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Telomere length correlates with disease severity and inflammation in sickle cell disease

Overview of attention for article published in Hematology Transfusion and Cell Therapy, March 2017
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Title
Telomere length correlates with disease severity and inflammation in sickle cell disease
Published in
Hematology Transfusion and Cell Therapy, March 2017
DOI 10.1016/j.bjhh.2017.02.007
Pubmed ID
Authors

Marina Pereira Colella, Barbara A. Santana, Nicola Conran, Vinicius Tomazini, Fernando F. Costa, Rodrigo T. Calado, Sara T. Olalla Saad

Abstract

Telomeres, the ends of linear chromosomes, shorten during mitotic cell division and erosion may be aggravated by inflammation or proliferative and oxidative stress. As the bone marrow is under hyperproliferative pressure in sickle cell disease and several tissues are submitted to chronic inflammation, this study sought to determine the telomere length of patients with sickle cell disease. The mean telomere length was measured in peripheral blood leukocytes by quantitative polymerase chain reaction. The age-adjusted telomere to single copy gene ratio was compared between 91 adult sickle cell disease patients and 188 controls. Sickle cell disease patients had significantly shorter telomeres than the controls (p-value<0.0001). Moreover, among sickle cell disease genotypes, Hb SS patients had significantly shorter telomeres compared to Hb SC and Hb Sβ patients (p-value<0.0001). Patients on hydroxyurea also had shorter telomeres in comparison to those off the drug (p-value=0.02). A positive correlation was observed between telomere length and hemoglobin level (r=0.3; p-value=0.004), whereas negative correlations were detected between telomere length and lymphocyte count (r=-0.3; p-value=0.005) and interleukin-8 serum levels (r=-0.4; p-value=0.02). The findings of this study indicate that telomeres are short in sickle cell disease patients and that telomere erosion directly correlates with disease genotype, inflammation markers, and the use of hydroxyurea.

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Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 21%
Researcher 6 13%
Student > Bachelor 4 8%
Student > Ph. D. Student 3 6%
Lecturer 2 4%
Other 6 13%
Unknown 17 35%
Readers by discipline Count As %
Medicine and Dentistry 10 21%
Biochemistry, Genetics and Molecular Biology 7 15%
Nursing and Health Professions 2 4%
Environmental Science 2 4%
Engineering 2 4%
Other 5 10%
Unknown 20 42%