Evidence map›Paper›PMID 38918496›Full record

ArticleScientific reports2024

TLR9 agonism differentially impacts human NK cell-mediated direct killing and antibody-dependent cell-mediated cytotoxicity.

Anna R Mahr, Maia M C Bennett-Boehm, Frederik H Rothemejer, Isabelle S Weber, Alexander K Regan, Josh Q Franzen, Cami R Bisson, Angela N Truong, Rikke Olesen, Mariane H Schleimann and 6 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. A Novel MICB-Targeting CAR-NK Cells for the Treatment of Pancreatic Cancer.International journal of molecular sciences · 2026
    Article
  3. Review
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

16 authors.

Anna R Mahr *Department of Biology, University of Nebraska at Omaha, Omaha, NE, USA.
Maia M C Bennett-Boehm *Department of Biology, University of Nebraska at Omaha, Omaha, NE, USA.
Frederik H RothemejerDepartment of Infectious Diseases, Aarhus University Hospital, Aarhus, Denmark.
Isabelle S WeberDepartment of Biology, University of Nebraska at Omaha, Omaha, NE, USA.
Alexander K ReganDepartment of Biology, University of Nebraska at Omaha, Omaha, NE, USA.
Josh Q FranzenDepartment of Biology, University of Nebraska at Omaha, Omaha, NE, USA.
Cami R BissonDepartment of Biology, University of Nebraska at Omaha, Omaha, NE, USA.
Angela N TruongDepartment of Biology, University of Nebraska at Omaha, Omaha, NE, USA.
Rikke OlesenDepartment of Infectious Diseases, Aarhus University Hospital, Aarhus, Denmark.
Mariane H SchleimannDepartment of Infectious Diseases, Aarhus University Hospital, Aarhus, Denmark.
Claudia M RauterDepartment of Biology, University of Nebraska at Omaha, Omaha, NE, USA.
Audrey L SmithEppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE, USA.
Dalia El-GamalEppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE, USA.
Ole S SøgaardDepartment of Infectious Diseases, Aarhus University Hospital, Aarhus, Denmark.
Martin TolstrupDepartment of Infectious Diseases, Aarhus University Hospital, Aarhus, Denmark.
Paul W DentonDepartment of Biology, University of Nebraska at Omaha, Omaha, NE, USA. pdenton@unomaha.edu.

Funding

UNMC Structural Biology CoreP20GM103427 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI Heather Colleen Jensen-Smith · 2012 to 2026
$59.2M
Dissecting the Differential Impacts of Toll-like Receptor 9 Agonism on the Capacity of Human Natural Killer Cells to Mediate Target Cell KillingR15AI178516 · NIAID · UNIVERSITY OF NEBRASKA OMAHA · PI PAUL W. DENTON · 2023 to 2026
$743k
Danmarks Frie Forskningsfond DFF-7025-00022National Institute of Allergy and Infectious Diseases R15AI178516NIAID NIH HHS R15 AI178516NIGMS NIH HHS P20 GM103427University of Nebraska at Omaha GRACA and FUSEUniversity of Nebraska Collaboration Initiative NR-26797
6 · The paper itself

Abstract

There are two known mechanisms by which natural killer (NK) cells recognize and kill diseased targets: (i) direct killing and (ii) antibody-dependent cell-mediated cytotoxicity (ADCC). We investigated an indirect NK cell activation strategy for the enhancement of human NK cell killing function. We did this by leveraging the fact that toll-like receptor 9 (TLR9) agonism within pools of human peripheral blood mononuclear cells (PBMCs) results in a robust interferon signaling cascade that leads to NK cell activation. After TLR9 agonist stimulation, NK cells were enriched and incorporated into assays to assess their ability to kill tumor cell line targets. Notably, differential impacts of TLR9 agonism were observed-direct killing was enhanced while ADCC was not increased. To ensure that the observed differential effects were not attributable to differences between human donors, we recapitulated the observation using our Natural Killer-Simultaneous ADCC and Direct Killing Assay (NK-SADKA) that controls for human-to-human differences. Next, we observed a treatment-induced decrease in NK cell surface CD16-known to be shed by NK cells post-activation. Given the essential role of CD16 in ADCC, such shedding could account for the observed differential impact of TLR9 agonism on NK cell-mediated killing capacity.

Indexed as

Antibody-Dependent Cell CytotoxicityKiller Cells, NaturalToll-Like Receptor 9Cell Line, TumorCytotoxicity, ImmunologicHumansLeukocytes, MononuclearLymphocyte ActivationReceptors, IgGReceptors, IgGTLR9 protein, humanToll-Like Receptor 9ADCCDirect killingHuman NK cellsImmunophenotypingTLR9 agonist

Identifiers

PMID38918496
PMCPMC11199698

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.