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

Aging Cell

Mark Moeller²  Misa Hirose⁷  Sarah Mueller⁵  Catrin Roolf³  Simone Baltrusch⁸  Saleh Ibrahim⁷  Christian Junghanss³  Olaf Wolkenhauer¹  Robert Jaster⁵  Rüdiger Köhling⁴  Manfred Kunz⁹  Markus Tiedge⁸  Paul N. Schofield⁶ 

[1] Department of Systems Biology and Bioinformatics, University of Rostock, Rostock, Germany;Institute for Biostatistics and Informatics in Medicine und Ageing Research, Rostock University Medical Center, Rostock, Germany;Department of Hematology/Oncology/Palliative Medicine, Rostock University Medical Center, Rostock, Germany;Institute of Physiology, Rostock University Medical Center, Rostock, Germany;Division of Gastroenterology, Department of Medicine II, Rostock University Medical Center, Rostock, Germany;Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK;Department of Dermatology, University of Lübeck, Lübeck, Germany;Institute of Medical Biochemistry and Molecular Biology, Rostock University Medical Center, Rostock, Germany;Department of Dermatology, Venereology and Allergology, University of Leipzig, Leipzig, Germany

关键词: aging;    anti‐aging;    inflammation;    lifespan;    longevity;    mice;    senescence;   

DOI  :  10.1111/acel.12226

来源: Wiley

【 摘 要 】

Summary

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.

【 授权许可】

CC BY   
© 2014 The Authors. Aging Cell published by the Anatomical Society and John Wiley & Sons Ltd.

Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.