Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

The Hyperfunction Theory: An Emerging Paradigm for the Biology of Aging

Version 1 : Received: 30 August 2021 / Approved: 30 August 2021 / Online: 30 August 2021 (16:11:02 CEST)

How to cite: Gems, D. The Hyperfunction Theory: An Emerging Paradigm for the Biology of Aging. Preprints 2021, 2021080552 (doi: 10.20944/preprints202108.0552.v1). Gems, D. The Hyperfunction Theory: An Emerging Paradigm for the Biology of Aging. Preprints 2021, 2021080552 (doi: 10.20944/preprints202108.0552.v1).

Abstract

The process of senescence (aging) is largely determined by the action of wild-type genes. For most organisms, this does not reflect any adaptive function of senescence, but rather evolutionary effects of declining selection against genes with deleterious effects later in life. To understand aging requires an account of how evolutionary mechanisms give rise to pathogenic gene action and late-life disease, that integrates evolutionary (ultimate) and mechanistic (proximate) causes into a single explanation. A well-supported evolutionary explanation by G.C. Williams argues that senescence can evolve due to pleiotropic effects of alleles with antagonistic effects on fitness and late-life health (antagonistic pleiotropy, AP). What has remained unclear is how gene action gives rise to late-life disease pathophysiology. One ultimate-proximate account is T.B.L. Kirkwood’s disposable soma theory. Based on the hypothesis that stochastic molecular damage causes senescence, this reasons that aging is coupled to reproductive fitness due to preferential investment of resources into reproduction, rather than somatic maintenance. An alternative and more recent ultimate-proximate theory argues that aging is largely caused by programmatic, developmental-type mechanisms. Here ideas about AP and programmatic aging are reviewed, particularly those of M.V. Blagosklonny (the hyperfunction theory) and J.P. de Magalhães (the developmental theory), and their capacity to make sense of diverse experimental findings is described.

Keywords

antagonistic pleiotropy; insulin/IGF-1 signalling; hyperfunction; quasi-programs; mTOR; theories of aging; programmatic aging

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