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Wicks TR, Nehzat N, Wolska A, Shalaurova I, Browne RW, Weinstock-Guttman B, Jakimovski D, Zivadinov R, Remaley AT, Otvos J, Ramanathan M. Dyslipidemias in multiple sclerosis. Mult Scler Relat Disord 2024; 91:105841. [PMID: 39260223 DOI: 10.1016/j.msard.2024.105841] [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: 05/27/2024] [Revised: 08/14/2024] [Accepted: 08/21/2024] [Indexed: 09/13/2024]
Abstract
PURPOSE To investigate the frequency of dyslipidemia phenotypes in multiple sclerosis and to assess the associations with lipoprotein particle size distributions. METHODS This cross-sectional study included 203 healthy controls (HC), 221 relapsing-remitting MS (RRMS), and 126 progressive MS (PMS). A lipid profile with total cholesterol, high-density lipoprotein cholesterol (HDL-C), triglycerides, and apolipoprotein B levels were measured. Low density lipoprotein cholesterol (LDL-C), very low-density lipoprotein cholesterol, large buoyant LDL-C and small dense LDL-C were calculated using the Sampson-NIH equations method. Dyslipidemia phenotypes were categorized by their nonHDL-C and triglyceride values. The diameters and concentrations of triglyceride-rich lipoprotein particles (TRLP), LDL particles (LDLP), and HDL particles (HDLP) were measured with proton NMR lipoprotein profiling. Serum proprotein convertase subtilisin/kexin type 9 (PCSK9) levels were obtained using immunoassay. RESULTS The frequencies of normolipidemia, and various dyslipidemia phenotypes were similar in HC, RRMS, and PMS. The size of the TRLP, very large TRLP, large TRLP, and small LDLP concentrations had a decreasing pattern of HC>RR>PMS. The lowest tertile of EDSS was associated with higher concentrations of HDLP and small HDLP in PMS. PCSK9 was associated with concentration of HDL particles, primarily via its effects on the concentration of small HDL particles. CONCLUSIONS There were no differences in the frequency of dyslipidemias in MS compared to healthy controls. Higher HDLP concentrations are associated with lower disability in PMS.
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Affiliation(s)
- Taylor R Wicks
- Departments of Pharmaceutical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Nasim Nehzat
- Departments of Pharmaceutical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Anna Wolska
- Lipoprotein Metabolism Laboratory, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Richard W Browne
- Biotechnical and Clinical Laboratory Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | | | - Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, University at Buffalo, The State University of New York, Buffalo, NY, USA; Wynn Hospital, Mohawk Valley Health System, Utica, NY 13502, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, University at Buffalo, The State University of New York, Buffalo, NY, USA; Center for Biomedical Imaging, Clinical Translational Science Institute, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Alan T Remaley
- Lipoprotein Metabolism Laboratory, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - James Otvos
- Lipoprotein Metabolism Laboratory, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA; Biotechnical and Clinical Laboratory Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Murali Ramanathan
- Departments of Pharmaceutical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA; Neurology, University at Buffalo, The State University of New York, Buffalo, NY, USA.
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Hulander E, Bärebring L, Winkvist A, Gjertsson I, Lindqvist HM. A randomized controlled cross-over trial investigating the acute inflammatory and metabolic response after meals based on red meat, fatty fish, or soy protein: the postprandial inflammation in rheumatoid arthritis (PIRA) trial. Eur J Nutr 2024:10.1007/s00394-024-03451-6. [PMID: 38935139 DOI: 10.1007/s00394-024-03451-6] [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: 11/15/2023] [Accepted: 06/08/2024] [Indexed: 06/28/2024]
Abstract
PURPOSE Rheumatoid Arthritis (RA) has a point prevalence of around 20 million people worldwide. Patients with RA often believe that food intake affects disease activity, and that intake of red meat aggravate symptoms. The main objective of the Postprandial Inflammation in Rheumatoid Arthritis (PIRA) trial was to assess whether postprandial inflammation and serum lipid profile are affected differently by a meal including red meat, fatty fish, or a soy protein (vegan) meal. METHODS Using a randomized controlled crossover design, 25 patients were assigned to eat isocaloric hamburger meals consisting of red meat (60% beef, 40% pork), fatty fish (salmon), or soy protein for breakfast. Blood samples were taken before meals and at intervals up to 5 h postprandial. The analysis included the inflammation marker interleukin 6 (IL-6) and serum lipids. RESULTS No significant differences in postprandial IL-6 or triglyceride concentrations were found between meals. However, the area under the curve of very low density lipoprotein (VLDL) particle counts, as well as VLDL-4-bound cholesterol, triglycerides, and phospholipids, was higher after the fatty fish compared to both red meat and soy protein. CONCLUSION Postprandial inflammation assessed by IL-6 did not indicate any acute negative effects of red meat intake compared to fatty fish- or soy protein in patients with RA. The fatty fish meal resulted in a higher number of VLDL-particles and more lipids in the form of small VLDL particles compared to the other protein sources.
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Affiliation(s)
- Erik Hulander
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, EH, LB, AW, HL, Sweden.
| | - Linnea Bärebring
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, EH, LB, AW, HL, Sweden
| | - Anna Winkvist
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, EH, LB, AW, HL, Sweden
| | - Inger Gjertsson
- Department of Rheumatology and Inflammation Research, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, IG, Sweden
| | - Helen M Lindqvist
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, EH, LB, AW, HL, Sweden
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Costacou T, Miller RG, Bornfeldt KE, Heinecke JW, Orchard TJ, Vaisar T. Sex differences in the associations of HDL particle concentration and cholesterol efflux capacity with incident coronary artery disease in type 1 diabetes: The RETRO HDLc cohort study. J Clin Lipidol 2024; 18:e218-e229. [PMID: 38320926 PMCID: PMC11069450 DOI: 10.1016/j.jacl.2024.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 01/08/2024] [Accepted: 01/23/2024] [Indexed: 02/08/2024]
Abstract
BACKGROUND In type 1 diabetes, women lose their relative protection (compared to men) against coronary artery disease (CAD), while high-density lipoprotein cholesterol (HDL-C) is less strongly associated with lower CAD risk in women. OBJECTIVE We aimed to assess whether sex differences in the HDL particle concentration (HDL-P) and cholesterol efflux capacity (CEC) association with CAD may explain these findings. METHODS HDL-P (calibrated differential ion mobility analysis) and total and ATP binding cassette transporter A1 (ABCA1)-specific CEC were quantified among 279 men and 271 women with type 1 diabetes (baseline mean age 27·8 years; diabetes duration, 19·6 years). Clinical CAD was defined as CAD death, myocardial infarction and/or coronary revascularization. RESULTS Women had higher large HDL-P levels and marginally lower concentrations of small HDL-P and ABCA1-specific CEC than men. No sex differences were observed in extra-small HDL-P, medium HDL-P and total CEC. During a median follow-up of 26 years, 37·6 % of men and 35·8 % of women developed CAD (p = 0·72). In multivariable Cox models stratified by sex (pTotal HDL-P x sex interaction=0·01), HDL-P was negatively associated with CAD incidence in both sexes. However, associations were stronger in men, particularly for extra-small HDL-P (hazard ratio (HR)men=0·11, 95 % confidence interval (CI): 0·04-0·30; HRwomen=0·68, 95 % CI: 0·28-1·66; pinteraction=0·001). CEC did not independently predict CAD in either sex. CONCLUSION Despite few absolute differences in HDL-P concentrations by sex, the HDL-P - CAD association was weaker in women, particularly for extra-small HDL-P, suggesting that HDL-P may be less efficient in providing atheroprotection in women and perhaps explaining the lack of a sex difference in CAD in type 1 diabetes.
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Affiliation(s)
- Tina Costacou
- Department of Epidemiology (Drs Costacou, Miller, Orchard), School of Public Health, University of Pittsburgh, Pittsburgh, PA 15213, United States.
| | - Rachel G Miller
- Department of Epidemiology (Drs Costacou, Miller, Orchard), School of Public Health, University of Pittsburgh, Pittsburgh, PA 15213, United States
| | - Karin E Bornfeldt
- Department of Medicine (Drs Bornfeldt, Heinecke, Vaisar), University of Washington, Seattle, WA 98102, United States
| | - Jay W Heinecke
- Department of Medicine (Drs Bornfeldt, Heinecke, Vaisar), University of Washington, Seattle, WA 98102, United States
| | - Trevor J Orchard
- Department of Epidemiology (Drs Costacou, Miller, Orchard), School of Public Health, University of Pittsburgh, Pittsburgh, PA 15213, United States
| | - Tomas Vaisar
- Department of Medicine (Drs Bornfeldt, Heinecke, Vaisar), University of Washington, Seattle, WA 98102, United States
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Kirwan R, Mazidi M, Butler T, Perez de Heredia F, Lip GYH, Davies IG. The association of appendicular lean mass and grip strength with low-density lipoprotein, very low-density lipoprotein, and high-density lipoprotein particle diameter: a Mendelian randomization study of the UK Biobank cohort. EUROPEAN HEART JOURNAL OPEN 2024; 4:oeae019. [PMID: 38595990 PMCID: PMC11003544 DOI: 10.1093/ehjopen/oeae019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 03/08/2024] [Accepted: 03/12/2024] [Indexed: 04/11/2024]
Abstract
Aims Reduced muscle mass and reduced strength are frequently associated with both alterations in blood lipids and poorer cardiometabolic outcomes in epidemiological studies; however, a causal association cannot be determined from such observations. Two-sample Mendelian randomization (MR) was applied to assess the association of genetically determined appendicular lean mass (ALM) and handgrip strength (HGS) with serum lipid particle diameter. Methods and results Mendelian randomization was implemented using summary-level data from the largest genome-wide association studies on ALM (n = 450 243), HGS (n = 223 315), and lipoprotein [low-density lipoprotein (LDL), very LDL (VLDL), and high-density lipoprotein (HDL)] particle diameters (n = 115 078). Inverse variance-weighted (IVW) method was used to calculate the causal estimates. Weighted median-based method, MR-Egger, and leave-one-out method were applied as sensitivity analysis. Greater ALM had a statistically significant positive effect on HDL particle diameter (MR-Egger: β = 0.055, SE = 0.031, P = 0.081; IVW: β = 0.068, SE = 0.014, P < 0.001) and a statistically significant negative effect on VLDL particle diameter (MR-Egger: β = -0.114, SE = 0.039, P = 0.003; IVW: β = -0.081, SE = 0.017, P < 0.001). Similarly, greater HGS had a statistically significant positive effect on HDL particle diameter (MR-Egger: β = 0.433, SE = 0.184, P = 0.019; IVW: β = 0.121, SE = 0.052, P = 0.021) and a statistically significant negative effect on VLDL particle diameter (MR-Egger: β = -0.416, SE = 0.163, P = 0.011; IVW: β = -0.122, SE = 0.046, P = 0.009). There was no statistically significant effect of either ALM or HGS on LDL particle diameter. Conclusion There were potentially causal associations between both increasing ALM and HGS and increasing HDL particle size and decreasing VLDL particle size. These causal associations may offer possibilities for interventions aimed at improving cardiovascular disease risk profile.
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Affiliation(s)
- Richard Kirwan
- Research Institute of Sport and Exercise Science, Liverpool John Moores University, Liverpool, UK
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University, Liverpool Heart and Chest Hospital, Liverpool, UK
| | - Mohsen Mazidi
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University, Liverpool Heart and Chest Hospital, Liverpool, UK
- Clinical Trial Service Unit, Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Roosevelt Dr., Doll Bldg, Oxford, OX3 7LF, UK
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Tom Butler
- School of Applied Health and Social Care and Social Work, Faculty of Health, Social Care and Medicine, Edge Hill University, Ormskirk, UK
| | - Fatima Perez de Heredia
- School of Biological and Environmental Sciences, Liverpool John Moores University, Liverpool, UK
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University, Liverpool Heart and Chest Hospital, Liverpool, UK
- Danish Center for Clinical Health Services Research, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Ian G Davies
- Research Institute of Sport and Exercise Science, Liverpool John Moores University, Liverpool, UK
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University, Liverpool Heart and Chest Hospital, Liverpool, UK
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Laupsa-Borge J, Grytten E, Bohov P, Bjørndal B, Strand E, Skorve J, Nordrehaug JE, Berge RK, Rostrup E, Mellgren G, Dankel SN, Nygård OK. Sex-specific responses in glucose-insulin homeostasis and lipoprotein-lipid components after high-dose supplementation with marine n-3 PUFAs in abdominal obesity: a randomized double-blind crossover study. Front Nutr 2023; 10:1020678. [PMID: 37404855 PMCID: PMC10315503 DOI: 10.3389/fnut.2023.1020678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 06/01/2023] [Indexed: 07/06/2023] Open
Abstract
Background Clinical studies on effects of marine-derived omega-3 (n-3) polyunsaturated fatty acids (PUFAs), mainly eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), and the plant-derived omega-6 (n-6) PUFA linoleic acid (LA) on lipoprotein-lipid components and glucose-insulin homeostasis have shown conflicting results, which may partly be explained by differential responses in females and males. However, we have lacked data on sexual dimorphism in the response of cardiometabolic risk markers following increased consumption of n-3 or n-6 PUFAs. Objective To explore sex-specific responses after n-3 (EPA + DHA) or n-6 (LA) PUFA supplementation on circulating lipoprotein subfractions, standard lipids, apolipoproteins, fatty acids in red blood cell membranes, and markers of glycemic control/insulin sensitivity among people with abdominal obesity. Methods This was a randomized double-blind crossover study with two 7-week intervention periods separated by a 9-week washout phase. Females (n = 16) were supplemented with 3 g/d of EPA + DHA (fish oil) or 15 g/d of LA (safflower oil), while males (n = 23) received a dose of 4 g/d of EPA + DHA or 20 g/d of LA. In fasting blood samples, we measured lipoprotein particle subclasses, standard lipids, apolipoproteins, fatty acid profiles, and markers of glycemic control/insulin sensitivity. Results The between-sex difference in relative change scores was significant after n-3 for total high-density lipoproteins (females/males: -11%*/-3.3%, p = 0.036; *: significant within-sex change), high-density lipoprotein particle size (+2.1%*/-0.1%, p = 0.045), and arachidonic acid (-8.3%*/-12%*, p = 0.012), and after n-6 for total (+37%*/+2.1%, p = 0.041) and small very-low-density lipoproteins (+97%*/+14%, p = 0.021), and lipoprotein (a) (-16%*/+0.1%, p = 0.028). Circulating markers of glucose-insulin homeostasis differed significantly after n-3 for glucose (females/males: -2.1%/+3.9%*, p = 0.029), insulin (-31%*/+16%, p < 0.001), insulin C-peptide (-12%*/+13%*, p = 0.001), homeostasis model assessment of insulin resistance index 2 (-12%*/+14%*, p = 0.001) and insulin sensitivity index 2 (+14%*/-12%*, p = 0.001), and quantitative insulin sensitivity check index (+4.9%*/-3.4%*, p < 0.001). Conclusion We found sex-specific responses after high-dose n-3 (but not n-6) supplementation in circulating markers of glycemic control/insulin sensitivity, which improved in females but worsened in males. This may partly be related to the sex differences we observed in several components of the lipoprotein-lipid profile following the n-3 intervention. Clinical trial registration https://clinicaltrials.gov/, identifier [NCT02647333].
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Affiliation(s)
- Johnny Laupsa-Borge
- Hormone Laboratory, Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, Norway
- Mohn Nutrition Research Laboratory, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Elise Grytten
- Hormone Laboratory, Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, Norway
- Mohn Nutrition Research Laboratory, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Pavol Bohov
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Bodil Bjørndal
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Elin Strand
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Jon Skorve
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Jan Erik Nordrehaug
- Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Heart Disease, Haukeland University Hospital, Bergen, Norway
| | - Rolf K. Berge
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Espen Rostrup
- Department of Heart Disease, Haukeland University Hospital, Bergen, Norway
| | - Gunnar Mellgren
- Hormone Laboratory, Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, Norway
- Mohn Nutrition Research Laboratory, Department of Clinical Science, University of Bergen, Bergen, Norway
- Mohn Research Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Simon N. Dankel
- Hormone Laboratory, Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, Norway
- Mohn Nutrition Research Laboratory, Department of Clinical Science, University of Bergen, Bergen, Norway
- Mohn Research Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Ottar K. Nygård
- Mohn Nutrition Research Laboratory, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Heart Disease, Haukeland University Hospital, Bergen, Norway
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Serés-Noriega T, Ortega E, Giménez M, Perea V, Boswell L, Mariaca K, Font C, Mesa A, Viñals C, Blanco J, Vinagre I, Pané A, Esmatjes E, Conget I, Amor AJ. Advanced lipoprotein profile identifies atherosclerosis better than conventional lipids in type 1 diabetes at high cardiovascular risk. Nutr Metab Cardiovasc Dis 2023; 33:1235-1244. [PMID: 37088651 DOI: 10.1016/j.numecd.2023.03.025] [Citation(s) in RCA: 1] [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: 01/09/2023] [Revised: 03/14/2023] [Accepted: 03/30/2023] [Indexed: 04/25/2023]
Abstract
BACKGROUND AND AIMS People with type 1 diabetes (T1D) present lipoprotein disturbances that could contribute to their increased cardiovascular disease (CVD) risk. We evaluated the relationship between lipoprotein alterations and atherosclerosis in patients with T1D. METHODS AND RESULTS Cross-sectional study in subjects with T1D, without previous CVD, but high-risk (≥40 years, nephropathy, or ≥10 years of evolution of diabetes with another risk factor). The presence of plaque (intima-media thickness ≥1.5 mm) in the different carotid segments was determined by ultrasound. The advanced lipoprotein profile was analysed by magnetic resonance imaging (1H NMR). We included 189 patients (42% women, 47.8 ± 10.7 years, duration of diabetes 27.3 ± 10.1 years, HbA1c 7.5% [7-8]). Those with carotid plaques (35%) were older, with longer diabetes duration, had a higher prevalence of hypertension, and showed lower and smaller LDL particles (LDL-P) and HDL particles (HDL-P), but higher VLDL particles (VLDL-P). Some LDL, HDL and VLDL-related parameters were associated with atherosclerosis in sex, age and statin use adjusted models (p < 0.05), but after adjusting for multiple confounders, including conventional lipid parameters, only HDL-P (OR 0.440 [0.204-0.951]; p = 0.037), medium HDL-P (OR 0.754 [0.590-0.963]; p = 0.024), HDL-P cholesterol content (OR 0.692 [0.495-0.968]; p = 0.032), 1H NMR LDL-P number/conventional LDL-cholesterol (OR 1.144 [1.026-1.275]; p = 0.015), and 1H NMR non-HDL particle number/conventional non-HDL-cholesterol ratios (OR 1.178 [1.019-1.361], p = 0.026) remained associated with atherosclerosis. CONCLUSIONS In adults with T1D at high-risk, variables related to HDL, LDL and total atherogenic particle number are independently associated with preclinical atherosclerosis. Advanced lipoprotein profiling could be used to identify those at the highest risk of CVD.
