The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index; 14 of the 72 sources its claims cite were checked for support.
A damage accumulation model identifies distinct aging regimes across species
Open accessPublished version of a preprint
Abstract
Abstract Different species age in similar ways but their lifespans differ by orders of magnitude. It is not clear how these similarities and differences arise from the accumulation of damage that underlies aging. Does long lifespan arise from reduced damage production, increased removal, or enhanced robustness to damage? To address this we apply a stochastic model of damage accumulation and removal, known as the saturating removal model, and fit it to survival data from well-studied species. Several parameters have near-universal values including removal rate, noise amplitude and death threshold. Lifespan differences arise primarily from the damage production rate, which spans seven orders of magnitude. We identify two distinct aging regimes: ballistic aging where damage production outpaces removal, characterising yeast, nematodes, flies and mice, and quasi-steady-state aging where damage production and removal are balanced until old age, characterizing humans, dogs, and cats. These principles offer a mechanistic basis for comparative aging.
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Written from the paper’s full text.
TL;DR
The paper fits a stochastic saturating-removal (SR) damage-accumulation model to survival curves across species and finds that damage production rate is the strongest single predictor of lifespan. It identifies two aging regimes—ballistic aging in short-lived species and quasi-steady-state aging in longer-lived mammals—while noting that the inferred parameters are model constructs awaiting experimental validation.
Key findings
- The damage production parameter η varied by seven orders of magnitude between species and was the best single predictor of lifespan; SHAP mean importance was η = 2.85, versus threshold Xc = 1.53, removal β = 1.38, and noise ε = 0.33.
- Two aging regimes emerged: ballistic aging, where production outpaces removal, in yeast, C. elegans, flies, and mice; and quasi-steady-state aging, where damage tracks a moving set point of balanced production and removal, in humans, dogs, guinea pigs, and cats.
- Several parameter combinations were nearly universal in mammals: the noise timescale to threshold Tε = Xc²/ε ≈ 600 (within a factor of 3), and the removal-to-noise timescale ratio βXc/ε ≈ 10 (within about a factor of 2).
- Species fell on a loglinear relationship in dimensionless parameters, approximately εL/Xc² = 0.17(ηL²/Xc · βL/Xc)^0.5, with humans at one extreme and C. elegans at the other; dogs, cats, guinea pigs, starving E. coli, and Drosophila strain 853 were closest to humans.
Methods
- The authors assembled high-quality survival/mortality datasets for E. coli (n = 4,744), yeast (n = 24,512), C. elegans (n = 2,908), Drosophila strains (n ~ 1,000 each), mice (n ~ 3,000), dogs (n > 1,000 per breed), cats, guinea pigs, and humans; sample sizes per species ranged from 674 to ~80,000.
- They simulated the SR stochastic differential equation dx = (ηt − βx/(κ+x))dt + √2ε dW as an Itô process, with death as first passage of damage x across threshold Xc, using 20,000 simulated individuals per parameter set and Bayesian MCMC (Emcee) with Gaussian kernel density likelihoods and log-uniform priors.
- Hazard curves were classified as Gompertz-like or Weibull-like using BIC, and parameter importance for lifespan was quantified with KernelSHAP across 19 independently calibrated parameter sets.
Limitations
- The paper states that both species’ lifespans and SR parameters are estimated from the same survival curves, so inferred parameters such as damage production and removal are mathematical constructs rather than directly measured biological quantities; the model does not independently validate unique biological causation and awaits experimental verification.
- The paper reports an identifiability challenge: multiple parameter sets fit well, forming elongated valleys in parameter space, largely due to uncertainty in the death threshold Xc; simulated data indicated at least n = 500 individuals are needed for errors below twofold for well-defined parameter combinations and below fivefold for most others.
- The paper notes that the model does not capture the decrease in mortality at old ages in C. elegans, possibly due to phenotypic heterogeneity between plates and/or individuals not modeled; more broadly, the text makes evident that the one-dimensional scalar damage assumption is a simplifying hypothesis whose biochemical identity can differ by species.
Model-written summary. Check it against the paper before relying on it.
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Claims the paper makes
14 of 72 cited sources checked · 8 supported · 0 flagged · accuracy not yet measured
- Findingcitation
In the quasi-steady-state regime, the hazard curve resembles a Gompertz exponential rise over several decades that slows down at very old ages beyond the median lifespan (Fig. 2k).
“The hazard curve resembles Gompertz exponential rise over several decades which slows down at very old ages beyond the median lifespan (Fig. 2k)2,19,29.”
Quote in the paperSubstantial claim1 of 3 sources checked- cites [2] Alon, U. Systems Medicine: Physiological Circuits and the Dynamics of Disease (CRC Press, 2024). source
- cites [19] 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. 10, 5495 (2019). source
- cites [29] Avchaciov, K. et al. Unsupervised learning of aging principles from longitudinal data. Nat. Commun. 13, 6529 (2022). source
- Premisecitation
Cellular error rates inverse to mammalian species lifespan include somatic mutations, epigenetic dysregulation, transcription and translation errors.
“Cellular error rates that have been found to be inverse to mammalian species lifespan include somatic mutations12, epigenetic dysregulation14, transcription and translation errors13.”
Quote in the paperNot a substantial claim2 of 3 sources checked- cites [12] Cagan, A. et al. Somatic mutation rates scale with lifespan across mammals. Nature 604, 517–524 (2022). source
- cites [14] Crofts, S. J. C., Latorre-Crespo, E. & Chandra, T. DNA methylation rates scale with maximum lifespan across mammals. Nat. Aging 4, 27–32 (2023). source
- cites [13] Ke, Z. et al. Translation fidelity coevolves with longevity. Aging Cell 16, 988–993 (2017). source
The citation is attached to transcription and translation errors, not to somatic mutations or epigenetic dysregulation. The Results and discussion report that mistranslation at the first and second codon positions correlates negatively with species maximum lifespan, but say the assay's results are unlikely to reflect transcription errors. The paper therefore does not establish the claimed lifespan relationship for transcription errors. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Rests on an assumption: The damage accumulation model can apply to different forms of damage x in different organisms.
- Interpretationcitation
Reduced production of senescent cells in long-lived mammals can be due to enhanced repair of cellular damage, such as double-stranded breaks.
“Reduced production of senescent cells in long-lived mammals can be due to enhanced repair of cellular damage, such as double-stranded breaks3,9–11,58.”
Quote in the paperNot a substantial claim3 of 5 sources checked- cites [3] Lombard, D. B. et al. DNA repair, genome stability, and aging. Cell 120, 497–512 (2005). source
The Introduction links DNA-repair defects to premature cellular senescence and identifies double-strand breaks as a type of damage repaired by cellular pathways. The Conclusions predict that enhanced DNA maintenance could retard aging, but the paper does not establish that long-lived mammals produce fewer senescent cells because they repair double-strand breaks more effectively. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [9] Popov, A. A., Petruseva, I. O. & Lavrik, O. I. Activity of DNA repair systems in the cells of long-lived rodents and bats. Biochem. Mosc. 89, 1014–1023 (2024). source
- cites [10] Ma, S. et al. Cell culture-based profiling across mammals reveals DNA repair and metabolism as determinants of species longevity. eLife 5, e19130 (2016). source
The Results section (“Genes showing positive correlation with lifespan”; page unavailable) links longer lifespan to expression of DNA-repair genes, including one involved in double-strand break repair. The Discussion suggests that longer-lived species may have better repair mechanisms. The paper does not establish that this reduces production of senescent cells. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [11] Tian, X. et al. SIRT6 is responsible for more efficient DNA double-strand break repair in long-lived species. Cell 177, 622–638 (2019). source
- cites [58] Debès, C. et al. Ageing-associated changes in transcriptional elongation influence longevity. Nature 616, 814–821 (2023). source
- Rests on an assumption: The damage accumulation model can apply to different forms of damage x in different organisms.
- Findingown data
Several SR model parameters have near-universal values across species, including ratios of removal rate, noise amplitude and death threshold.
“Several parameters have near-universal values including ratios of removal rate, noise amplitude and death threshold.”
- Also stated in: § Main · plain
“We find that several parameter combinations are nearly universal between species”
Quote in the paperSubstantial claim- The authors state this as an assumption: The damage that causes aging can be summarized by a scalar x.
- The authors state this as an assumption: Life cannot persist above a certain level of damage x.
- Rests on an assumption: The biochemical nature of x can be different in each species.
- Rests on an assumption: Damage producing units (DPUs) are produced at a constant rate and their number grows linearly with age.
- Rests on an assumption: The saturation of removal at high damage is a common feature of biological processes.
- Also stated in: § Main · plain
- Findingown data
There are two distinct aging regimes: ballistic aging and quasi-steady-state aging.
“We identify two distinct aging regimes: ballistic aging where damage production outpaces removal, characterizing yeast, nematodes, flies and mice, and quasi-steady-state aging, where damage tracks a moving set point of balanced production and removal, characterizing humans, dogs, guinea pigs and cats.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The damage that causes aging can be summarized by a scalar x.
