Developing a high-throughput platform to direct adipogenic and osteogenic differentiation in adipose-derived stem cells.
Major LG., Choi YS.
Laboratory Study, published in J Tissue Eng Regen Med (2018) — summary generated from the PubMed abstract.
Evidence from laboratory and animal studies provides groundwork for understanding mechanisms and potential before human studies continue.
- Level A · Stronger Clinical Evidence
- Level B · Emerging clinical evidence with positive signals
- Level C · Early human research exploring benefits
- Level D · Scientific groundwork from lab and animal studies
- Emerging · Emerging topic under active research
This page is generated from the PubMed record. The Thai description is an automated summary of bibliographic fields and the abstract, not a full translation, and is not medical advice.
- Study type
- Laboratory Study
- Journal
- J Tissue Eng Regen Med (2018)
- Country
- England
- Reported sample size
- —
- Source database
- PubMed
- PMID
- 30053766
- DOI
- 10.1002/term.2736
- Citations
- 9
Abstract (original English)
The popular reductionist approach towards stem cell differentiation has identified an array of factors that can induce lineage-specific differentiation. Whether these variables direct differentiation in a multivariable setting in the same way as a single-variable setting is a question of interest. Polyacrylamide hydrogels of specific stiffness were microcontact printed with fibronectin in specific shapes and sizes to construct 54 different extracellular matrix types of defined stiffness, shape, and area. Three media types were also used to investigate the effect of both biomechanical and biochemical inducers of differentiation on adipose-derived stem cells. Stiffness was found to be a significant regulator of both adipogenic (3 kPa) and osteogenic (35 kPa) differentiation across all conditions. Biochemically induced osteogenic differentiation occurred as well as increased osteogenesis on larger extracellular matrix areas (above 5,000 μm 2 ). The absence of clear trends for all variables demonstrates the atypical expression patterns that arise when variables that may work competitively or synergistically are considered together in a single, high-throughput system.
What this study does not prove
- • This study does not prove SVF is an approved treatment or a replacement for standard care.
- • This is preclinical work; animal or laboratory results cannot be applied to humans.
Evidence level
Evidence from laboratory and animal studies provides groundwork for understanding mechanisms and potential before human studies continue.
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