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. 2015 Dec 1;18(6):573–580. doi: 10.1089/rej.2015.1774

Healthspan Pharmacology

Mahtab Jafari 1,
PMCID: PMC4685493  PMID: 26444965

Abstract

The main goal of this paper is to present the case for shifting the focus of research on aging and anti-aging from lifespan pharmacology to what I like to call healthspan pharmacology, in which the desired outcome is the extension of healthy years of life rather than lifespan alone. Lifespan could be influenced by both genetic and epigenetic factors, but a long lifespan may not be a good indicator of an optimal healthspan. Without improving healthspan, prolonging longevity would have enormous negative socioeconomic outcomes for humans. Therefore, the goal of aging and anti-aging research should be to add healthy years to life and not merely to increase the chronological age. This article summarizes and compares two categories of pharmacologically induced lifespan extension studies in animal model systems from the last two decades—those reporting the effects of pharmacological interventions on lifespan extension alone versus others that include their effects on both lifespan and healthspan in the analysis. The conclusion is that the extrapolation of pharmacological results from animal studies to humans is likely to be more relevant when both lifespan and healthspan extension properties of pharmacological intervention are taken into account.

Introduction

Aging is a complex and multi-factorial process that is not well defined. The majority of evolutionary biologists, like Michael Rose, characterize aging as a decline or loss of adaptation with increasing age, caused by a time-progressive decline of William D. Hamilton's forces of natural selection.1 Although there are a number of variants of this definition, we can all agree that as we age, we will experience a progressive accumulation of cellular damage and a degradation of repair and maintenance mechanisms, leading to a gradual deterioration of physiological functions. This process, which is highly conserved across species throughout evolution, creates progressive dysfunction associated with frailty and age-related diseases and eventually leads to the death of the organism.

Over recent decades, improvements in medical diagnostics and procedures, as well as improvements in hygiene, have resulted in a steady increase in human lifespan,2–10 but this increase has unfortunately been accompanied by ever-growing occurrences of diseases of aging, such as diabetes, neurodegenerative diseases, cancer, and cardiovascular diseases.11 Therefore, understanding the mechanisms of aging, defining the most important risk factors for the development of chronic diseases of aging, and identifying pharmacological interventions to ameliorate the aging process are more important today than ever. Over the last two decades, using several model systems, such as yeast, fruit flies, worms, and mice, numerous evolutionarily conserved pathways that regulate longevity have been identified, and the modification of these pathways either intrinsically (e.g., genetic modifications for deletion, down-regulation or over-expression) or extrinsically (e.g., environmental factors, use of pharmacological agents) have been shown to extend the lifespan of the model organisms.12–30

Most of pharmacological intervention studies have focused on lifespan extension of animals, but very little attention has been given to the aspect of pharmacologically induced healthspan extension, which I refer to as healthspan pharmacology. Clearly, this omission is a serious one if results from animal studies are to be relevant to humans, many of whom consider their quality of life with advancing age to be just as important as their longevity. There appears to be an emergence of assays in animal models to evaluate healthspan. One of the tests that can be used to evaluate age-related changes in mice, in an effort to quantify the impact of pharmacological interventions on healthspan, is the frailty index (FI), also known as the index of cumulative deficits.31,32 A recent study with the goal of evaluating the utility of FI as a tool to evaluate the impact of caloric restriction and resveratrol on healthspan showed that these interventions reduced FI.33 There is no obvious reason that this tool could not be used to quantify the effect of other pharmacological interventions on healthspan in animal model studies with the goal of extrapolating the results to humans.

