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Human tissue in systems medicine

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Caie_etal_febs12550.pdf (492.4Kb)
Date
12/2013
Author
Caie, Peter David
Schuur, Klaas
Oniscu, Anca
Mullen, Peter
Reynolds, Paul Andrew
Harrison, David James
Keywords
Histopathology
Human disease
Predictive models
Systems biology
Systems medicine
RB Pathology
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Abstract
Histopathology, the examination of an architecturally artefactual, two dimensional, static image remains a potent tool allowing diagnosis and empirical expectation of prognosis. Considerable optimism exists that the advent of molecular genetic testing and other biomarker strategies will improve or even replace this ancient technology. A number of biomarkers add considerable value for prediction of whether a treatment will work. This short review argues that a systems medicine approach to pathology will not seek to replace traditional pathology, but rather augment it. Systems approaches need to incorporate quantitative morphological, protein, mRNA and DNA. A significant challenge for clinical implementation of systems pathology is how to optimise information available from tissue, which is frequently sub-optimal in quality and amount, and yet generate useful predictive models which work. The transition of histopathology to systems pathophysiology and the use of multiscale datasets ushers in a new era in diagnosis, prognosis and prediction based on analysis of human tissue.
Citation
Caie , P D , Schuur , K , Oniscu , A , Mullen , P , Reynolds , P A & Harrison , D J 2013 , ' Human tissue in systems medicine ' , FEBS Journal , vol. 280 , no. 23 , pp. 5949–5956 . https://doi.org/10.1111/febs.12550
Publication
FEBS Journal
Status
Peer reviewed
DOI
https://doi.org/10.1111/febs.12550
ISSN
1742-464X
Type
Journal item
Rights
© 2013 The Authors. FEBS Journal published by John Wiley & Sons Ltd on behalf of FEBS This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
Collections
  • Biomedical Sciences Research Complex (BSRC) Research
  • Medicine Research
  • University of St Andrews Research
URI
http://hdl.handle.net/10023/4311

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