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Millar SR, Harrington JM, Perry IJ, Phillips CM. Ultra-processed food and drink consumption and lipoprotein subclass profiles: A cross-sectional study of a middle-to older-aged population. Clin Nutr 2024; 43:1972-1980. [PMID: 39033562 DOI: 10.1016/j.clnu.2024.07.007] [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: 04/13/2024] [Revised: 06/30/2024] [Accepted: 07/09/2024] [Indexed: 07/23/2024]
Abstract
BACKGROUND AND AIMS Studies have consistently demonstrated associations between ultra-processed food and drink (UPFD) consumption and non-communicable diseases. However, there is a lack of data investigating relationships between UPFD intake and intermediate cardiometabolic disease markers. In this study we explored UPFD associations with lipoprotein subclasses. METHODS This was a cross-sectional study of 1986 middle-to older-aged men and women randomly selected from a large primary care centre. The percentage contribution of UPFDs to total energy intake was calculated for each participant using the NOVA classification. Lipoprotein particle subclass concentrations and size were determined using nuclear magnetic resonance spectroscopy. Correlation and multivariate-adjusted linear regression analyses were performed to examine UPFD intake relationships with lipoprotein subclasses. RESULTS In fully adjusted regression models, higher UPFD consumption was associated with reduced high-density lipoprotein (HDL) cholesterol concentrations (β = -0.024, p = 0.001), large low-density lipoprotein (LDL) levels (β = -18.645, p = 0.002), total and medium HDL concentrations (β = -0.328, p = 0.012; β = -0.510, p < 0.001), smaller LDL and HDL size (β = -0.026, p = 0.023; β = -0.023, p = 0.024), and increased medium very low-density lipoprotein levels (β = 0.053, p = 0.022), small LDL and HDL concentrations (β = 20.358, p = 0.02; β = 0.336, p = 0.011), and higher lipoprotein insulin resistance scores (β = 0.048, p = 0.012), reflecting greater lipoprotein-related insulin resistance. CONCLUSIONS Findings from this research suggest that increased intake of UPFDs is associated with a more pro-atherogenic, insulin-resistant metabolic profile in middle-to older-aged adults which may be a potential mechanism underlying reported associations between UPFD consumption and chronic disease risk and mortality.
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Affiliation(s)
- Seán R Millar
- Centre for Health and Diet Research, School of Public Health, University College Cork, Cork, Ireland.
| | - Janas M Harrington
- Centre for Health and Diet Research, School of Public Health, University College Cork, Cork, Ireland
| | - Ivan J Perry
- Centre for Health and Diet Research, School of Public Health, University College Cork, Cork, Ireland
| | - Catherine M Phillips
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin 4, Ireland
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Millar SR, Navarro P, Harrington JM, Perry IJ, Phillips CM. The Nutri-Score nutrition label: Associations between the underlying nutritional profile of foods and lipoprotein particle subclass profiles in adults. Atherosclerosis 2024; 395:117559. [PMID: 38692976 DOI: 10.1016/j.atherosclerosis.2024.117559] [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: 01/02/2024] [Revised: 04/13/2024] [Accepted: 04/17/2024] [Indexed: 05/03/2024]
Abstract
BACKGROUND AND AIMS Lipoprotein particle concentrations and size are associated with increased risk for atherosclerosis and premature cardiovascular disease. Certain dietary behaviours may be cardioprotective and public health strategies are needed to guide consumers' dietary choices and help prevent diet-related disease. The Food Standards Agency nutrient profiling system (FSAm-NPS) constitutes the basis of the five-colour front-of-pack Nutri-Score labelling system. No study has examined FSAm-NPS index associations with a wide range of lipoprotein particle subclasses. METHODS This was a cross-sectional study of 2006 middle-to older-aged men and women randomly selected from a large primary care centre. Individual participant FSAm-NPS dietary scores were derived from validated food frequency questionnaires. Lipoprotein particle subclass concentrations and size were determined using nuclear magnetic resonance spectroscopy. Multivariate-adjusted linear regression analyses were performed to examine FSAm-NPS relationships with lipoprotein particle subclasses. RESULTS In fully adjusted models which accounted for multiple testing, higher FSAm-NPS scores, indicating poorer dietary quality, were positively associated with intermediate-density lipoprotein (β = 0.096, p = 0.005) and small high-density lipoprotein (HDL) (β = 0.492, p = 0.006) concentrations, a lipoprotein insulin resistance score (β = 0.063, p = 0.02), reflecting greater lipoprotein-related insulin resistance, and inversely associated with HDL size (β = -0.030, p = 0.045). CONCLUSIONS A higher FSAm-NPS score is associated with a less favourable lipoprotein particle subclass profile in middle-to older-aged adults which may be a potential mechanism underlying reported health benefits of a healthy diet according to Nutri-Score rating.
