Evidence map›Paper›PMID 40429909›Full record

ArticleInternational journal of molecular sciences2025

Changes in Gene Expression Patterns in Young and Senescent Fibroblasts in Glycated Three-Dimensional Collagen Matrices.

Zulfiya G Guvatova, Evelina R Kudasheva, Yuri M Efremov, Peter S Timashev, Maria S Fedorova, Elena A Pudova, Anastasiya V Snezhkina, Anna V Kudryavtseva, Anastasiya A Kobelyatskaya, Alexey A Moskalev

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Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Zulfiya G GuvatovaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.ORCID 0000-0003-3494-9807
Evelina R KudashevaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.
Yuri M EfremovInstitute for Regenerative Medicine, Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.ORCID 0000-0001-7040-253X
Peter S TimashevInstitute for Regenerative Medicine, Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.
Maria S FedorovaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.ORCID 0000-0002-6893-4673
Elena A PudovaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.ORCID 0000-0002-5492-1361
Anastasiya V SnezhkinaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.ORCID 0000-0002-4421-4364
Anna V KudryavtsevaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.ORCID 0000-0002-3722-8207
Anastasiya A KobelyatskayaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.
Alexey A MoskalevLongevity Institute of Russian Research Surgery Center, 119435 Moscow, Russia.

Funding

Russian Science Foundation 23-75-01069
6 · The paper itself

Abstract

Glycation, or non-enzymatic glycosylation, has recently attracted increasing interest in the context of its impact on aging. Advanced glycation end products (AGEs) contribute to various age-related pathological conditions such as inflammation, fibrosis, and vascular calcification. However, the molecular mechanisms underlying glycation-induced disruption of cell-matrix interactions during cellular senescence are not fully understood. The aim of this study was to investigate transcriptomic changes in young and senescent dermal fibroblasts (HdFbs) cultured in 3D post-glycated collagen type I matrices after 10 and 17 days. Our findings indicate that D-ribose-mediated glycation increases the accumulation of fluorescent AGEs and the stiffness of matrices in a dose-dependent manner. The transcriptome alterations in cells encompassed the modulation of age-related genes and signaling pathways, including activation of genes related to senescence-associated secretory phenotype (SASP). Notably, the alterations in the transcriptome profiles due to glycation were more pronounced (in terms of both the number of genes and their fold changes) after 10 days of culture compared to day 17 in both passages. These findings suggest that cellular responses to glycation and resulting stiffness depend on both the concentration of reducing sugar and the time spent under those conditions.

Indexed as

Cellular SenescenceCollagenCollagen Type IFibroblastsTranscriptomeCells, CulturedExtracellular MatrixGene Expression ProfilingGene Expression RegulationGlycation End Products, AdvancedGlycosylationHumansSenescence-Associated Secretory PhenotypeCollagenCollagen Type IGlycation End Products, AdvancedD-riboseECM stiffnessgene expressionglycationsenescencetranscriptome

Identifiers

PMID40429909
PMCPMC12112436

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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.