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Biology subjects

Mireles, M.

Publications and source records attributed to Mireles, M..

3 recordsLinked to original sources

A Toolbox for the Personalization of Plasmonic Photothermal Therapy in Orthotopic Mouse Tumor Models

The clinical translation of plasmonic photothermal therapy is hindered by a lack of reliable personalization protocols. In this study we implemented a non-invasive toolbox to assess how tumor optical and hemodynamic properties can serve as markers of progression and be used in personalized simulations to extrapolate therapy conditions, both necessary steps for individualized treatment planning. The toolbox integrated near-infrared diffuse optical monitoring techniques, thermal imaging, ex vivo assays and physical simulations. It was applied to patient-derived orthotopic clear cell renal cell carcinoma mouse models, at 1 cm3 volumes, providing clinically more relevant conditions than those of commonly used models. Gold nanorods (GNRs) with absorption tuned to the optical window and fixed irradiation conditions were employed. Therapy safety and efficacy were established using standard methods and pre-GNR injection, pre-therapy and post-therapy measurements obtained with the toolbox were analyzed to model therapy progression. Results revealed an association between tumor water concentration and accumulated GNR fraction in the tumor, a correlation between the pre-therapy tumor absorption coefficient and the maximum skin temperature reached, and a link between simulated treated volume estimates and progression-free survival, among other findings. These results demonstrate the capabilities of optical measurements to model the outcome and explain the mechanisms involved in the therapy, advancing towards a personalization strategy.

biophysics↗

Nanopatterned Thermoresponsive Functionalization of Substrates via Nanosphere Lithography

1Self-assembled monolayers (SAMs) have been widely utilized as a way of tailoring surface chemistry through the adsorption of organic molecules to different materials. SAMs are easy to prepare and offer a wide variety of organic molecules that afford additional or improved properties to the coated material. Spatial control of SAM placement has been achieved over many length-scales, even at the nanoscale. However, nanopatterned SAMs are usually prepared through serial processes utilizing atomic scanning probes or soft-lithography utilizing elastomeric masters. These techniques are expensive or not repeatable. Here we present the use of nanospheres for the creation of nanopatterned Au:Cu films which spatially control the grafting of a thermoresponsive SAM made from poly(N-isopropyl acrylamide) (PNIPAM). Chemical characterization validates the presence of PNIPAM and environmental atomic force microscopy showed its response to temperature which was evidenced by a change in stiffness. Our approach represents an affordable large area methodology for repeatable spatial control of SAMs at the nanoscale.

bioengineering↗

Use of Nanosphere Self-Assembly to Pattern Nanoporous Membranes for the Study of Extracellular Vesicles

Nanoscale biocomponents naturally released by cells, such as extracellular vesicles (EVs), have recently gained interest due to their therapeutic and diagnostic potential. Membrane based isolation and co-culture systems have been utilized in an effort to study EVs and their effects. Nevertheless, improved platforms for the study of small EVs are still needed. Suitable membranes, for isolation and co-culture systems, require pore sizes to reach into the nanoscale. These pore sizes cannot be achieved through traditional lithographic techniques and conventional thick nanoporous membranes commonly exhibit low permeability. Here we utilized nanospheres, similar in size and shape to the targeted small EVs, as patterning features for the fabrication of freestanding SiN membranes (120 nm thick) released in minutes through a sacrificial ZnO layer. We evaluated the feasibility of separating subpopulation of EVs based on size using these membranes. The membrane used here showed an effective size cut-off of 300 nm with the majority of the EVs [≤]200 nm. This work provides a convenient platform with great potential for studying subpopulations of EVs.

bioengineering↗