1 Gerontology, in press The unfortunate influence of the weather on the rate of aging: why human caloric restriction or its emulation may only extend life expectancy by 2-3 years Aubrey D.N.J. de Grey Department of Genetics, University of Cambridge Running head: the weather and the rate of aging Key words: life expectancy, caloric restriction, nutrient sensing, life-extension drugs Postal address: Dr. Aubrey D.N.J. de Grey, Department of Genetics, University of Cambridge, Downing Street, Cambridge CB2 3EH, UK Tel: +44 1223 765665 Fax: +44 1223 333992 Email: ag24@gen.cam.ac.uk Abstract Much research interest, and recently even commercial interest, has been predicated on the assumption that reasonably closely-related species – humans and mice, for example – should in principle respond to aging-retarding interventions with an increase in maximum lifespan roughly proportional to their control lifespan (that without the intervention). Here it is argued that the best-studied life-extending manipulations of mice are examples of a category that is highly unlikely to follow this rule, and more likely to exhibit only a similar absolute increase in maximum lifespan from one species to the next, independent of the species’ control lifespan. That category – reduction in dietary calories or in the organism’s ability to metabolise or sense them – is widely recognised to extend lifespan as an evolutionary adaptation to transient starvation in the wild, a situation which alters the organism’s optimal partitioning of resources between maintenance and reproduction. What has been generally overlooked is that the extent of the evolutionary pressure to maintain adaptability to a given duration of starvation varies with the frequency of that duration, something which is – certainly for terrestrial animals, and less directly for others – determined principally by the weather. The pattern of starvation that the weather imposes is suggested here to be of a sort that will tend to cause all terrestrial animals, even those as far apart phylogenetically as nematodes and mice, to possess the ability to live a similar maximum absolute (rather than proportional) amount longer when food is short than when it is plentiful. This generalisation is strikingly in line with available data, leading (given the increasing implausibility of further extending human mean but not maximum lifespan in the industrialised world) to the biomedically and commercially sobering conclusion that interventions which manipulate caloric intake or its sensing are unlikely ever to confer more than two or three years’ increase in human mean or maximum lifespan at the most. Introduction The phenomenon of lifespan extension by caloric restriction has been studied in mice by gerontologists for at least 70 years [1], and for at least the past 25 years has enjoyed intense research interest. [Note: throughout this article, “lifespan” is used to denote the maximum lifespan or lifespan potential, which is customarily defined as the mean longevity of the longest-living 10% of a given population.] A development that has particularly spurred this line of work in the past decade is the rise of the nematode 2 worm, Caenorhabditis elegans, as a research organism in many areas of biology, including gerontology. C. elegans also responds to starvation with a rise in lifespan. A reduction in food availability initiated at the last larval moult extends lifespan by about 60% relative to “ad libitum” food density, very much the same proportional extent as the maximum resulting from caloric restriction (CR) in mice [2]. C. elegans exhibits a much more dramatic phenotype, however, when subjected during early larval life to a more severe (typically total) unavailability of calories. (It is not traditional to call this manipulation “caloric restriction”, but that is a purely terminological convention which must not distract us from comparing different degrees of deprivation of nutrients if such a comparison might prove illuminating.) It enters a state known as dauer, a developmental arrest in which energy utilisation is drastically reduced [3]. Dauer larvae can survive for three months without harm, as shown by resumption of development and progression to fertile adulthood on reintroduction of food [4]. Moreover, this may underestimate their potential longevity, for several reasons: - the measurement cited above [4] has apparently not been repeated under a range of conditions such as liquid versus solid culture, food concentration prior to entering dauer, temperature, etc.; - a maximum lifespan of six months has been achieved by a combination of genetic and surgical interventions whose gene expression effects substantially overlap the dauer profile [5]; - these original experiments, like most using C. elegans, involved feeding standard E. coli, which has been shown to reduce nematode lifespan relative to bacteria with a lipid composition more similar to typical soil bacteria [6]; - in the original study [4], post-dauer lifespan of individuals restored from dauer after two months had the same remaining life expectancy as ones that had been in dauer for only five days, whereas a truly maximal period in the dauer state should intuitively entail a certain amount of aging. This indicates that dauers may simply starve to death rather than aging “only” 3-4 times more slowly than fed worms. Numerous other poikilotherm species are also capable of surviving complete absence of nutrients for similar or even longer periods (Table 1). Conversely, this degree of starvation of mice is, of course, rapidly fatal. Organism Manipulation Max. life extension Reference C. elegans Genetic and anatomical 5 months 5 Drosophila Temperature, photoperiod Several months to a year 7,8 Grasshopper Desiccation Several months 9 Mus musculus (relative to non-obese controls) 53% CR ~14 months 10 Dog 25% CR ~14 months 11 Cow (highly tentative) ~40% CR ~12 months 12 Table 1. Maximum observed nutrient- or nutrient sensing-related life extension in a variety of taxa. The life extension given is the greatest obtained by either direct