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Salsa-Castelo M, Neves C, Neves JS, Carvalho D. Association of glycemic variability and time in range with lipid profile in type 1 diabetes. Endocrine 2024; 83:69-76. [PMID: 38051418 PMCID: PMC10805887 DOI: 10.1007/s12020-023-03464-x] [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: 05/16/2023] [Accepted: 07/19/2023] [Indexed: 12/07/2023]
Abstract
PURPOSE Hyperglycemia is associated with abnormalities of lipoproteins. The aim of this study was to analyze, in patients with Type 1 Diabetes (T1D), the association of glycemic control with lipid profile, focusing on glycemic variability and time in range obtained from Continuous Glucose Monitoring (CGM). METHODS We performed a retrospective cohort in patients with T1D. We analyzed clinical parameters, HbA1c, CGM and lipid profile in two moments 6 to 18 months apart. We evaluated the association of HbA1c and CGM metrics with lipid profile in cross-sectional (n = 242) and longitudinal (n = 90) analyses. RESULTS The mean age of the study population was 36.6 ± 12.6 years, 51.7% were male, and the mean diabetes duration was 16.8 ± 10.3 years. In the cross-sectional analysis, higher HbA1c, higher glucose management indicator (GMI), higher time above range and lower time in range were associated with higher triglyceride levels. In the longitudinal analysis, an increase in time below range was associated with a decrease of HDL cholesterol. In both analyses, an increase in the coefficient of variability (CV) was associated with a significant decrease of HDL cholesterol. HbA1c and CGM were not associated with total cholesterol or LDL cholesterol. CONCLUSIONS We observed a negative association between CV and HDL cholesterol levels and a positive association between hyperglycemia metrics and triglyceride levels. These findings suggest that CGM parameters may be a helpful tool to guide the improvement of both glycemic control and lipid profile in T1D.
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Affiliation(s)
| | - Celestino Neves
- Department of Endocrinology, Diabetes and Metabolism, Centro Hospitalar Universitário de São João, Porto, Portugal
- Departament of Surgery and Physiology, Cardiovascular Investigation Unit, Faculty of Medicine, University of Porto, Porto, Portugal
| | - João Sérgio Neves
- Department of Endocrinology, Diabetes and Metabolism, Centro Hospitalar Universitário de São João, Porto, Portugal
- Instituto de Investigação e Inovação da Saúde, University of Porto, Porto, Portugal
| | - Davide Carvalho
- Department of Endocrinology, Diabetes and Metabolism, Centro Hospitalar Universitário de São João, Porto, Portugal
- Departament of Surgery and Physiology, Cardiovascular Investigation Unit, Faculty of Medicine, University of Porto, Porto, Portugal
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Serés-Noriega T, Ortega E, Perea V, Giménez M, Boswell L, Mariaca K, Font C, Mesa A, Viñals C, Blanco J, Vinagre I, Pané A, Esmatjes E, Conget I, Amor AJ. Nuclear Magnetic Resonance-Based Lipidomics in the Assessment of Cardiometabolic Risk in Type 1 Diabetes: An Exploratory Analysis. Diabetes Ther 2023; 14:553-567. [PMID: 36732434 PMCID: PMC9981843 DOI: 10.1007/s13300-023-01372-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 01/17/2023] [Indexed: 02/04/2023] Open
Abstract
INTRODUCTION Cardiovascular disease (CVD) is the leading cause of mortality in type 1 diabetes (T1D). However, there is a need for daily practice tools for identifying those more prone to suffer from these events. We aimed to assess the relationships between nuclear magnetic resonance (1H NMR)-based lipidomic analysis and several CVD risk variables (including preclinical carotid atherosclerosis) in individuals with T1D at high risk. METHODS We included patients with T1D without CVD, with at least one of the following: age ≥ 40 years, diabetic kidney disease, or ≥ 10 years of evolution with another risk factor. The presence of plaque (intima-media thickness > 1.5 mm) was determined by standardized ultrasonography protocol. Lipidomic analysis was performed by 1H NMR. Bivariate and multivariate-adjusted differences in 1H NMR lipidomics were evaluated. RESULTS We included n = 131 participants (49.6% female, age 46.4 ± 10.3 years, diabetes duration 27.0 ± 9.5 years, 47.3% on statins). Carotid plaques were present in 28.2% of the individuals (n = 12, with ≥ 3 plaques). Glucose (HbA1c), anthropometric (body mass index and waist circumference), and insulin resistance-related (fatty liver index and estimated glucose disposal rate) variables were those most associated with 1H NMR-derived lipidomic analysis (p < 0.01 for all). Regarding preclinical atherosclerosis, sphingomyelin was independently associated with carotid plaque presence (for 0.1 mmol/L increase, OR 0.50 [0.28-0.86]; p = 0.013), even after adjusting for age, sex, hypertension, statin use, mean 5-year HbA1c and diabetes duration. Furthermore, linoleic acid and ω-6 fatty acids remained independently associated with higher plaque burden (≥ 3 plaques) in multivariate models (0.17 [0.03-0.93] and 0.27 [0.07-0.97], respectively; p < 0.05 for both). CONCLUSION In our preliminary study of individuals with T1D at high risk, several 1H NMR-derived lipidomic parameters were independently associated with preclinical atherosclerosis. Specifically, ω-6 fatty acids and linoleic acid seem promising for identifying those with higher plaque burden.
