Evidence map›Paper›PMID 33441693›Full record

ArticleScientific reports2021

Multi-pronged approach to human mesenchymal stromal cells senescence quantification with a focus on label-free methods.

Weichao Zhai, Jerome Tan, Tobias Russell, Sixun Chen, Dennis McGonagle, May Win Naing, Derrick Yong, Elena Jones

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  6. Bioengineering (Basel, Switzerland) · 2024
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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

8 authors.

Weichao ZhaiBioprocessing Technology Institute, A*STAR, 20 Biopolis Way, Centros, 06-01, Singapore.
Jerome TanBioprocessing Technology Institute, A*STAR, 20 Biopolis Way, Centros, 06-01, Singapore.
Tobias RussellLeeds Institute of Rheumatic and Musculoskeletal Medicine, Leeds, UK.
Sixun ChenBioprocessing Technology Institute, A*STAR, 20 Biopolis Way, Centros, 06-01, Singapore.
Dennis McGonagleLeeds Institute of Rheumatic and Musculoskeletal Medicine, Leeds, UK.
May Win NaingBioprocessing Technology Institute, A*STAR, 20 Biopolis Way, Centros, 06-01, Singapore.
Derrick YongSingapore Institute of Manufacturing Technology, A*STAR, 2 Fusionopolis Way, Innovis, 08-04, Singapore. derrick-yong@simtech.a-star.edu.sg.
Elena JonesLeeds Institute of Rheumatic and Musculoskeletal Medicine, Leeds, UK. E.Jones@leeds.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human mesenchymal stromal cells (hMSCs) have demonstrated, in various preclinical settings, consistent ability in promoting tissue healing and improving outcomes in animal disease models. However, translation from the preclinical model into clinical practice has proven to be considerably more difficult. One key challenge being the inability to perform in situ assessment of the hMSCs in continuous culture, where the accumulation of the senescent cells impairs the culture's viability, differentiation potential and ultimately leads to reduced therapeutic efficacies. Histochemical [Formula: see text]-galactosidase staining is the current standard for measuring hMSC senescence, but this method is destructive and not label-free. In this study, we have investigated alternatives in quantification of hMSCs senescence, which included flow cytometry methods that are based on a combination of cell size measurements and fluorescence detection of SA-[Formula: see text]-galactosidase activity using the fluorogenic substrate, C[Formula: see text]FDG; and autofluorescence methods that measure fluorescence output from endogenous fluorophores including lipopigments. For identification of senescent cells in the hMSC batches produced, the non-destructive and label-free methods could be a better way forward as they involve minimum manipulations of the cells of interest, increasing the final output of the therapeutic-grade hMSC cultures. In this work, we have grown hMSC cultures over a period of 7 months and compared early and senescent hMSC passages using the advanced flow cytometry and autofluorescence methods, which were benchmarked with the current standard in [Formula: see text]-galactosidase staining. Both the advanced methods demonstrated statistically significant values, (r = 0.76, p [Formula: see text] 0.001 for the fluorogenic C[Formula: see text]FDG method, and r = 0.72, p [Formula: see text] 0.05 for the forward scatter method), and good fold difference ranges (1.120-4.436 for total autofluorescence mean and 1.082-6.362 for lipopigment autofluorescence mean) between early and senescent passage hMSCs. Our autofluroescence imaging and spectra decomposition platform offers additional benefit in label-free characterisation of senescent hMSC cells and could be further developed for adoption for future in situ cellular senescence evaluation by the cell manufacturers.

Indexed as

Agingbeta-GalactosidaseCell SizeFlow CytometryFluorescenceHumansMesenchymal Stem Cellsbeta-Galactosidase

Identifiers

PMID33441693
PMCPMC7807049

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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.