T-cell Mediated Rejection Research Articles

Protocol Biopsy After Kidney Transplant: Clinical Application and Efficacy to Detect Allograft Rejection.

Background Kidney transplant rejection is a major cause of graft dysfunction and failure. In recent years, there has been increased interest in renal allograft protocol biopsies to allow earlier detection of acute or chronic graft dysfunction or rejection to improve long-term graft survival and reduce graft failure. This study aimed to determine if renal allograft protocol biopsies performed within the first 12 months after transplantation help detect subclinical graft dysfunction or rejection. Methods We performed a retrospective analysis utilizing SUNY Upstate University Hospital data from January 2016 to March 2022 to assess transplant outcomes and biopsies. The study population was divided into two subgroups: non-protocol biopsies and protocol biopsies within the 12 months post-transplant. Results A total of 332 patients met our inclusion criteria and were included in the study. Patients were divided into two subgroups: 135 patients (40.6%) in the protocol biopsy group and 197 patients (59.4%) with non-protocol indication biopsies during the first year after the transplant. The overall number of rejection episodes reported was eight episodes (4.6%) in the protocol biopsy group and 56 episodes (18.3%) in the non-protocol indication biopsy group, which was significantly higher in the non-protocol biopsy group (P=0.001). Antibody-mediated rejection (ABMR) and T-cell-mediated rejection (TCMR) diagnoses were significantly higher in the non-protocol biopsy group (P=0.03 and P=0.03, respectively). We also mentioned a trend in terms of mixed antibody-mediated rejection and T-cell-mediated rejection diagnosis (P=0.07). One year after the rejection, the mean glomerular filtration rate(GFR) was 56.78 mL/min/1.73m2 in the protocol biopsy group and 49.14 mL/min/1.73m2 in the non-protocol indication biopsy group, and there was no significant difference anymore (P=0.11). The patient survival rate was not significantly higher in the protocol biopsy group compared to the non-protocol indication biopsy group (P=0.42). Conclusion This study suggests that performing protocol biopsies does not significantly benefit rejection rates, graft survival, or renal function within the first 12 months post-transplant. Given these results and the small but non-zero risk of complications associated with protocol biopsies, they should be reserved for those patients at high risk of rejection. It may be more feasible and beneficial to utilize less invasive tests, such as DSA and dd-cfDNA testing, for early diagnosis of a rejection episode.

Biomarkers of alloimmune events in pediatric kidney transplantation.

Alloimmune events such as the development of de novo donor-specific antibody (dnDSA), T cell-mediated rejection (TCMR), and antibody-mediated rejection (ABMR) are the primary contributors to kidney transplant failure in children. For decades, a creatinine-based estimated glomerular filtration rate (eGFR) has been the non-invasive gold standard biomarker for detecting clinically significant alloimmune events, but it suffers from low sensitivity and specificity, especially in smaller children and older allografts. Many clinically "stable" children (based on creatinine) will have alloimmune events known as "subclinical acute rejection" (based on biopsy) that merely reflect the inadequacy of creatinine-based estimates for alloimmune injury rather than a distinct phenotype from clinical rejection with allograft dysfunction. The poor biomarker performance of creatinine leads to many unnecessary surveillance and for-cause biopsies that could be avoided by integrating non-invasive biomarkers with superior sensitivity and specificity into current clinical paradigms. In this review article, we will present and appraise the current state-of-the-art in monitoring for alloimmune events in pediatric kidney transplantation. We will first discuss the current clinical standards for assessing the presence of alloimmune injury and predicting long-term outcomes. We will review principles of biomarker medicine and the application of comprehensive metrics to assess the performance of a given biomarker against the current gold standard. We will then highlight novel blood- and urine-based biomarkers (with special emphasis on pediatric biomarker studies) that have shown superior diagnostic and prognostic performance to the current clinical standards including creatinine-based eGFR. Finally, we will review some of the barriers to translating this research and implementing emerging biomarkers into common clinical practice, and present a transformative approach to using multiple biomarker platforms at different times to optimize the detection and management of critical alloimmune events in pediatric kidney transplant recipients.

