Smart sarcosinate-based catanionic vesicles for efficient doxorubicin delivery in tumor microenvironments
Catanionic mixtures, composed of cationic and anionic surfactants, spontaneously form robust self-assembled aggregates whose morphology, size, and surface charge can be tailored by adjusting the surfactant mixing ratio. This straightforward and scalable approach, based on easily obtainable components, offers a versatile and simple platform with high potential for drug delivery. However, developing viable nanocarriers also requires a favorable cytotoxicity profile, high drug loading, and strong bioactivity-features that catanionic vesicles often lack. Here, we present a systematic study of pH-sensitive catanionic vesicles composed of mixtures of the biocompatible, FDA-approved anionic surfactant sodium lauroyl sarcosinate (SLSar) and various cationic double-tailed surfactants (didodecyldimethylammonium bromide and bis-quat 12-<i>s</i>-12 gemini surfactants). The different vesicle systems form spontaneously at low critical aggregation concentrations (≈ 3-30 μmol kg<sup>-1</sup>), and exhibit a broad range of size distributions, high surface charge (positive and negative), and long-term colloidal stability. Cytotoxicity screening in healthy L929 fibroblasts enabled the selection of highly biocompatible compositions, with gemini/SLSar systems showing superior doxorubicin (DOX) encapsulation efficiency. These vesicles exhibit enhanced DOX release at acidic pH (≈ 6.0), mimicking tumor microenvironments, and demonstrate rapid and efficient uptake in lung carcinoma cells within 30 min, increasing over 3 h. Remarkably, DOX-loaded vesicles achieve potent cytotoxicity at only 5 nM DOX-well below the IC<sub>50</sub> of free drug-highlighting enhanced therapeutic efficacy and potential for reduced systemic toxicity. Overall, SLSar-based catanionic vesicles constitute a simple, stable, and tunable nanocarrier platform with significant potential for pH-responsive, low-dose cancer chemotherapy.
Authors
- Karenina Santos
- Andreia C. Gomes (ORCID: https://orcid.org/0000-0002-0567-064X)
- Isabel S. Oliveira (ORCID: https://orcid.org/0000-0002-0515-9470)
- Eduardo F. Marques
- Rui L. Machado (ORCID: https://orcid.org/0000-0003-3730-6161)
Institutions
- Universidade do Porto (PT)
- University of Minho (PT)
Publication Details
- Journal
- Nanoscale
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5nr03663a
- Primary Topic
- Nanoparticle-Based Drug Delivery
- Type
- article
- Field-Weighted Citation Impact
- 0.00