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Kang H, Song J, Cheng Y. HDL regulates the risk of cardiometabolic and inflammatory-related diseases: Focusing on cholesterol efflux capacity. Int Immunopharmacol 2024; 138:112622. [PMID: 38971111 DOI: 10.1016/j.intimp.2024.112622] [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: 06/08/2024] [Revised: 06/29/2024] [Accepted: 07/01/2024] [Indexed: 07/08/2024]
Abstract
Dyslipidemia, characterized by higher serum concentrations of low-density lipoprotein cholesterol (LDL-C), very low-density lipoprotein cholesterol (VLDL-C), triglyceride (TG), and lower serum concentrations of high-density lipoprotein cholesterol (HDL-C), is confirmed as a hallmark of cardiovascular diseases (CVD), posing serious risks to the future health of humans. Aside from the role of HDL-C concentrations, the capacity of cholesterol efflux to HDL is being identified as an enssential messurement for the dyslipidemic morbidity. Through inducing the progression of reverse cholesterol transport (RCT), the HDL-related cholesterol efflux plays a vital role in atherosclerotic plaque formation. In addition, increasing results demonstrated that the relationships between cholesterol efflux and cardiovascular events might be influenced by multiple factors, such as atherosclerosis, diabetes, and, inflammatory diseases. These risk factors could affect the intracellular composition of HDL, which might subsqently influence the cholesterol efflux process induced by HDL particle. In the present comprehensive article, we summarize the latest findings which described the modulatory roles of HDL in cardiometabolic disorders and inflammatory related diseases, focusing on its capacity in mediating cholesterol efflux. Moreover, the potential mechanisms whereby HDL regulate the risk of cardiometabolic disorders or inflammatory related diseases, at least partly, via cholesterol efflux pathway, are also well-listed.
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Affiliation(s)
- Huiyuan Kang
- Department of Cardiology, the Xiamen Cardiovascular Hospital of Xiamen University, Xiamen, Fujian, China
| | - Jingjin Song
- Department of Cardiology, the Xiamen Cardiovascular Hospital of Xiamen University, Xiamen, Fujian, China
| | - Ye Cheng
- Department of Cardiology, the Xiamen Cardiovascular Hospital of Xiamen University, Xiamen, Fujian, China.
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2
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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.
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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
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3
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Zafar M, Malik IR, Mirza MR, Awan FR, Nawrocki A, Hussain M, Khan HN, Abbas S, Choudhary MI, Larsen MR. Mass-spectrometric analysis of APOB polymorphism rs1042031 (G/T) and its influence on serum proteome of coronary artery disease patients: genetic-derived proteomics consequences. Mol Cell Biochem 2024; 479:1349-1361. [PMID: 37410210 DOI: 10.1007/s11010-023-04797-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 06/18/2023] [Indexed: 07/07/2023]
Abstract
Genetic polymorphisms of apolipoprotein B gene (APOB) may result into serum proteomic perturbance in Coronary Artery Disease (CAD). The current case-control cohort of Pakistani subjects was designed to analyze the genetic influence of APOB rs1042031, (G/T) genotype on serum proteome. Subjects were categorized into two groups: CAD patients (n = 480) and healthy individuals (n = 220). For genotyping, tetra ARMS-PCR was carried out and validated through sequencing, whereas LC/MS-based proteomic analysis of serum samples was performed through label-free quantification. In initial step of genotyping, the frequencies of each genotype GG, GT, and TT were 70%, 27%, and 30% in CAD patients, while in control group, the subjects were 52%, 43%, and 5%, respectively, in CAD patients. The genotypic frequencies in patients vs. control groups found significantly different (p = 0.004), and a strong association of dominant alleles GG with the CAD was observed in both dominant (OR: 2.4 (1.71-3.34), p = 0.001) and allelic genetic models (OR: 2.0 (1.45-2.86), p = 0.001). In second step of label-free quantitation, a total of 40 significant proteins were found with altered expression in CAD patients. The enriched Gene Ontology (GO) terms of molecular functions and pathways of these protein showed upregulated pathways as follows: chylomicron remodeling and assembly, complement cascade activation, plasma lipoprotein assembly, apolipoprotein-A receptor binding, and metabolism of fat-soluble vitamins in G allele carrier of rs1042031 (G > T) vs. mutant T-allele carriers. This study provides better understanding of CAD pathobiology by proteogenomics of APOB. It evidences the influence of APOB rs1042031-dominant (GG) genotype with CAD patients.
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Affiliation(s)
- Muneeza Zafar
- Department of Biotechnology, University of Sargodha, Sargodha, Pakistan
- Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences ICCBS), University of Karachi, Karachi, 75270, Pakistan
- Diabetes and Cardio-Metabolic Disorders Laboratory, Health Biotechnology Division, National Institute for Biotechnology and Genetic Engineering (NIBGE), Jhang Road, P.O. Box. 577, Faisalabad, Pakistan
| | - Imran Riaz Malik
- Department of Biotechnology, University of Sargodha, Sargodha, Pakistan.
| | - Munazza Raza Mirza
- Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences ICCBS), University of Karachi, Karachi, 75270, Pakistan.
| | - Fazli Rabbi Awan
- Diabetes and Cardio-Metabolic Disorders Laboratory, Health Biotechnology Division, National Institute for Biotechnology and Genetic Engineering (NIBGE), Jhang Road, P.O. Box. 577, Faisalabad, Pakistan.
- Pakistan Institute of Engineering and Applied Sciences (PIEAS), NIBGE-College, Islamabad, Pakistan.
| | - Arkadiusz Nawrocki
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark
| | - Misbah Hussain
- Department of Biotechnology, University of Sargodha, Sargodha, Pakistan
- Diabetes and Cardio-Metabolic Disorders Laboratory, Health Biotechnology Division, National Institute for Biotechnology and Genetic Engineering (NIBGE), Jhang Road, P.O. Box. 577, Faisalabad, Pakistan
| | - Haq Nawaz Khan
- Diabetes and Cardio-Metabolic Disorders Laboratory, Health Biotechnology Division, National Institute for Biotechnology and Genetic Engineering (NIBGE), Jhang Road, P.O. Box. 577, Faisalabad, Pakistan
- Department of Biological and Biomedical Sciences, The Aga Khan University, Stadium Road, P.O. Box 3500, Karachi, 74800, Pakistan
| | - Shahid Abbas
- Faisalabad Institute of Cardiology (FIC), Faisalabad, Pakistan
| | - Muhammad Iqbal Choudhary
- Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences ICCBS), University of Karachi, Karachi, 75270, Pakistan
| | - Martin R Larsen
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark
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Yi M, Toribio AJ, Salem YM, Alexander M, Ferrey A, Swentek L, Tantisattamo E, Ichii H. Nrf2 Signaling Pathway as a Key to Treatment for Diabetic Dyslipidemia and Atherosclerosis. Int J Mol Sci 2024; 25:5831. [PMID: 38892018 PMCID: PMC11172493 DOI: 10.3390/ijms25115831] [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: 04/01/2024] [Revised: 05/13/2024] [Accepted: 05/18/2024] [Indexed: 06/21/2024] Open
Abstract
Diabetes mellitus (DM) is a chronic endocrine disorder that affects more than 20 million people in the United States. DM-related complications affect multiple organ systems and are a significant cause of morbidity and mortality among people with DM. Of the numerous acute and chronic complications, atherosclerosis due to diabetic dyslipidemia is a condition that can lead to many life-threatening diseases, such as stroke, coronary artery disease, and myocardial infarction. The nuclear erythroid 2-related factor 2 (Nrf2) signaling pathway is an emerging antioxidative pathway and a promising target for the treatment of DM and its complications. This review aims to explore the Nrf2 pathway's role in combating diabetic dyslipidemia. We will explore risk factors for diabetic dyslipidemia at a cellular level and aim to elucidate how the Nrf2 pathway becomes a potential therapeutic target for DM-related atherosclerosis.
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Affiliation(s)
- Michelle Yi
- Department of Surgery, University of California Irvine, Irvine, CA 92697, USA; (M.Y.); (A.J.T.); (Y.M.S.); (M.A.); (L.S.)
| | - Arvin John Toribio
- Department of Surgery, University of California Irvine, Irvine, CA 92697, USA; (M.Y.); (A.J.T.); (Y.M.S.); (M.A.); (L.S.)
| | - Yusuf Muhammad Salem
- Department of Surgery, University of California Irvine, Irvine, CA 92697, USA; (M.Y.); (A.J.T.); (Y.M.S.); (M.A.); (L.S.)
| | - Michael Alexander
- Department of Surgery, University of California Irvine, Irvine, CA 92697, USA; (M.Y.); (A.J.T.); (Y.M.S.); (M.A.); (L.S.)
| | - Antoney Ferrey
- Department of Medicine, University of California Irvine, Irvine, CA 92697, USA; (A.F.); (E.T.)
| | - Lourdes Swentek
- Department of Surgery, University of California Irvine, Irvine, CA 92697, USA; (M.Y.); (A.J.T.); (Y.M.S.); (M.A.); (L.S.)
| | - Ekamol Tantisattamo
- Department of Medicine, University of California Irvine, Irvine, CA 92697, USA; (A.F.); (E.T.)
| | - Hirohito Ichii
- Department of Surgery, University of California Irvine, Irvine, CA 92697, USA; (M.Y.); (A.J.T.); (Y.M.S.); (M.A.); (L.S.)
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Wołoszyn-Durkiewicz A, Iwaszkiewicz-Grześ D, Świętoń D, Kujawa MJ, Jankowska A, Durawa A, Glasner P, Trzonkowski P, Glasner L, Szurowska E, Myśliwiec M. The Complex Network of Cytokines and Chemokines in Pediatric Patients with Long-Standing Type 1 Diabetes. Int J Mol Sci 2024; 25:1565. [PMID: 38338843 PMCID: PMC10855710 DOI: 10.3390/ijms25031565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 01/14/2024] [Accepted: 01/19/2024] [Indexed: 02/12/2024] Open
Abstract
Type 1 diabetes (T1D) is a progressive disorder leading to the development of microangiopathies and macroangiopathies. Numerous cytokines and chemokines are involved in the pathogenesis of T1D complications. The study aimed to assess the presence of complications in patients with long-standing T1D and its relationship with serum biomarker concentrations. We examined 52 T1D subjects, with a disease duration ≥4 years and 39 healthy controls. The group of T1D patients was further divided into subgroups based on the duration of the disease (<7 years and ≥7 years) and the metabolic control assessed by the HbAlc level (<8% and ≥8%). We used Luminex Technology to assess a wide range of biomarker concentrations. A 24 h urine test was done to evaluate the rate of albuminuria. Optical coherence tomography (OCT) was conducted to detect early retinopathic changes. Subclinical atherosclerosis was assessed by measuring the carotid intima-media thickness (IMT). T1D patients showed remarkably higher concentrations of EGF, eotaxin/CCL11, MDC/CCL22, sCD40L, TGF-α, and TNF-α. Moreover, we reported statistically significant correlations between cytokines and IMT. Biomarker concentrations depend on numerous factors such as disease duration, metabolic control, and the presence of complications. Although the majority of pediatric T1D patients do not present signs of overt complications, it is indispensable to conduct the screening for angiopathies already in childhood, as its early recognition may attenuate the further progression of complications.
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Affiliation(s)
- Anna Wołoszyn-Durkiewicz
- Department of Pediatrics, Diabetology and Endocrinology, Medical University of Gdańsk, 80-211 Gdańsk, Poland;
| | - Dorota Iwaszkiewicz-Grześ
- Department of Medical Immunology, Medical University of Gdańsk, 80-211 Gdańsk, Poland; (D.I.-G.); (P.T.)
| | - Dominik Świętoń
- 2nd Department of Radiology, Medical University of Gdańsk, 80-211 Gdańsk, Poland; (D.Ś.); (A.J.); (A.D.); (E.S.)
| | - Mariusz J. Kujawa
- 2nd Department of Radiology, Medical University of Gdańsk, 80-211 Gdańsk, Poland; (D.Ś.); (A.J.); (A.D.); (E.S.)
| | - Anna Jankowska
- 2nd Department of Radiology, Medical University of Gdańsk, 80-211 Gdańsk, Poland; (D.Ś.); (A.J.); (A.D.); (E.S.)
| | - Agata Durawa
- 2nd Department of Radiology, Medical University of Gdańsk, 80-211 Gdańsk, Poland; (D.Ś.); (A.J.); (A.D.); (E.S.)
| | - Paulina Glasner
- Department of Ophthalmology, Medical University of Gdańsk, 80-214 Gdańsk, Poland; (P.G.); (L.G.)
- Department of Anesthesiology and Intensive Care, Medical University of Gdańsk, 80-214 Gdańsk, Poland
| | - Piotr Trzonkowski
- Department of Medical Immunology, Medical University of Gdańsk, 80-211 Gdańsk, Poland; (D.I.-G.); (P.T.)
| | - Leopold Glasner
- Department of Ophthalmology, Medical University of Gdańsk, 80-214 Gdańsk, Poland; (P.G.); (L.G.)
| | - Edyta Szurowska
- 2nd Department of Radiology, Medical University of Gdańsk, 80-211 Gdańsk, Poland; (D.Ś.); (A.J.); (A.D.); (E.S.)
| | - Małgorzata Myśliwiec
- Department of Pediatrics, Diabetology and Endocrinology, Medical University of Gdańsk, 80-211 Gdańsk, Poland;
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Nieddu G, Formato M, Lepedda AJ. Searching for Atherosclerosis Biomarkers by Proteomics: A Focus on Lesion Pathogenesis and Vulnerability. Int J Mol Sci 2023; 24:15175. [PMID: 37894856 PMCID: PMC10607641 DOI: 10.3390/ijms242015175] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 10/11/2023] [Accepted: 10/12/2023] [Indexed: 10/29/2023] Open
Abstract
Plaque rupture and thrombosis are the most important clinical complications in the pathogenesis of stroke, coronary arteries, and peripheral vascular diseases. The identification of early biomarkers of plaque presence and susceptibility to ulceration could be of primary importance in preventing such life-threatening events. With the improvement of proteomic tools, large-scale technologies have been proven valuable in attempting to unravel pathways of atherosclerotic degeneration and identifying new circulating markers to be utilized either as early diagnostic traits or as targets for new drug therapies. To address these issues, different matrices of human origin, such as vascular cells, arterial tissues, plasma, and urine, have been investigated. Besides, proteomics was also applied to experimental atherosclerosis in order to unveil significant insights into the mechanisms influencing atherogenesis. This narrative review provides an overview of the last twenty years of omics applications to the study of atherogenesis and lesion vulnerability, with particular emphasis on lipoproteomics and vascular tissue proteomics. Major issues of tissue analyses, such as plaque complexity, sampling, availability, choice of proper controls, and lipoproteins purification, will be raised, and future directions will be addressed.
