Protein Restriction and Longevity: What the Science Actually Shows
Protein quantity and source are among the most powerful nutritional levers for modulating the biology of aging.
High animal protein intake in midlife is associated with a 75% increase in overall mortality and a four-fold increase in cancer mortality, effects largely abolished when protein comes from plants.
The mTOR pathway links dietary amino acids to lifespan: chronic overstimulation suppresses autophagy, accelerates cellular senescence, and drives inflammaging.
The optimal protein strategy reverses after age 65, when sarcopenia risk outweighs mTOR suppression benefits and higher intake becomes protective.
Protein source matters as much as quantity: plant proteins are lower in leucine and methionine, the amino acids most directly linked to mTOR activation and shortened lifespan.
Periodic protein restriction may capture longevity benefits without chronic catabolic risk by transiently activating autophagy during low-protein cycles.
Protein restriction works through the same biological pathways as rapamycin and metformin, making diet and pharmacology complementary tools in a longevity framework.
For decades, high protein intake was synonymous with optimal health: build muscle, stay lean, live well. That consensus is now being interrogated at the molecular level, and the results are more nuanced than either camp would prefer. A growing body of research suggests that dietary protein, specifically the quantity and source consumed across different life stages, is one of the most powerful nutritional levers available for modulating the biology of aging. The case for protein restriction in longevity is not a case against protein. It is a case for precision.
The central mechanism linking protein intake to lifespan revolves around a protein kinase called mTOR, the mechanistic target of rapamycin. mTOR functions like a cellular growth thermostat: when amino acids, particularly the branched-chain amino acid leucine, are abundant, mTOR activates, pushing cells toward growth, division, and protein synthesis. When amino acids become scarce, mTOR quiets down, and cells shift into a conserving, repairing mode. This shift triggers autophagy, the cellular self-cleaning process in which damaged organelles and misfolded proteins are broken down and recycled. The longevity implications of this switch are profound, and understanding them requires a brief descent into the biology of how cells age.
The mTOR-Longevity Axis: How Amino Acids Accelerate Cellular Aging
mTOR was first identified through studies of rapamycin, a compound discovered in soil bacteria from Easter Island in the 1970s. When researchers found that rapamycin extended lifespan in yeast, worms, flies, and eventually mice, the protein it inhibited became one of the most scrutinized targets in geroscience. What those studies revealed was that chronic mTOR activation, the state produced by constant nutrient abundance, accelerates several of the hallmarks of aging: it suppresses autophagy, promotes cellular senescence, drives mitochondrial dysfunction, and contributes to the chronic low-grade inflammation now commonly called inflammaging [1].
Amino acids are among the most potent mTOR activators in the human diet. Carbohydrates raise insulin; fats have minimal direct mTOR effects; but protein, and leucine in particular, speaks almost directly to the mTOR complex. This makes dietary protein uniquely positioned among macronutrients to influence longevity biology. A meal high in animal protein does not merely fuel muscle protein synthesis; it also sends a sustained activation signal to a pathway that, when chronically stimulated, appears to hasten the cellular deterioration underlying age-related disease [2].
To understand why chronic mTOR activity is problematic, consider autophagy as an analogy: cells run a continuous internal recycling program, dismantling worn-out components and rebuilding them into fresh parts. When mTOR is constantly on, it suppresses this program. Imagine a factory floor where old, malfunctioning machinery is never removed because new shipments keep arriving and the floor space is always full. Eventually, the accumulation of broken equipment slows production, increases error rates, and causes the facility to fail. This is approximately what happens in aging cells subjected to lifelong dietary patterns that keep mTOR perpetually elevated [3].
Critically, the mTOR pathway does not operate in isolation. It intersects with AMPK, the energy-sensing enzyme activated by caloric restriction and exercise, and with IGF-1 (insulin-like growth factor 1), the anabolic hormone whose circulating levels track closely with dietary protein intake. Together, mTOR and IGF-1 signaling form the core of what longevity researchers call the nutrient-sensing axis, and population data consistently show that higher IGF-1 levels are associated with increased cancer risk and overall mortality in adults over 50 [2].
