Old worms, new tricks: Dynamical instability explains late-life rejuvenation in C. elegans

Old worms, new tricks: Dynamical instability explains late-life rejuvenation in C. elegans

Djakim Latumalea
1
,
Adrian Molière
2
,
Peter Fedichev
3
,
Collin Y. Ewald
2,*
,
Jan Gruber
1,*
*Correspondence to: Collin Y. Ewald, Department of Health Sciences and Technology, ETH Zürich, Zürich 8092, Switzerland. E-mail: collin-ewald@ethz.ch
Jan Gruber, Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117596, Singapore. E-mail: bchjg@nus.edu.sg
Geromedicine. 2027;3:202626. 10.70401/Geromedicine.2026.0044
Received: April 14, 2026Accepted: October 13, 2026Published: October 15, 2026
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This manuscript is made available in its unedited form to allow early access to the reported findings. Further editing will be completed before final publication. As such, the content may include errors, and standard legal disclaimers are applicable.

Abstract

How is it possible to double the lifespan of an organism already close to death? Many biological theories of aging fail to explain this phenomenon. At the Physics of Aging workshop, we used late-life lifespan extension in Caenorhabditis elegans to illustrate how a simple stochastic dynamical-systems model can naturally account for dramatic geriatric interventions. We build on a Langevin-type framework in which aging can occur in stable or unstable dynamical regimes, depending on whether slow, lifespan-determining modes are initially restoring or non-restoring. We argue that C. elegans operates in the unstable regime, a view supported independently by temporal scaling of survival curves, late-life mortality deceleration, and persistent lifespan effects following transient interventions. In the unstable regime, stochastic fluctuations are amplified over time until a failure threshold is reached as a first-passage event. The instability rate α sets the speed of this divergence, while the nonlinear feedback strength g, together with α, sets the failure boundary zmax = α/g. Auxin-induced degradation of DAF-2 in very old animals is interpreted as a late shift in dynamical parameters, and the model naturally accounts for the resulting lifespan extension without requiring reversal of accumulated structural damage. This reconciles persistent senescent pathologies with restored proteostasis and stress resilience, and suggests that altering regulatory instability, rather than reversing damage, can strongly reshape survival trajectories. More broadly, this work illustrates how low-dimensional, physics-inspired stochastic models can capture key features of aging and motivate new collaborations on late-life interventions.

Keywords

Physics of aging, Langevin model, rejuvenation, longevity, daf-2, temperature, proteohomeostasis

