1
|
Jury EC, Peng J, Van Vijfeijken A, Martin Gutierrez L, Woodridge L, Wincup C, Pineda-Torra I, Ciurtin C, Robinson GA. Systemic lupus erythematosus patients have unique changes in serum metabolic profiles across age associated with cardiometabolic risk. Rheumatology (Oxford) 2024; 63:2741-2753. [PMID: 38048621 PMCID: PMC11443078 DOI: 10.1093/rheumatology/kead646] [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: 08/18/2023] [Revised: 11/02/2023] [Accepted: 11/05/2023] [Indexed: 12/06/2023] Open
Abstract
OBJECTIVES Cardiovascular disease through accelerated atherosclerosis is a leading cause of mortality for patients with systemic lupus erythematosus (SLE), likely due to increased chronic inflammation and cardiometabolic defects over age. We investigated age-associated changes in metabolomic profiles of SLE patients and healthy controls (HCs). METHODS Serum NMR metabolomic profiles from female SLE patients (n = 164, age = 14-76) and HCs (n = 123, age = 13-72) were assessed across age by linear regression and by age group between patients/HCs (Group 1, age ≤ 25, n = 62/46; Group 2, age = 26-49, n = 50/46; Group 3, age ≥ 50, n = 52/31) using multiple t tests. The impact of inflammation, disease activity and treatments were assessed, and UK Biobank disease-wide association analysis of metabolites was performed. RESULTS Age-specific metabolomic profiles were identified in SLE patients vs HCs, including reduced amino acids (Group 1), increased very-low-density lipoproteins (Group 2), and increased low-density lipoproteins (Group 3). Twenty-five metabolites were significantly altered in all SLE age groups, dominated by decreased atheroprotective high-density lipoprotein (HDL) subsets, HDL-bound apolipoprotein (Apo)A1 and increased glycoprotein acetyls (GlycA). Furthermore, ApoA1 and GlycA were differentially associated with disease activity and serological measures, as well as atherosclerosis incidence and myocardial infarction mortality risk through disease-wide association. Separately, glycolysis pathway metabolites (acetone/citrate/creatinine/glycerol/lactate/pyruvate) uniquely increased with age in SLE, significantly influenced by prednisolone (increased pyruvate/lactate) and hydroxychloroquine (decreased citrate/creatinine) treatment and associated with type 1 and type 2 diabetes by disease-wide association. CONCLUSIONS Increasing HDL (ApoA1) levels through therapeutic/nutritional intervention, whilst maintaining low disease activity, in SLE patients from a young age could improve cardiometabolic disease outcomes. Biomarkers from the glycolytic pathway could indicate adverse metabolic effects of current therapies.
Collapse
Affiliation(s)
- Elizabeth C Jury
- Centre for Rheumatology Research, Division of Medicine, University College London, London, UK
| | - Junjie Peng
- Centre for Adolescent Rheumatology Versus Arthritis, Division of Medicine, University College London, London, UK
| | | | - Lucia Martin Gutierrez
- Centre for Rheumatology Research, Division of Medicine, University College London, London, UK
- Centre for Adolescent Rheumatology Versus Arthritis, Division of Medicine, University College London, London, UK
| | - Laurel Woodridge
- Centre for Experimental & Translational Medicine, Division of Medicine, University College London, London, UK
- Institute of Structural and Molecular Biology, Division of Biosciences, University College London, London, UK
| | - Chris Wincup
- Centre for Rheumatology Research, Division of Medicine, University College London, London, UK
| | - Ines Pineda-Torra
- Centre for Experimental & Translational Medicine, Division of Medicine, University College London, London, UK
| | - Coziana Ciurtin
- Centre for Rheumatology Research, Division of Medicine, University College London, London, UK
- Centre for Adolescent Rheumatology Versus Arthritis, Division of Medicine, University College London, London, UK
| | - George A Robinson
- Centre for Rheumatology Research, Division of Medicine, University College London, London, UK
- Centre for Adolescent Rheumatology Versus Arthritis, Division of Medicine, University College London, London, UK
| |
Collapse
|
2
|
Dhar P, Sominsky L, O'Hely M, Dawson S, Collier F, Tang MLK, Mansell T, Burgner D, Smith C, Hyde N, Downing K, Hesketh KD, Ponsonby AL, Vuillermin P. Physical activity and circulating inflammatory markers and cytokines during pregnancy: A population-based cohort study. Acta Obstet Gynecol Scand 2024; 103:1808-1819. [PMID: 38924074 PMCID: PMC11324931 DOI: 10.1111/aogs.14870] [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: 10/19/2023] [Revised: 04/03/2024] [Accepted: 04/11/2024] [Indexed: 06/28/2024]
Abstract
INTRODUCTION Physical activity (PA) during pregnancy has numerous benefits, which may be mediated via effects on the immune system. However, supportive evidence is inconsistent and is mainly from studies in high-risk groups. We estimated the effect of PA during pregnancy on systemic inflammatory markers and cytokines in mothers recruited in the Barwon infant study. MATERIAL AND METHODS The Barwon infant study is a prebirth cohort of 1064 mothers recruited in the Barwon Region of Victoria, Australia. Participants reported their previous week's PA at their 28-week antenatal appointment using the International PA Questionnaire. Women were grouped into low, moderate, and high PA categories based on daily duration and weekly frequency of walking, moderate- or vigorous-intensity PA. Women reporting moderate levels of PA, consistent with current recommendations, served as the comparison group. Markers of systemic inflammation, high-sensitivity C-reactive protein (hsCRP), glycoprotein acetyls (GlycA), and 17 cytokines were measured at 28 weeks gestation and log transformed as appropriate. Regression analyses adjusted for maternal smoking, gestational diabetes mellitus, prepregnancy BMI, and household size were performed. RESULTS Compared to women in the moderate group (n = 371, 42%), women reporting low PA (n = 436, 50%) had 10.1% higher hsCRP (95% CI (3.7% to 16.6%), p < 0.01) while women in high PA (n = 76, 9%) had a 14% higher hsCRP (95% CI (3.1% to 24.8%), p = 0.01). Women in the high PA category had higher interleukin (IL)-4 (q = 0.03) and IL-9 (q = 0.03) levels compared to those in moderate category. Each vigorous MET minute/week was associated with lower GlycA (β = -0.004, 95% CI (-0.044 to 0.035); p = 0.03). CONCLUSIONS Low and high PA are each associated with higher hsCRP than moderate PA, suggesting that undertaking the recommended moderate PA during pregnancy decreases systemic inflammation. High PA affects T cell-associated cytokines during pregnancy. Evidence from our study suggests that PA can modulate the immune responses during pregnancy. Studies are now required to assess whether PA during pregnancy impacts maternal and infant clinical outcomes by modifying inflammatory responses.
Collapse
Affiliation(s)
- Poshmaal Dhar
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, Victoria, Australia
| | - Luba Sominsky
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, Victoria, Australia
- Barwon Health, Geelong, Victoria, Australia
| | - Martin O'Hely
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, Victoria, Australia
| | - Samantha Dawson
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, Victoria, Australia
| | - Fiona Collier
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, Victoria, Australia
| | - Mimi L K Tang
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia
| | - Toby Mansell
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia
| | - David Burgner
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia
| | - Craig Smith
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, Victoria, Australia
| | - Natalie Hyde
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, Victoria, Australia
| | - Katherine Downing
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
| | - Kylie D Hesketh
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
| | - Anne-Louise Ponsonby
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia
- The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Victoria, Australia
| | - Peter Vuillermin
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, Victoria, Australia
- Barwon Health, Geelong, Victoria, Australia
| |
Collapse
|
3
|
Wicks TR, Shalaurova I, Browne RW, Wolska A, Weinstock-Guttman B, Zivadinov R, Remaley AT, Otvos JD, Ramanathan M. Nuclear-Magnetic-Resonance-Spectroscopy-Derived Serum Biomarkers of Metabolic Vulnerability Are Associated with Disability and Neurodegeneration in Multiple Sclerosis. Nutrients 2024; 16:2866. [PMID: 39275183 PMCID: PMC11396879 DOI: 10.3390/nu16172866] [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: 07/18/2024] [Revised: 08/09/2024] [Accepted: 08/17/2024] [Indexed: 09/16/2024] Open
Abstract
PURPOSE Metabolic vulnerabilities can exacerbate inflammatory injury and inhibit repair in multiple sclerosis (MS). The purpose was to evaluate whether blood biomarkers of inflammatory and metabolic vulnerability are associated with MS disability and neurodegeneration. METHODS Proton nuclear magnetic resonance spectra were obtained from serum samples from 153 healthy controls, 187 relapsing-remitting, and 91 progressive MS patients. The spectra were analyzed to obtain concentrations of lipoprotein sub-classes, glycated acute-phase proteins, and small-molecule metabolites, including leucine, valine, isoleucine, alanine, and citrate. Composite indices for inflammatory vulnerability, metabolic malnutrition, and metabolic vulnerability were computed. MS disability was measured on the Expanded Disability Status Scale. MRI measures of lesions and whole-brain and tissue-specific volumes were acquired. RESULTS Valine, leucine, isoleucine, alanine, the Inflammatory Vulnerability Index, the Metabolic Malnutrition Index, and the Metabolic Vulnerability Index differed between healthy control and MS groups in regression analyses adjusted for age, sex, and body mass index. The Expanded Disability Status Scale was associated with small HDL particle levels, inflammatory vulnerability, and metabolic vulnerability. Timed ambulation was associated with inflammatory vulnerability and metabolic vulnerability. Greater metabolic vulnerability and inflammatory vulnerability were associated with lower gray matter, deep gray matter volumes, and greater lateral ventricle volume. CONCLUSIONS Serum-biomarker-derived indices of inflammatory and metabolic vulnerability are associated with disability and neurodegeneration in MS.
Collapse
Affiliation(s)
- Taylor R Wicks
- Department of Pharmaceutical Sciences, State University of New York, Buffalo, NY 14214, USA
| | | | - Richard W Browne
- Biotechnical and Clinical Laboratory Sciences, State University of New York, Buffalo, NY 14214, USA
| | - Anna Wolska
- Lipoprotein Metabolism Laboratory, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | | | - Robert Zivadinov
- Department of Neurology, State University of New York, Buffalo, NY 14203, USA
| | - Alan T Remaley
- Lipoprotein Metabolism Laboratory, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - James D Otvos
- LabCorp Diagnostics, Morrisville, NC 27560, USA
- Lipoprotein Metabolism Laboratory, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Murali Ramanathan
- Department of Pharmaceutical Sciences, State University of New York, Buffalo, NY 14214, USA
- Department of Neurology, State University of New York, Buffalo, NY 14203, USA
| |
Collapse
|
4
|
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.
Collapse
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.
| |
Collapse
|
5
|
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.
Collapse
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
| |
Collapse
|
6
|
Healy DR, Zarei I, Mikkonen S, Soininen S, Viitasalo A, Haapala EA, Auriola S, Hanhineva K, Kolehmainen M, Lakka TA. Longitudinal associations of an exposome score with serum metabolites from childhood to adolescence. Commun Biol 2024; 7:890. [PMID: 39039257 PMCID: PMC11263428 DOI: 10.1038/s42003-024-06146-0] [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: 05/24/2023] [Accepted: 04/05/2024] [Indexed: 07/24/2024] Open
Abstract
Environmental and lifestyle factors, including air pollution, impaired diet, and low physical activity, have been associated with cardiometabolic risk factors in childhood and adolescence. However, environmental and lifestyle exposures do not exert their physiological effects in isolation. This study investigated associations between an exposome score to measure the impact of multiple exposures, including diet, physical activity, sleep duration, air pollution, and socioeconomic status, and serum metabolites measured using LC-MS and NMR, compared to the individual components of the score. A general population of 504 children aged 6-9 years at baseline was followed up for eight years. Data were analysed with linear mixed-effects models using the R software. The exposome score was associated with 31 metabolites, of which 12 metabolites were not associated with any individual exposure category. These findings highlight the value of a composite score to predict metabolic changes associated with multiple environmental and lifestyle exposures since childhood.
