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Preface: Computational and experimental methods for biological research: cardiovascular diseases and beyond

BioMedical Engineering OnLine201615(Suppl 2):157

https://doi.org/10.1186/s12938-016-0269-8

Published: 28 December 2016

Cardiovascular disease (CVD) is the leading cause of death worldwide. Huge effort has been made in many disciplines including medical imaging, computational modeling, biomechanics, bioengineering, medical devices, animal and clinical studies, population studies as well as genomic, molecular, cellular and organ-level studies seeking improved methods for early detection, diagnosis, prevention and treatment of these diseases. Following the success of our special issue last year [1], experts in various disciplines were invited to write papers covering important areas in biomedical research, including medical images [25], arteries [610], aneurysm [1114], some heart and lung issues [1517], medical devices and treatment techniques [1824], microscale studies at cell and molecule levels [2528], and others [2936]. A total of 35 papers were included in this special issue, with a good spectrum of coverage.

In the modern diagnosis process, medical images have the utmost importance. Zhu et al. presented a feasibility study of T2-prepared segmented 3D-Gradient-Echo for fast T2-weighted high-resolution three-dimensional imaging of the carotid artery wall at 3T [2]. They reported that the acquisition time using 3D-Gradient-Echo could be substantially reduced to about 25% of the respective 3D-TSE technique. Xing et al. [3] proposed a new protocol for computing wall shear stress based on contrast-enhanced micro-CT imaging in murine carotid arteries. Contrast-enhanced micro-CT was performed using eXIA 160. They reported that eXIA 160-enhanced micro-CT allowed clear visualization and assessment of the RCCA in all eight animals. No adverse biological effects were observed from the use of eXIA 160. Li et al. [4] used machine learning algorithm models in ApoE−/− mice to predict carotid plaque progression. They found that contralateral carotid artery diameter at 7 days after surgery was the most reliable predictive factor in plaque progression. They achieved over 87.5% accuracy, 80% sensitivity, and 95% specificity with support vector machine (SVM). Tian et al. [5] provided comparison of lesion outline and temperature field determined by different ways in atrial radiofrequency ablation.

In the “artery” category, we have papers covering deformation of three-dimensional red blood cells in non-uniform capillaries [6], study of neo-aortic root for arterial switch operation [7], study of effect of LVAD on aortic blood flow pattern [8], and study for the risk of Stanford type-A aortic dissection with different tear size and location [9]. It also included a study of mechanical anisotropy of porcine thoracic aorta by uniaxial tensile tests [10].

For aneurysm, Xiong et al. [11] presented a hemodynamics study of an innovative multilayer stent for treatment of aneurysms. Li et al. [12] studied the pressure shielding ability of stent-graft after endovascular aneurysm repair (EVAR) of abdominal aortic aneurysm (AAA). Zhang introduced a phantom-based experimental validation of fast virtual deployment of self-expandable stents for cerebral aneurysms [13]. Xu and Liu studied potential association between flow instability and rupture in patients with matched-pairs of ruptured-unruptured intracranial aneurysms [14]. Their results demonstrated highly disturbed states of the blood flows in the ruptured aneurysms of the two patients with multiple aneurysms. The ruptured aneurysms exhibit obviously temporal intra-cycle wall shear stress (WSS) fluctuations rather than the unruptured aneurysms of the same patient. Cycle-to-cycle fluctuations are further observed in the ruptured aneurysms when the flow turns to decelerate [14].

Effectiveness of stents and grafts were studied in [18, 22, 23]. Gu et al. [21] studied the effect of captopril on the performance of the control strategies of BJUT-II VAD. Zhang et al. [19] provided an optimization study of patient-specific design of flow diverters made from helix-like wires.

Micro-scale studies included β1 integrin signaling in asymmetric migration of keratinocytes under mechanical stretch in a co-cultured wound repair model [25] and mechanical regulation of calcium signaling of HL-60 on P-selectin under flow, among others. Wang et al. [28] used a multi-component parallel-plate flow chamber system for studying the effect of exercise-induced shear stress on endothelial cells. Their cellular experiments demonstrated that the actin microfilaments and the production of NO within cells exposed to the two different wall shear stress waveforms exhibit different dynamic behaviors; there are larger numbers of actin microfilaments and higher level NO in cells exposed in exercise-induced wall shear stress condition than resting wall shear stress condition. Some recent developments in computational and experimental methods for biological research beyond cardiovascular system were also included in the issue [2936]. They included studies for bones [29, 31], mental stress [30], eyes [3234], and tumour growth [35]. Effects of swimming training on carotid arterial stiffness and hemodynamics in young overweight adults were investigated [36]. This enabled a good coverage of different aspects of recent developments in modern methods in biological research.

Declarations

Declarations

Authors’ contributions

Both authors actively contributed to the research and the writing of the manuscript. DT and ZYL were guest editors for the special issue. Both authors read and approved the final manuscript.

Acknowledgements

Organizing and early effort of this special issue was supported in part by NIH/NIBIB 1R13 EB018724. Sponsorship information: Publication of this supplement has not been supported by sponsorship. Information about the source of funding for publication charges can be found in the individual articles. The peer review process was overseen by the Supplement Editors in accordance with BioMed Central’s peer review guidelines for supplements. The Supplement Editors declare that they have no competing interests.

Competing interests

Other than the grants listed in the acknowledgement section, the authors declare that they have no other competing interests.

