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Impact of Aging on the Ovarian Extracellular Matrix and Derived 3D Scaffolds
Advances in medical care, improvements in sanitation, and rising living standards contribute to increased life expectancy. Although this reflects positive human development, it also poses new challenges. Among these, reproductive aging is gradually becoming a key health issue because the age of meno...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8839021/ https://www.ncbi.nlm.nih.gov/pubmed/35159690 http://dx.doi.org/10.3390/nano12030345 |
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author | Pennarossa, Georgia De Iorio, Teresina Gandolfi, Fulvio Brevini, Tiziana A. L. |
author_facet | Pennarossa, Georgia De Iorio, Teresina Gandolfi, Fulvio Brevini, Tiziana A. L. |
author_sort | Pennarossa, Georgia |
collection | PubMed |
description | Advances in medical care, improvements in sanitation, and rising living standards contribute to increased life expectancy. Although this reflects positive human development, it also poses new challenges. Among these, reproductive aging is gradually becoming a key health issue because the age of menopause has remained constant at ~50 years, leading women to live longer in suboptimal endocrine conditions. An adequate understanding of ovarian senescence mechanisms is essential to prevent age-related diseases and to promote wellbeing, health, and longevity in women. We here analyze the impact of aging on the ovarian extracellular matrix (ECM), and we demonstrate significant changes in its composition and organization with collagen, glycosaminoglycans, and laminins significantly incremented, and elastin, as well as fibronectin, decreased. This is accompanied by a dynamic response in gene expression levels of the main ECM- and protease-related genes, indicating a direct impact of aging on the transcription machinery. Furthermore, in order to study the mechanisms driving aging and identify possible strategies to counteract ovarian tissue degeneration, we here described the successful production of a 3D ECM-based biological scaffold that preserves the structural modifications taking place in vivo and that represents a powerful high predictive in vitro model for reproductive aging and its prevention. |
format | Online Article Text |
id | pubmed-8839021 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-88390212022-02-13 Impact of Aging on the Ovarian Extracellular Matrix and Derived 3D Scaffolds Pennarossa, Georgia De Iorio, Teresina Gandolfi, Fulvio Brevini, Tiziana A. L. Nanomaterials (Basel) Article Advances in medical care, improvements in sanitation, and rising living standards contribute to increased life expectancy. Although this reflects positive human development, it also poses new challenges. Among these, reproductive aging is gradually becoming a key health issue because the age of menopause has remained constant at ~50 years, leading women to live longer in suboptimal endocrine conditions. An adequate understanding of ovarian senescence mechanisms is essential to prevent age-related diseases and to promote wellbeing, health, and longevity in women. We here analyze the impact of aging on the ovarian extracellular matrix (ECM), and we demonstrate significant changes in its composition and organization with collagen, glycosaminoglycans, and laminins significantly incremented, and elastin, as well as fibronectin, decreased. This is accompanied by a dynamic response in gene expression levels of the main ECM- and protease-related genes, indicating a direct impact of aging on the transcription machinery. Furthermore, in order to study the mechanisms driving aging and identify possible strategies to counteract ovarian tissue degeneration, we here described the successful production of a 3D ECM-based biological scaffold that preserves the structural modifications taking place in vivo and that represents a powerful high predictive in vitro model for reproductive aging and its prevention. MDPI 2022-01-21 /pmc/articles/PMC8839021/ /pubmed/35159690 http://dx.doi.org/10.3390/nano12030345 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Pennarossa, Georgia De Iorio, Teresina Gandolfi, Fulvio Brevini, Tiziana A. L. Impact of Aging on the Ovarian Extracellular Matrix and Derived 3D Scaffolds |
title | Impact of Aging on the Ovarian Extracellular Matrix and Derived 3D Scaffolds |
title_full | Impact of Aging on the Ovarian Extracellular Matrix and Derived 3D Scaffolds |
title_fullStr | Impact of Aging on the Ovarian Extracellular Matrix and Derived 3D Scaffolds |
title_full_unstemmed | Impact of Aging on the Ovarian Extracellular Matrix and Derived 3D Scaffolds |
title_short | Impact of Aging on the Ovarian Extracellular Matrix and Derived 3D Scaffolds |
title_sort | impact of aging on the ovarian extracellular matrix and derived 3d scaffolds |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8839021/ https://www.ncbi.nlm.nih.gov/pubmed/35159690 http://dx.doi.org/10.3390/nano12030345 |
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