Evidence map›Paper›PMID 24523722›Full record

ReviewFrontiers in immunology2014

Quantifying the Protection of Activating and Inhibiting NK Cell Receptors during Infection with a CMV-Like Virus.

Paola Carrillo-Bustamante, Can Keşmir, Rob J de Boer

Erratum issuedAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Immune system modeling and analysis.Frontiers in immunology · 2014
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Paola Carrillo-BustamanteTheoretical Biology and Bioinformatics, Department of Biology, Utrecht University , Utrecht , Netherlands.
Can KeşmirTheoretical Biology and Bioinformatics, Department of Biology, Utrecht University , Utrecht , Netherlands.
Rob J de BoerTheoretical Biology and Bioinformatics, Department of Biology, Utrecht University , Utrecht , Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The responsiveness of natural killer (NK) cells is controlled by balancing signals from activating and inhibitory receptors. The most important ligands of inhibitory NK cell receptors are the highly polymorphic major histocompatibility complex (MHC) class I molecules, which allow NK cells to screen the cellular health of target cells. Although these inhibitory receptor-ligand interactions have been well characterized, the ligands for most activating receptors are still unknown. The mouse cytomegalovirus (MCMV) represents a helpful model to study NK cell-driven immune responses. Many studies have demonstrated that CMV infection can be controlled by NK cells via their activating receptors, but the exact contribution of the different signaling potential (i.e., activating vs. inhibiting) remains puzzling. In this study, we have developed a probabilistic model, which predicts the optimal specificity of inhibitory and activating NK cell receptors needed to offer the best protection against a CMV-like virus. We confirm our analytical predictions with an agent-based model of an evolving host population. Our analysis quantifies the degree of protection of each receptor type, revealing that mixed haplotypes (i.e., haplotypes composed of activating and inhibiting receptors) are most protective against CMV-like viruses, and that the protective effect depends on the number of MHC loci per individual.

Indexed as

agent-based modelingCMV infectionevolutionmodelsNK cell receptorstheoretical

Identifiers

PMID24523722
PMCPMC3906586

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.