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Zubirán R, Cruz-Bautista I, Aguilar-Salinas CA. Interaction Between Primary Hyperlipidemias and Type 2 Diabetes: Therapeutic Implications. Diabetes Ther 2024; 15:1979-2000. [PMID: 39080218 PMCID: PMC11330433 DOI: 10.1007/s13300-024-01626-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2024] [Accepted: 07/10/2024] [Indexed: 08/18/2024] Open
Abstract
There is a gap of knowledge about the clinical and pathophysiological implications resulting from the interaction between primary hyperlipidemias and type 2 diabetes (T2D). Most of the existing evidence comes from sub-analyses of cohorts; scant information derives from randomized clinical trials. The expected clinical implications of T2D in patients with primary hyperlipidemias is an escalation of their already high cardiovascular risk. There is a need to accurately identify patients with this dual burden and to adequately prescribe lipid-lowering therapies, with the current advancements in newer therapeutic options. This review provides an update on the interactions of primary hyperlipidemias, such as familial combined hyperlipidemia, familial hypercholesterolemia, multifactorial chylomicronemia, lipoprotein (a), and type 2 diabetes.
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Affiliation(s)
- Rafael Zubirán
- Lipoprotein Metabolism Laboratory, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ivette Cruz-Bautista
- Unidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubiran, Mexico City, Mexico
| | - Carlos A Aguilar-Salinas
- Unidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubiran, Mexico City, Mexico.
- Dirección de Investigación, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
- Tecnológico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Mexico City, Mexico.
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Chen T, Liu N. How safe are proprotein convertase subtilisinekexin type 9 inhibitors in diabetes? Curr Opin Lipidol 2024; 35:187-194. [PMID: 38527426 DOI: 10.1097/mol.0000000000000934] [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] [Indexed: 03/27/2024]
Abstract
PURPOSE OF REVIEW To examine the safety of proprotein convertase subtilisinekexin type 9 (PCSK9) inhibitors in patients with diabetes, specifically focusing on their impact on glucose metabolism. RECENT FINDINGS Patients with diabetes often require intensified lipid-lowering therapy. PCSK9 inhibitors can reduce low-density lipoprotein cholesterol (LDL-C) concentrations by approximately 60%, and significantly reduce cardiovascular risk when added to statin therapy. Some studies have suggested an association between low LDL-C levels and an increased risk of new-onset diabetes, and genetics has almost consistently shown an increased glucose concentration and risk of diabetes. Most clinical trials have not demonstrated a deterioration in glycaemic control in patients with diabetes after the use of PCSK9 inhibitors, and they do not lead to other significant treatment-emergent adverse events. SUMMARY Although the majority of patients with diabetes are undergoing background statin therapy, which may mask potential adverse effects of PCSK9 inhibitors on glycaemic control, current data suggest that the benefits outweigh the risks for diabetic patients using PCSK9 inhibitors. Considering the different nature of genetic studies and of clinical trials, close monitoring of glucose parameters is necessary, especially in individuals with prediabetes.
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Affiliation(s)
- Tian Chen
- Department of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China
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Mthembu SX, Mazibuko-Mbeje SE, Silvestri S, Orlando P, Marcheggiani F, Cirilli I, Nkambule BB, Muller CJ, Tiano L, Dludla PV. Low levels and partial exposure to palmitic acid improves mitochondrial function and the oxidative status of cultured cardiomyoblasts. Toxicol Rep 2024; 12:234-243. [PMID: 38356855 PMCID: PMC10864757 DOI: 10.1016/j.toxrep.2024.01.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 01/24/2024] [Accepted: 01/29/2024] [Indexed: 02/16/2024] Open
Abstract
Lipid overload or metabolic stress has gained popularity in research that explores pathological mechanisms that may drive enhanced oxidative myocardial damage. Here, H9c2 cardiomyoblasts were exposed to various doses of palmitic acid (0.06 to 1 mM) for either 4 or 24 h to study its potential physiological response to cardiac cells. Briefly, assays performed included metabolic activity, cholesterol content, mitochondrial respiration, and prominent markers of oxidative stress, as well as determining changes in mitochondrial potential, mitochondrial production of reactive oxygen species, and intracellular antioxidant levels like glutathione, glutathione peroxidase and superoxide dismutase. Cellular damage was probed using fluorescent stains, annexin V and propidium iodide. Our results indicated that prolonged exposure (24-hours) to palmitic acid doses ≥ 0.5 mM significantly impaired mitochondrial oxidative status, leading to enhanced mitochondrial membrane potential and increased mitochondrial ROS production. While palmitic acid dose of 1 mM appeared to induce prominent cardiomyoblasts damage, likely because of its capacity to increase cholesterol content/ lipid peroxidation and severely suppressing intracellular antioxidants. Interestingly, short-term (4-hours) exposure to palmitic acid, especially for lower doses (≤ 0.25 mM), could improve metabolic activity, mitochondrial function and protect against oxidative stress induced myocardial damage. Potentially suggesting that, depending on the dose consumed or duration of exposure, consumption of saturated fatty acids such as palmitic acid can differently affect the myocardium. However, these results are still preliminary, and in vivo research is required to understand the significance of maintaining intracellular antioxidants to protect against oxidative stress induced by lipid overload.