Collapse
Affiliation(s)
- Darren R Healy
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio Campus, Finland.
| | - Iman Zarei
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio Campus, Finland
| | - Santtu Mikkonen
- Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio Campus, Finland
- Department of Technical Physics, University of Eastern Finland, Kuopio Campus, Finland
| | - Sonja Soininen
- Institute of Biomedicine, University of Eastern Finland, Kuopio Campus, Finland
- Physician and Nursing Services, Health and Social Services Centre, Wellbeing Services County of North Savo, Varkaus, Finland
| | - Anna Viitasalo
- Institute of Biomedicine, University of Eastern Finland, Kuopio Campus, Finland
| | - Eero A Haapala
- Institute of Biomedicine, University of Eastern Finland, Kuopio Campus, Finland
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Seppo Auriola
- School of Pharmacy, Faculty of Health Sciences, University of Eastern Finland, Kuopio Campus, Finland
- LC-MS Metabolomics Center, Biocenter Kuopio, Kuopio, Finland
| | - Kati Hanhineva
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio Campus, Finland
- Food Sciences Unit, Department of Life Technologies, University of Turku, Turku, Finland
| | - Marjukka Kolehmainen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio Campus, Finland
| | - Timo A Lakka
- Institute of Biomedicine, University of Eastern Finland, Kuopio Campus, Finland
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| |
Collapse
|
7
|
Schweickart A, Batra R, Neth BJ, Martino C, Shenhav L, Zhang AR, Shi P, Karu N, Huynh K, Meikle PJ, Schimmel L, Dilmore AH, Blennow K, Zetterberg H, Blach C, Dorrestein PC, Knight R, Craft S, Kaddurah-Daouk R, Krumsiek J. Serum and CSF metabolomics analysis shows Mediterranean Ketogenic Diet mitigates risk factors of Alzheimer's disease. NPJ METABOLIC HEALTH AND DISEASE 2024; 2:15. [PMID: 38962750 PMCID: PMC11216994 DOI: 10.1038/s44324-024-00016-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Accepted: 05/16/2024] [Indexed: 07/05/2024]
Abstract
Alzheimer's disease (AD) is influenced by a variety of modifiable risk factors, including a person's dietary habits. While the ketogenic diet (KD) holds promise in reducing metabolic risks and potentially affecting AD progression, only a few studies have explored KD's metabolic impact, especially on blood and cerebrospinal fluid (CSF). Our study involved participants at risk for AD, either cognitively normal or with mild cognitive impairment. The participants consumed both a modified Mediterranean Ketogenic Diet (MMKD) and the American Heart Association diet (AHAD) for 6 weeks each, separated by a 6-week washout period. We employed nuclear magnetic resonance (NMR)-based metabolomics to profile serum and CSF and metagenomics profiling on fecal samples. While the AHAD induced no notable metabolic changes, MMKD led to significant alterations in both serum and CSF. These changes included improved modifiable risk factors, like increased HDL-C and reduced BMI, reversed serum metabolic disturbances linked to AD such as a microbiome-mediated increase in valine levels, and a reduction in systemic inflammation. Additionally, the MMKD was linked to increased amino acid levels in the CSF, a breakdown of branched-chain amino acids (BCAAs), and decreased valine levels. Importantly, we observed a strong correlation between metabolic changes in the CSF and serum, suggesting a systemic regulation of metabolism. Our findings highlight that MMKD can improve AD-related risk factors, reverse some metabolic disturbances associated with AD, and align metabolic changes across the blood-CSF barrier.
Collapse
Affiliation(s)
- Annalise Schweickart
- Tri-Institutional Program in Computational Biology & Medicine, Weill Cornell Medicine, New York, NY USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, Institute for Computational Biomedicine, Englander Institute for Precision Medicine, New York, NY USA
| | - Richa Batra
- Department of Physiology and Biophysics, Weill Cornell Medicine, Institute for Computational Biomedicine, Englander Institute for Precision Medicine, New York, NY USA
| | - Bryan J. Neth
- Department of Neurology, Mayo Clinic, Rochester, MN USA
| | - Cameron Martino
- Department of Pediatrics, University of California San Diego, La Jolla, CA USA
| | - Liat Shenhav
- Department of Microbiology, New York University Grossman School of Medicine, New York, NY USA
| | - Anru R. Zhang
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC USA
| | - Pixu Shi
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC USA
| | - Naama Karu
- Tasmanian Independent Metabolomics and Analytical Chemistry Solutions (TIMACS), Hobart, TAS Australia
| | - Kevin Huynh
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC Australia
- Baker Department of Cardiovascular Research Translation and Implementation, La Trobe University, Bundoora, VIC Australia
| | - Peter J. Meikle
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC Australia
- Baker Department of Cardiovascular Research Translation and Implementation, La Trobe University, Bundoora, VIC Australia
| | - Leyla Schimmel
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC USA
| | | | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, University of Gothenburg, Gothenburg, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, University of Gothenburg, Gothenburg, Sweden
| | - Colette Blach
- Duke Molecular Physiology Institute, Duke University, Durham, NC USA
| | - Pieter C. Dorrestein
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA USA
| | - Rob Knight
- Departments of Pediatrics, Computer Science and Engineering, Bioengineering, University of California San Diego, La Jolla, CA USA
| | - Alzheimer’s Gut Microbiome Project Consortium
- Tri-Institutional Program in Computational Biology & Medicine, Weill Cornell Medicine, New York, NY USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, Institute for Computational Biomedicine, Englander Institute for Precision Medicine, New York, NY USA
- Department of Neurology, Mayo Clinic, Rochester, MN USA
- Department of Pediatrics, University of California San Diego, La Jolla, CA USA
- Department of Microbiology, New York University Grossman School of Medicine, New York, NY USA
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC USA
- Tasmanian Independent Metabolomics and Analytical Chemistry Solutions (TIMACS), Hobart, TAS Australia
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC Australia
- Baker Department of Cardiovascular Research Translation and Implementation, La Trobe University, Bundoora, VIC Australia
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC USA
- Department of Psychiatry and Neurochemistry, University of Gothenburg, Gothenburg, Sweden
- Duke Molecular Physiology Institute, Duke University, Durham, NC USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA USA
- Departments of Pediatrics, Computer Science and Engineering, Bioengineering, University of California San Diego, La Jolla, CA USA
- Department of Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston Salem, NC USA
- Duke Institute of Brain Sciences, Duke University, Durham, NC USA
- Department of Medicine, Duke University, Durham, NC USA
| | - Suzanne Craft
- Department of Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston Salem, NC USA
| | - Rima Kaddurah-Daouk
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC USA
- Duke Institute of Brain Sciences, Duke University, Durham, NC USA
- Department of Medicine, Duke University, Durham, NC USA
| | - Jan Krumsiek
- Department of Physiology and Biophysics, Weill Cornell Medicine, Institute for Computational Biomedicine, Englander Institute for Precision Medicine, New York, NY USA
| |
Collapse
|
8
|
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.
Collapse
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.
| |
Collapse
|
9
|
McGee AC, Reinicke T, Carrasco D, Goodrich J, Pavkov ME, van Raalte DH, Birznieks C, Nelson RG, Nadeau KJ, Choi YJ, Vigers T, Pyle L, de Boer I, Bjornstad P, Tommerdahl KL. Glycoprotein Acetyls Associate With Intraglomerular Hemodynamic Dysfunction, Albuminuria, Central Adiposity, and Insulin Resistance in Youth With Type 1 Diabetes. Can J Diabetes 2024; 48:244-249.e1. [PMID: 38341135 DOI: 10.1016/j.jcjd.2024.01.010] [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: 07/06/2023] [Revised: 01/18/2024] [Accepted: 01/30/2024] [Indexed: 02/12/2024]
Abstract
OBJECTIVES Glycoprotein acetyls (GlycA's) are biomarkers of systemic inflammation and cardiovascular disease, yet little is known about their role in type 1 diabetes (T1D). In this study we examined the associations among GlycA's, central adiposity, insulin resistance, and early kidney injury in youth with T1D. METHODS Glomerular filtration rate and renal plasma flow by iohexol and p-aminohippurate clearance, urine albumin-to-creatinine ratio (UACR), central adiposity by dual-energy x-ray absorptiometry, and estimated insulin sensitivity were assessed in 50 youth with T1D (16±3.0 years of age, 50% female, glycated hemoglobin 8.7%±1.3%, T1D duration 5.7±2.6 years). Concentrations of GlycA were quantified by targeted nuclear magnetic resonance spectroscopy. Correlation and multivariable linear regression analyses were performed. RESULTS GlycA's were higher in girls vs boys (1.05±0.26 vs 0.84±0.15 mmol/L, p=0.001) and in participants living with overweight/obesity vs normal weight (1.12±0.23 vs 0.87±0.20 mmol/L, p=0.0004). GlycA's correlated positively with estimated intraglomerular pressure (r=0.52, p=0.001), UACR (r=0.53, p<0.0001), and trunk mass (r=0.45, p=0.001), and inversely with estimated insulin sensitivity (r=-0.36, p=0.01). All relationships remained significant after adjustment for age, sex, and glycated hemoglobin. CONCLUSIONS As biomarkers of inflammation, GlycA's were higher in girls and those with overweight or obese body habitus in T1D. GlycA's associated with parameters of early kidney dysfunction, central adiposity, and insulin resistance.
Collapse
Affiliation(s)
- Alyssa Caldwell McGee
- Section of Endocrinology, Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, United States
| | - Trenton Reinicke
- Section of Endocrinology, Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, United States
| | - Diego Carrasco
- Section of Endocrinology, Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, United States
| | - Jesse Goodrich
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, United States
| | - Meda E Pavkov
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia, United States
| | - Daniel H van Raalte
- Diabetes Center, Department of Internal Medicine, Amsterdam University Medical Centers, VUMC, Amsterdam, The Netherlands
| | - Carissa Birznieks
- Section of Endocrinology, Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, United States
| | - Robert G Nelson
- Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, Arizona, United States
| | - Kristen J Nadeau
- Section of Endocrinology, Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, United States
| | - Ye Ji Choi
- Section of Endocrinology, Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, United States; Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, Colorado, United States
| | - Tim Vigers
- Section of Endocrinology, Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, United States; Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, Colorado, United States
| | - Laura Pyle
- Section of Endocrinology, Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, United States; Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, Colorado, United States
| | - Ian de Boer
- Division of Nephrology and Kidney Research Institute, University of Washington, Seattle, Washington, United States
| | - Petter Bjornstad
- Section of Endocrinology, Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, United States; Ludeman Family Center for Women's Health Research, University of Colorado School of Medicine, Aurora, Colorado, United States; Division of Renal Diseases and Hypertension, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
| | - Kalie L Tommerdahl
- Section of Endocrinology, Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, United States; Ludeman Family Center for Women's Health Research, University of Colorado School of Medicine, Aurora, Colorado, United States; Barbara Davis Center for Diabetes, Section of Endocrinology, Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, United States.
| |
Collapse
|
10
|
Kasher M, Freidin MB, Williams FMK, Livshits G. GlycA and CRP Are Genetically Correlated: Insight into the Genetic Architecture of Inflammageing. Biomolecules 2024; 14:563. [PMID: 38785970 PMCID: PMC11117775 DOI: 10.3390/biom14050563] [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: 04/07/2024] [Revised: 04/29/2024] [Accepted: 05/01/2024] [Indexed: 05/25/2024] Open
Abstract
Inflammageing is a condition of perpetual low-grade inflammation induced by ageing. Inflammageing may be predicted by the C-reactive protein (CRP) or by a recently described biomarker which measures N-glycosylated side chains of the carbohydrate component of several acute-phase proteins known as GlycA. The objective of this study was to examine in depth the genetic relationships between CRP and GlycA as well as between each of them and other selected cytokines, which may shed light on the mechanisms of inflammageing. Using the Olink 96 Inflammation panel, data on inflammatory mediators for 1518 twins from the TwinsUK dataset were acquired. Summary statistics for genome-wide association studies for several cytokines as well as CRP and GlycA were collected from public sources. Extensive genetic correlation analyses, colocalization and genetic enrichment analyses were carried out to detect the shared genetic architecture between GlycA and CRP. Mendelian randomization was carried out to assess potential causal relationships. GlycA predicted examined cytokines with a magnitude twice as great as that of CRP. GlycA and CRP were significantly genetically correlated (Rg = 0.4397 ± 0.0854, p-value = 2.60 × 10-7). No evidence of a causal relationship between GlycA and CRP, or between these two biomarkers and the cytokines assessed was obtained. However, the aforementioned relationships were explained well by horizontal pleiotropy. Five exonic genetic variants annotated to five genes explain the shared genetic architecture observed between GlycA and CRP: IL6R, GCKR, MLXIPL, SERPINA1, and MAP1A. GlycA and CRP possess a shared genetic architecture, but the relationship between them appears to be modest, which may imply the promotion of differing inflammatory pathways. GlycA appears to be a more robust predictor of cytokines compared to CRP.
