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Inbred mouse strains reveal biomarkers that are pro-longevity, antilongevity or role switching

Traditionally, biomarkers of aging are classified as either pro-longevity or antilongevity. Using longitudinal data sets from the large-scale inbred mouse strain study at the Jackson Laboratory Nathan Shock Center, we describe a protocol to identify two kinds of biomarkers: those with prognostic imp...

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Autores principales: Moeller, Mark, Hirose, Misa, Mueller, Sarah, Roolf, Catrin, Baltrusch, Simone, Ibrahim, Saleh, Junghanss, Christian, Wolkenhauer, Olaf, Jaster, Robert, Köhling, Rüdiger, Kunz, Manfred, Tiedge, Markus, Schofield, Paul N, Fuellen, Georg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BlackWell Publishing Ltd 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4326954/
https://www.ncbi.nlm.nih.gov/pubmed/24862908
http://dx.doi.org/10.1111/acel.12226
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author Moeller, Mark
Hirose, Misa
Mueller, Sarah
Roolf, Catrin
Baltrusch, Simone
Ibrahim, Saleh
Junghanss, Christian
Wolkenhauer, Olaf
Jaster, Robert
Köhling, Rüdiger
Kunz, Manfred
Tiedge, Markus
Schofield, Paul N
Fuellen, Georg
author_facet Moeller, Mark
Hirose, Misa
Mueller, Sarah
Roolf, Catrin
Baltrusch, Simone
Ibrahim, Saleh
Junghanss, Christian
Wolkenhauer, Olaf
Jaster, Robert
Köhling, Rüdiger
Kunz, Manfred
Tiedge, Markus
Schofield, Paul N
Fuellen, Georg
author_sort Moeller, Mark
collection PubMed
description Traditionally, biomarkers of aging are classified as either pro-longevity or antilongevity. Using longitudinal data sets from the large-scale inbred mouse strain study at the Jackson Laboratory Nathan Shock Center, we describe a protocol to identify two kinds of biomarkers: those with prognostic implication for lifespan and those with longitudinal evidence. Our protocol also identifies biomarkers for which, at first sight, there is conflicting evidence. Conflict resolution is possible by postulating a role switch. In these cases, high biomarker values are, for example, antilongevity in early life and pro-longevity in later life. Role-switching biomarkers correspond to features that must, for example, be minimized early, but maximized later, for optimal longevity. The clear-cut pro-longevity biomarkers we found reflect anti-inflammatory, anti-immunosenescent or anti-anaemic mechanisms, whereas clear-cut antilongevity biomarkers reflect inflammatory mechanisms. Many highly significant blood biomarkers relate to immune system features, indicating a shift from adaptive to innate processes, whereas most role-switching biomarkers relate to blood serum features and whole-body phenotypes. Our biomarker classification approach is applicable to any combination of longitudinal studies with life expectancy data, and it provides insights beyond a simplified scheme of biomarkers for long or short lifespan.
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spelling pubmed-43269542015-02-19 Inbred mouse strains reveal biomarkers that are pro-longevity, antilongevity or role switching Moeller, Mark Hirose, Misa Mueller, Sarah Roolf, Catrin Baltrusch, Simone Ibrahim, Saleh Junghanss, Christian Wolkenhauer, Olaf Jaster, Robert Köhling, Rüdiger Kunz, Manfred Tiedge, Markus Schofield, Paul N Fuellen, Georg Aging Cell Original Articles Traditionally, biomarkers of aging are classified as either pro-longevity or antilongevity. Using longitudinal data sets from the large-scale inbred mouse strain study at the Jackson Laboratory Nathan Shock Center, we describe a protocol to identify two kinds of biomarkers: those with prognostic implication for lifespan and those with longitudinal evidence. Our protocol also identifies biomarkers for which, at first sight, there is conflicting evidence. Conflict resolution is possible by postulating a role switch. In these cases, high biomarker values are, for example, antilongevity in early life and pro-longevity in later life. Role-switching biomarkers correspond to features that must, for example, be minimized early, but maximized later, for optimal longevity. The clear-cut pro-longevity biomarkers we found reflect anti-inflammatory, anti-immunosenescent or anti-anaemic mechanisms, whereas clear-cut antilongevity biomarkers reflect inflammatory mechanisms. Many highly significant blood biomarkers relate to immune system features, indicating a shift from adaptive to innate processes, whereas most role-switching biomarkers relate to blood serum features and whole-body phenotypes. Our biomarker classification approach is applicable to any combination of longitudinal studies with life expectancy data, and it provides insights beyond a simplified scheme of biomarkers for long or short lifespan. BlackWell Publishing Ltd 2014-08 2014-05-23 /pmc/articles/PMC4326954/ /pubmed/24862908 http://dx.doi.org/10.1111/acel.12226 Text en © 2014 The Authors. Aging Cell published by the Anatomical Society and John Wiley & Sons Ltd. http://creativecommons.org/licenses/by/3.0/ This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Moeller, Mark
Hirose, Misa
Mueller, Sarah
Roolf, Catrin
Baltrusch, Simone
Ibrahim, Saleh
Junghanss, Christian
Wolkenhauer, Olaf
Jaster, Robert
Köhling, Rüdiger
Kunz, Manfred
Tiedge, Markus
Schofield, Paul N
Fuellen, Georg
Inbred mouse strains reveal biomarkers that are pro-longevity, antilongevity or role switching
title Inbred mouse strains reveal biomarkers that are pro-longevity, antilongevity or role switching
title_full Inbred mouse strains reveal biomarkers that are pro-longevity, antilongevity or role switching
title_fullStr Inbred mouse strains reveal biomarkers that are pro-longevity, antilongevity or role switching
title_full_unstemmed Inbred mouse strains reveal biomarkers that are pro-longevity, antilongevity or role switching
title_short Inbred mouse strains reveal biomarkers that are pro-longevity, antilongevity or role switching
title_sort inbred mouse strains reveal biomarkers that are pro-longevity, antilongevity or role switching
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4326954/
https://www.ncbi.nlm.nih.gov/pubmed/24862908
http://dx.doi.org/10.1111/acel.12226
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