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Ahn Y, Park JH. Novel Potential Therapeutic Targets in Autosomal Dominant Polycystic Kidney Disease from the Perspective of Cell Polarity and Fibrosis. Biomol Ther (Seoul) 2024; 32:291-300. [PMID: 38589290 PMCID: PMC11063481 DOI: 10.4062/biomolther.2023.207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 12/18/2023] [Accepted: 12/26/2023] [Indexed: 04/10/2024] Open
Abstract
Autosomal dominant polycystic kidney disease (ADPKD), a congenital genetic disorder, is a notable contributor to the prevalence of chronic kidney disease worldwide. Despite the absence of a complete cure, ongoing research aims for early diagnosis and treatment. Although agents such as tolvaptan and mTOR inhibitors have been utilized, their effectiveness in managing the disease during its initial phase has certain limitations. This review aimed to explore new targets for the early diagnosis and treatment of ADPKD, considering ongoing developments. We particularly focus on cell polarity, which is a key factor that influences the process and pace of cyst formation. In addition, we aimed to identify agents or treatments that can prevent or impede the progression of renal fibrosis, ultimately slowing its trajectory toward end-stage renal disease. Recent advances in slowing ADPKD progression have been examined, and potential therapeutic approaches targeting multiple pathways have been introduced. This comprehensive review discusses innovative strategies to address the challenges of ADPKD and provides valuable insights into potential avenues for its prevention and treatment.
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Affiliation(s)
- Yejin Ahn
- Department of Biological Sciences, Sookmyung Women’s University, Seoul, 04310, 04310, Republic of Korea
| | - Jong Hoon Park
- Department of Biological Sciences, Sookmyung Women’s University, Seoul, 04310, 04310, Republic of Korea
- Research Institute of Women’s Health, Sookmyung Women’s University, Seoul, 04310, Republic of Korea
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Fung WWS, Szeto CC, Chow KM, Cheng PMS, Kwong VWK, Lau SLF, Pang WF, Chu WCW, Ong ACM, Devuyst O, Li PKT. Clinical Characteristics and Kidney Outcomes in Chinese Patients with Autosomal Dominant Polycystic Kidney Disease. KIDNEY360 2024; 5:715-723. [PMID: 38556647 PMCID: PMC11146654 DOI: 10.34067/kid.0000000000000433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 03/26/2024] [Indexed: 04/02/2024]
Abstract
Key Points The Mayo clinic imaging classification allows more accurate risk stratification but is limited by the lack of data on non-White populations and on atypical imaging patterns. In this cohort of Chinese patients with autosomal dominant polycystic kidney disease, an atypical imaging pattern was observed in 17% of the cases, associated with later presentation and a milder disease course. There may be genotypic differences, especially among those with atypical imaging. Future genotyping studies will help to define the genetic basis for the phenotypic spectrum in Chinese patients. Background The management of autosomal dominant polycystic kidney disease (ADPKD) remains challenging with variable and uncertain genotype–phenotype correlations. The Mayo clinic imaging classification allows more accurate risk stratification but is limited by the atypical imaging patterns. We aim to assess the clinical characteristics and the morphology of the cystic kidneys in a cohort of Chinese patients with ADPKD. Methods Ninety-eight patients with ADPKD were recruited prospectively from August 2019 to December 2020 in Prince of Wales Hospital, Hong Kong. They were subsequently followed up every 6 months for a minimum of 2 years. We reviewed the clinical characteristics and magnetic resonance imaging patterns at baseline and the kidney outcome at the end of the follow-up. Atypical imaging patterns included unilateral, segmental, asymmetric, lopsided, and bilateral atrophy as defined by the Mayo Imaging Classification. Results The mean age was 51.5±14.3 years, and the mean eGFR 68.7±27.5 ml/min per 1.73 m2. The 98 patients included 36 male and 62 female. Seventy-six patients (77.6%) had a family history. Seventeen of the 98 (17.3%) patients had atypical imaging patterns. Compared with typical cases, atypical cases were older at the time of diagnosis (49.5±16.0 versus 33.0±13.0 years, P < 0.001) and at the time of starting antihypertensive medications (52.4±14.8 versus 39.7±11.0 years, P = 0.001) and were less likely to have a positive family history (58.8% versus 81.5%, P = 0.042). Patients with atypical patterns showed a lower eGFR decline compared with those with the typical pattern (−0.86±4.34 versus −3.44±4.07 ml/min per 1.73 m2 per year, P = 0.022). Conclusions In this cohort of Chinese patients with ADPKD, an atypical imaging pattern was observed in 17% of the cases, associated with later presentation and a milder disease course. Future genotyping studies will help to define the genetic architecture and the basis for the phenotypic spectrum in Chinese patients with ADPKD.
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Affiliation(s)
- Winston Wing-Shing Fung
- Department of Medicine and Therapeutics, Prince of Wales Hospital, Hong Kong, China
- CUHK Carol and Richard Yu Peritoneal Dialysis Research Centre, Hong Kong, China
| | - Cheuk-Chun Szeto
- Department of Medicine and Therapeutics, Prince of Wales Hospital, Hong Kong, China
- CUHK Carol and Richard Yu Peritoneal Dialysis Research Centre, Hong Kong, China
- Li Ka Shing Institute of Health Sciences (LiHS), The Chinese University of Hong Kong, Hong Kong, China
| | - Kai-Ming Chow
- Department of Medicine and Therapeutics, Prince of Wales Hospital, Hong Kong, China
- CUHK Carol and Richard Yu Peritoneal Dialysis Research Centre, Hong Kong, China
| | - Phyllis Mei-Shan Cheng
- Department of Medicine and Therapeutics, Prince of Wales Hospital, Hong Kong, China
- CUHK Carol and Richard Yu Peritoneal Dialysis Research Centre, Hong Kong, China
| | - Vickie Wai-Ki Kwong
- Department of Medicine and Therapeutics, Prince of Wales Hospital, Hong Kong, China
- CUHK Carol and Richard Yu Peritoneal Dialysis Research Centre, Hong Kong, China
| | - Sam Lik-Fung Lau
- Department of Medicine and Therapeutics, Prince of Wales Hospital, Hong Kong, China
- CUHK Carol and Richard Yu Peritoneal Dialysis Research Centre, Hong Kong, China
| | - Wing-Fai Pang
- Department of Medicine and Therapeutics, Prince of Wales Hospital, Hong Kong, China
- CUHK Carol and Richard Yu Peritoneal Dialysis Research Centre, Hong Kong, China
| | - Winnie Chiu-Wing Chu
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, China
| | - Albert Chee Meng Ong
- Academic Nephrology Unit, The University of Sheffield Medical School, Sheffield, United Kingdom
| | - Olivier Devuyst
- Institute of Physiology, University of Zurich, Zürich, Switzerland
- Division of Nephrology, UCLouvain Medical School, Brussels, Belgium
| | - Philip Kam-Tao Li
- Department of Medicine and Therapeutics, Prince of Wales Hospital, Hong Kong, China
- CUHK Carol and Richard Yu Peritoneal Dialysis Research Centre, Hong Kong, China
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Mahboobipour AA, Ala M, Safdari Lord J, Yaghoobi A. Clinical manifestation, epidemiology, genetic basis, potential molecular targets, and current treatment of polycystic liver disease. Orphanet J Rare Dis 2024; 19:175. [PMID: 38671465 PMCID: PMC11055360 DOI: 10.1186/s13023-024-03187-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 04/17/2024] [Indexed: 04/28/2024] Open
Abstract
Polycystic liver disease (PLD) is a rare condition observed in three genetic diseases, including autosomal dominant polycystic liver disease (ADPLD), autosomal dominant polycystic kidney disease (ADPKD), and autosomal recessive polycystic kidney disease (ARPKD). PLD usually does not impair liver function, and advanced PLD becomes symptomatic when the enlarged liver compresses adjacent organs or increases intra-abdominal pressure. Currently, the diagnosis of PLD is mainly based on imaging, and genetic testing is not required except for complex cases. Besides, genetic testing may help predict patients' prognosis, classify patients for genetic intervention, and conduct early treatment. Although the underlying genetic causes and mechanisms are not fully understood, previous studies refer to primary ciliopathy or impaired ciliogenesis as the main culprit. Primarily, PLD occurs due to defective ciliogenesis and ineffective endoplasmic reticulum quality control. Specifically, loss of function mutations of genes that are directly involved in ciliogenesis, such as Pkd1, Pkd2, Pkhd1, and Dzip1l, can lead to both hepatic and renal cystogenesis in ADPKD and ARPKD. In addition, loss of function mutations of genes that are involved in endoplasmic reticulum quality control and protein folding, trafficking, and maturation, such as PRKCSH, Sec63, ALG8, ALG9, GANAB, and SEC61B, can impair the production and function of polycystin1 (PC1) and polycystin 2 (PC2) or facilitate their degradation and indirectly promote isolated hepatic cystogenesis or concurrent hepatic and renal cystogenesis. Recently, it was shown that mutations of LRP5, which impairs canonical Wnt signaling, can lead to hepatic cystogenesis. PLD is currently treated by somatostatin analogs, percutaneous intervention, surgical fenestration, resection, and liver transplantation. In addition, based on the underlying molecular mechanisms and signaling pathways, several investigational treatments have been used in preclinical studies, some of which have shown promising results. This review discusses the clinical manifestation, complications, prevalence, genetic basis, and treatment of PLD and explains the investigational methods of treatment and future research direction, which can be beneficial for researchers and clinicians interested in PLD.
