Evidence map›Paper›PMID 30886940›Full record

ArticleCurrent opinion in systems biology2018

Inflammation and Disease: Modelling and Modulation of the Inflammatory Response to Alleviate Critical Illness.

Judy D Day, Chase Cockrell, Rami Namas, Ruben Zamora, Gary An, Yoram Vodovotz

Abstract read
In one paragraph

Article in Current opinion in systems biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Embracing complexity in sepsis.Critical care (London, England) · 2023
    Review
  5. What's next for computational systems biology?Frontiers in systems biology · 2023
    Review
  6. Review
  7. Article
  8. Review
  9. Article
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.

Judy D DayDepartments of Mathematics and Electrical Engineering & Computer Science, University of Tennessee, USA.
Chase CockrellDepartment of Surgery, University of Chicago, USA.
Rami NamasMcGowan Institute for Regenerative Medicine, University of Pittsburgh, USA.
Ruben ZamoraMcGowan Institute for Regenerative Medicine, University of Pittsburgh, USA.
Gary AnDepartment of Surgery, University of Chicago, USA.
Yoram VodovotzMcGowan Institute for Regenerative Medicine, University of Pittsburgh, USA.

Funding

Multi-Center Group to Study Acute Liver Failure in ChildU01DK072146 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SQUIRES, ROBERT H · 2005 to 2014
$23.2M
Regulation of Intestinal Mucosal Injury & Repair After Trauma/Hemorrhagic ShockP50GM053789 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BILLIAR, TIMOTHY R · 1997 to 2013
$18.0M
Modeling Brainstem Inflammation's Role in Systemic Dysfunction during SepsisU01EB021960 · NIBIB · CASE WESTERN RESERVE UNIVERSITY · PI DICK, THOMAS E · 2017 to 2020
$2.6M
Agent-based Models to address the Crisis of Reproducibility and Precision MedicineU01EB025825 · NIBIB · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI AN, GARY, FAISSOL, DANIEL M · 2018 to 2021
$2.3M
Beagle-2S10OD018495 · OD · UNIVERSITY OF CHICAGO · PI FOSTER, IAN · 2014 to 2014
$2.0M
Adaptive Simulation to Enable Anatomic-scale Agent-basedR01GM115839 · NIGMS · UNIVERSITY OF CHICAGO · PI AN, GARY, MACAL, CHARLES MARTIN · 2015 to 2017
$1.2M
A Biohybrid Device for Regulating Inflammation in SepsisR01GM107231 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GERLACH, JOERG C., VODOVOTZ, YORAM · 2015 to 2017
$1.0M
NIBIB NIH HHS U01 EB021960NIBIB NIH HHS U01 EB025825NIDDK NIH HHS U01 DK072146NIGMS NIH HHS P50 GM053789NIGMS NIH HHS R01 GM107231NIGMS NIH HHS R01 GM115839NIH HHS S10 OD018495
6 · The paper itself

Abstract

Critical illness, a constellation of interrelated inflammatory and physiological derangements occurring subsequent to severe infection or injury, affects a large number of individuals in both developed and developing countries. The prototypical complex system embodied in critical illness has largely defied therapy beyond supportive care. We have focused on the utility of data-driven and mechanistic computational modelling to help address the complexity of critical illness and provide pathways towards discovering potential therapeutic options and combinations. Herein, we review recent progress in this field, with a focus on both animal and computational models of critical illness. We suggest that therapy for critical illness can be posed as a model-based dynamic control problem, and discuss novel theoretical and experimental approaches involving biohybrid devices aimed at reprogramming inflammation dynamically. Together, these advances offer the potential for Model-based Precision Medicine for critical illness.

Identifiers

PMID30886940
PMCPMC6420220

What OpenQuestion holds

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Registered trials

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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.