Evidence map›Paper›PMID 40756130›Full record

ArticleJournal of stem cells & regenerative medicine2025

Proteomic Comparison of Conditioned Media from Mesenchymal Stem Cells of Different Human Tissues: Implications for Therapy.

Atsushi Terunuma, Chun Kai Chiu, Tatsuya Sekine, Tsubasa Takane, Yoshihisa Sekine, Keisuke Ashiba, Hiroshi Terunuma

Abstract read
In one paragraph

Article in Journal of stem cells & regenerative medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

7 authors.

Atsushi TerunumaN2 Clinic Yotsuya, Tokyo, Japan.
Chun Kai ChiuBiotherapy Institute of Japan, Tokyo, Japan.
Tatsuya SekineBiotherapy Institute of Japan, Tokyo, Japan.
Tsubasa TakaneBiotherapy Institute of Japan, Tokyo, Japan.
Yoshihisa SekineBiotherapy Institute of Japan, Tokyo, Japan.
Keisuke AshibaBiotherapy Institute of Japan, Tokyo, Japan.
Hiroshi TerunumaN2 Clinic Yotsuya, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Mesenchymal stem cells (MSCs) suppress inflammation and promote tissue repair via paracrine factors. MSC-conditioned medium (MSC-CM), rich in these factors, shows promise as a cell-free therapy. This study explored the protein profiles of MSC-CMs from different human tissues (dental pulp, adipose tissue, umbilical cord, and placenta) to assess variations and therapeutic potential. Methods: MSCs were cultured from dental pulp, adipose tissue, umbilical cord, and placenta, and MSC-CMs were collected. Proteomic analysis using LC-MS/MS identified and quantified proteins, followed by bioinformatic analysis. Results: A total of 924 secreted proteins were identified in MSC-CMs from the four tissue sources. Extracellular matrix (ECM) signatures were prominent across all MSC-CMs. MSC-CM from adipose tissue had the highest levels of skin care-related proteins. Neuronal growth-related proteins were most abundant in umbilical cord and placental MSC-CMs, while wound healing proteins were prominent in dental pulp MSC-CM. Conclusions: MSC-CMs from different tissues exhibit distinct protein profiles, while sharing common ECM signatures. These findings suggest that MSC-CM could be used for specific applications such as neurodegenerative diseases and wound healing, depending on the tissue source. Further in vivo research is needed to explore their clinical relevance.

Indexed as

CollagenConditioned MediaExtracellular MatrixLC-MS/MSMesenchymal Stem CellsProteomicsSecreted Proteins

Identifiers

PMID40756130
PMCPMC12311324

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.