Evidence map›Paper›PMID 30398401›Full record

ArticleTissue engineering. Part C, Methods2018

Evaluation of Different Decellularization Protocols on the Generation of Pancreas-Derived Hydrogels.

Roberto Gaetani, Soraya Aude, Lea Lara DeMaddalena, Heinz Strassle, Monika Dzieciatkowska, Matthew Wortham, R Hugh F Bender, Kim-Vy Nguyen-Ngoc, Geert W Schmid-Schöenbein, Steven C George and 4 more

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Tissue engineering. Part C, Methods, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
7.8field-weighted citation impact, top 2% of its field
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

45 citing papers in PubMed, 81 citations in OpenAlex.

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  14. Development of porcine skeletal muscle extracellular matrix-derived hydrogels with improved properties and low immunogenicity.Proceedings of the National Academy of Sciences of the United States of America · 2024
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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

14 authors at 4 institutions in 1 country.

Roberto GaetaniDepartment of Bioengineering, University of California San Diego, La Jolla, California.
Soraya AudeDepartment of Bioengineering, University of California San Diego, La Jolla, California.
Lea Lara DeMaddalenaDepartment of Bioengineering, University of California San Diego, La Jolla, California.
Heinz StrassleDepartment of Bioengineering, University of California San Diego, La Jolla, California.
Monika DzieciatkowskaDepartment of Biochemistry and Molecular Genetics, University of Colorado, Aurora, Colorado.
Matthew WorthamDepartments of Pediatrics and Cellular and Molecular Medicine, Pediatric Diabetes Research Center, University of California San Diego, La Jolla, California.
R Hugh F BenderDepartment of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, California.
Kim-Vy Nguyen-NgocDepartments of Pediatrics and Cellular and Molecular Medicine, Pediatric Diabetes Research Center, University of California San Diego, La Jolla, California.
Geert W Schmid-SchöenbeinDepartment of Bioengineering, University of California San Diego, La Jolla, California.
Steven C GeorgeDepartment of Biomedical Engineering, University of California, Davis, Davis, California.
Christopher C W HughesDepartment of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, California.
Maike SanderDepartments of Pediatrics and Cellular and Molecular Medicine, Pediatric Diabetes Research Center, University of California San Diego, La Jolla, California.
Kirk C HansenDepartment of Biochemistry and Molecular Genetics, University of Colorado, Aurora, Colorado.
Karen L ChristmanDepartment of Bioengineering, University of California San Diego, La Jolla, California.
University of California San Diego · USUniversity of California, Irvine · USUniversity of Colorado Anschutz Medical Campus · USUniversity of California, Davis · US

Funding

A 3-D biomimetic human islet to model beta cell function in health and diseaseUC4DK104202 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHRISTMAN, KAREN L, GEORGE, STEVEN CARL · 2014 to 2016
$4.9M
A 3D vascularized islet biomimetic to model type 1 diabetesUG3DK122639 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HUGHES, CHRISTOPHER C. W., SANDER, MAIKE · 2019 to 2020
$2.1M
Advanced Methods to Evaluate Extracellular Matrix and Crosslinking in the Tumor MR33CA183685 · NCI · UNIVERSITY OF COLORADO DENVER · PI HANSEN, KIRK C, WEAVER, VALERIE MARIE · 2014 to 2016
$1.1M
NCI NIH HHS R33 CA183685NIDDK NIH HHS UC4 DK104202NIDDK NIH HHS UG3 DK122639
6 · The paper itself

Abstract

Different approaches have investigated the effects of different extracellular matrices (ECMs) and three-dimensional (3D) culture on islet function, showing encouraging results. Ideally, the proper scaffold should mimic the biochemical composition of the native tissue as it drives numerous signaling pathways involved in tissue homeostasis and functionality. Tissue-derived decellularized biomaterials can preserve the ECM composition of the native tissue making it an ideal scaffold for 3D tissue engineering applications. However, the decellularization process may affect the retention of specific components, and the choice of a proper detergent is fundamental in preserving the native ECM composition. In this study, we evaluated the effect of different decellularization protocols on the mechanical properties and biochemical composition of pancreatic ECM (pECM) hydrogels. Fresh porcine pancreas tissue was harvested, cut into small pieces, rinsed in water, and treated with two different detergents (sodium dodecyl sulfate [SDS] or Triton X-100) for 1 day followed by 3 days in water. Effective decellularization was confirmed by PicoGreen assay, Hoescht, and H&E staining, showing no differences among groups. Use of a protease inhibitor (PI) was also evaluated. Effective decellularization was confirmed by PicoGreen assay and hematoxylin and eosin (H&E) staining, showing no differences among groups. Triton-treated samples were able to form a firm hydrogel under appropriate conditions, while the use of SDS had detrimental effects on the gelation properties of the hydrogels. ECM biochemical composition was characterized both in the fresh porcine pancreas and all decellularized pECM hydrogels by quantitative mass spectrometry analysis. Fibrillar collagen was the major ECM component in all groups, with all generated hydrogels having a higher amount compared with fresh pancreas. This effect was more pronounced in the SDS-treated hydrogels when compared with the Triton groups, showing very little retention of other ECM molecules. Conversely, basement membrane and matricellular proteins were better retained when the tissue was pretreated with a PI and decellularized in Triton X-100, making the hydrogel more similar to the native tissue. In conclusion, we showed that all the protocols evaluated in the study showed effective tissue decellularization, but only when the tissue was pretreated with a PI and decellularized in Triton detergent, the biochemical composition of the hydrogel was closer to the native tissue ECM. Impact Statement The article compares different methodologies for the generation of a pancreas-derived hydrogel for tissue engineering applications. The biochemical characterization of the newly generated hydrogel shows that the material retains all the extracellular molecules of the native tissue and is capable of sustaining functionality of the encapsulated beta-cells.

Indexed as

AnimalsCell LineExtracellular MatrixFluorescenceGlucoseGlycosaminoglycansHydrogelsInsulin SecretionPancreasPepsin AProteomicsRatsSulfatesSwineTissue EngineeringTissue SurvivalGlucoseGlycosaminoglycansHydrogelsPepsin ASulfatescell encapsulationdecellularizationdiabetesextracellular matrixhydrogelpancreastissue engineering

Identifiers

PMID30398401
PMCPMC6306687
OpenAlexW2900213480

What OpenQuestion holds

Textmetadata
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Registered trials

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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.