Autosomic dominant polycystic kidney disease and metformin: Old knowledge and new insights on retarding progression of chronic kidney disease

2021 ◽  
Author(s):  
Alessandro Casarella ◽  
Ramona Nicotera ◽  
Maria T. Zicarelli ◽  
Alessandra Urso ◽  
Pierangela Presta ◽  
...  
2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Prasad Devarajan ◽  
Geoffrey Block ◽  
Keisha Gibson ◽  
Jim McKay ◽  
Colin Meyer ◽  
...  

Abstract Background and Aims Knowledge about genetic causes of chronic kidney disease (CKD) is one of the key gaps in global kidney research and recent International Society of Nephrology recommendations encourage the adoption of genetic testing to enable a goal of providing precision medicine based on individual risk (1). A recent whole-exome sequencing study showed that genetic inheritance may be responsible for up to 10% of CKD diagnoses, many of which may be previously undiagnosed or mis-diagnosed (2). Continued advances in DNA sequencing technology have made genetic testing, even whole-exome sequencing, applicable to routine clinical diagnoses. In order to test the hypothesis that genetic testing can provide valuable information to increase the accuracy and precision of diagnosis in CKD, we designed a gene panel to prospectively provide genetic testing in a subset of patients with CKD defined by a specific set of inclusion criteria. Method Reata Pharmaceuticals is partnering with Invitae on a program called KidneyCode, which provides no-charge genetic testing to enable diagnosis of three specific rare monogenic causes of CKD: Alport syndrome (AS), autosomal dominant polycystic kidney disease (ADPKD) due to PKD2 mutations, and focal segmental glomerulosclerosis (FSGS), as well as detection of variants in one of the autosomal recessive polycystic kidney disease gene, PKHD1. Invitae’s renal disease panel includes 17 genes (ACTN4, ANLN, CD2AP, COL4A3, COL4A4, COL4A5, CRB2, HNF1A, INF2, LMX1B, MYO1E, NPHS1, NPHS2, PAX2, PKD2, PKHD1, and TRPC6), and its assay includes both full-gene sequencing and intragenic deletion/duplication analysis using next-generation sequencing (NGS). The assay targets the coding exons and flanking 10bp of intronic sequences. Invitae’s method of variant classification uses a systematic process for assessing evidence based on guidelines published by the American College of Medical Genetics (3). Patients in the US at risk for hereditary CKD (eGFR ≤ 90 mL/min/1.73m2 plus hematuria or a family history of CKD) or with a known diagnosis of AS or FSGS are eligible. Family members of those with suspected or known AS or FSGS are also eligible. All participants in the KidneyCode program have access to genetic counseling follow-up at no additional charge. Results In the first five months of the KidneyCode program, 152 genetic tests have been completed. A genetic variant was reported in 87 patients. Of those 87 patients, 67 patients had 75 variants in COL4A3, 4, or 5 genes (34 Pathogenic/Likely Pathogenic (P/LP), 41 Variants of Uncertain Significance (VUS)), 20 patients had 24 variants in genes associated with FSGS (3 P/LP, 21 VUS), 15 patients had 20 variants in PKHD1 (1 P/LP, 19 VUS), and 2 patients had variants in PKD2 (1 P/LP, 1 VUS). Of the 34 patients with Pathogenic or Likely Pathogenic COL4A variants, 19 reported a previous diagnosis of Alport syndrome. Other diagnoses in patients with COL4A mutations included FSGS, thin basement membrane disease, and familial hematuria. Extra-renal manifestations such as hearing loss and eye disease were reported in 7 of the 34 patients with COL4A variants. Conclusion Initial results with the KidneyCode panel demonstrate the utility of NGS and support the hypothesis that combining genetic testing with clinical presentation and medical history can significantly improve accuracy and precision of diagnosis in patients with hereditary CKD.


2018 ◽  
Vol 5 ◽  
pp. 205435811877453
Author(s):  
Sonali de Chickera ◽  
Ayub Akbari ◽  
Adeera Levin ◽  
Mila Tang ◽  
Pierre Brown ◽  
...  

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Xiaolei Zhou ◽  
Eric Davenport ◽  
John Ouyang ◽  
Molly Hoke ◽  
Diana Garbinsky ◽  
...  

Abstract Background and Aims Autosomal dominant polycystic kidney disease (ADPKD) is the most common hereditary kidney disease and the fourth-leading cause of kidney failure. Over the past two decades, various studies have been conducted to characterize the natural history of ADPKD and investigate impacts of potential treatments on disease progression. Previously, we created a pooled longitudinal database of unique subjects from nine studies to evaluate and analyze outcomes. The database was expanded to include data from two recent tolvaptan (TOL) trials (156-13-210 and 156-13-211). Here, we describe the baseline characteristics of the expanded pooled population. Method Data from 11 ADPKD studies (from 2001 to 2018, sponsored by Otsuka or National Institutes of Health) were combined and divided into two groups: TOL and standard of care (SOC). TOL consisted of trial subjects initiating treatment in one of seven trials (156-04-250, 156-04-251, 156-06-260, 156-09-284, 156-09-290, 156-08-271, and 156-13-210); SOC included subjects from placebo arms of two TOL randomized trials (156-04-251 and 156-09-290), all standard blood pressure control arms in the HALT-PKD trials, and subjects from two observational studies (156-10-291 and CRISP). Subjects in the placebo arm of study 156-13-210 received TOL for 5 weeks before randomization and were therefore included in the TOL group. Eligible subjects who completed an early TOL study continued TOL treatment in the extension study 156-08-271 and/or in a second extension study 156-13-211. Estimated glomerular filtration rate (eGFR) was calculated in all studies using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation. Total kidney volume (TKV) was measured by magnetic resonance imaging and available in all studies except 156-13-210, 156-13-211, and HALT-PKD study B. Results The pooled analysis included 7,117 eligible subjects (TOL: 2,928; SOC: 4,189) from the United States (47.5%) and other countries. The two cohorts had similar age (mean age, 43.6 vs. 44.1 years) and sex distribution (50.5% male vs. 45.2% male). The TOL group had more white subjects (90.5% vs. 80.7%) and fewer Hispanic subjects (4.0% vs. 12.6%), a lower baseline mean eGFR (60 vs. 70 mL/min/1.73 m2), more in chronic kidney disease (CKD) stage 3 or above (58.1% vs. 41.0%), and more frequent history of signs of rapid disease progression (e.g., nephrolithiasis, hematuria, urinary tract infection). Among 4,917 subjects with TKV assessments, mean baseline TKV was higher in the TOL group (1,817 mL) compared with SOC (1,627 mL). Conclusion In this large, longitudinal database of unique subjects with ADPKD, distinct differences exist in some baseline characteristics of the TOL and SOC groups. Compared with the previous database, the expanded database doubled the size of the TOL group and included more subjects who were older and with advanced chronic kidney disease stage. This database provides a diverse ADPKD population to assess outcomes.


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