caloric limitation or artificial manipulation of nutrient sensing. The ages compared are maximum lifespan, defined as mean of the longest-lived 10%. A traditional gerontological interpretation of the observations mentioned thus far is as follows: 3 - Moderate CR induces a moderate increase in lifespan. - In simple organisms such as nematodes, metabolism is sufficiently plastic that a much more severe reduction in food supply can be tolerated, by adopting a drastically altered metabolic state. - In higher animals, by contrast, the metabolic state is more tightly constrained by the structure and function of various tissues, so no comparably fundamental metabolic shift is possible. Teleologically speaking, evolution has come closer to “running out of ideas” to increase lifespan of already long-lived species. However, the description of such animals as “simple” is controversial: after all, all metazoans yet sequenced have over half as many genes as mammals. Here it is argued that the above analysis is evolutionarily oversimplistic, and that the true reason why mice lack the ability to treble (or more) their lifespan in response to environmental vicissitudes is that they have not evolved in the presence of adequate selective pressure to develop (or to retain) that ability. It is proposed that the major determinant of the degree of this selective pressure is the frequency distribution of different durations and intensities of starvation in nature, something that is governed principally by the weather (via the oscillating abundance of vegetation) and is thus similar for all terrestrial animals. All such species “know” how to live several months longer when starved than they do when food is plentiful; on this hypothesis, that is because this is a useful facility often enough to be maintained during evolution. Conversely, it is proposed that the reason no such species yet studied knows how to live five years longer than normal is that this is too seldom useful to have been evolved or retained. Available data (Table 1) are consistent with this idea: while some organisms have been studied much more thoroughly than others and future data may tell a different story, the maximum absolute life extension elicitable in long-lived animals seems at present to be only a little more than in short-lived ones. The ratio of absolute life extensions is far less than the ratio of lifespans. In this article, I first review some established concepts in the evolutionary biology of aging and thereby highlight how it has become unquestioned that similar interventions should produce similar percentage increases in lifespan – a belief which I term the “proportionality principle”. I then discuss why interventions related to nutrient sensing or availability are likely, on purely evolutionary grounds, to depart from that principle, and I propose a broadly quantitative prediction of that departure which is strikingly in line with the data presented in Table 1. Then I address various potential objections to the hypothesis, including ostensible counterexamples, and conclude by discussing its relevance to the burgeoning search for pharmaceutical retardants of human aging. Three types of evolutionary pressure not to age Aging deceleration caused by reduced extrinsic mortality In the 1950s, seminal articles by Medawar and Williams overturned a tenet of gerontological conventional wisdom that had gone unchallenged for over half a century. Weismann had suggested in the late 19th century [13] that aging exists because it facilitates natural selection: the presence of healthy but aged individuals would hinder the ability of younger members of the species to compete with each other, resulting in slower adaptation to the environment and consequently, in the long run, a competitive disadvantage of the species as a whole relative to species whose older individuals were continually removed from the population. Medawar noted [14] that this could not be right, because aging is virtually unknown in natural environments: even species at the top of the food chain experience so high a rate of mortality throughout their lives (from starvation, hypothermia and so on) that they almost never live to ages at which, in a protected environment, they begin to show signs of declining function. He proposed that the real reason aging exists in protected environments is because it has not been selected away in the wild: traits that confer frailty only at ages when extrinsic mortality has done away with all individuals anyway will experience no selective pressure for elimination during evolution. (This insight is often misstated as a low selective pressure to maintain the organism beyond its reproductive lifespan; while that is 4 true, it misses the point, because evolution typically extends a species's reproductive lifespan in tandem with its total lifespan.) Five years later, Williams refined this idea [15] by pointing out that, occasionally, genes or pathways would evolve which were beneficial to survival early in life but also deleterious at advanced ages, so that aging might be partly driven by processes actively retained by natural selection. These ideas were later further refined: in 1967, Edney and Gill proposed [16] that the rate of extrinsic mortality (from predation, starvation, etc.) of a population would, in general, modulate its rate of intrinsic mortality – that is, its rate of aging. This hypothesis has since been robustly confirmed (e.g., ref. 17). Aging deceleration from pressure to preserve function more than a lifetime A decade later, the evolutionary theory of organismal aging was extended into a theory of tissue aging. Kirkwood’s "disposable soma" theory [18] notes that the organism must take much better care of its germ line than of any other tissues, because the latter are of no relevance to the long-term survival of the species once the organism's offspring have reached independence, whereas the germ line must propagate undamaged indefinitely. Again, this is now clearly supported by the available evidence (e.g., ref. 19). Aging deceleration from pressure