Effects of big endothelin-1 in comparison with endothelin-1 on the microvascular blood flow velocity and diameter of rat mesentery in vivo

2006 ◽  
Vol 72 (3) ◽  
pp. 108-112
Author(s):  
Mohamed Anwar Abdelhalim
Keyword(s):  
Blood Flow ◽  
Flow Velocity ◽  
Blood Flow Velocity ◽  
Microvascular Blood Flow ◽  
Endothelin 1 ◽  
Rat Mesentery

Preclinical Quantification of Prostate Cancer-Associated Vascular Alterations in the Bone Microenvironment in vivo

2020 ◽  
Vol 61 (6) ◽  
pp. 188-200
Author(s):  
Malte Schroeder ◽  
Lennart Viezens ◽  
Jördis Sündermann ◽  
Svenja Hettenhausen ◽  
Gerrit Hauenherm ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Blood Flow ◽  
Flow Velocity ◽  
Cell Lines ◽  
Blood Flow Velocity ◽  
Tumour Growth ◽  
Prostate Cancer Cell ◽  
Bone Microenvironment ◽  
Prostate Cancer Cell Lines

Introduction: Prostate cancer has a special predilection to form bone metastases. Despite the known impact of the microvascular network on tumour growth and its dependence on the organ-specific microenvironment, the characteristics of the tumour vasculature in bone remain unknown. Methods: The cell lines LNCaP, DU145, and PC3 were implanted into the femurs of NSG mice to examine the microvascular properties of prostate cancer in bone. Tumour growth and the functional and morphological alterations of the microvasculature were analysed for 21 days in vivo using a transparent bone chamber and fluorescence microscopy. Results: Vascular density was significantly lower in tumour-bearing bone than in non-tumour-bearing bone, with a marked loss of small vessels. Accelerated blood flow velocity led to increased volumetric blood flow per vessel, but overall perfusion was not affected. All of the prostate cancer cell lines had similar vascular patterns, with more pronounced alterations in rapidly growing tumours. Despite minor differences between the prostate cancer cell lines associated with individual growth behaviours, the same overall pattern was observed and showed strong similarity to that of tumours growing in soft tissue. Discussion: The increase in blood flow velocity could be a specific characteristic of prostate cancer or the bone microenvironment.

Heat-Sterllized Pd Fluid Blocks Leukocyte Adhesion and Increases Flow Velocity in Rat Peritoneal Venules

1996 ◽  
Vol 16 (1_suppl) ◽  
pp. 137-141 ◽  
Author(s):  
Peter Jonasson ◽  
Ulf Bagge ◽  
Anders Wieslander ◽  
Magnus Braide
Keyword(s):  
Cell Culture ◽  
Blood Flow ◽  
Flow Velocity ◽  
Bacterial Infections ◽  
Degradation Products ◽  
Leukocyte Adhesion ◽  
Microvascular Blood Flow ◽  
Leukocyte Rolling ◽  
Rat Mesentery ◽  
Rolling Leukocytes

Data from cell culture experiments indicate that heat sterilization of peritoneal dialysis (PD) fluids produces cytotoxic glucose degradation products. The present vital microscopic study investigated the effects of different sterilization methods on the biocompatibility of PD fluids. Thus, heat-sterilized (commercially obtained and experimentally produced) and filter-sterilized PD fluids (pH = 5.30 5.40; 1.5% glucose) were compared with Tyrode buffer, with respect to the effects on microvascular blood flow velocity and leukocyte adhesion in the rat mesentery. Exteriorization of the mesentery produced a mild inflammation, known from the literature and characterized by the adhesive rolling of leukocytes along venular walls. Superfusion of the mesentery with filter-sterilized PD fluid had no significant effects on leukocyte rolling or flow velocity in venules 25 40 μm in diameter compared with buffer superfusion. Heat-sterilized PD fluid decreased the concentration of rolling leukocytes and increased flow velocity significantly, as compared with buffer and filter-sterilized PD fluid. The results indicate that heat sterilization of PD fluids produces substances that interact with microvascular tone and leukocyte-endothelial adhesion, which hypothetically could impair the acute, granulocyte-mediated defense against bacterial infections.