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Affiliation(s)
- Tonet Serés-Noriega
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Villarroel 170, 08036, Barcelona, Spain.
| | - Emilio Ortega
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Villarroel 170, 08036, Barcelona, Spain
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Verónica Perea
- Endocrinology and Nutrition Department, Hospital Universitari Mútua de Terrassa, Terrassa, Spain
| | - Marga Giménez
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Villarroel 170, 08036, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Laura Boswell
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Villarroel 170, 08036, Barcelona, Spain
- Endocrinology and Nutrition Department, Althaia University Health Network, Manresa, Spain
| | - Karla Mariaca
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Villarroel 170, 08036, Barcelona, Spain
| | - Carla Font
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Villarroel 170, 08036, Barcelona, Spain
| | - Alex Mesa
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Villarroel 170, 08036, Barcelona, Spain
| | - Clara Viñals
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Villarroel 170, 08036, Barcelona, Spain
| | - Jesús Blanco
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Villarroel 170, 08036, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Irene Vinagre
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Villarroel 170, 08036, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Adriana Pané
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Villarroel 170, 08036, Barcelona, Spain
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Enric Esmatjes
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Villarroel 170, 08036, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Ignacio Conget
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Villarroel 170, 08036, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Antonio J Amor
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Villarroel 170, 08036, Barcelona, Spain.
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Richardson LA, Izuora K, Basu A. Mediterranean Diet and Its Association with Cardiovascular Disease Risk Factors: A Scoping Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:12762. [PMID: 36232062 PMCID: PMC9566634 DOI: 10.3390/ijerph191912762] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 09/24/2022] [Accepted: 09/29/2022] [Indexed: 05/31/2023]
Abstract
Atherosclerosis is the underlying cause of cardiovascular diseases (CVD) and is interrelated to stroke, heart attack, and heart failure. The Mediterranean Diet (MedDiet) has been closely associated with reduced CVD morbidity and mortality, but research is not well explored for this relationship in individuals with diabetes (who experience greater CVD morbidity and mortality than individuals without diabetes). The aim of this review was to explore the literature related to the MedDiet and atherosclerosis and associated risk factors in individuals with and without diabetes. In total, 570 articles were identified, and 36 articles were included. The articles were published between 2011 and 2021. Platforms used for the search were PubMed, Scopus, Cochrane Library, and ProQuest. Our literature search included clinical and observational studies. Clinical studies revealed the MedDiet was associated with improved biomarkers, plaque, and anthropometric measurements that are associated with atherosclerosis and CVD. Observational studies identified associations between the MedDiet and lower presence of atherosclerosis, improved vascular aging, and increased endothelial progenitor cells. However, most of the studies took place in Mediterranean countries. Further research is needed to better understand the long-term effects the MedDiet on atherosclerosis and its associated risk factors in diverse populations to include individuals with and without diabetes.
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Affiliation(s)
- Leigh Ann Richardson
- Department of Epidemiology and Biostatistics, University of Nevada at Las Vegas, Las Vegas, NV 89154, USA
| | - Kenneth Izuora
- Section of Endocrinology, Department of Internal Medicine, University of Nevada at Las Vegas, Las Vegas, NV 89102, USA
| | - Arpita Basu
- Department of Kinesiology and Nutrition Sciences, School of Integrated Health Sciences, University of Nevada at Las Vegas, Las Vegas, NV 89154, USA
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Bezsonov EE, Sobenin IA, Orekhov AN. Lipids and Lipoproteins in Health and Disease. Biomedicines 2021; 10:biomedicines10010087. [PMID: 35052767 PMCID: PMC8773467 DOI: 10.3390/biomedicines10010087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Accepted: 12/30/2021] [Indexed: 11/28/2022] Open
Affiliation(s)
- Evgeny E. Bezsonov
- Laboratory of Angiopathology, Institute of General Pathology and Pathophysiology, 8 Baltiiskaya Street, 125315 Moscow, Russia; (I.A.S.); (A.N.O.)
- Laboratory of Cellular and Molecular Pathology of Cardiovascular System, Institute of Human Morphology (A. P. Avtsyn Research Institute of Human Morphology), 3 Tsyurupa Street, 117418 Moscow, Russia
- Department of Biology and General Genetics, I. M. Sechenov First Moscow State Medical University (Sechenov University), 8 Izmailovsky Boulevard, 105043 Moscow, Russia
- Correspondence:
| | - Igor A. Sobenin
- Laboratory of Angiopathology, Institute of General Pathology and Pathophysiology, 8 Baltiiskaya Street, 125315 Moscow, Russia; (I.A.S.); (A.N.O.)
- National Medical Research Center of Cardiology, Laboratory of Medical Genetics, Institute of Experimental Cardiology, 15a 3rd Cherepkovskaya Street, 121552 Moscow, Russia
| | - Alexander N. Orekhov
- Laboratory of Angiopathology, Institute of General Pathology and Pathophysiology, 8 Baltiiskaya Street, 125315 Moscow, Russia; (I.A.S.); (A.N.O.)
- Laboratory of Cellular and Molecular Pathology of Cardiovascular System, Institute of Human Morphology (A. P. Avtsyn Research Institute of Human Morphology), 3 Tsyurupa Street, 117418 Moscow, Russia
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