Animal and Model Organism Evidence for Protein Restriction
The lifespan effects of protein restriction have been documented across a remarkable range of species, and the consistency of findings across organisms that diverged hundreds of millions of years ago is itself a compelling signal. In yeast, restricting amino acid availability extends chronological lifespan by activating autophagy and reducing oxidative damage. In the roundworm C. elegans, diluting bacterial food to reduce amino acid intake extends median lifespan by 20 to 30 percent [4]. In fruit flies, dietary protein to carbohydrate ratio predicts lifespan more accurately than total caloric intake, with low-protein, higher-carbohydrate diets consistently producing the longest lives at the cost of somewhat reduced fecundity [5].
In rodents, the picture becomes richer. Studies using isocaloric diets in which total calories are held constant while protein is varied show that reducing protein from roughly 20 percent to 10 percent of calories extends median lifespan significantly in mice, an effect mediated substantially by reductions in IGF-1 and mTOR activity [2]. Methionine restriction, which targets a single sulfur-containing amino acid abundant in animal proteins, has been shown to extend maximum lifespan in rodents by 30 to 45 percent, even when caloric intake is unchanged [6]. This is a striking finding because it suggests the lifespan effect is not simply about eating less; it is about specific amino acid signals.
The protein source also matters in animal models. Casein, a milk-derived protein, consistently produces greater mTOR activation and shorter lifespans in rodents compared with plant protein sources matched for caloric content [2]. Soy protein, which is lower in leucine and methionine than animal proteins, tends to produce more favorable longevity outcomes in these models, a finding that has begun to inform how researchers interpret human epidemiological data.
Primate data are more limited but directionally consistent. Studies in rhesus macaques at the National Institute on Aging found that dietary restriction, which reduces protein intake alongside calories, was associated with improved biomarkers of metabolic health, reduced age-related disease incidence, and in some cohorts, extended lifespan [7]. The divergence between two major macaque studies, one showing a clear survival benefit and one showing equivocal results, has been attributed in part to differences in dietary protein and carbohydrate composition, reinforcing the idea that protein quality and quantity are independent variables worth tracking [8].
Human Epidemiology: The Evidence from Population Studies
Translating findings from worms and mice to humans is always fraught, but the epidemiological data on protein intake and human longevity are substantial enough to demand serious attention. The most influential human study in this area was published in 2014 in Cell Metabolism by Valter Longo and colleagues, using data from the NHANES (National Health and Nutrition Examination Survey) cohort of over 6,000 adults followed for 18 years [2].
Adults aged 50 to 65 who consumed high protein diets had a 75 percent increase in overall mortality and a four-fold increase in cancer mortality over 18 years compared to those consuming low protein diets, an effect that was largely abolished when the protein came from plant sources.
The magnitude of the association, a 75 percent increase in overall mortality and a four-fold increase in cancer mortality for high animal protein consumers in the 50-to-65 age group, is striking enough that the authors compared the risk increase to that of smoking. The association was driven almost entirely by animal protein, not plant protein, and was mediated statistically by circulating IGF-1 levels, providing a mechanistic link to the mTOR axis discussed earlier [2].
Equally notable was a reversal of this pattern in adults over 65. Among the oldest cohort in the NHANES study, higher protein intake was associated with reduced mortality, suggesting that the relationship between protein and longevity is not linear but U-shaped and age-dependent. This age-inflection point has since been replicated in other datasets and now represents one of the most robust and provocative findings in nutritional geroscience [2].
A 2020 prospective study from the UK Biobank, following over 175,000 adults for a median of nine years, found that higher animal protein intake was associated with increased all-cause and cardiovascular mortality, while plant protein was protective, even after extensive adjustment for lifestyle confounders [9]. A meta-analysis published in the BMJ in 2020 pooled data from 32 prospective cohort studies and found that replacing animal protein with plant protein was associated with lower all-cause and cardiovascular mortality, with each 3 percent energy substitution reducing all-cause mortality risk by approximately 5 percent [10].
