Evidence map›Paper›PMID 18270561›Full record

ArticlePloS one2008

Plasticity of the systemic inflammatory response to acute infection during critical illness: development of the riboleukogram.

Jonathan E McDunn, Kareem D Husain, Ashoka D Polpitiya, Anton Burykin, Jianhua Ruan, Qing Li, William Schierding, Nan Lin, David Dixon, Weixiong Zhang and 5 more

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in PloS one, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.

  1. Pooled it
  2. Investigating PIKReports of biochemistry & molecular biology · 2018
    Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. A Chemical Engineer's Perspective on Health and Disease.Computers & chemical engineering · 2014
    Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Sepsis: from pattern to mechanism and back.Critical reviews in biomedical engineering · 2012
    Review
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

15 authors at 1 institution in 1 country.

Jonathan E McDunnCenter for Critical Illness and Health Engineering, Department of Surgery, Washington University in St. Louis, St. Louis, Missouri, USA.
Kareem D Husain
Ashoka D Polpitiya
Anton Burykin
Jianhua Ruan
Qing Li
William Schierding
Nan Lin
David Dixon
Weixiong Zhang
Craig M Coopersmith
W Michael Dunne
Marco Colonna
Bijoy K Ghosh
J Perren Cobb
Washington University in St. Louis · US

Funding

POSTDOCTORAL TRAINING PROGRAM IN CRITICAL CARET32GM008795 · NIGMS · WASHINGTON UNIVERSITY · PI HOTCHKISS, RICHARD SAMUEL · 2001 to 2010
$1.6M
Untangling Infection from Inflammation: PneumoniaR21GM075023 · NIGMS · WASHINGTON UNIVERSITY · PI COBB, J PERREN · 2005 to 2006
$415k
NIGMS NIH HHS GM008795NIGMS NIH HHS GM075023NIGMS NIH HHS R21 GM075023NIGMS NIH HHS T32 GM008795
6 · The paper itself

Abstract

backgroundDiagnosis of acute infection in the critically ill remains a challenge. We hypothesized that circulating leukocyte transcriptional profiles can be used to monitor the host response to and recovery from infection complicating critical illness. METHODOLOGY/PRINCIPAL

findingsA translational research approach was employed. Fifteen mice underwent intratracheal injections of live P. aeruginosa, P. aeruginosa endotoxin, live S. pneumoniae, or normal saline. At 24 hours after injury, GeneChip microarray analysis of circulating buffy coat RNA identified 219 genes that distinguished between the pulmonary insults and differences in 7-day mortality. Similarly, buffy coat microarray expression profiles were generated from 27 mechanically ventilated patients every two days for up to three weeks. Significant heterogeneity of VAP microarray profiles was observed secondary to patient ethnicity, age, and gender, yet 85 genes were identified with consistent changes in abundance during the seven days bracketing the diagnosis of VAP. Principal components analysis of these 85 genes appeared to differentiate between the responses of subjects who did versus those who did not develop VAP, as defined by a general trajectory (riboleukogram) for the onset and resolution of VAP. As patients recovered from critical illness complicated by acute infection, the riboleukograms converged, consistent with an immune attractor. CONCLUSIONS/SIGNIFICANCE: Here we present the culmination of a mouse pneumonia study, demonstrating for the first time that disease trajectories derived from microarray expression profiles can be used to quantitatively track the clinical course of acute disease and identify a state of immune recovery. These data suggest that the onset of an infection-specific transcriptional program may precede the clinical diagnosis of pneumonia in patients. Moreover, riboleukograms may help explain variance in the host response due to differences in ethnic background, gender, and pathogen. Prospective clinical trials are indicated to validate our results and test the clinical utility of riboleukograms.

Indexed as

Diagnostic Techniques, Respiratory SystemGene Expression ProfilingLeukocytesAcute DiseaseAnimalsCritical IllnessHumansMethodsMiceOligonucleotide Array Sequence AnalysisPneumoniaPneumonia, Ventilator-AssociatedSystemic Inflammatory Response SyndromeTranscription, Genetic

Identifiers

PMID18270561
PMCPMC2215774
OpenAlexW2000722665

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.