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Tebar WR, Meneghini V, Goulart AC, Santos IS, Santos RD, Bittencourt MS, Generoso G, Pereira AC, Blaha MJ, Jones SR, Toth PP, Otvos JD, Lotufo PA, Bensenor IM. Combined Association of Novel and Traditional Inflammatory Biomarkers With Carotid Artery Plaque: GlycA Versus C-Reactive Protein (ELSA-Brasil). Am J Cardiol 2023; 204:140-150. [PMID: 37542984 DOI: 10.1016/j.amjcard.2023.07.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 06/29/2023] [Accepted: 07/07/2023] [Indexed: 08/07/2023]
Abstract
Elevated levels of glycoprotein acetylation (GlycA) and C-reactive protein (CRP) have been associated with carotid artery plaque (CAP). However, it is not yet established if elevations in both inflammatory biomarkers provide incremental association with CAP. This study aimed evaluate the cross-sectional association of high CRP and GlycA with CAP at baseline participants from the ELSA-Brasil adult cohort. Participants with information on CRP, GlycA, and CAP with neither previous cardiovascular disease nor CRP >10 mg/L were included. High GlycA and CRP were defined as values within upper quintile and >3 mg/L, respectively. Participants were classified into 4 groups: 1. nonelevated CRP/GlycA (reference group); 2. elevated CRP alone; 3. elevated GlycA alone; and 4. both elevated. The analysis included 4,126 participants with median age of 50 years-old, being 54.2% of women. Prevalence of CAP was 36.1%. Participants with high CRP had the highest frequency of obesity, whereas participants with high GlycA presented higher cardiovascular risk factor burden and were more likely to have CAP than the reference group (odds ratio [OR] 1.39, 95% confidence interval [CI] 1.11 to 1.73), persisting after multivariable adjustment (OR 1.37, 95% CI 1.02 to 1.83). Participants with both elevated CRP and GlycA were more likely to have CAP in crude (OR 1.35, 95% CI 1.10 to 1.65) but not in adjusted models. The findings suggest potential different biologic pathways between inflammation and carotid atherosclerosis: high GlycA was associated with CAP whereas high CRP was more associated with obesity.
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Affiliation(s)
- William R Tebar
- Center for Clinical and Epidemiological Research, University Hospital of University of Sao Paulo, Sao Paulo, Brazil
| | - Vandrize Meneghini
- Center for Clinical and Epidemiological Research, University Hospital of University of Sao Paulo, Sao Paulo, Brazil
| | - Alessandra C Goulart
- Center for Clinical and Epidemiological Research, University Hospital of University of Sao Paulo, Sao Paulo, Brazil
| | - Itamar S Santos
- Center for Clinical and Epidemiological Research, University Hospital of University of Sao Paulo, Sao Paulo, Brazil
| | - Raul D Santos
- Lipid Clinic of Heart Institute (InCor), University of São Paulo Medical School Hospital, São Paulo, Brazil
| | - Marcio S Bittencourt
- Center for Clinical and Epidemiological Research, University Hospital of University of Sao Paulo, Sao Paulo, Brazil
| | - Giuliano Generoso
- Center for Clinical and Epidemiological Research, University Hospital of University of Sao Paulo, Sao Paulo, Brazil
| | - Alexandre C Pereira
- Laboratory of Genetics and Molecular Cardiology, University of São Paulo Medical School Hospital, São Paulo, SP, Brazil
| | - Michael J Blaha
- Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Baltimore, Maryland
| | - Steven R Jones
- Department of Preventive Cardiology, CGH Medical Center, Sterling, Illinois
| | - Peter P Toth
- Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Baltimore, Maryland; Department of Preventive Cardiology, CGH Medical Center, Sterling, Illinois
| | - James D Otvos
- Laboratory Corporation of America Holdings (LabCorp), Morrisville, North Carolina
| | - Paulo A Lotufo
- Center for Clinical and Epidemiological Research, University Hospital of University of Sao Paulo, Sao Paulo, Brazil
| | - Isabela M Bensenor
- Center for Clinical and Epidemiological Research, University Hospital of University of Sao Paulo, Sao Paulo, Brazil.
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2
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Bourgonje AR, van der Vaart A, Gruppen EG, van Goor H, Bakker SJL, Connelly MA, van Dijk PR, Dullaart RPF. Plasma levels of GlycA, a pro-inflammatory glycoprotein biomarker, associate with an increased risk of microvascular complications in patients with type 2 diabetes (Zodiac-62). Endocrine 2023; 80:312-316. [PMID: 36757630 DOI: 10.1007/s12020-023-03319-5] [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] [Received: 01/10/2023] [Accepted: 01/29/2023] [Indexed: 02/10/2023]
Abstract
PURPOSE GlycA, a pro-inflammatory glycoprotein biomarker, associates with newly developed type 2 diabetes (T2D). We determined the association of plasma GlycA with the development of microvascular complications in patients with established T2D. METHODS Plasma GlycA was measured by nuclear magnetic resonance spectrometry in T2D patients without microvascular complications at baseline (n = 145) participating in a longitudinal cohort study of primary care-treated T2D patients (Zwolle Outpatient Diabetes project Integrating Available Care (ZODIAC) study). Associations of GlycA with incident microvascular complications including nephropathy, retinopathy, and neuropathy, were determined by Cox proportional hazards regression analyses. RESULTS After a median follow-up of 3.2 (interquartile range [IQR]: 2.9-3.4) years, 49 patients (33.8%) developed one or more microvascular complications. Median GlycA levels were 453.5 (IQR: 402.0-512.8) μmol/l. GlycA was associated with incident microvascular complications (hazard ratio [HR] per 1-SD increment: 1.28 [95% confidence interval [CI]:1.00-1.63], P = 0.048]), even after adjustment for potential confounders and high-sensitive C-reactive protein (hs-CRP), HR 1.79 [95%CI:1.25-2.57], P = 0.001). In contrast, hs-CRP levels were not significantly associated with the risk of developing microvascular complications (P = 0.792). CONCLUSION Higher plasma GlycA is associated with an increased risk of developing microvascular complications in T2D patients. Altered N-glycan branching associated with acute-phase reactive proteins may represent a preferred biomarker of systemic low-grade inflammation in predicting diabetic complications.
