2023
DOI: 10.1002/adma.202307673
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The Material World of 3D‐Bioprinted and Microfluidic‐Chip Models of Human Liver Fibrosis

Ana Margarida Carvalho,
Ruchi Bansal,
Cristina C. Barrias
et al.

Abstract: Biomaterials are extensively used to mimic the cell‐matrix interactions, which are essential for cell growth, function and differentiation. This is particularly relevant when developing in vitro disease models of organs rich in extracellular matrix, like the liver. Liver disease involves a chronic wound‐healing response with formation of scar tissue known as liver fibrosis. At early stages, liver disease can be reverted, but as disease progresses, reversion is no longer possible, and there is no cure. Research… Show more

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Cited by 4 publications
(2 citation statements)
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“…3D printing enables the creation of hepatic lobular structures that promote cell–cell and cell–matrix interactions, allowing for the simulation of the microenvironment of liver fibrosis. 130,131 In the future, it may serve as a substitute for animal testing in drug development, thereby reducing associated time and costs.…”
Section: Preparation Of Hydrogel In Liver Injurymentioning
confidence: 99%
“…3D printing enables the creation of hepatic lobular structures that promote cell–cell and cell–matrix interactions, allowing for the simulation of the microenvironment of liver fibrosis. 130,131 In the future, it may serve as a substitute for animal testing in drug development, thereby reducing associated time and costs.…”
Section: Preparation Of Hydrogel In Liver Injurymentioning
confidence: 99%
“…Such strategies might be adapted to cancer models to better understand oxygen gradients within tumor masses, influencing drug delivery efficiency. Moreover, the versatility of 3D liver models extends to replicating mechanical properties and biochemical stimuli during fibrosis, as detailed in this comprehensive review [ 118 ]. Applying this technology to cancer models, where ECM modifications are pivotal for drug delivery, holds promise for enhancing the efficacy of antitumoral DDS.…”
Section: Deriving Insights From Interconnected Fieldsmentioning
confidence: 99%