Evidence map›Paper›PMID 40721379›Full record

ReviewProceedings of the Japan Academy. Series B, Physical and biological sciences2025

Molecular basis of individual locomotor function: Integrated understanding of gene expression regulation in the development and homeostasis of the musculoskeletal system.

Hiroshi Asahara

Abstract readReview
In one paragraph

Review in Proceedings of the Japan Academy. Series B, Physical and biological sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

1 author.

Hiroshi AsaharaDepartment of Systems BioMedicine, Graduate School of Medical and Dental Sciences.ORCID http://orcid.org/0000-0002-5215-8745

Funding

Mechano signals regulating tendon and ligament homeostasisR01AR080127 · NIAMS · SCRIPPS RESEARCH INSTITUTE, THE · PI Hiroshi Asahara · 2022 to 2026
$1.9M
NIAMS NIH HHS R01 AR080127
6 · The paper itself

Abstract

This review examines the molecular mechanisms controlling the development and homeostasis of the musculoskeletal system through gene expression regulation. It introduces key discoveries from basic transcriptional control to advanced mechanotransduction pathways, focusing on our contributions including the EMBRYS database for transcription factor expression analysis and the identification of RP58 in muscle development and Mohawk (Mkx) in tendon formation. We also elucidated the role of miR-140 as a critical regulator in cartilage development and homeostasis. This microRNA is specifically expressed in cartilage, promotes chondrogenesis, and is involved in protective mechanisms against cartilage degenerative diseases such as osteoarthritis. Our discovery of the PIEZO1-Mkx pathway provides a molecular mechanism linking mechanical stimuli to gene expression in tendons, explaining tissue adaptation and differences in motor abilities. Understanding these pathways offers new therapeutic strategies for tendon and ligament injuries, age-related decline, and cartilage diseases. Currently, we are proposing the concept of "tenopenia" to complement sarcopenia, addressing the mechanisms of age-related tendon deterioration. This integrated approach to the musculoskeletal system as an environment-responsive entity advances both fundamental science and clinical applications aimed at maintaining mobility throughout life.

Indexed as

Gene Expression RegulationHomeostasisLocomotionMusculoskeletal SystemAnimalsHumansMicroRNAsMicroRNAscartilagemechanotransductionmicroRNAMohawk (Mkx)musculoskeletal systemtendons

Identifiers

PMID40721379
PMCPMC12463553

What OpenQuestion holds

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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.