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Affiliation(s)
- Arno R Bourgonje
- Department of Gastroenterology and Hepatology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
| | - Amarens van der Vaart
- Department of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Eke G Gruppen
- Department of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Harry van Goor
- Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Stephan J L Bakker
- Department of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | | | - Peter R van Dijk
- Department of Internal Medicine, Division of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Robin P F Dullaart
- Department of Internal Medicine, Division of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
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3
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Llauradó G, Amigó N, Fuertes-Martín R, Romero A, Cano A, Albert L, Giménez-Palop O, Berlanga E, Fernández-Veledo S, Correig X, Vendrell J, González-Clemente JM. Measurement of Serum N-Glycans in the Assessment of Early Vascular Aging (Arterial Stiffness) in Adults With Type 1 Diabetes. Diabetes Care 2022; 45:2430-2438. [PMID: 35984043 DOI: 10.2337/dc22-0331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 07/11/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Vascular aging (arterial stiffness [AS]) is an inflammation-linked process that predicts macro- and microvascular complications in adults with type 1 diabetes (T1D). We evaluated the utility of measuring the inflammation-linked N-glycans GlycA and GlycB to assess vascular aging in adults with T1D. RESEARCH DESIGN AND METHODS Eighty-four adults with T1D (>10-year duration without cardiovascular events) and 68 healthy control subjects were evaluated for clinical characteristics (including microvascular complications in patients with T1D), aortic pulse wave velocity (aPWV) (surrogate measure of AS), and serum GlycA and GlycB (peak area [concentration] and height/width [H/W] ratio) using 1H-nuclear magnetic resonance spectroscopy. RESULTS Patients with T1D had higher median (interquartile range) values than healthy control subjects for (P < 0.001 for all comparisons) aPWV 7.9 (6.9-9.1) vs. 6.1 (5.5-6.7) m/s, GlycA 850.4 (781.3-916.1) vs. 652.4 (581.5-727.1) μmoL; GlycB 386.1 (353.2-426.3) vs. 310.0 (280.5-331.9) μmol/L), H/W ratio of GlycA 16.5 (14.9-18.1) vs. 15.0 (13.7-16.7), and H/W ratio of GlycB 5.0 (4.6-5.5) vs. 4.0 (3.4-4.3). Moreover, aPWV correlated (P < 0.001 for all correlations) with GlycA (r = 0.550) and GlycB (r = 0.423) concentrations and with H/W ratios of GlycA (r = 0.453) and GlycB (r = 0.510). Adjusting for potential confounders, GlycA concentration (β = 0.212, P < 0.001) and the H/W ratios of GlycA (β = 0.150, P = 0.009) and GlycB (β = 0.155, P = 0.011) remained independently associated with aPWV. C-statistics for detecting individuals with aPWV >10 m/s were 0.866 (95% CI 0.794-0.937) for GlycA levels and 0.862 (0.780-0.943) for H/W ratio of GlycB. CONCLUSIONS Measurement of serum GlycA and GlycB may have utility in assessing vascular aging in adults with T1D of >10-year duration and no previous cardiovascular events.