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Affiliation(s)
| | | | - Antonio Junior Lepedda
- Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy; (G.N.); (M.F.); Antonio Junior Lepedda (A.J.L.)
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Sarkar S, Elliott EC, Henry HR, Ludovico ID, Melchior JT, Frazer-Abel A, Webb-Robertson BJ, Davidson WS, Holers VM, Rewers MJ, Metz TO, Nakayasu ES. Systematic review of type 1 diabetes biomarkers reveals regulation in circulating proteins related to complement, lipid metabolism, and immune response. Clin Proteomics 2023; 20:38. [PMID: 37735622 PMCID: PMC10512508 DOI: 10.1186/s12014-023-09429-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 08/25/2023] [Indexed: 09/23/2023] Open
Abstract
BACKGROUND Type 1 diabetes (T1D) results from an autoimmune attack of the pancreatic β cells that progresses to dysglycemia and symptomatic hyperglycemia. Current biomarkers to track this evolution are limited, with development of islet autoantibodies marking the onset of autoimmunity and metabolic tests used to detect dysglycemia. Therefore, additional biomarkers are needed to better track disease initiation and progression. Multiple clinical studies have used proteomics to identify biomarker candidates. However, most of the studies were limited to the initial candidate identification, which needs to be further validated and have assays developed for clinical use. Here we curate these studies to help prioritize biomarker candidates for validation studies and to obtain a broader view of processes regulated during disease development. METHODS This systematic review was registered with Open Science Framework ( https://doi.org/10.17605/OSF.IO/N8TSA ). Using PRISMA guidelines, we conducted a systematic search of proteomics studies of T1D in the PubMed to identify putative protein biomarkers of the disease. Studies that performed mass spectrometry-based untargeted/targeted proteomic analysis of human serum/plasma of control, pre-seroconversion, post-seroconversion, and/or T1D-diagnosed subjects were included. For unbiased screening, 3 reviewers screened all the articles independently using the pre-determined criteria. RESULTS A total of 13 studies met our inclusion criteria, resulting in the identification of 266 unique proteins, with 31 (11.6%) being identified across 3 or more studies. The circulating protein biomarkers were found to be enriched in complement, lipid metabolism, and immune response pathways, all of which are found to be dysregulated in different phases of T1D development. We found 2 subsets: 17 proteins (C3, C1R, C8G, C4B, IBP2, IBP3, ITIH1, ITIH2, BTD, APOE, TETN, C1S, C6A3, SAA4, ALS, SEPP1 and PI16) and 3 proteins (C3, CLUS and C4A) have consistent regulation in at least 2 independent studies at post-seroconversion and post-diagnosis compared to controls, respectively, making them strong candidates for clinical assay development. CONCLUSIONS Biomarkers analyzed in this systematic review highlight alterations in specific biological processes in T1D, including complement, lipid metabolism, and immune response pathways, and may have potential for further use in the clinic as prognostic or diagnostic assays.
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Affiliation(s)
- Soumyadeep Sarkar
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Emily C Elliott
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Hayden R Henry
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Ivo Díaz Ludovico
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - John T Melchior
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
- Department of Pathology and Laboratory Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Ashley Frazer-Abel
- Division of Rheumatology, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | | | - W Sean Davidson
- Department of Pathology and Laboratory Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - V Michael Holers
- Division of Rheumatology, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Marian J Rewers
- Barbara Davis Center for Diabetes, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Thomas O Metz
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Ernesto S Nakayasu
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
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Cai X, Xue Z, Zeng FF, Tang J, Yue L, Wang B, Ge W, Xie Y, Miao Z, Gou W, Fu Y, Li S, Gao J, Shuai M, Zhang K, Xu F, Tian Y, Xiang N, Zhou Y, Shan PF, Zhu Y, Chen YM, Zheng JS, Guo T. Population serum proteomics uncovers a prognostic protein classifier for metabolic syndrome. Cell Rep Med 2023; 4:101172. [PMID: 37652016 PMCID: PMC10518601 DOI: 10.1016/j.xcrm.2023.101172] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 07/31/2023] [Accepted: 08/03/2023] [Indexed: 09/02/2023]
Abstract
Metabolic syndrome (MetS) is a complex metabolic disorder with a global prevalence of 20%-25%. Early identification and intervention would help minimize the global burden on healthcare systems. Here, we measured over 400 proteins from ∼20,000 proteomes using data-independent acquisition mass spectrometry for 7,890 serum samples from a longitudinal cohort of 3,840 participants with two follow-up time points over 10 years. We then built a machine-learning model for predicting the risk of developing MetS within 10 years. Our model, composed of 11 proteins and the age of the individuals, achieved an area under the curve of 0.774 in the validation cohort (n = 242). Using linear mixed models, we found that apolipoproteins, immune-related proteins, and coagulation-related proteins best correlated with MetS development. This population-scale proteomics study broadens our understanding of MetS and may guide the development of prevention and targeted therapies for MetS.
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Affiliation(s)
- Xue Cai
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China
| | - Zhangzhi Xue
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China
| | - Fang-Fang Zeng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510080, China
| | - Jun Tang
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China; School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China
| | - Liang Yue
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China; School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China; Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China
| | - Bo Wang
- Westlake Omics (Hangzhou) Biotechnology Co., Ltd., No. 1 Yunmeng Road, Cloud Town, Xihu District, Hangzhou, Zhejiang 310024, China
| | - Weigang Ge
- Westlake Omics (Hangzhou) Biotechnology Co., Ltd., No. 1 Yunmeng Road, Cloud Town, Xihu District, Hangzhou, Zhejiang 310024, China
| | - Yuting Xie
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China; School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China; Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China
| | - Zelei Miao
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China; School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China
| | - Wanglong Gou
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China; School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China
| | - Yuanqing Fu
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China; School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China
| | - Sainan Li
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China; School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China; Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China
| | - Jinlong Gao
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China; School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China; Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China
| | - Menglei Shuai
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China; School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China
| | - Ke Zhang
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China; School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China
| | - Fengzhe Xu
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China; School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China
| | - Yunyi Tian
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China; School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China
| | - Nan Xiang
- Westlake Omics (Hangzhou) Biotechnology Co., Ltd., No. 1 Yunmeng Road, Cloud Town, Xihu District, Hangzhou, Zhejiang 310024, China
| | - Yan Zhou
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China; School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China; Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China
| | - Peng-Fei Shan
- Department of Endocrinology, the Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, Zhejiang 310009, China
| | - Yi Zhu
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China; School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China; Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China.
| | - Yu-Ming Chen
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
| | - Ju-Sheng Zheng
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China; School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China.
| | - Tiannan Guo
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China; School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China; Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China.
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9
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Gianazza E, Zoanni B, Mallia A, Brioschi M, Colombo GI, Banfi C. Proteomic studies on apoB-containing lipoprotein in cardiovascular research: A comprehensive review. MASS SPECTROMETRY REVIEWS 2023; 42:1397-1423. [PMID: 34747518 DOI: 10.1002/mas.21747] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 08/05/2021] [Accepted: 08/16/2021] [Indexed: 06/07/2023]
Abstract
The complexity of cardiovascular diseases (CVDs), which remains the leading cause of death worldwide, makes the current clinical pathway for cardiovascular risk assessment unsatisfactory, as there remains a substantial unexplained residual risk. Simultaneous assessment of a large number of plasma proteins may be a promising tool to further refine risk assessment, and lipoprotein-associated proteins have the potential to fill this gap. Technical advances now allow for high-throughput proteomic analysis in a reproducible and cost-effective manner. Proteomics has great potential to identify and quantify hundreds of candidate marker proteins in a sample and allows the translation from isolated lipoproteins to whole plasma, thus providing an individual multiplexed proteomic fingerprint. This narrative review describes the pathophysiological roles of atherogenic apoB-containing lipoproteins and the recent advances in their mass spectrometry-based proteomic characterization and quantitation for better refinement of CVD risk assessment.
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Affiliation(s)
| | | | - Alice Mallia
- Centro Cardiologico Monzino, IRCCS, Milano, Italy
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10
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Huang C, Zhang J, Huang J, Li H, Wen K, Bao J, Wu X, Sun R, Abudukeremu A, Wang Y, He Z, Chen Q, Huang X, Wang H, Zhang Y. Proteomic and functional analysis of HDL subclasses in humans and rats: a proof-of-concept study. Lipids Health Dis 2023; 22:86. [PMID: 37386457 DOI: 10.1186/s12944-023-01829-9] [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: 12/07/2022] [Accepted: 05/07/2023] [Indexed: 07/01/2023] Open
Abstract
BACKGROUND The previous study investigated whether the functions of small, medium, and large high density lipoprotein (S/M/L-HDL) are correlated with protein changes in mice. Herein, the proteomic and functional analyses of high density lipoprotein (HDL) subclasses were performed in humans and rats. METHODS After purifying S/M/L-HDL subclasses from healthy humans (n = 6) and rats (n = 3) using fast protein liquid chromatography (FPLC) with calcium silica hydrate (CSH) resin, the proteomic analysis by mass spectrometry was conducted, as well as the capacities of cholesterol efflux and antioxidation was measured. RESULTS Of the 120 and 106 HDL proteins identified, 85 and 68 proteins were significantly changed in concentration among the S/M/L-HDL subclasses in humans and rats, respectively. Interestingly, it was found that the relatively abundant proteins in the small HDL (S-HDL) and large HDL (L-HDL) subclasses did not overlap, both in humans and in rats. Next, by searching for the biological functions of the relatively abundant proteins in the HDL subclasses via Gene Ontology, it was displayed that the relatively abundant proteins involved in lipid metabolism and antioxidation were enriched more in the medium HDL (M-HDL) subclass than in the S/L-HDL subclasses in humans, whereas in rats, the relatively abundant proteins associated with lipid metabolism and anti-oxidation were enriched in M/L-HDL and S/M-HDL, respectively. Finally, it was confirmed that M-HDL and L-HDL had the highest cholesterol efflux capacity among the three HDL subclasses in humans and rats, respectively; moreover, M-HDL exhibited higher antioxidative capacity than S-HDL in both humans and rats. CONCLUSIONS The S-HDL and L-HDL subclasses are likely to have different proteomic components during HDL maturation, and results from the proteomics-based comparison of the HDL subclasses may explain the associated differences in function.
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Affiliation(s)
- Canxia Huang
- Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, 510120, China
- Critical Care Medicine Department, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China
| | - Jie Zhang
- Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, 510120, China
- Department of Cardiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China
| | - Jingjing Huang
- Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, 510120, China
- Department of Cardiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China
| | - Hongwei Li
- Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, 510120, China
- Department of Cardiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China
| | - Kexin Wen
- Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, 510120, China
- Department of Cardiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China
| | - Jinlan Bao
- Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, 510120, China
- Comprehensive Department, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China
| | - Xiaoying Wu
- Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, 510120, China
- Department of Cardiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China
| | - Runlu Sun
- Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, 510120, China
- Department of Cardiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China
| | - Ayiguli Abudukeremu
- Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, 510120, China
- Department of Cardiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China
| | - Yue Wang
- Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, 510120, China
- Department of Cardiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China
| | - Zhijian He
- Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, 510120, China
- Department of Cardiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China
| | - Qiaofei Chen
- Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, 510120, China
- Department of Cardiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China
| | - Xinyi Huang
- Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, 510120, China
- Department of Cardiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China
| | - Hong Wang
- Centers for Metabolic & Cardiovascular Research, Department of Pharmacology, Temple University School of Medicine, Philadelphia, PA, 19140, USA.
| | - Yuling Zhang
- Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, 510120, China.
- Department of Cardiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China.
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11
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Jurado-Fasoli L, Osuna-Prieto FJ, Yang W, Kohler I, Di X, Rensen PCN, Castillo MJ, Martinez-Tellez B, Amaro-Gahete FJ. High omega-6/omega-3 fatty acid and oxylipin ratio in plasma is linked to an adverse cardiometabolic profile in middle-aged adults. J Nutr Biochem 2023; 117:109331. [PMID: 36967095 DOI: 10.1016/j.jnutbio.2023.109331] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 12/09/2022] [Accepted: 03/18/2023] [Indexed: 04/16/2023]
Abstract
Omega-6 and omega-3 oxylipins may be surrogate markers of systemic inflammation, which is one of the triggers for the development of cardiometabolic disorders. In the current study, we investigated the relationship between plasma levels of omega-6 and omega-3 oxylipins with body composition and cardiometabolic risk factors in middle-aged adults. Seventy-two 72 middle-aged adults (39 women; 53.6±5.1 years old; 26.7±3.8 kg/m2) were included in this cross-sectional study. Plasma levels of omega-6 and omega-3 fatty acids and oxylipins were determined using targeted lipidomic. Body composition, dietary intake, and cardiometabolic risk factors were assessed with standard methods. The plasma levels of the omega-6 fatty acids and derived oxylipins, the hydroxyeicosatetraenoic acids (HETEs; arachidonic acid (AA)-derived oxylipins) and dihydroxy-eicosatrienoic acids (DiHETrEs; AA-derived oxylipins), were positively associated with glucose metabolism parameters (i.e., insulin levels and homeostatic model assessment of insulin resistance index (HOMA); all r≥0.21, P<.05). In contrast, plasma levels of omega-3 fatty acids and derived oxylipins, specifically hydroxyeicosapentaenoic acids (HEPEs; eicosapentaenoic acid-derived oxylipins), as well as series-3 prostaglandins, were negatively associated with plasma glucose metabolism parameters (i.e., insulin levels, HOMA; all r≤0.20, P<.05). The plasma levels of omega-6 fatty acids and derived oxylipins, HETEs and DiHETrEs were also positively correlated with liver function parameters (i.e., glutamic pyruvic transaminase, gamma-glutamyl transferase (GGT), and fatty liver index; all r≥0.22 and P<.05). In addition, individuals with higher omega-6/omega-3 fatty acid and oxylipin ratio showed higher levels of HOMA, total cholesterol, low-density lipoprotein-cholesterol, triglycerides, and GGT (on average +36%), as well as lower levels of high-density lipoprotein cholesterol (-13%) (all P<.05). In conclusion, the omega-6/omega-3 fatty acid and oxylipin ratio, as well as specific omega-6 and omega-3 oxylipins plasma levels, reflect an adverse cardiometabolic profile in terms of higher insulin resistance and impaired liver function in middle-aged adults.
