Evidence map›Paper›PMID 42857114›Full record

ReviewMechanobiology in medicine2026

Translating mechanobiology in osteoarthritis to biomaterial-informed therapeutic strategies.

Ziqi Gao, Yule Zheng, Hongxiang Mei, Juan Li

Abstract readReview
In one paragraph

Review in Mechanobiology in medicine, 2026. 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

4 authors.

Ziqi GaoState Key Laboratory of Oral Diseases, National Center for Stomatology, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, 610041, China.
Yule ZhengState Key Laboratory of Oral Diseases, National Center for Stomatology, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, 610041, China.
Hongxiang MeiState Key Laboratory of Oral Diseases, National Center for Stomatology, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, 610041, China.
Juan LiState Key Laboratory of Oral Diseases, National Center for Stomatology, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, 610041, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoarthritis (OA) is the most prevalent degenerative joint disease worldwide, affecting approximately 250 million individuals. Mechanical imbalance serves as both its primary driving force and pathological hallmark. Mechanobiology-based interventions remain constrained by an insufficient understanding of how chondrocytes perceive and adapt to aberrant mechanical environments. Here, we review the cascading mechanisms linking mechanical imbalance to cellular dysfunction in OA and emerging therapeutic strategies targeting these mechanobiological processes. At the biomechanical level, joint mechanical imbalance encompasses both abnormal exogenous loading (trauma, obesity, joint deformity) and alterations in extracellular and pericellular matrix properties, with spatial heterogeneity and temporal dynamics throughout disease progression. At the cellular level, chondrocytes perceive mechanical signals through primary mechanosensors, including mechanosensitive ion channels (Piezo1/2, TRPV4), integrin-focal adhesion complexes, and primary cilia. These signals initiate Ca

Indexed as

ChondrocytesHydrogelMechanobiologyNanomaterialOsteoarthritis

Identifiers

PMID42857114
PMCPMC13651664

What OpenQuestion holds

Textmetadata
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.