1
|
Gateva A, Assyov Y, Karamfilova V, Kamenov Z. Common carotid artery intima media thickness (CIMT) in patients with prediabetes and newly diagnosed type 2 diabetes mellitus. J Diabetes Complications 2024; 38:108766. [PMID: 38759539 DOI: 10.1016/j.jdiacomp.2024.108766] [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: 03/29/2024] [Revised: 04/17/2024] [Accepted: 05/09/2024] [Indexed: 05/19/2024]
Abstract
AIM To evaluate the relationship between common carotid artery intima media thickness (CIMT) in patients with prediabetes and new-onset diabetes mellitus without proven cardiovascular disease and some classic cardio-metabolic risk factors. PATIENTS AND METHODS The study included 461 obese patients with an average age of 53.2 ± 10.7 years, divided into three groups - group 1 without carbohydrate disturbances (n = 182), group 2 with prediabetes (n = 193) and group 3 with newly diagnosed diabetes mellitus (n = 86). RESULTS The patients with new-onset diabetes had significantly higher mean CIMT values compared to those with prediabetes or without carbohydrate disturbances and a higher frequency of abnormal IMT values. CIMT correlated significantly with age, systolic BP, diastolic BP and fasting blood glucose and showed a high predictive value for the presence of diabetic neuropathy and sudomotor dysfunction. Patients with abnormal CIMT values had a higher incidence of arterial hypertension, dyslipidemia, metabolic syndrome, peripheral neuropathy, and sudomotor dysfunction. Patients who developed type 2 diabetes during follow-up had a significantly higher initial mean CIMT, which showed the highest predictive value for the risk of new-onset diabetes, with CIMT≥0.7 mm having 53 % sensitivity and 83 % specificity for the risk of progression to diabetes mellitus. CONCLUSION Patients with new-onset diabetes mellitus had significantly greater intima media thickness of the common carotid artery and a greater frequency of abnormal CIMT values compared to those with normoglycemia and prediabetes. CIMT has a high predictive value for the presence of diabetic neuropathy, sudomotor dysfunction and the risk of new onset diabetes.
Collapse
Affiliation(s)
- Antoaneta Gateva
- Medical University Sofia, Internal Medicine Department, Clinic of endocrinology, University Hospital Alexandrovska, Bulgaria.
| | - Yavor Assyov
- Medical University Sofia, Internal Medicine Department, Clinic of endocrinology, University Hospital Alexandrovska, Bulgaria
| | - Vera Karamfilova
- Medical University Sofia, Internal Medicine Department, Clinic of endocrinology, University Hospital Alexandrovska, Bulgaria
| | - Zdravko Kamenov
- Medical University Sofia, Internal Medicine Department, Clinic of endocrinology, University Hospital Alexandrovska, Bulgaria
| |
Collapse
|
2
|
Barranco-Altirriba M, Alonso N, Weber RJM, Lloyd GR, Hernandez M, Yanes O, Capellades J, Jankevics A, Winder C, Falguera M, Franch-Nadal J, Dunn WB, Perera-Lluna A, Castelblanco E, Mauricio D. Lipidome characterisation and sex-specific differences in type 1 and type 2 diabetes mellitus. Cardiovasc Diabetol 2024; 23:109. [PMID: 38553758 PMCID: PMC10981308 DOI: 10.1186/s12933-024-02202-5] [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: 12/07/2023] [Accepted: 03/14/2024] [Indexed: 04/01/2024] Open
Abstract
BACKGROUND In this study, we evaluated the lipidome alterations caused by type 1 diabetes (T1D) and type 2 diabetes (T2D), by determining lipids significantly associated with diabetes overall and in both sexes, and lipids associated with the glycaemic state. METHODS An untargeted lipidomic analysis was performed to measure the lipid profiles of 360 subjects (91 T1D, 91 T2D, 74 with prediabetes and 104 controls (CT)) without cardiovascular and/or chronic kidney disease. Ultra-high performance liquid chromatography-electrospray ionization mass spectrometry (UHPLC-ESI-MS) was conducted in two ion modes (positive and negative). We used multiple linear regression models to (1) assess the association between each lipid feature and each condition, (2) determine sex-specific differences related to diabetes, and (3) identify lipids associated with the glycaemic state by considering the prediabetes stage. The models were adjusted by sex, age, hypertension, dyslipidaemia, body mass index, glucose, smoking, systolic blood pressure, triglycerides, HDL cholesterol, LDL cholesterol, alternate Mediterranean diet score (aMED) and estimated glomerular filtration rate (eGFR); diabetes duration and glycated haemoglobin (HbA1c) were also included in the comparison between T1D and T2D. RESULTS A total of 54 unique lipid subspecies from 15 unique lipid classes were annotated. Lysophosphatidylcholines (LPC) and ceramides (Cer) showed opposite effects in subjects with T1D and subjects with T2D, LPCs being mainly up-regulated in T1D and down-regulated in T2D, and Cer being up-regulated in T2D and down-regulated in T1D. Also, Phosphatidylcholines were clearly down-regulated in subjects with T1D. Regarding sex-specific differences, ceramides and phosphatidylcholines exhibited important diabetes-associated differences due to sex. Concerning the glycaemic state, we found a gradual increase of a panel of 1-deoxyceramides from normoglycemia to prediabetes to T2D. CONCLUSIONS Our findings revealed an extensive disruption of lipid metabolism in both T1D and T2D. Additionally, we found sex-specific lipidome changes associated with diabetes, and lipids associated with the glycaemic state that can be linked to previously described molecular mechanisms in diabetes.
Collapse
Affiliation(s)
- Maria Barranco-Altirriba
- Department of Endocrinology & Nutrition, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial, Universitat Politècnica de Catalunya, B2SLab, Barcelona, Spain
- Networking Biomedical Research Centre in the subject area of Bioengineering, Biomaterials and Nanomedicine, CIBER-BBN), Madrid, Spain
- Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Barcelona, Spain
| | - Núria Alonso
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, Barcelona, Spain
- Servicio de Endocrinología y Nutrición, Hospital Universitario e Instituto de Investigación en Ciencias de la Salud Germans Trias i Pujol, Badalona, Barcelona, Spain
- Departament de Medicina, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Ralf J M Weber
- School of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
- Phenome Centre Birmingham, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
- Institute of Metabolism and Systems Research, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Gavin R Lloyd
- School of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
- Phenome Centre Birmingham, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
- Institute of Metabolism and Systems Research, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Marta Hernandez
- Department of Endocrinology & Nutrition, Hospital Universitari Arnau de Vilanova, Institut de Recerca Biomèdica de Lleida (IRBLleida), Lleida, Spain
| | - Oscar Yanes
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, Barcelona, Spain
- Department of Electronic Engineering, Universitat Rovira i Virgili, IISPV, Tarragona, Spain
| | - Jordi Capellades
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, Barcelona, Spain
- Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
| | - Andris Jankevics
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research, Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Utrecht, The Netherlands
- Netherlands Proteomics Center, Utrecht, The Netherlands
| | - Catherine Winder
- School of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
- Phenome Centre Birmingham, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
- Centre for Metabolomics Research, Department of Biochemistry, Cell and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, L69 7ZB, Liverpool, UK
| | - Mireia Falguera
- Institut d'Investigació Biomèdica, Centre Atenció Primària Cervera, Gerència d'Atenció Primària, Universitat de Lleida, Institut Català de la Salut, Lleida, Spain
| | - Josep Franch-Nadal
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, Barcelona, Spain
- DAP-Cat Group, Unitat de Suport a La Recerca Barcelona Ciutat, Institut Universitari d'Investigació en Atenció Primària Jordi Gol, Barcelona, Spain
| | - Warwick B Dunn
- School of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
- Phenome Centre Birmingham, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
- Centre for Metabolomics Research, Department of Biochemistry, Cell and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, L69 7ZB, Liverpool, UK
| | - Alexandre Perera-Lluna
- Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial, Universitat Politècnica de Catalunya, B2SLab, Barcelona, Spain
- Networking Biomedical Research Centre in the subject area of Bioengineering, Biomaterials and Nanomedicine, CIBER-BBN), Madrid, Spain
- Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Barcelona, Spain
| | - Esmeralda Castelblanco
- Division of Endocrinology, Metabolism and Lipid Research, Department of Internal Medicine, Washington University School of Medicine, 63110, St. Louis, MO, USA.
- Unitat de Suport a la Recerca Barcelona, Institut Universitari d'Investigació en Atenció Primària Jordi Gol i Gurina, 08007, Barcelona, Spain.
| | - Didac Mauricio
- Department of Endocrinology & Nutrition, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, Barcelona, Spain.
- Institut d'Investigació Biomèdica Sant Pau (IR Sant Pau), 08041, Barcelona, Spain.
- Faculty of Medicine, University of Vic, Vic, Spain.
| |
Collapse
|
3
|
Li C, Cai Q. Two ferroptosis-specific expressed genes NOX4 and PARP14 are considered as potential biomarkers for the diagnosis and treatment of diabetic retinopathy and atherosclerosis. Diabetol Metab Syndr 2024; 16:61. [PMID: 38443950 PMCID: PMC10913658 DOI: 10.1186/s13098-024-01301-3] [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: 01/01/2024] [Accepted: 02/28/2024] [Indexed: 03/07/2024] Open
Abstract
OBJECTIVES Both Diabetic retinopathy (DR) and Atherosclerosis (AS) are common complications in patients with diabetes, and they share major pathophysiological similarities and have a common pathogenesis. Studies performed to date have demonstrated that ferroptosis plays a vital part in the occurrence and development of DR and AS, but its mechanism in the two diseases remains poorly understood. METHODS DR Chip data (GSE60436 and GSE102485) and AS chip data (GSE100927 and GSE57691) were obtained from the Gene Expression Omnibus (GEO) database. The screening of the differential expression genes (DEGs) was analyzed using the limma package, and the genes related to ferroptosis were obtained from the FerrDb V2 database. Two key genes (NOX4 and PARP14) were identified through external datasets validation and receiver operating characteristic (ROC) curve analysis. Gene Ontology (GO) and Gene Set Enrichment Analysis (GSEA) were used to conduct a functional enrichment analysis, and miRNA-mRNA networks were established. The CIBERSORT algorithm was applied to identify the immune cell infiltration between the disease group and control group. Next, the correlations between key genes and infiltrating immune cells were investigated by the Spearman method. Finally, the correlation between 2 key genes and ferroptosis markers was confirmed. RESULTS Nine ferroptosis differentially expressed genes (DE-FRGs) between DR and AS were identified in this study. NOX4 and PARP14 were selected as key genes for further analysis by external datasets and ROC curve analysis. The key genes NOX4, PARP14 and their correlated genes (such as CYBA, NOX1, NOX3, CYBB, PARP9, PARP10, and PARP15) are mainly enriched in oxidoreductase activity, protein ADP-ribosylation, superoxide metabolic process, reactive oxygen species metabolic process, PID pathway, and VEGFA-VEGFR2 pathway. A miRNA-mRNA network was constructed, and we got 12 miRNAs correlated with the target gene NOX4, 38 miRNAs correlated with the target gene PARP14. Three common miRNAs (hsa-miR-1-3p, hsa-miR-129-2-3p, and hsa-miR-155-5p) were observed in the network. Immune infiltration analysis displayed that activated B cell, MDSC, and Type 17 T helper cell are the common immune cells involved in the immune infiltration process of DR and AS. The results revealed that there are significant correlations between two key genes and most ferroptosis marker genes no matter in DR or AS. CONCLUSION Ferroptosis-related genes NOX4 and PARP14 may be common biomarkers of DR and AS. Both were associated with immune infiltration in patients with DR and AS. Our data provide a theoretical basis for the early diagnosis and immunotherapy of the two diseases.
Collapse
Affiliation(s)
- Chen Li
- Department of Ophthalmology, The First Affiliated Hospital of Soochow University, Shizi Street 188, Suzhou, 21006, Jiangsu, China
| | - QinHua Cai
- Department of Ophthalmology, The First Affiliated Hospital of Soochow University, Shizi Street 188, Suzhou, 21006, Jiangsu, China.
| |
Collapse
|
4
|
Serés-Noriega T, Perea V, Amor AJ. Screening for Subclinical Atherosclerosis and the Prediction of Cardiovascular Events in People with Type 1 Diabetes. J Clin Med 2024; 13:1097. [PMID: 38398409 PMCID: PMC10889212 DOI: 10.3390/jcm13041097] [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: 01/19/2024] [Revised: 02/09/2024] [Accepted: 02/12/2024] [Indexed: 02/25/2024] Open
Abstract
People with type 1 diabetes (T1D) have a high cardiovascular disease (CVD) risk, which remains the leading cause of death in this population. Despite the improved control of several classic risk factors, particularly better glycaemic control, cardiovascular morbidity and mortality continue to be significantly higher than in the general population. In routine clinical practice, estimating cardiovascular risk (CVR) in people with T1D using scales or equations is often imprecise because much of the evidence comes from pooled samples of people with type 2 diabetes (T2D) and T1D or from extrapolations of studies performed on people with T2D. Given that T1D onsets at a young age, prolonged exposure to the disease and its consequences (e.g., hyperglycaemia, changes in lipid metabolism or inflammation) have a detrimental impact on cardiovascular health. Therefore, it is critical to have tools that allow for the early identification of those individuals with a higher CVR and thus be able to make the most appropriate management decisions in each case. In this sense, atherosclerosis is the prelude to most cardiovascular events. People with diabetes present pathophysiological alterations that facilitate atherosclerosis development and that may imply a greater vulnerability of atheromatous plaques. Screening for subclinical atherosclerosis using various techniques, mainly imaging, has proven valuable in predicting cardiovascular events. Its use enables the reclassification of CVR and, therefore, an individualised adjustment of therapeutic management. However, the available evidence in people with T1D is scarce. This narrative review provides and updated overview of the main non-invasive tests for detecting atherosclerosis plaques and their association with CVD in people with T1D.