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Affiliation(s)
- Amir Ali Mahboobipour
- Tracheal Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Moein Ala
- Experimental Medicine Research Center, School of Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
| | - Javad Safdari Lord
- Department of Medical Genetics, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Arash Yaghoobi
- Department of Medical Genetics, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- School of Biological Science, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran
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4
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Yurtdas ZY, Kilic E, Boor P, Wyler E, Landthaler M, Jung K, Schmidt-Ott KM. Grainyhead-like 2 Deficiency and Kidney Cyst Growth in a Mouse Model. J Am Soc Nephrol 2024:00001751-990000000-00296. [PMID: 38656794 DOI: 10.1681/asn.0000000000000353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Accepted: 04/08/2024] [Indexed: 04/26/2024] Open
Abstract
Key Points
Our study reveals segment-specific mechanisms in cystic kidney disease and suggests Grhl2 as a modifier of collecting duct–derived cyst progression.Our data demonstrate that genetic deletion of Grhl2 accelerates disease progression in a cystic mouse model.
Background
The transcription factor grainyhead-like 2 (GRHL2) plays a crucial role in maintaining the epithelial barrier properties of the kidney collecting duct and is important to osmoregulation. We noticed a reduction in GRHL2 expression in cysts derived from the collecting ducts in kidneys affected by autosomal dominant polycystic kidney disease (ADPKD). However, the specific role of GRHL2 in cystic kidney disease remains unknown.
Methods
The functional role of the transcription factor Grhl2 in the context of cystic kidney disease was examined through analysis of its expression pattern in patient samples with ADPKD and generating a transgenic cystic kidney disease (TCKD) mouse model by overexpressing the human proto-oncogene c-MYC in kidney collecting ducts. Next, TCKD mice bred with collecting duct–specific Grhl2 knockout mice (Grhl2KO). The resulting TCKD-Grhl2KO mice and their littermates were examined by various types of histological and biochemical assays and gene profiling analysis through RNA sequencing.
Results
A comprehensive examination of kidney samples from patients with ADPKD revealed GRHL2 downregulation in collecting duct–derived cyst epithelia. Comparative analysis of TCKD and TCKD-Grhl2KO mice exhibited that the collecting duct–specific deletion of Grhl2 resulted in markedly aggravated cyst growth, worsened kidney dysfunction, and shortened life span. Furthermore, transcriptomic analyses indicated sequential downregulation of kidney epithelial cyst development regulators (Frem2, Muc1, Cdkn2c, Pkd2, and Tsc1) during cyst progression in kidneys of TCKD-Grhl2KO mice, which included presumed direct Grhl2 target genes.
Conclusions
These results suggest Grhl2 as a potential progression modifier, especially for cysts originating from collecting ducts.
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Affiliation(s)
- Zeliha Yesim Yurtdas
- Molecular and Translational Kidney Research, Max-Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
- Berlin Institute for Urologic Research, Berlin, Germany
- Department of Urology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Ergin Kilic
- Medical School Hamburg, Department of Pathology, Hamburg, Germany
| | - Peter Boor
- Institute of Pathology and Department of Nephrology, University Hospital of the RWTH Aachen, Aachen, Germany
| | - Emanuel Wyler
- Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Markus Landthaler
- Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
- Institute für Biologie, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Klaus Jung
- Berlin Institute for Urologic Research, Berlin, Germany
- Department of Urology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Kai M Schmidt-Ott
- Molecular and Translational Kidney Research, Max-Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
- Department of Nephrology and Medical Intensive Care, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Nephrology and Hypertension, Hannover Medical School, Hannover, Germany
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Xu P, Wang L, Li J, Huang S, Gao M, Kang R, Li J, Xie H, Liu X, Yan J, Gao X, Gao Y. OGM and WES identifies translocation breakpoints in PKD1 gene in an polycystic kidney patient and healthy baby delivered using PGT. BMC Med Genomics 2023; 16:285. [PMID: 37953234 PMCID: PMC10642002 DOI: 10.1186/s12920-023-01725-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Accepted: 11/02/2023] [Indexed: 11/14/2023] Open
Abstract
BACKGROUND Autosomal dominant polycystic kidney disease (ADPKD) is one of the most common autosomal dominant genetic diseases. Whole exome sequencing (WES) is a routine tool for diagnostic confirmation of genetic diseases, and it is usually performed to confirm the clinical diagnosis in ADPKD. Reciprocal translocation is the most common chromosomal structural abnormalities and most of its carriers have normal phenotypes until they are encountered infertility problems in adulthood. However, for the polycystic kidney disease caused by abnormal chromosome structure, WES is difficult to achieve the purpose of gene diagnosis. METHODS ADPKD-related genes were detected by WES; Chromosomal karyotyping and Optical Genome Mapping (OGM) were used to detect structural variant; The genomic break-point locations and the abnormal splicing were detected by reverse transcription-PCR and Sanger sequencing; The karyomapping gene chip and Next-Generation Sequencing (NGS) were performed to screen aneuploidy and to distinguish the non-carrier embryos from the carrier embryos. RESULTS No pathogenic variant was found after the first round of WES analysis. Karyotyping data showed 46, XX, t (16; 17) (p13.3; q21.3). With the help of OGM, the translocation breakpoint on chromosome 16 was located within the PKD1 gene. With re-analysis of WES raw data, the breakpoint of translocation was verified to be located at the c.10618 + 3 of PKD1 gene. Based on this molecular diagnosis, a non-carrier embryo was selected out from three blastocysts. With preimplantation genetic testing (PGT) after in vitro fertilization (IVF), it was then transferred into uterus. With confirmation by prenatal and postnatal testing, the pedigree delivered a healthy baby. CONCLUSION We identified a case of ADPKD caused by balanced translocation and assisted the patient to have a healthy child. When the phenotype was closely related with a monogenic disease and the WES analysis was negative, chromosomal structural analysis would be recommended for further genetic diagnosis. Based on the precision diagnosis, preventing the recurrence of hereditary diseases in offspring would be reachable.
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Affiliation(s)
- Peiwen Xu
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, Shandong, China
- Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, Shandong, China
- Shandong Provincial Clinical Medicine Research Center for Reproductive Health, Shandong University, Jinan, 250012, Shandong, China
| | - Lijuan Wang
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, Shandong, China
- Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, Shandong, China
- Shandong Provincial Clinical Medicine Research Center for Reproductive Health, Shandong University, Jinan, 250012, Shandong, China
| | - Jing Li
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, Shandong, China
- Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, Shandong, China
- Shandong Provincial Clinical Medicine Research Center for Reproductive Health, Shandong University, Jinan, 250012, Shandong, China
| | - Sexin Huang
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, Shandong, China
- Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, Shandong, China
- Shandong Provincial Clinical Medicine Research Center for Reproductive Health, Shandong University, Jinan, 250012, Shandong, China
| | - Ming Gao
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, Shandong, China
- Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, Shandong, China
- Shandong Provincial Clinical Medicine Research Center for Reproductive Health, Shandong University, Jinan, 250012, Shandong, China
| | - Ranran Kang
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, Shandong, China
- Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, Shandong, China
- Shandong Provincial Clinical Medicine Research Center for Reproductive Health, Shandong University, Jinan, 250012, Shandong, China
| | - Jie Li
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, Shandong, China
- Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, Shandong, China
- Shandong Provincial Clinical Medicine Research Center for Reproductive Health, Shandong University, Jinan, 250012, Shandong, China
| | - Hongqiang Xie
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, Shandong, China
- Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, Shandong, China
- Shandong Provincial Clinical Medicine Research Center for Reproductive Health, Shandong University, Jinan, 250012, Shandong, China
| | - Xiaowei Liu
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, Shandong, China
- Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, Shandong, China
- Shandong Provincial Clinical Medicine Research Center for Reproductive Health, Shandong University, Jinan, 250012, Shandong, China
| | - Junhao Yan
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, Shandong, China
- Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, Shandong, China
- Shandong Provincial Clinical Medicine Research Center for Reproductive Health, Shandong University, Jinan, 250012, Shandong, China
| | - Xuan Gao
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, Shandong, China
- Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, Shandong, China
- Shandong Provincial Clinical Medicine Research Center for Reproductive Health, Shandong University, Jinan, 250012, Shandong, China
| | - Yuan Gao
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China.
- Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, Shandong, China.
- Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, Shandong, China.
- Shandong Provincial Clinical Medicine Research Center for Reproductive Health, Shandong University, Jinan, 250012, Shandong, China.
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6
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Boulogne F, Claus LR, Wiersma H, Oelen R, Schukking F, de Klein N, Li S, Westra HJ, van der Zwaag B, van Reekum F, Sierks D, Schönauer R, Li Z, Bijlsma EK, Bos WJW, Halbritter J, Knoers NVAM, Besse W, Deelen P, Franke L, van Eerde AM. KidneyNetwork: using kidney-derived gene expression data to predict and prioritize novel genes involved in kidney disease. Eur J Hum Genet 2023; 31:1300-1308. [PMID: 36807342 PMCID: PMC10620423 DOI: 10.1038/s41431-023-01296-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 11/24/2022] [Accepted: 01/18/2023] [Indexed: 02/22/2023] Open
Abstract
Genetic testing in patients with suspected hereditary kidney disease may not reveal the genetic cause for the disorder as potentially pathogenic variants can reside in genes that are not yet known to be involved in kidney disease. We have developed KidneyNetwork, that utilizes tissue-specific expression to inform candidate gene prioritization specifically for kidney diseases. KidneyNetwork is a novel method constructed by integrating a kidney RNA-sequencing co-expression network of 878 samples with a multi-tissue network of 31,499 samples. It uses expression patterns and established gene-phenotype associations to predict which genes could be related to what (disease) phenotypes in an unbiased manner. We applied KidneyNetwork to rare variants in exome sequencing data from 13 kidney disease patients without a genetic diagnosis to prioritize candidate genes. KidneyNetwork can accurately predict kidney-specific gene functions and (kidney disease) phenotypes for disease-associated genes. The intersection of prioritized genes with genes carrying rare variants in a patient with kidney and liver cysts identified ALG6 as plausible candidate gene. We strengthen this plausibility by identifying ALG6 variants in several cystic kidney and liver disease cases without alternative genetic explanation. We present KidneyNetwork, a publicly available kidney-specific co-expression network with optimized gene-phenotype predictions for kidney disease phenotypes. We designed an easy-to-use online interface that allows clinicians and researchers to use gene expression and co-regulation data and gene-phenotype connections to accelerate advances in hereditary kidney disease diagnosis and research. TRANSLATIONAL STATEMENT: Genetic testing in patients with suspected hereditary kidney disease may not reveal the genetic cause for the patient's disorder. Potentially pathogenic variants can reside in genes not yet known to be involved in kidney disease, making it difficult to interpret the relevance of these variants. This reveals a clear need for methods to predict the phenotypic consequences of genetic variation in an unbiased manner. Here we describe KidneyNetwork, a tool that utilizes tissue-specific expression to predict kidney-specific gene functions. Applying KidneyNetwork to a group of undiagnosed cases identified ALG6 as a candidate gene in cystic kidney and liver disease. In summary, KidneyNetwork can aid the interpretation of genetic variants and can therefore be of value in translational nephrogenetics and help improve the diagnostic yield in kidney disease patients.
