Glucose-driven chemo-mechanical autonomous drug-release system with multi-enzymatic amplification toward feedback control of blood glucose in diabetes

Munkhjargal, Munkhbayar; Hatayama, Kohdai; Matsuura, Yoshiyuki; Toma, Koji; Arakawa, Takahiro

doi:10.1016/j.bios.2014.08.044

Cited by 6 publications

(4 citation statements)

References 33 publications

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“…MENAs-mediated drug release has attracted a lot of research attention. 216 For instance, glucose-responsive controlled insulin release nanosystems have been widely constructed with assembled GOx and CAT. 217,218 One recent example used the two enzymes-PEI complex to coat insulin-loaded silica nanovesicles (SV).…”

Section: Pharmaceutical Industry and Drug Deliverymentioning

confidence: 99%

Multienzyme nanoassemblies: from rational design to biomedical applications

Xiong

Liang

et al. 2021

Biomater. Sci.

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Section: Pharmaceutical Industry and Drug Deliverymentioning

confidence: 99%

Multienzyme nanoassemblies: from rational design to biomedical applications

Xiong

Liang

et al. 2021

Biomater. Sci.

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“…In single-channel electrophysiological measurements, single-molecule translocation experiments showed that the synthetic channels could be used to discriminate single DNA molecules [42]. Moreover, a secondgeneration glucose-driven novel chemo-mechanical autonomous drug release system was fabricated and evaluated toward feedback control of blood glucose in diabetes, without any requirement for external energy [43]. One of the most active directions in synthetic protocell biology is the "reconstruction' approach", where macromolecules are encapsulated in vesicles or liposomes and catalyze metabolic functions necessary in the life cycle of the protocell [44,45].…”

Section: In Vitro and In Vivo Systemsmentioning

confidence: 99%

Synthetic Biology: Computational Modeling Bridging the Gap between In Vitro and In Vivo Reactions

Duschak¹

2015

Curr Synthetic Sys Biol

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The synthetic biology firstly refers to the design and fabrication of biological components and systems that do not already exist in the natural world and to the redesign and fabrication of existing biological systems. The link of computational tools to cell-free systems, converts to synthetic biology is an emerging field expert to build artificial biological systems through the combination of molecular biology and engineering approaches. Herein, most findings describing the differences between in vivo and in vitro reactions and systems have been extensively described. The specific applications of computational tools to the design of an in vitro gene expression platform known as the artificial cell, its components and the strategies developed to predict activities of processor modules and to control the expression of genes have been discussed in detail. Potential applications of artificial cells in drug delivery, in biosynthesis, among others, have been described. Two sources of models for the possible developing of the computational toolbox for cell-free synthetic biology include: i) Physical models of single cellular components able to be created from original principles, guiding to focus on tools to predict structure and dynamics of particular components;ii) A wide-range of mathematical models for predicting system dynamics of natural cells.Regarding modeling algorithms, there is a broad kind of models available for synthetic biologists and some areas of potential growth identified for researchers interested in developing tools for cell-free systems. Among them, deterministic, exploratory, molecular dynamic, stochastic, all atom models, among others, have been described and discussed. By using computational models to set up quantitative differences between in vitro reactions and in vivo systems, could identify specific mechanisms in living organisms to be further used in in vitro reactions in order to facilitate their processes. Thus, computational modeling would bridge the gap between in vitro and in vivo reactions. CSSB, an open access journalThe synthetic biology refers to • The design and fabrication of biological components and systems that do not already exist in the natural world and the redesign and fabrication of existing biological systems.

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“…Diabetes occurrence is becoming more and more widespread around the world [1,2], and glucose is regarded as the most iconic biomarker for diabetes detection [3][4][5]. It is indispensable to develop glucose sensing technology in food processing, environmental monitoring, biological process control, and especially in blood glucose detection [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Surface metallization of human hair via electroless copper-plating for self- supported nonenzymatic glucose sensor

Qian

Miao

et al. 2023

Preprint

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Surface engineering of human hair was successfully used as a self-supported electrochemical sensor to detect glucose in human serum. Polydopamine (PDA) was firstly grafted on hair by oxidative self-polymerization of dopamine and then the copper nanoparticles (CuNPs) were electrolessly deposited to achieve surface metallization of hair (hair@CuNPs). The hair@CuNPs composites with uniformly dispersed conductive layer in 8 µm thickness exhibited outstanding electrocatalytic activity towards glucose oxidation. Under optimal conditions, the amperometric response of glucose on hair@CuNPs composites as self-supported nonenzymatic glucose sensor covered two linear ranges of 0.002–5 mM and 5–35 mM, respectively, and the detection limit was 1.62 µM. The proposed method provides an easy and inexpensive way to fabricate hair@CuNPs biosensor for detecting glucose level in human serum samples, indicating that hair@CuNPs composites have promising practical applications in biological analysis.

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Glucose-driven chemo-mechanical autonomous drug-release system with multi-enzymatic amplification toward feedback control of blood glucose in diabetes

Cited by 6 publications

References 33 publications

Multienzyme nanoassemblies: from rational design to biomedical applications

Multienzyme nanoassemblies: from rational design to biomedical applications

Synthetic Biology: Computational Modeling Bridging the Gap between In Vitro and In Vivo Reactions

Surface metallization of human hair via electroless copper-plating for self- supported nonenzymatic glucose sensor

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