Evaluation of Regulatory B Cell Subpopulations CD24++CD38++, CD24++CD27+, Plasmablasts and Their Correlation with T Regs CD3+CD4+CD25+FOXP3+ in Dialysis Patients and Early Post-Transplant Rejection-Free Kidney Recipients

Author:

Fouza Ariadni1,Fylaktou Asimina2,Tagkouta Anneta34,Daoudaki Maria3,Vagiotas Lampros1,Kasimatis Efstratios5ORCID,Stangou Maria5ORCID,Xochelli Aliki2,Nikolaidou Vasiliki2,Katsanos Georgios1,Tsoulfas Georgios1ORCID,Skoura Lemonia6,Papagianni Aikaterini5,Antoniadis Nikolaos1

Affiliation:

1. Department of Transplant Surgery, Center for Research and Innovation in Solid Organ Transplantation School of Medicine, Aristotle University of Thessaloniki, Ippokratio General Hospital, 54642 Thessaloniki, Greece

2. National Peripheral Histocompatibility Center, Department of Immunology, Ippokration General Hospital, 54642 Thessaloniki, Greece

3. Laboratory of Biological Chemistry, School of Medicine, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece

4. Department of Hygiene, Social-Preventive Medicine & Medical Statistics, School of Medicine, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece

5. 1st Department of Nephrology, School of Medicine, Aristotle University of Thessaloniki, Ippokration General Hospital, 54642 Thessaloniki, Greece

6. Microbiology Laboratory, Department of Immunology, AHEPA University Hospital, 54636 Thessaloniki, Greece

Abstract

Background: B and T regulatory cells, also known as Bregs and Tregs, are involved in kidney transplantation. The purpose of this study is to monitor changes in the frequency and absolute numbers of Tregs (CD3+CD4+CD25+FoxP3+), transitional Bregs (tBregs) (CD24++CD38++), memory Bregs (mBregs) (CD24++CD27+), and plasmablasts before (T0) and six months (T6) after transplantation. Additionally, we aim to investigate any correlation between Tregs and tBregs, mBregs, or plasmablasts and their relationship with graft function. Methods: Flow cytometry was used to immunophenotype cells from 50 kidney recipients who did not experience rejection. Renal function was assessed using the estimated glomerular filtration rate (eGFR). Results: At T6, there was a significant decrease in the frequency of Tregs, plasmablasts, and tBregs, as well as in the absolute number of tBregs. The frequency of mBregs, however, remained unchanged. Graft function was found to have a positive correlation with the frequency of tBregs and plasmablasts. A significant correlation was observed between the frequency and absolute number of tBregs only when the eGFR was greater than 60 but not at lower values. At an eGFR greater than 60, there was a positive correlation between the absolute numbers of Tregs and mBregs but not between Tregs and tBregs. No correlation was observed for any cell population in dialysis patients. Conclusions: The data show a correlation between the frequency and absolute number of tBregs and the absolute number of Tregs and mBregs with good renal function in the early post-transplant period.

Publisher

MDPI AG

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