Donor-Derived Cell-Free DNA and Active Rejection in Renal Allografts.

Renal allograft rejection contributes to significant morbidity and graft loss. In this setting, early detection of rejection is of paramount importance, which currently relies on histopathology. A reliable non-invasive marker to predict rejection would make surveillance and decision-making easier. Donor-derived cell-free DNA (dd-Cf-DNA) has recently been reported as an emerging tool to predict rejection noninvasively. The utility of cell-free DNA in clinical practice has so far not been studied in an Indian setting. As it offers direct clinical application, we have chosen to investigate this biomarker as a tool to predict rejection. A pilot study with convenient sample size was designed, as this is the first of its kind study so far reported from India. Patients being evaluated with a graft biopsy for graft dysfunction were included. Patients with stable graft function, defined as creatinine within 10% of their best creatinine and no proteinuria for the preceding 12 months, were also included. Ten milliliters of whole blood from each of the recipients was collected in DNA isolation tubes. Two milliliters of donor blood was also obtained in ethylenediaminetetraacetic acid (EDTA) tubes. All recipients also provided a buccal swab. Total cell-free DNA was extracted from 2 ml of recipient plasma using circulating DNA isolation kit. Upon identification of the donor-specific DNA marker for each of the patients from the paired donor sample, presence of the cell-free DNA fraction in the recipient's plasma was detected and quantified. Renal biopsy reports and clinical details were also recorded. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were analyzed. Receiver operating characteristic (ROC) curve analysis was also performed. A total of 31 patients were recruited. Twenty patients underwent graft biopsies for graft dysfunction, of which 12 patients had features of active rejection and eight had nonrejection causes of graft dysfunction. Eleven patients with stable graft were included in the study. In our study, dd-Cf-DNA performed best in predicting antibody-mediated rejection (ABMR) and higher grades of T-cell-mediated rejection (TCMR) (1B). It did not detect TCMR 1A accurately. It serves as a good marker to rule out rejection. It gave a NPV of 100% for TCMR 1B or ABMR, 100% for ABMR alone, and 81% for any rejection. dd-Cf-DNA percentages outperform absolute concentrations in their discriminatory ability. We have demonstrated the diagnostic accuracy of dd-Cf-DNA in predicting active rejection of the renal allograft. It performs well in ABMR and higher grades of TCMR. This is the first of its kind study reported from India, to the best of our knowledge. This tool serves as a good rule out test for ABMR and higher grades of TCMR. It performs poorly in TCMR 1A.

Clinicopathological Analyses of Chronic Renal Allograft Arteriopathy after Kidney Transplantation

Introduction: Herein, we discuss clinicopathological analyses of cases of chronic renal allograft arteriopathy (CRA) after renal transplantation and clarify the mechanisms underlying the development and prognostic significance of CRA. Methods: CRA was diagnosed in 34 renal allograft biopsy specimens (BSs) obtained from 27 renal transplant patients who were followed up at the Department of Urology and Transplant Surgery, Toda Chuo General Hospital, between January 2010 and December 2020. Results: CRA was diagnosed at a median of 33.4 months post-transplantation. Of the 27 patients, 16 had a history of rejection. Among the 34 BSs showing evidence of CRA, CRA was mild (cv1 in Banff’s classification) in 22, moderate (cv2) in 7, and severe (cv3) in 5 patients. We then classified the 34 BSs showing evidence of CRA based on their overall histopathological features as follows: cv alone seen in 11 (32%) BSs, cv + antibody-mediated rejection (AMR) in 12 (35%), and cv + T-cell-mediated rejection (TCMR) in 8 (24%). Loss of the renal allograft occurred during the observation period in 3 patients (11%). Of the remaining patients with functioning grafts, deterioration of renal allograft function after biopsies occurred in 7 cases (26%). Conclusions: Our study results suggest that AMR contributes to CRA in 30–40% of cases, TCMR in 20–30% of cases, isolated v lesions in 15% of cases, and cv lesions alone in 30%. The intimal arteritis was a prognostic factor in CRA.

Chronic Active T-Cell Mediated Kidney Rejection as a Clinically Significant Type of Allograft Loss?