Collapse
Affiliation(s)
- Tonet Serés-Noriega
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, 08036 Barcelona, Spain
| | - Verónica Perea
- Endocrinology and Nutrition Department, Hospital Universitari Mútua de Terrassa, 08221 Terrassa, Spain
| | - Antonio J. Amor
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, 08036 Barcelona, Spain
| |
Collapse
|
5
|
Pinés Corrales PJ, Sastre Marcos J, López Gallardo G, Moreno Fernández J, Herranz Antolín S, Quiroga López I, Del Val Zaballos F, González López J, Alfaro Martínez JJ. All-cause mortality and risk factors in patients with type 1 diabetes in Castilla-La Mancha, Spain. DIACAM1 2010-2020 study. Prim Care Diabetes 2024; 18:59-64. [PMID: 37977987 DOI: 10.1016/j.pcd.2023.11.003] [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: 01/12/2023] [Revised: 11/01/2023] [Accepted: 11/05/2023] [Indexed: 11/19/2023]
Abstract
INTRODUCTION Despite better treatments and care for patients with type 1 diabetes (T1DM), all-cause and cardiovascular mortality still remains higher compared to the general population. We evaluated mortality and risk factors for mortality in a representative cohort of patients with T1DM. METHODS DIACAM1 was a cross-sectional, multicenter study on adult patients (≥ 16 years old) and diabetes with at least 5 years since diabetes diagnosis conducted between 2009 and 2010. DIACAM1 2010-2020 study was a follow-up study, extension of DIACAM1, where vital status of patients was evaluated between June 2019 and June 2020. RESULTS 4.03% [CI95%, 2.53-5.62) of the 1465 patients with T1DM included in the cohort of the DIACAM1 in 2010 had died. Survival was lower than in the sex- and age-matched general population in the same region. 40.7% of deaths were due to cardiovascular disease. HbA1c levels < 7% and triglyceride levels < 150 mg/dL were associated with lower mortality, whereas retinopathy and plasma creatinine were associated with increased mortality. CONCLUSIONS We confirmed a lower survival in people with T1DM, with cardiovascular disease being the main cause of mortality. High HbA1c, high triglycerides, retinopathy, and high creatinine are factors associated with mortality.
Collapse
|
6
|
Liu C, Yang X, Ji M, Zhang X, Bian X, Chen T, Li Y, Qi X, Wu J, Wang J, Tang Z. Sex-specific association between carotid atherosclerosis and fundus arteriosclerosis in a Chinese population: a retrospective cross-sectional study. Eur J Med Res 2023; 28:518. [PMID: 37968750 PMCID: PMC10648731 DOI: 10.1186/s40001-023-01508-6] [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: 05/08/2023] [Accepted: 11/05/2023] [Indexed: 11/17/2023] Open
Abstract
OBJECTIVES Vascular stiffening is highly predictive of major adverse cardiovascular events. It is not clear whether microangiopathy, such as fundus arteriosclerosis, is related to carotid atherosclerosis. Hence, this study was designed to investigate the relationship between carotid atherosclerosis and fundus arteriosclerosis among individuals of different sexes in the Chinese health-examination population. METHODS This retrospective cross-sectional study involved 20,836 participants, including 13050 males and 7786 females. All participants underwent a detailed health examination, including medical history assessment, physical examination, assessment of lifestyle factors, fundus photography, Doppler ultrasound examination of the neck, and laboratory examinations. Two trained ophthalmologists analysed fundus arteriosclerosis based on fundus photographs, while carotid atherosclerosis was diagnosed using colour Doppler sonography of the neck. Binary logistic regression was used to analyse the relationship between carotid atherosclerosis and fundus arteriosclerosis. RESULTS In participants with fundus arteriosclerosis, the incidence of carotid atherosclerosis was higher than that of participants without fundus arteriosclerosis (52.94% vs. 47.06%). After adjustments for potential confounding factors, fundus arteriosclerosis was significantly associated with the risk of carotid atherosclerosis. The OR with 95% CI for fundus arteriosclerosis was 1.17 (1.02, 1.34) with p = 0.0262, and individuals who did not have fundus arteriosclerosis were used as a reference in the total population. Fundus arteriosclerosis was associated with the incidence of carotid atherosclerosis in males (p = 0.0005) but not in females (p = 0.0746). CONCLUSIONS Fundus arteriosclerosis was closely associated with carotid atherosclerosis in the Chinese population. This association was found in males but not in females.
Collapse
Affiliation(s)
- Chunxing Liu
- Department of Laboratory, Hua Dong Sanatorium, Wuxi, 214065, China
| | - Xiaolong Yang
- Department of Ophthalmology, Hua Dong Sanatorium, Wuxi, 214065, China
| | - Mengmeng Ji
- Department of Laboratory, Hua Dong Sanatorium, Wuxi, 214065, China
| | - Xiaowei Zhang
- Department of Nursing, Hua Dong Sanatorium, Wuxi, 214065, China
| | - Xiyun Bian
- Department of Ophthalmology, Hua Dong Sanatorium, Wuxi, 214065, China
| | - Tingli Chen
- Department of Ophthalmology, Hua Dong Sanatorium, Wuxi, 214065, China
| | - Yihan Li
- Department of Otolaryngology, Hua Dong Sanatorium, Wuxi, 214065, China
| | - Xing Qi
- Department of Otolaryngology, Hua Dong Sanatorium, Wuxi, 214065, China
| | - Jianfeng Wu
- Department of Laboratory, Hua Dong Sanatorium, Wuxi, 214065, China
| | - Jing Wang
- Department of Ophthalmology, Hua Dong Sanatorium, Wuxi, 214065, China.
| | - Zaixiang Tang
- Department of Biostatistics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, 215123, China.
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou Medical College of Soochow University, Suzhou, 215123, China.
| |
Collapse
|
7
|
Liao M, Chen S, Guo R. Association between carotid ultrasonographic parameters and microvascular and macrovascular complications in diabetes: A systematic review and meta-analysis. J Diabetes Complications 2023; 37:108554. [PMID: 37418962 DOI: 10.1016/j.jdiacomp.2023.108554] [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: 04/14/2023] [Revised: 06/13/2023] [Accepted: 06/25/2023] [Indexed: 07/09/2023]
Abstract
OBJECTIVE The present meta-analysis aimed to assess the association between carotid ultrasonographic parameters and diabetic microvascular and macrovascular complications. METHODS All published articles were searched in electronic databases including PubMed, Embase, Cochrane Library, and Web of Science databases from the inception to May 27, 2023. Common carotid artery intima-media thickness (CCA-IMT), carotid bifurcation intima-media thickness (CB-IMT), internal carotid artery intima-media thickness (ICA-IMT), carotid plaque, carotid plaque score, plaque number, plaque thickness, carotid atherosclerosis, and resistivity indices (RIs) of ultrasonographic parameters were assessed. The odds ratio (OR), weighted mean difference (WMD), with the 95 % confidence interval (CI) were pooled to estimate the effect. Subgroup analyses were performed in terms of the type of diabetes and study design. Sensitivity analysis was used to evaluate the robustness of the results. RESULTS A total of 25 studies involving 12,102 diabetic patients were included in this systematic review and meta-analysis. Our findings suggested the associations between increased CCA-IMT and the risk of diabetic microvascular (WMD: 0.059, 95%CI: 0.026 to 0.091, P < 0.001) and macrovascular complications (WMD: 0.124, 95%CI: 0.061 to 0.187, P < 0.001) including cardiovascular events (OR: 2.362, 95%CI: 1.913 to 2.916, P < 0.001). Subgroup analyses also elaborated an association between CCA-IMT and diabetic microvascular and macrovascular complications. The results of sensitivity analysis show that the association is relatively stable. CONCLUSION Our findings revealed associations between carotid ultrasonographic parameters and microvascular and macrovascular complications of diabetes. Application of the carotid ultrasonographic parameters could be a non-invasive method for the early detection of long-term complications of diabetes.
Collapse
Affiliation(s)
- Meimei Liao
- Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan 430060, PR China
| | - Sen Chen
- Department of Orthopedics, Renmin Hospital of Wuhan University, Wuhan 430060, PR China
| | - Ruiqiang Guo
- Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan 430060, PR China.
| |
Collapse
|
8
|
Castelblanco E, Granado-Casas M, Hernández M, Pinyol M, Correig E, Julve J, Rojo-López MI, Alonso N, Avogaro A, Ortega E, Mauricio D. Diabetic retinopathy predicts cardiovascular disease independently of subclinical atherosclerosis in individuals with type 2 diabetes: A prospective cohort study. Front Cardiovasc Med 2022; 9:945421. [PMID: 36407461 PMCID: PMC9668891 DOI: 10.3389/fcvm.2022.945421] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 10/19/2022] [Indexed: 01/29/2024] Open
Abstract
BACKGROUND Diabetic retinopathy (DR) and preclinical atherosclerosis are associated with higher cardiovascular risk. However, no studies have investigated the predictive role of DR and preclinical atherosclerosis jointly on cardiovascular events in subjects with type 2 diabetes (T2D). We aimed to assess the contribution of DR and subclinical atherosclerosis on the risk of adverse cardiovascular events in subjects with T2D without previous cardiovascular disease (CVD). METHODS We included two prospective cohorts of subjects with T2D from the same geographical area. Assessment of subclinical atherosclerosis was performed by carotid ultrasound. An ophthalmologist classified DR according to standard criteria. Cardiovascular outcomes considered for analysis were the following: ischemic heart disease, stroke, heart failure, peripheral artery disease, revascularization procedures, and cardiovascular mortality. Bivariable and multivariable predictive models were performed. RESULTS From a total of 374 subjects with T2D 44 developed cardiovascular events during the 7.1 years of follow-up. Diabetes duration, total cholesterol, and glycated hemoglobin (HbA1c) at baseline were higher in subjects who developed cardiovascular outcomes (p < 0.001, p = 0.026, and p = 0.040, respectively). Compared with subjects without events, those developing cardiovascular events had higher prevalence of retinopathy (65.9% vs. 38.8%, p = 0.001; respectively) and more than mild retinopathy (43.2% vs. 31.8%, p = 0.002; respectively). Furthermore, all-cause mortality was higher in subjects with MACE than those without events (13.6% vs. 3.3%, p = 0.009; respectively). The multivariable analyses showed that HbA1c and the presence of DR at baseline were predictive of cardiovascular outcomes (p = 0.045 and p = 0.023, respectively). However, the burden of subclinical atherosclerosis was not (p = 0.783 and p = 0.071, respectively). CONCLUSION DR is a strong predictor of cardiovascular events in T2D individuals at primary CVD prevention, even after accounting for the presence of preclinical carotid atherosclerosis. These results may help to individualize CVD prevention strategies in T2D.
Collapse
Affiliation(s)
- Esmeralda Castelblanco
- Division of Endocrinology, Metabolism and Lipid Research, Washington University School of Medicine in St. Louis, St. Louis, MO, United States
- DAP-Cat Group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol i Gurina, Barcelona, Spain
| | - Minerva Granado-Casas
- Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III, Barcelona, Spain
- Department of Endocrinology and Nutrition, Hospital de la Santa Creu i Sant Pau and Sant Pau Biomedical Research Institute (IIB Sant Pau), Barcelona, Spain
| | - Marta Hernández
- Lleida Institute for Biomedical Research Dr. Pifarré Foundation IRBLleida, University of Lleida, Lleida, Spain
- Department of Endocrinology and Nutrition, University Hospital Arnau de Vilanova, Lleida, Spain
| | - Montserrat Pinyol
- Consorcio de Atención Primaria del Eixample (CAPSE), Grup Transversal de Recerca en Atenció Primària, Institut d’Investigacions Biomédiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Eudald Correig
- Department of Biostatistics, Universitat Rovira i Virgili, Reus, Spain
| | - Josep Julve
- Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III, Barcelona, Spain
- Department of Endocrinology and Nutrition, Hospital de la Santa Creu i Sant Pau and Sant Pau Biomedical Research Institute (IIB Sant Pau), Barcelona, Spain
| | - Marina Idalia Rojo-López
- Department of Endocrinology and Nutrition, Hospital de la Santa Creu i Sant Pau and Sant Pau Biomedical Research Institute (IIB Sant Pau), Barcelona, Spain
| | - Núria Alonso
- Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III, Barcelona, Spain
- Department of Endocrinology and Nutrition, Germans Trias i Pujol Hospital and Research Institute, Universitat Autònoma de Barcelona, Badalona, Spain
| | - Angelo Avogaro
- Department of Medicine, Università di Padova, Padua, Italy
| | - Emilio Ortega
- Diabetes Unit, Department of Endocrinology and Nutrition, Hospital Clínic de Barcelona, Barcelona, Spain
- Center for Biomedical Research on Pathophysiology of Obesity and Nutrition (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain
- Institut d’Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - Didac Mauricio
- Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III, Barcelona, Spain
- Department of Endocrinology and Nutrition, Hospital de la Santa Creu i Sant Pau and Sant Pau Biomedical Research Institute (IIB Sant Pau), Barcelona, Spain
- Faculty of Medicine, University of Vic (UVic-UCC), Barcelona, Spain
| |
Collapse
|
9
|
Castelblanco E, Hernández M, Alonso N, Ribes-Betriu A, Real J, Granado-Casas M, Rossell J, Rojo-López MI, Dusso AS, Julve J, Mauricio D. Association of α-klotho with subclinical carotid atherosclerosis in subjects with type 1 diabetes mellitus. Cardiovasc Diabetol 2022; 21:207. [PMID: 36221075 PMCID: PMC9554979 DOI: 10.1186/s12933-022-01640-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Accepted: 09/15/2022] [Indexed: 11/10/2022] Open
Abstract
Background Compelling evidence suggests that the fibroblast growth factor 23 (FGF23) / α-klotho axis is impaired in subjects with diabetes mellitus. We examined the relationship between parameters related to calcium/phosphate homeostasis, including FGF23 and α-klotho, and subclinical carotid atherosclerosis burden in type 1 diabetes mellitus (T1D) subjects. Methods This cross-sectional study involved 226 subjects with T1D and 147 age-, sex- and plaque-matched, non-diabetic (non-T1D) subjects, both with normal renal function. Carotid ultrasound was performed to determine the presence and burden of atheromatous plaques. Concentrations of the intact form of FGF23 and α-klotho were assessed by ELISA. Calcium, phosphate, parathyroid hormone, and vitamin D levels were also determined. Negative binomial regression models were used to examine relationship between parameters studied and subclinical carotid atherosclerosis. Results Only FGF23 was increased in T1D compared with non-diabetic subjects (> 2-fold; p < 0.05). α-klotho was higher in subjects with subclinical carotid atherosclerosis (1.4-fold, p < 0.05). Regression analysis revealed that the log α-klotho concentration was positively associated with the presence of subclinical carotid atherosclerosis both in T1D subjects (incidence rate ratio [IRR]: 1.41; 95% confidence interval [CI], 1.06–1.89; p < 0.05) and in non-T1D subjects (IRR: 1.65; 95% CI, 1.02–2.75; p < 0.05). The models also showed that age, smoking and albuminuria-to-creatinine ratio were positively associated with subclinical carotid atherosclerosis in T1D subjects. Interestingly, sex-related protection against plaque was also revealed in T1D women. Conclusion Higher α-klotho was associated with subclinical carotid atherosclerotic in the absence of kidney dysfunction. This finding also points to a new pathophysiological pathway involved in the development and progression of this complication. Supplementary Information The online version contains supplementary material available at 10.1186/s12933-022-01640-3.
