Abstract Background: Fibrillary glomerulonephritis (FGN) is a rare immune-mediated glomerular disease characterized by glomerular fibrillar deposits and historically associated with poor kidney outcomes. Despite recent diagnostic advances, including DNAJB9 immunohistochemistry, the clinical spectrum, prognostic factors, and optimal management of FGN remain incompletely defined. Methods: We conducted a retrospective cohort study of patients with biopsy-proven FGN identified through the Cleveland Clinic Kidney Biopsy Epidemiology Project between January 2015 and March 2023. Results: Thirty patients met inclusion criteria. The cohort was predominantly female (70%) and white (86%), with a median age of 64 years. At the time of kidney biopsy, all patients had hypertension and acute or chronic kidney disease. Additional features included hematuria (76%), proteinuria (60%), and nephrotic syndrome (48%). Monoclonal protein was detected in 20% of cases. During a mean follow-up of 24 months (range 0–70 months; n = 13), 23% achieved partial remission, 23% had persistent disease, and 53% progressed to end-stage kidney disease (ESKD). Higher serum creatinine at biopsy was the only variable associated with progression to ESKD. Conclusion: FGN remains a rare glomerular disease with substantial risk of progression to kidney failure. This single-center cohort highlights the heterogeneous clinical presentation and generally poor kidney outcomes of FGN in the modern diagnostic era. Larger, multicenter studies are needed to refine prognostic stratification and guide evidence-based management strategies.
GLUT9b- and ABCG2-mediated collecting duct urate transport uncovers a vasopressin-independent mechanism of renal water reabsorption
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.
Clinical applications of artificial intelligence in autosomal dominant polycystic kidney disease
ABSTRACT Autosomal dominant polycystic kidney disease (ADPKD) is the most common genetic kidney disorder leading to kidney failure. Recent advancements in artificial intelligence (AI) are transforming the diagnosis, risk stratification, management and prognostication in ADPKD by enabling more accurate assessments and individualized care. AI-powered imaging tools enhance the measurement of total kidney volume (TKV), improving the precision and efficiency of monitoring disease progression and more reliable assessment of therapeutic response. Machine learning algorithms can integrate genetic, imaging and clinical data to predict kidney function decline, facilitating personalized treatment strategies. In addition, AI is being used to identify genetic variants and to refine genotype–phenotype relationships, offering deeper insights into disease variability. AI-enabled monitoring technologies can support longitudinal tracking of TKV measurements obtained through magnetic resonance imaging or computed tomography, thereby improving clinical decision-making and management. Furthermore, AI can optimize clinical trial design by improving patient selection, prediction of treatment responses and safety monitoring. Despite these promising developments, integrating AI into the clinical practice remains controversial and may pose several challenges. This review highlights the emerging clinical applications of AI in ADPKD, emphasizing its potential to advance precision medicine and improve patient outcomes.
Sodium-Glucose Cotransporter 2 Inhibitors in Autosomal Dominant Polycystic Kidney Disease
Autosomal dominant polycystic kidney disease (ADPKD) is the most common inherited kidney disorder and a leading cause of kidney failure worldwide. Disease progression is driven by cyst expansion, tubular injury, and maladaptive metabolic and hemodynamic changes. Tolvaptan remains the only US Food and Drug Administration–approved disease-modifying therapy, however its tolerability and safety profile highlight the need for additional strategies. Sodium-glucose cotransporter 2 inhibitors (SGLT2is), initially developed for glycemic control, have demonstrated robust kidney-protective and cardioprotective effects across diverse patient populations, including those without diabetes. By lowering intraglomerular pressure, metabolic reprogramming, and attenuating hypoxic microenvironment and inflammation, SGLT2is target mechanisms that are relevant to ADPKD. However, concerns that SGLT2i may provoke osmotic diuresis and activate vasopressin led to systematic exclusion of patients with ADPKD from pivotal outcome trials. The 2025 Kidney Disease Improving Global Outcomes ADPKD guidelines explicitly advise against the use of SGLT2i for slowing kidney function decline in ADPKD. In this review, we examine mechanistic intersections between SGLT2i and ADPKD pathophysiology, summarize available preclinical and early clinical data, and discuss ongoing large trials designed to address safety and efficacy of SGLT2i in patients with ADPKD. We also highlight the importance of genetic heterogeneity, as most ongoing trials are enriched for rapid progressors carrying PKD1 or PKD2 pathogenic variants, while other genotypes such as DNAJB11 , ALG8 , and ALG9 , often associated with greater interstitial fibrosis, are underrepresented. Substratification of patients by genotype, risk of progression, and comorbidities will be essential to guide precision application of SGLT2i. Whether SGLT2i can ultimately be positioned as an adjunctive or standalone therapy for ADPKD remains unresolved.