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Affiliation(s)
- Sinenhlanhla X.H. Mthembu
- Biomedical Research and Innovation Platform, South African Medical Research Council, Tygerberg 7505, South Africa
- Department of Biochemistry, Mafikeng Campus, Northwest University, Mmabatho 2735, South Africa
| | | | - Sonia Silvestri
- Department of Life and Environmental Sciences, Polytechnic University of Marche, Ancona 60131, Italy
| | - Patrick Orlando
- Department of Life and Environmental Sciences, Polytechnic University of Marche, Ancona 60131, Italy
| | - Fabio Marcheggiani
- Department of Life and Environmental Sciences, Polytechnic University of Marche, Ancona 60131, Italy
| | - Ilenia Cirilli
- Department of Clinical Sciences, Section of Biochemistry, Polytechnic University of Marche, Ancona 60131, Italy
| | - Bongani B. Nkambule
- School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban 4000, South Africa
| | - Christo J.F. Muller
- Biomedical Research and Innovation Platform, South African Medical Research Council, Tygerberg 7505, South Africa
- Centre for Cardiometabolic Research Africa (CARMA), Division of Medical Physiology, Stellenbosch University, Tygerberg 7505, South Africa
- Department of Biochemistry and Microbiology, University of Zululand, KwaDlangezwa 3886, South Africa
| | - Luca Tiano
- Department of Life and Environmental Sciences, Polytechnic University of Marche, Ancona 60131, Italy
| | - Phiwayinkosi V. Dludla
- Department of Biochemistry and Microbiology, University of Zululand, KwaDlangezwa 3886, South Africa
- Cochrane South Africa, South African Medical Research Council, Tygerberg 7505, South Africa
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4
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Sánchez-Hernández RM, Wägner AM. Should children with type 1 diabetes really receive statin treatment using the same criteria as for children with familial hypercholesterolaemia? Diabetologia 2024; 67:952-953. [PMID: 38407607 DOI: 10.1007/s00125-024-06115-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 01/26/2024] [Indexed: 02/27/2024]
Affiliation(s)
- Rosa M Sánchez-Hernández
- Endocrinology and Nutrition Department, Complejo Hospitalario Universitario Insular Materno-Infantil, Instituto de Investigaciones Biomédicas y Sanitarias (IUIBS), Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Ana M Wägner
- Endocrinology and Nutrition Department, Complejo Hospitalario Universitario Insular Materno-Infantil, Instituto de Investigaciones Biomédicas y Sanitarias (IUIBS), Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain.
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Smith K, Deutsch AJ, McGrail C, Kim H, Hsu S, Huerta-Chagoya A, Mandla R, Schroeder PH, Westerman KE, Szczerbinski L, Majarian TD, Kaur V, Williamson A, Zaitlen N, Claussnitzer M, Florez JC, Manning AK, Mercader JM, Gaulton KJ, Udler MS. Multi-ancestry polygenic mechanisms of type 2 diabetes. Nat Med 2024; 30:1065-1074. [PMID: 38443691 PMCID: PMC11175990 DOI: 10.1038/s41591-024-02865-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 02/06/2024] [Indexed: 03/07/2024]
Abstract
Type 2 diabetes (T2D) is a multifactorial disease with substantial genetic risk, for which the underlying biological mechanisms are not fully understood. In this study, we identified multi-ancestry T2D genetic clusters by analyzing genetic data from diverse populations in 37 published T2D genome-wide association studies representing more than 1.4 million individuals. We implemented soft clustering with 650 T2D-associated genetic variants and 110 T2D-related traits, capturing known and novel T2D clusters with distinct cardiometabolic trait associations across two independent biobanks representing diverse genetic ancestral populations (African, n = 21,906; Admixed American, n = 14,410; East Asian, n =2,422; European, n = 90,093; and South Asian, n = 1,262). The 12 genetic clusters were enriched for specific single-cell regulatory regions. Several of the polygenic scores derived from the clusters differed in distribution among ancestry groups, including a significantly higher proportion of lipodystrophy-related polygenic risk in East Asian ancestry. T2D risk was equivalent at a body mass index (BMI) of 30 kg m-2 in the European subpopulation and 24.2 (22.9-25.5) kg m-2 in the East Asian subpopulation; after adjusting for cluster-specific genetic risk, the equivalent BMI threshold increased to 28.5 (27.1-30.0) kg m-2 in the East Asian group. Thus, these multi-ancestry T2D genetic clusters encompass a broader range of biological mechanisms and provide preliminary insights to explain ancestry-associated differences in T2D risk profiles.
