A LONGITUDINAL STUDY OF THE MRNA TRANSCRIPTIONAL EVALUATION IN HUMAN KIDNEY ALLOGRAFT DYSFUNCTION.

2010 ◽  
Vol 90 ◽  
pp. 246
Author(s):  
G. Joelsons ◽  
Aquino E.C. Dias ◽  
R. B. Cupertino ◽  
A. Nogare ◽  
L. F.S. Gonçalves ◽  
...  
2018 ◽  
Vol 104 (6) ◽  
pp. 1229-1239 ◽  
Author(s):  
Youssra Haouami ◽  
Tarak Dhaouadi ◽  
Imen Sfar ◽  
Mongi Bacha ◽  
Tahar Gargah ◽  
...  

2016 ◽  
Vol 2 (9) ◽  
pp. e98
Author(s):  
Ravinder K. Wali ◽  
Heather A. Prentice ◽  
Venkata Reddivari ◽  
Geroge Baffoe-Bonnie ◽  
Cinthia I. Drachenberg ◽  
...  

1997 ◽  
Vol 5 (3) ◽  
pp. 199-203 ◽  
Author(s):  
Angelo M de Mattos ◽  
Mary M Meyer ◽  
Douglas J Norman ◽  
William M Bennett ◽  
Jerald Sprague ◽  
...  

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0249930
Author(s):  
Aziz Belkadi ◽  
Gaurav Thareja ◽  
Darshana Dadhania ◽  
John R. Lee ◽  
Thangamani Muthukumar ◽  
...  

Kidney transplantation is the treatment of choice for patients with end-stage kidney failure, but transplanted allograft could be affected by viral and bacterial infections and by immune rejection. The standard test for the diagnosis of acute pathologies in kidney transplants is kidney biopsy. However, noninvasive tests would be desirable. Various methods using different techniques have been developed by the transplantation community. But these methods require improvements. We present here a cost-effective method for kidney rejection diagnosis that estimates donor/recipient-specific DNA fraction in recipient urine by sequencing urinary cell DNA. We hypothesized that in the no-pathology stage, the largest tissue types present in recipient urine are donor kidney cells, and in case of rejection, a larger number of recipient immune cells would be observed. Extensive in-silico simulation was used to tune the sequencing parameters: number of variants and depth of coverage. Sequencing of DNA mixture from 2 healthy individuals showed the method is highly predictive (maximum error < 0.04). We then demonstrated the insignificant impact of familial relationship and ethnicity using an in-house and public database. Lastly, we performed deep DNA sequencing of urinary cell pellets from 32 biopsy-matched samples representing two pathology groups: acute rejection (AR, 11 samples) and acute tubular injury (ATI, 12 samples) and 9 samples with no pathology. We found a significant association between the donor/recipient-specific DNA fraction in the two pathology groups compared to no pathology (P = 0.0064 for AR and P = 0.026 for ATI). We conclude that deep DNA sequencing of urinary cells from kidney allograft recipients offers a noninvasive means of diagnosing acute pathologies in the human kidney allograft.


2018 ◽  
Vol 79 (5) ◽  
pp. 343-355 ◽  
Author(s):  
Voravech Nissaisorakarn ◽  
John Richard Lee ◽  
Michelle Lubetzky ◽  
Manikkam Suthanthiran

2019 ◽  
Vol 73 (6) ◽  
pp. A10-A14
Author(s):  
Suwasin Udomkarnjananun ◽  
Somrath Srijaruneruang ◽  
Natavudh Townamchai ◽  
Kroonpong Iampenkhae ◽  
Wipusit Taesombat ◽  
...  

Diagnostics ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 41
Author(s):  
Sorana D. Bolboacă ◽  
Florin Ioan Elec ◽  
Alina Daciana Elec ◽  
Adriana Milena Muntean ◽  
Mihai Adrian Socaciu ◽  
...  

Shear-wave elastography (SWE) showed the absence or presence of significant differences among stable kidney allograft function and allograft dysfunction. We evaluated the variability of kidney allograft stiffness in relation to allograft dysfunction, respectively, in terms of a correlation of stiffness with patients’ characteristics. A single-center prospective study on patients who had undergone renal transplantation was conducted between October 2017 and November 2018. Patients were clinically classified as having a stable allograft function or allograft dysfunction. SWE examinations performed by the same radiologist with a LOGIQ E9 were evaluated. Ten measurements were done for Young’s modulus (kPa) at the level of allograft cortex and another ten at the level of medulla. Eighty-three SWE examinations from 63 patients, 69 stable allografts, and 14 allografts with dysfunction were included in the analysis. The intra-examinations stiffness showed high variability, with the quantile covariation coefficient ranging from 2.21% to 45.04%. The inter-examinations stiffness showed heterogeneity (from 28.66% to 42.38%). The kidney allograft cortex stiffness showed significantly higher values in cases with dysfunction (median = 28.70 kPa, interquartile range (IQR) = (25.68–31.98) kPa) as compared to those with stable function (median = 20.99 kPa, interquartile range = (16.08–27.68) kPa; p-value = 0.0142). Allograft tissue stiffness (both cortex and medulla) was significantly negatively correlated with body mass index (−0.44, p-value < 0.0001 for allograft cortex and −0.42, p-value = 0.0001 for allograft medulla), and positively correlated with Proteinuria/Creatinuria ratio (0.33, p-value = 0.0021 for allograft cortex and 0.28, p-value = 0.0105 for allograft medulla) but remained statistically significant only in cases with stable function. The cortical tissue stiffness proved significantly higher values for patients with allograft dysfunction as compared to patients with stable function, but to evolve as an additional tool for the evaluation of patients with a kidney transplant and to change the clinical practice, more extensive studies are needed.


2016 ◽  
Vol 16 (4) ◽  
pp. 1113-1128 ◽  
Author(s):  
S. Shabir ◽  
H. Smith ◽  
B. Kaul ◽  
A. Pachnio ◽  
S. Jham ◽  
...  

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