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Affiliation(s)
- Gemma Llauradó
- Department of Endocrinology and Nutrition, Hospital del Mar, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Spain.,CIBERDEM, Instituto de Salud Carlos III, Madrid, Spain
| | - Núria Amigó
- CIBERDEM, Instituto de Salud Carlos III, Madrid, Spain.,Biosfer Teslab SL, Reus, Spain.,Department of Basic Medical Sciences, Rovira i Virgili University, Tarragona-Reus, Spain
| | - Rocío Fuertes-Martín
- CIBERDEM, Instituto de Salud Carlos III, Madrid, Spain.,Biosfer Teslab SL, Reus, Spain.,Department of Electronics, Electrical and Automatic Engineering Platform, Pere Virgili Health Research Institute (IISPV), Rovira i Virgili University, Tarragona, Spain
| | - Ana Romero
- Department of Endocrinology and Nutrition, Parc Taulí University Hospital, Institut d'Investigació i Innovació Parc Taulí I3PT, Universitat Autònoma de Barcelona, Sabadell, Spain
| | - Albert Cano
- Department of Endocrinology and Nutrition, Parc Taulí University Hospital, Institut d'Investigació i Innovació Parc Taulí I3PT, Universitat Autònoma de Barcelona, Sabadell, Spain
| | - Lara Albert
- Department of Endocrinology and Nutrition, Parc Taulí University Hospital, Institut d'Investigació i Innovació Parc Taulí I3PT, Universitat Autònoma de Barcelona, Sabadell, Spain
| | - Olga Giménez-Palop
- Department of Endocrinology and Nutrition, Parc Taulí University Hospital, Institut d'Investigació i Innovació Parc Taulí I3PT, Universitat Autònoma de Barcelona, Sabadell, Spain
| | - Eugenio Berlanga
- Clinical Laboratory, Biochemistry Department, UDIAT, Institut d'Investigació i Innovació Parc Taulí I3PT, Universitat Autònoma de Barcelona, Sabadell, Spain
| | - Sonia Fernández-Veledo
- CIBERDEM, Instituto de Salud Carlos III, Madrid, Spain.,Endocrinology and Nutrition Service, Joan XXIII University Hospital, Pere Virgili Health Research Institute (IISPV), Rovira i Virgili University, Tarragona, Spain
| | - Xavier Correig
- CIBERDEM, Instituto de Salud Carlos III, Madrid, Spain.,Department of Electronics, Electrical and Automatic Engineering Platform, Pere Virgili Health Research Institute (IISPV), Rovira i Virgili University, Tarragona, Spain
| | - Joan Vendrell
- CIBERDEM, Instituto de Salud Carlos III, Madrid, Spain.,Endocrinology and Nutrition Service, Joan XXIII University Hospital, Pere Virgili Health Research Institute (IISPV), Rovira i Virgili University, Tarragona, Spain
| | - José-Miguel González-Clemente
- CIBERDEM, Instituto de Salud Carlos III, Madrid, Spain.,Department of Endocrinology and Nutrition, Parc Taulí University Hospital, Institut d'Investigació i Innovació Parc Taulí I3PT, Universitat Autònoma de Barcelona, Sabadell, Spain
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Nitschke P, Lodge S, Kimhofer T, Masuda R, Bong SH, Hall D, Schäfer H, Spraul M, Pompe N, Diercks T, Bernardo-Seisdedos G, Mato JM, Millet O, Susic D, Henry A, El-Omar EM, Holmes E, Lindon JC, Nicholson JK, Wist J. J-Edited DIffusional Proton Nuclear Magnetic Resonance Spectroscopic Measurement of Glycoprotein and Supramolecular Phospholipid Biomarkers of Inflammation in Human Serum. Anal Chem 2022; 94:1333-1341. [DOI: 10.1021/acs.analchem.1c04576] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Affiliation(s)
- Philipp Nitschke
- Australian National Phenome Centre and Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, Western Australia 6150, Australia
| | - Samantha Lodge
- Australian National Phenome Centre and Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, Western Australia 6150, Australia
| | - Torben Kimhofer
- Australian National Phenome Centre and Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, Western Australia 6150, Australia
| | - Reika Masuda
- Australian National Phenome Centre and Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, Western Australia 6150, Australia
| | - Sze-How Bong
- Australian National Phenome Centre and Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, Western Australia 6150, Australia
| | - Drew Hall
- Australian National Phenome Centre and Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, Western Australia 6150, Australia
| | - Hartmut Schäfer
- Bruker Biospin GmbH, Silberstreifen, 76287, Rheinstetten 76287, Germany
| | - Manfred Spraul
- Bruker Biospin GmbH, Silberstreifen, 76287, Rheinstetten 76287, Germany
| | - Niels Pompe
- Bruker Biospin GmbH, Silberstreifen, 76287, Rheinstetten 76287, Germany
| | - Tammo Diercks
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, Parque Tecnológico de Bizkaia, Bld. 800, 48160, Derio 48160, Spain
| | - Ganeko Bernardo-Seisdedos
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, Parque Tecnológico de Bizkaia, Bld. 800, 48160, Derio 48160, Spain
| | - José M. Mato
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, Parque Tecnológico de Bizkaia, Bld. 800, 48160, Derio 48160, Spain
| | - Oscar Millet
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, Parque Tecnológico de Bizkaia, Bld. 800, 48160, Derio 48160, Spain
| | - Daniella Susic
- School of Women’s and Children’s Health, University of New South Wales, Sydney, New South Wales 2052, Australia
- UNSW Microbiome Research Centre, St George Hospital, Kogarah, New South Wales 2217, Australia
| | - Amanda Henry
- School of Women’s and Children’s Health, University of New South Wales, Sydney, New South Wales 2052, Australia
- UNSW Microbiome Research Centre, St George Hospital, Kogarah, New South Wales 2217, Australia
| | - Emad M El-Omar
- Microbiome Research Centre, St George & Sutherland Clinical School, University of New South Wales, Sydney, New South Wales 2052, Australia
| | - Elaine Holmes
- Australian National Phenome Centre and Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, Western Australia 6150, Australia
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, Sir Alexander Fleming Building, South Kensington, London SW7 2AZ, U.K
| | - John C. Lindon
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, Sir Alexander Fleming Building, South Kensington, London SW7 2AZ, U.K
| | - Jeremy K. Nicholson
- Australian National Phenome Centre and Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, Western Australia 6150, Australia
- Institute of Global Health Innovation Faculty of Medicine, Imperial College London, Level 1, Faculty Building, South Kensington Campus, London SW7 2NA, U.K
| | - Julien Wist
- Australian National Phenome Centre and Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, Western Australia 6150, Australia
- Chemistry Department, Universidad del Valle, Cali 76001, Colombia
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5
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Nitschke P, Lodge S, Hall D, Schaefer H, Spraul M, Embade N, Millet O, Holmes E, Wist J, Nicholson JK. Direct low field J-edited diffusional proton NMR spectroscopic measurement of COVID-19 inflammatory biomarkers in human serum. Analyst 2022; 147:4213-4221. [DOI: 10.1039/d2an01097f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
A JEDI NMR pulse experiment incorporating relaxation, diffusion and J-modulation peak editing was implemented at a low field (80 MHz) spectrometer system to quantify two recently discovered plasma markers of SARS-CoV-2 infection and general inflammation.
