Evidence map›Paper›PMID 23009705›Full record

ArticleBMC genomics2012

Transcriptomic analysis of peritoneal cells in a mouse model of sepsis: confirmatory and novel results in early and late sepsis.

Minny Bhatty, Ruping Fan, William M Muir, Stephen B Pruett, Bindu Nanduri

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Minny BhattyDepartment of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762, USA.
Ruping Fan
William M Muir
Stephen B Pruett
Bindu Nanduri
Mississippi State University · USLouisiana State University Health Sciences Center Shreveport · USPurdue University West Lafayette · US

Funding

Training and Mentoring Core P20GM103476 · NIGMS · UNIVERSITY OF SOUTHERN MISSISSIPPI · PI MICHAEL R GARRETT · 2012 to 2026
$60.2M
TOUGALOO PROTEOMICSP20RR016476 · NCRR · UNIVERSITY OF SOUTHERN MISSISSIPPI · PI SHEARER, GLEN · 2001 to 2011
$30.4M
MECHANISMS OF IMMUNOSUPPRESSION BY ONE DOSE OF ETHANOLR01AA009505 · NIAAA · MISSISSIPPI STATE UNIVERSITY · PI PRUETT, STEPHEN B · 1994 to 2007
$1.5M
Mechanisms of methyl dithiocarbamate immunotoxicityR01ES013708 · NIEHS · MISSISSIPPI STATE UNIVERSITY · PI PRUETT, STEPHEN B · 2006 to 2010
$1.4M
NCRR NIH HHS 5P20RR016476-11NIAAA NIH HHS R01AA009505NIGMS NIH HHS 8 P20 GM103476-11
6 · The paper itself

Abstract

backgroundThe events leading to sepsis start with an invasive infection of a primary organ of the body followed by an overwhelming systemic response. Intra-abdominal infections are the second most common cause of sepsis. Peritoneal fluid is the primary site of infection in these cases. A microarray-based approach was used to study the temporal changes in cells from the peritoneal cavity of septic mice and to identify potential biomarkers and therapeutic targets for this subset of sepsis patients.

resultsWe conducted microarray analysis of the peritoneal cells of mice infected with a non-pathogenic strain of Escherichia coli. Differentially expressed genes were identified at two early (1 h, 2 h) and one late time point (18 h). A multiplexed bead array analysis was used to confirm protein expression for several cytokines which showed differential expression at different time points based on the microarray data. Gene Ontology based hypothesis testing identified a positive bias of differentially expressed genes associated with cellular development and cell death at 2 h and 18 h respectively. Most differentially expressed genes common to all 3 time points had an immune response related function, consistent with the observation that a few bacteria are still present at 18 h.

conclusionsTranscriptional regulators like PLAGL2, EBF1, TCF7, KLF10 and SBNO2, previously not described in sepsis, are differentially expressed at early and late time points. Expression pattern for key biomarkers in this study is similar to that reported in human sepsis, indicating the suitability of this model for future studies of sepsis, and the observed differences in gene expression suggest species differences or differences in the response of blood leukocytes and peritoneal leukocytes.

Indexed as

AnimalsCells, CulturedDisease Models, AnimalDNA-Binding ProteinsEarly Growth Response Transcription FactorsEscherichia coliEscherichia coli InfectionsFemaleGene ExpressionGene Expression ProfilingGene Expression RegulationGenetic MarkersHepatocyte Nuclear Factor 1-alphaIntraabdominal InfectionsKruppel-Like Transcription FactorsMiceDNA-Binding ProteinsEarly Growth Response Transcription FactorsEbf1 protein, mouseGenetic MarkersHepatocyte Nuclear Factor 1-alphaHnf1a protein, mouseKLF10 protein, mouseKruppel-Like Transcription FactorsPlagl2 protein, mouseRepressor ProteinsRNA-Binding ProteinsSBNO2 protein, mouseT Cell Transcription Factor 1Trans-ActivatorsTranscription Factors

Identifiers

PMID23009705
PMCPMC3621573
OpenAlexW2058270691

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.