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Background: Acute kidney injury (AKI) is a leading cause of early post-transplant kidney damage. Furthermore, acute tubular necrosis (ATN) is appointed as the most prevalent form of AKI, a frequent multifactorial process associated with high morbidity and mortality, yet giving rise to delayed graft function (DGF) and, ultimately, allograft dysfunction. Common factors such as prolonged cold ischemia time, advanced donor age, cadaveric versus living donor, donor history of hypertension, as well as donation after cardiac death have all been deemed risk factors for ATN. With the increasing number of older cadaveric and cardiac donors in the donation process, ATN could have a detrimental impact on patient welfare. Therefore understanding the underlying process would benefit the transplant outcome. We aimed to prospectively monitor several T cell subsets in a cohort of kidney transplant recipients (KTrs) to investigate whether there is an adaptive immune-mediated involvement in the ATN process., Methods: Peripheral blood was collected from 31 KTrs at different time points within the first-year post-transplantation for in vitro stimulation with Concanavalin-A (Con-A) in a humidified 5% CO2 incubator at 37 °C for 72 hours. Upon cell stimulation, flow cytometry was applied to quantify the surface expression through the median fluorescence intensity (MFI) of CD4+CD25+, CD8+CD25+, CD4+CD38+, CD8+CD38+, CD4+CD154+, CD8+CD154+, CD4+CD69+, CD8+CD69+, CD4+CD95+, and CD8+CD95+ T cells. Statistical analysis was carried out with SPSS Statistics IBM v.25 (IBM Corp, Armonk, NY, USA). MFIs values were compared using a univariate analysis by a nonparametric U-Mann Whitney test. ROC analysis was applied to define cut-off values most capable of stratifying patients at high risk of ATN. Spearman's rank-order coefficient test was applied to correlate biomarkers with allograft function. Multivariate regression independently validated CD8+ T lymphocytes as surrogate biomarkers of ATN. A p -value < 0.05 was considered statistically significant., Results: KTrs who developed ATN upon transplantation had significantly higher expression of CD25, CD69, and CD95 on CD8+ and lower expression of CD95 on CD4+ T lymphocytes than patients with stable graft function. ROC curve analysis showed that MFIs ≥1015.20 for CD8+CD25+, ≥2489.05 for CD8+CD69+, ≥4257.28 for CD8+CD95+, and ≤1581.98 for CD4+CD95+ were capable of stratifying KTrs at high risk of ATN. Furthermore, patients with an MFI below any cut-off were significantly less likely to develop ATN than those with other values. The allograft function was correlated with the CD4+CD95+/CD8+CD95+ ratio in KTrs who developed ATN. The multivariate analysis confirmed that, within the first-month post-transplant, MFI values of CD8+CD25+, CD4+CD95+, and CD8+CD95+ T lymphocytes, along with donor age, serum creatinine, and GFR were independent risk factors to ATN. Moreover, we were also able to corroborate previous immune factors of importance in immune-mediated response to the allograft, such as the patient's maximum panel reactive antibody (PRA) or the maintenance immunosuppression therapy., Conclusions: Our results demonstrate evidence for the implication of CD8+ T lymphocytes in the development of ATN early in the post-transplant phase. Post-transplant monitoring of activated CD8+ T lymphocytes may help identify which patients require further clinical intervention to prevent graft damage., Competing Interests: The authors declare no conflict of interest., (© 2023 The Author(s). Published by IMR Press.)

The process and evolution of an organ transplant procedure has evolved in terms of the prevention of immunological rejection with the improvement in the determination of immune response genes. These techniques include considering more important genes, more polymorphism detection, more refinement of the response motifs, as well as the analysis of epitopes and eplets, its capacity to fix complement, the PIRCHE algorithm and post-transplant monitoring with promising new biomarkers that surpass the classic serum markers such as creatine and other similar parameters of renal function. Among these new biomarkers, we analyze new serological, urine, cellular, genomic and transcriptomic biomarkers and computational prediction, with particular attention to the analysis of donor free circulating DNA as an optimal marker of kidney damage.

