Evidence map›Paper›PMID 33646886›Full record

ArticleThe American journal of sports medicine2021

Strategies to Identify Mesenchymal Stromal Cells in Minimally Manipulated Human Bone Marrow Aspirate Concentrate Lack Consensus.

Severin Ruoss, J Todd Walker, Chanond A Nasamran, Kathleen M Fisch, Conner J Paez, Jesal N Parekh, Scott T Ball, Jeffrey L Chen, Sonya S Ahmed, Samuel R Ward

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PubMed Full text at PMC Publisher
In one paragraph

Article in The American journal of sports medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Demographic Factors Affect the BMAC Proteome.Journal of proteome research · 2026
    Article
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  3. Article
  4. Article
  5. Article
  6. The Art of Stem Cell-Based Therapy.Advances in experimental medicine and biology · 2023
    Article
  7. Article
  8. Article
  9. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Severin RuossDepartment of Orthopaedic Surgery, University of California San Diego, La Jolla, California, USA.
J Todd WalkerDepartment of Orthopaedic Surgery, University of California San Diego, La Jolla, California, USA.
Chanond A NasamranCenter for Computational Biology and Bioinformatics, Department of Medicine, University of California San Diego, La Jolla, California, USA.
Kathleen M FischCenter for Computational Biology and Bioinformatics, Department of Medicine, University of California San Diego, La Jolla, California, USA.
Conner J PaezDepartment of Orthopaedic Surgery, University of California San Diego, La Jolla, California, USA.
Jesal N ParekhDepartment of Orthopaedic Surgery, University of California San Diego, La Jolla, California, USA.
Scott T BallDepartment of Orthopaedic Surgery, University of California San Diego, La Jolla, California, USA.
Jeffrey L ChenDepartment of Orthopaedic Surgery, University of California San Diego, La Jolla, California, USA.
Sonya S AhmedDepartment of Orthopaedic Surgery, University of California San Diego, La Jolla, California, USA.
Samuel R WardDepartment of Orthopaedic Surgery, University of California San Diego, La Jolla, California, USA.

Funding

UC San Diego Clinical and Translational Research InstituteUL1TR001442 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S, HOGARTH, MICHAEL · 2015 to 2024
$88.3M
NCATS NIH HHS UL1 TR001442
6 · The paper itself

Abstract

backgroundThere is a need to identify and quantify mesenchymal stromal cells (MSCs) in human bone marrow aspirate concentrate (BMAC) source tissues, but current methods to do so were established in cultured cell populations. Given that surface marker and gene expression change in cultured cells, it is doubtful that these strategies are valid to quantify MSCs in fresh BMAC. PURPOSE: To establish the presence, quantity, and heterogeneity of BMAC-derived MSCs in minimally manipulated BMAC using currently available strategies. STUDY

designDescriptive laboratory study.

methodsFive published strategies to identify MSCs were compared for suitability and efficiency to quantify clinical-grade BMAC-MSCs and cultured MSCs at the single cell transcriptome level on BMAC samples being used clinically from 15 orthopaedic patients and on 1 cultured MSC sample. Strategies included (1) the guidelines by the International Society for Cellular Therapy (ISCT), (2) CD271 expression, (3) the Ghazanfari et al transcriptional profile, (4) the Jia et al transcriptional profile, and (5) the Silva et al transcriptional profile.

resultsISCT guidelines did not identify any MSCs in BMAC at the transcriptional level and only 1 in 9 million cells at the protein level. Of 12,850 BMAC cells, 9 expressed the CD271 gene. Only 116 of 396 Ghazanfari genes were detected in BMAC, whereas no cells expressed all of them. No cells expressed all Jia genes, but 25 cells expressed at least 13 of 22. No cells expressed all Silva genes, but 19 cells expressed at least 8 of 23. Most importantly, the liberalized strategies tended to identify different cells and most of them clustered with immune cells.

conclusionCurrently available methods need to be liberalized to identify any MSCs in fresh human BMAC and lack consensus at the single cell transcriptome and protein expression levels. These different cells should be isolated and challenged to establish phenotypic differences. CLINICAL RELEVANCE: This study demonstrated that improved strategies to quantify MSC concentrations in BMAC for clinical applications are urgently needed. Until then, injected minimally manipulated MSC doses should be reported as rough estimates or as unknown.

Indexed as

Mesenchymal Stem CellsBone MarrowBone Marrow CellsBone Marrow TransplantationCells, CulturedConsensusHumansbone marrow aspirate concentratemesenchymal stromal cellssingle-cell RNA sequencingstem cell marker

Identifiers

PMID33646886
PMCPMC8409176

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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.