Evidence map›Paper›PMID 36713792›Full record

ArticleJournal of stem cells & regenerative medicine2022

Comparative characterization of frozen-thawed CD146+ and CD146- subsets of CD73+CD90+CD105+CD34+ human ASCs.

Ying Yu, Haisong Li

Open access · goldAbstract read
In one paragraph

Article in Journal of stem cells & regenerative medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 45% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 1 institution in 1 country.

Ying YuDepartment of Neurosurgery, the First Hospital of Jilin University, Changchun, Jilin, China.
Haisong LiDepartment of Neurosurgery, the First Hospital of Jilin University, Changchun, Jilin, China.
Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mesenchymal stem cells are currently used to treat several diseases. Populations of putative stem cells found in the adipose tissue (ASCs) have been shown to possess particularly enhanced functionalities. Nonetheless, there is lack of evidence that evaluates the effects of cryopreservation techniques on well-defined functional ASC populations characterized by immunophenotypical repertoire. Objective: We therefore embarked a study to compare the frozen-thawed ASC subsets: CD73+CD90+CD105+CD34+CD146-(CD34+CD146), CD73+CD90+CD105+CD34+CD146+(CD34+CD146+), and CD73+CD90+CD105+CD34+(CD34+). We assessed their characterization in different functional assays. Method: The ASC immunophenotypical subsets-purified by a flow cytometry sorting technique-were frozen in liquid nitrogen. After a period, they were thawed to examine their differentiation ability, colony-forming units, viability, and growth rate. Results: We confirmed that inside the primary cell culture system, the proportion of CD34+, CD34+CD146-, and CD34+CD146+ took up 80%, 62%, and 19% on average, respectively. All populations could be frozen and stored in liquid nitrogen with retention of more than 85% of cell viability and displayed comparable stemness characteristics. Most importantly, the CD34+CD146+ subpopulation displayed a higher proliferation rate than other groups. Conclusion: Our data demonstrated that the frozen-thawed CD34+CD146+ cells might represent a promising source for autologous cellular-based therapy. These findings set the basis for ASC subpopulations-based application in future potential clinical settings.

Indexed as

Adipose-derived mesenchymal stem cellsHeterogeneousProangiogenesisRegenerative medicineSubpopulation

Identifiers

PMID36713792
PMCPMC9837695
OpenAlexW4313314074

What OpenQuestion holds

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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.