévention Cardiovasculaire (Drs Bruckert and Giral), Institut E3M et IHU Cardiométabolique (ICAN), Hôpital Pitié Salpêtrière, Paris, France
| | - Wilfried Le Goff
- Sorbonne Université, INSERM (Drs Darabi, Guillas, Frisdal, Poupel, Carrie,Bittar, Guerin, Le Goff, and Kontush), Institute of Cardiometabolism and Nutrition (ICAN), UMR_S1166, F-75013 Paris, France
| | - Anatol Kontush
- Sorbonne Université, INSERM (Drs Darabi, Guillas, Frisdal, Poupel, Carrie,Bittar, Guerin, Le Goff, and Kontush), Institute of Cardiometabolism and Nutrition (ICAN), UMR_S1166, F-75013 Paris, France.
| |
Collapse
|
14
|
Kolb LN, Othman A, Rohrer L, Krützfeldt J, von Eckardstein A. Altered Distribution of Unesterified Cholesterol among Lipoprotein Subfractions of Patients with Diabetes Mellitus Type 2. Biomolecules 2023; 13:biom13030497. [PMID: 36979432 PMCID: PMC10046057 DOI: 10.3390/biom13030497] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 02/22/2023] [Accepted: 02/24/2023] [Indexed: 03/10/2023] Open
Abstract
Biomarkers are important tools to improve the early detection of patients at high risk for developing diabetes as well as the stratification of diabetic patients towards risks of complications. In addition to clinical variables, we analyzed 155 metabolic parameters in plasma samples of 51 healthy volunteers and 66 patients with diabetes using nuclear magnetic resonance (NMR) spectrometry. Upon elastic net analysis with lasso regression, we confirmed the independent associations of diabetes with branched-chain amino acids and lactate (both positive) as well as linoleic acid in plasma and HDL diameter (both inverse). In addition, we found the presence of diabetes independently associated with lower concentrations of free cholesterol in plasma but higher concentrations of free cholesterol in small HDL. Compared to plasmas of non-diabetic controls, plasmas of diabetic subjects contained lower absolute and relative concentrations of free cholesterol in all LDL and HDL subclasses except small HDL but higher absolute and relative concentrations of free cholesterol in all VLDL subclasses (except very small VLDL). These disbalances may reflect disturbances in the transfer of free cholesterol from VLDL to HDL during lipolysis and in the transfer of cell-derived cholesterol from small HDL via larger HDL to LDL.
Collapse
Affiliation(s)
- Livia Noemi Kolb
- Institute of Clinical Chemistry, University of Zurich and University Hospital of Zurich, CH-8091 Zurich, Switzerland
| | - Alaa Othman
- Institute of Molecular Systems Biology, ETH Zurich, CH-8049 Zurich, Switzerland
| | - Lucia Rohrer
- Institute of Clinical Chemistry, University of Zurich and University Hospital of Zurich, CH-8091 Zurich, Switzerland
| | - Jan Krützfeldt
- Department of Endocrinology, Diabetology and Clinical Nutrition, University Hospital of Zurich, CH-8091 Zurich, Switzerland
| | - Arnold von Eckardstein
- Institute of Clinical Chemistry, University of Zurich and University Hospital of Zurich, CH-8091 Zurich, Switzerland
- Correspondence:
| |
Collapse
|
15
|
Denimal D, Monier S, Bouillet B, Vergès B, Duvillard L. High-Density Lipoprotein Alterations in Type 2 Diabetes and Obesity. Metabolites 2023; 13:metabo13020253. [PMID: 36837872 PMCID: PMC9967905 DOI: 10.3390/metabo13020253] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 02/07/2023] [Accepted: 02/07/2023] [Indexed: 02/12/2023] Open
Abstract
Alterations affecting high-density lipoproteins (HDLs) are one of the various abnormalities observed in dyslipidemia in type 2 diabetes mellitus (T2DM) and obesity. Kinetic studies have demonstrated that the catabolism of HDL particles is accelerated. Both the size and the lipidome and proteome of HDL particles are significantly modified, which likely contributes to some of the functional defects of HDLs. Studies on cholesterol efflux capacity have yielded heterogeneous results, ranging from a defect to an improvement. Several studies indicate that HDLs are less able to inhibit the nuclear factor kappa-B (NF-κB) proinflammatory pathway, and subsequently, the adhesion of monocytes on endothelium and their recruitment into the subendothelial space. In addition, the antioxidative function of HDL particles is diminished, thus facilitating the deleterious effects of oxidized low-density lipoproteins on vasculature. Lastly, the HDL-induced activation of endothelial nitric oxide synthase is less effective in T2DM and metabolic syndrome, contributing to several HDL functional defects, such as an impaired capacity to promote vasodilatation and endothelium repair, and difficulty counteracting the production of reactive oxygen species and inflammation.
Collapse
Affiliation(s)
- Damien Denimal
- INSERM, UMR1231, University of Burgundy, 21000 Dijon, France
- Department of Biochemistry, CHU Dijon Bourgogne, 21000 Dijon, France
- Correspondence:
| | - Serge Monier
- INSERM, UMR1231, University of Burgundy, 21000 Dijon, France
| | - Benjamin Bouillet
- INSERM, UMR1231, University of Burgundy, 21000 Dijon, France
- Department of Endocrinology and Diabetology, CHU Dijon Bourgogne, 21000 Dijon, France
| | - Bruno Vergès
- INSERM, UMR1231, University of Burgundy, 21000 Dijon, France
- Department of Endocrinology and Diabetology, CHU Dijon Bourgogne, 21000 Dijon, France
| | - Laurence Duvillard
- INSERM, UMR1231, University of Burgundy, 21000 Dijon, France
- Department of Biochemistry, CHU Dijon Bourgogne, 21000 Dijon, France
| |
Collapse
|
16
|
Proteomic analysis of postprandial high-density lipoproteins in healthy subjects. Int J Biol Macromol 2023; 225:1280-1290. [PMID: 36427620 DOI: 10.1016/j.ijbiomac.2022.11.187] [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: 09/15/2022] [Revised: 11/17/2022] [Accepted: 11/18/2022] [Indexed: 11/25/2022]
Abstract
The relationship between the functionality and composition of high-density lipoproteins (HDL) is yet not fully studied, and little is known about the influence of the diet in HDL proteome. Therefore, the aim of this research was to elucidate the HDL proteome associated to postprandial hyperlipidemia. Male volunteers were recruited for an interventional study with high fatty acid-based meals. Blood samples were collected before the intake (baseline), and 2-3 (postprandial peak) and 5-6 (postprandial post peak) hours later. HDL were purified and the protein composition was quantified by LC-MS/MS. Statistical analysis was performed by lineal models (amica) and by ANOVA and multi-t-test of the different conditions (MetaboAnalyst). Additionally, a clustering of the expression profiles of each protein was done with coseq R package (RStudio). Initially, 320 proteins were identified but only 119 remained after the filtering. APOM, APOE, APOB, and APOA2, proteins previously identified in the HDL proteome, were the only proteins with a statistically significant altered expression in postprandial hyperlipidemia when compared to baseline (p values <0.05 and logFC >1). In conclusion, we have been able to describe several behaviors of the whole HDL proteome during the postprandial hyperlipidemic metabolism.
Collapse
|
17
|
Changes in Lipoprotein Particles in the Blood Serum of Patients with Lichen Planus. Metabolites 2023; 13:metabo13010091. [PMID: 36677016 PMCID: PMC9866152 DOI: 10.3390/metabo13010091] [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: 12/06/2022] [Revised: 12/27/2022] [Accepted: 01/04/2023] [Indexed: 01/07/2023] Open
Abstract
Lichen planus is a chronic inflammatory mucocutaneous disease that belongs to the group of papulosquamous skin diseases among diseases like psoriasis, a widely studied disease in dermatology. The aim of the study was to identify the changes between the blood sera of lichen planus patients and healthy controls to widen the knowledge about the metabolomic aspect of lichen planus and gain a better understanding about the pathophysiology of the disease. We used high-throughput nuclear magnetic resonance (NMR) spectroscopy to measure the levels of blood serum metabolites, lipoproteins and lipoprotein particles. Dyslipidemia has relatively recently been shown to be one of the comorbidities of lichen planus, but the changes in the components of lipoproteins have not been described yet. We found statistically significant changes in the concentrations of 16 markers regarding lipoproteins, which included the components of intermediate-density lipoproteins, low-density lipoproteins and large low-density lipoproteins. We propose that the detected changes may increase the risk for specific comorbidities (e.g., dyslipidemia) and resulting cardiovascular diseases, as the turnover and hepatic uptake of the altered/modified lipoprotein particles are disturbed.
Collapse
|
18
|
HDL Functions-Current Status and Future Perspectives. Biomolecules 2023; 13:biom13010105. [PMID: 36671490 PMCID: PMC9855960 DOI: 10.3390/biom13010105] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 12/28/2022] [Accepted: 12/30/2022] [Indexed: 01/06/2023] Open
Abstract
Cardiovascular disease (CVD) is the leading cause of death in Western countries. A low HDL-C is associated with the development of CVD. However, recent epidemiology studies have shown U-shaped curves between HDL-C and CVD mortality, with paradoxically increased CVD mortality in patients with extremely high HDL-C levels. Furthermore, HDL-C raising therapy using nicotinic acids or CETP inhibitors mostly failed to reduce CVD events. Based on this background, HDL functions rather than HDL-C could be a novel biomarker; research on the clinical utility of HDL functionality is ongoing. In this review, we summarize the current status of HDL functions and their future perspectives from the findings of basic research and clinical trials.
Collapse
|
19
|
Jin Q, Lau ESH, Luk AO, Tam CHT, Ozaki R, Lim CKP, Wu H, Chow EYK, Kong APS, Lee HM, Fan B, Ng ACW, Jiang G, Lee KF, Siu SC, Hui G, Tsang CC, Lau KP, Leung JY, Tsang MW, Cheung EYN, Kam G, Lau IT, Li JK, Yeung VT, Lau E, Lo S, Fung S, Cheng YL, Chow CC, Yu W, Tsui SKW, Huang Y, Lan HY, Szeto CC, So WY, Jenkins AJ, Chan JCN, Ma RCW. High-density lipoprotein subclasses and cardiovascular disease and mortality in type 2 diabetes: analysis from the Hong Kong Diabetes Biobank. Cardiovasc Diabetol 2022; 21:293. [PMID: 36587202 PMCID: PMC9805680 DOI: 10.1186/s12933-022-01726-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 12/13/2022] [Indexed: 01/01/2023] Open
Abstract
OBJECTIVE High-density lipoproteins (HDL) comprise particles of different size, density and composition and their vasoprotective functions may differ. Diabetes modifies the composition and function of HDL. We assessed associations of HDL size-based subclasses with incident cardiovascular disease (CVD) and mortality and their prognostic utility. RESEARCH DESIGN AND METHODS HDL subclasses by nuclear magnetic resonance spectroscopy were determined in sera from 1991 fasted adults with type 2 diabetes (T2D) consecutively recruited from March 2014 to February 2015 in Hong Kong. HDL was divided into small, medium, large and very large subclasses. Associations (per SD increment) with outcomes were evaluated using multivariate Cox proportional hazards models. C-statistic, integrated discrimination index (IDI), and categorial and continuous net reclassification improvement (NRI) were used to assess predictive value. RESULTS Over median (IQR) 5.2 (5.0-5.4) years, 125 participants developed incident CVD and 90 participants died. Small HDL particles (HDL-P) were inversely associated with incident CVD [hazard ratio (HR) 0.65 (95% CI 0.52, 0.81)] and all-cause mortality [0.47 (0.38, 0.59)] (false discovery rate < 0.05). Very large HDL-P were positively associated with all-cause mortality [1.75 (1.19, 2.58)]. Small HDL-P improved prediction of mortality [C-statistic 0.034 (0.013, 0.055), IDI 0.052 (0.014, 0.103), categorical NRI 0.156 (0.006, 0.252), and continuous NRI 0.571 (0.246, 0.851)] and CVD [IDI 0.017 (0.003, 0.038) and continuous NRI 0.282 (0.088, 0.486)] over the RECODe model. CONCLUSION Small HDL-P were inversely associated with incident CVD and all-cause mortality and improved risk stratification for adverse outcomes in people with T2D. HDL-P may be used as markers for residual risk in people with T2D.