Collapse
Affiliation(s)
- Melody Kasher
- Department of Morphological Sciences, Adelson Medical School, Ariel University, Ariel 40700, Israel;
| | - 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 SE1 7EH, UK;
| | - Gregory Livshits
- Department of Morphological Sciences, Adelson Medical School, Ariel University, Ariel 40700, Israel;
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King’s College London, London SE1 7EH, UK;
- Human Population Biology Research Unit, Department of Anatomy and Anthropology, Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv 69978, Israel
| | | |
Collapse
|
11
|
Raab H, Hauser ER, Kwee LC, Shah SH, Kraus WE, Ward-Caviness CK. Associations among NMR-measured inflammatory and metabolic biomarkers and accelerated aging in cardiac catheterization patients. Aging (Albany NY) 2024; 16:6652-6672. [PMID: 38656877 PMCID: PMC11087135 DOI: 10.18632/aging.205758] [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: 07/14/2023] [Accepted: 03/13/2024] [Indexed: 04/26/2024]
Abstract
Research into aging has grown substantially with the creation of molecular biomarkers of biological age that can be used to determine age acceleration. Concurrently, nuclear magnetic resonance (NMR) assessment of biomarkers of inflammation and metabolism provides researchers with new ways to examine intermediate risk factors for chronic disease. We used data from a cardiac catheterization cohort to examine associations between biomarkers of cardiometabolic health and accelerated aging assessed using both gene expression (Transcriptomic Age) and DNA methylation (Hannum Age, GrimAge, Horvath Age, and Phenotypic Age). Linear regression models were used to associate accelerated aging with each outcome (cardiometabolic health biomarkers) while adjusting for chronological age, sex, race, and neighborhood socioeconomic status. Our study shows a robust association between GlycA and GrimAge (5.71, 95% CI = 4.36, 7.05, P = 7.94 × 10-16), Hannum Age (1.81, 95% CI = 0.65, 2.98, P = 2.30 × 10-3), and Phenotypic Age (2.88, 95% CI = 1.91, 3.87, P = 1.21 × 10-8). We also saw inverse associations between apolipoprotein A-1 and aging biomarkers. These associations provide insight into the relationship between aging and cardiometabolic health that may be informative for vulnerable populations.
Collapse
Affiliation(s)
- Henry Raab
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Chapel Hill, NC 27514, USA
| | - Elizabeth R. Hauser
- Duke University Molecular Physiology Institute, Duke University, Durham, NC 27701, USA
| | - Lydia Coulter Kwee
- Duke University Molecular Physiology Institute, Duke University, Durham, NC 27701, USA
| | - Svati H. Shah
- Duke University Molecular Physiology Institute, Duke University, Durham, NC 27701, USA
| | - William E. Kraus
- Duke University Molecular Physiology Institute, Duke University, Durham, NC 27701, USA
| | - Cavin K. Ward-Caviness
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Chapel Hill, NC 27514, USA
| |
Collapse
|
12
|
Schweickart A, Batra R, Neth BJ, Martino C, Shenhav L, Zhang AR, Shi P, Karu N, Huynh K, Meikle PJ, Schimmel L, Dilmore AH, Blennow K, Zetterberg H, Blach C, Dorrestein PC, Knight R, Craft S, Kaddurah-Daouk R, Krumsiek J. A Modified Mediterranean Ketogenic Diet mitigates modifiable risk factors of Alzheimer's Disease: a serum and CSF-based metabolic analysis. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.11.27.23298990. [PMID: 38076824 PMCID: PMC10705656 DOI: 10.1101/2023.11.27.23298990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Alzheimer's disease (AD) is influenced by a variety of modifiable risk factors, including a person's dietary habits. While the ketogenic diet (KD) holds promise in reducing metabolic risks and potentially affecting AD progression, only a few studies have explored KD's metabolic impact, especially on blood and cerebrospinal fluid (CSF). Our study involved participants at risk for AD, either cognitively normal or with mild cognitive impairment. The participants consumed both a modified Mediterranean-ketogenic diet (MMKD) and the American Heart Association diet (AHAD) for 6 weeks each, separated by a 6-week washout period. We employed nuclear magnetic resonance (NMR)-based metabolomics to profile serum and CSF and metagenomics profiling on fecal samples. While the AHAD induced no notable metabolic changes, MMKD led to significant alterations in both serum and CSF. These changes included improved modifiable risk factors, like increased HDL-C and reduced BMI, reversed serum metabolic disturbances linked to AD such as a microbiome-mediated increase in valine levels, and a reduction in systemic inflammation. Additionally, the MMKD was linked to increased amino acid levels in the CSF, a breakdown of branched-chain amino acids (BCAAs), and decreased valine levels. Importantly, we observed a strong correlation between metabolic changes in the CSF and serum, suggesting a systemic regulation of metabolism. Our findings highlight that MMKD can improve AD-related risk factors, reverse some metabolic disturbances associated with AD, and align metabolic changes across the blood-CSF barrier.
Collapse
Affiliation(s)
- Annalise Schweickart
- Tri-Institutional Program in Computational Biology & Medicine, Weill Cornell Medicine, New York, NY, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, Institute for Computational Biomedicine, Englander Institute for Precision Medicine, New York, NY 10021, USA
| | - Richa Batra
- Department of Physiology and Biophysics, Weill Cornell Medicine, Institute for Computational Biomedicine, Englander Institute for Precision Medicine, New York, NY 10021, USA
| | | | - Cameron Martino
- Department of Pediatrics, University of California San Diego, La Jolla, CA
| | - Liat Shenhav
- Department of Microbiology, New York University Grossman School of Medicine, New York, NY, USA
| | - Anru R. Zhang
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
| | - Pixu Shi
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
| | - Naama Karu
- Tasmanian Independent Metabolomics and Analytical Chemistry Solutions (TIMACS), Hobart, 7008 Tasmania, Australia
| | - Kevin Huynh
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC, Australia
- Baker Department of Cardiovascular Research Translation and Implementation, La Trobe University, Bundoora, VIC, Australia
| | - Peter J. Meikle
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC, Australia
- Baker Department of Cardiovascular Research Translation and Implementation, La Trobe University, Bundoora, VIC, Australia
| | - Leyla Schimmel
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
| | | | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, University of Gothenburg, Gothenburg, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, University of Gothenburg, Gothenburg, Sweden
| | - Colette Blach
- Duke Molecular Physiology Institute, Duke University, Durham, NC, USA
| | - Pieter C Dorrestein
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA
| | - Rob Knight
- Departments of Pediatrics, Computer Science and Engineering, Bioengineering, University of California San Diego, La Jolla, CA
| | | | - Suzanne Craft
- Department of Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston Salem, NC, USA
| | - Rima Kaddurah-Daouk
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
- Duke Institute of Brain Sciences, Duke University, Durham, NC, USA
- Department of Medicine, Duke University, Durham, NC, USA
| | - Jan Krumsiek
- Department of Physiology and Biophysics, Weill Cornell Medicine, Institute for Computational Biomedicine, Englander Institute for Precision Medicine, New York, NY 10021, USA
| |
Collapse
|
13
|
Shah I, Yakah W, Ahmed A, Freedman SD, Jiang ZG, Sheth SG. GlycA: Evaluation of a New Biomarker of Acute Pancreatitis. Biomolecules 2023; 13:1530. [PMID: 37892212 PMCID: PMC10605102 DOI: 10.3390/biom13101530] [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: 09/25/2023] [Revised: 09/29/2023] [Accepted: 10/03/2023] [Indexed: 10/29/2023] Open
Abstract
BACKGROUND Acute pancreatitis (AP) is a leading cause of gastrointestinal hospital admissions, with up to 40% mortality in patients with moderate-severe AP. Glycoprotein acetylation (GlycA) is measured as a nuclear magnetic resonance signal (NMR) of the post-translational modification of glycosylated acute-phase proteins released during inflammation. We aimed to investigate the role of GlycA as an inflammatory biomarker of AP. METHODS We prospectively enrolled 20 AP patients and 22 healthy controls and collected EDTA plasma samples at admission and discharge. NMR spectra were acquired from these samples using a 400 MHz Vantera® Clinical Analyzer, and GlycA concentrations were calculated (normal = 400 μmol/L). The GlycA NMR signal, at 2.00 ± 0.01 ppm in the NMR spectrum, is derived from the N-acetyl methyl group protons within the carbohydrate side chains of circulating glycoproteins such as α1-acid glycoprotein, haptoglobin, α1-antitrypsin, α1-antichymotrypsin, and transferrin. GlycA levels were then compared between AP patients and controls, as well as within the AP group, based on etiology and severity. RESULTS Demographic comparisons were similar, except for a higher BMI in AP patients compared to healthy controls (29.9 vs. 24.8 kg/m2; p < 0.001). AP was mild in 10 patients, moderate in 7, and severe in 3. GlycA levels were higher in AP patients than healthy controls on admission (578 vs. 376 μmol/L, p < 0.001) and at discharge (655 vs. 376 μmol/L, p < 0.001). GlycA levels were significantly higher in patients with moderate-severe AP than in those with mild AP at discharge (533 vs. 757 μmol/L, p = 0.023) but not at admission. After adjusting for BMI, multivariable regression indicated that patients with GlycA levels > 400 μmol/L had significantly higher odds of having AP of any severity (OR = 6.88; 95% CI, 2.07-32.2; p = 0.004) and mild AP (OR = 6.12; 95% CI, 1.48-42.0; p = 0.025) than controls. CONCLUSION Our pilot study highlights the use of GlycA as a novel diagnostic biomarker of inflammation in patients with AP. Our study shows that GlycA levels were significantly higher in hospitalized AP patients compared to healthy controls. Patients with moderate-to-severe AP had higher GlycA levels compared to patients with mild AP at the time of their hospital discharge, suggesting persistent inflammation in patients with severe disease.
Collapse
Affiliation(s)
- Ishani Shah
- Division of Gastroenterology and Hepatology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, USA
| | - William Yakah
- Institute of Human Nutrition, Columbia University Medical Center, New York, NY 10032, USA
| | - Awais Ahmed
- Division of Gastroenterology and Hepatology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, USA
| | - Steven D. Freedman
- Division of Gastroenterology and Hepatology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, USA
| | - Zhenghui G. Jiang
- Division of Gastroenterology and Hepatology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, USA
| | - Sunil G. Sheth
- Division of Gastroenterology and Hepatology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, USA
| |
Collapse
|
14
|
Hong BV, Agus JK, Tang X, Zheng JJ, Romo EZ, Lei S, Zivkovic AM. Precision Nutrition and Cardiovascular Disease Risk Reduction: the Promise of High-Density Lipoproteins. Curr Atheroscler Rep 2023; 25:663-677. [PMID: 37702886 PMCID: PMC10564829 DOI: 10.1007/s11883-023-01148-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/28/2023] [Indexed: 09/14/2023]
Abstract
PURPOSE OF REVIEW Emerging evidence supports the promise of precision nutritional approaches for cardiovascular disease (CVD) prevention. Here, we discuss current findings from precision nutrition trials and studies reporting substantial inter-individual variability in responses to diets and dietary components relevant to CVD outcomes. We highlight examples where early precision nutrition research already points to actionable intervention targets tailored to an individual's biology and lifestyle. Finally, we make the case for high-density lipoproteins (HDL) as a compelling next generation target for precision nutrition aimed at CVD prevention. HDL possesses complex structural features including diverse protein components, lipids, size distribution, extensive glycosylation, and interacts with the gut microbiome, all of which influence HDL's anti-inflammatory, antioxidant, and cholesterol efflux properties. Elucidating the nuances of HDL structure and function at an individual level may unlock personalized dietary and lifestyle strategies to optimize HDL-mediated atheroprotection and reduce CVD risk. RECENT FINDINGS Recent human studies have demonstrated that HDL particles are key players in the reduction of CVD risk. Our review highlights the role of HDL and the importance of personalized therapeutic approaches to improve their potential for reducing CVD risk. Factors such as diet, genetics, glycosylation, and gut microbiome interactions can modulate HDL structure and function at the individual level. We emphasize that fractionating HDL into size-based subclasses and measuring particle concentration are necessary to understand HDL biology and for developing the next generation of diagnostics and biomarkers. These discoveries underscore the need to move beyond a one-size-fits-all approach to HDL management. Precision nutrition strategies that account for personalized metabolic, genetic, and lifestyle data hold promise for optimizing HDL therapies and function to mitigate CVD risk more potently. While human studies show HDL play a key role in reducing CVD risk, recent findings indicate that factors such as diet, genetics, glycosylation, and gut microbes modulate HDL function at the individual level, underscoring the need for precision nutrition strategies that account for personalized variability to optimize HDL's potential for mitigating CVD risk.
