Evidence map›Paper›PMID 30399158›Full record

ArticlePLoS computational biology2018

A computational analysis of dynamic, multi-organ inflammatory crosstalk induced by endotoxin in mice.

Ruben Zamora, Sebastian Korff, Qi Mi, Derek Barclay, Lukas Schimunek, Riccardo Zucca, Xerxes D Arsiwalla, Richard L Simmons, Paul Verschure, Timothy R Billiar and 1 more

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 32% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Organ crosstalk and dysfunction in sepsis.Annals of intensive care · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. IRF3 Signaling within the Mouse Stroma Influences Sepsis Pathogenesis.Journal of immunology (Baltimore, Md. : 1950) · 2021
    Article
  16. Article
  17. Article
  18. 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

11 authors at 3 institutions in 3 countries.

Ruben ZamoraDepartment of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.ORCID 0000-0003-3882-9087
Sebastian KorffDepartment of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Qi MiCenter for Inflammation and Regenerative Modeling, McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.ORCID 0000-0002-0197-8671
Derek BarclayDepartment of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Lukas SchimunekDepartment of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Riccardo ZuccaSPECS, ETIC, Universitat Pompeu Fabra, Barcelona, Spain.ORCID 0000-0003-4808-6010
Xerxes D ArsiwallaSPECS, ETIC, Universitat Pompeu Fabra, Barcelona, Spain.
Richard L SimmonsDepartment of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Paul VerschureSPECS, ETIC, Universitat Pompeu Fabra, Barcelona, Spain.
Timothy R BilliarDepartment of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.ORCID 0000-0002-2949-0811
Yoram VodovotzDepartment of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
University of Pittsburgh · USUniversitat Pompeu Fabra · ESInstitució Catalana de Recerca i Estudis Avançats · ES

Funding

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
NIGMS NIH HHS R01 GM107231
6 · The paper itself

Abstract

Bacterial lipopolysaccharide (LPS) induces an acute inflammatory response across multiple organs, primarily via Toll-like receptor 4 (TLR4). We sought to define novel aspects of the complex spatiotemporal dynamics of LPS-induced inflammation using computational modeling, with a special focus on the timing of pathological systemic spillover. An analysis of principal drivers of LPS-induced inflammation in the heart, gut, lung, liver, spleen, and kidney to assess organ-specific dynamics, as well as in the plasma (as an assessment of systemic spillover), was carried out using data on 20 protein-level inflammatory mediators measured over 0-48h in both C57BL/6 and TLR4-null mice. Using a suite of computational techniques, including a time-interval variant of Principal Component Analysis, we confirm key roles for cytokines such as tumor necrosis factor-α and interleukin-17A, define a temporal hierarchy of organ-localized inflammation, and infer the point at which organ-localized inflammation spills over systemically. Thus, by employing a systems biology approach, we obtain a novel perspective on the time- and organ-specific components in the propagation of acute systemic inflammation.

Indexed as

InflammationAnimalsComputational BiologyCytokinesEndotoxinsLipopolysaccharidesLiverMaleMiceMice, Inbred C57BLMice, KnockoutPrincipal Component AnalysisSignal TransductionToll-Like Receptor 4Tumor Necrosis Factor-alphaCytokinesEndotoxinsLipopolysaccharidesTlr4 protein, mouseToll-Like Receptor 4Tumor Necrosis Factor-alpha

Identifiers

PMID30399158
PMCPMC6239343
OpenAlexW2900362167

What Socratic 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 Socratic graph.