About: Molecular Diagnostics in Sepsis: From Bedside to Bench

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Molecular Diagnostics in Sepsis: From Bedside to Bench
Creator	Ding, Huashi Downey, Thomas Karl, Irene Hotchkiss, Richard Buchman, Timothy »more»
source	Elsevier; Medline; PMC
abstract	BACKGROUND: Based on recent in vitro data, we tested the hypothesis that microarray expression profiles can be used to diagnose sepsis, distinguishing in vivo between sterile and infectious causes of systemic inflammation. STUDY DESIGN: Exploratory studies were conducted using spleens from septic patients and from mice with abdominal sepsis. Seven patients with sepsis after injury were identified retrospectively and compared with six injured patients. C57BL/6 male mice were subjected to cecal ligation and puncture, or to IP lipopolysaccharide. Control mice had sham laparotomy or injection of IP saline, respectively. A sepsis classification model was created and tested on blood samples from septic mice. RESULTS: Accuracy of sepsis prediction was obtained using cross-validation of gene expression data from 12 human spleen samples and from 16 mouse spleen samples. For blood studies, classifiers were constructed using data from a training data set of 26 microarrays. The error rate of the classifiers was estimated on seven de-identified microarrays, and then on a subsequent cross-validation for all 33 blood microarrays. Estimates of classification accuracy of sepsis in human spleen were 67.1%; in mouse spleen, 96%; and in mouse blood, 94.4% (all estimates were based on nested cross-validation). Lists of genes with substantial changes in expression between study and control groups were used to identify nine mouse common inflammatory response genes, six of which were mapped into a single pathway using contemporary pathway analysis tools. CONCLUSIONS: Sepsis induces changes in mouse leukocyte gene expression that can be used to diagnose sepsis apart from systemic inflammation.
has issue date	2006-09-11(xsd:dateTime)
bibo:doi	10.1016/j.jamcollsurg.2006.06.028
bibo:pmid	17084318
has license	no-cc
sha1sum (hex)	ee063d46fafc0b7fd82c3c5a84c39be77fdcf986
schema:url	https://doi.org/10.1016/j.jamcollsurg.2006.06.028
resource representing a document's title	Molecular Diagnostics in Sepsis: From Bedside to Bench
has PubMed Central identifier	PMC7118893
has PubMed identifier	17084318
schema:publication	J Am Coll Surg
resource representing a document's body	covid:ee063d46fafc0b7fd82c3c5a84c39be77fdcf986#body_text
is schema:about of	named entity 'systemic inflammation' named entity 'mice' named entity 'BLOOD SAMPLES' named entity 'SHAM' named entity 'CLASSIFICATION MODEL' »more»

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