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Affiliation(s)
- Lucas Jurado-Fasoli
- Department of Physiology, Faculty of Medicine, University of Granada, Granada, Spain; Department of Physical Education and Sports, Faculty of Sport Sciences, PROmoting FITness and Health through Physical Activity Research Group (PROFITH), Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain.
| | - Francisco J Osuna-Prieto
- Department of Physical Education and Sports, Faculty of Sport Sciences, PROmoting FITness and Health through Physical Activity Research Group (PROFITH), Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain; Department of Analytical Chemistry, University of Granada, Granada, Spain
| | - Wei Yang
- Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research (LACDR), Leiden University, Leiden, the Netherlands
| | - Isabelle Kohler
- Division of BioAnalytical Chemistry, Amsterdam Institute of Molecular and Life Sciences (AIMMS), Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Center for Analytical Sciences Amsterdam, Amsterdam, the Netherlands
| | - Xinyu Di
- Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research (LACDR), Leiden University, Leiden, the Netherlands
| | - Patrick C N Rensen
- Department of Medicine, Division of Endocrinology, and Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, the Netherlands
| | - Manuel J Castillo
- Department of Physiology, Faculty of Medicine, University of Granada, Granada, Spain
| | - Borja Martinez-Tellez
- Department of Physical Education and Sports, Faculty of Sport Sciences, PROmoting FITness and Health through Physical Activity Research Group (PROFITH), Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain; Department of Medicine, Division of Endocrinology, and Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, the Netherlands; Department of Education, Faculty of Education Sciences and SPORT Research Group (CTS-1024), CERNEP Research Center, University of Almería, Almería, Spain
| | - Francisco J Amaro-Gahete
- Department of Physiology, Faculty of Medicine, University of Granada, Granada, Spain; Department of Physical Education and Sports, Faculty of Sport Sciences, PROmoting FITness and Health through Physical Activity Research Group (PROFITH), Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
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12
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Nemčić M, Tijardović M, Rudman N, Bulum T, Tomić M, Plavša B, Vučković Rebrina S, Vučić Lovrenčić M, Duvnjak L, Morahan G, Gornik O. N-glycosylation of serum proteins in adult type 1 diabetes mellitus exposes further changes compared to children at the disease onset. Clin Chim Acta 2023; 543:117298. [PMID: 36925056 DOI: 10.1016/j.cca.2023.117298] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 03/09/2023] [Accepted: 03/09/2023] [Indexed: 03/17/2023]
Abstract
OBJECTIVE Previously we have shown that plasma protein N-glycosylation is changed in children at the onset of type 1 diabetes. In this study, we aim to identify N-glycan changes in adults with T1DM, compare them to those in children, and investigate their associations with disease duration, complications, glycaemic status, and smoking. METHODS Serum protein N-glycans from 200 adults with type 1 diabetes and 298 healthy controls were analysed using ultra-high performance liquid chromatography and divided into 39 directly measured glycan groups from which 16 derived traits were calculated. RESULTS Compared to healthy controls, subjects with type 1 diabetes showed differences in 19 glycan groups and a decrease in monogalactosylated, an increase in digalactosylated, monosialylated, and antennary fucosylated derived traits, from which changes in monogalactosylation and seven directly measured traits overlapped with previously reported in children. Changes in four directly measured and two derived traits previously seen in children were not detected in adults. HbA1c was positively associated with sialylated and highly branched structures, whereas N-glycome was not influenced by disease duration or diabetic complications. CONCLUSIONS Our results suggest potential N-glycome involvement in different stages of type 1 diabetes, including processes underlying its development, the disease itself, as well as those occurring after disease establishment.
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Affiliation(s)
- Matej Nemčić
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Ante Kovačića 1, 10000 Zagreb, Croatia.
| | - Marko Tijardović
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Ante Kovačića 1, 10000 Zagreb, Croatia.
| | - Najda Rudman
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Ante Kovačića 1, 10000 Zagreb, Croatia.
| | - Tomislav Bulum
- Department of Endocrinology, Vuk Vrhovac University Clinic for Diabetes, Endocrinology and Metabolic Diseases, Merkur University Hospital, Dugi dol 4A, 10000 Zagreb, Croatia.
| | - Martina Tomić
- Department of Ophthalmology, Vuk Vrhovac University Clinic, Merkur University Hospital, Dugi dol 4A, 10000 Zagreb, Croatia.
| | - Branimir Plavša
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Ante Kovačića 1, 10000 Zagreb, Croatia.
| | - Sandra Vučković Rebrina
- Department of Endocrinology, Vuk Vrhovac University Clinic for Diabetes, Endocrinology and Metabolic Diseases, Merkur University Hospital, Dugi dol 4A, 10000 Zagreb, Croatia.
| | - Marijana Vučić Lovrenčić
- Department of Clinical Chemistry and Laboratory Medicine, Merkur University Hospital, Zajčeva ul. 19, 10000 Zagreb, Croatia.
| | - Lea Duvnjak
- Department of Endocrinology, Vuk Vrhovac University Clinic for Diabetes, Endocrinology and Metabolic Diseases, Merkur University Hospital, Dugi dol 4A, 10000 Zagreb, Croatia.
| | - Grant Morahan
- Centre for Diabetes Research, The Harry Perkins Institute for Medical Research, 6 Verdun St, Nedlands WA 6009, Perth, Australia; Australian Centre for Accelerating Diabetes Innovations, University of Melbourne, Swanston St, Parkville, VIC 3052, Australia.
| | - Olga Gornik
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Ante Kovačića 1, 10000 Zagreb, Croatia.
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13
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Toyoshima MTK, Santana MFM, Silva ARM, Mello GB, Santos-Bezerra DP, Goes MFS, Bosco AA, Caramelli B, Ronsein GE, Correa-Giannella ML, Passarelli M. Proteomics of high-density lipoprotein subfractions and subclinical atherosclerosis in type 1 diabetes mellitus: a case-control study. Diabetol Metab Syndr 2023; 15:42. [PMID: 36899434 PMCID: PMC10007776 DOI: 10.1186/s13098-023-01007-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 02/20/2023] [Indexed: 03/12/2023] Open
Abstract
BACKGROUND Subclinical atherosclerosis is frequently observed in type 1 diabetes (T1D) although the mechanisms and markers involved in the evolution to established cardiovascular disease are not well known. High-density lipoprotein cholesterol in T1D is normal or even high, and changes in its functionality and proteomics are considered. Our aim was to evaluate the proteomics of HDL subfractions in T1D and control subjects and its association with clinical variables, subclinical atherosclerosis markers and HDL functionality. METHODS A total of 50 individuals with T1D and 30 matched controls were included. Carotid-femoral pulse wave velocity (PWV), flow-mediated vasodilation (FMD), cardiovascular autonomic neuropathy (CAN), and ten-year cardiovascular risk (ASCVDR) were determined. Proteomics (parallel reaction monitoring) was determined in isolated HDL2 and HDL3 that were also utilized to measure cholesterol efflux from macrophages. RESULTS Among 45 quantified proteins, 13 in HDL2 and 33 in HDL3 were differentially expressed in T1D and control subjects. Six proteins related to lipid metabolism, one to inflammatory acute phase, one to complement system and one to antioxidant response were more abundant in HDL2, while 14 lipid metabolism, three acute-phase, three antioxidants and one transport in HDL3 of T1D subjects. Three proteins (lipid metabolism, transport, and unknown function) were more abundant in HDL2; and ten (lipid metabolism, transport, protease inhibition), more abundant in HDL3 of controls. Individuals with T1D had higher PWV and ten-year ASCVDR, and lower FMD, Cholesterol efflux from macrophages was similar between T1D and controls. Proteins in HDL2 and HDL3, especially related to lipid metabolism, correlated with PWV, CAN, cholesterol efflux, HDLc, hypertension, glycemic control, ten-year ASCVDR, and statins use. CONCLUSION HDL proteomics can be predictive of subclinical atherosclerosis in type 1 diabetes. Proteins that are not involved in reverse cholesterol transport may be associated with the protective role of HDL.
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Affiliation(s)
- Marcos Tadashi K Toyoshima
- Laboratorio de Lipides (LIM10), Hospital das Clinicas (HCFMUSP) Faculdade de Medicina, Universidade de Sao Paulo, Av. Dr. Arnaldo 455, Room 3305, Sao Paulo, SP, 01246-000, Brazil
- Serviço de Onco-Endocrinologia, Instituto do Câncer do Estado de São Paulo Octávio Frias de Oliveira, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, SP, Brazil
| | - Monique F M Santana
- Laboratorio de Lipides (LIM10), Hospital das Clinicas (HCFMUSP) Faculdade de Medicina, Universidade de Sao Paulo, Av. Dr. Arnaldo 455, Room 3305, Sao Paulo, SP, 01246-000, Brazil
| | - Amanda R M Silva
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, Brazil
| | - Gabriela B Mello
- Laboratorio de Lipides (LIM10), Hospital das Clinicas (HCFMUSP) Faculdade de Medicina, Universidade de Sao Paulo, Av. Dr. Arnaldo 455, Room 3305, Sao Paulo, SP, 01246-000, Brazil
| | - Daniele P Santos-Bezerra
- Laboratório de Carboidratos e Radioimunoensaio (LIM18), Hospital das Clinicas (HCFMUSP) Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Marisa F S Goes
- Laboratório de Aterosclerose, Instituto do Coração, Hospital das Clinicas (HCFMUSP) Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Adriana A Bosco
- Laboratório de Carboidratos e Radioimunoensaio (LIM18), Hospital das Clinicas (HCFMUSP) Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Bruno Caramelli
- Unidade de Medicina Interdisciplinar em Cardiologia (UnMic), Instituto do Coração, Hospital das Clinicas (InCor, HCFMUSP) Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Graziella E Ronsein
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, Brazil
| | - Maria Lucia Correa-Giannella
- Laboratório de Carboidratos e Radioimunoensaio (LIM18), Hospital das Clinicas (HCFMUSP) Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Marisa Passarelli
- Laboratorio de Lipides (LIM10), Hospital das Clinicas (HCFMUSP) Faculdade de Medicina, Universidade de Sao Paulo, Av. Dr. Arnaldo 455, Room 3305, Sao Paulo, SP, 01246-000, Brazil.
- Programa de Pós-Graduação em Medicina, Universidade Nove de Julho, São Paulo, SP, Brazil.
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Sarkar S, Elliott EC, Henry HR, Ludovico ID, Melchior JT, Frazer-Abel A, Webb-Robertson BJ, Davidson WS, Holers VM, Rewers MJ, Metz TO, Nakayasu ES. Systematic review of type 1 diabetes biomarkers reveals regulation in circulating proteins related to complement, lipid metabolism, and immune response. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.02.21.23286132. [PMID: 36865103 PMCID: PMC9980237 DOI: 10.1101/2023.02.21.23286132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
Abstract
Aims Type 1 diabetes (T1D) results from an autoimmune attack of the pancreatic β cells that progresses to dysglycemia and symptomatic hyperglycemia. Current biomarkers to track this evolution are limited, with development of islet autoantibodies marking the onset of autoimmunity and metabolic tests used to detect dysglycemia. Therefore, additional biomarkers are needed to better track disease initiation and progression. Multiple clinical studies have used proteomics to identify biomarker candidates. However, most of the studies were limited to the initial candidate identification, which needs to be further validated and have assays developed for clinical use. Here we curate these studies to help prioritize biomarker candidates for validation studies and to obtain a broader view of processes regulated during disease development. Methods This systematic review was registered with Open Science Framework (DOI 10.17605/OSF.IO/N8TSA). Using PRISMA guidelines, we conducted a systematic search of proteomics studies of T1D in the PubMed to identify putative protein biomarkers of the disease. Studies that performed mass spectrometry-based untargeted/targeted proteomic analysis of human serum/plasma of control, pre-seroconversion, post-seroconversion, and/or T1D-diagnosed subjects were included. For unbiased screening, 3 reviewers screened all the articles independently using the pre-determined criteria. Results A total of 13 studies met our inclusion criteria, resulting in the identification of 251 unique proteins, with 27 (11%) being identified across 3 or more studies. The circulating protein biomarkers were found to be enriched in complement, lipid metabolism, and immune response pathways, all of which are found to be dysregulated in different phases of T1D development. We found a subset of 3 proteins (C3, KNG1 & CFAH), 6 proteins (C3, C4A, APOA4, C4B, A2AP & BTD) and 7 proteins (C3, CLUS, APOA4, C6, A2AP, C1R & CFAI) have consistent regulation between multiple studies in samples from individuals at pre-seroconversion, post-seroconversion and post-diagnosis compared to controls, respectively, making them strong candidates for clinical assay development. Conclusions Biomarkers analyzed in this systematic review highlight alterations in specific biological processes in T1D, including complement, lipid metabolism, and immune response pathways, and may have potential for further use in the clinic as prognostic or diagnostic assays.
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15
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Woo JG, Melchior JT, Swertfeger DK, Remaley AT, Sise EA, Sosseh F, Welge JA, Prentice AM, Davidson WS, Moore SE, Woollett LA. Lipoprotein subfraction patterns throughout gestation in The Gambia: changes in subfraction composition and their relationships with infant birth weights. Lipids Health Dis 2023; 22:19. [PMID: 36737730 PMCID: PMC9896684 DOI: 10.1186/s12944-023-01776-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 01/16/2023] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Lipoprotein subfraction concentrations have been shown to change as gestation progresses in resource-rich settings. The objective of the current study was to evaluate the impact of pregnancy on different-sized lipoprotein particle concentrations and compositions in a resource-poor setting. METHOD Samples were collected from pregnant women in rural Gambia at enrollment (8-20 weeks), 20 weeks, and 30 weeks of gestation. Concentrations of different-sized high-density, low-density, and triglyceride-rich lipoprotein particles (HDL, LDL, and TRL, respectively) were measured by nuclear magnetic resonance in 126 pooled plasma samples from a subset of women. HDL was isolated and the HDL proteome evaluated using mass spectroscopy. Subfraction concentrations from women in The Gambia were also compared to concentrations in women in the U.S. in mid gestation. RESULTS Total lipoprotein particles and all-sized TRL, LDL, and HDL particle concentrations increased during gestation, with the exception of medium-sized LDL and HDL particles which decreased. Subfraction concentrations were not associated with infant birth weights, though relationships were found between some lipoprotein subfraction concentrations in women with normal versus low birth weight infants (< 2500 kg). HDL's proteome also changed during gestation, showing enrichment in proteins associated with metal ion binding, hemostasis, lipid metabolism, protease inhibitors, proteolysis, and complement activation. Compared to women in the U.S., Gambian women had lower large- and small-sized LDL and HDL concentrations, but similar medium-sized LDL and HDL concentrations. CONCLUSIONS Most lipoprotein subfraction concentrations increase throughout pregnancy in Gambian women and are lower in Gambian vs U.S. women, the exception being medium-sized LDL and HDL particle concentrations which decrease during gestation and are similar in both cohorts of women. The proteomes of HDL also change in ways to support gestation. These changes warrant further study to determine how a lack of change or different changes could impact negative pregnancy outcomes.