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Affiliation(s)
- Tonet Serés-Noriega
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain.
| | - Emilio Ortega
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain; Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición. (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Marga Giménez
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Verónica Perea
- Endocrinology and Nutrition Department, Hospital Universitari Mútua de Terrassa, Terrassa, Spain
| | - Laura Boswell
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain; Endocrinology and Nutrition Department, Althaia University Health Network, Manresa, Spain
| | - Karla Mariaca
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
| | - Carla Font
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
| | - Alex Mesa
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
| | - Clara Viñals
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
| | - Jesús Blanco
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Irene Vinagre
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Adriana Pané
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain; Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición. (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Enric Esmatjes
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Ignacio Conget
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Antonio J Amor
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain.
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Miller RG, Costacou T. Cardiovascular Disease in Adults with Type 1 Diabetes: Looking Beyond Glycemic Control. Curr Cardiol Rep 2022; 24:1467-1475. [PMID: 35947333 DOI: 10.1007/s11886-022-01763-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/01/2022] [Indexed: 11/29/2022]
Abstract
PURPOSE OF REVIEW Despite improvements in treatment, people with type 1 diabetes continue to have increased cardiovascular disease (CVD) risk. Glycemic control does not fully explain this excess CVD risk, so a greater understanding of other risk factors is needed. RECENT FINDINGS The authors review the relationship between glycemia and CVD risk in adults with type 1 diabetes and summarize evidence regarding other factors that may explain risk beyond glycemia. Insulin resistance, weight gain, sex differences, genetics, inflammation, emerging markers of risk, including lipid subclasses and epigenetic modifications, and future directions are discussed. As glycemic control improves, an increased focus on other CVD risk factors is warranted in type 1 diabetes. Novel markers and precision medicine approaches may improve CVD prediction, but a lack of type 1 diabetes-specific guidelines for lipids, blood pressure, and physical activity are likely impediments to optimal CVD prevention in this high-risk population.
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Affiliation(s)
- Rachel G Miller
- Department of Epidemiology, School of Public Health, University of Pittsburgh, 130 N. Bellefield Avenue, Pittsburgh, PA, 15213, USA
| | - Tina Costacou
- Department of Epidemiology, School of Public Health, University of Pittsburgh, 130 N. Bellefield Avenue, Pittsburgh, PA, 15213, USA.
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Toffol E, Heikinheimo O, Jousilahti P, But A, Joensuu A, Latvala A, Partonen T, Erlund I, Haukka J. Metabolomics profile of 5649 users and non-users of hormonal intrauterine devices in Finland. Am J Obstet Gynecol 2022; 227:603.e1-603.e29. [PMID: 35697093 DOI: 10.1016/j.ajog.2022.06.009] [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: 04/12/2022] [Revised: 06/03/2022] [Accepted: 06/06/2022] [Indexed: 11/15/2022]
Abstract
BACKGROUND Use of hormonal intrauterine devices has grown during the last decades. Although the hormonal intrauterine devices act mostly via local effects on uterus, measurable concentrations of levonorgestrel are absorbed into the systemic circulation. The possible metabolic changes and large scale biomarker profiles associated with the hormonal intrauterine devices have not yet been studied in detail. OBJECTIVES To examine, through the metabolomics approach, the metabolic profile of the hormonal intrauterine device use, its associations as a function of the duration of use, as well as those with after discontinuation of the hormonal intrauterine device use. STUDY DESIGN The study consists of cross-sectional analyses of five population-based surveys (FINRISK and FinHealth studies), spanning 1997-2017. All fertile aged (18-49 years) participants in the surveys with available information on hormonal contraceptive use and metabolomics data (n=5649), were included in the study. Altogether 211 metabolic measures in users of hormonal intrauterine devices (n=1006) were compared to those in non-users of hormonal contraception (n=4643) via multivariable linear regression models. In order to allow the comparison across multiple measures, association magnitudes are reported in SD units of difference in biomarker concentration compared to the reference group. RESULTS After adjustment for covariates, levels of 141 metabolites differed in current users of hormonal intrauterine devices compared to non-users of hormonal contraception (median difference in biomarker concentration: 0.09 SD): lower levels of particle concentration of larger lipoprotein subclasses, triglycerides, cholesterol and derivatives, apolipoproteins A and B, fatty acids, glycoprotein acetyls and aromatic amino acids. The metabolic pattern of the hormonal intrauterine device use did not change according to the duration of use. When comparing previous users and never-users of hormonal intrauterine devices, no significant metabolic differences emerged. CONCLUSIONS The use of hormonal intrauterine devices was associated with several moderate metabolic changes, previously associated with reduced arterial cardiometabolic risk. The metabolic effects were independent of the duration of use of the hormonal intrauterine devices. Moreover, the metabolic profiles were similar after discontinuation of the hormonal intrauterine devices and in never-users.
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Affiliation(s)
- Elena Toffol
- Department of Public Health, Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Oskari Heikinheimo
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Pekka Jousilahti
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Anna But
- Department of Public Health, Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Anni Joensuu
- Department of Knowledge Brokers, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Antti Latvala
- Institute of Criminology and Legal Policy, University of Helsinki, Helsinki, Finland
| | - Timo Partonen
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Iris Erlund
- Department of Government Services, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Jari Haukka
- Department of Public Health, Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
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9
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Identification of different lipoprotein response types in people following a Mediterranean diet pattern with and without whole eggs. Nutr Res 2022; 105:82-96. [DOI: 10.1016/j.nutres.2022.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 06/17/2022] [Accepted: 06/18/2022] [Indexed: 11/19/2022]
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10
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Wilkens TL, Tranæs K, Eriksen JN, Dragsted LO. Moderate alcohol consumption and lipoprotein subfractions: a systematic review of intervention and observational studies. Nutr Rev 2022; 80:1311-1339. [PMID: 34957513 PMCID: PMC9308455 DOI: 10.1093/nutrit/nuab102] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
CONTEXT Moderate alcohol consumption is associated with decreased risk of cardiovascular disease (CVD) and improvement in cardiovascular risk markers, including lipoproteins and lipoprotein subfractions. OBJECTIVE To systematically review the relationship between moderate alcohol intake, lipoprotein subfractions, and related mechanisms. DATA SOURCES Following PRISMA, all human and ex vivo studies with an alcohol intake up to 60 g/d were included from 8 databases. DATA EXTRACTION A total of 17 478 studies were screened, and data were extracted from 37 intervention and 77 observational studies. RESULTS Alcohol intake was positively associated with all HDL subfractions. A few studies found lower levels of small LDLs, increased average LDL particle size, and nonlinear relationships to apolipoprotein B-containing lipoproteins. Cholesterol efflux capacity and paraoxonase activity were consistently increased. Several studies had unclear or high risk of bias, and heterogeneous laboratory methods restricted comparability between studies. CONCLUSIONS Up to 60 g/d alcohol can cause changes in lipoprotein subfractions and related mechanisms that could influence cardiovascular health. SYSTEMATIC REVIEW REGISTRATION PROSPERO registration no. 98955.
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Affiliation(s)
- Trine L Wilkens
- Department of Nutrition, Exercise and Sports, Section for Preventive and Clinical Nutrition, University of Copenhagen, Denmark
| | - Kaare Tranæs
- Department of Nutrition, Exercise and Sports, Section for Preventive and Clinical Nutrition, University of Copenhagen, Denmark
| | - Jane N Eriksen
- Department of Nutrition, Exercise and Sports, Section for Preventive and Clinical Nutrition, University of Copenhagen, Denmark
| | - Lars O Dragsted
- Department of Nutrition, Exercise and Sports, Section for Preventive and Clinical Nutrition, University of Copenhagen, Denmark
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11
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Raman spectroscopy combined with comprehensive gas chromatography for label-free characterization of plasma-derived extracellular vesicle subpopulations. Anal Biochem 2022; 647:114672. [PMID: 35395223 DOI: 10.1016/j.ab.2022.114672] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Revised: 03/12/2022] [Accepted: 03/22/2022] [Indexed: 11/22/2022]
Abstract
Raman spectroscopy together with comprehensive two-dimensional gas chromatography-time-of-flight mass spectrometry (GCxGC-TOFMS) was employed to characterize exomere- (<50 nm) and exosome-sized (50-80 nm) EVs isolated from human plasma by the novel on-line immunoaffinity chromatography - asymmetric flow field-flow fractionation method. CD9+, CD63+, and CD81+ EVs were selected to represent general EV subpopulations secreted into plasma, while CD61+EVs represented the specific EV subset derived from platelets. Raman spectroscopy could distinguish EVs from non-EV particles, including apolipoprotein B-100-containing lipoproteins, signifying its potential in EV purity assessment. Moreover, platelet-derived (CD61+) EVs of both exomere and exosome sizes were discriminated from other EV subpopulations due to different biochemical compositions. Further investigations demonstrated composition differences between exomere- and exosome-sized EVs, confirming the applicability of Raman spectroscopy in distinguishing EVs, not only from different origins but also sizes. In addition, fatty acids that act as building blocks for lipids and membranes in EVs were studied by GCxGC-TOF-MS. The results achieved highlighted differences in EV fatty acid compositions in both esterified (membrane lipids) and non-esterified (free fatty acids) fractions, indicating possible differences in membrane structures, biological functions, and roles in cell-to-cell communications of EV subpopulations.
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12
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Castelblanco E, Hernández M, Ortega E, Amigó N, Real J, Granado-Casas M, Miñambres I, López C, Lecube A, Bermúdez-López M, Alonso N, Julve J, Mauricio D. Outstanding improvement of the advanced lipoprotein profile in subjects with new-onset type 1 diabetes mellitus after achieving optimal glycemic control. Diabetes Res Clin Pract 2021; 182:109145. [PMID: 34785302 DOI: 10.1016/j.diabres.2021.109145] [Citation(s) in RCA: 6] [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: 07/11/2021] [Revised: 10/27/2021] [Accepted: 11/08/2021] [Indexed: 12/31/2022]
Abstract
AIMS The impact of glycemic optimization on lipoprotein subfraction parameters in apparently normolipidemic subjects with new-onset type 1 diabetes mellitus (T1D) was examined. METHODS We evaluated the serum lipid and advanced lipoprotein profiles in twenty subjects at onset of T1D and twenty non-diabetic controls by laboratory methods and 1H NMR spectroscopy shortly after diabetes diagnosis (baseline), and after achieving optimal glycemic control (HbA1c ≤ 7.0%). RESULTS Advanced lipoprotein analysis revealed a significant reduction from baseline in serum concentrations of triglycerides (TG), cholesterol (C), and apolipoprotein (Apo)B-containing lipoproteins of treated subjects (VLDL-TG: -21%, IDL-TG: -30%, LDL-TG: -34%, LDL-TG: -36%, P < 0.05; VLDL-C: -23%, IDL-C: -44%, LDL-C: -16%; p < 0.05). Decreased VLDL and LDL lipids were mainly attributed to concomitant reductions in the concentration of medium-sized VLDL (-36%) and medium-sized LDL (-31%) and, to a lesser extent, to large-sized LDL (-14%). Notably, proatherogenic IDL characteristics and related surrogates of atherogenicity were resolved upon achievement of optimal glycemic status. Moreover, the concentration of HDL-TG was also reduced (-18%) at follow-up. CONCLUSIONS Our data showed that the achievement of optimal glycemic control after T1D onset corrected hidden derangements in ApoB-containing lipoproteins (particularly IDL) and HDL-TG that are related to higher cardiovascular risk in poorly controlled T1D.
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Affiliation(s)
- Esmeralda Castelblanco
- Department of Internal Medicine, Endocrinology, Metabolism and Lipid Research Division, Washington University School of Medicine, St Louis, MO 63110, USA; Unitat de Suport a la Recerca Barcelona, Institut Universitari d'Investigació en Atenció Primària Jordi Gol i Gurina (IDIAP Jordi Gol), 08007 Barcelona, Spain
| | - Marta Hernández
- Department of Endocrinology & Nutrition, Hospital Arnau de Vilanova & Institut d'Investigació Biomédica de Lleida (IRB Lleida), 25198 Lleida, Spain
| | - Emilio Ortega
- Department of Endocrinology & Nutrition, Diabetes Unit, Hospital Clínic de Barcelona, 08036 Barcelona, Spain; Institut d'investigacions biomèdiques August Pi i Sunyer, 08036 Barcelona, Spain; Center for Biomedical Research on Pathophysiology of Obesity and Nutrition (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28028 Madrid, Spain
| | - Núria Amigó
- Biosfer Teslab, SL, Reus, Spain; Metabolomics Platform, Rovira i Virgili University (URV), Instituto de Investigación Sanitaria Pere Virigili (IISPV), 43007 Tarragona, Spain
| | - Jordi Real
- Unitat de Suport a la Recerca Barcelona, Institut Universitari d'Investigació en Atenció Primària Jordi Gol i Gurina (IDIAP Jordi Gol), 08007 Barcelona, Spain; Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28022 Madrid, Spain
| | - Minerva Granado-Casas
- Department of Endocrinology & Nutrition, Hospital Arnau de Vilanova & Institut d'Investigació Biomédica de Lleida (IRB Lleida), 25198 Lleida, Spain; Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28022 Madrid, Spain; Department of Endocrinology & Nutrition, Hospital de la Santa Creu i Sant Pau & Sant Pau Biomedical Research Institute (IIB Sant Pau), 08041 Barcelona, Spain
| | - Inka Miñambres
- Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28022 Madrid, Spain; Department of Endocrinology & Nutrition, Hospital de la Santa Creu i Sant Pau & Sant Pau Biomedical Research Institute (IIB Sant Pau), 08041 Barcelona, Spain
| | - Carolina López
- Department of Endocrinology & Nutrition, Hospital Arnau de Vilanova & Institut d'Investigació Biomédica de Lleida (IRB Lleida), 25198 Lleida, Spain
| | - Albert Lecube
- Department of Endocrinology & Nutrition, Hospital Arnau de Vilanova & Institut d'Investigació Biomédica de Lleida (IRB Lleida), 25198 Lleida, Spain; Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28022 Madrid, Spain
| | - Marcelino Bermúdez-López
- Vascular and Renal Translational Research Group, Institute for Biomedical Research Dr. Pifarré Foundation, IRBLleida and RedinRen RETIC, ISCIII, 25198 Lleida, Spain
| | - Núria Alonso
- Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28022 Madrid, Spain; Department of Medicine, Autonomous University of Barcelona, Barcelona, Spain; Department of Endocrinology & Nutrition, Hospital Universitari Germans Trias i Pujol, 08916 Badalona, Spain
| | - Josep Julve
- Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28022 Madrid, Spain; Sant Pau Biomedical Research Institute (IIB Sant Pau), 08041 Barcelona, Spain.
| | - Didac Mauricio
- Unitat de Suport a la Recerca Barcelona, Institut Universitari d'Investigació en Atenció Primària Jordi Gol i Gurina (IDIAP Jordi Gol), 08007 Barcelona, Spain; Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28022 Madrid, Spain; Department of Endocrinology & Nutrition, Hospital de la Santa Creu i Sant Pau & Sant Pau Biomedical Research Institute (IIB Sant Pau), 08041 Barcelona, Spain; Faculty of Medicine, University of Vic (UVIC/UCC), 08500 Vic, Spain.
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13
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Zeb I, Jorgensen NW, Blumenthal RS, Burke GL, Lloyd-Jones D, Blaha MJ, Wong ND, Nasir K, Budoff MJ. Association of inflammatory markers and lipoprotein particle subclasses with progression of coronary artery calcium: The multi-ethnic study of atherosclerosis. Atherosclerosis 2021; 339:27-34. [PMID: 34826751 DOI: 10.1016/j.atherosclerosis.2021.11.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2020] [Revised: 08/15/2021] [Accepted: 11/03/2021] [Indexed: 10/19/2022]
Abstract
BACKGROUND AND AIMS Atherosclerosis is a complex phenomenon manifesting several features typical of chronic inflammation and disorders of lipid metabolism. We assessed association of nuclear magnetic resonance (NMR) lipid variables and inflammatory markers with incident coronary artery calcium (CAC) and CAC progression among participants with baseline CAC ≥0. METHODS MESA is a longitudinal cohort study of 6,814 participants (aged 45-85). 3,115 had CAC = 0 and 2,896 had CAC>0 at baseline. Repeat CAC measurements were obtained (mean duration of follow up, 6.5 years). RESULTS IL-6 (log pg/mL) and fibrinogen (50 mg/dL) were associated with a higher relative risk (RR) of incident CAC (HU) (RR = 1.09, p=0.010 & RR 1.05, p=0.004, respectively). Small LDL (100 nmol/L) (RR = 1.03, p<0.001) and log large VLDL (log nmol/L) (RR = 1.06, p=0.001) were associated with higher risks, whereas large HDL (μmol/L) was associated with an inverse risk of incident CAC (RR = 0.97, p< 0.001) in a model adjusted for follow up time, age, gender and race. Among participants with baseline CAC>0, progression of CAC was positively associated with hsCRP (log mg/L) (β = 1.99), IL-6 (log pg/mL) (β = 2.9), fibrinogen (50 mg/dL) (β = 1.0), large VLDL (log nmol/L) (β = 2.2), and small LDL (100 nmol/L) (β = 0.36) (all p values < 0.05) in a model adjusted for scanner type, age, gender and race. Relationships with inflammatory markers and NMR lipoprotein particles lost significance after adjustment for traditional risk factors and statin use. Traditional risk factors were strongly associated with both CAC incidence and progression with the exception of cholesterol parameters not associated with CAC progression in adjusted model. CONCLUSIONS Inflammatory markers and lipoprotein particles were associated with CAC incidence and progression in minimally adjusted models, but not after adjustment for traditional risk factors.