Transforming growth factor-β (TGF-β) has been associated with numerous human infections, but its role in the occurrence of opportunistic infection (OI) after solid organ transplantation remains unexplored. This study aimed to assess the utility of the TGF-β following in vitro stimulation of whole peripheral blood (WPB) as a surrogate biomarker of post-transplant OI in a cohort of liver and kidney recipients. Thirty liver and thirty-one kidney transplant recipients were recruited to be prospectively monitored for one-year post-transplantation. Enzyme-linked immunosorbent assay (ELISA) was performed to calculate IFN-γ, IL-17, IL-10 and TGF-β concentration in the supernatant from the activated WPB. Recipients showed higher TGF-β concentrations compared to IFN-γ, IL-17, IL-10 at baseline, although these differences were not significant between INF and NoINF. However, recipients who developed an OI within the first sixth months had a higher concentration of TGF-β than those without OI. A concentration of TGF-β > 363.25 pg/ml in liver and TGF-β > 808.51 pg/ml in kidney recipients were able to stratify patients at high risk of OI with a sensitivity and specificity above 70% in both types of solid organ transplantations. TGF-β could provide valuable information for the management of liver and kidney recipients at risk of post-transplant infection., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021 American Society for Histocompatibility and Immunogenetics. Published by Elsevier Inc. All rights reserved.)

Background: The role of an alloimmune response against non-self-antigens is established in organ transplantation. HLA incompatibilities are mainly responsible for this recognition between donor and recipient, but they may also be involved in the reactivity against other alloantigens expressed on the allograft resulting from an autoimmune response developed against selfantigens., Objective: Our study aimed to determine the presence of non-anti-HLA antibodies (anti-AT1R and anti-ETAR) in sera from patients with end-stage renal disease, who underwent kidney transplantation in pre- and post-transplantation samples to study their influence on the development and evolution of acute humoral rejections and DSAs., Methods: Antibodies (Abs) against two G protein-coupled receptors (GPCRs), angiotensin II type 1 receptor (AT1R) and endothelin-1 type A receptor (ETAR), have been detected in the sera of transplant recipients, who experience allograft dysfunction, patients with coronary heart disease, marginal hypertension and refractory, vascular lesions, myocardial hypertrophy and chronic inflammatory diseases, such as atherosclerosis or sclerosis., Results: Kidney graft recipients were monitored for anti-ETAR, -AT1R, and -HLA Abs in pre-and post-transplant evolution, and anti-AT1R and/or -ETAR Abs were detected in 24% of recipients (22.4% with anti-AT1R Abs and 9.8% with anti-ETAR Abs). Due to acute humoral rejection, Graft loss was detected in 6.4% of patients with anti-GPCRs non-HLA Abs, and 3.2% had DSA anti-HLA Abs. In this research, we have described how the function of the anti-GPCRs autoAbs and how these Abs that activate GPCRs could influence graft outcome., Conclusion: In conclusion, there is a high association of non-HLA anti-GPCRs Abs levels with reduced kidney function after transplantation, especially in the presence of DSA anti-HLA Abs. Although more studies are needed, anti-AT1R and anti-ETAR antibodies may be helpful biomarkers that allow the risk of graft loss to be assessed., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

The introduction of anti-calcineurin-based therapies has led to an increase in the one-year survival as well as graft function rates in patients undergoing solid organ transplantation (SOT). Nonetheless, early cellular acute rejection (EAR) incidence still remains a major challenge that irrevocably heads to poor outcomes. The mechanisms underlying CD4 T cell activation in SOT are still under research. In this sense, CD28 co-stimulatory molecule plays a pivotal role triggering CD4 T cell activation as well as survival maintenance. Previous own studies stated the role that CD4 + CD28 + circulating T lymphocytes plays before and during EAR episodes. We assessed the percentage as well as the absolute number of CD28 molecules on CD4 + T cells as predictive surrogate biomarker of EAR in a prospective cohort of liver and kidney transplant recipients. Quantitative analysis of CD28 was carried out on whole peripheral blood samples by flow cytometry. Decreased pre-transplant expression of CD28 was associated with EAR in both study groups. Furthermore, the expression of CD28 within the rejected group, experimented an up-regulation upon transplantation. These preliminary results suggest that patients undergoing liver or kidney transplant can be stratified at high risk of EAR according to their CD28 molecule expression on peripheral CD4 + T lymphocytes., (Copyright © 2017 Elsevier B.V. All rights reserved.)