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Affiliation(s)
- Floranne Boulogne
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Oncode Institute, Utrecht, The Netherlands
| | - Laura R Claus
- Department of Genetics, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Henry Wiersma
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Roy Oelen
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Oncode Institute, Utrecht, The Netherlands
| | - Floor Schukking
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Niek de Klein
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Shuang Li
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Genomics Coordination Center, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Harm-Jan Westra
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Oncode Institute, Utrecht, The Netherlands
| | - Bert van der Zwaag
- Department of Genetics, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Franka van Reekum
- Department of Nephrology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Dana Sierks
- Medical Department III - Endocrinology, Nephrology, Rheumatology Department of Internal Medicine, Division of Nephrology, University of Leipzig Medical Center, Leipzig, Germany
| | - Ria Schönauer
- Medical Department III - Endocrinology, Nephrology, Rheumatology Department of Internal Medicine, Division of Nephrology, University of Leipzig Medical Center, Leipzig, Germany
- Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Zhigui Li
- Department of Internal Medicine (Nephrology), Yale School of Medicine, New Haven, CT, USA
| | - Emilia K Bijlsma
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Willem Jan W Bos
- Department of Internal Medicine, St Antonius Hospital, Nieuwegein, The Netherlands
- Department of Internal Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Jan Halbritter
- Medical Department III - Endocrinology, Nephrology, Rheumatology Department of Internal Medicine, Division of Nephrology, University of Leipzig Medical Center, Leipzig, Germany
- Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Nine V A M Knoers
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Whitney Besse
- Department of Internal Medicine (Nephrology), Yale School of Medicine, New Haven, CT, USA
| | - Patrick Deelen
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Oncode Institute, Utrecht, The Netherlands
- Department of Genetics, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Lude Franke
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Oncode Institute, Utrecht, The Netherlands
| | - Albertien M van Eerde
- Department of Genetics, University Medical Center Utrecht, Utrecht, The Netherlands.
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7
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Boerrigter MM, Duijzer R, te Morsche RHM, Drenth JPH. Heterozygosity of ALG9 in Association with Autosomal Dominant Polycystic Liver Disease. Genes (Basel) 2023; 14:1755. [PMID: 37761895 PMCID: PMC10530326 DOI: 10.3390/genes14091755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 08/30/2023] [Accepted: 08/31/2023] [Indexed: 09/29/2023] Open
Abstract
α-1,2-mannosyltransferase (ALG9) germline variants are linked to autosomal dominant polycystic kidney disease (ADPKD). Many individuals affected with ADPKD possess polycystic livers as a common extrarenal manifestation. We performed whole exome sequencing in a female with autosomal dominant polycystic liver disease (ADPLD) without kidney cysts and established the presence of a heterozygous missense variant (c.677G>C p.(Gly226Ala)) in ALG9. In silico pathogenicity prediction and 3D protein modeling determined this variant as pathogenic. Loss of heterozygosity is regularly seen in liver cyst walls. Immunohistochemistry indicated the absence of ALG9 in liver tissue from this patient. ALG9 expression was absent in cyst wall lining from ALG9- and PRKCSH-caused ADPLD patients but present in the liver cyst lining derived from an ADPKD patient with a PKD2 variant. Thus, heterozygous pathogenic variants in ALG9 are also associated with ADPLD. Somatic loss of heterozygosity of the ALG9 enzyme was seen in the ALG9 patient but also in ADPLD patients with a different genetic background. This expanded the phenotypic spectrum of ADPLD to ALG9.
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Affiliation(s)
- Melissa M. Boerrigter
- Department of Gastroenterology and Hepatology, Research Institute for Medical Innovation, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Renée Duijzer
- Department of Gastroenterology and Hepatology, Research Institute for Medical Innovation, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
- European Reference Network RARE-LIVER, D-20246 Hamburg, Germany
| | - René H. M. te Morsche
- Department of Gastroenterology and Hepatology, Research Institute for Medical Innovation, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Joost P. H. Drenth
- Department of Gastroenterology and Hepatology, Research Institute for Medical Innovation, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
- European Reference Network RARE-LIVER, D-20246 Hamburg, Germany
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8
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Yang H, Sieben CJ, Schauer RS, Harris PC. Genetic Spectrum of Polycystic Kidney and Liver Diseases and the Resulting Phenotypes. ADVANCES IN KIDNEY DISEASE AND HEALTH 2023; 30:397-406. [PMID: 38097330 PMCID: PMC10746289 DOI: 10.1053/j.akdh.2023.04.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 04/21/2023] [Accepted: 04/27/2023] [Indexed: 12/18/2023]
Abstract
Polycystic kidney diseases are a group of monogenically inherited disorders characterized by cyst development in the kidney with defects in primary cilia function central to pathogenesis. Autosomal dominant polycystic kidney disease (ADPKD) has progressive cystogenesis and accounts for 5-10% of kidney failure (KF) patients. There are two major ADPKD genes, PKD1 and PKD2, and seven minor loci. PKD1 accounts for ∼80% of patients and is associated with the most severe disease (KF is typically at 55-65 years); PKD2 accounts for ∼15% of families, with KF typically in the mid-70s. The minor genes are generally associated with milder kidney disease, but for DNAJB11 and ALG5, the age at KF is similar to PKD2. PKD1 and PKD2 have a high level of allelic heterogeneity, with no single pathogenic variant accounting for >2% of patients. Additional genetic complexity includes biallelic disease, sometimes causing very early-onset ADPKD, and mosaicism. Autosomal dominant polycystic liver disease is characterized by severe PLD but limited PKD. The two major genes are PRKCSH and SEC63, while GANAB, ALG8, and PKHD1 can present as ADPKD or autosomal dominant polycystic liver disease. Autosomal recessive polycystic kidney disease typically has an infantile onset, with PKHD1 being the major locus and DZIP1L and CYS1 being minor genes. In addition, there are a range of mainly recessive syndromic ciliopathies with PKD as part of the phenotype. Because of the phenotypic and genic overlap between the diseases, employing a next-generation sequencing panel containing all known PKD and ciliopathy genes is recommended for clinical testing.
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Affiliation(s)
- Hana Yang
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester MN
| | - Cynthia J Sieben
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester MN
| | - Rachel S Schauer
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester MN
| | - Peter C Harris
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester MN.
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9
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Boerrigter MM, te Morsche RHM, Venselaar H, Pastoors N, Geerts AM, Hoorens A, Drenth JPH. Novel α-1,3-Glucosyltransferase Variants and Their Broad Clinical Polycystic Liver Disease Spectrum. Genes (Basel) 2023; 14:1652. [PMID: 37628703 PMCID: PMC10454741 DOI: 10.3390/genes14081652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 08/16/2023] [Accepted: 08/17/2023] [Indexed: 08/27/2023] Open
Abstract
Protein-truncating variants in α-1,3-glucosyltransferase (ALG8) are a risk factor for a mild cystic kidney disease phenotype. The association between these variants and liver cysts is limited. We aim to identify pathogenic ALG8 variants in our cohort of autosomal dominant polycystic liver disease (ADPLD) individuals. In order to fine-map the phenotypical spectrum of pathogenic ALG8 variant carriers, we performed targeted ALG8 screening in 478 ADPLD singletons, and exome sequencing in 48 singletons and 4 patients from two large ADPLD families. Eight novel and one previously reported pathogenic variant in ALG8 were discovered in sixteen patients. The ALG8 clinical phenotype ranges from mild to severe polycystic liver disease, and from innumerable small to multiple large hepatic cysts. The presence of <5 renal cysts that do not affect renal function is common in this population. Three-dimensional homology modeling demonstrated that six variants cause a truncated ALG8 protein with abnormal functioning, and one variant is predicted to destabilize ALG8. For the seventh variant, immunostaining of the liver tissue showed a complete loss of ALG8 in the cystic cells. ALG8-associated ADPLD has a broad clinical spectrum, including the possibility of developing a small number of renal cysts. This broadens the ADPLD genotype-phenotype spectrum and narrows the gap between liver-specific ADPLD and kidney-specific ADPKD.