to reproduce when offspring will survive The topic that concerns us here is a third type of evolutionary influence on the rate of aging, as different from both the concepts just outlined as they are from each other. This third response to the variation in evolutionary pressure not to age concerns not variation between individuals (or populations), nor between tissues within a single organism, but between environments which an organism is reasonably likely to encounter. Of all the major causes of extrinsic mortality, starvation is the only one that substantially alters the typical organism's "optimal" rate of aging. Food scarcity makes it unlikely that any offspring one may have would survive to adulthood, so it is preferable to divert effort into preserving oneself until food returns. But when food is plentiful, the best strategy is to make good use of that food by turning it into progeny. There is no way out of the fact that breeding is hard work, so the ideal strategy for fitness (maximising progeny that survive to have their own) is to possess genetic machinery that will allow nutrient availability to modulate the partitioning of energy expenditure between breeding now and maintaining the ability to breed later. Unlike, for example, the presence or absence of predators, the presence or absence of abundant food is something that often varies unpredictably during an organism’s life on a timescale amenable to responses involving altering gene expression patterns, thus rewarding the possession of genetic machinery to respond to such variation in a fitness-maximising manner. Physiologically, this is manifest in very different ways in different organisms, from sporulation in yeast to dauer larva formation in nematodes to cancer defence in laboratory mice; this is beginning to be seen to have resulted in the appearance of quite stark differences in the downstream aspects of the gene expression pathways induced by CR, even though the upstream aspects are highly conserved [20]. This general idea was introduced independently about 15 years ago by Harrison and Archer [21] and by Holliday [22] and is generally accepted. (Harrison and Archer [21] went further, as will be discussed below.) A potential objection is that the most effective laboratory CR experiments do not impose simple starvation but typically supplement the food with micronutrients, thus restricting calories but maintaining optimal nutrition. However, one might expect the patterns of gene expression changes seen in CR experiments to be largely independent of micronutrient supply, and indeed this was recently shown [23]. It should also be noted that this logic still applies even in environments in which only a small proportion of individuals avoid extrinsic causes of death (such as predation) long enough to benefit from their slowed aging, so long as the chance of survival of any offspring born during a famine is low. Nevertheless, this model does not explain all that one might like to explain about the magnitude of the life-extension response – in particular, the stark non-proportionality of the maximum life extension elicited (by any directly or indirectly starvation-related means) in different species. I present below a refinement which seeks to do that. 5 The proportionality principle and its limitations There is no persuasive evidence that evolution has remotely approached the limits of its ability to produce progressively longer-lived organisms, even within the confines of potentially challenging “design constraints” such as homeothermy. Rather, the non-existence of (for example) terrestrial mammals with a life expectancy exceeding 100 years may well be a consequence merely of the non-existence until very recently of a terrestrial mammal with a level of extrinsic mortality low enough to make such a life expectancy evolutionarily advantageous. For example, evidence is accumulating that inherent resistance to infection, manifest as a robust inflammatory response, accelerates the progression of a wide range of age-related diseases including Alzheimer’s, cardiovascular disease and diabetes [24], and it also impairs fertility [25]. This means that the dramatic reduction of early death from infections in developed nations may already, after only a few generations, have begun to result in selection of traits that make humans more susceptible to no-longer-life-threatening infections but less prone to autoinflammatory cascades with cumulative impact on tissue function, increasing their longevity. Evidence that this is already increasing life expectancy (via a population shift to a less pro-inflammatory cytokine profile) is now available [26]. Interestingly, the rapidity of this response is comparable to the rate of percentage increase of life expectancy per generation seen in populations of fruit flies reared under conditions selective for increased lifespan [27]. It seems from these examples that there may be, to a first approximation, a species-independent maximum percentage rate per generation of evolution of longer life inducible by an abrupt alteration in environmental conditions – which would not be predicted if evolution were “running out of ideas” to make long-lived organisms live even longer. We can thus propose that evolution of longevity seems broadly to follow a “proportionality principle”. The disposable soma theory admits similar analysis. Reproductive senescence may in certain circumstances be an adaptation in its own right [28], but in general it precedes mortality in protected environments simply because so few individuals survive to old age in the wild that there is negligible selective pressure to build the reproductive system to function well for that long. Hence, an organism that is evolving a longer lifespan will tend to evolve better reproductive system maintenance (and hence a longer reproductive lifespan) to go with it; this is reflected in the quite limited cross-species variation in the ratio of reproductive lifespan to total lifespan [29]. The same does not apply, however, to nutrient-mediated adaptation of the rate of aging. Being