Document Detail


Raman microspectroscopic mapping studies of human bronchial tissue.
MedLine Citation:
PMID:  15568939     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Characterization of the biochemical composition of normal bronchial tissue is a prerequisite for understanding the biochemical changes that accompany histological changes during lung cancer development. In this study, 12 Raman microspectroscopic mapping experiments are performed on frozen sections of normal bronchial tissue. Pseudocolor Raman images are constructed using principal component analysis and K-means cluster analysis. Subsequent comparison of Raman images with histologic evaluation of stained sections enables the identification of the morphologic origin (e.g., bronchial mucus, epithelium, fibrocollagenous stroma, smooth muscle, glandular tissue, and cartilage) of the spectral features. Raman spectra collected from the basal side of epithelium consistently show higher DNA contributions and lower lipid contributions when compared with superficial epithelium spectra. Spectra of bronchial mucus reveal a strong signal contribution of lipids, predominantly triolein. These spectra are almost identical to the spectra obtained from submucosal glands, which suggests that the bronchial mucus is mainly composed of gland secretions. Different parts of fibrocollagenous tissue are distinguished by differences in spectral contributions from collagen and actin/myosin. Cartilage is identified by spectral contributions of glycosaminoglycans and collagen. As demonstrated here, in situ analysis of the molecular composition of histologic structures by Raman microspectroscopic mapping creates powerful opportunities for increasing our fundamental understanding of tissue organization and function. Moreover, it provides a firm basis for further in vitro and in vivo investigations of the biochemical changes that accompany pathologic transformation of tissue.
Authors:
Senada Koljenović; Tom C Bakker Schut; Jan P van Meerbeeck; Alexander P W M Maat; Sjaak A Burgers; Pieter E Zondervan; Johan M Kros; Gerwin J Puppels
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Publication Detail:
Type:  Evaluation Studies; Journal Article    
Journal Detail:
Title:  Journal of biomedical optics     Volume:  9     ISSN:  1083-3668     ISO Abbreviation:  J Biomed Opt     Publication Date:    2004 Nov-Dec
Date Detail:
Created Date:  2004-11-30     Completed Date:  2005-03-23     Revised Date:  2005-11-17    
Medline Journal Info:
Nlm Unique ID:  9605853     Medline TA:  J Biomed Opt     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1187-97     Citation Subset:  IM    
Copyright Information:
Copyright 2004 Society of Photo-Optical Instrumentation Engineers.
Affiliation:
Erasmus Medical Center Rotterdam, Department of General Surgery, Laboratory of Intensive Care Research and Optical Spectroscopy, Rotterdam, The Netherlands.
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Biological Markers / metabolism
Bronchi / chemistry,  cytology*,  metabolism*
Coculture Techniques / methods
Humans
Image Interpretation, Computer-Assisted / methods*
Lipid Metabolism*
Lipids / analysis
Microscopy, Confocal / methods*
Respiratory Mucosa / chemistry,  cytology,  metabolism
Spectrum Analysis, Raman / methods*
Tissue Distribution
Chemical
Reg. No./Substance:
0/Biological Markers; 0/Lipids

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


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