Evidence map›Paper›PMID 43024169›Full record

ReviewMolecular biomedicine2026

Osteoarthritis: epidemiology, risk factors, molecular pathogenesis, therapeutic progress, and future perspectives.

Kai Huang, Haili Cai

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular biomedicine, 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

2 authors.

Kai HuangTongde Hospital of Zhejiang Province, No.234 Gucui Road, Hangzhou, Zhejiang Province, China. hzhuangk@163.com.ORCID http://orcid.org/0000-0001-6714-2538
Haili CaiDepartment of Ultrasound, The 903rd Hospital of the Joint Logistic Support Force, Hangzhou, China.

Funding

National Natural Science Foundation of China 81871792Natural Science Foundation of Zhejiang Province LY23H060002Tongde Hospital of Zhejiang Province-Zhejiang Academy of Traditional Chinese Medicine Interdisciplinary Cultivation Project 2026TD-ZYYZ0004
6 · The paper itself

Abstract

Osteoarthritis (OA) is a heterogeneous whole-joint disease and a leading cause of pain and disability worldwide. Its development and progression reflect complex interactions among ageing, genetic susceptibility, mechanical stress, inflammation, and metabolic dysfunction. This review integrates current knowledge of OA epidemiology, risk factors, molecular pathogenesis, and therapeutic advances, with particular emphasis on lipid metabolism as an emerging regulator of joint homeostasis. We introduce lipid metabolic coding as a conceptual framework describing how lipid-derived substrates and signals are processed in a context-dependent manner to influence cellular identity, stress responses, and inter-tissue communication. Altered fatty-acid metabolism, de novo lipogenesis, lipid-droplet turnover, cholesterol handling, and post-translational modifications may contribute to cartilage degeneration and whole-joint pathology. We further discuss four overlapping, potentially stage-dependent lipid-associated endotypes as testable models rather than established clinical classifications. Although experimental evidence identifies promising metabolic targets, their causal relevance and therapeutic utility in human OA remain incompletely defined. Integrating longitudinal clinical data with spatial multi-omics and functional validation may clarify these mechanisms and support the development of more precisely targeted, disease-modifying therapies.

Indexed as

OsteoarthritisAnimalsHumansLipid MetabolismRisk FactorsDisease-modifying therapiesLipid metabolismMolecular endotypesOsteoarthritisPrecision medicineWhole-joint pathogenesis

Identifiers

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.