Evidence map›Paper›PMID 34103589›Full record

ArticleScientific reports2021

Ex vivo immune profiling in patient blood enables quantification of innate immune effector functions.

Teresa Lehnert, Ines Leonhardt, Sandra Timme, Daniel Thomas-Rüddel, Frank Bloos, Christoph Sponholz, Oliver Kurzai, Marc Thilo Figge, Kerstin Hünniger

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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

11 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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  5. Deep learning-based characterization of neutrophil activation phenotypes inComputational and structural biotechnology journal · 2024
    Article
  6. Article
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  9. Review
  10. Article
  11. Automated characterisation of neutrophil activation phenotypes inComputational and structural biotechnology journal · 2022
    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

9 authors at 3 institutions in 1 country.

Teresa Lehnert *Research Group Applied Systems Biology, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute, Jena, Germany.
Ines Leonhardt *Center for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany.
Sandra TimmeResearch Group Applied Systems Biology, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute, Jena, Germany.
Daniel Thomas-RüddelCenter for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany.
Frank BloosCenter for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany.
Christoph SponholzDepartment of Anesthesiology and Intensive Care Medicine, Jena University Hospital, Jena, Germany.
Oliver KurzaiCenter for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany.
Marc Thilo FiggeResearch Group Applied Systems Biology, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute, Jena, Germany. thilo.figge@leibniz-hki.de.
Kerstin HünnigerResearch Group Fungal Septomics, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute, Jena, Germany. kerstin.huenniger@leibniz-hki.de.
Jena University Hospital · DELeibniz-Institut für Naturstoff-Forschung und Infektionsbiologie e. V. - Hans-Knöll-Institut (HKI) · DEUniversity of Würzburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The assessment of a patient's immune function is critical in many clinical situations. In complex clinical immune dysfunction like sepsis, which results from a loss of immune homeostasis due to microbial infection, a plethora of pro- and anti-inflammatory stimuli may occur consecutively or simultaneously. Thus, any immunomodulatory therapy would require in-depth knowledge of an individual patient's immune status at a given time. Whereas lab-based immune profiling often relies solely on quantification of cell numbers, we used an ex vivo whole-blood infection model in combination with biomathematical modeling to quantify functional parameters of innate immune cells in blood from patients undergoing cardiac surgery. These patients experience a well-characterized inflammatory insult, which results in mitigation of the pathogen-specific response patterns towards Staphylococcus aureus and Candida albicans that are characteristic of healthy people and our patients at baseline. This not only interferes with the elimination of these pathogens from blood, but also selectively augments the escape of C. albicans from phagocytosis. In summary, our model could serve as a valuable functional immune assay for recording and evaluating innate responses to infection.

Indexed as

Immunity, InnatePhagocytosisCandida albicansCandidiasisHumansNeutrophilsStaphylococcal InfectionsStaphylococcus aureus

Identifiers

PMID34103589
PMCPMC8187451
OpenAlexW3167169562

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.