Torres, Vicente E.

Renal water reabsorption is classically regulated by vasopressin V2 receptor (V2R) signaling through cyclic AMP and protein kinase A, driving apical accumulation of aquaporin-2 (AQP2). However, collecting duct water handling is also modulated by vasopressin-independent mechanisms. Here, we examined intracellular soluble urate as a vasopressin-independent regulator of AQP2 trafficking. Intracellular urate accumulation in collecting duct cells was mediated by enhanced apical urate uptake via GLUT9b and reduced apical urate efflux through ABCG2, triggering phosphodiesterase-4 activation, reduced cAMP, and downstream AMP-activated protein kinase (AMPK) activation. The resulting AQP2 accumulation at the apical membrane was independent of V2R signaling, required ongoing endocytosis, and was associated with features of postendocytic apical trafficking of internalized AQP2. In vivo ABCG2 inhibition with probenecid increased apical AQP2 abundance and markedly attenuated tolvaptan-induced polyuria in both wild-type and Pkd1 RC/RC autosomal dominant polycystic kidney disease (ADPKD) mice in a uricase-independent manner while preserving tolvaptan’s ADPKD-modifying efficacy. In a phase II trial with tolvaptan-treated patients with ADPKD, probenecid reduced urine volume and nocturia frequency. Together, these findings support a vasopressin-independent urate/AMPK/AQP2 pathway that regulates renal water handling and, in a preclinical ADPKD model, can uncouple cyst growth attenuation from the dose-limiting aquaretic effects of V2R antagonism.

Abstract: Autosomal dominant polycystic kidney disease (ADPKD) is a common, inherited disorder characterized by the progressive enlargement of fluid-filled cysts in the kidneys and liver. Since the cystic fibrosis transmembrane conductance regulator (CFTR) Cl– channel may mediate the secretion of Cl– and fluid into the cysts, it is conceivable that coexisting cystic fibrosis (CF) in patients with ADPKD could attenuate their development. We previously reported that two patients with ADPKD coexisting with cystic fibrosis (CF) had a milder cystic phenotype than that of kindred without CFTR mutations. A subsequent report failed to confirm this protective effect. We now have identified another family with coexisting type 1 ADPKD and CF. The kidney volumes and the number and size of renal and hepatic cysts were markedly less in a member of this family with ADPKD (PKD1 mutation C508R) and CF (homozygous ΔF508 mutation) than in her sister with ADPKD alone at comparable ages.

Key Points Data were collected from a cohort of 759 patients with autosomal dominant polycystic kidney disease that were followed for a median of 10.2 years. Prognostic models were developed to predict kidney failure using routinely obtained clinical information and externally validated. Risk predictions had good discrimination and calibration over a time horizon of 15 years. Background Autosomal dominant polycystic kidney disease (ADPKD) is a common cause of kidney failure. Progression is highly variable, and accurate prognostic information is needed to guide early treatment decisions. The objective of this study was to develop a multivariable predictive model for progression to kidney failure. Methods We developed prognostic models using Cox regression for the outcome of kidney failure, defined as eGFR <15 ml/min per 1.73 m 2 , dialysis, or kidney transplantation. The development dataset consisted of participants in the Consortium for Radiologic Imaging Studies of Polycystic Kidney Disease (CRISP) and Halt Progression of Polycystic Kidney Disease study A (HALT-A) studies. The validation dataset consisted of patients with ADPKD in the Mayo clinical registry aged 15–49 years, with eGFR ≥60 ml/min per 1.73 m 2 . Predictor variables in the base model were age, sex, creatinine or eGFR, ADPKD genotype, and Mayo Imaging Class. Clinical and laboratory data were evaluated in the full model. Results The development cohort included 759 patients with baseline eGFR of 91±29 ml/min per 1.73 m 2 (mean±SD), of whom 16% reached end point after median (interquartile range) follow-up of 10.2 (5.5–16.7) years. The validation cohort included 535 patients with baseline eGFR of 90±31 ml/min per 1.73 m 2 (mean±SD), of whom 11% reached end point after median (interquartile range) follow-up of 5.5 (1.5–13.7) years. The full model, including age, sex, serum creatinine, Mayo Imaging Class, total carbon dioxide, hemoglobin, diastolic BP, and body mass index, had a C-index of 0.81 (95% confidence interval, 0.72 to 0.90) in the validation cohort and 0.75 (95% confidence interval, 0.62 to 0.88) when ADPKD genotype was also included. Risk predictions from base and full models were well-calibrated out to 15 years. Conclusions In persons with early ADPKD and preserved eGFR, a model using routinely obtained clinical information quantified risk of kidney failure over 15 years.

