Evidence map›Paper›PMID 33958628›Full record

ArticleScientific reports2021

A putative "chemokine switch" that regulates systemic acute inflammation in humans.

Nabil Azhar, Rami A Namas, Khalid Almahmoud, Akram Zaaqoq, Othman A Malak, Derek Barclay, Jinling Yin, Fayten El-Dehaibi, Andrew Abboud, Richard L Simmons and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  6. Review
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  8. What's next for computational systems biology?Frontiers in systems biology · 2023
    Review
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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

13 authors at 1 institution in 1 country.

Nabil AzharDepartment of Surgery, University of Pittsburgh, W944 Starzl Biomedical Sciences Tower, 200 Lothrop St, Pittsburgh, PA, 15213, USA.
Rami A NamasDepartment of Surgery, University of Pittsburgh, W944 Starzl Biomedical Sciences Tower, 200 Lothrop St, Pittsburgh, PA, 15213, USA.
Khalid AlmahmoudDepartment of Surgery, University of Pittsburgh, W944 Starzl Biomedical Sciences Tower, 200 Lothrop St, Pittsburgh, PA, 15213, USA.
Akram ZaaqoqDepartment of Surgery, University of Pittsburgh, W944 Starzl Biomedical Sciences Tower, 200 Lothrop St, Pittsburgh, PA, 15213, USA.
Othman A MalakDepartment of Surgery, University of Pittsburgh, W944 Starzl Biomedical Sciences Tower, 200 Lothrop St, Pittsburgh, PA, 15213, USA.
Derek BarclayDepartment of Surgery, University of Pittsburgh, W944 Starzl Biomedical Sciences Tower, 200 Lothrop St, Pittsburgh, PA, 15213, USA.
Jinling YinDepartment of Surgery, University of Pittsburgh, W944 Starzl Biomedical Sciences Tower, 200 Lothrop St, Pittsburgh, PA, 15213, USA.
Fayten El-DehaibiDepartment of Surgery, University of Pittsburgh, W944 Starzl Biomedical Sciences Tower, 200 Lothrop St, Pittsburgh, PA, 15213, USA.
Andrew AbboudDepartment of Surgery, University of Pittsburgh, W944 Starzl Biomedical Sciences Tower, 200 Lothrop St, Pittsburgh, PA, 15213, USA.
Richard L SimmonsDepartment of Surgery, University of Pittsburgh, W944 Starzl Biomedical Sciences Tower, 200 Lothrop St, Pittsburgh, PA, 15213, USA.
Ruben ZamoraDepartment of Surgery, University of Pittsburgh, W944 Starzl Biomedical Sciences Tower, 200 Lothrop St, Pittsburgh, PA, 15213, USA.
Timothy R BilliarDepartment of Surgery, University of Pittsburgh, W944 Starzl Biomedical Sciences Tower, 200 Lothrop St, Pittsburgh, PA, 15213, USA.
Yoram VodovotzDepartment of Surgery, University of Pittsburgh, W944 Starzl Biomedical Sciences Tower, 200 Lothrop St, Pittsburgh, PA, 15213, USA. vodovotzy@upmc.edu.
University of Pittsburgh · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systemic inflammation is complex and likely drives clinical outcomes in critical illness such as that which ensues following severe injury. We obtained time course data on multiple inflammatory mediators in the blood of blunt trauma patients. Using dynamic network analyses, we inferred a novel control architecture for systemic inflammation: a three-way switch comprising the chemokines MCP-1/CCL2, MIG/CXCL9, and IP-10/CXCL10. To test this hypothesis, we created a logical model comprising this putative architecture. This model predicted key qualitative features of systemic inflammation in patient sub-groups, as well as the different patterns of hospital discharge of moderately vs. severely injured patients. Thus, a rational transition from data to data-driven models to mechanistic models suggests a novel, chemokine-based mechanism for control of acute inflammation in humans and points to the potential utility of this workflow in defining novel features in other complex diseases.

Indexed as

AdultChemokinesFemaleHumansInflammationInflammation MediatorsMaleMiddle AgedReproducibility of ResultsSeverity of Illness IndexWounds and InjuriesChemokinesInflammation Mediators

Identifiers

PMID33958628
PMCPMC8102583
OpenAlexW3157644726

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.