Evidence map›Paper›PMID 40019007›Full record

ReviewDisease models & mechanisms2025

Improving bench-to-bedside translation for acute graft-versus-host disease models.

Brianyell McDaniel Mims, Kathryn L Furr, Josue Enriquez, Matthew B Grisham

Abstract readReview
In one paragraph

Review in Disease models & mechanisms, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Brianyell McDaniel MimsDepartment of Oral Health Sciences, Medical University of South Carolina, Charleston, SC 29425, USA.
Kathryn L FurrDepartment of Immunology and Molecular Microbiology, Texas Tech University Health Sciences Center, Lubbock, TX 79423, USA.
Josue EnriquezDepartment of Microbiology and Immunology, University of Gothenburg, Gothenburg 405 30, Sweden.
Matthew B GrishamDepartment of Immunology and Molecular Microbiology, Texas Tech University Health Sciences Center, Lubbock, TX 79423, USA.ORCID 0000-0001-9090-721X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The transplantation of allogeneic hematopoietic stem cells is a potentially curative treatment for hematological malignancies, inherited blood disorders and immune deficiencies. Unfortunately, 30-50% of patients receiving allogeneic hematopoietic stem cells will develop a potentially life-threatening inflammatory disease called acute graft-versus-host disease (aGVHD). In patients with aGVHD, graft-associated T cells, which typically target the skin, intestinal tract and liver, can also damage the lungs and lymphoid tissue. Damage to lymphoid tissue creates prolonged immunodeficiency that markedly increases the risk of infections and bleeding, resulting in considerable morbidity and mortality. Although mouse models of aGVHD have been instrumental to our understanding of this condition's pathogenesis, translation of preclinical data into new and more effective treatments for human disease has been limited for reasons that remain to be fully understood. However, evidence suggests that factors associated with mouse models of aGVHD likely contribute to these unsatisfactory results. In this Review, we identify and discuss the specific factors inherent to mouse models of aGVHD that may limit the translation of preclinical data to patient treatment, and suggest how to improve the translatability of these models.

Indexed as

Graft vs Host DiseaseTranslational Research, BiomedicalAcute DiseaseAnimalsDisease Models, AnimalHematopoietic Stem Cell TransplantationHumansMiceAnemiaConditioningHousing temperatureMicrobiotaOutbred miceReduced intensity conditioningSpleen hypoplasia

Identifiers

PMID40019007
PMCPMC11892683

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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.