Evidence map›Paper›PMID 41028715›Full record

ArticleNature communications2025

Geometrically-engineered human motor assembloids-on-a-chip for neuromuscular interaction readout and hypoxia-driven disease modeling.

Weihua Zhang, Liming Yu, Jie Pan, Jiajia Deng, Xianqin Tong, Bingjiao Zhao, Wen Liu, Liangyan Sun, Menghan Zhang, Xinxin Han and 4 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
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

14 authors.

Weihua Zhang *Department of Orthodontics, Shanghai Stomatological Hospital & School of Stomatology, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0003-3520-9819
Liming Yu *Department of Orthodontics, Shanghai Stomatological Hospital & School of Stomatology, Fudan University, Shanghai, China.
Jie Pan *Department of Orthodontics, Shanghai Stomatological Hospital & School of Stomatology, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0003-4673-7465
Jiajia DengDepartment of Orthodontics, Shanghai Stomatological Hospital & School of Stomatology, Fudan University, Shanghai, China.
Xianqin TongDepartment of Orthodontics, Shanghai Stomatological Hospital & School of Stomatology, Fudan University, Shanghai, China.
Bingjiao ZhaoDepartment of Orthodontics, Shanghai Stomatological Hospital & School of Stomatology, Fudan University, Shanghai, China.
Wen LiuDepartment of Orthodontics, Shanghai Stomatological Hospital & School of Stomatology, Fudan University, Shanghai, China.
Liangyan SunDepartment of Orthodontics, Shanghai Stomatological Hospital & School of Stomatology, Fudan University, Shanghai, China.
Menghan ZhangStomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Zhejiang Key Laboratory of Oral Biomedical, Hangzhou, China.
Xinxin HanDepartment of Orthodontics, Shanghai Stomatological Hospital & School of Stomatology, Fudan University, Shanghai, China.
Tingjiao LiuDepartment of Orthodontics, Shanghai Stomatological Hospital & School of Stomatology, Fudan University, Shanghai, China.
Yun LuDepartment of Orthodontics, Shanghai Stomatological Hospital & School of Stomatology, Fudan University, Shanghai, China. luyun@fudan.edu.cn.ORCID http://orcid.org/0000-0003-1560-0108
Jiao LiDepartment of Orthodontics, Shanghai Stomatological Hospital & School of Stomatology, Fudan University, Shanghai, China. jiaoli@fudan.edu.cn.ORCID http://orcid.org/0009-0002-9363-1911
Yuehua LiuDepartment of Orthodontics, Shanghai Stomatological Hospital & School of Stomatology, Fudan University, Shanghai, China. liuyuehua@fudan.edu.cn.ORCID http://orcid.org/0000-0003-3033-8873

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82071153National Natural Science Foundation of China (National Science Foundation of China) 82271007Natural Science Foundation of Shanghai (Natural Science Foundation of Shanghai Municipality) 22ZR1454300
6 · The paper itself

Abstract

Precision medicine leverages stem cell-derived models to dissect complex interactions underlying disease-driven neuromuscular damage. However, such reductionist models form stochastic structures without external guidance, while available engineering solutions remain intricate. Here, simplified surface modification engineering is used to render spatially patterned human motor assembloids-on-a-chip by geometric confinement. The anisotropic architecture of skeletal muscle organoids (hSkM) can be conferred solely by localized mechanobiological cues within this predefined device without aligned scaffolds or adjuncts. The hSkM-orchestrated coupling of motor neuron spheroids (hMNS) promotes synergistic neuromuscular development. Furthermore, integration of optogenetic and microelectrode array mapping enables visualization of functional patterning in assembloids. Applied to oxygen deprivation model, hSkM exhibits structural anomalies, fatigable muscle remodeling and dysfunction, recapitulating muscle pathologies in intermittent hypoxia (IH)-associated respiratory disorders. Electrical activity mapping reveals the heterogeneity in neuromuscular responses to IH, indicating the neuroregulatory etiology of muscle dysfunction. Finally, we identify mitochondrial bioenergetic imbalance as a key IH target, proposing evaluation of NAD

Indexed as

HypoxiaLab-On-A-Chip DevicesMotor NeuronsMuscle, SkeletalAnimalsHumansOptogeneticsOrganoidsSpheroids, CellularTissue Engineering

Identifiers

PMID41028715
PMCPMC12484972

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.