The purpose of this article is to assess the present knowledge about chronic active (CA) T-cell mediated rejection (TCMR) of a kidney. In the research authors review current Banff diagnostic criteria used in kidney rejection, focus on their possible future evolution, and investigate the role of currently available molecular methods that could be implemented into the diagnostic scheme. Research also points out previously and currently available treatment methods applied to CA TCMR and takes into account possible side effects consequent upon the therapy. Moreover, attention is being paid to the CA TCMR coincidence with other kidney rejection types such as antibody-mediated rejection (ABMR) and its influence on the treatment approach. Authors also mark the possibility of non-HLA antibodies coexistence in patients with CA TCMR and describe its possible resonance on kidney allograft function. Nonetheless, it seems that current knowledge about CA TCMR is not sufficient and requires further investigation.

The Histological Spectrum and Clinical Significance of T Cell-mediated Rejection of Kidney Allografts.

T cell-mediated rejection (TCMR) remains a significant cause of long-term kidney allograft loss, either indirectly through induction of donor-specific anti-HLA alloantibodies or directly through chronic active TCMR. Whether found by indication or protocol biopsy, Banff defined acute TCMR should be treated with antirejection therapy and maximized maintenance immunosuppression. Neither isolated interstitial inflammation in the absence of tubulitis nor isolated tubulitis in the absence of interstitial inflammation results in adverse outcomes, and neither requires antirejection treatment. RNA gene expression analysis of biopsy material may supplement conventional histology, especially in ambiguous cases. Lesser degrees of tubular and interstitial inflammation (Banff borderline) may portend adverse outcomes and should be treated when found on an indication biopsy. Borderline lesions on protocol biopsies may resolve spontaneously but require close follow-up if untreated. Following antirejection therapy of acute TCMR, surveillance protocol biopsies should be considered. Minimally invasive blood-borne assays (donor-derived cell-free DNA and gene expression profiling) are being increasingly studied as a means of following stable patients in lieu of biopsy. The clinical benefit and cost-effectiveness require confirmation in randomized controlled trials. Treatment of acute TCMR is not standardized but involves bolus corticosteroids with lymphocyte depleting antibodies for severe, refractory, or relapsing cases. Arteritis may be found with acute TCMR, active antibody-mediated rejection, or mixed rejections and should be treated accordingly. The optimal treatment ofchronic active TCMR is uncertain. Randomized controlled trials are necessary to optimally define therapy.

The Molecular Microscope Diagnostic System: Assessment of Rejection and Injury in Heart Transplant Biopsies.

This review describes the development of the Molecular Microscope Diagnostic System (MMDx) for heart transplant endomyocardial biopsies (EMBs). MMDx-Heart uses microarrays to measure biopsy-based gene expression and ensembles of machine learning algorithms to interpret the results and compare each new biopsy to a large reference set of earlier biopsies. MMDx assesses T cell-mediated rejection (TCMR), antibody-mediated rejection (AMR), recent parenchymal injury, and atrophy-fibrosis, continually "learning" from new biopsies. Rejection-associated transcripts mapped in kidney transplants and experimental systems were used to identify TCMR, AMR, and recent injury-induced inflammation. Rejection and injury emerged as gradients of intensity, rather than binary classes. AMR was one-third donor-specific antibody (DSA)-negative, and many EMBs first considered to have no rejection displayed minor AMR-like changes, with increased probability of DSA positivity and subtle inflammation. Rejection-associated transcript-based algorithms now classify EMBs as "Normal," "Minor AMR changes," "AMR," "possible AMR," "TCMR," "possible TCMR," and "recent injury." Additionally, MMDx uses injury-associated transcript sets to assess the degree of parenchymal injury and atrophy-fibrosis in every biopsy and study the effect of rejection on the parenchyma. TCMR directly injures the parenchyma whereas AMR usually induces microcirculation stress but relatively little initial parenchymal damage, although slowly inducing parenchymal atrophy-fibrosis. Function (left ventricular ejection fraction) and short-term risk of failure are strongly determined by parenchymal injury. These discoveries can guide molecular diagnostic applications, either as a central MMDx system or adapted to other platforms. MMDx can also help calibrate noninvasive blood-based biomarkers to avoid unnecessary biopsies and monitor response to therapy.

