Document Detail


Exercise-induced immune cell apoptosis: image-based model for morphological assessment.
MedLine Citation:
PMID:  20490823     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Methods of assessing exercise-induced lymphocyte apoptosis have produced varying results. While morphological methods generally yield a significantly greater apoptotic index compared to those employing biochemical markers, benefits and limitations are associated with each methodology. Of interest in this report is the limitation of subjectivity associated with the morphological technique. To overcome the lack of objectivity associated with the morphological method, we describe an image-based approach by which computer software assesses the characteristics associated with lymphocyte apoptosis. A stochastic controlled deformable model can be employed to detect the classic morphological apoptotic changes induced by exercise, including membrane blebbing and the formation of apoptotic bodies. We propose that an objective evaluation of multiple points in the apoptotic process through the proposed model in conjunction with current biomarker methods has the potential to advance our understanding of the exercise-induced immune cell death response to a greater degree than current methods.
Authors:
James W Navalta; Refaat Mohamed; Ayman El-Baz; Brian K McFarlin; T Scott Lyons
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Publication Detail:
Type:  Comparative Study; Journal Article     Date:  2010-05-20
Journal Detail:
Title:  European journal of applied physiology     Volume:  110     ISSN:  1439-6327     ISO Abbreviation:  Eur. J. Appl. Physiol.     Publication Date:  2010 Sep 
Date Detail:
Created Date:  2010-08-27     Completed Date:  2010-12-13     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  100954790     Medline TA:  Eur J Appl Physiol     Country:  Germany    
Other Details:
Languages:  eng     Pagination:  325-31     Citation Subset:  IM    
Affiliation:
Department of Kinesiology, Recreation, and Sport, Western Kentucky University, Bowling Green, KY 42101-1089, USA. james.navalta@wku.edu
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MeSH Terms
Descriptor/Qualifier:
Annexin A5 / blood
Apoptosis*
Biological Markers / blood
Exercise*
Flow Cytometry
Humans
Image Processing, Computer-Assisted*
Lymphocytes / metabolism,  pathology*
Male
Microscopy*
Models, Statistical*
Probability
Reproducibility of Results
Software
Staining and Labeling*
Stochastic Processes
Chemical
Reg. No./Substance:
0/Annexin A5; 0/Biological Markers

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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