Collapse
Affiliation(s)
- Qiao Jin
- grid.10784.3a0000 0004 1937 0482Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China
| | - Eric S. H. Lau
- grid.10784.3a0000 0004 1937 0482Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China ,grid.10784.3a0000 0004 1937 0482Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China
| | - Andrea O. Luk
- grid.10784.3a0000 0004 1937 0482Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China ,grid.10784.3a0000 0004 1937 0482Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China ,grid.10784.3a0000 0004 1937 0482Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China
| | - Claudia H. T. Tam
- grid.10784.3a0000 0004 1937 0482Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China ,grid.10784.3a0000 0004 1937 0482Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China ,grid.10784.3a0000 0004 1937 0482Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China ,CUHK-SJTU Joint Research Centre on Diabetes Genomics and Precision Medicine, Shatin, Hong Kong Special Administrative Region China
| | - Risa Ozaki
- grid.10784.3a0000 0004 1937 0482Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China ,grid.10784.3a0000 0004 1937 0482Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China
| | - Cadmon K. P. Lim
- grid.10784.3a0000 0004 1937 0482Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China ,grid.10784.3a0000 0004 1937 0482Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China ,grid.10784.3a0000 0004 1937 0482Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China ,CUHK-SJTU Joint Research Centre on Diabetes Genomics and Precision Medicine, Shatin, Hong Kong Special Administrative Region China
| | - Hongjiang Wu
- grid.10784.3a0000 0004 1937 0482Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China ,grid.10784.3a0000 0004 1937 0482Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China
| | - Elaine Y. K. Chow
- grid.10784.3a0000 0004 1937 0482Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China ,grid.10784.3a0000 0004 1937 0482Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China ,grid.10784.3a0000 0004 1937 0482Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China
| | - Alice P. S. Kong
- grid.10784.3a0000 0004 1937 0482Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China ,grid.10784.3a0000 0004 1937 0482Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China ,grid.10784.3a0000 0004 1937 0482Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China
| | - Heung Man Lee
- grid.10784.3a0000 0004 1937 0482Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China
| | - Baoqi Fan
- grid.10784.3a0000 0004 1937 0482Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China ,grid.10784.3a0000 0004 1937 0482Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China ,grid.10784.3a0000 0004 1937 0482Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China ,CUHK-SJTU Joint Research Centre on Diabetes Genomics and Precision Medicine, Shatin, Hong Kong Special Administrative Region China
| | - Alex C. W. Ng
- grid.10784.3a0000 0004 1937 0482Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China
| | - Guozhi Jiang
- grid.12981.330000 0001 2360 039XSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong China
| | - Ka Fai Lee
- grid.415591.d0000 0004 1771 2899Department of Medicine and Geriatrics, Kwong Wah Hospital, Yau Ma Tei, Hong Kong Special Administrative Region China
| | - Shing Chung Siu
- grid.417347.20000 0004 1799 526XDiabetes Centre, Tung Wah Eastern Hospital, Sheung Wan, Hong Kong Special Administrative Region China
| | - Grace Hui
- grid.417347.20000 0004 1799 526XDiabetes Centre, Tung Wah Eastern Hospital, Sheung Wan, Hong Kong Special Administrative Region China
| | - Chiu Chi Tsang
- grid.413608.80000 0004 1772 5868Diabetes and Education Centre, Alice Ho Miu Ling Nethersole Hospital, Tai Po, Hong Kong Special Administrative Region China
| | - Kam Piu Lau
- grid.490321.d0000000417722990North District Hospital, Sheung Shui, Hong Kong Special Administrative Region China
| | - Jenny Y. Leung
- grid.416291.90000 0004 1775 0609Department of Medicine and Geriatrics, Ruttonjee Hospital, Wan Chai, Hong Kong Special Administrative Region China
| | - Man-wo Tsang
- grid.417037.60000 0004 1771 3082Department of Medicine and Geriatrics, United Christian Hospital, Kwun Tong, Hong Kong Special Administrative Region China
| | - Elaine Y. N. Cheung
- grid.417037.60000 0004 1771 3082Department of Medicine and Geriatrics, United Christian Hospital, Kwun Tong, Hong Kong Special Administrative Region China
| | - Grace Kam
- grid.417037.60000 0004 1771 3082Department of Medicine and Geriatrics, United Christian Hospital, Kwun Tong, Hong Kong Special Administrative Region China
| | - Ip Tim Lau
- grid.490601.a0000 0004 1804 0692Tseung Kwan O Hospital, Hang Hau, Hong Kong Special Administrative Region China
| | - June K. Li
- grid.417335.70000 0004 1804 2890Department of Medicine, Yan Chai Hospital, Tsuen Wan, Hong Kong Special Administrative Region China
| | - Vincent T. Yeung
- grid.499546.30000 0000 9690 2842Centre for Diabetes Education and Management, Our Lady of Maryknoll Hospital, Wong Tai Sin, Hong Kong Special Administrative Region China
| | - Emmy Lau
- grid.417134.40000 0004 1771 4093Department of Medicine, Pamela Youde Nethersole Eastern Hospital, Chai Wan, Hong Kong Special Administrative Region China
| | - Stanley Lo
- grid.417134.40000 0004 1771 4093Department of Medicine, Pamela Youde Nethersole Eastern Hospital, Chai Wan, Hong Kong Special Administrative Region China
| | - Samuel Fung
- grid.415229.90000 0004 1799 7070Department of Medicine and Geriatrics, Princess Margaret Hospital, Lai Chi Kok, Hong Kong Special Administrative Region China
| | - Yuk Lun Cheng
- grid.413608.80000 0004 1772 5868Department of Medicine, Alice Ho Miu Ling Nethersole Hospital, Tai Po, Hong Kong Special Administrative Region China
| | - Chun Chung Chow
- grid.10784.3a0000 0004 1937 0482Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China
| | - Weichuan Yu
- grid.24515.370000 0004 1937 1450Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Kowloon, Hong Kong Special Administrative Region China
| | - Stephen K. W. Tsui
- grid.10784.3a0000 0004 1937 0482School of Biomedical Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China
| | - Yu Huang
- grid.10784.3a0000 0004 1937 0482School of Biomedical Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China ,grid.35030.350000 0004 1792 6846Department of Biomedical Sciences, City University of Hong Kong, Kowloon, Hong Kong Special Administrative Region China
| | - Hui-yao Lan
- grid.10784.3a0000 0004 1937 0482Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China ,grid.10784.3a0000 0004 1937 0482Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China
| | - Cheuk Chun Szeto
- grid.10784.3a0000 0004 1937 0482Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China ,grid.10784.3a0000 0004 1937 0482Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China
| | - Wing Yee So
- grid.10784.3a0000 0004 1937 0482Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China ,grid.10784.3a0000 0004 1937 0482Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China ,grid.10784.3a0000 0004 1937 0482Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China
| | - Alicia J. Jenkins
- grid.10784.3a0000 0004 1937 0482Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China ,grid.1013.30000 0004 1936 834XNHMRC Clinical Trials Centre, University of Sydney, Sydney, Australia
| | - Juliana C. N. Chan
- grid.10784.3a0000 0004 1937 0482Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China ,grid.10784.3a0000 0004 1937 0482Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China ,grid.10784.3a0000 0004 1937 0482Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China ,CUHK-SJTU Joint Research Centre on Diabetes Genomics and Precision Medicine, Shatin, Hong Kong Special Administrative Region China
| | - Ronald C. W. Ma
- grid.10784.3a0000 0004 1937 0482Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China ,grid.10784.3a0000 0004 1937 0482Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China ,grid.10784.3a0000 0004 1937 0482Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region China ,CUHK-SJTU Joint Research Centre on Diabetes Genomics and Precision Medicine, Shatin, Hong Kong Special Administrative Region China
| | | |
Collapse
|
20
|
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.
Collapse
Affiliation(s)
| | - Ivona Mitu
- Correspondence: (I.M.); (R.S.S.); Tel.: +40-75206-1747 (I.M.)
| | | | | | | | | | | |
Collapse
|
21
|
von Eckardstein A, Nordestgaard BG, Remaley AT, Catapano AL. High-density lipoprotein revisited: biological functions and clinical relevance. Eur Heart J 2022; 44:1394-1407. [PMID: 36337032 PMCID: PMC10119031 DOI: 10.1093/eurheartj/ehac605] [Citation(s) in RCA: 65] [Impact Index Per Article: 32.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 09/16/2022] [Accepted: 10/10/2022] [Indexed: 11/09/2022] Open
Abstract
Abstract
Previous interest in high-density lipoproteins (HDLs) focused on their possible protective role in atherosclerotic cardiovascular disease (ASCVD). Evidence from genetic studies and randomized trials, however, questioned that the inverse association of HDL-cholesterol (HDL-C) is causal. This review aims to provide an update on the role of HDL in health and disease, also beyond ASCVD. Through evolution from invertebrates, HDLs are the principal lipoproteins, while apolipoprotein B-containing lipoproteins first developed in vertebrates. HDLs transport cholesterol and other lipids between different cells like a reusable ferry, but serve many other functions including communication with cells and the inactivation of biohazards like bacterial lipopolysaccharides. These functions are exerted by entire HDL particles or distinct proteins or lipids carried by HDL rather than by its cholesterol cargo measured as HDL-C. Neither does HDL-C measurement reflect the efficiency of reverse cholesterol transport. Recent studies indicate that functional measures of HDL, notably cholesterol efflux capacity, numbers of HDL particles, or distinct HDL proteins are better predictors of ASCVD events than HDL-C. Low HDL-C levels are related observationally, but also genetically, to increased risks of infectious diseases, death during sepsis, diabetes mellitus, and chronic kidney disease. Additional, but only observational, data indicate associations of low HDL-C with various autoimmune diseases, and cancers, as well as all-cause mortality. Conversely, extremely high HDL-C levels are associated with an increased risk of age-related macular degeneration (also genetically), infectious disease, and all-cause mortality. HDL encompasses dynamic multimolecular and multifunctional lipoproteins that likely emerged during evolution to serve several physiological roles and prevent or heal pathologies beyond ASCVD. For any clinical exploitation of HDL, the indirect marker HDL-C must be replaced by direct biomarkers reflecting the causal role of HDL in the respective disease.
Collapse
Affiliation(s)
- Arnold von Eckardstein
- Institute of Clinical Chemistry, University Hospital Zurich and University of Zurich , Zurich , Switzerland
| | - Børge G Nordestgaard
- Department of Clinical Biochemistry, Copenhagen University Hospital, Herlev and Gentofte Hospital , Herlev , Denmark
- The Copenhagen General Population Study, Copenhagen University Hospital, Herlev and Gentofte Hospital , Herlev , Denmark
- Institute of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen , Copenhagen , Denmark
| | - Alan T Remaley
- Lipoprotein Metabolism Section, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health , Bethesda, MD , USA
| | - Alberico L Catapano
- Department of Pharmacological and Biomolecular Sciences, University of Milan , Milan , Italy
- IRCCS MultiMedica, Sesto S. Giovanni , Milan , Italy
| |
Collapse
|
22
|
Vyletelová V, Nováková M, Pašková Ľ. Alterations of HDL's to piHDL's Proteome in Patients with Chronic Inflammatory Diseases, and HDL-Targeted Therapies. Pharmaceuticals (Basel) 2022; 15:1278. [PMID: 36297390 PMCID: PMC9611871 DOI: 10.3390/ph15101278] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 10/03/2022] [Accepted: 10/14/2022] [Indexed: 09/10/2023] Open
Abstract
Chronic inflammatory diseases, such as rheumatoid arthritis, steatohepatitis, periodontitis, chronic kidney disease, and others are associated with an increased risk of atherosclerotic cardiovascular disease, which persists even after accounting for traditional cardiac risk factors. The common factor linking these diseases to accelerated atherosclerosis is chronic systemic low-grade inflammation triggering changes in lipoprotein structure and metabolism. HDL, an independent marker of cardiovascular risk, is a lipoprotein particle with numerous important anti-atherogenic properties. Besides the essential role in reverse cholesterol transport, HDL possesses antioxidative, anti-inflammatory, antiapoptotic, and antithrombotic properties. Inflammation and inflammation-associated pathologies can cause modifications in HDL's proteome and lipidome, transforming HDL from atheroprotective into a pro-atherosclerotic lipoprotein. Therefore, a simple increase in HDL concentration in patients with inflammatory diseases has not led to the desired anti-atherogenic outcome. In this review, the functions of individual protein components of HDL, rendering them either anti-inflammatory or pro-inflammatory are described in detail. Alterations of HDL proteome (such as replacing atheroprotective proteins by pro-inflammatory proteins, or posttranslational modifications) in patients with chronic inflammatory diseases and their impact on cardiovascular health are discussed. Finally, molecular, and clinical aspects of HDL-targeted therapies, including those used in therapeutical practice, drugs in clinical trials, and experimental drugs are comprehensively summarised.