- The authors state this as an assumption: Life cannot persist above a certain level of damage x.
- Rests on an assumption: The biochemical nature of x can be different in each species.
- Rests on an assumption: Damage producing units (DPUs) are produced at a constant rate and their number grows linearly with age.
- Rests on an assumption: The saturation of removal at high damage is a common feature of biological processes.
- Findingown data
Ballistic aging is a regime where damage production outpaces removal.
“We identify two distinct aging regimes: ballistic aging where damage production outpaces removal, characterizing yeast, nematodes, flies and mice, and quasi-steady-state aging, where damage tracks a moving set point of balanced production and removal, characterizing humans, dogs, guinea pigs and cats.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The damage that causes aging can be summarized by a scalar x.
- The authors state this as an assumption: Life cannot persist above a certain level of damage x.
- Rests on an assumption: The biochemical nature of x can be different in each species.
- Rests on an assumption: Damage producing units (DPUs) are produced at a constant rate and their number grows linearly with age.
- Rests on an assumption: The saturation of removal at high damage is a common feature of biological processes.
- Findingown data
Ballistic aging characterizes yeast, nematodes, flies and mice.
“We identify two distinct aging regimes: ballistic aging where damage production outpaces removal, characterizing yeast, nematodes, flies and mice, and quasi-steady-state aging, where damage tracks a moving set point of balanced production and removal, characterizing humans, dogs, guinea pigs and cats.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The damage that causes aging can be summarized by a scalar x.
- The authors state this as an assumption: Life cannot persist above a certain level of damage x.
- Rests on an assumption: The biochemical nature of x can be different in each species.
- Rests on an assumption: Damage producing units (DPUs) are produced at a constant rate and their number grows linearly with age.
- Rests on an assumption: The saturation of removal at high damage is a common feature of biological processes.
- Findingown data
Species in the quasi-steady-state aging regime have Gompertz-like survival curves.
“The former have Weibull-like survival curves, and the latter have Gompertz-like curves.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The damage that causes aging can be summarized by a scalar x.
- The authors state this as an assumption: Life cannot persist above a certain level of damage x.
- Rests on an assumption: The biochemical nature of x can be different in each species.
- Rests on an assumption: Damage producing units (DPUs) are produced at a constant rate and their number grows linearly with age.
- Rests on an assumption: The saturation of removal at high damage is a common feature of biological processes.
- Findingown data
The assembled organisms span four orders of magnitude of median lifespan, from 100 h for starving E. coli to 80 years for humans.
“These organisms span four orders of magnitude of median lifespan, from 100 h for starving E. coli to 80 years for humans.”
Quote in the paperSubstantial claim - Findingown data
The damage production rate spans seven orders of magnitude.
“The model parameter that best predicts lifespan is the damage production rate, which spans seven orders of magnitude.”
- Also stated in: § Main · plain
“which varies by seven orders of magnitude between yeast and humans”
Quote in the paperSubstantial claim- The authors state this as an assumption: The damage that causes aging can be summarized by a scalar x.
- The authors state this as an assumption: Life cannot persist above a certain level of damage x.
- Rests on an assumption: The biochemical nature of x can be different in each species.
- Rests on an assumption: Damage producing units (DPUs) are produced at a constant rate and their number grows linearly with age.
- Rests on an assumption: The saturation of removal at high damage is a common feature of biological processes.
- Also stated in: § Main · plain
- Findingown data
The model does not capture the decrease in mortality at old ages in C. elegans (Fig. 2j).
“One exception is the decrease in mortality at old ages in C. elegans, which is not captured (Fig. 2j).”
Quote in the paperNot a substantial claim - Findingown data
The SR model parameter that best predicts lifespan is the damage production rate.
“The model parameter that best predicts lifespan is the damage production rate, which spans seven orders of magnitude.”
- Also stated in: § Main · boosted
“the strongest single parameter predictor of lifespan differences between species is the damage production rate”
Quote in the paperSubstantial claim- The authors state this as an assumption: The damage that causes aging can be summarized by a scalar x.
- The authors state this as an assumption: Life cannot persist above a certain level of damage x.
- Rests on an assumption: The biochemical nature of x can be different in each species.
- Rests on an assumption: Damage producing units (DPUs) are produced at a constant rate and their number grows linearly with age.
- Rests on an assumption: The saturation of removal at high damage is a common feature of biological processes.
- Also stated in: § Main · boosted
- Findingown data
Species in the ballistic aging regime have Weibull-like survival curves.
“The former have Weibull-like survival curves, and the latter have Gompertz-like curves.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The damage that causes aging can be summarized by a scalar x.
- The authors state this as an assumption: Life cannot persist above a certain level of damage x.
- Rests on an assumption: The biochemical nature of x can be different in each species.
- Rests on an assumption: Damage producing units (DPUs) are produced at a constant rate and their number grows linearly with age.
- Rests on an assumption: The saturation of removal at high damage is a common feature of biological processes.
- Findingown data
Quasi-steady-state aging characterizes humans, dogs, guinea pigs and cats.
“We identify two distinct aging regimes: ballistic aging where damage production outpaces removal, characterizing yeast, nematodes, flies and mice, and quasi-steady-state aging, where damage tracks a moving set point of balanced production and removal, characterizing humans, dogs, guinea pigs and cats.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The damage that causes aging can be summarized by a scalar x.
- The authors state this as an assumption: Life cannot persist above a certain level of damage x.
- Rests on an assumption: The biochemical nature of x can be different in each species.
- Rests on an assumption: Damage producing units (DPUs) are produced at a constant rate and their number grows linearly with age.
- Rests on an assumption: The saturation of removal at high damage is a common feature of biological processes.
- Findingown data
The survival and hazard curves of the studied organisms have different shapes (Fig. 2).
“Their survival and hazard curves have different shapes (Fig. 2).”
Quote in the paperSubstantial claim - Findingown data
The damage accumulation model generally describes the survival data of the studied species well (Fig. 2).
“As can be seen in Fig. 2, the model generally describes the data well.”
Quote in the paperSubstantial claim - Findingown data
The other estimated parameters also vary between organisms in a correlated way.
“The other estimated parameters also vary between organisms in a correlated way, suggesting that longevity is achieved by a coordinated change in production, removal, threshold and noise; production is the single parameter that best explains lifespan differences between species.”
Quote in the paperSubstantial claim - Findingown data
For yeast, C. elegans, flies and mice, there is a roughly inverse quadratic relation of η with lifespan L, η ∼ 1/L2.
“There is a roughly inverse quadratic relation of η with lifespan L, η ∼ 1/L2, for yeast, C. elegans, flies and mice.”
Quote in the paperSubstantial claim - Findingown data
The damage production rate is seven orders of magnitude higher in yeast than in humans.
“which is seven orders of magnitude higher in yeast than in humans.”
Quote in the paperSubstantial claim - Findingnone given
Outliers from the loglinear relationship are species with very low removal.
“Outliers are species with very low removal.”
Quote in the paperSubstantial claim - Findingown data
The mean time for noise to reach the death threshold Tε=Xc2/ε is on the order of 2 years in mice, dogs, guinea pigs, cats and humans.
“This timescale is on the order of 2 years in mice, dogs, guinea pigs, cats and humans (Fig. 4a).”
Quote in the paperSubstantial claim - Findingreasoning
Production is the single parameter that best explains lifespan differences between species.
“production is the single parameter that best explains lifespan differences between species.”
- Also stated in: § Discussion · plain
“The best single predictor of lifespan is the production rate, which spans seven orders of magnitude; the other parameters also vary in a coordinated way.”
Quote in the paperSubstantial claim - Also stated in: § Discussion · plain
- Findingown data
Across the studied species, the longer the lifespan, the lower the production parameter η (Fig. 3a).
“The longer the lifespan, the lower the η (Fig. 3a).”
Quote in the paperSubstantial claim - Findingown data
Not all short-lived organisms are ballistic.
“Not all short-lived organisms are ballistic; starving E. coli and some Drosophila strains have quasi-steady-state aging parameters and a Gompertz-like hazard curve quite similar to humans.”
Quote in the paperSubstantial claim - Findingown data
In yeast, the best-fit removal parameter β is very small and can be neglected nearly without compromising the fit quality.
“We find that in yeast the best-fit removal parameter β is very small and can be neglected nearly without compromising the fit quality.”
Quote in the paperSubstantial claim - Findingown data
The noise parameter ε had the lowest SHAP importance (0.33).
“The production parameter η had highest mean SHAP importance at 2.85, effectively matching the summed importance of the next two most important parameters, threshold Xc (1.53) and removal β (1.38), with noise ϵ (0.33) showing the lowest SHAP importance (Fig. 3b).”
Quote in the paperNot a substantial claim - Findingown data
The model also captures the hazard curves of the studied organisms.
“The model also captures the hazard curves, which are the logarithmic derivative of the survival curves.”
Quote in the paperSubstantial claim - Findingown data
Most organisms studied here lie squarely in one aging regime or the other.
