Gaucher’s disease type 1 (GD1) leads to significant morbidity and mortality through clinical manifestations, such as splenomegaly, hematological complications, and bone disease. Two types of therapies are currently approved for GD1: enzyme replacement therapy (ERT), and substrate reduction therapy (SRT). In this study, we have developed a quantitative systems pharmacology (QSP) model, which recapitulates the effects of eliglustat, the only first-line SRT approved for GD1, on treatment-naïve or patients with ERT-stabilized adult GD1. This multiscale model represents the mechanism of action of eliglustat that leads toward reduction of spleen volume. Model capabilities were illustrated through the application of the model to predict ERT and eliglustat responses in virtual populations of adult patients with GD1, representing patients across a spectrum of disease severity as defined by genotype-phenotype relationships. In summary, the QSP model provides a mechanistic computational platform for predicting treatment response via different modalities within the heterogeneous GD1 patient population.

A Quantitative Systems Pharmacology Model of Gaucher Disease Type 1 Provides Mechanistic Insight Into the Response to Substrate Reduction Therapy With Eliglustat / Abrams, Ruth; Kaddi, Chanchala D.; Tao, Mengdi; Leiser, Randolph J.; Simoni, Giulia; Reali, Federico; Tolsma, John; Jasper, Paul; Rijn, Zachary; Li, Jing; Niesner, Bradley; Barrett, Jeffrey S.; Marchetti, Luca; Peterschmitt, M. Judith; Azer, Karim; Neves‐zaph, Susana. - In: CPT: PHARMACOMETRICS & SYSTEMS PHARMACOLOGY. - ISSN 2163-8306. - STAMPA. - 9:7(2020), pp. 374-383. [10.1002/psp4.12506]

A Quantitative Systems Pharmacology Model of Gaucher Disease Type 1 Provides Mechanistic Insight Into the Response to Substrate Reduction Therapy With Eliglustat

Simoni, Giulia;Reali, Federico;Marchetti, Luca;
2020-01-01

Abstract

Gaucher’s disease type 1 (GD1) leads to significant morbidity and mortality through clinical manifestations, such as splenomegaly, hematological complications, and bone disease. Two types of therapies are currently approved for GD1: enzyme replacement therapy (ERT), and substrate reduction therapy (SRT). In this study, we have developed a quantitative systems pharmacology (QSP) model, which recapitulates the effects of eliglustat, the only first-line SRT approved for GD1, on treatment-naïve or patients with ERT-stabilized adult GD1. This multiscale model represents the mechanism of action of eliglustat that leads toward reduction of spleen volume. Model capabilities were illustrated through the application of the model to predict ERT and eliglustat responses in virtual populations of adult patients with GD1, representing patients across a spectrum of disease severity as defined by genotype-phenotype relationships. In summary, the QSP model provides a mechanistic computational platform for predicting treatment response via different modalities within the heterogeneous GD1 patient population.
2020
7
Abrams, Ruth; Kaddi, Chanchala D.; Tao, Mengdi; Leiser, Randolph J.; Simoni, Giulia; Reali, Federico; Tolsma, John; Jasper, Paul; Rijn, Zachary; Li, J...espandi
A Quantitative Systems Pharmacology Model of Gaucher Disease Type 1 Provides Mechanistic Insight Into the Response to Substrate Reduction Therapy With Eliglustat / Abrams, Ruth; Kaddi, Chanchala D.; Tao, Mengdi; Leiser, Randolph J.; Simoni, Giulia; Reali, Federico; Tolsma, John; Jasper, Paul; Rijn, Zachary; Li, Jing; Niesner, Bradley; Barrett, Jeffrey S.; Marchetti, Luca; Peterschmitt, M. Judith; Azer, Karim; Neves‐zaph, Susana. - In: CPT: PHARMACOMETRICS & SYSTEMS PHARMACOLOGY. - ISSN 2163-8306. - STAMPA. - 9:7(2020), pp. 374-383. [10.1002/psp4.12506]
File in questo prodotto:
File Dimensione Formato  
AbramsEtAl_CPT_Gaucher.pdf

accesso aperto

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Creative commons
Dimensione 1.26 MB
Formato Adobe PDF
1.26 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/286883
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 18
  • ???jsp.display-item.citation.isi??? 16
  • OpenAlex ND
social impact