Collapse
Affiliation(s)
- Brian V Hong
- Department of Nutrition, University of California, Davis, Davis, CA, 95616, USA
| | - Joanne K Agus
- Department of Nutrition, University of California, Davis, Davis, CA, 95616, USA
| | - Xinyu Tang
- Department of Nutrition, University of California, Davis, Davis, CA, 95616, USA
| | - Jack Jingyuan Zheng
- Department of Nutrition, University of California, Davis, Davis, CA, 95616, USA
| | - Eduardo Z Romo
- Department of Nutrition, University of California, Davis, Davis, CA, 95616, USA
| | - Susan Lei
- Department of Nutrition, University of California, Davis, Davis, CA, 95616, USA
| | - Angela M Zivkovic
- Department of Nutrition, University of California, Davis, Davis, CA, 95616, USA.
| |
Collapse
|
15
|
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.
Collapse
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.
| |
Collapse
|
16
|
Begum S, Lodge S, Hall D, Johnson BZ, Bong SH, Whiley L, Gray N, Fear VS, Fear MW, Holmes E, Wood FM, Nicholson JK. Cardiometabolic disease risk markers are increased following burn injury in children. Front Public Health 2023; 11:1105163. [PMID: 37333522 PMCID: PMC10275366 DOI: 10.3389/fpubh.2023.1105163] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 05/11/2023] [Indexed: 06/20/2023] Open
Abstract
Introduction Burn injury in children causes prolonged systemic effects on physiology and metabolism leading to increased morbidity and mortality, yet much remains undefined regarding the metabolic trajectory towards specific health outcomes. Methods A multi-platform strategy was implemented to evaluate the long-term immuno-metabolic consequences of burn injury combining metabolite, lipoprotein, and cytokine panels. Plasma samples from 36 children aged 4-8 years were collected 3 years after a burn injury together with 21 samples from non-injured age and sex matched controls. Three different 1H Nuclear Magnetic Resonance spectroscopic experiments were applied to capture information on plasma low molecular weight metabolites, lipoproteins, and α-1-acid glycoprotein. Results Burn injury was characterized by underlying signatures of hyperglycaemia, hypermetabolism and inflammation, suggesting disruption of multiple pathways relating to glycolysis, tricarboxylic acid cycle, amino acid metabolism and the urea cycle. In addition, very low-density lipoprotein sub-components were significantly reduced in participants with burn injury whereas small-dense low density lipoprotein particles were significantly elevated in the burn injured patient plasma compared to uninjured controls, potentially indicative of modified cardiometabolic risk after a burn. Weighted-node Metabolite Correlation Network Analysis was restricted to the significantly differential features (q <0.05) between the children with and without burn injury and demonstrated a striking disparity in the number of statistical correlations between cytokines, lipoproteins, and small molecular metabolites in the injured groups, with increased correlations between these groups. Discussion These findings suggest a 'metabolic memory' of burn defined by a signature of interlinked and perturbed immune and metabolic function. Burn injury is associated with a series of adverse metabolic changes that persist chronically and are independent of burn severity and this study demonstrates increased risk of cardiovascular disease in the long-term. These findings highlight a crucial need for improved longer term monitoring of cardiometabolic health in a vulnerable population of children that have undergone burn injury.
Collapse
Affiliation(s)
- Sofina Begum
- Harvard Medical School, Harvard University, Boston, MA, United States
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA, United States
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom
- Australian National Phenome Centre, Computational and Systems Medicine, Health Futures Institute, Perth, WA, Australia
- School of Biomedical Sciences, The University of Western Australia, Perth, WA, Australia
| | - Samantha Lodge
- Australian National Phenome Centre, Computational and Systems Medicine, Health Futures Institute, Perth, WA, Australia
| | - Drew Hall
- Australian National Phenome Centre, Computational and Systems Medicine, Health Futures Institute, Perth, WA, Australia
| | - Blair Z. Johnson
- School of Biomedical Sciences, The University of Western Australia, Perth, WA, Australia
| | - Sze How Bong
- Australian National Phenome Centre, Computational and Systems Medicine, Health Futures Institute, Perth, WA, Australia
| | - Luke Whiley
- Australian National Phenome Centre, Computational and Systems Medicine, Health Futures Institute, Perth, WA, Australia
- Perron Institute for Neurological and Translational Science, Nedlands, WA, Australia
- Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, Australia
| | - Nicola Gray
- Australian National Phenome Centre, Computational and Systems Medicine, Health Futures Institute, Perth, WA, Australia
- Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, Australia
| | - Vanessa S. Fear
- Translational Genetics, Telethon Kids Institute, Perth, WA, Australia
| | - Mark W. Fear
- School of Biomedical Sciences, The University of Western Australia, Perth, WA, Australia
| | - Elaine Holmes
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom
- Australian National Phenome Centre, Computational and Systems Medicine, Health Futures Institute, Perth, WA, Australia
- Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, Australia
| | - Fiona M. Wood
- School of Biomedical Sciences, The University of Western Australia, Perth, WA, Australia
- WA Department of Health, Burns Service of Western Australia, Perth, WA, Australia
| | - Jeremy K. Nicholson
- Australian National Phenome Centre, Computational and Systems Medicine, Health Futures Institute, Perth, WA, Australia
- Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, Australia
- Faculty of Medicine, Institute of Global Health Innovation, London, United Kingdom
| |
Collapse
|
17
|
Cesena FY, Generoso G, Santos RD, Pereira AC, Blaha MJ, Jones SR, Toth PP, Lotufo PA, Bittencourt MS, Benseñor IM. The association between triglyceride-rich lipoproteins, circulating leukocytes, and low-grade inflammation: The Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). J Clin Lipidol 2023; 17:261-271. [PMID: 36878763 DOI: 10.1016/j.jacl.2023.01.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Revised: 01/25/2023] [Accepted: 01/31/2023] [Indexed: 02/11/2023]
Abstract
BACKGROUND Experimental studies have linked triglyceride-rich lipoproteins (TRLs) to inflammation, but the extent of this phenomenon in vivo has not been completely elucidated. OBJECTIVE We investigated the association between TRL subparticles and inflammatory markers (circulating leukocytes, plasma high-sensitivity C-reactive protein [hs-CRP], and GlycA) in the general population. METHODS This was a cross-sectional analysis of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). TRLs (number of particles per unit volume) and GlycA were measured by nuclear magnetic resonance spectroscopy. The association between TRLs and inflammatory markers was determined by multiple linear regression models adjusted for demographic data, metabolic conditions, and lifestyle factors. Standardized regression coefficients (beta) with 95% confidence intervals are reported. RESULTS The study population comprised 4,001 individuals (54% females, age 50 ± 9 years). TRLs, especially medium and large subparticles, were associated with GlycA (beta 0.202 [0.168, 0.235], p<0.001 for total TRLs). There was no association between TRLs and hs-CRP (beta 0.022 [-0.011, 0.056], p = 0.190). Medium, large, and very large TRLs were associated with leukocytes, with stronger connections with neutrophils and lymphocytes than monocytes. When TRL subclasses were analyzed as the proportion of the total pool of TRL particles, medium and large TRLs were positively related to leukocytes and GlycA, whereas smaller particles were inversely associated. CONCLUSIONS There are different patterns of association between TRL subparticles and inflammatory markers. The findings support the hypothesis that TRLs (especially medium and larger subparticles) may induce a low-grade inflammatory environment that involves leukocyte activation and is captured by GlycA, but not hs-CRP.
Collapse
Affiliation(s)
| | - Giuliano Generoso
- Center for Clinical and Epidemiological Research, University Hospital, University of São Paulo, São Paulo, SP, Brazil
| | - Raul D Santos
- Heart Institute (InCor), University of São Paulo Medical School Hospital, São Paulo, SP, Brazil; Hospital Israelita Albert Einstein, São Paulo, SP, Brazil
| | - Alexandre Costa Pereira
- Laboratory of Genetics and Molecular Cardiology (LIM13), University of São Paulo Medical School Hospital, São Paulo, SP, Brazil; Genetics Department, Harvard Medical School, Boston, MA, USA
| | - Michael J Blaha
- The Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Baltimore, MD, USA
| | - Steven R Jones
- The Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Baltimore, MD, USA
| | - Peter P Toth
- The Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Baltimore, MD, USA; Preventive Cardiology, CGH Medical Center, Sterling, IL, USA
| | - Paulo A Lotufo
- Center for Clinical and Epidemiological Research, University Hospital, University of São Paulo, São Paulo, SP, Brazil
| | | | - Isabela M Benseñor
- Center for Clinical and Epidemiological Research, University Hospital, University of São Paulo, São Paulo, SP, Brazil
| |
Collapse
|
18
|
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.
Collapse
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
| |
Collapse
|
19
|
Association of Advanced Lipoprotein Subpopulation Profiles with Insulin Resistance and Inflammation in Patients with Type 2 Diabetes Mellitus. J Clin Med 2023; 12:jcm12020487. [PMID: 36675414 PMCID: PMC9864672 DOI: 10.3390/jcm12020487] [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: 10/20/2022] [Revised: 11/10/2022] [Accepted: 11/20/2022] [Indexed: 01/11/2023] Open
Abstract
Plasma lipoproteins exist as several subpopulations with distinct particle number and size that are not fully reflected in the conventional lipid panel. In this study, we sought to quantify lipoprotein subpopulations in patients with type 2 diabetes mellitus (T2DM) to determine whether specific lipoprotein subpopulations are associated with insulin resistance and inflammation markers. The study included 57 patients with T2DM (age, 61.14 ± 9.99 years; HbA1c, 8.66 ± 1.60%; mean body mass index, 35.15 ± 6.65 kg/m2). Plasma lipoprotein particles number and size were determined by nuclear magnetic resonance spectroscopy. Associations of different lipoprotein subpopulations with lipoprotein insulin resistance (LPIR) score and glycoprotein acetylation (GlycA) were assessed using multi-regression analysis. In stepwise regression analysis, VLDL and HDL large particle number and size showed the strongest associations with LPIR (R2 = 0.960; p = 0.0001), whereas the concentrations of the small VLDL and HDL particles were associated with GlycA (R2 = 0.190; p = 0.008 and p = 0.049, respectively). In adjusted multi-regression analysis, small and large VLDL particles and all sizes of lipoproteins independently predicted LPIR, whereas only the number of small LDL particles predicted GlycA. Conventional markers HbA1c and Hs-CRP did not exhibit any significant association with lipoprotein subpopulations. Our data suggest that monitoring insulin resistance-induced changes in lipoprotein subpopulations in T2DM might help to identify novel biomarkers that can be useful for effective clinical intervention.