Collapse
Affiliation(s)
| | | | - Ľudmila Pašková
- Department of Cell and Molecular Biology of Drugs, Faculty of Pharmacy, Comenius University, 83232 Bratislava, Slovakia
| |
Collapse
|
23
|
Systematic Review of NMR-Based Metabolomics Practices in Human Disease Research. Metabolites 2022; 12:metabo12100963. [PMID: 36295865 PMCID: PMC9609461 DOI: 10.3390/metabo12100963] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 10/10/2022] [Accepted: 10/10/2022] [Indexed: 12/02/2022] Open
Abstract
Nuclear magnetic resonance (NMR) spectroscopy is one of the principal analytical techniques for metabolomics. It has the advantages of minimal sample preparation and high reproducibility, making it an ideal technique for generating large amounts of metabolomics data for biobanks and large-scale studies. Metabolomics is a popular “omics” technology and has established itself as a comprehensive exploratory biomarker tool; however, it has yet to reach its collaborative potential in data collation due to the lack of standardisation of the metabolomics workflow seen across small-scale studies. This systematic review compiles the different NMR metabolomics methods used for serum, plasma, and urine studies, from sample collection to data analysis, that were most popularly employed over a two-year period in 2019 and 2020. It also outlines how these methods influence the raw data and the downstream interpretations, and the importance of reporting for reproducibility and result validation. This review can act as a valuable summary of NMR metabolomic workflows that are actively used in human biofluid research and will help guide the workflow choice for future research.
Collapse
|
24
|
Mietus-Snyder M, Suslovic W, Delaney M, Playford MP, Ballout RA, Barber JR, Otvos JD, DeBiasi RL, Mehta NN, Remaley AT. Changes in HDL cholesterol, particles, and function associate with pediatric COVID-19 severity. Front Cardiovasc Med 2022; 9:1033660. [PMID: 36312284 PMCID: PMC9597312 DOI: 10.3389/fcvm.2022.1033660] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 09/21/2022] [Indexed: 11/17/2022] Open
Abstract
Background Myriad roles for high-density lipoprotein (HDL) beyond atheroprotection include immunologic functions implicated in the severity of coronavirus disease-2019 (COVID-19) in adults. We explored whether there is an association between HDL and COVID-19 severity in youth. Methods A pediatric cohort (N = 102), who tested positive for COVID-19 across a range of disease manifestations from mild or no symptoms, to acute severe symptoms, to the multisystem inflammatory syndrome of children (MIS-C) was identified. Clinical data were collected from the medical record and reserve plasma aliquots were assessed for lipoproteins by NMR spectroscopy and assayed for HDL functional cholesterol efflux capacity (CEC). Findings were compared by COVID-19 status and symptom severity. Lipoprotein, NMR spectroscopy and CEC data were compared with 30 outpatient COVID negative children. Results Decreasing HDL cholesterol (HDL-c), apolipoprotein AI (ApoA-I), total, large and small HDL particles and HDL CEC showed a strong and direct linear dose-response relationship with increasing severity of COVID-19 symptoms. Youth with mild or no symptoms closely resembled the uninfected. An atypical lipoprotein that arises in the presence of severe hepatic inflammation, lipoprotein Z (LP-Z), was absent in COVID-19 negative controls but identified more often in youth with the most severe infections and the lowest HDL parameters. The relationship between HDL CEC and symptom severity and ApoA-I remained significant in a multiply adjusted model that also incorporated age, race/ethnicity, the presence of LP-Z and of GlycA, a composite biomarker reflecting multiple acute phase proteins. Conclusion HDL parameters, especially HDL function, may help identify youth at risk of more severe consequences of COVID-19 and other novel infectious pathogens.
Collapse
Affiliation(s)
- Michele Mietus-Snyder
- Children's National Hospital, Washington, DC, United States
- The Children's National Clinical and Translational Science Institute, Washington, DC, United States
- Division of Cardiology, School of Medicine and Health Sciences, The George Washington University, Washington, DC, United States
- Department of Pediatrics, School of Medicine and Health Sciences, The George Washington University, Washington, DC, United States
| | | | - Meghan Delaney
- Children's National Hospital, Washington, DC, United States
- Department of Pediatrics, School of Medicine and Health Sciences, The George Washington University, Washington, DC, United States
- Division of Clinical and Laboratory Medicine, School of Medicine and Health Sciences, The George Washington University, Washington, DC, United States
| | - Martin P. Playford
- Cardiovascular and Pulmonary Branch, National Institutes of Health, Bethesda, MD, United States
| | - Rami A. Ballout
- Lipoprotein Metabolism Section, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - John R. Barber
- The Children's National Clinical and Translational Science Institute, Washington, DC, United States
| | - James D. Otvos
- Lipoprotein Metabolism Section, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Roberta L. DeBiasi
- Children's National Hospital, Washington, DC, United States
- The Children's National Clinical and Translational Science Institute, Washington, DC, United States
- Department of Pediatrics, School of Medicine and Health Sciences, The George Washington University, Washington, DC, United States
- Division of Infectious Diseases, School of Medicine and Health Sciences, The George Washington University, Washington, DC, United States
- Department of Microbiology, Immunology and Tropical Medicine, School of Medicine and Health Sciences, The George Washington University, Washington, DC, United States
| | - Nehal N. Mehta
- Cardiovascular and Pulmonary Branch, National Institutes of Health, Bethesda, MD, United States
| | - Alan T. Remaley
- Lipoprotein Metabolism Section, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
- Clinical Center, Department of Laboratory Medicine, National Institutes of Health, Bethesda, MD, United States
| |
Collapse
|
25
|
Trimarco V, Izzo R, Morisco C, Mone P, Manzi MV, Falco A, Pacella D, Gallo P, Lembo M, Santulli G, Trimarco B. High HDL (High-Density Lipoprotein) Cholesterol Increases Cardiovascular Risk in Hypertensive Patients. Hypertension 2022; 79:2355-2363. [PMID: 35968698 PMCID: PMC9617028 DOI: 10.1161/hypertensionaha.122.19912] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND Emerging evidence suggests that elevated circulating levels of HDL-C (high-density lipoprotein cholesterol) could be linked to an increased mortality risk. However, to the best of our knowledge, the relationship between HDL-C and specific cardiovascular events has never been investigated in patients with hypertension. METHODS To fill this knowledge gap, we analyzed the relationship between HDL-C levels and cardiovascular events in hypertensive patients within the Campania Salute Network in Southern Italy. RESULTS We studied 11 987 patients with hypertension, who were followed for 25 534 person-years. Our population was divided in 3 groups according to the HDL-C plasma levels: HDL-C<40 mg/dL (low HDL-C); HDL-C between 40 and 80 mg/dL (medium HDL-C); and HDL-C>80 mg/dL (high HDL-C). At the follow-up analysis, adjusting for potential confounders, we observed a total of 245 cardiovascular events with a significantly increased risk of cardiovascular events in the low HDL-C group and in the high HDL-C arm compared with the medium HDL-C group. The spline analysis revealed a nonlinear U-shaped association between HDL-C levels and cardiovascular outcomes. Interestingly, the increased cardiovascular risk associated with high HDL-C was not confirmed in female patients. CONCLUSIONS Our data demonstrate that there is a U-shaped association between HDL-C and the risk of cardiovascular events in male patients with hypertension.
Collapse
Affiliation(s)
| | | | - Carmine Morisco
- Department of Advanced Biomedical Sciences, “Federico II” University, Naples, Italy; International Translational Research and Medical Education (ITME) Consortium, Naples, Italy
| | - Pasquale Mone
- Division of Cardiology, Department of Medicine, Wilf Family Cardiovascular Research Institute, Albert Einstein College of Medicine, New York City, NY
| | - Maria Virginia Manzi
- Department of Advanced Biomedical Sciences, “Federico II” University, Naples, Italy
| | - Angela Falco
- Department of Neuroscience, Reproductive Sciences and Dentistry, “Federico II” University, Naples, Italy
| | - Daniela Pacella
- Department of Public Health, “Federico II” University, Naples, Italy
| | - Paola Gallo
- Department of Advanced Biomedical Sciences, “Federico II” University, Naples, Italy
| | - Maria Lembo
- Department of Advanced Biomedical Sciences, “Federico II” University, Naples, Italy
| | - Gaetano Santulli
- Department of Advanced Biomedical Sciences, “Federico II” University, Naples, Italy; International Translational Research and Medical Education (ITME) Consortium, Naples, Italy; Division of Cardiology, Department of Medicine, Wilf Family Cardiovascular Research Institute, Department of Molecular Pharmacology, Fleischer Institute for Diabetes and Metabolism (FIDAM), Albert Einstein College of Medicine, New York City, NY
| | - Bruno Trimarco
- Department of Advanced Biomedical Sciences, “Federico II” University, Naples, Italy; International Translational Research and Medical Education (ITME) Consortium, Naples, Italy
| |
Collapse
|
26
|
Agoons DD, Musani SK, Correa A, Golden SH, Bertoni AG, Echouffo‐Tcheugui JB. High-density lipoprotein-cholesterol and incident type 2 diabetes mellitus among African Americans: The Jackson Heart Study. Diabet Med 2022; 39:e14895. [PMID: 35639386 PMCID: PMC9308726 DOI: 10.1111/dme.14895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 05/19/2022] [Accepted: 05/22/2022] [Indexed: 11/28/2022]
Abstract
AIMS Accruing evidence suggests an association between high-density lipoprotein cholesterol (HDL-C) and incident diabetes. However, there is a paucity of data on the link between HDL-C and diabetes, especially among African Americans (AAs). We aimed to assess the association of HDL-C and its fractions with incident type 2 diabetes among AAs. METHODS We included Jackson Heart Study participants who attended visit 1 (2001-2004), were free from diabetes and were not treated with lipid-modifying medications. Incident diabetes was assessed at two subsequent-yearly visits (2 and 3). We cross-sectionally assessed the association of HDL-C and insulin resistance (IR) using multivariable linear models. We prospectively assessed the association of HDL-C and its fractions with incident diabetes using multivariable Cox regression models. RESULTS Among 2829 participants (mean age: 51.9 ± 12.4 years, 63.9% female), 487 participants (17%) developed new-onset diabetes, over a median follow-up of 8 years. In adjusted models, a higher HDL-C concentration was associated with a lower odds of IR (odds ratio [OR] per standard deviation [SD] increment: OR 0.56 [95% confidence interval, CI 0.50-0.63], p < 0.001). In adjusted models, a higher HDL-C concentration was associated with a lower risk of diabetes (HR per SD increment: 0.78 [95% CI 0.71, 0.87], p < 0.001; HR for highest vs. the lowest tertile of HDL-C was 0.56 [95% CI: 0.44, 0.71], p < 0.001). CONCLUSION In a sample of African-American adults not on any lipid-modifying therapy, high HDL-C concentrations were inversely associated with the risk of new-onset diabetes. These findings suggest a strong link between HDL-C metabolism and glucose regulation.
