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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  • Types: + -
  • symbol name observation species
    Diabenol In female NMRI and transgenic HER-2/neu mice supplementation of diabenol with drinking water 5 times a week since the age of 2 months, increases survival and inhibits spontaneous carcinogenesis. In NMRI diabenol does not influence body weight gain dynamics, food and water consumption, but slowed down age-related disturbances in estrous function and increases the lifespan of all and 10% most long-living ones. Diabenol treatment in NMRI mice also inhibits spontaneous tumor incidence (mammary and lymphomas mainly) and increases mammary tumor latency. Diabenol treatment slows down age-related changes in estrous function in HER-2/neu mice, but fails to influence survival and slightly inhibited the incidence and decrease the size of mammary adenocarcinoma metastasis into the lung [15754958]. House mouse
    • 1 factor
    Factors are an extension of GenAge and GenDR.

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