Collapse
|
20
|
Voros S, Bansal AT, Barnes MR, Narula J, Maurovich-Horvat P, Vazquez G, Marvasty IB, Brown BO, Voros ID, Harris W, Voros V, Dayspring T, Neff D, Greenfield A, Furchtgott L, Church B, Runge K, Khalil I, Hayete B, Lucero D, Remaley AT, Newton RS. Bayesian network analysis of panomic biological big data identifies the importance of triglyceride-rich LDL in atherosclerosis development. Front Cardiovasc Med 2023; 9:960419. [PMID: 36684605 PMCID: PMC9845579 DOI: 10.3389/fcvm.2022.960419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 11/23/2022] [Indexed: 01/06/2023] Open
Abstract
Introduction We sought to explore biomarkers of coronary atherosclerosis in an unbiased fashion. Methods We analyzed 665 patients (mean ± SD age, 56 ± 11 years; 47% male) from the GLOBAL clinical study (NCT01738828). Cases were defined by the presence of any discernable atherosclerotic plaque based on comprehensive cardiac computed tomography (CT). De novo Bayesian networks built out of 37,000 molecular measurements and 99 conventional biomarkers per patient examined the potential causality of specific biomarkers. Results Most highly ranked biomarkers by gradient boosting were interleukin-6, symmetric dimethylarginine, LDL-triglycerides [LDL-TG], apolipoprotein B48, palmitoleic acid, small dense LDL, alkaline phosphatase, and asymmetric dimethylarginine. In Bayesian analysis, LDL-TG was directly linked to atherosclerosis in over 95% of the ensembles. Genetic variants in the genomic region encoding hepatic lipase (LIPC) were associated with LIPC gene expression, LDL-TG levels and with atherosclerosis. Discussion Triglyceride-rich LDL particles, which can now be routinely measured with a direct homogenous assay, may play an important role in atherosclerosis development. Clinical trial registration GLOBAL clinical study (Genetic Loci and the Burden of Atherosclerotic Lesions); [https://clinicaltrials.gov/ct2/show/NCT01738828?term=NCT01738828&rank=1], identifier [NCT01738828].
Collapse
Affiliation(s)
- Szilard Voros
- Global Genomics Group, Atlanta, GA, United States,*Correspondence: Szilard Voros,
| | | | | | - Jagat Narula
- Mount Sinai School of Medicine, New York, NY, United States
| | - Pal Maurovich-Horvat
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Gustavo Vazquez
- Global Institute for Research, LLC, Richmond, VA, United States
| | | | | | | | | | - Viktor Voros
- Global Genomics Group, Atlanta, GA, United States,Department of Psychiatry, Medical School, University of Pécs, Pécs, Hungary
| | | | - David Neff
- Global Genomics Group, Atlanta, GA, United States
| | | | | | | | - Karl Runge
- GNS Healthcare, Somerville, MA, United States
| | - Iya Khalil
- GNS Healthcare, Somerville, MA, United States
| | | | - Diego Lucero
- Lipoprotein Metabolism Laboratory, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Alan T. Remaley
- Lipoprotein Metabolism Laboratory, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | | |
Collapse
|
21
|
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.
Collapse
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
| |
Collapse
|
22
|
There is urgent need to treat atherosclerotic cardiovascular disease risk earlier, more intensively, and with greater precision: A review of current practice and recommendations for improved effectiveness. Am J Prev Cardiol 2022; 12:100371. [PMID: 36124049 PMCID: PMC9482082 DOI: 10.1016/j.ajpc.2022.100371] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 07/10/2022] [Accepted: 08/05/2022] [Indexed: 12/12/2022] Open
Abstract
Atherosclerotic cardiovascular disease (ASCVD) is epidemic throughout the world and is etiologic for such acute cardiovascular events as myocardial infarction, ischemic stroke, unstable angina, and death. ASCVD also impacts risk for dementia, chronic kidney disease peripheral arterial disease and mobility, impaired sexual response, and a host of other visceral impairments that adversely impact the quality and rate of progression of aging. The relationship between low-density lipoprotein cholesterol (LDL-C) and risk for ASCVD is one of the most highly established and investigated issues in the entirety of modern medicine. Elevated LDL-C is a necessary condition for atherogenesis induction. Basic scientific investigation, prospective longitudinal cohorts, and randomized clinical trials have all validated this association. Yet despite the enormous number of clinical trials which support the need for reducing the burden of atherogenic lipoprotein in blood, the percentage of high and very high-risk patients who achieve risk stratified LDL-C target reductions is low and has remained low for the last thirty years. Atherosclerosis is a preventable disease. As clinicians, the time has come for us to take primordial and primary prevention more serously. Despite a plethora of therapeutic approaches, the large majority of patients at risk for ASCVD are poorly or inadequately treated, leaving them vulnerable to disease progression, acute cardiovascular events, and poor aging due to loss of function in multiple visceral organs. Herein we discuss the need to greatly intensify efforts to reduce risk, decrease disease burden, and provide more comprehensive and earlier risk assessment to optimally prevent ASCVD and its complications. Evidence is presented to support that treatment should aim for far lower goals in cholesterol management, should take into account many more factors than commonly employed today and should begin significantly earlier in life.
Collapse
|
23
|
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.
Collapse
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
| |
Collapse
|
24
|
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.
Collapse
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
| |
Collapse
|
25
|
García-Gavilán JF, Connelly MA, Babio N, Matzoros CS, Ros E, Salas-Salvadó J. Nut consumption is associated with a shift of the NMR lipoprotein subfraction profile to a less atherogenic pattern among older individuals at high CVD risk. Cardiovasc Diabetol 2022; 21:189. [PMID: 36127725 PMCID: PMC9487141 DOI: 10.1186/s12933-022-01624-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 09/08/2022] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Scientific evidence has accumulated on the beneficial effects of nut consumption on cardiovascular risk and cholesterol reduction, but few studies have examined the effects of nuts on advanced measures of lipoprotein atherogenicity determined by nuclear magnetic resonance (NMR) spectroscopy. We analyzed associations between the amount and type of of nuts consumed and advanced measures of lipoprotein atherogenity and insulin resistance in older individuals at high cardiovascular risk. METHODS The present observational study was carried out within the framework of the Prevención con Dieta Mediterránea (PREDIMED) trial. Cross-sectional and longitudinal analyses after 1-year of follow-up were conducted in 196 men and women recruited in the PREDIMED-Reus (Spain) center. Dietary intake was assessed using a validated semi-quantitative food questionnaire. Baseline and 1-year fasting plasma lipoprotein and metabolite profiling were performed in plasma using NMR spectra Vantera® Clinical Analyzer. Associations by tertiles of nut consumption between baseline and 1-year changes and advanced measures of lipoprotein atherogenicity, branched chain amminoacids, and measures of insulin resistance were tested by multivariable-adjusted ANCOVA models. RESULTS Compared to paticipants in the bottom tertile, those in the top tertile of total nut consumption showed higher levels of large HDL particles and HDL-cholesterol, lower levels of branched-chain amino acids (BCAA) and GlycA, and reduced lipoprotein insulin resistance and diabetes risk index. Participants in the top tertile of walnut consumption disclosed lower levels of very large VLDL, total LDL particles, LDL-cholesterol, and GlycA. Participants in the top tertile of non-walnut nut consumption displayed higher levels of total HDL particles, HDL-cholesterol and apoliporotein A1, lower BCAA and GlycA, and reduced lipoprotein insulin resistance. Participants in the top tertile of 1-year changes in walnut consumption showed increases in medium-sized HDL particles in comparison to the bottom tertile. CONCLUSIONS In older individuals at high cardiovascular risk, increasing nut consumption was associated with a shift of the NMR lipoprotein subfraction profile to a less atherogenic pattern, as well as lower circulating concentrations of BCAA and decreased insulin resistance. These results provide novel mechanistic insight into the cardiovascular benefit of nut consumption. Trial registration ISRCTN35739639; registration date: 05/10/2005; recruitment start date 01/10/2003.
Collapse
Affiliation(s)
- Jesús F García-Gavilán
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, 43201, Reus, Tarragona, Spain.,Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.,Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Margery A Connelly
- Laboratory Corporation of America® Holdings (Labcorp), Morrisville, Raleigh, NC, USA
| | - Nancy Babio
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, 43201, Reus, Tarragona, Spain.,Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.,Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Christos S Matzoros
- Department of Medicine, Beth Israel Deaconess Medical Center/Harvard Medical School, Boston, MA, 02215, USA.,Section of Endocrinology, VA Boston Healthcare System, Jamaica Plain, Boston, MA, 02130, USA
| | - Emilio Ros
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.,Lipid Clinic, Department of Endocrinology and Nutrition, Agust Pi i Sunyer Biomedical Research Institute (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Jordi Salas-Salvadó
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, 43201, Reus, Tarragona, Spain. .,Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain. .,Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
| |
Collapse
|
26
|
Lucero D, Wolska A, Aligabi Z, Turecamo S, Remaley AT. Lipoprotein Assessment in the twenty-first Century. Endocrinol Metab Clin North Am 2022; 51:459-481. [PMID: 35963624 PMCID: PMC9382697 DOI: 10.1016/j.ecl.2022.02.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Based on decades of both basic science and epidemiologic research, there is overwhelming evidence for the causal relationship between high levels of cholesterol, especially low-density lipoprotein cholesterol and cardiovascular disease. Risk evaluation and monitoring the response to lipid-lowering therapies are heavily dependent on the accurate assessment of plasma lipoproteins in the clinical laboratory. This article provides an update of lipoprotein metabolism as it relates to atherosclerosis and how diagnostic measures of lipids and lipoproteins can serve as markers of cardiovascular risk, with a focus on recent advances in cardiovascular risk marker testing.
Collapse
Affiliation(s)
- Diego Lucero
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, 9000 Rockville Pike, Building 10, Room 5D09, Bethesda, MD 20892, USA.
| | - Anna Wolska
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute. National Institutes of Health, 9000 Rockville Pike, Building 10, Room 5N323, Bethesda, MD 20892, USA
| | - Zahra Aligabi
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, 9000 Rockville Pike, Building 10, Room 5D09, Bethesda, MD 20892, USA
| | - Sarah Turecamo
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute. National Institutes of Health, 9000 Rockville Pike, Building 10, Room 5N323, Bethesda, MD 20892, USA
| | - Alan T Remaley
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, 9000 Rockville Pike, Building 10, Room 5D09, Bethesda, MD 20892, USA
| |
Collapse
|
27
|
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.
Collapse
|
28
|
Evidence of a genetically driven metabolomic signature in actively inflamed Crohn's disease. Sci Rep 2022; 12:14101. [PMID: 35982195 PMCID: PMC9388636 DOI: 10.1038/s41598-022-18178-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 08/08/2022] [Indexed: 11/09/2022] Open
Abstract
Crohn's disease (CD) is characterised by chronic inflammation. We aimed to identify a relationship between plasma inflammatory metabolomic signature and genomic data in CD using blood plasma metabolic profiles. Proton NMR spectroscopy were achieved for 228 paediatric CD patients. Regression (OPLS) modelling and machine learning (ML) approaches were independently applied to establish the metabolic inflammatory signature, which was correlated against gene-level pathogenicity scores generated for all patients and functional enrichment was analysed. OPLS modelling of metabolomic spectra from unfasted patients revealed distinctive shifts in plasma metabolites corresponding to regions of the spectrum assigned to N-acetyl glycoprotein, glycerol and phenylalanine that were highly correlated (R2 = 0.62) with C-reactive protein levels. The same metabolomic signature was independently identified using ML to predict patient inflammation status. Correlation of the individual peaks comprising this metabolomic signature of inflammation with pathogenic burden across 15,854 unselected genes identified significant enrichment for genes functioning within 'intrinsic component of membrane' (p = 0.003) and 'inflammatory bowel disease (IBD)' (p = 0.003). The seven genes contributing IBD enrichment are critical regulators of pro-inflammatory signaling. Overall, a metabolomic signature of inflammation can be detected from blood plasma in CD. This signal is correlated with pathogenic mutation in pro-inflammatory immune response genes.
Collapse
|
29
|
Emeasoba EU, Ibeson E, Nwosu I, Montemarano N, Shani J, Shetty VS. Clinical Relevance of Nuclear Magnetic Resonance LipoProfile. FRONTIERS IN NUCLEAR MEDICINE (LAUSANNE, SWITZERLAND) 2022; 2:960522. [PMID: 39354981 PMCID: PMC11440956 DOI: 10.3389/fnume.2022.960522] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 06/21/2022] [Indexed: 10/03/2024]
Abstract
Identifying risk factors for cardiovascular diseases in patients is key to reducing their resulting morbidity and mortality. Currently, risk factors are assessed using parameters that include and emphasize the role of the level of cholesterol carried by lipoproteins. Most providers focus on targeting cholesterol levels in patient management. However, recent research shows that lipoprotein particle number is more predictive of cardiovascular risk than cholesterol levels. The Nuclear Magnetic Resonance (NMR) LipoProfile test assesses the number of lipoprotein particles, sizes of lipoproteins, levels of cholesterol, and patient risk categories. Furthermore, it enables the identification of patients with underestimated cardiovascular risks-those with a discordant high number of low-density lipoprotein (LDL) particles (LDL-P) despite low cholesterol levels. While the NMR LipoProfile test requires a higher cost and longer waiting time for results in comparison to the lipid panel test, its advantages cannot be ignored. This review article focuses on exploring the routine use of NMR LipoProfile in clinical practice.