The pharmacological agents that are known to extend lifespan in animal studies appear to act mainly through anti-oxidant defense, protein homeostasis, dietary restriction (DR) modulation, inhibition of kinases, or modulation of insulin/insulin-like growth factor (IGF) signaling. Among numerous agents that have been tested using multiple model systems over the last two decades, the spectrum includes anti-depressants (e.g., mianserin), anti-convulsants (e.g., valproic acid, lamotrigine), anti-diabetics (e.g., metformin), immunosuppressants (e.g., rapamycin), and natural products (e.g., resveratrol, Rhodiola rosea, curcumin, green tea, blueberry). The mechanism of action and the extent of lifespan extension vary among each agent (Table 1), and most can be classified under the aforementioned groups. In addition to the widely known pharmacological interventions that prolong lifespan (e.g., resveratrol, Rhodiola rosea, rapamycin, metformin) across species, high-throughput chemical screening approaches have been used to identify new candidate molecules that extend lifespan in Caenorhabditis elegans and Drosophila melanogaster model systems.14,34–40 With the convenience of C. elegans and Drosophila as platforms to discover new lifespan–extending compounds, it is inevitable that the number of identified anti-aging compounds that extend lifespan will continue to increase dramatically.

Table 1.

Studies Focusing on Lifespan Pharmacology Only

Intervention Model organism Mean lifespan extension Mechanism of action
α-ketoglutarate
Chin et al., 201447
C. elegans 50% Inhibition of ATP synthase and TOR signaling
Alpinia zerumbet Extract
Upadhyay et al., 201348
C. elegans 23% Anti-oxidant
Aspirin
Strong et al., 200849
Mice 8% (male) Anti-oxidant, anti-inflammatory
β-Guanidinopropionic acid
Yang et al., 201550
D. melanogaster Increase in mean lifespan Activation of AMP-activated protein kinase, autophagy
Black tea
Peng et al., 200951
D. melanogaster 9.8% Anti-oxidant
Blueberry extract
Wilson et al., 200652
C. elegans 28% Anti-oxidant
Blueberry extract
Peng et al., 201253
D. melanogaster 10% Anti-oxidant
Caffeic acid phenethylester
Havermann et al., 201454
C. elegans 9–17% Modulation of the insulin-like DAF-16 signaling
Chicoric acid
Schlernitzauer et al., 201355
C. elegans Increase in mean lifespan Activation of AMP-kinase
Cinnamon
Yu et al., 201056
C. elegans 12% Regulation of Insulin/IGF-1 signaling
CoQ-10
Ishii et al., 200457
C. elegans 6–18% Anti-oxidant
Diallyl trisulfide (garlic)
Powolny et al., 201158
C. elegans 12–13% Activation of SKN-1
Ethosuximide
Collins et al., 200859
C. elegans 17% Regulation of chemosensation
EUK-8/ EUK-134
Melov et al., 200060
C. elegans 44% Anti-oxidant
Ginko biloba
Wu et al., 200261
C. elegans 8% Anti-oxidant
Glaucarubinone
Zarse et al., 201162
C. elegans Increase in mean lifespan Induction of mitochondrial activity
Green tea
Li et al., 200763
D. melanogaster 16–19% Inhibition of iron accumulation, anti-oxidant
L-Theanine
Zarse et al., 201264
C. elegans Increase in mean lifespan Anti-oxidant
Lipoic Acid
Benedetti et al., 200865
C. elegans 21% Anti-oxidant
Lithium
McColl et al., 200866
C. elegans 46% Modulation of histone methylation and chromatin structure
Lonidamine
Schmeisser et al., 201167
C. elegans 8% Anti-oxidant
Mainserin
Petrascheck et al., 200768
C. elegans 31% Activation of DR metabolism
Metformin
Anisimov et al., 200869
Mice 38% Activation of DR metabolism, oxidative stress
Metoprolol
Spindler et al., 201370
Mice 10% Inhibition of β-AR signaling
Myriocin
Cutler et al., 201471
C. elegans 24% Decrease of ceramides
N-acetylcysteine
Brack et al., 199725
D. melanogaster 27% Differential gene expression
Natto extract
Ibe et al., 201372
C. elegans 16% Anti-oxidant
Oxaloacetic acid
Williams et al., 200973
C. elegans 25% Regulation of FOXO/DAF-16
Propyl gallate
Benedetti et al., 200865
C. elegans 12% Anti-oxidant
Pyrrolidine dithiocarbamate (PDTC)
Moskalev & Shaposhnikov 201174
D. melanogaster 20% Inhibition of NF-κB
Quercetin
Kampkotter et al., 200875
C. elegans 15% Anti-oxidant
Rapamycin
Harrison et al., 200920
Mice 9–14% Inhibition of the mTOR pathway
Resveratrol
Howitz et al., 200312
S. cerevisiae 70% Activation of NAD+ dependent protein deacetylases of the sirtuins
Resveratrol
Viswanathan et al., 200576
C. elegans 10–14%  
Rhodiola rosea
Bayliak & Lushchak 201177
S. cerevisiae 25% Sensitization to oxidative stress
Rhodiola rosea
Wiegant et al., 200978
C. elegans 10–20% Increased stress resistance
Rifampicin
Golegaonkar et al., 201579
C. elegans 60% Activation of DAF-16
Spermidine
Eisenberg et al., 200980
C. elegans 15% Autophagy
  D. melanogaster 30%  
Thioflavin T
Alavez et al., 201181
Tullet et al., 200882
C. elegans 60% Inhibition of SKN-1
Tocotrienols
Adachi et al., 200083
C. elegans 17% Anti-oxidant
Trolox
Benedetti et al., 200865
C. elegans 31% Anti-oxidant
Vitamin E
Harrington & Harley 198884
C. elegans 17–23% Anti-oxidant

