Paediatric clinical study of 3D printed personalised medicines for rare metabolic disorders.

Additive manufacturing of drug products Patient acceptability of formulations Pediatrics Polypills Precision pharmaceuticals Semi-solid extrusion 3D printing

Journal

International journal of pharmaceutics
ISSN: 1873-3476
Titre abrégé: Int J Pharm
Pays: Netherlands
ID NLM: 7804127

Informations de publication

Date de publication:
19 Apr 2024
Historique:
received: 08 03 2024
revised: 17 04 2024
accepted: 18 04 2024
medline: 22 4 2024
pubmed: 22 4 2024
entrez: 21 4 2024
Statut: aheadofprint

Résumé

Rare diseases are infrequent, but together they affect up to 6-10 % of the world's population, mainly children. Patients require precise doses and strict adherence to avoid metabolic or cardiac failure in some cases, which cannot be addressed in a reliable way using pharmaceutical compounding. 3D printing (3DP) is a disruptive technology that allows the real-time personalization of the dose and the modulation of the dosage form to adapt the medicine to the therapeutic needs of each patient. 3D printed chewable medicines containing amino acids (citrulline, isoleucine, valine, and isoleucine and valine combinations) were prepared in a hospital setting, and the efficacy and acceptability were evaluated in comparison to conventional compounded medicines in six children. The inclusion of new flavours (lemon, vanilla and peach) to obtain more information on patient preferences and the implementation of a mobile app to obtain patient feedback in real-time was also used. The 3D printed medicines controlled amino acid levels within target levels as well as the conventional medicines. The deviation of citrulline levels was narrower and closer within the target concentration with the chewable formulations. According to participants' responses, the chewable formulations were well accepted and can improve adherence and quality of life. For the first time, 3DP enabled two actives to be combined in the same formulation, reducing the number of administrations. This study demonstrated the benefits of preparing 3D printed personalized treatments for children diagnosed with rare metabolic disorders using a novel technology in the real clinical practice over the current approach.

Identifiants

pubmed: 38643809
pii: S0378-5173(24)00374-0
doi: 10.1016/j.ijpharm.2024.124140
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

124140

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Abdul W. Basit reports a relationship with FABRX Ltd. that includes: employment and equity or stocks. Alvaro Goyanes reports a relationship with FABRX Ltd. that includes: employment and equity or stocks. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Lucía Rodríguez-Pombo (L)

Departamento de Farmacología, Farmacia y Tecnología Farmacéutica, I+D Farma (GI-1645), Facultad de Farmacia, Materials Institute iMATUS and Health Research Institute of Santiago de Compostela (IDIS), Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain.

María José de Castro-López (MJ)

Servicio de Neonatología, Unidad de Diagnóstico y Tratamiento de Enfermedades Metabólicas Congénitas, Health Research Institute of Santiago de Compostela (IDIS), Hospital Clínico Universitario de Santiago de Compostela, Universidad de Santiago de Compostela, IDIS, RICORS, CIBERER, MetabERN, Spain.

Paula Sánchez-Pintos (P)

Servicio de Neonatología, Unidad de Diagnóstico y Tratamiento de Enfermedades Metabólicas Congénitas, Health Research Institute of Santiago de Compostela (IDIS), Hospital Clínico Universitario de Santiago de Compostela, Universidad de Santiago de Compostela, IDIS, RICORS, CIBERER, MetabERN, Spain.

Jose Maria Giraldez-Montero (JM)

Pharmacy Department, Xerencia de Xestión Integrada de Santiago de Compostela, SERGAS, Travesía Choupana s/n, Santiago de Compostela 15706, Spain.

Patricija Januskaite (P)

Department of Pharmaceutics, UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK.

Goretti Duran-Piñeiro (G)

Pharmacy Department, Xerencia de Xestión Integrada de Santiago de Compostela, SERGAS, Travesía Choupana s/n, Santiago de Compostela 15706, Spain.

M Dolores Bóveda (M)

Servicio de Neonatología, Unidad de Diagnóstico y Tratamiento de Enfermedades Metabólicas Congénitas, Health Research Institute of Santiago de Compostela (IDIS), Hospital Clínico Universitario de Santiago de Compostela, Universidad de Santiago de Compostela, IDIS, RICORS, CIBERER, MetabERN, Spain.

Carmen Alvarez-Lorenzo (C)

Departamento de Farmacología, Farmacia y Tecnología Farmacéutica, I+D Farma (GI-1645), Facultad de Farmacia, Materials Institute iMATUS and Health Research Institute of Santiago de Compostela (IDIS), Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain.

Abdul W Basit (AW)

Department of Pharmaceutics, UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK; FABRX Ltd., Henwood House, Henwood, Ashford, Kent TN24 8DH, UK; FABRX Artificial Intelligence, Carretera de Escairón, 14, Currelos (O Saviñao), CP 27543, Spain.

Alvaro Goyanes (A)

Departamento de Farmacología, Farmacia y Tecnología Farmacéutica, I+D Farma (GI-1645), Facultad de Farmacia, Materials Institute iMATUS and Health Research Institute of Santiago de Compostela (IDIS), Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain; Department of Pharmaceutics, UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK; FABRX Ltd., Henwood House, Henwood, Ashford, Kent TN24 8DH, UK; FABRX Artificial Intelligence, Carretera de Escairón, 14, Currelos (O Saviñao), CP 27543, Spain. Electronic address: a.goyanes@fabrx.co.uk.

Maria L Couce (ML)

Servicio de Neonatología, Unidad de Diagnóstico y Tratamiento de Enfermedades Metabólicas Congénitas, Health Research Institute of Santiago de Compostela (IDIS), Hospital Clínico Universitario de Santiago de Compostela, Universidad de Santiago de Compostela, IDIS, RICORS, CIBERER, MetabERN, Spain. Electronic address: maria.luz.couce.pico@sergas.es.

Classifications MeSH