Evidence map›Paper›PMID 41937492›Full record

ArticleJournal of cellular and molecular medicine2026

OMICS Profiling Identifies Signatures of Senescence in Osteogenesis Imperfecta Osteoblasts Counteracted by 4-PBA.

Roberta Besio, Elisa Maffioli, Erika Palladino, Alessandra Sala, Nadia Garibaldi, Valerio Izzi, Antonella Forlino, Gabriella Tedeschi

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In one paragraph

Article in Journal of cellular and molecular medicine, 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

8 authors.

Roberta BesioDepartment of Molecular Medicine, Biochemistry Unit, University of Pavia, Pavia, Italy.
Elisa MaffioliDepartment of Veterinary Medicine and Animal Sciences (DIVAS), University of Milan, Lodi, Italy.
Erika PalladinoDepartment of Molecular Medicine, Biochemistry Unit, University of Pavia, Pavia, Italy.
Alessandra SalaDepartment of Molecular Medicine, Biochemistry Unit, University of Pavia, Pavia, Italy.
Nadia GaribaldiDepartment of Molecular Medicine, Biochemistry Unit, University of Pavia, Pavia, Italy.
Valerio IzziOulu Center for Cell-Matrix Research and Biocenter Oulu, University of Oulu, Oulu, Finland.
Antonella ForlinoDepartment of Molecular Medicine, Biochemistry Unit, University of Pavia, Pavia, Italy.
Gabriella TedeschiDepartment of Veterinary Medicine and Animal Sciences (DIVAS), University of Milan, Lodi, Italy.

Funding

Ministero dell'Università e della Ricerca 20223C8C5BMinistero dell'Università e della Ricerca 2022ERWJKZ
6 · The paper itself

Abstract

Mutations in collagen I are the most common cause of osteogenesis imperfecta (OI), leading to delayed protein folding and structurally abnormal molecules. While some aberrant collagen is secreted into the extracellular matrix (ECM), impairing bone quality, a significant fraction is retained intracellularly, disrupting osteoblast homeostasis. 4-phenylbutyrate (4-PBA) has been shown to improve osteoblast function and ECM composition in OI models. To investigate the intracellular consequences of mutant collagen retention and the mechanisms of 4-PBA, we analysed the secretome and transcriptome of two dominant OI mouse models, Col1a1

Indexed as

Cellular SenescenceOsteoblastsOsteogenesis ImperfectaPhenylbutyratesAnimalsCollagen Type ICollagen Type I, alpha 1 ChainGene Expression ProfilingHumansMiceProteomicsTranscriptome4-phenylbutyric acidCol1a2 protein, mouseCollagen Type ICollagen Type I, alpha 1 ChainPhenylbutyrateschemical chaperonecollagenmass spectroscopyosteogenesis imperfectasecretomesenescence

Identifiers

PMID41937492
PMCPMC13052117

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Registered trials

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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.