Publications by authors named "Tinel C"

Background: It remains unclear whether physicians should accept transplantation offers for candidates with a positive SARS-CoV-2 reverse transcription polymerase chain reaction test due to the potential risk of severe infection after initiating immunosuppressive therapy.

Methods: A multicenter observational study was conducted in 19 French solid organ transplantation units. Patients on the waiting list for liver or kidney transplants who had a positive SARS-CoV-2 reverse transcription polymerase chain reaction nasopharyngeal swab at the time of transplantation were recorded.

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Unlabelled: Intestinal microsporidiosis caused by is an opportunistic infection that especially affects solid organ transplant (SOT) recipients. Management revolves around tapering the immunosuppressive regimen and/or using a specific anti-microsporidia treatment, but only fumagillin has demonstrated efficacy for treatment of this infection. Since fumagillin has been commercially discontinued, nitazoxanide is increasingly being used in this indication.

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Article Synopsis
  • Kidney structural cells actively participate in the rejection process of kidney transplants, alongside infiltrated immune cells, as shown through single-cell RNA sequencing of biopsies.
  • Upregulation of immune-related genes was observed in endothelial and epithelial cells, indicating their involvement in the alloimmune response, with distinct differences based on the kidney compartment.
  • A significant downregulation of energy metabolism in proximal tubular cells during inflammation correlates with reduced kidney function, emphasizing the graft's crucial role in driving and maintaining rejection after transplantation.
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  • Doctors can now use special molecules in urine called CXCL9 and CXCL10 to check how well kidney transplants are doing and if there's a risk of rejection.
  • A new test for measuring these molecules is fast and easy to use, giving results in just 90 minutes.
  • This test is super accurate and could help doctors make better decisions about patient care in kidney transplants.
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Antibody-mediated rejection (ABMR) remains one of the main causes of long-term graft failure after kidney transplantation, despite the development of powerful immunosuppressive therapy. A detailed understanding of the complex interaction between recipient-derived immune cells and the allograft is therefore essential. Until recently, ABMR mechanisms were thought to be solely caused by adaptive immunity, namely, by anti-human leucocyte antigen (HLA) donor-specific antibody.

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Introduction: Coronavirus disease 2019 (COVID-19) poses an important risk of morbidity and of mortality, in patients after solid organ transplantation. Recommendations have been issued by various transplantation societies at the national and European level to manage the immunosuppressive (IS) regimen upon admission to intensive care unit (ICU).

Method: The aim of this study was to evaluate the adequacy of IS regimen minimization strategy in kidney transplant recipients hospitalized in an ICU for severe COVID-19, in relation to the issued recommendations.

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Key Points: The estimated composition of immune cells in kidney transplants correlates poorly with the primary rejection categories defined by Banff criteria. Spatial cell distribution could be coupled with a detailed cellular composition to assess causal triggers for allorecognition. Intragraft CD8temra cells showed strong and consistent association with graft failure, regardless of the Banff rejection phenotypes.

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Background: The Banff Classification may not adequately address protocol transplant biopsies categorized as normal in patients experiencing unexplained graft function deterioration. This study seeks to employ convolutional neural networks to automate the segmentation of glomerular cells and capillaries and assess their correlation with transplant function.

Methods: A total of 215 patients were categorized into three groups.

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pneumonia (PcP) remains life-threatening in kidney transplant recipients (KTR). Our study investigated risk factors one-year before PcP. We conducted a monocentric, case-control study including all KTR at the Dijon University Hospital (France) with a diagnosis of PcP between 2005 and 2022 (cases), and matched control KTR with no history of PcP (3 controls/case).

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To address the need for improved biomarkers for kidney transplant rejection, European Society of Organ Transplantation (ESOT) convened a dedicated working group comprised of experts in kidney transplant biomarkers to review literature pertaining to clinical and subclinical acute rejection to develop guidelines in the screening and diagnosis of acute rejection that were subsequently discussed and voted on during the Consensus Conference that took place in person in Prague. The findings and recommendations of the Working Group on Molecular Biomarkers of Kidney Transplant Rejection are presented in this article.

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Rationale & Objective: Prior studies have demonstrated the diagnostic potential of urinary chemokines C-X-C motif ligand 9 (CXCL9) and CXCL10 for kidney transplant rejection. However, their benefit in addition to clinical information has not been demonstrated. We evaluated the diagnostic performance for detecting acute rejection of urinary CXCL9 and CXCL10 when integrated with clinical information.

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Systematic screening for BKPyV-DNAemia has been advocated to aid prevention and treatment of polyomavirus associated nephropathy (PyVAN), an important cause of kidney graft failure. The added value of performing a biopsy at time of BKPyV-DNAemia, to distinguish presumptive PyVAN (negative SV40 immunohistochemistry) and proven PyVAN (positive SV40) has not been established. Therefore, we studied an unselected cohort of 950 transplantations, performed between 2008-2017.

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The primary objective was to evaluate the clinical success rate after endovascular embolization of iatrogenic vascular lesions caused during partial nephrectomy. The secondary objective was to evaluate the technical success and to assess potential effects on renal function. We retrospectively included consecutive patients from our center who underwent selective embolization to treat iatrogenic renal arterial lesions induced during partial nephrectomy between June 2010 and June 2020.

