Evidence map›Paper›PMID 41043428›Full record

ArticleStem cell reports2025

A novel miRNA-TF-mRNA regulatory network associated with cellular senescence in osteoporosis.

Xiang Zhang, Na Xu, Yanman Zhou, Jin Xu

Abstract read
In one paragraph

Article in Stem cell reports, 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. Article
  2. Article
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.

Xiang ZhangKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China; Shandong Key Laboratory of Endocrinology and Lipid Metabolism, Jinan, Shandong 250021, China; Shandong Institute of Endocrine and Metabolic Diseases, Jinan, Shandong 250021, China.
Na XuKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China; Shandong Key Laboratory of Endocrinology and Lipid Metabolism, Jinan, Shandong 250021, China; Shandong Institute of Endocrine and Metabolic Diseases, Jinan, Shandong 250021, China.
Yanman ZhouDepartment of Nephrology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China; Shandong Key Laboratory of Endocrinology and Lipid Metabolism, Jinan, Shandong 250021, China; Shandong Institute of Endocrine and Metabolic Diseases, Jinan, Shandong 250021, China; "Chuangxin China" Innovation Base of Stem Cell and Gene Therapy for Endocrine Metabolic Diseases, Jinan, Shandong 250021, China; Shandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, Shandong 250021, China; Shandong Engineering Research Center of Stem Cell and Gene Therapy for Endocrine and Metabolic Diseases, Jinan, Shandong 250021, China. Electronic address: zhouyanman@sdfmu.edu.cn.
Jin XuKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China; Shandong Key Laboratory of Endocrinology and Lipid Metabolism, Jinan, Shandong 250021, China; Shandong Institute of Endocrine and Metabolic Diseases, Jinan, Shandong 250021, China; "Chuangxin China" Innovation Base of Stem Cell and Gene Therapy for Endocrine Metabolic Diseases, Jinan, Shandong 250021, China; Shandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, Shandong 250021, China; Shandong Engineering Research Center of Stem Cell and Gene Therapy for Endocrine and Metabolic Diseases, Jinan, Shandong 250021, China. Electronic address: xujin@sdfmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the role of miR-22-3p/ESR1 axis in osteoporosis (OP) pathogenesis. Bioinformatics analysis of OP datasets and patient bone marrow samples revealed significant upregulation of miR-22-3p accompanied by downregulation of ESR1. Mechanistic validation via dual-luciferase reporter assays, RNA pull-down, and molecular docking confirmed that miR-22-3p directly targets and suppresses ESR1 expression. Functional in vitro assays in human bone marrow mesenchymal stem cells (hBMSCs) demonstrated that miR-22-3p overexpression accelerated both cellular senescence (CS) and adipogenic differentiation. Notably, this effect was reversed by ESR1 overexpression. In an aged mouse model, local intra-bone marrow administration of a miR-22-3p inhibitor effectively reduced bone marrow mesenchymal stem cell (BMSC) senescence, improved bone microstructure, and attenuated OP progression. These findings establish that the miR-22-3p-ESR1 regulatory axis critically drives OP development by coordinately promoting CS and adipogenic differentiation while suppressing osteogenesis. This pathway provides a promising mechanistic foundation for future therapeutic strategies targeting OP.

Indexed as

Cellular SenescenceGene Regulatory NetworksMicroRNAsOsteoporosisRNA, MessengerAdipogenesisAnimalsCell DifferentiationDisease Models, AnimalEstrogen Receptor alphaFemaleHumansMaleMesenchymal Stem CellsMiceOsteogenesisEstrogen Receptor alphaMicroRNAsMIRN22 microRNA, humanRNA, Messengercellular senescenceestrogen receptor-1human bone marrow mesenchymal stem cellsmiR-22-3posteoporosis

Identifiers

PMID41043428
PMCPMC12790748

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.