Collapse
Affiliation(s)
- Esmeralda Castelblanco
- Endocrinology, Metabolism and Lipid Research Division, Department of Medicine, Washington University School of Medicine, 63110, St Louis, MO, USA.,Unitat de Suport a la Recerca Barcelona, Institut Universitari d'Investigació en Atenció Primària Jordi Gol i Gurina (IDIAP Jordi Gol), 08007, Barcelona, Spain
| | - Marta Hernández
- Department of Endocrinology & Nutrition, Hospital Universitari Arnau de Vilanova & Institut d'Investigació Biomédica de Lleida (IRB Lleida), 25198, Lleida, Spain
| | - Nuria Alonso
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, 28029, Madrid, Spain.,Department of Endocrinology & Nutrition, Hospital Universitari Germans Trias i Pujol, 08916, Badalona, Spain.,Department of Medicine, Autonomous University of Barcelona, 08916, Barcelona, Spain
| | - Aina Ribes-Betriu
- Institut d'Investigació Biomèdica Sant Pau (IIB Sant Pau), 08041, Barcelona, Spain
| | - Jordi Real
- Unitat de Suport a la Recerca Barcelona, Institut Universitari d'Investigació en Atenció Primària Jordi Gol i Gurina (IDIAP Jordi Gol), 08007, Barcelona, Spain.,CIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Minerva Granado-Casas
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, 28029, Madrid, Spain.,Institut d'Investigació Biomèdica Sant Pau (IIB Sant Pau), 08041, Barcelona, Spain.,Department of Endocrinology & Nutrition, Hospital de la Santa Creu i Sant Pau, 08041, Barcelona, Spain
| | - Joana Rossell
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, 28029, Madrid, Spain.,Institut d'Investigació Biomèdica Sant Pau (IIB Sant Pau), 08041, Barcelona, Spain.,Department of Endocrinology & Nutrition, Hospital de la Santa Creu i Sant Pau, 08041, Barcelona, Spain
| | - Marina Idalia Rojo-López
- Institut d'Investigació Biomèdica Sant Pau (IIB Sant Pau), 08041, Barcelona, Spain.,Department of Endocrinology & Nutrition, Hospital de la Santa Creu i Sant Pau, 08041, Barcelona, Spain
| | - Adriana Silvia Dusso
- Endocrinology, Metabolism and Lipid Research Division, Department of Medicine, Washington University School of Medicine, 63110, St Louis, MO, USA
| | - Josep Julve
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, 28029, Madrid, Spain. .,Institut d'Investigació Biomèdica Sant Pau (IIB Sant Pau), 08041, Barcelona, Spain. .,Department of Endocrinology & Nutrition, Hospital de la Santa Creu i Sant Pau, 08041, Barcelona, Spain.
| | - Didac Mauricio
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, 28029, Madrid, Spain. .,Institut d'Investigació Biomèdica Sant Pau (IIB Sant Pau), 08041, Barcelona, Spain. .,Department of Endocrinology & Nutrition, Hospital de la Santa Creu i Sant Pau, 08041, Barcelona, Spain. .,Faculty of Medicine, University of Vic (UVIC/UCC), 08500, Vic, Spain.
| |
Collapse
|
10
|
Predictive Value of the Advanced Lipoprotein Profile and Glycated Proteins on Diabetic Retinopathy. Nutrients 2022; 14:nu14193932. [PMID: 36235586 PMCID: PMC9572733 DOI: 10.3390/nu14193932] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 09/08/2022] [Accepted: 09/16/2022] [Indexed: 11/17/2022] Open
Abstract
This study aimed to assess whether the advanced characteristics of serum lipoprotein subclasses could better predict the risk of developing diabetic retinopathy (DR) and its severity compared to other established risk factors in subjects with type 1 (T1D) and type 2 (T2D) diabetes. This observational, cross-sectional substudy analyzed DR-related data from 309 T1D and 264 T2D subjects. The advanced lipoprotein and glycoprotein profile was determined by nuclear magnetic resonance (NMR) spectroscopy (Liposcale test). NMR analysis of lipoproteins revealed that T1D subjects with DR showed standard non-HDL particles, despite higher IDL lipid concentrations. Notably, IDL lipids were elevated in T1D subjects with worsened DR. VLDL and LDL were smaller, whereas HDL triglycerides were increased in DR compared with non-DR. On the other hand, the T2D subjects with DR showed altered characteristics in the LDL fraction, mainly revealed by a significant decrease in smaller LDL and a reduction in LDL-C. Moreover, the glycoprotein profile did not reveal significant changes among DR groups, regardless of the type of diabetes. However, lipoprotein characteristics and glycoproteins unveiled by NMR analysis did not improve the predictive value of conventional lipids or other traditional, well-established biomarkers of DR in our cohorts.
Collapse
|
11
|
Cardiovascular Risk Stratification in Diabetic Retinopathy via Atherosclerotic Pathway in COVID-19/non-COVID-19 Frameworks using Artificial Intelligence Paradigm: A Narrative Review. Diagnostics (Basel) 2022; 12:diagnostics12051234. [PMID: 35626389 PMCID: PMC9140106 DOI: 10.3390/diagnostics12051234] [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: 04/14/2022] [Revised: 05/11/2022] [Accepted: 05/11/2022] [Indexed: 11/18/2022] Open
Abstract
Diabetes is one of the main causes of the rising cases of blindness in adults. This microvascular complication of diabetes is termed diabetic retinopathy (DR) and is associated with an expanding risk of cardiovascular events in diabetes patients. DR, in its various forms, is seen to be a powerful indicator of atherosclerosis. Further, the macrovascular complication of diabetes leads to coronary artery disease (CAD). Thus, the timely identification of cardiovascular disease (CVD) complications in DR patients is of utmost importance. Since CAD risk assessment is expensive for low-income countries, it is important to look for surrogate biomarkers for risk stratification of CVD in DR patients. Due to the common genetic makeup between the coronary and carotid arteries, low-cost, high-resolution imaging such as carotid B-mode ultrasound (US) can be used for arterial tissue characterization and risk stratification in DR patients. The advent of artificial intelligence (AI) techniques has facilitated the handling of large cohorts in a big data framework to identify atherosclerotic plaque features in arterial ultrasound. This enables timely CVD risk assessment and risk stratification of patients with DR. Thus, this review focuses on understanding the pathophysiology of DR, retinal and CAD imaging, the role of surrogate markers for CVD, and finally, the CVD risk stratification of DR patients. The review shows a step-by-step cyclic activity of how diabetes and atherosclerotic disease cause DR, leading to the worsening of CVD. We propose a solution to how AI can help in the identification of CVD risk. Lastly, we analyze the role of DR/CVD in the COVID-19 framework.
Collapse
|
12
|
Huang X, He P, Wu L. Clinical Significance of Peptidase M20 Domain Containing 1 Ii Patients with Carotid Atherosclerosis. Arq Bras Cardiol 2022; 119:372-379. [PMID: 35544855 PMCID: PMC9438548 DOI: 10.36660/abc.20210799] [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: 07/16/2021] [Accepted: 12/08/2021] [Indexed: 11/23/2022] Open
Abstract
Fundamento A aterosclerose é a principal causa da maioria das doenças cardiovasculares, e novos biomarcadores para essa condição são sempre necessários. O domínio da peptidase M20 contendo 1 (PM20D1) está associado ao metabolismo lipídico e à obesidade. No entanto, nenhum estudo se concentra no papel do PM20D1 na aterosclerose carotídea. Objetivo O objetivo deste estudo foi investigar o papel do PM20D1 em pacientes com aterosclerose carotídea. Métodos Estudo observacional prospectivo conduzido com um total de 231 pacientes com aterosclerose carotídea que estiveram em nosso departamento entre julho de 2018 e dezembro de 2019. Amostras de sangue e dados médicas foram obtidos de outros 231 indivíduos saudáveis com o mesmo índice de massa corporal (IMC) dos pacientes com aterosclerose carotídea. O PM20D1 sérico foi determinado por ensaio imunossorvente ligado a enzima (ELISA). As características clínicas e demográficas de todos os pacientes foram listadas, incluindo idade, sexo biológico, IMC e histórico médico. Os níveis de proteína C reativa (PCR), fator de necrose tumoral, homocisteína, colesterol total, triglicerídeos, leptina-colesterol de alta densidade e leptina-colesterol de baixa densidade foram registrados. Realizou-se análise estatística no software SPSS, com p<0,05 considerado estatisticamente significante. Resultados Os níveis séricos de PM20D1 foram marcadamente mais baixos em pacientes com aterosclerose carotídea comparados aos controles saudáveis, sendo significativamente mais baixos em pacientes com aterosclerose carotídea grave e pacientes com aterosclerose carotídea/acidente vascular cerebral. Pacientes com placas instáveis apresentaram PM20D1 marcadamente menor quando comparados a pacientes com placas estáveis. Nenhuma diferença significativa foi encontrada entre pacientes com aterosclerose carotídea com diferentes IMC. Pacientes com níveis mais elevados de PM20D1 apresentaram expressão significativamente menor de PCR, fator de necrose tumoral, homocisteína, triglicerídeos, colesterol total e colesterol de baixa densidade. PM20D1 correlacionou-se negativamente com PCR, fator de necrose tumoral, homocisteína, colesterol total e leptina de baixa densidade em pacientes com aterosclerose carotídea, podendo ser usado como biomarcador para pacientes com aterosclerose carotídea grave ou com aterosclerose carotídea e acidente vascular cerebral. Sexo biológico, fator de necrose tumoral, homocisteína e PM20D1 foram considerados fatores de risco para aterosclerose carotídea. Conclusão O PM20D1 estava diminuído em pacientes com aterosclerose carotídea e foi associado com gravidade, estabilidade da placa, níveis de PCR, fator de necrose tumoral, homocisteína, triglicerídeos, colesterol total e colesterol de baixa densidade em pacientes com aterosclerose carotídea.
Collapse
Affiliation(s)
- Xincheng Huang
- Department of the Cardiovascular Medicine, the Fourth People's Hospital of Chengdu, Chengdu, Sichuan - China
| | - Peiyuan He
- Health Management Center, Sichuan Provincial People's Hospital, Chengdu, Sichuan - China
| | - Linling Wu
- Department of the Second Ward of Acute Psychosis, the Fourth People's Hospital of Chengdu, Chengdu, Sichuan - China
| |
Collapse
|
13
|
Puig-Jové C, Castelblanco E, Falguera M, Hernández M, Soldevila B, Julián MT, Teis A, Julve J, Barranco-Altirriba M, Franch-Nadal J, Puig-Domingo M, Ortega E, Amigó N, Alonso N, Mauricio D. Advanced lipoprotein profile in individuals with normal and impaired glucose metabolism. REVISTA ESPANOLA DE CARDIOLOGIA (ENGLISH ED.) 2022; 75:22-30. [PMID: 33785266 DOI: 10.1016/j.rec.2021.02.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 02/18/2021] [Indexed: 12/25/2022]
Abstract
INTRODUCTION AND OBJECTIVES Several types of lipoproteins beyond low-density lipoproteins (LDL) are causally related to cardiovascular disease. We aimed to analyze an advanced lipoprotein profile in individuals with normal and impaired glucose metabolism from different cohorts of a Mediterranean region. METHODS Cross-sectional study in 929 participants (463 normoglycemia, 250 prediabetes, and 216 type 2 diabetes mellitus) with normal renal function, free from cardiovascular disease, and without lipid-lowering treatment. Conventional and advanced (nuclear magnetic resonance [NMR] spectroscopy) lipoprotein profiles were analyzed. RESULTS Compared with men, normoglycemic women showed lower serum triglyceride and LDL cholesterol concentrations, lower total LDL particles (P) as well as their subclasses and their cholesterol and triglyceride content, higher high-density lipoproteins (HDL)-P and all HDL-related variables (P≤ .05 for all comparisons). Compared with normoglycemic participants, diabetic participants showed higher large and small very LDL-P concentrations (P <.05) and lower total HDL-P and medium HDL-P concentrations (P <.05). Waist circumference and Fatty Liver Index were positively associated with a proatherogenic profile. CONCLUSIONS Women had a better advanced lipoprotein profile than did men. Adiposity indexes related to insulin-resistance were positively associated with a proatherogenic lipid profile. NMR revealed altered lipoprotein particles other than LDL in participants with diabetes, frequently associated with an increased cardiovascular risk. Our findings support the usefulness of extended lipoprotein analysis by NMR spectroscopy to uncover new therapeutic targets to prevent cardiovascular events in at-risk participants.
Collapse
Affiliation(s)
- Carlos Puig-Jové
- Servicio de Endocrinología y Nutrición, Hospital Universitario e Instituto de Investigación en Ciencias de la Salud Germans Trias i Pujol, Badalona, Barcelona, Spain
| | - Esmeralda Castelblanco
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Barcelona, Spain; Servicio de Endocrinología y Nutrición, Hospital de la Santa Creu i Sant Pau e Instituto de Investigación Biomédica Sant Pau (IIB Sant Pau), Barcelona, Spain
| | - Mireia Falguera
- Instituto de Investigación Biomédica y Universidad de Lleida, Centro de Atención Primaria Cervera, Gerencia de Atención Primaria, Institut Català de la Salut, Lleida, Spain
| | - Marta Hernández
- Servicio de Endocrinología y Nutrición, Hospital Universitario Arnau de Vilanova e Instituto de Investigación Biomédica de Lleida (IRBLleida), Lleida, Spain
| | - Berta Soldevila
- Servicio de Endocrinología y Nutrición, Hospital Universitario e Instituto de Investigación en Ciencias de la Salud Germans Trias i Pujol, Badalona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Barcelona, Spain
| | - María Teresa Julián
- Servicio de Endocrinología y Nutrición, Hospital Universitario e Instituto de Investigación en Ciencias de la Salud Germans Trias i Pujol, Badalona, Barcelona, Spain
| | - Albert Teis
- Servicio de Cardiología, Institut del Cor (iCor), Hospital Universitario Germans Trias i Pujol, Barcelona, Spain; Departamento de Medicina, Universidad Autónoma de Barcelona (UAB), Barcelona, Spain
| | - Josep Julve
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Barcelona, Spain; Instituto de Investigación Biomédica Sant Pau (IIB Sant Pau), Barcelona, Spain
| | - María Barranco-Altirriba
- Servicio de Endocrinología y Nutrición, Hospital de la Santa Creu i Sant Pau e Instituto de Investigación Biomédica Sant Pau (IIB Sant Pau), Barcelona, Spain
| | - Josep Franch-Nadal
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Barcelona, Spain; DAP-Cat group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Manel Puig-Domingo
- Servicio de Endocrinología y Nutrición, Hospital Universitario e Instituto de Investigación en Ciencias de la Salud Germans Trias i Pujol, Badalona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Barcelona, Spain
| | - Emilio Ortega
- Servicio de Endocrinología y Nutrición, Hospital Cínico de Barcelona, Institut d'investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain; Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain
| | - Núria Amigó
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Barcelona, Spain; Departamento de Ingeniería Electrónica y Automática, Universidad Rovira i Virgili, Instituto de Investigación Sanitaria Pere Virgili (IISPV), Tarragona, Spain
| | - Núria Alonso
- Servicio de Endocrinología y Nutrición, Hospital Universitario e Instituto de Investigación en Ciencias de la Salud Germans Trias i Pujol, Badalona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Barcelona, Spain; Departamento de Medicina, Universidad Autónoma de Barcelona (UAB), Barcelona, Spain.
