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Biomarkers of cellular senescence in idiopathic pulmonary fibrosis

BACKGROUND: Cellular senescence is a cell fate in response to diverse forms of age-related damage and stress that has been implicated in the pathogenesis of idiopathic pulmonary fibrosis (IPF). The associations between circulating levels of candidate senescence biomarkers and disease outcomes have n...

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Autores principales: Aversa, Zaira, Atkinson, Elizabeth J., Carmona, Eva M., White, Thomas A., Heeren, Amanda A., Jachim, Sarah K., Zhang, Xu, Cummings, Steven R., Chiarella, Sergio E., Limper, Andrew H., LeBrasseur, Nathan K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10080755/
https://www.ncbi.nlm.nih.gov/pubmed/37029417
http://dx.doi.org/10.1186/s12931-023-02403-8
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author Aversa, Zaira
Atkinson, Elizabeth J.
Carmona, Eva M.
White, Thomas A.
Heeren, Amanda A.
Jachim, Sarah K.
Zhang, Xu
Cummings, Steven R.
Chiarella, Sergio E.
Limper, Andrew H.
LeBrasseur, Nathan K.
author_facet Aversa, Zaira
Atkinson, Elizabeth J.
Carmona, Eva M.
White, Thomas A.
Heeren, Amanda A.
Jachim, Sarah K.
Zhang, Xu
Cummings, Steven R.
Chiarella, Sergio E.
Limper, Andrew H.
LeBrasseur, Nathan K.
author_sort Aversa, Zaira
collection PubMed
description BACKGROUND: Cellular senescence is a cell fate in response to diverse forms of age-related damage and stress that has been implicated in the pathogenesis of idiopathic pulmonary fibrosis (IPF). The associations between circulating levels of candidate senescence biomarkers and disease outcomes have not been specifically studied in IPF. In this study we assessed the circulating levels of candidate senescence biomarkers in individuals affected by IPF and controls and evaluated their ability to predict disease outcomes. METHODS: We measured the plasma concentrations of 32 proteins associated with senescence in Lung Tissue Research Consortium participants and studied their relationship with the diagnosis of IPF, parameters of pulmonary and physical function, health-related quality of life, mortality, and lung tissue expression of P16, a prototypical marker of cellular senescence. A machine learning approach was used to evaluate the ability of combinatorial biomarker signatures to predict disease outcomes. RESULTS: The circulating levels of several senescence biomarkers were significantly elevated in persons affected by IPF compared to controls. A subset of biomarkers accurately classified participants as having or not having the disease and was significantly correlated with measures of pulmonary function, health-related quality of life and, to an extent, physical function. An exploratory analysis revealed senescence biomarkers were also associated with mortality in IPF participants. Finally, the plasma concentrations of several biomarkers were associated with their expression levels in lung tissue as well as the expression of P16. CONCLUSIONS: Our results suggest that circulating levels of candidate senescence biomarkers are informative of disease status, pulmonary and physical function, and health-related quality of life. Additional studies are needed to validate the combinatorial biomarkers signatures that emerged using a machine learning approach. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-023-02403-8.
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spelling pubmed-100807552023-04-08 Biomarkers of cellular senescence in idiopathic pulmonary fibrosis Aversa, Zaira Atkinson, Elizabeth J. Carmona, Eva M. White, Thomas A. Heeren, Amanda A. Jachim, Sarah K. Zhang, Xu Cummings, Steven R. Chiarella, Sergio E. Limper, Andrew H. LeBrasseur, Nathan K. Respir Res Research BACKGROUND: Cellular senescence is a cell fate in response to diverse forms of age-related damage and stress that has been implicated in the pathogenesis of idiopathic pulmonary fibrosis (IPF). The associations between circulating levels of candidate senescence biomarkers and disease outcomes have not been specifically studied in IPF. In this study we assessed the circulating levels of candidate senescence biomarkers in individuals affected by IPF and controls and evaluated their ability to predict disease outcomes. METHODS: We measured the plasma concentrations of 32 proteins associated with senescence in Lung Tissue Research Consortium participants and studied their relationship with the diagnosis of IPF, parameters of pulmonary and physical function, health-related quality of life, mortality, and lung tissue expression of P16, a prototypical marker of cellular senescence. A machine learning approach was used to evaluate the ability of combinatorial biomarker signatures to predict disease outcomes. RESULTS: The circulating levels of several senescence biomarkers were significantly elevated in persons affected by IPF compared to controls. A subset of biomarkers accurately classified participants as having or not having the disease and was significantly correlated with measures of pulmonary function, health-related quality of life and, to an extent, physical function. An exploratory analysis revealed senescence biomarkers were also associated with mortality in IPF participants. Finally, the plasma concentrations of several biomarkers were associated with their expression levels in lung tissue as well as the expression of P16. CONCLUSIONS: Our results suggest that circulating levels of candidate senescence biomarkers are informative of disease status, pulmonary and physical function, and health-related quality of life. Additional studies are needed to validate the combinatorial biomarkers signatures that emerged using a machine learning approach. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-023-02403-8. BioMed Central 2023-04-07 2023 /pmc/articles/PMC10080755/ /pubmed/37029417 http://dx.doi.org/10.1186/s12931-023-02403-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Aversa, Zaira
Atkinson, Elizabeth J.
Carmona, Eva M.
White, Thomas A.
Heeren, Amanda A.
Jachim, Sarah K.
Zhang, Xu
Cummings, Steven R.
Chiarella, Sergio E.
Limper, Andrew H.
LeBrasseur, Nathan K.
Biomarkers of cellular senescence in idiopathic pulmonary fibrosis
title Biomarkers of cellular senescence in idiopathic pulmonary fibrosis
title_full Biomarkers of cellular senescence in idiopathic pulmonary fibrosis
title_fullStr Biomarkers of cellular senescence in idiopathic pulmonary fibrosis
title_full_unstemmed Biomarkers of cellular senescence in idiopathic pulmonary fibrosis
title_short Biomarkers of cellular senescence in idiopathic pulmonary fibrosis
title_sort biomarkers of cellular senescence in idiopathic pulmonary fibrosis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10080755/
https://www.ncbi.nlm.nih.gov/pubmed/37029417
http://dx.doi.org/10.1186/s12931-023-02403-8
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