Collapse
Affiliation(s)
- Dayawa D. Agoons
- Department of MedicineUniversity of Pittsburg Medical Center PinnacleHarrisburgPennsylvaniaUSA
| | - Solomon K. Musani
- Department of MedicineUniversity of Mississippi Medical CenterJacksonMississippiUSA
| | - Adolfo Correa
- Department of MedicineUniversity of Mississippi Medical CenterJacksonMississippiUSA
| | - Sherita H. Golden
- Department of Medicine, Division of Endocrinology, Diabetes & MetabolismJohns Hopkins School of MedicineBaltimoreMarylandUSA
- Welch Prevention Center for Prevention, Epidemiology and Clinical ResearchJohns Hopkins UniversityBaltimoreMarylandUSA
| | - Alain G. Bertoni
- Department of Epidemiology and PreventionWake Forest University School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Justin B. Echouffo‐Tcheugui
- Department of Medicine, Division of Endocrinology, Diabetes & MetabolismJohns Hopkins School of MedicineBaltimoreMarylandUSA
| |
Collapse
|
27
|
Kostara CE, Karakitsou KS, Florentin M, Bairaktari ET, Tsimihodimos V. Progressive, Qualitative, and Quantitative Alterations in HDL Lipidome from Healthy Subjects to Patients with Prediabetes and Type 2 Diabetes. Metabolites 2022; 12:metabo12080683. [PMID: 35893251 PMCID: PMC9331261 DOI: 10.3390/metabo12080683] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 07/19/2022] [Accepted: 07/22/2022] [Indexed: 12/16/2022] Open
Abstract
Prediabetes is a clinically silent, insulin-resistant state with increased risk for the development of type 2 diabetes (T2D) and cardiovascular disease (CVD). Since glucose homeostasis and lipid metabolism are highly intersected and interrelated, an in-depth characterization of qualitative and quantitative abnormalities in lipoproteins could unravel the metabolic pathways underlying the progression of prediabetes to T2D and also the proneness of these patients to developing premature atherosclerosis. We investigated the HDL lipidome in 40 patients with prediabetes and compared it to that of 40 normoglycemic individuals and 40 patients with established T2D using Nuclear Magnetic Resonance (NMR) spectroscopy. Patients with prediabetes presented significant qualitative and quantitative alterations, potentially atherogenic, in HDL lipidome compared to normoglycemic characterized by higher percentages of free cholesterol and triglycerides, whereas phospholipids were lower. Glycerophospholipids and ether glycerolipids were significantly lower in prediabetic compared to normoglycemic individuals, whereas sphingolipids were significantly higher. In prediabetes, lipids were esterified with saturated rather than unsaturated fatty acids. These changes are qualitatively similar, but quantitatively milder, than those found in patients with T2D. We conclude that the detailed characterization of the HDL lipid profile bears a potential to identify patients with subtle (but still proatherogenic) abnormalities who are at high risk for development of T2D and CVD.
Collapse
Affiliation(s)
- Christina E. Kostara
- Laboratory of Clinical Chemistry, Faculty of Medicine, University of Ioannina, 45500 Ioannina, Greece; (C.E.K.); (K.S.K.); (E.T.B.)
| | - Kiriaki S. Karakitsou
- Laboratory of Clinical Chemistry, Faculty of Medicine, University of Ioannina, 45500 Ioannina, Greece; (C.E.K.); (K.S.K.); (E.T.B.)
| | - Matilda Florentin
- Department of Internal Medicine, Faculty of Medicine, University of Ioannina, 45110 Ioannina, Greece;
| | - Eleni T. Bairaktari
- Laboratory of Clinical Chemistry, Faculty of Medicine, University of Ioannina, 45500 Ioannina, Greece; (C.E.K.); (K.S.K.); (E.T.B.)
| | - Vasilis Tsimihodimos
- Department of Internal Medicine, Faculty of Medicine, University of Ioannina, 45110 Ioannina, Greece;
- Correspondence: ; Tel.: +30-2651007362
| |
Collapse
|
28
|
Sacks F, Furtado J, Jensen M. Protein-based HDL subspecies: Rationale and association with cardiovascular disease, diabetes, stroke, and dementia. Biochim Biophys Acta Mol Cell Biol Lipids 2022; 1867:159182. [DOI: 10.1016/j.bbalip.2022.159182] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 02/09/2022] [Accepted: 05/11/2022] [Indexed: 11/16/2022]
|
29
|
Sirtori CR, Corsini A, Ruscica M. The Role of High-Density Lipoprotein Cholesterol in 2022. Curr Atheroscler Rep 2022; 24:365-377. [PMID: 35274229 PMCID: PMC8913032 DOI: 10.1007/s11883-022-01012-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/31/2022] [Indexed: 12/23/2022]
Abstract
PURPOSE OF THE REVIEW High-density lipoproteins (HDL) are responsible for the transport in plasma of a large fraction of circulating lipids, in part from tissue mobilization. The evaluation of HDL-associated cholesterol (HDL-C) has provided a standard method for assessing cardiovascular (CV) risk, as supported by many contributions on the mechanism of this arterial benefit. The present review article will attempt to investigate novel findings on the role and mechanism of HDL in CV risk determination. RECENT FINDINGS The most recent research has been aimed to the understanding of how a raised functional capacity of HDL, rather than elevated levels per se, may be responsible for the postulated CV protection. Markedly elevated HDL-C levels appear instead to be associated to a raised coronary risk, indicative of a U-shaped relationship. While HDL-C reduction is definitely related to a raised CV risk, HDL-C elevations may be linked to non-vascular diseases, such as age-related macular disease. The description of anti-inflammatory, anti-oxidative and anti-infectious properties has indicated potential newer areas for diagnostic and therapeutic approaches. In the last two decades inconclusive data have arisen from clinical trials attempting to increase HDL-C pharmacologically or by way of recombinant protein infusions (most frequently with the mutant A-I Milano); prevention of stent occlusion or heart failure treatment have shown instead significant promise. Targeted clinical studies are still ongoing.
Collapse
Affiliation(s)
- Cesare R Sirtori
- Department of Pharmacological and Biomolecular Sciences, Università Degli Studi Di Milano, Milan, Italy.
| | - Alberto Corsini
- Department of Pharmacological and Biomolecular Sciences, Università Degli Studi Di Milano, Milan, Italy
| | - Massimiliano Ruscica
- Department of Pharmacological and Biomolecular Sciences, Università Degli Studi Di Milano, Milan, Italy.
| |
Collapse
|
30
|
Frey K, von Eckardstein A. HDL, heart disease, and the lung. J Lipid Res 2022; 63:100217. [PMID: 35487261 PMCID: PMC9131245 DOI: 10.1016/j.jlr.2022.100217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 04/15/2022] [Indexed: 11/20/2022] Open
Affiliation(s)
- Kathrin Frey
- University Hospital Zurich and University of Zurich, Institute of Clinical Chemistry, Raemistrasse 100, CH 8091 ZURICH , Switzerland
| | - Arnold von Eckardstein
- University Hospital Zurich and University of Zurich, Institute of Clinical Chemistry, Raemistrasse 100, CH 8091 ZURICH , Switzerland,.
| |
Collapse
|
31
|
Abstract
PURPOSE OF REVIEW To critically appraise new insights into HDL structure and function in type 1 diabetes (T1DM) and type 2 diabetes (T2DM). RECENT FINDINGS In young T1DM patients with early renal impairment and a high inflammatory score, both HDL antioxidative activity and endothelial vasodilatory function were impaired, revealing a critical link between HDL dysfunction, subclinical vascular damage, systemic inflammation and end organ damage. HDL may inhibit development of T2DM by attenuating endoplasmic reticulum (ER) stress and apoptotic loss of pancreatic β-cells, an effect due in part to ABC transporter-mediated efflux of specific oxysterols with downstream activation of the hedghehog signalling receptor, Smoothened. The apoM-sphingosine-1-phosphate complex is critical to HDL antidiabetic activity, encompassing protection against insulin resistance, promotion of insulin secretion, enhanced β-cell survival and inhibition of hepatic glucose production. Structure-function studies of HDL in hyperglycemic, dyslipidemic T2DM patients revealed both gain and loss of lipidomic and proteomic components. Such changes attenuated both the optimal protective effects of HDL on mitochondrial function and its capacity to inhibit endothelial cell apoptosis. Distinct structural components associated with individual HDL functions. SUMMARY Extensive evidence indicates that both the proteome and lipidome of HDL are altered in T1DM and T2DM, with impairment of multiple functions.
Collapse
Affiliation(s)
- M. John Chapman
- Faculty of Medicine, Sorbonne University
- Endocrinology and Cardiovascular Disease Prevention, Pitie-Salpetriere University Hospital
- National Institute for Health and Medical Research (INSERM), Paris, France
| |
Collapse
|
32
|
Shao B, Snell-Bergeon JK, Pyle LL, Thomas KE, de Boer IH, Kothari V, Segrest J, Davidson WS, Bornfeldt KE, Heinecke JW. Pulmonary surfactant protein B carried by HDL predicts incident CVD in patients with type 1 diabetes. J Lipid Res 2022; 63:100196. [PMID: 35300983 PMCID: PMC9010748 DOI: 10.1016/j.jlr.2022.100196] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 03/04/2022] [Accepted: 03/07/2022] [Indexed: 12/22/2022] Open
Abstract
Atherosclerotic CVD is the major cause of death in patients with type 1 diabetes mellitus (T1DM). Alterations in the HDL proteome have been shown to associate with prevalent CVD in T1DM. We therefore sought to determine which proteins carried by HDL might predict incident CVD in patients with T1DM. Using targeted MS/MS, we quantified 50 proteins in HDL from 181 T1DM subjects enrolled in the prospective Coronary Artery Calcification in Type 1 Diabetes study. We used Cox proportional regression analysis and a case-cohort design to test associations of HDL proteins with incident CVD (myocardial infarction, coronary artery bypass grafting, angioplasty, or death from coronary heart disease). We found that only one HDL protein-SFTPB (pulmonary surfactant protein B)-predicted incident CVD in all the models tested. In a fully adjusted model that controlled for lipids and other risk factors, the hazard ratio was 2.17 per SD increase of SFTPB (95% confidence interval, 1.12-4.21, P = 0.022). In addition, plasma fractionation demonstrated that SFTPB is nearly entirely bound to HDL. Although previous studies have shown that high plasma levels of SFTPB associate with prevalent atherosclerosis only in smokers, we found that SFTPB predicted incident CVD in T1DM independently of smoking status and a wide range of confounding factors, including HDL-C, LDL-C, and triglyceride levels. Because SFTPB is almost entirely bound to plasma HDL, our observations support the proposal that SFTPB carried by HDL is a marker-and perhaps mediator-of CVD risk in patients with T1DM.
Collapse
Affiliation(s)
- Baohai Shao
- Department of Medicine, University of Washington, Seattle, WA, USA.
| | | | - Laura L Pyle
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Katie E Thomas
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Ian H de Boer
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Vishal Kothari
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Jere Segrest
- Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - William S Davidson
- Center for Lipid and Arteriosclerosis Science, Department of Pathology and Laboratory Medicine, University of Cincinnati, Cincinnati, OH, USA
| | | | - Jay W Heinecke
- Department of Medicine, University of Washington, Seattle, WA, USA
| |
Collapse
|
33
|
Hafiane A, Gianopoulos I, Sorci-Thomas MG, Daskalopoulou SS. Current models of apolipoprotein A-I lipidation by adenosine triphosphate binding cassette transporter A1. Curr Opin Lipidol 2022; 33:139-145. [PMID: 34581311 DOI: 10.1097/mol.0000000000000786] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
PURPOSE OF REVIEW The primary cardioprotective function of high-density lipoprotein (HDL) is to remove excess cellular free cholesterol (FC) from peripheral tissues and deliver it to the liver. Here, we summarize recent research that examines apolipoprotein A-I (apoA-I) lipidation models by adenosine triphosphate binding cassette transporter A1 (ABCA1) and discuss its relevance in atherosclerotic cardiovascular disease (ASCVD). RECENT FINDINGS The first step in HDL formation involves the interaction between apoA-I and ABCA1, where ABCA1 mediates the removal of FC and phospholipids from lipid-laden macrophages to form discoidal nascent HDL (nHDL). However, there are currently no clear-cut systematic models that characterize HDL formation. A number of recent studies have investigated the importance of apoA-I C- and N-terminal domains required for optimal cholesterol efflux and nHDL production. Furthermore, functional ABCA1 is required for direct or indirect binding to apoA-I where ABCA1 dimer-monomer interconversion facilitates apoA-I lipidation from plasma membrane microdomains. Microparticles are also another lipid source for apoA-I solubilization into nHDL. SUMMARY ApoA-I and ABCA1 are key factors in macrophage-mediated cholesterol efflux and nHDL production. Understanding of the key steps in HDL formation may unlock the therapeutic potential of HDL and improve clinical management of ASCVD.
