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Neutel CH, van der Laan KW, Wesley CD, Krüger DN, Pencheva MG, Schalkwijk CG, De Meyer GR, Martinet W, Delhaas T, Reesink KD, Giudici A, Guns PJ, Spronck B. The MAASWERP Study: An International, Comparative Case Study on Measuring Biomechanics of the Aged Murine Aorta. Pulse (Basel) 2025; 13:1-10. [PMID: 39720101 PMCID: PMC11666261 DOI: 10.1159/000542694] [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: 09/04/2024] [Accepted: 11/15/2024] [Indexed: 12/26/2024] Open
Abstract
Introduction Arterial stiffening is a hallmark of vascular ageing, and unravelling its underlying mechanisms has become a central theme in the field of cardiovascular disease. While various techniques and experimental setups are accessible for investigating biomechanics of blood vessels both in vivo and ex vivo, comparing findings across diverse methodologies is challenging. Methods Arterial stiffness in the aorta of adult (5 months) and aged (24 months) wild-type C57Bl/6J mice was measured in vivo, after which ex vivo biomechanical evaluation was performed using the Rodent Oscillatory Tension Setup to study Arterial Compliance (ROTSAC; University of Antwerp, Belgium) and the DynamX setup (Maastricht University, The Netherlands). Stiffness of aortic tissue was measured in both absence and presence of activated smooth muscle cells (i.e., contraction). Measurements in both setups were conducted in parallel with matched protocols and identical buffers and chemicals. Results Overall, both methods revealed age-related increased aortic stiffness, although parameters of aortic mechanics showed different numerical values, suggesting that results are not directly interchangeable between methods. Surprisingly, smooth muscle cell contraction had opposing effects between the setups. Indeed, smooth muscle cell contraction increased arterial stiffness in the ROTSAC but decreased stiffness in the DynamX. These opposing effects could be attributed to how the two setups differentially load the collagen fibres in the arterial wall, ex vivo. Conclusion Overall, this study provided critical insights into how different experimental setups can influence the interpretation of aortic biomechanics, emphasizing the need for careful consideration and contextualization of results based on the methodology used.
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Affiliation(s)
- Cédric H.G. Neutel
- Laboratory of Physiopharmacology, University of Antwerp, Campus Drie Eiken, Antwerp, Belgium
| | - Koen W.F. van der Laan
- Department of Biomedical Engineering, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
| | - Callan D. Wesley
- Laboratory of Physiopharmacology, University of Antwerp, Campus Drie Eiken, Antwerp, Belgium
| | - Dustin N. Krüger
- Laboratory of Physiopharmacology, University of Antwerp, Campus Drie Eiken, Antwerp, Belgium
| | - Margarita G. Pencheva
- Department of Biomedical Engineering, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
- Department of Internal Medicine, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
| | - Casper G. Schalkwijk
- Department of Internal Medicine, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
| | - Guido R.Y. De Meyer
- Laboratory of Physiopharmacology, University of Antwerp, Campus Drie Eiken, Antwerp, Belgium
| | - Wim Martinet
- Laboratory of Physiopharmacology, University of Antwerp, Campus Drie Eiken, Antwerp, Belgium
| | - Tammo Delhaas
- Department of Biomedical Engineering, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
| | - Koen D. Reesink
- Department of Biomedical Engineering, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
| | - Alessandro Giudici
- Department of Biomedical Engineering, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
- GROW Institute for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
| | - Pieter-Jan Guns
- Laboratory of Physiopharmacology, University of Antwerp, Campus Drie Eiken, Antwerp, Belgium
| | - Bart Spronck
- Department of Biomedical Engineering, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
- Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
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Suwannasom P, Thonghong T, Leemasawat K, Nantsupawat T, Prasertwitayakij N, Pairoj C, Wongcharoen W, Phrommintikul A, CORE‐Thailand Investigators. Predictive value of Systematic Coronary Risk Evaluation 2-Diabetes risk model and arterial stiffness for cardiovascular events in the Asian population with type 2 diabetes mellitus. J Diabetes Investig 2024; 15:1266-1275. [PMID: 38747805 PMCID: PMC11363117 DOI: 10.1111/jdi.14231] [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: 01/02/2024] [Revised: 04/09/2024] [Accepted: 04/30/2024] [Indexed: 08/31/2024] Open
Abstract
AIMS/INTRODUCTION Individuals with diabetes are at high risk of developing cardiovascular events. The present study investigated the predictive value of the cardio-ankle vascular index (CAVI) when added to the Systematic Coronary Risk Evaluation 2-Diabetes (SCORE2-Diabetes) risk algorithm to predict cardiovascular events in the Asian population. MATERIALS AND METHODS The SCORE2-Diabetes risk was assessed in 1,502 patients with diabetes, aged 40-69 years. Then, we further stratified each 10-year risk category with a CAVI value of 9.0. The primary outcomes (composite of all causes of death, myocardial infarction, stroke and hospitalization for heart failure) were assessed over 5 years. RESULTS The mean age of the population was 59.8 ± 6.4 years. The proportion of 10-year risk according to the SCORE2-Diabetes risk of low, moderate, high and very high risk identified at 7.2, 30.0, 27.2 and 35.6%, respectively. The mean CAVI value was 8.4 ± 1.4, and approximately 35.4% of the patients had CAVI ≥9.0. The SCORE2-Diabetes risk algorithm independently predicted the primary outcomes in patients with diabetes (hazard ratio 1.18, 95% confidence interval [CI] 1.13-1.22), whereas CAVI did not (hazard ratio 1.03, 95% CI 0.89-1.18). The C-index for the primary outcomes of the SCORE2-Diabetes risk algorithm alone was 0.72 (95% CI 0.67-0.77). The combination of SCORE2-Diabetes and CAVI, both in the continuous value and risk groups, did not improve discrimination (C-index 0.72, 95% CI 0.67-0.77 and 0.68, 95% CI 0.64-0.74, respectively). CONCLUSIONS Adding the CAVI to the SCORE2-Diabetes risk algorithm did not improve individual risk stratification in patients with diabetes.
