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Shao F, Hu J, Zhang P, Akarapipad P, Park JS, Lei H, Hsieh K, Wang TH. Enhanced CRISPR/Cas-Based Immunoassay through Magnetic Proximity Extension and Detection. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.09.06.24313206. [PMID: 39314939 PMCID: PMC11419220 DOI: 10.1101/2024.09.06.24313206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/25/2024]
Abstract
Clustered regularly interspaced short palindromic repeats (CRISPR)/Cas-associated systems have recently emerged as a focal point for developing next-generation molecular diagnosis, particularly for nucleic acid detection. However, the detection of proteins is equally critical across diverse applications in biology, medicine, and the food industry, especially for diagnosing and prognosing diseases like cancer, Alzheimer's and cardiovascular conditions. Despite recent efforts to adapt CRISPR/Cas systems for protein detection with immunoassays, these methods typically achieved sensitivity only in the femtomolar to picomolar range, underscoring the need for enhanced detection capabilities. To address this, we developed CRISPR-AMPED, an innovative CRISPR/Cas-based immunoassay enhanced by magnetic proximity extension and detection. This approach combines proximity extension assay (PEA) with magnetic beads that converts protein into DNA barcodes for quantification with effective washing steps to minimize non-specific binding and hybridization, therefore reducing background noise and increasing detection sensitivity. The resulting DNA barcodes are then detected through isothermal nucleic acid amplification testing (NAAT) using recombinase polymerase amplification (RPA) coupled with the CRISPR/Cas12a system, replacing the traditional PCR. This integration eliminates the need for thermocycling and bulky equipment, reduces amplification time, and provides simultaneous target and signal amplification, thereby significantly boosting detection sensitivity. CRISPR-AMPED achieves attomolar level sensitivity, surpassing ELISA by over three orders of magnitude and outperforming existing CRISPR/Cas-based detection systems. Additionally, our smartphone-based detection device demonstrates potential for point-of-care applications, and the digital format extends dynamic range and enhances quantitation precision. We believe CRISPR-AMPED represents a significant advancement in the field of protein detection.
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Chao TH, Lin TH, Cheng CI, Wu YW, Ueng KC, Wu YJ, Lin WW, Leu HB, Cheng HM, Huang CC, Wu CC, Lin CF, Chang WT, Pan WH, Chen PR, Ting KH, Su CH, Chu CS, Chien KL, Yen HW, Wang YC, Su TC, Liu PY, Chang HY, Chen PW, Juang JMJ, Lu YW, Lin PL, Wang CP, Ko YS, Chiang CE, Hou CJY, Wang TD, Lin YH, Huang PH, Chen WJ. 2024 Guidelines of the Taiwan Society of Cardiology on the Primary Prevention of Atherosclerotic Cardiovascular Disease --- Part I. ACTA CARDIOLOGICA SINICA 2024; 40:479-543. [PMID: 39308649 PMCID: PMC11413940 DOI: 10.6515/acs.202409_40(5).20240724a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Accepted: 07/24/2024] [Indexed: 09/25/2024]
Abstract
Atherosclerotic cardiovascular disease (ASCVD) is one of the leading causes of death worldwide and in Taiwan. It is highly prevalent and has a tremendous impact on global health. Therefore, the Taiwan Society of Cardiology developed these best-evidence preventive guidelines for decision-making in clinical practice involving aspects of primordial prevention including national policies, promotion of health education, primary prevention of clinical risk factors, and management and control of clinical risk factors. These guidelines cover the full spectrum of ASCVD, including chronic coronary syndrome, acute coronary syndrome, cerebrovascular disease, peripheral artery disease, and aortic aneurysm. In order to enhance medical education and health promotion not only for physicians but also for the general public, we propose a slogan (2H2L) for the primary prevention of ASCVD on the basis of the essential role of healthy dietary pattern and lifestyles: "Healthy Diet and Healthy Lifestyles to Help Your Life and Save Your Lives". We also propose an acronym of the modifiable risk factors/enhancers and relevant strategies to facilitate memory: " ABC2D2EFG-I'M2 ACE": Adiposity, Blood pressure, Cholesterol and Cigarette smoking, Diabetes mellitus and Dietary pattern, Exercise, Frailty, Gout/hyperuricemia, Inflammation/infection, Metabolic syndrome and Metabolic dysfunction-associated fatty liver disease, Atmosphere (environment), Chronic kidney disease, and Easy life (sleep well and no stress). Some imaging studies can be risk enhancers. Some risk factors/clinical conditions are deemed to be preventable, and healthy dietary pattern, physical activity, and body weight control remain the cornerstone of the preventive strategy.
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Affiliation(s)
- Ting-Hsing Chao
- Division of Cardiology, Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan
- Division of Cardiology, Department of Internal Medicine, Chung-Shan Medical University Hospital; School of Medicine, Chung Shan Medical University, Taichung
| | - Tsung-Hsien Lin
- Division of Cardiology, Department of Internal Medicine Kaohsiung Medical University Hospital
- Faculty of Medicine and Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University
| | - Cheng-I Cheng
- Division of Cardiology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung; School of Medicine, College of Medicine, Chang Gung University, Taoyuan
| | - Yen-Wen Wu
- Division of Cardiology, Cardiovascular Medical Center, Far Eastern Memorial Hospital, New Taipei City
- School of Medicine, National Yang Ming Chiao Tung University, Taipei
- Graduate Institute of Medicine, Yuan Ze University, Taoyuan
| | - Kwo-Chang Ueng
- Division of Cardiology, Department of Internal Medicine, Chung-Shan Medical University Hospital; School of Medicine, Chung Shan Medical University, Taichung
| | - Yih-Jer Wu
- Department of Medicine and Institute of Biomedical Sciences, MacKay Medical College, New Taipei City
- Cardiovascular Center, Department of Internal Medicine, MacKay Memorial Hospital, Taipei
| | - Wei-Wen Lin
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung
| | - Hsing-Ban Leu
- School of Medicine, National Yang Ming Chiao Tung University, Taipei
- Cardiovascular Research Center, National Yang Ming Chiao Tung University
- Healthcare and Management Center
- Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital
| | - Hao-Min Cheng
- Ph.D. Program of Interdisciplinary Medicine (PIM), National Yang Ming Chiao Tung University College of Medicine; Division of Faculty Development; Center for Evidence-based Medicine, Taipei Veterans General Hospital; Institute of Public Health; Institute of Health and Welfare Policy, National Yang Ming Chiao Tung University College of Medicine
| | - Chin-Chou Huang
- School of Medicine, National Yang Ming Chiao Tung University, Taipei
- Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital
- Institute of Pharmacology, National Yang Ming Chiao Tung University, Taipei
| | - Chih-Cheng Wu
- Center of Quality Management, National Taiwan University Hospital Hsinchu Branch, Hsinchu; College of Medicine, National Taiwan University, Taipei; Institute of Biomedical Engineering, National Tsing-Hua University, Hsinchu; Institute of Cellular and System Medicine, National Health Research Institutes, Zhunan
| | - Chao-Feng Lin
- Department of Medicine, MacKay Medical College, New Taipei City; Department of Cardiology, MacKay Memorial Hospital, Taipei
| | - Wei-Ting Chang
- School of Medicine and Doctoral Program of Clinical and Experimental Medicine, College of Medicine and Center of Excellence for Metabolic Associated Fatty Liver Disease, National Sun Yat-sen University, Kaohsiung; Division of Cardiology, Department of Internal Medicine, Chi Mei Medical Center, Tainan
| | - Wen-Han Pan
- Institute of Biomedical Sciences, Academia Sinica, Taipei; Institute of Population Health Sciences, National Health Research Institutes, Miaoli; and Institute of Biochemistry and Biotechnology, National Taiwan University
| | - Pey-Rong Chen
- Department of Dietetics, National Taiwan University Hospital, Taipei
| | - Ke-Hsin Ting
- Division of Cardiology, Department of Internal Medicine, Yunlin Christian Hospital, Yunlin
| | - Chun-Hung Su
- Division of Cardiology, Department of Internal Medicine, Chung-Shan Medical University Hospital; School of Medicine, Chung Shan Medical University, Taichung
| | - Chih-Sheng Chu
- Division of Cardiology, Department of Internal Medicine, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung
| | - Kuo-Liong Chien
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University; Department of Internal Medicine, National Taiwan University Hospital and College of Medicine; Population Health Research Center, National Taiwan University, Taipei
| | - Hsueh-Wei Yen
- Division of Cardiology, Department of Internal Medicine Kaohsiung Medical University Hospital
| | - Yu-Chen Wang
- Division of Cardiology, Asia University Hospital; Department of Medical Laboratory Science and Biotechnology, Asia University; Division of Cardiology, China Medical University College of Medicine and Hospital, Taichung
| | - Ta-Chen Su
- Cardiovascular Center, Department of Internal Medicine, National Taiwan University Hospital
- Department of Environmental and Occupational Medicine, National Taiwan University College of Medicine
| | - Pang-Yen Liu
- Division of Cardiology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center
| | - Hsien-Yuan Chang
- Division of Cardiology, Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan
| | - Po-Wei Chen
- Division of Cardiology, Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan
| | - Jyh-Ming Jimmy Juang
- Heart Failure Center and Division of Cardiology, Department of Internal Medicine, National Taiwan University College of Medicine, and National Taiwan University Hospital
| | - Ya-Wen Lu
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung
- Cardiovascular Research Center, National Yang Ming Chiao Tung University
- Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei
| | - Po-Lin Lin
- Division of Cardiology, Department of Internal Medicine, Hsinchu MacKay Memorial Hospital, Hsinchu
| | - Chao-Ping Wang
- Division of Cardiology, E-Da Hospital; School of Medicine for International Students, College of Medicine, I-Shou University, Kaohsiung
| | - Yu-Shien Ko
- Cardiovascular Division, Chang Gung Memorial Hospital; College of Medicine, Chang Gung University, Taoyuan
| | - Chern-En Chiang
- General Clinical Research Center and Division of Cardiology, Taipei Veterans General Hospital and National Yang Ming Chiao Tung University
| | - Charles Jia-Yin Hou
- Cardiovascular Center, Department of Internal Medicine, MacKay Memorial Hospital, Taipei
| | - Tzung-Dau Wang
- Cardiovascular Center and Divisions of Hospital Medicine and Cardiology, Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine
| | - Yen-Hung Lin
- Division of Cardiology, Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei
| | - Po-Hsun Huang
- Cardiovascular Research Center, National Yang Ming Chiao Tung University
- Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital
| | - Wen-Jone Chen
- Department of Internal Medicine, Min-Sheng General Hospital, Taoyuan; Department of Internal Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
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Lv L, Guo Y, Zheng Z, Li B. Blood metabolites mediate effects of breakfast skipping on heart failure via Mendelian randomization analysis. Sci Rep 2024; 14:18957. [PMID: 39147796 PMCID: PMC11327247 DOI: 10.1038/s41598-024-69874-7] [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: 04/03/2024] [Accepted: 08/09/2024] [Indexed: 08/17/2024] Open
Abstract
Numerous observational studies have suggested a potential causal relationship between skipping breakfast and cardiovascular diseases, including heart failure (HF). However, these studies are susceptible to inherent confounders and the challenge of reverse causation, and the underlying metabolic factors are not yet clear. Therefore, our aim is to assess the causal impact of breakfast skipping on HF and the role of potential mediating metabolic products from a genetic perspective, by conducting Mendelian Randomization (MR) studies and mediation analysis. We leveraged summary data from the most extensive genome-wide association studies to date on breakfast skipping (with 193,860 participants), blood metabolites (with 118,461 participants), and HF (involving 47,309 cases and 930,014 controls). To explore the causal relationship between breakfast skipping and HF, as well as the role of 249 potential blood metabolite mediators, we conducted bidirectional MR and mediation MR analyses. We primarily employed the Inverse Variance Weighted (IVW) method, complemented by various other techniques to ensure the comprehensiveness and reliability of our analysis. Our research confirms a causal association between breakfast skipping and an increased risk of HF (odds ratio [OR]: 1.378, 95% confidence interval [CI]: 1.047-1.813; p = 0.022). Furthermore, our research findings demonstrate that breakfast skipping is positively correlated with 6 blood metabolites and negatively correlated with 2 others. Notably, our mediation MR analysis further reveals that three blood metabolites act as mediators in the relationship between breakfast skipping and the risk of HF. Specifically, the mediating effects are attributed to the ratio of docosahexaenoic acid (DHA) to total fatty acids (proportion mediated = 9.41%, 95% CI: 2.10-28.61%), glucose (proportion mediated = 6.17%, 95% CI: 0.97-28.53%), and glycoprotein acetyls (GlycA) (proportion mediated = 5.68%, 95% CI: 0.94-21.62%). The combined mediating effects of these three factors total 20.53% (95%CI: 8.59-91.06%). Our research confirms the causal relationship between genetically instrumented breakfast skipping and HF, underscoring the potential mediating roles played by three key blood metabolites: ratio of DHA to total fatty acids, glucose and GlycA. This discovery offers valuable perspectives for clinical strategies targeting HF.
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Affiliation(s)
- Luo Lv
- Department of Cardiology, The Second Hospital of Shanxi Medical University, School of Medicine, Shanxi Medical University, Taiyuan, China
| | - Yuli Guo
- Department of Cardiology, The Frist Hospital of Shanxi Medical University, School of Medicine, Shanxi Medical University, Taiyuan, China
| | - Zhongyi Zheng
- Department of Urology, The First Hospital of Shanxi Medical University, School of Medicine, Shanxi Medical University, Taiyuan, China
| | - Bao Li
- Department of Cardiology, The Second Hospital of Shanxi Medical University, School of Medicine, Shanxi Medical University, Taiyuan, China.
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Chatham JC, Patel RP. Protein glycosylation in cardiovascular health and disease. Nat Rev Cardiol 2024; 21:525-544. [PMID: 38499867 DOI: 10.1038/s41569-024-00998-z] [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] [Accepted: 02/13/2024] [Indexed: 03/20/2024]
Abstract
Protein glycosylation, which involves the attachment of carbohydrates to proteins, is one of the most abundant protein co-translational and post-translational modifications. Advances in technology have substantially increased our knowledge of the biosynthetic pathways involved in protein glycosylation, as well as how changes in glycosylation can affect cell function. In addition, our understanding of the role of protein glycosylation in disease processes is growing, particularly in the context of immune system function, infectious diseases, neurodegeneration and cancer. Several decades ago, cell surface glycoproteins were found to have an important role in regulating ion transport across the cardiac sarcolemma. However, with very few exceptions, our understanding of how changes in protein glycosylation influence cardiovascular (patho)physiology remains remarkably limited. Therefore, in this Review, we aim to provide an overview of N-linked and O-linked protein glycosylation, including intracellular O-linked N-acetylglucosamine protein modification. We discuss our current understanding of how all forms of protein glycosylation contribute to normal cardiovascular function and their roles in cardiovascular disease. Finally, we highlight potential gaps in our knowledge about the effects of protein glycosylation on the heart and vascular system, highlighting areas for future research.
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Affiliation(s)
- John C Chatham
- Division of Molecular and Cellular Pathology, Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, USA.
| | - Rakesh P Patel
- Division of Molecular and Cellular Pathology, Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, USA
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Alateeq K, Walsh EI, Ambikairajah A, Cherbuin N. Association between dietary magnesium intake, inflammation, and neurodegeneration. Eur J Nutr 2024; 63:1807-1818. [PMID: 38597977 PMCID: PMC11329609 DOI: 10.1007/s00394-024-03383-1] [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: 06/08/2023] [Accepted: 03/29/2024] [Indexed: 04/11/2024]
Abstract
BACKGROUND Consistent evidence shows that magnesium (Mg) intake is associated with lower blood pressure (BP), and that lower BP is associated with improved cerebral health. However, recent findings indicate that the positive effect of dietary Mg intake on cerebral health is not mediated by a decrease in BP. As Mg's anti-inflammatory action is a plausible alternative mechanism, the objective of this study was to investigate the associations between Mg intake and inflammation to determine whether it mediates any neuroprotective effect. METHODS Participants from the UK Biobank (n = 5775, aged 40-73 years, 54.7% female) were assessed for dietary magnesium using an online food questionnaire, brain and white matter lesion (WML) volumes were segmented with FreeSurfer software, and inflammation markers including high-sensitivity C-reactive protein (hs-CRP), leukocyte, erythrocyte count, and Glycoprotein acetylation (GlycA) were measured using specific laboratory techniques such as immunoturbidimetry, automated cell counting, and nuclear magnetic resonance. Hierarchical linear regression models were performed to investigate the association between dietary Mg, and inflammatory markers and between dietary Mg, brain and WMLs volumes. Mediation analysis was performed to test a possible mediation role of inflammation on the association between dietary Mg and brain and WMLs volumes. RESULTS Higher dietary Mg intake was associated with lower inflammation: hs-CRP level (- 0.0497%; 95% confidence interval [CI] - 0.0497%, - 0.0199%) leukocytes count (- 0.0015%; 95%CI - 0.00151%, - 0.0011%), and GlycA (- 0.0519%; 95%CI - 0.1298%, - 0.0129%). Moreover, higher dietary Mg intake was associated with larger grey matter volume (0.010%; 95%CI 0.004%, 0.017%), white matter volume (0.012%; 95%CI 0.003, 0.022) and right hippocampal volume (0.002%; 95%CI 0.0007, -0.0025%). Lower hs-CRP levels mediated the positive association between higher dietary Mg intake and larger grey matter volume. CONCLUSIONS The anti-inflammatory effects of dietary Mg intake in the general population, appears to mediate its neuroprotective effect.
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Affiliation(s)
- Khawlah Alateeq
- National Centre for Epidemiology and Population Health, Australian National University, 54 Mills Road, Canberra, ACT, 2601, Australia.