Collapse
Affiliation(s)
- Anouar Hafiane
- Division of Experimental Medicine, Department of Medicine, Faculty of Medicine, Research Institute of the McGill University Health Centre, McGill University, Montreal, Canada
| | - Ioanna Gianopoulos
- Division of Experimental Medicine, Department of Medicine, Faculty of Medicine, Research Institute of the McGill University Health Centre, McGill University, Montreal, Canada
| | - Mary G Sorci-Thomas
- Division of Endocrinology, Metabolism and Clinical Nutrition, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Stella S Daskalopoulou
- Division of Experimental Medicine, Department of Medicine, Faculty of Medicine, Research Institute of the McGill University Health Centre, McGill University, Montreal, Canada
- Division of Internal Medicine, Department of Medicine, Faculty of Medicine, McGill University Health Centre, McGill University Montreal, Montreal, Canada
| |
Collapse
|
34
|
Xie R, Huang X, Liu Q, Liu M. Positive association between high-density lipoprotein cholesterol and bone mineral density in U.S. adults: the NHANES 2011-2018. J Orthop Surg Res 2022; 17:92. [PMID: 35168655 PMCID: PMC8848786 DOI: 10.1186/s13018-022-02986-w] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 02/03/2022] [Indexed: 12/31/2022] Open
Abstract
Background Serum lipids are highly inheritable and play a major role in bone health. However, the relationship between high-density lipoprotein cholesterol (HDL-C) and bone mineral density (BMD) remains uncertain. The goal of this study was to see if there was a link between HDL-C levels and BMD in persons aged 20–59. Methods Multivariate logistic regression models were used to determine the link between HDL-C and lumbar BMD using data from the National Health and Nutrition Examination Survey (NHANES) 2011–2018. Generalized additive models and fitted smoothing curves were also used. Results The analysis included a total of 10,635 adults. After controlling for various variables, we discovered that HDL-C was positively linked with lumbar BMD. The favorable connection of HDL-C with lumbar BMD was maintained in subgroup analyses stratified by sex and race in women, but not in men, and in blacks, but not in whites. The relationship between HDL-C and lumbar BMD in men and whites was a U-shaped curve with the same inflection point: 0.98 mmol/L. Conclusions In people aged 20 to 59, our research discovered a positive relationship among HDL-C and lumbar BMD. Among males and whites, this relationship followed a U-shaped curve (inflection point: 0.98 mmol/L). HDL-C measurement might be used as a responsive biomarker for detecting osteoporosis early and guiding therapy.
Collapse
Affiliation(s)
- Ruijie Xie
- Department of Hand Surgery, The Affiliated Nanhua Hospital, Hengyang Medical School, University of South China, Hengyang, 421002, China
| | - Xiongjie Huang
- Department of Hand Surgery, The Affiliated Nanhua Hospital, Hengyang Medical School, University of South China, Hengyang, 421002, China
| | - Qianlong Liu
- Department of Hand Surgery, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, 410004, China
| | - Mingjiang Liu
- Department of Hand Surgery, The Affiliated Nanhua Hospital, Hengyang Medical School, University of South China, Hengyang, 421002, China.
| |
Collapse
|
35
|
Xuan Q, Hu C, Zhang Y, Wang Q, Zhao X, Liu X, Wang C, Jia W, Xu G. Serum lipidomics profiles reveal potential lipid markers for prediabetes and type 2 diabetes in patients from multiple communities. Front Endocrinol (Lausanne) 2022; 13:966823. [PMID: 36060983 PMCID: PMC9434798 DOI: 10.3389/fendo.2022.966823] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Accepted: 07/21/2022] [Indexed: 12/02/2022] Open
Abstract
OBJECTIVE Dyslipidemia is a hallmark of diabetes mellitus (DM). However, specific lipid molecules closely associated with the initiation and progression of diabetes remain unclear. We used a pseudotargeted lipidomics approach to evaluate the complex lipid changes that occurred long before the diagnosis of type 2 diabetes mellitus (T2DM) and to identify novel lipid markers for screening prediabetes mellitus (PreDM) and T2DM in patients from multiple communities. METHODS Four hundred and eighty-one subjects consisting of T2DM, three subtypes of PreDM, and normal controls (NC) were enrolled as discovery cohort. Serum lipidomic profiles of 481 subjects were analyzed using an ultrahigh performance liquid chromatography-triple quadrupole mass spectrometry (UHPLC-QqQ-MS)-based pseudotargeted lipidomics method. The differential lipid molecules were further validated in an independent case-control study consisting of 150 PreDM, 234 T2DM and 94 NC. RESULTS Multivariate discriminative analyses show that lipidomics data have considerable potential for identifying lipidome differences among T2DM, subtypes of PreDM and NC. Statistical associations of lipid (sub)species display significant variations in 11 lipid (sub)species levels for T2DM and distinctive differences in 8 lipid (sub)species levels between prediabetic and normoglycemic individuals, with further differences in 8 lipid (sub)species levels among subtypes of PreDM. Adjusted for sex, age and BMI, only two lipid (sub)species of fatty acid (FA) and phosphatidylcholine (PC) were associated at p< 0.05 for PreDM (all) and subtypes of PreDM. The defined lipid markers not only significantly improve the diagnostic accuracy of PreDM and T2DM but also effectively evaluating the risk of developing into each subtype of PreDM and T2DM when addition of age, sex, BMI, and FPG, respectively. CONCLUSIONS Our findings improve insights into the lipid metabolic complexity and interindividual variations among subtypes of PreDM and T2DM, beyond the well-known differences in dyslipidemia in clinic.
Collapse
Affiliation(s)
- Qiuhui Xuan
- Chinese Academy of Sciences (CAS) Key Laboratory of Separation Sciences for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
- Department of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Chunxiu Hu
- Chinese Academy of Sciences (CAS) Key Laboratory of Separation Sciences for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yinan Zhang
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Endocrine and Metabolic Diseases, Metabolic Diseases Biobank, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Qingqing Wang
- Chinese Academy of Sciences (CAS) Key Laboratory of Separation Sciences for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xinjie Zhao
- Chinese Academy of Sciences (CAS) Key Laboratory of Separation Sciences for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xinyu Liu
- Chinese Academy of Sciences (CAS) Key Laboratory of Separation Sciences for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Congrong Wang
- Department of Endocrinology and Metabolism, Shanghai Fourth People’s Hospital, Tongji University School of Medicine, Shanghai, China
- *Correspondence: Guowang Xu, ; Weiping Jia, ; Congrong Wang,
| | - Weiping Jia
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Endocrine and Metabolic Diseases, Metabolic Diseases Biobank, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
- *Correspondence: Guowang Xu, ; Weiping Jia, ; Congrong Wang,
| | - Guowang Xu
- Chinese Academy of Sciences (CAS) Key Laboratory of Separation Sciences for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
- University of Chinese Academy of Sciences, Beijing, China
- *Correspondence: Guowang Xu, ; Weiping Jia, ; Congrong Wang,
| |
Collapse
|
36
|
Wang D, Yu B, Li Q, Guo Y, Koike T, Koike Y, Wu Q, Zhang J, Mao L, Tang X, Sun L, Lin X, Wu J, Chen YE, Peng D, Zeng R. OUP accepted manuscript. J Mol Cell Biol 2022; 14:6547772. [PMID: 35278086 PMCID: PMC9254886 DOI: 10.1093/jmcb/mjac004] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 11/02/2021] [Accepted: 11/03/2021] [Indexed: 11/12/2022] Open
Abstract
Lipoprotein, especially high-density lipoprotein (HDL), particles are composed of multiple heterogeneous subgroups containing various proteins and lipids. The molecular distribution among these subgroups is closely related to cardiovascular disease (CVD). Here, we established high-resolution proteomics and lipidomics (HiPL) methods to depict the molecular profiles across lipoprotein (Lipo-HiPL) and HDL (HDL-HiPL) subgroups by optimizing the resolution of anion-exchange chromatography and comprehensive quantification of proteins and lipids on the omics level. Furthermore, based on the Pearson correlation coefficient analysis of molecular profiles across high-resolution subgroups, we achieved the relationship of proteome‒lipidome connectivity (PLC) for lipoprotein and HDL particles. By application of these methods to high-fat, high-cholesterol diet-fed rabbits and acute coronary syndrome (ACS) patients, we uncovered the delicate dynamics of the molecular profile and reconstruction of lipoprotein and HDL particles. Of note, the PLC features revealed by the HDL-HiPL method discriminated ACS from healthy individuals better than direct proteome and lipidome quantification or PLC features revealed by the Lipo-HiPL method, suggesting their potential in ACS diagnosis. Together, we established HiPL methods to trace the dynamics of the molecular profile and PLC of lipoprotein and even HDL during the development of CVD.
Collapse
Affiliation(s)
| | | | | | | | - Tomonari Koike
- Department of Internal Medicine, Cardiovascular Center, University of Michigan Medical Center, Ann Arbor, MI 48109, USA
| | - Yui Koike
- Department of Internal Medicine, Cardiovascular Center, University of Michigan Medical Center, Ann Arbor, MI 48109, USA
| | - Qingqing Wu
- CAS Key Laboratory of Systems Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Jifeng Zhang
- Department of Internal Medicine, Cardiovascular Center, University of Michigan Medical Center, Ann Arbor, MI 48109, USA
| | - Ling Mao
- Department of Cardiovascular Medicine, the Second Xiangya Hospital, Central South University, Changsha 410011, China
| | - Xiaoyu Tang
- Department of Cardiovascular Medicine, the Second Xiangya Hospital, Central South University, Changsha 410011, China
| | - Liang Sun
- Key Laboratory of Nutrition and Metabolism, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai 200031, China
| | - Xu Lin
- Key Laboratory of Nutrition and Metabolism, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai 200031, China
| | - Jiarui Wu
- CAS Key Laboratory of Systems Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- CAS Key Laboratory of Systems Biology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Hangzhou 310024, China
| | | | | | - Rong Zeng
- Correspondence to: Rong Zeng, E-mail:
| |
Collapse
|
37
|
Zhang W, Jin J, Zhang H, Zhu Y, Dong Q, Sun J, Guo Y, Dou K, Xu R, Li J. The value of HDL subfractions in predicting cardiovascular outcomes in untreated, diabetic patients with stable coronary artery disease: An age- and gender-matched case-control study. Front Endocrinol (Lausanne) 2022; 13:1041555. [PMID: 36714594 PMCID: PMC9877453 DOI: 10.3389/fendo.2022.1041555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2022] [Accepted: 12/28/2022] [Indexed: 01/14/2023] Open
Abstract
OBJECTIVE The aim of the present study was to examine the value of high-density lipoprotein (HDL) subfractions for predicting cardiovascular events (CVEs) in untreated type 2 diabetes mellitus (T2DM) patients with stable coronary artery disease (SCAD) using an age- and gender-matched case-control study. METHODS In total, 185 SCAD patients and 185 T2DM patients with SCAD were enrolled and subjected to a clinical follow-up of CVEs. HDL subfractions were analyzed using the Quantimetrix Lipoprint System. The relationship between HDL subfractions and CVEs in T2DM patients with SCAD was evaluated by Kaplan-Meier analysis and Cox proportional hazard models. RESULTS During a median 37.7-month follow-up, T2DM patients with SCAD had a higher percentage of CVEs compared to SCAD patients (p=0.039). The concentration of the combined intermediate and small HDL-C subfraction (defined as the mixed HDL subfraction) was related to the event incidence in T2DM patients with SCAD (p=0.004), and it was positively associated with increased CVEs even after adjustment in three models. Kaplan-Meier curve analysis indicated that T2DM patients with SCAD in the high mixed HDL subfraction group (>28 mg/dL) had lower event-free survival rates (p=0.008). CONCLUSIONS Elevated concentration of the mixed HDL subfraction concentration predicts events in T2DM patients with SCAD.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | - Ruixia Xu
- *Correspondence: Ruixia Xu, ; JianJun Li,
| | - JianJun Li
- *Correspondence: Ruixia Xu, ; JianJun Li,
| |
Collapse
|
38
|
Elevated levels of apolipoprotein D predict poor outcome in patients with suspected or established coronary artery disease. Atherosclerosis 2021; 341:27-33. [PMID: 34959206 DOI: 10.1016/j.atherosclerosis.2021.12.011] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 11/23/2021] [Accepted: 12/17/2021] [Indexed: 11/20/2022]
Abstract
BACKGROUND AND AIMS Apolipoprotein D (apoD) is a lipocalin exerting neuroprotective effects. However, the relevance of apoD in respect to cardiovascular risk is largely unexplored. Therefore, this study aimed to evaluate the ability of apoD to predict future all-cause mortality, cardiovascular mortality, and cardiovascular events. METHODS Serum apoD levels were measured in a cohort of 531 Caucasian individuals who underwent coronary angiography (356 males, 175 females; mean age 65 ± 10 years). Fatal and non-fatal events were recorded over a median follow-up period of 5.8 years. RESULTS ApoD concentrations at baseline correlated significantly with age, presence of the metabolic syndrome, body mass index, lipoprotein levels, fasting glucose, and estimated glomerular filtration rate. Kaplan-Meier curve analyses by gender-stratified quartiles of apoD revealed that the cumulative incidence rates of mortality and cardiovascular events become higher with increasing apoD levels. The adjusted hazard ratios for participants in the highest quartile of apoD compared to those in the lowest quartile were 4.00 (95% confidence interval [CI] 1.49-10.74) for overall mortality, 5.47 (95% CI 1.20-25.00) for cardiovascular mortality, and 2.52 (95% CI 1.28-5.00) for cardiovascular events. CONCLUSIONS High circulating levels of apoD are an indicator of poor prognosis in patients with suspected or established coronary artery disease.