“Most organisms studied here lie squarely in one regime or the other”
Quote in the paperSubstantial claim - Findingown data
Death threshold Xc in all organisms is at least ten times bigger than the damage removal saturation point κ.
“Death threshold Xc in all organisms is at least ten times bigger than the damage removal saturation point κ (Extended Data Fig. 1 and Extended Data Tables 2 and 3).”
Quote in the paperSubstantial claim - Findingnone given
Some Drosophila strains have quasi-steady-state aging parameters and a Gompertz-like hazard curve quite similar to humans.
“Not all short-lived organisms are ballistic; starving E. coli and some Drosophila strains have quasi-steady-state aging parameters and a Gompertz-like hazard curve quite similar to humans.”
Quote in the paperSubstantial claim - Findingnone given
Female mice are on the transition between the regimes, with quasi-steady-state aging up to the median lifespan and ballistic aging thereafter.
“Female mice are on the transition between the regimes, with quasi-steady-state aging up to the median lifespan and ballistic aging thereafter.”
Quote in the paperNot a substantial claim - Findingreasoning
In the ballistic regime, hazard curves are more Weibullian than Gompertzian in shape: hazard first rises sharply and then transitions to a power law before the median lifespan (Fig. 2j).
“Hazard curves are more Weibullian than Gomperzian in shape—hazard first rises sharply and then transitions to a power law before the median lifespan (Fig. 2j).”
Quote in the paperSubstantial claim - Findingown data
Other parameters are more similar between species.
“Other parameters are more similar between species.”
Quote in the paperSubstantial claim - Findingnone given
When plotted in the space of three dimensionless parameters, organisms seem to fall on a loglinear relationship.
“Despite the differences between organisms, when plotted in the space of three dimensionless parameters, organisms seem to fall on a loglinear relationship.”
Quote in the paperNot a substantial claim - Findingown data
The relation switches, around a lifespan of a few years, to η ∼ 1/L for guinea pigs, cats, dogs and humans (Fig. 3).
“This relationship switches (around L of a few years) to η ∼ 1/L for guinea pigs, cats, dogs and humans (Fig. 3).”
Quote in the paperSubstantial claim - Findingown data
These closest species have Gompertz-like hazard curves that slow down only at very old ages, long after the median lifespan.
“These species have Gompertz-like hazard curves that slow down only at very old ages, long after the median lifespan.”
Quote in the paperSubstantial claim - Findingnone given
The conserved relationship of noise and removal timescales, Tε∼10Tβ, suggests a link between noise and removal.
“The conserved relationship of noise and removal timescales, Tϵ∼10Tβ suggest a link between noise and removal.”
Quote in the paperSubstantial claim- Rests on an assumption: Removal in mammals is due to the immune system, which has a circadian rhythm.
- Findingown data
The closest species to humans in the space of the two criteria are dogs (except the largest breed tested German Shepard), cats, Guinea pigs, starving E. coli and Drosophila strain 853.
“Plotting species in the space of these two criteria, we find that the closest species to humans are dogs (except the largest breed tested German Shepard), cats, Guinea pigs, starving E. coli and Drosophila strain 853 (Fig. 5b).”
Quote in the paperSubstantial claim - Findingown data
Best-fit SR parameters across species fall on a loglinear relationship (approximately εL/Xc2=0.17(ηL2/XcβL/Xc)^0.5; equivalently L∼cε2/Xc2ηβ with c≈30).
“Plotting all species in the space of these three parameters uncovers a loglinear relationship, roughly L∼cϵ²/Xc²ηβ(days) with c ≈ 30 (Fig. 5a).”
- Also stated in: § Several strains and species show aging patterns similar to humans whereas others do not · plain
“Best fit SR parameters where damage is in units of the threshold Xc and time is in units of median lifespan L fall on a loglinear relationship, which is approximately ϵL/Xc²=0.17(ηL²/XcβL/Xc)^0.5.”
Quote in the paperSubstantial claim - Also stated in: § Several strains and species show aging patterns similar to humans whereas others do not · plain
- Findingown data
The time it takes noise to reach the death threshold in the absence of other processes Tε=Xc2/ε is approximately 600 in mammals, to within a factor of 3.
“The time it takes noise to reach the death threshold in the absence of other processes Tϵ=Xc²/ϵ≈600 in mammals, to within a factor of 3.”
Quote in the paperSubstantial claim - Findingown data
Female mice spend the first ~2 years of their life in quasi-steady-state aging and the remainder in ballistic aging.
“one exception is female mice, which spend the first ~2 years of their life in quasi-steady-state aging and the remainder in ballistic aging”
Quote in the paperSubstantial claim - Findingown data
The damage production parameter η varied by seven orders of magnitude between species.
“The production parameter η varied by seven orders of magnitude between species.”
Quote in the paperSubstantial claim - Findingown data
In SHAP analysis of the fitted model, the production parameter η had the highest mean importance, at 2.85.
“The production parameter η had highest mean SHAP importance at 2.85, effectively matching the summed importance of the next two most important parameters, threshold Xc (1.53) and removal β (1.38), with noise ϵ (0.33) showing the lowest SHAP importance (Fig. 3b).”
Quote in the paperSubstantial claim - Findingreasoning
Quasi-steady-state agers (dogs, cats, guinea pigs, humans) have a Gompertz-like exponential rise in hazard that slows at very old ages.
“In contrast, quasi-steady-state agers (dogs, cats, guinea pigs, humans) have a Gompertz-like exponential rise in hazard that slows at very old ages.”
Quote in the paperSubstantial claim - Findingown data
The yeast hazard is in rough agreement with the asymptotic SR solution, which rises quadratically with time.
“The hazard is in rough agreement with asymptotic SR solution, which rises quadratically with time.”
Quote in the paperNot a substantial claim - Findingreasoning
About half of the female mouse population dies in a quasi-steady-state regime and half in the ballistic regime.
“resulting in about half the population dying in a quasi-steady-state regime and half in the ballistic regime”
Quote in the paperNot a substantial claim - Findingnone given
Female mice are closer to human-like aging than male mice.
“Female mice are closer to human-like aging than male mice.”
Quote in the paperNot a substantial claim - Findingreasoning
In yeast, C. elegans and most fly strains, the damage production rate ηt is much larger than removal throughout most of the lifespan.
“In the first regime, found in yeast, C. elegans and most fly strains, damage production rate ηt is much larger than removal throughout most of the lifespan.”
Quote in the paperSubstantial claim - Findingown data
Certain parameter combinations are similar between mammals.
“We find that certain parameter combinations are similar between mammals, hinting at conserved processes (Fig. 4a).”
Quote in the paperSubstantial claim - Findingown data
The production rate spans seven orders of magnitude.
“The best single predictor of lifespan is the production rate, which spans seven orders of magnitude; the other parameters also vary in a coordinated way.”
Quote in the paperSubstantial claim - Findingown data
Humans share similar parameter group values with dogs, cats, guinea pigs, one Drosophila genotype and starving E. coli.
“Humans share similar parameter group values with dogs, cats, guinea pigs, one Drosophila genotype and starving E. coli.”
Quote in the paperSubstantial claim - Findingown data
Humans, mice and yeast had a large gap between the models (ΔBIC > 1,000).
“Some species, such as humans, mice and yeast had a large gap between the models (ΔBIC > 1,000); the gap was smaller for Guinea pigs, German Shepherd dogs and Drosophila strains 853 and 441 (50 < ΔBIC < 100) and they have the closest margins in our dataset.”
Quote in the paperNot a substantial claim - Findingnone given
The saturation of removal occurs in young organisms.
“The saturation of removal occurs in young organisms, and κ is the damage scale in youth and reproductive age.”
Quote in the paperSubstantial claim - Findingown data
Organisms with ballistic aging have Weibull-like hazard curves.
“We find that organisms with ballistic aging have Weibull-like hazard curves.”
Quote in the paperSubstantial claim - Findingown data
The mean SHAP importance of η (2.85) effectively matched the summed importance of the next two parameters, threshold Xc (1.53) and removal β (1.38).
“The production parameter η had highest mean SHAP importance at 2.85, effectively matching the summed importance of the next two most important parameters, threshold Xc (1.53) and removal β (1.38), with noise ϵ (0.33) showing the lowest SHAP importance (Fig. 3b).”
Quote in the paperNot a substantial claim - Findingown data
Yeast replicative aging shows a hazard curve that rises quickly for about ten generations (about half the median lifespan) and then slows to a polynomial rise for at least 50 more generations.
“Yeast replicative aging shows a hazard curve that rises quickly for about ten generations (about half the median lifespan) and then slows to a polynomial rise for at least 50 more generations (Fig. 4b).”
Quote in the paperSubstantial claim - Interpretationown data
This analysis provides a framework to compare damage production, removal and noise in different organisms.
“This analysis provides insight into the ways that evolution has sculpted strategies to resist aging-related decline across the tree of life, and provides a framework to compare damage production, removal and noise in different organisms.”
Quote in the paperSubstantial claim - Premisecitation
The SR model was defined and calibrated based on longitudinal damage measurements in mice (senescent cells) and Escherichia coli (membrane damage).