| | - Didac Mauricio
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Barcelona, Spain; Servicio de Endocrinología y Nutrición, Hospital de la Santa Creu i Sant Pau e Instituto de Investigación Biomédica Sant Pau (IIB Sant Pau), Barcelona, Spain; Facultad de Medicina, Universidad de Vic - Universidad Central de Cataluña (UVic/UCC), Vic, Barcelona, Spain
| |
Collapse
|
14
|
|
15
|
Gubitosi-Klug R, Gao X, Pop-Busui R, de Boer IH, White N, Aiello LP, Miller R, Palmer J, Tamborlane W, Wallia A, Kosiborod M, Lachin JM, Bebu I. Associations of Microvascular Complications With the Risk of Cardiovascular Disease in Type 1 Diabetes. Diabetes Care 2021; 44:1499-1505. [PMID: 33980605 PMCID: PMC8323173 DOI: 10.2337/dc20-3104] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 03/26/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE We examined whether the presence of microvascular complications was associated with increased subsequent risk of cardiovascular disease (CVD) among participants with type 1 diabetes in the Diabetes Control and Complications Trial and Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) study followed for >35 years. RESEARCH DESIGN AND METHODS Standardized longitudinal data collection included: 1) stereoscopic seven-field retinal fundus photography centrally graded for retinopathy stage and clinically significant macular edema; 2) urinary albumin excretion rate (AER) and estimated glomerular filtration rate (eGFR); 3) cardiovascular autonomic neuropathy (CAN) reflex testing; and 4) adjudicated CVD events, including death from CVD, nonfatal myocardial infarction, stroke, subclinical myocardial infarction on electrocardiogram, confirmed angina, or coronary artery revascularization. Cox proportional hazards models assessed the association of microvascular complications with subsequent risk of CVD. RESULTS A total of 239 participants developed CVD, including 120 participants who suffered major adverse cardiovascular events (MACE) defined as nonfatal myocardial infarction, nonfatal stroke, or cardiovascular death. The presence of microvascular disease (diabetic retinopathy, kidney disease, or CAN) was associated with increased risk of subsequent CVD and MACE (hazard ratios 1.86 to 3.18 and 2.09 to 3.63, respectively), associations that remained significant after adjusting for age and HbA1c. After adjustment for traditional CVD risk factors, however, only sustained AER ≥30 mg/24 h occurring alone and/or with eGFR <60 mL/min/1.73 m2 and the presence of both retinal and kidney disease remained associated with CVD. CONCLUSIONS Advanced microvascular disease, especially moderate to severe albuminuria or eGFR <60 mL/min/1.73 m2, conveyed an increased risk of subsequent cardiovascular disease in the DCCT/EDIC cohort.
Collapse
Affiliation(s)
- Rose Gubitosi-Klug
- Pediatric Endocrinology, UH Rainbow Babies and Children's Hospital, Cleveland, OH
| | - Xiaoyu Gao
- Biostatistics Center, Milken Institute School of Public Health, The George Washington University, Rockville, MD
| | - Rodica Pop-Busui
- Division of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, MI
| | - Ian H de Boer
- Division of Nephrology, University of Washington, Seattle, WA
| | - Neill White
- Department of Pediatrics, Washington University School of Medicine in St. Louis, St. Louis, MO
| | | | - Ryan Miller
- Division of Pediatric Endocrinology, University of Maryland, Baltimore, MD
| | - Jerry Palmer
- Division of Metabolism, Endocrinology and Nutrition, University of Washington, Seattle, WA
| | - William Tamborlane
- Department of Pediatrics and Endocrinology, Yale School of Medicine, New Haven, CT
| | - Amisha Wallia
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | | | - John M Lachin
- Biostatistics Center, Milken Institute School of Public Health, The George Washington University, Rockville, MD
| | - Ionut Bebu
- Biostatistics Center, Milken Institute School of Public Health, The George Washington University, Rockville, MD
| | | |
Collapse
|
16
|
Serés-Noriega T, Giménez M, Perea V, Blanco J, Vinagre I, Pané A, Ruiz S, Cofán M, Mesa A, Esmatjes E, Conget I, Ortega E, Amor AJ. Quantification of glycoproteins by nuclear magnetic resonance associated with preclinical carotid atherosclerosis in patients with type 1 diabetes. Nutr Metab Cardiovasc Dis 2021; 31:2099-2108. [PMID: 34039504 DOI: 10.1016/j.numecd.2021.03.021] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Revised: 03/23/2021] [Accepted: 03/23/2021] [Indexed: 12/25/2022]
Abstract
BACKGROUND AND AIMS Glycoproteins play a key role in inflammatory and cardiometabolic processes. Their implication in atherosclerosis in type 1 diabetes (T1D) is unknown. We assessed the relationships between classic inflammatory markers, glycoproteins measured by nuclear magnetic resonance (1H-NMR), and preclinical atherosclerosis in these patients. METHODS AND RESULTS We selected patients with T1D, without cardiovascular disease (CVD), with: age ≥40 years, nephropathy (micro/macroalbuminuria), or ≥10 years of evolution with another risk factor. The presence of plaque (intima-media thickness >1.5 mm) was determined by ultrasonography. Concentrations of high-sensitive C-reactive protein (hsCRP), circulating leukocytes (classical inflammation markers) and 1H-NMR-glycoproteins (GlycA, GlycB, GlycF, and the height/width [H/W] ratios of GlycA and GlycB) were determined. We included 189 patients (58% male, age 47.0 [40.7-55.2] years). Thirty-five percent presented plaques (22%, ≥2 plaques). There was no association between hsCRP or leukocytes and atherosclerosis. However, in age- and sex-adjusted models, GlycA, GlycF, and the H/W ratios of GlycA and GlycB gradually increased with the number of plaques (0, 1, ≥2 plaques) only in patients without statins (p < 0.05), with no association in patients receiving this drug (p for interaction <0.05; in ≥2 plaques). Finally, in models adjusted for other classical and T1D-specific risk factors, GlycA and GlycB H/W ratios remained associated with carotid plaque (OR 1.39 [1.12-1.90] and OR 6.89 [1.85-25.62], respectively). CONCLUSION In T1D individuals without lipid-lowering treatment, 1H-NMR-glycoproteins were independently associated with the presence and amount of carotid atherosclerosis, unlike other classical inflammatory markers. Further studies are needed to ascertain their utility as CVD biomarkers.
Collapse
Affiliation(s)
- Tonet Serés-Noriega
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
| | - Marga Giménez
- Diabetes Unit, Endocrinology and Nutrition Department, Institut d'Investigacions BiomèdiquesAugust 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
| | - Verónica Perea
- Endocrinology and Nutrition Department, Hospital Universitari Mútua de Terrassa, Terrassa, Spain
| | - Jesús Blanco
- Diabetes Unit, Endocrinology and Nutrition Department, Institut d'Investigacions BiomèdiquesAugust 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, Institut d'Investigacions BiomèdiquesAugust Pi i Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Adriana Pané
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
| | - Sabina Ruiz
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
| | - Monserrat Cofán
- Endocrinology and Nutrition Department, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Alex Mesa
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
| | - Enric Esmatjes
- Diabetes Unit, Endocrinology and Nutrition Department, Institut d'Investigacions BiomèdiquesAugust 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, Institut d'Investigacions BiomèdiquesAugust 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
| | - Emilio Ortega
- Endocrinology and Nutrition Department, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
| | - Antonio J Amor
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain.
| |
Collapse
|
17
|
Drinkwater JJ, Chen FK, Brooks AM, Davis BT, Turner AW, Davis TME, Davis WA. The association between carotid disease, arterial stiffness and diabetic retinopathy in type 2 diabetes: the Fremantle Diabetes Study Phase II. Diabet Med 2021; 38:e14407. [PMID: 32961604 DOI: 10.1111/dme.14407] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 08/24/2020] [Accepted: 09/11/2020] [Indexed: 11/30/2022]
Abstract
AIM To determine whether macrovascular disease assessed by carotid ultrasonography and arterial stiffness by pulse wave velocity are independently associated with diabetic retinopathy in type 2 diabetes. METHODS A random subgroup of surviving participants with type 2 diabetes from the Fremantle Diabetes Study Phase II were invited to take part in this sub-study in 2018-2019. In addition to standardized questionnaires, a physical examination and fasting biochemical tests, each underwent dilated colour fundus photography, carotid arterial ultrasonography with measurement of the intima-media thickness (IMT) and quantification of the degree of stenosis, and pulse wave analysis calculation of the carotid-femoral pulse wave velocity (cfPWV). The cross-sectional association between arterial disease parameters and diabetic retinopathy was assessed using generalized estimating equation models which enabled both eyes to be included in the analysis. RESULTS Some 270 participants [mean ± sd age 72 ± 9 years, 153 (57%) men and median (IQR) diabetes duration 15 (11-22) years] were included in analysis. Of 524 assessable eyes, 82 (16%) had diabetic retinopathy. In multivariable analysis, significant independent associates of diabetic retinopathy were age at diabetes diagnosis (inversely), HbA1c , insulin treatment and urinary albumin to creatinine ratio (all P ≤ 0.022), as well as cfPWV [odds ratio (OR) 1.13, 95% confidence interval (CI) 1.03, 1.23 per 1 m/s increase; P = 0.008] and common carotid artery (CCA) IMT ≥1 mm (OR 2.95, 95% CI 1.21, 7.23; P = 0.018). CONCLUSIONS The association between diabetic retinopathy and CCA IMT suggests that carotid disease may share cardiovascular risk factors with diabetic retinopathy. The association between diabetic retinopathy and cfPWV may reflect the consequences of altered intravascular haemodynamics.
Collapse
Affiliation(s)
- J J Drinkwater
- Medical School, The University of Western Australia, Fremantle Hospital, Fremantle, Australia
| | - F K Chen
- Centre for Ophthalmology and Visual Science (incorporating Lions Eye Institute), The University of Western Australia, Nedlands, Australia
- Department of Ophthalmology, Royal Perth Hospital, Perth, Australia
- Department of Ophthalmology, Perth Children's Hospital, Nedlands, Australia
| | - A M Brooks
- Medical School, The University of Western Australia, Fremantle Hospital, Fremantle, Australia
| | - B T Davis
- SKG Radiology, St John of God Hospital, Subiaco, Western Australia, Australia
| | - A W Turner
- Centre for Ophthalmology and Visual Science (incorporating Lions Eye Institute), The University of Western Australia, Nedlands, Australia
| | - T M E Davis
- Medical School, The University of Western Australia, Fremantle Hospital, Fremantle, Australia
| | - W A Davis
- Medical School, The University of Western Australia, Fremantle Hospital, Fremantle, Australia
| |
Collapse
|
18
|
Amor AJ, Vinagre I, Valverde M, Urquizu X, Meler E, López E, Quirós C, Giménez M, Codina L, Conget I, Barahona MJ, Perea V. Nuclear magnetic resonance lipoproteins are associated with carotid atherosclerosis in type 1 diabetes and pre-eclampsia. Diabetes Metab Res Rev 2021; 37:e3362. [PMID: 32515046 DOI: 10.1002/dmrr.3362] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2020] [Revised: 05/22/2020] [Accepted: 05/26/2020] [Indexed: 12/29/2022]
Abstract
AIMS Persistence of lipoprotein abnormalities in type 1 diabetes (T1D) and/or pre-eclampsia could be associated with cardiovascular disease (CVD). We assessed differences in the advanced lipoprotein profiles according to the presence of both conditions and their differential association with atherosclerosis. MATERIAL AND METHODS We recruited 112 women without CVD and last pregnancy ≥5 years previously, divided into four groups (n = 28 per group): (a) T1D and previous pre-eclampsia; (b) T1D without pre-eclampsia; (c) pre-eclampsia without T1D; and (d) controls (without T1D/pre-eclampsia). Groups were matched by several risk factors, and diabetes duration and retinopathy in T1D. Carotid intima-media thickness (IMT) and the presence of plaque (IMT ≥1.5 mm) were assessed by ultrasonography. The lipoprotein profile was evaluated by nuclear magnetic resonance (NMR) spectroscopy. RESULTS The participants were 44.9 ± 7.8 years old. Carotid plaque presence was 20.5%, with a higher prevalence in T1D and/or pre-eclampsia vs controls (P < .05). High-density lipoprotein (HDL)-related variables differed among groups, mainly driven by an increase in T1D (P < .05), whereas triglyceride-related variables were increased in pre-eclampsia [medium very low-density lipoprotein (VLDL) particles and triglyceride enrichment in HDL and low-density lipoprotein (LDL)]. Overall, in multivariate-adjusted models, LDL-related variables were the most strongly associated with atherosclerosis (P < .05). In age- and statin-adjusted models, previous pre-eclampsia showed an independent association with triglyceride-related variables (plaque: medium-VLDL-particles, OR 1.550 [1.013-2.374]; HDL-cholesterol/HDL-triglycerides ratio, OR 0.411 [0.175-0.967]). Regarding T1D, HDL-parameters were also differentially associated (maximum-IMT: HDL-cholesterol/HDL-particles ratio, β = -.258, P = .036). CONCLUSIONS NMR lipoproteins were differentially and independently associated with atherosclerosis in T1D/pre-eclampsia. Further studies are needed to ascertain the role of NMR parameters as CVD biomarkers in this high-risk population.