- Radiological Science, College of Applied Medical Science, King Saud University, Riyadh, Saudi Arabia.
| | - Erin I Walsh
- National Centre for Epidemiology and Population Health, Australian National University, 54 Mills Road, Canberra, ACT, 2601, Australia
| | - Ananthan Ambikairajah
- National Centre for Epidemiology and Population Health, Australian National University, 54 Mills Road, Canberra, ACT, 2601, Australia
- Discipline of Psychology, Faculty of Health, University of Canberra, Canberra, ACT, 2617, Australia
- Centre for Ageing Research and Translation, Faculty of Health, University of Canberra, Canberra, 2617, Australia
| | - Nicolas Cherbuin
- National Centre for Epidemiology and Population Health, Australian National University, 54 Mills Road, Canberra, ACT, 2601, Australia
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Hoshi RA, Alotaibi M, Liu Y, Watrous JD, Ridker PM, Glynn RJ, Serhan CN, Luttmann-Gibson H, Moorthy MV, Jain M, Demler OV, Mora S. One-Year Effects of High-Intensity Statin on Bioactive Lipids: Findings From the JUPITER Trial. Arterioscler Thromb Vasc Biol 2024; 44:e196-e206. [PMID: 38841856 PMCID: PMC11209760 DOI: 10.1161/atvbaha.124.321058] [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: 04/08/2024] [Accepted: 05/22/2024] [Indexed: 06/07/2024]
Abstract
BACKGROUND Statin effects extend beyond low-density lipoprotein cholesterol reduction, potentially modulating the metabolism of bioactive lipids (BALs), crucial for biological signaling and inflammation. These bioactive metabolites may serve as metabolic footprints, helping uncover underlying processes linked to pleiotropic effects of statins and yielding a better understanding of their cardioprotective properties. This study aimed to investigate the impact of high-intensity statin therapy versus placebo on plasma BALs in the JUPITER trial (Justification for the Use of Statins in Prevention: an Intervention Trial Evaluating Rosuvastatin; NCT00239681), a randomized primary prevention trial involving individuals with low-density lipoprotein cholesterol <130 mg/dL and high-sensitivity C-reactive protein ≥2 mg/L. METHODS Using a nontargeted mass spectrometry approach, over 11 000 lipid features were assayed from baseline and 1-year plasma samples from cardiovascular disease noncases from 2 nonoverlapping nested substudies: JUPITERdiscovery (n=589) and JUPITERvalidation (n=409). The effect of randomized allocation of rosuvastatin 20 mg versus placebo on BALs was examined by fitting a linear regression with delta values (∆=year 1-baseline) adjusted for age and baseline levels of each feature. Significant associations in discovery were analyzed in the validation cohort. Multiple comparisons were adjusted using 2-stage overall false discovery rate. RESULTS We identified 610 lipid features associated with statin randomization with significant replication (overall false discovery rate, <0.05), including 26 with annotations. Statin therapy significantly increased levels of 276 features, including BALs with anti-inflammatory activity and arterial vasodilation properties. Concurrently, 334 features were significantly lowered by statin therapy, including arachidonic acid and proinflammatory and proplatelet aggregation BALs. By contrast, statin therapy reduced an eicosapentaenoic acid-derived hydroxyeicosapentaenoic acid metabolite, which may be related to impaired glucose metabolism. Additionally, we observed sex-related differences in 6 lipid metabolites and 6 unknown features. CONCLUSIONS Statin allocation was significantly associated with upregulation of BALs with anti-inflammatory, antiplatelet aggregation and antioxidant properties and downregulation of BALs with proinflammatory and proplatelet aggregation activity, supporting the pleiotropic effects of statins beyond low-density lipoprotein cholesterol reduction.
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Affiliation(s)
- Rosangela Akemi Hoshi
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Center for Lipid Metabolomics, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Mona Alotaibi
- Department of Medicine, University of California San Diego, La Jolla, CA 92037, USA
- Division of Pulmonary, Critical Care and Sleep Medicine, University of California San Diego, La Jolla, CA, USA
| | - Yanyan Liu
- Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Center for Lipid Metabolomics, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Jeramie D. Watrous
- Department of Medicine, University of California San Diego, La Jolla, CA 92037, USA
| | - Paul M Ridker
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Robert J. Glynn
- Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Charles N. Serhan
- Center for Experimental Therapeutics and Reperfusion Injury, Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Heike Luttmann-Gibson
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Center for Lipid Metabolomics, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - M. Vinayaga Moorthy
- Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Mohit Jain
- Department of Medicine, University of California San Diego, La Jolla, CA 92037, USA
| | - Olga V. Demler
- Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Center for Lipid Metabolomics, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Computer Science, ETH Zurich, Zurich 8092, Switzerland
| | - Samia Mora
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Center for Lipid Metabolomics, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
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Filho RCF, Generoso G, Cardoso R, Jones SR, Santos RD, Toth PP, Bensenor IM, Lotufo PA, Bittencourt MS. GlycA Levels Independently Predict Coronary Artery Calcium Incidence and Progression in the ELSA-Brasil Cohort (Brazilian Longitudinal Study of Adult Health). Am J Cardiol 2024; 221:29-36. [PMID: 38636622 DOI: 10.1016/j.amjcard.2024.03.041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Revised: 02/28/2024] [Accepted: 03/30/2024] [Indexed: 04/20/2024]
Abstract
Atherosclerosis is an inflammatory disease. Coronary artery calcium (CAC) is a marker of atherosclerotic disease events and mortality risk. Increased GlycA, an emerging marker of inflammation, is associated with a higher risk for coronary artery disease (CAD). However, there is conflicting evidence on whether GlycA predicts subclinical CAD progression. We hypothesized that GlycA can predict subclinical CAC incidence/progression in healthy participants. We included 2,690 ELSA-Brasil cohort participants without cardiovascular/chronic inflammatory disease not receiving statin therapy who had GlycA levels measured and 2 interval CAC assessments between 2010 and 2018. Multivariable logistic and linear regression models were computed to evaluate GlycA as a predictor of CAC incidence and progression. CAC incidence required a baseline CAC of 0. CAC progression required a baseline CAC >0. The mean age of participants was 48.6 ± 7.7 years, 56.7% were women, and 54.6% and 16.1% (429 of 2,690) were White and Black, respectively. The mean CAC interscan period was 5.1 ± 0.9 years, the mean GlycA level was 414.7 ± 65 μmol/L, and the incidence of CAC was 13.1% (280 of 2,129). The GlycA level odds ratio for CAC incidence was 1.002 (95% confidence interval 1.0005 to 1.005, p = 0.016), adjusted for demographics, lifestyle, a family history of early CAD (≤60 years), lipids, and co-morbidities. The GlycA (≤p25 vs ≥p75) odds ratio for CAC progression (Berry definition) was 1.77 (95% confidence interval 1.07 to 2.96, p = 0.03) in a similar multivariable-adjusted model. Higher GlycA levels were associated with CAC incidence and progression in a healthy Brazilian cohort.
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Affiliation(s)
- Ronaldo C Fabiano Filho
- Division of General Internal Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Giuliano Generoso
- Center for Clinical and Epidemiological Research, University Hospital, University of São Paulo, São Paulo, Brazil
| | - Rhanderson Cardoso
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Steven R Jones
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins, University School of Medicine, Baltimore, Maryland
| | - Raul D Santos
- Heart Institute (InCor) University of Sao Paulo Medical School Hospital, Sao Paulo, Brazil
| | | | - Isabela M Bensenor
- Center for Clinical and Epidemiological Research, University Hospital, University of São Paulo, São Paulo, Brazil
| | - Paulo A Lotufo
- Center for Clinical and Epidemiological Research, University Hospital, University of São Paulo, São Paulo, Brazil
| | - Marcio S Bittencourt
- Center for Clinical and Epidemiological Research, University Hospital, University of São Paulo, São Paulo, Brazil; Department of Cardiology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
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Kasher M, Freidin MB, Williams FMK, Cherny SS, Ashkenazi S, Livshits G. Glycoprotein Acetyls Is a Novel Biomarker Predicting Cardiovascular Complications in Rheumatoid Arthritis. Int J Mol Sci 2024; 25:5981. [PMID: 38892172 PMCID: PMC11173129 DOI: 10.3390/ijms25115981] [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: 04/30/2024] [Revised: 05/25/2024] [Accepted: 05/28/2024] [Indexed: 06/21/2024] Open
Abstract
The relationship between rheumatoid arthritis (RA) and early onset atherosclerosis is well depicted, each with an important inflammatory component. Glycoprotein acetyls (GlycA), a novel biomarker of inflammation, may play a role in the manifestation of these two inflammatory conditions. The present study examined a potential mediating role of GlycA within the RA-atherosclerosis relationship to determine whether it accounts for the excess risk of cardiovascular disease over that posed by lipid risk factors. The UK Biobank dataset was acquired to establish associations among RA, atherosclerosis, GlycA, and major lipid factors: total cholesterol (TC), high- and low-density lipoprotein (HDL, LDL) cholesterol, and triglycerides (TGs). Genome-wide association study summary statistics were collected from various resources to perform genetic analyses. Causality among variables was tested using Mendelian Randomization (MR) analysis. Genes of interest were identified using colocalization analysis and gene enrichment analysis. MR results appeared to indicate that the genetic relationship between GlycA and RA and also between RA and atherosclerosis was explained by horizontal pleiotropy (p-value = 0.001 and <0.001, respectively), while GlycA may causally predict atherosclerosis (p-value = 0.017). Colocalization analysis revealed several functionally relevant genes shared between GlycA and all the variables assessed. Two loci were apparent in all relationships tested and included the HLA region as well as SLC22A1. GlycA appears to mediate the RA-atherosclerosis relationship through several possible pathways. GlycA, although pleiotropically related to RA, appears to causally predict atherosclerosis. Thus, GlycA is suggested as a significant factor in the etiology of atherosclerosis development in RA.
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Affiliation(s)
- Melody Kasher
- Department of Morphological Sciences, Adelson School of Medicine, Ariel University, Ariel 4070000, Israel; (M.K.); (S.A.)
| | - Maxim B. Freidin
- Department of Biology, School of Biological and Behavioural Sciences, Queen Mary University of London, London E1 4NS, UK;
| | - Frances M. K. Williams
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King’s College London, London WC2R 2LS, UK;
| | - Stacey S. Cherny
- Human Population Biology Research Unit, Department of Anatomy and Anthropology, School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel;
- Department of Epidemiology and Preventive Medicine, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
| | - Shai Ashkenazi
- Department of Morphological Sciences, Adelson School of Medicine, Ariel University, Ariel 4070000, Israel; (M.K.); (S.A.)
| | - Gregory Livshits
- Department of Morphological Sciences, Adelson School of Medicine, Ariel University, Ariel 4070000, Israel; (M.K.); (S.A.)
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King’s College London, London WC2R 2LS, UK;
- Human Population Biology Research Unit, Department of Anatomy and Anthropology, School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel;
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9
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Giron LB, Liu Q, Adeniji OS, Yin X, Kannan T, Ding J, Lu DY, Langan S, Zhang J, Azevedo JLLC, Li SH, Shalygin S, Azadi P, Hanna DB, Ofotokun I, Lazar J, Fischl MA, Haberlen S, Macatangay B, Adimora AA, Jamieson BD, Rinaldo C, Merenstein D, Roan NR, Kutsch O, Gange S, Wolinsky SM, Witt MD, Post WS, Kossenkov A, Landay AL, Frank I, Tien PC, Gross R, Brown TT, Abdel-Mohsen M. Immunoglobulin G N-glycan markers of accelerated biological aging during chronic HIV infection. Nat Commun 2024; 15:3035. [PMID: 38600088 PMCID: PMC11006954 DOI: 10.1038/s41467-024-47279-4] [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: 09/01/2023] [Accepted: 03/25/2024] [Indexed: 04/12/2024] Open
Abstract
People living with HIV (PLWH) experience increased vulnerability to premature aging and inflammation-associated comorbidities, even when HIV replication is suppressed by antiretroviral therapy (ART). However, the factors associated with this vulnerability remain uncertain. In the general population, alterations in the N-glycans on IgGs trigger inflammation and precede the onset of aging-associated diseases. Here, we investigate the IgG N-glycans in cross-sectional and longitudinal samples from 1214 women and men, living with and without HIV. PLWH exhibit an accelerated accumulation of pro-aging-associated glycan alterations and heightened expression of senescence-associated glycan-degrading enzymes compared to controls. These alterations correlate with elevated markers of inflammation and the severity of comorbidities, potentially preceding the development of such comorbidities. Mechanistically, HIV-specific antibodies glycoengineered with these alterations exhibit a reduced ability to elicit anti-HIV Fc-mediated immune activities. These findings hold potential for the development of biomarkers and tools to identify and prevent premature aging and comorbidities in PLWH.
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Affiliation(s)
| | - Qin Liu
- The Wistar Institute, Philadelphia, PA, USA
| | | | | | | | | | - David Y Lu
- The Wistar Institute, Philadelphia, PA, USA
- Cornell University, New York, NY, USA
| | | | | | | | - Shuk Hang Li
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | | | | | | | - Igho Ofotokun
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Jason Lazar
- SUNY Downstate Health Sciences University, New York, NY, USA
| | - Margaret A Fischl
- Division of Infectious Disease, Department of Medicine, University of Miami, Miami, FL, USA
| | | | | | | | | | | | | | - Nadia R Roan
- Gladstone Institutes, San Francisco, CA, USA
- University of California San Francisco, San Francisco, CA, USA
| | - Olaf Kutsch
- University of Alabama at Birmingham, Birmingham, AL, USA
| | | | | | - Mallory D Witt
- Lundquist Institute of Biomedical Research at Harbor-UCLA Medical Center, Torrance, CA, USA
| | | | | | | | - Ian Frank
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Phyllis C Tien
- University of California San Francisco, San Francisco, CA, USA
| | - Robert Gross
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
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10
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Al-Jafar R, Pinto RC, Elliott P, Tsilidis KK, Dehghan A. Metabolomics of Ramadan fasting and associated risk of chronic diseases. Am J Clin Nutr 2024; 119:1007-1014. [PMID: 38301826 PMCID: PMC11007737 DOI: 10.1016/j.ajcnut.2024.01.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 01/18/2024] [Accepted: 01/24/2024] [Indexed: 02/03/2024] Open
Abstract
BACKGROUND The dramatic change in lifestyle associated with Ramadan fasting raises questions about its effect on metabolism and health. Metabolites, as the end product of metabolism, are excellent candidates to be studied in this regard. OBJECTIVE This study aims to investigate the effect of Ramadan fasting on the metabolic profile and risk of chronic diseases. METHODS The London Ramadan study (LORANS) is an observational study in which 2 blood samples were collected from 72 participants a few days before and after the fasting month of Ramadan. We conducted metabolomic profiling using nuclear magnetic resonance spectroscopy to assess the change in individual metabolites from before to after Ramadan. Also, we generated metabolic scores (scaled from 0 to 100) for 7 chronic diseases in the UK Biobank and assessed the association of Ramadan fasting with these scores in LORANS. RESULTS Of the 72 participants, 35 were male (48.6%); the mean (± standard deviation) age was 45.7 (±16) y. Ramadan fasting was associated with changes in 14 metabolites (1 inflammation marker, 1 amino acid, 2 glycolysis-related metabolites, 2 ketone bodies, 2 triglyceride, and 6 lipoprotein subclasses), independent of changes in body composition. Using data from 117,981 participants in the UK Biobank, we generated metabolic scores for diabetes, hypertension, coronary artery disease, renal failure, colorectal cancer, breast cancer, and lung cancer. The metabolic scores for lung cancer, colorectal cancer, and breast cancer were lower after Ramadan in LORANS (-4.74, 9.6%, 95% confidence interval -6.56, -2.91, P < 0.001), (-1.09, -2.4%, -1.69, -0. 50, P < 0.001), and (-0.48, -1.1%, -0. 81, -0.15, P = 0.006), respectively. CONCLUSIONS Ramadan fasting is associated with short-term favorable changes in the metabolic profile concerning risk of some chronic diseases. These findings should be further investigated in future, larger studies of longer follow-up with clinical outcomes.
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Affiliation(s)
- Rami Al-Jafar
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom; Department of Data Services, Lean Business Services, Riyadh, Saudi Arabia.
| | - Rui Climaco Pinto
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom; Dementia Research Institute at Imperial College London, London, United Kingdom
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom; Dementia Research Institute at Imperial College London, London, United Kingdom; National Institute for Health Research Imperial College Biomedical Research Centre, Imperial College London, London, United Kingdom
| | - Konstantinos K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom; Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Abbas Dehghan
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom; Dementia Research Institute at Imperial College London, London, United Kingdom; MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
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11
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Crick DCP, Khandaker GM, Halligan SL, Burgner D, Mansell T, Fraser A. Comparison of the stability of glycoprotein acetyls and high sensitivity C-reactive protein as markers of chronic inflammation. Immunology 2024; 171:497-512. [PMID: 38148627 PMCID: PMC7616614 DOI: 10.1111/imm.13739] [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: 05/31/2023] [Accepted: 11/29/2023] [Indexed: 12/28/2023] Open
Abstract
It has been suggested that glycoprotein acetyls (GlycA) better reflects chronic inflammation than high sensitivity C-reactive protein (hsCRP), but paediatric/life-course data are sparse. Using data from the Avon Longitudinal Study of Parents and Children (ALSPAC) and UK Biobank, we compared short- (over weeks) and long-term (over years) correlations of GlycA and hsCRP, cross-sectional correlations between GlycA and hsCRP, and associations of pro-inflammatory risk factors with GlycA and hsCRP across the life-course. GlycA showed high short-term (weeks) stability at 15 years (r = 0.75; 95% CI = 0.56, 0.94), 18 years (r = 0.74; 0.64, 0.85), 24 years (r = 0.74; 0.51, 0.98) and 48 years (r = 0.82 0.76, 0.86) and this was comparable to the short-term stability of hsCRP at 24 years. GlycA stability was moderate over the long-term, for example between 15 and 18 years r = 0.52; 0.47, 0.56 and between 15 and 24 years r = 0.37; 0.31, 0.44. These were larger than equivalent correlations of hsCRP. GlycA and concurrently measured hsCRP were moderately correlated at all ages, for example at 15 years (r = 0.44; 0.40, 0.48) and at 18 years (r = 0.55; 0.51, 0.59). We found similar associations of known proinflammatory factors and inflammatory diseases with GlycA and hsCRP. For example, BMI was positively associated with GlycA (mean difference in GlycA per standard deviation change in BMI = 0.08; 95% CI = 0.07, 0.10) and hsCRP (0.10; 0.08, 0.11). This study showed that GlycA has greater long-term stability than hsCRP, however associations of proinflammatory factors with GlycA and hsCRP were broadly similar.
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Affiliation(s)
- Daisy C P Crick
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
| | - Golam M Khandaker
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- NIHR Bristol Biomedical Research Centre, Bristol, UK
- Avon and Wiltshire Mental Health Partnership NHS Trust, Bristol, UK
- Centre for Academic Mental Health, University of Bristol, Bristol, UK
| | - Sarah L Halligan
- Department of Psychology, University of Bath, Bath, UK
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
- Department of Psychiatry, Stellenbosch University, Stellenbosch, South Africa
| | - David Burgner
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, VIC, Australia
- Department of Paediatrics, Melbourne University, Parkville, VIC, Australia
| | - Toby Mansell
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, VIC, Australia
- Department of Paediatrics, Melbourne University, Parkville, VIC, Australia
| | - Abigail Fraser
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
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12
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Hoshi RA, Plavša B, Liu Y, Trbojević-Akmačić I, Glynn RJ, Ridker PM, Cummings RD, Gudelj I, Lauc G, Demler OV, Mora S. N-Glycosylation Profiles of Immunoglobulin G and Future Cardiovascular Events. Circ Res 2024; 134:e3-e14. [PMID: 38348651 PMCID: PMC10923145 DOI: 10.1161/circresaha.123.323623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 01/26/2024] [Indexed: 03/02/2024]
Abstract
BACKGROUND Posttranslational glycosylation of IgG can modulate its inflammatory capacity through structural variations. We examined the association of baseline IgG N-glycans and an IgG glycan score with incident cardiovascular disease (CVD). METHODS IgG N-glycans were measured in 2 nested CVD case-control studies: JUPITER (Justification for the Use of Statins in Prevention: an Intervention Trial Evaluating Rosuvastatin; NCT00239681; primary prevention; discovery; Npairs=162); and TNT trial (Treating to New Targets; NCT00327691; secondary prevention; validation; Npairs=397). Using conditional logistic regression, we investigated the association of future CVD with baseline IgG N-glycans and a glycan score adjusting for clinical risk factors (statin treatment, age, sex, race, lipids, hypertension, and smoking) in JUPITER. Significant associations were validated in TNT, using a similar model further adjusted for diabetes. Using least absolute shrinkage and selection operator regression, an IgG glycan score was derived in JUPITER as a linear combination of selected IgG N-glycans. RESULTS Six IgG N-glycans were associated with CVD in both studies: an agalactosylated glycan (IgG-GP4) was positively associated, while 3 digalactosylated glycans (IgG glycan peaks 12, 13, 14) and 2 monosialylated glycans (IgG glycan peaks 18, 20) were negatively associated with CVD after multiple testing correction (overall false discovery rate <0.05). Four selected IgG N-glycans comprised the IgG glycan score, which was associated with CVD in JUPITER (adjusted hazard ratio per glycan score SD, 2.08 [95% CI, 1.52-2.84]) and validated in TNT (adjusted hazard ratio per SD, 1.20 [95% CI, 1.03-1.39]). The area under the curve changed from 0.693 for the model without the score to 0.728 with the score in JUPITER (PLRT=1.1×10-6) and from 0.635 to 0.637 in TNT (PLRT=0.017). CONCLUSIONS An IgG N-glycan profile was associated with incident CVD in 2 populations (primary and secondary prevention), involving an agalactosylated glycan associated with increased risk of CVD, while several digalactosylated and sialylated IgG glycans associated with decreased risk. An IgG glycan score was positively associated with future CVD.