“This model was defined and calibrated based on longitudinal damage measurements in mice (senescent cells) and Escherichia coli (membrane damage)19,20.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [19] 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. 10, 5495 (2019). source
- cites [20] Yang, Y. et al. Damage dynamics and the role of chance in the timing of E. coli cell death. Nat. Commun. 14, 2209 (2023). source
- Premisenone given
The functional forms such as Gompertz or Weibull curves used in previous comparisons of survival curves have no mechanistic basis.
“Most previous approaches to compare survival curves of different species have fit functional forms such as Gompertz or Weibull curves15–18, but these functional forms have no mechanistic basis.”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [15] Wilson, D. L. The analysis of survival (mortality) data: Fitting Gompertz, Weibull, and logistic functions. Mech. Ageing Dev. 74, 15–33 (1994). source
- cites [16] Gompertz, B. On the nature of the function expressive of the law of human mortality, and on a new mode of determining the value of life contingencies. Abstr. Pap. Print. Philos. Trans. R. Soc. Lond. 2, 252–253 (1833).
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [17] Ricklefs, R. E. & Scheuerlein, A. Biological implications of the Weibull and Gompertz models of aging. J. Gerontol. A 57, B69–B76 (2002). source
- cites [18] Makeham, W. M. On the law of mortality and the construction of annuity tables. Assur. Mag. J. Inst. Actuar. 8, 301–310 (1860). source
- Interpretationreasoning
The linear rise of damage with age is required in the SR model to produce the Gompertz law.
“The linear rise of damage with age is required in the model to produce the Gompertz law, in which mortality hazard grows exponentially with time exp(αt).”
Quote in the paperSubstantial claim- The authors state this as an assumption: The damage that causes aging can be summarized by a scalar x.
- The authors state this as an assumption: Life cannot persist above a certain level of damage x.
- Premisecitation
Most previous approaches to compare survival curves of different species have fit functional forms such as Gompertz or Weibull curves.
“Most previous approaches to compare survival curves of different species have fit functional forms such as Gompertz or Weibull curves15–18, but these functional forms have no mechanistic basis.”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [15] Wilson, D. L. The analysis of survival (mortality) data: Fitting Gompertz, Weibull, and logistic functions. Mech. Ageing Dev. 74, 15–33 (1994). source
- cites [16] Gompertz, B. On the nature of the function expressive of the law of human mortality, and on a new mode of determining the value of life contingencies. Abstr. Pap. Print. Philos. Trans. R. Soc. Lond. 2, 252–253 (1833).
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [17] Ricklefs, R. E. & Scheuerlein, A. Biological implications of the Weibull and Gompertz models of aging. J. Gerontol. A 57, B69–B76 (2002). source
- cites [18] Makeham, W. M. On the law of mortality and the construction of annuity tables. Assur. Mag. J. Inst. Actuar. 8, 301–310 (1860). source
- Premisecitation
Experiments indicate that damage accelerates with age.
“Mathematically, if damage did not saturate, that is, if removal was −βx, the steady-state damage would rise linearly with age, whereas experiments indicate that damage accelerates with age2,19,20.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [2] Alon, U. Systems Medicine: Physiological Circuits and the Dynamics of Disease (CRC Press, 2024). source
- cites [19] 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. 10, 5495 (2019). source
- cites [20] Yang, Y. et al. Damage dynamics and the role of chance in the timing of E. coli cell death. Nat. Commun. 14, 2209 (2023). source
- Interpretationreasoning
If damage removal did not saturate, steady-state damage would rise linearly with age.
“Mathematically, if damage did not saturate, that is, if removal was −βx, the steady-state damage would rise linearly with age, whereas experiments indicate that damage accelerates with age2,19,20.”
Quote in the paperSubstantial claim- Rests on an assumption: The saturation of removal at high damage is a common feature of biological processes.
- Interpretationreasoning
If the linear rise ηt is changed to a quadratic rise ηt2, the model would yield h ~ exp(αt2) instead of the Gompertz law.
“If one changes the linear rise ηt to, say, a quadratic rise ηt2, one would get h ~ exp(αt2) instead of the Gompertz law.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: The damage that causes aging can be summarized by a scalar x.
- The authors state this as an assumption: Life cannot persist above a certain level of damage x.
- Premisecitation
A connection between damage and demographic patterns such as survival curves was formed using the saturating removal (SR) model.
“Recently, a connection between damage and demographic patterns such as survival curves was formed using a mathematical model of damage production and removal called the saturating removal (SR) model.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [19] 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. 10, 5495 (2019). source
- cites [20] Yang, Y. et al. Damage dynamics and the role of chance in the timing of E. coli cell death. Nat. Commun. 14, 2209 (2023). source
- Interpretationown data
These results provide a mechanistic model-based basis of comparative aging.
“These results provide a mechanistic model-based basis of comparative aging that awaits experimental validation.”
Quote in the paperSubstantial claim - Premisecitation
A one-dimensional representation of the complex biochemistry and phenotypes of aging is supported by analyses of aging data.
“The possibility of such a one-dimensional representation of the complex biochemistry and phenotypes of aging21–25 is supported by analyses of aging data26–30.”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [26] Perevoshchikova, K. & Fedichev, P. O. Differential responses of dynamic and entropic aging factors to longevity interventions. Preprint at BioRxiv https://doi.org/10.1101/2024.02.25.581928 (2024). source
- cites [27] Pridham, G., Rockwood, K. & Rutenberg, A. Efficient representations of binarized health deficit data: the frailty index and beyond. GeroScience 45, 1687–1711 (2023). source
- cites [28] Farrell, S., Mitnitski, A., Rockwood, K. & Rutenberg, A. D. Interpretable machine learning for high-dimensional trajectories of aging health. PLoS Comput. Biol. 18, e1009746 (2022). source
- cites [29] Avchaciov, K. et al. Unsupervised learning of aging principles from longitudinal data. Nat. Commun. 13, 6529 (2022). source
- cites [30] Stroustrup, N. et al. The temporal scaling of Caenorhabditis elegans ageing. Nature 530, 103–107 (2016). source
- Interpretationown data
Longevity is achieved by a coordinated change in production, removal, threshold and noise.
“The other estimated parameters also vary between organisms in a correlated way, suggesting that longevity is achieved by a coordinated change in production, removal, threshold and noise; production is the single parameter that best explains lifespan differences between species.”
Quote in the paperSubstantial claim - Interpretationreasoning
Only at a very old age, when production is large compared with removal, do the damage dynamics become more similar to ballistic aging.
“Only at a very old age when production is large compared to removal does the dynamics become more similar to ballistic aging.”
Quote in the paperSubstantial claim - Study design and conductown data
Most of the identifiability issue was due to uncertainty in estimating the death threshold XC.
“We assessed that most of the identifiability issue was due to uncertainty in estimating the death threshold XC, which provides a damage scale.”
Quote in the paperNot a substantial claim - Interpretationreasoning
This gives an inverse quadratic relationship between production and mean lifespan, η ∼ 2Xc/L2.
“This provides an inverse quadratic relationship between production and mean lifespan η∼2Xc/L².”
Quote in the paperSubstantial claim - Interpretationown data
The yeast hazard curve suggests a lack of removal in the SR model.
“Yeast hazard curve suggests lack of removal in the SR model.”
Quote in the paperNot a substantial claim - Interpretationown data
The single parameter that best explains lifespan differences between species is the damage production rate.
“Our findings suggest that the single parameter that best explains lifespan differences between species is the damage production rate”
Quote in the paperSubstantial claim- Rests on an assumption: Aging results from the accumulation of damage over time.
- Interpretationreasoning
κ is the damage scale in youth and reproductive age.
“The saturation of removal occurs in young organisms, and κ is the damage scale in youth and reproductive age.”
Quote in the paperSubstantial claim - Interpretationreasoning
Because Xc is of similar order of magnitude across species, the production parameter is expected to scale inversely with the square of lifespan, η ∼ 1/L2.
“As Xc is on the same order of magnitude in most species (Xc∼10¹), we expect that η∼1/L².”
Quote in the paperSubstantial claim - Interpretationown data
Yeast aging is an extreme case of ballistic aging-production drives damage with negligible removal.
“Yeast aging is therefore an extreme case of ballistic aging—production drives damage with negligible removal.”
Quote in the paperSubstantial claim - Interpretationreasoning
If an organism had only noise driving damage, and no production or removal, Tε would be its approximate mean lifespan.
“If we had an organism with only noise driving damage, and no production or removal, Tϵ would be its approximate mean lifespan.”
Quote in the paperSubstantial claim - Interpretationown data
There may be a continuum of strategies between two archetypes: humans at the extreme of large parameters (in units of threshold Xc and lifespan L), and yeast at the extreme of small parameters.
“This may hint at a continuum of strategies between two archetypes63: humans at the extreme of large parameters (in units of threshold Xc and lifespan L), and yeast at the extreme of small parameters.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [63] Shoval, O. et al. Evolutionary trade-offs, pareto optimality, and the geometry of phenotype space. Science 336, 1157–1160 (2012). source
- Interpretationown data
Noise may represent fluctuations in the removal process.