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Affiliation(s)
- Kirk Smith
- Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Aaron J Deutsch
- Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Carolyn McGrail
- Biomedical Sciences Graduate Program, University of California, San Diego, La Jolla, CA, USA
| | - Hyunkyung Kim
- Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Committee on Genetics, Genomics and Systems Biology, University of Chicago, Chicago, IL, USA
- Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Sarah Hsu
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Alicia Huerta-Chagoya
- Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ravi Mandla
- Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Philip H Schroeder
- Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Kenneth E Westerman
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Lukasz Szczerbinski
- Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, Bialystok, Poland
- Clinical Research Centre, Medical University of Bialystok, Bialystok, Poland
| | - Timothy D Majarian
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
- Vertex Pharmaceuticals, Boston, MA, USA
| | - Varinderpal Kaur
- Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Alice Williamson
- Precision Healthcare University Research Institute, Queen Mary University of London, London, UK
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Noah Zaitlen
- Department of Neurology, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Computational Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Melina Claussnitzer
- Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jose C Florez
- Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Alisa K Manning
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Josep M Mercader
- Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Kyle J Gaulton
- Department of Pediatrics, University of California, San Diego, San Diego, CA, USA
| | - Miriam S Udler
- Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, USA.
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Sardà H, Colom C, Benitez S, Carreras G, Amigó J, Miñambres I, Viladés D, Blanco-Vaca F, Sanchez-Quesada JL, Pérez A. PCSK9 plasma concentration is associated with epicardial adipose tissue volume and metabolic control in patients with type 1 diabetes. Sci Rep 2024; 14:7195. [PMID: 38532033 DOI: 10.1038/s41598-024-57708-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 03/21/2024] [Indexed: 03/28/2024] Open
Abstract
Patients with type 1 diabetes (T1D) have a greater risk of cardiovascular disease. Proconvertase subtilisin-kexin 9 (PCSK9) is involved in the atherosclerosis process. This study aimed to determine the relationship between PCSK9 levels and epicardial adipose tissue (EAT) volume and cardiometabolic variables in patients with T1D. This was an observational cross-sectional study including 73 patients with T1D. Clinical, biochemical and imaging data were collected. We divided the patients into two groups according to their glycemic control and the EAT index (iEAT) percentile. We performed a correlation analysis between the collected variables and PCSK9 levels; subsequently, we performed a multiple regression analysis with the significant parameters. The mean age was 47.6 ± 8.5 years, 58.9% were men, and the BMI was 26.9 ± 4.6 kg/m2. A total of 31.5%, 49.3% and 34.2% of patients had hypertension, dyslipidemia and smoking habit, respectively. The PCSK9 concentration was 0.37 ± 0.12 mg/L, which was greater in patients with worse glycemic control (HbA1c > 7.5%), dyslipidemia and high EAT volume (iEAT > 75th percentile). The PCSK9 concentration was positively correlated with age (r = 0.259; p = 0.027), HbA1c (r = 0.300; p = 0.011), insulin dose (r = 0.275; p = 0.020), VLDL-C level (r = 0.331; p = 0.004), TG level (r = 0.328; p = 0.005), and iEAT (r = 0.438; p < 0.001). Multiple regression analysis revealed that 25% of the PCSK9 variability was explained by iEAT and HbA1c (p < 0.05). The PCSK9 concentration is associated with metabolic syndrome parameters, poor glycemic control and increased EAT volume in patients with T1D.
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Affiliation(s)
- Helena Sardà
- Department of Endocrinology and Nutrition, Hospital de la Santa Creu i Sant Pau - Hospital Dos de Maig, Antoni Maria Claret, 167, 08025, Barcelona, Spain
- Department of Medicine, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Cristina Colom
- Department of Endocrinology and Nutrition, Hospital de la Santa Creu i Sant Pau - Hospital Dos de Maig, Antoni Maria Claret, 167, 08025, Barcelona, Spain
| | - Sonia Benitez
- Cardiovascular Biochemistry Group, Institut de Recerca Sant Pau (IR Sant Pau), Sant Quintí, 77-79, 08041, Barcelona, Spain
- CIBER en Diabetes y Enfermedades Metabólicas (CIBERDEM), Madrid, Spain
| | - Gemma Carreras
- Department of Pediatrics, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Department of Pediatrics, Obstetrics and Gynecology, and Preventive Medicine and Public Health, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Judit Amigó
- Department of Endocrinology and Nutrition, Hospital Universitari Vall d'Hebrón, Barcelona, Spain
| | - Inka Miñambres
- Department of Endocrinology and Nutrition, Hospital de la Santa Creu i Sant Pau - Hospital Dos de Maig, Antoni Maria Claret, 167, 08025, Barcelona, Spain
- Department of Medicine, Universitat Autònoma de Barcelona, Bellaterra, Spain
- CIBER en Diabetes y Enfermedades Metabólicas (CIBERDEM), Madrid, Spain
| | - David Viladés
- Cardiac Imaging Unit, Cardiology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Centro de Investigación en red de enfermedades cardiovasculares (CIBERCV), Madrid, Spain
| | - Francisco Blanco-Vaca
- CIBER en Diabetes y Enfermedades Metabólicas (CIBERDEM), Madrid, Spain
- Department of Clinical Biochemistry, Hospital de la Santa Creu i Sant Pau, IIB Sant Pau, Barcelona, Spain
- Department of Biochemistry and Molecular Biology, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Jose Luís Sanchez-Quesada
- Cardiovascular Biochemistry Group, Institut de Recerca Sant Pau (IR Sant Pau), Sant Quintí, 77-79, 08041, Barcelona, Spain.