scholarly journals Noninvasive imaging of in vivo blood flow velocity using optical Doppler tomography

1997 ◽  
Vol 22 (14) ◽  
pp. 1119 ◽  
Author(s):  
Zhongping Chen ◽  
Thomas E. Milner ◽  
Shyam Srinivas ◽  
Xiaojun Wang ◽  
Arash Malekafzali ◽  
...  
Keyword(s):  
Blood Flow ◽  
Flow Velocity ◽  
Blood Flow Velocity ◽  
Noninvasive Imaging ◽  
Doppler Tomography ◽  
Optical Doppler Tomography

Methods to measure blood flow velocity of red blood cells in vivo at the microscopic level

1986 ◽  
Vol 14 (2) ◽  
pp. 175-186 ◽  
Author(s):  
Dick W. Slaaf ◽  
Theo J. M. Jeurens ◽  
Geert Jan Tangelder ◽  
Robert S. Reneman ◽  
Theo Arts
Keyword(s):  
Blood Flow ◽  
Red Blood Cells ◽  
Flow Velocity ◽  
Blood Flow Velocity ◽  
Blood Cells ◽  
Microscopic Level ◽  
Measure Blood Flow

Transcranial Doppler Pulsatility Index: Not an Accurate Method to Assess Intracranial Pressure

Neurosurgery ◽  
2010 ◽  
Vol 66 (6) ◽  
pp. 1050-1057 ◽  
Author(s):  
Anders Behrens ◽  
Niklas Lenfeldt ◽  
Khalid Ambarki ◽  
Jan Malm ◽  
Anders Eklund ◽  
...  
Keyword(s):  
Blood Flow ◽  
Intracranial Pressure ◽  
Flow Velocity ◽  
Transcranial Doppler ◽  
Blood Flow Velocity ◽  
Pulsatility Index ◽  
Transcranial Doppler Sonography ◽  
Accurate Method ◽  
Mathematical Simulations

Abstract BACKGROUND Transcranial Doppler sonography (TCD) assessment of intracranial blood flow velocity has been suggested to accurately determine intracranial pressure (ICP). OBJECTIVE We attempted to validate this method in patients with communicating cerebrospinal fluid systems using predetermined pressure levels. METHODS Ten patients underwent a lumbar infusion test, applying 4 to 5 preset ICP levels. On each level, the pulsatility index (PI) in the middle cerebral artery was determined by measuring the blood flow velocity using TCD. ICP was simultaneously measured with an intraparenchymal sensor. ICP and PI were compared using correlation analysis. For further understanding of the ICP-PI relationship, a mathematical model of the intracranial dynamics was simulated using a computer. RESULTS The ICP-PI regression equation was based on data from 8 patients. For 2 patients, no audible Doppler signal was obtained. The equation was ICP = 23*PI + 14 (R2 = 0.22, P < .01, N = 35). The 95% confidence interval for a mean ICP of 20 mm Hg was −3.8 to 43.8 mm Hg. Individually, the regression coefficients varied from 42 to 90 and the offsets from −32 to +3. The mathematical simulations suggest that variations in vessel compliance, autoregulation, and arterial pressure have a serious effect on the ICP-PI relationship. CONCLUSIONS The in vivo results show that PI is not a reliable predictor of ICP. Mathematical simulations indicate that this is caused by variations in physiological parameters.

Blood flow velocity measurements in rat mesentery arterioles in health and under hypertensive conditions

1994 ◽  
Author(s):  
Marina S. Polyakova ◽  
Irina A. Sokolova ◽  
Alexander V. Priezzhev ◽  
Sergei G. Proskurin ◽  
Natalia B. Savchenko ◽  
...  
Keyword(s):  
Blood Flow ◽  
Flow Velocity ◽  
Blood Flow Velocity ◽  
Velocity Measurements ◽  
Rat Mesentery
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