Collapse
|
39
|
Sun Q, Liu J, Wu L, Sun Y, Jin J, Wang S, Wu J, Jing Y, Zhou H, Dong C. Associations of visit-to-visit variabilities and trajectories of serum lipids with the future probability of type 2 diabetes mellitus. Lipids Health Dis 2021; 20:168. [PMID: 34838070 PMCID: PMC8627625 DOI: 10.1186/s12944-021-01592-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Accepted: 11/02/2021] [Indexed: 12/12/2022] Open
Abstract
Background Serum lipid abnormalities are generally considered as a major risk factor for type 2 diabetes mellitus (T2DM). However, evidence for the effect of long-term serum lipid fluctuations on future T2DM probability remains limited. Methods A total of 4475 nondiabetic participants who underwent annual health examinations between 2010 and 2013 were followed for the subsequent 5-year risk of T2DM. The Cox proportional hazards model was performed to evaluate the associations of visit-to-visit variabilities and trajectories of triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-c) and low-density lipoprotein cholesterol (LDL-c) with T2DM probability. Results During the five-year follow-up, 223 newly developed T2DM cases were identified. Compared with the “Low” TG trajectory, “Moderate” and “Moderate-High” TG trajectories were significantly associated with T2DM incidence, with adjusted hazard ratios (HRs) and 95 % confidence intervals (CIs) of 1.51 (1.12-2.03) and 2.55 (1.62-4.03), respectively. Additionally, participants in the third and fourth quartiles of TG/standard deviation (SD) were associated with increased T2DM probability when compared with those in the lowest quartile. After excluding individuals with prediabetes, participants with “Moderate-High” TG trajectory still had a 2.43-fold greater risk of T2DM compared with those with “Low” TG trajectory (95 % CI: 1.28-4.63). In addition, compared with participants in “Low” HDL-c trajectory, the future T2DM probability was significantly reduced in those with “Moderate” and “High” HDL-c trajectories, with HR (95 % CI) of 0.52 (0.37-0.72) and 0.38 (0.18-0.80), respectively. After excluding individuals with prediabetes, the “Moderate” HDL-c trajectory remained associated with decreased T2DM probability when compared with “Low” HDL-c trajectory (HR: 0.55, 95 % CI: 0.35-0.88). However, the incidence of T2DM was not associated with the long-term fluctuations of TC and LDL-c. Conclusions Long-term visit-to-visit variability of TG, and the change trajectories of TG and HDL-c were significantly associated with future T2DM probability. Moreover, these associations were not affected after excluding individuals with prediabetes. Supplementary Information The online version contains supplementary material available at 10.1186/s12944-021-01592-9.
Collapse
Affiliation(s)
- Qian Sun
- Department of Epidemiology and Statistics, School of Public Health, Jiangsu Key Laboratory and Translational Medicine for Geriatric Disease, Medical College of Soochow University, Soochow, Jiangsu, China
| | - Jingchao Liu
- Suzhou Wuzhong Centers for Disease Control and Prevention, Soochow, China
| | - Lei Wu
- Suzhou Industrial Park Centers for Disease Control and Prevention, Soochow, China
| | - Yue Sun
- Department of Epidemiology and Statistics, School of Public Health, Jiangsu Key Laboratory and Translational Medicine for Geriatric Disease, Medical College of Soochow University, Soochow, Jiangsu, China
| | - Jianrong Jin
- Suzhou Wuzhong Centers for Disease Control and Prevention, Soochow, China
| | - Sudan Wang
- Department of Epidemiology and Statistics, School of Public Health, Jiangsu Key Laboratory and Translational Medicine for Geriatric Disease, Medical College of Soochow University, Soochow, Jiangsu, China
| | - Jing Wu
- Department of Epidemiology and Statistics, School of Public Health, Jiangsu Key Laboratory and Translational Medicine for Geriatric Disease, Medical College of Soochow University, Soochow, Jiangsu, China
| | - Yang Jing
- Suzhou Industrial Park Centers for Disease Control and Prevention, Soochow, China
| | - Hui Zhou
- Suzhou Industrial Park Centers for Disease Control and Prevention, Soochow, China.
| | - Chen Dong
- Department of Epidemiology and Statistics, School of Public Health, Jiangsu Key Laboratory and Translational Medicine for Geriatric Disease, Medical College of Soochow University, Soochow, Jiangsu, China.
| |
Collapse
|
40
|
Goetze S, Frey K, Rohrer L, Radosavljevic S, Krützfeldt J, Landmesser U, Bueter M, Pedrioli PGA, von Eckardstein A, Wollscheid B. Reproducible Determination of High-Density Lipoprotein Proteotypes. J Proteome Res 2021; 20:4974-4984. [PMID: 34677978 DOI: 10.1021/acs.jproteome.1c00429] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
High-density lipoprotein (HDL) is a heterogeneous mixture of blood-circulating multimolecular particles containing many different proteins, lipids, and RNAs. Recent advancements in mass spectrometry-based proteotype analysis show promise for the analysis of proteoforms across large patient cohorts. In order to create the required spectral libraries enabling these data-independent acquisition (DIA) strategies, HDL was isolated from the plasma of more than 300 patients with a multiplicity of physiological HDL states. HDL proteome spectral libraries consisting of 296 protein groups and more than 786 peptidoforms were established, and the performance of the DIA strategy was benchmarked for the detection of HDL proteotype differences between healthy individuals and a cohort of patients suffering from diabetes mellitus type 2 and/or coronary heart disease. Bioinformatic interrogation of the data using the generated spectral libraries showed that the DIA approach enabled robust HDL proteotype determination. HDL peptidoform analysis enabled by using spectral libraries allowed for the identification of post-translational modifications, such as in APOA1, which could affect HDL functionality. From a technical point of view, data analysis further shows that protein and peptide quantities are currently more discriminative between different HDL proteotypes than peptidoforms without further enrichment. Together, DIA-based HDL proteotyping enables the robust digitization of HDL proteotypes as a basis for the analysis of larger clinical cohorts.
Collapse
Affiliation(s)
- Sandra Goetze
- Institute of Translational Medicine (ITM), Department of Health Sciences and Technology (D-HEST), ETH Zurich, Zurich 8093, Switzerland.,Swiss Multi-Omics Center (SMOC), PHRT-CPAC, ETH Zurich, Zurich 8093, Switzerland.,Swiss Institute of Bioinformatics (SIB), Lausanne 1015, Switzerland
| | - Kathrin Frey
- Institute of Translational Medicine (ITM), Department of Health Sciences and Technology (D-HEST), ETH Zurich, Zurich 8093, Switzerland
| | - Lucia Rohrer
- Institute for Clinical Chemistry, University Hospital Zurich, Zurich 8091, Switzerland
| | - Silvija Radosavljevic
- Institute for Clinical Chemistry, University Hospital Zurich, Zurich 8091, Switzerland
| | - Jan Krützfeldt
- Division of Endocrinology, Diabetes and Clinical Nutrition, University Hospital Zurich, Zurich 8091, Switzerland
| | - Ulf Landmesser
- Department of Cardiology, Charité - Universitätsmedizin Berlin, Berlin 12203, Germany
| | - Marco Bueter
- Department of Surgery and Transplantation, University Hospital Zurich, Zurich 8091, Switzerland
| | - Patrick G A Pedrioli
- Institute of Translational Medicine (ITM), Department of Health Sciences and Technology (D-HEST), ETH Zurich, Zurich 8093, Switzerland.,Swiss Multi-Omics Center (SMOC), PHRT-CPAC, ETH Zurich, Zurich 8093, Switzerland.,Swiss Institute of Bioinformatics (SIB), Lausanne 1015, Switzerland
| | | | - Bernd Wollscheid
- Institute of Translational Medicine (ITM), Department of Health Sciences and Technology (D-HEST), ETH Zurich, Zurich 8093, Switzerland.,Swiss Multi-Omics Center (SMOC), PHRT-CPAC, ETH Zurich, Zurich 8093, Switzerland.,Swiss Institute of Bioinformatics (SIB), Lausanne 1015, Switzerland
| |
Collapse
|
41
|
Huang R, Yan L, Lei Y. The relationship between high-density lipoprotein cholesterol (HDL-C) and glycosylated hemoglobin in diabetic patients aged 20 or above: a cross-sectional study. BMC Endocr Disord 2021; 21:198. [PMID: 34635098 PMCID: PMC8507179 DOI: 10.1186/s12902-021-00863-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 09/17/2021] [Indexed: 12/17/2022] Open
Abstract
AIM The incidence rate of diabetes is increasing year by year, seriously threatening human health. As a predictor of glycemic control, glycated hemoglobin is reported to be related to various complications and prognoses of diabetes. Besides, HDL-C dyslipidemia is a component of metabolic syndrome and may be related to various cardiovascular and cerebrovascular diseases. The principal objective of this project was to investigate the relationship between HDL-C and glycosylated hemoglobin in adult diabetic patients. METHODS A total of 3171 adult diabetic patients aged 20 years and above were included in the present study from the National Health and Nutrition Examination Survey (NHANES). HDL-C and glycosylated hemoglobin were regarded as independent and dependent variables, respectively. EmpowerStats software and R (version 3.4.3) were used to examine the association between HDL-C and glycosylated hemoglobin. RESULTS HDL-C was inversely associated with glycohemoglobin after adjusting for other covariates (β = - 0.004, 95% CI:- 0.008 to - 0.000, p = 0.044). Race/ethnicity and age were considered the most prominent interactive factors that affect the relationship between HDL and glycosylated hemoglobin by the interaction analysis. A U-shaped association was detected between HDL-C and glycosylated hemoglobin for people of other race/ethnicity or aged 60 and above, which had an inflection point of HDL-C at 60 mg/dL. In contrast, we observed an inverted U-shaped distribution between HDL-C and glycosylated hemoglobin in people under 40 with point of inflection located at 60 mg/dL as well. CONCLUSIONS HDL-C in diabetic patients is inversely associated with glycosylated hemoglobin and may be relevant to glycemic control. However, a U-shaped relationship was also observed in a certain kind of people, which implied that, though HDL-C is considered as metabolism and anti-atherogenic property, for diabetics, it is not the higher, the better.
