ArticleAging cell2014
Inbred mouse strains reveal biomarkers that are pro-longevity, antilongevity or role switching.
Article in Aging cell, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Comparative cataract-lens opacification across species.Eye (London, England) · 2025Review
- Cellular Aging Characteristics and Their Association with Age-Related Disorders.Antioxidants (Basel, Switzerland) · 2020Review
- Cognitive Reserve in Model Systems for Mechanistic Discovery: The Importance of Longitudinal Studies.Frontiers in aging neuroscience · 2020Review
- Health and Aging: Unifying Concepts, Scores, Biomarkers and Pathways.Aging and disease · 2019Review
- Function, Oxidative, and Inflammatory Stress Parameters in Immune Cells as Predictive Markers of Lifespan throughout Aging.Oxidative medicine and cellular longevity · 2019Article
- Longitudinal study of leukocyte DNA methylation and biomarkers for cancer risk in older adults.Biomarker research · 2019Article
- HippocampalFrontiers in cell and developmental biology · 2018Article
- Mortality is associated with inflammation, anemia, specific diseases and treatments, and molecular markers.PloS one · 2017Article
- Polymorphisms of the murine mitochondrial ND4, CYTB and COX3 genes impact hematopoiesis during aging.Oncotarget · 2016Article
- Approaches to Investigating Complex Genetic Traits in a Large-Scale Inbred Mouse Aging Study.Veterinary pathology · 2016Article
- Accessing Data Resources in the Mouse Phenome Database for Genetic Analysis of Murine Life Span and Health Span.The journals of gerontology. Series A, Biological sciences and medical sciences · 2016Article
- Article
- Immune cell-based screening assay for response to anticancer agents: applications in pharmacogenomics.Pharmacogenomics and personalized medicine · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.