Recent Advances of Kidney Transplantation: Part II

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Nephrology & Urology".

Deadline for manuscript submissions: 15 October 2024 | Viewed by 1755

Special Issue Editors


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Guest Editor
Clinic of Nephrology and Renal Transplantation, Laiko General Hospital, Medical School of Athens, National and Kapodistrian University, Athens, Greece
Interests: nephrology; renal transplantation; immunology; glomerular diseases
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Guest Editor
Department of Transplantation Surgery, Aristotle University School of Medicine, Thessaloniki, Greece
Interests: liver transplantation; hepatobiliary surgery; pancreatic surgery; kidney transplantation
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Special Issue Information

Dear Colleagues,

It is our pleasure to invite you to contribute to this Special Issue entitled “Recent Advances of Kidney Transplantation: Part II”. We published 20+ papers in the first volume. For more details, please visit:
https://www.mdpi.com/journal/jcm/special_issues/kidney_transplantation_2021

The significant challenges that we have faced during the pandemic, together with the continuing and impressive progress that we have witnessed in renal transplantation, have shown that this is an excellent opportunity to evaluate renal transplantation at present, and, more importantly, in the future. The areas of interest in this Special Issue include:

1) Translational research in renal transplantation;
2) Challenges in living donor renal transplantation;
3) The use of extended criteria grafts in renal transplantation;
4) The current status of non-heart-beating renal transplantation;
5) Challenges and opportunities with the use of pumps in renal
transplantation;
6) Transplant system organizational issues;
7) The effect of the pandemic in renal transplantation;
8) The role of telemedicine and the future of renal transplantation;
9) Three-dimensional printing and artificial intelligence in renal transplantation;
10) Newer immunosuppression medications and protocols.

However, these are only suggestions. We look forward to hearing from you and working with you to make this Special Issue a key resource of information for our colleagues, thus improving our patients’ lives.

Prof. Dr. Ioannis Boletis
Prof. Dr. Georgios Tsoulfas
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Clinical Medicine is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • translational research
  • renal transplantation
  • living donor renal transplantation
  • extended criteria
  • non-heart beating donors
  • renal pumps
  • pandemic
  • artificial intelligence
  • immunosuppression
  • transplantation surgery

Related Special Issue

Published Papers (2 papers)

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17 pages, 2056 KiB  
Article
Exploring Perturbations in Peripheral B Cell Memory Subpopulations Early after Kidney Transplantation Using Unsupervised Machine Learning
by Ariadni Fouza, Anneta Tagkouta, Maria Daoudaki, Maria Stangou, Asimina Fylaktou, Konstantinos Bougioukas, Aliki Xochelli, Lampros Vagiotas, Efstratios Kasimatis, Vasiliki Nikolaidou, Lemonia Skoura, Aikaterini Papagianni, Nikolaos Antoniadis and Georgios Tsoulfas
J. Clin. Med. 2023, 12(19), 6331; https://doi.org/10.3390/jcm12196331 - 01 Oct 2023
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Abstract
Background: B cells have a significant role in transplantation. We examined the distribution of memory subpopulations (MBCs) and naïve B cell (NBCs) phenotypes in patients soon after kidney transplantation. Unsupervised machine learning cluster analysis is used to determine the association between the cellular [...] Read more.
Background: B cells have a significant role in transplantation. We examined the distribution of memory subpopulations (MBCs) and naïve B cell (NBCs) phenotypes in patients soon after kidney transplantation. Unsupervised machine learning cluster analysis is used to determine the association between the cellular phenotypes and renal function. Methods: MBC subpopulations and NBCs from 47 stable renal transplant recipients were characterized by flow cytometry just before (T0) and 6 months after (T6) transplantation. T0 and T6 measurements were compared, and clusters of patients with similar cellular phenotypic profiles at T6 were identified. Two clusters, clusters 1 and 2, were formed, and the glomerular filtration rate was estimated (eGFR) for these clusters. Results: A significant increase in NBC frequency was observed between T0 and T6, with no statistically significant differences in the MBC subpopulations. Cluster 1 was characterized by a predominance of the NBC phenotype with a lower frequency of MBCs, whereas cluster 2 was characterized by a high frequency of MBCs and a lower frequency of NBCs. With regard to eGFR, cluster 1 showed a higher value compared to cluster 2. Conclusions: Transplanted kidney patients can be stratified into clusters based on the combination of heterogeneity of MBC phenotype, NBCs and eGFR using unsupervised machine learning. Full article
(This article belongs to the Special Issue Recent Advances of Kidney Transplantation: Part II)
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13 pages, 1276 KiB  
Brief Report
Plasma miR-150-5p in Renal Transplant Recipients with Acute Antibody-Mediated Rejection
by Iván Zepeda-Quiroz, Carlos A. Guzmán-Martín, Mario Peña-Peña, José D. Juárez-Villa, Maria V. Soto-Abraham, Miguel A. Vázquez-Toledo, Rogelio F. Jiménez-Ortega, Bernardo Moguel-González, Horacio Osorio-Alonso, Fausto Sánchez-Muñoz and César Flores-Gama
J. Clin. Med. 2024, 13(6), 1600; https://doi.org/10.3390/jcm13061600 - 11 Mar 2024
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Abstract
Background: Rejection continues to be the main cause of renal graft loss. Currently, the gold standard for diagnosis is an allograft biopsy; however, because it is time-consuming, costly, and invasive, the pursuit of novel biomarkers has gained interest. Variation in the expressions [...] Read more.
Background: Rejection continues to be the main cause of renal graft loss. Currently, the gold standard for diagnosis is an allograft biopsy; however, because it is time-consuming, costly, and invasive, the pursuit of novel biomarkers has gained interest. Variation in the expressions of miRNAs is currently considered a probable biomarker for the diagnosis of acute rejection. This study aimed to determine whether miR-150-5p in serum is related to microvascular damage in patients with acute antibody-mediated rejection (ABMR). Methods: A total of 27 patients who underwent renal transplantation (RT) with and without ABMR were included in the study. We performed the quantification of hsa-miR-150-5p, hsa-miR-155, hsa-miR-21, hsa-miR-126, and hsa-miR-1 in plasma by RT-qPCR. The expressions between the groups and their correlations with the histological characteristics of the patients with ABMR were also investigated. Results: miR-150-5p significantly increased in the plasma of patients with rejection (p < 0.05), and the changes in miR-150-5p were directly correlated with microvascular inflammation in the allograft biopsies. Clinical utility was determined by ROC analysis with an area under the curve of 0.873. Conclusions: Our results show that the patients with RT with ABMR exhibited increased expression of miR-150-5p compared to patients without rejection, which could have clinical consequences, as well as probable utility in the diagnosis of ABMR, and bioinformatics may help in unraveling the molecular mechanisms underlying ABMR conditions. Full article
(This article belongs to the Special Issue Recent Advances of Kidney Transplantation: Part II)
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