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Affiliation(s)
- Melissa M. Boerrigter
- Department of Gastroenterology and Hepatology, Research Institute for Medical Innovation, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands
| | - René H. M. te Morsche
- Department of Gastroenterology and Hepatology, Research Institute for Medical Innovation, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands
| | - Hanka Venselaar
- Center for Molecular and Biomolecular Informatics, Research Institute for Medical Innovation, 6500 HB Nijmegen, The Netherlands
| | - Nikki Pastoors
- Department of Gastroenterology and Hepatology, Research Institute for Medical Innovation, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands
| | - Anja M. Geerts
- Department of Gastroenterology and Hepatology, Ghent University Hospital, 9000 Ghent, Belgium
| | - Anne Hoorens
- Department of Pathology, Ghent University Hospital, 9000 Ghent, Belgium
| | - Joost P. H. Drenth
- Department of Gastroenterology and Hepatology, Research Institute for Medical Innovation, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands
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10
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Hanna C, Iliuta IA, Besse W, Mekahli D, Chebib FT. Cystic Kidney Diseases in Children and Adults: Differences and Gaps in Clinical Management. Semin Nephrol 2023; 43:151434. [PMID: 37996359 DOI: 10.1016/j.semnephrol.2023.151434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2023]
Abstract
Cystic kidney diseases, when broadly defined, have a wide differential diagnosis extending from recessive diseases with a prenatal or pediatric diagnosis, to the most common autosomal-dominant polycystic kidney disease primarily affecting adults, and several other genetic or acquired etiologies that can manifest with kidney cysts. The most likely diagnoses to consider when assessing a patient with cystic kidney disease differ depending on family history, age stratum, radiologic characteristics, and extrarenal features. Accurate identification of the underlying condition is crucial to estimate the prognosis and initiate the appropriate management, identification of extrarenal manifestations, and counseling on recurrence risk in future pregnancies. There are significant differences in the clinical approach to investigating and managing kidney cysts in children compared with adults. Next-generation sequencing has revolutionized the diagnosis of inherited disorders of the kidney, despite limitations in access and challenges in interpreting the data. Disease-modifying treatments are lacking in the majority of kidney cystic diseases. For adults with rapid progressive autosomal-dominant polycystic kidney disease, tolvaptan (V2-receptor antagonist) has been approved to slow the rate of decline in kidney function. In this article, we examine the differences in the differential diagnosis and clinical management of cystic kidney disease in children versus adults, and we highlight the progress in molecular diagnostics and therapeutics, as well as some of the gaps meriting further attention.
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Affiliation(s)
- Christian Hanna
- Division of Pediatric Nephrology and Hypertension, Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN; Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN.
| | - Ioan-Andrei Iliuta
- Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Jacksonville, FL
| | - Whitney Besse
- Section of Nephrology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT
| | - Djalila Mekahli
- PKD Research Group, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium; Department of Pediatric Nephrology, University Hospitals Leuven, Leuven, Belgium
| | - Fouad T Chebib
- Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Jacksonville, FL.
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11
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Nigro E, Amicone M, D'Arco D, Sellitti G, De Marco O, Guarino M, Riccio E, Pisani A, Daniele A. Molecular Diagnosis and Identification of Novel Pathogenic Variants in a Large Cohort of Italian Patients Affected by Polycystic Kidney Diseases. Genes (Basel) 2023; 14:1236. [PMID: 37372416 DOI: 10.3390/genes14061236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 06/03/2023] [Accepted: 06/05/2023] [Indexed: 06/29/2023] Open
Abstract
Polycystic Kidney Diseases (PKDs) consist of a genetically and phenotypically heterogeneous group of inherited disorders characterized by numerous renal cysts. PKDs include autosomal dominant ADPKD, autosomal recessive ARPKD and atypical forms. Here, we analyzed 255 Italian patients using an NGS panel of 63 genes, plus Sanger sequencing of exon 1 of the PKD1 gene and MPLA (PKD1, PKD2 and PKHD1) analysis. Overall, 167 patients bore pathogenic/likely pathogenic variants in dominant genes, and 5 patients in recessive genes. Four patients were carriers of one pathogenic/likely pathogenic recessive variant. A total of 24 patients had a VUS variant in dominant genes, 8 patients in recessive genes and 15 patients were carriers of one VUS variant in recessive genes. Finally, in 32 patients we could not reveal any variant. Regarding the global diagnostic status, 69% of total patients bore pathogenic/likely pathogenic variants, 18.4% VUS variants and in 12.6% of patients we could not find any. PKD1 and PKD2 resulted to be the most mutated genes; additional genes were UMOD and GANAB. Among recessive genes, PKHD1 was the most mutated gene. An analysis of eGFR values showed that patients with truncating variants had a more severe phenotype. In conclusion, our study confirmed the high degree of genetic complexity at the basis of PKDs and highlighted the crucial role of molecular characterization in patients with suspicious clinical diagnosis. An accurate and early molecular diagnosis is essential to adopt the appropriate therapeutic protocol and represents a predictive factor for family members.
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Affiliation(s)
- Ersilia Nigro
- CEINGE-Biotecnologie Avanzate Scarl "Franco Salvatore", Via G. Salvatore 486, 80145 Napoli, Italy
- Dipartimento di Scienze e Tecnologie Ambientali, Biologiche, Farmaceutiche, Università della Campania "Luigi Vanvitelli", Via Vivaldi 43, 81100 Caserta, Italy
| | - Maria Amicone
- Unità di Nefrologia, Dipartimento di Sanità Pubblica, Università di Napoli "Federico II", Via Pansini 5, 80131 Napoli, Italy
| | - Daniela D'Arco
- CEINGE-Biotecnologie Avanzate Scarl "Franco Salvatore", Via G. Salvatore 486, 80145 Napoli, Italy
| | - Gina Sellitti
- Unità di Nefrologia, Dipartimento di Sanità Pubblica, Università di Napoli "Federico II", Via Pansini 5, 80131 Napoli, Italy
| | - Oriana De Marco
- Unità di Nefrologia, Dipartimento di Sanità Pubblica, Università di Napoli "Federico II", Via Pansini 5, 80131 Napoli, Italy
| | - Maria Guarino
- Gastroenterology and Hepatology Unit, Department of Clinical Medicine and Surgery, University of Naples "Federico II", Via Pansini 5, 80131 Naples, Italy
| | - Eleonora Riccio
- Unità di Nefrologia, Dipartimento di Sanità Pubblica, Università di Napoli "Federico II", Via Pansini 5, 80131 Napoli, Italy
| | - Antonio Pisani
- Unità di Nefrologia, Dipartimento di Sanità Pubblica, Università di Napoli "Federico II", Via Pansini 5, 80131 Napoli, Italy
| | - Aurora Daniele
- CEINGE-Biotecnologie Avanzate Scarl "Franco Salvatore", Via G. Salvatore 486, 80145 Napoli, Italy
- Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università degli Studi "Federico II", Via Pansini 5, 80131 Napoli, Italy
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12
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Orisio S, Noris M, Rigoldi M, Bresin E, Perico N, Trillini M, Donadelli R, Perna A, Benigni A, Remuzzi G. Mutation Analysis of PKD1 and PKD2 Genes in a Large Italian Cohort Reveals Novel Pathogenic Variants Including a Novel Complex Rearrangement. Nephron Clin Pract 2023; 148:273-291. [PMID: 37231942 DOI: 10.1159/000530657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Accepted: 03/26/2023] [Indexed: 05/27/2023] Open
Abstract
BACKGROUND Autosomal dominant polycystic kidney disease (ADPKD) is the most common inherited disease of the kidney. It occurs in adulthood but is also rarely diagnosed in early childhood. The majority of the disease-causing variants observed in ADPKD patients are in two genes: PKD1 and PKD2. METHODS 237 patients from 198 families with a clinical diagnosis of ADPKD were screened for PKD1 and PKD2 genetic variants using Sanger sequencing and multiple ligation-dependent probe amplification analysis. RESULTS Disease-causing (diagnostic) variants were identified in 173 families (211 patients), 156 on PKD1 and 17 on PKD2. Variants of unknown significance were detected in 6 additional families, while no mutations were found in the remaining 19 families. Among the diagnostic variants detected, 51 were novel. In ten families, seven large rearrangements were found and the molecular breakpoints of 3 rearrangements were identified. Renal survival was significantly worse for PKD1-mutated patients, particularly those carrying truncating mutations. In patients with PKD1 truncating (PKD1-T) mutations, disease onset was significantly earlier than in patients with PKD1 non-truncating variants or PKD2-mutated patients. CONCLUSIONS Comprehensive genetic testing confirms its utility in diagnosing patients with ADPKD and contributes to explaining the clinical heterogeneity observed in this disease. Moreover, the genotype-phenotype correlation can allow for a more accurate disease prognosis.
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Affiliation(s)
- Silvia Orisio
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy
| | - Marina Noris
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy
| | - Miriam Rigoldi
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy
| | - Elena Bresin
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy
| | - Norberto Perico
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy
| | - Matias Trillini
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy
| | - Roberta Donadelli
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy
| | - Annalisa Perna
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy
| | - Ariela Benigni
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy
| | - Giuseppe Remuzzi
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy
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13
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Potretzke TA, Korfiatis P, Blezek DJ, Edwards ME, Klug JR, Cook CJ, Gregory AV, Harris PC, Chebib FT, Hogan MC, Torres VE, Bolan CW, Sandrasegaran K, Kawashima A, Collins JD, Takahashi N, Hartman RP, Williamson EE, King BF, Callstrom MR, Erickson BJ, Kline TL. Clinical Implementation of an Artificial Intelligence Algorithm for Magnetic Resonance-Derived Measurement of Total Kidney Volume. Mayo Clin Proc 2023; 98:689-700. [PMID: 36931980 PMCID: PMC10159957 DOI: 10.1016/j.mayocp.2022.12.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2022] [Revised: 12/09/2022] [Accepted: 12/29/2022] [Indexed: 03/18/2023]
Abstract
OBJECTIVE To evaluate the performance of an internally developed and previously validated artificial intelligence (AI) algorithm for magnetic resonance (MR)-derived total kidney volume (TKV) in autosomal dominant polycystic kidney disease (ADPKD) when implemented in clinical practice. PATIENTS AND METHODS The study included adult patients with ADPKD seen by a nephrologist at our institution between November 2019 and January 2021 and undergoing an MR imaging examination as part of standard clinical care. Thirty-three nephrologists ordered MR imaging, requesting AI-based TKV calculation for 170 cases in these 161 unique patients. We tracked implementation and performance of the algorithm over 1 year. A radiologist and a radiology technologist reviewed all cases (N=170) for quality and accuracy. Manual editing of algorithm output occurred at radiology or radiology technologist discretion. Performance was assessed by comparing AI-based and manually edited segmentations via measures of similarity and dissimilarity to ensure expected performance. We analyzed ADPKD severity class assignment of algorithm-derived vs manually edited TKV to assess impact. RESULTS Clinical implementation was successful. Artificial intelligence algorithm-based segmentation showed high levels of agreement and was noninferior to interobserver variability and other methods for determining TKV. Of manually edited cases (n=84), the AI-algorithm TKV output showed a small mean volume difference of -3.3%. Agreement for disease class between AI-based and manually edited segmentation was high (five cases differed). CONCLUSION Performance of an AI algorithm in real-life clinical practice can be preserved if there is careful development and validation and if the implementation environment closely matches the development conditions.