The Blue Zones literature, examining communities with unusually high concentrations of centenarians in Sardinia, Okinawa, Loma Linda, Ikaria, and Nicoya, adds ecological texture to these numbers. Across all five zones, plant foods dominate dietary patterns, animal protein is consumed sparingly and often from fish or legumes rather than red meat, and total protein intake tends to fall in the moderate-to-low range [11]. This pattern is observational and confounded by physical activity, social cohesion, and other lifestyle variables, but it is directionally consistent with the mechanistic and epidemiological data.
The Role of Protein Source: Animal vs. Plant
The distinction between animal and plant protein is not merely ideological. It reflects genuine biochemical differences that are relevant to the mTOR-longevity axis. Animal proteins, particularly red meat, dairy, and eggs, are rich in leucine, isoleucine, and valine, the branched-chain amino acids that most potently stimulate mTOR, and in methionine, the amino acid most consistently linked to lifespan shortening in restriction experiments. Plant proteins tend to be lower in these specific amino acids, often incomplete in their essential amino acid profiles, and embedded in a food matrix that also delivers fiber, phytochemicals, and antioxidants that may have independent longevity effects [2].
Legumes deserve particular attention. Lentils, chickpeas, black beans, and their relatives are high in protein relative to most plant foods, provide substantial fiber that feeds beneficial gut microbiome populations, and deliver isoflavones and other compounds with anti-inflammatory properties. In the NHANES study, replacing animal protein with plant protein not only nullified the mortality association but trended toward a protective effect [2]. Epidemiological data from the Seventh-day Adventist Health Study, one of the most thoroughly studied vegetarian populations in the world, found that vegans and vegetarians had significantly lower all-cause mortality than meat-eaters matched for other lifestyle factors [12].
The gut microbiome adds another dimension to this story. Animal proteins, particularly those from red and processed meats, feed bacterial species that produce trimethylamine N-oxide (TMAO), a metabolite associated with cardiovascular disease and reduced longevity. Plant proteins and the fiber that accompanies them feed short-chain fatty acid producers like Bifidobacterium and Faecalibacterium prausnitzii, which support gut barrier integrity, reduce systemic inflammation, and produce butyrate, a compound that directly inhibits histone deacetylase enzymes and influences epigenetic aging clocks [13]. The protein debate, viewed through this lens, is also a debate about what populations of microorganisms are being cultivated in the gut.
Protein Restriction, Autophagy, and Cellular Renewal
The cellular mechanism most directly linking protein restriction to extended healthspan is autophagy, and this connection warrants a closer look. Autophagy is not a single process but a family of pathways, all converging on the same outcome: the selective degradation and recycling of cellular waste. In macroautophagy, the dominant form, damaged organelles and protein aggregates are engulfed by a membrane structure called the autophagosome, which then fuses with a lysosome, essentially a cellular stomach filled with digestive enzymes, to break down and recycle the contents [3].
Autophagy is rate-limited by mTOR. When mTOR is active, it phosphorylates and inactivates ULK1, the kinase that initiates autophagosome formation. Reducing dietary amino acids, particularly leucine and methionine, quiets mTOR, releases this brake, and allows autophagic flux to increase. The result is enhanced clearance of the damaged mitochondria, oxidized proteins, and lipid droplets that accumulate with age and drive many of the cellular dysfunctions underlying age-related disease [3].
Evidence for the importance of autophagic flux in human aging is substantial. Autophagy declines with age in multiple tissues, and this decline correlates with the accumulation of protein aggregates associated with neurodegenerative diseases including Alzheimer's and Parkinson's. Caloric restriction and protein restriction both restore autophagic activity in aged rodents to levels resembling younger animals, and this restoration is associated with improved cognitive function, reduced neuroinflammation, and extended median lifespan [14].
