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Implementation of a Diagnostic Workflow for Personalized Diagnosis of Nephrotic Syndrome

Implementation of a Diagnostic Workflow for Personalized Diagnosis of Nephrotic Syndrome

Status
Recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06325098
Enrollment
150
Registered
2024-03-22
Start date
2022-01-26
Completion date
2026-06-30
Last updated
2024-03-22

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Nephrotic Syndrome

Brief summary

Nephrotic syndrome (NS) is a clinical picture common to several diseases resulting from damage to podocytes and glomerular filtration barrier. Currently, there is limited consensus regarding the diagnostic pathway and management of the specific etiology. Some patients show complete response to first-line steroid therapy (steroid-sensitive nephrotic syndrome, SSNS), especially in children and young adults. The prognosis of this group is generally favorable. In contrast, patients unresponsive to steroids (steroid-resistant NS, SRNS) frequently undergo immunosuppressive therapies, which are burdened with numerous side effects. Resistance to treatment is associated with a high likelihood of progression to chronic renal disease (CKD) and kidney failure (ESKD). Recent evidence suggests that immunological mechanisms (including permeabilizing factors) are involved in the pathogenesis of post-transplant NS recurrence and SSNS. Providing patients with NS with a correct diagnosis is the cornerstone of personalized medicine, reducing morbidity and side effects of therapies, ensuring their appropriate prescription, and slowing or preventing progression to ESKD.

Interventions

DIAGNOSTIC_TESTAnti-nephrin antibodies

Assessment of anti-nephrin antibodies on serum samples and in vitro study of permeabilizing effect on 3D organ-on-a-chip models and STED microscopy on healthy human kidneys.

DIAGNOSTIC_TESTu-RPC cultures

Urine sample collection for u-RPC cultures

Sponsors

Meyer Children's Hospital IRCCS
Lead SponsorOTHER

Study design

Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
DIAGNOSTIC
Masking
NONE

Intervention model description

Patients with nephrotic syndrome (SSNS, SRNS)

Eligibility

Sex/Gender
ALL
Age
1 Months to 40 Years
Healthy volunteers
No

Inclusion criteria

* Clinical diagnosis of NS (SSNS, SRNS, or NS relapsed after transplantation regardless of initial response to steroid therapy) * Age below 40 years at disease onset * Availability of clinical information * Signed informed consent form

Exclusion criteria

* Age at onset above 40 years * Kidney biopsy proving lesions other than FSGS and MCD

Design outcomes

Primary

MeasureTime frameDescription
Role of anti-nephrin antibodies in the pathogenesis of NSFrom enrollment until the last patient visit (up to 12 months from enrollment)The presence of circulating permeabilizing factors, including anti-nephrin antibodies, will be evaluated in serum samples of patients with NS and/or kidney transplant recipients with NS recurrence. The results will be correlated with the clinical history of disease in order to understand the disease pathomechanisms and the risk of recurrence.

Secondary

MeasureTime frameDescription
Functional role of VUS in the pathogenesis of SRNSFrom enrollment until the last patient last visit (up to 12 months from enrollment)The functional role of VUS identified by WES will be assessed by in vitro studies on u-RPCs and 3D organ-on-a-chip models. The results will be expressed as diagnostic rate, i.e., number of conclusive diagnosis allowed by functional studies of VUS/number of patients enrolled in the study.
Identification of potential predictive biomarkers of renal outcome.From enrollment until the last patient visit (up to 12 months from enrollment)The identification of potential biomarkers of disease progression and kidney failure will be performed by gene expression by scRNA-seq of u-RPCs. The results will be correlated to clinical data.
Cost-effectiveness analysisFrom enrollment of the last patient until the last visit (up to 12 months from enrollment)A modeled cost-effectiveness analysis (including direct and indirect medical costs) will be performed to compare the proposed diagnostic algorithm with the current standard-of-care.

Countries

Italy

Contacts

Primary ContactPaola Romagnani, Prof, MD, PhD
paola.romagnani@meyer.it055 5662562

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026