“Ratios between noise and removal timescales are conserved across mammals, suggesting that noise may represent fluctuations in the removal process.”
Quote in the paperNot a substantial claim - Interpretationreasoning
In this production-dominated regime, mean damage rises approximately quadratically with time, x ∼ 1⁄2ηt2.
“As a result, to a good approximation, mean damage rises ballistically (quadratically with time like a free-falling object) x∼1/2ηt².”
Quote in the paperSubstantial claim - Interpretationreasoning
The ratio of damage production to removal creates two regimes of model behaviour.
“Therefore, the ratio of production to removal creates two regimes of model behavior.”
Quote in the paperSubstantial claim - Interpretationreasoning
An inverse-linear relationship between production and lifespan, η ∼ 1/L, is therefore expected.
“We therefore expect an inverse-linear relationship η ∼ 1/L.”
Quote in the paperSubstantial claim - Interpretationreasoning
In the ballistic aging regime, damage production dominates.
“In the first—ballistic aging—damage production dominates.”
Quote in the paperSubstantial claim - Interpretationown data
The specific damage x that drives aging in yeast seems not to be countered by a strong removal process in the mother cell.
“Thus, although yeast has many repair systems, the specific damage x that drives aging seems not to be countered by a strong removal process in the mother cell.”
Quote in the paperSubstantial claim - Interpretationown data
Of the model parameters, the production rate η is the best single predictor of lifespan differences between species.
“We conclude that the of the model parameters, the production rate η, is the best single predictor of lifespan differences between species.”
Quote in the paperSubstantial claim - Interpretationreasoning
Damage crosses the death threshold Xc at the characteristic lifespan L, when 1⁄2ηL2 = Xc.
“Damage crosses the death threshold Xc at time L (the characteristic lifespan), when 1/2ηL²=Xc.”
Quote in the paperSubstantial claim - Interpretationown data
The lack of removal in yeast suggests a mechanism where damage accumulates in the mother cell without a sizable opposing process that clears it.
“The lack of removal in yeast suggests a mechanism where damage accumulates in the mother cell without a sizable opposing process that clears it.”
Quote in the paperSubstantial claim- Rests on an assumption: Aging results from the accumulation of damage over time.
- Interpretationreasoning
Animals with a lifespan close to 2 years, such as male mice, have a different aging regime than longer-lived animals in which the noise timescale is shorter than the lifespan.
“This corresponds with the notion that animals with a lifespan close to 2 years, such as male mice, have a different aging regime than longer-lived animals in which this noise timescale is shorter than the lifespan.”
Quote in the paperSubstantial claim - Study design and conductown data
The result that η is the strongest predictor of lifespan is robust across analytical frameworks, including single-parameter substitution and analysis of variance (ANOVA).
“These findings are robust across analytical frameworks including single parameter substitution and analysis of variance (ANOVA), which identify η as the strongest predictor of lifespan (Supplementary Note 3).”
Quote in the paperSubstantial claim - Interpretationreasoning
In the quasi-steady-state regime, lifespan is roughly determined by the time production reaches maximal removal (ηt = β), so that L ∼ β/η.
“As a result, lifespan is roughly determined by the time that production reaches maximal removal ηt = β, so that lifespan L ∼ β/η.”
Quote in the paperSubstantial claim - Interpretationreasoning
The paper indicates near-universality of certain aging parameters between clades.
“This sheds light on the origins of stochastic noise in aging and indicates near-universality of certain aging parameters between clades.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The production parameter may be the main knob that evolution uses to vary lifespan by orders of magnitude between organisms.
“One conclusion based on this comparative analysis is that the production parameter may be the main knob that evolution uses to vary lifespan by orders of magnitude between organisms.”
- Also stated in: § Discussion · hedged
“Evolution may be tuning lifespan primarily by changing damage production rates (by enhanced molecular repair) rather than removal rates or death thresholds, hinting at the putative target for interventions aimed at extending maximal lifespan.”
Quote in the paperSubstantial claim - Also stated in: § Discussion · hedged
- Probably not a substantial claim. 31
- It may state two separate claims as one. 35
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationThe SR equation was developed by model selection from longitudinal damage data.
“The SR equation, developed by model selection from longitudinal damage data19, is dx/dt=ηt−βx/(κ+x)+√2ϵξ.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [19] 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. 10, 5495 (2019). source
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
PremisecitationLong-lived animals share enhanced DNA repair, reduced molecular error rates and other processes.
“Long-lived animals share enhanced DNA repair3,5,9–11, reduced molecular error rates and other processes6,12–14.”
Quote in the paperNot a substantial claim5 of 9 sources checked- cites [3] Lombard, D. B. et al. DNA repair, genome stability, and aging. Cell 120, 497–512 (2005). source
The Introduction (page unavailable) reports some evidence that DNA-repair activity differs across species and may influence the rate of age-related decline. That supports a link between repair and lifespan, but not the stronger assertion that long-lived animals generally share enhanced DNA repair. This citation is attached to DNA repair, not to the sentence’s separate claim about molecular error rates. (LLM, conf=0.83)
Experimental — accuracy not yet measured - cites [5] Firsanov, D. et al. Evidence for improved DNA repair in the long-lived bowhead whale. Nature 648, 717–725 (2025). source
- cites [9] Popov, A. A., Petruseva, I. O. & Lavrik, O. I. Activity of DNA repair systems in the cells of long-lived rodents and bats. Biochem. Mosc. 89, 1014–1023 (2024). source
- cites [10] Ma, S. et al. Cell culture-based profiling across mammals reveals DNA repair and metabolism as determinants of species longevity. eLife 5, e19130 (2016). source
- cites [11] Tian, X. et al. SIRT6 is responsible for more efficient DNA double-strand break repair in long-lived species. Cell 177, 622–638 (2019). source
- cites [6] Rechsteiner, C., Morandini, F., Kim, S. J., Seluanov, A. & Gorbunova, V. Unlocking longevity through the comparative biology of aging. Nat. Aging 5, 1686–1703 (2025). source
- cites [12] Cagan, A. et al. Somatic mutation rates scale with lifespan across mammals. Nature 604, 517–524 (2022). source
- cites [13] Ke, Z. et al. Translation fidelity coevolves with longevity. Aging Cell 16, 988–993 (2017). source
- cites [14] Crofts, S. J. C., Latorre-Crespo, E. & Chandra, T. DNA methylation rates scale with maximum lifespan across mammals. Nat. Aging 4, 27–32 (2023). source
It may state two separate claims as one.
PremisecitationThe SR model explains many quantitative patterns of aging including Gompertz and Weibull hazard curves, distributions of human frailty index, disease incidence curves and heritability of lifespan.
“The SR model explains many quantitative patterns of aging including Gompertz and Weibull hazard curves19, distributions of human frailty index2, disease incidence curves31 and heritability of lifespan32.”
Quote in the paperSubstantial claim1 of 3 sources checked- cites [19] 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. 10, 5495 (2019). source
The Results section, “The SR model quantitatively recapitulates the Gompertz law” (page unavailable), explicitly says the model reproduces the Gompertz law. The citation to this paper is attached to “Gompertz and Weibull hazard curves,” but our copy does not identify a Weibull hazard curve; searches for “Weibull hazard curves” and “Weibull” found no supporting passage. The sentence assigns the frailty-index, disease-incidence, and lifespan-heritability claims to other citations. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [2] Alon, U. Systems Medicine: Physiological Circuits and the Dynamics of Disease (CRC Press, 2024). source
- cites [31] Katzir, I. et al. Senescent cells and the incidence of age-related diseases. Aging Cell 20, e13314 (2021). source
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
PremisecitationFedichev et al. proposed a stochastic ODE model derived from expansion of modes in an interacting system, with similarities to the SR model, and noted that mice and humans have quasi-stable versus stable dynamics.
“Recently Fedichev et al. proposed a stochastic ODE model derived from expansion of modes in an interacting system, with similarities to the SR model, and noted that mice and humans have quasi-stable versus stable dynamics21,22.”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [21] Fedichev, P. & Gruber, J. A minimal model explains aging regimes and guides intervention strategies. Preprint at BioRxiv https://doi.org/10.1101/2025.08.25.671954 (2025). source
- cites [22] Pyrkov, T. V. et al. Longitudinal analysis of blood markers reveals progressive loss of resilience and predicts human lifespan limit. Nat. Commun. 12, 2765 (2021). source
The Results section (“Physiological state fluctuations and loss of resilience”; page unavailable) describes DOSI fluctuations with a stochastic Langevin equation. The Discussion (page unavailable) describes a metastable state in healthy humans and cites mouse studies suggesting dynamically unstable states, but does not describe a quasi-stable-versus-stable species distinction. The passages do not derive the equation from an expansion of modes in an interacting system or compare it with an SR model. (LLM, conf=0.85)
Experimental — accuracy not yet measured
Probably not a substantial claim.