mainly a function of the weather (via its effect on the abundance of vegetation), starvation of a given duration necessarily occurs at broadly the same frequency, on average, for all terrestrial animals – whatever their ad libitum-fed life expectancy. Here it is proposed that this is why the maximal observed effect of nutrient shortage (or simulation of such shortage at the gene expression level) in worms and in mice differs only by a factor of about 3 in the absolute amount of life extension, even though well-fed mice and worms have lifespans differing by a factor of 50 or so: there is negligible evolutionary pressure for mice to maintain the ability to vary their life expectancy by a factor of 5 on demand, whereas that pressure is considerable for worms. It should be stressed that the elicitation of life extension by genetic manipulation is in this regard much more similar to a starvation response than to the effect of evolution, even though starvation does not change genes and evolution does. This is because presently feasible (or indeed designable) genetic manipulations are restricted to one or a few genes (though many other, unmanipulated genes may be affected in consequence). A response to environmental conditions works similarly, with one or a few genes reacting to changed metabolite concentrations (and thence perhaps altering the expression of many others downstream), whereas evolution coordinately alters as many genes as the selective pressure influences. A related point of possible confusion is that a species exposed for many generations to sustained food shortages will evolve the ability to tolerate this, but must not at the same time adopt a virtual or total cessation of reproduction as is warranted when the starvation is briefer. Thus, very longterm environmental challenges cannot be considered in the same way as those against which temporary reallocation of resources away from reproduction is a viable defence. 6 What’s special about a year? The concept that starvation will extend long-lived species’ lifespans by a smaller proportion than shortlived species’ lifespans was introduced by Harrison and Archer [21] and led them to predict a smaller lifeextension response to CR in the long-lived white-footed mouse, Peromyscus leucopus, than in Mus musculus – something that has apparently still not been tested. However, as it stands, their model makes no such prediction. Rather, the essentially random pattern of starvation in the wild would seem to predict a maximal elicitable life extension that is proportional to the “ad-libitum” lifespan. The longer one lives, the more starvation one is likely to experience over one’s whole lifetime; hence, the more pressure there will be to live a given absolute amount longer, and conversely the absolute life extension that there is enough pressure to elicit to cause the retention of the necessary genetic wherewithal will surely be greater in longer-lived organisms. The flaw in this logic is that the distribution of starvation is not scale-free; it is much “clumpier” at timescales less than a year than at greater ones. That is to say: because of the strictly circannual cycle of availability of vegetation (the direct or indirect food source of all terrestrial animals), the probability that food will be scarce tomorrow, if it is scarce today, is high, and the probability that food will be scarce next month, if it is scarce this month, is comparably high, but the probability that food will be scarce next year, if it is scarce this year, is considerably lower (though still, presumably, higher than if food is plentiful this year). This means that, on the one hand, if the frequency of a given severity of starvation lasting a month is enough that a given species gains a fitness advantage by maintaining the genetic machinery to survive it, then that species will also very probably gain a fitness advantage by surviving that same severity of starvation for two months, or perhaps as much as a year (since lean summers presage lean winters), because the frequency of that longer period of starvation will be comparable to the frequency of the shorter one. On the other hand, however, the frequency of two successive years of starvation is considerably less than the frequency of one, and may not be enough to make those two years “worth” carrying around the machinery to survive even if it is worth surviving one such year. Further, this makes no assumption that the periods of famine for all species in a given locale will coincide (which may well not be true – losses in some populations may allow competing populations!to flourish even in the face of a generally reduced common food supply): all that is asserted is that each species will experience periods of famine, and that periods up to a year or so will be of roughly comparable frequency but periods longer than that will be rarer. This contrast between sub-year and multi-year “clumpiness” of starvation is more acute than it might at first seem, because the frequency of starvation (or of any life-threatening environmental phenomenon) that is needed for an organism to be better off maintaining the genetic wherewithall to exploit or survive it is very low – much less than once per generation, since all that is needed is for those that have lost that machinery by random mutation to be culled before too many individuals have lost it. On the assumption that more severe famines are rarer than less severe ones, and on the further assumption that genetic pathways conferring the ability to survive a severe famine will also (perhaps with minor adjustments) confer the ability to survive a less severe one, such that only one major famine-survival mechanism is likely to exist in a given organism, we can thus predict that the degree of famine which elicits the greatest life extension that a given organism knows how to exhibit is one that is encountered quite rarely in nature – just often enough to be worth knowing how to survive. Such famines would, therefore, be very unlikely to occur in two consecutive years, even if there is a modest correlation between a famine one year and a famine the next. This may at first seem at odds with the fact that the severity of CR used in typical mouse experiments must actually be quite common in nature, but that challenge fails to take into account the typical variability of nutrient availability during a long famine. Famines that are long and severe enough to elicit the organism’s maximal life extension response may not in fact be all that rare in terms of average severity measured over their entire duration, but most such famines may contain periods of substantially worse food shortage, sufficient to kill the organism quickly. Only famines that do not contain such periods are relevant to the selective pressure to survive. 