Evidence map›Paper›PMID 40654519›Full record

ArticleRegenerative therapy2025

Trehalose enhances neuronal differentiation with VEGF secretion in human iPSC-derived neural stem/progenitor cells.

Sean K Roose, Yoichi Mizukami, Jun Muto, Hideyuki Okano, Masaya Nakamura, Narihito Nagoshi

Abstract read
In one paragraph

Article in Regenerative therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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.

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

6 authors.

Sean K RooseDepartment of Orthopaedic Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-Ku, Tokyo 160-8582, Japan.
Yoichi MizukamiInstitute of Gene Research, Yamaguchi University Science Research Center, 1-1-1 MinamiKogushi, Ube-Shi, Yamaguchi 755-8505, Japan.
Jun MutoDepartment of Dermatology, Ehime University Graduate School of Medicine, 454 Shitsukawa, Touon-Shi, Ehime 791-0295, Japan.
Hideyuki OkanoKeio University Regenerative Medicine Research Center, 3-25-10 Tonomachi, Kawasaki-Ku, Kawasaki, Kanagawa 210-0821 Japan.
Masaya NakamuraDepartment of Orthopaedic Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-Ku, Tokyo 160-8582, Japan.
Narihito NagoshiDepartment of Orthopaedic Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-Ku, Tokyo 160-8582, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cell transplantation therapy has emerged as a promising approach in regenerative medicine for treating neurological diseases. Neural stem/progenitor cell (NS/PC) transplantation has demonstrated therapeutic efficacy; however, its potential remains limited by suboptimal differentiation and insufficient secretion of pro-healing growth factors. Trehalose, a glucose disaccharide, has been shown to exert neuroprotective effects by inducing autophagy and stabilizing cellular structures. Recent studies suggest that trehalose can modulate growth factor secretion through the CDKN1A/p21 pathway. However, its impact on human induced pluripotent stem cell-derived NS/PCs (hiPSC-NS/PCs) remains unclear. This study investigates the effect of trehalose on neuronal differentiation, cell viability, and growth factor expression in hiPSC-NS/PCs to explore its potential in enhancing transplantation therapy. Methods: hiPSC-NS/PCs were cultured as neurospheres and treated with trehalose (10 mg/ml or 40 mg/ml) for 7 days. Cell viability was assessed using CellTiter Glo® assay. Gene expression analysis was conducted via qRT-PCR and RNA-seq, particularly focusing on Results: Treatment with 10 mg/ml trehalose upregulated Conclusion: Trehalose enhances neuronal differentiation and

Indexed as

Induced pluripotent stem cellsNeural stem/progenitor cellsNeuronal differentiationSOX2TrehaloseVascular endothelial growth factor

Identifiers

PMID40654519
PMCPMC12246652

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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.