Collapse
Affiliation(s)
- Antonio J Amor
- Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Irene Vinagre
- Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Maite Valverde
- Endocrinology and Nutrition Department, Hospital Universitari Mútua de Terrassa, Terrassa, Spain
| | - Xavier Urquizu
- Obstetrics and Gynecology Department, Hospital Universitari Mútua de Terrassa, Terrassa, Spain
| | - Eva Meler
- Fetal i+D Fetal Medicine Research Center, BCNatal-Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Déu), IDIBAPS, University of Barcelona, Barcelona, Spain
| | - Eva López
- Obstetrics and Gynecology Department, Hospital Universitari Mútua de Terrassa, Terrassa, Spain
| | - Carmen Quirós
- Endocrinology and Nutrition Department, Hospital Universitari Mútua de Terrassa, Terrassa, Spain
| | - Marga Giménez
- Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Barcelona, Spain
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Laura Codina
- Obstetrics and Gynecology Department, Hospital Universitari Mútua de Terrassa, Terrassa, Spain
| | - Ignacio Conget
- Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Barcelona, Spain
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Maria J Barahona
- Endocrinology and Nutrition Department, Hospital Universitari Mútua de Terrassa, Terrassa, Spain
| | - Verónica Perea
- Endocrinology and Nutrition Department, Hospital Universitari Mútua de Terrassa, Terrassa, Spain
| |
Collapse
|
19
|
Drinkwater JJ, Chen FK, Brooks AM, Davis BT, Turner AW, Davis TME, Davis WA. Carotid Disease and Retinal Optical Coherence Tomography Angiography Parameters in Type 2 Diabetes: The Fremantle Diabetes Study Phase II. Diabetes Care 2020; 43:3034-3041. [PMID: 33055138 DOI: 10.2337/dc20-0370] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Accepted: 09/13/2020] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To use optical coherence tomography angiography (OCTA) to determine whether retinal microvascular parameters are associated with carotid arterial disease in people with type 2 diabetes. RESEARCH DESIGN AND METHODS Participants (community-based) underwent detailed assessments including carotid ultrasonography and OCTA. Ultrasound images were assessed for mean intima-media thickness (IMT) and the presence of stenosis. OCTA image analysis provided measures of vessel density, foveal avascular zone (FAZ) area, blood flow areas, and retinal thickness. For each OCTA variable, the most parsimonious model was generated using generalized estimating equations, then ipsilateral and contralateral carotid disease-related variables were added to determine their significance. RESULTS A total of 474 eyes from 261 participants (mean ± SD age 72.0 ± 9.3 years, 57.1% males, median diabetes duration 15.4 years [interquartile range 11.1-22.4]) were analyzed. When carotid variables were added to the most parsimonious models, the ipsilateral natural logarithm of common carotid artery IMT (coefficient -2.56 [95% CI -4.76, -0.35], P = 0.023) and presence of any ipsilateral stenosis (-0.82 [-1.48, -0.17], P = 0.014) were statistically significantly associated with a lower parafoveal density in the deep capillary plexus. A mean bifurcation IMT ≥1 mm was associated with a decreased vessel density in the 300-μm ring surrounding the FAZ (coefficient -0.79 [-1.50, -0.08], P = 0.030)). Contralateral carotid disease-related variables were also significantly associated with retinal microvascular parameters. CONCLUSIONS This is the first study to show that carotid disease is an independent associate of retinal microvascular disease assessed by OCTA in type 2 diabetes. Appropriately intensive management of carotid disease may improve the retinal microcirculation.
Collapse
Affiliation(s)
- Jocelyn J Drinkwater
- Medical School, The University of Western Australia, Fremantle Hospital, Fremantle, Australia
| | - Fred K Chen
- Lions Eye Institute, Centre for Ophthalmology and Visual Science, The University of Western Australia, Nedlands, Australia.,Department of Ophthalmology, Royal Perth Hospital, Perth, Australia.,Department of Ophthalmology, Perth Children's Hospital, Nedlands, Australia
| | - Alison M Brooks
- Medical School, The University of Western Australia, Fremantle Hospital, Fremantle, Australia
| | | | - Angus W Turner
- Lions Eye Institute, Centre for Ophthalmology and Visual Science, The University of Western Australia, Nedlands, Australia
| | - Timothy M E Davis
- Medical School, The University of Western Australia, Fremantle Hospital, Fremantle, Australia
| | - Wendy A Davis
- Medical School, The University of Western Australia, Fremantle Hospital, Fremantle, Australia
| |
Collapse
|
20
|
Plasín-Rodríguez MA, Patricio P, Monteagudo J, García-Criado A, Cervera R, Reverter JC, Espinosa G, Tàssies D. Procoagulant microparticles are associated with arterial disease in patients with systemic lupus erythematosus. J Thromb Thrombolysis 2020; 52:30-41. [PMID: 33011897 DOI: 10.1007/s11239-020-02295-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/26/2020] [Indexed: 12/11/2022]
Abstract
Microparticles (MPs) have been associated with inflammatory and thrombotic disease. High levels of MPs have been identified in patients with systemic lupus erythematosus (SLE) and associated with cardiovascular disease. We analyzed the procoagulant activity of MPs and its correlation with arteriosclerosis and arterial thrombosis in SLE patients. Eighty-seven patients with SLE were included: 22 (25.3%) with associated antiphospholipid syndrome (APS), 32 (36.8%) without antiphospholipid antibodies (aPL) and 33 (37.9%) with aPL but without APS. Subclinical arteriosclerosis, defined as the presence and number of plaques, was evaluated by ultrasonography of carotid arteries. Thrombotic events were confirmed by objective methods. The procoagulant activity of MPs was determined by a functional assay with annexin V. Subclinical arteriosclerosis was found in 19 (21.8%) patients. Thirteen episodes of arterial thrombosis and eight of venous thrombosis were recorded. The procoagulant activity of MPs was greater in patients with arterial thrombosis (17.28 ± 8.29 nM vs 12.96 ± 7.90 nM, p < 0.05). In patients without arterial thrombosis, greater procoagulant activity of MPs was identified in patients with multiple (≥ 2) carotid plaques (17.26 ± 10.63 nM vs 12.78 ± 7.15 nM, p = 0.04). In the multivariate analysis, the procoagulant activity of MPs was independently associated with multiple (≥ 2) carotid plaques and arterial thrombosis [OR = 1.094 (95%CI 1.010-1.185), p = 0.027 and OR = 1.101 (95%CI 1.025-1.182), p = 0.008; respectively]. In conclusion, the procoagulant activity of MPs is associated with arteriosclerosis burden and arterial thrombosis in patients with SLE.
Collapse
Affiliation(s)
| | - Patricia Patricio
- Department of Autoimmune Diseases, Hospital Clinic, Barcelona, Spain
| | - Joan Monteagudo
- Department of Hemostasis and Hemotherapy, Hospital Clinic, Villarroel 170, 08036, Barcelona, Spain
| | - Angeles García-Criado
- Department of Radiology, Centre de Diagnòstic per la Imatge, Hospital Clinic, Barcelona, Spain
| | - Ricard Cervera
- Department of Autoimmune Diseases, Hospital Clinic, Barcelona, Spain
| | - Joan Carles Reverter
- Department of Hemostasis and Hemotherapy, Hospital Clinic, Villarroel 170, 08036, Barcelona, Spain
| | - Gerard Espinosa
- Department of Autoimmune Diseases, Hospital Clinic, Barcelona, Spain
| | - Dolors Tàssies
- Department of Hemostasis and Hemotherapy, Hospital Clinic, Villarroel 170, 08036, Barcelona, Spain.
| |
Collapse
|
21
|
Pané A, Conget I, Boswell L, Ruiz S, Viñals C, Perea V, Giménez M, Cofán M, Blanco J, Vinagre I, Esmatjes E, Ortega E, Amor AJ. Insulin resistance is associated with preclinical carotid atherosclerosis in patients with type 1 diabetes. Diabetes Metab Res Rev 2020; 36:e3323. [PMID: 32266782 DOI: 10.1002/dmrr.3323] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Revised: 03/24/2020] [Accepted: 03/29/2020] [Indexed: 01/15/2023]
Abstract
AIM Although insulin resistance (IR) is a growing trait among type 1 diabetes (T1D) population, its relationship with atherosclerosis has been scarcely studied. We assessed the association between IR indexes and carotid atherosclerosis in T1D, a population at high cardiovascular disease (CVD) risk. MATERIALS AND METHODS We evaluated 191 participants with T1D and no prior CVD with at least one of the following criteria: ≥40 years old; diabetic nephropathy; or T1D duration ≥10 years harbouring ≥1 additional CVD risk factor. IR was assessed with the metabolic syndrome (MetS) harmonized definition proposed in 2009 and the estimated glucose disposal rate (eGDR), a T1D-specific IR surrogate marker (lower values indicating higher IR). Standardized carotid ultrasonography was performed, recording intima-media thickness (IMT), plaque presence and maximum height of plaque. Comparisons between patients according to their MetS status as well as concerning eGDR values were performed. RESULTS The participants' median age was 47.4 (41.1-53.3) years and diabetes duration 25.7 (21.6-32.5) years. Plaque prevalence was higher in patients with greater IR (49.1%, 29.1% and 20%, P = .001, for any plaque according to decreasing eGDR tertiles). Conversely, no statistically significant higher plaque prevalence was found in participants with MetS. In multivariate analyses (adjusted for general- and T1D-specific risk factors, and statin treatment), MetS was associated with neither IMT nor plaque. On the contrary, eGDR was independently related to ≥2 plaques (P = .018) and maximum plaque height (P < .01). CONCLUSIONS In T1D, IR assessed through eGDR but not by MetS definition was independently associated with plaque burden, a predictor of CVD.
Collapse
Affiliation(s)
- Adriana Pané
- Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
| | - Ignacio Conget
- Endocrinology and Nutrition Department, 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
- Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
| | - Sabina Ruiz
- Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
| | - Clara Viñals
- Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
| | - Verónica Perea
- Endocrinology and Nutrition Department, Hospital Universitari Mútua de Terrassa, Terrassa, Spain
| | - Marga Giménez
- Endocrinology and Nutrition Department, 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
| | - Montserrat Cofán
- Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Jesús Blanco
- Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
| | - Irene Vinagre
- Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
| | - Enric Esmatjes
- Endocrinology and Nutrition Department, 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
| | - Emilio Ortega
- Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Antonio J Amor
- Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| |
Collapse
|
22
|
Viñals C, Conget I, Pané A, Boswell L, Perea V, Blanco AJ, Ruiz S, Giménez M, Vinagre I, Esmatjes E, Ortega E, Amor AJ. Steno type 1 risk engine and preclinical atherosclerosis in Mediterranean individuals with type 1 diabetes. Diabetes Metab Res Rev 2020; 36:e3320. [PMID: 32239693 DOI: 10.1002/dmrr.3320] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Revised: 01/31/2020] [Accepted: 03/18/2020] [Indexed: 01/11/2023]
Abstract
BACKGROUND AND AIMS Tools to detect type 1 diabetes (T1D) individuals at overt cardiovascular disease (CVD) risk are scarce. We aimed to assess the usefulness of the score 'Steno Type 1 Risk Engine' (Steno-Risk) to identify T1D patients with advanced carotid atherosclerosis. MATERIAL AND METHODS T1D patients without CVD with at least one of the following were included: ≥40 years, diabetic nephropathy, or diabetes duration ≥10 years with ≥1 CVD risk factor. Intima-media thickness (IMT) and plaque presence (IMT ≥1.5 mm) were assessed by standardized B-mode ultrasonography. Steno-Risk was used to estimate 10-year risk (<10% low; 10%-20% moderate; ≥20% high risk). Associations between Steno-Risk and preclinical atherosclerosis were assessed after adjusting for other CVD risk factors. RESULTS We evaluated 302 patients (55% men, age 47.8 ± 9.8 years, T1D duration 26.3 ± 9.3 years). The prevalence of carotid plaque and ≥2 plaques were 36.4% and 19.2%, respectively; without sex differences. Age (57.4 ± 7.4 vs 37.1 ± 6.2 years), T1D duration (31.3 ± 10.4 vs 21.5 ± 7.1 years), hypertension (52.3% vs 6.3%), nephropathy (25.6% vs 5.1%) and retinopathy (53.5% vs 32.9%) were higher in high-risk (n = 86) vs low-risk participants (n = 79; P < .001 for all). Preclinical atherosclerosis (IMT and plaque) increased in parallel with Steno-Risk (P < .001). In logistic regression analysis, both age ≥40 years and Steno-Risk ≥20% were associated with the presence of plaque (OR 4.22 [1.57-11.36] and 3.79 [1.61-6.80]; respectively), but only high Steno-Risk remained independently associated with ≥2 plaques (OR 3.31 [1.61-6.80]). CONCLUSION Steno-Risk is independently associated with preclinical atherosclerosis. Further studies are needed to ascertain its usefulness in this high-risk population.
Collapse
Affiliation(s)
- C Viñals
- Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Barcelona, Spain
| | - I Conget
- Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain
- Institut d'investigacions biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - A Pané
- Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Barcelona, Spain
| | - L Boswell
- Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Barcelona, Spain
| | - V Perea
- Endocrinology and Nutrition Department, Hospital Universitari Mútua de Terrassa, Terrassa, Spain
| | - A J Blanco
- Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Barcelona, Spain
- Institut d'investigacions biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - S Ruiz
- Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Barcelona, Spain
| | - M Giménez
- Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain
- Institut d'investigacions biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - I Vinagre
- Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Barcelona, Spain
- Institut d'investigacions biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - E Esmatjes
- Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain
- Institut d'investigacions biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - E Ortega
- Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Barcelona, Spain
- Institut d'investigacions biomèdiques August Pi i Sunyer, Barcelona, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - A J Amor
- Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Barcelona, Spain
| |
Collapse
|
23
|
Amor AJ, Castelblanco E, Hernández M, Gimenez M, Granado-Casas M, Blanco J, Soldevila B, Esmatjes E, Conget I, Alonso N, Ortega E, Mauricio D. Advanced lipoprotein profile disturbances in type 1 diabetes mellitus: a focus on LDL particles. Cardiovasc Diabetol 2020; 19:126. [PMID: 32772924 PMCID: PMC7416413 DOI: 10.1186/s12933-020-01099-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2020] [Accepted: 07/25/2020] [Indexed: 12/12/2022] Open
Abstract
Background Lipoprotein disturbances have been associated with increased cardiovascular disease (CVD) risk in type 1 diabetes mellitus (T1DM). We assessed the advanced lipoprotein profile in T1DM individuals, and analysed differences with non-diabetic counterparts. Methods This cross-sectional study involved 508 adults with T1DM and 347 controls, recruited from institutions in a Mediterranean region of Spain. Conventional and advanced (assessed by nuclear magnetic resonance [NMR] spectroscopy) lipoprotein profiles were analysed. Crude and adjusted (by age, sex, statin use, body mass index and leukocyte count) comparisons were performed. Results The median (interquartile range) age of the study participants was 45 (38–53) years, 48.2% were men. In the T1DM group, the median diabetes duration was 23 (16–31) years, and 8.1% and 40.2% of individuals had nephropathy and retinopathy, respectively. The proportion of participants with hypertension (29.5 vs. 9.2%), and statin use (45.7% vs. 8.1%) was higher in the T1DM vs. controls (p < 0.001). The T1DM group had a better conventional (all parameters, p < 0.001) and NMR-lipid profile than the control group. Thus, T1DM individuals showed lower concentrations of atherogenic lipoproteins (VLDL-particles and LDL-particles) and higher concentrations of anti-atherogenic lipoproteins (HDL-particles) vs. controls, even after adjusting for several confounders (p < 0.001 for all). While non-diabetic women had a more favourable lipid profile than non-diabetic men, women with T1DM had a similar concentration of LDL-particles compared to men with T1DM (1231 [1125–1383] vs. 1257 [1128–1383] nmol/L, p = 0.849), and a similar concentration of small-LDL-particles to non-diabetic women (672.8 [614.2–733.9] vs. 671.2 [593.5–761.4] nmol/L, respectively; p = 0.790). Finally, T1DM individuals showed higher discrepancies between NMR-LDL-particles and conventional LDL-cholesterol than non-diabetic subjects (prevalence of LDL-cholesterol < 100 mg/dL & LDL-particles > 1000 nmol/L: 38 vs. 21.2%; p < 0.001). All these differences were largely unchanged in participants without lipid-lowering drugs (T1DM, n = 275; controls, n = 317). Conclusions Overall, T1DM participants showed a more favourable conventional and NMR-lipid profile than controls. However, the NMR-assessment identified several lipoprotein derangements in LDL-particles among the T1DM population (higher discrepancies in NMR-LDL-particles vs. conventional LDL-cholesterol; a worse profile in T1DM women) that were overlooked in the conventional analysis. Further studies are needed to elucidate their role in the development of CVD in this population.
