Age-dependent energy metabolism and transcriptome changes in urine-derived stem cells
Autor(a) principal: | |
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Data de Publicação: | 2024 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/163605 |
Resumo: | Funding Information: This work was financed by the European Regional Development Fund ( ERDF ), through the Centro 2020 Regional Operational Programme, through the COMPETE 2020 - Operational Programme for Competitiveness and Internationalisation and Portuguese national funds via FCT – Fundação para a Ciência e a Tecnologia, under the project PTDC/BTM-SAL/29297/2017 , PTDC/MED-FAR/29391/2017 , PTDC/BTM-ORG/0055/2021 ( https://doi.org/10.54499/PTDC/BTM-ORG/0055/2021 ), POCI-01–0145-FEDER-029297 , POCI-01–0145-FEDER-029391 , POCI-01–0145-FEDER-022184 and UIDB/04539/2020 , UIDP/04539/2020 and LA/P/0058/2020 . EF was financed by Assistant Researcher contract from FCT ( CEECIND/00322/2017 https://doi.org/10.54499/CEECIND/00322/2017/CP1390/CT0001 ) and is supported by Assistant Researcher contracts from FCT ( 2022.00011 . CEECIND ). VS was supported by an Assistant Researcher contract from FCT (IF/01182/2015). The authors would like to thank all donors involved in the study. Publisher Copyright: © 2024 The Authors |
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Age-dependent energy metabolism and transcriptome changes in urine-derived stem cellsAgingMachine learningMetabolismMitochondriaTranscriptomeUrine-derived stem cellsWomenAgeingDevelopmental BiologyFunding Information: This work was financed by the European Regional Development Fund ( ERDF ), through the Centro 2020 Regional Operational Programme, through the COMPETE 2020 - Operational Programme for Competitiveness and Internationalisation and Portuguese national funds via FCT – Fundação para a Ciência e a Tecnologia, under the project PTDC/BTM-SAL/29297/2017 , PTDC/MED-FAR/29391/2017 , PTDC/BTM-ORG/0055/2021 ( https://doi.org/10.54499/PTDC/BTM-ORG/0055/2021 ), POCI-01–0145-FEDER-029297 , POCI-01–0145-FEDER-029391 , POCI-01–0145-FEDER-022184 and UIDB/04539/2020 , UIDP/04539/2020 and LA/P/0058/2020 . EF was financed by Assistant Researcher contract from FCT ( CEECIND/00322/2017 https://doi.org/10.54499/CEECIND/00322/2017/CP1390/CT0001 ) and is supported by Assistant Researcher contracts from FCT ( 2022.00011 . CEECIND ). VS was supported by an Assistant Researcher contract from FCT (IF/01182/2015). The authors would like to thank all donors involved in the study. Publisher Copyright: © 2024 The AuthorsThe global population over 60 years old is projected to reach 1.5 billion by 2050. Understanding age-related disorders and gender-specificities is crucial for a healthy aging. Reliable age-related biomarkers are needed, preferentially obtained through non-invasive methods. Urine-derived stem cells (UDSCs) can be easily obtained, although a detailed bioenergetic characterization, according to the donor aging, remain unexplored. UDSCs were isolated from young and elderly adult women (22–35 and 70–94 years old, respectively). Surprisingly, UDSCs from elderly subjects exhibited significantly higher maximal oxygen consumption and bioenergetic health index than those from younger individuals, evaluated through oxygen consumption rate. Exploratory data analysis methods were applied to engineer a minimal subset of features for the classification and stratification of UDSCs. Additionally, RNAseq of UDSCs was performed to identify age-related transcriptional changes. Transcriptional analysis revealed downregulation of genes related to glucuronidation and estrogen metabolism, and upregulation of inflammation-related genes in UDSCs from elderly individuals. This study demonstrates unexpected differences in the UDSCs’ OCR between young and elderly individuals, revealing improved bioenergetics in concurrent with an aged-like transcriptome signature. UDSCs offer a non-invasive model for studying age-related changes, holding promise