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Affiliation(s)
- Philipp Nitschke
- Australian National Phenome Centre and Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA6150, Australia
| | - Samantha Lodge
- Australian National Phenome Centre and Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA6150, Australia
| | - Drew Hall
- Australian National Phenome Centre and Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA6150, Australia
| | - Hartmut Schaefer
- Bruker Biospin GmbH, Rudolf-Plank Strasse 23, 76275 Ettlingen, Germany
| | - Manfred Spraul
- Bruker Biospin GmbH, Rudolf-Plank Strasse 23, 76275 Ettlingen, Germany
| | - Nieves Embade
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, Parque Tecnológico de Bizkaia, Bld. 800, 48160, Derio, Spain
| | - Oscar Millet
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, Parque Tecnológico de Bizkaia, Bld. 800, 48160, Derio, Spain
| | - Elaine Holmes
- Australian National Phenome Centre and Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA6150, Australia
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, Sir Alexander Fleming Building, South Kensington, London SW7 2AZ, UK
| | - Julien Wist
- Australian National Phenome Centre and Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA6150, Australia
- Chemistry Department, Universidad del Valle, Cali 76001, Colombia
| | - Jeremy K. Nicholson
- Australian National Phenome Centre and Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA6150, Australia
- Institute of Global Health Innovation, Faculty of Medicine, Imperial College London, Level 1, Faculty Building, South Kensington Campus, London, SW7 2NA, UK
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Glycosylation and Cardiovascular Diseases. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1325:307-319. [PMID: 34495542 DOI: 10.1007/978-3-030-70115-4_15] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Cardiovascular disease (CVD) is the leading cause of death worldwide, accounting for approximately 18 million deaths in 2017. Coronary artery disease is the predominant cause of death from CVD, followed by stroke. Owing to recent technological advancements, glycans and glycosylation patterns of proteins have been investigated in association with CVD risk factors and clinical events. These studies have found significant associations of glycans as biomarkers of systemic inflammation and major CVD risk factors and events. While more limited, studies have also shown that glycans may be useful for monitoring response to anti-inflammatory therapies and may be responsive to changes in lifestyle, particularly in patients with chronic inflammatory diseases. Glycans capture summative risk information related to inflammatory, immune, and signaling pathways and are promising biomarkers for CVD risk prediction and therapeutic monitoring.
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7
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Hustad KS, Rundblad A, Ottestad I, Christensen JJ, Holven KB, Ulven SM. Comprehensive lipid and metabolite profiling in healthy adults with low and high consumption of fatty fish: a cross-sectional study. Br J Nutr 2021; 125:1034-1042. [PMID: 32594945 DOI: 10.1017/s0007114520002305] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Fish consumption is associated with reduced risk of CVD, which may be partly mediated by alterations in plasma lipids, such as HDL-cholesterol. However, comprehensive analyses of associations between fatty fish consumption and lipoprotein subclass profile are limited and show inconsistent results. Therefore, the aim of the present exploratory study was to investigate the association between fatty fish consumption and lipoprotein subclass particle concentrations and composition, with an emphasis on HDL. We performed a comprehensive plasma metabolite profiling in 517 healthy adults, using a targeted high-throughput NMR spectroscopy platform. The participants were divided into tertiles based on consumption of fatty fish, reported through a validated FFQ. We compared the concentration of metabolites between the participants in the lowest and highest tertiles of fatty fish consumption. We show that high consumers of fatty fish (>223 g/week, median intake 294 g/week) had higher particle concentrations and content of total lipids, free cholesterol and phospholipids in large and extra-large HDL particles and higher content of total cholesterol, cholesteryl esters and TAG in large HDL particles than low consumers (<107 g/week, median intake 58 g/week). Using fatty fish consumption as a continuous variable, we found that fatty fish consumption was associated with lower levels of the inflammation marker glycoprotein acetyls. In conclusion, high consumers of fatty fish seem to have a more favourable HDL-cholesterol-related lipoprotein profile and anti-inflammatory phenotype than low consumers of fatty fish. Thus, these data support the current Norwegian dietary recommendations for fish consumption regarding CVD risk.
