Evidence map›Paper›PMID 31187301›Full record

ArticleIntensive care medicine experimental2019

Alleviation of exhaustion-induced immunosuppression and sepsis by immune checkpoint blockers sequentially administered with antibiotics-analysis of a new mathematical model.

Avi Gillis, Michael Beil, Karin Halevi-Tobias, Peter Vernon van Heerden, Sigal Sviri, Zvia Agur

Open access · goldAbstract read
In one paragraph

Article in Intensive care medicine experimental, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
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  4. Article
  5. The unleashing of the immune system in COVID-19 and sepsis: the calm before the storm?Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2020
    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 at 2 institutions in 1 country.

Avi GillisInstitute for Medical BioMathematics, 10 Hate'ena St, P.O.B. 282, 60991, Bene Ataroth, Israel.
Michael BeilMedical Intensive Care Unit, Hadassah University Hospital, PO Box 12000, 9112001, Jerusalem, Israel.
Karin Halevi-TobiasInstitute for Medical BioMathematics, 10 Hate'ena St, P.O.B. 282, 60991, Bene Ataroth, Israel.
Peter Vernon van HeerdenGeneral Intensive Care Unit, Hadassah University Hospital, PO Box 12000, 9112001, Jerusalem, Israel.
Sigal SviriMedical Intensive Care Unit, Hadassah University Hospital, PO Box 12000, 9112001, Jerusalem, Israel.
Zvia AgurInstitute for Medical BioMathematics, 10 Hate'ena St, P.O.B. 282, 60991, Bene Ataroth, Israel. agur@imbm.org.
Hadassah Academic College · ILInstitute for Medical BioMathematics · IL

Funding

Chai Foundation -
6 · The paper itself

Abstract

backgroundSepsis-associated immune dysregulation, involving hyper-inflammation and immunosuppression, is common in intensive care patients, often leading to multiple organ dysfunction and death. The aim of this study was to identify the main driving force underlying immunosuppression in sepsis, and to suggest new therapeutic avenues for controlling this immune impairment and alleviating excessive pathogen load.

methodsWe developed two minimalistic (skeletal) mathematical models of pathogen-associated inflammation, which focus on the dynamics of myeloid, lymphocyte, and pathogen numbers in blood. Both models rely on the assumption that the presence of the pathogen causes a bias in hematopoietic stem cell differentiation toward the myeloid developmental line. Also in one of the models, we assumed that continuous exposure to pathogens induces lymphocyte exhaustion. In addition, we also created therapy models, both by antibiotics and by immunotherapy with PD-1/PD-L1 checkpoint inhibitors. Assuming realistic parameter ranges, we simulated the pathogen-associated inflammation models in silico with or without various antibiotic and immunotherapy schedules.

resultsComputer simulations of the two models show that the assumption of lymphocyte exhaustion is a prerequisite for attaining sepsis-associated immunosuppression, and that the ability of the innate and adaptive immune systems to control infections depends on the pathogen's replication rate. Simulation results further show that combining antibiotics with immune checkpoint blockers can suffice for defeating even an aggressive pathogen within a relatively short period. This is so as long as the drugs are administered soon after diagnosis. In contrast, when applied as monotherapies, antibiotics or immune checkpoint blockers fall short of eliminating aggressive pathogens in reasonable time.

conclusionsOur results suggest that lymphocyte exhaustion crucially drives immunosuppression in sepsis, and that one can efficiently resolve both immunosuppression and pathogenesis by timely coupling of antibiotics with an immune checkpoint blocker, but not by either one of these two treatment modalities alone. Following experimental validation, our model can be adapted to explore the potential of other therapeutic options in this field.

Indexed as

Checkpoint blockersDynamic modelHematopoietic stem cellHyper-inflammationImmunosuppressionPathogenPD-1Programmed cell death protein 1SimulationsT lymphocyte exhaustion

Identifiers

PMID31187301
PMCPMC6560115
OpenAlexW2950204168

What OpenQuestion holds

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LicenceCC BY
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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.