7 However, it must be acknowledged that, even after taking the pattern of famine into account, a longerlived animal will have a greater chance of experiencing more famine in total and thus should be expected to survive longer – just that the ratio of the maximum absolute life extensions should be much closer to unity than the ratio of lifespans. This appears to be so for worms and mice, whose lifespans differ by a factor of about 50 but whose maximum observed life extensions differ by only a factor of three. Finally, we must consider the special case of equatorial environments, in which there are no seasons and the above logic appears inapplicable. Here there is still a difference in “clumpiness” between sub-year and multi-year availability of food, but only because there is an inherent inertia in that supply – vegetation can appear or disappear only so fast. (This weaker version of the hypothesis is similar to that presented by Harrison and Archer [21], though avoiding their reference to maximum reproductive lifespan.) Accordingly, in equatorial regions there may be more variability than in temperate regions in the maximal life extension elicited, as the absence of a season in which most vegetation disappears lets the correlation of abundance of vegetation remain higher on a multi-year timescale than in non-equatorial regions. This should, however, apply only to species that are restricted to equatorial regions: ones with gene flow between equatorial and temperate regions will experience the effect of seasons on the evolutionary pressure to retain life-extending capability of a given degree. Relation between severity of famine and life extension elicited The above considerations have perhaps been overlooked because of a clear cross-species relationship between CR and life extension that is indeed proportional to lifespan: namely, that lifelong CR of a given severity seems to elicit more or less the same proportional increase in life expectancy in a range of species, up to a threshold of severity that kills them (with the boundary between these two outcomes being quite a narrow range). The most effective degree of CR ever used in published mouse experiments, 53% reduction, gives about a 35% life extension [10], and it also does so in C. elegans [2]. How can this be reconciled with the non-proportionality discussed above? There is in fact no conflict between the two observations. The life extension machinery that is selected for development/retention by evolution is that which applies to the most severe famine frequent enough to be “worth” surviving, but we may expect a more muted expression of that same machinery to underpin the organism’s response to milder famines too, just as, for example, the human response to mild fear is a mild adrenalin release. The response of C. elegans to moderate starvation can thus be expected to be a milder version of its most sophisticated response, which is to near-total starvation. The same applies when comparing rodent data with that on longer-lived organisms (see below). The only CR experiment yet completed on a species that lives over a decade used only 25% CR and gave a life extension similar, as a proportion of lifespan, to that elicited by 25% CR in rodents. For most purposes it would be inappropriate to compare very different levels of CR in different species, but in the present context that is just what we must do, as we are concerned with the maximum life extension elicitable by any starvation-related method, and no CR-induced life extension of dogs by more than this has yet been reported. Finally it should be mentioned that rodents of different strains exhibit a wide range of degrees of life extension from the same degree of CR. Inbred mouse strains also vary considerably as to ad lib-fed lifespan, due to a wide variety of genetic defects, and those with shorter lifespans tend to benefit most from CR when life extension is measured as a proportion of lifespan. However, it would be dangerous to extend the present hypothesis to this situation, since CR’s effect on resistance to genetic defects may not be comparable to its effects on genetically healthier animals. Compatibility with experimental data The hypothesis outlined here might at first appear to be no more than statistical trickery, were it not for the striking accordance of its predictions with available data. Experimental justification mentioned so far for the minimal dependence of the maximum achievable absolute life extension on control lifespan has 8 been limited to the response to energy deprivation of wild-type mice and wild-type nematodes. However, it is much more general; indeed, no exceptions are apparent (a representative sample of published data is given in Table 1). I now examine the data in Table 1 in more detail, as well as addressing some examples not included there which might at first sight be considered counterexamples to the present hypothesis. The longest-lived species for which a life extension experiment using CR has been completed is the dog. Labrador retrievers were given a diet reduced by 25% in calories from the age of 8 weeks. Their maximum lifespan was about 14 months longer than that of control animals [11]. The authors of this study did not discuss why they chose a CR level of 25%, rather than the 40% more typical of rodent CR experiments; the hypothesis presented