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Affiliation(s)
- K S Hustad
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, PO Box 1046 Blindern, 0317Oslo, Norway
| | - A Rundblad
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, PO Box 1046 Blindern, 0317Oslo, Norway
| | - I Ottestad
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, PO Box 1046 Blindern, 0317Oslo, Norway
| | - J J Christensen
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, PO Box 1046 Blindern, 0317Oslo, Norway
- National Advisory Unit on Familial Hypercholesterolemia, Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, PO Box 4950 Nydalen, 0424Oslo, Norway
| | - K B Holven
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, PO Box 1046 Blindern, 0317Oslo, Norway
- National Advisory Unit on Familial Hypercholesterolemia, Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, PO Box 4950 Nydalen, 0424Oslo, Norway
| | - S M Ulven
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, PO Box 1046 Blindern, 0317Oslo, Norway
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8
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Sokooti S, Flores-Guerrero JL, Kieneker LM, Heerspink HJL, Connelly MA, Bakker SJL, Dullaart RPF. HDL Particle Subspecies and Their Association With Incident Type 2 Diabetes: The PREVEND Study. J Clin Endocrinol Metab 2021; 106:1761-1772. [PMID: 33567068 PMCID: PMC8118359 DOI: 10.1210/clinem/dgab075] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Indexed: 12/29/2022]
Abstract
CONTEXT High-density lipoproteins (HDL) may be protective against type 2 diabetes (T2D) development, but HDL particles vary in size and function, which could lead to differential associations with incident T2D. A newly developed nuclear magnetic resonance (NMR)-derived algorithm provides concentrations for 7 HDL subspecies. OBJECTIVE We aimed to investigate the association of HDL particle subspecies with incident T2D in the general population. METHODS Among 4828 subjects of the Prevention of Renal and Vascular End-Stage Disease (PREVEND) study without T2D at baseline, HDL subspecies with increasing size from H1P to H7P were measured by NMR (LP4 algorithm of the Vantera NMR platform). RESULTS A total of 265 individuals developed T2D (median follow-up of 7.3 years). In Cox regression models, HDL size and H4P (hazard ratio [HR] per 1 SD increase 0.83 [95% CI, 0.69-0.99] and 0.85 [95% CI, 0.75-0.95], respectively) were inversely associated with incident T2D, after adjustment for relevant covariates. In contrast, levels of H2P were positively associated with incident T2D (HR 1.15 [95% CI, 1.01-1.32]). In secondary analyses, associations with large HDL particles and H6P were modified by body mass index (BMI) in such a way that they were particularly associated with a lower risk of incident T2D, in subjects with BMI < 30 kg/m2. CONCLUSION Greater HDL size and lower levels of H4P were associated with a lower risk, whereas higher levels of H2P were associated with a higher risk of developing T2D. In addition, large HDL particles and H6P were inversely associated with T2D in nonobese subjects.
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Affiliation(s)
- Sara Sokooti
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, the Netherlands
- Correspondence: Sara Sokooti Oskooei, MD, Department of Internal Medicine, University Medical Center Groningen, Hanzeplein 1, PO Box 30.001, 9713 GZ Groningen, Netherlands.
| | - Jose L Flores-Guerrero
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, the Netherlands
| | - Lyanne M Kieneker
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, the Netherlands
| | - Hiddo J L Heerspink
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, the Netherlands
| | - Margery A Connelly
- Laboratory Corporation of America® Holdings (LabCorp), Morrisville, NC, USA
| | - Stephan J L Bakker
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, the Netherlands
| | - Robin P F Dullaart
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, the Netherlands
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9
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Alferink LJM, Radjabzadeh D, Erler NS, Vojinovic D, Medina-Gomez C, Uitterlinden AG, de Knegt RJ, Amin N, Ikram MA, Janssen HLA, Kiefte-de Jong JC, Metselaar HJ, van Duijn CM, Kraaij R, Darwish Murad S. Microbiomics, Metabolomics, Predicted Metagenomics, and Hepatic Steatosis in a Population-Based Study of 1,355 Adults. Hepatology 2021; 73:968-982. [PMID: 32530501 DOI: 10.1002/hep.31417] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Revised: 04/15/2020] [Accepted: 05/07/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND AND AIMS Previous small studies have appraised the gut microbiome (GM) in steatosis, but large-scale studies are lacking. We studied the association of the GM diversity and composition, plasma metabolites, predicted functional metagenomics, and steatosis. APPROACH AND RESULTS This is a cross-sectional analysis of the prospective population-based Rotterdam Study. We used 16S ribosomal RNA gene sequencing and determined taxonomy using the SILVA reference database. Alpha diversity and beta diversity were calculated using the Shannon diversity index and Bray-Curtis dissimilarities. Differences were tested across steatosis using permutational multivariate analysis of variance. Hepatic steatosis was diagnosed by ultrasonography. We subsequently selected genera using regularized regression. The functional metagenome was predicted based on the GM using Kyoto Encyclopedia of Genes and Genomes pathways. Serum metabolomics were assessed using high-throughput proton nuclear magnetic resonance. All analyses were adjusted for age, sex, body mass index, alcohol, diet, and proton-pump inhibitors. We included 1,355 participants, of whom 472 had steatosis. Alpha diversity was lower in steatosis (P = 1.1∙10-9 ), and beta diversity varied across steatosis strata (P = 0.001). Lasso selected 37 genera of which three remained significantly associated after adjustment (Coprococcus3: β = -65; Ruminococcus Gauvreauiigroup: β = 62; and Ruminococcus Gnavusgroup: β = 45, Q-value = 0.037). Predicted metagenome analyses revealed that pathways of secondary bile-acid synthesis and biotin metabolism were present, and D-alanine metabolism was absent in steatosis. Metabolic profiles showed positive associations for aromatic and branched chain amino acids and glycoprotein acetyls with steatosis and R. Gnavusgroup, whereas these metabolites were inversely associated with alpha diversity and Coprococcus3. CONCLUSIONS We confirmed, on a large-scale, the lower microbial diversity and association of Coprococcus and Ruminococcus Gnavus with steatosis. We additionally showed that steatosis and alpha diversity share opposite metabolic profiles.