Findingown dataQuasi-steady-state aging is a regime where damage tracks a moving set point of balanced production and removal.
“We identify two distinct aging regimes: ballistic aging where damage production outpaces removal, characterizing yeast, nematodes, flies and mice, and quasi-steady-state aging, where damage tracks a moving set point of balanced production and removal, characterizing humans, dogs, guinea pigs and cats.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The damage that causes aging can be summarized by a scalar x.
- The authors state this as an assumption: Life cannot persist above a certain level of damage x.
- Rests on an assumption: The biochemical nature of x can be different in each species.
- Rests on an assumption: Damage producing units (DPUs) are produced at a constant rate and their number grows linearly with age.
- Rests on an assumption: The saturation of removal at high damage is a common feature of biological processes.
It may state two separate claims as one.
Findingown dataThe parameter that changes the most between species is the damage production parameter η, which is inverse to lifespan.
“We find that the parameter that changes the most between species is the damage production parameter η, which is inverse to lifespan.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataThe ratio between removal and noise timescales Xcβ/ε is approximately 10, up to about a factor of 2, and is conserved across mammals.
“The ratio between removal and noise timescales Xcβ/ϵ≈10 up to about a factor of 2 in mammals.”
- Also stated in: § Discussion · plain
“Ratios between noise and removal timescales are conserved across mammals”
Quote in the paperSubstantial claim- Also stated in: § Discussion · plain
Probably not a substantial claim. The paper may give no reason why it holds.
Findingnone givenThe death threshold Xc is on the same order of magnitude in most species, Xc ∼ 101.
“As Xc is on the same order of magnitude in most species (Xc∼10¹), we expect that η∼1/L².”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataGuinea pigs, German Shepherd dogs and Drosophila strains 853 and 441 had a smaller gap (50 < ΔBIC < 100) and have the closest margins in our dataset.
“Some species, such as humans, mice and yeast had a large gap between the models (ΔBIC > 1,000); the gap was smaller for Guinea pigs, German Shepherd dogs and Drosophila strains 853 and 441 (50 < ΔBIC < 100) and they have the closest margins in our dataset.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataThere are two aging regimes: ballistic aging, in which production dominates, and quasi-steady-state aging, in which production is balanced by removal until very old ages.
“The finding of two aging regimes—ballistic aging and quasi-steady-state aging—can help resolve a debate around the shape of hazard curves.”
- Also stated in: § Discussion · plain
“We find two regimes of aging: ballistic aging, in which production dominates, and quasi-steady-state aging, in which production is balanced by removal until very old ages.”
Quote in the paperSubstantial claim- Also stated in: § Discussion · plain
It may state two separate claims as one.
FindingreasoningPlotting the production parameter η against lifespan is consistent with the predicted inverse-quadratic and inverse-linear relationships (Fig. 3a).
“Plotting the production parameter η versus lifespan is consistent with these predictions (Fig. 3a).”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingnone givenStarving E. coli have quasi-steady-state aging parameters and a Gompertz-like hazard curve quite similar to humans.
“Not all short-lived organisms are ballistic; starving E. coli and some Drosophila strains have quasi-steady-state aging parameters and a Gompertz-like hazard curve quite similar to humans.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataThe hazard curves show a diversity of intercepts and shapes, ranging from power-law Weibull-like curves to exponential Gompertz-like curves with appreciable extrinsic mortality (Fig. 2j,k).
“These show a diversity of intercepts and shapes ranging from power law Weibull-like curves (Fig. 2j) to exponential Gompertz-like curves with appreciable extrinsic mortality (Fig. 2k).”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataAn analytical approximation of the SR model with β=0 shows an asymptotic hazard at late times of h(t)=3/16(η/ε)2t2+O(1), in reasonable agreement with the observed yeast hazard curve.
“An analytical approximation of the SR model with β = 0 shows an asymptotic hazard at late times of h(t)=3/16(η/ϵ)²t²+O(1) (Supplementary Note 5) in reasonable agreement with the observed hazard curve (Fig. 4b).”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataThe other model parameters show smaller trends than η and generally decrease more mildly with lifespan.
“The other model parameters show smaller trends and generally decrease more mildly with lifespan (Extended Data Fig. 1 and Extended Data Tables 2 and 3).”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
FindingreasoningIn longer-lived mammals and one Drosophila strain, removal balances production and tracks it over most of the organism's lifespan (quasi-steady state).
“In contrast, in longer-lived mammals and one Drosophila strain, we find that removal balances production and tracks it over most of the organism’s lifespan—they are at quasi-steady-state.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
FindingreasoningIn the quasi-steady-state regime, production and removal are balanced throughout most of the lifespan and damage tracks the rising production rate (Extended Data Fig. 2).
“In the second regime—quasi-steady-state aging—production and removal are balanced throughout most of the lifespan and damage tracks the rising production rate (Extended Data Fig. 2).”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataMice, C. elegans, Drosophila strains 707, 441 and 217 and yeast are closer to the ballistic regime and have different mortality patterns than humans.
“Mice; C. elegans; Drosophila strains 707, 441 and 217 and yeast are closer to the ballistic regime and have different mortality patterns than humans.”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
InterpretationreasoningThe failure to capture the old-age mortality decrease in C. elegans may be due to phenotypic heterogeneity between plates and/or individuals that the model does not represent.
“This may be due to phenotypic heterogeneity between plates and/or individuals we do not model.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
PremisecitationThe SR model was applied to invertebrates to explain rapid shifts in hazard curves in Drosophila and scaling of survival curves in C. elegans.
“It was applied to invertebrates to explain rapid shifts in hazard curves in Drosophila and scaling of survival curves in Caenorhabditis elegans2,19.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [2] Alon, U. Systems Medicine: Physiological Circuits and the Dynamics of Disease (CRC Press, 2024). source
- cites [19] 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. 10, 5495 (2019). source
Probably not a substantial claim.
InterpretationreasoningBiologically, the rise of production rate with age may represent the accumulation of damage producing units (DPUs) that are not removed.
“Biologically, the rise of production rate with age may represent the accumulation of damage producing units (DPUs) that are not removed.”
Quote in the paperSubstantial claim- Rests on an assumption: Damage producing units (DPUs) are produced at a constant rate and their number grows linearly with age.
Probably not a substantial claim. It may be too vague to check against evidence.
Interpretationown dataThis analysis provides insight into the ways that evolution has sculpted strategies to resist aging-related decline across the tree of life.
“This analysis provides insight into the ways that evolution has sculpted strategies to resist aging-related decline across the tree of life, and provides a framework to compare damage production, removal and noise in different organisms.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
PremisecitationThe SR model was applied in mice to parabiosis, compression of morbidity and combinations of longevity interventions.
“In mice it was applied to parabiosis33, compression of morbidity and combinations of longevity interventions34.”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim. The paper’s conclusions may not depend on it.
Study design and conductcitationThe choice of additive Gaussian noise is for convenience, because other types of noise such as Poisson noise or multiplicative noise terms give similar quality of fits to aging patterns.
“The choice of additive Gaussian noise is for convenience, because other types of noise such as Poisson noise or multiplicative noise terms give similar quality of fits to aging patterns (Supplementary Note 1).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Supplementary Note 1
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
It may state two separate claims as one.
PremisecitationSenescent cells are removed by the immune system, with a damage half-life of days in mice.
“Senescent cells are removed by the immune system, so that a damage half-life of days is plausible and supported experimentally in mice19.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [19] 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. 10, 5495 (2019). source
- Rests on an assumption: The damage accumulation model can apply to different forms of damage x in different organisms.
Probably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
Interpretationnone givenBiologically, Xc describes robustness mechanisms that allow an organism to survive at a given level of damage x.
“Biologically, Xc describes robustness mechanisms that allow an organism to survive at a given level of damage x.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
InterpretationreasoningRemoval rates seem roughly constant across mammals, whereas repair affects production and is improved in long-lived organisms.
“Removal rates seem roughly constant across mammals, whereas repair affects production and is improved in long-lived organisms.”
Quote in the paperSubstantial claim- Rests on an assumption: The damage accumulation model can apply to different forms of damage x in different organisms.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
Study design and conductnone givenNo statistical method was used to predetermine sample size.
“No statistical method was used to predetermine sample size. Instead, we maximized the available power by including all eligible cohorts that met our pre-established quality and homogeneity criteria.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Study design and conductown dataThere exist several sets of parameters that provide good fits.
“An identifiability challenge we encountered is the existence of several sets of parameters that provide good fits.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Study design and conductown dataOne needs at least n = 500 individuals to obtain errors smaller than twofold for the well-defined parameter combinations and less than fivefold for most other parameters.
“Using simulated data with known parameters we find that one needs at least n = 500 individuals to obtain errors smaller than twofold for the well-defined parameter combinations and less than fivefold for most other parameters.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationClassical Strelher-Mildvan models posit linearly reducing vitality and death caused by exponentially distributed events.
