Evidence map›Paper›PMID 30549205›Full record

ArticleJournal of biomedical materials research. Part B, Applied biomaterials2019

Toward zonally tailored scaffolds for osteochondral differentiation of synovial mesenchymal stem cells.

Patricia Diaz-Rodriguez, Josh D Erndt-Marino, Tanmay Gharat, Dany J Munoz Pinto, Satyavrata Samavedi, Robert Bearden, Melissa A Grunlan, W Brian Saunders, Mariah S Hahn

Abstract read
In one paragraph

Article in Journal of biomedical materials research. Part B, Applied biomaterials, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 16 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Patricia Diaz-RodriguezDepartment of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, New York.
Josh D Erndt-MarinoDepartment of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, New York.
Tanmay GharatDepartment of Chemical and Biological Engineering, Rensselaer Polytechnic Institute, Troy, New York.
Dany J Munoz PintoDepartment of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, New York.
Satyavrata SamavediDepartment of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, New York.
Robert BeardenVeterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas.
Melissa A GrunlanDepartment of Biomedical Engineering, Texas A&M University, College Station, Texas.
W Brian SaundersVeterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas.
Mariah S HahnDepartment of Chemical and Biological Engineering, Rensselaer Polytechnic Institute, Troy, New York.
Rensselaer Polytechnic Institute · USTexas A&M University · US

Funding

Bioactive, "Self-fitting" Shape Memory Polymer (SMP) Scaffolds to Treat Cranial Bone DefectsR01DE025886 · NIDCR · TEXAS ENGINEERING EXPERIMENT STATION · PI GRUNLAN, MELISSA · 2017 to 2020
$1.8M
Hybrid Inorganic-Organic Hydrogel Scaffolds for Osteochondral RegenerationR03EB015202 · NIBIB · TEXAS ENGINEERING EXPERIMENT STATION · PI GRUNLAN, MELISSA, HAHN, MARIAH S · 2012 to 2013
$138k
American Kennel Club Canine Health Foundation 02078NIBIB NIH HHS R03 EB015202NIDCR NIH HHS R01 DE025886NIH HHS R01 DE025886R03 EB015202-01
6 · The paper itself

Abstract

Synovium-derived mesenchymal stem cells (SMSCs) are an emerging cell source for regenerative medicine applications, including osteochondral defect (OCD) repair. However, in contrast to bone marrow MSCs, scaffold compositions which promote SMSC chondrogenesis/osteogenesis are still being identified. In the present manuscript, we examine poly(ethylene) glycol (PEG)-based scaffolds containing zonally-specific biochemical cues to guide SMSC osteochondral differentiation. Specifically, SMSCs were encapsulated in PEG-based scaffolds incorporating glycosaminoglycans (hyaluronan or chondroitin-6-sulfate [CSC]), low-dose of chondrogenic and osteogenic growth factors (TGFβ1 and BMP2, respectively), or osteoinductive poly(dimethylsiloxane) (PDMS). Initial studies suggested that PEG-CSC-TGFβ1 scaffolds promoted enhanced SMSC chondrogenic differentiation, as assessed by significant increases in Sox9 and aggrecan. Conversely, PEG-PDMS-BMP2 scaffolds stimulated increased levels of osteoblastic markers with significant mineral deposition. A "Transition" zone formulation was then developed containing a graded mixture of the chondrogenic and osteogenic signals present in the PEG-CSC-TGFβ1 and PEG-PDMS-BMP2 constructs. SMSCs within the "Transition" formulation displayed a phenotypic profile similar to hypertrophic chondrocytes, with the highest expression of collagen X, intermediate levels of osteopontin, and mineralization levels equivalent to "bone" formulations. Overall, these results suggest that a graded transition from PEG-CSC-TGFβ1 to PEG-PDMS-BMP2 scaffolds elicits a gradual SMSC phenotypic shift from chondrocyte to hypertrophic chondrocyte to osteoblast-like. As such, further development of these scaffold formulations for use in SMSC-based OCD repair is warranted. © 2018 Wiley Periodicals, Inc. J Biomed Mater Res Part B: Appl Biomater 107B: 2019-2029, 2019.

Indexed as

ChondrogenesisOsteogenesisTissue EngineeringAnimalsAntigens, DifferentiationDimethylpolysiloxanesDogsHumansMaleMesenchymal Stem CellsSynovial MembraneTissue ScaffoldsAntigens, DifferentiationbaysilonDimethylpolysiloxaneschondrogenesisosteochondral tissueosteogenesisPEG scaffoldssynovium-derived mesenchymal stem cells

Identifiers

PMID30549205
PMCPMC6934364
OpenAlexW2904200247

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.