12
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Remotely controlled nanofluidic implantable platform for tunable drug delivery

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          An implantable nanofluidic device for remote controlled drug delivery.

          Abstract

          Chronic diseases such as hypertension and rheumatoid arthritis are persistent ailments that require personalized lifelong therapeutic management. However, the difficulty of adherence to strict dosing schedule compromises therapeutic efficacy and safety. Moreover, the conventional one-size-fits-all treatment approach is increasingly challenged due to the intricacies of inter- and intra-individual variabilities. While accelerated technological advances have led to sophisticated implantable drug delivery devices, flexibility in dosage and timing modulation to tailor precise treatment to individual needs remains an elusive goal. Here we describe the development of a subcutaneously implantable remote-controlled nanofluidic device capable of sustained drug release with adjustable dosing and timing. By leveraging a low intensity electric field to modify the concentration driven diffusion across a nanofluidic membrane, the rate of drug administration can be increased, decreased or stopped via Bluetooth remote command. We demonstrate in vitro the release modulation of enalapril and methotrexate, first-line therapeutics for treatment of hypertension and rheumatoid arthritis, respectively. Further, we show reliable remote communication and device biocompatibility via in vivo studies. Unlike a pulsatile release regimen typical of some conventional controlled delivery systems, our implant offers a continuous drug administration that avoids abrupt fluctuations, which could affect response and tolerability. Our system could set the foundation for an on-demand delivery platform technology for long term management of chronic diseases.

          Related collections

          Most cited references30

          • Record: found
          • Abstract: not found
          • Article: not found

          Transport phenomena in nanofluidics

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Biodegradable synthetic polymers: Preparation, functionalization and biomedical application

              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              A systematic review of chronic disease management interventions in primary care

              Background Primary and community care are key settings for the effective management of long term conditions. We aimed to evaluate the pattern of health outcomes in chronic disease management interventions for adults with physical health problems implemented in primary or community care settings. Methods The methods were based on our previous review published in 2006. We performed database searches for articles published from 2006 to 2014 and conducted a systematic review with narrative synthesis using the Cochrane Effective Practice and Organisation of Care taxonomy to classify interventions and outcomes. The interventions were mapped to Chronic Care Model elements. The pattern of outcomes related to interventions was summarized by frequency of statistically significant improvements in health care provision and patient outcomes. Results A total of 9589 journal articles were retrieved from database searches and snowballing. After screening and verification, 165 articles that detailed 157 studies were included. There were few studies with Health Care Organization (1.9% of studies) or Community Resources (0.6% of studies) as the primary intervention element. Self-Management Support interventions (45.8% of studies) most frequently resulted in improvements in patient–level outcomes. Delivery System Design interventions (22.6% of studies) showed benefits in both professional and patient-level outcomes for a narrow range of conditions. Decision Support interventions (21.3% of studies) had impact limited to professional-level outcomes, in particular use of medications. The small number of studies of Clinical Information System interventions (8.9%) showed benefits for both professional- and patient-level outcomes. Conclusions The published literature has expanded substantially since 2006. This review confirms that Self-Management Support is the most frequent Chronic Care Model intervention that is associated with statistically significant improvements, predominately for diabetes and hypertension. Electronic supplementary material The online version of this article (10.1186/s12875-017-0692-3) contains supplementary material, which is available to authorized users.
                Bookmark

                Author and article information

                Journal
                LCAHAM
                Lab on a Chip
                Lab Chip
                Royal Society of Chemistry (RSC)
                1473-0197
                1473-0189
                June 25 2019
                2019
                : 19
                : 13
                : 2192-2204
                Affiliations
                [1 ]Nanomedicine Department
                [2 ]Houston Methodist Research Institute
                [3 ]Houston
                [4 ]USA
                [5 ]University of Chinese Academy of Science (UCAS)
                [6 ]Department of Electronics and Telecommunications
                [7 ]Politecnico di Torino
                [8 ]Turin 10024
                [9 ]Italy
                [10 ]Department of Surgery
                Article
                10.1039/C9LC00394K
                31169840
                99a901e4-b6a4-402f-a44a-c3d675f6595d
                © 2019

                http://rsc.li/journals-terms-of-use

                History

                Comments

                Comment on this article