Collapse
Affiliation(s)
| | - Emeka Ibeson
- Department of Medicine, Maimonides Medical Center, New York, NY, United States
| | - Ifeanyi Nwosu
- Department of Medicine, Maimonides Medical Center, New York, NY, United States
| | - Nadine Montemarano
- Heart and Vascular Institute, Maimonides Medical Center, New York, NY, United States
| | - Jacob Shani
- Heart and Vascular Institute, Maimonides Medical Center, New York, NY, United States
| | - Vijay S. Shetty
- Heart and Vascular Institute, Maimonides Medical Center, New York, NY, United States
| |
Collapse
|
30
|
The Effects of Eggs in a Plant-Based Diet on Oxidative Stress and Inflammation in Metabolic Syndrome. Nutrients 2022; 14:nu14122548. [PMID: 35745278 PMCID: PMC9228303 DOI: 10.3390/nu14122548] [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: 05/25/2022] [Revised: 06/10/2022] [Accepted: 06/17/2022] [Indexed: 02/07/2023] Open
Abstract
We recently reported that the inclusion of whole eggs in plant-based diets (PBD) increased plasma choline, lutein, and zeaxanthin in individuals with metabolic syndrome (MetS). The objective of the current study was to evaluate whether this dietary pattern would protect against oxidative stress and low-grade inflammation, two common characteristics of MetS. We recruited 24 men and women with MetS, who, after following a PBD for 2 weeks (baseline), were randomly allocated to consume either two whole eggs with 70 g of spinach/day (EGG) or the equivalent amount of egg substitute with spinach (SUB) as breakfast for 4 weeks. After a 3-week washout, they were allocated to the alternate breakfast. We measured biomarkers of oxidation and inflammation at baseline and at the end of each intervention. Tumor necrosis factor-alpha, interleukin-6, monocyte protein attractant-1, liver enzymes, and C-reactive protein, as well as total antioxidant capacity, paraoxonase-1 (PON-1) activity, and other biomarkers of oxidation were not different at the end of EGG or SUB or when compared to baseline. However, plasma malondialdehyde (MDA) concentrations were lower (p < 0.05) during the EGG and baseline compared to SUB. In addition, the increases in dietary lutein and zeaxanthin previously observed had a strong positive correlation with PON-1 activity (r = 0.522, p < 0.01) only during the EGG period, whereas plasma zeaxanthin was negatively correlated with MDA (r = −0.437, p < 0.01). The number of participants with MetS was reduced from 24 during screening to 21, 13, and 17 during the BL, EGG, and SUB periods, respectively, indicating that eggs were more effective in reversing the characteristics of MetS. These data suggest that adding eggs to a PBD does not detrimentally affect inflammation or oxidative stress; on the contrary, eggs seem to provide additional protection against the biomarkers that define MetS.
Collapse
|
31
|
Factors Influencing Gallstone Formation: A Review of the Literature. Biomolecules 2022; 12:biom12040550. [PMID: 35454138 PMCID: PMC9026518 DOI: 10.3390/biom12040550] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 03/29/2022] [Accepted: 03/31/2022] [Indexed: 02/04/2023] Open
Abstract
Gallstone disease is a common pathology of the digestive system with nearly a 10–20% incidence rate among adults. The mainstay of treatment is cholecystectomy, which is commonly associated with physical pain and may also seriously affect a patient’s quality of life. Clinical research suggests that cholelithiasis is closely related to the age, gender, body mass index, and other basic physical characteristics of patients. Clinical research further suggests that the occurrence of cholelithiasis is related to obesity, diabetes, non-alcoholic fatty liver, and other diseases. For this reason, we reviewed the following: genetic factors; excessive liver cholesterol secretion (causing cholesterol supersaturation in gallbladder bile); accelerated growth of cholesterol crystals and solid cholesterol crystals; gallbladder motility impairment; and cardiovascular factors. Herein, we summarize and analyze the causes and mechanisms of cholelithiasis, discuss its correlation with the pathogenesis of related diseases, and discuss possible mechanisms.
Collapse
|
32
|
Moreno-Vedia J, Rosales R, Ozcariz E, Llop D, Lahuerta M, Benavent M, Rodríguez-Calvo R, Plana N, Pedragosa A, Masana L, Castro A, Ibarretxe D, Girona J. Triglyceride-Rich Lipoproteins and Glycoprotein A and B Assessed by 1H-NMR in Metabolic-Associated Fatty Liver Disease. Front Endocrinol (Lausanne) 2022; 12:775677. [PMID: 35082753 PMCID: PMC8785395 DOI: 10.3389/fendo.2021.775677] [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: 09/14/2021] [Accepted: 12/09/2021] [Indexed: 11/23/2022] Open
Abstract
High plasma triglyceride (TG) levels and chronic inflammation are important factors related to metabolic-associated fatty liver disease in patients at cardiovascular risk. Using nuclear magnetic resonance (1H-NMR), we aimed to study the triglyceride-rich lipoprotein (TRL) and acute-phase glycoprotein profiles of a cohort of patients with metabolic disease and their relationship with fatty liver. Plasma samples of 280 patients (type 2 diabetes, 81.1%; obesity, 63.3%; and metabolic syndrome, 91.8%) from the University Hospital Lipid Unit were collected for the measurement of small, medium and large TRL particle numbers and sizes and glycoprotein profiles (Glyc-A and Glyc-B) by 1H-NMR. Liver function parameters, including the fatty liver index (FLI) and fibrosis-4 (FIB-4) score, were assessed. Hepatic echography assessment was performed in 100 patients, and they were followed up for 10 years. TRL particle concentrations showed a strong positive association with Glyc-A and Glyc-B (ρ=0.895 and ρ=0.654, p<0.001, respectively) and with the liver function-related proteins ALT ρ=0.293, p<0.001), AST (ρ=0.318, p<0.001) and GGT (ρ=0.284, p<0.001). Likewise, TRL concentrations showed a positive association with FLI (ρ=0.425, p<0.001) but not with FIB-4. During the follow-up period of 10 years, 18 new cases of steatosis were observed among 64 patients who were disease-free at baseline. Baseline TRL particle numbers and glycoprotein levels were associated with the new development of metabolic-associated fatty liver disease (MAFLD) (AUC=0.692, p=0.018 and AUC=0.669, p=0.037, respectively). Overall, our results indicated that TRL number and acute-phase glycoproteins measured by 1H-NMR could be potential biomarkers of the development of hepatic steatosis in patients at metabolic risk.
Collapse
Affiliation(s)
- Juan Moreno-Vedia
- Vascular Medicine and Metabolism Unit, Research Unit on Lipids and Atherosclerosis, Sant Joan University Hospital, Universitat Rovira i Virgili, Reus, Spain
- Institut Investigació Sanitaria Pere Virgili (IISPV), Reus, Spain
| | - Roser Rosales
- Vascular Medicine and Metabolism Unit, Research Unit on Lipids and Atherosclerosis, Sant Joan University Hospital, Universitat Rovira i Virgili, Reus, Spain
- Institut Investigació Sanitaria Pere Virgili (IISPV), Reus, Spain
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain
| | | | - Dídac Llop
- Vascular Medicine and Metabolism Unit, Research Unit on Lipids and Atherosclerosis, Sant Joan University Hospital, Universitat Rovira i Virgili, Reus, Spain
- Institut Investigació Sanitaria Pere Virgili (IISPV), Reus, Spain
| | - Maribel Lahuerta
- Vascular Medicine and Metabolism Unit, Research Unit on Lipids and Atherosclerosis, Sant Joan University Hospital, Universitat Rovira i Virgili, Reus, Spain
| | - María Benavent
- Vascular Medicine and Metabolism Unit, Research Unit on Lipids and Atherosclerosis, Sant Joan University Hospital, Universitat Rovira i Virgili, Reus, Spain
| | - Ricardo Rodríguez-Calvo
- Vascular Medicine and Metabolism Unit, Research Unit on Lipids and Atherosclerosis, Sant Joan University Hospital, Universitat Rovira i Virgili, Reus, Spain
- Institut Investigació Sanitaria Pere Virgili (IISPV), Reus, Spain
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain
| | - Núria Plana
- Vascular Medicine and Metabolism Unit, Research Unit on Lipids and Atherosclerosis, Sant Joan University Hospital, Universitat Rovira i Virgili, Reus, Spain
- Institut Investigació Sanitaria Pere Virgili (IISPV), Reus, Spain
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain
| | - Angels Pedragosa
- Vascular Medicine and Metabolism Unit, Research Unit on Lipids and Atherosclerosis, Sant Joan University Hospital, Universitat Rovira i Virgili, Reus, Spain
| | - Lluís Masana
- Vascular Medicine and Metabolism Unit, Research Unit on Lipids and Atherosclerosis, Sant Joan University Hospital, Universitat Rovira i Virgili, Reus, Spain
- Institut Investigació Sanitaria Pere Virgili (IISPV), Reus, Spain
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain
| | - Antoni Castro
- Institut Investigació Sanitaria Pere Virgili (IISPV), Reus, Spain
- Internal Medicine Department, Sant Joan University Hospital, Universitat Rovira i Virgili, Reus, Spain
| | - Daiana Ibarretxe
- Vascular Medicine and Metabolism Unit, Research Unit on Lipids and Atherosclerosis, Sant Joan University Hospital, Universitat Rovira i Virgili, Reus, Spain
- Institut Investigació Sanitaria Pere Virgili (IISPV), Reus, Spain
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain
| | - Josefa Girona
- Vascular Medicine and Metabolism Unit, Research Unit on Lipids and Atherosclerosis, Sant Joan University Hospital, Universitat Rovira i Virgili, Reus, Spain
- Institut Investigació Sanitaria Pere Virgili (IISPV), Reus, Spain
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain
| |
Collapse
|
33
|
Anderson AM, Bhondoekhan F, Curanovic D, Connelly MA, Otvos JD, Post WS, Michos ED, Lahiri C, Wolinsky S, Levine A, Seaberg EC, Rubin LH, Vance DE, Becker JT. GlycA is associated with neuropsychological impairment in men with HIV. AIDS 2022; 36:156-159. [PMID: 34873097 PMCID: PMC8667277 DOI: 10.1097/qad.0000000000003094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Affiliation(s)
- Albert M Anderson
- Department of Medicine, Division of Infectious Diseases, Emory University School of Medicine, Atlanta, Georgia
| | | | - Dusica Curanovic
- Laboratory Corporation of America Holdings (Labcorp), Morrisville, North Carolina
| | - Margery A Connelly
- Laboratory Corporation of America Holdings (Labcorp), Morrisville, North Carolina
| | - James D Otvos
- Laboratory Corporation of America Holdings (Labcorp), Morrisville, North Carolina
| | - Wendy S Post
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Erin D Michos
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Cecile Lahiri
- Department of Medicine, Division of Infectious Diseases, Emory University School of Medicine, Atlanta, Georgia
| | | | - Andrew Levine
- David Geffen School of Medicine at the University of California at Los Angeles, Los Angeles, California
| | | | | | - David E Vance
- School of Nursing, University of Alabama at Birmingham, Birmingham, Alabama
| | | |
Collapse
|
34
|
Association between serum α1-antitrypsin levels and all-cause mortality in the general population: the Nagahama study. Sci Rep 2021; 11:17241. [PMID: 34446826 PMCID: PMC8390682 DOI: 10.1038/s41598-021-96833-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 08/17/2021] [Indexed: 11/20/2022] Open
Abstract
Circulating levels of inflammatory proteins have to be prognostic markers of all-cause mortality. α1-Antitrypsin (AAT) is a major inflammatory plasma protein, but its association with all-cause mortality is unclear. We aimed to evaluate the prognostic significance of AAT levels for all-cause mortality. Study participants comprised 9682 community residents (53.5 ± 13.3 years old). During the 9.8-year follow-up period, 313 participants died from any cause. The mortality rate increased linearly with AAT quintiles (Q1, 18.2; Q2, 24.7; Q3, 23.8; Q4, 31.9; Q5, 64.6 per 10,000 person-years). There were significant correlations between AAT and high-sensitivity C-reactive protein (hsCRP) levels (correlation coefficient, 0.331; P < 0.001). However, the Cox model analysis, when adjusted for possible covariates including hsCRP, identified the fifth AAT quintile as a risk factor for all-cause death (hazard ratio, 2.12 [95% confidence interval, 1.41–3.18]; P < 0.001). An analysis of participants older than 50 years (hazard ratio, 1.98, P < 0.001) yielded similar results. The hazard ratio increased proportionately in combination with high AAT and high hsCRP levels, and the highest hazard ratio reached 4.51 (95% confidence interval, 3.14–6.54, P < 0.001). High AAT levels were determined to be an independent risk factor for mortality in the general population.
