Autophagy, the main lysosomal degradative machinery, plays a major role in
maintaining cellular homeostasis and thus a healthy state in an organism. This
process recycles unnecessary or damaged material, therefore, not only providing
nutrients to maintain vital cellular functions in times of starvation but also
eliminating potentially harmful cellular material 1. Importantly, the autophagic rate declines with increasing age 23,
suggesting a functional correlation between aging and autophagy. Indeed, the
deregulation of autophagy is involved in the onset of various age-related diseases
such as cancer, cardiomyopathy, type II diabetes, and neurodegeneration 4. Until recently, aging was regarded as an
unregulated and inescapable consequence of the accumulation of incidental damage in
macromolecules and/or organelles. However, the discovery of multiple ways to extend
the lifespan in a variety of different model organisms, e.g., by genetic and
pharmacological means, developed the formulation of alternative aging theories that
consider aging as a molecular program 5.
Indeed, the last years have provided important insights into the networks that
control aging and have thus highlighted the interconnected nature of aging and
various cellular processes. For instance, the process of aging is intimately coupled
to metabolic processes 6, in particular to
energy metabolism and nutrient availability. Nevertheless, specific metabolites that
affect aging and autophagy remain poorly described.
NUTRIENT AVAILABILITY CONTROLS AUTOPHAGY AND AGING VIA ENERGY METABOLITES
As sensors of the current environmental status, nutrient signaling pathways represent
central aging regulators. For instance, individual interventions in the
insulin/insulin-like growth factor 1 (IGF-1), Ras, protein kinase A (PKA), target of
rapamycin (Tor), or protein kinase B (SCH9/Akt) pathways have been shown to extend
lifespan in various organisms, including mammals 789. Caloric restriction (CR) requires autophagy for lifespan extension
101112 and CR-mediated autophagy
induction follows molecular pathways that are shared with those known to affect
aging, such as Tor, SCH9/Akt, or IGF-1 13.
Furthermore, the AMP-activated protein kinase (AMPK) serves as a metabolic radar
sensing changes in the AMP/ATP ratio and is conserved in the majority of eukaryotic
species, and has also been established as a checkpoint for growth control and
autophagy regulation 14. Consistently,
several studies have revealed a connection between the AMP/ATP ratio, autophagic
flux rates, senescence, and disease 1516. Noteworthy, early studies on rat
hepatocytes also suggested that the execution of autophagy depends on energy
availability since inhibition of ATP production stalls autophagic flux 17. Other pivotal energy sources like butyrate,
an essential energy component in the colon, and second messengers such as cAMP,
which might also be implicated in Ras/PKA-mediated lifespan modulation in various
organisms, were identified as potential autophagy mediators 1819. This argues for a
decisive function of nutrient signaling and energy metabolites during aging and its
associated processes.
FIGURE 1: Different metabolites converge on pathways that regulate
autophagy and aging.
Dietary nutrients like glucose, amino acids and fatty acids as well as growth
signaling by IGF-1 activate nutrient-sensing kinases, like the target of
rapamycin complex 1 (TORC1), which stalls autophagy via phosphorylation of
downstream targets. Furthermore, autophagy is negatively regulated by the
Ras/PKA pathway, which responds to nutrient availability by sensing
intracellular cAMP levels. The cellular energy status is reflected by the
ATP/AMP ratio, which is sensed by the autophagy activator AMPK. Methionine
downregulates autophagy during aging in a yet to be elucidated fashion. The
central energy intermediate acetyl-CoA integrates metabolites from
glycolysis, β-oxidation or respiration and fuels acetylation of proteins
such as histones, resulting in decreased autophagic flux. All these
autophagy-limiting metabolic pathways have been linked to an accelerated
aging phenotype. In contrast, polyamines, like spermidine, reduce protein
acetylation, thereby promoting autophagy and longevity. Potential crosstalks
between protein acetylation and nutrient sensing kinase signaling are yet to
be elucidated. GLUT-4, glucose transporter 4; IGFR, IGF-1 receptor; Ac,
acetyl-group; amino acids are indicated by three-letter code.
THE ENERGY METABOLITE ACETYL-CoA SUPPRESSES AUTOPHAGY VIA PROTEIN
ACETYLATION
In the yeast S cerevisiae, glucose is the preferred carbon source
for fueling energy metabolism and its fermentation produces acetate and ethanol that
is used for subsequent respiration after the diauxic shift. Both intermediates are
released into the medium and have been attributed a role in limiting yeast
chronological life span 20, but considered a
pro-aging factor specific for yeast 21.
