Metal-organic framework (MOF) nanomedicine preparations of sildenafil designed for the future treatment of pulmonary arterial hypertension
Mohamed, N. A.; Abou Saleh, H.; Kameno, Y.; Marei, I.; de Nucci, G.; Ahmetaj-Shala, B.; Shala, F.; Kirkby, N. S.; Jennings, L.; Davies, R. P.; Lickiss, P. D.; Mitchell, J. A.
Show abstract
Pulmonary Arterial Hypertension (PAH) is an aggressive disease with poor prognosis, no available cure, and low survival rates. Currently, there are several classes of vasodilator drugs that are widely used as treatment strategies for PAH. These include (i) endothelin-1 receptor antagonists, (ii) phosphodiesterase type 5 inhibitors, (iii) prostacyclin analogues, and (iv) soluble guanylate cyclase activators. Despite their clinical benefits, these therapies are hindered by their systemic side effects. This limitation could be overcome by controlled drug release, with future modifications for targeted drug delivery, using a nanomedicine approach. In the current study, we have evaluated one particular nanomedicine platform (the highly porous iron-based metal-organic framework (MOF) commonly referred to as MIL-89) as a carrier of the PAH drug sildenafil. We have previously shown that MIL-89 is relatively non-toxic in a range of human cell types and well tolerated in vivo. Here we prepared a nano-formulation of MIL-89 (nanoMIL-89) and then successfully charged it with a payload of sildenafil (sil@nanoMIL-891). sil@nanoMIL-89 was then shown to release sildenafil in a biphasic manner with an initial rapid release over 6 hours followed by a more sustained release over 72 hours. Both nanoMIL-89 and sil@nanoMIL-89 were relatively non-toxic when incubated with human endothelial cells for 24 hours. Finally, the vasodilator effect of sil@nanoMIL-89 was measured over 8 hours using isolated mouse aorta. Consistent with drug release kinetics, sil@nanoMIL-89 induced vasodilation after a lag phase of >4 hours. Thus, in sil@nanoMIL-89, we have produced a nano-formulation of sildenafil displaying delayed drug release corresponding to vasodilator activity. Further pharmacological assessment of sil@nanoMIL-89, including in PAH models, is now required and constitutes the subject of ongoing investigation.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Synthesis and characterization of peptide conjugated human serum albumin nanoparticles for targeted cardiac uptake and drug delivery. 95%
- Hyaluronic Acid on the Urokinase Sustained Release with a Hydrogel System Composed of Poloxamer 407: Enhanced Stability of Intracellular Interaction by Adding HA. 93%
- Chitosan-olive oil microparticles for phenylethyl isothiocyanate delivery: optimal formulation 93%
Similar papers in this journal
Similar papers in this journal
- Nor-LAAM loaded PLGA Microparticles for Treating Opioid Use Disorder 94%
- Ionic liquid-coated lipid nanoparticles demonstrate prolonged circulation and brain uptake via red blood cell hitchhiking 93%
- Transdermal Delivery of Ultradeformable Cationic Liposomes Complexed with miR211-5p (UCL-211) Stabilizes BRAFV600E+ Melanocytic Nevi 93%
Similar papers in this journal
- A Proof-of-Concept Preparation of Lipid-Plasmid DNA Particles Using Novel Extrusion Based 3D Printing Technology, SMART 92%
- A silk-based platform to stabilize phenylalanine ammonia-lyase (PAL) for orally administered enzyme replacement therapy 91%
- Combinatorial Intracellular Delivery Screening (CIDS) of Anticancer Drugs 91%
Similar papers in this journal
- Drug-dependent morphological transitions in spherical and worm-like polymeric micelles define stability and pharmacological performance of micellar drugs 93%
- Conformational switch of a peptide provides a novel strategy to design peptide loaded porous organic polymer for Pyroptosis pathway mediated cancer therapy 93%
- Characterizing microbubble-mediated permeabilization in a vessel-on-a-chip model 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.