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Organoids: An Emerging Tool to Study Aging Signature across Human Tissues. Modeling Aging with Patient-Derived Organoids
The biology of aging is focused on the identification of novel pathways that regulate the underlying processes of aging to develop interventions aimed at delaying the onset and progression of chronic diseases to extend lifespan. However, the research on the aging field has been conducted mainly in a...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8508868/ https://www.ncbi.nlm.nih.gov/pubmed/34638891 http://dx.doi.org/10.3390/ijms221910547 |
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author | Torrens-Mas, Margalida Perelló-Reus, Catalina Navas-Enamorado, Cayetano Ibargüen-González, Lesly Sanchez-Polo, Andres Segura-Sampedro, Juan Jose Masmiquel, Luis Barcelo, Carles Gonzalez-Freire, Marta |
author_facet | Torrens-Mas, Margalida Perelló-Reus, Catalina Navas-Enamorado, Cayetano Ibargüen-González, Lesly Sanchez-Polo, Andres Segura-Sampedro, Juan Jose Masmiquel, Luis Barcelo, Carles Gonzalez-Freire, Marta |
author_sort | Torrens-Mas, Margalida |
collection | PubMed |
description | The biology of aging is focused on the identification of novel pathways that regulate the underlying processes of aging to develop interventions aimed at delaying the onset and progression of chronic diseases to extend lifespan. However, the research on the aging field has been conducted mainly in animal models, yeast, Caenorhabditis elegans, and cell cultures. Thus, it is unclear to what extent this knowledge is transferable to humans since they might not reflect the complexity of aging in people. An organoid culture is an in vitro 3D cell-culture technology that reproduces the physiological and cellular composition of the tissues and/or organs. This technology is being used in the cancer field to predict the response of a patient-derived tumor to a certain drug or treatment serving as patient stratification and drug-guidance approaches. Modeling aging with patient-derived organoids has a tremendous potential as a preclinical model tool to discover new biomarkers of aging, to predict adverse outcomes during aging, and to design personalized approaches for the prevention and treatment of aging-related diseases and geriatric syndromes. This could represent a novel approach to study chronological and/or biological aging, paving the way to personalized interventions targeting the biology of aging. |
format | Online Article Text |
id | pubmed-8508868 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-85088682021-10-13 Organoids: An Emerging Tool to Study Aging Signature across Human Tissues. Modeling Aging with Patient-Derived Organoids Torrens-Mas, Margalida Perelló-Reus, Catalina Navas-Enamorado, Cayetano Ibargüen-González, Lesly Sanchez-Polo, Andres Segura-Sampedro, Juan Jose Masmiquel, Luis Barcelo, Carles Gonzalez-Freire, Marta Int J Mol Sci Review The biology of aging is focused on the identification of novel pathways that regulate the underlying processes of aging to develop interventions aimed at delaying the onset and progression of chronic diseases to extend lifespan. However, the research on the aging field has been conducted mainly in animal models, yeast, Caenorhabditis elegans, and cell cultures. Thus, it is unclear to what extent this knowledge is transferable to humans since they might not reflect the complexity of aging in people. An organoid culture is an in vitro 3D cell-culture technology that reproduces the physiological and cellular composition of the tissues and/or organs. This technology is being used in the cancer field to predict the response of a patient-derived tumor to a certain drug or treatment serving as patient stratification and drug-guidance approaches. Modeling aging with patient-derived organoids has a tremendous potential as a preclinical model tool to discover new biomarkers of aging, to predict adverse outcomes during aging, and to design personalized approaches for the prevention and treatment of aging-related diseases and geriatric syndromes. This could represent a novel approach to study chronological and/or biological aging, paving the way to personalized interventions targeting the biology of aging. MDPI 2021-09-29 /pmc/articles/PMC8508868/ /pubmed/34638891 http://dx.doi.org/10.3390/ijms221910547 Text en © 2021 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 | Review Torrens-Mas, Margalida Perelló-Reus, Catalina Navas-Enamorado, Cayetano Ibargüen-González, Lesly Sanchez-Polo, Andres Segura-Sampedro, Juan Jose Masmiquel, Luis Barcelo, Carles Gonzalez-Freire, Marta Organoids: An Emerging Tool to Study Aging Signature across Human Tissues. Modeling Aging with Patient-Derived Organoids |
title | Organoids: An Emerging Tool to Study Aging Signature across Human Tissues. Modeling Aging with Patient-Derived Organoids |
title_full | Organoids: An Emerging Tool to Study Aging Signature across Human Tissues. Modeling Aging with Patient-Derived Organoids |
title_fullStr | Organoids: An Emerging Tool to Study Aging Signature across Human Tissues. Modeling Aging with Patient-Derived Organoids |
title_full_unstemmed | Organoids: An Emerging Tool to Study Aging Signature across Human Tissues. Modeling Aging with Patient-Derived Organoids |
title_short | Organoids: An Emerging Tool to Study Aging Signature across Human Tissues. Modeling Aging with Patient-Derived Organoids |
title_sort | organoids: an emerging tool to study aging signature across human tissues. modeling aging with patient-derived organoids |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8508868/ https://www.ncbi.nlm.nih.gov/pubmed/34638891 http://dx.doi.org/10.3390/ijms221910547 |
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