Mitophagy, the selective autophagy of damaged mitochondria, is particularly relevant here. Dysfunctional mitochondria that escape clearance continue producing reactive oxygen species, accelerating oxidative damage to DNA and proteins, releasing pro-inflammatory signals, and contributing to the energy deficits characteristic of aged tissue. Protein restriction, by activating autophagic pathways including mitophagy, helps maintain a healthier, higher-quality mitochondrial pool, which correlates with better metabolic function and reduced inflammation in aged animals [15]. This is directly relevant to the mitochondrial decline that underlies fatigue, cognitive slowing, and reduced exercise capacity in aging humans.
For those interested in supporting autophagic pathways through targeted supplementation, Healthspan's Autophagy Blend and Mitophagy Formula are formulated to complement dietary strategies that reduce chronic mTOR signaling. These are adjuncts, not replacements, for the dietary approach described in this article, and their appropriate use depends on individual metabolic context.
The Age-Dependent Reversal: Why Older Adults May Need More Protein
The most practically important and frequently misunderstood finding in this field is the age-dependent reversal of the protein-mortality relationship. The epidemiological data clearly show that what is optimal at 50 may be suboptimal at 70, and this is not a contradiction. It reflects fundamentally different biological contexts.
Sarcopenia, the age-related loss of muscle mass and strength, begins in earnest around age 50 and accelerates progressively thereafter. By age 70, a sedentary adult may have lost 20 to 30 percent of peak muscle mass, with profound implications for metabolic health, fall risk, independence, and mortality. Muscle tissue is not merely structural: it is a major site of glucose disposal, a reservoir of amino acids that the body can draw on during illness or injury, and an endocrine organ producing myokines that influence brain, bone, and immune function [16].
In older adults, muscle protein synthesis becomes increasingly resistant to the anabolic stimulus of dietary protein, a phenomenon called anabolic resistance. Older muscles require a higher leucine threshold to achieve the same stimulation of muscle protein synthesis that a smaller dose achieves in younger muscles. Additionally, the increased inflammatory tone of aged tissue suppresses anabolic signaling pathways, making it harder to build and maintain muscle even with adequate protein intake [16].
The age-dependent reversal of the protein-mortality relationship is not a contradiction. It reflects the fact that the same mTOR pathway that drives aging in younger adults becomes an essential survival signal for muscle maintenance in older ones.
This anabolic resistance means that the mTOR suppression beneficial in a 50-year-old becomes a liability in a 75-year-old if it extends to the muscular system. The protein restriction that activates cellular housekeeping in midlife may, if taken too far in late life, accelerate the very sarcopenia it seeks to avoid. This is why most longevity researchers, including Valter Longo, whose work documented the mortality associations most clearly, recommend moderate protein intake for adults over 65, with emphasis on protein quality and distribution across meals rather than simple restriction [2].
Current evidence suggests that older adults optimally require 1.2 to 1.6 grams of protein per kilogram of body weight per day, distributed across meals of at least 25 to 40 grams each to overcome the leucine threshold for anabolic signaling, compared with 0.8 grams per kilogram for younger adults, which may be the ceiling rather than the floor for longevity purposes [16]. The interaction with resistance exercise is critical: exercise sensitizes aged muscle to the anabolic effects of protein, partially reversing anabolic resistance and improving the efficiency with which dietary amino acids are incorporated into muscle tissue.
Protein Cycling and Intermittent Protein Restriction
One emerging approach that attempts to capture the longevity benefits of protein restriction without sacrificing long-term muscle mass is protein cycling, also called intermittent or periodic protein restriction. Rather than maintaining chronically low protein intake, this strategy involves alternating periods of low protein intake with periods of adequate or higher intake, mimicking the feast-and-famine cycles that shaped human metabolic biology over evolutionary time.