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Affiliation(s)
- Irfan Zeb
- West Virginia University Heart & Vascular Institute, Morgantown, WV, USA.
| | | | - Roger S Blumenthal
- John Hopkins Ciccarone Center for the Prevention of Heart Disease Baltimore, MD, USA
| | | | | | - Michael J Blaha
- John Hopkins Ciccarone Center for the Prevention of Heart Disease Baltimore, MD, USA
| | | | - Khurram Nasir
- John Hopkins Ciccarone Center for the Prevention of Heart Disease Baltimore, MD, USA; Baptist Health Medical Center, Miami, FL, USA; Houston Methodist Debakey Heart and Vascular Institute, TX, USA
| | - Matthew J Budoff
- Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
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14
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Li Y, Karppinen J, Cheah KSE, Chan D, Sham PC, Samartzis D. Integrative analysis of metabolomic, genomic, and imaging-based phenotypes identify very-low-density lipoprotein as a potential risk factor for lumbar Modic changes. EUROPEAN SPINE JOURNAL : OFFICIAL PUBLICATION OF THE EUROPEAN SPINE SOCIETY, THE EUROPEAN SPINAL DEFORMITY SOCIETY, AND THE EUROPEAN SECTION OF THE CERVICAL SPINE RESEARCH SOCIETY 2021; 31:735-745. [PMID: 34564762 DOI: 10.1007/s00586-021-06995-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 08/18/2021] [Accepted: 09/13/2021] [Indexed: 10/20/2022]
Abstract
PURPOSE Modic changes (MC) on magnetic resonance imaging (MRI) have been associated with the development and severity of low back pain (LBP). The etiology of MC remains elusive, but it has been suggested that altered metabolism may be a risk factor. As such, this study aimed to identify metabolomic biomarkers for MC phenotypes of the lumbar spine via a combined metabolomic-genomic approach. METHODS A population cohort of 3,584 southern Chinese underwent lumbar spine MRI. Blood samples were genotyped with single-nucleotide polymorphisms (SNP) arrays (n = 2,482) and serum metabolomics profiling using magnetic resonance spectroscopy (n = 757), covering 130 metabolites representing three molecular windows, were assessed. Genome-wide association studies (GWAS) were performed on each metabolite, to construct polygenic scores for predicting metabolite levels in subjects who had GWAS but not metabolomic data. Associations between predicted metabolite levels and MC phenotypes were assessed using linear/logistic regression and least absolute shrinkage and selection operator (LASSO). Two-sample Mendelian randomization analysis tested for causal relationships between metabolic biomarkers and MC. RESULTS 20.4% had MC (10.6% type 1, 67.2% type 2, 22.2% mixed types). Significant MC metabolomic biomarkers were mean diameter of very-low-density lipoprotein (VLDL)/low-density lipoprotein (LDL) particles and cholesterol esters/phospholipids in large LDL. Mendelian randomization indicated that decreased VLDL mean diameter may lead to MC. CONCLUSIONS This large-scale study is the first to address metabolomics in subject with/without lumbar MC. Causality studies implicate VLDL related to MC, noting a metabolic etiology. Our study substantiates the field of "spino-metabolomics" and illustrates the power of integrating metabolomics-genomics-imaging phenotypes to discover biomarkers for spinal disorders, paving the way for more personalized spine care for patients.
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Affiliation(s)
- Yiming Li
- Department of Psychiatry, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Jaro Karppinen
- Medical Research Center Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland
| | - Kathryn S E Cheah
- School of Biomedical Sciences, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Danny Chan
- School of Biomedical Sciences, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Pak C Sham
- Department of Psychiatry, The University of Hong Kong, Pokfulam, Hong Kong SAR, China. .,Centre for PanorOmic Sciences, State Key Laboratory of Brain and Cognitive Sciences, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China.
| | - Dino Samartzis
- Department of Orthopaedics and Traumatology, The University of Hong Kong, Pokfulam, Hong Kong SAR, China. .,International Spine Research and Innovation Initiative, Rush University Medical Center, Chicago, IL, USA. .,Department of Orthopaedic Surgery, Rush University Medical Center, 1611 W. Harrison Street, Chicago, IL, 60612, USA.
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15
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Henderson M, Friedrich M, Van Hulst A, Pelletier C, Barnett TA, Benedetti A, Bigras JL, Drapeau V, Lavoie JC, Levy E, Mathieu ME, Nuyt AM. CARDEA study protocol: investigating early markers of cardiovascular disease and their association with lifestyle habits, inflammation and oxidative stress in adolescence using a cross-sectional comparison of adolescents with type 1 diabetes and healthy controls. BMJ Open 2021; 11:e046585. [PMID: 34497076 PMCID: PMC8438758 DOI: 10.1136/bmjopen-2020-046585] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
INTRODUCTION Little is known regarding associations between potentially modifiable lifestyle habits and early markers of cardiovascular disease (CVD) in pediatric type 1 diabetes (T1D), hindering early prevention efforts. Specific objectives are: (1) compare established risk factors (dyslipidemia, hypertension) with novel early markers for CVD (cardiac phenotype, aortic distensibility, endothelial function) in adolescents with T1D and healthy age-matched and sex-matched controls; (2) examine associations between these novel early markers with: (i) lifestyle habits; (ii) adipokines and measures of inflammation; and (iii) markers of oxidative stress among adolescents with T1D and controls, and determine group differences in these associations; (3) explore, across both groups, associations between CVD markers and residential neighbourhood features. METHODS AND ANALYSES Using a cross-sectional design, we will compare 100 participants aged 14-18 years with T1D to 100 healthy controls. Measures include: anthropometrics; stage of sexual maturity (Tanner stages); physical activity (7-day accelerometry); sleep and sedentary behaviour (self-report and accelerometry); fitness (peak oxygen consumption); and dietary intake (three non-consecutive 24- hour dietary recalls). Repeated measures of blood pressure will be obtained. Lipid profiles will be determined after a 12- hour fast. Cardiac structure/function: non-contrast cardiac magnetic resonance imaging (CMR) images will evaluate volume, mass, systolic and diastolic function and myocardial fibrosis. Aortic distensibility will be determined by pulse wave velocity with elasticity and resistance studies at the central aorta. Endothelial function will be determined by flow-mediated dilation. Inflammatory markers include plasma leptin, adiponectin, tumour necrosis factor alpha (TNF-α), type I and type II TNF-α soluble receptors and interleukin-6 concentrations. Measures of endogenous antioxidants include manganese superoxide dismutase, glutathione peroxidase and glutathione in blood. Neighbourhood features include built and social environment indicators and air quality. ETHICS AND DISSEMINATION This study was approved by the Sainte-Justine Hospital Research Ethics Board. Written informed assent and consent will be obtained from participants and their parents. TRIAL REGISTRATION NUMBER NCT04304729.
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Affiliation(s)
- Mélanie Henderson
- Department of Pediatrics, Université de Montréal, Montréal, Québec, Canada
- Research Center, Sainte-Justine University Health Center, Montréal, Québec, Canada
- School of Public Health, Department of Social and Preventive Medicine, Université de Montréal, Montréal, Québec, Canada
| | - Matthias Friedrich
- Department of Cardiology, McGill University Health Centre, Montréal, Québec, Canada
| | - Andraea Van Hulst
- Ingram School of Nursing, McGill University, Montréal, Québec, Canada
| | - Catherine Pelletier
- Research Center, Sainte-Justine University Health Center, Montréal, Québec, Canada
| | - Tracie A Barnett
- Research Center, Sainte-Justine University Health Center, Montréal, Québec, Canada
- Department of Family Medicine, McGill University, Montréal, Québec, Canada
| | - Andrea Benedetti
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montréal, Québec, Canada
- Research Institute, McGill University Health Centre, Montréal, Québec, Canada
| | - Jean-Luc Bigras
- Department of Pediatrics, Université de Montréal, Montréal, Québec, Canada
- Research Center, Sainte-Justine University Health Center, Montréal, Québec, Canada
| | - Vicky Drapeau
- Department of Physical Education, Université Laval, Québec, Québec, Canada
| | - Jean-Claude Lavoie
- Department of Pediatrics, Université de Montréal, Montréal, Québec, Canada
- Research Center, Sainte-Justine University Health Center, Montréal, Québec, Canada
- Department of Nutrition, Université de Montréal, Montréal, Québec, Canada
| | - Emile Levy
- Department of Pediatrics, Université de Montréal, Montréal, Québec, Canada
- Research Center, Sainte-Justine University Health Center, Montréal, Québec, Canada
- Department of Nutrition, Université de Montréal, Montréal, Québec, Canada
| | - Marie-Eve Mathieu
- Research Center, Sainte-Justine University Health Center, Montréal, Québec, Canada
- School of Kinesiology and Physical Activity Sciences, Université de Montréal, Montréal, Québec, Canada
| | - Anne-Monique Nuyt
- Department of Pediatrics, Université de Montréal, Montréal, Québec, Canada
- Research Center, Sainte-Justine University Health Center, Montréal, Québec, Canada
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O’Brien ST, Neylon OM, O’Brien T. Dyslipidaemia in Type 1 Diabetes: Molecular Mechanisms and Therapeutic Opportunities. Biomedicines 2021; 9:biomedicines9070826. [PMID: 34356890 PMCID: PMC8301346 DOI: 10.3390/biomedicines9070826] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 07/09/2021] [Accepted: 07/13/2021] [Indexed: 12/12/2022] Open
Abstract
Cardiovascular disease (CVD) is the leading cause of death in Type 1 Diabetes (T1D). The molecular basis for atherosclerosis in T1D is heavily influenced by hyperglycaemia and its atherogenic effects on LDL. Ongoing research into the distinct pathophysiology of atherosclerosis in T1D offers exciting opportunities for novel approaches to calculate CVD risk in patients with T1D and to manage this risk appropriately. Currently, despite the increased risk of CVD in the T1D population, there are few tools available for estimating the risk of CVD in younger patients. This poses significant challenges for clinicians in selecting which patients might benefit from lipid-lowering therapies over the long term. The current best practice guidance for the management of dyslipidaemia in T1D is generally based on evidence from patients with T2D and the opinion of experts in the field. In this review article, we explore the unique pathophysiology of atherosclerosis in T1D, with a specific focus on hyperglycaemia-induced damage and atherogenic LDL modifications. We also discuss the current clinical situation of managing these patients across paediatric and adult populations, focusing on the difficulties posed by a lack of strong evidence and various barriers to treatment.
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Affiliation(s)
- Stephen T. O’Brien
- Department of Paediatrics, University Hospital Limerick, V94 F858 Limerick, Ireland; (S.T.O.); (O.M.N.)
| | - Orla M. Neylon
- Department of Paediatrics, University Hospital Limerick, V94 F858 Limerick, Ireland; (S.T.O.); (O.M.N.)
| | - Timothy O’Brien
- Department of Medicine, School of Medicine, National University of Ireland, H91 TK33 Galway, Ireland
- Correspondence:
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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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18
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Ahmed MO, Byrne RE, Pazderska A, Segurado R, Guo W, Gunness A, Frizelle I, Sherlock M, Ahmed KS, McGowan A, Moore K, Boran G, McGillicuddy FC, Gibney J. HDL particle size is increased and HDL-cholesterol efflux is enhanced in type 1 diabetes: a cross-sectional study. Diabetologia 2021; 64:656-667. [PMID: 33169205 DOI: 10.1007/s00125-020-05320-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Accepted: 09/09/2020] [Indexed: 01/02/2023]
Abstract
AIMS/HYPOTHESIS The prevalence of atherosclerosis is increased in type 1 diabetes despite normal-to-high HDL-cholesterol levels. The cholesterol efflux capacity (CEC) of HDL is a better predictor of cardiovascular events than static HDL-cholesterol. This cross-sectional study addressed the hypothesis that impaired HDL function contributes to enhanced CVD risk within type 1 diabetes. METHODS We compared HDL particle size and concentration (by NMR), total CEC, ATP-binding cassette subfamily A, member 1 (ABCA1)-dependent CEC and ABCA1-independent CEC (by determining [3H]cholesterol efflux from J774-macrophages to ApoB-depleted serum), and carotid intima-media thickness (CIMT) in 100 individuals with type 1 diabetes (37.6 ± 1.2 years; BMI 26.9 ± 0.5 kg/m2) and 100 non-diabetic participants (37.7 ± 1.1 years; 27.1 ± 0.5 kg/m2). RESULTS Compared with non-diabetic participants, total HDL particle concentration was lower (mean ± SD 31.01 ± 8.66 vs 34.33 ± 8.04 μmol/l [mean difference (MD) -3.32 μmol/l]) in participants with type 1 diabetes. However, large HDL particle concentration was greater (9.36 ± 3.98 vs 6.99 ± 4.05 μmol/l [MD +2.37 μmol/l]), resulting in increased mean HDL particle size (9.82 ± 0.57 vs 9.44 ± 0.56 nm [MD +0.38 nm]) (p < 0.05 for all). Total CEC (14.57 ± 2.47%CEC/4 h vs 12.26 ± 3.81%CEC/4 h [MD +2.31%CEC/4 h]) was greater in participants with type 1 diabetes relative to non-diabetic participants. Increased HDL particle size was independently associated with increased total CEC; however, following adjustment for this in multivariable analysis, CEC remained greater in participants with type 1 diabetes. Both components of CEC, ABCA1-dependent (6.10 ± 2.41%CEC/4 h vs 5.22 ± 2.57%CEC/4 h [MD +0.88%CEC/4 h]) and ABCA1-independent (8.47 ± 1.79% CEC/4 h vs 7.05 ± 1.76% CEC/4 h [MD +1.42% CEC/4 h]) CEC, were greater in type 1 diabetes but the increase in ABCA1-dependent CEC was less marked and not statistically significant in multivariable analysis. CIMT was increased in participants with type 1 diabetes but in multivariable analysis it was only associated negatively with age and BMI. CONCLUSIONS/INTERPRETATION HDL particle size but not HDL-cholesterol level is independently associated with enhanced total CEC. HDL particle size is greater in individuals with type 1 diabetes but even after adjusting for this, total and ABCA1-independent CEC are enhanced in type 1 diabetes. Further studies are needed to understand the mechanisms underlying these effects, and whether they help attenuate progression of atherosclerosis in this high-risk group. Graphical abstract.
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Affiliation(s)
- Mohamad O Ahmed
- Robert Graves Institute of Endocrinology, Tallaght University Hospital, Dublin, Ireland
| | - Rachel E Byrne
- Diabetes Complications Research Centre, School of Medicine, University College Dublin, Belfield, Dublin, Ireland
| | - Agnieszka Pazderska
- Robert Graves Institute of Endocrinology, Tallaght University Hospital, Dublin, Ireland
| | - Ricardo Segurado
- School of Public Health, Physiotherapy, and Sports Science, University College Dublin, Belfield, Dublin, Ireland
| | - Weili Guo
- Diabetes Complications Research Centre, School of Medicine, University College Dublin, Belfield, Dublin, Ireland
| | - Anjuli Gunness
- Robert Graves Institute of Endocrinology, Tallaght University Hospital, Dublin, Ireland
| | - Isolda Frizelle
- Robert Graves Institute of Endocrinology, Tallaght University Hospital, Dublin, Ireland
| | - Mark Sherlock
- Robert Graves Institute of Endocrinology, Tallaght University Hospital, Dublin, Ireland
| | - Khalid S Ahmed
- Robert Graves Institute of Endocrinology, Tallaght University Hospital, Dublin, Ireland
| | - Anne McGowan
- Robert Graves Institute of Endocrinology, Tallaght University Hospital, Dublin, Ireland
| | - Kevin Moore
- Robert Graves Institute of Endocrinology, Tallaght University Hospital, Dublin, Ireland
| | - Gerard Boran
- Department of Chemical Pathology, Tallaght University Hospital, Dublin, Ireland
| | - Fiona C McGillicuddy
- Diabetes Complications Research Centre, School of Medicine, University College Dublin, Belfield, Dublin, Ireland
| | - James Gibney
- Robert Graves Institute of Endocrinology, Tallaght University Hospital, Dublin, Ireland.
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19
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An in vitro study on factors affecting endotoxin neutralization in human plasma using the Limulus amebocyte lysate test. Sci Rep 2021; 11:4192. [PMID: 33603020 PMCID: PMC7893160 DOI: 10.1038/s41598-021-83487-4] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 01/21/2021] [Indexed: 01/14/2023] Open
Abstract
Endotoxin neutralization, caused by plasma components, makes it difficult to detect endotoxins in human blood. In this study, we investigated which factors influence the recovery of endotoxins using limulus ameobocyte lysate (LAL)-based assays. The individual factors that were examined in more detail were lipoprotein content, type of blood anticoagulation, kinetics and serum levels of divalent cations. Furthermore, it was investigated whether there is a direct correlation between LAL activity and monocyte activation. We could show that polyanionic heparin increases endotoxin recovery in blood, while citrate anticoagulation promotes endotoxin neutralization. Furthermore, we could show that the endotoxin activity in human plasma and serum decreases strongly over time. Time-dependent endotoxin neutralization reaches its maximum after 4–6 h incubation. By means of filtration tests we could determine that endotoxins in the plasma bind to lipoproteins but do not influence their activity. Comparative measurements have shown that high LAL activity of endotoxins in plasma simultaneously possesses high monocyte activating properties in whole blood. For the maximum recovery of endotoxins in human blood the physiological calcium and magnesium concentrations are sufficient. In this study, it was shown that the endotoxin neutralizing plasma components have a molecular weight similar to β2-microglobulin (11.7 kDa). For the exact identification of the endotoxin neutralizing plasma components, which caused a modulation of the immunostimulating endotoxin activity, further investigations have to be carried out in the future.
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20
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Marchand V, Galvanin A, Motorin Y. Isolation, Extraction and Deep-Sequencing Analysis of Extracellular RNAs (exRNAs) from Human Plasma. Methods Mol Biol 2021; 2300:165-182. [PMID: 33792880 DOI: 10.1007/978-1-0716-1386-3_15] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Extracellular RNAs (exRNAs) are secreted by nearly all cell types and are now known to play multiple physiological roles. Human plasma, a readily available sample for biomedical analysis, was reported to contain various subpopulations of exRNA, some of which are most likely components of plasma ribonucleoproteins (RNPs), while others are encapsulated into extracellular vesicles (EVs) of different size, origin, and composition. Unbiased analysis of exRNA composition can be performed with prefractionation of plasma exRNA followed by library preparation, sequencing, and bioinformatics analysis. In addition to "mature," adaptor ligation-competent RNA species (5'-P/3'-OH), human plasma contains a substantial proportion of degraded RNA fragments, featuring 5'-OH/3'-P or cyclophosphate extremities, which can be made competent for ligation using appropriate treatment. Polyethylene glycol (PEG)-based precipitation kits for EV isolation yield a fraction that is highly contaminated by large RNPs and EV-associated RNAs. Purer EV preparations are obtained by using Proteinase K and RNase A treatment, as well as by size-exclusion chromatography (SEC).