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Affiliation(s)
- Jessica G Woo
- Departments of Pediatrics and Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - John T Melchior
- Department of Pathology and Laboratory Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Biological Sciences Division, Pacific Northwest National Laboratory, WA, Richland, USA
| | - Debi K Swertfeger
- Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Alan T Remaley
- Lipoprotein Metabolism Section, Cardio-Pulmonary Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ebrima A Sise
- MRC Unit The Gambia, London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | - Fatou Sosseh
- MRC Unit The Gambia, London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | - Jeffrey A Welge
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Andrew M Prentice
- MRC Unit The Gambia, London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | - W Sean Davidson
- Department of Pathology and Laboratory Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Sophie E Moore
- MRC Unit The Gambia, London School of Hygiene and Tropical Medicine, Banjul, The Gambia
- Department of Women and Children's Health, King's College London, London, UK
| | - Laura A Woollett
- Department of Pathology and Laboratory Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
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16
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Nogueira VC, de Oliveira VDN, Guedes MIF, Smith BJ, da C Freire JE, Gonçalves NGG, de O M Moreira AC, de A Moreira R. UPLC-HDMS E to discover serum biomarkers in adults with type 1 diabetes. Int J Biol Macromol 2022; 221:1161-1170. [PMID: 36115450 DOI: 10.1016/j.ijbiomac.2022.09.085] [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: 06/25/2022] [Revised: 09/08/2022] [Accepted: 09/09/2022] [Indexed: 11/05/2022]
Abstract
Type 1 diabetes (T1D) is a complex disease with metabolic and functional changes that can alter an individual's proteome. An LC-MS/MS analytical method, in an HDMSE system, was used to identify differentially expressed proteins in the high abundance protein-depleted serum of T1D patients and healthy controls. Samples were processed in Progenesis QI for Proteomics software. A functional enrichment of the proteins was performed with Gene Ontology and ToppGene, and the interactions were visualized by STRING 11.5. As a result, 139 proteins were identified, 14 of which were downregulated in the serum of patients with T1D compared to controls. Most of the differentially expressed proteins were shown to be involved with the immune system, inflammation, and growth hormone stimulus response, and were associated with the progression of T1D. Differential protein expression data showed for the first-time changes in CPN2 expression levels in the serum of patients with T1D. Our findings indicate that these proteins are targets of interest for future investigations and for validation of protein biomarkers in T1D.
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Affiliation(s)
- Valeria C Nogueira
- Department of Education, Federal Institute of Ceará (IFCE), Ubajara, Ceará, Brazil.
| | - Valzimeire do N de Oliveira
- Laboratory of Biotechnology and Molecular Biology, State University of Ceará (UECE), Fortaleza, Ceara, Brazil
| | - Maria I F Guedes
- Laboratory of Biotechnology and Molecular Biology, State University of Ceará (UECE), Fortaleza, Ceara, Brazil
| | - Bradley J Smith
- Laboratory of Neuroproteomics, Institute of Biology, Department of Biochemistry and Tissue Biology, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil
| | - José E da C Freire
- Department of Clinical Medicine, Federal University of Ceará (UFC), Fortaleza, Ceará, Brazil
| | | | - Ana C de O M Moreira
- Experimental Biology Center, University of Fortaleza (UNIFOR), Fortaleza, Ceará, Brazil
| | - Renato de A Moreira
- Experimental Biology Center, University of Fortaleza (UNIFOR), Fortaleza, Ceará, Brazil
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17
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Cheema AK, Li Y, Moulton J, Girgis M, Wise SY, Carpenter A, Fatanmi OO, Singh VK. Identification of novel biomarkers for acute radiation injury using multi-omics approach and nonhuman primate model. Int J Radiat Oncol Biol Phys 2022; 114:310-320. [PMID: 35675853 DOI: 10.1016/j.ijrobp.2022.05.046] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 05/02/2022] [Accepted: 05/28/2022] [Indexed: 11/27/2022]
Abstract
PURPOSE The availability of validated biomarkers to assess radiation exposure and to assist in developing medical countermeasures remains an unmet need. METHODS AND MATERIALS We used a cobalt-60 gamma-irradiated nonhuman primate (NHP) model to delineate a multi-omics-based serum probability index of radiation exposure. Both male and female NHPs were irradiated with different doses ranging from 6.0 to 8.5 Gy, with 0.5 Gy increments between doses. We leveraged high-resolution mass spectrometry for analysis of metabolites, lipids, and proteins at 1, 2, and 6 days post-irradiation in NHP serum. RESULTS A logistic regression model was implemented to develop a 4-analyte panel to stratify irradiated NHPs from unirradiated with high accuracy that was agnostic for all doses of gamma-rays tested in the study, up to six days after exposure. This panel was comprised of Serpin Family A9, acetylcarnitine, PC (16:0/22:6), and suberylglycine, which showed 2 - 4-fold elevation in serum abundance upon irradiation in NHPs and can potentially be translated as a molecular diagnostic for human use following larger validation studies. CONCLUSIONS Taken together, this study, for the first time, demonstrates the utility of a combinatorial molecular characterization approach using an NHP model for developing minimally invasive assays from small volumes of blood that can be effectively used for radiation exposure assessments.
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Affiliation(s)
- Amrita K Cheema
- Department of Oncology, Lombardi Comprehensive Cancer Center, Department of Biochemistry; Molecular and Cellular Biology, Georgetown University Medical Center, Washington, DC, USA.
| | - Yaoxiang Li
- Department of Oncology, Lombardi Comprehensive Cancer Center, Department of Biochemistry
| | - Joanna Moulton
- Department of Oncology, Lombardi Comprehensive Cancer Center, Department of Biochemistry
| | - Michael Girgis
- Department of Oncology, Lombardi Comprehensive Cancer Center, Department of Biochemistry
| | - Stephen Y Wise
- Division of Radioprotectants, Department of Pharmacology and Molecular Therapeutics, F. Edward Hébert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA; Armed Forces Radiobiology Research Institute, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Alana Carpenter
- Division of Radioprotectants, Department of Pharmacology and Molecular Therapeutics, F. Edward Hébert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA; Armed Forces Radiobiology Research Institute, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Oluseyi O Fatanmi
- Division of Radioprotectants, Department of Pharmacology and Molecular Therapeutics, F. Edward Hébert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA; Armed Forces Radiobiology Research Institute, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Vijay K Singh
- Division of Radioprotectants, Department of Pharmacology and Molecular Therapeutics, F. Edward Hébert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA; Armed Forces Radiobiology Research Institute, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
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18
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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.
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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
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19
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Davidson WS, Shah AS, Sexmith H, Gordon SM. The HDL Proteome Watch: Compilation of studies leads to new insights on HDL function. Biochim Biophys Acta Mol Cell Biol Lipids 2022; 1867:159072. [PMID: 34800735 PMCID: PMC8715479 DOI: 10.1016/j.bbalip.2021.159072] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 09/30/2021] [Accepted: 11/01/2021] [Indexed: 01/01/2023]
Abstract
PURPOSE OF REVIEW High density lipoproteins (HDL) are a heterogeneous family of particles that contain distinct complements of proteins that define their function. Thus, it is important to accurately and sensitively identify proteins associated with HDL. Here we highlight the HDL Proteome Watch Database which tracks proteomics studies from different laboratories across the world. RECENT FINDINGS In 45 published reports, almost 1000 individual proteins have been detected in preparations of HDL. Of these, 251 have been identified in at least three different laboratories. The known functions of these consensus HDL proteins go well beyond traditionally recognized roles in lipid transport with many proteins pointing to HDL functions in innate immunity, inflammation, cell adhesion, hemostasis and protease regulation, and even vitamin and metal binding. SUMMARY The HDL proteome derived across multiple studies using various methodologies provides confidence in protein identifications that can offer interesting new insights into HDL function. We also point out significant issues that will require additional study going forward.
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Affiliation(s)
- W Sean Davidson
- Department of Pathology and Laboratory Medicine, University of Cincinnati, Cincinnati, OH 45237, United States of America.
| | - Amy S Shah
- Department of Pediatrics, Division of Endocrinology, Cincinnati Children's Hospital Medical Center and the University of Cincinnati, Cincinnati, OH 45229, United States of America.
| | - Hannah Sexmith
- Department of Pediatrics, Division of Endocrinology, Cincinnati Children's Hospital Medical Center and the University of Cincinnati, Cincinnati, OH 45229, United States of America.
| | - Scott M Gordon
- Saha Cardiovascular Research Center and Department of Physiology, University of Kentucky College of Medicine, Lexington, KY 40536, United States of America.
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20
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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.
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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
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21
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Finamore F, Nieddu G, Rocchiccioli S, Spirito R, Guarino A, Formato M, Lepedda AJ. Apolipoprotein Signature of HDL and LDL from Atherosclerotic Patients in Relation with Carotid Plaque Typology: A Preliminary Report. Biomedicines 2021; 9:biomedicines9091156. [PMID: 34572342 PMCID: PMC8465382 DOI: 10.3390/biomedicines9091156] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 08/30/2021] [Accepted: 08/31/2021] [Indexed: 12/14/2022] Open
Abstract
In the past years, it has become increasingly clear that the protein cargo of the different lipoprotein classes is largely responsible for carrying out their various functions, also in relation to pathological conditions, including atherosclerosis. Accordingly, detailed information about their apolipoprotein composition and structure may contribute to the revelation of their role in atherogenesis and the understanding of the mechanisms that lead to atherosclerotic degeneration and toward vulnerable plaque formation. With this aim, shotgun proteomics was applied to identify the apolipoprotein signatures of both high-density and low-density lipoproteins (HDL and LDL) plasma fractions purified from healthy volunteers and atherosclerotic patients with different plaque typologies who underwent carotid endarterectomy. By this approach, two proteins with potential implications in inflammatory, immune, and hemostatic pathways, namely, integrin beta-2 (P05107) and secretoglobin family 3A member 2 (Q96PL1), have been confirmed to belong to the HDL proteome. Similarly, the list of LDL-associated proteins has been enriched with 21 proteins involved in complement and coagulation cascades and the acute-phase response, which potentially double the protein species of LDL cargo. Moreover, differential expression analysis has shown protein signatures specific for patients with “hard” or “soft” plaques.
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Affiliation(s)
- Francesco Finamore
- Institute of Clinical Physiology, National Research Council, via Giuseppe Moruzzi 1, 56124 Pisa, Italy; (F.F.); (S.R.)
| | - Gabriele Nieddu
- Department of Biomedical Sciences, University of Sassari, Viale San Pietro 43, 07100 Sassari, Italy; (G.N.); (M.F.)
| | - Silvia Rocchiccioli
- Institute of Clinical Physiology, National Research Council, via Giuseppe Moruzzi 1, 56124 Pisa, Italy; (F.F.); (S.R.)
| | - Rita Spirito
- Centro Cardiologico Monzino, IRCCS, via Parea 4, 20138 Milano, Italy; (R.S.); (A.G.)
| | - Anna Guarino
- Centro Cardiologico Monzino, IRCCS, via Parea 4, 20138 Milano, Italy; (R.S.); (A.G.)
| | - Marilena Formato
- Department of Biomedical Sciences, University of Sassari, Viale San Pietro 43, 07100 Sassari, Italy; (G.N.); (M.F.)
| | - Antonio Junior Lepedda
- Department of Biomedical Sciences, University of Sassari, Viale San Pietro 43, 07100 Sassari, Italy; (G.N.); (M.F.)
- Correspondence:
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22
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El-Ghazali A, Deodhar S, Saldanha S, Smyth B, Izbrand M, Gangwar A, Pahlavani M, Rohatgi A. Molecular Patterns of Extreme and Persistent Cholesterol Efflux Capacity. Arterioscler Thromb Vasc Biol 2021; 41:2588-2597. [PMID: 34433296 DOI: 10.1161/atvbaha.120.315648] [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: 11/16/2022]
Abstract
Objective: Cholesterol efflux capacity (CEC), the ability of extracellular acceptors to pick-up cholesterol from macrophages, is a clinically relevant cardiovascular biomarker. CEC is inversely associated with incident atherosclerotic cardiovascular disease events. However, CEC is only modestly associated with HDL-C (high-density lipoprotein cholesterol) levels, which may explain the failure of HDL-C raising therapies to improve atherosclerotic cardiovascular disease outcomes. Determinants of variation in CEC are not well understood. Thus, we sought to establish whether extreme high and low CEC is a robust persistent phenotype and to characterize associations with cholesterol, protein, and phospholipids across the particle size distribution.
Approach and Results: CEC was previously measured in 2924 participants enrolled in the Dallas Heart Study, a multi-ethnic population-based study from 2000 to 2002. We prospectively recruited those who were below the 10th and above 90th percentile of CEC. Our study revealed that extreme low and high CEC are persistent, robust phenotypes after 15 years of follow-up. Using size exclusion chromatography, CEC to fractionated plasma depleted of apolipoprotein B (fraction-specific CEC) demonstrated significant differences in CEC patterns between persistent high and low efflux groups. Fraction-specific CEC was correlated with fraction-specific total phospholipid but not apolipoprotein A-I, cholesterol, or total protein. These correlations varied across the size distribution and differed among persistent high versus low efflux groups.
Conclusions: Extreme high and low CEC are persistent and robust phenotypes. CEC patterns in fractionated plasma reveal marked variation across the size distribution. Future studies are warranted to determine specific molecular species linked to CEC in a size-specific manner.