Key Points Automated cyst segmentation in autosomal dominant polycystic kidney disease could transform care by enabling precise monitoring of cyst progression with minimal manual effort. This technology can facilitate more consistent assessments of cyst burden across patients. Translating these segmentation models from magnetic resonance imaging to computed tomography is crucial for providing comprehensive, modality-independent evaluations. Background Total kidney and liver volumes are key image-based biomarkers to predict the severity of kidney and liver phenotype in autosomal dominant polycystic kidney disease (ADPKD). However, magnetic resonance (MR) imaging-based advanced biomarkers like total cyst number and cyst parenchyma surface area have been shown to more accurately assess cyst burden and improve the prediction of disease progression. The main aim of this study was to extend the calculation of advanced biomarkers to other imaging modalities; thus, we propose a fully automated model to segment kidney and liver cysts in computed tomography (CT) images. Methods Abdominal CTs of patients with ADPKD were gathered retrospectively between 2001 and 2018. A three-dimensional deep learning method using the nnU-Net architecture was trained to learn cyst edges-cores and the noncystic kidney/liver parenchyma. Separate segmentation models were trained for kidney cysts in contrast-enhanced CTs and liver cysts in noncontrast CTs using an active learning approach. Two experienced research fellows manually generated the reference standard segmentation, which were reviewed by an expert radiologist for accuracy. Results Two-hundred CT scans from 148 patients (mean age, 51.2±14.1 years; 48% male) were used for model training (80%) and testing (20%). In the test set, both models showed good agreement with the reference standard segmentations, similar to the agreement between two independent human readers (model versus reader: TCN kidney/liver r =0.96/0.97 and CPSA kidney r =0.98, inter-reader: TCN kidney/liver r =0.96/0.98 and CPSA kidney r =0.99). Conclusions Our study demonstrates that automated models can segment kidney and liver cysts accurately in CT scans of patients with ADPKD.

ABSTRACT Background This medical center migrated from alcohol to sotradecol foam sclerotherapy (SFS) because of perceived improved efficacy in managing symptomatic kidney and liver cysts. We report technical aspects, change in short- and long-term cyst volumes, patient-reported outcomes, safety and applications of the technique. Methods In this retrospective observational study, cases from January 2017 to December 2021 had TKCV/TLCV (per Targeted Kidney or Liver or Cyst analysis) segmented using a deep-learning algorithm and cyst segmentation software (pre-, post-procedure and longitudinally). TKCV/TLCV % change were evaluated using the one-sample Wilcoxon signed rank test. For analyses involving changes in cyst volumes, the median % change in cyst volume per patient was assessed. Longitudinal changes in cyst volumes were assessed using linear mixed models. Changes in quality of life (QOL) [Linear Analog Self-Assessment (LASA), Polycystic Liver Disease Quality of life Questionnaire (PLD-Q) and 12-item short-form (SF12)] were also assessed. Results There were 102 SFS sessions (38 kidney, 58 liver, 6 combined liver/kidney cysts) performed on 77 unique individuals included for analysis. Median [interquartile range (IQR)] % reductions in TKCV were –92.0% (IQR –98.2%, –82.7%, P &lt; .001) and for TLCV were –83.1% (IQR –93.5%, –52.9%, P &lt; .001). Among patients with multiple kidney procedures (n = 7), median % reduction in TKCV was –94.3% (IQR –96.6%, –92.4%, P = .023). For patients with multiple liver procedures (n = 11), median % reduction in TLCV was –63.3% (IQR –85.2%, –28.3%, P = .004). Results were similar among the four patients undergoing multi-stage procedures (n = 1 kidney, n = 3 liver). When measured longitudinally, both liver and kidney cyst volumes declined to levels near 0 mL by 1 year follow-up and remained stable several years later. LASA physical domain and PLD-Q QOL scores improved post-SFS procedure. Conclusion SFS led to substantial long-term reductions in TKCV/TLCV and improved QOL. SFS can augment cyst volume reduction in addition to tolvaptan (kidney cysts) and octreotide (liver cysts). In some individuals with large symptomatic cysts, multiple SFS procedures were safe and effective in reducing TLCV/TKCV and improving symptoms.