Collapse
|
35
|
Ballout RA, Kong H, Sampson M, Otvos JD, Cox AL, Agbor-Enoh S, Remaley AT. The NIH Lipo-COVID Study: A Pilot NMR Investigation of Lipoprotein Subfractions and Other Metabolites in Patients with Severe COVID-19. Biomedicines 2021; 9:1090. [PMID: 34572275 PMCID: PMC8471250 DOI: 10.3390/biomedicines9091090] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 08/11/2021] [Accepted: 08/23/2021] [Indexed: 12/15/2022] Open
Abstract
A complex interplay exists between plasma lipoproteins and inflammation, as evidenced from studies on atherosclerosis. Alterations in plasma lipoprotein levels in the context of infectious diseases, particularly respiratory viral infections, such as SARS-CoV-2, have become of great interest in recent years, due to their potential utility as prognostic markers. Patients with severe COVID-19 have been reported to have low levels of total cholesterol, HDL-cholesterol, and LDL-cholesterol, but elevated levels of triglycerides. However, a detailed characterization of the particle counts and sizes of the different plasma lipoproteins in patients with COVID-19 has yet to be reported. In this pilot study, NMR spectroscopy was used to characterize lipoprotein particle numbers and sizes, and various metabolites, in 32 patients with severe COVID-19 admitted to the intensive care unit. Our study revealed markedly reduced HDL particle (HDL-P) numbers at presentation, especially low numbers of small HDL-P (S-HDL-P), and high counts of triglyceride-rich lipoprotein particle (TRL-P), particularly the very small and small TRL subfractions. Moreover, patients with severe COVID-19 were found to have remarkably elevated GlycA levels, and elevated levels of branched-chain amino acids and beta-hydroxybutyrate. Finally, we detected elevated levels of lipoproteins X and Z in most participants, which are distinct markers of hepatic dysfunction, and that was a novel finding.
Collapse
Affiliation(s)
- Rami A. Ballout
- Lipoprotein Metabolism Section, Translational Vascular Medicine Branch, National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD 20892, USA;
| | - Hyesik Kong
- Genomic Research Alliance for Transplantation (GRAfT) and Laboratory of Applied Precision Omics, National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD 20892, USA;
| | - Maureen Sampson
- Clinical Center, Department of Laboratory Medicine, National Institutes of Health (NIH), Bethesda, MD 20892, USA;
| | - James D. Otvos
- Laboratory Corporation of America Holdings (LabCorp), Morrisville, NC 27560, USA;
| | - Andrea L. Cox
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA;
| | - Sean Agbor-Enoh
- Genomic Research Alliance for Transplantation (GRAfT) and Laboratory of Applied Precision Omics, National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD 20892, USA;
| | - Alan T. Remaley
- Lipoprotein Metabolism Section, Translational Vascular Medicine Branch, National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD 20892, USA;
- Clinical Center, Department of Laboratory Medicine, National Institutes of Health (NIH), Bethesda, MD 20892, USA;
| |
Collapse
|
36
|
Cacciatore S, Wium M, Licari C, Ajayi-Smith A, Masieri L, Anderson C, Salukazana AS, Kaestner L, Carini M, Carbone GM, Catapano CV, Loda M, Libermann TA, Zerbini LF. Inflammatory metabolic profile of South African patients with prostate cancer. Cancer Metab 2021; 9:29. [PMID: 34344464 PMCID: PMC8336341 DOI: 10.1186/s40170-021-00265-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Accepted: 07/21/2021] [Indexed: 12/24/2022] Open
Abstract
Background Men with African ancestry are more likely to develop aggressive prostate cancer (PCa) and to die from this disease. The study of PCa in the South African population represents an opportunity for biomedical research due to the high prevalence of aggressive PCa. While inflammation is known to play a significant role in PCa progression, its association with tumor stage in populations of African descent has not been explored in detail. Identification of new metabolic biomarkers of inflammation may improve diagnosis of patients with aggressive PCa. Methods Plasma samples were profiled from 41 South African men with PCa using nuclear magnetic resonance (NMR) spectroscopy. A total of 41 features, including metabolites, lipid classes, total protein, and the inflammatory NMR markers, GlycA, and GlycB, were quantified from each NMR spectrum. The Bruker’s B.I.-LISA protocols were used to characterize 114 parameters related to the lipoproteins. The unsupervised KODAMA method was used to stratify the patients of our cohort based on their metabolic profile. Results We found that the plasma of patients with very high risk, aggressive PCa and high level of C-reactive protein have a peculiar metabolic phenotype (metabotype) characterized by extremely high levels of GlycA and GlycB. The inflammatory processes linked to the higher level of GlycA and GlycB are characterized by a deep change of the plasma metabolome that may be used to improve the stratification of patients with PCa. We also identified a not previously known relationship between high values of VLDL and low level of GlycB in a different metabotype of patients characterized by lower-risk PCa. Conclusions For the first time, a portrait of the metabolic changes in African men with PCa has been delineated indicating a strong association between inflammation and metabolic profiles. Our findings indicate how the metabolic profile could be used to identify those patients with high level of inflammation, characterized by aggressive PCa and short life expectancy. Integrating a metabolomic analysis as a tool for patient stratification could be important for opening the door to the development of new therapies. Further investigations are needed to understand the prevalence of an inflammatory metabotype in patients with aggressive PCa. Supplementary Information The online version contains supplementary material available at 10.1186/s40170-021-00265-6.
Collapse
Affiliation(s)
- Stefano Cacciatore
- Cancer Genomics Group, International Centre for Genetic Engineering and Biotechnology, Cape Town, South Africa.,Institute for Reproductive and Developmental Biology, Imperial College, London, UK
| | - Martha Wium
- Cancer Genomics Group, International Centre for Genetic Engineering and Biotechnology, Cape Town, South Africa
| | - Cristina Licari
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy
| | - Aderonke Ajayi-Smith
- Cancer Genomics Group, International Centre for Genetic Engineering and Biotechnology, Cape Town, South Africa
| | - Lorenzo Masieri
- Department of Urology, Clinica Urologica I, Azienda Ospedaliera Careggi, University of Florence, Florence, Italy.,Pediatric Urology Unit, Meyer Children Hospital, University of Florence, Florence, Italy
| | - Chanelle Anderson
- Cancer Genomics Group, International Centre for Genetic Engineering and Biotechnology, Cape Town, South Africa
| | | | - Lisa Kaestner
- Division of Urology, University of Cape Town, Groote Schuur Hospital, Cape Town, South Africa
| | - Marco Carini
- Department of Urology, Clinica Urologica I, Azienda Ospedaliera Careggi, University of Florence, Florence, Italy
| | - Giuseppina M Carbone
- Institute of Oncology Research (IOR), Università della Svizzera italiana, Bellinzona, Switzerland
| | - Carlo V Catapano
- Institute of Oncology Research (IOR), Università della Svizzera italiana, Bellinzona, Switzerland.,Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland.,Department of Oncology, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Massimo Loda
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.,Harvard Medical School, MA, Boston, USA
| | - Towia A Libermann
- Harvard Medical School, MA, Boston, USA.,BIDMC Genomics, Proteomics, Bioinformatics and Systems Biology Center, Beth Israel Deaconess Medical Center, MA, Boston, USA
| | - Luiz F Zerbini
- Cancer Genomics Group, International Centre for Genetic Engineering and Biotechnology, Cape Town, South Africa.
| |
Collapse
|
37
|
Malo AI, Girona J, Ibarretxe D, Rodríguez-Borjabad C, Amigó N, Plana N, Masana L. Serum glycoproteins A and B assessed by 1H-NMR in familial hypercholesterolemia. Atherosclerosis 2021; 330:1-7. [PMID: 34218212 DOI: 10.1016/j.atherosclerosis.2021.06.905] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 06/18/2021] [Accepted: 06/23/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND AIMS Inflammation is a pathophysiological mechanism of atherosclerosis, and several mediators have been proposed as biomarkers. Acute-phase serum glycoproteins are upregulated in the liver during systemic inflammation. Because of their unique biochemical characteristics, they can be measured by 1H-NMR, and their role as subclinical inflammation markers is under clinical evaluation. We aimed to assess the clinical value of plasma glycoproteins in familial hypercholesterolemia (FH) patients. METHODS We recruited 295 FH patients (75.6% with FH-associated genetic variants). At baseline, a full glycoprotein profile, glycoprotein A and B (GlycA and B) concentrations and their height and width ratios (H/W) were analysed by 1H-NMR. A carotid artery ultrasound study was performed at baseline and prospectively at the 5-year follow-up in 144 FH patients. RESULTS At baseline, the GlycA and GlycB concentrations and their H/W ratios were correlated with lipid profile and adiposity parameters, with the correlation between the GlycA and triglyceride concentrations (r = 0.780; p < 0001) being the strongest. Glycoprotein concentrations were also correlated with inflammation markers, mainly hsCRP. Higher glycoprotein concentrations were observed in patients with higher intima media thickness, arterial rigidity and presence of arteriosclerotic plaques. In the multivariate and random forest analyses, the baseline GlycB concentration showed a significant contribution to the detection of FH individuals prone to develop carotid plaques. CONCLUSIONS The concentrations of serum glycoproteins as assessed by 1H-NMR are robust markers of subclinical inflammation. In FH patients, they are increased in the presence of subclinical vascular damage and could be considered atherosclerosis risk markers in the long term.
Collapse
Affiliation(s)
- Ana-Irene Malo
- Vascular Medicine and Metabolism Unit, Research Unit on Lipids and Atherosclerosis, Hospital Universitari Sant Joan de Reus, Universitat Rovira i Virgili, IISPV, CIBERDEM, 43201, Reus, Spain
| | - Josefa Girona
- Vascular Medicine and Metabolism Unit, Research Unit on Lipids and Atherosclerosis, Hospital Universitari Sant Joan de Reus, Universitat Rovira i Virgili, IISPV, CIBERDEM, 43201, Reus, Spain
| | - Daiana Ibarretxe
- Vascular Medicine and Metabolism Unit, Research Unit on Lipids and Atherosclerosis, Hospital Universitari Sant Joan de Reus, Universitat Rovira i Virgili, IISPV, CIBERDEM, 43201, Reus, Spain
| | - Cèlia Rodríguez-Borjabad
- Vascular Medicine and Metabolism Unit, Research Unit on Lipids and Atherosclerosis, Hospital Universitari Sant Joan de Reus, Universitat Rovira i Virgili, IISPV, CIBERDEM, 43201, Reus, Spain
| | - Núria Amigó
- Biosfer Teslab SL, Department of Basic Medical Sciences, Universitat Rovira i Virgili, CIBERDEM, 43201, Reus, Spain
| | - Núria Plana
- Vascular Medicine and Metabolism Unit, Research Unit on Lipids and Atherosclerosis, Hospital Universitari Sant Joan de Reus, Universitat Rovira i Virgili, IISPV, CIBERDEM, 43201, Reus, Spain
| | - Lluís Masana
- Vascular Medicine and Metabolism Unit, Research Unit on Lipids and Atherosclerosis, Hospital Universitari Sant Joan de Reus, Universitat Rovira i Virgili, IISPV, CIBERDEM, 43201, Reus, Spain.
| |
Collapse
|
38
|
Does an inflammatory diet affect mental well-being in late childhood and mid-life? A cross-sectional study. Br J Nutr 2021; 127:939-947. [PMID: 33998415 DOI: 10.1017/s0007114521001616] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Inflammatory diets are increasingly recognised as a modifiable determinant of mental illness. However, there is a dearth of studies in early life and across the full mental well-being spectrum (mental illness to positive well-being) at the population level. This is a critical gap given that inflammatory diet patterns and mental well-being trajectories typically establish by adolescence. We examined the associations of inflammatory diet scores with mental well-being in 11-12-year-olds and mid-life adults. Throughout Australia, 1759 11-12-year-olds (49 % girls) and 1812 parents (88 % mothers) contributed cross-sectional population-based data. Alternate inflammatory diet scores were calculated from a twenty-six-item FFQ, based on the prior literature and prediction of inflammatory markers. Participants reported negatively and positively framed mental well-being via psychosocial health, quality of life and life satisfaction surveys. We used causal inference modelling techniques via generalised linear regression models (mean differences and risk ratios (RR)) to examine how inflammatory diets might influence mental well-being. In children and adults, respectively, a 1 sd higher literature-derived inflammatory diet score conferred between a 44 % (RR 95 % CI 1·2, 1·8) to 57 % (RR 95 % CI 1·3, 2·0) and 54 % (95 % CI 1·2, 2·0) to 86 % (RR 95 % CI 1·4, 2·4) higher risk of being in the worst mental well-being category (i.e. <16th percentile) across outcome measures. Results for inflammation-derived scores were similar. BMI mediated effects (21-39 %) in adults. Inflammatory diet patterns were cross-sectionally associated with mental well-being at age 11-12 years, with similar effects observed in mid-adulthood. Reducing inflammatory dietary components in childhood could improve population-level mental well-being across the life course.
