The effect of perfusion rate on the apparent release of tritiated L-glutamate from superfused synaptosomes

1991 ◽  
Vol 19 (2) ◽  
pp. 147S-147S ◽  
Author(s):  
KEITH J. COLLARD
Keyword(s):  
Perfusion Rate ◽  
Superfused Synaptosomes

Partition Coefficient Ratios and Tumour Perfusion Studied with 85mKr and 133Xe

1987 ◽  
Vol 26 (06) ◽  
pp. 253-257
Author(s):  
M. Mäntylä ◽  
J. Perkkiö ◽  
J. Heikkonen
Keyword(s):  
Partition Coefficient ◽  
Partition Coefficients ◽  
Regional Blood Flow ◽  
Blood Perfusion ◽  
Compartmental Analysis ◽  
Malignant Tumour ◽  
Mean Value ◽  
Perfusion Rate ◽  
Biological Variables ◽  
The Mean

The relative partition coefficients of krypton and xenon, and the regional blood flow in 27 superficial malignant tumour nodules in 22 patients with diagnosed tumours were measured using the 85mKr- and 133Xe-clearance method. In order to minimize the effect of biological variables on the measurements the radionuclides were injected simultaneously into the tumour. The distribution of the radiotracers was assumed to be in equilibrium at the beginning of the experiment. The blood perfusion was calculated by fitting a two-exponential function to the measuring points. The mean value of the perfusion rate calculated from the xenon results was 13 ± 10 ml/(100 g-min) [range 3 to 38 ml/(100 g-min)] and from the krypton results 19 ± 11 ml/(100 g-min) [range 5 to 45 ml/(100 g-min)]. These values were obtained, if the partition coefficients are equal to one. The equations obtained by using compartmental analysis were used for the calculation of the relative partition coefficient of krypton and xenon. The partition coefficient of krypton was found to be slightly smaller than that of xenon, which may be due to its smaller molecular weight.

Optimization of Perfusion Rate Acceleration is a Key Stage in Development of Highly Productive Perfusion Cultivation of CHO Cells

2016 ◽  
Vol 32 (4) ◽  
pp. 60-67
Author(s):  
A. N. MOROZOV ◽  
Z. V. ZAKHAROV ◽  
R. A. KOCHELABOV ◽  
D. V. TYUPA ◽  
A. V. ISERKAPOV ◽  
...  
Keyword(s):  
Cho Cells ◽  
Perfusion Rate ◽  
Rate Acceleration ◽  
Perfusion Cultivation

scholarly journals Analysis of hyperbolic Pennes bioheat equation in perfused homogeneous biological tissue subject to the instantaneous moving heat source

2021 ◽  
Vol 3 (4) ◽  
Author(s):  
Ali Kabiri ◽  
Mohammad Reza Talaee
Keyword(s):  
Heat Source ◽  
Closed Form ◽  
Method Comparison ◽  
Closed Form Solution ◽  
Form Solution ◽  
Temperature Profiles ◽  
Moving Heat Source ◽  
Bioheat Equation ◽  
Perfusion Rate

AbstractThe one-dimensional hyperbolic Pennes bioheat equation under instantaneous moving heat source is solved analytically based on the Eigenvalue method. Comparison with results of in vivo experiments performed earlier by other authors shows the excellent prediction of the presented closed-form solution. We present three examples for calculating the Arrhenius equation to predict the tissue thermal damage analysis with our solution, i.e., characteristics of skin, liver, and kidney are modeled by using their thermophysical properties. Furthermore, the effects of moving velocity and perfusion rate on temperature profiles and thermal tissue damage are investigated. Results illustrate that the perfusion rate plays the cooling role in the heating source moving path. Also, increasing the moving velocity leads to a decrease in absorbed heat and temperature profiles. The closed-form analytical solution could be applied to verify the numerical heating model and optimize surgery planning parameters.

