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

Li, Zening; Hui, Jianan; Yang, Panhui; Mao, Hongju

doi:10.3390/bios12060370

Cited by 39 publications

(23 citation statements)

References 128 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An important advantage of disease models is that the accuracy of epidemiological assumptions can be validated with the mathematical description of biological processes, allowing us to gain deeper insight into the onset and course of diseases . OOC systems could be utilized for disease modeling that could speed up the development of next-generation drugs and treatments for different diseases …”

Section: Organ-on-a-chip Applications Using Spheroidsmentioning

confidence: 99%

“…153 OOC systems could be utilized for disease modeling that could speed up the development of next-generation drugs and treatments for different diseases. 154 Alzheimer's disease is an age-related neurodegenerative disease that occurs because of amyloid-β accumulation. 155 The 2D cell culture studies conducted in this field remain incapable of understanding the pathogenesis, progression, and underlying reasons for Alzheimer's disease.…”

Section: Disease Modelingmentioning

confidence: 99%

“… 153 OOC systems could be utilized for disease modeling that could speed up the development of next-generation drugs and treatments for different diseases. 154 …”

Section: Organ-on-a-chip Applications Using Spheroidsmentioning

confidence: 99%

See 2 more Smart Citations

Spheroid Engineering in Microfluidic Devices

et al. 2023

View full text Add to dashboard Cite

cell culture techniques are commonly employed to investigate biophysical and biochemical cellular responses. However, these culture methods, having monolayer cells, lack cell−cell and cell−extracellular matrix interactions, mimicking the cell microenvironment and multicellular organization. Three-dimensional (3D) cell culture methods enable equal transportation of nutrients, gas, and growth factors among cells and their microenvironment. Therefore, 3D cultures show similar cell proliferation, apoptosis, and differentiation properties to in vivo. A spheroid is defined as self-assembled 3D cell aggregates, and it closely mimics a cell microenvironment in vitro thanks to cell−cell/matrix interactions, which enables its use in several important applications in medical and clinical research. To fabricate a spheroid, conventional methods such as liquid overlay, hanging drop, and so forth are available. However, these labor-intensive methods result in low-throughput fabrication and uncontrollable spheroid sizes. On the other hand, microfluidic methods enable inexpensive and rapid fabrication of spheroids with high precision. Furthermore, fabricated spheroids can also be cultured in microfluidic devices for controllable cell perfusion, simulation of fluid shear effects, and mimicking of the microenvironment-like in vivo conditions. This review focuses on recent microfluidic spheroid fabrication techniques and also organ-on-a-chip applications of spheroids, which are used in different disease modeling and drug development studies.

show abstract

Section: Organ-on-a-chip Applications Using Spheroidsmentioning

confidence: 99%

Section: Disease Modelingmentioning

confidence: 99%

See 1 more Smart Citation

Spheroid Engineering in Microfluidic Devices

et al. 2023

View full text Add to dashboard Cite

show abstract

“…When the skin contacts the external environment, ultraviolet rays, pollutants, and microorganisms in the environment can cause skin diseases [ 118 ]. In recent years, drug delivery through the skin has also become a research hotspot, including the screening of drugs in vitro by using the skin-on-a-chip.…”

Section: Case Studies In Ooc Applicationsmentioning

confidence: 99%

The Synergy between Deep Learning and Organs-on-Chips for High-Throughput Drug Screening: A Review

et al. 2023

View full text Add to dashboard Cite

Organs-on-chips (OoCs) are miniature microfluidic systems that have arguably become a class of advanced in vitro models. Deep learning, as an emerging topic in machine learning, has the ability to extract a hidden statistical relationship from the input data. Recently, these two areas have become integrated to achieve synergy for accelerating drug screening. This review provides a brief description of the basic concepts of deep learning used in OoCs and exemplifies the successful use cases for different types of OoCs. These microfluidic chips are of potential to be assembled as highly potent human-on-chips with complex physiological or pathological functions. Finally, we discuss the future supply with perspectives and potential challenges in terms of combining OoCs and deep learning for image processing and automation designs.

show abstract

“…However, as the use of RhE models replaces animal experimentation, new challenges are expected to emerge that will need to be taken into account. Among them, the use of non-invasive and marker-free methodologies for the assessment of cellular states will be required as models are expected to increase in complexity, as with its integration in organ-on-a-chip systems [4,5]. In this sense, electrochemical impedance spectroscopy (EIS) emerges as a methodology capable of meeting these requirements.…”

Section: Introductionmentioning

confidence: 99%

Improved Tool for Predicting Skin Irritation on Reconstructed Human Epidermis Models Based on Electrochemical Impedance Spectroscopy

et al. 2023

View full text Add to dashboard Cite

The rabbit skin irritation test has been the standard for evaluating the irritation potential of chemicals; however, alternative methods that do not use animal testing are actively encouraged. Reconstructed human epidermis (RhE) models mimic the biochemical and physiological properties of the human epidermis and can be used as an alternative method. On RhE methods, the metabolic activity of RhE models is used to predict skin irritation, with a reduction in metabolic activity indicating a reduced number of viable cells and linking cell death to skin irritation processes. However, new challenges have emerged as the use of RhE models increases, including the need for non-invasive and marker-free methodologies to assess cellular states. Electrochemical impedance spectroscopy (EIS) is one such methodology that can meet these requirements. In this study, our results showed that EIS can differentiate between irritant and non-irritant chemicals, with a significant increase in the capacitance values observed in the irritant samples. A ROC curve analysis showed that the prediction method based on EIS met OECD TG 439 requirements at all time points and had 95% within-laboratory reproducibility. Comparison with the MTT viability assay showed that prediction using EIS achieved higher sensitivity, specificity, and accuracy. These results suggest that EIS could potentially replace animal testing in the evaluation of irritation potential and could be a valuable addition to in vitro testing strategies.

show abstract

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

Cited by 39 publications

References 128 publications

Spheroid Engineering in Microfluidic Devices

Spheroid Engineering in Microfluidic Devices

The Synergy between Deep Learning and Organs-on-Chips for High-Throughput Drug Screening: A Review

Improved Tool for Predicting Skin Irritation on Reconstructed Human Epidermis Models Based on Electrochemical Impedance Spectroscopy

Contact Info

Product

Resources

About