Although the end point of prolonged longevity is clear (i.e., the death of the organism), the physiological mechanisms of extending lifespan via anti-aging interventions have been elusive. The implicit assumption that increasing the mean lifespan of a model organism not only delays aging but also the onset of the age-related physiological effects is unsupported and should be re-evaluated to include measurements of health parameters to determine if an intervention has the potential to add healthy years to the life of the model organism and eventually to humans. Even though a given intervention may extend the lifespan of the organism, if it decreases overall health, it should not be tested in a clinical study to evaluate its potential for human life prolongation, which is the ultimate goal of the longevity research.

The list of studies reporting lifespan extension via pharmacological agents (Table 1) is rather extensive compared to studies where healthspan was also taken into consideration (Table 2). There is no doubt that it is important to identify anti-aging compounds because, aside from their impact on lifespan, they will assist us in elucidating molecular pathways that may impact aging as outlined in Table 1. However, evaluating the impact of such compounds on healthspan is just as important as knowing their impact on lifespan.

Table 2.

Studies Focusing on Both Lifespan and Healthspan Pharmacology

Intervention Model organism Mean lifespan extension Healthspan parameters Mechanism of action
4-phenylbutyrate (PBA)
Kang et al., 200285
D. melanogaster 33% Locomotion, reproduction Increased histone acetylation
Caffeine
Sutphin et al., 201286
C. elegans 37% Locomotion Regulation of Insulin/IGF-1 signaling
Catechin
Saul et al., 200987
C. elegans 12–14% Reproduction, pharyngeal pumping Stress resistance
Celecoxib
Ching et al., 201188
C. elegans 20% Locomotion Inhibition of PDK-1
Cinnamon
Schriner et al., 201489
D. melanogaster 12–24% Reproduction, locomotion Regulation of Insulin/IGF-1 signaling
Curcumin
Alavez et al., 201181
C. elegans 45% Locomotion Activation of HSF-1 and SKN-1
Curcumin
Lee et al., 201090
D. melanogaster 16–19% Reproduction, locomotion  
Dichloroacetate
Schaffer et al., 201191
C. elegans Increase in mean lifespan Locomotion Inhibition of pyruvate dehy-drogenase kinase
Ethosuximide
Evason et al., 200592
C. elegans 17% Reproduction, locomotion, pharyngeal pumping Regulation of chemosensation
Green tea
Lopez et al., 201493
D. melanogaster 16–19% Reproduction Inhibition of iron accumulation, anti-oxidant
Icariin & Icariside II
Cai et al., 201194
C. elegans 21% Locomotion Regulation of Insulin/IGF-1 signaling
Lamotrigine
Avanesian et al., 201045
D. melanogaster 12–17% Locomotion Metabolic rate depression
Metformin
Onken & Driscoll, 201044
C. elegans 40% Locomotion Activation of DR metabolism, oxidative stress
Metformin
Anisimov et al., 200869
Mice 38% Estrus, metabolic parameters  
Metoprolol
Spindler et al., 201370
D. melanogaster 23% Locomotion Inhibition of β-AR signaling
Nordihydroguaiaretic acid (NDGA)
Harrison et al., 201495
Mice 12% Metabolic markers Anti-oxidant, anti-inflammatory
Quercetin
Pietsch et al., 200996
C. elegans 15% Reproduction Anti-oxidant
Rapamycin
Bjedov et al., 201097
D. melanogaster Increase in mean lifespan Reproduction Inhibition of the TOR pathway
Rapamycin
Zhang et al., 201398
Mice Decrease in mortality
Locomotion, reduced sleep fragmentation Inhibition of the mTOR pathway
Rhodiola rosea
Schriner et al., 200999 201328
D. melanogaster 24% Reproduction, locomotion Decrease in endogenous superoxide levels, DR-Independent lifespan extension
Rosa damascena
Jafari et al., 2008100
Schriner et al., 2012101
D. melanogaster 16% (males) Reproduction Heat shock proteins
Reserpine
Srivastava et al., 2008102
C. elegans 31–64% Locomotion, pharyngeal pumping Increased stress tolerance
Resveratrol
Wood et al., 2004103
C. elegans 10–14% Reproduction, pharyngeal pumping Activation of NAD+ dependent protein deacetylases of the sirtuins
  D. melanogaster 29% Reproduction  
Resveratrol
Baur et al., 2006104
Mice 31% reduction in the risk of death from a high-calorie diet Organ pathology  
Trehalose
Honda et al., 2010105
C. elegans 30% Reproduction, pharyngeal pumping Reduced Insulin/IGF-1 signaling
Trimethadione
Evason et al., 200592
C. elegans 47% Reproduction, locomotion, pharyngeal pumping Regulation of neural activity
Valproic acid
Evason et al., 2008106
C. elegans 35% Reproduction, locomotion Regulation of Insulin/IGF-1 signaling

