Wall Shear Stress (WSS) Analysis in Atherosclerosis in Partial Ligated Apolipoprotein E Knockout Mouse Model through Computational Fluid Dynamics (CFD)

被引:0
|
作者
Cho, Minju [1 ]
Hwang, Joon Seup [1 ]
Kim, Kyeong Ryeol [1 ]
Kim, Jun Ki [1 ,2 ]
机构
[1] Univ Ulsan, Coll Med, Dept Convergence Med, Brain Korea Project 21, Seoul 05505, South Korea
[2] Asan Med Ctr, Asan Inst Life Sci, Biomed Engn Res Ctr, Seoul 05505, South Korea
基金
新加坡国家研究基金会;
关键词
atherosclerosis; plaque formation; computational fluid dynamics (CFD); wall shear stress (WSS); ApoE-KO mice; standard deviation; ENDOTHELIAL-CELLS; BLOOD-FLOW; INFLAMMATION; MECHANISMS; ARTERIES; RISK;
D O I
10.3390/ijms25189877
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Atherosclerosis involves an inflammatory response due to plaque formation within the arteries, which can lead to ischemic stroke and heart disease. It is one of the leading causes of death worldwide, with various contributing factors such as hyperlipidemia, hypertension, obesity, diabetes, and smoking. Wall shear stress (WSS) is also known as a contributing factor of the formation of atherosclerotic plaques. Since the causes of atherosclerosis cannot be attributed to a single factor, clearly understanding the mechanisms and causes of its occurrence is crucial for preventing the disease and developing effective treatment strategies. To better understand atherosclerosis and define the correlation between various contributing factors, computational fluid dynamics (CFD) analysis is primarily used. CFD simulates WSS, the frictional force caused by blood flow on the vessel wall with various hemodynamic changes. Using apolipoprotein E knockout (ApoE-KO) mice subjected to partial ligation and a high-fat diet at 1-week, 2-week, and 4-week intervals as an atherosclerosis model, CFD analysis was conducted along with the reconstruction of carotid artery blood flow via magnetic resonance imaging (MRI) and compared to the inflammatory factors and pathological staining. In this experiment, a comparative analysis of the effects of high WSS and low WSS was conducted by comparing the standard deviation of time-averaged wall shear stress (TAWSS) at each point within the vessel wall. As a novel approach, the standard deviation of TAWSS within the vessel was analyzed with the staining results and pathological features. Since the onset of atherosclerosis cannot be explained by a single factor, the aim was to find the correlation between the thickness of atherosclerotic plaques and inflammatory factors through standard deviation analysis. As a result, the gap between low WSS and high WSS widened as the interval between weeks in the atherosclerosis mouse model increased. This finding not only linked the occurrence of atherosclerosis to WSS differences but also provided a connection to the causes of vulnerable plaques.
引用
收藏
页数:14
相关论文
共 30 条
  • [11] Impact of competitive flow on wall shear stress in coronary surgery: computational fluid dynamics of a LIMA-LAD model
    Nordgaard, Havard
    Swillens, Abigail
    Nordhaug, Dag
    Kirkeby-Garstad, Idar
    Van Loo, Denis
    Vitale, Nicola
    Segers, Patrick
    Haaverstad, Rune
    Lovstakken, Lasse
    CARDIOVASCULAR RESEARCH, 2010, 88 (03) : 512 - 519
  • [12] Analysis of wall shear stress in stented coronary artery using 3D computational fluid dynamics modeling
    Dehlaghi, Vahab
    Shadpoor, Mohammad Tafazoli
    Najarian, Siamak
    JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2008, 197 (1-3) : 174 - 181
  • [13] Enhancing Wind Turbine Blade Preventive Maintenance Procedure through Computational Fluid Dynamics-Based Prediction of Wall Shear Stress
    Palasai, Wasan
    Plengsa-Ard, Chalermpol
    Kaewbumrung, Mongkol
    SUSTAINABILITY, 2024, 16 (07)
  • [14] Distribution of wall shear stress in carotid plaques using magnetic resonance imaging and computational fluid dynamics analysis: a preliminary study
    Jing Li-na
    Gao Pei-yi
    Lin Yan
    Sui Bin-bin
    Qin Hai-qiang
    Ma Li
    Xue Jing
    CHINESE MEDICAL JOURNAL, 2011, 124 (10) : 1465 - 1469
  • [15] First insights into the role of wall shear stress in the development of a distal stent graft induced new entry through computational fluid dynamics simulations
    Osswald, Anja
    Weymann, Alexander
    Tsagakis, Konstantinos
    Zubarevich, Alina
    Thielmann, Matthias
    Schmack, Bastian
    Ruhparwar, Arjang
    Karmonik, Christof
    JOURNAL OF THORACIC DISEASE, 2023, 15 (02) : 281 - 290
  • [16] First insights into the role of wall shear stress in the development of a distal stent graft induced new entry through computational fluid dynamics simulations
    Ma, Dongmei
    Yu, Wenjuan
    Cai, Lei
    Shen, Jiying
    Guo, Tao
    Chen, Xu
    Dong, JianHong
    Zeng, Qiulin
    Wang, Aijun
    Hua, Zhixiang
    Zhu, Xiangjia
    Zheng, Tianyu
    Lu, Yi
    Yang, Jin
    JOURNAL OF REFRACTIVE SURGERY, 2023, 39 (02)
  • [17] Computational fluid dynamics analysis of the relationship between wall shear stress pattern and plaque distribution at the distal left main bifurcation area
    Lee, W. S.
    Kim, S. W.
    Kwon, J. E.
    Kim, E. Y.
    Lee, K. J.
    Kim, T. H.
    Kim, C. J.
    Cho, S. W.
    Ryu, H. S.
    EUROPEAN HEART JOURNAL, 2013, 34 : 999 - 999
  • [18] High wall shear stress predicts plaque rupture of the aortic arch: computational fluid dynamics model and non-obstructive general angioscopy study
    Kojima, K.
    Hiro, T.
    Ebuchi, Y.
    Morikawa, T.
    Migita, S.
    Tamaki, T.
    Mineki, T.
    Akutsu, N.
    Murata, N.
    Kitano, D.
    Sudo, M.
    Fukamachi, D.
    Takayama, T.
    Hirayama, A.
    Okumura, Y.
    EUROPEAN HEART JOURNAL, 2019, 40 : 3739 - 3739
  • [19] Label-free atherosclerosis diagnosis through a blood drop of apolipoprotein E knockout mouse model using surface-enhanced Raman spectroscopy validated by machine learning algorithm
    Lee, Sanghwa
    Jue, Miyeon
    Cho, Minju
    Lee, Kwanhee
    Paulson, Bjorn
    Jo, Hanjoong
    Song, Joon Seon
    Kang, Soo-Jin
    Kim, Jun Ki
    BIOENGINEERING & TRANSLATIONAL MEDICINE, 2023, 8 (04)
  • [20] Analysis of mesoscale effects in high-shear granulation through a computational fluid dynamics-population balance coupled compartment model
    Abrahamsson, P. J.
    Kvist, P.
    Reynolds, G.
    Yu, X.
    Bjorn, I. Niklasson
    Hounslow, M. J.
    Rasmuson, A.
    PARTICUOLOGY, 2018, 36 : 1 - 12