Influence of theIL17AandIL17Fgene polymorphisms on the long-term kidney allograft function and return to dialysis after kidney transplantation

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


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

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.


2020 ◽  
Vol 9 (4) ◽  
pp. 1193 ◽  
Author(s):  
Charat Thongprayoon ◽  
Panupong Hansrivijit ◽  
Napat Leeaphorn ◽  
Prakrati Acharya ◽  
Aldo Torres-Ortiz ◽  
...  

Recent advances in surgical, immunosuppressive and monitoring protocols have led to the significant improvement of overall one-year kidney allograft outcomes. Nonetheless, there has not been a significant change in long-term kidney allograft outcomes. In fact, chronic and acute antibody-mediated rejection (ABMR) and non-immunological complications following kidney transplantation, including multiple incidences of primary kidney disease, as well as complications such as cardiovascular diseases, infections, and malignancy are the major factors that have contributed to the failure of kidney allografts. The use of molecular techniques to enhance histological diagnostics and noninvasive surveillance are what the latest studies in the field of clinical kidney transplant seem to mainly focus upon. Increasingly innovative approaches are being used to discover immunosuppressive methods to overcome critical sensitization, prevent the development of anti-human leukocyte antigen (HLA) antibodies, treat chronic active ABMR, and reduce non-immunological complications following kidney transplantation, such as the recurrence of primary kidney disease and other complications, such as cardiovascular diseases, infections, and malignancy. In the present era of utilizing electronic health records (EHRs), it is strongly believed that big data and artificial intelligence will reshape the research done on kidney transplantation in the near future. In addition, the utilization of telemedicine is increasing, providing benefits such as reaching out to kidney transplant patients in remote areas and helping to make scarce healthcare resources more accessible for kidney transplantation. In this article, we discuss the recent research developments in kidney transplants that may affect long-term allografts, as well as the survival of the patient. The latest developments in living kidney donation are also explored.


2015 ◽  
Vol 20 ◽  
pp. 506-511 ◽  
Author(s):  
Maciej Romanowski ◽  
Karolina Kłoda ◽  
Sławomir Milczarek ◽  
Andrzej Pawlik ◽  
Leszek Domański ◽  
...  

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

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