References

  • 1. Corsi AK, Wightman B, Chalfie M. A transparent window into biology: A primer on Caenorhabditis elegans. Genetics. 2015;200(2):387-407.
    [DOI] [PubMed] [PMC]
  • 2. Venz R, Pekec T, Katic I, Ciosk R, Ewald CY. End-of-life targeted degradation of DAF-2 insulin/IGF-1 receptor promotes longevity free from growth-related pathologies. Elife. 2021;10:e71335.
    [DOI] [PubMed] [PMC]
  • 3. Molière A, Park JYC, Goyala A, Vayndorf EM, Zhang B, Hsiung KC, et al. Improved resilience and proteostasis mediate longevity upon DAF-2 degradation in old age. Gero-Science. 2024;46(5):5015-5036.
    [DOI] [PubMed] [PMC]
  • 4. Ewald CY, Castillo-Quan JI, Blackwell TK. Untangling longevity, dauer, and healthspan in caenorhabditis elegans insulin/IGF-1-signalling. Gerontology. 2018;64(1):96-104.
    [DOI] [PubMed] [PMC]
  • 5. Kenyon C, Chang J, Gensch E, Rudner A, Tabtiang R. A C. elegans mutant that lives twice as long as wild type. Nature. 1993;366(6454):461-464.
    [DOI] [PubMed]
  • 6. Dillin A, Crawford DK, Kenyon C. Timing requirements for insulin/IGF-1 signaling in C. Elegans. Science. 2002;298(5594):830-834.
    [DOI] [PubMed]
  • 7. Gladyshev VN, Kritchevsky SB, Clarke SG, Cuervo AM, Fiehn O, de Magalhães JP, et al. Molecular damage in aging. Nat Aging. 2021;1(12):1096-1106.
    [DOI] [PubMed] [PMC]
  • 8. Kim SS, Lee SJV. Non-coding RNAs in Caenorhabditis elegans aging. Mol Cells. 2019;42(5):379-385.
    [DOI] [PubMed] [PMC]
  • 9. Zhang L, Ward JD, Cheng Z, Dernburg AF. The auxin-inducible degradation (AID) system enables versatile conditional protein depletion in C. elegans. Development. 2015;142(24):4374-4384.
    [DOI] [PubMed] [PMC]
  • 10. Podolskiy D, Molodtcov I, Zenin A, Kogan V, Menshikov LI, Gladyshev VN, et al. Critical dynamics of gene networks is a mechanism behind ageing and Gompertz law. arXiv [Preprint]. 2016.
    [DOI]
  • 11. Fedichev P, Gruber J. A minimal model explains aging regimes and guides intervention strategies. bioRxiv [Preprint]. 2025.
    [DOI]
  • 12. Stroustrup N, Anthony WE, Nash ZM, Gowda V, Gomez A, López-Moyado IF, et al. The temporal scaling of Caenorhabditis elegans ageing. Nature. 2016;530(7588):103-107.
    [DOI] [PubMed] [PMC]
  • 13. Lithgow GJ, White TM, Melov S, Johnson TE. Thermotolerance and extended life-span conferred by single-gene mutations and induced by thermal stress. Proc Natl Acad Sci USA. 1995;92(16):7540-7544.
    [DOI] [PubMed] [PMC]
  • 14. Cypser JR, Johnson TE. Multiple stressors in Caenorhabditis elegans induce stress hormesis and extended longevity. J Gerontol A Biol Sci Med Sci. 2002;57(3):B109-B114.
    [DOI] [PubMed]
  • 15. Johnson TE. Increased life-span of age-1 mutants in Caenorhabditis elegans and lower Gompertz rate of aging. Science. 1990;249(4971):908-912.
    [DOI] [PubMed]
  • 16. Brooks A, Lithgow GJ, Johnson TE. Mortality rates in a genetically heterogeneous population of Caenorhabditis elegans. Science. 1994;263(5147):668-671.
    [DOI] [PubMed]
  • 17. Vaupel JW, Carey JR, Christensen K, Johnson TE, Yashin AI, Holm NV, et al. Biodemographic trajectories of longevity. Science. 1998;280(5365):855-860.
    [DOI] [PubMed]
  • 18. Hamilton WD. The moulding of senescence by natural selection. J Theor Biol. 1966;12(1):12-45.
    [DOI] [PubMed]
  • 19. Kern CC, Gems D. Semelparous death as one element of iteroparous aging gone large. Front Genet. 2022;13:880343.
    [DOI] [PubMed] [PMC]
  • 20. Blagosklonny MV. Cell senescence, rapamycin and hyperfunction theory of aging. Cell Cycle. 2022;21(14):1456-1467.
    [DOI]
  • 21. Ezcurra M, Benedetto A, Sornda T, Gilliat AF, Au C, Zhang Q, et al. C. elegans eats its own intestine to make yolk leading to multiple senescent pathologies. Curr Biol. 2018;28(16):2544-2556.e5.
    [DOI] [PubMed] [PMC]