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Affiliation(s)
- Rosangela A. Hoshi
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Branimir Plavša
- University of Zagreb Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
| | - Yanyan Liu
- Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Robert J. Glynn
- Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Paul M Ridker
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Richard D. Cummings
- Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Ivan Gudelj
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
- Department of Biotechnology, University of Rijeka, Rijeka, Croatia
| | - Gordan Lauc
- University of Zagreb Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Olga V. Demler
- Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Computer Science Department, ETH Zurich, Zurich, Switzerland
| | - Samia Mora
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
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13
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Julián MT, Pérez-Montes de Oca A, Julve J, Alonso N. The double burden: type 1 diabetes and heart failure-a comprehensive review. Cardiovasc Diabetol 2024; 23:65. [PMID: 38347569 PMCID: PMC10863220 DOI: 10.1186/s12933-024-02136-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 01/15/2024] [Indexed: 02/15/2024] Open
Abstract
Heart failure (HF) is increasing at an alarming rate, primary due to the rising in aging, obesity and diabetes. Notably, individuals with type 1 diabetes (T1D) face a significantly elevated risk of HF, leading to more hospitalizations and increased case fatality rates. Several risk factors contribute to HF in T1D, including poor glycemic control, female gender, smoking, hypertension, elevated BMI, and albuminuria. However, early and intensive glycemic control can mitigate the long-term risk of HF in individuals with T1D. The pathophysiology of diabetes-associated HF is complex and multifactorial, and the underlying mechanisms in T1D remain incompletely elucidated. In terms of treatment, much of the evidence comes from type 2 diabetes (T2D) populations, so applying it to T1D requires caution. Sodium-glucose cotransporter 2 inhibitors have shown benefits in HF outcomes, even in non-diabetic populations. However, most of the information about HF and the evidence from cardiovascular safety trials related to glucose lowering medications refer to T2D. Glycemic control is key, but the link between hypoglycemia and HF hospitalization risk requires further study. Glycemic variability, common in T1D, is an independent HF risk factor. Technological advances offer the potential to improve glycemic control, including glycemic variability, and may play a role in preventing HF. In summary, HF in T1D is a complex challenge with unique dimensions. This review focuses on HF in individuals with T1D, exploring its epidemiology, risk factors, pathophysiology, diagnosis and treatment, which is crucial for developing tailored prevention and management strategies for this population.
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Affiliation(s)
- María Teresa Julián
- Department of Endocrinology and Nutrition, Hospital Germans Trias i Pujol, Badalona, Spain.
- Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain.
| | - Alejandra Pérez-Montes de Oca
- Department of Endocrinology and Nutrition, Hospital Germans Trias i Pujol, Badalona, Spain
- Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Josep Julve
- Institut d'Investigació Biomèdica Sant Pau (IIB Sant Pau), Barcelona, Spain
- Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
| | - Nuria Alonso
- Department of Endocrinology and Nutrition, Hospital Germans Trias i Pujol, Badalona, Spain.
- Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain.
- Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain.
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14
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Ahmad MS, Minaee N, Serrano-Contreras JI, Kaluarachchi M, Shen EYL, Boulange C, Ahmad S, Phetcharaburanin J, Holmes E, Wist J, Albaloshi AH, Alaama T, Damanhouri ZA, Lodge S. Exploring the Interactions between Obesity and Diabetes: Implications for Understanding Metabolic Dysregulation in a Saudi Arabian Adult Population. J Proteome Res 2024; 23:809-821. [PMID: 38230637 PMCID: PMC10846529 DOI: 10.1021/acs.jproteome.3c00717] [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: 10/31/2023] [Revised: 12/07/2023] [Accepted: 12/14/2023] [Indexed: 01/18/2024]
Abstract
The rising prevalence of obesity in Saudi Arabia is a major contributor to the nation's high levels of cardiometabolic diseases such as type 2 diabetes. To assess the impact of obesity on the diabetic metabolic phenotype presented in young Saudi Arabian adults, participants (n = 289, aged 18-40 years) were recruited and stratified into four groups: healthy weight (BMI 18.5-24.99 kg/m2) with (n = 57) and without diabetes (n = 58) or overweight/obese (BMI > 24.99 kg/m2) with (n = 102) and without diabetes (n = 72). Distinct plasma metabolic phenotypes associated with high BMI and diabetes were identified using nuclear magnetic resonance spectroscopy and ultraperformance liquid chromatography mass spectrometry. Increased plasma glucose and dysregulated lipoproteins were characteristics of obesity in individuals with and without diabetes, but the obesity-associated lipoprotein phenotype was partially masked in individuals with diabetes. Although there was little difference between diabetics and nondiabetics in the global plasma LDL cholesterol and phospholipid concentration, the distribution of lipoprotein particles was altered in diabetics with a shift toward denser and more atherogenic LDL5 and LDL6 particles, which was amplified in the presence of obesity. Further investigation is warranted in larger Middle Eastern populations to explore the dysregulation of metabolism driven by interactions between obesity and diabetes in young adults.
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Affiliation(s)
- Muhammad Saeed Ahmad
- Department
of Veterinary Medicine, University of Cambridge, Cambridge CB3 0ES, U.K.
- Drug
Metabolism Unit, King Fahad Medical Research Center, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Novia Minaee
- Health
Futures Institute, Murdoch University, Perth, WA 6150, Australia
| | | | - Manuja Kaluarachchi
- Department
of Metabolism, Digestion and Reproduction, Imperial College, London SW7 2AZ, U.K.
| | - Eric Yi-Liang Shen
- Department
of Metabolism, Digestion and Reproduction, Imperial College, London SW7 2AZ, U.K.
- Department
of Radiation Oncology, Chang Gung Memorial
Hospital and Chang Gung University, Taoyuan 333, Taiwan
| | - Claire Boulange
- Department
of Metabolism, Digestion and Reproduction, Imperial College, London SW7 2AZ, U.K.
| | - Sultan Ahmad
- Drug
Metabolism Unit, King Fahad Medical Research Center, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Jutarop Phetcharaburanin
- Department
of Systems Biosciences and Computational Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand
| | - Elaine Holmes
- Health
Futures Institute, Murdoch University, Perth, WA 6150, Australia
- Department
of Metabolism, Digestion and Reproduction, Imperial College, London SW7 2AZ, U.K.
| | - Julien Wist
- Health
Futures Institute, Murdoch University, Perth, WA 6150, Australia
- Department
of Metabolism, Digestion and Reproduction, Imperial College, London SW7 2AZ, U.K.
- Chemistry
Department, Universidad del Valle, Cali 76001, Colombia
| | - Ahmed Hakem Albaloshi
- King
Abdulaziz Hospital and Endocrine and Diabetic Center, Jeddah 23436, Saudi Arabia
| | - Tareef Alaama
- Department
of Medicine, Faculty of Medicine, King Abdulaziz
University, Jeddah 21589, Saudi Arabia
| | - Zoheir Abdullah Damanhouri
- Drug
Metabolism Unit, King Fahad Medical Research Center, King Abdulaziz University, Jeddah 21589, Saudi Arabia
- Department
of Pharmacology, Faculty of Medicine, King
Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Samantha Lodge
- Health
Futures Institute, Murdoch University, Perth, WA 6150, Australia
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15
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Giron LB, Liu Q, Adeniji OS, Yin X, Kannan T, Ding J, Lu DY, Langan S, Zhang J, Azevedo JLLC, Li SH, Shalygin S, Azadi P, Hanna DB, Ofotokun I, Lazar J, Fischl MA, Haberlen S, Macatangay B, Adimora AA, Jamieson BD, Rinaldo C, Merenstein D, Roan NR, Kutsch O, Gange S, Wolinsky S, Witt M, Post WS, Kossenkov A, Landay A, Frank I, Tien PC, Gross R, Brown TT, Abdel-Mohsen M. Plasma Glycomic Markers of Accelerated Biological Aging During Chronic HIV Infection. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.09.551369. [PMID: 37609144 PMCID: PMC10441429 DOI: 10.1101/2023.08.09.551369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
People with HIV (PWH) experience an increased vulnerability to premature aging and inflammation-associated comorbidities, even when HIV replication is suppressed by antiretroviral therapy (ART). However, the factors that contribute to or are associated with this vulnerability remain uncertain. In the general population, alterations in the glycomes of circulating IgGs trigger inflammation and precede the onset of aging-associated diseases. Here, we investigate the IgG glycomes of cross-sectional and longitudinal samples from 1,216 women and men, both living with virally suppressed HIV and those without HIV. Our glycan-based machine learning models indicate that living with chronic HIV significantly accelerates the accumulation of pro-aging-associated glycomic alterations. Consistently, PWH exhibit heightened expression of senescence-associated glycan-degrading enzymes compared to their controls. These glycomic alterations correlate with elevated markers of inflammatory aging and the severity of comorbidities, potentially preceding the development of such comorbidities. Mechanistically, HIV-specific antibodies glycoengineered with these alterations exhibit reduced anti-HIV IgG-mediated innate immune functions. These findings hold significant potential for the development of glycomic-based biomarkers and tools to identify and prevent premature aging and comorbidities in people living with chronic viral infections.
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Affiliation(s)
| | - Qin Liu
- The Wistar Institute, Philadelphia, PA, USA
| | | | | | | | | | - David Y. Lu
- The Wistar Institute, Philadelphia, PA, USA
- Cornell University, New York, NY, USA
| | | | | | | | - Shuk Hang Li
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | | | | | | | - Igho Ofotokun
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Jason Lazar
- SUNY Downstate Health Sciences University, New York, NY, USA
| | | | | | | | | | | | | | | | - Nadia R. Roan
- Gladstone Institutes, San Francisco, CA, USA
- University of California San Francisco, San Francisco, CA, USA
| | - Olaf Kutsch
- University of Alabama at Birmingham, Birmingham, Alabama, USA
| | | | | | - Mallory Witt
- Los Angeles Biomedical Research Institute, Torrance, CA, USA
| | | | | | | | - Ian Frank
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Phyllis C. Tien
- University of California San Francisco, San Francisco, CA, USA
| | - Robert Gross
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
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Fang XY, Zhang J, Qian TT, Gao P, Wu Q, Fang Q, Ke SS, Huang RG, Zhang HC, Qiao NN, Fan YG, Ye DQ. Metabolomic profiles, polygenic risk scores and risk of rheumatoid arthritis: a population-based cohort study in the UK Biobank. RMD Open 2023; 9:e003560. [PMID: 38035758 PMCID: PMC10689387 DOI: 10.1136/rmdopen-2023-003560] [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: 07/31/2023] [Accepted: 10/16/2023] [Indexed: 12/02/2023] Open
Abstract
OBJECTIVE To investigate the relationship between metabolomic profiles, genome-wide polygenic risk scores (PRSs) and risk of rheumatoid arthritis (RA). METHODS 143 nuclear magnetic resonance-based plasma metabolic biomarkers were measured among 93 800 participants in the UK Biobank. The Cox regression model was used to assess the associations between these metabolic biomarkers and RA risk, and genetic correlation and Mendelian randomisation analyses were performed to reveal their causal relationships. Subsequently, a metabolic risk score (MRS) comprised of the weighted sum of 17 clinically validated metabolic markers was constructed. A PRS was derived by assigning weights to genetic variants that exhibited significant associations with RA at a genome-wide level. RESULTS A total of 620 incident RA cases were recorded during a median follow-up time of 8.2 years. We determined that 30 metabolic biomarkers were potentially associated with RA, while no further significant causal associations were found. Individuals in the top decile of MRS had an increased risk of RA (HR 3.52, 95% CI: 2.80 to 4.43) compared with those below the median of MRS. Further, significant gradient associations between MRS and RA risk were observed across genetic risk strata. Specifically, compared with the low genetic risk and favourable MRS group, the risk of incident RA in the high genetic risk and unfavourable MRS group has almost elevated by fivefold (HR 6.10, 95% CI: 4.06 to 9.14). CONCLUSION Our findings suggested the metabolic profiles comprising multiple metabolic biomarkers contribute to capturing an elevated risk of RA, and the integration of genome-wide PRSs further improved risk stratification.
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Affiliation(s)
- Xin-Yu Fang
- Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Jie Zhang
- School of Public Health, Anhui University of Science and Technology, Hefei, Anhui, China
- Anhui Institute of Occupational Safety and Health, Anhui University of Science and Technology, Hefei, China
| | - Ting-Ting Qian
- Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Peng Gao
- Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Qing Wu
- Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Quan Fang
- Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Su-Su Ke
- Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Rong-Gui Huang
- Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Heng-Chuan Zhang
- Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Ni-Ni Qiao
- Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Yin-Guang Fan
- Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Dong-Qing Ye
- Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
- School of Public Health, Anhui University of Science and Technology, Hefei, Anhui, China
- Anhui Institute of Occupational Safety and Health, Anhui University of Science and Technology, Hefei, China
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Kamińska MS, Schneider-Matyka D, Rachubińska K, Panczyk M, Grochans E, Cybulska AM. Menopause Predisposes Women to Increased Risk of Cardiovascular Disease. J Clin Med 2023; 12:7058. [PMID: 38002671 PMCID: PMC10672665 DOI: 10.3390/jcm12227058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 11/06/2023] [Accepted: 11/10/2023] [Indexed: 11/26/2023] Open
Abstract
(1) Background: Menopause is an important event in women's lives, possibly contributing to the development of CVD, which is associated with changes in the cardiovascular risk profile, markers of metabolic health, and subclinical atherosclerosis. The aim of this study was to assess the association of menopause with CVD risk factors and subclinical markers of cardiometabolic disease. (2) Methods: The study involved 235 women from the general population at different stages of menopause. The methods used in this study were: diagnostic survey, anthropometric measurement (WC, height, BMI, WHtR), blood pressure measurement, biochemical analysis of venous blood (lipid profile, glucose, insulin, HbA1c), and CVD risk assessment (ASCVD Risk Calculator, POL-SCORE, SCORE-2). (3) Results: The vast majority of respondents had low cardiovascular risk, irrespective of the scale used for measuring the risk of CVD. The age at menopause was not an independent risk factor for CVD. In Model 1, the age at menopause and the time since menopause were found to be factors that increased CVD risk (OR = 1.186 and 1.267, respectively). In Models 2 and 3, the severity of menopausal symptoms was not a risk factor for CVD. Models 3 and 4 demonstrated that women with metabolic syndrome (MetS) were at a significantly higher risk of CVD. In model 5, the odds ratio of CVD with MetS as a standalone factor was 13.812. (4) Conclusions: Menopause predisposes women to an increased risk and MetS to a significantly higher risk of CVD.
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Affiliation(s)
- Magdalena Sylwia Kamińska
- Subdepartment of Long-Term Care and Palliative Medicine, Department of Social Medicine, Faculty of Health Sciences, Pomeranian Medical University in Szczecin, 48 Żołnierska St., 71-210 Szczecin, Poland
| | - Daria Schneider-Matyka
- Department of Nursing, Faculty of Health Sciences, Pomeranian Medical University in Szczecin, 48 Żołnierska St., 71-210 Szczecin, Poland
| | - Kamila Rachubińska
- Department of Nursing, Faculty of Health Sciences, Pomeranian Medical University in Szczecin, 48 Żołnierska St., 71-210 Szczecin, Poland
| | - Mariusz Panczyk
- Department of Education and Research in Health Sciences, Faculty of Health Sciences, Medical University of Warsaw, 14/16 Litewska St., 00-518 Warsaw, Poland
| | - Elżbieta Grochans
- Department of Nursing, Faculty of Health Sciences, Pomeranian Medical University in Szczecin, 48 Żołnierska St., 71-210 Szczecin, Poland
| | - Anna Maria Cybulska
- Department of Nursing, Faculty of Health Sciences, Pomeranian Medical University in Szczecin, 48 Żołnierska St., 71-210 Szczecin, Poland
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18
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Fung E, Chan EYS, Ng KH, Yu KM, Li H, Wang Y. Towards clinical application of GlycA and GlycB for early detection of inflammation associated with (pre)diabetes and cardiovascular disease: recent evidence and updates. J Inflamm (Lond) 2023; 20:32. [PMID: 37814278 PMCID: PMC10563214 DOI: 10.1186/s12950-023-00358-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 09/18/2023] [Indexed: 10/11/2023] Open
Abstract
Cardiometabolic diseases are associated with low-grade inflammation early in life and persists into old age. The long latency period presents opportunities for early detection, lifestyle modification and intervention. However, the performance of conventional biomarker assays to detect low-grade inflammation has been variable, particularly for early-stage cardiometabolic disorder including prediabetes and subclinical atherosclerotic vascular inflammation. During the last decade, the application of nuclear magnetic resonance (NMR) spectroscopy for metabolic profiling of biofluids in translational and epidemiological research has advanced to a stage approaching clinical application. Proton (1H)-NMR profiling induces no destructible physical changes to specimens, and generates quantitative signals from deconvoluted spectra that are highly repeatable and reproducible. Apart from quantitative analysis of amino acids, lipids/lipoproteins, metabolic intermediates and small proteins, 1H-NMR technology is unique in being able to detect composite signals of acute-phase and low-grade inflammation indicated by glycosylated acetyls (GlycA) and N-acetylneuraminic acid (sialic acid) moieties (GlycB). Different from conventional immunoassays that target epitopes and are susceptible to conformational variation in protein structure and binding, GlycA and GlycB signals are stable over time, and maybe complementary as well as superior to high-sensitivity C-reactive protein and other inflammatory cytokines. Here we review the physicochemical principles behind 1H-NMR profiling of GlycA and GlycB, and the available evidence supporting their potential clinical application for the prediction of incident (pre)diabetes, cardiovascular disease, and adverse outcomes.
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Affiliation(s)
- Erik Fung
- Department of Medicine & Therapeutics, Laboratory for Heart Failure + Circulation Research, Li Ka Shing Institute of Health Sciences, and Centre for Cardiovascular Genomics & Medicine, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China.
- Hong Kong Hub of Paediatric Excellence, The Chinese University of Hong Kong, Hong Kong Children's Hospital, Kowloon Bay, Kowloon, Hong Kong SAR, China.
