ArticleTissue engineering and regenerative medicine2016
Immunomodulatory effects of adipose tissue-derived stem cells on elastin scaffold remodeling in diabetes.
Article in Tissue engineering and regenerative medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Implantation of Adipose-Derived Mesenchymal Stromal Cells (ADSCs)-Lining Prosthetic Graft Promotes Vascular Regeneration in Monkeys and Pigs.Tissue engineering and regenerative medicine · 2024Article
- Aortic valve disease in diabetes: Molecular mechanisms and novel therapies.Journal of cellular and molecular medicine · 2021Review
- Adipose stem cells exhibit mechanical memory and reduce fibrotic contracture in a rat elbow injury model.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2020Article
- Pentagalloyl Glucose and Its Functional Role in Vascular Health: Biomechanics and Drug-Delivery Characteristics.Annals of biomedical engineering · 2019Review
- Challenges in vascular tissue engineering for diabetic patients.Acta biomaterialia · 2018Review
- Therapeutic potential of tonsil-derived mesenchymal stem cells in dextran sulfate sodium-induced experimental murine colitis.PloS one · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Diabetes is a major risk factor for the progression of vascular disease, contributing to elevated levels of glycoxidation, chronic inflammation and calcification. Tissue engineering emerges as a potential solution for the treatment of vascular diseases however there is a considerable gap in the understanding of how scaffolds and stem cells will perform in patients with diabetes. We hypothesized that adipose tissue-derived stem cells (ASCs) by virtue of their immunosuppressive potential would moderate the diabetes-intensified inflammatory reactions and induce positive construct remodeling. To test this hypothesis, we prepared arterial elastin scaffolds seeded with autologous ASCs and implanted them subdermally in diabetic rats and compared inflammatory markers, macrophage polarization, matrix remodeling, calcification and bone protein expression to control scaffolds implanted with and without cells in nondiabetic rats. ASC-seeded scaffolds exhibited lower levels of CD8+ T-cells and CD68+ pan-macrophages and higher numbers of M2 macrophages, smooth muscle cell-like and fibroblast-like cells. Calcification and osteogenic markers were reduced in ASCseeded scaffolds implanted in non-diabetic rats but remained unchanged in diabetes, unless the scaffolds were first pre-treated with penta-galloyl glucose (PGG), a known anti-oxidative elastin-binding polyphenol. In conclusion, autologous ASC seeding in elastin scaffolds is effective in combating diabetes-related complications. To prevent calcification, the oxidative milieu needs to be reduced by elastin-binding antioxidants such as PGG.
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Registered trials
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.