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Affiliation(s)
- Louise J M Alferink
- Department of Gastroenterology and HepatologyErasmus Medical CenterRotterdamthe Netherlands
| | - Djawad Radjabzadeh
- Department of Internal MedicineErasmus Medical CenterRotterdamthe Netherlands
| | - Nicole S Erler
- Department of BiostatisticsErasmus Medical CenterRotterdamthe Netherlands
| | - Dina Vojinovic
- Department of EpidemiologyErasmus Medical CenterRotterdamthe Netherlands
| | | | - André G Uitterlinden
- Department of Internal MedicineErasmus Medical CenterRotterdamthe Netherlands.,Department of EpidemiologyErasmus Medical CenterRotterdamthe Netherlands
| | - Robert J de Knegt
- Department of Gastroenterology and HepatologyErasmus Medical CenterRotterdamthe Netherlands
| | - Najaf Amin
- Department of EpidemiologyErasmus Medical CenterRotterdamthe Netherlands
| | - M Arfan Ikram
- Department of EpidemiologyErasmus Medical CenterRotterdamthe Netherlands
| | - Harry L A Janssen
- Toronto Center of Liver DiseaseToronto General HospitalUniversity Health NetworkTorontoOntarioCanada
| | - Jessica C Kiefte-de Jong
- Department of EpidemiologyErasmus Medical CenterRotterdamthe Netherlands.,Department of Public Health and Primary Care/LUMC Campus The HagueLeiden University Medical CenterLeidenthe Netherlands
| | - Herold J Metselaar
- Department of Gastroenterology and HepatologyErasmus Medical CenterRotterdamthe Netherlands
| | - Cornelia M van Duijn
- Department of EpidemiologyErasmus Medical CenterRotterdamthe Netherlands.,Nuffield Department of Population HealthUniversity of OxfordOxfordUnited Kingdom
| | - Robert Kraaij
- Department of Internal MedicineErasmus Medical CenterRotterdamthe Netherlands
| | - Sarwa Darwish Murad
- Department of Gastroenterology and HepatologyErasmus Medical CenterRotterdamthe Netherlands
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10
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Unione L, Ardá A, Jiménez-Barbero J, Millet O. NMR of glycoproteins: profiling, structure, conformation and interactions. Curr Opin Struct Biol 2020; 68:9-17. [PMID: 33129067 DOI: 10.1016/j.sbi.2020.09.009] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Revised: 09/15/2020] [Accepted: 09/17/2020] [Indexed: 02/07/2023]
Abstract
In glycoproteins, carbohydrates are responsible for the selective interaction and tight regulation of cellular processes, constituting the main information transducer interface in protein-glycoprotein interactions. Increasing experimental and computational evidence suggest that such interactions often induce allosteric changes in the host protein, underlining the importance of studying intact glycoproteins. Technical issues have precluded such studies for years but, nowadays, a promising era is emerging where NMR spectroscopy, among other techniques, allows the characterization of the composition, structure and segmental dynamics of glycoproteins. In this review, we discuss such advances and highlight some selected examples. This novel technology unravels multiple new functional mechanisms, subtly hidden within the sugar code.
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Affiliation(s)
- Luca Unione
- Department of Chemical Biology and Drug Discovery, Utrecht Institute for Pharmaceutical Sciences, and Bijvoet Center for Biomolecular Research, Utrecht University, Universiteitsweg 99, 3584 CG Utrecht, The Netherlands
| | - Ana Ardá
- Molecular Recognition and Host-Pathogen Interactions, CIC bioGUNE, Basque Research and Technology Alliance, BRTA, Bizkaia Technology Park, Building 800, 48162 Derio, Bizkaia, Spain
| | - Jesús Jiménez-Barbero
- Molecular Recognition and Host-Pathogen Interactions, CIC bioGUNE, Basque Research and Technology Alliance, BRTA, Bizkaia Technology Park, Building 800, 48162 Derio, Bizkaia, Spain; Ikerbasque, Basque Foundation for Science, 48013 Bilbao, Bizkaia, Spain
| | - Oscar Millet
- Molecular Recognition and Host-Pathogen Interactions, CIC bioGUNE, Basque Research and Technology Alliance, BRTA, Bizkaia Technology Park, Building 800, 48162 Derio, Bizkaia, Spain.
