scholarly journals Effect of CTLA-4 gene polymorphisms on long-term kidney allograft function in Han Chinese recipients

Oncotarget ◽  
2016 ◽  
Vol 7 (17) ◽  
pp. 23088-23095 ◽  
Author(s):  
Yifeng Guo ◽  
Junwei Gao ◽  
Shuai Gao ◽  
Minghua Shang ◽  
Fang Guo
2015 ◽  
Vol 20 ◽  
pp. 506-511 ◽  
Author(s):  
Maciej Romanowski ◽  
Karolina Kłoda ◽  
Sławomir Milczarek ◽  
Andrzej Pawlik ◽  
Leszek Domański ◽  
...  

2009 ◽  
Vol 87 (1) ◽  
pp. 72-78 ◽  
Author(s):  
Annemie T. Woestenburg ◽  
Gert A. Verpooten ◽  
Dirk K. Ysebaert ◽  
Eric A. Van Marck ◽  
Dierik Verbeelen ◽  
...  

2015 ◽  
Vol 29 (12) ◽  
pp. 1187-1194 ◽  
Author(s):  
Maciej Romanowski ◽  
Karolina Kłoda ◽  
Bogumiła Osękowska ◽  
Leszek Domański ◽  
Andrzej Pawlik ◽  
...  

2012 ◽  
Vol 94 (10S) ◽  
pp. 467
Author(s):  
C. M. Alvarez ◽  
G. Opelz ◽  
S. C. Paris ◽  
M. E. Ramirez ◽  
S. Caner

2015 ◽  
Author(s):  
Laurent Mesnard ◽  
Thangamani Muthukumar ◽  
Maren Burbach ◽  
Carol Li ◽  
Huimin Shang ◽  
...  

Current strategies to improve graft outcome following kidney transplantation consider information at the HLA loci. Here, we used exome sequencing of DNA from ABO compatible kidney graft recipients and their living donors to determine recipient and donor mismatches at the amino acid level over entire exomes. We estimated the number of amino acid mismatches in transmembrane proteins, more likely to be seen as foreign by the recipient’s immune system, and designated this tally as the allogenomics mismatch score (AMS). The AMS can be measured prior to transplantation with DNA for potential donor and recipient pairs. We examined the degree of relationship between the AMS and post-transplantation kidney allograft function by linear regression. In a discovery cohort, we found a significant inverse correlation between the AMS and kidney graft function at 36 months post-transplantation (n=10 recipient/donor pairs; 20 exomes) (r2>=0.57, P<0.05). The predictive ability of the AMS persists when the score is restricted to regions outside of the HLA loci. This relationship was validated using an independent cohort of 24 recipient donor pairs (n=48 exomes) (r2>=0.39, P<0.005). In an additional cohort of living and mostly intra-familial recipient/donor pairs (n=19, 38 exomes), we validated the association after controlling for donor age at time of transplantation. Finally, a model that controls for donor age, HLA mismatches and time post-transplantation yields a consistent AMS effect across these three independent cohorts (P<0.05). Taken together, these results show that the AMS is a strong predictor of long-term graft function in kidney transplant recipients.


2010 ◽  
Vol 23 (3) ◽  
pp. 121-124 ◽  
Author(s):  
Mariusz Kusztal ◽  
Katarzyna Kościelska-Kasprzak ◽  
Dominika Drulis-Fajdasz ◽  
Maria Magott-Procelewska ◽  
Dariusz Patrzałek ◽  
...  

2021 ◽  
Vol 6 (4) ◽  
pp. S307-S308
Author(s):  
M. BEN SALAH ◽  
M. Ben Salem ◽  
S. Letaief ◽  
M. Hammouda ◽  
I. Handous ◽  
...  

2014 ◽  
Vol 98 ◽  
pp. 218
Author(s):  
M. Laftavi ◽  
K. Soliman ◽  
E. Mogadam ◽  
S. Patel ◽  
L. Feng ◽  
...  

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Magdalena Krajewska ◽  
Katarzyna Kościelska-Kasprzak ◽  
Dorota Kamińska ◽  
Marcelina Żabińska ◽  
Marta Myszka-Kozłowska ◽  
...  

Successful long-term kidney allograft survival with parallel reduction of complications resulting from prolonged immunosuppressive treatment is a goal in kidney transplantation. We studied the immune changes in cell phenotypes and gene expression induced by kidney transplantation. Our goal was to find a phenotypic and/or transcriptional pattern that might be considered prognostic for the kidney transplant outcome. The analysis was performed prospectively on 36 KTx recipients sampled during the first year and followed for five years after transplantation and on 40 long-term KTx recipients (7.9±2.2 y. post-KTx). The research involved flow cytometry assessment of lymphocyte subpopulations (including Tregs and CD3+CD8+CD28− lymphocytes) and gene expression analysis of immune-related genes (CD4, CD8, CTLA4, GZMB, FOXP3, IL10, IL4, ILR2A, NOTCH, PDCD1, PRF1, TGFB, and TNFA). The analysis of patterns observed over the first post-KTx year was confronted with control, pretransplant, and long-term transplant results. Treg counts at months one and three post-KTx correlated positively with the current and future allograft function. FOXP3 gene expression at month one post-KTx was also associated with long-term allograft function. The KTx-induced CD3+CD8+CD28− population correlated with GZMB and PRF1 expression and suggested their cytotoxic properties. The size of the Treg population and regulatory FOXP3 gene expression in the early period after transplantation are associated with kidney transplant outcome. The outlined predictive power of the Treg population needs to be investigated further to be confirmed as one of the immune monitoring strategies that may help achieve the best long-term kidney allograft outcomes.


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