Evidence map›Paper›PMID 29352188›Full record

ArticleScientific reports2018

Efficient scalable production of therapeutic microvesicles derived from human mesenchymal stem cells.

Jae Min Cha, Eun Kyoung Shin, Ji Hee Sung, Gyeong Joon Moon, Eun Hee Kim, Yeon Hee Cho, Hyung Dal Park, Hojae Bae, Jinseok Kim, Oh Young Bang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 105 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
105citing papers in PubMed, 4 pooled it
7.0field-weighted citation impact, top 2% 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

105 citing papers in PubMed, 4 syntheses or guidelines pooled it, 174 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Pooled it
  4. Pooled it
  5. Review
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  7. Article
  8. Article
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  13. Microenvironmental Modulation for Therapeutic Efficacy of Extracellular Vesicles.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  14. Article
  15. Article
  16. Therapeutic Potential of Extracellular Vesicles in Oral Inflammation.International journal of molecular sciences · 2025
    Review
  17. Review
  18. Review
  19. Article
  20. Article

45 more citing papers are in PubMed but not listed here.

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

10 authors at 4 institutions in 1 country.

Jae Min ChaMedical Device Research Centre, Research Institute for Future Medicine, Samsung Medical Centre, Seoul, 06351, Republic of Korea.ORCID http://orcid.org/0000-0002-8713-2078
Eun Kyoung ShinTranslational and Stem Cell Research Laboratory on Stroke, Samsung Medical Centre, Seoul, 06351, Republic of Korea.
Ji Hee SungTranslational and Stem Cell Research Laboratory on Stroke, Samsung Medical Centre, Seoul, 06351, Republic of Korea.
Gyeong Joon MoonTranslational and Stem Cell Research Laboratory on Stroke, Samsung Medical Centre, Seoul, 06351, Republic of Korea.
Eun Hee KimTranslational and Stem Cell Research Laboratory on Stroke, Samsung Medical Centre, Seoul, 06351, Republic of Korea.
Yeon Hee ChoTranslational and Stem Cell Research Laboratory on Stroke, Samsung Medical Centre, Seoul, 06351, Republic of Korea.
Hyung Dal ParkCentre for Bionics of Biomedical Research Institute, Korea Institute of Science and Technology, Seoul, 03722, Republic of Korea.
Hojae BaeKU Convergence Science and Technology Institute, Department of Stem Cell and Regenerative Biology, Konkuk University, Seoul, 05029, Republic of Korea.
Jinseok KimCentre for Bionics of Biomedical Research Institute, Korea Institute of Science and Technology, Seoul, 03722, Republic of Korea. jinseok@kist.re.kr.
Oh Young BangTranslational and Stem Cell Research Laboratory on Stroke, Samsung Medical Centre, Seoul, 06351, Republic of Korea. ohyoung.bang@samsung.com.
Samsung Medical Center · KRKonkuk University · KRKorea Institute of Science and Technology · KRYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microvesicles (MVs) released by cells are involved in a multitude of physiological events as important mediators of intercellular communication. MVs derived from mesenchymal stem cells (MSCs) contain various paracrine factors from the cells that primarily contribute to their therapeutic efficacy observed in numerous clinical trials. As nano-sized and bi-lipid layered vesicles retaining therapeutic potency equivalent to that of MSCs, MSC-derived MVs have been in focus as ideal medicinal candidates for regenerative medicine, and are preferred over MSC infusion therapy with their improved safety profiles. However, technical challenges in obtaining sufficient amounts of MVs have limited further progress in studies and clinical application. Of the multiple efforts to reinforce the therapeutic capacity of MSCs, few studies have reportedly examined the scale-up of MSC-derived MV production. In this study, we successfully amplified MV secretion from MSCs compared to the conventional culture method using a simple and efficient 3D-bioprocessing method. The MSC-derived MVs produced in our dynamic 3D-culture contained numerous therapeutic factors such as cytokines and micro-RNAs, and showed their therapeutic potency in in vitro efficacy evaluation. Our results may facilitate diverse applications of MSC-derived MVs from the bench to the bedside, which requires the large-scale production of MVs.

Indexed as

Batch Cell Culture TechniquesBiological FactorsCell-Derived MicroparticlesGene Expression ProfilingHumansMesenchymal Stem CellsNeovascularization, PhysiologicNeurogenesisParticle SizeTranscriptomeBiological Factors

Identifiers

PMID29352188
PMCPMC5775399
OpenAlexW2783658058

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.