Evidence map›Paper›PMID 36768726›Full record

ArticleInternational journal of molecular sciences2023

The Potential of Dendritic-Cell-Based Vaccines to Modulate Type 3 Innate Lymphoid Cell Populations.

Lily Chan, Yeganeh Mehrani, Jessica A Minott, Byram W Bridle, Khalil Karimi

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. ILC3: a case of conflicted identity.Frontiers in immunology · 2023
    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

5 authors.

Lily ChanDepartment of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON N1G2W1, Canada.
Yeganeh MehraniDepartment of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON N1G2W1, Canada.ORCID 0000-0002-3132-9795
Jessica A MinottDepartment of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON N1G2W1, Canada.ORCID 0000-0002-2065-1869
Byram W BridleDepartment of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON N1G2W1, Canada.ORCID 0000-0002-8335-1118
Khalil KarimiDepartment of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON N1G2W1, Canada.ORCID 0000-0002-7245-5851

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dendritic cell (DC) vaccines are a type of immunotherapy that relies on the communication of DCs with other aspects of the immune system. DCs are potent antigen-presenting cells involved in the activation of innate immune responses and education of adaptive immunity, making them ideal targets for immunotherapies. Innate lymphoid cells (ILCs) are relatively newly identified in the field of immunology and have important roles in health and disease. The studies described here explored the communications between type 3 ILCs (ILC3s) and DCs using a murine model of DC-based vaccination. Local and systemic changes in ILC3 populations following the administration of a DC vaccine were observed, and upon challenge with B16F10 melanoma cells, changes in ILC3 populations in the lungs were observed. The interactions between DCs and ILC3s should be further explored to determine the potential that their communications could have in health, disease, and the development of immunotherapies.

Indexed as

LymphocytesVaccinesAdaptive ImmunityAnimalsDendritic CellsImmunity, InnateMiceVaccinescommunicationdendritic cell (DC)innatetype 3 innate lymphoid cell (ILC3)

Identifiers

PMID36768726
PMCPMC9916743

What OpenQuestion holds

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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.