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Graft versus Host Disease in the Bone Marrow, Liver and Thymus Humanized Mouse Model

Overview of attention for article published in PLOS ONE, September 2012
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Title
Graft versus Host Disease in the Bone Marrow, Liver and Thymus Humanized Mouse Model
Published in
PLOS ONE, September 2012
DOI 10.1371/journal.pone.0044664
Pubmed ID
Authors

Matthew B. Greenblatt, Vladimir Vbranac, Trevor Tivey, Kelly Tsang, Andrew M. Tager, Antonios O. Aliprantis

Abstract

Mice bearing a "humanized" immune system are valuable tools to experimentally manipulate human cells in vivo and facilitate disease models not normally possible in laboratory animals. Here we describe a form of GVHD that develops in NOD/SCID mice reconstituted with human fetal bone marrow, liver and thymus (NS BLT mice). The skin, lungs, gastrointestinal tract and parotid glands are affected with progressive inflammation and sclerosis. Although all mice showed involvement of at least one organ site, the incidence of overt clinical disease was approximately 35% by 22 weeks after reconstitution. The use of hosts lacking the IL2 common gamma chain (NOD/SCID/γc(-/-)) delayed the onset of disease, but ultimately did not affect incidence. Genetic analysis revealed that particular donor HLA class I alleles influenced the risk for the development of GVHD. At a cellular level, GVHD is associated with the infiltration of human CD4+ T cells into the skin and a shift towards Th1 cytokine production. GVHD also induced a mixed M1/M2 polarization phenotype in a dermal murine CD11b+, MHC class II+ macrophage population. The presence of xenogenic GVHD in BLT mice both presents a major obstacle in the use of humanized mice and an opportunity to conduct preclinical studies on GVHD in a humanized model.

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The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Netherlands 1 <1%
France 1 <1%
Italy 1 <1%
Unknown 117 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 22%
Student > Ph. D. Student 24 20%
Student > Doctoral Student 10 8%
Student > Bachelor 9 7%
Other 8 7%
Other 22 18%
Unknown 22 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 25%
Medicine and Dentistry 28 23%
Immunology and Microbiology 13 11%
Biochemistry, Genetics and Molecular Biology 12 10%
Pharmacology, Toxicology and Pharmaceutical Science 5 4%
Other 8 7%
Unknown 26 21%