ArticleAging2023
Chronological aging impacts abundance, function and microRNA content of extracellular vesicles produced by human epidermal keratinocytes.
Article in Aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 12 citations in OpenAlex.
- Skin Aging: From Molecular Mechanisms to Therapeutic and Technological Innovations.Journal of cellular and molecular medicine · 2026Review
- Extracellular vesicles and epigenetic aging clocks in tissue aging: an exosome-focused conceptual framework with a focus on skin.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026Review
- Extracellular Vesicles as Dynamic Sensors of Redox-Inflammatory Balance: Potential Implications for Aging in Healthy Subjects.Biomedicines · 2026Article
- Age-dependent effects of fibroblast-derived exosomes on keratinocyte differentiation.Biogerontology · 2026Article
- Nanoscale Delivery of MicroRNAs via Extracellular Vesicles: Mechanisms Potential in Modulating Cellular Senescence.International journal of nanomedicine · 2026Review
- Nanoparticle-Based Tools to Study Hallmarks of Aging at the Molecular Level.International journal of nanomedicine · 2026Review
- Extracellular vesicles in metabolic perspective: mechanism and targeted therapy.Journal of nanobiotechnology · 2025Review
- Aging-related changes of miR-23b-3p expression in extracellular vesicles from mesenchymal stromal cells affect TGFBR3 signaling.Scientific reports · 2025Article
- Advanced biomaterial strategies for overcoming age-associated wound healing impairments.APL bioengineering · 2025Review
- Extracellular Vesicles in Skin: Biological Function and Therapeutic Potential.International journal of nanomedicine · 2025Review
- Extracellular matrix dysregulation in aging, calcification, and cancer diseases: insights into cellular senescence, inflammation, and novel therapeutic strategies.International journal of biological sciences · 2025Review
- 2 kDa Hyaluronic Acid Reduces Blemishes and Sagging in Human Facial Skin.Clinical, cosmetic and investigational dermatology · 2025Article
- Early skin colonization byFrontiers in microbiology · 2025Article
- 3D Models Currently Proposed to Investigate Human Skin Aging and Explore Preventive and Reparative Approaches: A Descriptive Review.Biomolecules · 2024Review
- Review
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The disturbance of intercellular communication is one of the hallmarks of aging. The goal of this study is to clarify the impact of chronological aging on extracellular vesicles (EVs), a key mode of communication in mammalian tissues. We focused on epidermal keratinocytes, the main cells of the outer protective layer of the skin which is strongly impaired in the skin of elderly. EVs were purified from conditioned medium of primary keratinocytes isolated from infant or aged adult skin. A significant increase of the relative number of EVs released from aged keratinocytes was observed whereas their size distribution was not modified. By small RNA sequencing, we described a specific microRNA (miRNA) signature of aged EVs with an increase abundance of miR-30a, a key regulator of barrier function in human epidermis. EVs from aged keratinocytes were found to be able to reduce the proliferation of young keratinocytes, to impact their organogenesis properties in a reconstructed epidermis model and to slow down the early steps of skin wound healing in mice, three features observed in aged epidermis. This work reveals that intercellular communication mediated by EVs is modulated during aging process in keratinocytes and might be involved in the functional defects observed in aged skin.
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Registered trials
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.