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Article
2022

Gellan gum is a suitable biomaterial for manual and bioprinted setup of long-term stable, functional 3D-adipose tissue models

Abstract (English)

Due to its wide-ranging endocrine functions, adipose tissue influences the whole body’s metabolism. Engineering long-term stable and functional human adipose tissue is still challenging due to the limited availability of suitable biomaterials and adequate cell maturation. We used gellan gum (GG) to create manual and bioprinted adipose tissue models because of its similarities to the native extracellular matrix and its easily tunable properties. Gellan gum itself was neither toxic nor monocyte activating. The resulting hydrogels exhibited suitable viscoelastic properties for soft tissues and were stable for 98 days in vitro. Encapsulated human primary adipose-derived stem cells (ASCs) were adipogenically differentiated for 14 days and matured for an additional 84 days. Live-dead staining showed that encapsulated cells stayed viable until day 98, while intracellular lipid staining showed an increase over time and a differentiation rate of 76% between days 28 and 56. After 4 weeks of culture, adipocytes had a univacuolar morphology, expressed perilipin A, and secreted up to 73% more leptin. After bioprinting establishment, we demonstrated that the cells in printed hydrogels had high cell viability and exhibited an adipogenic phenotype and function. In summary, GG-based adipose tissue models show long-term stability and allow ASCs maturation into functional, univacuolar adipocytes.

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Gels, 8 (2022), 7, 420. https://doi.org/10.3390/gels8070420. ISSN: 2310-2861
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English

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610 Medicine and health

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Sustainable Development Goals

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@article{Albrecht2022, url = {https://hohpublica.uni-hohenheim.de/handle/123456789/16747}, doi = {10.3390/gels8070420}, author = {Albrecht, Franziska B. and Dolderer, Vera and Nellinger, Svenja et al.}, title = {Gellan Gum Is a Suitable Biomaterial for Manual and Bioprinted Setup of Long-Term Stable, Functional 3D-Adipose Tissue Models}, journal = {Gels}, year = {2022}, volume = {8}, number = {7}, }
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