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Rationale and design of the Nephrotic Syndrome Study Network (NEPTUNE) Match in glomerular diseases: designing the right trial for the right patient, today.
Trachtman, Howard; Desmond, Hailey; Williams, Amanda L; Mariani, Laura H; Eddy, Sean; Ju, Wenjun; Barisoni, Laura; Ascani, Heather K; Uhlmann, Wendy R; Spino, Cathie; Holzman, Lawrence B; Sedor, John R; Gadegbeku, Crystal; Subramanian, Lalita; Lienczewski, Chrysta C; Manieri, Tina; Roberts, Scott J; Gipson, Debbie S; Kretzler, Matthias.
Afiliação
  • Trachtman H; Division of Nephrology, Department of Pediatrics, University of Michigan, Ann Arbor, Michigan, USA.
  • Desmond H; Division of Nephrology, Department of Pediatrics, University of Michigan, Ann Arbor, Michigan, USA.
  • Williams AL; Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
  • Mariani LH; Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
  • Eddy S; Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
  • Ju W; Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA.
  • Barisoni L; Department of Pathology and Medicine, Duke University, Durham, North Carolina, USA.
  • Ascani HK; Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
  • Uhlmann WR; Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA; Department of Human Genetics, University of Michigan, Ann Arbor, Michigan, USA.
  • Spino C; Statistical Analysis, Biomedical and Educational Research Unit, University of Michigan, Ann Arbor, Michigan, USA.
  • Holzman LB; Renal-Electrolyte and Hypertension Division, Department of Internal Medicine, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA.
  • Sedor JR; Department of Kidney Medicine, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio, USA; Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.
  • Gadegbeku C; Department of Kidney Medicine, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio, USA.
  • Subramanian L; Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
  • Lienczewski CC; Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
  • Manieri T; Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
  • Roberts SJ; Department of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
  • Gipson DS; Division of Nephrology, Department of Pediatrics, University of Michigan, Ann Arbor, Michigan, USA.
  • Kretzler M; Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA. Electronic address: kretzler@umich.edu.
Kidney Int ; 105(2): 218-230, 2024 Feb.
Article em En | MEDLINE | ID: mdl-38245210
ABSTRACT
Glomerular diseases are classified using a descriptive taxonomy that is not reflective of the heterogeneous underlying molecular drivers. This limits not only diagnostic and therapeutic patient management, but also impacts clinical trials evaluating targeted interventions. The Nephrotic Syndrome Study Network (NEPTUNE) is poised to address these challenges. The study has enrolled >850 pediatric and adult patients with proteinuric glomerular diseases who have contributed to deep clinical, histologic, genetic, and molecular profiles linked to long-term outcomes. The NEPTUNE Knowledge Network, comprising combined, multiscalar data sets, captures each participant's molecular disease processes at the time of kidney biopsy. In this editorial, we describe the design and implementation of NEPTUNE Match, which bridges a basic science discovery pipeline with targeted clinical trials. Noninvasive biomarkers have been developed for real-time pathway analyses. A Molecular Nephrology Board reviews the pathway maps together with clinical, laboratory, and histopathologic data assembled for each patient to compile a Match report that estimates the fit between the specific molecular disease pathway(s) identified in an individual patient and proposed clinical trials. The NEPTUNE Match report is communicated using established protocols to the patient and the attending nephrologist for use in their selection of available clinical trials. NEPTUNE Match represents the first application of precision medicine in nephrology with the aim of developing targeted therapies and providing the right medication for each patient with primary glomerular disease.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Nefropatias / Síndrome Nefrótica Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Limite: Adult / Child / Humans Idioma: En Revista: Kidney Int Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Nefropatias / Síndrome Nefrótica Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Limite: Adult / Child / Humans Idioma: En Revista: Kidney Int Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos