Evidence map›Paper›PMID 40437576›Full record

ArticleJournal of orthopaedic surgery and research2025

Targeting TYROBP to influence the immune microenvironment and osteogenic differentiation of mesenchymal stem cells.

Liangkun Huang, Zijie Pei, Tongyi Zhang, Ze Zhang, Fengpo Sun, Liangyuan Wen

Abstract read
In one paragraph

Article in Journal of orthopaedic surgery and research, 2025. 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. Glucose metabolism in osteoporosis: A potential therapeutic target (Review).International journal of molecular medicine · 2026
    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

6 authors.

Liangkun Huang *Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China.
Zijie Pei *Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China.
Tongyi ZhangBeijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China.
Ze ZhangBeijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China. 1911210691@pku.edu.cn.
Fengpo SunBeijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China. sfp19881110@126.com.
Liangyuan WenBeijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China. wenliangyuan1964@126.com.

Funding

14th Five Year Plan for National Key Research and Development Project 2022YFC3601905National High Level Hospital Clinical Research Funding BJ-2023-085National High Level Hospital Clinical Research Funding BJ-2024-172
6 · The paper itself

Abstract

backgroundLactate, as an end product of glycolysis, plays an important role in cellular metabolism and signal transduction, and recent studies have shown that it is closely related to cellular differentiation, but its potential role in osteogenic differentiation has not yet been fully investigated.

methodsWe obtained two datasets containing human mesenchymal stem cells and human osteoblasts, GSE12266 and GSE18043, from the GEO database, which contained a total of 14 samples with sequencing data, and searched for lactate metabolism-related genes from the Genecards database. Ten differentially expressed core genes related to lactate metabolism were identified by differential expression analysis, protein interaction network analysis, and correlation expression analysis, and determined to play a key role in osteogenic differentiation. The effects of hub genes on the immune microenvironment of osteogenic differentiation were explored by enrichment analysis and immune infiltration analysis, and the significant effects of the key gene TYRO Protein Tyrosine Kinase-Binding Protein(TYROBP) on the characterization of bone marrow mesenchymal stem cells (BMSCs) were experimentally verified, and it was determined by drug sensitivity analysis that TYROBP may be a regulatory target of certain drugs affecting osteogenic differentiation.

resultWe successfully screened 10 differentially expressed hub genes related to lactate metabolism, and their area under the curve AUC values for predicting osteogenic differentiation were all highly favorable. Enrichment analysis showed that lactate metabolism may affect osteoblast differentiation through immune infiltration, and the immune infiltration results confirmed the strong association between hub genes and osteoblast immune infiltration status. It was verified that decreasing TYROBP expression promoted cell viability, proliferation and migration ability of BMSCs. Drug sensitivity analysis showed that TYROBP may be a major regulator of drug-induced MSC differentiation.

conclusionOur study reveals the critical role of lactate metabolism in osteoblast differentiation, identifies the role of the key gene TYROBP in the regulation of BMSCs, and provides new insights for studies related to the regulation of osteoblast differentiation.

Indexed as

Adaptor Proteins, Signal TransducingCell DifferentiationCellular MicroenvironmentMesenchymal Stem CellsOsteogenesisCells, CulturedHumansLactic AcidOsteoblastsAdaptor Proteins, Signal TransducingLactic AcidHuman mesenchymal stem cellsImmune infiltrationLactate metabolismOsteogenic differentiation

Identifiers

PMID40437576
PMCPMC12117746

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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.