However, acetate is an important metabolite that is involved in central processes
such as acetyl-Coenzyme A (acetyl-CoA) production. Thus, its metabolic fate rather
than a simply extracellular toxicity may (at least in part) be responsible for its
impact on lifespan. Consequently, acetate metabolism may also contribute to aging in
higher eukaryotes, possibly via its impact on protein acetylation through acetyl-CoA
generation and subsequent control of cellular function. Energy metabolites that can
derive in the production of acetyl-CoA, such as citrate, pyruvate and fatty acids,
were shown to be deregulated in senescence-accelerated mice 22. We could recently show that (nucleo-)cytosolic acetyl-CoA,
in fact, serves as a modulator of longevity, suppressing starvation and
age-associated autophagy in a variety of phyla 2324. This function might be due
to the fact that acetyl-CoA is the only donor for acetylation reactions and both,
protein acetylation and epigenetic chromatin modifications, have repeatedly been
linked to the regulation of aging and autophagy 232526. For instance, the highly conserved protein family of
NAD+-dependent histone deacetylases and ADP ribosylases (sirtuins) has been
connected to aging modulation 2728 and lifespan extension upon CR 29. Activation of histone deacetylases, such as
sirtuins, has therefore been extensively studied for its capability to combat aging
or age-associated pathologies. Interestingly, the lifespan-extending effects of
sirtuin activation by CR or pharmacological interventions depend on the induction of
autophagy 11. The dependency on NAD+ as a
cofactor and the tight connections between sirtuins, longevity and autophagy
induction have led to the hypothesis that sirtuins act as metabolic sensors that
promote mitochondrial maintenance 30.
Notably, nicotinamide metabolism has become an intensively investigated target for
drug discovery against a variety of human diseases, including age-associated
pathologies such as cancer or neurodegeneration 31.
POLYAMINE METABOLISM LEAVES A REGULATORY FINGERPRINT AT HISTONE MODIFICATION
SITES
The levels of polyamines, a class of ubiquitously occurring small basic polycations,
decline with progressing age in various organisms, including humans 32, yeast 25 and plants 33. Intriguingly,
external application of a specific polyamine (spermidine) counteracts cell death
during aging and improves the lifespan of yeast, flies, worms, and human immune
cells in an autophagy-dependent manner 25.
Furthermore, it causes a reduction of oxidative stress in mice. In addition, more
recent studies also suggest longevity-promoting effects in mammals 34. Importantly, spermidine treatment appears
to be associated with both histone hypoacetylation caused by inhibition of histone
acetyl transferases 25 and deacetylation of
cytosolic proteins 35. However, it has also
been hypothesized that polyamines influence histone acetylation in dependence of the
histones’ own acetylation status 36 and
massive polyamine catabolism has even been shown to deplete the acetylation
co-factor acetyl-CoA 37. Possibly, the
involvement of spermidine in the biosynthesis of the methyl-group donorS-adenosyl-methionine (SAM) 38 could also
culminate in regulatory methylation reactions, such as chromatin silencing. Thus,
polyamines may influence chromatin structure and protein acetylation via multiple
mechanisms. Given the aforementioned contribution of acetyl-CoA to aging and
autophagy modulation, it is tempting to speculate that spermidine functions include
a down-titration of the intracellular acetyl-CoA pool and thus a rearrangement of
the metabolic state.
SPECIFIC AMINO ACID STARVATION INDUCES AUTOPHAGY AND PROLONGS LIFESPAN
In line with the vast importance of nutrient signaling during aging, amino acid
metabolism has an important impact on eukaryotic aging and its related diseases. The
levels of specific amino acids like tryptophane, methionine, arginine, or leucine
has often been suggested to (positively or negatively) influence the autophagy
pathway and impact aging in different eukaryotes 39404142. Indeed, we could
recently demonstrate that limitation of the amino acid methionine enhances yeast
chronological lifespan. Intriguingly, this lifespan extension requires
autophagy-dependent vacuolar acidification 43. In the same line, vacuolar acidification also elongates replicative
lifespan of yeast, where it protects mitochondria most probably via an improvement
of the vacuolar amino acid storage function 44. In yeast, serine, threonine and valine promote cellular senescence
probably via activation of the Sch9/TOR pathway and subsequent inhibition of the
protein kinase Rim15p, which guides anti-aging stress response pathways 45. Altogether, these examples suggest that the
intake or limitation of specific amino acids is a determining factor during aging,
though the mechanistic specificities are expected to be complexly regulated,
especially at the organismal level.
