| 1. |
- Fu, Jinrong, et al.
(author)
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Anti-apoptotic role for C1 inhibitor in ischemia/reperfusion-induced myocardial cell injury.
- 2006
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In: Biochemical and Biophysical Research Communications - BBRC. - : Elsevier BV. - 0006-291X .- 1090-2104. ; 349:2, s. 504-12
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Journal article (peer-reviewed)abstract
- Complement activation augments myocardial cell injury and apoptosis during ischemia/reperfusion (I/R), whereas complement system inhibition with C1 inhibitor (C1INH), a serine protease inhibitor, exerts markedly cardioprotective effects. Our recent data demonstrate that C1INH prevents vascular endothelial cell apoptosis and a "modified" form of the reactive center loop-cleaved, inactive C1INH (iC1INH) plays an anti-inflammatory role in endotoxin shock. The aim of this study was to determine whether C1INH protects against myocardial cell injury via an anti-apoptotic activity or anti-inflammatory effect. In a rat model of acute myocardial infarction (AMI) induced by I/R, administration of C1INH protected against cardiomyocytic apoptosis via normalization of ratio of the Bcl-2/Bax expression in the myocardial infarct area. C1INH improved parameters of cardiac function and hemodynamics and reduced myocardial infarct size (MIS). In addition, myocardial and blood myeloperoxidase (MPO) activity, a marker of neutrophil infiltration, was decreased by treatment of C1INH. In cultured H9c2 rat cardiomyocytic cells, C1INH blocked hypoxia/reoxygenation-induced apoptosis in the absence of sera associated with inhibition of cytochrome c translocation and suppression of caspase-3 activation. The proportion of Bcl-2/Bax expression induced by hypoxia/reoxygenation was reversed by C1INH. Importantly, iC1INH also revealed these similar effects, indicating that C1INH has a direct anti-apoptotic activity. Therefore, these studies support the hypothesis that C1INH, in addition to inhibition of activation of the complement and contact systems, improves outcome in I/R-mediated myocardial cell injury via an anti-apoptotic activity independent of serine protease inhibitory activity.
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| 2. |
- Fu, Jinrong, et al.
(author)
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Anti-ischemia/reperfusion of C1 inhibitor in myocardial cell injury via regulation of local myocardial C3 activity.
- 2006
-
In: Biochemical and Biophysical Research Communications - BBRC. - : Elsevier BV. - 0006-291X .- 1090-2104. ; 350:1, s. 162-8
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Journal article (peer-reviewed)abstract
- C3 is common to all pathways of complement activation augmenting ischemia/reperfusion (I/R)-induced myocardial injury and cardiac dysfunction. Complement inhibition with the complement regulatory protein, C1 inhibitor (C1INH), obviously exerts cardioprotective effects. Here, we examine whether C1INH regulates C3 activity in the ischemic myocardial tissue. C1INH markedly suppressed C3 mRNA expression and protein synthesis in both a model of I/R-induced rat acute myocardial infarction (AMI) and the cultured rat H9c2 heart myocytes. At least, this regulation was at the transcriptional level in response to oxygen tension. In vitro, C3 deposition on, and binding to, the surface of rat myocardial cells were significantly blocked by C1INH treatment. C1INH could inhibit classical complement-mediated cell lysis via suppressing the biological activity of C3. Therefore, C1INH, in addition to inhibition of the systemic complement activation, prevents myocardial cell injury via a direct inhibitory role in the local myocardial C3 activity.
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| 3. |
- Milford, Michael, et al.
(author)
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Sequence Searching With Deep-Learnt Depth for Condition- and Viewpoint-Invariant Route-Based Place Recognition
- 2015
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In: 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops. - : IEEE conference proceedings. ; , s. 18-25
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Conference paper (other academic/artistic)abstract
- Vision-based localization on robots and vehicles remains unsolved when extreme appearance change and viewpoint change are present simultaneously. The current state of the art approaches to this challenge either deal with only one of these two problems; for example FAB-MAP (viewpoint invariance) or SeqSLAM (appearance-invariance), or use extensive training within the test environment, an impractical requirement in many application scenarios. In this paper we significantly improve the viewpoint invariance of the SeqSLAM algorithm by using state-of-the-art deep learning techniques to generate synthetic viewpoints. Our approach is different to other deep learning approaches in that it does not rely on the ability of the CNN network to learn invariant features, but only to produce "good enough" depth images from day-time imagery only. We evaluate the system on a new multi-lane day-night car dataset specifically gathered to simultaneously test both appearance and viewpoint change. Results demonstrate that the use of synthetic viewpoints improves the maximum recall achieved at 100% precision by a factor of 2.2 and maximum recall by a factor of 2.7, enabling correct place recognition across multiple road lanes and significantly reducing the time between correct localizations.
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