Citations

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.

Key Points In an observational cohort of mostly non-Hispanic White women, pregnancy was not associated with later-life accelerated kidney function decline. Pregnancy occurring during the HALT Progression of Polycystic Kidney Disease (HALT-PKD) trial was not associated with kidney disease progression relative to women who did not become pregnant. Prior evidence indicates that adverse pregnancy outcomes may be involved in autosomal dominant polycystic kidney disease progression; pregnant women should be closely monitored. Background Data are conflicting regarding whether pregnancy influences disease progression in women with autosomal dominant polycystic kidney disease (ADPKD). This study examined whether pregnancy or number of pregnancies was associated with kidney disease progression in women with ADPKD. Methods Women with early- (study A) and late-stage (study B) ADPKD from the HALT Progression of Polycystic Kidney Disease (HALT-PKD) trial were included to examine the association between self-reported number of pregnancies (categorical predictor: no pregnancy versus 1–2 pregnancies and ≥3 pregnancies), annual slope of eGFR, annual percent change in total kidney volume (%ΔTKV), and a composite outcome (kidney failure, 50% decline in eGFR, or death) using multivariable linear regression and Cox proportional hazard models. In addition, women who became pregnant, had full-term pregnancies, and available data during study participation ( n =13) were propensity matched (1:4) to women who were not pregnant during study participation, and a mixed model was applied to determine the association of pregnancy with eGFR slope and %ΔTKV. Results Across all analyses, 455 women with a median age of 45 (interquartile range, 38–50) years and eGFR of 69±25 ml/min per 1.73 m 2 at baseline were included. One hundred ninety-nine women had 1–2 pregnancies, and 165 women had ≥3 pregnancies. There was no association of 1–2 pregnancies or ≥3 pregnancies (versus no pregnancies) with eGFR slope ( β -estimate [95% confidence interval (CI)]; 1–2 pregnancies: 0.22 [−0.44 to 0.89]; ≥3 pregnancies: −0.46 [−1.16 to 0.25]), %ΔTKV ( β -estimate [95% CI]; 1–2 pregnancies: 0.92 [−0.34 to 2.17]; ≥3 pregnancies: 0.69 [−0.67 to 2.04]), or time to composite outcome (hazard ratio [95% CI]; 1–2 pregnancies: 1.04 [0.56 to 1.93]; ≥3 pregnancies: 1.48 [0.78 to 2.77]) in adjusted models. Moreover, there was no difference in annual eGFR slope ( β -estimate: −0.14 [95% CI, −2.72 to 2.44]) and %ΔTKV ( β -estimate: 0.04 [95% CI, −3.74 to 3.82]) in women who became pregnant matched to women who did not became pregnant during their participation in the study. Conclusions Pregnancy was not associated with ADPKD progression among women with early- and late-stage ADPKD enrolled in the HALT-PKD trial.

ABSTRACT Background A decrease in renal blood flow (RBF) precedes estimated glomerular filtration rate (eGFR) decline among patients with autosomal dominant polycystic kidney disease (ADPKD) and inversely associates with disease severity and progression. However, it is unknown whether RBF independently predicts progression to kidney failure in patients with ADPKD. Methods A total of 379 participants with early-stage ADPKD (mean age 36.6 ± 8.5 years; eGFR: 92.9 ± 17.1 ml/min/1.73 m2) who participated in the Halt Progression of Polycystic Kidney Disease Study A (HALT PKD A; NCT00283686) with baseline RBF (phase contrast magnetic resonance imaging) data were included in the primary analysis. Kaplan–Meier survival analysis and multivariate Cox proportional hazard models were used to determine the association of baseline RBF as a continuous and categorical variable with kidney failure risk (during the HALT study and subsequently linked to the US Renal Data System) over a median follow-up period of 13.1 years (interquartile range 7.5–14.5) (primary outcome). All-cause mortality was also considered as a competing risk (Fine and Gray method). The associations of RBF with eGFR slope and the change in height-adjusted total kidney volume (∆htTKV) were evaluated with linear and logistic regression models. Results The kidney failure incidence rate was the highest among those with the lowest RBF tertile {1.90 [95% confidence interval (CI) 1.31–2.78] versus 0.34 [95% CI 0.14–0.83] events/100 person-years in tertile 3}. In the fully adjusted model, the lowest RBF tertile was associated with a higher risk of progression to kidney failure [hazard ratio (HR) 3.19 (95% CI 1.05–9.67] versus the highest tertile]. The association of RBF with kidney failure risk was slightly attenuated in adjusted models. All associations remained similar when considering death as a competing risk [HR 0.82 (95% CI 0.67–1.00) per 100 ml/min/1.73 m2 higher RBF]. Higher RBF was associated with a slower eGFR decline and lower odds of rapid annual ∆htTKV. Conclusions Lower baseline RBF independently associates with a greater risk of progression to kidney failure in early-stage patients with ADPKD.

