Evidence map›Paper›PMID 41850316›Full record

ArticleJournal of bone metabolism2026

Fatty Acid-Sensing G Protein-Coupled Receptors in Skeletal Metabolism.

Hyun-Ju Kim, Dong-Kyo Lee, Xiangguo Che, Sihoon Lee, Je-Yong Choi

Abstract read
In one paragraph

Article in Journal of bone metabolism, 2026. 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. 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

5 authors.

Hyun-Ju KimDepartment of Biochemistry and Cell Biology, Cell and Matrix Research Institute, School of Medicine, Kyungpook National University, Daegu, Korea.
Dong-Kyo LeeDepartment of Internal Medicine and Laboratory of Genomics and Translational Medicine, Gachon University College of Medicine, Incheon, Korea.
Xiangguo CheDepartment of Biochemistry and Cell Biology, Cell and Matrix Research Institute, School of Medicine, Kyungpook National University, Daegu, Korea.
Sihoon LeeDepartment of Internal Medicine and Laboratory of Genomics and Translational Medicine, Gachon University College of Medicine, Incheon, Korea.
Je-Yong ChoiDepartment of Biochemistry and Cell Biology, Cell and Matrix Research Institute, School of Medicine, Kyungpook National University, Daegu, Korea.

Funding

Ministry of EducationMinistry of Science and ICTNational Research Foundation of Korea 2021R1I1A1A01051983National Research Foundation of Korea RS-2024-00451614
6 · The paper itself

Abstract

G protein-coupled receptors (GPCRs), commonly known as seven-transmembrane domain receptors, represent one of the largest and most functionally diverse families of membrane receptors. These receptors mediate cellular responses to external signals, thereby influencing various physiological processes. Recent studies have increasingly highlighted the importance of GPCRs in skeletal health, particularly in regulating bone metabolism and the pathogenesis of bone diseases, such as osteoporosis and osteoarthritis. Among GPCRs, a specific subset that responds to fatty acids, including GPR40, GPR120, GPR41, GPR43, GPR84, and GPR119, has received significant attention for its role in skeletal homeostasis. Acting as lipid sensors, these receptors detect changes in fatty acid availability and transduce signals that modulate the differentiation, function, and survival of key bone cell populations, including osteoclasts, osteoblasts, and chondrocytes. This review provides a comprehensive overview of the current understanding of fatty acid-sensing GPCRs in skeletal metabolism, highlighting their potential as novel therapeutic targets for metabolic bone diseases.

Indexed as

Bone metabolismFatty acidsGPCRsOsteoporosisSkeletal homeostasis

Identifiers

PMID41850316
PMCPMC13017177

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.