- CIBER en Diabetes y Enfermedades Metabólicas (CIBERDEM), Madrid, Spain.
| | - Antonio Pérez
- Department of Endocrinology and Nutrition, Hospital de la Santa Creu i Sant Pau - Hospital Dos de Maig, Antoni Maria Claret, 167, 08025, Barcelona, Spain.
- Department of Medicine, Universitat Autònoma de Barcelona, Bellaterra, Spain.
- CIBER en Diabetes y Enfermedades Metabólicas (CIBERDEM), Madrid, Spain.
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Li M, Zhang W, Zhang M, Li L, Wang D, Yan G, Qiao Y, Tang C. Nonlinear relationship between untraditional lipid parameters and the risk of prediabetes: a large retrospective study based on Chinese adults. Cardiovasc Diabetol 2024; 23:12. [PMID: 38184606 PMCID: PMC10771669 DOI: 10.1186/s12933-023-02103-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: 10/07/2023] [Accepted: 12/25/2023] [Indexed: 01/08/2024] Open
Abstract
BACKGROUND Abnormal lipid metabolism poses a risk for prediabetes. However, research on lipid parameters used to predict the risk of prediabetes is scarce, and the significance of traditional and untraditional lipid parameters remains unexplored in prediabetes. This study aimed to comprehensively evaluate the association between 12 lipid parameters and prediabetes and their diagnostic value. METHODS This cross-sectional study included data from 100,309 Chinese adults with normal baseline blood glucose levels. New onset of prediabetes was the outcome of concern. Untraditional lipid parameters were derived from traditional lipid parameters. Multivariate logistic regression and smooth curve fitting were used to examine the nonlinear relationship between lipid parameters and prediabetes. A two-piecewise linear regression model was used to identify the critical points of lipid parameters influencing the risk of prediabetes. The areas under the receiver operating characteristic curve estimated the predictive value of the lipid parameters. RESULTS A total of 12,352 participants (12.31%) were newly diagnosed with prediabetes. Following adjustments for confounding covariables, high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol were negatively correlated with prediabetes risk. Conversely, total cholesterol, triglyceride (TG), lipoprotein combine index (LCI), atherogenic index of plasma (AIP), non-HDL-C, atherogenic coefficient, Castelli's index-I, remnant cholesterol (RC), and RC/HDL-C ratio displayed positive correlations. In younger adults, females, individuals with a family history of diabetes, and non-obese individuals, LCI, TG, and AIP exhibited higher predictive values for the onset of prediabetes compared to other lipid profiles. CONCLUSION Nonlinear associations were observed between untraditional lipid parameters and the risk of prediabetes. The predictive value of untraditional lipid parameters for prediabetes surpassed that of traditional lipid parameters, with LCI emerging as the most effective predictor for prediabetes.
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Affiliation(s)
- Mingkang Li
- Department of Cardiology, Zhongda Hospital, Southeast University, 87 Dingjiaqiao, Nanjing, 210009, Jiangsu, China
| | - Wenkang Zhang
- Department of Cardiology, Zhongda Hospital, Southeast University, 87 Dingjiaqiao, Nanjing, 210009, Jiangsu, China
| | - Minhao Zhang
- Department of Cardiology, Zhongda Hospital, Southeast University, 87 Dingjiaqiao, Nanjing, 210009, Jiangsu, China
| | - Linqing Li
- Department of Cardiology, Zhongda Hospital, Southeast University, 87 Dingjiaqiao, Nanjing, 210009, Jiangsu, China
| | - Dong Wang
- Department of Cardiology, Zhongda Hospital, Southeast University, 87 Dingjiaqiao, Nanjing, 210009, Jiangsu, China
| | - Gaoliang Yan
- Department of Cardiology, Zhongda Hospital, Southeast University, 87 Dingjiaqiao, Nanjing, 210009, Jiangsu, China
| | - Yong Qiao
- Department of Cardiology, Zhongda Hospital, Southeast University, 87 Dingjiaqiao, Nanjing, 210009, Jiangsu, China.
| | - Chengchun Tang
- Department of Cardiology, Zhongda Hospital, Southeast University, 87 Dingjiaqiao, Nanjing, 210009, Jiangsu, China.