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Affiliation(s)
| | | | | | | | - Jason R Klug
- Department of Radiology and Mayo Clinic, Rochester, MN, USA
| | - Cole J Cook
- Department of Radiology and Mayo Clinic, Rochester, MN, USA
| | | | - Peter C Harris
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA
| | - Fouad T Chebib
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA
| | - Marie C Hogan
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA
| | - Vicente E Torres
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA
| | | | | | | | | | | | | | | | - Bernard F King
- Department of Radiology and Mayo Clinic, Rochester, MN, USA
| | | | | | - Timothy L Kline
- Department of Radiology and Mayo Clinic, Rochester, MN, USA; Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA.
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14
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Apple B, Sartori G, Moore B, Chintam K, Singh G, Anand PM, Strande NT, Mirshahi T, Triffo W, Chang AR. Individuals heterozygous for ALG8 protein-truncating variants are at increased risk of a mild cystic kidney disease. Kidney Int 2023; 103:607-615. [PMID: 36574950 PMCID: PMC10012037 DOI: 10.1016/j.kint.2022.11.025] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 11/10/2022] [Accepted: 11/23/2022] [Indexed: 12/25/2022]
Abstract
ALG8 protein-truncating variants (PTVs) have previously been described in patients with polycystic liver disease and in some cases cystic kidney disease. Given a lack of well-controlled studies, we determined whether individuals heterozygous for ALG8 PTVs are at increased risk of cystic kidney disease in a large, unselected health system-based observational cohort linked to electronic health records in Pennsylvania (Geisinger-Regeneron DiscovEHR MyCode study). Out of 174,172 patients, 236 were identified with ALG8 PTVs. Using ICD-based outcomes, patients with these variants were significantly at increased risk of having any kidney/liver cyst diagnosis (Odds Ratio 2.42, 95% confidence interval: 1.53-3.85), cystic kidney disease (3.03, 1.26-7.31), and nephrolithiasis (1.89, 1.96-2.97). To confirm this finding, blinded radiology review of computed tomography and magnetic resonance imaging studies was completed in a matched cohort of 52 thirty-plus year old ALG8 PTV heterozygotes and related non-heterozygotes. ALG8 PTV heterozygotes were significantly more likely to have cystic kidney disease, defined as four or more kidney cysts (57.7% vs. 7.7%), or bilateral kidney cysts (69.2% vs. 15.4%), but not one or more liver cyst (11.5% vs. 7.7%). In publicly available UK Biobank data, ALG8 PTV heterozygotes were at significantly increased risk of ICD code N28 (other disorders of kidney/ureter) (3.85% vs. 1.33%). ALG8 PTVs were not associated with chronic kidney disease or kidney failure in the MyCode study or the UK Biobank data. Thus, PTVs in ALG8 result in increased risk of a mild cystic kidney disease phenotype.
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Affiliation(s)
- Benjamin Apple
- Department of Medicine, Geisinger Commonwealth School of Medicine, Scranton, Pennsylvania, USA
| | - Gino Sartori
- Department of Radiology, Geisinger, Danville, Pennsylvania, USA
| | - Bryn Moore
- Department of Genomic Health, Geisinger, Danville, Pennsylvania, USA
| | - Kiran Chintam
- Department of Nephrology, Geisinger, Danville, Pennsylvania, USA
| | - Gurmukteshwar Singh
- Department of Nephrology, Geisinger, Danville, Pennsylvania, USA; Center for Kidney Health Research, Department of Population Health Sciences, Geisinger, Danville, Pennsylvania, USA
| | - Prince Mohan Anand
- Department of Nephrology, Medical University of South Carolina, Lancaster, South Carolina, USA
| | - Natasha T Strande
- Department of Genomic Health, Geisinger, Danville, Pennsylvania, USA; Autism and Developmental Medicine Institute, Geisinger, Danville, Pennsylvania, USA
| | - Tooraj Mirshahi
- Department of Genomic Health, Geisinger, Danville, Pennsylvania, USA
| | - William Triffo
- Department of Radiology, Geisinger, Danville, Pennsylvania, USA
| | - Alexander R Chang
- Department of Nephrology, Geisinger, Danville, Pennsylvania, USA; Center for Kidney Health Research, Department of Population Health Sciences, Geisinger, Danville, Pennsylvania, USA.
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15
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Ali H, Naim M, Senum SR, AlSahow A, Bahbahani Y, Abu-Farha M, Abubaker J, Mohammad A, Al-Hunayan A, Asbeutah AM, Zayed M, Devarajan S, Hussain N, John SE, Channanath A, Thanaraj TA, Al-Ali M, AlMousawi M, Al-Mulla F, Harris PC. The genetic landscape of autosomal dominant polycystic kidney disease in Kuwait. Clin Kidney J 2023; 16:355-366. [PMID: 36755831 PMCID: PMC9900584 DOI: 10.1093/ckj/sfac236] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Indexed: 11/13/2022] Open
Abstract
Background Autosomal dominant polycystic kidney disease (ADPKD) is the most common renal monogenic disease, characterized by bilateral accumulation of renal fluid-filled cysts leading to progressive renal volume enlargement and gradual impairment of kidney function, often resulting in end-stage renal disease. Kuwait could provide valuable genetic insights about ADPKD, including intrafamilial phenotypic variation, given its large household size. This study aims to provide a comprehensive description of the pathogenic variants linked to ADPKD in the Kuwaiti population using multiple genetic analysis modalities and to describe and analyse the ADPKD phenotypic spectrum in terms of kidney function, kidney volume and renal survival. Methods A total of 126 ADPKD patients from 11 multiplex families and 25 singletons were recruited into the study. A combination of targeted next-generation sequencing (tNGS), long-range polymerase chain reaction, Sanger sequencing and multiplex ligation-dependent probe amplification were utilized for genetic diagnosis. Clinical evaluation was conducted through renal function testing and ultrasonographic kidney volume analysis. Results We identified 29 ADPKD pathogenic mutations from 36 families achieving an overall molecular genetic diagnostic rate of 112/126 (88.9%), including 29/36 (80.6%) in families. A total of 28/36 (77.8%) families had pathogenic mutations in PKD1, of which 17/28 (60.7%) were truncating, and 1/36 (2.8%) had a pathogenic variant in the IFT140 gene. A total of 20/29 (69%) of the identified ADPKD mutations were novel and described for the first time, including a TSC2-PKD1 contiguous syndrome. Clinical analysis indicated that genetically unresolved ADPKD cases had no apparent association between kidney volume and age. Conclusion We describe for the first time the genetic landscape of ADPKD in Kuwait. The observed genetic heterogeneity underlining ADPKD along with the wide phenotypic spectrum reveal the level of complexity in disease pathophysiology. ADPKD genetic testing could improve the care of patients through improved disease prognostication, guided treatment and genetic counselling. However, to fulfil the potential of genetic testing, it is important to overcome the hurdle of genetically unresolved ADPKD cases.
