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Masuda R, Wist J, Lodge S, Kimhofer T, Hunter M, Hui J, Beilby JP, Burnett JR, Dwivedi G, Schlaich MP, Bong SH, Loo RL, Holmes E, Nicholson JK, Yeap BB. Plasma lipoprotein subclass variation in middle-aged and older adults: Sex-stratified distributions and associations with health status and cardiometabolic risk factors. J Clin Lipidol 2023; 17:677-687. [PMID: 37442713 DOI: 10.1016/j.jacl.2023.06.004] [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: 09/08/2022] [Revised: 06/19/2023] [Accepted: 06/26/2023] [Indexed: 07/15/2023]
Abstract
BACKGROUND Circulating lipids and lipoproteins mediate cardiovascular risk, however routine plasma lipid biochemistry provides limited information on pro-atherogenic remnant particles. OBJECTIVE We analysed plasma lipoprotein subclasses including very low-density and intermediate-density lipoprotein (VLDL and IDL); and assessed their associations with health and cardiometabolic risk. METHODS From 1,976 community-dwelling adults aged 45-67 years, 114/1071 women (10.6%) and 153/905 men (16.9%) were categorised as very healthy. Fasting plasma lipoprotein profiles comprising 112 parameters were measured using 1H nuclear magnetic resonance (NMR) spectroscopy, and associations with health status and cardiometabolic risk factors examined. RESULTS HDL cholesterol was higher, and IDL and VLDL cholesterol and triglycerides lower, in very healthy women compared to other women, and women compared to men. IDL and VLDL cholesterol and triglyceride were lower in very healthy men compared to other men. HDL cholesterol and apolipoprotein (apo) A-I were inversely, and IDL and VLDL cholesterol, apoB-100, and apoB-100/apoA-I ratio directly associated with body mass index (BMI) in women and men. In women, LDL, IDL and VLDL cholesterol increased with age. Women with diabetes and cardiovascular disease had higher cholesterol, triglycerides, phospholipids and free cholesterol across IDL and VLDL fractions, with similar trends for men with diabetes. CONCLUSION Lipoprotein subclasses and density fractions, and their lipid and apolipoprotein constituents, are differentially distributed by sex, health status and BMI. Very healthy women and men are distinguished by favorable lipoprotein profiles, particularly lower concentrations of VLDL and IDL, providing reference intervals for comparison with general populations and adults with cardiometabolic risk factors.
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Affiliation(s)
- Reika Masuda
- Australian National Phenome Centre, Health Futures Institute, Murdoch University, Perth, WA, 6150, Australia
| | - Julien Wist
- Australian National Phenome Centre, Health Futures Institute, Murdoch University, Perth, WA, 6150, Australia; Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, 6150, Australia; Chemistry Department, Universidad del Valle, 76001, Cali, Colombia
| | - Samantha Lodge
- Australian National Phenome Centre, Health Futures Institute, Murdoch University, Perth, WA, 6150, Australia; Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, 6150, Australia
| | - Torben Kimhofer
- Australian National Phenome Centre, Health Futures Institute, Murdoch University, Perth, WA, 6150, Australia; Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, 6150, Australia
| | - Michael Hunter
- School of Population and Global Health, University of Western Australia, Perth, WA, 6009, Australia
| | - Jennie Hui
- PathWest Laboratory Medicine, Queen Elizabeth II Medical Centre, Perth, WA, 6009, Australia
| | - John P Beilby
- School of Biomedical Sciences, University of Western Australia, Perth, WA, 6009, Australia
| | - John R Burnett
- Department of Clinical Biochemistry, PathWest Laboratory Medicine, Royal Perth Hospital & Fiona Stanley Hospital Network, Perth, WA, 6000, Australia; Medical School, University of Western Australia, Perth, WA, 6009, Australia
| | - Girish Dwivedi
- Medical School, University of Western Australia, Perth, WA, 6009, Australia; Harry Perkins Institute of Medical Research, Perth, WA, 6150, Australia; Department of Cardiology, Fiona Stanley Hospital, Perth, WA, 6150, Australia
| | - Markus P Schlaich
- Medical School, University of Western Australia, Perth, WA, 6009, Australia; Dobney Hypertension Centre, Royal Perth Hospital Medical Research Foundation, University of Western Australia, Perth, WA, 6000, Australia; Departments of Cardiology and Nephrology, Royal Perth Hospital, Perth, WA, 6000, Australia
| | - Sze-How Bong
- Australian National Phenome Centre, Health Futures Institute, Murdoch University, Perth, WA, 6150, Australia; Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, 6150, Australia
| | - Ruey Leng Loo
- Australian National Phenome Centre, Health Futures Institute, Murdoch University, Perth, WA, 6150, Australia; Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, 6150, Australia
| | - Elaine Holmes
- Australian National Phenome Centre, Health Futures Institute, Murdoch University, Perth, WA, 6150, Australia; Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, 6150, Australia; Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London SW7 2AZ, United Kingdom
| | - Jeremy K Nicholson
- Australian National Phenome Centre, Health Futures Institute, Murdoch University, Perth, WA, 6150, Australia; Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, 6150, Australia; Medical School, University of Western Australia, Perth, WA, 6009, Australia; Institute of Global Health Innovation, Imperial College London, London SW7 2AZ, United Kingdom.
| | - Bu B Yeap
- Medical School, University of Western Australia, Perth, WA, 6009, Australia; Department of Endocrinology and Diabetes, Fiona Stanley Hospital, Perth WA, 6150, Australia.
