Evidence map›Paper›PMID 26468651›Full record

ArticlePLoS computational biology2015

A Neutrophil Phenotype Model for Extracorporeal Treatment of Sepsis.

Alexander D Malkin, Robert P Sheehan, Shibin Mathew, William J Federspiel, Heinz Redl, Gilles Clermont

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 16 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Evaluation of Parallel Tempering to Accelerate Bayesian Parameter Estimation in Systems Biology.Proceedings. Euromicro International Conference on Parallel, Distributed, and Network-based Processing · 2018
    Article
  6. 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

6 authors at 3 institutions in 2 countries.

Alexander D MalkinMcGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America; Department of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Robert P SheehanDepartment of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Shibin MathewDepartment of Chemical and Petroleum Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
William J FederspielMcGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America; Department of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America; Department of Chemical and Petroleum Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America; Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Heinz RedlLudwig Boltzmann Institute for Experimental and Clinical Traumatology in AUVA center, Vienna, Austria.
Gilles ClermontCRISMA Center, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
University of Pittsburgh · USMcGowan Institute for Regenerative Medicine · USLudwig Boltzmann Institute for Experimental and Clinical Traumatology · AT

Funding

Cardiovascular Bioengineering Training ProgramT32HL076124 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SANJEEV G SHROFF · 2005 to 2026
$7.0M
Autoimmunity and Immunopathology Training ProgramT32AI089443 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SHLOMCHIK, MARK J · 2010 to 2024
$6.6M
Integrated Interdisciplinary, inter-university PhD Program Computational Biology (T32)T32EB009403 · NIBIB · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BAHAR, IVET, BAR-JOSEPH, ZIV · 2009 to 2023
$4.4M
Model-Based Decisions in SepsisR01GM105728 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CLERMONT, GILLES · 2014 to 2017
$1.1M
NHLBI NIH HHS T32 HL076124NIAID NIH HHS T32 AI089443NIBIB NIH HHS T32 EB009403NIBIB NIH HHS T32EB009403NIGMS NIH HHS GM105728-02NIGMS NIH HHS R01 GM105728Wellcome Trust
6 · The paper itself

Abstract

Neutrophils play a central role in eliminating bacterial pathogens, but may also contribute to end-organ damage in sepsis. Interleukin-8 (IL-8), a key modulator of neutrophil function, signals through neutrophil specific surface receptors CXCR-1 and CXCR-2. In this study a mechanistic computational model was used to evaluate and deploy an extracorporeal sepsis treatment which modulates CXCR-1/2 levels. First, a simplified mechanistic computational model of IL-8 mediated activation of CXCR-1/2 receptors was developed, containing 16 ODEs and 43 parameters. Receptor level dynamics and systemic parameters were coupled with multiple neutrophil phenotypes to generate dynamic populations of activated neutrophils which reduce pathogen load, and/or primed neutrophils which cause adverse tissue damage when misdirected. The mathematical model was calibrated using experimental data from baboons administered a two-hour infusion of E coli and followed for a maximum of 28 days. Ensembles of parameters were generated using a Bayesian parallel tempering approach to produce model fits that could recreate experimental outcomes. Stepwise logistic regression identified seven model parameters as key determinants of mortality. Sensitivity analysis showed that parameters controlling the level of killer cell neutrophils affected the overall systemic damage of individuals. To evaluate rescue strategies and provide probabilistic predictions of their impact on mortality, time of onset, duration, and capture efficacy of an extracorporeal device that modulated neutrophil phenotype were explored. Our findings suggest that interventions aiming to modulate phenotypic composition are time sensitive. When introduced between 3-6 hours of infection for a 72 hour duration, the survivor population increased from 31% to 40-80%. Treatment efficacy quickly diminishes if not introduced within 15 hours of infection. Significant harm is possible with treatment durations ranging from 5-24 hours, which may reduce survival to 13%. In severe sepsis, an extracorporeal treatment which modulates CXCR-1/2 levels has therapeutic potential, but also potential for harm. Further development of the computational model will help guide optimal device development and determine which patient populations should be targeted by treatment.

Indexed as

Models, ImmunologicalAnimalsBlood Component RemovalComputer SimulationExtracorporeal CirculationNeutrophilsPapioPrognosisReceptors, CXCRReceptors, Interleukin-8AReceptors, Interleukin-8BSepsisSurvival RateTreatment OutcomeReceptors, CXCRReceptors, Interleukin-8AReceptors, Interleukin-8B

Identifiers

PMID26468651
PMCPMC4607502
OpenAlexW2149565502

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.