Urinary cell mRNA profiling of kidney allograft recipients: Development of a portable protocol for noninvasive diagnosis of T cell mediated rejection and BK virus nephropathy

BackgroundWe developed urinary cell mRNA profiling for noninvasive diagnosis of acute T cell mediated rejection (TCMR) and BK virus nephropathy (BKVN), two significant post-transplant complications. Our profiling protocol for the multicenter Clinical Trial of Transplantation-04 (CTOT-04) study consisted of centrifugation of urine to prepare cell pellets, washes, addition of an RNA preservative, storage at 800C and shipment in cold containers to our Gene Expression Monitoring (GEM) Core for RNA isolation and quantification of mRNA in RT-qPCR assays. To simplify profiling, we developed a filter-based protocol (ZFBP) that eliminated the need for centrifugation, RNA preservative, storage at 800C, and shipment in cold containers for mRNA profiling. Furthermore, we trained kidney allograft recipients to perform the filtration of urine at home using the filter and post the urinary cell lysate containing the RNA at ambient temperature to our GEM Core for profiling. Here, we report our refinement of ZFBP and investigation of its diagnostic performance characteristics. MethodsTotal RNA was isolated from kidney allograft biopsy-matched urines using a filter-based protocol complemented by a silica-membrane-based cartridge for mRNA enrichment, the Weill Cornell Hybrid Protocol (WCHP). Absolute copy numbers of CD3ε mRNA, CXCL10 mRNA, and 18S rRNA, components of the CTOT-04 three-gene TCMR diagnostic signature, and urinary cell BKV VP 1 mRNA copy number were measured using RT-qPCR assays. Mann-Whitney test, Fischer exact test, and receiver operating characteristic (ROC) curve analysis were used for data analyses. ResultsUrinary cell three-gene TCMR diagnostic signature scores in urines processed using the WCHP discriminated kidney allograft recipients with TCMR (12 TCMR biopsies from 11 patients) from those without TCMR or BKVN (29 No TCMR/No BKVN biopsies from 29 patients). The median (25th and 75th percentiles) score of the CTOT-04 three-gene TCMR diagnostic signature was −0.448 (−1.664, 0.204) in the TCMR group and − 2.542 (−3.267, −1.365) in the No TCMR/ No BKVN group (P = 0.0005, Mann-Whitney test). ROC curve analysis discriminated the TCMR group from the No TCMR/ No BKVN group; the area under the ROC curve (AUROC) was 0.84 (95% Confidence Intervals [CI], 0.69 to 0.98) (P < 0.001), and TCMR was diagnosed with a sensitivity of 67% (95% CI, 35 to 89) at a specificity of 86% (95% CI, 67 to 95) using the CTOT-04 validated cutpoint of −1.213 (P = 0.0016, Fisher exact test). BKV VP1 mRNA copy number in urines processed using the WCHP discriminated patients with BKVN (n = 7) from patients without TCMR or BKVN (n = 29) and the AUROC was 1.0 (95% CI, 1.00 to 1.00) (P < 0.0001) and BKVN was diagnosed with a sensitivity of 86% (95% CI, 42 to 99) at a specificity of 100% (95% CI, 85 to 100) with the previously validated cutpoint of 6.5 × 108 BKV-VP1 mRNA copies per microgram of RNA (P < 0.0001, Fisher exact test). ConclusionUrine processed using the WCHP predicted TCMR and BKVN in kidney allograft recipients. WCHP represents not only a significant advance toward the portability of urinary cell mRNA profiling but also improved patient management by minimizing their visits for urine collection.

N6-methyladenosine regulators-related immune genes enable predict graft loss and discriminate T-cell mediate rejection in kidney transplantation biopsies for cause.