- Neural, Vascular, and Metabolic Biology Programme, and Ministry of Education Laboratory for Regenerative Medicine, School of Biomedical Sciences, Faculty of Medicine, Lo Kwee-Seong Integrated Biomedical Sciences Building, Area 39, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China.
- Department of Epidemiology & Biostatistics, School of Public Health, St Mary's Campus, Imperial College London, London, UK.
- School of Medicine, The Chinese University of Hong Kong, Shenzhen, China.
- Prince of Wales Hospital, Room 124010, 10/F, LCWCSB, 30-32 Ngan Shing Street, Shatin, New Territories, Hong Kong SAR, China.
| | - Eunice Y S Chan
- School of Medicine, The Chinese University of Hong Kong, Shenzhen, China
| | - Kwan Hung Ng
- Department of Medicine & Therapeutics, Laboratory for Heart Failure + Circulation Research, Li Ka Shing Institute of Health Sciences, and Centre for Cardiovascular Genomics & Medicine, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Hong Kong Hub of Paediatric Excellence, The Chinese University of Hong Kong, Hong Kong Children's Hospital, Kowloon Bay, Kowloon, Hong Kong SAR, China
| | - Ka Man Yu
- Department of Medicine & Therapeutics, Laboratory for Heart Failure + Circulation Research, Li Ka Shing Institute of Health Sciences, and Centre for Cardiovascular Genomics & Medicine, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Hong Kong Hub of Paediatric Excellence, The Chinese University of Hong Kong, Hong Kong Children's Hospital, Kowloon Bay, Kowloon, Hong Kong SAR, China
| | - Huijun Li
- School of Medicine, The Chinese University of Hong Kong, Shenzhen, China
| | - Yulan Wang
- Singapore Phenome Centre, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
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19
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Galvao S, Bensenor IM, Blaha MJ, Jones S, Toth PP, Santos RD, Bittencourt M, Lotufo PA, Teixeira PDFDS. GlycA as a Novel Biomarker of Systemic Inflammation in Hypothyroidism. Thyroid 2023; 33:1171-1181. [PMID: 37534852 DOI: 10.1089/thy.2023.0070] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/04/2023]
Abstract
Background: GlycA is a novel glycoprotein biomarker of systemic inflammation and cardiovascular risk. Our objective was to assess the levels of GlycA in individuals with hypothyroidism. We also explored whether levothyroxine (LT4)-treated patients had different levels of GlycA, with attention to thyrotropin (TSH) levels. Methods: We performed a cross-sectional analysis, using baseline data from the ELSA-Brasil cohort study. We included only participants with serum TSH and GlycA levels measurements, using magnetic resonance spectroscopy (n = 4745). We excluded individuals with endogenous hyperthyroidism and those using drugs impacting thyroid function. Participants not taking LT4 and whose serum TSH was 0.4-4.0 mIU/L were classified as euthyroid (EU) and those with elevated TSH as undiagnosed hypothyroidism (UH). For those on LT4 (n = 345), adequacy of treatment was defined as TSH within the reference range. Those with TSH <0.4 mIU/L were considered over-treated (OT), and those >4.0 mIU/L, under-treated (UT). Both (UT+OT) were considered inadequately treated (IT). Group comparisons were performed by Kruskal-Wallis, adjusted Chi-square, and the post hoc Dunn test. Additional subgroup analysis were performed in patients with circulating thyroperoxidase antibodies (TPO-Ab+). Respective multivariable analyses were performed to evaluate the relationship between thyroid-related variables and GlycA levels (Generalized Linear Model), as well as an abnormal GlycA (>400 μmol/L; Logistic Binary Regression). Results: The prevalence rate of UH was 9.8% (467/4745) and, among those on LT4, only 61.7% (213/345) were adequately treated (AT). GlycA levels were higher in IT in comparison to EU (429 vs. 410 μmol/L, p < 0.01) but did not differ between UH (413 μmol/L) and euthyroidism. However, the subgroup analysis of those TPO-Ab+ showed that not only those with IT, but also those with UH, had higher levels of GlycA in comparison to euthyroidism (423 and 424 vs. 402 μmol/L, p = 0.04). This association between higher levels of GlycA and IT was maintained even in multivariable analysis (odds ratio 1.53, confidence interval 1.03 to 2.31) Lower levels of GlycA were detected in AT (405 μmol/L,) compared with OT (432 μmol/L, 0.04) and UT (423 μmol/L, p = 0.02). Conclusions: Patients with IT, both OT and UT, had higher GlycA levels, which may be associated with low-grade systemic inflammation and, possibly, increased cardiovascular risk.
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Affiliation(s)
- Sarah Galvao
- Post-Graduate Program in Endocrinology, Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Isabela M Bensenor
- Center for Clinical and Epidemiological Research, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Michael J Blaha
- Ciccarone Center for the Prevention of Heart Disease, Johns Hopkins University, Baltimore, Maryland, USA
| | - Steven Jones
- Ciccarone Center for the Prevention of Heart Disease, Johns Hopkins University, Baltimore, Maryland, USA
| | - Peter P Toth
- Ciccarone Center for the Prevention of Heart Disease, Johns Hopkins University, Baltimore, Maryland, USA
- Department of Preventive Cardiology, CGH Medical Center, Sterling, Illinois, USA
| | - Raul D Santos
- Lipid Clinic Heart Institute (InCor), University of São Paulo, São Paulo, Brazil
| | - Marcio Bittencourt
- Department of Medicine, Heart and Vascular Institute, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Paulo A Lotufo
- Center for Clinical and Epidemiological Research, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
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20
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Louca P, Štambuk T, Frkatović-Hodžić A, Nogal A, Mangino M, Berry SE, Deriš H, Hadjigeorgiou G, Wolf J, Vinicki M, Franks PW, Valdes AM, Spector TD, Lauc G, Menni C. Plasma protein N-glycome composition associates with postprandial lipaemic response. BMC Med 2023; 21:231. [PMID: 37400796 PMCID: PMC10318725 DOI: 10.1186/s12916-023-02938-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 06/13/2023] [Indexed: 07/05/2023] Open
Abstract
BACKGROUND A dysregulated postprandial metabolic response is a risk factor for chronic diseases, including type 2 diabetes mellitus (T2DM). The plasma protein N-glycome is implicated in both lipid metabolism and T2DM risk. Hence, we first investigate the relationship between the N-glycome and postprandial metabolism and then explore the mediatory role of the plasma N-glycome in the relationship between postprandial lipaemia and T2DM. METHODS We included 995 individuals from the ZOE-PREDICT 1 study with plasma N-glycans measured by ultra-performance liquid chromatography at fasting and triglyceride, insulin, and glucose levels measured at fasting and following a mixed-meal challenge. Linear mixed models were used to investigate the associations between plasma protein N-glycosylation and metabolic response (fasting, postprandial (Cmax), or change from fasting). A mediation analysis was used to further explore the relationship of the N-glycome in the prediabetes (HbA1c = 39-47 mmol/mol (5.7-6.5%))-postprandial lipaemia association. RESULTS We identified 36 out of 55 glycans significantly associated with postprandial triglycerides (Cmax β ranging from -0.28 for low-branched glycans to 0.30 for GP26) after adjusting for covariates and multiple testing (padjusted < 0.05). N-glycome composition explained 12.6% of the variance in postprandial triglycerides not already explained by traditional risk factors. Twenty-seven glycans were also associated with postprandial glucose and 12 with postprandial insulin. Additionally, 3 of the postprandial triglyceride-associated glycans (GP9, GP11, and GP32) also correlate with prediabetes and partially mediate the relationship between prediabetes and postprandial triglycerides. CONCLUSIONS This study provides a comprehensive overview of the interconnections between plasma protein N-glycosylation and postprandial responses, demonstrating the incremental predictive benefit of N-glycans. We also suggest a considerable proportion of the effect of prediabetes on postprandial triglycerides is mediated by some plasma N-glycans.
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Affiliation(s)
- Panayiotis Louca
- Department of Twin Research and Genetic Epidemiology, King's College London, St Thomas' Hospital Campus, Westminster Bridge Road, London, SE1 7EH, UK
| | | | | | - Ana Nogal
- Department of Twin Research and Genetic Epidemiology, King's College London, St Thomas' Hospital Campus, Westminster Bridge Road, London, SE1 7EH, UK
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King's College London, St Thomas' Hospital Campus, Westminster Bridge Road, London, SE1 7EH, UK
- NIHR Biomedical Research Centre at Guy's and St Thomas' Foundation Trust, London, SE1 9RT, UK
| | - Sarah E Berry
- Department of Nutritional Sciences, King's College London, Franklin Wilkins Building, London, SE1 9NH, UK
| | - Helena Deriš
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | | | | | | | - Paul W Franks
- Lund University Diabetes Center, Lund University, Malmö, Sweden
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Ana M Valdes
- Academic Rheumatology Clinical Sciences Building, Nottingham City Hospital, University of Nottingham, Nottingham, UK
| | - Tim D Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, St Thomas' Hospital Campus, Westminster Bridge Road, London, SE1 7EH, UK
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
- University of Zagreb Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
| | - Cristina Menni
- Department of Twin Research and Genetic Epidemiology, King's College London, St Thomas' Hospital Campus, Westminster Bridge Road, London, SE1 7EH, UK.
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21
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Paton B, Herrero P, Peraire J, del Pino A, Chafino S, Martinez-Picado J, Gómez-Bertomeu F, Rull A, Canela N, Suárez M. Fucosylated N-glycans as early biomarkers of COVID-19 severity. Front Immunol 2023; 14:1204661. [PMID: 37342334 PMCID: PMC10278543 DOI: 10.3389/fimmu.2023.1204661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 05/22/2023] [Indexed: 06/22/2023] Open
Abstract
Background The pathological mechanisms of SARS-CoV-2 in humans remain unclear and the unpredictability of COVID-19 progression may be attributed to the absence of biomarkers that contribute to the prognosis of this disease. Therefore, the discovery of biomarkers is needed for reliable risk stratification and to identify patients who are more likely to progress to a critical stage. Methods Aiming to identify new biomarkers we analysed N-glycan traits in plasma from 196 patients with COVID-19. Samples were classified into three groups according to their severity (mild, severe and critical) and obtained at diagnosis (baseline) and at 4 weeks of follow-up (postdiagnosis), to evaluate their behaviour through disease progression. N-glycans were released with PNGase F and labelled with Rapifluor-MS, followed by their analysis by LC-MS/MS. The Simglycan structural identification tool and Glycostore database were employed to predict the structure of glycans. Results We determined that plasma from SARS-CoV-2-infected patients display different N-glycosylation profiles depending on the disease severity. Specifically, levels of fucosylation and galactosylation decreased with increasing severity and Fuc1Hex5HexNAc5 was identified as the most suitable biomarker to stratify patients at diagnosis and distinguish mild from critical outcomes. Conclusion In this study we explored the global plasma glycosignature, reflecting the inflammatory state of the organs during the infectious disease. Our findings show the promising potential of glycans as biomarkers of COVID-19 severity.
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Affiliation(s)
- Beatrix Paton
- Eurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences (Joint Unit Eurecat- Universitat Rovira i Virgili), Unique Scientific and Technical Infrastructure (ICTS), Reus, Spain
| | - Pol Herrero
- Eurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences (Joint Unit Eurecat- Universitat Rovira i Virgili), Unique Scientific and Technical Infrastructure (ICTS), Reus, Spain
| | - Joaquim Peraire
- Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain
- Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- Universitat Rovira i Virgili (URV), Tarragona, Spain
| | - Antoni del Pino
- Eurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences (Joint Unit Eurecat- Universitat Rovira i Virgili), Unique Scientific and Technical Infrastructure (ICTS), Reus, Spain
| | - Silvia Chafino
- Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain
- Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
| | - Javier Martinez-Picado
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- IrsiCaixa AIDS Research Institute, Badalona, Spain
- Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain
- University of Vic-Central University of Catalonia (UVic-UCC), Vic, Spain
- Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain
| | - Fréderic Gómez-Bertomeu
- Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain
- Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- Universitat Rovira i Virgili (URV), Tarragona, Spain
| | - Anna Rull
- Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain
- Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- Universitat Rovira i Virgili (URV), Tarragona, Spain
| | - Núria Canela
- Eurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences (Joint Unit Eurecat- Universitat Rovira i Virgili), Unique Scientific and Technical Infrastructure (ICTS), Reus, Spain
| | - Manuel Suárez
- Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Nutrigenomics Research Group, Tarragona, Spain
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22
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Seeling KS, Hehl L, Vell MS, Rendel MD, Creasy KT, Trautwein C, Mehler DMA, Keszthelyi D, Schneider KM, Schneider CV. Comorbidities, biomarkers and cause specific mortality in patients with irritable bowel syndrome: A phenome-wide association study. United European Gastroenterol J 2023; 11:458-470. [PMID: 37151116 PMCID: PMC10256994 DOI: 10.1002/ueg2.12397] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Accepted: 04/02/2023] [Indexed: 05/09/2023] Open
Abstract
BACKGROUND Irritable bowel syndrome (IBS) is one of the most common functional digestive disorders. Our understanding about its comorbidities, biomarkers, or long-term risks is still incomplete. OBJECTIVE To characterize comorbidities and biomarkers for IBS and establish the effect of IBS on overall- and cause specific mortality. METHODS We analyzed data from the population-based cohort of the UK Biobank (UKB) with 493,974 participants, including self-reported physician-diagnosed (n = 20,603) and ICD-10 diagnosed (n = 7656) IBS patients, with a mean follow-up of 11 years. We performed a phenome-wide association study (PheWAS) and competing risk analysis to characterize common clinical features in IBS patients. RESULTS In PheWAS analyses, 260 PheCodes were significantly overrepresented in self-reported physician-diagnosed IBS patients, 633 in patients with ICD-10 diagnosed IBS (ICD-10-IBS), with 221 (40%) overlapping. In addition to gastrointestinal diseases, psychiatric, musculoskeletal, and endocrine/metabolic disorders represented the most strongly associated PheCodes in IBS patients. Self-reported physician-diagnosed IBS was not associated with increased overall mortality and the risk of death from cancer was decreased (hazard ratio [HR] = 0.78 [95% CI = 0.7-0.9]). Lastly, we evaluated changes in serum metabolites in IBS patients and identified glycoprotein acetyls (GlycA) as a potential biomarker in IBS. One standard deviation increase in GlycA raised the risk of self-reported IBS/ICD-10 coded by 9%-20% (odds ratio [OR] = 1.09 [95% CI = 1.1-1.1]/OR = 1.20 [95% CI = 1.1-1.3]) and the risk of overall mortality in ICD-10-IBS patients by 28% (HR = 1.28 [95% CI = 1.1-1.5]). CONCLUSION Our large-scale association study determined IBS patients having an increased risk of several different comorbidities and that GlycA was increased in IBS patients.
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Affiliation(s)
- Katharina Sophie Seeling
- Medical Clinic IIIGastroenterology, Metabolic Diseases and Intensive CareUniversity Hospital RWTH AachenAachenGermany
| | - Leonida Hehl
- Medical Clinic IIIGastroenterology, Metabolic Diseases and Intensive CareUniversity Hospital RWTH AachenAachenGermany
| | - Mara Sophie Vell
- Medical Clinic IIIGastroenterology, Metabolic Diseases and Intensive CareUniversity Hospital RWTH AachenAachenGermany
| | - Miriam Daphne Rendel
- Medical Clinic IIIGastroenterology, Metabolic Diseases and Intensive CareUniversity Hospital RWTH AachenAachenGermany
| | - Kate Townsend Creasy
- Department of Biobehavioral Health SciencesPerelman School of NursingUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Christian Trautwein
- Medical Clinic IIIGastroenterology, Metabolic Diseases and Intensive CareUniversity Hospital RWTH AachenAachenGermany
| | - David Marc Anton Mehler
- Department of Psychiatry, Psychotherapy and PsychosomaticsUniversity Hospital RWTH AachenAachenGermany
- Institute for Translational PsychiatryUniversity of MünsterMünsterGermany
| | - Daniel Keszthelyi
- Division of Gastroenterology‐HepatologyDepartment of Internal MedicineMaastricht University Medical Center+Maastrichtthe Netherlands
| | - Kai Markus Schneider
- Medical Clinic IIIGastroenterology, Metabolic Diseases and Intensive CareUniversity Hospital RWTH AachenAachenGermany
| | - Carolin Victoria Schneider
- Medical Clinic IIIGastroenterology, Metabolic Diseases and Intensive CareUniversity Hospital RWTH AachenAachenGermany
- The Institute for Translational Medicine and TherapeuticsThe Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
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23
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Li J, Qiu Y, Zhang C, Wang H, Bi R, Wei Y, Li Y, Hu B. The role of protein glycosylation in the occurrence and outcome of acute ischemic stroke. Pharmacol Res 2023; 191:106726. [PMID: 36907285 DOI: 10.1016/j.phrs.2023.106726] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 03/03/2023] [Accepted: 03/09/2023] [Indexed: 03/12/2023]
Abstract
Acute ischemic stroke (AIS) is a serious and life-threatening disease worldwide. Despite thrombolysis or endovascular thrombectomy, a sizeable fraction of patients with AIS have adverse clinical outcomes. In addition, existing secondary prevention strategies with antiplatelet and anticoagulant drugs therapy are not able to adequately decrease the risk of ischemic stroke recurrence. Thus, exploring novel mechanisms for doing so represents an urgent need for the prevention and treatment of AIS. Recent studies have discovered that protein glycosylation plays a critical role in the occurrence and outcome of AIS. As a common co- and post-translational modification, protein glycosylation participates in a wide variety of physiological and pathological processes by regulating the activity and function of proteins or enzymes. Protein glycosylation is involved in two causes of cerebral emboli in ischemic stroke: atherosclerosis and atrial fibrillation. Following ischemic stroke, the level of brain protein glycosylation becomes dynamically regulated, which significantly affects stroke outcome through influencing inflammatory response, excitotoxicity, neuronal apoptosis, and blood-brain barrier disruption. Drugs targeting glycosylation in the occurrence and progression of stroke may represent a novel therapeutic idea. In this review, we focus on possible perspectives about how glycosylation affects the occurrence and outcome of AIS. We then propose the potential of glycosylation as a therapeutic drug target and prognostic marker for AIS patients in the future.
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Affiliation(s)
- Jianzhuang Li
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yanmei Qiu
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chunlin Zhang
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hailing Wang
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Rentang Bi
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yanhao Wei
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yanan Li
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Bo Hu
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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24
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Plavša B, Szavits-Nossan J, Blivajs A, Rapčan B, Radovani B, Šesto I, Štambuk K, Mustapić V, Đerek L, Rudan D, Lauc G, Gudelj I. The N-Glycosylation of Total Plasma Proteins and IgG in Atrial Fibrillation. Biomolecules 2023; 13:biom13040605. [PMID: 37189353 DOI: 10.3390/biom13040605] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 03/13/2023] [Accepted: 03/24/2023] [Indexed: 03/30/2023] Open
Abstract
Atrial fibrillation is a disease with a complex pathophysiology, whose occurrence and persistence are caused not only by aberrant electrical signaling in the heart, but by the development of a susceptible heart substrate. These changes, such as the accumulation of adipose tissue and interstitial fibrosis, are characterized by the presence of inflammation. N-glycans have shown great promise as biomarkers in different diseases, specifically those involving inflammatory changes. To assess the changes in the N-glycosylation of the plasma proteins and IgG in atrial fibrillation, we analyzed the N-glycosylation of 172 patients with atrial fibrillation, before and six months after a pulmonary vein isolation procedure, with 54 cardiovascularly healthy controls. An analysis was performed using ultra-high-performance liquid chromatography. We found one oligomannose N-glycan structure from the plasma N-glycome and six IgG N-glycans, mainly revolving around the presence of bisecting N-acetylglucosamine, that were significantly different between the case and control groups. In addition, four plasma N-glycans, mostly oligomannose structures and a derived trait that was related to them, were found to be different in the patients who experienced an atrial fibrillation recurrence during the six-month follow-up. IgG N-glycosylation was extensively associated with the CHA2DS2-VASc score, confirming its previously reported associations with the conditions that make up the score. This is the first study looking at the N-glycosylation patterns in atrial fibrillation and warrants further investigation into the prospect of glycans as biomarkers for atrial fibrillation.