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Affiliation(s)
- Seán R Millar
- Centre for Health and Diet Research, School of Public Health, University College Cork, Cork, Ireland.
| | - Pilar Navarro
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, 4, Ireland
| | - Janas M Harrington
- Centre for Health and Diet Research, School of Public Health, University College Cork, Cork, Ireland
| | - Ivan J Perry
- Centre for Health and Diet Research, School of Public Health, University College Cork, Cork, Ireland
| | - Catherine M Phillips
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, 4, Ireland
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Westerman KE, Kilpeläinen TO, Sevilla-Gonzalez M, Connelly MA, Wood AC, Tsai MY, Taylor KD, Rich SS, Rotter JI, Otvos JD, Bentley AR, Mora S, Aschard H, Rao DC, Gu C, Chasman DI, Manning AK. Refinement of a published gene-physical activity interaction impacting HDL-cholesterol: role of sex and lipoprotein subfractions. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.01.23.24301689. [PMID: 38313294 PMCID: PMC10836120 DOI: 10.1101/2024.01.23.24301689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2024]
Abstract
Large-scale gene-environment interaction (GxE) discovery efforts often involve compromises in the definition of outcomes and choice of covariates for the sake of data harmonization and statistical power. Consequently, refinement of exposures, covariates, outcomes, and population subsets may be helpful to establish often-elusive replication and evaluate potential clinical utility. Here, we used additional datasets, an expanded set of statistical models, and interrogation of lipoprotein metabolism via nuclear magnetic resonance (NMR)-based lipoprotein subfractions to refine a previously discovered GxE modifying the relationship between physical activity (PA) and HDL-cholesterol (HDL-C). This GxE was originally identified by Kilpeläinen et al., with the strongest cohort-specific signal coming from the Women's Genome Health Study (WGHS). We thus explored this GxE further in the WGHS (N = 23,294), with follow-up in the UK Biobank (UKB; N = 281,380), and the Multi-Ethnic Study of Atherosclerosis (MESA; N = 4,587). Self-reported PA (MET-hrs/wk), genotypes at rs295849 (nearest gene: LHX1), and NMR metabolomics data were available in all three cohorts. As originally reported, minor allele carriers of rs295849 in WGHS had a stronger positive association between PA and HDL-C (pint = 0.002). When testing a range of NMR metabolites (primarily lipoprotein and lipid subfractions) to refine the HDL-C outcome, we found a stronger interaction effect on medium-sized HDL particle concentrations (M-HDL-P; pint = 1.0×10-4) than HDL-C. Meta-regression revealed a systematically larger interaction effect in cohorts from the original meta-analysis with a greater fraction of women (p = 0.018). In the UKB, GxE effects were stronger both in women and using M-HDL-P as the outcome. In MESA, the primary interaction for HDL-C showed nominal significance (pint = 0.013), but without clear differences by sex and with a greater magnitude using large, rather than medium, HDL-P as an outcome. Towards reconciling these observations, further exploration leveraging NMR platform-specific HDL subfraction diameter annotations revealed modest agreement across all cohorts in the interaction affecting medium-to-large particles. Taken together, our work provides additional insights into a specific known gene-PA interaction while illustrating the importance of phenotype and model refinement towards understanding and replicating GxEs.