Collapse
Affiliation(s)
- Antonio J Amor
- Department of Endocrinology & Nutrition, Diabetes Unit, Hospital Clínic de Barcelona, Villarroel, 170, 08036, Barcelona, Spain.,Institut d'investigacions biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - Esmeralda Castelblanco
- Department of Endocrinology & Nutrition, Hospital de la Santa Creu i Sant Pau & Institut d'Investigació Biomédica Sant Pau (IIB Sant Pau), Sant Quintí, 89, 08041, Barcelona, Spain.,Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain.,DAP-Cat Group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), 08006, Barcelona, Spain
| | - Marta Hernández
- Department of Endocrinology & Nutrition, Hospital Arnau de Vilanova & Institut d'Investigació Biomédica de Lleida (IRB Lleida), Lleida, Spain
| | - Marga Gimenez
- Department of Endocrinology & Nutrition, Diabetes Unit, Hospital Clínic de Barcelona, Villarroel, 170, 08036, Barcelona, Spain.,Institut d'investigacions biomèdiques August Pi i Sunyer, Barcelona, Spain.,Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain
| | - Minerva Granado-Casas
- Department of Endocrinology & Nutrition, Hospital de la Santa Creu i Sant Pau & Institut d'Investigació Biomédica Sant Pau (IIB Sant Pau), Sant Quintí, 89, 08041, Barcelona, Spain.,DAP-Cat Group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), 08006, Barcelona, Spain.,Biomedical Research Institute of Lleida & University of Lleida, Lleida, Spain
| | - Jesús Blanco
- Department of Endocrinology & Nutrition, Diabetes Unit, Hospital Clínic de Barcelona, Villarroel, 170, 08036, Barcelona, Spain.,Institut d'investigacions biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - Berta Soldevila
- Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain.,Department of Endocrinology & Nutrition, Health Sciences Research Institute & University Hospital Germans Trias i Pujol, Badalona, Spain
| | - Enric Esmatjes
- Department of Endocrinology & Nutrition, Diabetes Unit, Hospital Clínic de Barcelona, Villarroel, 170, 08036, Barcelona, Spain.,Institut d'investigacions biomèdiques August Pi i Sunyer, Barcelona, Spain.,Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain
| | - Ignacio Conget
- Department of Endocrinology & Nutrition, Diabetes Unit, Hospital Clínic de Barcelona, Villarroel, 170, 08036, Barcelona, Spain.,Institut d'investigacions biomèdiques August Pi i Sunyer, Barcelona, Spain.,Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain
| | - Nuria Alonso
- Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain.,Department of Endocrinology & Nutrition, Health Sciences Research Institute & University Hospital Germans Trias i Pujol, Badalona, Spain
| | - Emilio Ortega
- Department of Endocrinology & Nutrition, Diabetes Unit, Hospital Clínic de Barcelona, Villarroel, 170, 08036, Barcelona, Spain. .,Institut d'investigacions biomèdiques August Pi i Sunyer, Barcelona, Spain. .,Center for Biomedical Research on Pathophysiology of Obesity and Nutrition (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain.
| | - Didac Mauricio
- Department of Endocrinology & Nutrition, Hospital de la Santa Creu i Sant Pau & Institut d'Investigació Biomédica Sant Pau (IIB Sant Pau), Sant Quintí, 89, 08041, Barcelona, Spain. .,Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain. .,Biomedical Research Institute of Lleida & University of Lleida, Lleida, Spain.
| |
Collapse
|
24
|
Castelblanco E, Sanjurjo L, Barranco-Altirriba M, Falguera M, Hernández M, Soldevila B, Sarrias MR, Franch-Nadal J, Arroyo JA, Fernandez-Real JM, Alonso N, Mauricio D. The Circulating Fatty Acid Transporter Soluble CD36 Is Not Associated with Carotid Atherosclerosis in Subjects with Type 1 and Type 2 Diabetes Mellitus. J Clin Med 2020; 9:jcm9061700. [PMID: 32498389 PMCID: PMC7355534 DOI: 10.3390/jcm9061700] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 05/24/2020] [Accepted: 05/29/2020] [Indexed: 12/11/2022] Open
Abstract
This study aimed to determine the association of fatty acid transporter plasma soluble cluster of differentiation 36 (sCD36) with subclinical carotid atherosclerosis (SCA). A cross-sectional study was conducted in 1023 subjects, 225 with type 1 diabetes (T1D), 276 with type 2 diabetes (T2D) and 522 who were nondiabetic. Carotid atherosclerotic plaque (CAP) presence was determined using B-mode carotid ultrasound imaging. sCD36 were analysed by ELISA, and CD36 surface receptor and mRNA expression were measured by flow cytometry and real-time PCR. Logistic regression models were used to evaluate sCD36 as a biomarker of SCA. Up to 376 (36.75%) participants had at least one CAP, 76 T1D, 164 T2D and 136 without diabetes, while the remaining 647 (63.25%) did not have any CAP. There were no differences in sCD36 between patients with and without CAP in T1D (p = 0.287) or T2D (p = 0.513). Although nondiabetic subjects with plaques had lower sCD36 levels than those without (p = 0.023), the multivariate models revealed no association of sCD36 with CAP in any of the three study groups. No differences were found in surface CD36 or CD36 mRNA expression between the patients with and without CAP. sCD36 is not associated with SCA in type 1 or type 2 diabetic or in nondiabetic subjects.
Collapse
Affiliation(s)
- Esmeralda Castelblanco
- Department of Endocrinology & Nutrition, Hospital de la Santa Creu i Sant Pau, IIB Sant Pau, 08041 Barcelona, Spain; (E.C.); (M.B.-A.)
- Centre for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), 08907 Barcelona, Spain; (B.S.); (J.F.-N.)
| | - Lucía Sanjurjo
- Innate Immunity Group, Health Sciences Research Institute Germans Trias i Pujol (IGTP), 08916 Badalona, Spain; (L.S.); (M.-R.S.)
| | - Maria Barranco-Altirriba
- Department of Endocrinology & Nutrition, Hospital de la Santa Creu i Sant Pau, IIB Sant Pau, 08041 Barcelona, Spain; (E.C.); (M.B.-A.)
| | - Mireia Falguera
- Biomedical Research Institute of Lleida, University of Lleida, 25198 Lleida, Spain; (M.F.); (M.H.)
- Primary Health Care Centre Cervera, Gerència d’Atenció Primaria, Institut Català de la Salut, 25200 Cervera, Spain
| | - Marta Hernández
- Biomedical Research Institute of Lleida, University of Lleida, 25198 Lleida, Spain; (M.F.); (M.H.)
- Department of Endocrinology and Nutrition, University Hospital Arnau de Vilanova, IRBLleida, 25198 Lleida, Spain
| | - Berta Soldevila
- Centre for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), 08907 Barcelona, Spain; (B.S.); (J.F.-N.)
- Department of Endocrinology & Nutrition, University Hospital Germans Trias i Pujol, IGTP, 08916 Badalona, Spain
| | - Maria-Rosa Sarrias
- Innate Immunity Group, Health Sciences Research Institute Germans Trias i Pujol (IGTP), 08916 Badalona, Spain; (L.S.); (M.-R.S.)
- Centre for Biomedical Research on Liver and Digestive Diseases (CIBEREHD), 28029 Madrid, Spain
| | - Josep Franch-Nadal
- Centre for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), 08907 Barcelona, Spain; (B.S.); (J.F.-N.)
- DAP-Cat group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), 08007 Barcelona, Spain
| | - Juan Antonio Arroyo
- Department of Internal Medicine, Hypertension and Vascular Risk Unit, Hospital de la Santa Creu i Sant Pau, 08041 Barcelona, Spain;
- Department of Medicine, Autonomous University of Barcelona, 08193 Bellaterra, Spain
| | - José-Manuel Fernandez-Real
- Department of Diabetes, Endocrinology & Nutrition, Hospital Dr Josep Trueta, IDIBGI, 17007 Girona, Spain;
- Centre for Biomedical Research on Physiopathology of Obesity and Nutrition (CIBEROBN), 17007 Girona, Spain
| | - Nuria Alonso
- Centre for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), 08907 Barcelona, Spain; (B.S.); (J.F.-N.)
- Department of Endocrinology and Nutrition, University Hospital Arnau de Vilanova, IRBLleida, 25198 Lleida, Spain
- Department of Medicine, Autonomous University of Barcelona, 08193 Bellaterra, Spain
- Correspondence: (N.A.); (D.M.); Tel.: +34-934-978-860 (N.A.); +34-935-565-661 (D.M.)
| | - Didac Mauricio
- Department of Endocrinology & Nutrition, Hospital de la Santa Creu i Sant Pau, IIB Sant Pau, 08041 Barcelona, Spain; (E.C.); (M.B.-A.)
- Centre for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), 08907 Barcelona, Spain; (B.S.); (J.F.-N.)
- Department of Medicine, Autonomous University of Barcelona, 08193 Bellaterra, Spain
- Correspondence: (N.A.); (D.M.); Tel.: +34-934-978-860 (N.A.); +34-935-565-661 (D.M.)
| |
Collapse
|
25
|
The relationship between carotid disease and retinopathy in diabetes: a systematic review. Cardiovasc Diabetol 2020; 19:54. [PMID: 32375803 PMCID: PMC7201797 DOI: 10.1186/s12933-020-01023-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2020] [Accepted: 04/25/2020] [Indexed: 02/06/2023] Open
Abstract
Background Since studies of the relationship between carotid disease and diabetic retinopathy (DR) have shown apparent inconsistencies, the aim of this study was to conduct a systematic review of available published data. Methods Electronic databases were searched independently by two reviewers, according to an iterative protocol, for relevant articles. The search term used was “diabetes AND (carotid disease OR intima-media OR carotid plaque OR carotid stenosis OR carotid arterial disease OR carotid artery disease OR carotid atherosclerosis) AND (retinopathy OR diabetic retinopathy)”. Results From 477 publications, 14 studies were included. There were differences in the variables used as markers of carotid disease and DR across the included studies. Ten studies used carotid disease as the dependent variable, and the remainder used DR. All but one study involved cross-sectional data. Most studies reported a statistically significant association between at least one parameter of carotid disease as assessed by ultrasound and DR presence or severity. Only four studies reported no significant association. A common limitation was the use of convenience participant sampling. Conclusions There appears to be an increased likelihood of DR when there is ultrasonographic evidence of carotid disease, and vice versa. The available studies suggest that there may be a direct relationship between DR and carotid macrovascular disease and/or that these complications co-exist due to shared risk factors. If carotid disease is detected, retinal assessment should be performed. If DR is identified, intensive cardiovascular disease risk management should be considered. Additional longitudinal studies are needed to assess the directionality of the association.
Collapse
|
26
|
Kan S, Karaibrahimoğlu A. Three noninvasive methods in the evaluation of subclinical cardiovascular disease in patients with diabetic retinopathy: endothelial dysfunction, serum E-selectin level and monocyte to HDL ratio. JOURNAL OF HEALTH SCIENCES AND MEDICINE 2020. [DOI: 10.32322/jhsm.640760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
|
27
|
Drinkwater JJ, Davis TME, Hellbusch V, Turner AW, Bruce DG, Davis WA. Retinopathy predicts stroke but not myocardial infarction in type 2 diabetes: the Fremantle Diabetes Study Phase II. Cardiovasc Diabetol 2020; 19:43. [PMID: 32234054 PMCID: PMC7110810 DOI: 10.1186/s12933-020-01018-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Accepted: 03/19/2020] [Indexed: 12/22/2022] Open
Abstract
Background Microangiopathy in type 2 diabetes (T2D) is associated with cardiovascular disease (CVD), but most relevant studies were performed > 10 years ago. CVD risk factor management has since improved. The aim of this study was to determine whether diabetic retinopathy (DR) and its severity increases stroke and myocardial infarction (MI) risk in a contemporary cohort. Methods Fremantle Diabetes Study Phase II participants with T2D had DR graded from fundus photography at baseline between 2008 and 2011. Subsequent hospitalizations and mortality for MI or stroke were ascertained through validated data linkage to end-2016. Cox regression modelling identified predictors of first stroke and MI including DR presence and severity. Results The 1521 participants with T2D and known DR status (mean age 65.6 years, 52.1% males, median diabetes duration 9.0 years) were followed for a mean of 6.6 years. After excluding those with prior MI/stroke, there were 126 incident MIs among 1393 eligible participants and 53 incident strokes in 1473 eligible participants, respectively. Moderate non-proliferative DR (NPDR) or worse was significantly and independently associated with an increased risk of incident stroke (adjusted hazard ratio 2.55 (95% CI 1.19, 5.47), p = 0.016). Retinopathy presence and severity increased the risk of incident MI in unadjusted models (p ≤ 0.001), but these associations were no longer statistically significant after adjusting for other risk factors. Conclusions Moderate NPDR or worse was associated with an increased risk of first stroke in Australians with T2D. Intensified CVD risk factor management should be considered for patients with at least moderate NPDR.