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25
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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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26
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Collins KA, Kraus WE, Rogers RJ, Hauser ER, Lang W, Jiang R, Schelbert EB, Huffman KM, Jakicic JM. Effect of behavioral weight-loss program on biomarkers of cardiometabolic disease risk: Heart Health Study randomized trial. Obesity (Silver Spring) 2023; 31:338-349. [PMID: 36621902 PMCID: PMC9877129 DOI: 10.1002/oby.23618] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Revised: 09/11/2022] [Accepted: 09/27/2022] [Indexed: 01/10/2023]
Abstract
OBJECTIVE This study aimed to determine whether novel biomarkers of cardiometabolic health improve in response to a 12-month behavioral weight-loss intervention and to compare benefits of diet alone with diet plus physical activity for these biomarkers. METHODS Participants (N = 374) were randomized to either diet alone (DIET), diet plus 150 min/wk of prescribed moderate-intensity physical activity (DIET + PA150), or diet plus 250 min/wk of prescribed moderate-intensity physical activity (DIET + PA250). Biomarker concentrations were determined using nuclear magnetic resonance spectroscopy. Mixed models assessed for a time effect, group effect, or group by time interaction. RESULTS All groups significantly improved body weight (time: p < 0.0001), Lipoprotein Insulin Resistance Index score (time: p < 0.0001), Diabetes Risk Index score (time: p < 0.0001), branched-chain amino acid concentration (time: p < 0.0001), and GlycA concentration (time: p < 0.0001), with no group effect or group by time interactions. CONCLUSIONS All intervention groups prompted a notable beneficial change among biomarkers of insulin resistance and cardiometabolic health. However, the addition of at least moderate-intensity physical activity to a diet-only intervention did not provide any additional benefit. These findings highlight that an average weight loss of approximately 10% profoundly impacts biomarkers of insulin resistance and cardiometabolic disease in adults with overweight or obesity.
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Affiliation(s)
- Katherine A. Collins
- Duke Molecular Physiology Institute and Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA
| | - William E. Kraus
- Duke Molecular Physiology Institute and Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA
- Division of Cardiology, Duke University School of Medicine, Durham, North Carolina, USA
| | | | - Elizabeth R. Hauser
- Duke Molecular Physiology Institute and Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA
- Cooperative Studies Program Epidemiology Center-Durham, Durham VA Health Care System, Durham, North Carolina USA
| | - Wei Lang
- Center on Aging and Mobility, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Rong Jiang
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina, USA
| | - Erik B. Schelbert
- School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Minneapolis Heart Institute East, Saint Paul, Minnesota, USA
| | - Kim M. Huffman
- Duke Molecular Physiology Institute and Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA
- Division of Rheumatology and Immunology, Duke University School of Medicine, Durham, North Carolina, USA
| | - John M. Jakicic
- University of Kansas Medical Center, Department of Internal Medicine, Division of Physical Activity and Weight Management, Kansas City, Kansas, USA
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27
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Rehues P, Girona J, Guardiola M, Plana N, Scicali R, Piro S, Muñiz-Grijalvo O, Díaz-Díaz JL, Recasens L, Pinyol M, Rosales R, Esteban Y, Amigó N, Masana L, Ibarretxe D, Ribalta J. PCSK9 Inhibitors Have Apolipoprotein C-III-Related Anti-Inflammatory Activity, Assessed by 1H-NMR Glycoprotein Profile in Subjects at High or very High Cardiovascular Risk. Int J Mol Sci 2023; 24:2319. [PMID: 36768645 PMCID: PMC9917120 DOI: 10.3390/ijms24032319] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 01/12/2023] [Accepted: 01/16/2023] [Indexed: 01/26/2023] Open
Abstract
Atherosclerosis is a chronic inflammatory disease caused by the accumulation of cholesterol in the intima. Proprotein convertase subtilisin/kexin type 9 inhibitors (iPCSK9) can reduce low-density lipoprotein (LDL) cholesterol levels by 60%, but there is still no evidence that they can lower markers of systemic inflammation such as high-sensitivity C-reactive protein (hsCRP). Acute-phase serum glycoproteins are upregulated in the liver during systemic inflammation, and their role as inflammatory biomarkers is under clinical evaluation. In this observational study, we evaluate the effects of iPCSK9 on glycoproteins (Glyc) A, B and F. Thirty-nine patients eligible for iPCSK9 therapy were enrolled. One sample before and after one to six months of iPCSK9 therapy with alirocumab was obtained from each patient. Lipids, apolipoproteins, hsCRP and PCSK9 levels were measured by biochemical analyses, and the lipoprotein and glycoprotein profiles were measured by 1H nuclear magnetic resonance (1H-NMR). The PCSK9 inhibitor reduced total (36.27%, p < 0.001), LDL (55.05%, p < 0.001) and non-high-density lipoprotein (HDL) (45.11%, p < 0.001) cholesterol, apolipoprotein (apo) C-III (10%, p < 0.001), triglycerides (9.92%, p < 0.001) and glycoprotein signals GlycA (11.97%, p < 0.001), GlycB (3.83%, p = 0.017) and GlycF (7.26%, p < 0.001). It also increased apoA-I (2.05%, p = 0.043) and HDL cholesterol levels (11.58%, p < 0.001). Circulating PCSK9 levels increased six-fold (626.28%, p < 0.001). The decrease in Glyc signals positively correlated with the decrease in triglycerides and apoC-III. In conclusion, in addition to LDL cholesterol, iPCSK9 therapy also induces a reduction in systemic inflammation measured by 1H-NMR glycoprotein signals, which correlates with a decrease in triglycerides and apoC-III.
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Affiliation(s)
- Pere Rehues
- Universitat Rovira i Virgili, Departament de Medicina i Cirurgia, Unitat de Recerca en Lípids i Arteriosclerosi, 43201 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili, 43204 Reus, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas, 28029 Madrid, Spain
| | - Josefa Girona
- Universitat Rovira i Virgili, Departament de Medicina i Cirurgia, Unitat de Recerca en Lípids i Arteriosclerosi, 43201 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili, 43204 Reus, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas, 28029 Madrid, Spain
| | - Montse Guardiola
- Universitat Rovira i Virgili, Departament de Medicina i Cirurgia, Unitat de Recerca en Lípids i Arteriosclerosi, 43201 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili, 43204 Reus, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas, 28029 Madrid, Spain
| | - Núria Plana
- Institut d’Investigació Sanitària Pere Virgili, 43204 Reus, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas, 28029 Madrid, Spain
- Unitat de Medicina Vascular i Metabolisme, Servei de Medicina Interna, Hospital Universitari Sant Joan de Reus, 43204 Reus, Spain
| | - Roberto Scicali
- Department of Clinical and Experimental Medicine, University of Catania, 95131 Catania, Italy
| | - Salvatore Piro
- Department of Clinical and Experimental Medicine, University of Catania, 95131 Catania, Italy
| | - Ovidio Muñiz-Grijalvo
- Unidad Clinico-Experimental de Riesgo Vascular, Hospital Virgen del Rocío, 41013 Sevilla, Spain
| | - José Luis Díaz-Díaz
- Department of Internal Medicine, Complejo Hospitalario Universitario A Coruña, 15006 A Coruña, Spain
| | - Lluís Recasens
- Heart Diseases Biomedical Research Group, IMIM (Hospital del Mar Medical Research Institute), 08003 Barcelona, Spain
- Cardiac Rehabilitation Unit, Department of Cardiology, Hospital del Mar, 08003 Barcelona, Spain
| | - Marta Pinyol
- Universitat Rovira i Virgili, Departament de Medicina i Cirurgia, Unitat de Recerca en Lípids i Arteriosclerosi, 43201 Reus, Spain
| | - Roser Rosales
- Universitat Rovira i Virgili, Departament de Medicina i Cirurgia, Unitat de Recerca en Lípids i Arteriosclerosi, 43201 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili, 43204 Reus, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas, 28029 Madrid, Spain
| | - Yaiza Esteban
- Universitat Rovira i Virgili, Departament de Medicina i Cirurgia, Unitat de Recerca en Lípids i Arteriosclerosi, 43201 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili, 43204 Reus, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas, 28029 Madrid, Spain
| | - Núria Amigó
- Institut d’Investigació Sanitària Pere Virgili, 43204 Reus, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas, 28029 Madrid, Spain
- Biosfer Teslab, 43201 Reus, Spain
| | - Lluís Masana
- Universitat Rovira i Virgili, Departament de Medicina i Cirurgia, Unitat de Recerca en Lípids i Arteriosclerosi, 43201 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili, 43204 Reus, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas, 28029 Madrid, Spain
- Unitat de Medicina Vascular i Metabolisme, Servei de Medicina Interna, Hospital Universitari Sant Joan de Reus, 43204 Reus, Spain
| | - Daiana Ibarretxe
- Universitat Rovira i Virgili, Departament de Medicina i Cirurgia, Unitat de Recerca en Lípids i Arteriosclerosi, 43201 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili, 43204 Reus, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas, 28029 Madrid, Spain
- Unitat de Medicina Vascular i Metabolisme, Servei de Medicina Interna, Hospital Universitari Sant Joan de Reus, 43204 Reus, Spain
| | - Josep Ribalta
- Universitat Rovira i Virgili, Departament de Medicina i Cirurgia, Unitat de Recerca en Lípids i Arteriosclerosi, 43201 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili, 43204 Reus, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas, 28029 Madrid, Spain
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28
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Noel M, Chasman DI, Mora S, Otvos JD, Palmer CD, Parsons PJ, Smoller JW, Cummings RD, Mealer RG. The Inflammation Biomarker GlycA Reflects Plasma N-Glycan Branching. Clin Chem 2023; 69:80-87. [PMID: 36254612 PMCID: PMC10726709 DOI: 10.1093/clinchem/hvac160] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 08/11/2022] [Indexed: 01/20/2023]
Abstract
BACKGROUND GlycA is a nuclear magnetic resonance (NMR) signal in plasma that correlates with inflammation and cardiovascular outcomes in large data sets. The signal is thought to originate from N-acetylglucosamine (GlcNAc) residues of branched plasma N-glycans, though direct experimental evidence is limited. Trace element concentrations affect plasma glycosylation patterns and may thereby also influence GlycA. METHODS NMR GlycA signal was measured in plasma samples from 87 individuals and correlated with MALDI-MS N-glycomics and trace element analysis. We further evaluated the genetic association with GlycA at rs13107325, a single nucleotide polymorphism resulting in a missense variant within SLC39A8, a manganese transporter that influences N-glycan branching, both in our samples and existing genome-wide association studies data from 22 835 participants in the Women's Health Study (WHS). RESULTS GlycA signal was correlated with both N-glycan branching (r2 ranging from 0.125-0.265; all P < 0.001) and copper concentration (r2 = 0.348, P < 0.0001). In addition, GlycA levels were associated with rs13107325 genotype in the WHS (β [standard error of the mean] = -4.66 [1.2674], P = 0.0002). CONCLUSIONS These results provide the first direct experimental evidence linking the GlycA NMR signal to N-glycan branching commonly associated with acute phase reactive proteins involved in inflammation.
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Affiliation(s)
- Maxence Noel
- Department of Surgery, National Center for Functional Glycomics, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Daniel I Chasman
- Preventive Medicine Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Samia Mora
- Preventive Medicine Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Center for Lipid Metabolomics, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Cardiovascular Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - James D Otvos
- Laboratory Corporation of America Holdings, Morrisville, NC, USA
| | - Christopher D Palmer
- New York State Department of Health, Laboratory of Inorganic and Nuclear Chemistry, Wadsworth Center, Albany, NY, USA
- Department of Environmental Health Sciences, School of Public Health, University at Albany, Rensselaer, NY, USA
| | - Patrick J Parsons
- New York State Department of Health, Laboratory of Inorganic and Nuclear Chemistry, Wadsworth Center, Albany, NY, USA
- Department of Environmental Health Sciences, School of Public Health, University at Albany, Rensselaer, NY, USA
| | - Jordan W Smoller
- The Stanley Center for Psychiatric Research at Broad Institute of Harvard/MIT, Cambridge, MA, USA
- Psychiatric and Neurodevelopmental Genetics Unit and Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Center for Precision Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Richard D Cummings
- Department of Surgery, National Center for Functional Glycomics, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Robert G Mealer
- Department of Surgery, National Center for Functional Glycomics, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
- The Stanley Center for Psychiatric Research at Broad Institute of Harvard/MIT, Cambridge, MA, USA
- Psychiatric and Neurodevelopmental Genetics Unit and Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Center for Precision Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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29
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Puig-Jové C, Julve J, Castelblanco E, Julián MT, Amigó N, Andersen HU, Ahluwalia TS, Rossing P, Mauricio D, Jensen MT, Alonso N. The novel inflammatory biomarker GlycA and triglyceride-rich lipoproteins are associated with the presence of subclinical myocardial dysfunction in subjects with type 1 diabetes mellitus. Cardiovasc Diabetol 2022; 21:257. [PMID: 36434633 PMCID: PMC9700974 DOI: 10.1186/s12933-022-01652-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Accepted: 09/23/2022] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND Subjects with Type 1 diabetes mellitus (T1DM) have an increased incidence of heart failure (HF). Several pathophysiological mechanisms have been involved in its development. The aim of this study was to analyze the potential contribution of the advanced lipoprotein profile and plasma glycosylation (GlycA) to the presence of subclinical myocardial dysfunction in subjects with T1DM. METHODS We included subjects from a Danish cohort of T1DM subjects (Thousand & 1 study) with either diastolic and/or systolic subclinical myocardial dysfunction, and a control group without myocardial dysfunction, matched by age, sex and HbA1c. All underwent a transthoracic echocardiogram and an advanced lipoprotein profile obtained by using the NMR-based Liposcale® test. GlycA NMR signal was also analyzed. Systolic dysfunction was defined as left ventricular ejection fraction ≤ 45% and diastolic dysfunction was considered as E/e'≥12 or E/e' 8-12 + volume of the left atrium > 34 ml/m2. To identify a metabolic profile associated with the presence of subclinical myocardial dysfunction, a multivariate supervised model of classification based on least squares regression (PLS-DA regression) was performed. RESULTS One-hundred forty-six subjects had diastolic dysfunction and 18 systolic dysfunction. Compared to the control group, patients with myocardial dysfunction had longer duration of diabetes (p = 0.005), and higher BMI (p = 0.013), serum NTproBNP concentration (p = 0.001), systolic blood pressure (p < 0.001), albuminuria (p < 0.001), and incidence of advanced retinopathy (p < 0.001). The supervised classification model identified a specific pattern associated with myocardial dysfunction, with a capacity to discriminate patients with myocardial dysfunction from controls. PLS-DA showed that triglyceride-rich lipoproteins (TGRLs), such as VLDL (total VLDL particles, large VLDL subclass and VLDL-TG content) and IDL (IDL cholesterol content), as well as the plasma concentration of GlycA, were associated with the presence of subclinical myocardial dysfunction. CONCLUSION Proatherogenic TGRLs and the proinflammatory biomarker Glyc A are strongly associated to myocardial dysfunction in T1DM. These findings suggest a pivotal role of TGRLs and systemic inflammation in the development of subclinical myocardial dysfunction in T1DM.
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Affiliation(s)
- Carlos Puig-Jové
- grid.414875.b0000 0004 1794 4956Department of Endocrinology & Nutrition, University Hospital Mútua de Terrassa, Terrassa, Spain ,grid.7080.f0000 0001 2296 0625Department of Medicine, Autonomous University of Barcelona (UAB), Barcelona, Spain
| | - Josep Julve
- grid.413448.e0000 0000 9314 1427Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III, Barcelona, Spain ,grid.413396.a0000 0004 1768 8905Sant Pau Biomedical Research Institute (IIB Sant Pau), Barcelona, Spain
| | - Esmeralda Castelblanco
- grid.4367.60000 0001 2355 7002Division of Endocrinology, Metabolism and Lipid Research, Washington University School of Medicine in St. Louis, St Louis, MO USA
| | - M Teresa Julián
- grid.413448.e0000 0000 9314 1427Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III, Barcelona, Spain ,Department of Endocrinology & Nutrition, University Hospital and Health Sciences Research Institute Germans Trias i Pujol, Badalona, Spain
| | - Núria Amigó
- grid.413448.e0000 0000 9314 1427Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III, Barcelona, Spain ,Biosfer Teslab SL, Reus, Spain ,grid.410367.70000 0001 2284 9230Department of Basic Medical Sciences, Universitat Rovira i Virgili (URV), Reus, Spain
| | - Henrik U Andersen
- grid.419658.70000 0004 0646 7285Steno Diabetes Center Copenhagen, Herlev, Denmark
| | - Tarunveer S Ahluwalia
- grid.419658.70000 0004 0646 7285Steno Diabetes Center Copenhagen, Herlev, Denmark ,grid.5254.60000 0001 0674 042XDepartment of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Peter Rossing
- grid.419658.70000 0004 0646 7285Steno Diabetes Center Copenhagen, Herlev, Denmark ,grid.5254.60000 0001 0674 042XDepartment of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Dídac Mauricio
- grid.413448.e0000 0000 9314 1427Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III, Barcelona, Spain ,grid.440820.aFaculty of Medicine, University of Vic - Central University of Catalonia (UVic/UCC), Vic, Spain ,grid.413396.a0000 0004 1768 8905Department of Endocrinology & Nutrition, Hospital de la Santa Creu i Sant Pau & Sant Pau Biomedical Research Institute (IIB Sant Pau), Barcelona, Spain
| | - Magnus T Jensen
- grid.413660.60000 0004 0646 7437Department of Cardiology, Copenhagen University Hospital Amager Hvidovre, Copenhagen, Denmark
| | - Núria Alonso
- grid.7080.f0000 0001 2296 0625Department of Medicine, Autonomous University of Barcelona (UAB), Barcelona, Spain ,grid.413448.e0000 0000 9314 1427Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III, Barcelona, Spain ,Department of Endocrinology & Nutrition, University Hospital and Health Sciences Research Institute Germans Trias i Pujol, Badalona, Spain
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Grundler F, Viallon M, Mesnage R, Ruscica M, von Schacky C, Madeo F, Hofer SJ, Mitchell SJ, Croisille P, Wilhelmi de Toledo F. Long-term fasting: Multi-system adaptations in humans (GENESIS) study-A single-arm interventional trial. Front Nutr 2022; 9:951000. [PMID: 36466423 PMCID: PMC9713250 DOI: 10.3389/fnut.2022.951000] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 10/31/2022] [Indexed: 09/10/2024] Open
Abstract
Fasting provokes fundamental changes in the activation of metabolic and signaling pathways leading to longer and healthier lifespans in animal models. Although the involvement of different metabolites in fueling human fasting metabolism is well known, the contribution of tissues and organs to their supply remains partly unclear. Also, changes in organ volume and composition remain relatively unexplored. Thus, processes involved in remodeling tissues during fasting and food reintroduction need to be better understood. Therefore, this study will apply state-of-the-art techniques to investigate the effects of long-term fasting (LF) and food reintroduction in humans by a multi-systemic approach focusing on changes in body composition, organ and tissue volume, lipid transport and storage, sources of protein utilization, blood metabolites, and gut microbiome profiles in a single cohort. This is a prospective, single-arm, monocentric trial. One hundred subjects will be recruited and undergo 9 ± 3 day-long fasting periods (250 kcal/day). We will assess changes in the composition of organs, bones and blood lipid profiles before and after fasting, as well as high-density lipoprotein (HDL) transport and storage, untargeted metabolomics of peripheral blood mononuclear cells (PBMCs), protein persulfidation and shotgun metagenomics of the gut microbiome. The first 32 subjects, fasting for 12 days, will be examined in more detail by magnetic resonance imaging (MRI) and spectroscopy to provide quantitative information on changes in organ volume and function, followed by an additional follow-up examination after 1 and 4 months. The study protocol was approved by the ethics board of the State Medical Chamber of Baden-Württemberg on 26.07.2021 and registered at ClinicalTrials.gov (NCT05031598). The results will be disseminated through peer-reviewed publications, international conferences and social media. Clinical trial registration [ClinicalTrials.gov], identifier [NCT05031598].