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Affiliation(s)
- Virginie Marchand
- Université de Lorraine, CNRS, INSERM, IBSLOR, F-54000 Nancy, France.
| | | | - Yuri Motorin
- Université de Lorraine, CNRS, INSERM, IBSLOR, F-54000 Nancy, France.,Université de Lorraine, CNRS, IMoPA, F-54000 Nancy, France
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21
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Gu C, Wang N, Ren P, Wu X, Pang B, Zhang S, Hou X, Xu D, Yuan Y, Liu G. Association between postprandial lipoprotein subclasses and Framingham cardiovascular disease risk stratification. Clin Biochem 2020; 89:51-57. [PMID: 33359967 DOI: 10.1016/j.clinbiochem.2020.12.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 12/18/2020] [Accepted: 12/20/2020] [Indexed: 11/15/2022]
Abstract
OBJECTIVE To determine the ability of postprandial lipoprotein subclass concentrations to stratify patients with respect to their risk for cardiovascular disease (CVD). METHODS Using the Framingham cardiovascular disease risk score (FRS) algorithm, a total of 112 consecutive patients referred for community health screening were stratified into two groups: (a) low-risk (FRS < 10%) and (b) intermediate/high-risk (FRS ≥ 10%). Serum lipoprotein subclass concentrations were determined by Vertical Auto Profile (VAP-II). RESULTS Fasting and postprandial levels of LDL4, HDL2, VLDL1 + 2, VLDL3, and RLP, as well as fasting levels of ApoB and postprandial levels of LDL3 and IDL1, were significantly different in the intermediate/high risk FRS group vs. the low-risk group (P < 0.05). Correlations between Framingham CVD risk and LDL3, LDL4, IDL1, VLDL1 + 2, VLDL3, RLP, and ApoB were positive while negative for HDL2 in both the fasting and postprandial states. Intermediate/high risk for CVD was shown to be significantly associated with both fasting and postprandial levels of VLDL1 + 2 and RLP, as well as with postprandial LDL4 and VLDL3, as determined using forward conditional logistic regression analysis. Postprandial levels of VLDL1 + 2 were better at identifying patients in the intermediate/high-risk FRS group than fasting levels, although the differences were not significant due to overlapping reference intervals. In addition, the association between RLP and VLDL subclasses relative to Framingham CVD risk increased significantly in the postprandial state (ΔR2 = 0.023; ΔF = 7.178; ΔP = 0.025) but not in the fasting state. CONCLUSIONS The use of postprandial lipoprotein subclass concentrations is not inferior to the use of fasting levels in identifying intermediate/high-risk FRS individuals. In addition, changes in RLP and VLDL subclass concentrations in fasting vs. postprandial states may reveal lipid metabolic mechanisms associated with CVD.
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Affiliation(s)
- Chun Gu
- Department of Laboratory, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, China
| | - Na Wang
- Department of Laboratory, Southern District of Guang'anmen Hospital, China Academy of Chinese Medical Sciences, China
| | - Peng Ren
- Department of Laboratory, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, China
| | - Xuemei Wu
- Department of Laboratory, Southern District of Guang'anmen Hospital, China Academy of Chinese Medical Sciences, China
| | - Bo Pang
- Department of Laboratory, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, China
| | - Shuying Zhang
- Department of Laboratory, Southern District of Guang'anmen Hospital, China Academy of Chinese Medical Sciences, China
| | - Xueyun Hou
- Department of Laboratory, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, China
| | - Dan Xu
- Department of Laboratory, Southern District of Guang'anmen Hospital, China Academy of Chinese Medical Sciences, China
| | - Yuliang Yuan
- Department of Laboratory, Southern District of Guang'anmen Hospital, China Academy of Chinese Medical Sciences, China.
| | - Guijian Liu
- Department of Laboratory, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, China.
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22
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Zarà M, Amadio P, Campodonico J, Sandrini L, Barbieri SS. Exosomes in Cardiovascular Diseases. Diagnostics (Basel) 2020; 10:E943. [PMID: 33198302 PMCID: PMC7696149 DOI: 10.3390/diagnostics10110943] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2020] [Revised: 11/08/2020] [Accepted: 11/10/2020] [Indexed: 02/07/2023] Open
Abstract
Exosomes are nano-sized biovesicles of endocytic origin physiologically released by nearly all cell types into surrounding body fluids. They carry cell-specific cargos of protein, lipids, and genetic materials and can be selectively taken up by neighboring or distant cells. Since the intrinsic properties of exosomes are strictly influenced by the state of the parental cell and by the cellular microenvironment, the analysis of exosome origin and content, and their cell-targeting specificity, make them attractive as possible diagnostic and prognostic biomarkers. While the possible role of exosomes as messengers and a regenerative tool in cardiovascular diseases (CVDs) is actively investigated, the evidence about their usefulness as biomarkers is still limited and incomplete. Further complications are due to the lack of consensus regarding the most appropriate approach for exosome isolation and characterization, both important issues for their effective clinical translation. As a consequence, in this review, we will discuss the few information currently accessible about the diagnostic/prognostic potential of exosomes in CVDs and on the methodologies available for exosome isolation, analysis, and characterization.
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Affiliation(s)
- Marta Zarà
- Unit of Brain-Heart axis: Cellular and Molecular Mechanisms, Centro Cardiologico Monzino IRCCS, via Parea 4, 20138 Milan, Italy; (P.A.); (L.S.)
| | - Patrizia Amadio
- Unit of Brain-Heart axis: Cellular and Molecular Mechanisms, Centro Cardiologico Monzino IRCCS, via Parea 4, 20138 Milan, Italy; (P.A.); (L.S.)
| | - Jeness Campodonico
- Intensive Cardiac Care Unit, Centro Cardiologico Monzino IRCCS, via Parea 4, 20138 Milan, Italy;
| | - Leonardo Sandrini
- Unit of Brain-Heart axis: Cellular and Molecular Mechanisms, Centro Cardiologico Monzino IRCCS, via Parea 4, 20138 Milan, Italy; (P.A.); (L.S.)
| | - Silvia S. Barbieri
- Unit of Brain-Heart axis: Cellular and Molecular Mechanisms, Centro Cardiologico Monzino IRCCS, via Parea 4, 20138 Milan, Italy; (P.A.); (L.S.)
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23
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Smy L, De Biase I, Genzen JR, Yuzyuk T. The nuclear magnetic resonance metabolic profile: Impact of fasting status. Clin Biochem 2020; 87:85-92. [PMID: 33159964 DOI: 10.1016/j.clinbiochem.2020.10.014] [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: 07/17/2020] [Revised: 10/20/2020] [Accepted: 10/27/2020] [Indexed: 10/23/2022]
Abstract
INTRODUCTION Measurement of lipoprotein subclass concentration (-c), particle number (-p), and size (-s) by nuclear magnetic resonance (NMR) has gained traction in the clinical laboratory due to associations between smaller lipid particle sizes and atherogenic risk, especially for LDL-p. The standard protocols for lipoprotein measurements by NMR require fasting blood samples; however, patients may not fast properly before sample collection. The study objective was to evaluate the impact of fasting status on the NMR-based lipid profile and to identify key parameters differentiating between fasting and post-meal specimens. METHODS Forty-eight self-reported healthy male and female participants were recruited. Blood was collected after a 12 h fast and 4 h after a high fat meal. Samples were analyzed using the AXINON LipoFIT by NMR assay. The measurements included triglyceride, total cholesterol, IDL-c, and LDL, HDL, VLDL concentration, particle number, and size, as well as glucose, and four amino acids (alanine, valine, leucine and isoleucine). RESULTS As expected, triglycerides increased after the meal (58%, p < 0.0001). Significant changes were also observed for VLDL, LDL, and HDL parameters, and the branched chain amino acids. The ratio of Valine*VLDL-c/LDL-c or Isoleucine*VLDL-c/LDL-c provided equally effective differentiation of fasting and post-meal samples. The ratio cutoffs (79.1 and 23.6 when calculated using valine and isoleucine, respectively) had sensitivities of 86% and specificities of 93-95%. CONCLUSIONS The clinical impact on NMR results from post-meal samples warrants further evaluation. Algorithms to differentiate fasting and post-meal specimens may be useful in identifying suboptimal specimens.
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Affiliation(s)
- Laura Smy
- Department of Pathology, University of Utah School of Medicine, Salt Lake City, UT, United States
| | - Irene De Biase
- Department of Pathology, University of Utah School of Medicine, Salt Lake City, UT, United States; ARUP Institute for Clinical and Experimental Pathology, Salt Lake City, UT, United States
| | - Jonathan R Genzen
- Department of Pathology, University of Utah School of Medicine, Salt Lake City, UT, United States; ARUP Institute for Clinical and Experimental Pathology, Salt Lake City, UT, United States
| | - Tatiana Yuzyuk
- Department of Pathology, University of Utah School of Medicine, Salt Lake City, UT, United States; ARUP Institute for Clinical and Experimental Pathology, Salt Lake City, UT, United States
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24
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Tung WC, Rizzo B, Dabbagh Y, Saraswat S, Romanczyk M, Codorniu-Hernández E, Rebollido-Rios R, Needs PW, Kroon PA, Rakotomanomana N, Dangles O, Weikel K, Vinson J. Polyphenols bind to low density lipoprotein at biologically relevant concentrations that are protective for heart disease. Arch Biochem Biophys 2020; 694:108589. [PMID: 33010229 DOI: 10.1016/j.abb.2020.108589] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 09/14/2020] [Accepted: 09/16/2020] [Indexed: 02/05/2023]
Abstract
There is ample evidence in the epidemiological literature that polyphenols, the major non-vitamin antioxidants in plant foods and beverages, have a beneficial effect on heart disease. Until recently other mechanisms which polyphenols exhibit such as cell signaling and regulating nitric oxide bioavailability have been investigated. The oxidation theory of atherosclerosis implicates LDL oxidation as the beginning step in this process. Nine polyphenols from eight different classes and several of their O-methylether, O-glucuronide and O-sulfate metabolites have been shown in this study to bind to the lipoproteins and protect them from oxidation at lysosomal/inflammatory pH (5.2), and physiological pH (7.4). Polyphenols bind to the apoprotein at pH 7.4 with Kb > 106 M-1 and the number of molecules of polyphenols bound per LDL particle under saturation conditions varied from 0.4 for ferulic acid to 13.1 for quercetin. Competition studies between serum albumin and LDL show that substantial lipoprotein binding occurs even in the presence of a great molar excess of albumin, the major blood protein. These in vitro results are borne out by published human supplementation studies showing that polyphenol metabolites from red wine, olive oil and coffee are found in LDL even after an overnight fast. A single human supplementation with various fruit juices, coffee and tea also produced an ex vivo protection against lipoprotein oxidation under postprandial conditions. This in vivo binding is heart-protective based on published olive oil consumption studies. Relevant to heart disease, we hypothesize that the binding of polyphenols and metabolites to LDL functions as a transport mechanism to carry these antioxidants to the arterial intima, and into endothelial cells and macrophages. Extracellular and intracellular polyphenols and their metabolites are heart-protective by many mechanisms and can also function as potent "intraparticle" and intracellular antioxidants due to their localized concentrations that can reach as high as the micromolar level. Low plasma concentrations make polyphenols and their metabolites poor plasma antioxidants but their concentration in particles such as lipoproteins and cells is high enough for polyphenols to provide cardiovascular protection by direct antioxidant effects and by other mechanisms such as cell signaling.
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Affiliation(s)
- Wei-Cheng Tung
- Department of Chemistry, Loyola Science Center, University of Scranton, Scranton, PA, 18510, USA
| | - Bryan Rizzo
- Department of Chemistry, Loyola Science Center, University of Scranton, Scranton, PA, 18510, USA
| | - Yusef Dabbagh
- Department of Chemistry, Loyola Science Center, University of Scranton, Scranton, PA, 18510, USA
| | - Suraj Saraswat
- Department of Chemistry, Loyola Science Center, University of Scranton, Scranton, PA, 18510, USA
| | - Mark Romanczyk
- Department of Chemistry, Loyola Science Center, University of Scranton, Scranton, PA, 18510, USA
| | - Edelsys Codorniu-Hernández
- Department of Chemistry, University of Calgary, 2500 University Drive, NW, Calgary, Alberta, T2N1N4, Canada
| | - Rocio Rebollido-Rios
- Research Group Bioinformatics, Faculty of Biology, Center for Medical Biotechnology, University of Duisburg-Essen, Universitätsstrase 1-5, 45141, Essen, Germany; Faculty of Medicine and University Hospital of Cologne, Department of Internal Medicine, University of Cologne, 50937, Cologne, Germany
| | - Paul W Needs
- Quadram Institute Bioscience, Norwich Research Park, Norwich, Norfolk, NR4 7UQ, UK
| | - Paul A Kroon
- Quadram Institute Bioscience, Norwich Research Park, Norwich, Norfolk, NR4 7UQ, UK
| | | | - Olivier Dangles
- Avignon University, INRAE, UMR408 SQPOV, 84000, Avignon, France
| | - Karen Weikel
- Department of Chemistry, Loyola Science Center, University of Scranton, Scranton, PA, 18510, USA
| | - Joe Vinson
- Department of Chemistry, Loyola Science Center, University of Scranton, Scranton, PA, 18510, USA.
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25
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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: 16] [Impact Index Per Article: 4.0] [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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26
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Harbi SM, Hussien RA, Hawasawi I, Alshdoukhi I, Chopra V, Alanazi AN, Butler W, Koroma R, Peters C, Garver DD, Vinson JA. Red Blood Cells and Lipoproteins: Important Reservoirs and Transporters of Polyphenols and Their Metabolites. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2020; 68:7005-7013. [PMID: 32495621 DOI: 10.1021/acs.jafc.0c02601] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Dietary polyphenols are protective for chronic diseases. Their blood transport has not been well investigated. This work examines multiple classes of polyphenols and their interactions with albumin, lipoproteins, and red blood cell (RBC) compartments using four models and determines the % polyphenol in each compartment studied. The RBC alone model showed a dose-response polyphenol association with RBCs. A blood model with flavanones determined the % polyphenol that was inside RBCs and bound to the surface using a new albumin washing procedure. It was shown that RBCs can methylate flavanones. The whole blood model separated the polyphenol into four compartments with the aid of affinity chromatography. More polyphenols were found with albumin and lipoproteins (high-density lipoproteins and low-density lipoproteins) than with RBCs. In the plasma model, the polyphenols associated almost equally between lipoproteins and albumin. RBCs and lipoproteins are shown to be important reservoirs and transporters of polyphenols in blood.
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Affiliation(s)
- Salwa M Harbi
- Department of Chemistry, Loyola Science Center, University of Scranton, 204 Monroe Avenue, Scranton, Pennsylvania 18510 United States
| | - Rania A Hussien
- Department of Chemistry, Loyola Science Center, University of Scranton, 204 Monroe Avenue, Scranton, Pennsylvania 18510 United States
| | - Intesar Hawasawi
- Department of Chemistry, Loyola Science Center, University of Scranton, 204 Monroe Avenue, Scranton, Pennsylvania 18510 United States
| | - Ibtehaj Alshdoukhi
- Department of Chemistry, Loyola Science Center, University of Scranton, 204 Monroe Avenue, Scranton, Pennsylvania 18510 United States
| | - Vikram Chopra
- Department of Chemistry, Loyola Science Center, University of Scranton, 204 Monroe Avenue, Scranton, Pennsylvania 18510 United States
| | - Amal N Alanazi
- Department of Chemistry, Loyola Science Center, University of Scranton, 204 Monroe Avenue, Scranton, Pennsylvania 18510 United States
| | - William Butler
- Department of Chemistry, Loyola Science Center, University of Scranton, 204 Monroe Avenue, Scranton, Pennsylvania 18510 United States
| | - Rakia Koroma
- Department of Chemistry, Loyola Science Center, University of Scranton, 204 Monroe Avenue, Scranton, Pennsylvania 18510 United States
| | - Colin Peters
- Department of Chemistry, Loyola Science Center, University of Scranton, 204 Monroe Avenue, Scranton, Pennsylvania 18510 United States
| | - Deanne D Garver
- Department of Science, Mathematics and Computer Science,Marywood University, Scranton, Pennsylvania 18509, United States
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27
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Laguerre M, Tenon M, Bily A, Birtić S. Toward a Spatiotemporal Model of Oxidation in Lipid Dispersions: A Hypothesis‐Driven Review. EUR J LIPID SCI TECH 2020. [DOI: 10.1002/ejlt.201900209] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Affiliation(s)
- Mickaël Laguerre
- Naturex SA, Science and Technology DepartmentGivaudan Flavour Division 250 rue Pierre Bayle, BP 81218 F‐84911 Avignon Cedex 9 France
| | - Mathieu Tenon
- Naturex SA, Science and Technology DepartmentGivaudan Flavour Division 250 rue Pierre Bayle, BP 81218 F‐84911 Avignon Cedex 9 France
| | - Antoine Bily
- Naturex SA, Science and Technology DepartmentGivaudan Flavour Division 250 rue Pierre Bayle, BP 81218 F‐84911 Avignon Cedex 9 France
| | - Simona Birtić
- Naturex SA, Science and Technology DepartmentGivaudan Flavour Division 250 rue Pierre Bayle, BP 81218 F‐84911 Avignon Cedex 9 France
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28
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Llauradó G, Amigó N, Cano A, Ballesta S, Albert L, Mazarico I, Fernández-Veledo S, Pedro-Botet J, Vendrell J, González-Clemente JM. Specific Nuclear Magnetic Resonance Lipoprotein Subclass Profiles and Central Arterial Stiffness in Type 1 Diabetes Mellitus: A Case Control Study. J Clin Med 2019; 8:E1875. [PMID: 31694246 PMCID: PMC6912486 DOI: 10.3390/jcm8111875] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Revised: 11/02/2019] [Accepted: 11/04/2019] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Dyslipidemia has been associated with vascular complications of type 1 diabetes mellitus (T1DM). We examined the proton nuclear magnetic resonance (NMR)-assessed lipoprotein subclass profiles in subjects with T1DM compared with those of healthy subjects and assessed the potential relationship of these profiles with arterial stiffness. METHODS Eighty-four participants with T1DM of at least 10 years duration and no clinical cardiovascular disease (age: 35-65 years; 50% men) and 42 healthy participants were evaluated for: (1) clinical and anthropometric data (including classical cardiovascular risk factors), (2) insulin sensitivity by estimated glucose disposal rate, (3) microvascular complications, (4) NMR-assessed lipoprotein subclass profile, and (5) arterial stiffness (aortic pulse wave velocity). RESULTS Participants with T1DM had an apparently better conventional lipid profile than healthy participants, but with significant differences in NMR-assessed lipoprotein profiles such as higher triglyceride content of low-density lipoprotein (LDL) and high-density lipoprotein (HDL). In healthy participants, arterial stiffness was associated with NMR-based LDL subclasses. By contrast, in T1DM participants, arterial stiffness was independently associated mainly with NMR-based very-low-density lipoprotein (VLDL) subclasses: positively with total VLDL particles (and subclasses) and VLDL triglyceride content, and negatively with LDL and HDL particle sizes. These results were maintained after adjustments for classical cardiovascular risk factors. CONCLUSIONS Subjects with T1DM, while having an apparently better conventional lipid profile than healthy controls, presented significant alterations in their NMR-assessed lipoprotein profile. The association between arterial stiffness and NMR-assessed lipoprotein profiles also differed in both groups. These results support a potential role of the identified differences in the residual cardiovascular risk in T1DM.
