2 research outputs found

    Breaking the Skin Barrier: Modelling Microneedles for Transdermal Insulin Delivery

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    Transdermal patches, devices developed to deliver drugs, can be limited in their efficacy because the amount of drug that diffuses through the skin often doesn’t reach sufficient concentrations. This problem is alleviated by using the ‘poke with patch’ method, which uses a patch with microneedles to puncture the skin in order to help increase drug penetration through the skin. In our project, we investigated varying number of punctures and modeled how that impacts drug diffusion through the skin over time. We modeled this system in COMSOL as a 2D slab representing the multiple layers within the skin, and simulated insulin flow from the patch into the capillary blood layer. To study the effect of the number of punctures on drug delivery, we created four models with 5, 10, 20, and 50 microneedle punctures. We then gathered data of insulin concentrations over 24 hours at two different points in the geometry—underneath a microneedle and at the exit of the blood domain—as well as in the drug patch and in the body. The data gathered from all four models were then evaluated to find the trends. The data collected showed that as we increase the number of microneedles in the patch, the insulin concentration underneath the needle decreases. However, with a greater number of microneedles, the insulin concentration exiting the blood domain significantly increases, and insulin exits the drug patch at a faster rate. From our results, we see that the addition of microneedle punctures improves the efficacy of transdermal patches by increasing the insulin delivered into the body through the patch. Since insulin concentration in the blood increases when there are more microneedles in the patch, we can conclude that increasing the number of microneedle punctures optimizes drug delivery. However, there should be a limit on the number of punctures to prevent potential clinical damage to the skin

    Targeted Conservation to Safeguard a Biodiversity Hotspot from Climate and Land-Cover Change

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    Responses of biodiversity to changes in both land cover and climate are recognized [1] but still poorly understood [2]. This poses significant challenges for spatial planning as species could shift, contract, expand, or maintain their range inside or outside protected areas [2, 3 and 4]. We examine this problem in Borneo, a global biodiversity hotspot [5], using spatial prioritization analyses that maximize species conservation under multiple environmental-change forecasts. Climate projections indicate that 11%–36% of Bornean mammal species will lose ?30% of their habitat by 2080, and suitable ecological conditions will shift upslope for 23%–46%. Deforestation exacerbates this process, increasing the proportion of species facing comparable habitat loss to 30%–49%, a 2-fold increase on historical trends. Accommodating these distributional changes will require conserving land outside existing protected areas, but this may be less than anticipated from models incorporating deforestation alone because some species will colonize high-elevation reserves. Our results demonstrate the increasing importance of upland reserves and that relatively small additions (16,000–28,000 km2) to the current conservation estate could provide substantial benefits to biodiversity facing changes to land cover and climate. On Borneo, much of this land is under forestry jurisdiction, warranting targeted conservation partnerships to safeguard biodiversity in an era of global change
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