ABSTRACT
BACKGROUND: Epstein-Barr virus (EBV) is a herpesvirus linked to nine different human tumors and lymphoproliferative disorders. Immunosuppression promotes EBV-driven malignancies. The most frequent EBV-induced malignancies are lymphomas and nasopharyngeal carcinoma. By promoting smooth muscle proliferation, EBV can induce EBV-associated smooth muscle tumors (EBV-SMT). EBV-SMT is a rare oncological entity for which no current guideline for diagnosis or management exists. Data on posttransplant EBV-SMT (PT-SMT) are scarce in kidney transplant recipients. METHODS: We conducted a national multicentric retrospective study and collected cases among transplantation centers in France. Kidney transplant recipients experiencing histologically proven PT-SMT were included. We collected data on demographic characteristics of patient, history of kidney transplantation, history of PT-SMT, evolution of graft function, and patient survival. RESULTS: Eight patients were included. The median age at PT-SMT diagnosis was 31 years (range 6.5-40). PT-SMT occurred after a median delay of 37.8 months after transplantation (range 6-175). PT-SMT management consisted in immunosuppressive regimen minimization in all patients. Introduction of mTOR inhibitors was performed in two patients. Four patients (50%) needed chemotherapy. Surgical resection was performed in four patients. At last follow-up after PT-SMT diagnosis (median 33 months (range 17-132)), five patients were considered in complete remission, and two patients had died. Two patients experienced graft rejection; two resumed dialysis (25%). All patients with available data presented with impaired graft function at last follow-up. CONCLUSION: PT-SMT is a subacute and progressive disease during kidney transplantation. Even if the risk of developing PT-SMT is low in kidney transplant recipients (0.07% in our cohort), PT-SMT is associated with significant graft loss, possibly due to reduced immunosuppression. Developing guidelines could help transplantation teams better manage these patients.
Subject(s)
Epstein-Barr Virus Infections , Herpesvirus 4, Human , Kidney Transplantation , Postoperative Complications , Smooth Muscle Tumor , Humans , Kidney Transplantation/adverse effects , Retrospective Studies , Male , Female , Smooth Muscle Tumor/virology , Smooth Muscle Tumor/etiology , Smooth Muscle Tumor/pathology , Smooth Muscle Tumor/diagnosis , Adult , Follow-Up Studies , Epstein-Barr Virus Infections/complications , Epstein-Barr Virus Infections/virology , Herpesvirus 4, Human/isolation & purification , Prognosis , France/epidemiology , Adolescent , Young Adult , Child , Postoperative Complications/diagnosis , Graft Rejection/etiology , Kidney Failure, Chronic/surgery , Graft Survival , Risk Factors , Kidney Function Tests , Glomerular Filtration Rate , Survival RateABSTRACT
Long-chain acyl-CoA synthetase family 4 (ACSL4) metabolizes long-chain polyunsaturated fatty acids (PUFAs), enriching cell membranes with phospholipids susceptible to peroxidation and drive ferroptosis. The role of ACSL4 and ferroptosis upon endoplasmic-reticulum (ER)-stress-induced acute kidney injury (AKI) is unknown. We used lipidomic, molecular, and cellular biology approaches along with a mouse model of AKI induced by ER stress to investigate the role of ACSL4 regulation in membrane lipidome remodeling in the injured tubular epithelium. Tubular epithelial cells (TECs) activate ACSL4 in response to STAT3 signaling. In this context, TEC membrane lipidome is remodeled toward PUFA-enriched triglycerides instead of PUFA-bearing phospholipids. TECs expressing ACSL4 in this setting are not vulnerable to ferroptosis. Thus, ACSL4 activity in TECs is driven by STAT3 signaling, but ACSL4 alone is not enough to sensitize ferroptosis, highlighting the significance of the biological context associated with the study model.
ABSTRACT
Background: Health policy-making require careful assessment of chronic kidney disease (CKD) epidemiology to develop efficient and cost-effective care strategies. The aim of the present study was to use the RENALGO-EXPERT algorithm to estimate the global prevalence of CKD in France. Methods: An expert group developed the RENALGO-EXPERT algorithm based on healthcare consumption. This algorithm has been applied to the French National Health claims database (SNDS), where no biological test findings are available to estimate a national CKD prevalence for the years 2018-2021. The CONSTANCES cohort (+219 000 adults aged 18-69 with one CKD-EPI eGFR) was used to discuss the limit of using health claims data. Results: Between 2018 and 2021, the estimated prevalence in the SNDS increased from 8.1% to 10.5%. The RENALGO-EXPERT algorithm identified 4.5% of the volunteers in the CONSTANCES as CKD. The RENALGO-EXPERT algorithm had a positive predictive value of 6.2% and negative predictive value of 99.1% to detect an eGFR<60 ml/min/1.73 m². Half of 252 false positive cases (ALGO+, eGFR > 90) had been diagnosed with kidney disease during hospitalization, and the other half based on healthcare consumption suggestive of a 'high-risk' profile; 95% of the 1661 false negatives (ALGO-, eGFR < 60) had an eGFR between 45 and 60 ml/min, half had medication and two-thirds had biological exams possibly linked to CKD. Half of them had a hospital stay during the period but none had a diagnosis of kidney disease. Conclusions: Our result is in accordance with other estimations of CKD prevalence in the general population. Analysis of diverging cases (FP and FN) suggests using health claims data have inherent limitations. Such an algorithm can identify patients whose care pathway is close to the usual and specific CKD pathways. It does not identify patients who have not been diagnosed or whose care is inappropriate or at early stage with stable GFR.