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Rejection remains the main cause of premature graft loss after kidney transplantation, despite the use of potent immunosuppression. This highlights the need to better understand the composition and the cell-to-cell interactions of the alloreactive inflammatory infiltrate. Here, we performed droplet-based single-cell RNA sequencing of 35,152 transcriptomes from 16 kidney transplant biopsies with varying phenotypes and severities of rejection and without rejection, and identified cell-type specific gene expression signatures for deconvolution of bulk tissue.

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Background: Interstitial inflammation and peritubular capillaritis are observed in many diseases on native and transplant kidney biopsies. A precise and automated evaluation of these histological criteria could help stratify patients' kidney prognoses and facilitate therapeutic management.

Methods: We used a convolutional neural network to evaluate those criteria on kidney biopsies.

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Article Synopsis
  • The study focuses on using a neural network to enhance the MEST-C classification method for diagnosing immunoglobulin A nephropathy (IgAN), which currently has variability in results between different pathologists.
  • A dataset of biopsies was divided into training, testing, and application groups to train the neural network and evaluate its accuracy compared to human assessments.
  • Results showed that the neural network could correctly classify over 73% of biopsy pixels and had substantial agreement with pathologists for most scores, highlighting its potential for reliable, automated analysis in clinical settings.
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Background: Increasing evidence suggest that microRNAs are involved in the physiopathology of acute or chronic renal disease. In kidney transplantation, as key regulators of cellular homeostasis, microRNAs may be involved in the regulation of immune cell function and the allograft response. Here, we investigated the change in circulating microRNA expression profile and their involvement in the profound transcriptional changes associated with antibody-mediated rejection (AMR).

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MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression by degrading or repressing the translation of their target messenger RNAs. As miRNAs are critical regulators of cellular homeostasis, their dysregulation is a crucial component of cell and organ injury. A substantial body of evidence indicates that miRNAs are involved in the pathophysiology of acute kidney injury (AKI), chronic kidney disease and allograft damage.

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Leukocyte immunoglobulin-like receptors (LILRs) are a family of inhibitory or stimulatory receptors expressed by immune cell types belonging to both myeloid and lymphoid lineage. Several members of the LILR family recognize major histocompatibility complex class I and thus play important roles in a range of clinical situations including pregnancy. Moreover, paired immunoglobulin-like receptors (PIRs), the murine orthologs of LILRs, are implicated in experimental transplant allorecognition by monocytes and contribute to the induction of donor-specific monocyte-memory.

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Rationale & Objective: The relationship between human leukocyte antigen (HLA) molecular mismatches and T-cell-mediated rejection (TCMR) is unknown. We investigated the associations between the different donor HLA-derived T-cell targets and the occurrence of TCMR and borderline histologic changes suggestive of TCMR after kidney transplantation.

Study Design: Retrospective cohort study.

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Kidney transplant injury processes are associated with molecular changes in kidney tissue, primarily related to immune cell activation and infiltration. How these processes are reflected in the circulating immune cells, whose activation is targeted by strong immunosuppressants, is poorly understood. To study this, we analyzed the molecular alterations in 384 peripheral blood samples from four European transplant centers, taken at the time of a kidney allograft biopsy, selected for their phenotype, using RNA-sequencing.

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Article Synopsis
  • Recently developed human monocyte-derived suppressor cells (HuMoSC), specifically CD33+ subpopulation, show potential in reducing graft-versus-host disease (GvHD) severity in mice.
  • Researchers found that the supernatant from CD14+HuMoSC significantly inhibits T cell proliferation and cytotoxicity, effectively reducing GvHD in NSG mice.
  • The CD14+HuMoSC supernatant can be produced with good manufacturing practices and may serve as a complementary treatment alongside existing immunosuppressive drugs for GvHD prevention.
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Despite the critical role of cytokines in allograft rejection, the relation of peripheral blood cytokine profiles to clinical kidney transplant rejection has not been fully elucidated. We assessed 28 cytokines through multiplex assay in 293 blood samples from kidney transplant recipients at time of graft dysfunction. Unsupervised hierarchical clustering identified a subset of patients with increased pro-inflammatory cytokine levels.

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Background: After kidney transplantation, donor-specific antibodies against human leukocyte antigen donor-specific antibodies (HLA-DSAs) drive antibody-mediated rejection (ABMR) and are associated with poor transplant outcomes. However, ABMR histology (ABMRh) is increasingly reported in kidney transplant recipients (KTRs) without HLA-DSAs, highlighting the emerging role of non-HLA antibodies (Abs).

Methods: W e designed a non-HLA Ab detection immunoassay (NHADIA) using HLA class I and II-deficient glomerular endothelial cells (CiGEnCHLA) that had been previously generated through CRISPR/Cas9-induced and gene disruption.

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Importance: Like other clinical biomarkers, trajectories of estimated glomerular filtration rate (eGFR) after kidney transplant are characterized by intra-individual variability. These fluctuations hamper the distinction between alarming graft functional deterioration or harmless fluctuation within the patient-specific expected reference range of eGFR.

Objective: To determine whether a deep learning model could accurately predict the patient-specific expected reference range of eGFR after kidney transplant.

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