Medicament identity rather than total loading governs the morphology of electrospun poly(vinylpyrrolidone) nanofibers for regenerative endodontics: a machine learning analysis of a failure-inclusive dataset
Electrospun fibers loaded with antibiotics or calcium hydroxide are being developed as intracanal carriers for regenerative endodontics, where the dose must stay low enough to spare the stem cells that repopulate the canal. Formulation development sweeps the medicament concentration while holding the polymer and machine settings fixed. We asked whether that sweep targets the right variable. We…
A study examines the impact of medicament composition on the morphology of electrospun poly(vinylpyrrolidone) nanofibers used in regenerative endodontics. The research focuses on the precise role of medicament concentration and its effect on fiber diameter, rather than solely considering total loading of drugs. An extensive dataset, ENDOSPIN-29, consisting of 29 poly(vinylpyrrolidone) formulations with various antibiotics and calcium hydroxide, was analyzed.
The findings indicate that predicting fiber diameter based on the per-medicament composition outperforms models relying solely on total loading. The best-performing model achieved a leave-one-out coefficient of determination of 0.84 and a median relative error of 18%. In contrast, models prioritizing total loading performed at or below the mean baseline.
The study also highlights the variable effects of different actives, with ciprofloxacin reducing fiber diameter and metronidazole increasing it, leading to fiber formation destruction above 10% w/w. The research concludes that focusing on the composition of the medicament rather than the total dosage is crucial for optimizing the nanofiber properties for regenerative endodontic applications.
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