Paper
8 February 2007 Cell-cell interaction in blood flow in patients with coronary heart disease (in vitro study)
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Abstract
Blood cell-cell and cell-vessel wall interactions are one of the key patterns in blood and vascular pathophysiology. We have chosen the method of reconstruction of pulsative blood flow in vitro in the experimental set. Blood flow structure was studied by PC integrated video camera with following slide by slide analysis. Studied flow was of constant volumetric blood flow velocity (1 ml/h). Diameter of tube in use was comparable with coronary arteries diameter. Glucose solution and unfractured heparin were used as the nonspecial irritants of studied flow. Erythrocytes space structure in flow differs in all groups of patients in our study (men with stable angina pectoris (SAP), myocardial infarction (MI) and practically healthy men (PHM). Intensity of erythrocytes aggregate formation was maximal in patients with SAP, but time of their "construction/deconstruction" at glucose injection was minimal. Phenomena of primary clotting formation in patients with SAP of high function class was reconstructed under experimental conditions. Heparin injection (10 000 ED) increased linear blood flow velocity both in patients with SAP, MI and PHP but modulated the cell profile in the flow. Received data correspond with results of animal model studies and noninvasive blood flow studies in human. Results of our study reveal differences in blood flow structure in patients with coronary heart disease and PHP under irritating conditions as the possible framework of metabolic model of coronary blood flow destabilization.
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Lidia I. Malinova, Georgy V. Simonenko, Tatyana P. Denisova, and Valery V. Tuchin "Cell-cell interaction in blood flow in patients with coronary heart disease (in vitro study)", Proc. SPIE 6436, Complex Dynamics and Fluctuations in Biomedical Photonics IV, 64360V (8 February 2007); https://doi.org/10.1117/12.712833
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KEYWORDS
Blood circulation

Blood

Heart

Glucose

In vitro testing

Animal model studies

Data modeling

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