Kidney stones and autosomal dominant polycystic kidney disease: a state-of-the-art review
Key Points BeWell360-PKD shows that integrating certified health and wellness coaches and augmenting patients' personal capacity as part of autosomal dominant polycystic kidney disease care is feasible and acceptable. Embedding BeWell360 coaches reduced care burden, improved caregiver self-efficacy, and enhanced care engagement by patients with autosomal dominant polycystic kidney disease and by their informal caregivers. This aligns with evolving care standards and guidelines promoting sustainable healthy lifestyle changes through tailored, integrative behavior-change centered interventions. Background Autosomal dominant polycystic kidney disease (ADPKD) imposes substantial care burden on patients and their informal caregivers (CGs), often contributing to nonadherence and impaired quality of life. Existing care models insufficiently address the behavioral and psychosocial dimensions of this burden. To evaluate the feasibility and effect of BeWell360-PKD , a person-centered intervention integrating Health and Wellness Coaching and capacity-workload support into ADPKD care, on care burden, adherence, self-efficacy, activation, and resilience. Methods In this 6-month, single-arm, mixed-methods pilot study, seven patient-CG dyads were enrolled from tertiary care polycystic kidney disease clinic. Board-certified Health and Wellness Coachings delivered individualized coaching within routine nephrology care, emphasizing capacity-building, goal setting, and care enactment support. Primary outcomes included changes in treatment burden (treatment burden questionnaire, ADPKD impact scale) and CG burden (burden scale for family CGs short version). Secondary outcomes included patient activation and resilience and CG self-efficacy. Semistructured interviews explored participant experiences. Results Patients experienced reduced treatment burden (treatment burden questionnaire mean change −9.3) and modest, domain-specific improvements in physical and fatigue-related ADPKD symptom burden. CG self-efficacy improved (+2.4), while CG burden increased (+14.8), and patient activation declined (−6.6). Qualitative themes reflected disease burden, emotional adaptation, and the perceived value of coaching in promoting behavior change and relational support. Conclusions BeWell360-PKD was feasible to implement and demonstrated early signals of benefit in reducing patient burden and improving CG self-efficacy. Increased CG burden and declining activation highlight the complexity of dyadic adaptation in ADPKD and the need for larger, controlled studies to refine and tailor coaching interventions.
Multicenter Insights into Peritoneal Dialysis for Autosomal Dominant Polycystic Kidney Disease
Key Points This study demonstrates that peritoneal dialysis is a safe and feasible option for patients with autosomal dominant polycystic kidney disease, even with high cystic organ volumes. Larger organ volumes, including height-adjusted cumulative kidney and liver volume, were not associated with increased peritoneal dialysis–related complications. Background Autosomal dominant polycystic kidney disease (ADPKD) is the most prevalent genetic kidney disorder and the fourth leading cause of kidney failure. Peritoneal dialysis (PD), preferred for its home-based convenience and cost-effectiveness, is often underutilized in ADPKD because of concerns over enlarged kidneys and heightened risk of complications. Methods This retrospective cohort study used data from the Mayo Clinic Polycystic Kidney Disease Database to evaluate individuals with ADPKD undergoing PD. We analyzed demographics, clinical parameters, and PD-related parameters. Complications were correlated with kidney and liver volumes derived from pre-kidney failure imaging. Results A total of 155 individuals with ADPKD on PD were included, of whom 45.1% were male. The mean age at PD initiation was 54.3±12.8 years, and the mean body mass index was 28.0±7.0 kg/m 2 . The median duration of PD was 24.3 months (interquartile range [IQR], 10.7–43.1), with 21.9% transitioning to hemodialysis. The most common complications were abdominal hernias (30.3%) and peritonitis (23.9%), with a peritonitis rate of 0.11 episodes per patient-year. Imaging analyses performed on a subset of 50 patients showed a median height-adjusted total kidney liver volume of 2731.9 ml/m (IQR, 2102.5–3131.1) and a median height-adjusted total kidney volume of 1303.5 ml/m (IQR, 733.1–1829.4). Kaplan–Meier analysis demonstrated no differences in complications rates on the basis of height-adjusted total kidney liver volume or height-adjusted total kidney volume (above versus below median values) or body mass index categories. Multivariate Cox regression analysis revealed that higher height-adjusted cumulative organ volume was associated with a lower risk of PD-related complications (hazard ratio=0.56, P = 0.026). Conclusions PD is a safe and feasible treatment option for patients with ADPKD, with no increased risk of PD-related complications associated with larger height-adjusted cumulative organ volumes. Infectious complication rates in this cohort were within International Society of Peritoneal Dialysis guideline thresholds, further supporting the safety of PD in this population.
Pain Management in Autosomal Dominant Polycystic Kidney Disease
Autosomal dominant polycystic kidney disease (ADPKD) is the most common genetic kidney disorder. It is primarily caused by pathogenic variants in the PKD1 or PKD2 genes. This leads to the development of numerous kidney cysts, which can result in kidney enlargement and progression to kidney failure. Pain is a common symptom in ADPKD and can negatively affect quality of life (QOL). This pain is often due to the continuous growth of kidney and liver cysts or associated cystic complications. We present a case of a 29-year-old woman with ADPKD who experienced chronic, refractory right-sided flank pain that significantly affected her QOL. Her pain persisted despite taking daily multimodal analgesics and undergoing multiple invasive interventions. She had an unusual asymmetric disease with the right kidney accounting for only 24% of her kidney function. After exhausting all other pain control strategies, she underwent right nephrectomy and partial hepatectomy, which led to substantial improvement in pain and QOL. This review describes the causes, manifestations, and management strategies for abdominal and/or flank pain in ADPKD, including a practical stepwise algorithm to guide clinicians in managing pain and improve QOL of patients with ADPKD. Pain in ADPKD can either be acute or chronic and can lead to significant physical and psychologic distress. Effective pain management in ADPKD requires a multidisciplinary approach, incorporating both nonpharmacologic and pharmacologic interventions such as gabapentin or tolvaptan in select cases. Interventions considered in ADPKD pain control include cyst aspiration with sclerotherapy, celiac plexus blockade, spinal cord stimulation, renal denervation, or nephrectomy.