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Affiliation(s)
- Hamad Ali
- Department of Medical Laboratory Sciences, Faculty of Allied Health Sciences, Health Sciences Center, Kuwait University, Jabriya, Kuwait
- Department of Genetics and Bioinformatics, Dasman Diabetes Institute, Dasman, Kuwait
| | - Medhat Naim
- Division of Nephrology, Mubarak Al-Kabeer Hospital, Ministry of Health, Jabriya, Kuwait
| | - Sarah R Senum
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA
| | - Ali AlSahow
- Division of Nephrology, Al-Jahra Hospital, Ministry of Health, Al-Jahra, Kuwait
| | - Yousif Bahbahani
- Division of Nephrology, Mubarak Al-Kabeer Hospital, Ministry of Health, Jabriya, Kuwait
- Medical Division, Dasman Diabetes Institute, Dasman, Kuwait
| | - Mohamed Abu-Farha
- Department of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Dasman, Kuwait
| | - Jehad Abubaker
- Department of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Dasman, Kuwait
| | - Anwar Mohammad
- Department of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Dasman, Kuwait
| | - Adel Al-Hunayan
- Department of Surgery, Faculty of Medicine, Health Sciences Center, Kuwait University, Jabriya, Kuwait
| | - Akram M Asbeutah
- Department of Radiological Sciences, Faculty of Allied Health Sciences, Health Sciences Center, Kuwait University, Jabriya, Kuwait
| | - Mohamed Zayed
- Department of Radiology, Mubarak Al-Kabeer Hospital, Ministry of Health, Jabriya, Kuwait
| | - Sriraman Devarajan
- National Dasman Diabetes Biobank, Dasman Diabetes Institute, Dasman, Kuwait
| | - Naser Hussain
- Division of Nephrology, Mubarak Al-Kabeer Hospital, Ministry of Health, Jabriya, Kuwait
| | - Sumi Elsa John
- Department of Genetics and Bioinformatics, Dasman Diabetes Institute, Dasman, Kuwait
| | - Arshad Channanath
- Department of Genetics and Bioinformatics, Dasman Diabetes Institute, Dasman, Kuwait
| | | | - Mohammad Al-Ali
- Next Generation Sequencing Laboratory, Kuwait Medical Genetics Center, Ministry of Health, Sulaibikhat, Kuwait
| | - Mustafa AlMousawi
- Department of Transplantation, Hamed Al Essa Organ Transplant Centre, Ministry of Health, Kuwait City, Kuwait
| | - Fahd Al-Mulla
- Department of Genetics and Bioinformatics, Dasman Diabetes Institute, Dasman, Kuwait
| | - Peter C Harris
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA
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16
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Sierks D, Schönauer R, Friedrich A, Hantmann E, de Fallois J, Linder N, Fischer J, Herber A, Bergmann C, Berg T, Halbritter J. Modelling polycystic liver disease progression using age-adjusted liver volumes and targeted mutational analysis. JHEP Rep 2022; 4:100579. [PMID: 36246085 PMCID: PMC9563211 DOI: 10.1016/j.jhepr.2022.100579] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 08/18/2022] [Accepted: 08/22/2022] [Indexed: 11/16/2022] Open
Affiliation(s)
- Dana Sierks
- Division of Nephrology, Department of Internal Medicine, Leipzig University Medical Center, Leipzig, Germany
| | - Ria Schönauer
- Division of Nephrology and Internal Intensive Care Medicine, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Division of Nephrology, Department of Internal Medicine, Leipzig University Medical Center, Leipzig, Germany
| | - Anja Friedrich
- Medizinische Genetik Mainz, Limbach Genetics, Mainz, Germany
| | - Elena Hantmann
- Division of Nephrology and Internal Intensive Care Medicine, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Jonathan de Fallois
- Division of Nephrology, Department of Internal Medicine, Leipzig University Medical Center, Leipzig, Germany
| | - Nikolas Linder
- Department of Radiology, Leipzig University Medical Center, Germany
| | - Janett Fischer
- Division of Hepatology, Department of Medicine II, Leipzig University Medical Center, Germany
| | - Adam Herber
- Division of Hepatology, Department of Medicine II, Leipzig University Medical Center, Germany
| | | | - Thomas Berg
- Division of Hepatology, Department of Medicine II, Leipzig University Medical Center, Germany
- Corresponding authors. Address: Division of Hepatology, Clinic for Oncology, Gastroenterology, Hepatology, Infectious Diseases and Pneumology, Leipzig University Medical Center, Germany
| | - Jan Halbritter
- Division of Nephrology and Internal Intensive Care Medicine, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Division of Nephrology, Department of Internal Medicine, Leipzig University Medical Center, Leipzig, Germany
- Division of Nephrology and Internal Intensive Care Medicine, Charité Universitätsmedizin, Berlin, Germany.
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Claus LR, Snoek R, Knoers NVAM, van Eerde AM. Review of genetic testing in kidney disease patients: Diagnostic yield of single nucleotide variants and copy number variations evaluated across and within kidney phenotype groups. AMERICAN JOURNAL OF MEDICAL GENETICS. PART C, SEMINARS IN MEDICAL GENETICS 2022; 190:358-376. [PMID: 36161467 PMCID: PMC9828643 DOI: 10.1002/ajmg.c.31995] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 07/02/2022] [Accepted: 08/18/2022] [Indexed: 01/29/2023]
Abstract
Genetic kidney disease comprises a diverse group of disorders. These can roughly be divided in the phenotype groups congenital anomalies of the kidney and urinary tract, ciliopathies, glomerulopathies, stone disorders, tubulointerstitial kidney disease, and tubulopathies. Many etiologies can lead to chronic kidney disease that can progress to end-stage kidney disease. Despite each individual disease being rare, together these genetic disorders account for a large proportion of kidney disease cases. With the introduction of massively parallel sequencing, genetic testing has become more accessible, but a comprehensive analysis of the diagnostic yield is lacking. This review gives an overview of the diagnostic yield of genetic testing across and within the full range of kidney disease phenotypes through a systematic literature search that resulted in 115 included articles. Patient, test, and cohort characteristics that can influence the diagnostic yield are highlighted. Detection of copy number variations and their contribution to the diagnostic yield is described for all phenotype groups. Also, the impact of a genetic diagnosis for a patient and family members, which can be diagnostic, therapeutic, and prognostic, is shown through the included articles. This review will allow clinicians to estimate an a priori probability of finding a genetic cause for the kidney disease in their patients.
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Affiliation(s)
- Laura R. Claus
- Department of GeneticsUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Rozemarijn Snoek
- Department of GeneticsUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Nine V. A. M. Knoers
- Department of GeneticsUniversity Medical Center GroningenGroningenThe Netherlands
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18
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PKD2 founder mutation is the most common mutation of polycystic kidney disease in Taiwan. NPJ Genom Med 2022; 7:40. [PMID: 35778421 PMCID: PMC9249874 DOI: 10.1038/s41525-022-00309-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 06/09/2022] [Indexed: 11/09/2022] Open
Abstract
Autosomal Dominant polycystic kidney disease (ADPKD) is the most common inherited adult kidney disease. Although ADPKD is primarily caused by PKD1 and PKD2, the identification of several novel causative genes in recent years has revealed more complex genetic heterogeneity than previously thought. To study the disease-causing mutations of ADPKD, a total of 920 families were collected and their diagnoses were established via clinical and image studies by Taiwan PKD Consortium investigators. Amplicon-based library preparation with next-generation sequencing, variant calling, and bioinformatic analysis was used to identify disease-causing mutations in the cohort. Microsatellite analysis along with genotyping and haplotype analysis was performed in the PKD2 p.Arg803* family members. The age of mutation was calculated to estimate the time at which the mutation occurred or the founder arrived in Taiwan. Disease-causing mutations were identified in 634 families (68.9%) by detection of 364 PKD1, 239 PKD2, 18 PKHD1, 7 GANAB, and 6 ALG8 pathogenic variants. 162 families (17.6%) had likely causative but non-diagnostic variants of unknown significance (VUS). A single PKD2 p.Arg803* mutation was found in 17.8% (164/920) of the cohort in Taiwan. Microsatellite and array analysis showed that 80% of the PKD2 p.Arg803* families shared the same haplotype in a 250 kb region, indicating those families may originate from a common ancestor 300 years ago. Our findings provide a mutation landscape as well as evidence that a founder effect exists and has contributed to a major percentage of the ADPKD population in Taiwan.
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19
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Bergmann C. [Polycystic kidneys: Genetic testing and correct classification clinically and therapeutically of increasing significance]. Dtsch Med Wochenschr 2022; 147:710-717. [PMID: 35636423 DOI: 10.1055/a-1337-1828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Cystic kidney disease is a clinically and genetically diverse group of diseases, with more than 100 genes known to date. One in 500 is affected worldwide, mostly due to a malfunction of cilia. New genes have been identified recently for the most common form autosomal dominant polycystic kidney disease (ADPKD). Every fourth ADPKD patient is lacking a positive family history (mostly due to a de novo mutation); in these cases remaining family members can be relieved. Differentiation of entities just based on clinical and imaging data is often most challenging. However, an accurate classification is significant for the patient and family. Associated comorbidities and cross-organ complications can be detected early and targeted screening and monitoring can be facilitated. Relatives also benefit from an accurate and early diagnosis. Precise genetic counselling with indication of risks is only possible by knowing the concise disease genotype. Genetic diagnostics is becoming increasingly important in this context and in terms of risk stratification and drug-therapeutic options. The understanding of genotype-phenotype correlations has improved significantly in recent years. Wet and dry lab processes as well as the interpretation of genetic data for ADPKD require a high level of expertise. Differential diagnoses with mutations in other genes underlie patients with "ADPKD" or ADPKD-like phenotypes much more frequently than usually assumed. Due to the number and complexity of genes that need to be considered, a tailored NGS (Next Generation Sequencing) approach using a customized, well-balanced multi-gene panel is cost-effective and currently the method of choice. Differences in the quality of laboratories must be taken into account. With this, the genetic etiology and underlying mutation(s) can be found in most cases.
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20
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Goggolidou P, Richards T. The genetics of Autosomal Recessive Polycystic Kidney Disease (ARPKD). Biochim Biophys Acta Mol Basis Dis 2022; 1868:166348. [PMID: 35032595 DOI: 10.1016/j.bbadis.2022.166348] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Revised: 12/27/2021] [Accepted: 01/06/2022] [Indexed: 12/21/2022]
Abstract
ARPKD is a genetically inherited kidney disease that manifests by bilateral enlargement of cystic kidneys and liver fibrosis. It shows a range of severity, with 30% of individuals dying early on and the majority having good prognosis if they survive the first year of life. The reasons for this variability remain unclear. Two genes have been shown to cause ARPKD when mutated, PKHD1, mutations in which lead to most of ARPKD cases and DZIP1L, which is associated with moderate ARPKD. This mini review will explore the genetics of ARPKD and discuss potential genetic modifiers and phenocopies that could affect diagnosis.