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Affiliation(s)
- Kenneth E. Westerman
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Tuomas O. Kilpeläinen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, DK
- Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Magdalena Sevilla-Gonzalez
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Alexis C. Wood
- USDA/ARS Children’s Nutrition Center, Baylor College of Medicine, Houston, TX, USA
| | - Michael Y. Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Kent D. Taylor
- The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - James D. Otvos
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Amy R. Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Samia Mora
- Center for Lipid Metabolomics, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Cardiovascular Division, Brigham and Women’s Hospital, Boston, MA, USA
| | - Hugues Aschard
- Department of Computational Biology, Institut Pasteur, Université de Paris, Paris, FR
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - DC Rao
- Division of Biostatistics, Washington University, St. Louis, MO, USA
| | - Charles Gu
- Division of Biostatistics, Washington University, St. Louis, MO, USA
| | - Daniel I. Chasman
- Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Alisa K. Manning
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
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Chen C, Chang CC, Lee IT, Huang CY, Lin FY, Lin SJ, Chen JW, Chang TT. High-density lipoprotein protects vascular endothelial cells from indoxyl sulfate insults through its antioxidant ability. Cell Cycle 2023; 22:2409-2423. [PMID: 38129288 PMCID: PMC10802207 DOI: 10.1080/15384101.2023.2296184] [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: 05/17/2023] [Revised: 11/24/2023] [Accepted: 12/10/2023] [Indexed: 12/23/2023] Open
Abstract
Chronic kidney disease (CKD) patients have a high risk of cardiovascular disease. Indoxyl sulfate (IS) is a uremic toxin that has been shown to inhibit nitric oxide production and cause cell senescence by inducing oxidative stress. High-density lipoprotein (HDL) has a protective effect on the cardiovascular system; however, its impacts on IS-damaged endothelial cells are still unknown. This study aimed to explore the effects of exogenous supplement of HDL on vascular endothelial cells in a uremia-mimic environment. Tube formation, migration, adhesion, and senescence assays were used to evaluate the cell function of human aortic endothelial cells (HAECs). Reactive oxygen species generation was measured by using Amplex red assay. L-NAME and MCI186 were used as a nitric oxide synthase inhibitor and a free radical scavenger, respectively. HDL exerted anti-inflammatory and antioxidant effects via HIF-1α/HO-1 activation and IL-1β/TNF-α/IL-6 inhibition in IS-stimulated HAECs. HDL improved angiogenesis ability through upregulating Akt/eNOS/VEGF/SDF-1 in IS-stimulated HAECs. HDL decreased endothelial adhesiveness via downregulating VCAM-1 and ICAM-1 in IS-stimulated HAECs. Furthermore, HDL reduced cellular senescence via upregulating SIRT1 and downregulating p53 in IS-stimulated HAECs. Importantly, the above beneficial effects of HDL were mainly due to its antioxidant ability. In conclusion, HDL exerted a comprehensive protective effect on vascular endothelial cells against damage from IS through its antioxidant ability. The results of this study might provide a theoretical basis for potential HDL supplementation in CKD patients with endothelial damage.
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Affiliation(s)
- Ching Chen
- Department and Institute of Pharmacology, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Chia-Chi Chang
- Departments of Internal Medicine, College of Medicine, School of Medicine, Taipei Medical University, Taipei, Taiwan
| | - I-Ta Lee
- School of Dentistry, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan
| | - Chun-Yao Huang
- Departments of Internal Medicine, College of Medicine, School of Medicine, Taipei Medical University, Taipei, Taiwan
- Taipei Heart Institute, Taipei Medical University, Taipei, Taiwan
- Division of Cardiology and Cardiovascular Research Center, Taipei Medical University Hospital, Taipei, Taiwan
| | - Feng-Yen Lin
- Departments of Internal Medicine, College of Medicine, School of Medicine, Taipei Medical University, Taipei, Taiwan
- Division of Cardiology and Cardiovascular Research Center, Taipei Medical University Hospital, Taipei, Taiwan
| | - Shing-Jong Lin
- Departments of Internal Medicine, College of Medicine, School of Medicine, Taipei Medical University, Taipei, Taiwan
- Taipei Heart Institute, Taipei Medical University, Taipei, Taiwan
- Division of Cardiology and Cardiovascular Research Center, Taipei Medical University Hospital, Taipei, Taiwan
| | - Jaw-Wen Chen
- Department and Institute of Pharmacology, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Departments of Internal Medicine, College of Medicine, School of Medicine, Taipei Medical University, Taipei, Taiwan
- Division of Cardiology and Cardiovascular Research Center, Taipei Medical University Hospital, Taipei, Taiwan
- Department of Research, Taipei Medical University Hospital, Taipei, Taiwan
- Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
- Cardiovascular Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Ting-Ting Chang
- Department and Institute of Pharmacology, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Division of Cardiology and Cardiovascular Research Center, Taipei Medical University Hospital, Taipei, Taiwan
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