Evidence map›Paper›PMID 24584064›Full record

ArticleCritical care medicine2014

Inducible protein-10, a potential driver of neurally controlled interleukin-10 and morbidity in human blunt trauma.

Akram M Zaaqoq, Rami Namas, Khalid Almahmoud, Nabil Azhar, Qi Mi, Ruben Zamora, David M Brienza, Timothy R Billiar, Yoram Vodovotz

Open access · greenAbstract readComparative Study
In one paragraph

Article in Critical care medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
5.7field-weighted citation impact, top 3% 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

37 citing papers in PubMed, 54 citations in OpenAlex.

  1. Trial
  2. Traumatic inflammatory response: pathophysiological role and clinical value of cytokines.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2024
    Review
  3. Review
  4. Article
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  6. Neuroprotective effects of interleukin 10 in spinal cord injury.Frontiers in molecular neuroscience · 2023
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Akram M Zaaqoq1Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA. 2Department of Surgery, University of Pittsburgh, Pittsburgh, PA. 3Center for Inflammation and Regenerative Modeling, McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA. 4Department of Sports Medicine and Nutrition, University of Pittsburgh, Pittsburgh, PA. 5Department of Rehabilitation Science and Technology, University of Pittsburgh, Pittsburgh, PA. 6Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA.
Rami Namas
Khalid Almahmoud
Nabil Azhar
Qi Mi
Ruben Zamora
David M Brienza
Timothy R Billiar
Yoram Vodovotz
University of Pittsburgh · USMcGowan Institute for Regenerative Medicine · US

Funding

Regulation of Intestinal Mucosal Injury & Repair After Trauma/Hemorrhagic ShockP50GM053789 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI VODOVOTZ, YORAM · 1997 to 2013
$18.0M
NIGMS NIH HHS P50 GM053789NIGMS NIH HHS P50-GM-53789NIGMS NIH HHS P50-GM-53789-08PHS HHS H133E070024
6 · The paper itself

Abstract

objectiveBlunt trauma and traumatic spinal cord injury induce systemic inflammation that contributes to morbidity. Dysregulated neural control of systemic inflammation postinjury is likely exaggerated in patients with traumatic spinal cord injury. We used in silico methods to discern dynamic inflammatory networks that could distinguish systemic inflammation in traumatic spinal cord injury from blunt trauma.

designRetrospective study. SETTINGS: Tertiary care institution. PATIENTS: Twenty-one severely injured thoracocervical traumatic spinal cord injury patients and matched 21 severely injured blunt trauma patients without spinal cord injury.

interventionNone. MEASUREMENTS AND MAIN

resultsSerial blood samples were obtained from days 1 to 14 postinjury. Twenty-four plasma inflammatory mediators were quantified. Statistical significance between the two groups was determined by two-way analysis of variance. Dynamic Bayesian network inference was used to suggest dynamic connectivity and central inflammatory mediators. Circulating interleukin-10 was significantly elevated in thoracocervical traumatic spinal cord injury group versus non-spinal cord injury group, whereas interleukin-1β, soluble interleukin-2 receptor-α, interleukin-4, interleukin-5, interleukin-7, interleukin-13, interleukin-17, macrophage inflammatory protein 1α and 1β, granulocyte-macrophage colony-stimulating factor, and interferon-γ were significantly reduced in traumatic spinal cord injury group versus non-spinal cord injury group. Dynamic Bayesian network suggested that post-spinal cord injury interleukin-10 is driven by inducible protein-10, whereas monocyte chemotactic protein-1 was central in non-spinal cord injury dynamic networks. In a separate validation cohorts of 356 patients without spinal cord injury and 85 traumatic spinal cord injury patients, individuals with plasma inducible protein-10 levels more than or equal to 730 pg/mL had significantly prolonged hospital and ICU stay and days on mechanical ventilator versus patients with plasma inducible protein-10 level less than 730 pg/mL.

conclusionThis is the first study to compare the dynamic systemic inflammatory responses of traumatic spinal cord injury patients versus patients without spinal cord injury, suggesting a key role for inducible protein-10 in driving systemic interleukin-10 and morbidity and highlighting the potential utility of in silico tools to identify key inflammatory drivers.

Indexed as

AdultAnalysis of VarianceArea Under CurveBiomarkersChemokine CXCL10ChemokinesCohort StudiesComputer SimulationCytokinesFemaleHumansInflammationInjury Severity ScoreInterleukin-10Length of StayMaleBiomarkersChemokine CXCL10ChemokinesCXCL10 protein, humanCytokinesInterleukin-10Nitrogen Oxides

Identifiers

PMID24584064
PMCPMC4133186
OpenAlexW2414870157

What OpenQuestion holds

Textmetadata
LicenceTDM
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.