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González-Lleó AM, Sánchez-Hernández RM, Plana N, Ibarretxe D, Rehues P, Ribalta J, Llop D, Wägner AM, Masana L, Boronat M. Impact of PCSK9 inhibitors in glycaemic control and new-onset diabetes. Cardiovasc Diabetol 2024; 23:4. [PMID: 38172901 PMCID: PMC10765818 DOI: 10.1186/s12933-023-02077-y] [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: 10/05/2023] [Accepted: 11/27/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND The diabetogenic effect of statins has been well established by clinical trials, Mendelian randomisation studies and meta-analyses. According to large clinical trials, PCSK9 inhibitors (PCSK9i) have no deleterious impact on glucose metabolism. However, few real-life studies have yet evaluated the long-term effects of these drugs on glucose homeostasis and their impact on new-onset diabetes (NODM). METHODS We studied 218 patients treated with either alirocumab or evolocumab (70% with familial hypercholesterolemia) for at least three years (PCSK9iG). We studied the NODM rate in the nondiabetic group at baseline (168) and overall glucose metabolism control in the whole group. Incidental DM was compared with two groups. The first was a propensity score matching (PSM)-selected group (n = 168) from the database of patients attending the Reus lipid unit (Metbank, n = 745) who were not on PCSK9i (PSMG). The second was a subgroup with a similar age range (n = 563) of the Di@bet.es study (Spanish prospective study on diabetes development n = 5072) (D@G). The incidence was reported as the percentage of NODM cases per year. RESULTS The fasting glucose (FG) level of the subjects with normoglycaemia at baseline increased from 91 (86-95.5) to 93 (87-101) mg/dL (p = 0.014). There were 14 NODM cases in the PCSK9i group (2.6%/y), all among people with prediabetes at baseline. The incidence of NODM in PSMG and D@G was 1.8%/y (p = 0.69 compared with the PCSK9iG). The incidence among the subjects with prediabetes was 5.1%/y in the PCSK9iG, 4.8%/y in the PSMG and 3.9%/y in the D@G (p = 0.922 and p = 0.682, respectively). In the multivariate analysis, only the FG level was associated with the development of NODM in the PCSK9iG (OR 1.1; 95% CI: 1.0-1.3; p = 0.027). Neither FG nor A1c levels changed significantly in patients with DM at baseline. CONCLUSION A nonsignificant increase in NODM occurred in the PCSK9iG, particularly in patients with prediabetes, compared with the PSMG and D@G groups. Baseline FG levels were the main variable associated with the development of DM. In the subjects who had DM at baseline, glucose control did not change. The impact of PCSK9i on glucose metabolism should not be of concern when prescribing these therapies.
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Affiliation(s)
- Ana M González-Lleó
- Sección de Endocrinología y Nutrición. Complejo Hospitalario Universitario Insular Materno-Infantil de Gran Canaria (CHUIMI), Las Palmas de Gran Canaria, España.
- Instituto Universitario de Investigaciones Biomédicas y Sanitarias (IUIBS), Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas de Gran Canaria, España.
| | - Rosa M Sánchez-Hernández
- Sección de Endocrinología y Nutrición. Complejo Hospitalario Universitario Insular Materno-Infantil de Gran Canaria (CHUIMI), Las Palmas de Gran Canaria, España
- Instituto Universitario de Investigaciones Biomédicas y Sanitarias (IUIBS), Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas de Gran Canaria, España
| | - Núria Plana
- Universitat Rovira i Virgili. Unidad de Medicina Vascular y Metabolismo. Unitat de Recerca Lipids i Arteriosclerosi. Hospital Universitari Sant Joan, IISPV: CIBERDEM., Reus, España
| | - Daiana Ibarretxe
- Universitat Rovira i Virgili. Unidad de Medicina Vascular y Metabolismo. Unitat de Recerca Lipids i Arteriosclerosi. Hospital Universitari Sant Joan, IISPV: CIBERDEM., Reus, España
| | - Pere Rehues
- Universitat Rovira i Virgili. Unidad de Medicina Vascular y Metabolismo. Unitat de Recerca Lipids i Arteriosclerosi. Hospital Universitari Sant Joan, IISPV: CIBERDEM., Reus, España
| | - Josep Ribalta
- Universitat Rovira i Virgili. Unidad de Medicina Vascular y Metabolismo. Unitat de Recerca Lipids i Arteriosclerosi. Hospital Universitari Sant Joan, IISPV: CIBERDEM., Reus, España
| | - Dídac Llop
- Universitat Rovira i Virgili. Unidad de Medicina Vascular y Metabolismo. Unitat de Recerca Lipids i Arteriosclerosi. Hospital Universitari Sant Joan, IISPV: CIBERDEM., Reus, España
| | - Ana M Wägner
- Sección de Endocrinología y Nutrición. Complejo Hospitalario Universitario Insular Materno-Infantil de Gran Canaria (CHUIMI), Las Palmas de Gran Canaria, España
- Instituto Universitario de Investigaciones Biomédicas y Sanitarias (IUIBS), Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas de Gran Canaria, España
| | - Lluís Masana
- Universitat Rovira i Virgili. Unidad de Medicina Vascular y Metabolismo. Unitat de Recerca Lipids i Arteriosclerosi. Hospital Universitari Sant Joan, IISPV: CIBERDEM., Reus, España