Collapse
Affiliation(s)
- Jocelyn J Drinkwater
- Medical School, The University of Western Australia, Fremantle Hospital, P. O. Box 480, Fremantle, WA, 6959, Australia
| | - Timothy M E Davis
- Medical School, The University of Western Australia, Fremantle Hospital, P. O. Box 480, Fremantle, WA, 6959, Australia.
| | - Valentina Hellbusch
- Medical School, The University of Western Australia, Fremantle Hospital, P. O. Box 480, Fremantle, WA, 6959, Australia
| | - Angus W Turner
- Lions Eye Institute, Nedlands, WA, Australia.,Centre for Ophthalmology and Visual Science, University of Western Australia, Crawley, WA, Australia
| | - David G Bruce
- Medical School, The University of Western Australia, Fremantle Hospital, P. O. Box 480, Fremantle, WA, 6959, Australia
| | - Wendy A Davis
- Medical School, The University of Western Australia, Fremantle Hospital, P. O. Box 480, Fremantle, WA, 6959, Australia
| |
Collapse
|
28
|
Kan S, Karaibrahimoğlu A. Monocyte to HDL ratio as an indicator of subclinical atherosclerosis in diabetic retinopathy. JOURNAL OF HEALTH SCIENCES AND MEDICINE 2020. [DOI: 10.32322/jhsm.640710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
|
29
|
Garofolo M, Gualdani E, Giannarelli R, Aragona M, Campi F, Lucchesi D, Daniele G, Miccoli R, Francesconi P, Del Prato S, Penno G. Microvascular complications burden (nephropathy, retinopathy and peripheral polyneuropathy) affects risk of major vascular events and all-cause mortality in type 1 diabetes: a 10-year follow-up study. Cardiovasc Diabetol 2019; 18:159. [PMID: 31733651 PMCID: PMC6858978 DOI: 10.1186/s12933-019-0961-7] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Accepted: 11/01/2019] [Indexed: 02/07/2023] Open
Abstract
Background Microvascular complications (MC) have been claimed to increase the risk for cardiovascular disease in diabetic subjects. However, the effect of MC burden on the risk of major vascular outcomes and all-cause mortality in type 1 diabetes is still poorly explored. We evaluated the relationship between microvascular complications burden and incidence of major cardiovascular events and all-cause mortality in subjects with type 1 diabetes. Methods We recruited 774 participants with type 1 diabetes in a single-center observational study over a follow-up of 10.8 ± 2.5 years. Hazard ratios (HR) for cardiovascular outcomes and all-cause death associated with microvascular complications were determined by unadjusted and adjusted Cox regression analysis. Results Out of 774 individuals, 54.9% had no-MC, 32.3% 1 MC, 9.7% 2 MC and 3.1% 3 MC. A total of 54 deaths (7.0%) occurred. Death rate increased from no-MC 2.1% (Ref) to 1 MC 7.2% (HR 3.54 [95% CI 1.59–7.87]), 2 MC 14.7% (HR 6.41 [95% CI 2.65–15.49]) and 3 MC 66.7% (HR 41.73 [95% CI 18.42–94.57], p < 0.0001). After adjustments, HRs were: 1 MC 2.05 (95% CI 0.88–4.76), 2 MC 1.98 (95% CI 0.75–5.21), 3 MC 7.02 (95% CI 2.44–20.20, p = 0.002). Forty-nine subjects (6.7%) had at least one cardiovascular event, and cumulative incidence went from no-MC 2.2% (Ref) to 1 MC 5.0%; (HR 2.27 [95% CI 0.96–5.38]), 2 MC 26.8% (HR 12.88 [95% CI 5.82–28.50]) and 3 MC 40.9% (HR 29.34 [95% CI 11.59–74.25], p < 0.0001). Upon adjustments, HRs were: 1 MC 1.59 (95% CI 0.65–3.88), 2 MC 4.33 (95% CI 1.75–10.74), 3 MC 9.31 (95% CI 3.18–27.25, p < 0.0001). Thirty-five individuals (4.8%) had at least one coronary event, which cumulative incidence increased with MC burden (p < 0.0001). Conclusions In type 1 diabetes, microvascular complications burden increases in an independent dose-dependent manner the risk of major cardiovascular outcomes and all-cause mortality. The presence and number of microvascular complications should be considered in stratifying overall cardiovascular risk in type 1 diabetes.
Collapse
Affiliation(s)
- Monia Garofolo
- Section of Diabetes and Metabolic Disease, Department of Clinical and Experimental Medicine, University of Pisa and Azienda Ospedaliero-Universitaria Pisana, Via Paradisa, 2, 56124, Pisa, Italy
| | - Elisa Gualdani
- Epidemiology Unit, Regional Health Agency (ARS) of Tuscany, Florence, Italy
| | - Rosa Giannarelli
- Section of Diabetes and Metabolic Disease, Department of Clinical and Experimental Medicine, University of Pisa and Azienda Ospedaliero-Universitaria Pisana, Via Paradisa, 2, 56124, Pisa, Italy
| | - Michele Aragona
- Section of Diabetes and Metabolic Disease, Department of Clinical and Experimental Medicine, University of Pisa and Azienda Ospedaliero-Universitaria Pisana, Via Paradisa, 2, 56124, Pisa, Italy
| | - Fabrizio Campi
- Section of Diabetes and Metabolic Disease, Department of Clinical and Experimental Medicine, University of Pisa and Azienda Ospedaliero-Universitaria Pisana, Via Paradisa, 2, 56124, Pisa, Italy
| | - Daniela Lucchesi
- Section of Diabetes and Metabolic Disease, Department of Clinical and Experimental Medicine, University of Pisa and Azienda Ospedaliero-Universitaria Pisana, Via Paradisa, 2, 56124, Pisa, Italy
| | - Giuseppe Daniele
- Section of Diabetes and Metabolic Disease, Department of Clinical and Experimental Medicine, University of Pisa and Azienda Ospedaliero-Universitaria Pisana, Via Paradisa, 2, 56124, Pisa, Italy
| | - Roberto Miccoli
- Section of Diabetes and Metabolic Disease, Department of Clinical and Experimental Medicine, University of Pisa and Azienda Ospedaliero-Universitaria Pisana, Via Paradisa, 2, 56124, Pisa, Italy
| | - Paolo Francesconi
- Epidemiology Unit, Regional Health Agency (ARS) of Tuscany, Florence, Italy
| | - Stefano Del Prato
- Section of Diabetes and Metabolic Disease, Department of Clinical and Experimental Medicine, University of Pisa and Azienda Ospedaliero-Universitaria Pisana, Via Paradisa, 2, 56124, Pisa, Italy.
| | - Giuseppe Penno
- Section of Diabetes and Metabolic Disease, Department of Clinical and Experimental Medicine, University of Pisa and Azienda Ospedaliero-Universitaria Pisana, Via Paradisa, 2, 56124, Pisa, Italy
| |
Collapse
|
30
|
Prevalence and factors associated with statin use in high-risk patients with type 1 diabetes from a specialized diabetes unit. ENDOCRINOL DIAB NUTR 2019; 66:512-519. [DOI: 10.1016/j.endinu.2019.02.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2018] [Revised: 01/24/2019] [Accepted: 02/01/2019] [Indexed: 12/18/2022]
|
31
|
Carbonell M, Alonso N, Castelblanco E, Real J, Ramírez-Morros A, Simó R, Hernández C, Jurjo C, Traveset A, Valldeperas X, Mauricio D. Assessment of Inner Retinal Layers and Choroidal Thickness in Type 1 Diabetes Mellitus: A Cross-Sectional Study. J Clin Med 2019; 8:jcm8091412. [PMID: 31500371 PMCID: PMC6780763 DOI: 10.3390/jcm8091412] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Revised: 08/29/2019] [Accepted: 09/04/2019] [Indexed: 12/13/2022] Open
Abstract
Recent studies have shown that retinal neurodegeneration may precede visible vascular changes in diabetic retinopathy (DR). In addition, the relationship of choroidal thickness (CT) with DR stage is not well defined. To assess the inner retinal and choroidal structural changes in type 1 diabetic subjects (T1D), a cross-sectional study was conducted in 242 T1D patients and in 69 age-matched, non-diabetic individuals. The nasal retinal nerve fibre layer (RNFL) thickness was lower in T1D patients without DR (p < 0.001), with mild DR (p < 0.001), and with advanced DR (p < 0.001) compared to control subjects. The ganglion cell layer (GCL) thickness was lower in T1D patients with advanced DR compared to those with mild DR (p = 0.003) and without DR (p < 0.001) and compared to the control subjects (p < 0.001). T1D subjects with no DR and mild DR had higher CT than the control subjects, but the CT in T1D patients with advanced DR was lower (p = 0.038) than that in T1D subjects with mild DR and was not significantly different from that of the control subjects. In conclusion, T1D subjects showed a significant thinning of the nasal RNFL in the early stages of the disease, even before any vascular changes in the retina. A decrease in the GCL thickness during advanced DR stages was observed. Choroidal thickness was higher in T1D subjects without DR and in early DR stages but decreased in advanced stages.
Collapse
Affiliation(s)
- Marc Carbonell
- Department of Ophthalmology, University Hospital Germans Trias i Pujol, 08916 Badalona, Spain.
- Department of Surgery, Barcelona Autonomous University (UAB), 08035 Barcelona, Spain.
| | - Núria Alonso
- Department of Endocrinology and Nutrition, University Hospital and Health Science Research Institute Germans Trias i Pujol, 08916 Badalona, Spain.
- Centre for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), 08907 Barcelona, Spain.
- Department of Medicine, Barcelona Autonomous University (UAB), 08035 Barcelona, Spain.
| | - Esmeralda Castelblanco
- Centre for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), 08907 Barcelona, Spain.
- Department of Endocrinology & Nutrition, Hospital de la Santa Creu i Sant Pau & Institut d'Investigació Biomèdica Sant Pau (IIB Sant Pau), 08041 Barcelona, Spain.
- DAP-Cat Group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), 08025 Barcelona, Spain.
| | - Jordi Real
- Centre for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), 08907 Barcelona, Spain.
- DAP-Cat Group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), 08025 Barcelona, Spain.
| | - Anna Ramírez-Morros
- Department of Endocrinology and Nutrition, University Hospital and Health Science Research Institute Germans Trias i Pujol, 08916 Badalona, Spain.
| | - Rafael Simó
- Centre for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), 08907 Barcelona, Spain.
- Department of Endocrinology and Nutrition, Hospital Universitari Vall d'Hebron, Diabetes and Metabolism Research Unit, Vall d'Hebron Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, 08035 Barcelona, Catalonia, Spain.
| | - Cristina Hernández
- Centre for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), 08907 Barcelona, Spain.
- Department of Endocrinology and Nutrition, Hospital Universitari Vall d'Hebron, Diabetes and Metabolism Research Unit, Vall d'Hebron Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, 08035 Barcelona, Catalonia, Spain.
| | - Carme Jurjo
- Department of Ophthalmology, University Hospital Arnau de Vilanova, 25198 Lleida, Spain.
- Biomedical Research Institute of Lleida (IRBLleida) & University of Lleida, 25198 Lleida, Spain.
| | - Alícia Traveset
- Department of Ophthalmology, University Hospital Arnau de Vilanova, 25198 Lleida, Spain.
- Biomedical Research Institute of Lleida (IRBLleida) & University of Lleida, 25198 Lleida, Spain.
| | - Xavier Valldeperas
- Department of Ophthalmology, University Hospital Germans Trias i Pujol, 08916 Badalona, Spain.
- Department of Surgery, Barcelona Autonomous University (UAB), 08035 Barcelona, Spain.
| | - Dídac Mauricio
- Centre for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), 08907 Barcelona, Spain.
- Department of Medicine, Barcelona Autonomous University (UAB), 08035 Barcelona, Spain.
- Department of Endocrinology & Nutrition, Hospital de la Santa Creu i Sant Pau & Institut d'Investigació Biomèdica Sant Pau (IIB Sant Pau), 08041 Barcelona, Spain.
- DAP-Cat Group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), 08025 Barcelona, Spain.
- Biomedical Research Institute of Lleida (IRBLleida) & University of Lleida, 25198 Lleida, Spain.
| |
Collapse
|
32
|
Palanca A, Castelblanco E, Betriu À, Perpiñán H, Soldevila B, Valdivielso JM, Bermúdez-Lopez M, Puig-Jové C, Puig-Domingo M, Groop PH, Fernández E, Alonso N, Mauricio D. Subclinical atherosclerosis burden predicts cardiovascular events in individuals with diabetes and chronic kidney disease. Cardiovasc Diabetol 2019; 18:93. [PMID: 31324183 PMCID: PMC6639953 DOI: 10.1186/s12933-019-0897-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Accepted: 07/12/2019] [Indexed: 01/08/2023] Open
Abstract
Background Individuals with diabetes have remarkably high rates of cardiovascular morbidity and mortality. However, the incremental cardiovascular risk in diabetes is heterogeneous and has often been related to renal involvement. The purpose of this study was to analyse the prognostic value of subclinical atherosclerosis in determining the incidence of first cardiovascular events (CVEs) in individuals with diabetes and chronic kidney disease (CKD) compared to CKD individuals without diabetes. Methods We included data from individuals with CKD with and without diabetes, free from pre-existing cardiovascular disease, from the NEFRONA cohort. Participants underwent baseline carotid and femoral ultrasound and were followed up for 4 years. All CVEs during follow-up were registered. Bivariate analysis and Fine–Gray competing risk models were used to perform the statistical analysis. Results During the mean follow-up time of 48 months, a total of 203 CVE was registered. 107 CVE occurred among participants without diabetes (19.58 per 1000 person-years) and 96 CVE occurred among participants with diabetes (44.44 per 1000 person-years). Following the competing risk analysis, the variables predicting CVEs in CKD individuals without diabetes were the number of territories with plaque at baseline (HR 1.862, 95% CI [1.432;2.240]), age (HR 1.026, 95% CI [1.003;1.049]) and serum concentrations of 25-OH vitamin D (HR 0.963, 95% CI [0.933;0.094]). The only variable predicting CVEs among CKD participants with diabetes was the number of territories with plaque at baseline (HR 1.782, 95% CI [1.393, 2.278]). For both models, concordance (C) index yielded was over 0.7. Conclusions The burden of subclinical atherosclerosis is the strongest predictor of future CVEs in diabetic individuals with CKD. Early detection of subclinical atherosclerotic burden by multiterritorial vascular ultrasound could improve CVE prediction in this population. Electronic supplementary material The online version of this article (10.1186/s12933-019-0897-y) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Ana Palanca
- Department of Endocrinology & Nutrition, Health Sciences Research Institute & University Hospital Germans Trias i Pujol, Carretera Canyet S/N, 08916, Badalona, Spain.,Department of Medicine, Barcelona Autonomous University (UAB), Barcelona, Spain
| | - Esmeralda Castelblanco
- Department of Endocrinology & Nutrition, Hospital de la Santa Creu i Sant Pau & Institut d'Investigació Biomédica Sant Pau (IIB Sant Pau), Sant Quintí, 89, 08041, Barcelona, Spain.,Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Barcelona, Spain
| | - Àngels Betriu
- Vascular and Renal Translational Research Group, Institut de Recerca Biomèdica de Lleida, Lleida, Spain
| | - Hèctor Perpiñán
- Biostatistics Unit, Institut de Recerca Biomèdica de Lleida, Lleida, Spain
| | - Berta Soldevila
- Department of Endocrinology & Nutrition, Health Sciences Research Institute & University Hospital Germans Trias i Pujol, Carretera Canyet S/N, 08916, Badalona, Spain.,Department of Medicine, Barcelona Autonomous University (UAB), Barcelona, Spain.,Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Barcelona, Spain
| | - José Manuel Valdivielso
- Vascular and Renal Translational Research Group, Institut de Recerca Biomèdica de Lleida, Lleida, Spain
| | - Marcelino Bermúdez-Lopez
- Vascular and Renal Translational Research Group, Institut de Recerca Biomèdica de Lleida, Lleida, Spain
| | - Carlos Puig-Jové
- Department of Endocrinology & Nutrition, Health Sciences Research Institute & University Hospital Germans Trias i Pujol, Carretera Canyet S/N, 08916, Badalona, Spain
| | - Manel Puig-Domingo
- Department of Endocrinology & Nutrition, Health Sciences Research Institute & University Hospital Germans Trias i Pujol, Carretera Canyet S/N, 08916, Badalona, Spain.,Department of Medicine, Barcelona Autonomous University (UAB), Barcelona, Spain
| | - Per-Henrik Groop
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland.,Abdominal Center Nephrology, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland.,Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland.,Department of Diabetes, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Elvira Fernández
- Vascular and Renal Translational Research Group, Institut de Recerca Biomèdica de Lleida, Lleida, Spain
| | - Núria Alonso
- Department of Endocrinology & Nutrition, Health Sciences Research Institute & University Hospital Germans Trias i Pujol, Carretera Canyet S/N, 08916, Badalona, Spain. .,Department of Medicine, Barcelona Autonomous University (UAB), Barcelona, Spain. .,Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Barcelona, Spain.
