Evidence map›Paper›PMID 30404559›Full record

ArticleAmerican journal of physiology. Cell physiology2018

Adipose-derived mesenchymal stem cells accelerate diabetic wound healing in a similar fashion as bone marrow-derived cells.

Jianming Guo, Haidi Hu, Jolanta Gorecka, Hualong Bai, Hao He, Roland Assi, Toshihiko Isaji, Tun Wang, Ocean Setia, Lara Lopes and 2 more

Abstract read
In one paragraph

Article in American journal of physiology. Cell physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing 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

49 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

12 authors.

Jianming GuoDepartment of Vascular Surgery, Xuanwu Hospital, Capital Medical University and Institute of Vascular Surgery, Capital Medical University , Beijing , China.
Haidi HuDepartment of Surgery, Yale School of Medicine , New Haven, Connecticut.
Jolanta GoreckaDepartment of Surgery, Yale School of Medicine , New Haven, Connecticut.
Hualong BaiDepartment of Surgery, Yale School of Medicine , New Haven, Connecticut.
Hao HeDepartment of Surgery, Yale School of Medicine , New Haven, Connecticut.
Roland AssiDepartment of Surgery, Yale School of Medicine , New Haven, Connecticut.
Toshihiko IsajiDepartment of Surgery, Yale School of Medicine , New Haven, Connecticut.
Tun WangDepartment of Surgery, Yale School of Medicine , New Haven, Connecticut.
Ocean SetiaDepartment of Surgery, Yale School of Medicine , New Haven, Connecticut.
Lara LopesDepartment of Surgery, Yale School of Medicine , New Haven, Connecticut.
Yongquan GuDepartment of Vascular Surgery, Xuanwu Hospital, Capital Medical University and Institute of Vascular Surgery, Capital Medical University , Beijing , China.
Alan DardikDepartment of Surgery, Yale School of Medicine , New Haven, Connecticut.

Funding

Enhancing venous adaptation to the arterial environmentR01HL128406 · NHLBI · YALE UNIVERSITY · PI DARDIK, ALAN · 2016 to 2019
$1.9M
BLRD VA I01 BX002336NHLBI NIH HHS R01 HL128406
6 · The paper itself

Abstract

We have previously shown that bone marrow-derived mesenchymal stem cells (BMSC) accelerate wound healing in a diabetic mouse model. In this study, we hypothesized that adipose tissue-derived stem cells (ADSC), cells of greater translational potential to human therapy, improve diabetic wound healing to a similar extent as BMSC. In vitro, the characterization and function of murine ADSC and BMSC as well as human diabetic and nondiabetic ADSC were evaluated by flow cytometry, cell viability, and VEGF expression. In vivo, biomimetic collagen scaffolds containing murine ADSC or BMSC were used to treat splinted full-thickness excisional back wounds on diabetic C57BL/6 mice, and human healthy and diabetic ADSC were used to treat back wounds on nude mice. Wound healing was evaluated by wound area, local VEGF-A expression, and count of CD31-positive cells. Delivery of murine ADSC or BMSC accelerated wound healing in diabetic mice to a similar extent, compared with acellular controls ( P < 0.0001). Histological analysis showed similarly increased cellular proliferation ( P < 0.0001), VEGF-A expression ( P = 0.0002), endothelial cell density ( P < 0.0001), numbers of macrophages ( P < 0.0001), and smooth muscle cells ( P < 0.0001) with ADSC and BMSC treatment, compared with controls. Cell survival and migration of ADSC and BMSC within the scaffolds were similar ( P = 0.781). Notch signaling was upregulated to a similar degree by both ADSC and BMSC. Diabetic and nondiabetic human ADSC expressed similar levels of VEGF-A ( P = 0.836) in vitro, as well as in scaffolds ( P = 1.000). Delivery of human diabetic and nondiabetic ADSC enhanced wound healing to a similar extent in a nude mouse wound model. Murine ADSC and BMSC delivered in a biomimetic-collagen scaffold are equivalent at enhancing diabetic wound healing. Human diabetic ADSC are not inferior to nondiabetic ADSC at accelerating wound healing in a nude mouse model. This data suggests that ADSC are a reasonable choice to evaluate for translational therapy in the treatment of human diabetic wounds.

Indexed as

Mesenchymal Stem Cell TransplantationAdipose TissueAnimalsBone Marrow CellsCell ProliferationCell SurvivalDiabetes Mellitus, ExperimentalGene Expression Regulation, DevelopmentalHumansMesenchymal Stem CellsMiceNeovascularization, PhysiologicPlatelet Endothelial Cell Adhesion Molecule-1Vascular Endothelial Growth Factor AWound HealingPlatelet Endothelial Cell Adhesion Molecule-1Vascular Endothelial Growth Factor Aadiposediabetesmesenchymal stem cellstissue scaffoldswound healing

Identifiers

PMID30404559
PMCPMC6336941

What OpenQuestion holds

Textmetadata
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.