Evidence map›Paper›PMID 19903332›Full record

ArticleGenome biology2009

Genomic transcriptional profiling identifies a candidate blood biomarker signature for the diagnosis of septicemic melioidosis.

Rungnapa Pankla, Surachat Buddhisa, Matthew Berry, Derek M Blankenship, Gregory J Bancroft, Jacques Banchereau, Ganjana Lertmemongkolchai, Damien Chaussabel

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 141 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
141citing papers in PubMed, 4 pooled it
3.7field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

141 citing papers in PubMed, 4 syntheses or guidelines pooled it, 209 citations in OpenAlex.

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  9. Gene expression profiles in febrile children with defined viral and bacterial infection.Proceedings of the National Academy of Sciences of the United States of America · 2013
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81 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 3 countries.

Rungnapa PanklaDepartment of Clinical Immunology, Centre for Research and Development of Medical Diagnostic Laboratories, Faculty of Associated Medical Sciences, Khon Kaen University, 123 Mittraparp Road, Khon Kaen, 40002, Thailand. Vrungnapa@gmail.com
Surachat Buddhisa
Matthew Berry
Derek M Blankenship
Gregory J Bancroft
Jacques Banchereau
Ganjana Lertmemongkolchai
Damien Chaussabel
Khon Kaen University · THBaylor Scott & White Health · USUniversity of London · GB

Funding

Targeting Dendritic Cells for Enhanced Musocal ImmunityU19AI057234 · NIAID · BAYLOR RESEARCH INSTITUTE · PI SEKALY, RAFICK PIERRE · 2003 to 2013
$49.2M
Blood Transcriptional Biomarker Profiles for Category B PathogensU01AI082110 · NIAID · BENAROYA RESEARCH INST AT VIRGINIA MASON · PI LINSLEY, PETER S · 2009 to 2013
$6.3M
Scanning B. pseudomallei proteome for vaccine antigensU01AI061363 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI FELGNER, PHILIP LOUIS · 2004 to 2008
$5.7M
NIAID NIH HHS AI-61363NIAID NIH HHS U01 AI082110NIAID NIH HHS U19 AI057234PHS HHS U19 AIO57234-02
6 · The paper itself

Abstract

backgroundMelioidosis is a severe infectious disease caused by Burkholderia pseudomallei, a Gram-negative bacillus classified by the National Institute of Allergy and Infectious Diseases (NIAID) as a category B priority agent. Septicemia is the most common presentation of the disease with a 40% mortality rate even with appropriate treatments. Better diagnostic tests are therefore needed to improve therapeutic efficacy and survival rates.

resultsWe have used microarray technology to generate genome-wide transcriptional profiles (>48,000 transcripts) from the whole blood of patients with septicemic melioidosis (n = 32), patients with sepsis caused by other pathogens (n = 31), and uninfected controls (n = 29). Unsupervised analyses demonstrated the existence of a whole blood transcriptional signature distinguishing patients with sepsis from control subjects. The majority of changes observed were common to both septicemic melioidosis and sepsis caused by other infections, including genes related to inflammation, interferon-related genes, neutrophils, cytotoxic cells, and T-cells. Finally, class prediction analysis identified a 37 transcript candidate diagnostic signature that distinguished melioidosis from sepsis caused by other organisms with 100% accuracy in a training set. This finding was confirmed in 2 independent validation sets, which gave high prediction accuracies of 78% and 80%, respectively. This signature was significantly enriched in genes coding for products involved in the MHC class II antigen processing and presentation pathway.

conclusionsBlood transcriptional patterns distinguish patients with septicemic melioidosis from patients with sepsis caused by other pathogens. Once confirmed in a large scale trial this diagnostic signature might constitute the basis of a differential diagnostic assay.

Indexed as

BiomarkersGene Expression ProfilingGenomicsTranscription, GeneticAdultAgedBurkholderia pseudomalleiCase-Control StudiesFemaleHumansMaleMelioidosisMiddle AgedModels, GeneticOligonucleotide Array Sequence AnalysisSepsisBiomarkers

Identifiers

PMID19903332
PMCPMC3091321
OpenAlexW2150817630

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.