Collapse
|
39
|
Xu MM, Zhou MT, Li SW, Zhen XC, Yang S. Glycoproteins as diagnostic and prognostic biomarkers for neurodegenerative diseases: A glycoproteomic approach. J Neurosci Res 2021; 99:1308-1324. [PMID: 33634546 DOI: 10.1002/jnr.24805] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Revised: 12/21/2020] [Accepted: 01/15/2021] [Indexed: 12/12/2022]
Abstract
Neurodegenerative diseases (NDs) are incurable and can develop progressively debilitating disorders, including dementia and ataxias. Alzheimer's disease and Parkinson's disease are the most common NDs that mainly affect the elderly people. There is an urgent need to develop new diagnostic tools so that patients can be accurately stratified at an early stage. As a common post-translational modification, protein glycosylation plays a key role in physiological and pathological processes. The abnormal changes in glycosylation are associated with the altered biological pathways in NDs. The pathogenesis-related proteins, like amyloid-β and microtubule-associated protein tau, have altered glycosylation. Importantly, specific glycosylation changes in cerebrospinal fluid, blood and urine are valuable for revealing neurodegeneration in the early stages. This review describes the emerging biomarkers based on glycoproteomics in NDs, highlighting the potential applications of glycoprotein biomarkers in the early detection of diseases, monitoring of the disease progression, and measurement of the therapeutic responses. The mass spectrometry-based strategies for characterizing glycoprotein biomarkers are also introduced.
Collapse
Affiliation(s)
- Ming-Ming Xu
- Center for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University, Suzhou, China
| | | | - Shu-Wei Li
- Nanjing Apollomics Biotech, Inc., Nanjing, China
| | - Xue-Chu Zhen
- Jiangsu Key Laboratory of Neuropsychiatric Diseases, College of Pharmaceutical Sciences, Soochow University, Suzhou, China
| | - Shuang Yang
- Center for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University, Suzhou, China
| |
Collapse
|
40
|
Lodge S, Nitschke P, Kimhofer T, Coudert JD, Begum S, Bong SH, Richards T, Edgar D, Raby E, Spraul M, Schaefer H, Lindon JC, Loo RL, Holmes E, Nicholson JK. NMR Spectroscopic Windows on the Systemic Effects of SARS-CoV-2 Infection on Plasma Lipoproteins and Metabolites in Relation to Circulating Cytokines. J Proteome Res 2021; 20:1382-1396. [PMID: 33426894 PMCID: PMC7805607 DOI: 10.1021/acs.jproteome.0c00876] [Citation(s) in RCA: 55] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Indexed: 02/08/2023]
Abstract
To investigate the systemic metabolic effects of SARS-CoV-2 infection, we analyzed 1H NMR spectroscopic data on human blood plasma and co-modeled with multiple plasma cytokines and chemokines (measured in parallel). Thus, 600 MHz 1H solvent-suppressed single-pulse, spin-echo, and 2D J-resolved spectra were collected on plasma recorded from SARS-CoV-2 rRT-PCR-positive patients (n = 15, with multiple sampling timepoints) and age-matched healthy controls (n = 34, confirmed rRT-PCR negative), together with patients with COVID-19/influenza-like clinical symptoms who tested SARS-CoV-2 negative (n = 35). We compared the single-pulse NMR spectral data with in vitro diagnostic research (IVDr) information on quantitative lipoprotein profiles (112 parameters) extracted from the raw 1D NMR data. All NMR methods gave highly significant discrimination of SARS-CoV-2 positive patients from controls and SARS-CoV-2 negative patients with individual NMR methods, giving different diagnostic information windows on disease-induced phenoconversion. Longitudinal trajectory analysis in selected patients indicated that metabolic recovery was incomplete in individuals without detectable virus in the recovery phase. We observed four plasma cytokine clusters that expressed complex differential statistical relationships with multiple lipoproteins and metabolites. These included the following: cluster 1, comprising MIP-1β, SDF-1α, IL-22, and IL-1α, which correlated with multiple increased LDL and VLDL subfractions; cluster 2, including IL-10 and IL-17A, which was only weakly linked to the lipoprotein profile; cluster 3, which included IL-8 and MCP-1 and were inversely correlated with multiple lipoproteins. IL-18, IL-6, and IFN-γ together with IP-10 and RANTES exhibited strong positive correlations with LDL1-4 subfractions and negative correlations with multiple HDL subfractions. Collectively, these data show a distinct pattern indicative of a multilevel cellular immune response to SARS CoV-2 infection interacting with the plasma lipoproteome giving a strong and characteristic immunometabolic phenotype of the disease. We observed that some patients in the respiratory recovery phase and testing virus-free were still metabolically highly abnormal, which indicates a new role for these technologies in assessing full systemic recovery.
Collapse
Affiliation(s)
- Samantha Lodge
- Australian National Phenome Centre, Health Futures
Institute, Murdoch University, Harry Perkins Building, Perth,
Western Australia 6150, Australia
- Centre for Computational and Systems Medicine, Health
Futures Institute, Murdoch University, Murdoch, Western
Australia 6150, Australia
| | - Philipp Nitschke
- Australian National Phenome Centre, Health Futures
Institute, Murdoch University, Harry Perkins Building, Perth,
Western Australia 6150, Australia
| | - Torben Kimhofer
- Australian National Phenome Centre, Health Futures
Institute, Murdoch University, Harry Perkins Building, Perth,
Western Australia 6150, Australia
- Centre for Computational and Systems Medicine, Health
Futures Institute, Murdoch University, Murdoch, Western
Australia 6150, Australia
| | - Jerome D. Coudert
- Centre for Molecular Medicine and Innovative
Therapeutics, Murdoch University, Harry Perkins Building,
Perth, Western Australia 6150, Australia
- Perron Institute for Neurological and
Translational Science, Nedlands, Western Australia 6009,
Australia
- School of Medicine, University of Notre
Dame, Fremantle, Western Australia 6160,
Australia
| | - Sofina Begum
- Australian National Phenome Centre, Health Futures
Institute, Murdoch University, Harry Perkins Building, Perth,
Western Australia 6150, Australia
- Section of Nutrition Research , Department of Metabolism,
Nutrition and Reproduction, Faculty of Medicine, Sir Alexander Fleming Building,
Imperial College London, London SW7 2AZ,
U.K.
| | - Sze-How Bong
- Australian National Phenome Centre, Health Futures
Institute, Murdoch University, Harry Perkins Building, Perth,
Western Australia 6150, Australia
| | - Toby Richards
- Division of Surgery, Medical School, Faculty of Health
and Medical Sciences, University of Western Australia, Harry
Perkins Building, Robert Warren Drive, Murdoch, Perth, Western Australia 6150,
Australia
| | - Dale Edgar
- Faculty of Health and Medical Sciences,
University of Western Australia, Harry Perkins Building,
Robert Warren Drive, Murdoch, Perth, Western Australia 6150,
Australia
| | - Edward Raby
- Department of Clinical Microbiology,
PathWest Laboratory Medicine WA, Murdoch, Perth, Western
Australia 6150, Australia
| | | | | | - John C. Lindon
- Division of Systems Medicine, Department of
Metabolism, Nutrition and Reproduction, Faculty of Medicine, Sir Alexander Fleming
Building, Imperial College London, London SW7 2AZ,
U.K.
| | - Ruey Leng Loo
- Australian National Phenome Centre, Health Futures
Institute, Murdoch University, Harry Perkins Building, Perth,
Western Australia 6150, Australia
- Centre for Computational and Systems Medicine, Health
Futures Institute, Murdoch University, Murdoch, Western
Australia 6150, Australia
| | - Elaine Holmes
- Australian National Phenome Centre, Health Futures
Institute, Murdoch University, Harry Perkins Building, Perth,
Western Australia 6150, Australia
- Centre for Computational and Systems Medicine, Health
Futures Institute, Murdoch University, Murdoch, Western
Australia 6150, Australia
- Section of Nutrition Research , Department of Metabolism,
Nutrition and Reproduction, Faculty of Medicine, Sir Alexander Fleming Building,
Imperial College London, London SW7 2AZ,
U.K.
| | - Jeremy K. Nicholson
- Australian National Phenome Centre, Health Futures
Institute, Murdoch University, Harry Perkins Building, Perth,
Western Australia 6150, Australia
- Centre for Computational and Systems Medicine, Health
Futures Institute, Murdoch University, Murdoch, Western
Australia 6150, Australia
- Division of Surgery, Medical School, Faculty of Health
and Medical Sciences, University of Western Australia, Harry
Perkins Building, Robert Warren Drive, Murdoch, Perth, Western Australia 6150,
Australia
- Institute of Global Health Innovation,
Imperial College London, Level 1, Faculty Building South
Kensington Campus, London SW7 2NA, U.K.
| |
Collapse
|
41
|
GlycA Levels during the Earliest Stages of Rheumatoid Arthritis: Potential Use as a Biomarker of Subclinical Cardiovascular Disease. J Clin Med 2020; 9:jcm9082472. [PMID: 32752190 PMCID: PMC7463667 DOI: 10.3390/jcm9082472] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 07/22/2020] [Accepted: 07/29/2020] [Indexed: 02/06/2023] Open
Abstract
This study aimed at evaluating the clinical relevance of glycoprotein profiles during the earliest phases of rheumatoid arthritis (RA) as biomarkers of cardiovascular (CV) risk and treatment response. Then, GlycA and GlycB serum levels were measured using 1H-nuclear magnetic resonance in 82 early RA patients, 14 clinically-suspect arthralgia (CSA), and 28 controls. Serum glycosyltransferase activity was assessed by a colorimetric assay. Subclinical CV disease was assessed by Doppler-ultrasound. We found that GlycA and GlycB serum levels were increased in RA (both p < 0.001), but not in CSA, independently of cardiometabolic risk factors. Increased serum glycosyltransferase activity paralleled GlycA (r = 0.405, p < 0.001) and GlycB levels (r = 0.327, p = 0.005) in RA. GlycA, but not GlycB, was associated with atherosclerosis occurrence (p = 0.012) and severity (p = 0.001). Adding GlycA to the mSCORE improved the identification of patients with atherosclerosis over mSCORE alone, increasing sensitivity (29.7 vs. 68.0%) and accuracy (55.8 vs. 76.6%) and allowing reclassification into more appropriate risk categories. GlycA-reclassification identified patients with impaired lipoprotein metabolism. Finally, baseline GlycA levels predicted poor clinical response upon anti-rheumatic treatment at 6 and 12 months in univariate and multivariate analysis. In sum, increased GlycA levels during the earliest stage of RA can be considered a powerful biomarker for CV risk stratification and treatment response.
Collapse
|