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Lack of association between Kidd blood group system and chronic kidney disease

Overview of attention for article published in Hematology Transfusion and Cell Therapy, June 2017
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Title
Lack of association between Kidd blood group system and chronic kidney disease
Published in
Hematology Transfusion and Cell Therapy, June 2017
DOI 10.1016/j.bjhh.2017.05.007
Pubmed ID
Authors

Tiago Verri Capriolli, Jeane Eliete Laguila Visentainer, Ana Maria Sell

Abstract

The Kidd blood group system has three antigens, Jka, Jkb and Jk3, found on red blood cells and on endothelial cells of the inner lining of blood vessels in the renal medulla. These are known as urea transporter B (UT-B). Researchers have found that individuals carrying the Jk(a-b-) or Jk-null (UT-B null) phenotypes have a lower urine-concentrating capability and risk of severe renal impairment. This study evaluated the distribution of the Kidd phenotypes in patients with chronic kidney disease and a possible association of Kidd antigens with the development of renal disease. Jka and Jkb antigens were phenotyped using the gel column agglutination test (ID-cards Bio-RAD) in 197 patients with chronic kidney disease and 444 blood donors, as the control group. The phenotype and antigen frequencies between patients and controls were evaluated using the Chi-square method with Yates correction and logistic regression after adjustments for gender and age. No differences were observed between the Kidd phenotypes frequency distribution between patients with chronic kidney disease and blood donors [Jk(a-b+)=22.3% and 27.2%; Jk(a+b-)=30.5% and 24.3%; Jk(a+b+)=47.25% and 48.4%, respectively]. The distribution of Kidd phenotypes found in the studied population is expected for Caucasians; Jka and Jkb antigens and phenotypes were not found to be related to susceptibility for chronic kidney disease.

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Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 31%
Professor > Associate Professor 2 13%
Researcher 2 13%
Professor 1 6%
Unspecified 1 6%
Other 2 13%
Unknown 3 19%
Readers by discipline Count As %
Medicine and Dentistry 5 31%
Immunology and Microbiology 4 25%
Nursing and Health Professions 2 13%
Unspecified 1 6%
Unknown 4 25%