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Affiliation(s)
- Pannipa Suwannasom
- Division of Cardiology, Department of Internal Medicine, Faculty of MedicineChiang Mai UniversityChiang MaiThailand
| | - Tasalak Thonghong
- Division of Cardiology, Department of Internal Medicine, Faculty of MedicineChiang Mai UniversityChiang MaiThailand
| | - Krit Leemasawat
- Division of Cardiology, Department of Internal Medicine, Faculty of MedicineChiang Mai UniversityChiang MaiThailand
| | - Teerapat Nantsupawat
- Division of Cardiology, Department of Internal Medicine, Faculty of MedicineChiang Mai UniversityChiang MaiThailand
| | - Narawudt Prasertwitayakij
- Division of Cardiology, Department of Internal Medicine, Faculty of MedicineChiang Mai UniversityChiang MaiThailand
| | - Chutamas Pairoj
- Division of Cardiology, Department of Internal Medicine, Faculty of MedicineChiang Mai UniversityChiang MaiThailand
| | - Wanwarang Wongcharoen
- Division of Cardiology, Department of Internal Medicine, Faculty of MedicineChiang Mai UniversityChiang MaiThailand
| | - Arintaya Phrommintikul
- Division of Cardiology, Department of Internal Medicine, Faculty of MedicineChiang Mai UniversityChiang MaiThailand
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Xuereb RA, Magri CJ, Xuereb RG. Arterial Stiffness and its Impact on Cardiovascular Health. Curr Cardiol Rep 2023; 25:1337-1349. [PMID: 37676581 DOI: 10.1007/s11886-023-01951-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/25/2023] [Indexed: 09/08/2023]
Abstract
PURPOSE OF REVIEW Cardiovascular diseases are the leading cause of mortality globally. Identifying patients at risk is important to initiate preventive strategies. Over the last few decades, the role of the endothelium and its impact on arterial stiffness have been recognised as playing a pivotal role in cardiovascular disease. This review will focus on the effect of arterial stiffness in different patient cohorts with regard to cardiovascular morbidity and mortality, as well as its use in clinical practice. RECENT FINDINGS Arterial stiffness is associated with a range of cardiovascular risk factors and is an independent predictor of cardiovascular mortality. The gold standard for evaluating arterial stiffness is pulse wave velocity. Recently, cardio-ankle vascular index has been implemented as an easy and highly reproducible measure of arterial stiffness. Moreover, certain pharmacologic agents may modify arterial stiffness and alter progression of cardiovascular disease. The endothelium plays an important role in cardiovascular disease. Implementing assessment of arterial stiffness in clinical practice will improve stratification of patients at risk of cardiovascular disease and help modify disease progression.
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Affiliation(s)
| | - Caroline J Magri
- Department of Cardiology, Mater Dei Hospital, Msida, Malta
- University of Malta, Msida, Malta
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Park JB, Avolio A. Arteriosclerosis and Atherosclerosis Assessment in Clinical Practice: Methods and Significance. Pulse (Basel) 2023; 11:1-8. [PMID: 37404379 PMCID: PMC10315159 DOI: 10.1159/000530616] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 03/24/2023] [Indexed: 07/06/2023] Open
Abstract
Alongside cancer, cardiovascular disease (CVD) exhibits the highest rates of morbidity and mortality globally, in western society as well as in Asian countries. Aging is a serious problem for the Asian population as progression toward a super-aged society is moving at a remarkably high rate. This increased rate of aging leads to increased CVD risk and, consequently, high CVD incidence. However, aging is not the only deleterious factor of vascular problems; hypertension, hypercholesterolemia, diabetes mellitus, and kidney disease may induce atherosclerosis and arteriosclerosis (i.e., arterial stiffening), and the progression of these diseases ultimately leads to cardiovascular, cerebrovascular, chronic kidney, or peripheral artery disease. Despite the existence of several guidelines on the treatment of risk factors such as hypertension and CVD, there is still an ongoing debate regarding the clinical need for assessment of arteriosclerosis and atherosclerosis, which act as a bridge between cardiovascular risk factors and CVD. In other words, although arteriosclerosis and atherosclerosis are essential to our understanding of vascular diseases, the need for additional tests beyond the conventional diagnosis method remains disputed. This is presumably due to insufficient discussion on how to apply such tests in clinical practice. This study aimed to fill this gap.
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Affiliation(s)
- Jeong Bae Park
- JB Lab and Clinic and Department of Precision Medicine and Biostatistics, Yonsei University, Wonju College of Medicine, Seoul, Republic of Korea
| | - Alberto Avolio
- Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
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