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1.
Am J Physiol Gastrointest Liver Physiol ; 304(12): G1070-8, 2013 Jun 15.
Article in English | MEDLINE | ID: mdl-23518685

ABSTRACT

Hydrogen sulfide (H2S) affects vascular resistance; however, its effect on the hepatic microcirculation has not been investigated. Hepatic sinusoidal perfusion is dysregulated during sepsis, contributing to liver injury. Therefore, the present study determined the effect of H2S on the hepatic microcirculation and the contribution of endogenous H2S to hepatic microcirculatory dysfunction in an endotoxin model of sepsis. Portal infusion of H2S increased portal pressure in vivo (6.8 ± 0.2 mmHg before H2S vs. 8.6 ± 0.8 mmHg peak during H2S infusion, P < 0.05). Using intravital microscopy, we observed decreased sinusoidal diameter (6.2 ± 0.27 µm before H2S vs. 5.7 ± 0.3 µm after H2S, P < 0.05) and increased sinusoidal heterogeneity during H2S infusion (P < 0.05) and net constriction. Since hepatic H2S levels are elevated during sepsis, we used the cystathionine γ lyase inhibitor DL-propargylglycine (PAG) to determine the contribution of H2S to the hypersensitization of the sinusoid to the vasoconstrictor effect of endothelin-1 (ET-1). PAG treatment significantly attenuated the sinusoidal sensitization to ET-1 in endotoxin-treated animals. ET-1 infusion increased portal pressure to 175% of baseline in endotoxemic animals, which was reduced to 143% following PAG treatment (P < 0.05). PAG abrogated the increase in sinusoidal constriction after ET-1 infusion in LPS-treated rats (30.9% reduction in LPS rats vs. 11.6% in PAG/LPS rats, P < 0.05). Moreover, PAG treatment significantly attenuated the increase in NADH fluorescence following ET-1 exposure during endotoxemia (61 grayscale units LPS vs. 21 units in PAG/LPS, P < 0.05), suggesting an improvement in hepatic oxygen availability. This study is the first to demonstrate a vasoconstrictor action of H2S on the hepatic sinusoid and provides a possible mechanism for the protective effect of PAG treatment during sepsis.


Subject(s)
Endotoxemia/physiopathology , Liver/blood supply , Microcirculation/drug effects , Microvessels/physiopathology , Sulfites/pharmacology , Vasoconstriction/drug effects , Alkynes/pharmacology , Animals , Endothelins/pharmacology , Endotoxemia/chemically induced , Enzyme Inhibitors/pharmacology , Escherichia coli , Glycine/analogs & derivatives , Glycine/pharmacology , Hemodynamics/drug effects , Infusions, Intravenous , Lipopolysaccharides/toxicity , Liver/physiopathology , Male , Portal Pressure/drug effects , Portal Vein/physiopathology , Rats , Rats, Sprague-Dawley , Vasoconstrictor Agents/pharmacology
2.
IEEE Trans Biomed Eng ; 58(8)2011 Aug.
Article in English | MEDLINE | ID: mdl-21632294

ABSTRACT

Leukocyte motion represents an important component in the innate immune response to infection. Intravital microscopy is a powerful tool as it enables in vivo imaging of leukocyte motion. Under inflammatory conditions, leukocytes may exhibit various motion behaviors, such as flowing, rolling, and adhering. With many leukocytes moving at a wide range of speeds, collisions occur. These collisions result in abrupt changes in the motion and appearance of leukocytes. Manual analysis is tedious, error prone,time consuming, and could introduce technician-related bias. Automatic tracking is also challenging due to the noise inherent in in vivo images and abrupt changes in motion and appearance due to collision. This paper presents a method to automatically track multiple cells undergoing collisions by modeling the appearance and motion for each collision state and testing collision hypotheses of possible transitions between states. The tracking results are demonstrated using in vivo intravital microscopy image sequences.We demonstrate that 1)71% of colliding cells are correctly tracked; (2) the improvement of the proposed method is enhanced when the duration of collision increases; and (3) given good detection results, the proposed method can correctly track 88% of colliding cells. The method minimizes the tracking failures under collisions and, therefore, allows more robust analysis in the study of leukocyte behaviors responding to inflammatory conditions.


Subject(s)
Algorithms , Artificial Intelligence , Image Interpretation, Computer-Assisted/methods , Leukocytes/cytology , Leukocytes/physiology , Microscopy, Video/methods , Pattern Recognition, Automated/methods , Cell Adhesion/physiology , Cell Movement/physiology , Cells, Cultured , Humans , Image Enhancement/methods , Reproducibility of Results , Sensitivity and Specificity
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