Designing topographically textured microparticles for induction and modulation of osteogenesis in mesenchymal stem cell engineering

Amer, Mahetab H.; Álvarez-Paino, Marta; McLaren, James; Pappalardo, Francesco; Trujillo, Sara; Wong, Jing Qian; Shrestha, Sumana; Abdelrazig, Salah; Stevens, Lee A.; Lee, Jong Bong; Kim, Dong-Hyun; González-García, Cristina; Salmerón‐Sánchez, Manuel; Shakesheff, Kevin M.; Alexander, Morgan R.; Ghaemmaghami, Amir M.; Rose, Felicity R. A. J.

doi:10.1016/j.biomaterials.2020.120450

Cited by 30 publications

(46 citation statements)

References 76 publications

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“…Forty-one metabolites, including stearic acid, oleic acid, etc., were significantly higher in culture media of hMSCs on dimpled PLA compared with smooth microparticle. Key pathways, such as aminoacyl tRNA biosynthesis, amino acid metabolism and energy-based pathways, were significantly up-regulated overall in hMSCs cultured on dimpled PLA microparticles [ 15 ]. Chatterjee et al studied the impacts of pristine and functionalized MWCNT on HepG2 and BEAS-2B cells.…”

Section: Introductionmentioning

confidence: 99%

Metabolomics analysis of poly(l-lactic acid) nanofibers' performance on PC12 cell differentiation

Huang

Chen

et al. 2021

Regenerative Biomaterials

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The aim of this article is to reveal the influence of aligned/random poly(l-lactic acid) (PLLA) nanofibers on PC12 cell differentiation from the perspective of metabolic level. First, three materials—PLLA aligned nanofibers (PLLA AF), PLLA random nanofibers (PLLA RF) and PLLA films (control)—were prepared by electrospinning and spin coating. Their surface morphologies were characterized. Subsequently, the cell viability, cell morphology and neurite length of PC12 cells on the surface of the three materials were evaluated, indicating more neurites in the PLLA RF groups but the longer average neurite length in the PLLA AF groups. Next, the metabolite profiles of PC12 cells cultured on the surface of the three nanofibers after 12 h, 24 h and 36 h showed that, compared with the control, 51, 48 and 31 types of differential metabolites were detected at the three time points among the AF groups, respectively; and 56, 45 and 41 types among the RF groups, respectively. Furthermore, the bioinformatics analysis of differential metabolites identified two pathways and three metabolites critical to PC12 cell differentiation influenced by the nanofibers. In addition, the verification experiment on critical metabolites and metabolic pathways were performed. The integrative analysis combining cytology, metabolomics and bioinformatics approaches revealed that though both PLLA AF and RF were capable of stimulating the synthesis of neurotransmitters, the PLLA AF were more beneficial for PC12 cell differentiation, whereas the PLLA RF were less effective.

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Section: Introductionmentioning

confidence: 99%

Metabolomics analysis of poly(l-lactic acid) nanofibers' performance on PC12 cell differentiation

Huang

Chen

et al. 2021

Regenerative Biomaterials

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“…Trabecular bone consists of a highly porous lattice network encompassing marrow and determines the topography of the majority of bone metastatic sites ( 29 ). Topography can be more dominant than biochemical cues and matrix elasticity in determining behavior of MSCs ( 30 ), and has been used to guide their differentiation ( 46 , 47 ). Adhesion of MSCs was also shown to be bi-phasically regulated by interfacial roughness ( 48 ).…”

Section: Role Of the Physical Microenvironment As A Driver Of Bone Metastasismentioning

confidence: 99%

Embracing Mechanobiology in Next Generation Organ-On-A-Chip Models of Bone Metastasis

Slay

Meldrum

Amer

2021

Front. Med. Technol.

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Bone metastasis in breast cancer is associated with high mortality. Biomechanical cues presented by the extracellular matrix play a vital role in driving cancer metastasis. The lack of in vitro models that recapitulate the mechanical aspects of the in vivo microenvironment hinders the development of novel targeted therapies. Organ-on-a-chip (OOAC) platforms have recently emerged as a new generation of in vitro models that can mimic cell-cell interactions, enable control over fluid flow and allow the introduction of mechanical cues. Biomaterials used within OOAC platforms can determine the physical microenvironment that cells reside in and affect their behavior, adhesion, and localization. Refining the design of OOAC platforms to recreate microenvironmental regulation of metastasis and probe cell-matrix interactions will advance our understanding of breast cancer metastasis and support the development of next-generation metastasis-on-a-chip platforms. In this mini-review, we discuss the role of mechanobiology on the behavior of breast cancer and bone-residing cells, summarize the current capabilities of OOAC platforms for modeling breast cancer metastasis to bone, and highlight design opportunities offered by the incorporation of mechanobiological cues in these platforms.

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“…Microparticles loaded with drugs, growth factors or proteins, are able to achieve specific and controlled delivery to cell cultures or as treatments, with the release being tuned further by adjusting the size and internal structure of the particles [ 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 ]. Alternatively, they can be used as a tool to direct stem cell fate, modulate the phenotype of other cells or to provide a realistic 3D environment for culture by forming scaffolds [ 3 , 12 , 13 , 14 ]. Their abilities in this role can be further enhanced by introducing specific chemistries, topographies or porosity [ 12 , 13 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

“…Alternatively, they can be used as a tool to direct stem cell fate, modulate the phenotype of other cells or to provide a realistic 3D environment for culture by forming scaffolds [ 3 , 12 , 13 , 14 ]. Their abilities in this role can be further enhanced by introducing specific chemistries, topographies or porosity [ 12 , 13 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

“…Poly(vinyl alcohol) (PVA) is frequently used to stabilise PLA/PLGA particles, due to the benefits of its polymeric structure [ 5 , 12 , 13 , 14 , 15 , 18 , 38 ]. However, in instances where the particle surface chemistry is important for the application, PVA will dominate this particle characteristic and so screen its effects.…”

Section: Introductionmentioning

confidence: 99%

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Droplet Microfluidic Optimisation Using Micropipette Characterisation of Bio-Instructive Polymeric Surfactants

et al. 2021

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Droplet microfluidics can produce highly tailored microparticles whilst retaining monodispersity. However, these systems often require lengthy optimisation, commonly based on a trial-and-error approach, particularly when using bio-instructive, polymeric surfactants. Here, micropipette manipulation methods were used to optimise the concentration of bespoke polymeric surfactants to produce biodegradable (poly(d,l-lactic acid) (PDLLA)) microparticles with unique, bio-instructive surface chemistries. The effect of these three-dimensional surfactants on the interfacial tension of the system was analysed. It was determined that to provide adequate stabilisation, a low level (0.1% (w/v)) of poly(vinyl acetate-co-alcohol) (PVA) was required. Optimisation of the PVA concentration was informed by micropipette manipulation. As a result, successful, monodisperse particles were produced that maintained the desired bio-instructive surface chemistry.

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Designing topographically textured microparticles for induction and modulation of osteogenesis in mesenchymal stem cell engineering

Cited by 30 publications

References 76 publications

Metabolomics analysis of poly(l-lactic acid) nanofibers' performance on PC12 cell differentiation

Metabolomics analysis of poly(l-lactic acid) nanofibers' performance on PC12 cell differentiation

Embracing Mechanobiology in Next Generation Organ-On-A-Chip Models of Bone Metastasis

Droplet Microfluidic Optimisation Using Micropipette Characterisation of Bio-Instructive Polymeric Surfactants

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