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11
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Fuertes-Martín R, Correig X, Vallvé JC, Amigó N. Title: Human Serum/Plasma Glycoprotein Analysis by 1H-NMR, an Emerging Method of Inflammatory Assessment. J Clin Med 2020; 9:E354. [PMID: 32012794 PMCID: PMC7073769 DOI: 10.3390/jcm9020354] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Revised: 01/13/2020] [Accepted: 01/17/2020] [Indexed: 12/17/2022] Open
Abstract
Several studies suggest that variations in the concentration of plasma glycoproteins can influence cellular changes in a large number of diseases. In recent years, proton nuclear magnetic resonance (1H-NMR) has played a major role as an analytical tool for serum and plasma samples. In recent years, there is an increasing interest in the characterization of glycoproteins through 1H-NMR in order to search for reliable and robust biomarkers of disease. The objective of this review was to examine the existing studies in the literature related to the study of glycoproteins from an analytical and clinical point of view. There are currently several techniques to characterize circulating glycoproteins in serum or plasma, but in this review, we focus on 1H-NMR due to its great robustness and recent interest in its translation to the clinical setting. In fact, there is already a marker in H-NMR representing the acetyl groups of the glycoproteins, GlycA, which has been increasingly studied in clinical studies. A broad search of the literature was performed showing a general consensus that GlycA is a robust marker of systemic inflammation. The results also suggested that GlycA better captures systemic inflammation even more than C-reactive protein (CRP), a widely used classical inflammatory marker. The applications reviewed here demonstrated that GlycA was potentially a key biomarker in a wide range of diseases such as cancer, metabolic diseases, cardiovascular risk, and chronic inflammatory diseases among others. The profiling of glycoproteins through 1H-NMR launches an encouraging new paradigm for its future incorporation in clinical diagnosis.
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Affiliation(s)
- Rocío Fuertes-Martín
- Biosfer Teslab SL, 43201 Reus, Spain; (R.F.-M.); (N.A.)
- Metabolomic s platform, IISPV, CIBERDEM, Rovira i Virgili University, 43007 Tarragona, Spain
| | - Xavier Correig
- Metabolomic s platform, IISPV, CIBERDEM, Rovira i Virgili University, 43007 Tarragona, Spain
| | - Joan-Carles Vallvé
- Metabolomic s platform, IISPV, CIBERDEM, Rovira i Virgili University, 43007 Tarragona, Spain
- Lipids and Arteriosclerosis Research Unit, Sant Joan de Reus University Hospital, 43201 Reus, Spain
| | - Núria Amigó
- Biosfer Teslab SL, 43201 Reus, Spain; (R.F.-M.); (N.A.)
- Metabolomic s platform, IISPV, CIBERDEM, Rovira i Virgili University, 43007 Tarragona, Spain
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12
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Gruppen EG, Kunutsor SK, Kieneker LM, van der Vegt B, Connelly MA, de Bock GH, Gansevoort RT, Bakker SJL, Dullaart RPF. GlycA, a novel pro-inflammatory glycoprotein biomarker is associated with mortality: results from the PREVEND study and meta-analysis. J Intern Med 2019; 286:596-609. [PMID: 31260573 PMCID: PMC6851697 DOI: 10.1111/joim.12953] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND Chronic diseases are associated with an inflammatory response. We determined the association of two inflammatory markers, GlycA and high-sensitivity C-reactive protein (hsCRP), with overall and cause-specific mortality in a cohort of men and women. METHODS Cox regression analyses were used to examine associations of GlycA and hsCRP with all-cause, cancer and cardiovascular mortality in 5526 subjects (PREVEND cohort; average follow-up 12.6 years). RESULTS GlycA was associated with all-cause mortality (n = 838), independent of clinical risk factors and hsCRP (hazard ratio 1.43 [95% confidence interval (CI): 1.09-1.87] for top versus bottom quartiles). For hsCRP, the association with all-cause mortality was nonsignificant after adjustment for GlycA. GlycA and hsCRP were associated with cancer mortality in men (n = 248), but not in women (n = 132). Neither GlycA nor hsCRP was independently associated with cardiovascular mortality (n = 201). In a meta-analysis of seven population-based studies, including 8153 deaths, the pooled multivariable-adjusted relative risk of GlycA for all-cause mortality was 1.74 (95% CI: 1.40-2.17) for top versus bottom quartiles. The association of GlycA with all-cause mortality was somewhat stronger than that of hsCRP. GlycA and hsCRP were not independently associated with cardiovascular mortality. The associations of GlycA and hsCRP with cancer mortality were present in men, but not in women. CONCLUSIONS GlycA is significantly associated with all-cause mortality. GlycA and hsCRP were each not independently associated with cardiovascular mortality. The association of GlycA and hsCRP with cancer mortality appears to be driven by men.