“Classical Strelher–Mildvan models posit linearly reducing vitality and death caused by exponentially distributed events23,64.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [23] Strehler, B. L. & Mildvan, A. S. General theory of mortality and aging: a stochastic model relates observations on aging, physiologic decline, mortality, and radiation. Science 132, 14–21 (1960). source
- cites [64] Li, T. & Anderson, J. Shaping human mortality patterns through intrinsic and extrinsic vitality processes. Demogr. Res. 28, 341–372 (2013). source
Probably not a substantial claim. The paper’s conclusions may not depend on it.
Study design and conductown dataDifferent noise types produced similar results.
“We used normal Gaussian noise, although different noise types produced similar results (Supplementary Note 1).”
Quote in the paperNot a substantial claimProbably not a substantial claim. It may state two separate claims as one.
PremisecitationSystems with the same dimensionless parameter groups tend to behave in a similar manner and respond similarly to perturbations.
“In engineering this principle is called similitude analysis54,55, where systems with the same dimensionless parameter groups tend to behave in a similar manner and respond similarly to perturbations.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [54] De Rosa, S. & Franco, F. Analytical similitudes applied to thin cylindrical shells. Adv. Aircr. Spacecr. Sci. 2, 403–425 (2015). source
- cites [55] Casaburo, A., Petrone, G., Franco, F. & De Rosa, S. A review of similitude methods for structural engineering. Appl. Mech. Rev. 71, 030802 (2019). source
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
PremisecitationThe queue theory model posits constant production and removal that drops with age, a mechanism that Karin et al. found to be at odds with damage trajectories in mice.
“This model posits constant production and removal that drops with age, a mechanism that Karin et al. found to be at odds with damage trajectories in mice19.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [19] 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. 10, 5495 (2019). source
It may state two separate claims as one.
Study design and conductown dataThe parameter sets with the best-fit scores formed elongated valleys in parameter space, denoting a continuum of parameters with a good fit.
“The parameter sets with the best-fit scores formed elongated valleys in parameter space, denoting a continuum of parameters with a good fit (Supplementary Note 2).”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
InterpretationreasoningSelection to delay aging may push death to occur far beyond the saturation of removal (Xc/κ ≫ 1).
“One reason may be that selection to delay aging pushes death to occur far beyond the saturation of removal (Xc/κ ≫ 1).”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Interpretationown dataThere are two aging regimes: a ballistic regime found in short-lived species where damage production dominates removal, and a quasi-steady-state aging regime found in mammals where damage tracks a moving set point determined by the balance of rising production and saturating removal.
“We identify two aging regimes: a ballistic regime found in short-lived species where damage production dominates removal, and a quasi-steady-state aging regime found in mammals where damage tracks a moving set point determined by the balance of rising production and saturating removal.”
Quote in the paperSubstantial claim- Rests on an assumption: Aging results from the accumulation of damage over time.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
Study design and conductown dataUsing the unnormalized values did not change the main result presented in Fig. 3a.
“Using the unnormalized values did not change the main result presented in Fig. 3a, (Extended Data Fig. 1, black markers).”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
PremisecitationReducing production alone would stretch the lifespan but also the sickspan (time of poor health at end of life) by the same factor.
“Recent analysis indicates that reducing production alone would stretch the lifespan but also the sickspan (time of poor health at end of life) by the same factor34.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [34] Yang, Y. et al. Compression of morbidity by interventions that steepen the survival curve. Nat. Commun. 16, 3340 (2025). source
Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
Study design and conductreasoningThese sample sizes are sufficient to provide statistical power for the results presented in this paper.
“These sample sizes are sufficient to provide statistical power for the results presented in this paper.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationOther frameworks include failure models in networks of components.
“Other frameworks include failure models in networks of components65–67.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [65] Gavrilov, L. A. & Gavrilova, N. S. The reliability theory of aging and longevity. J. Theor. Biol. 213, 527–545 (2001). source
- cites [66] Sun, E. D., Michaels, T. C. T. & Mahadevan, L. Optimal control of aging in complex networks. Proc. Natl Acad. Sci. USA 117, 20404–20410 (2020). source
- cites [67] Mitnitski, A. B., Rutenberg, A. D., Farrell, S. & Rockwood, K. Aging, frailty and complex networks. Biogerontology 18, 433–446 (2017). source
Probably not a substantial claim. The paper’s conclusions may not depend on it.
Study design and conductown dataRepeating the simulation without heterogeneity produced qualitatively similar results.
“We repeated the simulation without heterogeneity and obtained qualitatively similar results (see full results in git in Supplementary Information).”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
PremisecitationHazard curves are Weibull-like (power law) in some organisms and Gompertz-like (exponential) in others.
“Hazard curves are Weibull-like (power law) in some organisms and Gompertz-like (exponential) in others15,59.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [15] Wilson, D. L. The analysis of survival (mortality) data: Fitting Gompertz, Weibull, and logistic functions. Mech. Ageing Dev. 74, 15–33 (1994). source
- cites [59] Oswal, N., Martin, O. M. F., Stroustrup, S., Bruckner, M. A. M. & Stroustrup, N. A hierarchical process model links behavioral aging and lifespan in C. elegans. PLoS Comput. Biol. 18, e1010415 (2022). source
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
PremisecitationSenescent cells are a broad category of damaged cells that enter growth arrest and cause inflammation and stem cell exhaustion.
“In mammals, one candidate for x is senescent cells—a broad category of damaged cells that enter growth arrest and cause inflammation and stem cell exhaustion56,57.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [56] Kumar, N. & Walia, H. K. in Cellular Senescence, Age-Related Disorders, and Emerging Treatments (eds Qamar, I. & Maurya, P. K.) 103–133 (Springer Nature, 2025). source
- cites [57] Liu, Y. & Chen, Q. Senescent mesenchymal stem cells: disease mechanism and treatment strategy. Curr. Mol. Biol. Rep. 6, 173–182 (2020). source
- Rests on an assumption: The damage accumulation model can apply to different forms of damage x in different organisms.
Probably not a substantial claim.
InterpretationreasoningOur inferred parameters-such as damage production and removal-are mathematical constructs rather than directly measured biological quantities.
“Consequently, our inferred parameters—such as damage production and removal—are mathematical constructs rather than directly measured biological quantities.”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationAnother recent stochastic damage accumulation model based on queue theory provides a similar framework for the Gompertz law.
“Another recent stochastic damage accumulation model based on queue theory provides a similar framework for the Gompertz law24.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [24] Ledberg, A. Exponential increase in mortality with age is a generic property of a simple model system of damage accumulation and death. PLoS ONE 15, e0233384 (2020). source
It may state two separate claims as one.
InterpretationreasoningBecause η varies widely while removal and noise vary less, the production rate ηt is much larger than removal in some organisms and much smaller in others.
“Because the production parameter η varies widely, whereas removal and noise vary less, the production rate ηt is much larger than removal in some organisms, and much smaller in others.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
PremisecitationLong-living mammals have enhanced repair and reduced error rates in several processes.
“Long-living mammals have indeed been found to have enhanced repair and reduced error rates in several processes (some of which may not drive aging).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [12] Cagan, A. et al. Somatic mutation rates scale with lifespan across mammals. Nature 604, 517–524 (2022). source
- cites [14] Crofts, S. J. C., Latorre-Crespo, E. & Chandra, T. DNA methylation rates scale with maximum lifespan across mammals. Nat. Aging 4, 27–32 (2023). source
- cites [13] Ke, Z. et al. Translation fidelity coevolves with longevity. Aging Cell 16, 988–993 (2017). source
- Rests on an assumption: The damage accumulation model can apply to different forms of damage x in different organisms.
It may state two separate claims as one.
Interpretationown dataOrganisms seem to lie on a continuum between two extremes; at one extreme all parameters are small in units of threshold and lifespan (C. elegans) and at the other extreme all parameters are large (humans).
“Organisms thus seem to lie on a continuum between two extremes; at one extreme all parameters are small in units of threshold and lifespan (C. elegans) and at the other extreme all parameters are large (humans).”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationUniversity of Michigan site was found to have longer lifespan for male mice than the other sites.
“For male mice we used ITP data from the Jackson Laboratory and the University of Texas and excluded data from University of Michigan as this site was found to have longer lifespan for male mice then the other sites71.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [71] Strong, R. et al. Evaluation of resveratrol, green tea extract, curcumin, oxaloacetic acid, and medium-chain triglyceride oil on life span of genetically heterogeneous mice. J. Gerontol. A 68, 6–16 (2013). source
It may state two separate claims as one.
InterpretationreasoningIn the quasi-steady-state regime, production rises so slowly that removal adapts and becomes more saturated, so that damage rises slowly.
“Damage production rate rises so slowly that removal can adapt to it, become more saturated and damage rises slowly accordingly.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
InterpretationcitationAt quasi-steady state dx/dt ≈ 0, production approximately balances removal (ηt − βx/(κ+x) ≈ 0), and mean damage rises with age as ⟨x⟩ ∼ (κηt+ε)/(β−ηt), diverging at tc = β/η.
