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Engineering of 3D printed personalized polypills for the treatment of the metabolic syndrome

dc.contributor.authorAnaya, Brayan J.
dc.contributor.authorCerda, Jose R.
dc.contributor.authorD'Atri, Rita
dc.contributor.authorYuste, Iván
dc.contributor.authorLuciano, Francis C.
dc.contributor.authorKara, Aytug
dc.contributor.authorRuiz Saldaña, Helga Karina
dc.contributor.authorBallesteros Papantonakis, María De La Paloma
dc.contributor.authorSerrano López, Dolores Remedios
dc.date.accessioned2023-09-28T10:53:34Z
dc.date.available2023-09-28T10:53:34Z
dc.date.issued2023-06-30
dc.description.abstractMetabolic syndrome is a collection of abnormalities, including at least three of the following insulin resistance, hypertension, dyslipidemia, type 2 diabetes, obesity, inflammation, and non-alcoholic fatty liver disease. 3D printed solid dosage forms have emerged as a promising tool enabling the fabrication of personalized medicines and offering solutions that cannot be achieved by industrial mass production. Most attempts found in the literature to manufacture polypills for this syndrome contain just two drugs. However, most fixed-dose combination (FDC) products in clinical practice required the use of three or more drugs. In this work, Fused deposition modelling (FDM) 3D printing technology coupled with Hot-melt extrusion (HME) has been successfully applied in the manufacture of polypills containing nifedipine (NFD), as an antihypertensive drug, simvastatin (SMV), as an antihyperlipidemic drug, and gliclazide (GLZ) as an antiglycemic drug. Hanssen solubility parameters (HSPs) were utilized as predictors to guide the formation of amorphous solid dispersion between drug and polymer to ensure miscibility and enhanced oral bioavailability. The HSP varied from 18.3 for NFD, 24.6 for SMV, and 7.0 for GLZ while the total solubility parameter for the excipient mixture was 27.30.5. This allowed the formation of an amorphous solid dispersion in SMV and GLZ 3D printed tablets compared to NFD which was partially crystalline. Popypill showed a dual release profile combining a faster SMV release (< 6 h) with a 24 h sustained release for NDF and GLZ. This work demonstrated the transformation of FDC into dynamic dose-personalized polypills.
dc.description.departmentDepto. de Farmacia Galénica y Tecnología Alimentaria
dc.description.facultyFac. de Farmacia
dc.description.refereedTRUE
dc.description.sponsorshipUniversidad Complutense de Madrid
dc.description.sponsorshipMInisterio de Ciencia e Innovación
dc.description.statuspub
dc.identifier.doi10.1016/j.ijpharm.2023.123194
dc.identifier.officialurlhttps://www.sciencedirect.com/science/article/pii/S0378517323006142?via%3Dihub
dc.identifier.urihttps://hdl.handle.net/20.500.14352/88007
dc.issue.number123194
dc.journal.titleInternational Journal of Pharmaceutics
dc.language.isoeng
dc.page.final10
dc.page.initial1
dc.publisherElsevier
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.cdu615.4
dc.subject.keyword3D Printing
dc.subject.keywordFused deposition modelling (FDM)
dc.subject.keywordNifedipine
dc.subject.keywordSimvastatin
dc.subject.keywordGliclazide
dc.subject.keywordPolypill
dc.subject.keywordPersonalized medicines
dc.subject.ucmTecnología farmaceútica
dc.subject.unesco3209.08 Preparación de Medicamentos
dc.titleEngineering of 3D printed personalized polypills for the treatment of the metabolic syndrome
dc.typejournal article
dc.type.hasVersionCVoR
dc.volume.number642
dspace.entity.typePublication
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