Jiachen Wei^1,2,*

Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 103-104, 2019, DOI:10.32604/mcb.2019.07721

Abstract Phoretic flow can be generated by different types of gradient (e.g. temperature, concentration, or charge gradient) [1-3]. Within micro-to-nano confined system, the diffusio-phoretic property for proteins differs dramatically from that obtained in bulk condition, due to concentration fluctuation that emerges at microscopic level induced by specific and nonspecific interactions between protein and co-solute [4-5]. The phoretic mobility of protein individuals and complex in solute gradients can be theoretically described by continuum model [1-2] that neglects microscopic heterogeneity and determined experimentally by microfluidics [6], but the underlying mechanism of diffusio-phoretic motion for confined protein still remains unclear.
Our approach to… More >

Lining Arnold Ju^{1,2,3,4,6,†,*}, James McFadyen^4,†, Saheb Al-Daher^4,†, Imala Alwis^1,2,3,4, Yunfeng Chen^6,7,8, Mark E. Cooper⁹, Cheng Zhu^1,2,3,5,6,7, Shaun P. Jackson^1,2,3,4,8

Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 96-96, 2019, DOI:10.32604/mcb.2019.06979

Abstract Thrombotic diseases where platelets form clots and obstruct blood vessels remains the leading cause of death and disability in the world. Despite intense investigation over the last 40 years into the discovery and development of more effective drugs, less than 1 in 6 patients taking anti-thrombotic therapies avoid a fatal event. This situation is likely to worsen in younger generations due to the rapidly growing incidence of diabetes, which makes people more prone to thrombosis and resistant to existing anti-thrombotics with unknown reasons.
To investigate this, I have developed the ‘Biomembrane Force Probe’ as the first-of-its-kind. This nanotool represents… More >

Xiuqing Qian^1,2, Fan yuan^1,*

Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 89-89, 2019, DOI:10.32604/mcb.2019.07041

Abstract Elevated intraocular pressure (IOP) is the most important risk factor for disease progression in glaucoma patients. The elevation is predominantly due to the increase in the aqueous outflow resistance in the trabecular outflow pathway. Recent data have shown that the resistance increase is correlated with changes in the tissue stiffness. To this end, we developed a mathematical model to simulate how the tissue stiffness can affect the deformation of the trabecular meshwork (TM) that can be determined experimentally. The goal of the study is to develop a method to non-invasively determine the TM stiffness in patients through measurement of the… More >

Zhi Zhang¹, Jianhua Tong^1,*

Molecular & Cellular Biomechanics, Vol.16, Suppl.1, pp. 43-43, 2019, DOI:10.32604/mcb.2019.05721

Abstract Diabetes is a major risk factor to cause macrovascular diseases and plays a pivotal role in aortic wall remodeling. However, the effects of diabetes on elastic properties of aortas remain largely unknown. Thirty adult rabbits (1.6-2.2 kg) were collected and the type I diabetic rabbit model was induced by injection of alloxan. A total of 15 control and 15 diabetic rabbit (abdominal) aortas were harvested. Uniaxial and biaxial tensile tests were performed to measure ultimate tensile strength and to characterize biaxial mechanical behaviors of the aortas. A material model was fitted to the biaxial experimental data to obtain constitutive parameters.… More >

Maximiliano GIRAUD-BILLOUD^{1, 2*}, Fernando EZQUER², Javiera BAHAMONDE², Marcelo EZQUER²

BIOCELL, Vol.41, No.1, pp. 1-12, 2017, DOI:10.32604/biocell.2017.41.001

Abstract A decrease in the tubular expression of albumin endocytic transporters megalin and cubilin has been associated with diabetic nephropathy, but there are no comprehensive studies to date relating early tubulointerstitial injury and the effect of the disease on both transporters in type 1 diabetes mellitus (T1DM). We used eight-weekold male C57BL/6 mice divided into two groups; one of them received the vehicle (control group), while the other received the vehicle + 200 mg/kg streptozotocin (T1DM). Ten weeks after the injection, we evaluated plasma insulin, enzymuria, urinary vitamin D-binding protein (VDBP), tubulointerstitial fibrosis and proximal tubule histology, markers of autophagy, and… More >

