Bacterial infections pose a significant global health challenge aggravated by the rise of antimicrobial resistance (AMR). Among the obstacles preventing effective treatment are biological barriers (BBs) within the body such as the mucus layer. These BBs trap antimicrobials, necessitating higher doses and ultimately accelerating AMR. Addressing this issue requires innovative therapeutic strategies capable of bypassing BBs to deliver drugs more effectively. Here, we present nanomotors (NMs) based on hyaluronic acid (HA)- and urease-nanogels (NGs) as a solution to navigate effectively in viscous media by catalyzing the decomposition of urea into ammonium and carbon dioxide. These HA-based nanomotors (HA-NMs) were loaded with chloramphenicol (CHL) antibiotic and demonstrated superior antimicrobial activity against Escherichia coli(E. coli) compared to mesoporous silica NMs (MSNP-NMs), a reference in the field of NMs. Moreover, using an in vitro transwell model we evaluated the ability of HA-NMs to penetrate mucin barriers, effectively reducing E. coli proliferation, whereas the free antibiotic did not reduce bacteria proliferation. The optical density reduction at 24 h was over ten times greater than with free CHL. These organic-based enzyme-powered NMs represent a significant advancement in drug delivery, offering a promising approach to combat AMR while addressing the challenges of crossing complex BBs.
Fraire JC, Prado-Morales C, Aldaz Sagredo A, Caelles AG, Lezcano F, Peetroons X, Bakenecker AC, Di Carlo V, Sánchez S, (2024). Swarms of Enzymatic Nanobots for Efficient Gene DeliveryAcs Applied Materials & Interfaces 16, 47192-47205
This study investigates the synthesis and optimization of nanobots (NBs) loaded with pDNA using the layer-by-layer (LBL) method and explores the impact of their collective motion on the transfection efficiency. NBs consist of biocompatible and biodegradable poly(lactic-co-glycolic acid) (PLGA) nanoparticles and are powered by the urease enzyme, enabling autonomous movement and collective swarming behavior. In vitro experiments were conducted to validate the delivery efficiency of fluorescently labeled NBs, using two-dimensional (2D) and three-dimensional (3D) cell models: murine urothelial carcinoma cell line (MB49) and spheroids from human urothelial bladder cancer cells (RT4). Swarms of pDNA-loaded NBs showed enhancements of 2.2- to 2.6-fold in delivery efficiency and 6.8- to 8.1-fold in material delivered compared to inhibited particles (inhibited enzyme) and the absence of fuel in a 2D cell culture. Additionally, efficient intracellular delivery of pDNA was demonstrated in both cell models by quantifying and visualizing the expression of eGFP. Swarms of NBs exhibited a >5-fold enhancement in transfection efficiency compared to the absence of fuel in a 2D culture, even surpassing the Lipofectamine 3000 commercial transfection agent (cationic lipid-mediated transfection). Swarms also demonstrated up to a 3.2-fold enhancement in the amount of material delivered in 3D spheroids compared to the absence of fuel. The successful transfection of 2D and 3D cell cultures using swarms of LBL PLGA NBs holds great potential for nucleic acid delivery in the context of bladder treatments.
Biological barriers present a significant obstacle to treatment, especially when drugs are administered locally to increase their concentrations at the target site while minimizing unintended off-target effects. Among these barriers, mucus presents a challenge, as it serves as a protective layer in the respiratory, urogenital, and gastrointestinal tracts. Its role is to shield the underlying epithelial cells from pathogens and toxic compounds but also impedes the efficient delivery of drugs. Despite the exploration of mucolytic agents to improve drug delivery, overcoming this protective barrier remains a significant hurdle. In our study, we investigate an alternative approach involving the use of catalase-powered nanobots. We use an in vitro model that simulates intestinal mucus secretion to demonstrate the dual functionality of our nanobots. This includes their ability to disrupt mucus, which we confirmed through in vitro and ex vivo validation, as well as their self-propulsion to overcome the mucus barrier, resulting in a 60-fold increase compared with passive nanoparticles. Therefore, our findings highlight the potential utility of catalase-powered nanobots as carriers for therapeutic agents since they could enhance drug delivery efficiency by penetrating the mucus barrier.
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