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Affiliation(s)
- Ayea El-Ghazali
- Department of Internal Medicine, Division of Cardiology. University of Texas Southwestern Medical Center, Dallas (A.E.-G., S.D., S.S., B.S., A.G., M.P., A.R.)
| | - Sneha Deodhar
- Department of Internal Medicine, Division of Cardiology. University of Texas Southwestern Medical Center, Dallas (A.E.-G., S.D., S.S., B.S., A.G., M.P., A.R.)
| | - Suzanne Saldanha
- Department of Internal Medicine, Division of Cardiology. University of Texas Southwestern Medical Center, Dallas (A.E.-G., S.D., S.S., B.S., A.G., M.P., A.R.)
| | - Brooke Smyth
- Department of Internal Medicine, Division of Cardiology. University of Texas Southwestern Medical Center, Dallas (A.E.-G., S.D., S.S., B.S., A.G., M.P., A.R.)
| | - Mark Izbrand
- Department of Pediatrics, Division of Infectious Disease, University of Colorado Anschutz Medical Campus, Aurora (M.I.)
| | - Anamika Gangwar
- Department of Internal Medicine, Division of Cardiology. University of Texas Southwestern Medical Center, Dallas (A.E.-G., S.D., S.S., B.S., A.G., M.P., A.R.)
| | - Mandana Pahlavani
- Department of Internal Medicine, Division of Cardiology. University of Texas Southwestern Medical Center, Dallas (A.E.-G., S.D., S.S., B.S., A.G., M.P., A.R.)
| | - Anand Rohatgi
- Department of Internal Medicine, Division of Cardiology. University of Texas Southwestern Medical Center, Dallas (A.E.-G., S.D., S.S., B.S., A.G., M.P., A.R.)
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23
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Pei CZ, Jin L, Baek KH. Pathogenetic analysis of polycystic ovary syndrome from the perspective of omics. Biomed Pharmacother 2021; 142:112031. [PMID: 34411918 DOI: 10.1016/j.biopha.2021.112031] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 08/04/2021] [Accepted: 08/07/2021] [Indexed: 12/17/2022] Open
Abstract
Polycystic ovary syndrome (PCOS) is the most common gynecological endocrine disease, involving multiple genes, multiple pathways, and complex hormone secretion processes. Hence, the pathogenesis of PCOS cannot be explained by a single factor. Omics analysis includes genomics, transcriptomics, and proteomics, which are fast and effective methods for studying the pathogenesis of diseases. PCOS is primarily characterized by androgen excess, and reproductive and metabolic dysfunctions. The application of omics analysis in the body fluids, blood, cells or tissues of women with PCOS offers the potential for unexpected molecular advantages in explaining new mechanisms of PCOS etiology and pathophysiology, and provides new perspectives for identifying potential biomarkers and developing new therapeutic targets. At present, several omics analyses have been applied to produce complex datasets. In this manuscript, the recent advances in omics research on PCOS are summarized, aiming at an important and parallel review of the newly published research.
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Affiliation(s)
- Chang-Zhu Pei
- Department of Biomedical Science, Cell and Gene Therapy Research Institute, CHA University, Bundang CHA Hospital, Gyeonggi-Do 13488, Republic of Korea
| | - Lan Jin
- Department of Clinical Laboratory, Yanbian Maternity and Child Health Care Hospital, Jilin Provincial Yanji-Shi, 133000, China
| | - Kwang-Hyun Baek
- Department of Biomedical Science, Cell and Gene Therapy Research Institute, CHA University, Bundang CHA Hospital, Gyeonggi-Do 13488, Republic of Korea.
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24
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Noras K, Rusak E, Jarosz-Chobot P. The Problem of Abnormal Body Weight and Dyslipidemia as Risk Factors for Cardiovascular Diseases in Children and Adolescents with Type 1 Diabetes. J Diabetes Res 2021; 2021:5555149. [PMID: 34395631 PMCID: PMC8355997 DOI: 10.1155/2021/5555149] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Accepted: 07/13/2021] [Indexed: 11/28/2022] Open
Abstract
Diabetes is a disease that affects many people around the world. Its complications are the cause of cardiovascular diseases (CVD) and increased mortality. That is why the search for predictive biomarkers is so important. The aim of the study was to show the prevalence of the problem and risk factors in children and adolescents with type 1 diabetes. These patients are often overweight and obese, and the percentage of lipid disorders is particularly high. The discussed markers of CVD risk in type 1 diabetes include apolipoproteins (apo-B and apo-C3), modified forms of LDL, and the role of high-density lipoprotein (HDL). Recently, a new look at the vasoprotective effect of HDL has appeared, which due to its dysfunctional form in type 1 diabetes may not protect against cardiovascular risk. The HDL proteome in type 1 diabetes has an altered protein composition compared to the healthy population. Another direction of research is determining the importance of trace elements (mainly Mg) in the development of diabetes complications.
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Affiliation(s)
- Katarzyna Noras
- Department of Children's Diabetology, Upper Silesian Child Health Centre, Katowice, Poland
| | - Ewa Rusak
- Department of Children's Diabetology, Medical University of Silesia, Katowice, Poland
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25
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Osuna-Prieto FJ, Martinez-Tellez B, Ortiz-Alvarez L, Di X, Jurado-Fasoli L, Xu H, Ceperuelo-Mallafré V, Núñez-Roa C, Kohler I, Segura-Carretero A, García-Lario JV, Gil A, Aguilera CM, Llamas-Elvira JM, Rensen PCN, Vendrell J, Ruiz JR, Fernández-Veledo S. Elevated plasma succinate levels are linked to higher cardiovascular disease risk factors in young adults. Cardiovasc Diabetol 2021; 20:151. [PMID: 34315463 PMCID: PMC8314524 DOI: 10.1186/s12933-021-01333-3] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Accepted: 06/30/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Succinate is produced by both host and microbiota, with a key role in the interplay of immunity and metabolism and an emerging role as a biomarker for inflammatory and metabolic disorders in middle-aged adults. The relationship between plasma succinate levels and cardiovascular disease (CVD) risk in young adults is unknown. METHODS Cross-sectional study in 100 (65% women) individuals aged 18-25 years from the ACTIvating Brown Adipose Tissue through Exercise (ACTIBATE) study cohort. CVD risk factors, body composition, dietary intake, basal metabolic rate, and cardiorespiratory fitness were assessed by routine methods. Plasma succinate was measured with an enzyme-based assay. Brown adipose tissue (BAT) was evaluated by positron emission tomography, and circulating oxylipins were assessed by targeted metabolomics. Fecal microbiota composition was analyzed in a sub-sample. RESULTS Individuals with higher succinate levels had higher levels of visceral adipose tissue (VAT) mass (+ 42.5%), triglycerides (+ 63.9%), C-reactive protein (+ 124.2%), diastolic blood pressure (+ 5.5%), and pro-inflammatory omega-6 oxylipins than individuals with lower succinate levels. Succinate levels were also higher in metabolically unhealthy individuals than in healthy overweight/obese peers. Succinate levels were not associated with BAT volume or activity or with fecal microbiota composition and diversity. CONCLUSIONS Plasma succinate levels are linked to a specific pro-inflammatory omega-6 signature pattern and higher VAT levels, and seem to reflect the cardiovascular status of young adults.
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Affiliation(s)
- Francisco J Osuna-Prieto
- PROFITH (PROmoting FITness and Health Through Physical Activity) Research Group, Department of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, Granada, Spain
- Department of Analytical Chemistry, University of Granada, Granada, Spain
- Research and Development of Functional Food Center (CIDAF), Granada, Spain
| | - Borja Martinez-Tellez
- PROFITH (PROmoting FITness and Health Through Physical Activity) Research Group, Department of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, Granada, Spain
- Division of Endocrinology and Einthoven Laboratory for Experimental Vascular Medicine, Department of Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Lourdes Ortiz-Alvarez
- PROFITH (PROmoting FITness and Health Through Physical Activity) Research Group, Department of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, Granada, Spain
- Department of Biochemistry and Molecular Biology II, "José Mataix Verdú" Institute of Nutrition and Food Technology (INYTA), Biomedical Research Center (CIBM), University of Granada, Granada, Spain
| | - Xinyu Di
- Division of Systems Biomedicine and Pharmacology, Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands
| | - Lucas Jurado-Fasoli
- PROFITH (PROmoting FITness and Health Through Physical Activity) Research Group, Department of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, Granada, Spain
| | - Huiwen Xu
- PROFITH (PROmoting FITness and Health Through Physical Activity) Research Group, Department of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, Granada, Spain
- Department of Biochemistry and Molecular Biology II, "José Mataix Verdú" Institute of Nutrition and Food Technology (INYTA), Biomedical Research Center (CIBM), University of Granada, Granada, Spain
| | - Victoria Ceperuelo-Mallafré
- Department of Endocrinology and Nutrition and Research Unit, University Hospital of Tarragona Joan XXIII-Institut d ́Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM)-Instituto de Salud Carlos III, Madrid, Spain
- Rovira i Virgili University, Tarragona, Spain
| | - Catalina Núñez-Roa
- Department of Endocrinology and Nutrition and Research Unit, University Hospital of Tarragona Joan XXIII-Institut d ́Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM)-Instituto de Salud Carlos III, Madrid, Spain
| | - Isabelle Kohler
- Division of BioAnalytical Chemistry, Vrije Universiteit Amsterdam, Amsterdam Institute of Molecular and Life Sciences (AIMMS), Amsterdam, The Netherlands
- Center for Analytical Sciences Amsterdam, Amsterdam, The Netherlands
| | - Antonio Segura-Carretero
- Department of Analytical Chemistry, University of Granada, Granada, Spain
- Research and Development of Functional Food Center (CIDAF), Granada, Spain
| | | | - Angel Gil
- Department of Biochemistry and Molecular Biology II, "José Mataix Verdú" Institute of Nutrition and Food Technology (INYTA), Biomedical Research Center (CIBM), University of Granada, Granada, Spain
- Biohealth Research Institute in Granada (Ibs, GRANADA), Granada, Spain
- CIBER Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Madrid, Spain
| | - Concepción M Aguilera
- Department of Biochemistry and Molecular Biology II, "José Mataix Verdú" Institute of Nutrition and Food Technology (INYTA), Biomedical Research Center (CIBM), University of Granada, Granada, Spain
- Biohealth Research Institute in Granada (Ibs, GRANADA), Granada, Spain
- CIBER Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Madrid, Spain
| | - Jose M Llamas-Elvira
- Nuclear Medicine Service, Virgen de las Nieves University Hospital, Biohealth Research Institute in Granada (Ibs. GRANADA), Granada, Spain
| | - Patrick C N Rensen
- Division of Endocrinology and Einthoven Laboratory for Experimental Vascular Medicine, Department of Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Joan Vendrell
- Department of Endocrinology and Nutrition and Research Unit, University Hospital of Tarragona Joan XXIII-Institut d ́Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM)-Instituto de Salud Carlos III, Madrid, Spain
- Rovira i Virgili University, Tarragona, Spain
| | - Jonatan R Ruiz
- PROFITH (PROmoting FITness and Health Through Physical Activity) Research Group, Department of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, Granada, Spain.
| | - Sonia Fernández-Veledo
- Department of Endocrinology and Nutrition and Research Unit, University Hospital of Tarragona Joan XXIII-Institut d ́Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain.
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM)-Instituto de Salud Carlos III, Madrid, Spain.
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Ronsein GE, Vaisar T, Davidson WS, Bornfeldt KE, Probstfield JL, O'Brien KD, Zhao XQ, Heinecke JW. Niacin Increases Atherogenic Proteins in High-Density Lipoprotein of Statin-Treated Subjects. Arterioscler Thromb Vasc Biol 2021; 41:2330-2341. [PMID: 34134520 DOI: 10.1161/atvbaha.121.316278] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
[Figure: see text].
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Affiliation(s)
| | - Tomas Vaisar
- Department of Medicine, University of Washington, Seattle (T.V., K.E.B., J.L.P., K.D.O., X.-Q.Z., J.W.H.)
| | - W Sean Davidson
- Department of Pathology and Laboratory Medicine, University of Cincinnati, OH (W.S.D.)
| | - Karin E Bornfeldt
- Department of Medicine, University of Washington, Seattle (T.V., K.E.B., J.L.P., K.D.O., X.-Q.Z., J.W.H.)
| | - Jeffrey L Probstfield
- Department of Medicine, University of Washington, Seattle (T.V., K.E.B., J.L.P., K.D.O., X.-Q.Z., J.W.H.)
| | - Kevin D O'Brien
- Department of Medicine, University of Washington, Seattle (T.V., K.E.B., J.L.P., K.D.O., X.-Q.Z., J.W.H.)
| | - Xue-Qiao Zhao
- Department of Medicine, University of Washington, Seattle (T.V., K.E.B., J.L.P., K.D.O., X.-Q.Z., J.W.H.)
| | - Jay W Heinecke
- Department of Medicine, University of Washington, Seattle (T.V., K.E.B., J.L.P., K.D.O., X.-Q.Z., J.W.H.)
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27
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Gourgari E, Nadeau KJ, Pyle L, Playford MP, Ma J, Mehta NN, Remaley AT, Gordon SM. Effect of metformin on the high-density lipoprotein proteome in youth with type 1 diabetes. ENDOCRINOLOGY DIABETES & METABOLISM 2021; 4:e00261. [PMID: 34277985 PMCID: PMC8279605 DOI: 10.1002/edm2.261] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Revised: 04/21/2021] [Accepted: 04/23/2021] [Indexed: 12/18/2022]
Abstract
Background Youth with type 1 diabetes (T1D) have normal or elevated High‐Density Lipoprotein Cholesterol (HDL‐C), however, the function of HDL, partly mediated by the HDL proteome, may be impaired. Metformin can be used as an adjunct therapy in youth with T1D, but its effects on the HDL proteome are unknown. Objective To determine the effect of metformin on the HDL proteome. Subjects Youth (12–20 years old) with T1D who had a BMI > 90th percentile, HbA1c > 8.0% and Tanner stage 5. Methods Double‐blinded, placebo‐controlled randomized sub‐study. We examined the effects of metformin (n = 25) or placebo (n = 10) after 6 months on HDL proteome. Changes in HDL proteins were measured by data‐independent acquisition (DIA) mass spectrometry and compared between treatment groups. As a secondary outcome, associations between proteins of interest and the most studied function of HDL, the cholesterol efflux capacity (CEC), was examined. Results The relative abundance of 84 HDL‐associated proteins were measured. Two proteins were significantly affected by metformin treatment, peptidoglycan recognition protein 2 (PGRP2; +23.4%, p = .0058) and alpha‐2‐macroglobulin (A2MG; +29.8%, p = .049). Metformin did not significantly affect CEC. Changes in affected HDL proteins did not correlate with CEC. Conclusions Despite having little effect on HDL‐C, metformin increased PGRP2 and A2MG protein on HDL in youth with T1D, but had no significant effect on CEC. Further studies are needed to understand the impact of PGRP2 and A2MG on other HDL functions.