| | - Mauro Boronat
- Sección de Endocrinología y Nutrición. Complejo Hospitalario Universitario Insular Materno-Infantil de Gran Canaria (CHUIMI), Las Palmas de Gran Canaria, España
- Instituto Universitario de Investigaciones Biomédicas y Sanitarias (IUIBS), Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas de Gran Canaria, España
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9
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Laakso M, Fernandes Silva L. Statins and risk of type 2 diabetes: mechanism and clinical implications. Front Endocrinol (Lausanne) 2023; 14:1239335. [PMID: 37795366 PMCID: PMC10546337 DOI: 10.3389/fendo.2023.1239335] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 08/29/2023] [Indexed: 10/06/2023] Open
Abstract
Statins are widely used to prevent cardiovascular disease events. Cardiovascular diseases and type 2 diabetes are tightly connected since type 2 diabetes is a major risk factor for cardiovascular diseases. Additionally, cardiovascular diseases often precede the development of type 2 diabetes. These two diseases have common genetic and environmental antecedents. Statins are effective in the lowering of cardiovascular disease events. However, they have also important side effects, including an increased risk of type 2 diabetes. The first study reporting an association of statin treatment with the risk of type 2 diabetes was the WOSCOPS trial (West of Scotland Coronary Prevention Study) in 2001. Other primary and secondary cardiovascular disease prevention studies as well as population-based studies have confirmed original findings. The purpose of our review is to examine and summarize the most important findings of these studies as well as to describe the mechanisms how statins increase the risk of type 2 diabetes.
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Affiliation(s)
- Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
- Kuopio University Hospital, Kuopio, Finland
| | - Lilian Fernandes Silva
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
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10
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Caamaño MC, García OP, Rosado JL. Food insecurity is associated with glycemic markers, and socioeconomic status and low-cost diets are associated with lipid metabolism in Mexican mothers. Nutr Res 2023; 116:24-36. [PMID: 37329865 DOI: 10.1016/j.nutres.2023.05.011] [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: 01/19/2023] [Revised: 05/22/2023] [Accepted: 05/22/2023] [Indexed: 06/19/2023]
Abstract
The association between socioeconomic status (SES) and chronic disease has recently become more evident in middle- and low-income countries. We hypothesized that poor socioeconomic conditions, such as food insecurity, low educational level, or low SES, may restrict access to a healthy diet and may be associated with cardiometabolic risk independently of body fat. This study examined the relation between socioeconomic indicators, body fat, and cardiometabolic disease risk markers in a random sample of mothers living in Queretaro, Mexico. Young and middle-aged mothers (n = 321) answered validated questionnaires to determine SES, food insecurity, and educational level and a semiquantitative food frequency questionnaire to determine dietary patterns and the cost of individual diet. Clinical measurements included anthropometry, blood pressure, lipids profile, glucose, and insulin. Obesity was present in 29% of the participants. Women with moderate food insecurity had higher waist circumference, glucose, insulin, and homeostasis model assessment of insulin resistance than women with food security. High triglyceride concentration and lower levels of high-density lipoprotein and low-density lipoprotein cholesterol were associated with lower SES and lower educational level. Women who consumed a lower carbohydrate diet had higher SES, higher education, and better cardiovascular risk markers. The higher carbohydrate diet profile was the least expensive diet. There was an inverse association between the cost and energy-density of foods. In conclusion, food insecurity was associated with glycemic control markers, and lower SES and education were related to a low-cost, higher carbohydrate diet and to a greater cardiovascular risk. The influence of the social environment on obesity and cardiovascular diseases needs to be further explored.
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Affiliation(s)
- María C Caamaño
- School of Natural Sciences, Autonomus University of Queretaro. Av Ciencias SN, Juriquilla 76230, Querétaro, Qro. México
| | - Olga P García
- School of Natural Sciences, Autonomus University of Queretaro. Av Ciencias SN, Juriquilla 76230, Querétaro, Qro. México
| | - Jorge L Rosado
- School of Natural Sciences, Autonomus University of Queretaro. Av Ciencias SN, Juriquilla 76230, Querétaro, Qro. México.