Collapse
Affiliation(s)
- Rui Huang
- Cardiovascular Disease Center, Central Hospital of Tujia and Miao Autonomous Prefecture, Enshi Clinical College of Wuhan University, No.158 Wuyang Avenue, Enshi City, 445000, Hubei Province, China
| | - Li Yan
- Pediatrics Department, Central Hospital of Tujia and Miao Autonomous Prefecture, Enshi Clinical College of Wuhan University, No.158 Wuyang Avenue, Enshi City, 445000, Hubei Province, China
| | - Yuhua Lei
- Cardiovascular Disease Center, Central Hospital of Tujia and Miao Autonomous Prefecture, Enshi Clinical College of Wuhan University, No.158 Wuyang Avenue, Enshi City, 445000, Hubei Province, China.
| |
Collapse
|
42
|
Velagapudi S, Rohrer L, Poti F, Feuerborn R, Perisa D, Wang D, Panteloglou G, Potapenko A, Yalcinkaya M, Hülsmeier AJ, Hesse B, Lukasz A, Liu M, Parks JS, Christoffersen C, Stoffel M, Simoni M, Nofer JR, von Eckardstein A. Apolipoprotein M and Sphingosine-1-Phosphate Receptor 1 Promote the Transendothelial Transport of High-Density Lipoprotein. Arterioscler Thromb Vasc Biol 2021; 41:e468-e479. [PMID: 34407633 PMCID: PMC8458249 DOI: 10.1161/atvbaha.121.316725] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Objective: ApoM enriches S1P (sphingosine-1-phosphate) within HDL (high-density lipoproteins) and facilitates the activation of the S1P1 (S1P receptor type 1) by S1P, thereby preserving endothelial barrier function. Many protective functions exerted by HDL in extravascular tissues raise the question of how S1P regulates transendothelial HDL transport. Approach and Results: HDL were isolated from plasma of wild-type mice, Apom knockout mice, human apoM transgenic mice or humans and radioiodinated to trace its binding, association, and transport by bovine or human aortic endothelial cells. We also compared the transport of fluorescently-labeled HDL or Evans Blue, which labels albumin, from the tail vein into the peritoneal cavity of apoE-haploinsufficient mice with (apoE-haploinsufficient mice with endothelium-specific knockin of S1P1) or without (control mice, ie, apoE-haploinsufficient mice without endothelium-specific knockin of S1P1) endothelium-specific knockin of S1P1. The binding, association, and transport of HDL from Apom knockout mice and human apoM-depleted HDL by bovine aortic endothelial cells was significantly lower than that of HDL from wild-type mice and human apoM-containing HDL, respectively. The binding, uptake, and transport of 125I-HDL by human aortic endothelial cells was increased by an S1P1 agonist but decreased by an S1P1 inhibitor. Silencing of SR-BI (scavenger receptor BI) abrogated the stimulation of 125I-HDL transport by the S1P1 agonist. Compared with control mice, that is, apoE-haploinsufficient mice without endothelium-specific knockin of S1P1, apoE-haploinsufficient mice with endothelium-specific knockin of S1P1 showed decreased transport of Evans Blue but increased transport of HDL from blood into the peritoneal cavity and SR-BI expression in the aortal endothelium. Conclusions: ApoM and S1P1 promote transendothelial HDL transport. Their opposite effect on transendothelial transport of albumin and HDL indicates that HDL passes endothelial barriers by specific mechanisms rather than passive filtration.
Collapse
Affiliation(s)
- Srividya Velagapudi
- Institute of Clinical Chemistry, University of Zurich and University Hospital of Zurich, Switzerland (S.V., L.R., D.P., D.W., G.P., A.P., M.Y., A.J.H., A.v.E.)
| | - Lucia Rohrer
- Institute of Clinical Chemistry, University of Zurich and University Hospital of Zurich, Switzerland (S.V., L.R., D.P., D.W., G.P., A.P., M.Y., A.J.H., A.v.E.)
| | - Francesco Poti
- Unit of Neurosciences, Department of Medicine and Surgery, University of Parma, Italy (F.P.)
- Unit of Endocrinology, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Italy (F.P., M. Simoni, J.-R.N.)
| | - Renate Feuerborn
- Central Laboratory Facility, University Hospital of Münster, Germany (R.F., J.-R.N.)
| | - Damir Perisa
- Institute of Clinical Chemistry, University of Zurich and University Hospital of Zurich, Switzerland (S.V., L.R., D.P., D.W., G.P., A.P., M.Y., A.J.H., A.v.E.)
| | - Dongdong Wang
- Institute of Clinical Chemistry, University of Zurich and University Hospital of Zurich, Switzerland (S.V., L.R., D.P., D.W., G.P., A.P., M.Y., A.J.H., A.v.E.)
| | - Grigorios Panteloglou
- Institute of Clinical Chemistry, University of Zurich and University Hospital of Zurich, Switzerland (S.V., L.R., D.P., D.W., G.P., A.P., M.Y., A.J.H., A.v.E.)
| | - Anton Potapenko
- Institute of Clinical Chemistry, University of Zurich and University Hospital of Zurich, Switzerland (S.V., L.R., D.P., D.W., G.P., A.P., M.Y., A.J.H., A.v.E.)
| | - Mustafa Yalcinkaya
- Institute of Clinical Chemistry, University of Zurich and University Hospital of Zurich, Switzerland (S.V., L.R., D.P., D.W., G.P., A.P., M.Y., A.J.H., A.v.E.)
| | - Andreas J Hülsmeier
- Institute of Clinical Chemistry, University of Zurich and University Hospital of Zurich, Switzerland (S.V., L.R., D.P., D.W., G.P., A.P., M.Y., A.J.H., A.v.E.)
| | - Bettina Hesse
- Department of Medicine D, Division of General Internal Medicine, Nephrology, and Rheumatology, University Hospital Münster, Germany (B.H., A.L.)
| | - Alexander Lukasz
- Department of Medicine D, Division of General Internal Medicine, Nephrology, and Rheumatology, University Hospital Münster, Germany (B.H., A.L.)
| | - Mingxia Liu
- Department of Internal Medicine/Section of Molecular Medicine, Wake Forest School of Medicine, Winston-Salem, NC (M.L., J.S.P.)
| | - John S Parks
- Department of Internal Medicine/Section of Molecular Medicine, Wake Forest School of Medicine, Winston-Salem, NC (M.L., J.S.P.)
| | - Christina Christoffersen
- Department of Biomedical Science, University of Copenhagen, Denmark (C.C.)
- Department of Clinical Biochemistry, Rigshospitalet, Copenhagen, Denmark (C.C.)
| | - Markus Stoffel
- Institute of Molecular Health Sciences, ETH Zurich, Switzerland (M. Stoffel)
| | - Manuela Simoni
- Unit of Endocrinology, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Italy (F.P., M. Simoni, J.-R.N.)
| | - Jerzy-Roch Nofer
- Unit of Endocrinology, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Italy (F.P., M. Simoni, J.-R.N.)
- Central Laboratory Facility, University Hospital of Münster, Germany (R.F., J.-R.N.)
- Institute of Clinical Chemistry and Laboratory Medicine, University Medical Center Hamburg-Eppendorf, Germany (J.-R.N.)
| | - Arnold von Eckardstein
- Institute of Clinical Chemistry, University of Zurich and University Hospital of Zurich, Switzerland (S.V., L.R., D.P., D.W., G.P., A.P., M.Y., A.J.H., A.v.E.)
| |
Collapse
|
43
|
von Eckardstein A. High Density Lipoproteins: Is There a Comeback as a Therapeutic Target? Handb Exp Pharmacol 2021; 270:157-200. [PMID: 34463854 DOI: 10.1007/164_2021_536] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Low plasma levels of High Density Lipoprotein (HDL) cholesterol (HDL-C) are associated with increased risks of atherosclerotic cardiovascular disease (ASCVD). In cell culture and animal models, HDL particles exert multiple potentially anti-atherogenic effects. However, drugs increasing HDL-C have failed to prevent cardiovascular endpoints. Mendelian Randomization studies neither found any genetic causality for the associations of HDL-C levels with differences in cardiovascular risk. Therefore, the causal role and, hence, utility as a therapeutic target of HDL has been questioned. However, the biomarker "HDL-C" as well as the interpretation of previous data has several important limitations: First, the inverse relationship of HDL-C with risk of ASCVD is neither linear nor continuous. Hence, neither the-higher-the-better strategies of previous drug developments nor previous linear cause-effect relationships assuming Mendelian randomization approaches appear appropriate. Second, most of the drugs previously tested do not target HDL metabolism specifically so that the futile trials question the clinical utility of the investigated drugs rather than the causal role of HDL in ASCVD. Third, the cholesterol of HDL measured as HDL-C neither exerts nor reports any HDL function. Comprehensive knowledge of structure-function-disease relationships of HDL particles and associated molecules will be a pre-requisite, to test them for their physiological and pathogenic relevance and exploit them for the diagnostic and therapeutic management of individuals at HDL-associated risk of ASCVD but also other diseases, for example diabetes, chronic kidney disease, infections, autoimmune and neurodegenerative diseases.
Collapse
Affiliation(s)
- Arnold von Eckardstein
- Institute of Clinical Chemistry, University Hospital Zurich and University of Zurich, Zurich, Switzerland.
| |
Collapse
|
44
|
Abstract
Lipids are natural substances found in all living organisms and involved in many biological functions. Imbalances in the lipid metabolism are linked to various diseases such as obesity, diabetes, or cardiovascular disease. Lipids comprise thousands of chemically distinct species making them a challenge to analyze because of their great structural diversity.Thanks to the technological improvements in the fields of chromatography, high-resolution mass spectrometry, and bioinformatics over the last years, it is now possible to perform global lipidomics analyses, allowing the concomitant detection, identification, and relative quantification of hundreds of lipid species. This review shall provide an insight into a general lipidomics workflow and its application in metabolic biomarker research.
Collapse
|
45
|
Schoch L, Badimon L, Vilahur G. Unraveling the Complexity of HDL Remodeling: On the Hunt to Restore HDL Quality. Biomedicines 2021; 9:805. [PMID: 34356869 PMCID: PMC8301317 DOI: 10.3390/biomedicines9070805] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 07/08/2021] [Accepted: 07/09/2021] [Indexed: 12/26/2022] Open
Abstract
Increasing evidence has cast doubt over the HDL-cholesterol hypothesis. The complexity of the HDL particle and its proven susceptibility to remodel has paved the way for intense molecular investigation. This state-of-the-art review discusses the molecular changes in HDL particles that help to explain the failure of large clinical trials intending to interfere with HDL metabolism, and details the chemical modifications and compositional changes in HDL-forming components, as well as miRNA cargo, that render HDL particles ineffective. Finally, the paper discusses the challenges that need to be overcome to shed a light of hope on HDL-targeted approaches.
Collapse
Affiliation(s)
- Leonie Schoch
- Cardiovascular Program, Institut de Recerca, Hospital Santa Creu i Sant Pau, 08025 Barcelona, Spain; (L.S.); (L.B.)
- Faculty of Medicine, University of Barcelona (UB), 08036 Barcelona, Spain
| | - Lina Badimon
- Cardiovascular Program, Institut de Recerca, Hospital Santa Creu i Sant Pau, 08025 Barcelona, Spain; (L.S.); (L.B.)
- CiberCV, 08025 Barcelona, Spain
- Cardiovascular Research Chair, UAB, 08025 Barcelona, Spain
| | - Gemma Vilahur
- Cardiovascular Program, Institut de Recerca, Hospital Santa Creu i Sant Pau, 08025 Barcelona, Spain; (L.S.); (L.B.)
- CiberCV, 08025 Barcelona, Spain
| |
Collapse
|
46
|
Rohatgi A, Westerterp M, von Eckardstein A, Remaley A, Rye KA. HDL in the 21st Century: A Multifunctional Roadmap for Future HDL Research. Circulation 2021; 143:2293-2309. [PMID: 34097448 PMCID: PMC8189312 DOI: 10.1161/circulationaha.120.044221] [Citation(s) in RCA: 130] [Impact Index Per Article: 43.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Low high-density lipoprotein cholesterol (HDL-C) characterizes an atherogenic dyslipidemia that reflects adverse lifestyle choices, impaired metabolism, and increased cardiovascular risk. Low HDL-C is also associated with increased risk of inflammatory disorders, malignancy, diabetes, and other diseases. This epidemiologic evidence has not translated to raising HDL-C as a viable therapeutic target, partly because HDL-C does not reflect high-density lipoprotein (HDL) function. Mendelian randomization analyses that have found no evidence of a causal relationship between HDL-C levels and cardiovascular risk have decreased interest in increasing HDL-C levels as a therapeutic target. HDLs comprise distinct subpopulations of particles of varying size, charge, and composition that have several dynamic and context-dependent functions, especially with respect to acute and chronic inflammatory states. These functions include reverse cholesterol transport, inhibition of inflammation and oxidation, and antidiabetic properties. HDLs can be anti-inflammatory (which may protect against atherosclerosis and diabetes) and proinflammatory (which may help clear pathogens in sepsis). The molecular regulation of HDLs is complex, as evidenced by their association with multiple proteins, as well as bioactive lipids and noncoding RNAs. Clinical investigations of HDL biomarkers (HDL-C, HDL particle number, and apolipoprotein A through I) have revealed nonlinear relationships with cardiovascular outcomes, differential relationships by sex and ethnicity, and differential patterns with coronary versus noncoronary events. Novel HDL markers may also have relevance for heart failure, cancer, and diabetes. HDL function markers (namely, cholesterol efflux capacity) are associated with coronary disease, but they remain research tools. Therapeutics that manipulate aspects of HDL metabolism remain the holy grail. None has proven to be successful, but most have targeted HDL-C, not metrics of HDL function. Future therapeutic strategies should focus on optimizing HDL function in the right patients at the optimal time in their disease course. We provide a framework to help the research and clinical communities, as well as funding agencies and stakeholders, obtain insights into current thinking on these topics, and what we predict will be an exciting future for research and development on HDLs.
