Evidence map›Paper›PMID 41145481›Full record

ArticleNPJ microgravity2025

Abdominal LIPUS ameliorates simulated microgravity induced skeletal muscle atrophy via the gut-muscle axis.

Yanan Yu, Yumei Zheng, Huiyuan Zhang, Xiushan Fan, Jianzhong Guo, Lijun Sun, Liang Tang, Dean Ta

Abstract read
In one paragraph

Article in NPJ microgravity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Yanan YuInstitute of Sports Biology, Shaanxi Normal University, Xi'an, China.
Yumei ZhengInstitute of Sports Biology, Shaanxi Normal University, Xi'an, China.
Huiyuan ZhangInstitute of Sports Biology, Shaanxi Normal University, Xi'an, China.
Xiushan FanInstitute of Sports Biology, Shaanxi Normal University, Xi'an, China.
Jianzhong GuoShaanxi Key Laboratory of Ultrasonics, Shaanxi Normal University, Xi'an, China.
Lijun SunInstitute of Sports Biology, Shaanxi Normal University, Xi'an, China. sunlijun@snnu.edu.cn.
Liang TangInstitute of Sports Biology, Shaanxi Normal University, Xi'an, China. tl531@snnu.edu.cn.
Dean TaCenter for Biomedical Engineering, School of Information Science and Technology, Fudan University, Shanghai, China. tda@fudan.edu.cn.

Funding

National Natural Science Foundation of China 12034005National Natural Science Foundation of China 12374442, 11974233Natural Science Foundation of Shaanxi Province 2025JC-YBMS-046
6 · The paper itself

Abstract

Study investigated if abdominal low-intensity pulsed ultrasound (LIPUS) alleviates simulated microgravity (hindlimb unloading, HU)-induced skeletal muscle atrophy by restoring gut microbiota. Mice were divided into control (NC), HU, and HU with daily abdominal LIPUS (HU + LIPUS) groups. Fecal microbiota transplantation (FMT) from LIPUS-treated mice to HU mice was also performed. After 28 days, abdominal LIPUS partially reversed HU-induced gut dysbiosis, restored intestinal barrier integrity, and increased short-chain fatty acid (SCFAs) levels. LIPUS downregulated muscle atrophy genes (MSTN, ActRIIB) and upregulated growth genes (Akt, mTOR) in HU mice, preventing muscle loss. SCFAs levels positively correlated with muscle function. HU mice receiving FMT from LIPUS-treated donors showed similar gut and muscle improvements as direct LIPUS treatment. Results demonstrate abdominal LIPUS ameliorates muscle atrophy by modulating the gut-muscle axis, offering a potential non-invasive strategy for astronauts and patients.

Identifiers

PMID41145481
PMCPMC12559376

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.