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11
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Zubielienė K, Valterytė G, Jonaitienė N, Žaliaduonytė D, Zabiela V. Familial Hypercholesterolemia and Its Current Diagnostics and Treatment Possibilities: A Literature Analysis. MEDICINA (KAUNAS, LITHUANIA) 2022; 58:1665. [PMID: 36422206 PMCID: PMC9692978 DOI: 10.3390/medicina58111665] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 10/30/2022] [Accepted: 11/13/2022] [Indexed: 09/30/2023]
Abstract
Familial hypercholesterolemia (FH) is a common, inherited disorder of cholesterol metabolism. This pathology is usually an autosomal dominant disorder and is caused by inherited mutations in the APOB, LDLR, and PCSK9 genes. Patients can have a homozygous or a heterozygous genotype, which determines the severity of the disease and the onset age of cardiovascular disease (CVD) manifestations. The incidence of heterozygous FH is 1: 200-250, whereas that of homozygous FH is 1: 100.000-160.000. Unfortunately, FH is often diagnosed too late and after the occurrence of a major coronary event. FH may be suspected in patients with elevated blood low-density lipoprotein cholesterol (LDL-C) levels. Moreover, there are other criteria that help to diagnose FH. For instance, the Dutch Lipid Clinical Criteria are a helpful diagnostic tool that is used to diagnose FH. FH often leads to the development of early cardiovascular disease and increases the risk of sudden cardiac death. Therefore, early diagnosis and treatment of this disease is very important. Statins, ezetimibe, bile acid sequestrants, niacin, PCSK9 inhibitors (evolocumab and alirocumab), small-interfering-RNA-based therapeutics (inclisiran), lomitapide, mipomersen, and LDL apheresis are several of the available treatment possibilities that lower LDL-C levels. It is important to say that the timeous lowering of LDL-C levels can reduce the risk of cardiovascular events and mortality in patients with FH. Therefore, it is essential to increase awareness of FH in order to reduce the burden of acute coronary syndrome (ACS).
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Affiliation(s)
- Kristina Zubielienė
- Department of Cardiology, Lithuanian University of Health Sciences Kaunas Clinics, LT-50161 Kaunas, Lithuania
- Department of Cardiology, Lithuanian University of Health Sciences Kaunas Hospital, LT-45130 Kaunas, Lithuania
- Kaunas Region Society of Cardiology, LT-44307, Kaunas, Lithuania
| | - Gintarė Valterytė
- Department of Cardiology, Lithuanian University of Health Sciences Kaunas Clinics, LT-50161 Kaunas, Lithuania
| | - Neda Jonaitienė
- Department of Cardiology, Lithuanian University of Health Sciences Kaunas Clinics, LT-50161 Kaunas, Lithuania
| | - Diana Žaliaduonytė
- Department of Cardiology, Lithuanian University of Health Sciences Kaunas Clinics, LT-50161 Kaunas, Lithuania
- Department of Cardiology, Lithuanian University of Health Sciences Kaunas Hospital, LT-45130 Kaunas, Lithuania
- Kaunas Region Society of Cardiology, LT-44307, Kaunas, Lithuania
| | - Vytautas Zabiela
- Department of Cardiology, Lithuanian University of Health Sciences Kaunas Clinics, LT-50161 Kaunas, Lithuania
- Kaunas Region Society of Cardiology, LT-44307, Kaunas, Lithuania
- Institute of Cardiology Kaunas, Cardiology Research Automation Laboratory, Lithuanian University of Health Sciences, LT-44307 Kaunas, Lithuania
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12
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Gu J, Zhou P, Liu Y, Xu Q, Chen X, Chen M, Lu C, Qu C, Tong Y, Yu Q, Lu X, Yu C, Liu Z. Down-regulating Interleukin-22/Interleukin-22 binding protein axis promotes inflammation and aggravates diet-induced metabolic disorders. Mol Cell Endocrinol 2022; 557:111776. [PMID: 36108991 DOI: 10.1016/j.mce.2022.111776] [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: 04/20/2022] [Revised: 08/25/2022] [Accepted: 09/08/2022] [Indexed: 11/26/2022]
Abstract
The prevalence of metabolic diseases has become a severe public health problem. Previously, we reported that Interleukin-22 (IL-22) was independently associated with type 2 diabetes mellitus and cardiovascular disease, and could protect endothelial cells from glucose- and lysophosphatidylcholine-induced injury. The activity of IL-22 is strongly regulated by IL-22-binding protein (IL-22BP). The aim of this investigation was to determine the effect of IL-22/IL-22BP axis on glucolipid metabolism. Serum IL-22 and IL-22BP expression in metabolic syndrome (MetS) patients and healthy controls was examined. IL-22BP-knockout (IL-22ra2-/-) and wild-type (WT) mice were fed with control diet (CTD) and high-fat diet (HFD) for 12 weeks. The IL-22 related pathway expression, the glucolipid metabolism, and inflammatory markers in mice were examined. Serum IL-22 and IL-22BP levels were found significantly increased in MetS patients (p < 0.001). IL-22BP deficiency down-regulated IL-22-related pathway, aggravated glucolipid metabolism disorder, and promoted inflammation in mice. Collectively, this work deepens the understanding of the relationship between IL-22/IL-22BP axis and metabolism disorders, and identified that down-regulation of IL-22/IL-22BP axis promotes metabolic disorders in mice.
