Microvessel-on-Chip Fabrication for the <i>In Vitro</i> Modeling of Nanomedicine Transport

Dávila, Sergio; Cacheux, Jean; Rodríguez, Isabel

doi:10.1021/acsomega.1c00735

Cited by 10 publications

(9 citation statements)

References 33 publications

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“…73 Modeling the tumor blood vessels on a chip and how they transport NPs can provide new treatment approaches. 74 An early report used mesoporous silica NPs as drug delivery agents and assessed their interactions with platelets in a microfluidic device coated Fig. 5 Drug-loaded macrophages home to the tumor in vivo and onchip.…”

Section: Tumor Vasculaturementioning

confidence: 99%

“…73 Modeling the tumor blood vessels on a chip and how they transport NPs can provide new treatment approaches. 74 An early report used mesoporous silica NPs as drug delivery agents and assessed their interactions with platelets in a microfluidic device coated with endothelial cells, to model blood vessels. 75 Fluorescently-labeled silica NPs were found to activate the platelets when present in high numbers, causing the adhesion of platelets to the vessel.…”

Section: Modeling Cancermentioning

confidence: 99%

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Organ-on-chip systems as a model for nanomedicine

et al. 2023

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Section: Tumor Vasculaturementioning

confidence: 99%

“…73 Modeling the tumor blood vessels on a chip and how they transport NPs can provide new treatment approaches. 74 An early report used mesoporous silica NPs as drug delivery agents and assessed their interactions with platelets in a microfluidic device coated with endothelial cells, to model blood vessels. 75 Fluorescently-labeled silica NPs were found to activate the platelets when present in high numbers, causing the adhesion of platelets to the vessel.…”

Section: Modeling Cancermentioning

confidence: 99%

Organ-on-chip systems as a model for nanomedicine

et al. 2023

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“…A micromachining process, including the steps of laser photolithography and plasma reactive ion etching (RIE), was implemented to fabricate the silicon masters as described before. [ 51 ] For this, 3″ silicon wafers (Test grade, University Wafers) were first cleaned by oxygen plasma (150 mL min −1 ) for 5 min at 400 W (Tepla 600, PVA TePla AG). A primer was then applied by spin coating for 1 min at 2000 rpm.…”

Section: Experimental and Theoretical Calculationsmentioning

confidence: 99%

Recapitulating Solid Stress on Tumor on a Chip for Nanomedicine Diffusive Transport Prediction

Martín-Asensio

Dávila

Cacheux

et al. 2023

Advanced NanoBiomed Research

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Nanotechnology has emerged as a promising tool for the early diagnosis and treatment of cancer. [1][2][3] During the past decades, several nanotechnology-based therapies have been approved for clinical use. [4] However, the success rate of nanomedicines entering clinical trials is extremely low. [5][6][7] There is also a great number of nanomedicines being developed that show high efficacy in studies in vitro, yet they fail at in vivo tests. [8,9] Thus, new more advanced preclinical models with improved predictive value are required to be able to advance the clinical translation of nanomedicines. In this regard, tumor-on-a-chip (ToC) microfluidic devices are new testing platforms with greater physiological relevance than the traditional 2D cell cultures. They are capable of recapitulating key physiological aspects of the tumor microenvironment, like perfused 3D cellular microenvironments, allowing for the dynamic tuning of the physicochemical parameters. [9][10][11][12][13] As such, these devices may provide more clinically relevant models to study the transport process of nanomedicines across the biological barriers for a better prediction of their in vivo performance. [14,15] During the recent years, several ToC devices have been developed as in vitro models to investigate different processes of the tumor biology. ToCs have been used to get a better understanding of cancer progression and metastasis, [16][17][18][19][20] as well as angiogenesis and blood vessel formation. [21][22][23][24] ToC devices have been also developed for the evaluation of new therapeutic approaches against cancer, including nanomedicines. [25][26][27][28] However, up-to-date, ToC devices have failed to model some of the main critical components involved in nanomedicine delivery to the tumor site. During the tumor delivery process, nanomedicines need to leave the bloodstream, penetrate into the interstitial tumor matrix and, ultimately, into the tumor cells. Here,

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“…We selected several recent research results of nano-medicine related to tumors for a brief introduction. Davila et al reconstructed tumor micro-vessels on a chip to evaluate the interaction of polystyrene nanoparticles with endothelial cells [ 118 ]. A semicircular ridge is formed by the thermal imprint of the intermediate polymer impression (IPS) on the master mold, and semicircular micro-channels are formed by casting PDMS.…”

Section: Applicationsmentioning

confidence: 99%

Microfluidic Organ-on-a-Chip System for Disease Modeling and Drug Development

Hui

Yang

et al. 2022

Biosensors

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An organ-on-a-chip is a device that combines micro-manufacturing and tissue engineering to replicate the critical physiological environment and functions of the human organs. Therefore, it can be used to predict drug responses and environmental effects on organs. Microfluidic technology can control micro-scale reagents with high precision. Hence, microfluidics have been widely applied in organ-on-chip systems to mimic specific organ or multiple organs in vivo. These models integrated with various sensors show great potential in simulating the human environment. In this review, we mainly introduce the typical structures and recent research achievements of several organ-on-a-chip platforms. We also discuss innovations in models applied to the fields of pharmacokinetics/pharmacodynamics, nano-medicine, continuous dynamic monitoring in disease modeling, and their further applications in other fields.

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Microvessel-on-Chip Fabrication for the In Vitro Modeling of Nanomedicine Transport

Cited by 10 publications

References 33 publications

Organ-on-chip systems as a model for nanomedicine

Organ-on-chip systems as a model for nanomedicine

Recapitulating Solid Stress on Tumor on a Chip for Nanomedicine Diffusive Transport Prediction

Microfluidic Organ-on-a-Chip System for Disease Modeling and Drug Development

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