here predicts that a 40% CR regime would not extend the dogs’ lifespan further (and might be harmful). This study [11] was predated by 30 years by a report on life extension by CR in cows [12], which has been over-zealously summarised in some quarters and thus warrants comment. Pinney et al. compared cows fed 60%, 120% and 200% of the amount thought optimal from November to April each year and ad lib for the remaining months; also, each of these three groups was divided into two so as to examine the effect of age at first parturition. (It is presumed, but not stated in this paper, that the high-fed group ate all the food they were given during the winter.) The group fed the most and mated at the younger age happened to experience a high early mortality. This resulted in a difference in mean lifespan between that group and the early-parturition CR group of nearly four years, which if considered in isolation (as some have done) would appear to conflict severely with the hypothesis presented here. When the experiment is considered as a whole, however, and with the strenuous proviso that precise numbers are unavailable because the experiment was terminated when 18% of the animals were still alive (including 10% of the most-fed ones), it appears that the difference between the maximum lifespan (defined, as is customary, as mean lifespan of the longest-lived 10%) of the CR (i.e. 60% optimal) group and those of the other groups would probably have been no more than six months. Since the CR level imposed was too mild to impact fertility severely, we may extrapolate that perhaps a year of life extension could have been achieved if CR at the same level (40%) had been imposed year-round. However, it must be assiduously stressed that this study was far too incomplete to be robustly compared with modern work (in any species) and is noted here only in anticipation of overinterpretation of its findings in reaction to the present hypothesis. Mention must also be made of the ongoing studies of non-human primate CR, since interim results from these studies have led some to anticipate that they will demonstrate a multi-year life extension. There are several reasons to be cautious in such a conclusion at this time, and in particular to avoid regarding currently available data [30], which shows at least a five-year extension of median longevity in a group of eight Rhesus monkeys on CR, as refuting the hypothesis presented in this paper. First, as stressed above, we are interested here in maximum lifespan (currently unknown in the primate work), not mean or median lifespan. This does not limit the scope of the hypothesis: all evolutionary arguments ultimately revolve around the fittest subset of the population, since their descendants predominate in subsequent generations. Second, we must not forget that primate husbandry is in its relative infancy compared to rodent husbandry; mean lifespan extension induced by CR was larger in very early work than more recently [31], perhaps because inadequate husbandry was a mortality risk against which CR protected. This will be tested by the complete survival curves of control monkeys, since ideal husbandry should give a distribution well approximated by a Gompertz curve, rather than a Gompertz-Makeham one with a substantial age-independent mortality rate. Third, the maximum lifespan of model organisms may be a better indicator than the mean of the mean lifespan of humans given the same sort of treatment, as will be discussed below. The fruit fly, Drosophila melanogaster, has received much attention from gerontologists studying life extension for many years, especially since the landmark results of Rose and colleagues [27]. They eventually achieved a doubling of life expectancy by selection for late-age fecundity. More recently, several D. melanogaster mutants have been isolated that show a comparable life extension [32-35]. However, this is clearly much less than a year. Is this then an exception to the generalisation under 9 discussion? Not at all, because it is quite straightforward to increase flies’ lifespan by several months, by inducing a state known as diapause [7]. Diapause is the state in which many insects survive the winter. It somewhat resembles mammalian hibernation. This largely explains why it has been neglected by most gerontologists – the long-standing appreciation of the relationship between aging and metabolic rate has diverted attention from life extension phenomena that appear to be caused “merely” by low body temperature. However, as recently reviewed by Tatar [8], diapause is not in fact simply a low-temperature phenomenon. First, in some insects it occurs as a defence not against cold but against desiccation in the summer: grasshoppers are examples of this [9]. Second, it can occur in the absence of any environmental change whatever, but purely because of the animal’s life cycle. Prominent examples are Monarch butterflies, which live several times as long during migration as at other times of year despite a greatly elevated metabolic rate during migration and low food intake during overwintering [36]. Finally, mention must be made of certain very primitive species which are able to enter a state of such extreme metabolic suspension that they can survive more or less indefinitely. Sporulation in yeast and anhydrobiosis in rotifers are the best-known examples. Here the simplest explanation is that the way that evolution has found to extend the organism’s lifespan by the useful amount (several months) is to shut it down completely, so that no metabolic activity at all occurs until the suspension is reversed by external chemical cues. This is a response that would only be expected in extremely simple organisms, since complete but reversible cessation of metabolism is an operation whose complexity necessarily varies with that of the organism. Hence, it is reasonable not to regard the indefinite lifespan of organisms in such states as a meaningful challenge to the hypothesis presented here. The non-proportionality principle described thus far for wild-type animals should