  • 22. Kern CC, Townsend S, Salzmann A, Rendell NB, Taylor GW, Comisel RM, et al. C. elegans feed yolk to their young in a form of primitive lactation. Nat Commun. 2021;12:5801.
    [DOI] [PubMed] [PMC]
  • 23. Tissenbaum HA. Using C. Elegans for aging research. Invertebr Reprod Dev. 2015;59:59-63.
    [DOI] [PubMed] [PMC]
  • 24. Lemaître JF, Moorad J, Gaillard JM, Maklakov AA, Nussey DH. A unified framework for evolutionary genetic and physiological theories of aging. PLoS Biol. 2024;22(2):e3002513.
    [DOI] [PubMed] [PMC]
  • 25. Gems D. The hyperfunction theory: An emerging paradigm for the biology of aging. Ageing Res Rev. 2022;74:101557.
    [DOI] [PubMed] [PMC]
  • 26. Gladyshev VN, Aging: Progressive decline in fitness due to the rising deleteriome adjusted by genetic, environmental, and stochastic processes. Aging Cell. 2016;15(4):594-602.
    [DOI] [PubMed] [PMC]
  • 27. Pio-Lopez L, Hartl B, Levin M. Aging as a loss of goal-directedness: An evolutionary simulation and analysis unifying regeneration with anatomical rejuvenation. Adv Sci. 2025;12(46):e09872.
    [DOI] [PubMed] [PMC]
  • 28. Avchaciov K, Antoch MP, Andrianova EL, Tarkhov AE, Menshikov LI, Burmistrova O, et al. Unsupervised learning of aging principles from longitudinal data. Nat Commun. 2022;13:6529.
    [DOI] [PubMed] [PMC]
  • 29. Karin O, Agrawal A, Porat Z, Krizhanovsky V, Alon U. Senescent cell turnover slows with age providing an explanation for the Gompertz law. Nat Commun. 2019;10:5495.
    [DOI] [PubMed] [PMC]
  • 30. Alon U. Systems medicine: Physiological circuits and the dynamics of disease. New York: Chapman and Hall/CRC; 2023.
    [DOI]
  • 31. Yang Y, Mayo A, Levy T, Raz N, Shenhar B, Jarosz DF, et al. Nat. Commun. 2025;16(1):3340.
    [DOI] [PubMed] [PMC]
  • 32. Caenorhabditis Genetics Center, University of Minnesota, Strain RAF2181. Available from: https://cgc. umn.edu/strain/RAF2181
  • 33. Shen X, Wang C, Zhou X, Zhou W, Hornburg D, Wu S, et al. Nonlinear dynamics of multi-omics profiles during human aging. Nat Aging. 2024;4(11):1619-1634.
    [DOI] [PubMed] [PMC]
  • 34. Ding Y, Zuo Y, Zhang B, Fan Y, Xu G, Cheng Z, et al. Comprehensive human proteome profiles across a 50-year lifespan reveal aging trajectories and signatures. Cell. 2025;188(20):5763-5784.e26.
    [DOI] [PubMed]
  • 35. Lehallier B, Gate D, Schaum N, Nanasi T, Lee SE, Yousef H, et al. Undulating changes in human plasma proteome profiles across the lifespan. Nat Med. 2019;25(12):1843-1850.
    [DOI] [PubMed] [PMC]
  • 36. Stephenson D, Brumfield M, Romero K, Woodcock J, Zineh I, Reiman EM, et al. Alzheimer’s and Parkinson’s diseases face common challenges in therapeutic development: Role of the precompetitive consortium, coalition against major diseases. , J Alzheimers Dis Parkinsonism. 2015;5(1):
    [DOI]
  • 37. Reiman EM, Langbaum JB, Tariot PN, Lopera F, Bateman RJ, Morris JC, et al. CAP-advancing the evaluation of preclinical Alzheimer disease treatments. Nat Rev Neurol. 2016;12(1):56-61.
    [DOI] [PubMed] [PMC]
  • 38. Schaible R, Scheuerlein A, Dańko MJ, Gampe J, Martínez DE, Vaupel JW. Constant mortality and fertility over age in Hydra. Proc Natl Acad Sci USA. 2015;112(51):15701-15706.
    [DOI] [PubMed] [PMC]
  • 39. Vaudano AP, Pierron M, Stojkov´ıc L, Membrez M, Bourgeois M, Neal C, et al. MOSAIC: a longitudinal phenotypic clock to dissect organismal aging trajectories in C. elegans. bioRxiv [Preprint]. 2026.
    [DOI] [PubMed] [PMC]

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Latumalea D, Molière A, Fedichev P, Ewald CY, Gruber J. Old worms, new tricks: Dynamical instability explains late-life rejuvenation in C. elegans. Geromedicine. 2027;3:202626. https://doi.org/10.70401/Geromedicine.2026.0044

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