Background: Acute rejection (AR) remains a significant cause of graft loss. Better approaches to predict AR are being investigated. Surface CD28 protein is essential for T-cell proliferation and survival as well as cytokine production., Patients and Methods: Pretransplant CD4 + CD28 + peripheral T cells were examined in 30 liver recipients (LRs) and 31 kidney recipients (KRs) by flow cytometry., Results: Pretransplant CD4 + CD28 + T cells in LRs were significantly lower in rejectors than nonrejectors (P = .002). Furthermore, the total number of CD28 molecules per cell in LRs (P = .02) as well as KRs (P = .047) was significantly lower in rejectors than nonrejectors. The healthy group did not display differences when compared with patients with end-stage liver disease or renal failure; however, stratification analysis displayed higher levels of CD4 + CD28 + when compared with rejected LRs (P = .04) but not KRs. CD28 levels <41.94% were able to discriminate LRs at high risk of AR (P = .003). Similarly, a total number of CD28 molecules ≤8359 (P = .031) in LRs and ≤7669 (P = .046) in KRs correlated with high risk of AR., Conclusion: The preliminary results presented herein exhibit a fast and noninvasive method that assists clinicians to prevent AR by monitoring CD4 + CD28 + peripheral T cells., (Copyright © 2016 Elsevier Inc. All rights reserved.)

The aim of this study was to find noninvasive T-cell markers able to predict rejection or infection risk after kidney transplantation. We prospectively examined T-lymphocyte subsets after cell culture stimulation (according to CD38, CD69, CD95, CD40L, and CD25 expression) in 79 first graft recipients from four centers, before and after transplantation. Patients were followed up for one year. Patients who rejected within month-1 (n=10) showed high pre-transplantation and week-1 post-transplantation percentages of CD95(+), in CD4(+) and CD8(+) T-cells (P<0.001 for all comparisons). These biomarkers conferred independent risk for early rejection (HR:5.05, P=0.061 and HR:75.31, P=0.004; respectively). The cut-off values were able to accurately discriminate between rejectors and non-rejectors and Kaplan-Meier curves showed significantly different free-of-rejection time rates (P<0.005). Patients who rejected after the month-1 (n=4) had a higher percentage of post-transplantation CD69(+) in CD8(+) T-cells than non-rejectors (P=0.002). Finally, patients with infection (n=41) previously showed higher percentage of CD38(+) in CD8(+) T-cells at all post-transplantation times evaluated, being this increase more marked in viral infections. A cut-off of 59% CD38(+) in CD8(+) T-cells at week-1, week-2 and month-2 reached 100% sensitivity for the detection of subsequent viral infections. In conclusion, predictive biomarkers of rejection and infection risk after transplantation were detected that could be useful for the personalized care of kidney recipients., (Copyright © 2016 Elsevier B.V. All rights reserved.)

We report three interesting cases concerning antibody-mediated rejection (AMR), associated or not with anti-donor-specific antibodies, and detection of implicated molecular epitopes. The first report presents a case of intra-allele sensitization. The second case presents an interesting case concerning Luminex mean fluorescence intensity (MFI) levels considered to be low risk antibodies (<1000), but producing AMR. The third case occurred after a second kidney transplantation mediated by antibodies directed against HLA-C antigens (MFI<1000) in the previous transplantation (which was considered to be an indicator of low-risk of AMR)., (Copyright© 2017 by the Terasaki Research Institute.)