in theory apply equally to genetic or pharmacological interventions that modulate the genetic pathways underlying this starvation-inducible life extension. Is this confirmed experimentally? It appears so. In all the best-studied model organisms, interventions have been found that increase lifespan by a large proportion of the amount which natural environmental cues produce [35,37,38], but no such intervention has yet extended any organism's lifespan appreciably beyond that amount, except for C. elegans if the dauer state really does have a maximum survival of only three months (discussed above). Nor should we expect them to, since the same pathways are being modulated. (It is, however, a strong prediction of the present hypothesis that C. elegans dauer survival should at least approach six months under ideal conditions.) A challenge to the validity of the above assertion is that wild-type nematodes exhibit a 60% increase in lifespan resulting from ablation of the germ cells in adulthood [38], and when this surgery is done on already long-lived mutants the life extension is a factor of six [5]. This is a stage in the life cycle at which nutritional modulation of wild-type worms cannot elicit nearly so much life extension, since the dauer state cannot be entered. However, the genetic pathways triggered by this intervention resemble those that accompany entry into the dauer state [5,38]. Hence, though this is an important demonstration that something like the degree of life extension achievable in early life can also in principle be induced in adulthood (if the relevant gene expression can be artificially induced), it does not contradict the idea that modulation of endogenous genetic machinery related to the starvation response can usually confer several months’ extra life but cannot extend any organism’s lifespan by much more than a year. Implications for retarding human aging by modulating nutrient sensing A generalisation that holds across species ranging in lifespan from a few weeks to a decade seems very likely to extend to species living several decades. The argument presented here suggests, therefore, that humans are likely to have “forgotten” how to respond to nutrient deprivation by slowing their aging by as much as 30-40%, as mice can and our common ancestors probably also could. We may well have retained the residual ability to slow our aging enough to confer a couple of years of life extension, but the chance that we can obtain a decade or more is slim. 10 The focus in this article has been on maximum, rather than mean, lifespan. Surely, it may be argued, any intervention that can increase mean lifespan by delaying major life-threatening diseases must be urgently pursued, even if maximum lifespan is not increased appreciably? That is certainly true. However, the postponement of such diseases in humans has already been very substantial in the past century, leading to a considerable rise in life expectancy in the industrialised world, so we must ask whether additional measures, which might indeed delay the onset of such diseases [39], would also delay death from them. A major reason for caution here is that a number of recent studies have shown that the phenomenon of “rectangularisation” – broadly, the increase of mean lifespan faster than maximum lifespan – has ceased throughout the industrialised world [40]. In other words, we are now succeeding in extending mean lifespan only by means that also extend maximum lifespan; thus, an intervention that does not appreciably extend maximum lifespan is also unlikely to extend mean lifespan in humans, even if it does so in other animals. This is not to belittle the postponement of the onset of such diseases, by any means – only to guard against unsupported hopes with regard to lifespan. Additionally, it appears unlikely that pharmacological or genetic induction of the pathways induced by CR will everconfer appreciably greater life extension than starvation itself can in a given species. As noted above, the sole exception to this generalisation observed so far is the extension of C. elegans lifespan to twice what has been seen in the dauer response to starvation, and this may be due merely to a lack of attempts to maximise dauer longevity by varying certain experimental conditions, or to the possibility that dauers simply starve to death rather than aging. These points appear to have been overlooked by those who feel that manipulation of genetic pathways involved in nutrient sensing has sufficient biomedical potential to merit the founding of companies to develop such interventions for human use [41]. The goal of human life extension research is the extension of human healthy life expectancy by much more than a couple of years. If that is all that would result from taking a new drug for much of our life then we are palpably better advised to desist – thereby avoiding the necessarily unknown risk of long-term side-effects – and wait for something much more powerful to appear, whose greater efficacy outweighs its later availability. Indeed, some who are enthusiastic about near-term prospects for commercial success of drugs that modulate nutrient sensing and related pathways publicly base their optimism on the idea that such interventions may give us 10-20 years of extra life [42]. The logic presented in this article shows that there is no basis for such a belief: not only is there abundant data contradicting the “proportionality principle” upon which that belief is based, it should not even be considered the null hypothesis. Health benefits may indeed result from such drugs, however, [39] so it would be inappropriate to discourage their development; but realism as to what they will and will not be likely to achieve is desirable. Acknowledgements I am indebted to Jay Olshansky, Tom Perls and two anonymous reviewers, one of them exceptionally painstaking, whose comments substantially improved the manuscript. References 1. McCay CM, Crowell MF, Maynard LA: The effect of retarded growth upon the length of life span and upon the ultimate body size. J Nutr 1935;10:63-79. 