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Affiliation(s)
- Gemma Llauradó
- Department of Endocrinology and Nutrition, Hospital del Mar, Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Universitat Autònoma de Barcelona, Pg. Marítim 25-29, 08003 Barcelona, Spain; (S.B.); (J.P.-B.)
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas; (CIBERDEM), Instituto de Salud Carlos III, 8029 Madrid, Spain; (S.F.-V.); (J.V.)
| | - Núria Amigó
- Metabolomics Platform IISPV, CIBERDEM. Universitat Rovira i Virgili, Bisofer Teslab Plaça del Prim 10, 43201 Reus, Spain;
| | - Albert Cano
- Department of Endocrinology and Nutrition. Hospital de Sabadell. Corporació Sanitària Parc Taulí. Institut d’Investigació i Innovació Parc Taulí (I3PT) (Universitat Autònoma de Barcelona), Parc Taulí s/n, 08208 Sabadell, Spain; (A.C.); (L.A.); (I.M.)
| | - Silvia Ballesta
- Department of Endocrinology and Nutrition, Hospital del Mar, Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Universitat Autònoma de Barcelona, Pg. Marítim 25-29, 08003 Barcelona, Spain; (S.B.); (J.P.-B.)
| | - Lara Albert
- Department of Endocrinology and Nutrition. Hospital de Sabadell. Corporació Sanitària Parc Taulí. Institut d’Investigació i Innovació Parc Taulí (I3PT) (Universitat Autònoma de Barcelona), Parc Taulí s/n, 08208 Sabadell, Spain; (A.C.); (L.A.); (I.M.)
| | - Isabel Mazarico
- Department of Endocrinology and Nutrition. Hospital de Sabadell. Corporació Sanitària Parc Taulí. Institut d’Investigació i Innovació Parc Taulí (I3PT) (Universitat Autònoma de Barcelona), Parc Taulí s/n, 08208 Sabadell, Spain; (A.C.); (L.A.); (I.M.)
| | - Sonia Fernández-Veledo
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas; (CIBERDEM), Instituto de Salud Carlos III, 8029 Madrid, Spain; (S.F.-V.); (J.V.)
- Hospital Universitari Joan XXIII de Tarragona. Institut d’Investigacions Sanitàries Pere Virgili (IISPV). Universitat Rovira i Virgili, C. Dr. Mallafré Guasch 4, 43005 Tarragona, Spain
| | - Juan Pedro-Botet
- Department of Endocrinology and Nutrition, Hospital del Mar, Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Universitat Autònoma de Barcelona, Pg. Marítim 25-29, 08003 Barcelona, Spain; (S.B.); (J.P.-B.)
| | - Joan Vendrell
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas; (CIBERDEM), Instituto de Salud Carlos III, 8029 Madrid, Spain; (S.F.-V.); (J.V.)
- Hospital Universitari Joan XXIII de Tarragona. Institut d’Investigacions Sanitàries Pere Virgili (IISPV). Universitat Rovira i Virgili, C. Dr. Mallafré Guasch 4, 43005 Tarragona, Spain
| | - José-Miguel González-Clemente
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas; (CIBERDEM), Instituto de Salud Carlos III, 8029 Madrid, Spain; (S.F.-V.); (J.V.)
- Department of Endocrinology and Nutrition. Hospital de Sabadell. Corporació Sanitària Parc Taulí. Institut d’Investigació i Innovació Parc Taulí (I3PT) (Universitat Autònoma de Barcelona), Parc Taulí s/n, 08208 Sabadell, Spain; (A.C.); (L.A.); (I.M.)
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Sex differences in postprandial responses to different dairy products on lipoprotein subclasses: a randomised controlled cross-over trial. Br J Nutr 2019; 122:780-789. [PMID: 31208475 DOI: 10.1017/s0007114519001429] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Men have earlier first-time event of CHD and higher postprandial TAG response compared with women. The aim of this exploratory sub-study was to investigate if intake of meals with the same amount of fat from different dairy products affects postprandial lipoprotein subclasses differently in healthy women and men. A total of thirty-three women and fourteen men were recruited to a randomised controlled cross-over study with four dairy meals consisting of butter, cheese, whipped cream or sour cream, corresponding to 45 g of fat (approximately 60 energy percent). Blood samples were taken at 0, 2, 4 and 6 h postprandially. Lipoprotein subclasses were measured using NMR and analysed using a linear mixed model. Sex had a significant impact on the response in M-VLDL (P=0·04), S-LDL (P=0·05), XL-HDL (P=0·009) and L-HDL (P=0·001) particle concentration (P), with women having an overall smaller increase in M-VLDL-P, a larger decrease in S-LDL-P and a larger increase in XL- and L-HDL-P compared with men, independent of meal. Men showed a decrease in XS-VLDL-P compared with women after intake of sour cream (P<0·01). In men only, XS-VLDL-P decreased after intake of sour cream compared with all other meals (v. butter: P=0·001; v. cheese: P=0·04; v. whipped cream: P=0·006). Meals with the same amount of fat from different dairy products induce different postprandial effects on lipoprotein subclass concentrations in men and women.
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Abstract
Vascular calcification (VC) is strongly associated with all-cause mortality and is an independent predictor of cardiovascular events. Resulting from its complex, multifaceted nature, targeted treatments for VC have not yet been developed. Lipoproteins are well characterized in the pathogenesis of atherosclerotic plaques, leading to the development of plaque regressing therapeutics. Although their roles in plaque progression are well documented, their roles in VC, and calcification of a plaque, are not well understood. In this review, early in vitro data and clinical correlations suggest an inhibitory role for HDL (high-density lipoproteins) in VC, a stimulatory role for LDL (low-density lipoprotein) and VLDL (very low-density lipoprotein) and a potentially causal role for Lp(a) (lipoprotein [a]). Additionally, after treatment with a statin or PCSK9 (proprotein convertase subtilisin/kexin type 9) inhibitor, plaque calcification is observed to increase. With the notion that differing morphologies of plaque calcification associate with either a more stable or unstable plaque phenotype, uncovering the mechanisms of lipoprotein-artery wall interactions could produce targeted therapeutic options for VC.
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Affiliation(s)
- Emma J. Akers
- From the South Australian Health and Medical Research Institute, Adelaide, Australia (E.J.A.)
- The University of Adelaide, Australia (E.J.A.)
| | - Stephen J. Nicholls
- Monash Cardiovascular Research Centre, Monash University, Melbourne, Australia (S.J.N.)
| | - Belinda A. Di Bartolo
- The Kolling Institute of Medical Research, The University of Sydney, Australia (B.A.D.B.)
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31
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Poloni DM, Dangles O, Vinson JA. Binding of Plant Polyphenols to Serum Albumin and LDL: Healthy Implications for Heart Disease. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2019; 67:9139-9147. [PMID: 30784273 DOI: 10.1021/acs.jafc.8b06674] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
Cardiovascular disease (CVD) is the leading cause of death in industrialized nations. The initiating event in atherosclerosis, or hardening of the arteries, is oxidation of low density lipoprotein (LDL). Binding with serum albumin and LDL of 41 polyphenols (major antioxidants in plant foods) constituting four classes of flavonoids, three types of phenolic acids, and seven polyphenol conjugate metabolites was investigated indirectly by fluorescence quenching and directly by affinity separation/high-performance liquid chromatography (four of the polyphenols). Stern-Volmer plots yielded K values for the two proteins. Polyphenol binding was significantly stronger for albumin than with LDL. K values were highly correlated with the lipophilicity of the polyphenols. The number of polyphenol molecules determined by quenching was ∼1 for both proteins. Direct analysis under saturation conditions yielded from 2 to 13 molecules of polyphenols/LDL particle. Multiple substituent effects on binding were analyzed. Evidence was put forward that binding of polyphenols to these proteins is protective for CVD by multiple mechanisms.
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Affiliation(s)
- Dana M Poloni
- Department of Chemistry, Loyola Science Center , University of Scranton , 925 Ridge Row , Scranton , Pennsylvania 18510 , United States
| | - Olivier Dangles
- Avignon University, INRA, UMR408 SQPOV , 84000 Avignon , France
| | - Joe A Vinson
- Department of Chemistry, Loyola Science Center , University of Scranton , 925 Ridge Row , Scranton , Pennsylvania 18510 , United States
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32
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Diversity and heterogeneity of extracellular RNA in human plasma. Biochimie 2019; 164:22-36. [PMID: 31108123 DOI: 10.1016/j.biochi.2019.05.011] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Accepted: 05/14/2019] [Indexed: 12/15/2022]
Abstract
Extracellular RNAs (exRNAs) are secreted by nearly all cell types and are now known to play multiple physiological roles. In humans, exRNA populations are found in nearly any physiological liquid and are attracting growing interest as a potential source for biomarker discovery. Human plasma, a readily available sample for biomedical analysis, reported to contain various subpopulations of exRNA, some of which are most likely components of plasma ribonucleoproteins (RNPs), while others are encapsulated into extracellular vesicles (EVs) of different size, origin and composition. This variation explains the extreme complexity of the human exRNA fraction in plasma. In this work, we aimed to characterize exRNA species from blood samples of healthy human donors to achieve the most comprehensive overview of the species, sizes and origins of the exRNA present in plasma fractions. Unbiased analysis of exRNA composition was performed with prefractionation of plasma exRNA followed by library preparation, sequencing and bioinformatics analysis. Our results demonstrate that, in addition to "mature", adaptor ligation-competent RNA species (5'-P/3'-OH), human plasma contains a substantial proportion of degraded RNA fragments (5'-OH/3'-P or cycloP), which can be made competent for ligation using appropriate treatments. These degraded RNAs represent the major fraction in the overall population and mostly correspond to rRNA, in contrast to mature products, which mostly contain miRNAs and hY4 RNA fragments. Precipitation polyethylene glycol (PEG)-based kits for EV isolation yield a fraction that is highly contaminated by large RNPs and by RNA loosely bound to EVs. Purer EV preparations are obtained by using proteinase K and RNase A treatment, as well as by size-exclusion chromatography (SEC). These samples have rather distinct RNA compositions compared to PEG-precipitated EV preparations and contain a substantial proportion of exRNA of non-human origin, arising from human skin and gut microbiota, including viral microbiota. These exogenous exRNAs represent up to 75-80% of total RNA reads in highly purified extracellular vesicles, paving the way for biomedical exploitation of these non-human biomarkers.
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Jenkins A, Januszewski A, O’Neal D. The early detection of atherosclerosis in type 1 diabetes: why, how and what to do about it. Cardiovasc Endocrinol Metab 2019; 8:14-27. [PMID: 31646294 PMCID: PMC6739889 DOI: 10.1097/xce.0000000000000169] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Accepted: 02/22/2019] [Indexed: 12/11/2022]
Abstract
The major cause of morbidity and often premature mortality in people with type I diabetes (T1D) is cardiovascular disease owing to accelerated atherosclerosis. We review publications relating to the rationale behind, and clinical tests for, detecting and treating early atherosclerosis in people with T1D. Currently available tools for atherosclerosis assessment include risk equations using vascular risk factors, arterial intima-media thickness, the ankle-brachial index, coronary artery calcification and angiography, and for more advanced lesions, intravascular ultrasound and optical coherence tomography. Evolving research tools include risk equations incorporating novel clinical, biochemical and molecular tests; vascular MRI and molecular imaging. As yet there is little information available to quantify early atherosclerosis. With better means to control the vascular risk factors, such as hypertension, dyslipidaemia and glycaemic control, and emerging therapies to control novel risk factors, further epidemiologic and clinical trials are merited to facilitate the translation into clinical practice of robust means to detect, monitor and treat early atherosclerosis in those with T1D.
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Affiliation(s)
- Alicia Jenkins
- NHMRC Clinical Trials Centre, The University of Sydney, Sydney, New South Wales
- Department of Endocrinology, St. Vincent’s Hospital, Fitzroy, Victoria, Australia
| | - Andrzej Januszewski
- NHMRC Clinical Trials Centre, The University of Sydney, Sydney, New South Wales
- Department of Endocrinology, St. Vincent’s Hospital, Fitzroy, Victoria, Australia
| | - David O’Neal
- NHMRC Clinical Trials Centre, The University of Sydney, Sydney, New South Wales
- Department of Endocrinology, St. Vincent’s Hospital, Fitzroy, Victoria, Australia
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Aneni EC, Osondu CU, De La Cruz J, Martin SS, Blaha MJ, Younus A, Feldman T, Agatston AS, Veledar E, Nasir K. Lipoprotein Sub-Fractions by Ion-Mobility Analysis and Its Association with Subclinical Coronary Atherosclerosis in High-Risk Individuals. J Atheroscler Thromb 2019; 26:50-63. [PMID: 30224606 PMCID: PMC6308270 DOI: 10.5551/jat.40741] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2017] [Accepted: 04/15/2018] [Indexed: 11/23/2022] Open
Abstract
AIMS There is limited knowledge about the association of lipoprotein particles and markers of coronary atherosclerosis such as coronary artery calcification (CAC) in relatively young high-risk persons. This study examines the association of lipoprotein subfractions and CAC in high cardiometabolic risk individuals. METHODS The study presents analysis from baseline data of a randomized trial targeted at high-risk workers. Employees of Baptist Health South Florida with metabolic syndrome or diabetes were recruited. At baseline, all 182 participants had lipoprotein subfraction analysis using the ion mobility technique and participants above 35 years (N=170) had CAC test done. Principal components (PC) were computed for the combination of lipoprotein subclasses. Multiple bootstrapped regression analyses (BSA) were conducted to assess the relationship between lipoprotein subfractions and CAC. RESULTS The study population (N=170) was largely female (84%) with a mean age of 58 years. Three PCs accounted for 88% variation in the sample. PC2, with main contributions from VLDL particles in the positive direction and large LDL particles in the negative direction was associated with a 22% increase in CAC odds (P value <0.05 in 100% of BSA). PC3, with main contributions from HDL lipoprotein particles in the positive direction and small/medium LDL and large IDL particles in the negative direction, was associated with a 9% reduction in CAC odds (P<0.05 in 88% of BSA). PC1, which had approximately even contributions from HDL, LDL, IDL and VLDL lipoprotein subfractions in the positive direction, was not associated with CAC. CONCLUSION In a relatively young but high-risk population, a lipoprotein profile predominated by triglyceride-rich lipoproteins was associated with increased risk of CAC, while one predominated by HDL lipoproteins offered modest protection. Lipoprotein sub-fraction analysis may help to further discriminate patients who require more intensive cardiovascular work-up and treatment.
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Affiliation(s)
- Ehimen C Aneni
- Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | | | - Javier De La Cruz
- Veterans Affairs Medical Center, West Palm Beach Gardens, Florida, USA
| | - Seth S Martin
- Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA
| | - Michael J Blaha
- Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA
| | - Adnan Younus
- Department of Internal Medicine, Mount Sinai Medical Center, Miami Beach, Florida, USA
| | - Theodore Feldman
- Baptist Health South Florida, Miami, Florida, USA
- Department of Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, Florida, USA
| | - Arthur S Agatston
- Department of Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, Florida, USA
| | - Emir Veledar
- Baptist Health South Florida, Miami, Florida, USA
- Department of Biostatistics, Robert Stempel College of Public Health & Social Work, Florida International University, Miami, Florida, USA
| | - Khurram Nasir
- Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, Connecticut, USA
- Center for Outcomes Research and Evaluation, Yale University & Yale New Haven Health System, New Haven, Connecticut, USA
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35
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Gourgari E, Playford MP, Campia U, Dey AK, Cogen F, Gubb-Weiser S, Mete M, Desale S, Sampson M, Taylor A, Rother KI, Remaley AT, Mehta NN. Low cholesterol efflux capacity and abnormal lipoprotein particles in youth with type 1 diabetes: a case control study. Cardiovasc Diabetol 2018; 17:158. [PMID: 30567548 PMCID: PMC6299549 DOI: 10.1186/s12933-018-0802-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Accepted: 12/11/2018] [Indexed: 01/02/2023] Open
Abstract
Background Patients with type 1 diabetes (T1DM) have increased mortality from cardiovascular disease (CVD). Risk factors for CVD include an elevation of LDL (LDLp) and small HDL (sHDLp) particles, and a decrease in reverse cholesterol transport i.e. HDL-cholesterol efflux capacity (CEC). Our objective was to compare lipoprotein particles and CEC between T1DM and healthy controls (HC) and to explore the associations between NMR lipid particles and cholesterol efflux. Methods 78 patients with T1DM and 59 HC underwent fasting lipoprotein profile testing by NMR and measurements of CEC by cell-based method. The associations between NMR lipid particles with CEC were analyzed using multivariable linear regression models. Results Youth with T1DM had higher total LDLp 724 [(563–985) vs 622 (476–794) nmol/L (P = 0.011)] (Maahs et al. in Circulation 130(17):1532–58, 2014; Shah et al. in Pediatr Diabetes 16(5):367–74, 2015), sHDLp [11.20 (5.7–15.3) vs 7.0 (3.2–13.1) μmol/L (P = 0.021)], and lower medium HDLp [11.20 (8.5–14.5) vs 12.3 (9–19.4), (P = 0.049)] and lower CEC (0.98 ± 0.11% vs 1.05 ± 0.15%, P = 0.003) compared to HC. Moreover, CEC correlated with sHDLp (β = − 0.28, P = 0.045) and large HDLp (β = 0.46, P < 0.001) independent of age, sex, ethnicity, BMIz, HbA1c, hsCRP and total HDLp in the diabetic cohort. Conclusions Youth with T1DM demonstrated a more atherogenic profile including higher sHDL and LDLp and lower CEC. Future efforts should focus on considering adding lipoprotein particles and CEC in CVD risk stratification of youth with T1DM. Trial registration Clinical Trials Registration Number NCT02275091
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Affiliation(s)
- Evgenia Gourgari
- Division of Pediatric Endocrinology, Department of Pediatrics, Georgetown University, 4200 Wisconsin Avenue, N.W, 4th Floor, Washington, DC, 20016, USA.