“Roughly speaking, at quasi-steady-state there is no change dx/dt≈0, and hence production approximately balances removal ηt−βx/(κ+x)≈0, and therefore mean damage rises with age 〈x〉∼(κηt+ϵ)/(β−ηt) diverging at tc=β/η(ref. 19).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [19] 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. 10, 5495 (2019). source
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
Study design and conductreasoningCertain parameter combinations have well-defined best fit values, whereas uncertainty in certain parameters led to large CIs.
“This resulted in certain parameter combinations having well-defined best fit values, whereas the uncertainty in certain parameters led to large CIs.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
InterpretationreasoningThe time for removal processes working at full speed to remove damage equal to the threshold is on the order of months and is ten times faster than the time for noise to reach the threshold.
“The time for removal processes working at full speed to remove damage equal to the threshold (on the order of months) is ten times faster than the time for noise to reach the threshold.”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Study design and conductreasoningOur model does not constitute independent validation of unique biological causation.
“Although our model describes how these theoretical variables track lifespan variation, it does not constitute independent validation of unique biological causation.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Study design and conductown dataBoth species' lifespans and the SR parameters are estimated from the same survival curves.
“A limitation of our approach is that both species’ lifespans and the SR parameters are estimated from the same survival curves.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
Study design and conductown dataThe paper provides comprehensive error analysis for its methodology, including dependence of error on sample size, and reports 95% CIs for all primary results.
“To ensure the robustness of our findings, we provide comprehensive error analysis for our methodology in Supplementary Note 2, including dependence of error on sample size, and report 95% CIs for all primary results.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Study design and conductown dataAll results are nearly indistinguishable from those using median lifespan calculated from data.
“All results are nearly indistinguishable from those using median lifespan calculated from data (Extended Data Tables 2 and 3).”
Quote in the paperNot a substantial claim
The paper relies on this without support.
Different species age in similar ways but their lifespans differ by orders of magnitude.
“Different species age in similar ways but their lifespans differ by orders of magnitude.”
“Different animals age in a roughly similar way, with loss of function and a sharp increase in death probability with age. However, their median lifespans vary by many orders of magnitude.”
The authors state this as an assumption.
The damage that causes aging can be summarized by a scalar x.
“The SR model is based on the simplifying hypothesis that the damage that causes aging can be summarized by a scalar x and that life cannot persist above a certain level of x.”
The authors state this as an assumption.
Life cannot persist above a certain level of damage x.
“The SR model is based on the simplifying hypothesis that the damage that causes aging can be summarized by a scalar x and that life cannot persist above a certain level of x.”
The paper relies on this without support.
The biochemical nature of x can be different in each species.
“The biochemical nature of x can be different in each species.”
The paper relies on this without support.
Damage producing units (DPUs) are produced at a constant rate and their number grows linearly with age.
“The DPUs are produced at a constant rate and therefore their number grows linearly with age.”
The paper relies on this without support.
The saturation of removal at high damage is a common feature of biological processes.
“The saturation of removal at high damage in the SR model is a common feature of biological processes.”
The paper relies on this without support.
The SR model had not been used to compare the aging of different species systematically.
“However, the SR model has not been used to compare the aging of different species systematically.”
The paper relies on this without support.
Aging results from the accumulation of damage over time.
“Aging is thought to result from the accumulation of damage over time.”
The paper relies on this without support.
The damage accumulation model can apply to different forms of damage x in different organisms.
“The damage accumulation model we use can apply to different forms of damage x in different organisms.”
The paper relies on this without support.
Removal in mammals is due to the immune system, which has a circadian rhythm.
“Removal in mammals is thought to be due to the immune system, which has a circadian rhythm.”
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Pridham, G., Rockwood, K., & Rutenberg, A. (2023) · GeroScience · doi:10.1007/s11357-022-00723-z · Cited by 17
Self-citationUnlocking longevity through the comparative biology of aging
Rechsteiner, C., Morandini, F., Kim, S. J., Seluanov, A., & Gorbunova, V. (2025) · Nature Aging · doi:10.1038/s43587-025-00945-8 · Cited by 16
O'Neill, D. G., Taffinder, J. L., Brodbelt, D. C., & Baldrey, V. (2024) · PLoS ONE · doi:10.1371/journal.pone.0299464 · Cited by 12
Analytical similitudes applied to thin cylindrical shells
De Rosa, S., & Franco, F. (2015) · Advances in aircraft and spacecraft science · doi:10.12989/aas.2015.2.4.403 · Cited by 12
Reproducibility of serum cytokines in an elderly population
Guo, J., Schupf, N., Mayeux, R. P., & Gu, Y. (2020) · Immunity & Ageing · doi:10.1186/s12979-020-00201-0 · Cited by 10
A Minimal Model Explains Aging Regimes and Guides Intervention Strategies
Fedichev, P., & Gruber, J. (2025) · doi:10.1101/2025.08.25.671954 · Cited by 7
Differential Responses of Dynamic and Entropic Aging Factors to Longevity Interventions
Perevoshchikova, K., & Fedichev, P. O. (2024) · doi:10.1101/2024.02.25.581928 · Cited by 6
Activity of DNA Repair Systems in the Cells of Long-Lived Rodents and Bats
Popov, A. A., Petruseva, I. O., & Lavrik, O. I. (2024) · Biochemistry (Moscow) · doi:10.1134/s0006297924060038 · Cited by 6
Cellular Senescence and Stem Cell Exhaustion: Implications for Aging and Regeneration
Kumar, N., & Walia, H. K. (2025) · Cellular Senescence, Age-Related Disorders, and Emerging Treatments · doi:10.1007/978-981-96-1041-9_6 · Cited by 1
HMD Countries, Update 2024-11-05
(2024) · doi:10.4054/hmd.countries.20241105 · Cited by 1
The hidden costs of dietary restriction: implications for its evolutionary and mechanistic origins
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A damage accumulation model identifies distinct aging regimes across species - related data
Raz, N. (2026) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.19885995 · Cited by 1
Self-citation
Flagged first, then by citations
Research works printed but not linked: 2
- Gompertz, B. On the nature of the function expressive of the law of human mortality, and on a new mode of determining the value of life contingencies. Abstr. Pap. Print. Philos. Trans. R. Soc. Lond. 2, 252–253 (1833).
- Lundberg, S. M. & Lee, S.-I. A unified approach to interpreting model predictions. In Proc. Advances in Neural Information Processing Systems Vol. 30 (eds Guyon, I. et al.) (Curran Associates, 2017).
Cited by
Sorted by citations
Maximal human lifespan in light of a mechanistic model of agingPreprint
Shenhar, B., Frenkel, S., Levy, T., & Alon, U. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.22.695887 · Cited by 1
Self-citationDynamics of the end-of-life phase explained by the saturating removal modelPreprint
Raz, N., Pridham, G., Rera, M., Rockwood, K. J., & Alon, U. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.04.20.719588
Self-citationA unified framework links infant vulnerability with aging-related mortality dynamicsPreprint
Shenhar, B., Strauss, T., & Alon, U. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.05.722841
Self-citationLidsky, P. V., & Ogrodnik, M. B. (2026) · Ageing Research Reviews · doi:10.1016/j.arr.2026.103304
Goldman, C., Kittivorawong, C., Salazar, S., Oh, P. M., Chang, K., Jalal, M., Pechkamnerd, P., Han, T., Rajan, A., Zhong, J., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.08.24.746750
Chmielewski, P. P., & Strzelec, B. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27208987
Metadata
- Authors
- Raz, N., Yang, Y., Pridham, G., Shenhar, B., Frenkel, S., Levy, T., Tlusty, T., Mayo, A., & Alon, U.
- Affiliations
- Weizmann Institute of Science (IL)
- Westlake University (CN)
- Ulsan National Institute of Science and Technology (KR)
- Corresponding author
- Raz, Naveh
- Alon, Uri
- ORCID
- Venue
- Nature Aging
- Published
- 2026-06-09
- Volume
- 6
- Issue
- 6
- Pages
- 1330-1340
- ISSN
- 2662-8465 (ISSN-L)
- PMC
- PMC13278975
- OpenAlex
- W7164018153
- Semantic Scholar
- ac9ff74aae9ff81a75c8aa72b56e7bb9b6936e89
- Cited by
- 7
- References
- 68
- Citations by year
- 2026: 6
- FWCI
- 7.27
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Nature Aging (publishedVersion, cc-by-nc-nd)
- Research Square (acceptedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- Funders
- EC | Horizon 2020 Framework Programme (856487)
- Zuckerman STEM Leadership Program
- Sagol Institute for Longevity Research
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Telomeres, Telomerase, and Senescence
- Keywords
- damage accumulation, aging, lifespan variation, damage removal, comparative aging, survival data
- MeSH terms
- Aging, Animals, Cats, Dogs, Guinea Pigs, Humans, Longevity, Models, Biological, Species Specificity, Stochastic Processes, Mice
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
A language model drew the claims from the paper on 2026-11-10, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-11-10 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
Cited sources are checked with a language model’s help (gpt-6-sol).
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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