The role of m6A modification in kidney transplant-associated immunity, especially in alloimmunity, still remains unknown. This study aims to explore the potential value of m6A-related immune genes in predicting graft loss and diagnosing T cell mediated rejection (TCMR), as well as the possible role they play in renal graft dysfunction. Renal transplant-related cohorts and transcript expression data were obtained from the GEO database. First, we conducted correlation analysis in the discovery cohort to identify the m6A-related immune genes. Then, lasso regression and random forest were used respectively to build prediction models in the prognosis and diagnosis cohort, to predict graft loss and discriminate TCMR in dysfunctional renal grafts. Connectivity map (CMap) analysis was applied to identify potential therapeutic compounds for TCMR. The prognostic prediction model effectively predicts the prognosis and survival of renal grafts with clinical indications (P< 0.001) and applies to both rejection and non-rejection situations. The diagnostic prediction model discriminates TCMR in dysfunctional renal grafts with high accuracy (area under curve = 0.891). Meanwhile, the classifier score of the diagnostic model, as a continuity index, is positively correlated with the severity of main pathological injuries of TCMR. Furthermore, it is found that METTL3, FTO, WATP, and RBM15 are likely to play a pivotal part in the regulation of immune response in TCMR. By CMap analysis, several small molecular compounds are found to be able to reverse TCMR including fenoldopam, dextromethorphan, and so on. Together, our findings explore the value of m6A-related immune genes in predicting the prognosis of renal grafts and diagnosis of TCMR.

The Medawar Prize Acceptance Speech 2022.

The Medawar Prize Acceptance Speech 2022.

Metabolomic Profiling of Plasma, Urine, and Saliva of Kidney Transplantation Recipients.

Kidney biopsy is commonly used to diagnose kidney transplant dysfunction after transplantation. Therefore, the development of minimally invasive and quantitative methods to evaluate kidney function in transplant recipients is necessary. Here, we used capillary electrophoresis-mass spectrometry to analyze the biofluids collected from transplant recipients with impaired (Group I, n = 31) and stable (Group S, n = 19) kidney function and from donors (Group D, n = 9). Metabolomics analyses identified and quantified 97 metabolites in plasma, 133 metabolites in urine, and 108 metabolites in saliva. Multivariate analyses revealed apparent differences in the metabolomic profiles of the three groups. In plasma samples, arginine biosynthesis and purine metabolism between the I and S Groups differed. In addition, considerable differences in metabolomic profiles were observed between samples collected from participants with T cell-mediated rejection (TCR), antibody-mediated rejection, and other kidney disorders (KD). The metabolomic profiles in the three types of biofluids showed different patterns between TCR and KD, wherein 3-indoxyl sulfate showed a significant increase in TCR consistently in both plasma and urine samples. These results suggest that each biofluid has different metabolite features to evaluate kidney function after transplantation and that 3-indoxyl sulfate could predict acute rejection.

Selectively Increased Urinary Endotrophin Levels in T-Cell Mediated Kidney Transplant Rejection

Selectively Increased Urinary Endotrophin Levels in T-Cell Mediated Kidney Transplant Rejection

Correlation of Donor-Derived Cell-Free DNA With Histology and Molecular Diagnoses of T-Cell Mediated Rejection in Kidney Transplant Biopsies

Correlation of Donor-Derived Cell-Free DNA With Histology and Molecular Diagnoses of T-Cell Mediated Rejection in Kidney Transplant Biopsies

Unraveling complexity of antibody-mediated rejections, the mandatory way towards an accurate diagnosis and a personalized treatment

Antibody-mediated rejection (ABMR) remains one of the most challenging issues after organ transplantation and particularly after kidney transplantation. Despite many progresses during the last decade, ABMR is still the main cause of kidney graft loss and this all over the post- transplant period.In this review, we describe the recent knowledge about molecular and cellular mechanisms involved in ABMR. We focused our report on the role of the complement pathway in the process of ABMR and we give some insights into the role of inflammatory cells, NK lymphocytes and the role of endothelial cells. We further describe the potential role of non-HLA antibodies, of which the importance has been increasingly emphasized in recent years.Overall, this report could be of interest for all physicians who are working in the field of organ transplantation or who are working in the field of immunology. It gives essential information to understand new diagnosis advances and further therapeutic approaches.Antibody-mediated rejection (ABMR) is the leading cause of graft failure ([1,2]). In contrast to T-cell mediated rejection usually sensitive to steroids, active ABMR remains a therapeutic challenge. ABMR diagnosis relies on the presence of renal injuries and donor-specific antibodies (DSA) (HLA and non HLA antibodies) with sometimes the evidence of interaction between DSA and graft endothelium. Regularly revised during expert conferences, ABMR definition is currently categorized as active or chronic active. [3] The emergence of validated molecular assays targeting a better phenotyping of ABMR and the recent advances regarding the detrimental effect of DSA directed against minor antigens open the way to a better assessment of the heterogeneity of ABMR. In this review, we will address new aspects of ABMR regarding its mechanisms, diagnosis and treatments.