for aging research and therapeutic studies.NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)RUNFerreiro, ElisabeteMonteiro, MarianaPereira, FranciscoBarroso, CristinaEgas, ConceiçãoMacedo, PaulaValero, JorgeSardão, Vilma A.Oliveira, Paulo J.2024-02-16T01:10:41Z2024-042024-04-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/163605eng0047-6374PURE: 82800032https://doi.org/10.1016/j.mad.2024.111912info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:47:44Zoai:run.unl.pt:10362/163605Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:59:29.199515Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Age-dependent energy metabolism and transcriptome changes in urine-derived stem cells |
title |
Age-dependent energy metabolism and transcriptome changes in urine-derived stem cells |
spellingShingle |
Age-dependent energy metabolism and transcriptome changes in urine-derived stem cells Ferreiro, Elisabete Aging Machine learning Metabolism Mitochondria Transcriptome Urine-derived stem cells Women Ageing Developmental Biology |
title_short |
Age-dependent energy metabolism and transcriptome changes in urine-derived stem cells |
title_full |
Age-dependent energy metabolism and transcriptome changes in urine-derived stem cells |
title_fullStr |
Age-dependent energy metabolism and transcriptome changes in urine-derived stem cells |
title_full_unstemmed |
Age-dependent energy metabolism and transcriptome changes in urine-derived stem cells |
title_sort |
Age-dependent energy metabolism and transcriptome changes in urine-derived stem cells |
author |
Ferreiro, Elisabete |
author_facet |
Ferreiro, Elisabete Monteiro, Mariana Pereira, Francisco Barroso, Cristina Egas, Conceição Macedo, Paula Valero, Jorge Sardão, Vilma A. Oliveira, Paulo J. |
author_role |
author |
author2 |
Monteiro, Mariana Pereira, Francisco Barroso, Cristina Egas, Conceição Macedo, Paula Valero, Jorge Sardão, Vilma A. Oliveira, Paulo J. |
author2_role |
author author author author author author author author |
dc.contributor.none.fl_str_mv |
NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM) RUN |
dc.contributor.author.fl_str_mv |
Ferreiro, Elisabete Monteiro, Mariana Pereira, Francisco Barroso, Cristina Egas, Conceição Macedo, Paula Valero, Jorge Sardão, Vilma A. Oliveira, Paulo J. |
dc.subject.por.fl_str_mv |
Aging Machine learning Metabolism Mitochondria Transcriptome Urine-derived stem cells Women Ageing Developmental Biology |
topic |
Aging Machine learning Metabolism Mitochondria Transcriptome Urine-derived stem cells Women Ageing Developmental Biology |
description |
Funding Information: This work was financed by the European Regional Development Fund ( ERDF ), through the Centro 2020 Regional Operational Programme, through the COMPETE 2020 - Operational Programme for Competitiveness and Internationalisation and Portuguese national funds via FCT – Fundação para a Ciência e a Tecnologia, under the project PTDC/BTM-SAL/29297/2017 , PTDC/MED-FAR/29391/2017 , PTDC/BTM-ORG/0055/2021 ( https://doi.org/10.54499/PTDC/BTM-ORG/0055/2021 ), POCI-01–0145-FEDER-029297 , POCI-01–0145-FEDER-029391 , POCI-01–0145-FEDER-022184 and UIDB/04539/2020 , UIDP/04539/2020 and LA/P/0058/2020 . EF was financed by Assistant Researcher contract from FCT ( CEECIND/00322/2017 https://doi.org/10.54499/CEECIND/00322/2017/CP1390/CT0001 ) and is supported by Assistant Researcher contracts from FCT ( 2022.00011 . CEECIND ). VS was supported by an Assistant Researcher contract from FCT (IF/01182/2015). The authors would like to thank all donors involved in the study. Publisher Copyright: © 2024 The Authors |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-02-16T01:10:41Z 2024-04 2024-04-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/163605 |
url |
http://hdl.handle.net/10362/163605 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0047-6374 PURE: 82800032 https://doi.org/10.1016/j.mad.2024.111912 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799138174392336384 |