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Affiliation(s)
| | - Magalie Viallon
- UJM-Saint-Etienne, INSA, CNRS UMR 5520, INSERM U1206, CREATIS, F-42023, Université de Lyon, Saint-Étienne, France
- Department of Radiology, University Hospital Saint-Étienne, Saint-Étienne, France
| | - Robin Mesnage
- Buchinger Wilhelmi Clinic, Überlingen, Germany
- Department of Medical and Molecular Genetics, Faculty of Life Sciences and Medicine, King’s College London, London, United Kingdom
| | - Massimiliano Ruscica
- Department of Pharmacological and Biomolecular Sciences, Università degli Studi di Milano, Milan, Italy
| | | | - Frank Madeo
- Institute of Molecular Biosciences, NAWI Graz, University of Graz, Graz, Austria
- BioHealth Graz, Graz, Austria
- BioTechMed Graz, Graz, Austria
| | - Sebastian J. Hofer
- Institute of Molecular Biosciences, NAWI Graz, University of Graz, Graz, Austria
- BioHealth Graz, Graz, Austria
- BioTechMed Graz, Graz, Austria
| | - Sarah J. Mitchell
- Department of Health Sciences and Technology, ETH Zürich, Schwerzenbach, Switzerland
| | - Pierre Croisille
- UJM-Saint-Etienne, INSA, CNRS UMR 5520, INSERM U1206, CREATIS, F-42023, Université de Lyon, Saint-Étienne, France
- Department of Radiology, University Hospital Saint-Étienne, Saint-Étienne, France
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31
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Birukov A, Plavša B, Eichelmann F, Kuxhaus O, Hoshi RA, Rudman N, Štambuk T, Trbojević-Akmačić I, Schiborn C, Morze J, Mihelčić M, Cindrić A, Liu Y, Demler O, Perola M, Mora S, Schulze MB, Lauc G, Wittenbecher C. Immunoglobulin G N-Glycosylation Signatures in Incident Type 2 Diabetes and Cardiovascular Disease. Diabetes Care 2022; 45:2729-2736. [PMID: 36174116 PMCID: PMC9679264 DOI: 10.2337/dc22-0833] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 08/20/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE N-glycosylation is a functional posttranslational modification of immunoglobulins (Igs). We hypothesized that specific IgG N-glycans are associated with incident type 2 diabetes and cardiovascular disease (CVD). RESEARCH DESIGN AND METHODS We performed case-cohort studies within the population-based European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam cohort (2,127 in the type 2 diabetes subcohort [741 incident cases]; 2,175 in the CVD subcohort [417 myocardial infarction and stroke cases]). Relative abundances of 24 IgG N-glycan peaks (IgG-GPs) were measured by ultraperformance liquid chromatography, and eight glycosylation traits were derived based on structural similarity. End point-associated IgG-GPs were preselected with fractional polynomials, and prospective associations were estimated in confounder-adjusted Cox models. Diabetes risk associations were validated in three independent studies. RESULTS After adjustment for confounders and multiple testing correction, IgG-GP7, IgG-GP8, IgG-GP9, IgG-GP11, and IgG-GP19 were associated with type 2 diabetes risk. A score based on these IgG-GPs was associated with a higher diabetes risk in EPIC-Potsdam and independent validation studies (843 total cases, 3,149 total non-cases, pooled estimate per SD increase 1.50 [95% CI 1.37-1.64]). Associations of IgG-GPs with CVD risk differed between men and women. In women, IgG-GP9 was inversely associated with CVD risk (hazard ratio [HR] per SD 0.80 [95% CI 0.65-0.98]). In men, a weighted score based on IgG-GP19 and IgG-GP23 was associated with higher CVD risk (HR per SD 1.47 [95% CI 1.20-1.80]). In addition, several derived traits were associated with cardiometabolic disease incidence. CONCLUSIONS Selected IgG N-glycans are associated with cardiometabolic risk beyond classic risk factors, including clinical biomarkers.
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Affiliation(s)
- Anna Birukov
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Branimir Plavša
- University of Zagreb Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
| | - Fabian Eichelmann
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Olga Kuxhaus
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Rosangela Akemi Hoshi
- Center for Lipid Metabolomics, Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Najda Rudman
- University of Zagreb Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
| | | | | | - Catarina Schiborn
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Jakub Morze
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Cardiology and Internal Medicine, University of Warmia and Mazury, Olsztyn, Poland
| | | | - Ana Cindrić
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Yanyan Liu
- Center for Lipid Metabolomics, Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Olga Demler
- Center for Lipid Metabolomics, Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- Computer Science Department, ETH Zurich, Zurich, Switzerland
| | - Markus Perola
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Samia Mora
- Center for Lipid Metabolomics, Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Gordan Lauc
- University of Zagreb Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Clemens Wittenbecher
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- SciLifeLab, Division of Food Science and Nutrition, Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
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32
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Louca P, Berry SE, Bermingham K, Franks PW, Wolf J, Spector TD, Valdes AM, Chowienczyk P, Menni C. Postprandial Responses to a Standardised Meal in Hypertension: The Mediatory Role of Visceral Fat Mass. Nutrients 2022; 14:4499. [PMID: 36364763 PMCID: PMC9655022 DOI: 10.3390/nu14214499] [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: 09/18/2022] [Revised: 10/17/2022] [Accepted: 10/18/2022] [Indexed: 11/16/2022] Open
Abstract
Postprandial insulinaemia, triglyceridaemia and measures of inflammation are thought to be more closely associated with cardiovascular risk than fasting measures. Although hypertension is associated with altered fasting metabolism, it is unknown as to what extent postprandial lipaemic and inflammatory metabolic responses differ between hypertensive and normotensive individuals. Linear models adjusting for age, sex, body mass index (BMI), visceral fat mass (VFM) and multiple testing (false discovery rate), were used to investigate whether hypertensive cases and normotensive controls had different fasting and postprandial (in response to two standardised test meal challenges) lipaemic, glycaemic, insulinaemic, and inflammatory (glycoprotein acetylation (GlycA)) responses in 989 participants from the ZOE PREDICT-1 nutritional intervention study. Compared to normotensive controls, hypertensive individuals had significantly higher fasting and postprandial insulin, triglycerides, and markers of inflammation after adjusting for age, sex, and BMI (effect size: Beta (Standard Error) ranging from 0.17 (0.08), p = 0.04 for peak insulin to 0.29 (0.08), p = 4.4 × 10-4 for peak GlycA). No difference was seen for postprandial glucose. When further adjusting for VFM effects were attenuated. Causal mediation analysis suggests that 36% of the variance in postprandial insulin response and 33.8% of variance in postprandial triglyceride response were mediated by VFM. Hypertensive individuals have different postprandial insulinaemic and lipaemic responses compared to normotensive controls and this is partially mediated by visceral fat mass. Consequently, reducing VFM should be a key focus of health interventions in hypertension. Trial registration: The ClinicalTrials.gov registration identifier is NCT03479866.
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Affiliation(s)
- Panayiotis Louca
- Department of Twin Research, King’s College London, St Thomas’ Hospital Campus, London SE1 7EH, UK
| | - Sarah E. Berry
- Department of Nutritional Sciences, King’s College London, Franklin Wilkins Building, London SE1 9NH, UK
| | - Kate Bermingham
- Department of Twin Research, King’s College London, St Thomas’ Hospital Campus, London SE1 7EH, UK
- Department of Nutritional Sciences, King’s College London, Franklin Wilkins Building, London SE1 9NH, UK
| | - Paul W. Franks
- Genetic & Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, SE-20502 Malmo, Sweden
| | | | - Tim D. Spector
- Department of Twin Research, King’s College London, St Thomas’ Hospital Campus, London SE1 7EH, UK
| | - Ana M. Valdes
- Nottingham NIHR Biomedical Research Centre, School of Medicine, University of Nottingham, Nottingham NG5 1PB, UK
| | - Phil Chowienczyk
- Vascular Risk & Surgery, King’s College London, St Thomas’ Hospital Campus, London SE1 7EH, UK
| | - Cristina Menni
- Department of Nutritional Sciences, King’s College London, Franklin Wilkins Building, London SE1 9NH, UK
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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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Sevilla-Gonzalez MDR, Manning AK, Westerman KE, Aguilar-Salinas CA, Deik A, Clish CB. Metabolomic markers of glucose regulation after a lifestyle intervention in prediabetes. BMJ Open Diabetes Res Care 2022; 10:10/5/e003010. [PMID: 36253014 PMCID: PMC9577902 DOI: 10.1136/bmjdrc-2022-003010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 09/16/2022] [Indexed: 11/07/2022] Open
Abstract
INTRODUCTION Disentangling the specific factors that regulate glycemia from prediabetes to normoglycemia could improve type 2 diabetes prevention strategies. Metabolomics provides substantial insights into the biological understanding of environmental factors such as diet. This study aimed to identify metabolomic markers of regression to normoglycemia in the context of a lifestyle intervention (LSI) in individuals with prediabetes. RESEARCH DESIGN AND METHODS We conducted a single-arm intervention study with 24 weeks of follow-up. Eligible study participants had at least one prediabetes criteria according to the American Diabetes Association guidelines, and body mass index between 25 and 45 kg/m2. LSI refers to a hypocaloric diet and >150 min of physical activity per week. Regression to normoglycemia (RNGR) was defined as achieving hemoglobin A1c (HbA1c) <5.5% in the final visit. Baseline and postintervention plasma metabolomic profiles were measured using liquid chromatography-tandem mass spectrometry. To select metabolites associated with RNGR, we conducted the least absolute shrinkage and selection operator-penalized regressions. RESULTS The final sample was composed of 82 study participants. Changes in three metabolites were significantly associated with regression to normoglycemia; N-acetyl-D-galactosamine (OR=0.54; 95% CI 0.32 to 0.82), putrescine (OR=0.90, 95% CI 0.81 to 0.98), and 7-methylguanine (OR=1.06; 95% CI 1.02 to 1.17), independent of HbA1c and weight loss. In addition, metabolomic perturbations due to LSI displayed enrichment of taurine and hypotaurine metabolism pathway (p=0.03) compatible with biomarkers of protein consumption, lower red meat and animal fats and higher seafood and vegetables. CONCLUSIONS Evidence from this study suggests that specific metabolomic markers have an influence on glucose regulation in individuals with prediabetes after 24 weeks of LSI independently of other treatment effects such as weight loss.
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Affiliation(s)
- Magdalena Del Rocio Sevilla-Gonzalez
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Metabolism Program, The Broad Insitute of MIT and Harvard, Cambridge, MA, USA
- Unidad de Investigacion en Enfermedades Metabólicas, Insituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, México City, México City, Mexico
| | - Alisa K Manning
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Metabolism Program, The Broad Insitute of MIT and Harvard, Cambridge, MA, USA
| | - Kenneth E Westerman
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Metabolism Program, The Broad Insitute of MIT and Harvard, Cambridge, MA, USA
| | - Carlos Alberto Aguilar-Salinas
- Unidad de Investigacion en Enfermedades Metabólicas, Insituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, México City, México City, Mexico
| | - Amy Deik
- Metabolomics Platform, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Clary B Clish
- Metabolomics Platform, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
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GlycA, hsCRP differentially associated with MI, ischemic stroke: In the Dallas Heart Study and Multi-Ethnic Study of Atherosclerosis: GlycA, hsCRP Differentially Associated MI, Stroke. Am J Prev Cardiol 2022; 12:100373. [PMID: 36061365 PMCID: PMC9428838 DOI: 10.1016/j.ajpc.2022.100373] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 08/07/2022] [Accepted: 08/17/2022] [Indexed: 11/23/2022] Open
Abstract
Objective Inflammatory markers are associated with cardiovascular disease (CVD); however, the ability to specifically predict myocardial infarction (MI) as well as ischemic stroke remains unknown. There has not been a direct comparison of the associations between GlycA and hsCRP and MI and ischemic stroke in a multi-ethnic pooled cohort. Methods Multi-center, multi-ethnic, population-based community prospective pooled cohort of the Dallas Heart Study (DHS) and Multi-Ethnic Study of Atherosclerosis (MESA). 9,785 participants without baseline CVD enrolled with median follow-up of 13.4 years. Fatal/nonfatal MI and fatal/nonfatal ischemic stroke were assessed separately and then combined. Results GlycA was moderately associated with hsCRP (R=0.58 in DHS and R=0.55 in MESA). In adjusted Cox proportional hazards models with competing risk adjusted for both inflammatory markers, GlycA was directly associated with MI (HR Q4 vs. Q1 1.90, 95% CI 1.39 to 2.58), whereas hsCRP was not (HR Q4 vs. Q1 0.92, 95% CI 0.70 to 1.21). Conversely, hsCRP was directly associated with ischemic stroke (HR Q4 vs. Q1 1.73, 95% CI 1.15 to 2.59), but GlycA was not (HR Q4 vs. Q1 1.21, 95% CI 0.77 to 1.90). GlycA improved net reclassification for MI and hsCRP did so for ischemic stroke. Conclusions Although both GlycA and hsCRP were associated with incident CVD, GlycA more strongly predicted incident MI, and hsCRP more strongly predicted ischemic stroke.
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36
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Xie Y, Butler M. Serum N-glycomic profiling may provide potential signatures for surveillance of COVID-19. Glycobiology 2022; 32:871-885. [PMID: 35925863 PMCID: PMC9487901 DOI: 10.1093/glycob/cwac051] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 07/19/2022] [Accepted: 07/21/2022] [Indexed: 01/08/2023] Open
Abstract
Disease development and progression are often associated with aberrant glycosylation, indicating that changes in biological fluid glycome may potentially serve as disease signatures. The corona virus disease-2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) represents a significant threat to global human health. However, the effect of SARS-CoV-2 infection on the overall serum N-glycomic profile has been largely unexplored. Here, we extended our 96-well-plate-based high-throughput, high-sensitivity N-glycan profiling platform further with the aim of elucidating potential COVID-19-associated serum N-glycomic alterations. Use of this platform revealed both similarities and differences between the serum N-glycomic fingerprints of COVID-19 positive and control cohorts. Although there were no specific glycan peaks exclusively present or absent in COVID-19 positive cohort, this cohort showed significantly higher levels of glycans and variability. On the contrary, the overall N-glycomic profiles for healthy controls were well-contained within a narrow range. From the serum glycomic analysis, we were able to deduce changes in different glycan subclasses sharing certain structural features. Of significance was the hyperbranched and hypersialylated glycans and their derived glycan subclass traits. T-distributed stochastic neighbour embedding (tSNE) and hierarchical heatmap clustering analysis were performed to identify 13 serum glycomic variables that potentially distinguished the COVID-19 positive from healthy controls. Such serum N-glycomic changes described herein may indicate or correlate to the changes in serum glycoproteins upon COVID-19 infection. Furthermore, mapping the serum N-glycome following SARS-CoV-2 infection may help us better understand the disease and enable "Long-COVID" surveillance to capture the full spectrum of persistent symptoms.
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Affiliation(s)
- Yongjing Xie
- National Institute for Bioprocessing Research and Training, Foster Avenue, Mount Merrion, Blackrock, Co. Dublin, Ireland
| | - Michael Butler
- National Institute for Bioprocessing Research and Training, Foster Avenue, Mount Merrion, Blackrock, Co. Dublin, Ireland
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37
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Pham C, Bekkering S, O'Hely M, Burgner D, Thomson S, Vuillermin P, Collier F, Marx W, Mansell T, Symeonides C, Sly PD, Tang MLK, Saffery R, Ponsonby AL. Infant inflammation predicts childhood emotional and behavioral problems and partially mediates socioeconomic disadvantage. Brain Behav Immun 2022; 104:83-94. [PMID: 35618227 DOI: 10.1016/j.bbi.2022.05.011] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Revised: 04/14/2022] [Accepted: 05/20/2022] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Emotional and behavioral problems (EBP) are common in children. Environmental factors like socioeconomic disadvantage influence EBP pathogenesis and can trigger inflammation. However, the link between early inflammation-EBP in children is unclear. We investigated the associations between i) infant inflammatory biomarkers and subsequent EBP and ii) early life environmental factors and EBP and assessed whether infant inflammation mediated these associations. METHODS Inflammatory biomarkers glycoprotein acetyls (GlycA) and high-sensitivity C-reactive protein (hsCRP) were quantified at birth and 12 months in a population-derived birth cohort, the Barwon Infant Study. Early life factors including demographic, prenatal, and perinatal factors were collected from antenatal to the two-year period. Internalizing and externalizing problems at age two were measured by the Child Behavior Checklist. Prospective associations were examined by multivariable regression analyses adjusted for potential confounders. Indirect effects of early life factors on EBP through inflammation were identified using mediation analyses. RESULTS Elevated GlycA levels at birth (GlycAbirth) were associated with greater internalizing problems at age two (β = 1.32 per SD increase in GlycA; P = 0.001). Inflammation at birth had a stronger magnitude of effect with later EBP than at 12 months. GlycAbirth partially mediated the associations between lower household income (6%), multiparity (12%) and greater number of older siblings (13%) and EBP. Patterns were less evident for hsCRP or externalizing problems. CONCLUSIONS GlycAbirth was positively associated with EBP at age two and partially mediated the association between several indicators of socioeconomic disadvantage and EBP. Prenatal and perinatal inflammation may be relevant to early neurodevelopment and emotional health.