Evolving the surveillance and workup of heart transplant rejection: A real-world analysis of the Molecular Microscope Diagnostic System

The Molecular Microscope Diagnostic System (MMDx) analyzes RNA transcripts of transplanted heart tissue to differentiate among T cell-mediated rejection (TCMR), antibody-mediated rejection (AMR), injury, and healthy tissue. However, little is known about its performance in relation to other modalities in a real-world heart transplant population. We evaluated whether MMDx performs in agreement with other validated modalities. Two hundred and twenty-eight corresponding endomyocardial biopsies (EMBx) and MMDx specimens from 135 adult heart transplant patients were retrospectively reviewed with correlating donor-derived cell-free DNA (dd-cfDNA). Rejection was classified on EMBx in 29 specimens (TCMR ≥ 2R and/or AMR ≥ 1), on MMDx in 56 specimens, and in 74 values with dd-cfDNA ≥0.20%. Despite moderate agreement between EMBx and MMDx (84% agreement, Cohen's kappa, 0.48, p<.001), systematic differences were observed (McNemar's test, p<.001) where MMDx classified 32 of 37 discordant cases as rejection. MMDx and dd-cfDNA demonstrated slight agreement (72% agreement, Cohen's kappa, 0.39, p<.001); however, systematic differences were also apparent where MMDx classified 12 of 50 discordant specimens as rejection when dd-cfDNA was <0.20% (McNemar's test, p<.001). Our findings provide insight on the performance of MMDx relative to other modalities in a heart transplant cohort and have implications on the surveillance and workup of allograft rejection in heart transplantation.

AIM2 as a putative target in acute kidney graft rejection.

Acute rejection (AR) is a process triggered via the recognition of grafted organ-derived antigens by the immune system, which could present as a life-threatening condition. In the context of a kidney transplant, despite improvement with immunosuppressive therapies, AR maintains a significant incidence of 10%, and currently available drugs generally act in similar and canonical pathways of lymphocyte activation. This prompted the research for different approaches to identify potential novel targets that could improve therapeutic interventions. Here, we conducted a transcriptome analysis comparing groups of acute rejection (including T cell-mediated rejection and antibody-mediated rejection) to stable grafts that included differentially expressed genes, transcription factor and kinase enrichment, and Gene Set Enrichment Analysis. These analyses revealed inflammasome enhancement in rejected grafts and AIM2 as a potential component linked to acute rejection, presenting a positive correlation to T-cell activation and a negative correlation to oxidative phosphorylation metabolism. Also, the AIM2 expression showed a global accuracy in discerning acute rejection grafts (area under the curve (AUC) = 0.755 and 0.894, p < 0.0001), and meta-analysis comprising different studies indicated a considerable enhancement of AIM2 in rejection (standardized mean difference (SMD) = 1.45, [CI 95%, 1.18 to 1.71]), especially for T cell-mediated rejection (TCMR) (SMD = 2.01, [CI 95%, 1.58 to 2.45]). These findings could guide future studies of AIM2 as either an adjuvant target for immunosuppression or a potential biomarker for acute rejection and graft survival.

Urinary Exosomal Cystatin C and Lipopolysaccharide Binding Protein as Biomarkers for Antibody-Mediated Rejection after Kidney Transplantation.