Background: Prognostic biomarkers of acute rejection (AR) in solid organ transplantation have been addressed in multiple small retrospective studies, and there is a critical need for multicenter studies. Because of their tolerogenic properties, regulatory T cells (Tregs) play an important role in transplant outcome., Methods: In the present multicenter study, we have retrospectively examined different Treg subpopulations in an independent cohort of kidney transplant patients within first year after kidney transplantation. All participating centers used identical flow cytometry standard operating procedures., Results: Seventy-five renal transplant patients were included, and six of them experienced an AR episode. The activated Treg (aTreg) subpopulation (CD4CD25CD62LCD45RO) was increased in the AR group before transplantation, and an aTreg percentage higher than 1.46% before kidney transplantation conferred an increased risk of AR. The univariate logistic regression model achieved an area under the curve of 81.6%. By including recipient age and thymoglobulin induction as variables in a multivariate logistic regression model, the prediction of AR improved to 92.4%., Conclusion: The evaluation of CD4CD25CD62LCD45RO aTreg cells may be useful as pretransplantation predictive biomarker of AR in kidney transplant patients. Definitive confirmation of our results awaits tests in validation groups.

Acute rejection (AR) remains a major challenge in organ transplantation, and there is a need for predictive biomarkers. In the present multicenter study, we prospectively examined a series of biomarkers in liver and kidney recipients. Intracellular expression of IFN-γ, IL-17 and IL-2 and IL-17 soluble production were evaluated both pre-transplantation and post-transplantation (1st and 2nd week, 1st, 2nd and 3rd month). 142 transplant patients (63 liver/79 kidney) were included in the study. Twenty-eight recipients (14 liver/14 kidney) developed AR. Pre- and post-transplantation intracellular expression of %IFN-γ(+) in CD4(+)CD69(+) and in CD8(+)CD69(+) and soluble IL17 identified liver and kidney transplant patients at high risk of AR. Pre-transplantation, %IL-2(+) in CD8(+)CD69(+) also identified kidney patients at high risk. We constructed pre- and post-transplantation risk prediction models, based on a composite panel of biomarkers, which could provide the basis for future studies and will be a useful tool for the selection and adjustment of immunosuppressive treatments., (Copyright © 2014 Elsevier Inc. All rights reserved.)

We report an interesting case concerning an irreversible antibody-mediated rejection (AMR), associated with anti-HLA-C DSA, which occurred after a second kidney transplantation despite having determined a low number of antibodies directed against HLA-C antigens (MFI<1000) in the previous transplantation (which was then considered to be an indicator of low risk of AMR). A 63-year-old woman was re-transplanted with pre-transplant (PrT) sensitization. On day 7 post-transplantation, oligoanuria occurred and increased MFIs for the detected PrT antibodies and other antibodies (non-detected or detected with very low PrT MFI) were observed. SAB assay also showed antibodies against the second donor HLA-C mismatches and other HLA-C antigens. Nephrologists suspected AMR and the patient was therefore treated with methylprednisolone/plasmapheresis/IVIG/anti-CD20 without improvement, which led to transplantectomy. Histologic analysis confirmed acute AMR. Interestingly, it was possible to define exactly the potential immunizing epitopes whose recognition determines the specific antibody production. So, 1st donor DSAs (detected PrT with low MFI), 2nd donor DSAs (detected PTP), and non-DSA detected PTP have several shared eplets, being the 11AVR eplet the only one present on all alleles. Thus, the recognition of 11AVR eplet in the first transplant modeled the patient's antibody response. Therefore, we propose that donor HLA-C typing should always be performed for recipients with anti-HLA-C antibodies, and specific shared-eplets should be investigated in order to determine previous transplant mismatches., (Copyright © 2014 American Society for Histocompatibility and Immunogenetics. Published by Elsevier Inc. All rights reserved.)

