Factors

We need to know every factor which determines lifespan.

Lifespan factors often but not always originate from defined genetic elements. They are not just genes, by definition they can be anything for which a Classifications schema can be build for that is related to the regulation of lifespan, such entities may include Single-Nucleotide Polymorphism, transcript variants, proteins and their complexes, compounds (i.e. small molecules like metabolites and drugs), etc. A factor should be based on a defined molecular entity or genomic position and been classified. It shall be highly flexible and scalable Concept.

While individual lifespan factors within each species or precise defined molecular entities will be captured within the Lifespan App, Data Entries of the Data App may summarize for instance the relevance of each factor class (e.g. homologous group; chemical derivate of related structure and properties, etc.) as well as draw overall conclusions. o

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  • Species: + -
  • symbol name observation species
    Sybu syntabulin (syntaxin-interacting) Sybu is transcriptional downregulated in the cerebral cortex at the age 28 months under different longevity conditions such as under dietary restriction (DR) as well as in feeding switch regimens that result in extended lifespan, like early age switch to DR as well as the reverse switch under the influence of the DR-mimetic α-lipoic acid (i.e. DR switched to ad libitum+ lipoic acid) [Shona et al. 2013]. Norway rat
    Yaf2 YY1 associated factor 2 Yaf2 is transcriptional upregulated in the cerebral cortex at the age 28 months under different longevity conditions such as under dietary restriction (DR) as well as in feeding switch regimens that result in extended lifespan, like early age switch to DR as well as the reverse switch under the influence of the DR-mimetic α-lipoic acid (i.e. DR switched to ad libitum+ lipoic acid) [Shona et al. 2013]. Norway rat
    MIR21 MIRN21; hsa-mir-21; miR-21; miRNA21 MIR21 is the most highly expressed microRNA gene in octogenarians and centenarians. MIR21 expression is higher under cardiovascular diseases and lower in centenarian offspring. MIR21 is correlated with C-reactive protein and fibrinogen levels. TGF-βR2 mRNA, a MIR21 target, exhibits the highest expression in leukocytes form a subset of octogenarians. MIR-21 may be a biomarker of inflammation [23041385]. Human
    • 3 factors
    Factors are an extension of GenAge and GenDR.

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