CONCLUSION
A variety of potential metabolic controllers of autophagy and health span have
already been proposed. However, precise strategies to target the correlating
pathways (e.g., by nutrition patterns) remain to be elucidated in more detail. For
example, it would be of great interest to determine if special diets that include
the limitation of (defined) amino acids or the uptake of certain polyamines, like
spermidine, influence the metabolism towards improved cellular conditions during
aging. It also remains elusive how certain diets may affect the microbiome and in
turn impact the levels of certain metabolites that have been shown to regulate
cellular fitness, such as citrate, pyruvate, butyrate, or acetate. The investigation
of metabolites as powerful rheostats in aging and autophagy is supported by the
improvement of technologies that have opened up new possibilities to detect and
trace even small molecules in vitro and in vivo.
This might bring up metabolomics as a future trend for aging analyses 46. Hopefully, the findings on the impact of
metabolism on aging will culminate in amended dietary guidelines that would make
eating the tastiest of all medicines.
Authors: Didac Carmona-Gutierrez; Maria Anna Bauer; Andreas Zimmermann; Andrés Aguilera; Nicanor Austriaco; Kathryn Ayscough; Rena Balzan; Shoshana Bar-Nun; Antonio Barrientos; Peter Belenky; Marc Blondel; Ralf J Braun; Michael Breitenbach; William C Burhans; Sabrina Büttner; Duccio Cavalieri; Michael Chang; Katrina F Cooper; Manuela Côrte-Real; Vítor Costa; Christophe Cullin; Ian Dawes; Jörn Dengjel; Martin B Dickman; Tobias Eisenberg; Birthe Fahrenkrog; Nicolas Fasel; Kai-Uwe Fröhlich; Ali Gargouri; Sergio Giannattasio; Paola Goffrini; Campbell W Gourlay; Chris M Grant; Michael T Greenwood; Nicoletta Guaragnella; Thomas Heger; Jürgen Heinisch; Eva Herker; Johannes M Herrmann; Sebastian Hofer; Antonio Jiménez-Ruiz; Helmut Jungwirth; Katharina Kainz; Dimitrios P Kontoyiannis; Paula Ludovico; Stéphen Manon; Enzo Martegani; Cristina Mazzoni; Lynn A Megeney; Chris Meisinger; Jens Nielsen; Thomas Nyström; Heinz D Osiewacz; Tiago F Outeiro; Hay-Oak Park; Tobias Pendl; Dina Petranovic; Stephane Picot; Peter Polčic; Ted Powers; Mark Ramsdale; Mark Rinnerthaler; Patrick Rockenfeller; Christoph Ruckenstuhl; Raffael Schaffrath; Maria Segovia; Fedor F Severin; Amir Sharon; Stephan J Sigrist; Cornelia Sommer-Ruck; Maria João Sousa; Johan M Thevelein; Karin Thevissen; Vladimir Titorenko; Michel B Toledano; Mick Tuite; F-Nora Vögtle; Benedikt Westermann; Joris Winderickx; Silke Wissing; Stefan Wölfl; Zhaojie J Zhang; Richard Y Zhao; Bing Zhou; Lorenzo Galluzzi; Guido Kroemer; Frank Madeo Journal: Microb Cell Date: 2018-01-01
Authors: Angelina S Gross; Andreas Zimmermann; Tobias Pendl; Sabrina Schroeder; Hannes Schoenlechner; Oskar Knittelfelder; Laura Lamplmayr; Ana Santiso; Andreas Aufschnaiter; Daniel Waltenstorfer; Sandra Ortonobes Lara; Sarah Stryeck; Christina Kast; Christoph Ruckenstuhl; Sebastian J Hofer; Birgit Michelitsch; Martina Woelflingseder; Rolf Müller; Didac Carmona-Gutierrez; Tobias Madl; Sabrina Büttner; Kai-Uwe Fröhlich; Andrej Shevchenko; Tobias Eisenberg Journal: J Biol Chem Date: 2019-06-17 Impact factor: 5.157
Authors: Jin Kyeong Kim; Kon Kuk Shin; Haeyeop Kim; Yo Han Hong; Wooram Choi; Yi-Seong Kwak; Chang-Kyun Han; Sun Hee Hyun; Jae Youl Cho Journal: J Ginseng Res Date: 2021-04-06 Impact factor: 6.060
Authors: Andreas Zimmermann; Katharina Kainz; Aleksandra Andryushkova; Sebastian Hofer; Frank Madeo; Didac Carmona-Gutierrez Journal: Microb Cell Date: 2016-12-05