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Affiliation(s)
- Evgenia Gourgari
- Division of Pediatric Endocrinology Department of Pediatrics Georgetown University Washington DC USA
| | - Kristen J Nadeau
- Division of Pediatric Endocrinology Department of Pediatrics University of Colorado Anschutz Medical Campus Aurora CO USA
| | - Laura Pyle
- Division of Pediatric Endocrinology Department of Pediatrics University of Colorado Anschutz Medical Campus Aurora CO USA.,Department of Biostatistics and Informatics Colorado School of Public Health Aurora CO USA
| | - Martin P Playford
- Section of Inflammation and Cardiometabolic Diseases National Heart, Lung, and Blood Institute National Institutes of Health Bethesda MD USA
| | - Junfeng Ma
- Proteomics and Metabolomics Shared Resource Georgetown University Medical Center Washington DC USA
| | - Nehal N Mehta
- Section of Inflammation and Cardiometabolic Diseases National Heart, Lung, and Blood Institute National Institutes of Health Bethesda MD USA
| | - Alan T Remaley
- Lipoprotein Metabolism Section National Heart, Lung and Blood Institute National Institutes of Health Bethesda MD USA
| | - Scott M Gordon
- Saha Cardiovascular Research Center University of Kentucky Lexington KY USA.,Department of Physiology University of Kentucky Lexington KY USA
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28
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Cochran BJ, Ong KL, Manandhar B, Rye KA. High Density Lipoproteins and Diabetes. Cells 2021; 10:cells10040850. [PMID: 33918571 PMCID: PMC8069617 DOI: 10.3390/cells10040850] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Revised: 04/01/2021] [Accepted: 04/01/2021] [Indexed: 12/11/2022] Open
Abstract
Epidemiological studies have established that a high plasma high density lipoprotein cholesterol (HDL-C) level is associated with reduced cardiovascular risk. However, recent randomised clinical trials of interventions that increase HDL-C levels have failed to establish a causal basis for this relationship. This has led to a shift in HDL research efforts towards developing strategies that improve the cardioprotective functions of HDLs, rather than simply increasing HDL-C levels. These efforts are also leading to the discovery of novel HDL functions that are unrelated to cardiovascular disease. One of the most recently identified functions of HDLs is their potent antidiabetic properties. The antidiabetic functions of HDLs, and recent key advances in this area are the subject of this review. Given that all forms of diabetes are increasing at an alarming rate globally, there is a clear unmet need to identify and develop new approaches that will complement existing therapies and reduce disease progression as well as reverse established disease. Exploration of a potential role for HDLs and their constituent lipids and apolipoproteins in this area is clearly warranted. This review highlights focus areas that have yet to be investigated and potential strategies for exploiting the antidiabetic functions of HDLs.
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Affiliation(s)
| | | | | | - Kerry-Anne Rye
- Correspondence: ; Tel.: +61-2-9385-1219; Fax: +61-2-9385-1389
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29
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Wu N, Bredin SSD, Jamnik VK, Koehle MS, Guan Y, Shellington EM, Li Y, Li J, Warburton DER. Association between physical activity level and cardiovascular risk factors in adolescents living with type 1 diabetes mellitus: a cross-sectional study. Cardiovasc Diabetol 2021; 20:62. [PMID: 33712025 PMCID: PMC7955612 DOI: 10.1186/s12933-021-01255-0] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Accepted: 03/01/2021] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Type 1 diabetes mellitus (T1DM) is associated with an increased risk for cardiovascular disease (CVD) related morbidity and premature mortality. Regular physical activity plays an important role in the primary and secondary prevention of CVD, improving overall health and wellbeing. Previous observational studies have examined the associations between self-reported physical activity and CVD risk factors in largely adult Caucasian populations. However, limited work has evaluated the relationship between objectively measured physical activity and CVD risk factors in other ethnicities, particularly Chinese youth living with T1DM. METHODS This cross-sectional study assessed CVD risk factors, physical activity, and aerobic fitness (and their associations) in Chinese youth living with T1DM (n = 48) and peers (n = 19) without T1DM. Primary outcomes included blood pressure, lipid profiles, and physical activity (accelerometry). Statistical differences between groups were determined with chi-square, independent-samples t-tests, or analysis of covariance. The associations between aerobic fitness, daily physical activity variables, and CVD risk factors were assessed with univariate and multivariate linear regression analyses. RESULTS Results were summarized using means and standard deviation (SD) for normally distributed variables and medians and 25-75th quartile for non-normally distributed variables. In comparison to peers without diabetes, youth living with T1DM showed higher levels of total cholesterol (3.14 ± 0.67 vs. 4.03 ± 0.81 mmol·L-1, p = 0.001), low-density lipoprotein cholesterol (1.74 ± 0.38 vs. 2.31 ± 0.72 mmol·L-1, p = 0.005), and triglycerides (0.60 ± 0.40 vs. 0.89 ± 0.31 mmol·L-1 p = 0.012), and lower maximal oxygen power (44.43 ± 8.29 vs. 35.48 ± 8.72 mL·kg-1·min-1, p = 0.003), total physical activity counts (451.01 ± 133.52 vs. 346.87 ± 101.97 counts·min-1, p = 0.004), metabolic equivalents (METs) (2.41 ± 0.60 vs. 2.09 ± 0.41 METs, p = 0.033), moderate-to-vigorous intensity physical activity [MVPA: 89.57 (61.00-124.14) vs (53.19 (35.68-63.16) min, p = 0.001], and the percentage of time spent in MVPA [11.91 (7.74-16.22) vs 8.56 (6.18-10.12) %, p = 0.038]. The level of high-density lipoprotein cholesterol was positively associated with METs (β = 0.29, p = 0.030, model R2 = 0.168), and the level of triglycerides was negatively associated with physical activity counts (β = - 0.001, p = 0.018, model R2 = 0.205) and METs (β = - 0.359, p = 0.015, model R2 = 0.208), and positively associated with time spent in sedentary behaviour (β = 0.002, p = 0.041, model R2 = 0.156) in persons living with T1DM. CONCLUSIONS Chinese youth with T1DM, despite their young age and short duration of diabetes, present early signs of CVD risk, as well as low physical activity levels and cardiorespiratory fitness compared to apparently healthy peers without diabetes. Regular physical activity is associated with a beneficial cardiovascular profile in T1DM, including improvements in lipid profile. Thus, physical activity participation should be widely promoted in youth living with T1DM.
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Affiliation(s)
- Nana Wu
- Physical Activity Promotion and Chronic Disease Prevention Unit, The University of British Columbia, Vancouver, BC, Canada
| | - Shannon S D Bredin
- Physical Activity Promotion and Chronic Disease Prevention Unit, The University of British Columbia, Vancouver, BC, Canada
| | - Veronica K Jamnik
- School of Kinesiology and Health Science, York University, Toronto, ON, Canada
| | - Michael S Koehle
- School of Kinesiology, The University of British Columbia, Vancouver, BC, Canada
| | - Yanfei Guan
- Physical Activity Promotion and Chronic Disease Prevention Unit, The University of British Columbia, Vancouver, BC, Canada
| | - Erin M Shellington
- Physical Activity Promotion and Chronic Disease Prevention Unit, The University of British Columbia, Vancouver, BC, Canada
| | - Yongfeng Li
- College of Sports and Health, Shandong Sport University, Ji'nan, Shandong, China
| | - Jun Li
- School of Sport Social Science, Shandong Sport University, Ji'nan, Shandong, China
| | - Darren E R Warburton
- Physical Activity Promotion and Chronic Disease Prevention Unit, The University of British Columbia, Vancouver, BC, Canada.
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Moreira-Costa L, Barros AS, Lourenço AP, Leite-Moreira AF, Nogueira-Ferreira R, Thongboonkerd V, Vitorino R. Exosome-Derived Mediators as Potential Biomarkers for Cardiovascular Diseases: A Network Approach. Proteomes 2021; 9:proteomes9010008. [PMID: 33535467 PMCID: PMC7930981 DOI: 10.3390/proteomes9010008] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 01/26/2021] [Accepted: 01/28/2021] [Indexed: 02/07/2023] Open
Abstract
Cardiovascular diseases (CVDs) are widely recognized as the leading cause of mortality worldwide. Despite the advances in clinical management over the past decades, the underlying pathological mechanisms remain largely unknown. Exosomes have drawn the attention of researchers for their relevance in intercellular communication under both physiological and pathological conditions. These vesicles are suggested as complementary prospective biomarkers of CVDs; however, the role of exosomes in CVDs is still not fully elucidated. Here, we performed a literature search on exosomal biogenesis, characteristics, and functions, as well as the different available exosomal isolation techniques. Moreover, aiming to give new insights into the interaction between exosomes and CVDs, network analysis on the role of exosome-derived mediators in coronary artery disease (CAD) and heart failure (HF) was also performed to incorporate the different sources of information. The upregulated exosomal miRNAs miR-133a, miR-208a, miR-1, miR-499-5p, and miR-30a were described for the early diagnosis of acute myocardial infarction, while the exosome-derived miR-192, miR-194, miR-146a, and miR-92b-5p were considered as potential biomarkers for HF development. In CAD patients, upregulated exosomal proteins, including fibrinogen beta/gamma chain, inter-alpha-trypsin inhibitor heavy chain, and alpha-1 antichymotrypsin, were assessed as putative protein biomarkers. From downregulated proteins in CAD patients, albumin, clusterin, and vitamin D-binding protein were considered relevant to assess prognosis. The Vesiclepedia database included miR-133a of exosomal origin upregulated in patients with CAD and the exosomal miR-192, miR-194, and miR-146a upregulated in patients with HF. Additionally, Vesiclepedia included 5 upregulated and 13 downregulated exosomal proteins in patients in CAD. The non-included miRNAs and proteins have not yet been identified in exosomes and can be proposed for further research. This report highlights the need for further studies focusing on the identification and validation of miRNAs and proteins of exosomal origin as biomarkers of CAD and HF, which will enable, using exosomal biomarkers, the guiding of diagnosis/prognosis in CVDs.
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Affiliation(s)
- Liliana Moreira-Costa
- Department of Surgery and Physiology, Cardiovascular R&D Center, Faculty of Medicine of the University of Porto, Alameda Professor Hernâni Monteiro, 4200-319 Porto, Portugal; (A.S.B.); (A.P.L.); (A.F.L.-M.); (R.N.-F.)
- Correspondence: (L.M.-C.); (R.V.)
| | - António S. Barros
- Department of Surgery and Physiology, Cardiovascular R&D Center, Faculty of Medicine of the University of Porto, Alameda Professor Hernâni Monteiro, 4200-319 Porto, Portugal; (A.S.B.); (A.P.L.); (A.F.L.-M.); (R.N.-F.)
| | - André P. Lourenço
- Department of Surgery and Physiology, Cardiovascular R&D Center, Faculty of Medicine of the University of Porto, Alameda Professor Hernâni Monteiro, 4200-319 Porto, Portugal; (A.S.B.); (A.P.L.); (A.F.L.-M.); (R.N.-F.)
| | - Adelino F. Leite-Moreira
- Department of Surgery and Physiology, Cardiovascular R&D Center, Faculty of Medicine of the University of Porto, Alameda Professor Hernâni Monteiro, 4200-319 Porto, Portugal; (A.S.B.); (A.P.L.); (A.F.L.-M.); (R.N.-F.)
- Department of Cardiothoracic Surgery, Centro Hospitalar Universitário São João, Alameda Professor Hernâni Monteiro, 4200-319 Porto, Portugal
| | - Rita Nogueira-Ferreira
- Department of Surgery and Physiology, Cardiovascular R&D Center, Faculty of Medicine of the University of Porto, Alameda Professor Hernâni Monteiro, 4200-319 Porto, Portugal; (A.S.B.); (A.P.L.); (A.F.L.-M.); (R.N.-F.)
| | - Visith Thongboonkerd
- Medical Proteomics Unit, Office for Research and Development, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand;
| | - Rui Vitorino
- Department of Surgery and Physiology, Cardiovascular R&D Center, Faculty of Medicine of the University of Porto, Alameda Professor Hernâni Monteiro, 4200-319 Porto, Portugal; (A.S.B.); (A.P.L.); (A.F.L.-M.); (R.N.-F.)
- Department of Medical Sciences, Institute of Biomedicine (iBiMED), University of Aveiro, Campus Universitário de Santiago, Agra do Crasto, 3810-193 Aveiro, Portugal
- Correspondence: (L.M.-C.); (R.V.)
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Mencucci MV, Flores LE, Gagliardino JJ, Abba MC, Maiztegui B. Integrative transcriptomic analysis of pancreatic islets from patients with prediabetes/type 2 diabetes. Diabetes Metab Res Rev 2021; 37:e3359. [PMID: 32500584 DOI: 10.1002/dmrr.3359] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Revised: 05/21/2020] [Accepted: 05/25/2020] [Indexed: 12/20/2022]
Abstract
AIM To identify new transcriptomic alterations in pancreatic islets associated with metabolic dysfunctions in people with prediabetes (PD)/type 2 diabetes (T2D). MATERIALS AND METHODS We collected information from public data repositories T2D related microarray datasets from pancreatic islets. We identified Differential Expressed Genes (DEGs) in non-diabetic (ND) vs people with T2D in each study. To identify relevant DEGs in T2D, we selected those that varied consistently in the different studies for further meta-analysis and functional enrichment analysis. DEGs were also evaluated at the PD stage. RESULTS A total of seven microarray datasets were collected and analysed to find the DEGs in each study and meta-analysis was performed with 245 ND and 96 T2D cases. We identified 55 transcriptional alterations potentially associated with specific metabolic dysfunctions in T2D. Meta-analysis showed that 87% of transcripts identified as DEGs (48 out of 55) were confirmed as having statistically significant up- or down-modulation in T2D compared to ND. Notably, nine of these DEGs have not been previously reported as dysregulated in pancreatic islets from people with T2D. Consistently, the most significantly enriched pathways were related to the metabolism and/or development/maintenance of β-cells. Eighteen of the 48 selected DEGs (38%) showed an altered expression in islets from people with PD. CONCLUSIONS These results provide new evidence to interpret the pathogenesis of T2D and the transition from PD to T2D. Further studies are necessary to validate its potential use for the development/implementation of efficient new strategies for the prevention, diagnosis/prognosis and treatment of T2D.