The reason for this assertion is rather subtle. Although lifespan and healthspan have been thought to be highly correlated, recent reports indicate that they may not be as closely linked as previously thought. A recent study that uncoupled lifespan and healthspan in C. elegans by examining wild-type and four long-lived mutants provided evidence that in a number of cases, where lifespan was extended, the health of the worms suffered drastically.41 Given that life expectancy has been on the rise for humans, further extending lifespan alone without improving healthspan will have significant adverse outcomes, such as unmanageable health care costs due to declined quality of life and increased incidence of age-related diseases, which further underscores the importance of studying healthspan as opposed to just lifespan.

Healthspan Pharmacology

Despite the necessity of evaluating healthspan in the context of lifespan, a comprehensive definition of healthspan in the laboratory requires an all-inclusive approach defining and evaluating a number of physiological parameters that contribute to the state of health. Describing measurable parameters to determine healthspan is more challenging compared to lifespan, which is simply measured by the mean and maximum life expectancy of the organism. A few parameters for healthspan have been utilized for invertebrates model systems. For instance, movement and feeding behaviors have been used as healthspan markers for C. elegans,41–44 whereas locomotion and reproduction serve as the indicators of health for D. melanogaster.45 Not surprisingly, when it comes to a mammalian model system, such as mice, the definition of healthspan parameters becomes more complex. Even though there are a number of validated tests that measure behavior, locomotion, cognition, and metabolism in young mice, there is no uniform set of tests to measure healthspan in aging mice. A recent perspective article 46 put forward several recommendations for measuring healthspan in mice in an effort to provide a unified method of focusing on healthspan in aging research. Perhaps the FI that measures cumulative deficits in mice can also be incorporated to quantify the impact of pharmacological interventions on healthspan. Given the challenge of reproducibility of a specified connection between a compound and lifespan extension among different laboratories around the world, correlating the effects of pharmacological interventions with healthspan will be even more challenging.

In conclusion, to extrapolate the result of any potential anti-aging pharmacological agent from the laboratory model systems to humans, evaluation of healthspan absolutely needs to be part of the equation. This is why we now need to shift the focus of the scientific community studying aging and anti-aging from lifespan pharmacology to healthspan pharmacology.

Author Disclosure Statement

No competing financial interests exist.

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