We aimed to discover and validate urinary exosomal proteins as biomarkers for antibody−mediated rejection (ABMR) after kidney transplantation. Urine and for-cause biopsy samples from kidney transplant recipients were collected and categorized into the discovery cohort (n = 36) and a validation cohort (n = 65). Exosomes were isolated by stepwise ultra-centrifugation for proteomic analysis to discover biomarker candidates for ABMR (n = 12). Of 1820 exosomal proteins in the discovery cohort, four proteins were specifically associated with ABMR: cystatin C (CST3), serum paraoxonase/arylesterase 1, retinol-binding protein 4, and lipopolysaccharide−binding protein (LBP). In the validation cohort, the level of urinary exosomal LBP was significantly higher in the ABMR group (n = 25) compared with the T-cell-mediated rejection (TCMR) group and the no major abnormality (NOMOA) group. Urinary exosomal CST3 level was significantly higher in the ABMR group compared with the control and NOMOA groups. Immunohistochemical staining showed that LBP and CST3 in the glomerulus were more abundant in the ABMR group compared with other groups. The combined prediction probability of urinary exosomal LBP and CST3 was significantly correlated with summed LBP and CST3 intensity scores in the glomerulus and peritubular capillary as well as Banff g + ptc scores. Urinary exosomal CST3 and LBP could be potent biomarkers for ABMR after kidney transplantation.

Dysbiosis and Depletion of Fecal Organic Acids Correlate With the Severity of Rejection After Rat Liver Transplantation.

The impact of T cell-mediated rejection (TCMR) after liver transplantation (LT) on the alterations in the gut microbiota (GM) and associated intestinal environment represented by fecal organic acids (OAs) require further elucidation. A rat allogeneic LT model was prepared without immunosuppressants or antibiotics, and a syngeneic model was used as a control. Qualitative and quantitative analyses of fecal samples at fixed time points were performed. Correlation analyses were also performed between liver function and GMs and OA levels. In the allogeneic TCMR group, the number of predominant obligate anaerobes decreased as liver function declined. Clostridioides difficile, Enterobacteriaceae, Enterococcus, Streptococcus, and Staphylococcus were significantly increased. Regarding fecal OA concentration, short-chain fatty acid (SCFA) concentrations were depleted as liver function declined. In contrast, in the syngeneic group, GM and OAs exhibited only slight, transient, and reversible disturbances. In addition, alanine aminotransferase and total bilirubin were positively correlated with the number of Enterobacteriaceae and Enterococcus, and negatively correlated with the fecal concentration of SCFAs. The allogeneic TCMR model demonstrated distinct dysbiosis and depletion of fecal OAs as TCMR progressed after LT. The degree of graft injury was closely related to the number of specific bacterial strains and the concentrations of fecal SCFAs.