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Affiliation(s)
- Jiayi Gu
- Department of Geriatrics, The Second Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, 210011, PR China; Key Laboratory for Aging & Disease, Nanjing Medical University, Nanjing, Jiangsu, 210011, PR China
| | - Ping Zhou
- Department of Geriatrics, The Second Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, 210011, PR China; Key Laboratory for Aging & Disease, Nanjing Medical University, Nanjing, Jiangsu, 210011, PR China
| | - Ying Liu
- Department of Geriatrics, The Second Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, 210011, PR China; Key Laboratory for Aging & Disease, Nanjing Medical University, Nanjing, Jiangsu, 210011, PR China
| | - Qiao Xu
- Department of Geriatrics, The Second Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, 210011, PR China; Key Laboratory for Aging & Disease, Nanjing Medical University, Nanjing, Jiangsu, 210011, PR China
| | - Xi Chen
- Department of Geriatrics, The Second Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, 210011, PR China; Key Laboratory for Aging & Disease, Nanjing Medical University, Nanjing, Jiangsu, 210011, PR China
| | - Mengqi Chen
- Department of Geriatrics, The Second Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, 210011, PR China; Key Laboratory for Aging & Disease, Nanjing Medical University, Nanjing, Jiangsu, 210011, PR China
| | - Chen Lu
- Department of General Surgery, Sir Run Run Hospital of Nanjing Medical University, 109 Longmian Avenue, Jiangning District, Nanjing, China
| | - Chen Qu
- Department of Geriatrics, The Second Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, 210011, PR China
| | - Yanli Tong
- Department of Geriatrics, The Second Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, 210011, PR China; Key Laboratory for Aging & Disease, Nanjing Medical University, Nanjing, Jiangsu, 210011, PR China
| | - Qinghua Yu
- MOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, Jiangsu, PR China
| | - Xiang Lu
- Department of Geriatrics, The Second Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, 210011, PR China; Key Laboratory for Aging & Disease, Nanjing Medical University, Nanjing, Jiangsu, 210011, PR China; Department of Geriatrics, Sir Run Run Hospital, Nanjing Medical University, Nanjing, Jiangsu, 211166, PR China.
| | - Chunzhao Yu
- Department of General Surgery, Sir Run Run Hospital of Nanjing Medical University, 109 Longmian Avenue, Jiangning District, Nanjing, China; Department of General Surgery, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, 210011, Jiangsu, PR China.
| | - Zhengxia Liu
- Department of Geriatrics, The Second Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, 210011, PR China; Key Laboratory for Aging & Disease, Nanjing Medical University, Nanjing, Jiangsu, 210011, PR China.
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13
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Poznyak AV, Litvinova L, Poggio P, Orekhov AN, Melnichenko AA. Familial Hypercholesterolaemia as a Predisposing Factor for Atherosclerosis. Biomedicines 2022; 10:biomedicines10102639. [PMID: 36289901 PMCID: PMC9599590 DOI: 10.3390/biomedicines10102639] [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: 09/18/2022] [Revised: 10/12/2022] [Accepted: 10/17/2022] [Indexed: 11/29/2022] Open
Abstract
Lipid metabolism alterations are an important component of the pathogenesis of atherosclerosis. However, it is now clear that the atherogenesis process involves more than one mechanism, and more than one condition can predispose this condition. Multiple risk factors contribute to the atherosclerosis initiation and define its course. Familial hypercholesterolaemia is a disorder of lipid metabolism that often leads to atherosclerosis development. As is clear from the disease name, the hallmark is the increased levels of low-density lipoprotein cholesterol (LDL-C) in blood. This creates favourable conditions for atherogenesis. In this review, we briefly described the familial hypercholesterolaemia and summarized data on the relationship between familial hypercholesterolaemia and atherosclerosis.
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Affiliation(s)
- Anastasia V. Poznyak
- Institute for Atherosclerosis Research, Osennyaya 4-1-207, Moscow 121609, Russia
- Correspondence: (A.V.P.); (A.N.O.)
| | - Larisa Litvinova
- Center for Immunology and Cellular Biotechnology, Immanuel Kant Baltic Federal University, 6 Gaidara Street, Kaliningrad 236001, Russia
| | - Paolo Poggio
- Unit for Study of Aortic, Valvular and Coronary Pathologies, Centro Cardiologico Monzino IRCCS, Via Carlo Parea 4, 20138 Milan, Italy
| | - Alexander N. Orekhov
- Institute for Atherosclerosis Research, Osennyaya 4-1-207, Moscow 121609, Russia
- Laboratory of Angiopathology, Institute of General Pathology and Pathophysiology, 8 Baltiiskaya Street, Moscow 125315, Russia
- Correspondence: (A.V.P.); (A.N.O.)
| | - Alexandra A. Melnichenko
- Laboratory of Angiopathology, Institute of General Pathology and Pathophysiology, 8 Baltiiskaya Street, Moscow 125315, Russia
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