| | - Martin P Playford
- Section of Inflammation and Cardiometabolic Diseases, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Umberto Campia
- Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Amit K Dey
- Section of Inflammation and Cardiometabolic Diseases, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Fran Cogen
- Division of Pediatric Endocrinology, Department of Pediatrics, Children's National Health Systems, George Washington University, Washington, DC, USA
| | | | - Mihriye Mete
- Department of Biostatistics and Biomedical Informatics, MedStar Health Research Institute, Hyattsville, MD, USA
| | - Sameer Desale
- Department of Biostatistics and Biomedical Informatics, MedStar Health Research Institute, Hyattsville, MD, USA
| | - Maureen Sampson
- Section of Lipoprotein Metabolism, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Allen Taylor
- Division of Cardiology, Georgetown University School of Medicine, Washington, DC, USA
| | - Kristina I Rother
- Section on Pediatric Diabetes and Metabolism, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Alan T Remaley
- Section of Lipoprotein Metabolism, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Nehal N Mehta
- Section of Inflammation and Cardiometabolic Diseases, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
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Impact of preanalytical conditions on plasma concentration and size distribution of extracellular vesicles using Nanoparticle Tracking Analysis. Sci Rep 2018; 8:17216. [PMID: 30464183 PMCID: PMC6249294 DOI: 10.1038/s41598-018-35401-8] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2018] [Accepted: 10/26/2018] [Indexed: 12/12/2022] Open
Abstract
Optimal pre-analytical handling is essential for valid measurements of plasma concentration and size distribution of extracellular vesicles (EVs). We investigated the impact of plasma preparation, various anticoagulants (Citrate, EDTA, CTAD, Heparin), and fasting status on concentration and size distribution of EVs measured by Nanoparticle Tracking Analysis (NTA). Blood was drawn from 10 healthy volunteers to investigate the impact of plasma preparation and anticoagulants, and from 40 individuals from a population-based study to investigate the impact of postprandial lipidemia. Plasma concentration of EVs was measured by NTA after isolation by high-speed centrifugation, and size distribution of EVs was determined using NTA and scanning electron microscopy (SEM). Plasma concentrations and size distributions of EVs were essentially similar for the various anticoagulants. Transmission electron microscopy (TEM) confirmed the presence of EVs. TEM and SEM-analyses showed that the EVs retained spherical morphology after high-speed centrifugation. Plasma EVs were not changed in postprandial lipidemia, but the mean sizes of VLDL particles were increased and interfered with EV measurements (explained 66% of the variation in EVs-concentration in the postprandial phase). Optimization of procedures for separating VLDL particles and EVs is therefore needed before NTA-assessment of EVs can be used as biomarkers of disease.
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Gan C, Wang K, Tang Q, Chen Y. Comparative investigation on the sizes and scavenger receptor binding of human native and modified lipoprotein particles with atomic force microscopy. J Nanobiotechnology 2018; 16:25. [PMID: 29592798 PMCID: PMC5872389 DOI: 10.1186/s12951-018-0352-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2017] [Accepted: 03/13/2018] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND The size and receptor-binding abilities of plasma lipoproteins are closely related with their structure/functions. Presently, the sizes of native lipoproteins have been measured by various methods including atomic force microscopy (AFM) whereas the sizes of modified lipoproteins are poorly determined and the receptor-binding ability of lipoproteins is less detected and compared at the nanoscale. METHODS Here, AFM was utilized to detect/compare the size and scavenger receptor-binding properties of three native human lipoproteins including high-density lipoprotein, low-density lipoprotein (LDL), and very low-density lipoprotein, and two modified human lipoproteins including oxidized and acetylated LDL, as well as bovine serum albumin and their antibodies as negative and positive controls, respectively. RESULTS AFM detected that the sizes of these lipoproteins are close to the commonly known values and the previously-reported AFM-detected sizes and that native and modified LDL have different height/size. AFM also revealed that the CD36-binding abilities of the five lipoproteins are different from one another and from their SR-B1-binding abilities and that the anti-CD36/SR-B1 antibodies as positive controls have strong CD36/SR-B1-binding abilities. CONCLUSIONS The data provide important information on lipoproteins for better understanding their structures/functions. Moreover, the data certify that besides size measurement AFM also can visualize receptor-lipoprotein binding at the nanoscale, as well as antigen-antibody (scavenger receptors and their antibodies) binding.
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Affiliation(s)
- Chaoye Gan
- Nanoscale Science and Technology Laboratory, Institute for Advanced Study, Nanchang University, 999 Xuefu Ave., Honggutan District, Nanchang, 330031, Jiangxi, China.,College of Life Sciences, Nanchang University, Nanchang, 330031, Jiangxi, China
| | - Kun Wang
- Nanoscale Science and Technology Laboratory, Institute for Advanced Study, Nanchang University, 999 Xuefu Ave., Honggutan District, Nanchang, 330031, Jiangxi, China.,College of Life Sciences, Nanchang University, Nanchang, 330031, Jiangxi, China
| | - Qisheng Tang
- Nanoscale Science and Technology Laboratory, Institute for Advanced Study, Nanchang University, 999 Xuefu Ave., Honggutan District, Nanchang, 330031, Jiangxi, China.,College of Life Sciences, Nanchang University, Nanchang, 330031, Jiangxi, China
| | - Yong Chen
- Nanoscale Science and Technology Laboratory, Institute for Advanced Study, Nanchang University, 999 Xuefu Ave., Honggutan District, Nanchang, 330031, Jiangxi, China. .,College of Life Sciences, Nanchang University, Nanchang, 330031, Jiangxi, China.
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38
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Stranska R, Gysbrechts L, Wouters J, Vermeersch P, Bloch K, Dierickx D, Andrei G, Snoeck R. Comparison of membrane affinity-based method with size-exclusion chromatography for isolation of exosome-like vesicles from human plasma. J Transl Med 2018; 16:1. [PMID: 29316942 PMCID: PMC5761138 DOI: 10.1186/s12967-017-1374-6] [Citation(s) in RCA: 276] [Impact Index Per Article: 46.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2017] [Accepted: 12/21/2017] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Plasma extracellular vesicles (EVs), especially exosome-like vesicles (ELVs), are being increasingly explored as a source of potential noninvasive disease biomarkers. The discovery of blood-based biomarkers associated with ELVs requires methods that isolate high yields of these EVs without significant contamination with highly abundant plasma proteins and lipoproteins. The rising interest in blood-based EV-associated biomarkers has led to the rapid development of novel EV isolation methods. However, the field suffers from a lack of standardization and often, new techniques are used without critical evaluation. Size exclusion chromatography (SEC) has become the method of choice for rapid isolation of relatively pure EVs from plasma, yet it has technical limitations for certain downstream applications. The recently released exoEasy kit (Qiagen) is a new membrane affinity spin column method for the isolation of highly pure EVs from biofluids with the potential to overcome most of the limitations of SEC. METHODS By using multiple complementary techniques we assessed the performance of the exoEasy kit in isolating ELVs from 2 ml of human plasma and compared it with the SEC qEV column (Izon Science). RESULTS Our data show that exoEasy kit isolates a heterogenous mixture of particles with a larger median diameter, broader size range and a higher yield than the SEC qEV column. The exclusive presence of small RNAs in the particles and the total RNA yield were comparable to the SEC qEV column. Despite being less prone to low density lipoprotein contamination than the SEC qEV column, the overall purity of exoEasy kit EV preparations was suboptimal. The low particle-protein ratio, significant amount of albumin, very low levels of exosome-associated proteins and propensity to triglyceride-rich lipoprotein contamination suggest isolation of mainly non-ELVs and co-isolation of plasma proteins and certain lipoproteins by the exoEasy kit. CONCLUSIONS We demonstrate that performance of exoEasy kit for the isolation of ELVs for biomarker discovery is inferior to the SEC qEV column. This comprehensive evaluation of a novel EV isolation method contributes to the acceleration of the discovery of EV-associated biomarkers and the development of EV-based diagnostics.
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Affiliation(s)
- Ruzena Stranska
- Laboratory of Virology and Chemotherapy, Rega Institute for Medical Research, KU Leuven – University of Leuven, 3000 Leuven, Belgium
| | - Laurens Gysbrechts
- Laboratory of Virology and Chemotherapy, Rega Institute for Medical Research, KU Leuven – University of Leuven, 3000 Leuven, Belgium
| | - Jens Wouters
- Department of Oncology, Laboratory of Lipid Metabolism and Cancer, KU Leuven – University of Leuven, 3000 Leuven, Belgium
| | - Pieter Vermeersch
- Clinical Department of Laboratory Medicine, University Hospitals Leuven, 3000 Leuven, Belgium
- Department of Cardiovascular Sciences, KU Leuven – University of Leuven, 3000 Leuven, Belgium
| | - Katarzyna Bloch
- Department of Oncology, Laboratory of Lipid Metabolism and Cancer, KU Leuven – University of Leuven, 3000 Leuven, Belgium
| | - Daan Dierickx
- Department of Hematology, University Hospitals Leuven, 3000 Leuven, Belgium
- Department of Oncology, Laboratory of Experimental Hematology, KU Leuven – University of Leuven, 3000 Leuven, Belgium
| | - Graciela Andrei
- Laboratory of Virology and Chemotherapy, Rega Institute for Medical Research, KU Leuven – University of Leuven, 3000 Leuven, Belgium
| | - Robert Snoeck
- Laboratory of Virology and Chemotherapy, Rega Institute for Medical Research, KU Leuven – University of Leuven, 3000 Leuven, Belgium
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Madrigal JM, Monson RS, Hatipoglu B, Oberholzer J, Kondos GT, Varady KA, Danielson KK. Coronary artery calcium may stabilize following islet cell transplantation in patients with type 1 diabetes. Clin Transplant 2017; 31. [PMID: 28748581 DOI: 10.1111/ctr.13059] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/20/2017] [Indexed: 12/22/2022]
Abstract
Islet cell transplantation can functionally cure type 1 diabetes and also improve carotid intima-media thickness. This study provides a preliminary description of changes in coronary artery calcium following islet transplantation, and associated factors. Coronary artery calcium was measured in 14 patients with type 1 diabetes (11 had measures both pre- and post-transplant [mean 2.3 years]) in the University of Illinois at Chicago's clinical trial. Multivariable mixed-effects linear regression of repeated measures was used to quantify calcium change and determine if this change was longitudinally associated with risk/protective factors. Thirteen of the patients were female, with mean baseline age, diabetes duration, and BMI of 47.6 and 28.7 years, and 23.1, respectively. Over half (57%) had detectable coronary artery calcium pre-transplant. Minimal change (0.39 mm3 /y, P = .02) occurred in coronary artery calcium levels pre- to post-transplant. No patient met criteria for calcium progression. Coronary artery calcium was positively associated with total and small VLDL particles (P ≤ .02), statin dose (P = .02), and urine albumin-to-creatinine ratio (P = .04) and negatively associated with free fatty acids (P = .03), total HDL (P = .03), large HDL particles (P = .005), and tacrolimus dose (P = .02). Islet transplant may stabilize coronary artery calcium, with optimal management of lipids and kidney function remaining key therapeutic targets. [NCT00679041].
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Affiliation(s)
- Jessica M Madrigal
- Division of Transplant Surgery, University of Illinois at Chicago, Chicago, IL, USA.,Division of Epidemiology & Biostatistics, University of Illinois at Chicago, Chicago, IL, USA
| | - Rebecca S Monson
- Division of Transplant Surgery, University of Illinois at Chicago, Chicago, IL, USA
| | - Betul Hatipoglu
- Department of Endocrinology, Diabetes and Metabolism, Cleveland Clinic, Cleveland, OH, USA
| | - José Oberholzer
- Division of Transplant Surgery, University of Illinois at Chicago, Chicago, IL, USA
| | - George T Kondos
- Division of Cardiology, University of Illinois at Chicago, Chicago, IL, USA
| | - Krista A Varady
- Department of Kinesiology and Nutrition, University of Illinois at Chicago, Chicago, IL, USA
| | - Kirstie K Danielson
- Division of Transplant Surgery, University of Illinois at Chicago, Chicago, IL, USA.,Division of Epidemiology & Biostatistics, University of Illinois at Chicago, Chicago, IL, USA
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40
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Chunta S, Suedee R, Lieberzeit PA. High-density lipoprotein sensor based on molecularly imprinted polymer. Anal Bioanal Chem 2017; 410:875-883. [PMID: 28664338 PMCID: PMC5775361 DOI: 10.1007/s00216-017-0442-3] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2017] [Revised: 05/24/2017] [Accepted: 05/30/2017] [Indexed: 01/01/2023]
Abstract
Decreased blood level of high-density lipoprotein (HDL) is one of the essential criteria in diagnosing metabolic syndrome associated with the development of atherosclerosis and coronary heart disease. Herein, we report the synthesis of a molecularly imprinted polymer (MIP) that selectively binds HDL, namely, HDL-MIP, and thus serves as an artificial, biomimetic sensor layer. The optimized polymer contains methacrylic acid and N-vinylpyrrolidone in the ratio of 2:3, cross-linked with ethylene glycol dimethacrylate. On 10 MHz dual electrode quartz crystal microbalances (QCM), such HDL-MIP revealed dynamic detection range toward HDL standards in the clinically relevant ranges of 2–250 mg/dL HDL cholesterol (HDL-C) in 10 mM phosphate-buffered saline (PBS, pH = 7.4) without significant interference: low-density lipoprotein (LDL) yields 5% of the HDL signal, and both very-low-density lipoprotein (VLDL) and human serum albumin (HSA) yield 0%. The sensor reveals recovery rates between 94 and 104% at 95% confidence interval with precision of 2.3–7.7% and shows appreciable correlation (R2 = 0.97) with enzymatic colorimetric assay, the standard in clinical tests. In contrast to the latter, it achieves rapid results (10 min) during one-step analysis without the need for sample preparation. ᅟ ![]()
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Affiliation(s)
- Suticha Chunta
- University of Vienna, Faculty for Chemistry, Department of Physical Chemistry, Währinger Straße 42, 1090, Vienna, Austria
| | - Roongnapa Suedee
- Department of Pharmaceutical Chemistry, Faculty of Pharmaceutical Sciences, Prince of Songkla University, Hat Yai, Songkhla, 90112, Thailand
| | - Peter A Lieberzeit
- University of Vienna, Faculty for Chemistry, Department of Physical Chemistry, Währinger Straße 42, 1090, Vienna, Austria.
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41
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Orchard TJ, Cariou B, Connelly MA, Otvos JD, Zhang S, Antalis CJ, Ivanyi T, Hoogwerf BJ. The effects of basal insulin peglispro vs. insulin glargine on lipoprotein particles by NMR and liver fat content by MRI in patients with diabetes. Cardiovasc Diabetol 2017; 16:73. [PMID: 28587667 PMCID: PMC5461740 DOI: 10.1186/s12933-017-0555-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2017] [Accepted: 05/26/2017] [Indexed: 12/23/2022] Open
Abstract
Background In Phase 2/3 studies of basal insulin peglispro (BIL) compared to insulin glargine, patients with type 1 or type 2 diabetes previously treated with insulin and randomized to BIL had an increase in serum triglycerides (TGs). To further understand lipoprotein changes, a lipid substudy which included liver fat content was designed to assess relationships among the measured variables for each diabetes cohort and compare the hepato-preferential insulin BIL to glargine. Methods In three cohorts of patients with diabetes (type 1, type 2 insulin naïve, and type 2 previously on insulin; n = 652), liver fat content (LFC) was determined by magnetic resonance imaging (MRI) and blood lipids were analyzed by nuclear magnetic resonance (NMR) spectroscopy at baseline, 26 and 52 weeks of treatment. Apolipoproteins, adiponectin, and other lipid parameters were also measured. Descriptive statistics were done, as well as correlation analyses to look for relationships among LFC and lipoproteins or other lipid measures. Results In patients with type 1 diabetes treated with BIL, but not glargine, small LDL and medium and large VLDL subclass concentrations increased from baseline. In patients with type 2 diabetes previously on insulin and treated with BIL, large VLDL concentration increased from baseline. In insulin naïve patients with type 2 diabetes treated with BIL, there were very few changes, while in those treated with glargine, small LDL and large VLDL decreased from baseline. Baseline LFC correlated significantly in one or more cohorts with baseline large VLDL, small LDL, VLDL size, and Apo C3. Changes in LFC by treatment showed generally weak correlations with lipoprotein changes, except for positive correlations with large VLDL and VLDL size. Adiponectin was higher in patients with type 1 diabetes compared to patients with type 2 diabetes, but decreased with treatment with both BIL and glargine. Conclusions The lipoprotein changes were in line with the observed changes in serum TGs; i.e., the cohorts experiencing increased TGs and LFC with BIL treatment had decreased LDL size and increased VLDL size. These data and analyses add to the currently available information on the metabolic effects of insulins in a very carefully characterized cohort of patients with diabetes. Clinicaltrials.gov registration numbers and dates NCT01481779 (2011), NCT01435616 (2011), NCT01454284 (2011), NCT01582451 (2012) Electronic supplementary material The online version of this article (doi:10.1186/s12933-017-0555-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Trevor J Orchard
- Department of Epidemiology, GSPH, University of Pittsburgh, Pittsburgh, PA, USA
| | - Bertrand Cariou
- l'Institut du Thorax, CHU Nantes INSERM, CNRS, UNIV Nantes, Nantes, France
| | - Margery A Connelly
- LipoScience, Laboratory Corporation of America Holdings, Morrisville, NC, 27560, USA
| | - James D Otvos
- LipoScience, Laboratory Corporation of America Holdings, Morrisville, NC, 27560, USA
| | - Shuyu Zhang
- Eli Lilly and Company, Lilly Corporate Center, Indianapolis, IN, 46285, USA
| | - Caryl J Antalis
- Eli Lilly and Company, Lilly Corporate Center, Indianapolis, IN, 46285, USA
| | | | - Byron J Hoogwerf
- Eli Lilly and Company, Lilly Corporate Center, Indianapolis, IN, 46285, USA.
