Question

Ceramic nanoparticles . Describe some of the different ways this nanoparticle could be functionalized to accumulate in type 1 diabetes tissue . Would it be more beneficial to perform active or passive targeting? If you were to perform active targeting, what are 3 different tissue biomarkers you would try to target, and why? What sorts of targeting molecules would you put on the surface of your nanoparticle? What are your most important considerations when picking targeting molecules (size, charge, affinity, etc)? How do you expect this active targeting to change your overall nanoparticle accumulation in your tissue? If you were to perform passive targeting, what physical properties of your nanoparticle would you optimize, and why? How do you expect this passive targeting to change your overall nanoparticle accumulation in your tissue?

Answer 1

I hope the below paragraph would answer your all the questions for some extent. I would provide a wage knowledge.

Here, the nanoparticle size, shape and solubility plays a key role in their functionality. Active targeting is always efficient than passive targeting. Since, in active targeting, nanoparticles used to coated with peptides, antibodies or ligands that would interfere with specific target cells responsible for the disease. The organic layers coated on ceramic nanoparticles core will have the colloidal interactions with different biomolecules. In type-1 diabetes treatment, it is important to coat the ceramic nanoparticles with immunosuppressive agents, since it is an autoimmune disease, where the pancreas beta-cell will be recognised as self-antigens and destructed by our immune system. So that anti-CD3 or anti-CD-20 antibody grafted ceramic nanoparticles could help in the preserving of C-peptide response and also contributes to the reduction of pancreas tissue damage by inducing Tregs response. Here, it is necessary to target self-antigen recognising inflammatory T & B-cell antigens. It is clear that active targeting is always more favourable than passive targeting, which is not much specific.