Tuberous sclerosis complex (TSC) is a highly variable autosomal dominant disease characterized by dysregulated organ development and growth. Benign tumors, termed hamartomas, may occur across organ systems but typically involve the kidney, brain, skin, heart, and lung. The diagnosis, surveillance, and clinical management of TSC requires a multidisciplinary approach, adopted by dedicated multispecialty centers worldwide. Nephrology involvement predominantly stems from the morbidity and mortality related to the prototypical kidney lesion, angiomyolipomas, whose presence and degree confers risk of CKD, hypertension, retroperitoneal bleeding, and possibly renal cell carcinoma. Surveillance of kidney structural lesions, kidney function, and BP may enable early interventions that limit kidney-related morbidity and mortality, such as mammalian target of rapamycin inhibitor therapy. We review the epidemiology, genetics, and pathogenesis of TSC and how these inform the evaluation, diagnosis, and clinical management of TSC from the vantage point of the treating nephrologist.

Abstract A variety of genetic diseases of the kidney tubule are amenable to correction via gene therapy. However, gene delivery to renal tubule epithelial cells mediated by viral vectors via the blood is inefficient due to the permselectivity of the glomerular barrier. We hypothesized that effacement of podocyte foot processes would disrupt typical glomerular limitations on filtration and make renal tubule epithelial cells susceptible to transduction from viral vectors delivered intravenously. We determined that adeno-associated virus serotype 8 (AAV8) transduced significantly more epithelial cells in the kidney under the conditions of LPS-induced proteinuria. Use of AAV1 in tandem with LPS-induced proteinuria yielded an ideal two-pronged effect of both partially detargeting the liver and transducing the kidney with a higher bioluminescent signal than AAV8 did, and at half of the dose. Using adenovirus serotype 5 (Ad5) in conjunction with LPS-induced proteinuria showed that kidney transduction was enhanced, but only in glomerular cells. These studies mechanistically test the efficacy of different viral vectors and demonstrate their capacity to transduce kidney epithelial cells. This is a fundamental step in designing future treatments for kidney gene therapy. Significance Statement The slit diaphragms in the glomerulus of the kidney are too narrow to allow most solute from the blood to enter the nephron. As a result, large particles such as viral vectors generally cannot access tubule epithelial cells necessary to correct genetic disorders. In this study, mice are induced into a state of proteinuria and subsequently administered viral vectors intravenously. This group of mice had higher levels of transduced kidney epithelial cells than the control (non-proteinuria) group. The induction of transient proteinuria before intravenous viral vector administration is a novel approach that could make tubulopathies treatable via gene therapy in both animal models and humans.

Currently, the vasopressin V2 receptor antagonist tolvaptan is the only approved treatment for autosomal dominant polycystic kidney disease (ADPKD). It has been suggested that vasopressin acting on V1a or V1b receptors may also affect its development. We show that a V1aR antagonist has no effect in an ADPKD mouse model (Pkd1RC/RC), whereas a V2R antagonist has a modest attenuating effect in female mice only. Neither potentiates or hinders the beneficial effect of tolvaptan when administered in combination with this drug.