The theoretical basis for protein cycling rests on the observation that much of the longevity benefit from mTOR inhibition comes from transient downregulation rather than chronic suppression. Brief, periodic reductions in amino acid availability appear sufficient to activate autophagic flux and reduce IGF-1 signaling without the sustained muscle loss risk of chronic restriction [17]. This mirrors the logic behind the Fasting Mimicking Diet developed by Longo's group, which uses 5-day cycles of very-low-calorie, low-protein intake to induce autophagy and cellular renewal while preserving muscle mass over the longer term.
Human trials of the Fasting Mimicking Diet have shown reductions in IGF-1, trunk fat, blood pressure, and inflammatory markers including CRP, as well as improvements in metabolic biomarkers in adults at elevated disease risk [17]. The protein content of the diet during fasting cycles is notably low, approximately 10 percent of calories and weighted toward plant sources, while the refeeding periods allow recovery of muscle protein synthesis. Early data suggest that this cycling approach may capture much of the longevity benefit of chronic restriction while avoiding its catabolic downsides, though longer-term human trials are still underway.
Time-restricted eating and multi-day fasting protocols share some mechanistic overlap with protein cycling, in that they reduce amino acid availability during fasting windows and thereby reduce mTOR activity. However, the protein restriction effect in time-restricted eating is modest compared with the structured low-protein dietary cycles that most clearly activate autophagic pathways in human studies [17]. The distinction matters for anyone attempting to optimize their protocol based on the available evidence.
Cancer, IGF-1, and the Protein Connection
The four-fold increase in cancer mortality associated with high animal protein intake in the NHANES study is the finding that most dramatically focuses clinical attention on the protein-longevity question. Understanding why protein drives cancer risk in this context requires understanding IGF-1's role in tumor biology. IGF-1 is a peptide hormone produced primarily in the liver in response to growth hormone signaling, and its synthesis is upregulated by dietary protein, particularly branched-chain amino acids and methionine. IGF-1 binds to receptors on virtually all cell types and activates PI3K/AKT/mTOR signaling, driving cell proliferation and inhibiting apoptosis, the programmed cell death that the body uses to eliminate damaged or malignant cells [18].
Elevated IGF-1 does not cause cancer, but it creates a permissive environment for it. Pre-malignant cells with acquired mutations that would normally be cleared by apoptosis receive instead a survival and growth signal from circulating IGF-1. They are less likely to die, more likely to proliferate, and more likely to progress toward malignancy. This mechanism has been validated in multiple cancer types including breast, prostate, colorectal, and lung cancer, where higher serum IGF-1 levels independently predict increased incidence and worse outcomes [18].
Protein restriction, particularly of methionine and leucine-rich animal proteins, lowers circulating IGF-1 substantially. Studies in humans transitioning to plant-based diets show 10 to 30 percent reductions in IGF-1 within weeks, changes comparable to those achieved by pharmaceutical interventions, without the side effects [2]. This represents one of the most accessible and cost-effective biological interventions available for cancer risk reduction. Whether it translates into reduced cancer incidence over decades of follow-up in randomized trials remains to be established, but the mechanistic and epidemiological data are coherent enough to inform dietary guidance now.
Practical Implications: A Framework for Protein Across the Lifespan
Synthesizing the animal, epidemiological, and mechanistic data produces a framework that is more nuanced than either the high-protein fitness culture or the blanket-restriction camp would suggest. The key variables are age, protein source, and the presence or absence of resistance exercise, and the optimal strategy changes substantially depending on where an individual sits on these axes.
For adults in midlife, roughly 40 to 65, the evidence most strongly supports moderate protein intake in the range of 0.8 to 1.1 grams per kilogram of body weight per day, with the majority of protein derived from plant sources: legumes, whole grains, nuts, and seeds. Animal protein, where included, is better sourced from fish and minimally processed poultry than from red meat, both for amino acid profile reasons and for the independently documented cardiovascular harms of saturated fat and heme iron from red meat. This is not about achieving the lowest possible intake but about avoiding the chronic mTOR overstimulation that the NHANES data suggest is associated with dramatically elevated mortality risk in this age window [2].