E. K. Moioli¹, B. Shah¹, P. A. Clark¹, M. Stroscio¹, J. J. Mao¹

Molecular & Cellular Biomechanics, Vol.3, No.4, pp. 153-155, 2006, DOI:10.32604/mcb.2006.003.153

Abstract This article has no abstract. More >

Daxiang Cui¹, Cengiz S. Ozkan², Sathyajith Ravindran³, Yong Kong¹, Huajian Gao¹

Molecular & Cellular Biomechanics, Vol.1, No.2, pp. 113-122, 2004, DOI:10.3970/mcb.2004.001.113

Abstract Experiments on encapsulating Pt--labelled DNA molecules inside multiwalled carbon nanotubes (MWCNT) were performed under temperature and pressure conditions of 400K and 3 Bar. The DNA-CNT hybrids were purified via agarose gel electrophoresis and analyzed via high resolution transmission electron microscopy (HR-TEM) and energy dispersive X-ray spectroscopy (EDX). The results showed that the Pt-labelled DNA molecules attached to the outside walls of CNTs could be removed by electrophoresis. The HR-TEM and EDX results demonstrated that 2-3% of the Pt-labelled DNA molecules were successfully encapsulated inside the MWCNTs. The experimental study complements our previous molecular dynamics simulations on encapsulation of single stranded… More >

Maximiliano GIRAUD-BILLOUD^1,2,*, Claudio M. FADER^1,3, Rocío AGÜERO², Fernando EZQUER⁴, Marcelo EZQUER⁴

BIOCELL, Vol.42, No.2, pp. 35-40, 2018, DOI:10.32604/biocell.2018.07010

Abstract Diabetic nephropathy (DN) is the most frequent cause of chronic renal failure. Until now, the pathophysiological mechanisms that determine its development and progression have not yet been elucidated. In the present study, we evaluate the role of autophagy at early stages of DN, induced in type 2 diabetes mellitus (T2DM) mouse, and its association with proximal tubule membrane endocytic receptors, megalin and cubilin. In T2DM animals we observed a tubule-interstitial injury with significantly increased levels of urinary GGT and ALP, but an absence of tubulointerstitial fibrosis. Kidney proximal tubule cells of T2DM animals showed autophagic vesicles larger than those observed… More >

Marziyeh Eftekhari¹, Omid Vahidi^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.114, No.2, pp. 153-171, 2018, DOI:10.3970/cmes.2018.114.153

Abstract Various drugs are used to maintain normoglycemia in subjects with type 2 diabetes mellitus. The combination of the drugs from different classes in one single tablet may enhance the effectiveness of the anti-diabetic drugs. To investigate the impact of combining drugs on the glucose regulation of subjects with type 2 diabetes, we propose a pharmacokinetic/pharmacodynamics (PK/PD) mathematical modeling approach for a combination of metformin and vildagliptin drugs. In the proposed modeling approach, two separate PK models representing oral administration of metformin and vildagliptin for diabetic subjects are interconnected to a PD model comprising a detailed compartmental physiological model representing the… More >

Dmitry S. Bulgarevich^1,*, Susumu Tsukamoto¹, Tadashi Kasuya², Masahiko Demura¹, Makoto Watanabe^1,3

The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.2, pp. 122-122, 2019, DOI:10.32604/icces.2019.05271

Abstract The microstructure of steel greatly determines its mechanical properties/performance and holds information on chemical composition and processing history. Therefore, quantitative analysis of optical or SEM images on formed microstructure phases is one of the primary interests for metallurgy. So far, such analyses in laboratories are done manually by experts and are very time consuming. However, with modern microscopy techniques of automated image acquisitions over the large imaging areas and even by using of sample slicing for three-dimensional imaging, the amount of image data could be overwhelming for manual examinations. In this respect, there is a possibility that machine learning (ML)… More >