Evidence map›Paper›PMID 42116115›Full record

ArticleBMC medical genomics2026

Transcriptomic and proteomic analysis of osteogenesis imperfecta disease-specific induced pluripotent stem cells.

Ruijun Guo, Lingyu Huang, Yu Sha, Chune Mo, Chunhong Li, Weiwei Gong, Xianliang Hou, Minglin Ou

Abstract read
In one paragraph

Article in BMC medical genomics, 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
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0citing papers in PubMed
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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

8 authors.

Ruijun Guo *Laboratory Center, Guangxi Key Laboratory of Metabolic Reprogramming and Intelligent Medical Engineering for Chronic Diseases, The Second Affiliated Hospital of Guilin Medical University, Guilin, 541199, China.
Lingyu Huang *Laboratory Center, Guangxi Key Laboratory of Metabolic Reprogramming and Intelligent Medical Engineering for Chronic Diseases, The Second Affiliated Hospital of Guilin Medical University, Guilin, 541199, China.
Yu Sha *Laboratory Center, Guangxi Key Laboratory of Metabolic Reprogramming and Intelligent Medical Engineering for Chronic Diseases, The Second Affiliated Hospital of Guilin Medical University, Guilin, 541199, China.
Chune MoLaboratory Center, Guangxi Key Laboratory of Metabolic Reprogramming and Intelligent Medical Engineering for Chronic Diseases, The Second Affiliated Hospital of Guilin Medical University, Guilin, 541199, China.
Chunhong LiLaboratory Center, Guangxi Key Laboratory of Metabolic Reprogramming and Intelligent Medical Engineering for Chronic Diseases, The Second Affiliated Hospital of Guilin Medical University, Guilin, 541199, China.
Weiwei GongLaboratory Center, Guangxi Key Laboratory of Metabolic Reprogramming and Intelligent Medical Engineering for Chronic Diseases, The Second Affiliated Hospital of Guilin Medical University, Guilin, 541199, China.
Xianliang HouLaboratory Center, Guangxi Key Laboratory of Metabolic Reprogramming and Intelligent Medical Engineering for Chronic Diseases, The Second Affiliated Hospital of Guilin Medical University, Guilin, 541199, China.
Minglin OuLaboratory Center, Guangxi Key Laboratory of Metabolic Reprogramming and Intelligent Medical Engineering for Chronic Diseases, The Second Affiliated Hospital of Guilin Medical University, Guilin, 541199, China. minglinou@glmu.edu.cn.

Funding

Guangxi Natural Science Foundation No. 2024GXNSFAA010392Guangxi Science and Technology Program 2025FN96441088Natural Science Foundation of Guangxi 2020GXNSFAA159124
6 · The paper itself

Abstract

backgroundOsteogenesis imperfecta (OI) is a rare genetic bone disorder for which treatment options remain limited. Disease-specific induced pluripotent stem cells (iPSCs) offer a valuable model to investigate its underlying pathological mechanisms.

methodsPeripheral blood cells from two OI patients were reprogrammed into iPSCs. Transcriptomic sequencing and proteomic analysis were employed to systematically identify differentially expressed genes (DEGs) and proteins (DEPs) between OI-iPSCs and normal iPSCs. Bioinformatics approaches were subsequently applied for enrichment analysis and protein-protein interaction network investigation.

resultsOI-iPSCs were successfully established. Integrated multi-omics analysis identified 671 common DEGs and 636 common DEPs. These molecules were significantly enriched in metabolic pathways, with the oxidative phosphorylation pathway being particularly prominent. Further cross-omics screening revealed 22 genes that were differentially expressed at both the mRNA and protein levels. Among these, the focal adhesion protein VCL emerged as a central hub within the protein-protein interaction network.

conclusionThrough multi-omics analysis, this study revealed widespread dysregulation of metabolic pathways in OI-iPSCs, suggesting that targeted interventions on specific metabolic pathways may represent a novel therapeutic strategy for OI. VCL emerged as a key candidate molecule, warranting further functional validation in subsequent studies. These findings provide new insights into the mechanisms of OI and potential avenues for therapeutic development.

Indexed as

Gene Expression ProfilingInduced Pluripotent Stem CellsOsteogenesis ImperfectaProteomeProteomicsTranscriptomeComputational BiologyHumansMultiomicsProtein Interaction MapsProteomeiPSCsMetabolic pathwaysProteomicsTranscriptome

Identifiers

PMID42116115
PMCPMC13335311

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