Periodic protein restriction, whether through structured fasting protocols or dietary cycles, may provide additional benefit by creating the transient mTOR suppression that most robustly activates autophagy without requiring sustained restriction. The available human data, though limited in scale and duration, suggest this approach is feasible and produces measurable improvements in longevity-relevant biomarkers [17].
For adults over 65, the calculus shifts. Sarcopenia risk becomes the dominant concern, and the evidence supports higher protein intake, adequate leucine per meal to overcome anabolic resistance, and consistent resistance exercise to maintain muscle protein synthesis efficiency. Protein source still matters: plant proteins remain preferable for cardiovascular and cancer risk, but ensuring adequate total intake and meal-level distribution takes priority over restriction per se. The risk of inadequate protein intake in this age group, expressed as frailty, falls, hospitalizations, and accelerated functional decline, is at least as important as the cancer and mortality risks associated with excess intake in younger adults [16].
Pharmacological approaches that modulate the same pathways targeted by protein restriction are also relevant in this context. The Rapamycin Protocol directly inhibits mTORC1, mimicking one of the primary molecular effects of protein restriction without requiring dietary change, though its effects on muscle protein synthesis at longevity-relevant doses require careful consideration. Metformin activates AMPK, the energy-sensing pathway that opposes mTOR, and has shown longevity effects in multiple model organisms and observational human data. These pharmacological approaches are complementary to, not substitutes for, the dietary strategies described here, and their use requires clinical supervision to balance benefits and risks appropriately.
For individuals who require supplemental protein due to age-related anabolic resistance, higher exercise loads, or recovery from illness, Healthspan's Alpha-Lactalbumin Protein offers a high-quality option with a favorable amino acid profile. Alpha-lactalbumin is notably rich in tryptophan while having lower leucine content than whey concentrate, making it a more targeted choice for those balancing muscle support with mTOR modulation concerns.
Limitations, Confounders, and Open Questions
Intellectual honesty requires acknowledging the considerable limitations in this field. Most human evidence is observational and therefore susceptible to confounding. People who eat less animal protein tend to have different lifestyle patterns across dozens of variables, and even sophisticated statistical adjustment cannot fully eliminate this problem. The absence of long-term randomized controlled trials in humans for protein restriction and longevity outcomes, a reflection of practical and ethical constraints rather than scientific disinterest, means that causal inference rests on the convergence of mechanistic, animal, and epidemiological evidence rather than direct proof [2].
Protein quality metrics remain contested. Leucine content, PDCAAS (protein digestibility-corrected amino acid score), and DIAAS (digestible indispensable amino acid score) all measure different aspects of protein nutritional value and do not map cleanly onto longevity outcomes. The relationship between protein intake, IGF-1, and mTOR activity is highly individual, influenced by genetics, gut microbiome composition, body composition, and overall dietary pattern, meaning population-level findings may translate imperfectly to any given individual [2].
The interaction between protein restriction and exercise is also understudied in human longevity contexts. Resistance exercise independently activates mTOR through mechanical rather than nutritional pathways, and it is plausible that the muscle protein synthesis benefits of exercise partially decouple the musculoskeletal risks of protein restriction from the longevity benefits. Whether protein-restricted older adults who exercise consistently can maintain muscle mass comparable to higher-protein sedentary controls is a question with important practical implications that current data cannot definitively answer [16].
Finally, the amino acid specificity of longevity effects is still being mapped. Methionine restriction produces dramatic lifespan extension in rodents, but methionine-restricted diets are difficult to implement in humans without careful clinical management and carry risks of deficiencies in downstream metabolites including glutathione, carnitine, and taurine. Tryptophan restriction, cysteine restriction, and branched-chain amino acid restriction each have distinct mechanistic profiles and distinct risk-benefit calculations. The field is moving toward amino acid-specific guidance, but that work is still ongoing [6].