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Affiliation(s)
- Cindy Pham
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, VIC 3052, Australia; Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC 3052, Australia; Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC 3052, Australia
| | - Siroon Bekkering
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, VIC 3052, Australia; Department of Internal Medicine, Radboud University Medical Center, Nijmegen, GA 6625, the Netherlands
| | - Martin O'Hely
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, VIC 3052, Australia; School of Medicine, Deakin University, Geelong, VIC 3220, Australia
| | - David Burgner
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, VIC 3052, Australia; Department of Paediatrics, University of Melbourne, Parkville, VIC 3052, Australia
| | - Sarah Thomson
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC 3052, Australia
| | - Peter Vuillermin
- School of Medicine, Deakin University, Geelong, VIC 3220, Australia; Barwon Health, Geelong, VIC 3220, Australia
| | - Fiona Collier
- School of Medicine, Deakin University, Geelong, VIC 3220, Australia; Barwon Health, Geelong, VIC 3220, Australia
| | - Wolfgang Marx
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC 3052, Australia; School of Medicine, Deakin University, Geelong, VIC 3220, Australia
| | - Toby Mansell
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, VIC 3052, Australia; Department of Paediatrics, University of Melbourne, Parkville, VIC 3052, Australia
| | - Christos Symeonides
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, VIC 3052, Australia; Department of Paediatrics, University of Melbourne, Parkville, VIC 3052, Australia
| | - Peter D Sly
- Child Health Research Centre, University of Queensland, South Brisbane, QLD 4101, Australia
| | - Mimi L K Tang
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, VIC 3052, Australia; Department of Paediatrics, University of Melbourne, Parkville, VIC 3052, Australia
| | - Richard Saffery
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, VIC 3052, Australia; Department of Paediatrics, University of Melbourne, Parkville, VIC 3052, Australia
| | - Anne-Louise Ponsonby
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, VIC 3052, Australia; Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC 3052, Australia; Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC 3052, Australia.
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Tian C, Mahara G, Zhang H, Tan X. Association of immunoglobulin G N-glycosylation with carotid atherosclerotic plaque phenotypes and actual clinical cardiovascular events: a study protocol for a longitudinal prospective cohort study. BMJ Open 2022; 12:e058922. [PMID: 35868824 PMCID: PMC9316026 DOI: 10.1136/bmjopen-2021-058922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 07/01/2022] [Indexed: 02/05/2023] Open
Abstract
INTRODUCTION Immune-inflammatory response plays a key role in the pathogenesis of atherosclerosis. IgG N-glycosylation is reported to be associated with the 10-year atherosclerotic cardiovascular disease risk score and subclinical atherosclerosis. However, the relationship of IgG glycosylation with actual clinical cardiovascular disease (CVD) events and plaque phenotypes has rarely been investigated. Therefore, this study aims to understand whether IgG glycosylation traits are correlated with actual clinical CVD events and plaque phenotypes. METHODS AND ANALYSIS Designed to verify the efficacy of IgG glycosylation as a risk for CVD events and screen potential biomarkers of CVD to prevent atherosclerosis occurrence, this longitudinal prospective cohort study will be conducted at the First Affiliated Hospital of Shantou University Medical College, China. In total, 2720 participants routinely examined by carotid ultrasound will be divided into different groups according to plaque phenotype characteristics. Ultra-performance liquid chromatography will be performed to separate and detect IgG N-glycans in serum collected at baseline and at the end of the first, second and third years. The primary outcome is the actual clinical CVD composite events, including non-fatal myocardial infarction, death due to coronary heart disease, and fatal or non-fatal stroke. ETHICS AND DISSEMINATION The Clinical Ethics Committee of the First Affiliated Hospital of Shantou University Medical College approved this study (number: B-2021-127). Findings of this study will be submitted for publication in peer-reviewed journals. TRIAL REGISTRATION NUMBER ChiCTR2100048740.
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Affiliation(s)
- Cuihong Tian
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
- Centre for Precision Health, Edith Cowan University, Perth, Western Australia, Australia
| | - Gehendra Mahara
- Clinical Research Centre, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Hongxia Zhang
- Health Care Centre, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Xuerui Tan
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
- Clinical Research Centre, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
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Mansell T, Saffery R, Burugupalli S, Ponsonby AL, Tang MLK, O'Hely M, Bekkering S, Smith AAT, Rowland R, Ranganathan S, Sly PD, Vuillermin P, Collier F, Meikle P, Burgner D. Early life infection and proinflammatory, atherogenic metabolomic and lipidomic profiles in infancy: a population-based cohort study. eLife 2022; 11:75170. [PMID: 35535496 PMCID: PMC9090335 DOI: 10.7554/elife.75170] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Accepted: 04/24/2022] [Indexed: 01/03/2023] Open
Abstract
Background: The risk of adult onset cardiovascular and metabolic (cardiometabolic) disease accrues from early life. Infection is ubiquitous in infancy and induces inflammation, a key cardiometabolic risk factor, but the relationship between infection, inflammation, and metabolic profiles in early childhood remains unexplored. We investigated relationships between infection and plasma metabolomic and lipidomic profiles at age 6 and 12 months, and mediation of these associations by inflammation. Methods: Matched infection, metabolomics, and lipidomics data were generated from 555 infants in a pre-birth longitudinal cohort. Infection data from birth to 12 months were parent-reported (total infections at age 1, 3, 6, 9, and 12 months), inflammation markers (high-sensitivity C-reactive protein [hsCRP]; glycoprotein acetyls [GlycA]) were quantified at 12 months. Metabolic profiles were 12-month plasma nuclear magnetic resonance metabolomics (228 metabolites) and liquid chromatography/mass spectrometry lipidomics (776 lipids). Associations were evaluated with multivariable linear regression models. In secondary analyses, corresponding inflammation and metabolic data from birth (serum) and 6-month (plasma) time points were used. Results: At 12 months, more frequent infant infections were associated with adverse metabolomic (elevated inflammation markers, triglycerides and phenylalanine, and lower high-density lipoprotein [HDL] cholesterol and apolipoprotein A1) and lipidomic profiles (elevated phosphatidylethanolamines and lower trihexosylceramides, dehydrocholesteryl esters, and plasmalogens). Similar, more marked, profiles were observed with higher GlycA, but not hsCRP. GlycA mediated a substantial proportion of the relationship between infection and metabolome/lipidome, with hsCRP generally mediating a lower proportion. Analogous relationships were observed between infection and 6-month inflammation, HDL cholesterol, and apolipoprotein A1. Conclusions: Infants with a greater infection burden in the first year of life had proinflammatory and proatherogenic plasma metabolomic/lipidomic profiles at 12 months of age that in adults are indicative of heightened risk of cardiovascular disease, obesity, and type 2 diabetes. These findings suggest potentially modifiable pathways linking early life infection and inflammation with subsequent cardiometabolic risk. Funding: The establishment work and infrastructure for the BIS was provided by the Murdoch Children’s Research Institute (MCRI), Deakin University, and Barwon Health. Subsequent funding was secured from National Health and Medical Research Council of Australia (NHMRC), The Shepherd Foundation, The Jack Brockhoff Foundation, the Scobie & Claire McKinnon Trust, the Shane O’Brien Memorial Asthma Foundation, the Our Women’s Our Children’s Fund Raising Committee Barwon Health, the Rotary Club of Geelong, the Minderoo Foundation, the Ilhan Food Allergy Foundation, GMHBA, Vanguard Investments Australia Ltd, and the Percy Baxter Charitable Trust, Perpetual Trustees. In-kind support was provided by the Cotton On Foundation and CreativeForce. The study sponsors were not involved in the collection, analysis, and interpretation of data; writing of the report; or the decision to submit the report for publication. Research at MCRI is supported by the Victorian Government’s Operational Infrastructure Support Program. This work was also supported by NHMRC Senior Research Fellowships to ALP (1008396); DB (1064629); and RS (1045161) , NHMRC Investigator Grants to ALP (1110200) and DB (1175744), NHMRC-A*STAR project grant (1149047). TM is supported by an MCRI ECR Fellowship. SB is supported by the Dutch Research Council (452173113).
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Affiliation(s)
- Toby Mansell
- Murdoch Children's Research Institute, Parkville, Australia.,Department of Paediatrics, University of Melbourne, Parkville, Australia
| | - Richard Saffery
- Murdoch Children's Research Institute, Parkville, Australia.,Department of Paediatrics, University of Melbourne, Parkville, Australia
| | - Satvika Burugupalli
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Anne-Louise Ponsonby
- Murdoch Children's Research Institute, Parkville, Australia.,Department of Paediatrics, University of Melbourne, Parkville, Australia.,The Florey Institute of Neuroscience and Mental Health, Parkville, Australia
| | - Mimi L K Tang
- Murdoch Children's Research Institute, Parkville, Australia.,Department of Paediatrics, University of Melbourne, Parkville, Australia.,Royal Children's Hospital, Parkville, Australia
| | - Martin O'Hely
- Murdoch Children's Research Institute, Parkville, Australia.,Deakin University, Geelong, Australia
| | - Siroon Bekkering
- Murdoch Children's Research Institute, Parkville, Australia.,Department of Internal Medicine, Radboud Institute for Molecular Life Sciences, Radboud University Medical Centre, Nijmegen, Netherlands
| | | | | | - Sarath Ranganathan
- Murdoch Children's Research Institute, Parkville, Australia.,Department of Paediatrics, University of Melbourne, Parkville, Australia.,Royal Children's Hospital, Parkville, Australia
| | - Peter D Sly
- Murdoch Children's Research Institute, Parkville, Australia.,Child Health Research Centre, University of Queensland, Brisbane, Australia
| | - Peter Vuillermin
- Murdoch Children's Research Institute, Parkville, Australia.,Deakin University, Geelong, Australia.,Child Health Research Unit, Barwon Health, Geelong, Australia
| | - Fiona Collier
- Deakin University, Geelong, Australia.,Child Health Research Unit, Barwon Health, Geelong, Australia
| | - Peter Meikle
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia
| | - David Burgner
- Department of Paediatrics, University of Melbourne, Parkville, Australia.,Department of Paediatrics, Monash University, Clayton, Australia
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Decreasing severity of obesity from early to late adolescence and young adulthood associates with longitudinal metabolomic changes implicated in lower cardiometabolic disease risk. Int J Obes (Lond) 2022; 46:646-654. [PMID: 34987202 DOI: 10.1038/s41366-021-01034-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 11/11/2021] [Accepted: 11/19/2021] [Indexed: 12/29/2022]
Abstract
BACKGROUND Obesity in childhood is associated with metabolic dysfunction, adverse subclinical cardiovascular phenotypes and adult cardiovascular disease. Longitudinal studies of youth with obesity investigating changes in severity of obesity with metabolomic profiles are sparse. We investigated associations between (i) baseline body mass index (BMI) and follow-up metabolomic profiles; (ii) change in BMI with follow-up metabolomic profiles; and (iii) change in BMI with change in metabolomic profiles (mean interval 5.5 years). METHODS Participants (n = 98, 52% males) were recruited from the Childhood Overweight Biorepository of Australia study. At baseline and follow-up, BMI and the % >95th BMI-centile (percentage above the age-, and sex-specific 95th BMI-centile) indicate severity of obesity, and nuclear magnetic resonance spectroscopy profiling of 72 metabolites/ratios, log-transformed and scaled to standard deviations (SD), was performed in fasting serum. Fully adjusted linear regression analyses were performed. RESULTS Mean (SD) age and % >95th BMI-centile were 10.3 (SD 3.5) years and 134.6% (19.0) at baseline, 15.8 (3.7) years and 130.7% (26.2) at follow-up. Change in BMI over time, but not baseline BMI, was associated with metabolites at follow-up. Each unit (kg/m2) decrease in sex- and age-adjusted BMI was associated with change (SD; 95% CI; p value) in metabolites of: alanine (-0.07; -0.11 to -0.04; p < 0.001), phenylalanine (-0.07; -0.10 to -0.04; p < 0.001), tyrosine (-0.07; -0.10 to -0.04; p < 0.001), glycoprotein acetyls (-0.06; -0.09 to -0.04; p < 0.001), degree of fatty acid unsaturation (0.06; 0.02 to 0.10; p = 0.003), monounsaturated fatty acids (-0.04; -0.07 to -0.01; p = 0.004), ratio of ApoB/ApoA1 (-0.05; -0.07 to -0.02; p = 0.001), VLDL-cholesterol (-0.04; -0.06 to -0.01; p = 0.01), HDL cholesterol (0.05; 0.08 to 0.1; p = 0.01), pyruvate (-0.08; -0.11 to -0.04; p < 0.001), acetoacetate (0.07; 0.02 to 0.11; p = 0.005) and 3-hydroxybuturate (0.07; 0.02 to 0.11; p = 0.01). Results using the % >95th BMI-centile were largely consistent with age- and sex-adjusted BMI measures. CONCLUSIONS In children and young adults with obesity, decreasing the severity of obesity was associated with changes in metabolomic profiles consistent with lower cardiovascular and metabolic disease risk in adults.
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Multi-omics of human plasma reveals molecular features of dysregulated inflammation and accelerated aging in schizophrenia. Mol Psychiatry 2022; 27:1217-1225. [PMID: 34741130 PMCID: PMC9054664 DOI: 10.1038/s41380-021-01339-z] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 09/09/2021] [Accepted: 10/01/2021] [Indexed: 11/08/2022]
Abstract
Schizophrenia is a devastating psychiatric illness that detrimentally affects a significant portion of the worldwide population. Aging of schizophrenia patients is associated with reduced longevity, but the potential biological factors associated with aging in this population have not yet been investigated in a global manner. To address this gap in knowledge, the present study assesses proteomics and metabolomics profiles in the plasma of subjects afflicted with schizophrenia compared to non-psychiatric control patients over six decades of life. Global, unbiased analyses of circulating blood plasma can provide knowledge of prominently dysregulated molecular pathways and their association with schizophrenia, as well as features of aging and gender in this disease. The resulting data compiled in this study represent a compendium of molecular changes associated with schizophrenia over the human lifetime. Supporting the clinical finding of schizophrenia's association with more rapid aging, both schizophrenia diagnosis and age significantly influenced the plasma proteome in subjects assayed. Schizophrenia was broadly associated with prominent dysregulation of inflammatory and metabolic system components. Proteome changes demonstrated increased abundance of biomarkers for risk of physiologic comorbidities of schizophrenia, especially in younger individuals. These findings advance our understanding of the molecular etiology of schizophrenia and its associated comorbidities throughout the aging process.
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Glycoprotein Profile Measured by a 1H-Nuclear Magnetic Resonance Based on Approach in Patients with Diabetes: A New Robust Method to Assess Inflammation. Life (Basel) 2021; 11:life11121407. [PMID: 34947938 PMCID: PMC8709228 DOI: 10.3390/life11121407] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 12/12/2021] [Accepted: 12/15/2021] [Indexed: 01/04/2023] Open
Abstract
Patients with type 2 diabetes mellitus (T2DM) and atherogenic dyslipidemia (AD) are at higher risk of developing cardiovascular diseases (CVDs), so an interest in discovering inflammation biomarkers as indicators of processes related to CVD progression is increasing. This study aims (a) to characterize the plasma glycoprotein profile of a cohort of 504 participants, including patients with and without T2DM and/or AD and controls, and (b) to study the associations between the glycoprotein profile and other lipid and clinical variables in these populations. We characterized the plasma glycoprotein profiles by using 1H-NMR. We quantified the two peaks associated with the concentration of plasma glycoproteins (GlycA and GlycB) and their height/width ratios (H/W GlycA and H/W GlycB), as higher and narrower signals have been related to inflammation. We also quantified GlycF, the signal of which is proportional to the concentration of the acetyl groups of free N-acetylglucosamine, N-acetylgalactosamine, and N-acetylneuraminic in the samples. The lipoprotein profile was also determined (Liposcale®). Standard clinical and anthropometric measurements were taken. Multivariate classification models were developed to study the differences between the study groups. Reduced HDL-C levels, increased small dense LDL and HDL particles, and elevated TG levels were significantly associated with glycoprotein variables. Glycoprotein values in the diagnostic groups were significantly different from those in the CT groups. AD and DM conditions together contribute to a positive and significant synergetic effect on the GlycA area (<0.05) and the H/W ratios of GlycA (<0.01) and GlycB (<0.05). By adding the new glycoprotein variables to the traditionally used marker of inflammation C-reactive protein (CRP), the AUC increased sharply for classification models between the CT group and the rest (0.68 to 0.84), patients with and without dyslipidemia (0.54 to 0.86), and between patients with and without diabetes (0.55 to 0.75). 1H-NMR-derived glycoproteins can be used as possible markers of the degree of inflammation associated with T2DM and AD.
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Escobar MQ, Tasic L, da Costa TBBC, Stanisic D, Montalvão S, Huber S, Annichino-Bizzacchi JM. Serum Metabolic Profiles Based on Nuclear Magnetic Resonance Spectroscopy among Patients with Deep Vein Thrombosis and Healthy Controls. Metabolites 2021; 11:874. [PMID: 34940632 PMCID: PMC8704499 DOI: 10.3390/metabo11120874] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 12/10/2021] [Accepted: 12/10/2021] [Indexed: 11/16/2022] Open
Abstract
Deep venous thrombosis (DVT) is associated with significant morbidity and mortality. Studies on changes in the level of metabolites could have the potential to reveal biomarkers that can assist in the early detection, diagnosis, monitoring of DVT progression, response to treatment, or recurrence of DVT. In this scenario, the metabolomic analysis can provide a better understanding of the biochemical dysregulations of thrombosis. Using an untargeted metabolomic approach through magnetic resonance spectroscopy and multi- and univariate statistical analysis, we compared 40 patients with previous venous thrombosis and 40 healthy individuals, and we showed important serum differences between patients and controls, especially in the spectral regions that correspond to glucose, lipids, unsaturated lipids, and glycoprotein A. Considering the groups depending on risk factors and the local of the previous episode (lower limbs or cerebral system), we also noticed differences in metabolites linked to lipids and lactate. Comparative analyses pointed to altered ratios of glucose/lactate and branched-chain amino acids (BCAAs)/alanine, which might be associated with the fingerprints of thrombosis. Although samples for metabolomic analysis were collected months after the acute episode, these results highlighted that, alterations can still remain and may contribute to a better understanding of the complications of the disease.
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Affiliation(s)
- Melissa Quintero Escobar
- Hematology and Hemotherapy Center, Hemocentro, University of Campinas (UNICAMP), Campinas 13083-878, SP, Brazil; (S.M.); (S.H.)
- Chemical Biology Laboratory, Department of Organic Chemistry, Institute of Chemistry, University of Campinas (UNICAMP), Campinas 13083-970, SP, Brazil; (T.B.B.C.d.C.); (D.S.)
| | - Ljubica Tasic
- Chemical Biology Laboratory, Department of Organic Chemistry, Institute of Chemistry, University of Campinas (UNICAMP), Campinas 13083-970, SP, Brazil; (T.B.B.C.d.C.); (D.S.)
| | - Tassia Brena Barroso Carneiro da Costa
- Chemical Biology Laboratory, Department of Organic Chemistry, Institute of Chemistry, University of Campinas (UNICAMP), Campinas 13083-970, SP, Brazil; (T.B.B.C.d.C.); (D.S.)
| | - Danijela Stanisic
- Chemical Biology Laboratory, Department of Organic Chemistry, Institute of Chemistry, University of Campinas (UNICAMP), Campinas 13083-970, SP, Brazil; (T.B.B.C.d.C.); (D.S.)
| | - Silmara Montalvão
- Hematology and Hemotherapy Center, Hemocentro, University of Campinas (UNICAMP), Campinas 13083-878, SP, Brazil; (S.M.); (S.H.)
| | - Stephany Huber
- Hematology and Hemotherapy Center, Hemocentro, University of Campinas (UNICAMP), Campinas 13083-878, SP, Brazil; (S.M.); (S.H.)
| | - Joyce Maria Annichino-Bizzacchi
- Hematology and Hemotherapy Center, Hemocentro, University of Campinas (UNICAMP), Campinas 13083-878, SP, Brazil; (S.M.); (S.H.)