2. Klass MR: Aging in the nematode Caenorhabditis elegans: major biological and environmental factors influencing life span. Mech Ageing Dev 1977;6:413-429. 3. Riddle DL, Swanson MM, Albert PS: Interacting genes in nematode dauer larva formation. Nature 1981;290:668-671. 4. Klass M, Hirsh D: Non-ageing developmental variant of Caenorhabditis elegans. Nature 1976;260:523-525. 11 5. Arantes-Oliveira N, Berman JR, Kenyon C: Healthy animals with extreme longevity. Science 2003;302:611. 6. Larsen PL, Clarke CF: Extension of life-span in Caenorhabditis elegans by a diet lacking coenzyme Q. Science 2002;295:120-123. 7. Lumme J, Oikarinen A, Lakovaara S, Alatalo R: The environmental regulation of adult diapause in Drosophila littoralis. J Insect Physiol 1974;20:2023-2033. 8. Tatar M, Yin C: Slow aging during insect reproductive diapause: why butterflies, grasshoppers and flies are like worms. Exp Gerontol 2001;36:723-738. 9. Uvarov B: Hibernation of active stages of Acridoidea in temperate climates. Atti Acad Gioenia Sci Nat 1966;6:175-189. 10. Weindruch R, Walford RL, Fligiel S, Guthrie D: The retardation of aging in mice by dietary restriction: longevity, cancer, immunity and lifetime energy intake. J Nutr 1986;116:641-654. 11. Kealy RD, Lawler DF, Ballam JM, Mantz SL, Biery DN, Greeley EH, Lust G, Segre M, Smith GK, Stowe HD: Effects of diet restriction on life span and age-related changes in dogs. J Am Vet Med Assoc 2002;220:1315-1320. 12. Pinney DO, Stephens DF, Pope LS. Lifetime effects of winter supplemental feed level and age at first parturition on range beef cows. J Anim Sci 1972;34:1067-1077. 13. Weismann A: Essays upon heredity and kindred biological problems, 2nd ed., vol. 1. Oxford, Clarendon Press, 1891. 14. Medawar PB: An unsolved problem in biology. London, H.K. Lewis, 1952. 15. Williams GC: Pleiotropy, natural selection and the evolution of senescence. Evolution 1957;11:398411. 16. Edney EB, Gill RW: Evolution of senescence and specific longevity. Nature 1967;220:281-282. 17. Austad SN: Retarded senescence in an insular population of Virginia opossums (Didelphis virginiana). J Zool 1993;229:695-708. 18. Kirkwood TBL: Evolution of ageing. Nature 1977;270:301-304. 19. Karahalil B, Hogue BA, de Souza-Pinto NC, Bohr VA: Base excision repair capacity in mitochondria and nuclei: tissue-specific variations. FASEB J 2002;16:1895-1902. 20. Motta MC, Divecha N, Lemieux M, Kamel C, Chen D, Gu W, Bultsma Y, McBurney M, Guarente L: Mammalian SIRT1 represses forkhead transcription factors. Cell 2004;116:551-563. 21. Harrison DE, Archer JR: Natural selection for extended longevity from food restriction. Growth Dev Aging 1988;52:65. 22. Holliday R: Food, reproduction and longevity: is the extended lifespan of calorie-restricted animals an evolutionary adaptation? BioEssays 1989;10:125-127. 23. Bauer M, Hamm AC, Bonaus M, Jacob A, Jaekel J, Schorle H, Pankratz MJ, Katzenberger JD: Starvation response in mouse liver shows strong correlation with lifespan prolonging processes. Physiol Genomics 2004;17:230-244. 24. Westendorp RG: Leiden research program on ageing. Exp Gerontol 2002;37:609-614. 25. Westendorp RG, van Dunne FM, Kirkwood TB, Helmerhorst FM, Huizinga TW: Optimizing human fertility and survival. Nat Med 2001;7:873. 26. Lio D, Scola L, Crivello A, Colonna-Romano G, Candore G, Bonafe M, Cavallone L, Marchegiani F, Olivieri F, Franceschi C, Caruso C: Inflammation, genetics, and longevity: further studies on the 12 protective effects in men of IL-10 -1082 promoter SNP and its interaction with TNF-alpha -308 promoter SNP. J Med Genet 2003;40:296-299. 27. Rose MR: Laboratory evolution of postponed senescence in Drosophila melanogaster. Evolution 1984;38:1004-1010. 28. Crespi BJ, Teo R: Comparative phylogenetic analysis of the evolution of semelparity and life history in salmonid fishes. Evolution Int J Org Evolution 2002;56:1008-1020. 29. Holliday R: Understanding Ageing. Cambridge, Cambridge University Press, 1995. 30. Bodkin NL, Alexander TM, Ortmeyer HK, Johnson E, Hansen BC: Mortality and morbidity in laboratory-maintained Rhesus monkeys and effects of long-term dietary restriction. J Gerontol A Biol Sci Med Sci 2003;58:212-219. 31. Masoro EJ: Subfield history: caloric restriction, slowing aging, and extending life. Sci Aging Knowledge Environ 2003;2003(8):RE2. 32. Lin YJ, Seroude L, Benzer S: Extended life-span and stress resistance in the Drosophila mutant methuselah. Science 1998;282:943-946. 33. Rogina B, Reenan RA, Nilsen SP, Helfand SL: Extended life-span conferred by cotransporter gene mutations in Drosophila. Science 2000;290:2137-2140. 34. Clancy DJ, Gems D, Harshman LG, Oldham S, Stocker H, Hafen E, Leevers SJ, Partridge L: Extension of life-span by loss of CHICO, a Drosophila insulin receptor substrate protein. Science 2001;292:104-106. 35. Tatar M, Kopelman A, Epstein D, Tu MP, Yin CM, Garofalo RS: A mutant Drosophila insulin receptor homolog that extends life-span and impairs neuroendocrine function. Science 2001;292:107110. 36. Herman WS, Tatar M: Juvenile hormone regulation of longevity in the migratory monarch butterfly. Proc R Soc Lond B Biol Sci 2001;268:2509-2514. 37. Bartke A, Coschigano K, Kopchick J, Chandrashekar V, Mattison J, Kinney B, Hauck S: Genes that prolong life: relationships of growth hormone and growth to aging and life span. J Gerontol A Biol Sci Med Sci 2001;56:B340-B349 38. Hsin H, Kenyon C: Signals from the reproductive system regulate the lifespan of C. elegans. Nature 1999;399:362-366. 39. Fontana L, Meyer TE, Klein S, Holloszy JO. Long-term calorie restriction is highly effective in reducing the risk for atherosclerosis in humans. Proc Natl Acad Sci U S A. 2004;101:6659-6663. 40. Yashin AI, Begun AS, Boiko SI, Ukraintseva SV, Oeppen J. The new trends in survival improvement require a revision of traditional gerontological concepts. Exp Gerontol. 2001 Dec;37(1):157-67. 41. Stuart M: The Genomics of Longevity. Windhover's Review of Emerging Medical Ventures 2003;8:22. 42. Guarente L: Ageless Quest. New York, Cold Spring Harbor Laboratory Press, 2003.
© Copyright 2024