Evidence map›Paper›PMID 40141635›Full record

ArticleMaterials (Basel, Switzerland)2025

An Endogenous Proton-Powered Adaptive Nanomotor for Treating Muscle Atrophy.

Ming Liu, Zhicun Liu, Xiangkai Qiao, Cheng Chen, Hongtu Guo, Hao Gu, Junbo Li, Tiedong Sun

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 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

8 authors.

Ming LiuCollege of Chemistry, Chemical Engineering and Resource Utilization, Northeast Forestry University, Harbin 150040, China.
Zhicun LiuCollege of Chemistry, Chemical Engineering and Resource Utilization, Northeast Forestry University, Harbin 150040, China.
Xiangkai QiaoCollege of Chemistry, Chemical Engineering and Resource Utilization, Northeast Forestry University, Harbin 150040, China.ORCID 0000-0003-2877-1678
Cheng ChenCollege of Chemistry, Chemical Engineering and Resource Utilization, Northeast Forestry University, Harbin 150040, China.
Hongtu GuoCollege of Chemistry, Chemical Engineering and Resource Utilization, Northeast Forestry University, Harbin 150040, China.
Hao GuCollege of Chemistry, Chemical Engineering and Resource Utilization, Northeast Forestry University, Harbin 150040, China.
Junbo LiCollege of Chemistry, Chemical Engineering and Resource Utilization, Northeast Forestry University, Harbin 150040, China.
Tiedong SunCollege of Chemistry, Chemical Engineering and Resource Utilization, Northeast Forestry University, Harbin 150040, China.

Funding

Undergraduate Training Programs for Innovations by NEFU S202410225234
6 · The paper itself

Abstract

Nanomotors driven by endogenous enzymes are favored in biology and pharmacy due to their spontaneous driving and efficient biocatalytic activity, and have potential applications in the treatment of clinical diseases that are highly dependent on targeted effects. For diseases such as muscle atrophy, using energy molecules such as ATP to improve cellular metabolism is a relatively efficient treatment method. However, traditional adenosine triphosphate (ATP) therapies for muscle atrophy face limitations due to instability under physiological conditions and poor targeting efficiency. To address these challenges, we developed an endogenous proton-gradient-driven ATP transport motor (ATM), a nanomotor integrating chloroplast-derived F

Indexed as

biocatalyticmuscle atrophynanomotornegative chemotaxisproton gradient

Identifiers

PMID40141635
PMCPMC11943966

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.