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Cytokine and human leukocyte antigen (HLA) profile for graft-versus-host disease (GVHD) after organ transplantation

Overview of attention for article published in European Journal of Medical Research, October 2016
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Title
Cytokine and human leukocyte antigen (HLA) profile for graft-versus-host disease (GVHD) after organ transplantation
Published in
European Journal of Medical Research, October 2016
DOI 10.1186/s40001-016-0232-y
Pubmed ID
Authors

Xinhua Chen, Xueqin Meng, Yuning Xu, Haiyang Xie, Shengyong Yin, Hongchun Li, Liming Wu, Shusen Zheng

Abstract

Graft-versus-host disease (GVHD) after liver and kidney transplantation has high mortality and causes diagnostic challenges. This study aims to describe the cytokine and human leukocyte antigen (HLA) profile in the GVHD after liver and kidney transplantation. A high-throughput detection kit was applied and altogether 18 different cytokines were tested simultaneously. GVHD patients included 23 post-liver transplantation patients; 22 post-renal transplantation patients; The control patients include 22 hepatocellular carcinoma (HCC) patients without transplantation and 20 healthy controls. Their HLA characters were compared. The full spectrum of cytokines was present. The inflammatory markers were activated significantly in liver transplantation. The level of inflammatory markers in liver transplantation was higher than that in renal transplantation, HCC or healthy controls. GVHD was associated with the HLA characters; HLA characters are involved in liver GVHD occurrence and act as risk factors. Our findings confirmed that the inflammatory cytokines play a pathogenic role in GVHD and can be used as early diagnostic markers. The HLA mismatch acts as a risk factor in liver transplantation to predict GVHD occurrence.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 21%
Other 2 14%
Researcher 2 14%
Professor 1 7%
Lecturer 1 7%
Other 1 7%
Unknown 4 29%
Readers by discipline Count As %
Medicine and Dentistry 5 36%
Immunology and Microbiology 2 14%
Biochemistry, Genetics and Molecular Biology 2 14%
Unknown 5 36%