About this supplement

This article has been published as part of BioMedical Engineering OnLine Volume 15 Supplement 2, 2016. Computational and experimental methods for biological research: cardiovascular diseases and beyond. The full contents of the supplement are available online http://biomedical-engineering-online.biomedcentral.com/articles/supplements/volume-15-supplement-2.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
School of Biological Science and Medical Engineering, Southeast University
(2)
Department of Mathematical Sciences, Worcester Polytechnic Institute

Reference

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    Group II. Arteries

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    Group III. Aneurysm

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    Group IV. Heart and Lung

    1. Liao S, Simpson B, Neidlin M, Kaufmann TA, Li ZY, Woodruff MA, Gregory SD. Numerical prediction of thrombus risk in an anatomically dilated left ventricle: the effect of inflow cannula designs. BioMed Eng OnLine. 2016. doi:10.1186/s12938-016-0262-2.Google Scholar
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    Group V. Device and Treatment

    1. Li HX, Gu JF, Wang MJ, Zhao DY, Li Z, Qiao AK, Zhu B. Multi-objective optimization of coronary stent using kriging surrogate model. BioMed Eng OnLine. 2016. doi:10.1186/s12938-016-0268-9.Google Scholar
    2. Zhang MZ, Anzai H, Chopard B, Ohta M. Towards the patient-specific design of flow diverters made from helix-like wires: an optimization study. BioMed Eng OnLine. 2016. doi:10.1186/s12938-016-0257-z.Google Scholar
    3. Bo XF, Wang WD, Chen Z, Liu ZC. Compression-distraction reduction surgical verification and optimization to treat the basilar invagination and atlantoaxial dislocation: a finite element analysis. BioMed Eng OnLine. 2016. doi:10.1186/s12938-016-0246-2.Google Scholar
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    5. Mao BY, Wang WX, Zhao Z, Zhao X, Li LL, Zhang HX, Liu YJ. On the relationship between competitive flow and FFT analysis of the flow waves in the left internal mammary artery graft in the process of CABG. BioMed Eng OnLine. 2016. doi:10.1186/s12938-016-0260-4.Google Scholar
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    Group VI. Micro-scale studies

    1. Lü DY, Li Z, Gao YX, Luo CH, Zhang F, Zheng L, Wang JW, Sun SJ, Long M. & #x03B2;1 integrin signaling in asymmetric migration of keratinocytes under mechanical stretch in a co-cultured wound repair model. BioMed Eng OnLine. 2016. doi:10.1186/s12938-016-0263-1.Google Scholar
    2. Huang B, Ling YC, Fang Y, Wu JH. Mechanical regulation of calcium signaling of HL-60 on P-selectin under flow. BioMed Eng OnLine. 2016. doi:10.1186/s12938-016-0271-1.Google Scholar
    3. Liu WP, Liu GJ, Zhou HY, Fang X, Fang Y, Wu JH. Computer prediction of paratope on antithrombotic antibody 10B12 and epitope on platelet glycoprotein VI via molecular dynamics simulation. BioMed Eng OnLine. 2016. doi:10.1186/s12938-016-0272-0.Google Scholar
    4. Wang YX, Xiang C, Liu B, Zhu Y, Luan Y, Liu ST, Qin KR. A multi-component parallel-plate flow chamber system for studying the effect of exercise-induced wall shear stress on endothelial cells. BioMed Eng OnLine. 2016. doi:10.1186/s12938-016-0273-z.Google Scholar

    Group VII. Other

    1. Wu XG, Wang NN, Wang ZW, Yu WL, Wang YQ, Guo Y, Chen WY. Mathematically modeling fluid flow and fluid shear stress in the canaliculi of a loaded osteon. BioMed Eng OnLine. 2016. doi:10.1186/s12938-016-0267-x.Google Scholar
    2. Wang XN, Liu BB, Xie L, Yu XL, Li MJ, Zhang JB. Cerebral and neural regulation of cardiovascular activity during mental stress. BioMed Eng OnLine. 2016. doi:10.1186/s12938-016-0255-1.Google Scholar
    3. Sun J, Yan SH, Jiang Y, Wong DW, Zhang M, Zeng JZ, Zhang K. Finite element analysis of the valgus knee joint of an obese child. BioMed Eng OnLine. 2016. doi:10.1186/s12938-016-0253-3.Google Scholar
    4. Zhang J, Ren L, Mei X, Zheng W, Liu ZC. Microstructure visualization of conventional outflow pathway and finite element modeling of trabecular meshwork. BioMed Eng OnLine. 2016. doi:10.1186/s12938-016-0254-2.Google Scholar
    5. Guo HM, Gao ZP, Chen WY. The biomechanical significance of pulley on binocular vision. BioMed Eng OnLine. 2016. doi:10.1186/s12938-016-0280-0.Google Scholar
    6. Wang WJ, Qian XQ, Song HF, Zhang MD, Liu ZC. Fluid and structure coupling analysis of the interaction between aqueous humor and iris. BioMed Eng OnLine. 2016. doi:10.1186/s12938-016-0261-3.Google Scholar
    7. Cai Y, Zhang J, Li ZY. Multi-scale mathematical modelling of tumour growth and microenvironments in anti-angiogenic therapy. BioMed Eng OnLine. 2016. doi:10.1186/s12938-016-0275-x.Google Scholar
    8. Yuan WX, Liu HB, Gao FS, Wang YX, Qin KR. Effects of 8-week swimming training on carotid arterial stiffness and hemodynamics in young overweight adults. BioMed Eng OnLine. 2016. doi:10.1186/s12938-016-0274-y.Google Scholar

Copyright

© The Author(s) 2016

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