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Affiliation(s)
- Paraskevi Goggolidou
- Faculty of Science and Engineering, University of Wolverhampton, Wulfruna Street, Wolverhampton WV1 1LY, UK.
| | - Taylor Richards
- Faculty of Science and Engineering, University of Wolverhampton, Wulfruna Street, Wolverhampton WV1 1LY, UK
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21
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Modarage K, Malik SA, Goggolidou P. Molecular Diagnostics of Ciliopathies and Insights Into Novel Developments in Diagnosing Rare Diseases. Br J Biomed Sci 2022; 79:10221. [PMID: 35996505 PMCID: PMC8915726 DOI: 10.3389/bjbs.2021.10221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 12/02/2021] [Indexed: 11/16/2022]
Abstract
The definition of a rare disease in the European Union describes genetic disorders that affect less than 1 in 2,000 people per individual disease; collectively these numbers amount to millions of individuals globally, who usually manifest a rare disease early on in life. At present, there are at least 8,000 known rare conditions, of which only some are clearly molecularly defined. Over the recent years, the use of genetic diagnosis is gaining ground into informing clinical practice, particularly in the field of rare diseases, where diagnosis is difficult. To demonstrate the complexity of genetic diagnosis for rare diseases, we focus on Ciliopathies as an example of a group of rare diseases where an accurate diagnosis has proven a challenge and novel practices driven by scientists are needed to help bridge the gap between clinical and molecular diagnosis. Current diagnostic difficulties lie with the vast multitude of genes associated with Ciliopathies and trouble in distinguishing between Ciliopathies presenting with similar phenotypes. Moreover, Ciliopathies such as Autosomal Recessive Polycystic Kidney Disease (ARPKD) and Meckel-Gruber syndrome (MKS) present with early phenotypes and may require the analysis of samples from foetuses with a suspected Ciliopathy. Advancements in Next Generation Sequencing (NGS) have now enabled assessing a larger number of target genes, to ensure an accurate diagnosis. The aim of this review is to provide an overview of current diagnostic techniques relevant to Ciliopathies and discuss the applications and limitations associated with these techniques.
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22
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Senum SR, Li Y(SM, Benson KA, Joli G, Olinger E, Lavu S, Madsen CD, Gregory AV, Neatu R, Kline TL, Audrézet MP, Outeda P, Nau CB, Meijer E, Ali H, Steinman TI, Mrug M, Phelan PJ, Watnick TJ, Peters DJ, Ong AC, Conlon PJ, Perrone RD, Cornec-Le Gall E, Hogan MC, Torres VE, Sayer JA, Harris PC, Harris PC. Monoallelic IFT140 pathogenic variants are an important cause of the autosomal dominant polycystic kidney-spectrum phenotype. Am J Hum Genet 2022; 109:136-156. [PMID: 34890546 DOI: 10.1016/j.ajhg.2021.11.016] [Citation(s) in RCA: 60] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 11/15/2021] [Indexed: 12/18/2022] Open
Abstract
Autosomal dominant polycystic kidney disease (ADPKD), characterized by progressive cyst formation/expansion, results in enlarged kidneys and often end stage kidney disease. ADPKD is genetically heterogeneous; PKD1 and PKD2 are the common loci (∼78% and ∼15% of families) and GANAB, DNAJB11, and ALG9 are minor genes. PKD is a ciliary-associated disease, a ciliopathy, and many syndromic ciliopathies have a PKD phenotype. In a multi-cohort/-site collaboration, we screened ADPKD-diagnosed families that were naive to genetic testing (n = 834) or for whom no PKD1 and PKD2 pathogenic variants had been identified (n = 381) with a PKD targeted next-generation sequencing panel (tNGS; n = 1,186) or whole-exome sequencing (WES; n = 29). We identified monoallelic IFT140 loss-of-function (LoF) variants in 12 multiplex families and 26 singletons (1.9% of naive families). IFT140 is a core component of the intraflagellar transport-complex A, responsible for retrograde ciliary trafficking and ciliary entry of membrane proteins; bi-allelic IFT140 variants cause the syndromic ciliopathy, short-rib thoracic dysplasia (SRTD9). The distinctive monoallelic phenotype is mild PKD with large cysts, limited kidney insufficiency, and few liver cysts. Analyses of the cystic kidney disease probands of Genomics England 100K showed that 2.1% had IFT140 LoF variants. Analysis of the UK Biobank cystic kidney disease group showed probands with IFT140 LoF variants as the third most common group, after PKD1 and PKD2. The proximity of IFT140 to PKD1 (∼0.5 Mb) in 16p13.3 can cause diagnostic confusion, and PKD1 variants could modify the IFT140 phenotype. Importantly, our studies link a ciliary structural protein to the ADPKD spectrum.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Peter C Harris
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN 55905, USA.
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Pisani I, Allinovi M, Palazzo V, Zanelli P, Gentile M, Farina MT, Giuliotti S, Cravedi P, Delsante M, Maggiore U, Fiaccadori E, Manenti L. OUP accepted manuscript. Clin Kidney J 2022; 15:1179-1187. [PMID: 35664268 PMCID: PMC9155219 DOI: 10.1093/ckj/sfac032] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Indexed: 11/15/2022] Open
Abstract
Background Methods Results Conclusions
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Affiliation(s)
- Isabella Pisani
- Unità Operativa Nefrologia, Azienda-Ospedaliero Universitaria di Parma & Dipartimento di Medicina e Chirurgia, Università di Parma, Parma, Italy
| | - Marco Allinovi
- Nephrology, Dialysis and Transplantation Unit, Careggi University Hospital, Florence, Italy
| | - Viviana Palazzo
- Medical Genetics Unit, Meyer Children's University Hospital, Florence, Italy
| | - Paola Zanelli
- Unità di Immunogenetica dei Trapianti, Azienda-Ospedaliero Universitaria di Parma, Parma, Italy
| | - Micaela Gentile
- Unità Operativa Nefrologia, Azienda-Ospedaliero Universitaria di Parma & Dipartimento di Medicina e Chirurgia, Università di Parma, Parma, Italy
| | - Maria Teresa Farina
- Unità Operativa Nefrologia, Azienda-Ospedaliero Universitaria di Parma & Dipartimento di Medicina e Chirurgia, Università di Parma, Parma, Italy
| | - Sara Giuliotti
- Unità Operativa Radiologia, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
| | - Paolo Cravedi
- Department of Medicine, Renal Division, Icahn School of Medicine at Mount Sinai, NY, USA
| | - Marco Delsante
- Unità Operativa Nefrologia, Azienda-Ospedaliero Universitaria di Parma & Dipartimento di Medicina e Chirurgia, Università di Parma, Parma, Italy
| | - Umberto Maggiore
- Unità Operativa Nefrologia, Azienda-Ospedaliero Universitaria di Parma & Dipartimento di Medicina e Chirurgia, Università di Parma, Parma, Italy
| | - Enrico Fiaccadori
- Unità Operativa Nefrologia, Azienda-Ospedaliero Universitaria di Parma & Dipartimento di Medicina e Chirurgia, Università di Parma, Parma, Italy
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Elliott MD, James LC, Simms EL, Sharma P, Girard LP, Cheema K, Elliott MJ, Lauzon JL, Chun J. Mainstreaming Genetic Testing for Adult Patients With Autosomal Dominant Polycystic Kidney Disease. Can J Kidney Health Dis 2021; 8:20543581211055001. [PMID: 34733539 PMCID: PMC8558595 DOI: 10.1177/20543581211055001] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 08/28/2021] [Indexed: 12/17/2022] Open
Abstract
PURPOSE Genetic testing results are currently obtained approximately 1 year after referral to a medical genetics team for autosomal dominant polycystic kidney disease (ADPKD). We evaluated a mainstream genetic testing (MGT) pathway whereby the nephrology team provided pre-test counseling and selection of patients with suspected ADPKD for genetic testing prior to direct patient interaction by a medical geneticist. SOURCES OF INFORMATION A multidisciplinary team of nephrologists, genetic counselors, and medical geneticists developed an MGT pathway for ADPKD using current testing criteria for adult patient with suspected ADPKD and literature from MGT in oncology. METHODS An MGT pathway was assessed using a prospective cohort and compared to a retrospective cohort of 56 patients with ADPKD who received genetic testing using the standard, traditional pathway prior to implementing the MGT for ADPKD. The mainstream pathway was evaluated using time to diagnosis, diagnostic yield, and a patient survey to assess patient perceptions of the MGT pathway. KEY FINDINGS We assessed 26 patients with ADPKD using the MGT and 18 underwent genetic testing with return of results. Of them, 52 patients had data available for analysis in the traditional control cohort. The time for return of results using our MGT pathway was significantly shorter with a median time to results of 6 months compared to 12 months for the traditional pathway. We identified causative variants in 61% of patients, variants of uncertain significance in 28%, and 10% had negative testing which is in line with expectations from the literature. The patient surveys showed high satisfaction rates with the MGT pathway. LIMITATIONS This report is an evaluation of a new genetic testing pathway restricted to a single, publicly funded health care center. The MGT pathway involved a prospective collection of a limited number of patients with ADPKD with comparison to a retrospective cohort of patients with ADPKD evaluated by standard testing. IMPLICATIONS A MGT pathway using clearly defined criteria and commercially available gene panels for ADPKD can be successfully implemented in a publicly funded health care system to reduce the time required to obtain genetic results.