Collapse
Affiliation(s)
- Anand Rohatgi
- Department of Internal Medicine, Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, TX 75390
| | - Marit Westerterp
- Department of Pediatrics, Section Molecular Genetics, University Medical Center Groningen, University of Groningen, 9713 AV Groningen, The Netherlands
| | - Arnold von Eckardstein
- Institute of Clinical Chemistry, University Hospital Zurich and University of Zurich, 8091 Zurich, Switzerland
| | - Alan Remaley
- Section Chief of Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch; National Heart, Lung and Blood Institute, National Institutes of Health; Bethesda, MD
| | - Kerry-Anne Rye
- School of Medical Sciences, Faculty of Medicine, University of New South Wales Sydney, Australia, 2052
| |
Collapse
|
47
|
Bonilha I, Zimetti F, Zanotti I, Papotti B, Sposito AC. Dysfunctional High-Density Lipoproteins in Type 2 Diabetes Mellitus: Molecular Mechanisms and Therapeutic Implications. J Clin Med 2021; 10:2233. [PMID: 34063950 PMCID: PMC8196572 DOI: 10.3390/jcm10112233] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 05/14/2021] [Accepted: 05/18/2021] [Indexed: 12/29/2022] Open
Abstract
High density lipoproteins (HDLs) are commonly known for their anti-atherogenic properties that include functions such as the promotion of cholesterol efflux and reverse cholesterol transport, as well as antioxidant and anti-inflammatory activities. However, because of some chronic inflammatory diseases, such as type 2 diabetes mellitus (T2DM), significant changes occur in HDLs in terms of both structure and composition. These alterations lead to the loss of HDLs' physiological functions, to transformation into dysfunctional lipoproteins, and to increased risk of cardiovascular disease (CVD). In this review, we describe the main HDL structural/functional alterations observed in T2DM and the molecular mechanisms involved in these T2DM-derived modifications. Finally, the main available therapeutic interventions targeting HDL in diabetes are discussed.
Collapse
Affiliation(s)
- Isabella Bonilha
- Atherosclerosis and Vascular Biology Laboratory (AtheroLab), Cardiology Department, State University of Campinas (Unicamp), Campinas 13084-971, Brazil;
| | - Francesca Zimetti
- Department of Food and Drug, University of Parma, 43124 Parma, Italy; (I.Z.); (B.P.)
| | - Ilaria Zanotti
- Department of Food and Drug, University of Parma, 43124 Parma, Italy; (I.Z.); (B.P.)
| | - Bianca Papotti
- Department of Food and Drug, University of Parma, 43124 Parma, Italy; (I.Z.); (B.P.)
| | - Andrei C. Sposito
- Atherosclerosis and Vascular Biology Laboratory (AtheroLab), Cardiology Department, State University of Campinas (Unicamp), Campinas 13084-971, Brazil;
| |
Collapse
|
48
|
Syed S, Nissilä E, Ruhanen H, Fudo S, Gaytán MO, Sihvo SP, Lorey MB, Metso J, Öörni K, King SJ, Oommen OP, Jauhiainen M, Meri S, Käkelä R, Haapasalo K. Streptococcus pneumoniae pneumolysin and neuraminidase A convert high-density lipoproteins into pro-atherogenic particles. iScience 2021; 24:102535. [PMID: 34124613 PMCID: PMC8175417 DOI: 10.1016/j.isci.2021.102535] [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: 10/29/2020] [Revised: 04/19/2021] [Accepted: 05/10/2021] [Indexed: 11/19/2022] Open
Abstract
High-density lipoproteins (HDLs) are a group of different subpopulations of sialylated particles that have an essential role in the reverse cholesterol transport (RCT) pathway. Importantly, changes in the protein and lipid composition of HDLs may lead to the formation of particles with reduced atheroprotective properties. Here, we show that Streptococcus pneumoniae pneumolysin (PLY) and neuraminidase A (NanA) impair HDL function by causing chemical and structural modifications of HDLs. The proteomic, lipidomic, cellular, and biochemical analysis revealed that PLY and NanA induce significant changes in sialic acid, protein, and lipid compositions of HDL. The modified HDL particles have reduced cholesterol acceptor potential from activated macrophages, elevated levels of malondialdehyde adducts, and show significantly increased complement activating capacity. These results suggest that accumulation of these modified HDL particles in the arterial intima may present a trigger for complement activation, inflammatory response, and thereby promote atherogenic disease progression. S. pneumoniae molecules PLY and NanA target human high-density lipoprotein (HDL). These interactions result in major modifications in the HDL proteome and lipidome. Microbially modified HDL activates humoral and cell-mediated innate immune responses. The activated immune response mediates formation of pro-atherogenic epitopes on HDL.
Collapse
Affiliation(s)
- Shahan Syed
- Department of Bacteriology and Immunology, University of Helsinki, 00014 Helsinki, Finland
| | - Eija Nissilä
- Department of Bacteriology and Immunology, University of Helsinki, 00014 Helsinki, Finland
| | - Hanna Ruhanen
- Molecular and Integrative Biosciences Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, 00014 Helsinki, Finland
- Helsinki University Lipidomics Unit (HiLIPID), Helsinki Institute for Life Science (HiLIFE) and Biocenter Finland, Helsinki 00014, Finland
| | - Satoshi Fudo
- Department of Bacteriology and Immunology, University of Helsinki, 00014 Helsinki, Finland
| | - Meztlli O. Gaytán
- Center for Microbial Pathogenesis, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH 43205, USA
| | - Sanna P. Sihvo
- Molecular and Integrative Biosciences Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, 00014 Helsinki, Finland
- Helsinki University Lipidomics Unit (HiLIPID), Helsinki Institute for Life Science (HiLIFE) and Biocenter Finland, Helsinki 00014, Finland
| | | | - Jari Metso
- Minerva Foundation Institute for Medical Research, Biomedicum, 00290 Helsinki, Finland
- Genomics and Biomarkers Unit, National Institute for Health and Welfare, Helsinki, Finland
| | | | - Samantha J. King
- Center for Microbial Pathogenesis, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH 43205, USA
- Department of Pediatrics, The Ohio State University, Columbus, OH 43210, USA
| | - Oommen P. Oommen
- Bioengineering and Nanomedicine Lab, Faculty of Medicine and Health Technology and BioMediTech Institute, Tampere University, 33720 Tampere, Finland
| | - Matti Jauhiainen
- Minerva Foundation Institute for Medical Research, Biomedicum, 00290 Helsinki, Finland
- Genomics and Biomarkers Unit, National Institute for Health and Welfare, Helsinki, Finland
| | - Seppo Meri
- Department of Bacteriology and Immunology, University of Helsinki, 00014 Helsinki, Finland
| | - Reijo Käkelä
- Molecular and Integrative Biosciences Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, 00014 Helsinki, Finland
- Helsinki University Lipidomics Unit (HiLIPID), Helsinki Institute for Life Science (HiLIFE) and Biocenter Finland, Helsinki 00014, Finland
| | - Karita Haapasalo
- Department of Bacteriology and Immunology, University of Helsinki, 00014 Helsinki, Finland
- Corresponding author
| |
Collapse
|
49
|
Paavola T, Bergmann U, Kuusisto S, Kakko S, Savolainen MJ, Salonurmi T. Distinct Fatty Acid Compositions of HDL Phospholipids Are Characteristic of Metabolic Syndrome and Premature Coronary Heart Disease-Family Study. Int J Mol Sci 2021; 22:ijms22094908. [PMID: 34066314 PMCID: PMC8124224 DOI: 10.3390/ijms22094908] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 04/29/2021] [Accepted: 05/01/2021] [Indexed: 02/07/2023] Open
Abstract
HDL particles can be structurally modified in atherosclerotic disorders associated with low HDL cholesterol level (HDL-C). We studied whether the lipidome of the main phosphatidylcholine (PC), lysophosphatidylcholine (LPC) and sphingomyelin (SM) species of HDL2 and HDL3 subfractions is associated with premature coronary heart disease (CHD) or metabolic syndrome (MetS) in families where common low HDL-C predisposes to premature CHD. The lipidome was analyzed by LC-MS. Lysophosphatidylcholines were depleted of linoleic acid relative to more saturated and shorter-chained acids containing species in MetS compared with non-affected subjects: the ratio of palmitic to linoleic acid was elevated by more than 30%. A minor PC (16:0/16:1) was elevated (28–40%) in MetS. The contents of oleic acid containing PCs were elevated relative to linoleic acid containing PCs in MetS; the ratio of PC (16:0/18:1) to PC (16:0/18:2) was elevated by 11–16%. Certain PC and SM ratios, e.g., PC (18:0/20:3) to PC (16:0/18:2) and a minor SM 36:2 to an abundant SM 34:1, were higher (11–36%) in MetS and CHD. The fatty acid composition of certain LPCs and PCs displayed a characteristic pattern in MetS, enriched with palmitic, palmitoleic or oleic acids relative to linoleic acid. Certain PC and SM ratios related consistently to CHD and MetS.
Collapse
Affiliation(s)
- Timo Paavola
- Research Center for Internal Medicine, Department of Internal Medicine, Oulu University Hospital and University of Oulu, 90200 Oulu, Finland
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, 90200 Oulu, Finland
| | - Ulrich Bergmann
- Protein Analysis Core Facility, Biocenter Oulu, University of Oulu, 90570 Oulu, Finland
| | - Sanna Kuusisto
- Computational Medicine, Faculty of Medicine, Biocenter Oulu, University of Oulu, 90570 Oulu, Finland
- NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, 70210 Kuopio, Finland
| | - Sakari Kakko
- Research Center for Internal Medicine, Department of Internal Medicine, Oulu University Hospital and University of Oulu, 90200 Oulu, Finland
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, 90200 Oulu, Finland
| | - Markku J Savolainen
- Research Center for Internal Medicine, Department of Internal Medicine, Oulu University Hospital and University of Oulu, 90200 Oulu, Finland
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, 90200 Oulu, Finland
| | - Tuire Salonurmi
- Research Center for Internal Medicine, Department of Internal Medicine, Oulu University Hospital and University of Oulu, 90200 Oulu, Finland
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, 90200 Oulu, Finland
| |
Collapse
|
50
|
Robert J, Osto E, von Eckardstein A. The Endothelium Is Both a Target and a Barrier of HDL's Protective Functions. Cells 2021; 10:1041. [PMID: 33924941 PMCID: PMC8146309 DOI: 10.3390/cells10051041] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 04/19/2021] [Accepted: 04/26/2021] [Indexed: 12/11/2022] Open
Abstract
The vascular endothelium serves as a barrier between the intravascular and extravascular compartments. High-density lipoproteins (HDL) have two kinds of interactions with this barrier. First, bloodborne HDL must pass the endothelium to access extravascular tissues, for example the arterial wall or the brain, to mediate cholesterol efflux from macrophages and other cells or exert other functions. To complete reverse cholesterol transport, HDL must even pass the endothelium a second time to re-enter circulation via the lymphatics. Transendothelial HDL transport is a regulated process involving scavenger receptor SR-BI, endothelial lipase, and ATP binding cassette transporters A1 and G1. Second, HDL helps to maintain the integrity of the endothelial barrier by (i) promoting junction closure as well as (ii) repair by stimulating the proliferation and migration of endothelial cells and their progenitor cells, and by preventing (iii) loss of glycocalix, (iv) apoptosis, as well as (v) transmigration of inflammatory cells. Additional vasoprotective functions of HDL include (vi) the induction of nitric oxide (NO) production and (vii) the inhibition of reactive oxygen species (ROS) production. These vasoprotective functions are exerted by the interactions of HDL particles with SR-BI as well as specific agonists carried by HDL, notably sphingosine-1-phophate (S1P), with their specific cellular counterparts, e.g., S1P receptors. Various diseases modify the protein and lipid composition and thereby the endothelial functionality of HDL. Thorough understanding of the structure-function relationships underlying the multiple interactions of HDL with endothelial cells is expected to elucidate new targets and strategies for the treatment or prevention of various diseases.
Collapse
Affiliation(s)
| | | | - Arnold von Eckardstein
- Institute of Clinical Chemistry, University of Zurich and University Hospital of Zurich, 8091 Zurich, Switzerland; (J.R.); (E.O.)
| |
Collapse
|