216.9: Urinary Extracellular Vesicle DNA Cargo Reflects Kidney Allograft Injury

Introduction: Following allograft injury, donor-derived cell-free DNA (dd-cfDNA) levels increase. Numerous research studies have demonstrated increased dd-cfDNA levels in blood and urine as biomarkers of kidney allograft injury in patients with transplanted kidney. Extracellular vesicles (EVs) are nanosized particles released by almost all cells. Because of the anatomical proximity of kidney EV-producing cells and urine, (dd)DNA containing urinary EVs (uEVs) are potentially relevant biomarkers of allograft injury. The aim of our study was to explore uEVs and their DNA cargo, to reveal their association with allograft injury and finally to compare their biomarker potential with (dd)cfDNA found directly in the urine of patients with transplanted kidney. Method: We collected a second morning urine sample from 40 patients before surveillance or for-cause biopsy. We also collected blood and biopsy samples for donor-recipient genotyping. Considering histological analysis, we divided patients into normal histology, rejection injury (combination of antibody- (ABMR) and T-cell mediated rejection (TCMR)), and non-rejection injury group. First, we isolated uEVs (using protocol based on size-exclusion chromatography), their DNA cargo (uEV-DNA), and cfDNA from urine. We used nanoparticle tracking analysis to determine the concentration and size of uEVs. For DNA parameter analysis, including yield, copy number, integrity index, and donor-derived fraction, we used fluorometry and digital droplet PCR. We applied DNase assay and electron microscopy (TEM) immunogold labelling technique to investigate whether DNA was present inside or outside the uEVs. Results: The median uEV concentration was 8.47x1010/ mmol U-creatinine. The concentration was similar in all patient groups, whereas the size parameter differed significantly, as patients with rejection and non-rejection injury had significantly larger uEVs compared with patients with normal histology (177.5 nm and 174.1 nm vs. 160.7 nm, respectively; P=0.045). DNA co-isolated with uEVs and in several parameters correlated with urinary cfDNA. uEV-DNA and cfDNA yields (Figure 1A) and DNA copy number (Figure 1B) were significantly higher in both allograft injury groups. For uEV-DNA, the copy number of donor-derived DNA was significantly higher in patients with ABMR than in patients with TCMR (3044.3 vs. 680.9 copies, respectively; P=0.036). Regarding the long/short gene amplicon ratio, uEV-DNA (green) was less fragmented compared with cfDNA (yellow; Figure 1C). The TEM DNA labelling showed that the DNA was bound to the EV surface. uEV-DNA characteristics correlated with interstitial inflammation, inflammation in areas of fibrosis, and combination of glomerulitis and peritubular capillaritis Banff scores. Conclusion: In kidney transplant recipients, DNA bound to the surface of uEVs reflects allograft injury, particularly allograft rejection and is therefore a suitable potential biomarker for kidney allograft injury.Slovenian Research Agency Grants P3-0323, P1-0170, P4-0165, P4-0407.

P8.054: Out of the Box. Immunosuppressive Therapy With Four Drugs As Rescue Therapy in Kidney Transplant Recipients With Chronic Allograft Rejection

Introduction: Persistent or repeated episodes of acute rejection (AR) may lead to chronic allograft damage. Antibody-mediated rejection (AMR); T-cell mediated rejection (TCMR) and mixed variants (MR) of chronic kidney allograft rejection (CR) are nowadays considered as the main causes of graft loss (GL). This encompasses from endothelial damage up to fibrosis challenging immunosuppressive therapy (IT) management. IT reinforcement with a four-drug scheme (4D) including m-TOR inhibitors, anticalcineurinics, mycophenolate and steroids, could be a good strategy in this scenario, nevertheless there is no consensus about it. We present our experience with 4D in kidney transplant recipients (KT) That presented with CR or recurrent episodes of AR. Objectives: To evaluate kidney graft function (KGF), incidence of rejection and safety of a 4D in KT with CR or recurrent episodes of AR. Methods: KT on treatment with 4D from 2008 to 2021 were included. KGF was evaluated by estimated glomerular filtration rate with CKD-EPI (eGFR) and urinary protein/creatinine ratio (PCR) at 3, 6 and 12 months. Kidney biopsies and panel reactive antibodies (PRA) by Luminex were performed before and after introduction of 4D. BK virus (BKV) incidence, infectious (IE) and neoplastic (NE) events were recorded during the follow up. Results: 16 KT (median age 45 ± 11 years) were treated with 4D during 52.8 (17-106) months. 43.8% of them were women, 50% were deceased KT. The median post transplant time was 108 (60-129) months. Reasons for 4D introduction were CR in 87.4% of the cases (MR 50%; TCMR 31.3%; AMR 6.3%) and in the remaining 12, 6%, recurrent or persistent acute TCMR. Median eGFR was 42 (27-66); 44 (31-62); 48 (33-60) and 48 (32-65) ml/min prior to IT change, at 3, 6 and 12 months respectively. At baseline, mean PCR was 179 (147-664) mg/g without significant changes during follow up. Biopsy proven AR was found in 37% of KT under 4D. No NE were registered. 43% of the patients presented a non major IE, and only one patient was BKV positive during follow up with 4D. There was one GL, one loss of follow up and one death due to sepsis with functioning graft. Conclusions: KT patients with CR or recurrent episodes of AR changed to 4D IT stabilized their renal function and proteinuria. The incidence of new biopsy proven AR was 37%, and no new DSA were found or serious adverse events reported during follow-up. 4D could be a good option to halt the progression of renal damage due to rejection in KT.