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42
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Couto Alves A, Valcarcel B, Mäkinen VP, Morin-Papunen L, Sebert S, Kangas AJ, Soininen P, Das S, De Iorio M, Coin L, Ala-Korpela M, Järvelin MR, Franks S. Metabolic profiling of polycystic ovary syndrome reveals interactions with abdominal obesity. Int J Obes (Lond) 2017; 41:1331-1340. [PMID: 28546543 PMCID: PMC5578435 DOI: 10.1038/ijo.2017.126] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2016] [Revised: 03/21/2017] [Accepted: 03/26/2017] [Indexed: 01/03/2023]
Abstract
Background: Polycystic ovary syndrome (PCOS) is a common reproductive disorder associated with metabolic disturbances including obesity, insulin resistance and diabetes mellitus. Here we investigate whether changes in the metabolic profile of PCOS women are driven by increased tendency to obesity or are specific features of PCOS related to increased testosterone levels. Design and methods: We conducted an NMR metabolomics association study of PCOS cases (n=145) and controls (n=687) nested in a population-based birth cohort (n=3127). Subjects were 31 years old at examination. The main analyses were adjusted for waist circumference (WC) as a proxy measure of central obesity. Subsequently, metabolite concentrations were compared between cases and controls within pre-defined WC strata. In each stratum, additional metabolomics association analyses with testosterone levels were conducted separately among cases and controls. Results: Overall, women with PCOS showed more adverse metabolite profiles than the controls. Four lipid fractions in different subclasses of very low density lipoprotein (VLDL) were associated with PCOS, after adjusting for WC and correction for multiple testing (P<0.002). In stratified analysis the PCOS women within large WC strata (⩾98 cm) had significantly lower high density lipoprotein (HDL) levels, Apo A1 and albumin values compared with the controls. Testosterone levels were significantly associated with VLDL and serum lipids in PCOS cases with large WC but not in the controls. The higher testosterone levels, adjusted for WC, associated adversely with insulin levels and HOMA IR in cases but not in the controls. Conclusions: Our findings show that both abdominal obesity and hyperandrogenism contribute to the dyslipidaemia and other metabolic traits of PCOS which all may negatively contribute to the long-term health of women with PCOS.
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Affiliation(s)
- A Couto Alves
- Department of Epidemiology and Biostatistics, MRC Health Protection Agency (HPE) Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - B Valcarcel
- Rheumatology Unit, Institute of Child Health, University College London, London, UK
| | - V-P Mäkinen
- South Australian Health and Medical Research Center, Adelaide, Australia.,SAHMRI, School of Biological Sciences, University of Adelaide, Adelaide, Australia.,Computational Medicine, Center for Life-Course Health Research, University of Oulu and Oulu University Hospital, Oulu, Finland
| | - L Morin-Papunen
- Department of Obstetrics and Gynecology, University Hospital of Oulu, Medical Research Center Oulu and PEDEGO Research Unit, University of Oulu, Oulu, Finland
| | - S Sebert
- Center for Life-Course Health Research, Northern Finland Cohort Center, Faculty of Medicine, University of Oulu, Oulu, Finland.,Biocenter Oulu, University of Oulu, Oulu, Finland
| | - A J Kangas
- Computational Medicine, Center for Life-Course Health Research, University of Oulu and Oulu University Hospital, Oulu, Finland
| | - P Soininen
- SAHMRI, School of Biological Sciences, University of Adelaide, Adelaide, Australia.,NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - S Das
- Department of Epidemiology and Biostatistics, MRC Health Protection Agency (HPE) Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - M De Iorio
- Department of Statistical Science, University College London, London, UK
| | - L Coin
- Department of Epidemiology and Biostatistics, MRC Health Protection Agency (HPE) Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - M Ala-Korpela
- SAHMRI, School of Biological Sciences, University of Adelaide, Adelaide, Australia.,Biocenter Oulu, University of Oulu, Oulu, Finland.,NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio, Finland.,Computational Medicine, School of Social and Community Medicine and the Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - M-R Järvelin
- Department of Epidemiology and Biostatistics, MRC Health Protection Agency (HPE) Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.,Center for Life-Course Health Research, Northern Finland Cohort Center, Faculty of Medicine, University of Oulu, Oulu, Finland.,Biocenter Oulu, University of Oulu, Oulu, Finland.,Unit of Primary Care, Oulu University Hospital, Oulu, Finland
| | - S Franks
- Institute of Reproductive and Developmental Biology, Imperial College London, London, UK
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43
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Mørk M, Handberg A, Pedersen S, Jørgensen MM, Bæk R, Nielsen MK, Kristensen SR. Prospects and limitations of antibody-mediated clearing of lipoproteins from blood plasma prior to nanoparticle tracking analysis of extracellular vesicles. J Extracell Vesicles 2017; 6:1308779. [PMID: 28473885 PMCID: PMC5405563 DOI: 10.1080/20013078.2017.1308779] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Accepted: 03/31/2017] [Indexed: 01/12/2023] Open
Abstract
Introduction: Nanoparticle tracking analysis (NTA) enables measurement of extracellular vesicles (EVs) but lacks the ability to distinct between EVs and lipoproteins which are abundantly present in blood plasma. Limitations in ultracentrifugation and size exclusion chromatography applied for EV isolation may result in inadequate EV purification and preservation. In this proof of concept study, we aimed to evaluate the potential of antibody-mediated removal of lipoproteins from plasma prior to extracellular vesicle (EV) analysis by nanoparticle tracking analysis (NTA). Methods: Ten platelet-free plasma (PFP) samples from healthy fasting subjects were incubated with magnetic beads coated with antibodies against apolipoprotein B-48 and B-100 (ApoB). Plasma samples were analysed with NTA before and after application of the bead procedure. Four fasting PFP samples were analysed with an ELISA specific for human ApoB to estimate the degree of removal of lipoproteins and EV array analysis was used for identification of possible EV loss. Results: The magnetic bead separation procedure resulted in a median reduction of the particle concentration in plasma by 62% (interquartile range 32-72%). The mean size of the remaining particles generally increased. ApoB concentration was reduced to a level close to the background signal, whereas a median reduction of the EV content by 21% (range 8-43%) was observed. Conclusion: Anti-ApoB antibody coated magnetic beads may hold potential for removal of lipoproteins from human PFP prior to EV measurement by NTA but some artefactual effect and EV loss may have to be endured.
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Affiliation(s)
- Morten Mørk
- Department of Clinical Biochemistry, Aalborg University Hospital, Aalborg, Denmark.,AF Study Group, Aalborg University Hospital, Aalborg, Denmark
| | - Aase Handberg
- Department of Clinical Biochemistry, Aalborg University Hospital, Aalborg, Denmark
| | - Shona Pedersen
- Department of Clinical Biochemistry, Aalborg University Hospital, Aalborg, Denmark.,AF Study Group, Aalborg University Hospital, Aalborg, Denmark.,Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Malene M Jørgensen
- Department of Clinical Immunology, Aalborg University Hospital, Aalborg, Denmark, part of EVsearch.dk
| | - Rikke Bæk
- Department of Clinical Immunology, Aalborg University Hospital, Aalborg, Denmark, part of EVsearch.dk
| | - Morten K Nielsen
- Department of Clinical Biochemistry, Aalborg University Hospital, Aalborg, Denmark
| | - Søren R Kristensen
- Department of Clinical Biochemistry, Aalborg University Hospital, Aalborg, Denmark.,AF Study Group, Aalborg University Hospital, Aalborg, Denmark.,Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
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Abstract
Cardiovascular disease, particularly ischemic heart disease, is one of the most common causes of morbidity and mortality in the United States. Atherosclerosis, the root cause of ischemic heart disease, is promoted by risk factors like elevated plasma low-density lipoprotein, low plasma high-density lipoprotein, smoking, hypertension, and diabetes mellitus. Even 66 years after a relation between triglycerides (TG) and cardiovascular disease was first suspected, TGs still continue to be a controversial risk factor and target for therapy. Some previous studies did not show any significant positive relationship between TG and cardiovascular mortality; however, recent meta-analyses found otherwise. The role of elevated TG in patients with low low-density lipoprotein and interventions to lower TG to reduce cardiovascular mortality and morbidity is an area of active research.
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45
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Valkonen S, van der Pol E, Böing A, Yuana Y, Yliperttula M, Nieuwland R, Laitinen S, Siljander P. Biological reference materials for extracellular vesicle studies. Eur J Pharm Sci 2017; 98:4-16. [DOI: 10.1016/j.ejps.2016.09.008] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2016] [Revised: 09/06/2016] [Accepted: 09/06/2016] [Indexed: 01/05/2023]
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46
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Vaid S, Hanks L, Griffin R, Ashraf AP. Body mass index and glycemic control influence lipoproteins in children with type 1 diabetes. J Clin Lipidol 2016; 10:1240-7. [PMID: 27678442 DOI: 10.1016/j.jacl.2016.07.010] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2016] [Revised: 07/25/2016] [Accepted: 07/29/2016] [Indexed: 01/30/2023]
Abstract
BACKGROUND Patients with type 1 diabetes mellitus (T1DM) have an extremely high risk of cardiovascular disease (CVD) morbidity and mortality. It is well known that dyslipidemia is a subclinical manifestation of atherosclerosis. OBJECTIVE To analyze presence and predicting factors of lipoprotein abnormalities prevalent in children with T1DM and whether race-specific differences exist between non-Hispanic white (NHW) and non-Hispanic black (NHB) in the lipoprotein characteristics. METHODS A retrospective electronic chart review including 600 (123 NHB and 477 NHW) T1DM patients aged 7.85 ± 3.75 years who underwent lipoprotein analysis. RESULTS Relative to NHW counterparts, NHB T1DM subjects had a higher HbA1c, total cholesterol (TC), low-density lipoprotein cholesterol (LDL-c), apoB 100, lipoprotein (a), and high-density lipoprotein cholesterol (HDL-c), HDL-2, and HDL-3. Body mass index (BMI) was positively associated with TC, LDL-c, apoB 100, and non-HDL-c and inversely associated with HDL, HDL-2, and HDL-3. HbA1c was positively associated with TC, LDL-c, apoB 100, non-HDL-c, and HDL-3. Multilinear regression analysis demonstrated that HbA1c was positively associated with apoB 100 in both NHB and NHW, and BMI was a positive determinant of apoB 100 in NHW only. CONCLUSION Poor glycemic control and high BMI may contribute to abnormal lipoprotein profiles. Glycemic control (in NHB and NHW) and weight management (in NHW) may have significant implications in T1DM. ApoB 100 concentrations in subjects with T1DM were determined by modifiable risk factors, BMI, HbA1C, and blood pressure, indicating the importance of adequate weight, glycemic, and blood pressure control for better diabetes care and likely lower CVD risk.
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Affiliation(s)
- Shalini Vaid
- UAB School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
| | - Lynae Hanks
- Department of Pediatrics/Division of Pediatric Endocrinology and Metabolism, Children's of Alabama, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Russell Griffin
- Center for Clinical and Translational Sciences, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Ambika P Ashraf
- Department of Pediatrics/Division of Pediatric Endocrinology and Metabolism, Children's of Alabama, University of Alabama at Birmingham, Birmingham, AL, USA
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47
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Ellsworth DL, Costantino NS, Blackburn HL, Engler RJM, Kashani M, Vernalis MN. Lifestyle modification interventions differing in intensity and dietary stringency improve insulin resistance through changes in lipoprotein profiles. Obes Sci Pract 2016; 2:282-292. [PMID: 27708845 PMCID: PMC5043634 DOI: 10.1002/osp4.54] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2016] [Revised: 06/03/2016] [Accepted: 06/25/2016] [Indexed: 12/22/2022] Open
Abstract
Objective Metabolic dysfunction characterized by insulin resistance (IR) is an important risk factor for type‐2 diabetes and coronary artery disease (CAD). The aim of this study was to determine if clinical lifestyle interventions differing in scope and intensity improve IR, defined by the lipoprotein IR (LPIR) score, in individuals differing in the severity of metabolic dysfunction. Methods Subjects with diagnosed type‐2 diabetes, CAD or significant risk factors participated in one of two clinical lifestyle modification interventions: (i) intensive non‐randomized programme with a strict vegetarian diet (n = 90 participants, 90 matched controls) or (ii) moderate randomized trial following a Mediterranean‐style diet (n = 89 subjects, 58 controls). On‐treatment and intention‐to‐treat analyses assessed changes over 1 year in LPIR, lipoprotein profiles and metabolic risk factors in intervention participants and controls in both programmes. Results In the on‐treatment analysis, both interventions led to weight loss: [−8.9% (95% CI, −10.3 to −7.4), intensive programme; −2.8% (95% CI, −3.8 to −1.9), moderate programme; adjusted P < 0.001] and a decrease in the LPIR score [−13.3% (95% CI, −18.2 to −8.3), intensive; −8.8% (95% CI, −12.9 to −4.7), moderate; adjusted P < 0.01] compared with respective controls. Of the six lipoprotein parameters comprising LPIR, only large very‐low‐density lipoprotein particle concentrations decreased significantly in participants compared with controls in both programmes [−26.3% (95% CI, −43.0 to −9.6), intensive; −14.2% (95% CI, −27.4 to −1.0), moderate; P < 0.05]. Intention‐to‐treat analysis confirmed and strengthened the primary results. Conclusion A stringent lifestyle modification intervention with a vegetarian diet and a moderate lifestyle modification intervention following a Mediterranean diet were both effective for improving IR defined by the LPIR score.
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Affiliation(s)
- D L Ellsworth
- Integrative Cardiac Health Program Chan Soon-Shiong Institute of Molecular Medicine at Windber Windber PA USA
| | - N S Costantino
- Integrative Cardiac Health Program Chan Soon-Shiong Institute of Molecular Medicine at Windber Windber PA USA
| | - H L Blackburn
- Integrative Cardiac Health Program Chan Soon-Shiong Institute of Molecular Medicine at Windber Windber PA USA
| | - R J M Engler
- Integrative Cardiac Health Program Walter Reed National Military Medical Center Bethesda MD USA
| | - M Kashani
- Integrative Cardiac Health Program Walter Reed National Military Medical Center Bethesda MD USA
| | - M N Vernalis
- Integrative Cardiac Health Program Walter Reed National Military Medical Center Bethesda MD USA
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48
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Welton JL, Brennan P, Gurney M, Webber JP, Spary LK, Carton DG, Falcón-Pérez JM, Walton SP, Mason MD, Tabi Z, Clayton A. Proteomics analysis of vesicles isolated from plasma and urine of prostate cancer patients using a multiplex, aptamer-based protein array. J Extracell Vesicles 2016; 5:31209. [PMID: 27363484 PMCID: PMC4929354 DOI: 10.3402/jev.v5.31209] [Citation(s) in RCA: 52] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2016] [Revised: 04/11/2016] [Accepted: 04/17/2016] [Indexed: 12/28/2022] Open
Abstract
Proteomics analysis of biofluid-derived vesicles holds enormous potential for discovering non-invasive disease markers. Obtaining vesicles of sufficient quality and quantity for profiling studies has, however, been a major problem, as samples are often replete with co-isolated material that can interfere with the identification of genuine low abundance, vesicle components. Here, we used a combination of ultracentrifugation and size-exclusion chromatography to isolate and analyse vesicles of plasma or urine origin. We describe a sample-handling workflow that gives reproducible, quality vesicle isolations sufficient for subsequent protein profiling. Using a semi-quantitative aptamer-based protein array, we identified around 1,000 proteins, of which almost 400 were present at comparable quantities in plasma versus urine vesicles. Significant differences were, however, apparent with elements like HSP90, integrin αVβ5 and Contactin-1 more prevalent in urinary vesicles, while hepatocyte growth factor activator, prostate-specific antigen–antichymotrypsin complex and many others were more abundant in plasma vesicles. This was also applied to a small set of specimens collected from men with metastatic prostate cancer, highlighting several proteins with the potential to indicate treatment refractory disease. The study provides a practical platform for furthering protein profiling of vesicles in prostate cancer, and, hopefully, many other disease scenarios.
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Affiliation(s)
- Joanne Louise Welton
- Division of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, United Kingdom.,Velindre Cancer Centre, Cardiff, United Kingdom.,Cardiff School of Health Sciences, Cardiff Metropolitan University, Cardiff, United Kingdom
| | - Paul Brennan
- Division of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Mark Gurney
- Division of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, United Kingdom.,Velindre Cancer Centre, Cardiff, United Kingdom
| | - Jason Paul Webber
- Division of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, United Kingdom.,Velindre Cancer Centre, Cardiff, United Kingdom
| | - Lisa Kate Spary
- Division of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, United Kingdom.,Velindre Cancer Centre, Cardiff, United Kingdom
| | - David Gil Carton
- Metabolomics Unit, CIC bioGUNE, CIBERehd, Bizkaia Technology Park, Derio, Spain
| | | | - Sean Peter Walton
- Department of Computer Science, College of Science, Swansea University, United Kingdom
| | - Malcolm David Mason
- Division of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, United Kingdom.,Velindre Cancer Centre, Cardiff, United Kingdom
| | - Zsuzsanna Tabi
- Division of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, United Kingdom.,Velindre Cancer Centre, Cardiff, United Kingdom
| | - Aled Clayton
- Division of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, United Kingdom.,Velindre Cancer Centre, Cardiff, United Kingdom;
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49
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Cree-Green M, Maahs DM, Ferland A, Hokanson JE, Wang H, Pyle L, Kinney GL, King M, Eckel RH, Nadeau KJ. Lipoprotein subfraction cholesterol distribution is more atherogenic in insulin resistant adolescents with type 1 diabetes. Pediatr Diabetes 2016; 17:257-65. [PMID: 26080650 PMCID: PMC4887262 DOI: 10.1111/pedi.12277] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2014] [Revised: 03/15/2015] [Accepted: 03/16/2015] [Indexed: 02/06/2023] Open
Abstract
AIMS/HYPOTHESIS Adolescents with type 1 diabetes (T1D) often have a less atherogenic-appearing fasting lipid profile than controls, despite increased rates of cardiovascular disease (CVD) as adults. We previously reported an atherogenic lipoprotein subfraction cholesterol distribution associated with insulin resistance (IR) in T1D adults. We sought to determine if T1D youth have more atherogenic profile than controls via a cross-sectional study. METHODS Following 3 days of controlled diet and restricted exercise, fasting plasma samples were drawn from 28 T1D youth [50% female, age 15.3 ± 2 yr, body mass index (BMI) 48%ile; diabetes duration 73 ± 52 months, hemoglobin A1c (HbA1c) 8.3 ± 1.4%] and 17 non-diabetic controls (47% female, age: 15.0 ± 2 yr, BMI 49%ile) prior to a hyperinsulinemic euglycemic clamp. Lipoproteins were fractionated by fast protein liquid chromatography (FPLC) and lipoprotein cholesterol distribution determined. Outcome measures were IR assessed by glucose infusion rate (GIR) and FPLC lipoprotein subfraction cholesterol distribution. RESULTS T1D youth were more IR (GIR 9.1 ± 3.6 vs. 14.7 ± 3.9 mg/kg/min, p < 0.0001) and had more cholesterol distributed as small dense low density lipoprotein-cholesterol (LDL-C) and less as large buoyant high density lipoprotein-cholesterol (HDL-C) than controls (p < 0.05), despite no differences in the fasting lipid panel. T1D girls lacked the typical female less-atherogenic profile, whereas control girls tended to have a shift toward less dense LDL-C and HDL-C vs. control boys. Among T1D, IR but not HbA1c was associated with a more atherogenic lipoprotein profile. CONCLUSIONS/INTERPRETATIONS Normal weight T1D youth, especially females, had more atherogenic LDL-C and HDL-C distributions which correlated with lower insulin sensitivity. IR may contribute to the increased CVD burden in T1D.