Key Points In a cohort of children, 79% of families with kidney cysts had a monogenic diagnosis. Resolved cases were more likely to have a family history of kidney cysts and unresolved cases more often had unilateral cysts. Broad genetic testing revealed genetic diversity and informed prognosis and clinical management in childhood kidney cysts. Background Pediatric kidney cysts may indicate an underlying genetic disorder, yet the full spectrum of causes remains incompletely defined. With advances in genetic testing enabling broader evaluation, this study assessed the diagnostic utility of comprehensive genetic testing in a broad pediatric cohort with kidney cysts and characterized the underlying etiological diversity. Methods This observational cohort study included patients younger than 18 years enrolled between January 2020 and June 2024 at a single tertiary center. Genetic testing used targeted multigene or custom curated exome/genome sequencing panels, with segregation analysis when available. Eligible participants had at least two cysts without family history, one cyst with positive family history, or enlarged echogenic kidneys on prenatal ultrasound; those with congenital anomalies of the kidney and urinary tract associated with cysts were excluded. Clinical presentation was categorized as symptomatic, incidental, prenatal, or family screening. Primary outcomes were diagnostic yield and distribution of pathogenic variants. Results Among 109 patients (median age 7.6 years, 53% female), genetic testing identified a definitive diagnosis in 81 of 100 tested patients (81%) from 72 families (79%; 14 disorders). PKD1 variants were most common (45%), while PKD2 accounted for 7%. Other causes included HNF1B or 17q12 deletions (13%), minor autosomal dominant polycystic kidney disease genes (11%; GANAB, NEK8, IFT140 ), monoallelic PKHD1 (3%), and biallelic PKHD1 (8%), while syndromic ciliopathy genes accounted for 5%. A positive family history of cystic kidney disease was more common among patients with a genetic diagnosis (54% versus 11%; P = 0.008). Patients without an identified genetic diagnosis more often had unilateral cysts (26% versus 4%; P = 0.53). Diagnosis by clinical symptoms was the most genetically diverse category. Conclusions Comprehensive genetic testing in pediatric kidney cysts achieved high diagnostic yield in a selected cohort and identified diverse causes beyond major autosomal dominant polycystic kidney disease/autosomal recessive polycystic kidney disease genes, supporting early evaluation to improve diagnostic accuracy, inform prognosis, and guide management, even in the absence of family history.

Key Points In autosomal dominant polycystic kidney disease, there is a linear relationship between the log-transformed total kidney volume and eGFR. There is a predictable change in the rate of eGFR decline with reduction in kidney growth rate. This framework can be used to determine treatment effect to support accelerated approval of drugs for polycystic kidney disease. Background Total kidney volume (TKV) is accepted by the US Food and Drug Administration as a surrogate end point that is reasonably likely to predict clinical benefit in autosomal dominant polycystic kidney disease and the most commonly used response biomarker for proof-of-concept intervention trials. However, the magnitude of treatment effect on TKV that would be predictive of a meaningful improvement in a clinical outcome, such as eGFR, is unknown. Inference of this from observational studies has previously been approached by examining interindividual variance in the relationship between TKV and GFR slopes over time. Methods We developed a novel approach to modeling the intraindividual relationship between TKV and eGFR. Patients from the Consortium for Radiologic Imaging Studies of Polycystic Kidney Disease and Halt Progression of Polycystic Kidney Disease Study A dataset were stratified by Mayo Imaging Class (MIC). Linear mixed models were fitted to eGFR with a fixed effect of log(TKV) and random intercepts, and the average slope within each MIC was estimated. Results We found that within each MIC, there is a consistent, linear relationship between log(TKV) and eGFR. The model predicts that within classes 1C–1E, for each 1% point per year reduction in TKV growth rate, the rate of eGFR decline would be reduced by 0.40–0.52 ml/min per 1.73 m 2 per year. Conclusions We have developed a new model that provides a framework for defining the magnitude of treatment effect on TKV that would support accelerated approval of a drug for autosomal dominant polycystic kidney disease. Podcast This article contains a podcast at https://dts.podtrac.com/redirect.mp3/www.asn-online.org/media/podcast/CJASN/2026_05_18_CJASNMay.21.5.51820.mp3

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.