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Affiliation(s)
- E G Gruppen
- Division of Nephrology, Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.,Division of Endocrinology, Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - S K Kunutsor
- National Institute for Health Research Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, UK.,Translational Health Sciences, Musculoskeletal Research Unit, Bristol Medical School, Southmead Hospital, University of Bristol, Bristol, UK
| | - L M Kieneker
- Division of Nephrology, Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - B van der Vegt
- Division of Pathology, Department of Pathology and Medical Biology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - M A Connelly
- Laboratory Corporation of America® Holdings (LabCorp), Morrisville, NC, USA
| | - G H de Bock
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - R T Gansevoort
- Division of Nephrology, Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - S J L Bakker
- Division of Nephrology, Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - R P F Dullaart
- Division of Endocrinology, Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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13
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High Betaine, a Trimethylamine N-Oxide Related Metabolite, Is Prospectively Associated with Low Future Risk of Type 2 Diabetes Mellitus in the PREVEND Study. J Clin Med 2019; 8:jcm8111813. [PMID: 31683780 PMCID: PMC6912391 DOI: 10.3390/jcm8111813] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Revised: 10/25/2019] [Accepted: 10/29/2019] [Indexed: 12/17/2022] Open
Abstract
Background: Gut microbiota-related metabolites, trimethylamine-N-oxide (TMAO), choline, and betaine, have been shown to be associated with cardiovascular disease (CVD) risk. Moreover, lower plasma betaine concentrations have been reported in subjects with type 2 diabetes mellitus (T2DM). However, few studies have explored the association of betaine with incident T2DM, especially in the general population. The goals of this study were to evaluate the performance of a newly developed betaine assay and to prospectively explore the potential clinical associations of betaine and future risk of T2DM in a large population-based cohort. Methods: We developed a high-throughput, nuclear magnetic resonance (NMR) spectroscopy procedure for acquiring spectra that allow for the accurate quantification of plasma/serum betaine and TMAO. Assay performance for betaine quantification was assessed and Cox proportional hazards regression was employed to evaluate the association of betaine with incident T2DM in 4336 participants in the Prevention of Renal and Vascular End-Stage Disease (PREVEND) study. Results: Betaine assay results were linear (y = 1.02X − 3.75) over a wide range of concentrations (26.0–1135 µM). The limit of blank (LOB), limit of detection (LOD) and limit of quantitation (LOQ) were 6.4, 8.9, and 13.2 µM, respectively. Coefficients of variation for intra- and inter-assay precision ranged from 1.5–4.3% and 2.5–5.5%, respectively. Deming regression analysis of results produced by NMR and liquid chromatography coupled to tandem mass spectrometry(LC-MS/MS) revealed an R2 value of 0.94 (Y = 1.08x – 1.89) and a small bias for higher values by NMR. The reference interval, in a cohort of apparently healthy adult participants (n = 501), was determined to be 23.8 to 74.7 µM (mean of 42.9 ± 12.6 µM). In the PREVEND study (n = 4336, excluding subjects with T2DM at baseline), higher betaine was associated with older age and lower body mass index, total cholesterol, triglycerides, and hsCRP. During a median follow-up of 7.3 (interquartile range (IQR), 5.9–7.7) years, 224 new T2DM cases were ascertained. Cox proportional hazards regression models revealed that the highest tertile of betaine was associated with a lower incidence of T2DM. Hazard ratio (HR) for the crude model was 0.61 (95% CI: 0.44–0.85, p = 0.004). The association remained significant even after adjusting for multiple clinical covariates and T2DM risk factors, including fasting glucose. HR for the fully-adjusted model was 0.50 (95% CI: 0.32–0.80, p = 0.003). Conclusions: The newly developed NMR-based betaine assay exhibits performance characteristics that are consistent with usage in the clinical laboratory. Betaine levels may be useful for assessing the risk of future T2DM.
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14
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Ribaldone DG, Pellicano R, Actis GC. Inflammation in gastrointestinal disorders: prevalent socioeconomic factors. Clin Exp Gastroenterol 2019; 12:321-329. [PMID: 31410046 PMCID: PMC6650093 DOI: 10.2147/ceg.s210844] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Accepted: 06/24/2019] [Indexed: 12/22/2022] Open
Abstract
Western populations harbor a chronic inflammation pattern that lacks organ cardinal signs (edema, increased temperature, pain, and impaired function), releases increased levels of C-reactive protein, and often runs a creeping clinical course with generalized debilitating disease superimposed on system-specific involvement, mostly including nervous tissue (multiple sclerosis, Parkinson’s syndromes), joints (arthritis), and skin (psoriasis). A finalistic interpretation may apply to the consideration of the gut as the source of inflammation. In fact, these kind of local events as well as the remote manifestations named above, could be conditioned by the microbiome, the huge cell population indwelling the gut which is under growing scrutiny. The role of the gut as a barrier organ justifies lingering submucosal inflammation as a patrolling activity to maintain bodily integrity; the microbiome, launching inflammogenic signals in response to abrupt diet changes, confers to gut inflammation a socioeconomic vector calling for hitherto unrecognized multi-disciplinary interventions. ![]()
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Affiliation(s)
| | - Rinaldo Pellicano
- Unit of Gastroenterology, Molinette-San Giovanni Antica Sede (SGAS) Hospital, Turin, Italy
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15
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Involvement of circulating inflammatory factors in prognosis and risk of cardiovascular disease. J Mol Cell Cardiol 2019; 132:110-119. [DOI: 10.1016/j.yjmcc.2019.05.010] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Revised: 05/09/2019] [Accepted: 05/12/2019] [Indexed: 12/11/2022]
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