Evidence map›Paper›PMID 19293460›Full record

ArticleILAR journal2009

Potential large animal models for gene therapy of human genetic diseases of immune and blood cell systems.

Thomas R Bauer, Rima L Adler, Dennis D Hickstein

Open access · bronzeAbstract read
In one paragraph

Article in ILAR journal, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 19 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Thomas R BauerExperimental Transplantation and Immunology Branch of the Center for Cancer Research at the National Cancer Institute of the National Institutes of Health in Bethesda, Maryland 20892, USA. bauert@mail.nih.gov
Rima L Adler
Dennis D Hickstein
Office of the Director · US

Funding

Hematopoietic Stem Cell Gene Therapy for Leukocyte Adhesion DeficiencyZIASC010384 · NCI · DIVISION OF CLINICAL SCIENCES - NCI · PI HICKSTEIN, DENNIS · 2009 to 2025
$7.2M
Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

Genetic mutations involving the cellular components of the hematopoietic system--red blood cells, white blood cells, and platelets--manifest clinically as anemia, infection, and bleeding. Although gene targeting has recapitulated many of these diseases in mice, these murine homologues are limited as translational models by their small size and brief life span as well as the fact that mutations induced by gene targeting do not always faithfully reflect the clinical manifestations of such mutations in humans. Many of these limitations can be overcome by identifying large animals with genetic diseases of the hematopoietic system corresponding to their human disease counterparts. In this article, we describe human diseases of the cellular components of the hematopoietic system that have counterparts in large animal species, in most cases carrying mutations in the same gene (CD18 in leukocyte adhesion deficiency) or genes in interacting proteins (DNA cross-link repair 1C protein and protein kinase, DNA-activated catalytic polypeptide in radiation-sensitive severe combined immunodeficiency). Furthermore, we describe the potential of these animal models to serve as disease-specific preclinical models for testing the efficacy and safety of clinical interventions such as hematopoietic stem cell transplantation or gene therapy before their use in humans with the corresponding disease.

Indexed as

Disease Models, AnimalAnimalsCatsCattleDogsGenetic TherapyGenetic VectorsHematologic DiseasesHorsesImmune System Diseases

Identifiers

PMID19293460
PMCPMC2806185
OpenAlexW1967088113

What OpenQuestion holds

Textmetadata
LicenceTDM
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.