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Using gene expression data to identify certain gastro-intestinal diseases
BACKGROUND: Inflammatory bowel diseases, ulcerative colitis and Crohn’s disease are considered to be of autoimmune origin, but the etiology of irritable bowel syndrome remains elusive. Furthermore, classifying patients into irritable bowel syndrome and inflammatory bowel diseases can be difficult wi...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3599448/ https://www.ncbi.nlm.nih.gov/pubmed/23171526 http://dx.doi.org/10.1186/2043-9113-2-20 |
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author | Crooke, Philip S Tossberg, John T Horst, Sara N Tauscher, John L Henderson, Melodie A Beaulieu, Dawn B Schwartz, David A Olsen, Nancy J Aune, Thomas M |
author_facet | Crooke, Philip S Tossberg, John T Horst, Sara N Tauscher, John L Henderson, Melodie A Beaulieu, Dawn B Schwartz, David A Olsen, Nancy J Aune, Thomas M |
author_sort | Crooke, Philip S |
collection | PubMed |
description | BACKGROUND: Inflammatory bowel diseases, ulcerative colitis and Crohn’s disease are considered to be of autoimmune origin, but the etiology of irritable bowel syndrome remains elusive. Furthermore, classifying patients into irritable bowel syndrome and inflammatory bowel diseases can be difficult without invasive testing and holds important treatment implications. Our aim was to assess the ability of gene expression profiling in blood to differentiate among these subject groups. METHODS: Transcript levels of a total of 45 genes in blood were determined by quantitative real-time polymerase chain reaction (RT-PCR). We applied three separate analytic approaches; one utilized a scoring system derived from combinations of ratios of expression levels of two genes and two different support vector machines. RESULTS: All methods discriminated different subject cohorts, irritable bowel syndrome from control, inflammatory bowel disease from control, irritable bowel syndrome from inflammatory bowel disease, and ulcerative colitis from Crohn’s disease, with high degrees of sensitivity and specificity. CONCLUSIONS: These results suggest these approaches may provide clinically useful prediction of the presence of these gastro-intestinal diseases and syndromes. |
format | Online Article Text |
id | pubmed-3599448 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-35994482013-03-17 Using gene expression data to identify certain gastro-intestinal diseases Crooke, Philip S Tossberg, John T Horst, Sara N Tauscher, John L Henderson, Melodie A Beaulieu, Dawn B Schwartz, David A Olsen, Nancy J Aune, Thomas M J Clin Bioinforma Research BACKGROUND: Inflammatory bowel diseases, ulcerative colitis and Crohn’s disease are considered to be of autoimmune origin, but the etiology of irritable bowel syndrome remains elusive. Furthermore, classifying patients into irritable bowel syndrome and inflammatory bowel diseases can be difficult without invasive testing and holds important treatment implications. Our aim was to assess the ability of gene expression profiling in blood to differentiate among these subject groups. METHODS: Transcript levels of a total of 45 genes in blood were determined by quantitative real-time polymerase chain reaction (RT-PCR). We applied three separate analytic approaches; one utilized a scoring system derived from combinations of ratios of expression levels of two genes and two different support vector machines. RESULTS: All methods discriminated different subject cohorts, irritable bowel syndrome from control, inflammatory bowel disease from control, irritable bowel syndrome from inflammatory bowel disease, and ulcerative colitis from Crohn’s disease, with high degrees of sensitivity and specificity. CONCLUSIONS: These results suggest these approaches may provide clinically useful prediction of the presence of these gastro-intestinal diseases and syndromes. BioMed Central 2012-11-21 /pmc/articles/PMC3599448/ /pubmed/23171526 http://dx.doi.org/10.1186/2043-9113-2-20 Text en Copyright ©2012 Crooke et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Crooke, Philip S Tossberg, John T Horst, Sara N Tauscher, John L Henderson, Melodie A Beaulieu, Dawn B Schwartz, David A Olsen, Nancy J Aune, Thomas M Using gene expression data to identify certain gastro-intestinal diseases |
title | Using gene expression data to identify certain gastro-intestinal diseases |
title_full | Using gene expression data to identify certain gastro-intestinal diseases |
title_fullStr | Using gene expression data to identify certain gastro-intestinal diseases |
title_full_unstemmed | Using gene expression data to identify certain gastro-intestinal diseases |
title_short | Using gene expression data to identify certain gastro-intestinal diseases |
title_sort | using gene expression data to identify certain gastro-intestinal diseases |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3599448/ https://www.ncbi.nlm.nih.gov/pubmed/23171526 http://dx.doi.org/10.1186/2043-9113-2-20 |
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