ReviewAgeing research reviews2024
Biological constraint, evolutionary spandrels and antagonistic pleiotropy.
Review in Ageing research reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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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.
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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.
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Who cites it
16 citing papers in PubMed.
- Evolutionary genetics of ageing.Nature reviews. Genetics · 2026Review
- Slowed Gompertzian ageing in long-lived C. elegans results from expansion of decrepitude, not decelerated ageing.Nature communications · 2026Article
- Article
- Review
- Aging as a Loss of Goal-Directedness: An Evolutionary Simulation and Analysis Unifying Regeneration with Anatomical Rejuvenation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- The evolution of cancer and ageing: a history of constraint.Nature reviews. Cancer · 2025Review
- Aging by the clock and yet without a program.Nature aging · 2025Review
- Osteoarthritis as an evolutionary legacy: Biological ageing and chondrocyte hypertrophy.Osteoarthritis and cartilage open · 2025Review
- A hierarchy of causes of death in senescentbioRxiv : the preprint server for biology · 2025Article
- How aging causes osteoarthritis: An evolutionary physiology perspective.Osteoarthritis and cartilage · 2025Review
- Condition-dependent effects of knockdown of autophagy onbioRxiv : the preprint server for biology · 2025Article
- Genome-Wide Temporal Gene Expression Reveals a Post-Reproductive Shift in the Nematode Caenorhabditis briggsae.Genome biology and evolution · 2025Article
- Review
- An evolutionary medicine and life history perspective on aging and disease: Trade-offs, hyperfunction, and mismatch.Evolution, medicine, and public health · 2025Review
- Epigenetic clocks and programmatic aging.Ageing research reviews · 2024Review
- The evolution of ageing: classic theories and emerging ideas.Biogerontology · 2024Review
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Maximum lifespan differs greatly between species, indicating that the process of senescence is largely genetically determined. Senescence evolves in part due to antagonistic pleiotropy (AP), where selection favors gene variants that increase fitness earlier in life but promote pathology later. Identifying the biological mechanisms by which AP causes senescence is key to understanding the endogenous causes of aging and its attendant diseases. Here we argue that the frequent occurrence of AP as a property of genes reflects the presence of constraint in the biological systems that they specify. This arises particularly because the functionally interconnected nature of biological systems constrains the simultaneous optimization of coupled traits (interconnection constraints), or because individual traits cannot evolve (impossibility constraints). We present an account of aging that integrates AP and biological constraint with recent programmatic aging concepts, including costly programs, quasi-programs, hyperfunction and hypofunction. We argue that AP mechanisms of costly programs and triggered quasi-programs are consequences of constraint, in which costs resulting from hyperfunction or hypofunction cause senescent pathology. Impossibility constraint can also cause hypofunction independently of AP. We also describe how AP corresponds to Stephen Jay Gould's constraint-based concept of evolutionary spandrels, and argue that pathologies arising from AP are bad spandrels. Biological constraint is a conceptual missing link between ultimate and proximate causes of senescence, including diseases of aging.
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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.