| | - Didac Mauricio
- Department of Medicine, Barcelona Autonomous University (UAB), Barcelona, Spain. .,Department of Endocrinology & Nutrition, Hospital de la Santa Creu i Sant Pau & Institut d'Investigació Biomédica Sant Pau (IIB Sant Pau), Sant Quintí, 89, 08041, Barcelona, Spain. .,Center for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), Barcelona, Spain.
| |
Collapse
|
33
|
Hägg-Holmberg S, Dahlström EH, Forsblom CM, Harjutsalo V, Liebkind R, Putaala J, Tatlisumak T, Groop PH, Thorn LM. The role of blood pressure in risk of ischemic and hemorrhagic stroke in type 1 diabetes. Cardiovasc Diabetol 2019; 18:88. [PMID: 31288813 PMCID: PMC6617855 DOI: 10.1186/s12933-019-0891-4] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2019] [Accepted: 06/25/2019] [Indexed: 12/23/2022] Open
Abstract
Background Hypertension is one of the strongest risk factors for stroke in the general population, while systolic blood pressure has been shown to independently increase the risk of stroke in type 1 diabetes. The aim of this study was to elucidate the association between different blood pressure variables and risk of stroke in type 1 diabetes, and to explore potential nonlinearity of this relationship. Methods We included 4105 individuals with type 1 diabetes without stroke at baseline, participating in the nationwide Finnish Diabetic Nephropathy Study. Mean age at baseline was 37.4 ± 11.9 years, median duration of diabetes 20.9 (interquartile range 11.5–30.4) years, and 52% were men. Office systolic blood pressure (SBP) and diastolic blood pressure (DBP) were measured. Based on these pulse pressure (PP) and mean arterial pressure (MAP) were calculated. Strokes were classified based on medical and autopsy records, as well as neuroimaging. Cox proportional hazard models were performed to study how the different blood pressure variables affected the risk of stroke and its subtypes. Results During median follow-up time of 11.9 (9.21–13.9) years, 202 (5%) individuals suffered an incident stroke; 145 (72%) were ischemic and 57 (28%) hemorrhagic. SBP, DBP, PP, and MAP all independently increased the risk of any stroke. SBP, PP, and MAP increased the risk of ischemic stroke, while SBP, DBP, and MAP increased the risk of hemorrhagic stroke. SBP was strongly associated with stroke with a hazard ratio of 1.20 (1.11–1.29)/10 mmHg. When variables were modeled using restricted cubic splines, the risk of stroke increased linearly for SBP, MAP, and PP, and non-linearly for DBP. Conclusions The different blood pressure variables are all independently associated with increased risk of stroke in individuals with type 1 diabetes. The risk of stroke, ischemic stroke, and hemorrhagic stroke increases linearly at blood pressure levels less than the current recommended treatment guidelines. Electronic supplementary material The online version of this article (10.1186/s12933-019-0891-4) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Stefanie Hägg-Holmberg
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Biomedicum Helsinki, Haartmaninkatu 8, 00290, Helsinki, Finland.,Abdominal Center Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Emma H Dahlström
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Biomedicum Helsinki, Haartmaninkatu 8, 00290, Helsinki, Finland.,Abdominal Center Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Carol M Forsblom
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Biomedicum Helsinki, Haartmaninkatu 8, 00290, Helsinki, Finland.,Abdominal Center Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Valma Harjutsalo
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Biomedicum Helsinki, Haartmaninkatu 8, 00290, Helsinki, Finland.,Abdominal Center Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Ron Liebkind
- Department of Neurology, Helsinki University Hospital, Helsinki, Finland
| | - Jukka Putaala
- Department of Neurology, Helsinki University Hospital, Helsinki, Finland
| | - Turgut Tatlisumak
- Department of Neurology, Helsinki University Hospital, Helsinki, Finland.,Department of Clinical Neuroscience/Neurology, Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, Göteborg, Sweden.,Department of Neurology, Sahlgrenska University Hospital, Göteborg, Sweden
| | - Per-Henrik Groop
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Biomedicum Helsinki, Haartmaninkatu 8, 00290, Helsinki, Finland. .,Abdominal Center Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland. .,Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland. .,Department of Diabetes, Central Clinical School, Monash University, Melbourne, VIC, Australia.
| | - Lena M Thorn
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Biomedicum Helsinki, Haartmaninkatu 8, 00290, Helsinki, Finland.,Abdominal Center Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland.,Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
| | | |
Collapse
|
34
|
Castelblanco E, Sanjurjo L, Falguera M, Hernández M, Fernandez-Real JM, Sarrias MR, Alonso N, Mauricio D. Circulating Soluble CD36 is Similar in Type 1 and Type 2 Diabetes Mellitus versus Non-Diabetic Subjects. J Clin Med 2019; 8:jcm8050710. [PMID: 31109109 PMCID: PMC6571689 DOI: 10.3390/jcm8050710] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Revised: 05/05/2019] [Accepted: 05/16/2019] [Indexed: 01/11/2023] Open
Abstract
The aim of this study was to determine whether plasma concentrations of sCD36 (soluble CD36) are associated with the presence of type 1 or type 2 diabetes. Plasma levels of sCD36 were analysed in 1023 subjects (225 type 1 diabetes (T1D) patients, 276 type 2 diabetes (T2D) patients, and 522 non-diabetic control subjects) using an enzyme-linked immunosorbent assay (ELISA). Multinomial and logistic regression models were performed to evaluate associations with sCD36 and its association with diabetes types. There were no significant differences in sCD36 (p = 0.144) among study groups, neither in head-to-head comparisons: non-diabetic versus T1D subjects (p = 0.180), non-diabetic versus T2D subjects (p = 0.583), and T1D versus T2D patients (p = 0.151). In the multinomial model, lower sCD36 concentrations were associated with older age (p < 0.001), tobacco exposure (p = 0.006), T2D (p = 0.020), and a higher-platelets count (p = 0.004). However, in logistic regression models of diabetes, sCD36 showed only a weak association with T2D. The current findings show a weak association of circulating sCD36 with type 2 diabetes and no association with T1D.
Collapse
Affiliation(s)
- Esmeralda Castelblanco
- Department of Endocrinology & Nutrition, University, Hospital de la Santa Creu i Sant Pau & Institut d'Investigació Biomèdica Sant Pau (IIB Sant Pau), 08041 Barcelona, Spain.
- Centre for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), 08907 Barcelona, Spain.
| | - Lucía Sanjurjo
- Innate Immunity Group, Health Sciences Research Institute Germans Trias i Pujol, 08916 Badalona, Spain.
| | - Mireia Falguera
- Primary Health Care Cervera, Gerència d'Atenció Primaria, Institut Català de la Salut, Unitat de Suport a la Recerca, Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), 25200 Cervera, Spain.
- Biomedical Research Institute of Lleida (IRBLleida) & University of Lleida, 25198 Lleida, Spain.
| | - Marta Hernández
- Department of Endocrinology & Nutrition, University Hospital Arnau de Vilanova & Biomedical Research Institute of Lleida (IRBLleida), 25198 Lleida, Spain.
| | - José-Manuel Fernandez-Real
- Department of Diabetes, Endocrinology & Nutrition, Hospital Dr Josep Trueta & Biomedical Research Institute of Girona (IDIBGI), 17007 Girona, Spain.
- Centre for Biomedical Research on Physiopathology of Obesity and Nutrition (CIBEROBN), 17007 Girona, Spain.
| | - Maria-Rosa Sarrias
- Innate Immunity Group, Health Sciences Research Institute Germans Trias i Pujol, 08916 Badalona, Spain.
- Centre for Biomedical Research on Liver and Digestive Diseases (CIBEREHD), 28029 Madrid, Spain.
| | - Nuria Alonso
- Centre for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), 08907 Barcelona, Spain.
- Department of Endocrinology & Nutrition, University Hospital Germans Trias i Pujol & Health Sciences Research Institute, 08916 Badalona, Spain.
| | - Didac Mauricio
- Department of Endocrinology & Nutrition, University, Hospital de la Santa Creu i Sant Pau & Institut d'Investigació Biomèdica Sant Pau (IIB Sant Pau), 08041 Barcelona, Spain.
- Centre for Biomedical Research on Diabetes and Associated Metabolic Diseases (CIBERDEM), 08907 Barcelona, Spain.
- Biomedical Research Institute of Lleida (IRBLleida) & University of Lleida, 25198 Lleida, Spain.
| |
Collapse
|
35
|
Ultrasound Tissue Characterization of Carotid Plaques Differs Between Patients with Type 1 Diabetes and Subjects without Diabetes. J Clin Med 2019; 8:jcm8040424. [PMID: 30925670 PMCID: PMC6518191 DOI: 10.3390/jcm8040424] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Accepted: 03/22/2019] [Indexed: 01/13/2023] Open
Abstract
The aim of the study was to investigate ultrasound tissue characterization of carotid plaques in subjects with and without diabetes type 1 (T1D). B-mode carotid ultrasound was performed to assess the presence and type of plaque in a group of 340 subjects with and 304 without T1D, all of them without cardiovascular disease. One hundred and seven patients with T1D (49.5% women; age 54 ± 9.8 years) and 67 control subjects without diabetes who had at least one carotid plaque were included in the study. The proportion of subjects who had only echolucent plaques was reduced in the group of patients with T1D (48.6% vs. 73.1%). In contrast, the proportion with only echogenic (25.2% vs. 7.5%) and calcified plaques (9.4% vs. 1.5%) was increased compared with subjects without diabetes. Moreover, having at least one echogenic plaque was more frequent in T1D patients compared with subjects without diabetes (49.5% vs. 26.9% p = 0.005). In addition to diabetes (OR 2.28; p = 0.026), age (OR 1.06, p = 0.002) was the other variable associated with echogenic plaque existence in multiple regression analysis. Patients with T1D exhibit a differential pattern of carotid plaque type compared with subjects without diabetes, with an increased frequency of echogenic and extensively calcified plaques.
Collapse
|
36
|
Cardoso CRL, Salles GC, Leite NC, Salles GF. Prognostic impact of carotid intima-media thickness and carotid plaques on the development of micro- and macrovascular complications in individuals with type 2 diabetes: the Rio de Janeiro type 2 diabetes cohort study. Cardiovasc Diabetol 2019; 18:2. [PMID: 30630491 PMCID: PMC6327523 DOI: 10.1186/s12933-019-0809-1] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2018] [Accepted: 01/03/2019] [Indexed: 12/18/2022] Open
Abstract
Background The prognostic importance of carotid atherosclerosis in individuals with diabetes is unsettled. We aimed to evaluate the relationships between parameters of carotid atherosclerosis and the future occurrence of micro- and cardiovascular complications in individuals with type 2 diabetes. Methods Ultrasonographic parameters of carotid atherosclerosis, intima-media thickness (CIMT) and plaques, were measured at baseline in 478 participants who were followed-up for a median of 10.8 years. Multivariate Cox analysis was used to examine the associations between carotid parameters and the occurrence of microvascular (retinopathy, renal, and peripheral neuropathy) and cardiovascular complications (total cardiovascular events [CVEs] and cardiovascular mortality), and all-cause mortality. The improvement in risk stratification was assessed by using the C-statistic and the integrated discrimination improvement (IDI) index. Results During follow-up, 116 individuals had a CVE and 115 individuals died (56 from cardiovascular diseases); 131 newly-developed or worsened diabetic retinopathy, 156 achieved the renal composite outcome (94 newly developed microalbuminuria and 78 deteriorated renal function), and 83 newly-developed or worsened peripheral neuropathy. CIMT, either analysed as a continuous or as a categorical variable, and presence of plaques predicted CVEs occurrence and renal outcomes, but not mortality or other microvascular complications. Individuals with an increased CIMT and plaques had a 1.5- to 1.8-fold increased risk of CVEs and a 1.6-fold higher risk of renal outcome. CIMT and plaques modestly improved cardiovascular risk discrimination over classic risk factors, with IDIs ranging from 7.8 to 8.4%; but more markedly improved renal risk discrimination, with IDIs from 14.8 to 18.5%. Conclusions Carotid atherosclerosis parameters predicted cardiovascular and renal outcomes, and improved renal risk stratification. Ultrasonographic carotid imaging may be useful in type 2 diabetes management.
Collapse
Affiliation(s)
- Claudia R L Cardoso
- Department of Internal Medicine, School of Medicine, University Hospital Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rua Rodolpho Rocco, 255, Cidade Universitária, Rio de Janeiro, CEP 21941-913, Brazil
| | - Guilherme C Salles
- Civil Engineering Program, COPPE, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Nathalie C Leite
- Department of Internal Medicine, School of Medicine, University Hospital Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rua Rodolpho Rocco, 255, Cidade Universitária, Rio de Janeiro, CEP 21941-913, Brazil
| | - Gil F Salles
- Department of Internal Medicine, School of Medicine, University Hospital Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rua Rodolpho Rocco, 255, Cidade Universitária, Rio de Janeiro, CEP 21941-913, Brazil.
| |
Collapse
|