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Loaeza-Reyes KJ, Zenteno E, Moreno-Rodríguez A, Torres-Rosas R, Argueta-Figueroa L, Salinas-Marín R, Castillo-Real LM, Pina-Canseco S, Cervera YP. An Overview of Glycosylation and its Impact on Cardiovascular Health and Disease. Front Mol Biosci 2021; 8:751637. [PMID: 34869586 PMCID: PMC8635159 DOI: 10.3389/fmolb.2021.751637] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Accepted: 10/25/2021] [Indexed: 12/25/2022] Open
Abstract
The cardiovascular system is a complex and well-organized system in which glycosylation plays a vital role. The heart and vascular wall cells are constituted by an array of specific receptors; most of them are N- glycosylated and mucin-type O-glycosylated. There are also intracellular signaling pathways regulated by different post-translational modifications, including O-GlcNAcylation, which promote adequate responses to extracellular stimuli and signaling transduction. Herein, we provide an overview of N-glycosylation and O-glycosylation, including O-GlcNAcylation, and their role at different levels such as reception of signal, signal transduction, and exogenous molecules or agonists, which stimulate the heart and vascular wall cells with effects in different conditions, like the physiological status, ischemia/reperfusion, exercise, or during low-grade inflammation in diabetes and aging. Furthermore, mutations of glycosyltransferases and receptors are associated with development of cardiovascular diseases. The knowledge on glycosylation and its effects could be considered biochemical markers and might be useful as a therapeutic tool to control cardiovascular diseases.
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Affiliation(s)
- Karen Julissa Loaeza-Reyes
- Centro de Estudios en Ciencias de la Salud y la Enfermedad, Facultad de Odontología, Universidad Autónoma Benito Juárez de Oaxaca, Oaxaca, Mexico.,Centro de Investigación Facultad de Medicina-UNAM-UABJO, Universidad Autónoma Benito Juárez de Oaxaca, Oaxaca, Mexico
| | - Edgar Zenteno
- Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | | | - Rafael Torres-Rosas
- Centro de Estudios en Ciencias de la Salud y la Enfermedad, Facultad de Odontología, Universidad Autónoma Benito Juárez de Oaxaca, Oaxaca, Mexico
| | - Liliana Argueta-Figueroa
- Centro de Estudios en Ciencias de la Salud y la Enfermedad, Facultad de Odontología, Universidad Autónoma Benito Juárez de Oaxaca, Oaxaca, Mexico.,Conacyt - Facultad de Odontología, Universidad Autónoma Benito Juárez de Oaxaca, Oaxaca, Mexico
| | - Roberta Salinas-Marín
- Laboratorio de Glicobiología Humana y Diagnóstico Molecular, Centro de Investigación en Dinámica Celular, Instituto de Investigación en Ciencias Básicas y Aplicadas, Universidad Autónoma del Estado de Morelos, Cuernavaca, Mexico
| | - Lizet Monserrat Castillo-Real
- Centro de Estudios en Ciencias de la Salud y la Enfermedad, Facultad de Odontología, Universidad Autónoma Benito Juárez de Oaxaca, Oaxaca, Mexico
| | - Socorro Pina-Canseco
- Centro de Investigación Facultad de Medicina-UNAM-UABJO, Universidad Autónoma Benito Juárez de Oaxaca, Oaxaca, Mexico
| | - Yobana Pérez Cervera
- Centro de Estudios en Ciencias de la Salud y la Enfermedad, Facultad de Odontología, Universidad Autónoma Benito Juárez de Oaxaca, Oaxaca, Mexico.,Centro de Investigación Facultad de Medicina-UNAM-UABJO, Universidad Autónoma Benito Juárez de Oaxaca, Oaxaca, Mexico
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Malo AI, Peraire J, Ruiz-Mateos E, Masip J, Amigó N, Alcamí J, Moreno S, Girona J, García-Pardo G, Reig R, Vidal F, Castro A, Masana L, Rull A. Evolution of Serum Acute-Phase Glycoproteins Assessed by 1H-NMR in HIV Elite Controllers. Front Immunol 2021; 12:730691. [PMID: 34650556 PMCID: PMC8505996 DOI: 10.3389/fimmu.2021.730691] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 08/26/2021] [Indexed: 12/14/2022] Open
Abstract
Elite controllers (ECs) are an exceptional group of people living with HIV (PLWH) who maintain undetectable viral loads (VLs) despite not being on antiretroviral therapy (ART). However, this phenotype is heterogeneous, with some of these subjects losing virological control over time. In this longitudinal retrospective study, serum acute-phase glycoprotein profile assessed by proton nuclear magnetic resonance (1H-NMR) was determined in 11 transient controllers (TCs) who spontaneously lost virological control and 11 persistent controllers (PCs) who persistently maintained virological control over time. Both PCs and TCs showed similar acute-phase glycoprotein profiles, even when TCs lost the virological control (GlycB, p = 0.824 and GlycA, p = 0.710), and the serum acute-phase glycoprotein signature in PCs did not differ from that in HIV-negative subjects (GlycB, p = 0.151 and GlycA, p = 0.243). Differences in serum glycoproteins A and B were significant only in ECs compared to HIV-typical progressors (TPs) with < 100 CD4+ T-cells (p < 0.001). 1H-NMR acute-phase glycoprotein profile does not distinguish TCs form PCs before the loss of viral control. ECs maintain a low-grade inflammatory state compared to TPs. PCs revealed a closer serum signature to HIV-negative subjects, reaffirming this phenotype as a closer model of functional control of HIV.
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Affiliation(s)
- Ana-Irene Malo
- Vascular Medicine and Metabolism Unit, Hospital Universitari Sant Joan, Reus, Spain
| | - Joaquim Peraire
- Hospital Universitari de Tarragona Joan XXIII, Tarragona, Spain.,Infection and Immunity Research Group (INIM), Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.,Universitat Rovira i Virgili, Tarragona, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Infecciosas, Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Ezequiel Ruiz-Mateos
- Unidad Clínica de Enfermedades Infecciosas, Microbiología y Medicina Preventiva, Instituto de Biomedicina de Sevilla-Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Sevilla, Spain
| | - Jenifer Masip
- Hospital Universitari de Tarragona Joan XXIII, Tarragona, Spain.,Infection and Immunity Research Group (INIM), Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.,Universitat Rovira i Virgili, Tarragona, Spain
| | - Núria Amigó
- Universitat Rovira i Virgili, Tarragona, Spain.,Biosfer Teslab, Reus, Spain.,Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - José Alcamí
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas, Instituto de Salud Carlos III (ISCIII), Madrid, Spain.,AIDS Immunopathogenesis Unit, Instituto de Salud Carlos III, Madrid, Spain.,HIV Unit, Hospital Clinic-Institut d'Investigacions Biomèdiques August Pi iSunyer (IDIBAPS), Barcelona, Spain
| | - Santiago Moreno
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas, Instituto de Salud Carlos III (ISCIII), Madrid, Spain.,Hospital Universitario Ramón y Cajal Universidad de Alcalá, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain
| | - Josefa Girona
- Universitat Rovira i Virgili, Tarragona, Spain.,Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.,Research Unit on Lipids and Atherosclerosis, Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Graciano García-Pardo
- Hospital Universitari de Tarragona Joan XXIII, Tarragona, Spain.,Infection and Immunity Research Group (INIM), Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.,Universitat Rovira i Virgili, Tarragona, Spain
| | - Rosaura Reig
- Hospital Universitari de Tarragona Joan XXIII, Tarragona, Spain
| | - Francesc Vidal
- Hospital Universitari de Tarragona Joan XXIII, Tarragona, Spain.,Infection and Immunity Research Group (INIM), Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.,Universitat Rovira i Virgili, Tarragona, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Infecciosas, Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Antoni Castro
- Vascular Medicine and Metabolism Unit, Hospital Universitari Sant Joan, Reus, Spain.,Universitat Rovira i Virgili, Tarragona, Spain.,Research Unit on Lipids and Atherosclerosis, Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Lluís Masana
- Vascular Medicine and Metabolism Unit, Hospital Universitari Sant Joan, Reus, Spain.,Universitat Rovira i Virgili, Tarragona, Spain.,Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.,Research Unit on Lipids and Atherosclerosis, Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Anna Rull
- Hospital Universitari de Tarragona Joan XXIII, Tarragona, Spain.,Infection and Immunity Research Group (INIM), Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.,Universitat Rovira i Virgili, Tarragona, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Infecciosas, Instituto de Salud Carlos III (ISCIII), Madrid, Spain
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46
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Zhou W, Teklu M, Bui V, Manyak GA, Kapoor P, Dey AK, Sorokin AV, Patel N, Teague HL, Playford MP, Erb-Alvarez J, Rodante JA, Keel A, Shanbhag SM, Hsu LY, Bluemke DA, Chen MY, Carlsson M, Mehta NN. The relationship between systemic inflammation and increased left ventricular mass is partly mediated by noncalcified coronary artery disease burden in psoriasis. Am J Prev Cardiol 2021; 7:100211. [PMID: 34611643 PMCID: PMC8387288 DOI: 10.1016/j.ajpc.2021.100211] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 05/24/2021] [Accepted: 05/26/2021] [Indexed: 12/12/2022] Open
Abstract
Objective Increased left ventricular (LV) mass is an important precursor to heart failure. Inflammation plays an important role in increasing LV mass. However, the contribution of subclinical coronary artery disease (CAD) to the inflammation-LV mass relationship is unknown. In subjects with psoriasis, a chronic inflammatory skin disease, we evaluated if systemic inflammation assessed by plasma glycoprotein A (GlycA) associated with LV mass measured on coronary CT angiography (CCTA). Additionally, we analyzed whether this relationship was mediated by early CAD assessed as noncalcified coronary burden (NCB). Methods We performed an observational longitudinal study of 213 subjects with psoriasis free of known cardiovascular disease, 189 of whom were followed over one year. All participants had GlycA measurements by nuclear magnetic resonance spectroscopy and LV mass and NCB quantified by CCTA. Results The cohort had a mean age of 50.3 (±12.9) years and 59% were male. There was moderate psoriasis severity and low cardiovascular risk. LV mass increased by GlycA tertiles [1st tertile:24.6 g/m2.7(3.8), 2nd tertile:25.5 g/m2.7(3.8), 3rd tertile:27.7 g/m2.7(5.5), p<0.001]. Both GlycA (β=0.24, p = 0.001) and NCB (β=0.50, p<0.001) associated with LV mass in models adjusted for age, sex, hypertension, hypertension therapy, lipid therapy, biologic therapy for psoriasis, waist:hip ratio, psoriasis disease duration and severity. In multivariable-adjusted mediation analyses, NCB accounted for 32% of the GlycA-LV mass relationship. Finally, over one year, change in NCB independently associated with change in LV mass (β=0.25, p = 0.002). Conclusions Both systemic inflammation and coronary artery NCB were associated with LV mass beyond cardiovascular risk factors in psoriasis. Furthermore, a substantial proportion of the inflammatory-LV mass relationship was mediated by NCB. These findings underscore the possible contribution of early coronary artery disease to the relationship between systemic inflammation and LV mass.
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Affiliation(s)
- Wunan Zhou
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Meron Teklu
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Vy Bui
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Grigory A Manyak
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Promita Kapoor
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Amit K Dey
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Alexander V Sorokin
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Nidhi Patel
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Heather L Teague
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Martin P Playford
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Julie Erb-Alvarez
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Justin A Rodante
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Andrew Keel
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Sujata M Shanbhag
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Li-Yueh Hsu
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, United States
| | - David A Bluemke
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
| | - Marcus Y Chen
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Marcus Carlsson
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Nehal N Mehta
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
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47
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Aguilar-Ramirez D, Alegre-Díaz J, Herrington WG, Staplin N, Ramirez-Reyes R, Gnatiuc L, Hill M, Romer F, Torres J, Trichia E, Wade R, Collins R, Emberson JR, Kuri-Morales P, Tapia-Conyer R. Association of Kidney Function With NMR-Quantified Lipids, Lipoproteins, and Metabolic Measures in Mexican Adults. J Clin Endocrinol Metab 2021; 106:2828-2839. [PMID: 34216216 PMCID: PMC8475241 DOI: 10.1210/clinem/dgab497] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Indexed: 11/19/2022]
Abstract
CONTEXT Chronic kidney disease (CKD) and diabetes are associated with dyslipidemia, metabolic abnormalities, and atherosclerotic risk. Nuclear magnetic resonance (NMR) spectroscopy provides much more detail on lipoproteins than traditional assays. METHODS In about 38 000 participants from the Mexico City Prospective Study, aged 35 to 84 years and not using lipid-lowering medication, NMR spectroscopy quantified plasma concentrations of lipoprotein particles, their lipidic compositions, and other metabolic measures. Linear regression related low estimated glomerular filtration rate (eGFR; <60 mL/min/1.73 m2) to each NMR measure after adjustment for confounders and for multiplicity. Analyses were done separately for those with and without diabetes. RESULTS Among the 38 081 participants (mean age 52 years, 64% women), low eGFR was present for 4.8% (306/6403) of those with diabetes and 1.2% (365/31 678) of those without diabetes. Among both those with and without diabetes, low eGFR was significantly associated with higher levels of 58 NMR measures, including apolipoprotein B (Apo-B), the particle numbers of most Apo-B containing lipoproteins, the cholesterol and triglycerides carried in these lipoproteins, several fatty acids, total cholines and phosphatidylcholine, citrate, glutamine, phenylalanine, β-OH-butyrate, and the inflammatory measure glycoprotein-A, and significantly lower levels of 13 NMR measures, including medium and small high-density lipoprotein particle measures, very low-density lipoprotein particle size, the ratio of saturated:total fatty acids, valine, tyrosine, and aceto-acetate. CONCLUSIONS In this Mexican population with high levels of adiposity and diabetes, low kidney function was associated with widespread alterations in lipidic and metabolic profiles, both in those with and without diabetes. These alterations may help explain the higher atherosclerotic risk experienced by people with CKD.
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Affiliation(s)
- Diego Aguilar-Ramirez
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Jesus Alegre-Díaz
- Faculty of Medicine, National Autonomous University of Mexico, Mexico City, Mexico
| | - William G Herrington
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Natalie Staplin
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Raúl Ramirez-Reyes
- Faculty of Medicine, National Autonomous University of Mexico, Mexico City, Mexico
| | - Louisa Gnatiuc
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Michael Hill
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Frederik Romer
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Jason Torres
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Eirini Trichia
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Rachel Wade
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Rory Collins
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Jonathan R Emberson
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Pablo Kuri-Morales
- Faculty of Medicine, National Autonomous University of Mexico, Mexico City, Mexico
| | - Roberto Tapia-Conyer
- Faculty of Medicine, National Autonomous University of Mexico, Mexico City, Mexico
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48
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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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49
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Sweeney T, Quispe R, Das T, Juraschek SP, Martin SS, Michos ED. The Use of Blood Biomarkers in Precision Medicine for the Primary Prevention of Atherosclerotic Cardiovascular Disease: a Review. EXPERT REVIEW OF PRECISION MEDICINE AND DRUG DEVELOPMENT 2021; 6:247-258. [PMID: 34423130 DOI: 10.1080/23808993.2021.1930531] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Introduction A biomarker is a substance, structure, or process that indicates the presence of a disease, infection, or environmental exposure. Clinically useful biomarkers are measurable, improve diagnostic or prognostic performance, and ultimately aid clinicians in determining the initiation, duration, or magnitude of therapy. Areas Covered The purpose of this review is to explore the roles of various blood biomarkers of atherosclerotic cardiovascular disease (ASCVD) and how their use may improve the precision with which clinicians can identify, treat, and ultimately prevent ASCVD. Our review will include lipid biomarkers, markers of cardiac injury and wall stress, markers of inflammation, and a few others. Expert Opinion Several biomarkers have recently been highlighted as "risk-enhancing factors" in the 2019 American College of Cardiology/American Heart Association Guideline for the Primary Prevention of ASCVD, which can help guide shared decision-making. These included elevated low-density lipoprotein cholesterol, triglycerides, lipoprotein(a), apolipoprotein B, or high-sensitivity C-reactive protein. However, some other biomarkers mentioned in this review are not commonly used despite showing initial promise as prognostic of ASCVD risk, as it is not clear how treatment decisions should be changed after their measurement among asymptomatic individuals. Future studies should focus on whether biomarker-directed management strategies can improve clinical outcomes.
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Affiliation(s)
- Ty Sweeney
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Renato Quispe
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Thomas Das
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Stephen P Juraschek
- Department of Medicine, Beth Israel Deaconess Medical Center/Harvard Medical School, Boston, MA
| | - Seth S Martin
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Erin D Michos
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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50
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Wang QY, You LH, Xiang LL, Zhu YT, Zeng Y. Current progress in metabolomics of gestational diabetes mellitus. World J Diabetes 2021; 12:1164-1186. [PMID: 34512885 PMCID: PMC8394228 DOI: 10.4239/wjd.v12.i8.1164] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 05/20/2021] [Accepted: 07/07/2021] [Indexed: 02/06/2023] Open
Abstract
Gestational diabetes mellitus (GDM) is one of the most common metabolic disorders of pregnancy and can cause short- and long-term adverse effects in both pregnant women and their offspring. However, the etiology and pathogenesis of GDM are still unclear. As a metabolic disease, GDM is well suited to metabolomics study, which can monitor the changes in small molecular metabolites induced by maternal stimuli or perturbations in real time. The application of metabolomics in GDM can be used to discover diagnostic biomarkers, evaluate the prognosis of the disease, guide the application of diet or drugs, evaluate the curative effect, and explore the mechanism. This review provides comprehensive documentation of metabolomics research methods and techniques as well as the current progress in GDM research. We anticipate that the review will contribute to identifying gaps in the current knowledge or metabolomics technology, provide evidence-based information, and inform future research directions in GDM.
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Affiliation(s)
- Qian-Yi Wang
- School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing 21000, Jiangsu Province, China
| | - Liang-Hui You
- Nanjing Maternity and Child Health Care Institute, Women’s Hospital of Nanjing Medical University (Nanjing Maternity and Child Health Care Hospital), Nanjing 21000, Jiangsu Province, China
| | - Lan-Lan Xiang
- Department of Clinical Laboratory, Women’s Hospital of Nanjing Medical University (Nanjing Maternity and Child Health Care Hospital), Nanjing 21000, Jiangsu Province, China
| | - Yi-Tian Zhu
- Department of Clinical Laboratory, Women’s Hospital of Nanjing Medical University (Nanjing Maternity and Child Health Care Hospital), Nanjing 21000, Jiangsu Province, China
| | - Yu Zeng
- Department of Clinical Laboratory, Women’s Hospital of Nanjing Medical University (Nanjing Maternity and Child Health Care Hospital), Nanjing 21000, Jiangsu Province, China
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