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Acute appendicitis: transcript profiling of blood identifies promising biomarkers and potential underlying processes

BACKGROUND: The diagnosis of acute appendicitis can be surprisingly difficult without computed tomography, which carries significant radiation exposure. Circulating blood cells may carry informative changes in their RNA expression profile that would signal internal infection or inflammation of the a...

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Autores principales: Chawla, Lakhmir S., Toma, Ian, Davison, Danielle, Vaziri, Khashayar, Lee, Juliet, Lucas, Raymond, Seneff, Michael G., Nyhan, Aoibhinn, McCaffrey, Timothy A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4946184/
https://www.ncbi.nlm.nih.gov/pubmed/27417541
http://dx.doi.org/10.1186/s12920-016-0200-y
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author Chawla, Lakhmir S.
Toma, Ian
Davison, Danielle
Vaziri, Khashayar
Lee, Juliet
Lucas, Raymond
Seneff, Michael G.
Nyhan, Aoibhinn
McCaffrey, Timothy A.
author_facet Chawla, Lakhmir S.
Toma, Ian
Davison, Danielle
Vaziri, Khashayar
Lee, Juliet
Lucas, Raymond
Seneff, Michael G.
Nyhan, Aoibhinn
McCaffrey, Timothy A.
author_sort Chawla, Lakhmir S.
collection PubMed
description BACKGROUND: The diagnosis of acute appendicitis can be surprisingly difficult without computed tomography, which carries significant radiation exposure. Circulating blood cells may carry informative changes in their RNA expression profile that would signal internal infection or inflammation of the appendix. METHODS: Genome-wide expression profiling was applied to whole blood RNA of acute appendicitis patients versus patients with other abdominal disorders, in order to identify biomarkers of appendicitis. From a large cohort of emergency patients, a discovery set of patients with surgically confirmed appendicitis, or abdominal pain from other causes, was identified. RNA from whole blood was profiled by microarrays, and RNA levels were filtered by a combined fold-change (>2) and p value (<0.05). A separate set of patients, including patients with respiratory infections, was used to validate a partial least squares discriminant (PLSD) prediction model. RESULTS: Transcript profiling identified 37 differentially expressed genes (DEG) in appendicitis versus abdominal pain patients. The DEG list contained 3 major ontologies: infection-related, inflammation-related, and ribosomal processing. Appendicitis patients had lower level of neutrophil defensin mRNA (DEFA1,3), but higher levels of alkaline phosphatase (ALPL) and interleukin-8 receptor-ß (CXCR2/IL8RB), which was confirmed in a larger cohort of 60 patients using droplet digital PCR (ddPCR). CONCLUSIONS: Patients with acute appendicitis have detectable changes in the mRNA expression levels of factors related to neutrophil innate defense systems. The low defensin mRNA levels suggest that appendicitis patient’s immune cells are not directly activated by pathogens, but are primed by diffusible factors in the microenvironment of the infection. The detected biomarkers are consistent with prior evidence that biofilm-forming bacteria in the appendix may be an important factor in appendicitis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12920-016-0200-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-49461842016-07-16 Acute appendicitis: transcript profiling of blood identifies promising biomarkers and potential underlying processes Chawla, Lakhmir S. Toma, Ian Davison, Danielle Vaziri, Khashayar Lee, Juliet Lucas, Raymond Seneff, Michael G. Nyhan, Aoibhinn McCaffrey, Timothy A. BMC Med Genomics Research Article BACKGROUND: The diagnosis of acute appendicitis can be surprisingly difficult without computed tomography, which carries significant radiation exposure. Circulating blood cells may carry informative changes in their RNA expression profile that would signal internal infection or inflammation of the appendix. METHODS: Genome-wide expression profiling was applied to whole blood RNA of acute appendicitis patients versus patients with other abdominal disorders, in order to identify biomarkers of appendicitis. From a large cohort of emergency patients, a discovery set of patients with surgically confirmed appendicitis, or abdominal pain from other causes, was identified. RNA from whole blood was profiled by microarrays, and RNA levels were filtered by a combined fold-change (>2) and p value (<0.05). A separate set of patients, including patients with respiratory infections, was used to validate a partial least squares discriminant (PLSD) prediction model. RESULTS: Transcript profiling identified 37 differentially expressed genes (DEG) in appendicitis versus abdominal pain patients. The DEG list contained 3 major ontologies: infection-related, inflammation-related, and ribosomal processing. Appendicitis patients had lower level of neutrophil defensin mRNA (DEFA1,3), but higher levels of alkaline phosphatase (ALPL) and interleukin-8 receptor-ß (CXCR2/IL8RB), which was confirmed in a larger cohort of 60 patients using droplet digital PCR (ddPCR). CONCLUSIONS: Patients with acute appendicitis have detectable changes in the mRNA expression levels of factors related to neutrophil innate defense systems. The low defensin mRNA levels suggest that appendicitis patient’s immune cells are not directly activated by pathogens, but are primed by diffusible factors in the microenvironment of the infection. The detected biomarkers are consistent with prior evidence that biofilm-forming bacteria in the appendix may be an important factor in appendicitis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12920-016-0200-y) contains supplementary material, which is available to authorized users. BioMed Central 2016-07-15 /pmc/articles/PMC4946184/ /pubmed/27417541 http://dx.doi.org/10.1186/s12920-016-0200-y Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Chawla, Lakhmir S.
Toma, Ian
Davison, Danielle
Vaziri, Khashayar
Lee, Juliet
Lucas, Raymond
Seneff, Michael G.
Nyhan, Aoibhinn
McCaffrey, Timothy A.
Acute appendicitis: transcript profiling of blood identifies promising biomarkers and potential underlying processes
title Acute appendicitis: transcript profiling of blood identifies promising biomarkers and potential underlying processes
title_full Acute appendicitis: transcript profiling of blood identifies promising biomarkers and potential underlying processes
title_fullStr Acute appendicitis: transcript profiling of blood identifies promising biomarkers and potential underlying processes
title_full_unstemmed Acute appendicitis: transcript profiling of blood identifies promising biomarkers and potential underlying processes
title_short Acute appendicitis: transcript profiling of blood identifies promising biomarkers and potential underlying processes
title_sort acute appendicitis: transcript profiling of blood identifies promising biomarkers and potential underlying processes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4946184/
https://www.ncbi.nlm.nih.gov/pubmed/27417541
http://dx.doi.org/10.1186/s12920-016-0200-y
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