Evidence map›Paper›PMID 39286640›Full record

ArticleRegenerative therapy2024

Developing engineered muscle tissues utilizing standard cell culture plates and mesenchymal stem cell-conditioned medium.

Yihao Wen, Jia Tian, Juan Li, Xiangming Na, Ziyi Yu, Weiqing Zhou

Abstract read
In one paragraph

Article in Regenerative therapy, 2024. 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

6 authors.

Yihao WenState Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Nanjing Tech University, Nanjing 211816, China.
Jia TianState Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China.
Juan LiState Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China.
Xiangming NaState Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China.
Ziyi YuState Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Nanjing Tech University, Nanjing 211816, China.
Weiqing ZhouState Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The construction of engineered muscle tissues that resemble the function and microstructure of human muscles holds significant promise for various applications, including disease modeling, regenerative medicine, and biological machines. However, current muscle tissue engineering approaches often rely on complex equipment which may limit their accessibility and practicality. Herein, we present a convenient approach using a standard 24-well cell culture plate to construct a platform to facilitate engineered muscle tissues formation and culture. Using this platform, engineered muscle tissue with differentiation characteristics can be manufactured in large quantities. Additionally, the mesenchymal stem cell conditioned medium was utilized to promote the formation and functionality of the engineered muscle tissues. The resulting tissues comprised a higher cell density and a better differentiation effect in the tissues. Taken together, this study provides a simple, convenient, and effective platform for studying muscle tissue engineering.

Indexed as

Conditioned mediumMesenchymal stem cellsMyogenesisSkeletal muscleTissue engineering

Identifiers

PMID39286640
PMCPMC11403061

What OpenQuestion holds

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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.