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Affiliation(s)
- María V Mencucci
- CENEXA. Centro de Endocrinología Experimental y Aplicada (UNLP-CONICET-CEAS CICPBA), Facultad de Ciencias Médicas UNLP, La Plata, Argentina
| | - Luis E Flores
- CENEXA. Centro de Endocrinología Experimental y Aplicada (UNLP-CONICET-CEAS CICPBA), Facultad de Ciencias Médicas UNLP, La Plata, Argentina
| | - Juan J Gagliardino
- CENEXA. Centro de Endocrinología Experimental y Aplicada (UNLP-CONICET-CEAS CICPBA), Facultad de Ciencias Médicas UNLP, La Plata, Argentina
| | - Martín C Abba
- CINIBA. Centro de Investigaciones Inmunológicas Básicas y Aplicadas (UNLP-CICPBA), Facultad de Ciencias Médicas UNLP, La Plata, Argentina
| | - Bárbara Maiztegui
- CENEXA. Centro de Endocrinología Experimental y Aplicada (UNLP-CONICET-CEAS CICPBA), Facultad de Ciencias Médicas UNLP, La Plata, Argentina
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An Increased Plasma Level of ApoCIII-Rich Electronegative High-Density Lipoprotein May Contribute to Cognitive Impairment in Alzheimer's Disease. Biomedicines 2020; 8:biomedicines8120542. [PMID: 33256187 PMCID: PMC7761422 DOI: 10.3390/biomedicines8120542] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 11/24/2020] [Accepted: 11/24/2020] [Indexed: 02/02/2023] Open
Abstract
High-density lipoprotein (HDL) plays a vital role in lipid metabolism and anti-inflammatory activities; a dysfunctional HDL impairs cholesterol efflux pathways. To understand HDL's role in patients with Alzheimer's disease (AD), we analyzed the chemical properties and function. HDL from AD patients (AD-HDL) was separated into five subfractions, H1-H5, using fast-protein liquid chromatography equipped with an anion-exchange column. Subfraction H5, defined as the most electronegative HDL, was increased 5.5-fold in AD-HDL (23.48 ± 17.83%) in comparison with the control HDL (4.24 ± 3.22%). By liquid chromatography mass spectrometry (LC/MSE), AD-HDL showed that the level of apolipoprotein (apo)CIII was elevated but sphingosine-1-phosphate (S1P)-associated apoM and anti-oxidative paraoxonase 1 (PON1) were reduced. AD-HDL showed a lower cholesterol efflux capacity that was associated with the post-translational oxidation of apoAI. Exposure of murine macrophage cell line, RAW 264.7, to AD-HDL induced a vibrant expression of ganglioside GM1 in colocalization with apoCIII on lipid rafts alongside a concomitant increase of tumor necrosis factor-α (TNF-α) detectable in the cultured medium. In conclusion, AD-HDL had a higher proportion of H5, an apoCIII-rich electronegative HDL subfraction. The associated increase in pro-inflammatory (apoCIII, TNF-α) components might favor Amyloid β assembly and neural inflammation. A compromised cholesterol efflux capacity of AD-HDL may also contribute to cognitive impairment.
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Peterson SJ, Choudhary A, Kalsi AK, Zhao S, Alex R, Abraham NG. OX-HDL: A Starring Role in Cardiorenal Syndrome and the Effects of Heme Oxygenase-1 Intervention. Diagnostics (Basel) 2020; 10:E976. [PMID: 33233550 PMCID: PMC7699797 DOI: 10.3390/diagnostics10110976] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 11/17/2020] [Accepted: 11/19/2020] [Indexed: 12/14/2022] Open
Abstract
In this review, we will evaluate how high-density lipoprotein (HDL) and the reverse cholesterol transport (RCT) pathway are critical for proper cardiovascular-renal physiology. We will begin by reviewing the basic concepts of HDL cholesterol synthesis and pathway regulation, followed by cardiorenal syndrome (CRS) pathophysiology. After explaining how the HDL and RCT pathways become dysfunctional through oxidative processes, we will elaborate on the potential role of HDL dysfunction in CRS. We will then present findings on how HDL function and the inducible antioxidant gene heme oxygenase-1 (HO-1) are interconnected and how induction of HO-1 is protective against HDL dysfunction and important for the proper functioning of the cardiovascular-renal system. This will substantiate the proposal of HO-1 as a novel therapeutic target to prevent HDL dysfunction and, consequently, cardiovascular disease, renal dysfunction, and the onset of CRS.
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Affiliation(s)
- Stephen J. Peterson
- Department of Medicine, Weill Cornell Medicine, New York, NY 10065, USA;
- Department of Medicine, New York Presbyterian Brooklyn Methodist Hospital, Brooklyn, NY 11215, USA; (A.C.); (A.K.K.); (S.Z.)
| | - Abu Choudhary
- Department of Medicine, New York Presbyterian Brooklyn Methodist Hospital, Brooklyn, NY 11215, USA; (A.C.); (A.K.K.); (S.Z.)
| | - Amardeep K. Kalsi
- Department of Medicine, New York Presbyterian Brooklyn Methodist Hospital, Brooklyn, NY 11215, USA; (A.C.); (A.K.K.); (S.Z.)
| | - Shuyang Zhao
- Department of Medicine, New York Presbyterian Brooklyn Methodist Hospital, Brooklyn, NY 11215, USA; (A.C.); (A.K.K.); (S.Z.)
| | - Ragin Alex
- Department of Medicine, New York Medical College, Valhalla, NY 10595, USA;
| | - Nader G. Abraham
- Department of Medicine, New York Medical College, Valhalla, NY 10595, USA;
- Department of Pharmacology, New York Medical College, Valhalla, NY 10595, USA
- Department of Medicine, Joan C. Edwards School of Medicine, Marshall University, Huntington, WV 25701, USA
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Comparative proteomic analysis of serum from nonhuman primates administered BIO 300: a promising radiation countermeasure. Sci Rep 2020; 10:19343. [PMID: 33168863 PMCID: PMC7653926 DOI: 10.1038/s41598-020-76494-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Accepted: 10/28/2020] [Indexed: 11/12/2022] Open
Abstract
Hematopoietic acute radiation syndrome (H-ARS) and delayed effects of acute radiation exposure (DEARE) are detrimental health effects that occur after exposure to high doses of ionizing radiation. BIO 300, a synthetic genistein nanosuspension, was previously proven safe and effective against H-ARS when administered (via the oral (po) or intramuscular (im) route) prior to exposure to lethal doses of total-body radiation. In this study, we evaluated the proteomic changes in serum of nonhuman primates (NHP) after administering BIO 300 by different routes (po and im). We utilized nanoflow-ultra-performance liquid chromatography quadrupole time-of-flight mass spectrometry (NanoUPLC-MS/MS) methods for comprehensive global profiling and quantification of serum proteins. The results corroborate previous findings that suggest a very similar metabolic profile following both routes of drug administration. Furthermore, we observed minor alterations in protein levels, 2 hours after drug administration, which relates to the Cmax of BIO 300 for both routes of administration. Taken together, this assessment may provide an insight into the mechanism of radioprotection of BIO 300 and a reasonable illustration of the pharmacodynamics of this radiation countermeasure.
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35
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Amor AJ, Castelblanco E, Hernández M, Gimenez M, Granado-Casas M, Blanco J, Soldevila B, Esmatjes E, Conget I, Alonso N, Ortega E, Mauricio D. Advanced lipoprotein profile disturbances in type 1 diabetes mellitus: a focus on LDL particles. Cardiovasc Diabetol 2020; 19:126. [PMID: 32772924 PMCID: PMC7416413 DOI: 10.1186/s12933-020-01099-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2020] [Accepted: 07/25/2020] [Indexed: 12/12/2022] Open
Abstract
Background Lipoprotein disturbances have been associated with increased cardiovascular disease (CVD) risk in type 1 diabetes mellitus (T1DM). We assessed the advanced lipoprotein profile in T1DM individuals, and analysed differences with non-diabetic counterparts. Methods This cross-sectional study involved 508 adults with T1DM and 347 controls, recruited from institutions in a Mediterranean region of Spain. Conventional and advanced (assessed by nuclear magnetic resonance [NMR] spectroscopy) lipoprotein profiles were analysed. Crude and adjusted (by age, sex, statin use, body mass index and leukocyte count) comparisons were performed. Results The median (interquartile range) age of the study participants was 45 (38–53) years, 48.2% were men. In the T1DM group, the median diabetes duration was 23 (16–31) years, and 8.1% and 40.2% of individuals had nephropathy and retinopathy, respectively. The proportion of participants with hypertension (29.5 vs. 9.2%), and statin use (45.7% vs. 8.1%) was higher in the T1DM vs. controls (p < 0.001). The T1DM group had a better conventional (all parameters, p < 0.001) and NMR-lipid profile than the control group. Thus, T1DM individuals showed lower concentrations of atherogenic lipoproteins (VLDL-particles and LDL-particles) and higher concentrations of anti-atherogenic lipoproteins (HDL-particles) vs. controls, even after adjusting for several confounders (p < 0.001 for all). While non-diabetic women had a more favourable lipid profile than non-diabetic men, women with T1DM had a similar concentration of LDL-particles compared to men with T1DM (1231 [1125–1383] vs. 1257 [1128–1383] nmol/L, p = 0.849), and a similar concentration of small-LDL-particles to non-diabetic women (672.8 [614.2–733.9] vs. 671.2 [593.5–761.4] nmol/L, respectively; p = 0.790). Finally, T1DM individuals showed higher discrepancies between NMR-LDL-particles and conventional LDL-cholesterol than non-diabetic subjects (prevalence of LDL-cholesterol < 100 mg/dL & LDL-particles > 1000 nmol/L: 38 vs. 21.2%; p < 0.001). All these differences were largely unchanged in participants without lipid-lowering drugs (T1DM, n = 275; controls, n = 317). Conclusions Overall, T1DM participants showed a more favourable conventional and NMR-lipid profile than controls. However, the NMR-assessment identified several lipoprotein derangements in LDL-particles among the T1DM population (higher discrepancies in NMR-LDL-particles vs. conventional LDL-cholesterol; a worse profile in T1DM women) that were overlooked in the conventional analysis. Further studies are needed to elucidate their role in the development of CVD in this population.
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Affiliation(s)
- Antonio J Amor
- Department of Endocrinology & Nutrition, Diabetes Unit, Hospital Clínic de Barcelona, Villarroel, 170, 08036, Barcelona, Spain.,Institut d'investigacions biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - Esmeralda Castelblanco
- Department of Endocrinology & Nutrition, Hospital de la Santa Creu i Sant Pau & Institut d'Investigació Biomédica Sant Pau (IIB Sant Pau), Sant Quintí, 89, 08041, Barcelona, Spain.,Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain.,DAP-Cat Group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), 08006, Barcelona, Spain
| | - Marta Hernández
- Department of Endocrinology & Nutrition, Hospital Arnau de Vilanova & Institut d'Investigació Biomédica de Lleida (IRB Lleida), Lleida, Spain
| | - Marga Gimenez
- Department of Endocrinology & Nutrition, Diabetes Unit, Hospital Clínic de Barcelona, Villarroel, 170, 08036, Barcelona, Spain.,Institut d'investigacions biomèdiques August Pi i Sunyer, Barcelona, Spain.,Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain
| | - Minerva Granado-Casas
- Department of Endocrinology & Nutrition, Hospital de la Santa Creu i Sant Pau & Institut d'Investigació Biomédica Sant Pau (IIB Sant Pau), Sant Quintí, 89, 08041, Barcelona, Spain.,DAP-Cat Group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), 08006, Barcelona, Spain.,Biomedical Research Institute of Lleida & University of Lleida, Lleida, Spain
| | - Jesús Blanco
- Department of Endocrinology & Nutrition, Diabetes Unit, Hospital Clínic de Barcelona, Villarroel, 170, 08036, Barcelona, Spain.,Institut d'investigacions biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - Berta Soldevila
- Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain.,Department of Endocrinology & Nutrition, Health Sciences Research Institute & University Hospital Germans Trias i Pujol, Badalona, Spain
| | - Enric Esmatjes
- Department of Endocrinology & Nutrition, Diabetes Unit, Hospital Clínic de Barcelona, Villarroel, 170, 08036, Barcelona, Spain.,Institut d'investigacions biomèdiques August Pi i Sunyer, Barcelona, Spain.,Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain
| | - Ignacio Conget
- Department of Endocrinology & Nutrition, Diabetes Unit, Hospital Clínic de Barcelona, Villarroel, 170, 08036, Barcelona, Spain.,Institut d'investigacions biomèdiques August Pi i Sunyer, Barcelona, Spain.,Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain
| | - Nuria Alonso
- Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain.,Department of Endocrinology & Nutrition, Health Sciences Research Institute & University Hospital Germans Trias i Pujol, Badalona, Spain
| | - Emilio Ortega
- Department of Endocrinology & Nutrition, Diabetes Unit, Hospital Clínic de Barcelona, Villarroel, 170, 08036, Barcelona, Spain. .,Institut d'investigacions biomèdiques August Pi i Sunyer, Barcelona, Spain. .,Center for Biomedical Research on Pathophysiology of Obesity and Nutrition (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain.
| | - Didac Mauricio
- Department of Endocrinology & Nutrition, Hospital de la Santa Creu i Sant Pau & Institut d'Investigació Biomédica Sant Pau (IIB Sant Pau), Sant Quintí, 89, 08041, Barcelona, Spain. .,Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain. .,Biomedical Research Institute of Lleida & University of Lleida, Lleida, Spain.
