Publications by authors named "L De Cola"

Targeting is the most challenging problem to solve for drug delivery systems. Despite the use of targeting units such as antibodies, peptides and proteins to increase their penetration in tumors the amount of therapeutics that reach the target is very small, even with the use of nanoparticles (NPs). Nature has solved the selectivity problem using a combination of proteins and lipids that are exposed on the cell membranes and are able to recognize specific tissues as demonstrated by cancer metastasis.

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The use of fluorescent labels is the most common tool to visualize cells. However, the internalization of dye molecules often modifies the cell behavior. In this paper we demonstrate that it is possible to transiently label cells using a 3D scaffold, a hydrogel, covalently functionalized with luminescent cyclometalated iridium(III) complexes.

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Gene expression manipulation is pivotal in therapeutic approaches for various diseases. Non-viral delivery systems present a safer alternative to viral vectors, with reduced immunogenicity and toxicity. However, their effectiveness in promoting endosomal escape, a crucial step in gene transfer, remains limited.

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Article Synopsis
  • Chemoimmunotherapy (CIT) is an emerging cancer treatment that combines chemotherapy and immunotherapy to improve patient responses, but it faces challenges in delivering both drugs effectively to the right cells.
  • A novel delivery strategy using different types of breakable organosilica nanocarriers allows for separate and timed delivery of a chemotherapy drug (doxorubicin) to cancer cells and an immunotherapy drug (resiquimod) to macrophages.
  • The research indicates that using both nanocarriers together significantly reduces tumor cell viability compared to using either drug alone.
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The development of new sensors for on-site food toxin monitoring that combine extraction, analytes distinction and detection is important in resource-limited environments. Surface-enhanced Raman scattering (SERS)-based signal readout features fast response and high sensitivity, making it a powerful method for detecting mycotoxins. In this work, a SERS-based assay for the detection of multiple mycotoxins is presented that combines extraction and subsequent detection, achieving an analytically relevant detection limit (∼ 1 ng/mL), which is also tested in corn samples.

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