Background: Nebulizers are commonly used to treat respiratory diseases, which are a major cause of morbidity and mortality. While inhalation therapy with antibodies has been evaluated in preclinical studies and clinical trials for respiratory diseases, it has not yet been approved for treatment. Moreover, there is limited information regarding the delivery efficiency of therapeutic antibodies via nebulizer.
Methods: In this study, the nebulization characteristics and drug delivery efficiencies were compared when immunoglobulin G (IgG) was delivered by five nebulizers using two airway models and five breathing patterns. The study confirmed that the delivered dose and drug delivery efficiency were reduced in the child model compared to those in the adult model and in the asthma pattern compared to those in the normal breathing pattern.
Results: The NE-SM1 NEPLUS vibrating mesh nebulizer demonstrated the highest delivery efficiency when calculated as a percentage of the loading dose, whereas the PARI BOY SX + LC SPRINT (breath-enhanced) jet nebulizer had the highest delivery efficiency when calculated as a percentage of the emitted dose.
Conclusion: The results suggest that the total inspiration volume, output rate, and particle size should be considered when IgG nebulization is used. We, therefore, propose a method for evaluating the efficiency of nebulizer for predicting antibody drug delivery.
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http://dx.doi.org/10.1186/s40360-023-00711-9 | DOI Listing |
J Med Internet Res
January 2025
NOCD, Inc, Chicago, IL, United States.
Background: An effective primary treatment for obsessive-compulsive disorder (OCD) in children and adolescents as well as adults is exposure and response prevention (ERP), a form of intervention in the context of cognitive-behavioral therapy. Despite strong evidence supporting the efficacy and effectiveness of ERP from studies in research and real-world settings, its clinical use remains limited. This underuse is often attributed to access barriers such as the scarcity of properly trained therapists, geographical constraints, and costs.
View Article and Find Full Text PDFPLoS One
January 2025
Institute of Visual Informatics, The National University of Malaysia (UKM), Bangi, Malaysia.
Patients with type 1 diabetes and their physicians have long desired a fully closed-loop artificial pancreas (AP) system that can alleviate the burden of blood glucose regulation. Although deep reinforcement learning (DRL) methods theoretically enable adaptive insulin dosing control, they face numerous challenges, including safety and training efficiency, which have hindered their clinical application. This paper proposes a safe and efficient adaptive insulin delivery controller based on DRL.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Department of Engineering Design, Indian Institute of Technology Madras, Chennai 600036, India.
This study presents a novel optoporation technique using a titanium-coated TiO microstructure (TMS) device activated by an infrared diode laser for highly efficient intracellular delivery. The TMS device, fabricated with 120 nm titanium coating on a titanium dioxide (TiO) microstructure containing microneedles (height ∼2 μm and width ∼4.5 μm), demonstrates enhanced biocompatibility and thermal conductivity compared to the conventional TiO microstructure (MS).
View Article and Find Full Text PDFACS Nano
January 2025
Department of Cancer Biology, University of Texas MD Anderson Cancer Center, Houston, Texas 77054, United States.
Extracellular vesicles (EVs) are cell derived nanovesicles which are implicated in both physiological and pathological intercellular communication, including the initiation, progression, and metastasis of cancer. The exchange of biomolecules between stromal cells and cancer cells via EVs can provide a window to monitor cancer development in real time for better diagnostic and interventional strategies. In addition, the process of secretion and internalization of EVs by stromal and cancer cells in the tumor microenvironment (TME) can be exploited for delivering therapeutics.
View Article and Find Full Text PDFAssay Drug Dev Technol
January 2025
Department of Pharmaceutics, Raghavendra Institute of Pharmaceutical Education & Research - Autonomous, Anantapur, Andhra Pradesh, India.
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