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Set-up of a Platform for Personalized Diagnosis of Rare Kidney Diseases (NIKE)

M

Meyer Children's Hospital IRCCS

Status

Active, not recruiting

Conditions

Chronic Kidney Diseases

Treatments

Diagnostic Test: Conclusive genetic testing
Diagnostic Test: Genotype-phenotype correlation for personalized diagnosis
Diagnostic Test: Personalized study of variants of uncertain clinical significance (VUS) through functional studies on 3D organ-on-a-chip

Study type

Interventional

Funder types

Other

Identifiers

Details and patient eligibility

About

Chronic kidney disease (CKD) is a major health problem, with steadily increasing incidence and prevalence and the threat of a true "epidemic". Converging evidence suggests a high prevalence of genetic etiology in rare kidney diseases and the list of new disease-causing genes is constantly updated. Recent advances in next-generation sequencing (NGS) technologies have prompted a significant improvement in the diagnosis of rare kidney diseases. Notwithstanding this, NGS generates high numbers of information that need to be properly analysed by the joint efforts of geneticists, nephrologists and bioinformatics in order to integrate clinical and genetic information in a personalized manner. In addition, in selected cases, the contribution of researchers proves essential for the development of experimental models of the disease to study and understand the pathogenic features and propose a personalized therapeutic approach. Such an innovative, integrated diagnostic paradigm is currently available in few centers all over the world and cannot be easily translated in daily clinical practice.

The aim of the study is to set-up an integrated diagnostic algorithm to extend the newest personalized diagnostic and treatment strategies for rare kidney diseases to all patients in the Tuscany region, under 40 years of age with kidney disease. This algorithm will be based on a constant cross-talk between participating centers and a dedicated multidisciplinary team. Diagnostic and therapeutic performances will be validated at European level.

Enrollment

160 estimated patients

Sex

All

Ages

Under 40 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • family history of kidney disease and/or parental consanguinity;
  • extra-renal involvement (e.g., sensorineural hearing loss);
  • resistance to treatment (e.g., immunosuppressive);
  • metabolic acidosis or metabolic alkalosis in the absence of renal failure;
  • ultrasound detection of of at least 2 cystic lesions in each kidney or nephrocalcinosis;
  • ultrasound detection of congenital abnormalities of the kidney and urinary tract (CAKUT) and CKD stage ≥ 2 according to KDIGO definition
  • informed consent form.

Exclusion criteria

  • age > 40
  • refuse to participate to the study

Trial design

Primary purpose

Diagnostic

Allocation

Non-Randomized

Interventional model

Parallel Assignment

Masking

None (Open label)

160 participants in 3 patient groups

Pathogenic variants
Experimental group
Description:
Variants fitting bioinformatic prioritization criteria for pathogenicity according to ACMG guidelines and the clinical phenotype, and variants already reported in the literature will be defined as pathogenic variants
Treatment:
Diagnostic Test: Conclusive genetic testing
Potentially Pathogenic Variants
Experimental group
Description:
Variants fitting bioinformatic prioritization criteria but apparently do not correlate with the clinical phenotype and have not been previously reported in the literature will be defined as potentially pathogenic variants
Treatment:
Diagnostic Test: Genotype-phenotype correlation for personalized diagnosis
Variants of Unknown Significance (VUS)
Experimental group
Description:
Variants fitting the phenotype but not fitting bioinformatic prioritization criteria will be defined as variants of uncertain clinical significance (VUS)
Treatment:
Diagnostic Test: Personalized study of variants of uncertain clinical significance (VUS) through functional studies on 3D organ-on-a-chip

Trial contacts and locations

4

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Data sourced from clinicaltrials.gov

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