Evidence map›Paper›PMID 42232183›Full record

ArticleFrontiers in pharmacology2026

5-methoxyresorcinol mitigates postmenopausal osteoporosis through regulation of the PI3K-AKT-GSK3β signaling pathway and ROS homeostasis.

Maosheng Yang, Rongrong Li, Hanbin Wang, Yitong Geng, Zhiyuan Yv, Jinqiao Qiao, Yi Li

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 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

7 authors.

Maosheng Yang *Department of Joint Surgery and Sports Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Rongrong Li *Department of Joint Surgery and Sports Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Hanbin WangDepartment of Joint Surgery and Sports Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Yitong GengDepartment of Joint Surgery and Sports Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Zhiyuan YvDepartment of Joint Surgery and Sports Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Jinqiao QiaoDepartment of Joint Surgery and Sports Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Yi LiDepartment of Joint Surgery and Sports Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Osteoporosis is a systemic skeletal disease characterized by excessive osteoclast-mediated bone resorption. This study aimed to evaluate the therapeutic potential of 5-methoxyresorcinol (MR) in osteoporosis and to clarify its underlying mechanisms. Methods: Network pharmacology analysis was performed to identify shared targets between MR and osteoporosis. Results: Network pharmacology analysis identified 107 potential targets of MR and 8,060 osteoporosis-associated genes, of which 50 were overlapping targets. Among these targets, the PI3K-AKT signaling pathway showed significant enrichment. Conclusion: MR attenuates osteoporosis by suppressing osteoclast differentiation and function through regulating PI3K-AKT-GSK3β axis and ROS homeostasis, supporting its potential as a promisingtherapeutic candidate for osteoporosis.

Indexed as

5-methoxyresorcinolnetwork pharmacologyosteoclastosteoporosisPI3K-Akt signaling pathwayreactive oxygen species

Identifiers

PMID42232183
PMCPMC13222808

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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.