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Affiliation(s)
- Melanie Cree-Green
- Barbara Davis Center for Childhood Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO
- Department of Pediatrics, Division of Pediatric Endocrinology, University of Colorado Anschutz Medical Campus, Aurora, CO
- Center for Women’s Health Research, Aurora, CO
| | - David M. Maahs
- Barbara Davis Center for Childhood Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Annie Ferland
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - John E. Hokanson
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Hong Wang
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Laura Pyle
- Department of Pediatrics, Division of Pediatric Endocrinology, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Gregory L. Kinney
- Department of Pediatrics, Division of Pediatric Endocrinology, University of Colorado Anschutz Medical Campus, Aurora, CO
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Martina King
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Robert H. Eckel
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Kristen J. Nadeau
- Barbara Davis Center for Childhood Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO
- Department of Pediatrics, Division of Pediatric Endocrinology, University of Colorado Anschutz Medical Campus, Aurora, CO
- Center for Women’s Health Research, Aurora, CO
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50
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Tiozzo E, Gardener H, Hudson BI, Dong C, Della-Morte D, Crisby M, Goldberg RB, Elkind MSV, Cheung YK, Wright CB, Sacco RL, Desvarieux M, Rundek T. Subfractions of High-Density Lipoprotein-Cholesterol and Carotid Intima-Media Thickness: The Northern Manhattan Study. Stroke 2016; 47:1508-13. [PMID: 27165951 DOI: 10.1161/strokeaha.115.012009] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2015] [Accepted: 04/12/2016] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Recent drug trials have challenged the high-density lipoprotein-cholesterol (HDL-C) antiatherosclerotic hypothesis, suggesting that total level of HDL-C may not be the best target for intervention. HDL-C subfractions may be better markers of vascular risk than total levels of HDL-C. The objective of this cross-sectional study was to investigate the relationship between HDL2-C and HDL3-C fractions and carotid intima-media thickness (cIMT) in the population-based Northern Manhattan Study. METHODS We evaluated 988 stroke-free participants (mean age, 66±8 years; 60% women; 66% Hispanic, and 34% non-Hispanic) with available data on HDL-C subfractions using precipitation method and cIMT assessed by a high-resolution carotid ultrasound. The associations between HDL-C subfractions and cIMT were analyzed by multiple linear regression models. RESULTS The mean HDL2-C was 14±8 mg/dL, HDL3-C 32±8 mg/dL, and the mean total HDL-C was 46±14 mg/dL. The mean cIMT was 0.90±0.08 mm. After controlling for demographics and vascular risk factors, HDL2-C and total HDL-C were inversely associated with cIMT (per 2 SDs, β=-0.017, P=0.001 and β=-0.012, P=0.03, respectively). The same inverse association was more pronounced among those with diabetes mellitus (per 2SDs, HDL2-C: β=-0.043, P=0.003 and HDL-C: β=-0.029, P=0.02). HDL3-C was not associated with cIMT. CONCLUSIONS HDL2-C had greater effect on cIMT than HDL3-C in this large urban population. The effect of HDL2-C was especially pronounced among individuals with diabetes mellitus. More research is needed to determine antiatherosclerotic effects of HDL-C subfractions and their clinical relevance.
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Affiliation(s)
- Eduard Tiozzo
- From the Department of Psychiatry and Behavioral Sciences, Miller School of Medicine (E.T.), Department of Neurology, Miller School of Medicine (E.T., H.G., C.D., D.D.-M., C.B.W., R.L.S., T.R.), Division of Endocrinology, Diabetes and Metabolism (B.I.H.), Diabetes Research Institute and Lipid Disorder Clinic (R.B.G.), and Department of Public Health Sciences (R.L.S.), University of Miami, FL; Department of System Medicine, University of Rome Tor Vergata, Rome, Italy (D.D.-M.); Biomarker Discovery and Advanced Technologies (BioDAT), IRCCS San Raffaele Pisana, Rome, Italy (D.D.-M.); Karolinska Institute, Department of Neurobiology, Care Sciences and Society, Stockholm, Sweden (M.C.); Department of Neurology, Columbia University College of Physicians and Surgeons, New York, NY (M.S.V.E.); Department of Biostatistics (Y.K.C.) and Department of Epidemiology (M.D.), Mailman School of Public Health, Columbia University, New York, NY; and Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS-UMR1153), Paris, France (M.D.).
| | - Hannah Gardener
- From the Department of Psychiatry and Behavioral Sciences, Miller School of Medicine (E.T.), Department of Neurology, Miller School of Medicine (E.T., H.G., C.D., D.D.-M., C.B.W., R.L.S., T.R.), Division of Endocrinology, Diabetes and Metabolism (B.I.H.), Diabetes Research Institute and Lipid Disorder Clinic (R.B.G.), and Department of Public Health Sciences (R.L.S.), University of Miami, FL; Department of System Medicine, University of Rome Tor Vergata, Rome, Italy (D.D.-M.); Biomarker Discovery and Advanced Technologies (BioDAT), IRCCS San Raffaele Pisana, Rome, Italy (D.D.-M.); Karolinska Institute, Department of Neurobiology, Care Sciences and Society, Stockholm, Sweden (M.C.); Department of Neurology, Columbia University College of Physicians and Surgeons, New York, NY (M.S.V.E.); Department of Biostatistics (Y.K.C.) and Department of Epidemiology (M.D.), Mailman School of Public Health, Columbia University, New York, NY; and Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS-UMR1153), Paris, France (M.D.)
| | - Barry I Hudson
- From the Department of Psychiatry and Behavioral Sciences, Miller School of Medicine (E.T.), Department of Neurology, Miller School of Medicine (E.T., H.G., C.D., D.D.-M., C.B.W., R.L.S., T.R.), Division of Endocrinology, Diabetes and Metabolism (B.I.H.), Diabetes Research Institute and Lipid Disorder Clinic (R.B.G.), and Department of Public Health Sciences (R.L.S.), University of Miami, FL; Department of System Medicine, University of Rome Tor Vergata, Rome, Italy (D.D.-M.); Biomarker Discovery and Advanced Technologies (BioDAT), IRCCS San Raffaele Pisana, Rome, Italy (D.D.-M.); Karolinska Institute, Department of Neurobiology, Care Sciences and Society, Stockholm, Sweden (M.C.); Department of Neurology, Columbia University College of Physicians and Surgeons, New York, NY (M.S.V.E.); Department of Biostatistics (Y.K.C.) and Department of Epidemiology (M.D.), Mailman School of Public Health, Columbia University, New York, NY; and Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS-UMR1153), Paris, France (M.D.)
| | - Chuanhui Dong
- From the Department of Psychiatry and Behavioral Sciences, Miller School of Medicine (E.T.), Department of Neurology, Miller School of Medicine (E.T., H.G., C.D., D.D.-M., C.B.W., R.L.S., T.R.), Division of Endocrinology, Diabetes and Metabolism (B.I.H.), Diabetes Research Institute and Lipid Disorder Clinic (R.B.G.), and Department of Public Health Sciences (R.L.S.), University of Miami, FL; Department of System Medicine, University of Rome Tor Vergata, Rome, Italy (D.D.-M.); Biomarker Discovery and Advanced Technologies (BioDAT), IRCCS San Raffaele Pisana, Rome, Italy (D.D.-M.); Karolinska Institute, Department of Neurobiology, Care Sciences and Society, Stockholm, Sweden (M.C.); Department of Neurology, Columbia University College of Physicians and Surgeons, New York, NY (M.S.V.E.); Department of Biostatistics (Y.K.C.) and Department of Epidemiology (M.D.), Mailman School of Public Health, Columbia University, New York, NY; and Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS-UMR1153), Paris, France (M.D.)
| | - David Della-Morte
- From the Department of Psychiatry and Behavioral Sciences, Miller School of Medicine (E.T.), Department of Neurology, Miller School of Medicine (E.T., H.G., C.D., D.D.-M., C.B.W., R.L.S., T.R.), Division of Endocrinology, Diabetes and Metabolism (B.I.H.), Diabetes Research Institute and Lipid Disorder Clinic (R.B.G.), and Department of Public Health Sciences (R.L.S.), University of Miami, FL; Department of System Medicine, University of Rome Tor Vergata, Rome, Italy (D.D.-M.); Biomarker Discovery and Advanced Technologies (BioDAT), IRCCS San Raffaele Pisana, Rome, Italy (D.D.-M.); Karolinska Institute, Department of Neurobiology, Care Sciences and Society, Stockholm, Sweden (M.C.); Department of Neurology, Columbia University College of Physicians and Surgeons, New York, NY (M.S.V.E.); Department of Biostatistics (Y.K.C.) and Department of Epidemiology (M.D.), Mailman School of Public Health, Columbia University, New York, NY; and Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS-UMR1153), Paris, France (M.D.)
| | - Milita Crisby
- From the Department of Psychiatry and Behavioral Sciences, Miller School of Medicine (E.T.), Department of Neurology, Miller School of Medicine (E.T., H.G., C.D., D.D.-M., C.B.W., R.L.S., T.R.), Division of Endocrinology, Diabetes and Metabolism (B.I.H.), Diabetes Research Institute and Lipid Disorder Clinic (R.B.G.), and Department of Public Health Sciences (R.L.S.), University of Miami, FL; Department of System Medicine, University of Rome Tor Vergata, Rome, Italy (D.D.-M.); Biomarker Discovery and Advanced Technologies (BioDAT), IRCCS San Raffaele Pisana, Rome, Italy (D.D.-M.); Karolinska Institute, Department of Neurobiology, Care Sciences and Society, Stockholm, Sweden (M.C.); Department of Neurology, Columbia University College of Physicians and Surgeons, New York, NY (M.S.V.E.); Department of Biostatistics (Y.K.C.) and Department of Epidemiology (M.D.), Mailman School of Public Health, Columbia University, New York, NY; and Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS-UMR1153), Paris, France (M.D.)
| | - Ronald B Goldberg
- From the Department of Psychiatry and Behavioral Sciences, Miller School of Medicine (E.T.), Department of Neurology, Miller School of Medicine (E.T., H.G., C.D., D.D.-M., C.B.W., R.L.S., T.R.), Division of Endocrinology, Diabetes and Metabolism (B.I.H.), Diabetes Research Institute and Lipid Disorder Clinic (R.B.G.), and Department of Public Health Sciences (R.L.S.), University of Miami, FL; Department of System Medicine, University of Rome Tor Vergata, Rome, Italy (D.D.-M.); Biomarker Discovery and Advanced Technologies (BioDAT), IRCCS San Raffaele Pisana, Rome, Italy (D.D.-M.); Karolinska Institute, Department of Neurobiology, Care Sciences and Society, Stockholm, Sweden (M.C.); Department of Neurology, Columbia University College of Physicians and Surgeons, New York, NY (M.S.V.E.); Department of Biostatistics (Y.K.C.) and Department of Epidemiology (M.D.), Mailman School of Public Health, Columbia University, New York, NY; and Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS-UMR1153), Paris, France (M.D.)
| | - Mitchell S V Elkind
- From the Department of Psychiatry and Behavioral Sciences, Miller School of Medicine (E.T.), Department of Neurology, Miller School of Medicine (E.T., H.G., C.D., D.D.-M., C.B.W., R.L.S., T.R.), Division of Endocrinology, Diabetes and Metabolism (B.I.H.), Diabetes Research Institute and Lipid Disorder Clinic (R.B.G.), and Department of Public Health Sciences (R.L.S.), University of Miami, FL; Department of System Medicine, University of Rome Tor Vergata, Rome, Italy (D.D.-M.); Biomarker Discovery and Advanced Technologies (BioDAT), IRCCS San Raffaele Pisana, Rome, Italy (D.D.-M.); Karolinska Institute, Department of Neurobiology, Care Sciences and Society, Stockholm, Sweden (M.C.); Department of Neurology, Columbia University College of Physicians and Surgeons, New York, NY (M.S.V.E.); Department of Biostatistics (Y.K.C.) and Department of Epidemiology (M.D.), Mailman School of Public Health, Columbia University, New York, NY; and Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS-UMR1153), Paris, France (M.D.)
| | - Ying Kuen Cheung
- From the Department of Psychiatry and Behavioral Sciences, Miller School of Medicine (E.T.), Department of Neurology, Miller School of Medicine (E.T., H.G., C.D., D.D.-M., C.B.W., R.L.S., T.R.), Division of Endocrinology, Diabetes and Metabolism (B.I.H.), Diabetes Research Institute and Lipid Disorder Clinic (R.B.G.), and Department of Public Health Sciences (R.L.S.), University of Miami, FL; Department of System Medicine, University of Rome Tor Vergata, Rome, Italy (D.D.-M.); Biomarker Discovery and Advanced Technologies (BioDAT), IRCCS San Raffaele Pisana, Rome, Italy (D.D.-M.); Karolinska Institute, Department of Neurobiology, Care Sciences and Society, Stockholm, Sweden (M.C.); Department of Neurology, Columbia University College of Physicians and Surgeons, New York, NY (M.S.V.E.); Department of Biostatistics (Y.K.C.) and Department of Epidemiology (M.D.), Mailman School of Public Health, Columbia University, New York, NY; and Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS-UMR1153), Paris, France (M.D.)
| | - Clinton B Wright
- From the Department of Psychiatry and Behavioral Sciences, Miller School of Medicine (E.T.), Department of Neurology, Miller School of Medicine (E.T., H.G., C.D., D.D.-M., C.B.W., R.L.S., T.R.), Division of Endocrinology, Diabetes and Metabolism (B.I.H.), Diabetes Research Institute and Lipid Disorder Clinic (R.B.G.), and Department of Public Health Sciences (R.L.S.), University of Miami, FL; Department of System Medicine, University of Rome Tor Vergata, Rome, Italy (D.D.-M.); Biomarker Discovery and Advanced Technologies (BioDAT), IRCCS San Raffaele Pisana, Rome, Italy (D.D.-M.); Karolinska Institute, Department of Neurobiology, Care Sciences and Society, Stockholm, Sweden (M.C.); Department of Neurology, Columbia University College of Physicians and Surgeons, New York, NY (M.S.V.E.); Department of Biostatistics (Y.K.C.) and Department of Epidemiology (M.D.), Mailman School of Public Health, Columbia University, New York, NY; and Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS-UMR1153), Paris, France (M.D.)
| | - Ralph L Sacco
- From the Department of Psychiatry and Behavioral Sciences, Miller School of Medicine (E.T.), Department of Neurology, Miller School of Medicine (E.T., H.G., C.D., D.D.-M., C.B.W., R.L.S., T.R.), Division of Endocrinology, Diabetes and Metabolism (B.I.H.), Diabetes Research Institute and Lipid Disorder Clinic (R.B.G.), and Department of Public Health Sciences (R.L.S.), University of Miami, FL; Department of System Medicine, University of Rome Tor Vergata, Rome, Italy (D.D.-M.); Biomarker Discovery and Advanced Technologies (BioDAT), IRCCS San Raffaele Pisana, Rome, Italy (D.D.-M.); Karolinska Institute, Department of Neurobiology, Care Sciences and Society, Stockholm, Sweden (M.C.); Department of Neurology, Columbia University College of Physicians and Surgeons, New York, NY (M.S.V.E.); Department of Biostatistics (Y.K.C.) and Department of Epidemiology (M.D.), Mailman School of Public Health, Columbia University, New York, NY; and Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS-UMR1153), Paris, France (M.D.)
| | - Moise Desvarieux
- From the Department of Psychiatry and Behavioral Sciences, Miller School of Medicine (E.T.), Department of Neurology, Miller School of Medicine (E.T., H.G., C.D., D.D.-M., C.B.W., R.L.S., T.R.), Division of Endocrinology, Diabetes and Metabolism (B.I.H.), Diabetes Research Institute and Lipid Disorder Clinic (R.B.G.), and Department of Public Health Sciences (R.L.S.), University of Miami, FL; Department of System Medicine, University of Rome Tor Vergata, Rome, Italy (D.D.-M.); Biomarker Discovery and Advanced Technologies (BioDAT), IRCCS San Raffaele Pisana, Rome, Italy (D.D.-M.); Karolinska Institute, Department of Neurobiology, Care Sciences and Society, Stockholm, Sweden (M.C.); Department of Neurology, Columbia University College of Physicians and Surgeons, New York, NY (M.S.V.E.); Department of Biostatistics (Y.K.C.) and Department of Epidemiology (M.D.), Mailman School of Public Health, Columbia University, New York, NY; and Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS-UMR1153), Paris, France (M.D.)
| | - Tatjana Rundek
- From the Department of Psychiatry and Behavioral Sciences, Miller School of Medicine (E.T.), Department of Neurology, Miller School of Medicine (E.T., H.G., C.D., D.D.-M., C.B.W., R.L.S., T.R.), Division of Endocrinology, Diabetes and Metabolism (B.I.H.), Diabetes Research Institute and Lipid Disorder Clinic (R.B.G.), and Department of Public Health Sciences (R.L.S.), University of Miami, FL; Department of System Medicine, University of Rome Tor Vergata, Rome, Italy (D.D.-M.); Biomarker Discovery and Advanced Technologies (BioDAT), IRCCS San Raffaele Pisana, Rome, Italy (D.D.-M.); Karolinska Institute, Department of Neurobiology, Care Sciences and Society, Stockholm, Sweden (M.C.); Department of Neurology, Columbia University College of Physicians and Surgeons, New York, NY (M.S.V.E.); Department of Biostatistics (Y.K.C.) and Department of Epidemiology (M.D.), Mailman School of Public Health, Columbia University, New York, NY; and Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS-UMR1153), Paris, France (M.D.)
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