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Affiliation(s)
- Mark D. Elliott
- Department of Medicine, Cumming School of Medicine, University of Calgary, AB, Canada
| | - Leslie C. James
- Department of Medical Genetics, Alberta Children’s Hospital Research Institute, University of Calgary, AB, Canada
| | - Emily L. Simms
- Department of Medicine, Cumming School of Medicine, University of Calgary, AB, Canada
| | - Priyana Sharma
- Department of Medical Genetics, Alberta Children’s Hospital Research Institute, University of Calgary, AB, Canada
| | - Louis P. Girard
- Department of Medicine, Cumming School of Medicine, University of Calgary, AB, Canada
| | - Kim Cheema
- Department of Medicine, Cumming School of Medicine, University of Calgary, AB, Canada
| | - Meghan J. Elliott
- Department of Medicine, Cumming School of Medicine, University of Calgary, AB, Canada
| | - Julie L. Lauzon
- Department of Medical Genetics, Alberta Children’s Hospital Research Institute, University of Calgary, AB, Canada
- Department of Medical Genetics, Cumming School of Medicine, University of Calgary, AB, Canada
| | - Justin Chun
- Department of Medicine, Cumming School of Medicine, University of Calgary, AB, Canada
- Snyder Institute for Chronic Diseases, University of Calgary, AB, Canada
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25
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de Fallois J, Schönauer R, Münch J, Nagel M, Popp B, Halbritter J. Challenging Disease Ontology by Instances of Atypical PKHD1 and PKD1 Genetics. Front Genet 2021; 12:682565. [PMID: 34249099 PMCID: PMC8267867 DOI: 10.3389/fgene.2021.682565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 05/05/2021] [Indexed: 12/03/2022] Open
Abstract
Background Autosomal polycystic kidney disease is distinguished into dominant (ADPKD) and recessive (ARPKD) inheritance usually caused by either monoallelic (PKD1/PKD2) or biallelic (PKHD1) germline variation. Clinical presentations are genotype-dependent ranging from fetal demise to mild chronic kidney disease (CKD) in adults. Additionally, exemptions from dominant and recessive inheritance have been reported in both disorders resulting in respective phenocopies. Here, we comparatively report three young adults with microcystic-hyperechogenic kidney morphology based on unexpected genetic alterations beyond typical inheritance. Methods Next-generation sequencing (NGS)-based gene panel analysis and multiplex ligation-dependent probe amplification (MLPA) of PKD-associated genes, familial segregation analysis, and reverse phenotyping. Results Three unrelated individuals presented in late adolescence for differential diagnosis of incidental microcystic-hyperechogenic kidneys with preserved kidney and liver function. Upon genetic analysis, we identified a homozygous hypomorphic PKHD1 missense variant causing pseudodominant inheritance in a family, a large monoallelic PKDH1-deletion with atypical transmission, and biallelic PKD1 missense hypomorphs with recessive inheritance. Conclusion By this report, we illustrate clinical presentations associated with atypical PKD-gene alterations beyond traditional modes of inheritance. Large monoallelic PKHD1-alterations as well as biallelic hypomorphs of both PKD1 and PKHD1 may lead to mild CKD in the absence of prominent macrocyst formation and functional liver impairment. The long-term renal prognosis throughout life, however, remains undetermined. Increased detection of atypical inheritance challenges our current thinking of disease ontology not only in PKD but also in Mendelian disorders in general.
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Affiliation(s)
- Jonathan de Fallois
- Department of Endocrinology, Nephrology and Rheumatology, University of Leipzig Medical Center, Leipzig, Germany
| | - Ria Schönauer
- Department of Endocrinology, Nephrology and Rheumatology, University of Leipzig Medical Center, Leipzig, Germany
| | - Johannes Münch
- Department of Endocrinology, Nephrology and Rheumatology, University of Leipzig Medical Center, Leipzig, Germany
| | - Mato Nagel
- Center for Nephrology and Metabolic Disorders, Weißwasser, Germany
| | - Bernt Popp
- Institute of Human Genetics, University of Leipzig Medical Center, Leipzig, Germany
| | - Jan Halbritter
- Department of Endocrinology, Nephrology and Rheumatology, University of Leipzig Medical Center, Leipzig, Germany
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26
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Hu H, Zhang J, Qiu W, Liang C, Li C, Wei T, Feng Z, Guo Q, Yang K, Liu Z. Comprehensive strategy improves the genetic diagnosis of different polycystic kidney diseases. J Cell Mol Med 2021; 25:6318-6332. [PMID: 34032358 PMCID: PMC8256360 DOI: 10.1111/jcmm.16608] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Accepted: 04/26/2021] [Indexed: 12/16/2022] Open
Abstract
Polycystic kidney disease (PKD) is known to occur in three main forms, namely autosomal dominant PKD (ADPKD), autosomal recessive PKD (ARPKD) and syndromic PKD (SPKD), based on the clinical manifestations and genetic causes, which are diagnosable from the embryo stage to the later stages of life. Selection of the genetic test for the individuals with diagnostic imaging reports of cystic kidneys without a family history of the disease continues to be a challenge in clinical practice. With the objective of maintaining a limit on the time and medical cost of the procedure, a practical strategy for genotyping and targeted validation to resolve cystogene variations was developed in our clinical laboratory, which combined the techniques of whole-exome sequencing (WES), Long-range PCR (LR-PCR), Sanger sequencing and multiplex ligation-dependent probe amplification (MLPA) to work in a stepwise approach. In this context, twenty-six families with renal polycystic disorders were enrolled in the present study. Thirty-two variants involving four ciliary genes (PKD1, PKHD1, TMEM67 and TMEM107) were identified and verified in 23 families (88.5%, 23/26), which expanded the variant spectrum by 16 novel variants. Pathogenic variations in five foetuses of six families diagnosed with PKD were identified using prenatal ultrasound imaging. Constitutional biallelic and digenic variations constituted the pathogenic patterns in these foetuses. The preliminary clinical data highlighted that the WES + LR PCR-based workflow followed in the present study is efficient in detecting divergent variations in PKD. The biallelic and digenic mutations were revealed as the main pathogenic patterns in the foetuses with PKD.
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Affiliation(s)
- Hua‐Ying Hu
- Department of OphthalmologyXiang'an Hospital of Xiamen UniversityFujian Provincial Key Laboratory of Ophthalmology and Visual ScienceSchool of Medicine, Xiamen UniversityFujian Engineering and Research Center of Eye Regenerative MedicineEye Institute of Xiamen UniversityXiamenChina
- Jiaen Genetics LaboratoryBeijing Jiaen HospitalBeijingChina
| | - Jing Zhang
- Prenatal Diagnosis CenterShijiazhuang Obstetrics and Gynecology HospitalHebeiChina
| | - Wei Qiu
- Department of UrologyBeijing Friendship HospitalCapital Medical UniversityBeijingChina
| | - Chao Liang
- Department of Pediatric OrthopedicsShijiazhuang Obstetrics and Gynecology HospitalHebeiChina
| | - Cun‐Xi Li
- Jiaen Genetics LaboratoryBeijing Jiaen HospitalBeijingChina
| | - Tian‐Ying Wei
- Jiaen Genetics LaboratoryBeijing Jiaen HospitalBeijingChina
| | - Zhan‐Ke Feng
- Jiaen Genetics LaboratoryBeijing Jiaen HospitalBeijingChina
| | - Qing Guo
- Prenatal Diagnosis CenterShijiazhuang Obstetrics and Gynecology HospitalHebeiChina
| | - Kai Yang
- Prenatal Diagnosis CenterBeijing Obstetrics and Gynecology Hospital, Capital Medical UniversityBeijingChina
| | - Zu‐Guo Liu
- Department of OphthalmologyXiang'an Hospital of Xiamen UniversityFujian Provincial Key Laboratory of Ophthalmology and Visual ScienceSchool of Medicine, Xiamen UniversityFujian Engineering and Research Center of Eye Regenerative MedicineEye Institute of Xiamen UniversityXiamenChina
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27
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Nephroplex: a kidney-focused NGS panel highlights the challenges of PKD1 sequencing and identifies a founder BBS4 mutation. J Nephrol 2021; 34:1855-1874. [PMID: 33964006 PMCID: PMC8610957 DOI: 10.1007/s40620-021-01048-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Accepted: 04/04/2021] [Indexed: 12/02/2022]
Abstract
Background Genetic testing of patients with inherited kidney diseases has emerged as a tool of clinical utility by improving the patients’ diagnosis, prognosis, surveillance and therapy. Methods The present study applied a Next Generation Sequencing (NGS)-based panel, named NephroPlex, testing 115 genes causing renal diseases, to 119 individuals, including 107 probands and 12 relatives. Thirty-five (poly)cystic and 72 non (poly)cystic individuals were enrolled. The latter subgroup of patients included Bardet-Biedl syndrome (BBS) patients, as major components. Results Disease-causing mutations were identified in 51.5 and 40% of polycystic and non-polycystic individuals, respectively. Autosomal dominant polycystic kidney disease (ADPKD) patients with truncating PKD1 variants showed a trend towards a greater slope of the age-estimated glomerular filtration rate (eGFR) regression line than patients with (i) missense variants, (ii) any PKD2 mutations and (iii) no detected mutations, according to previous findings. The analysis of BBS individuals showed a similar frequency of BBS4,9,10 and 12 mutations. Of note, all BBS4-mutated patients harbored the novel c.332+1G>GTT variant, which was absent in public databases, however, in our internal database, an additional heterozygote carrier was found. All BBS4-mutated individuals originated from the same geographical area encompassing the coastal provinces of Naples. Discussion In conclusion, these findings indicate the potential for a genetic panel to provide useful information at both clinical and epidemiological levels. Graphic abstract ![]()
Supplementary Information The online version contains supplementary material available at 10.1007/s40620-021-01048-4.
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Boerrigter MM, Bongers EMHF, Lugtenberg D, Nevens F, Drenth JPH. Polycystic liver disease genes: Practical considerations for genetic testing. Eur J Med Genet 2021; 64:104160. [PMID: 33556586 DOI: 10.1016/j.ejmg.2021.104160] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 01/26/2021] [Accepted: 01/31/2021] [Indexed: 12/15/2022]
Abstract
The development of a polycystic liver is a characteristic of the monogenic disorders: autosomal dominant polycystic kidney disease (ADPKD), autosomal recessive polycystic kidney disease (ARPKD), and autosomal dominant polycystic liver disease (ADPLD). Respectively two and one genes mainly cause ADPKD and ARPKD. In contrast, ADPLD is caused by at least six different genes which combined do not even explain the disease development in over half of the ADPLD population. Genetic testing is mainly performed to confirm the likelihood of developing PKD and if renal therapy is essential. However, pure ADPLD patients are frequently not genetically screened as knowledge about the genotype-phenotype correlation is currently limited. This paper will clarify the essence of genetic testing in ADPLD patients.
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Affiliation(s)
- Melissa M Boerrigter
- Department of Gastroenterology and Hepatology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Ernie M H F Bongers
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Dorien Lugtenberg
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Frederik Nevens
- Department of Gastroenterology and Hepatology, University Hospitals KU Leuven, Leuven, Belgium
| | - Joost P H Drenth
- Department of Gastroenterology and Hepatology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands.
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