Human leukocyte antigen (HLA) antibodies are usually "epitope" and not "antigen" specific. This work presents an interesting case concerning Luminex median fluorescence intensity (MFI) levels in antibodies considered low risk (<1,000), but producing humoral rejection. These low-titer antibodies could play an important role in transplantation. A 42-year-old woman was retransplanted with a deceased donor with negative complement-dependent cytotoxicity cross-matching. Our patient was pretransplant (PrT) sensitized to HLA antigens (single antigens (SA) = 31%) for 1 previous transplant. Thus, the formerly detected sensitized antigens were A32, A30, A31, cross-reacting group 5C, and DQ3 with a MFI(max) ≈ 4,127. In the posttransplantation period (PTP), the patient exhibited important instability in renal function and we detected an increased SA percentage (61%) with MFI(max) = 15,029 (A*32) with other antigens (detected with a low PrT MFI [<1,000]) as anti-A*03 (MFI(max) = 13,301) and anti-A*11 (MFI(max) = 13,714) specificities. Anti-A*03 was a donor-specific antibody (DSA). Renal biopsy was compatible with humoral rejection. The patient was pulsed with methylprednisolone, plasmapheresis, and intravenous immunoglobulin without improvement. Thus, we added anti-CD20 and the initial clinical response was highly favorable. Biopsies resulted in suggestive rejection reversion. MFI A*03 DSA decreased to 6,908 and later to MFI(max) = 5,505. After a 6-month PTP, the patient is well with MFI(max) = 3,124. It was possible to define exactly the potential immunizing epitope eplets whose recognition determined the specific antibody production. A*32:01, A*30:01, A*31:01 (detected PrT), A*11:01, and A*03:01 (detected PTP) alleles have several shared eplets (62QE, 70AQS, and 76VGT), with 62QE being the only eplet present on all alleles. In conclusion, low MFI levels in antibodies considered low risk could be important in posttransplant humoral rejection, although the patient's renal function can be restored. Thus, specific shared eplets should always be investigated with respect to previous transplant mismatches., (Copyright © 2012 American Society for Histocompatibility and Immunogenetics. Published by Elsevier Inc. All rights reserved.)

Human leukocyte antigen (HLA) antibodies are epitope specific and not antigen specific. This work presents a case of intra-allele (IA) sensitization. A 40-year-old-man underwent transplantion with identical "broad" DR. He was apparently not sensitized to HLA antigens by complement-dependent cytotoxicity (CDC), with one previous transplantation 15 years previously. In post-transplantation monitoring, we detected an "intra-broad antigen" (IBA) anti-DRB1*13 DSA by Luminex. We performed post-transplantation B-cell cross-matching (CM) by CDC, this being completely negative. We detected allele-specific antibodies by single antigens (SA), anti-DRB1*1303 (IBA), -DQB1*0301 (IA), -DRB1*1101, -DRB3*0101, anti-DPB1*0202, and anti-DRB1*0103. These antibodies originated from the first transplantation, HLA-DR6+ homozygous and serologically broad matched, but retrospectively typed as DRB1*1401, *1303; DRB3*0101, *0202; DQB1*0301, *0503; DPB1*0401, *0202 (mismatches in italics). However the second donor was DRB1*1301, *1401 (DR6+ homozygous); DRB3*0202; DQB1*0603, *0503; DPB1*0401 (mismatches in italic). Therefore, the stronger antibodies generated in the first transplantion (anti-DRB1*1303 and -DQB1*0301) were not specific for the specific subtypes (DRB1*1301 and -DQB1*0603) on the second transplantation. Finally, it was possible to exactly define the potential immunizing epitopes the recognition of which determined antibody production. Therefore, our patient had low titers of pretransplantation IBA and IA antibodies that were not prospectively detected by CDC. Post-transplantation with Luminex, we detected these alloantibodies, but as they were not IA and IBA DSA, they did not cause allograft injury., (Copyright 2010 American Society for Histocompatibility and Immunogenetics. Published by Elsevier Inc. All rights reserved.)