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Abstract
PURPOSE OF REVIEW To review the recent evidence for lipid management in type 1 diabetes (T1D) for cardiovascular risk reduction. RECENT FINDINGS Individuals with T1D are at increased risk for cardiovascular morbidity and mortality, with atherosclerosis beginning as early as adolescence. Elevated low-density lipoprotein cholesterol (LDL-C), triglycerides, and lipoprotein (a) are associated with increased cardiovascular risk in T1D. Although high-density lipoprotein cholesterol (HDL-C) in T1D is often normal or higher than in nondiabetic controls, HDL in T1D has structural alterations, which make it proatherogenic rather than cardioprotective. Similarly, although LDL-C is not particularly elevated in T1D, LDL still contributes to cardiovascular risk. Studies in individuals with diabetes have primarily included T2D participants, with a much smaller number of T1D participants; such studies have shown that lipid-lowering therapies, such as statins, ezetimibe, and proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors reduce LDL-C levels and cardiovascular events in both those with and without diabetes. Individuals with T1D have increased cholesterol absorption, suggesting that ezetimibe may be particularly effective in T1D. Results of the REDUCE-IT trial show cardiovascular risk reduction from high-dose omega-3 fatty acid (Icosapent Ethyl) therapy in patients with diabetes (primarily type 2 diabetes), independent of triglyceride lowering, but similar data in T1D are currently lacking. SUMMARY Individuals with T1D are at high risk of cardiovascular disease, necessitating close lipid monitoring and management from adolescence through adulthood.
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Affiliation(s)
- Shoshana Tell
- Division of Pediatric Endocrinology, Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Kristen J. Nadeau
- Division of Pediatric Endocrinology, Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Robert H. Eckel
- Division of Endocrinology and Metabolism, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
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Vergès B. Dyslipidemia in Type 1 Diabetes: AMaskedDanger. Trends Endocrinol Metab 2020; 31:422-434. [PMID: 32217073 DOI: 10.1016/j.tem.2020.01.015] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Revised: 01/20/2020] [Accepted: 01/24/2020] [Indexed: 12/28/2022]
Abstract
Type 1 diabetes (T1D) patients show lipid disorders which are likely to play a role in their increased cardiovascular (CV) disease risk. Quantitative abnormalities of lipoproteins are noted in T1D with poor glycemic control. In T1D with optimal glycemic control, triglycerides and LDL-cholesterol are normal or slightly decreased whereas HDL-cholesterol is normal or slightly increased. T1D patients, even with good glycemic control, show several qualitative and functional abnormalities of lipoproteins that are potentially atherogenic. An association between these abnormalities and CV disease risk has been reported in recent studies. Although the mechanisms underlying T1D dyslipidemia remain unclear, the subcutaneous route of insulin administration, that is responsible for peripheral hyperinsulinemia, is likely to be an important factor.
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Affiliation(s)
- Bruno Vergès
- Service Endocrinologie, Diabétologie, et Maladies Métaboliques, Centre Hospitalier Universitaire (CHU), Institut National de la Santé et de la Recherche Médicale (INSERM) Lipides, Nutrition, Cancer (LNC)-Unité Mixte de Recherche (UMR) 1231, University of Burgundy, 21000 Dijon, France.
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Relationship between ABO blood groups and cardiovascular disease in type 1 diabetes according to diabetic nephropathy status. Cardiovasc Diabetol 2020; 19:68. [PMID: 32429911 PMCID: PMC7238526 DOI: 10.1186/s12933-020-01038-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Accepted: 05/09/2020] [Indexed: 12/18/2022] Open
Abstract
Background ABO blood groups have previously been associated with cardiovascular disease (CVD) in the general population. This study aimed to investigate the potential relationship between ABO blood groups and CVD in individuals with type 1 diabetes according to diabetic nephropathy (DN) status. Methods Adults with type 1 diabetes (4531 individuals) from the FinnDiane Study were evaluated. DN was determined by two out of three measurements of urinary albumin excretion rate. Albuminuria was defined as an excretion rate above 20 µg/min. CVD events were identified by linking the data with the Finnish Care Register for Health Care and the Finnish Cause of Death Register. Follow-up ranged from the baseline visit until a CVD event, death or the end of 2017. The impact of ABO blood groups on CVD risk was estimated by multivariable Cox-regression analyses adjusted for traditional risk factors. Results At baseline, the median age was 38.5 (IQR 29.2–47.9) years, 47.5% were female and median duration of diabetes was 20.9 (11.4–30.7) years. There were 893 incident ischemic heart disease (IHD) events, 301 ischemic strokes (IS), and 415 peripheral artery disease (PAD) events during a median follow up of 16.5 (IQR 12.8–18.6) years. The A blood group showed the highest risk of IHD versus the O blood group, when microalbuminuria was present. Comparing the population with microalbuminuria with those with normoalbuminuria, only the A blood group elevated the risk of IHD. This increased risk was neither explained by the FUT2 secretor phenotype nor by the A-genotype distribution. The risk of IS or PAD was no different among the ABO blood groups regardless of diabetic nephropathy stage. Conclusion The A blood group is a risk factor for IHD in individuals with type 1 diabetes and microalbuminuria.
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Temporal Dynamics of High-Density Lipoprotein Proteome in Diet-Controlled Subjects with Type 2 Diabetes. Biomolecules 2020; 10:biom10040520. [PMID: 32235466 PMCID: PMC7226298 DOI: 10.3390/biom10040520] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Revised: 03/18/2020] [Accepted: 03/28/2020] [Indexed: 12/15/2022] Open
Abstract
We examined the effect of mild hyperglycemia on high-density lipoprotein (HDL) metabolism and kinetics in diet-controlled subjects with type 2 diabetes (T2D). 2H2O-labeling coupled with mass spectrometry was applied to quantify HDL cholesterol turnover and HDL proteome dynamics in subjects with T2D (n = 9) and age- and BMI-matched healthy controls (n = 8). The activities of lecithin–cholesterol acyltransferase (LCAT), cholesterol ester transfer protein (CETP), and the proinflammatory index of HDL were quantified. Plasma adiponectin levels were reduced in subjects with T2D, which was directly associated with suppressed ABCA1-dependent cholesterol efflux capacity of HDL. The fractional catabolic rates of HDL cholesterol, apolipoprotein A-II (ApoA-II), ApoJ, ApoA-IV, transthyretin, complement C3, and vitamin D-binding protein (all p < 0.05) were increased in subjects with T2D. Despite increased HDL flux of acute-phase HDL proteins, there was no change in the proinflammatory index of HDL. Although LCAT and CETP activities were not affected in subjects with T2D, LCAT was inversely associated with blood glucose and CETP was inversely associated with plasma adiponectin. The degradation rates of ApoA-II and ApoA-IV were correlated with hemoglobin A1c. In conclusion, there were in vivo impairments in HDL proteome dynamics and HDL metabolism in diet-controlled patients with T2D.
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Hafiane A, Favari E, Daskalopoulou SS, Vuilleumier N, Frias MA. High-density lipoprotein cholesterol efflux capacity and cardiovascular risk in autoimmune and non-autoimmune diseases. Metabolism 2020; 104:154141. [PMID: 31923386 DOI: 10.1016/j.metabol.2020.154141] [Citation(s) in RCA: 8] [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: 10/30/2019] [Revised: 12/23/2019] [Accepted: 01/05/2020] [Indexed: 12/22/2022]
Abstract
Functional assessment of cholesterol efflux capacity (CEC) to high-density lipoprotein (HDL) is an emerging tool for evaluating morbidity and mortality associated with cardiovascular disease (CVD). By promoting macrophage reverse cholesterol transport (RCT), HDL-mediated CEC is believed to play an important role in atherosclerotic lesion progression in the vessel wall. Furthermore, recent evidence indicates that the typical inverse associations between various forms of CEC and CV events may be strongly modulated by environmental systemic factors and traditional CV risk factors, in addition to autoimmune diseases. These factors influence the complex and dynamic composition of HDL particles, which in turn positively or negatively affect HDL-CEC. Herein, we review recent findings connecting HDL-CEC to traditional CV risk factors and cardiometabolic conditions (non-autoimmune diseases) as well as autoimmune diseases, with a specific focus on how these factors may influence the associations between HDL-CEC and CVD risk.
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Affiliation(s)
- Anouar Hafiane
- Department of Medicine, Faculty of Medicine, Research Institute of the McGill University Health Centre, McGill University, 1001 Decarie Blvd, Bloc E01. 3370H, Montréal, Qc H4A 3J1, Canada.
| | - Elda Favari
- Department of Food and Drug, University of Parma, Parco Area delle Scienze, 27/A, 43124 Parma, Italy.
| | - Stella S Daskalopoulou
- Department of Medicine, Division of Internal Medicine, McGill University, Research Institute of the McGill University Health Centre, 1001 Decarie Blvd, EM1.2230, Montreal, Quebec H4A 3J1, Canada.
| | - Nicolas Vuilleumier
- Division of Laboratory Medicine, Diagnostic Department, Geneva University Hospitals, 1211 Geneva, Switzerland; Division of Laboratory Medicine, Department of Medical Specialties, Faculty of Medicine, University of Geneva, 1206 Geneva, Switzerland.
| | - Miguel A Frias
- Division of Laboratory Medicine, Diagnostic Department, Geneva University Hospitals, 1211 Geneva, Switzerland; Division of Laboratory Medicine, Department of Medical Specialties, Faculty of Medicine, University of Geneva, 1206 Geneva, Switzerland.
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41
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Druggable Sphingolipid Pathways: Experimental Models and Clinical Opportunities. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2020; 1274:101-135. [PMID: 32894509 DOI: 10.1007/978-3-030-50621-6_6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Intensive research in the field of sphingolipids has revealed diverse roles in cell biological responses and human health and disease. This immense molecular family is primarily represented by the bioactive molecules ceramide, sphingosine, and sphingosine 1-phosphate (S1P). The flux of sphingolipid metabolism at both the subcellular and extracellular levels provides multiple opportunities for pharmacological intervention. The caveat is that perturbation of any single node of this highly regulated flux may have effects that propagate throughout the metabolic network in a dramatic and sometimes unexpected manner. Beginning with S1P, the receptors for which have thus far been the most clinically tractable pharmacological targets, this review will describe recent advances in therapeutic modulators targeting sphingolipids, their chaperones, transporters, and metabolic enzymes.
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42
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Silva ARM, Toyoshima MTK, Passarelli M, Di Mascio P, Ronsein GE. Comparing Data-Independent Acquisition and Parallel Reaction Monitoring in Their Abilities To Differentiate High-Density Lipoprotein Subclasses. J Proteome Res 2019; 19:248-259. [PMID: 31697504 DOI: 10.1021/acs.jproteome.9b00511] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
High-density lipoprotein (HDL) is a diverse group of particles with multiple cardioprotective functions. HDL proteome follows HDL particle complexity. Many proteins were described in HDL, but consistent quantification of HDL protein cargo is still a challenge. To address this issue, the aim of this work was to compare data-independent acquisition (DIA) and parallel reaction monitoring (PRM) methodologies in their abilities to differentiate HDL subclasses through their proteomes. To this end, we first evaluated the analytical performances of DIA and PRM using labeled peptides in pooled digested HDL as a biological matrix. Next, we compared the quantification capabilities of the two methodologies for 24 proteins found in HDL2 and HDL3 from 19 apparently healthy subjects. DIA and PRM exhibited comparable linearity, accuracy, and precision. Moreover, both methodologies worked equally well, differentiating HDL subclasses' proteomes with high precision. Our findings may help to understand HDL functional diversity.
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Affiliation(s)
- Amanda R M Silva
- Departamento de Bioquímica , Instituto de Química, Universidade de São Paulo , São Paulo 05513970 , Brazil
| | - Marcos T K Toyoshima
- Laboratório de Lípides (LIM-10) , Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo , São Paulo 01246903 , Brazil.,Serviço de Onco-Endocrinologia, Instituto do Câncer do Estado de São Paulo Octávio Frias de Oliveira , Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo , São Paulo 01246000 , Brazil
| | - Marisa Passarelli
- Laboratório de Lípides (LIM-10) , Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo , São Paulo 01246903 , Brazil.,Programa de Pós-Graduação da Universidade Nove de Julho , São Paulo 01504001 , Brazil
| | - Paolo Di Mascio
- Departamento de Bioquímica , Instituto de Química, Universidade de São Paulo , São Paulo 05513970 , Brazil
| | - Graziella E Ronsein
- Departamento de Bioquímica , Instituto de Química, Universidade de São Paulo , São Paulo 05513970 , Brazil
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43
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Abstract
Introduction: High-density lipoprotein (HDL) particles are heterogeneous and their proteome is complex and distinct from HDL cholesterol. However, it is largely unknown whether HDL proteins are associated with cardiovascular protection. Areas covered: HDL isolation techniques and proteomic analyses are reviewed. A list of HDL proteins reported in 37 different studies was compiled and the effects of different isolation techniques on proteins attributed to HDL are discussed. Mass spectrometric techniques used for HDL analysis and the need for precise and robust methods for quantification of HDL proteins are discussed. Expert opinion: Proteins associated with HDL have the potential to be used as biomarkers and/or help to understand HDL functionality. To achieve this, large cohorts must be studied using precise quantification methods. Key factors in HDL proteome quantification are the isolation methodology and the mass spectrometry technique employed. Isolation methodology affects what proteins are identified in HDL and the specificity of association with HDL particles needs to be addressed. Shotgun proteomics yields imprecise quantification, but the majority of HDL studies relied on this approach. Few recent studies used targeted tandem mass spectrometry to quantify HDL proteins, and it is imperative that future studies focus on the application of these precise techniques.
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Affiliation(s)
- Graziella Eliza Ronsein
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo , São Paulo , Brazil
| | - Tomáš Vaisar
- UW Medicine Diabetes Institute, Department of Medicine, University of Washington , Seattle , WA , USA
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Jakob P, Lüscher TF. Dysfunctional HDL and inflammation: a noxious liaison in adolescents with type 1 diabetes. Eur Heart J 2019; 40:3567-3570. [DOI: 10.1093/eurheartj/ehz502] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Abstract
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Affiliation(s)
- Philipp Jakob
- Department of Cardiology, University Heart Center, Zürich, Switzerland
- Charité Universitätsmedizin Berlin, Berlin Institute of Health (BIH), Berlin and German Center for Cardiovascular Research (DZHK), Berlin, Germany
| | - Thomas F Lüscher
- Center for Molecular Cardiology, University of Zurich, Zurich, Switzerland
- Department of Cardiology, Royal Brompton and Harefield Hospitals, Imperial College, London, UK
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