Evidence map›Paper›PMID 35877505›Full record

ArticleGels (Basel, Switzerland)2022

Gellan Gum Is a Suitable Biomaterial for Manual and Bioprinted Setup of Long-Term Stable, Functional 3D-Adipose Tissue Models.

Franziska B Albrecht, Vera Dolderer, Svenja Nellinger, Freia F Schmidt, Petra J Kluger

Abstract read
In one paragraph

Article in Gels (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Franziska B AlbrechtReutlingen Research Institute, Reutlingen University, 72762 Reutlingen, Germany.
Vera DoldererFaculty Science, Energy and Building Services, Esslingen University, 73728 Esslingen am Neckar, Germany.
Svenja NellingerReutlingen Research Institute, Reutlingen University, 72762 Reutlingen, Germany.
Freia F SchmidtReutlingen Research Institute, Reutlingen University, 72762 Reutlingen, Germany.
Petra J KlugerFaculty of Applied Chemistry, Reutlingen University, 72762 Reutlingen, Germany.ORCID 0000-0001-6784-7378

Funding

Avina Foundation, Switzerland n.a.Ministry of Science, Research, and Arts Baden Württemberg IP 2019
6 · The paper itself

Abstract

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.

Indexed as

3D bioprintingadipocyteshuman primary ASCshydrogelslong-term stability

Identifiers

PMID35877505
PMCPMC9315477

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.