V-J combinations of T-cell receptor predict responses to erythropoietin in end-stage renal disease patients
Posted on 2017-07-11 - 05:00
Abstract Background Anemia is common among end-stage renal disease (ESRD) patients who undergone hemodialysis. The total reduction of red blood cell (RBC) count is associated with poor prognosis in these patients. Although erythropoietin (EPO) has been used as an effective treatment for ESRD patients with anemia, a large number of patients still present poor responses to EPO treatment. Methods We measured T-cell receptor sequencing profiles, including length of complementarity-deteremining region 3 (CDR3), intra- and inter-group (EPO resistant vs. responsive) clonotype diversity, V(D)J usage profiles and V-J combinations from ESRD patients and to investigate the correlation between these features and EPO treatment efficacy. Results Our results revealed statistical significance in the top 3 ~ 15 most abundant joint distributions of Vβ/Jβ among the two groups, suggesting the importance of V or J gene utilization in the EPO response of ESRD patients. Conclusions In summary, we provided evidence addressing the potential correlation between the immune repertoire and EPO response in ESRD patients. Trial registration TMU-JIRB 201309026. Registered 16 October 2013.
CITE THIS COLLECTION
DataCite
3 Biotech
3D Printing in Medicine
3D Research
3D-Printed Materials and Systems
4OR
AAPG Bulletin
AAPS Open
AAPS PharmSciTech
Abhandlungen aus dem Mathematischen Seminar der Universität Hamburg
ABI Technik (German)
Academic Medicine
Academic Pediatrics
Academic Psychiatry
Academic Questions
Academy of Management Discoveries
Academy of Management Journal
Academy of Management Learning and Education
Academy of Management Perspectives
Academy of Management Proceedings
Academy of Management Review
Wong, Henry; Chang, Che-Mai; Kao, Chih-Chin; Hsu, Yu-Wen; Liu, Xiao; Chang, Wen-Chang; et al. (2017). V-J combinations of T-cell receptor predict responses to erythropoietin in end-stage renal disease patients. figshare. Collection. https://doi.org/10.6084/m9.figshare.c.3824278.v1
or
Select your citation style and then place your mouse over the citation text to select it.
SHARE
Usage metrics
Read the peer-reviewed publication
AUTHORS (8)
HW
Henry Wong
CC
Che-Mai Chang
CK
Chih-Chin Kao
YH
Yu-Wen Hsu
XL
Xiao Liu
WC
Wen-Chang Chang
MW
Mai-Szu Wu
WC
Wei-Chiao Chang