Dissociation of tubuloglomerular feedback responses from distal tubular chloride concentration in the rat

1981 ◽  
Vol 240 (2) ◽  
pp. F111-F119 ◽  
Author(s):  
P. D. Bell ◽  
C. B. McLean ◽  
L. G. Navar
Keyword(s):  
Chloride Concentration ◽  
Tubuloglomerular Feedback ◽  
Fluid Solution ◽  
Perfusion Rate ◽  
Receptor System ◽  
Retrograde Perfusion ◽  
Perfusion Studies ◽  
Flow Pressure ◽  
Stop Flow ◽  
Feedback Responses

Previous studies have demonstrated that stop-flow pressure (SFP) feedback responses can occur during orthograde perfusion with solutions having low amounts of sodium or chloride. However, retrograde perfusion studies have suggested a specific role for chloride concentration in mediating feedback responses. These studies were conducted to compare SFP feedback responses during orthograde and retrograde perfusion with an artificial tubular fluid solution (ATF) (Cl- = 135 meq/liter) and a Na+ isethionate solution (Cl- = 6 meq/liter). With ATF, increases in perfusion rate from 10 to 35 nl/min led to decreases in SFP of 11 +/- 1.4 mmHg, increases in distal tubular fluid Cl- of 46 +/- 4.9 meq/liter, and osmolality of 58 +/- 10 mosmol/kg. There were significant inverse relationships between SFP and changes in Cl- and osmolality. With Na+ isethionate, SFP decreased by 8.4 +/- 1.0 mmHg, osmolality increased by 43 +/- 8 mosmol/kg, and Cl- did not change. There was a significant relationship between SFP and osmolality, but not with Cl-. During retrograde perfusion at 15 nl/min, SFP decreased by 12 +/- 1.2 mmHg with ATF and by 12 +/- 1.2 mmHg with Na+ isethionate. These results demonstrate that feedback-mediated decreases in SFP can occur in the absence of concomitant increases in distal Cl- and suggest that the receptor system does not have a unique and specific requirement for chloride.

Interaction between loop of Henle flow and arterial pressure as determinants of glomerular pressure

1989 ◽  
Vol 256 (3) ◽  
pp. F421-F429 ◽  
Author(s):  
J. Schnermann ◽  
J. P. Briggs
Keyword(s):  
Arterial Pressure ◽  
Pressure Range ◽  
Loop Of Henle ◽  
Half Maximum ◽  
Perfusion Rate ◽  
A Value ◽  
Regulatory Input ◽  
Flow Pressure ◽  
The Relationship ◽  
Stop Flow

Experiments were performed in anesthetized rats to study the relationship between loop of Henle perfusion rate, arterial pressure, and stop-flow pressure (SFP) as an index of glomerular capillary pressure. In one set of experiments we measured the SFP feedback response to changes in loop perfusion at three levels of arterial pressure. The maximum SFP response fell significantly from 13.1 +/- 1.44 to 8.14 +/- 1.72 and 3.13 +/- 0.76 mmHg when arterial pressure was reduced from 118.1 +/- 1.27 to 98.8 +/- 0.51 and 78.8 +/- 1.72 mmHg. In other experiments arterial pressure was altered while loop perfusion rate was fixed at one of three levels. Without loop perfusion SFP changed with a slope of 0.27 +/- 0.04 mmHg/mmHg in the arterial pressure range between 80 and 130 mmHg. During perfusion at the flow rate at which response is half maximum, the slope was significantly reduced to 0.12 +/- 0.04. During perfusion at 45 nl/min, it was 0.03 +/- 0.05, a value not significantly different from zero. During dopamine administration (70 micrograms/kg min) SFP was pressure-dependent even during loop perfusion at 45 nl/min. These results show that arterial pressure determines TGF responsiveness and that the TGF signal determines the range of a regulatory input that is directly dependent on arterial pressure.

One-Dimensional Transient Heat Conduction in Composite Living Perfuse Tissue

2013 ◽  
Vol 135 (7) ◽  
Author(s):  
S. M. Becker
Keyword(s):  
Heat Conduction ◽  
Initial Conditions ◽  
Separation Of Variables ◽  
Composite Layer ◽  
Circulatory System ◽  
Transient Heat Conduction ◽  
Bioheat Equation ◽  
Perfusion Rate ◽  
One Dimensional ◽  
Perfuse Tissue

Modeling the conduction of heat in living tissue requires the consideration of sudden spatial discontinuities in property values as well as the presence of the body's circulatory system. This paper presents a description of the separation of variables method that results in a remarkably simple solution of transient heat conduction in a perfuse composite slab for which at least one of the layers experiences a zero perfusion rate. The method uses the natural analytic approach and formats the description so that the constants of integration of each composite layer are expressed in terms of those of the previous layer's eigenfunctions. This allows the solution to be “built” in a very systematic and sequential manner. The method is presented in the context of the Pennes bioheat equation for which the solution is developed for a system composed of any number of N layers with arbitrary initial conditions.

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