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Gallart-Palau X, Muntané G, Martorell L, Amigó N, Correig X, Ribalta J, Sánchez-Gistau V, Labad J, Vilella E. Gradual Increase in Inflammation-Linked Glycoproteins and a Proatherogenic Lipoprotein Profile in the Early Stages of Psychosis as Characterized by 1H NMR Blood Analysis. J Proteome Res 2023. [PMID: 37354121 DOI: 10.1021/acs.jproteome.2c00847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/26/2023]
Abstract
Minimally invasive prognostic markers of inflammation and dyslipidemia in individuals with a risk of psychosis, also called "at-risk mental state" (ARMS), or in the first episode of psychosis (FEP) are of utmost clinical importance to prevent cardiovascular disorders. We analyzed the plasma concentration of inflammation-linked glycoproteins (Glycs) and lipoprotein subclasses by proton nuclear magnetic resonance (1H NMR) in a single acquisition. Study participants were healthy controls (HCs, N = 67) and patients with ARMS (N = 58), FEP (N = 110), or early psychosis diagnosis with ≥2 episodes (critical period (CP), N = 53). Clinical biomarkers such as high-sensitivity C-reactive protein, interleukin 6, fibrinogen, insulin, and lipoproteins were also measured. Although all participants had normal lipoprotein profiles and no inflammation according to conventional biomarkers, a gradual increase in the Glyc 1H NMR levels was observed from HCs to CP patients; this increase was statistically significant for GlycA (CP vs HC). In parallel, a progressive and significant proatherogenic 1H NMR lipoprotein profile was also identified across stages of psychosis (ARMS and CP vs HC). These findings highlight the potential of using 1H NMR Glyc and lipoprotein profiling to identify blood changes in individuals with ARMS or FEP and pave the way for applications using this technology to monitor metabolic and cardiovascular risks in clinical psychiatry.
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Affiliation(s)
- Xavier Gallart-Palau
- Institut Investigació Sanitària Pere Virgili (IISPV)-CERCA, 43204 Reus, Spain
- Hospital Universitari Institut Pere Mata, 43206 Reus, Spain
- Centro de Investigación Biomédica en Red en Salud Mental CIBERSAM, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Proteored - Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - Gerard Muntané
- Institut Investigació Sanitària Pere Virgili (IISPV)-CERCA, 43204 Reus, Spain
- Hospital Universitari Institut Pere Mata, 43206 Reus, Spain
- Centro de Investigación Biomédica en Red en Salud Mental CIBERSAM, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Universitat Rovira i Virgili, 43201 Reus, Spain
- Institute of Evolutionary Biology (UPF-CSIC), Department of Experimental and Health Sciences, Universitat Pompeu Fabra, 08005 Barcelona, Spain
| | - Lourdes Martorell
- Institut Investigació Sanitària Pere Virgili (IISPV)-CERCA, 43204 Reus, Spain
- Hospital Universitari Institut Pere Mata, 43206 Reus, Spain
- Centro de Investigación Biomédica en Red en Salud Mental CIBERSAM, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Universitat Rovira i Virgili, 43201 Reus, Spain
| | - Núria Amigó
- Institut Investigació Sanitària Pere Virgili (IISPV)-CERCA, 43204 Reus, Spain
- Universitat Rovira i Virgili, 43201 Reus, Spain
- Biosfer Teslab, SL, 43201 Reus, Spain
- Centro de Investigación Biomédica en Red en Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Xavier Correig
- Institut Investigació Sanitària Pere Virgili (IISPV)-CERCA, 43204 Reus, Spain
- Universitat Rovira i Virgili, 43201 Reus, Spain
- Centro de Investigación Biomédica en Red en Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Josep Ribalta
- Institut Investigació Sanitària Pere Virgili (IISPV)-CERCA, 43204 Reus, Spain
- Universitat Rovira i Virgili, 43201 Reus, Spain
- Centro de Investigación Biomédica en Red en Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Vanessa Sánchez-Gistau
- Institut Investigació Sanitària Pere Virgili (IISPV)-CERCA, 43204 Reus, Spain
- Hospital Universitari Institut Pere Mata, 43206 Reus, Spain
- Centro de Investigación Biomédica en Red en Salud Mental CIBERSAM, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Universitat Rovira i Virgili, 43201 Reus, Spain
| | - Javier Labad
- Centro de Investigación Biomédica en Red en Salud Mental CIBERSAM, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Mental Health, Consorci Sanitari del Maresme, 08304 Mataró, Spain
- Institut d'Investigació i Innovació Parc Taulí (I3PT)-CERCA, 08208 Sabadell, Spain
- Centre for Biomedical Research Unit I3PT-INc-UAB, 08193 Bellaterra, Spain
| | - Elisabet Vilella
- Institut Investigació Sanitària Pere Virgili (IISPV)-CERCA, 43204 Reus, Spain
- Hospital Universitari Institut Pere Mata, 43206 Reus, Spain
- Centro de Investigación Biomédica en Red en Salud Mental CIBERSAM, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Universitat Rovira i Virgili, 43201 Reus, Spain
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