Evidence map›Paper›PMID 36574167›Full record

ReviewInternational journal of hematology2023

Ex vivo manufacturing of platelets: beyond the first-in-human clinical trial using autologous iPSC-platelets.

Si Jing Chen, Naoshi Sugimoto, Koji Eto

Abstract readReview
In one paragraph

Review in International journal of hematology, 2023. 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.

  1. Laboratory Assessment and Clinical Outlook forAnnals of laboratory medicine · 2026
    Review
  2. Article
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  11. Frontiers in immunology · 2025
    Review
  12. Review
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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

3 authors.

Si Jing ChenDepartment of Clinical Application, Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan. sjchen@cira.kyoto-u.ac.jp.ORCID http://orcid.org/0000-0002-7857-1140
Naoshi SugimotoDepartment of Clinical Application, Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan.
Koji EtoDepartment of Clinical Application, Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan. kojieto@cira.kyoto-u.ac.jp.

Funding

Japan Agency for Medical Research and Development 22bm0704051h0003Japan Society for the Promotion of Science 21H05047Japan Society for the Promotion of Science 22K13124
6 · The paper itself

Abstract

Platelet transfusion is a common clinical approach to providing platelets to patients suffering from thrombocytopenia or other ailments that require an additional platelet source. However, a stable supply of platelet products is challenged by aging societies, pandemics, and other factors. Many groups have made extensive efforts toward the in vitro generation of platelets for clinical application. We established immortalized megakaryocyte progenitor cell lines (imMKCLs) from human induced pluripotent stem cells (iPSCs) and achieved clinical-scale manufacturing of iPSC-derived platelets (iPSC-PLTs) from them by identifying turbulent flow as a key physical condition. We later completed the iPLAT1 study, the first-in-human clinical trial using autologous iPSC-PLTs. This review summarizes current findings on the ex vivo generation of iPSC-PLTs that led to the iPLAT1 study and beyond. We also discuss new insights regarding the heterogeneity of megakaryocytes and the implications for the ex vivo generation of iPSC-PLTs.

Indexed as

Blood PlateletsInduced Pluripotent Stem CellsCell Culture TechniquesHumansMegakaryocytesPlatelet TransfusionClinical trialiPSCMegakaryocytesPlatelets

Identifiers

PMID36574167
PMCPMC9792917

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.