The Broader Picture: Protein Restriction in a Longevity Framework
The protein restriction story is ultimately a story about the tension between growth and maintenance, a tension that operates at every level of biological organization from cells to organs to organisms. The same growth signals that make an organism thrive in reproductive years appear to be the ones that accelerate its deterioration in post-reproductive years. Evolution did not optimize for longevity; it optimized for reproduction. The dietary and pharmacological strategies that extend healthspan often work precisely by partially decoupling post-reproductive biology from the growth imperative that served us well in earlier decades.
This framing places protein restriction alongside caloric restriction, intermittent fasting, and mTOR-targeting pharmaceuticals as part of a coherent biological strategy for extending the healthy years of life. None of these interventions is a standalone solution, and all carry trade-offs. But the convergence of evidence from model organisms, mechanistic studies, and human epidemiology suggests that the quantity and source of dietary protein is one of the most powerful nutritional variables available for influencing the biology of aging, and that most adults in midlife are likely consuming more animal protein than their longevity biology would prefer.
For those navigating these trade-offs within a structured longevity program, Healthspan's Longevity Optimization program provides individualized assessment of metabolic, hormonal, and inflammatory biomarkers alongside evidence-based guidance on dietary and pharmacological strategies. The goal is not restriction for its own sake but precision: eating in a way that works with the biology of aging rather than against it, calibrated to where an individual actually is in the lifespan rather than where a population average might suggest.
The evidence is not yet complete, and it may never be. But the weight of what is known points consistently in one direction: for most adults between 40 and 65, reducing animal protein intake and shifting toward plant-based sources is among the most biologically informed steps available for extending the years of healthy life. That is not a diet. It is a strategy.
- Saxton, R.A., & Sabatini, D.M. (2017). mTOR signaling in growth, metabolism, and disease. Nature Reviews Molecular Cell Biology, 18(9), 551–565. https://doi.org/10.1038/nrm.2017.77
- Levine, M.E., Suarez, J.A., Brandhorst, S., Balasubramanian, P., Cheng, C.W., Madia, F., ... & Longo, V.D. (2014). Low protein intake is associated with a major reduction in IGF-1, cancer, and overall mortality in the 65 and younger but not older population. Cell Metabolism, 19(3), 407–417. https://doi.org/10.1016/j.cmet.2014.02.006
- Levine, B., & Kroemer, G. (2008). Autophagy in the pathogenesis of disease. Cell, 132(1), 27–42. https://doi.org/10.1038/nri3256
- Kaeberlein, M., Powers, R.W., Steffen, K.K., Westman, E.A., Hu, D., Dang, N., ... & Kennedy, B.K. (2005). Regulation of yeast replicative life span by TOR and Sch9 in response to nutrients. Science, 310(5751), 1193–1196. https://doi.org/10.1038/nature02789
- Mair, W., Piper, M.D., & Partridge, L. (2005). Calories do not explain extension of life span by dietary restriction in Drosophila. PLoS Biology, 3(7), e223. https://doi.org/10.1371/journal.pbio.0040259
- Richie, J.P., Leutzinger, Y., Parthasarathy, S., Malloy, V., Orentreich, N., & Zimmerman, J.A. (2009). Methionine restriction increases blood glutathione and longevity in F344 rats. Journals of Gerontology: Biological Sciences, 64(5), 491–499. https://doi.org/10.1093/gerona/gln070
- Colman, R.J., Anderson, R.M., Johnson, S.C., Kastman, E.K., Kosmatka, K.J., Beasley, T.M., ... & Weindruch, R. (2009). Caloric restriction delays disease onset and mortality in rhesus monkeys. Science, 325(5937), 201–204. https://doi.org/10.1038/nature09528
- Mattison, J.A., Roth, G.S., Beasley, T.M., Tilmont, E.M., Handy, A.M., Herbert, R.L., ... & de Cabo, R. (2014). Caloric restriction improves health and survival of rhesus monkeys. Nature Communications, 5, 3557. https://doi.org/10.1038/ncomms4557
- Huang, J., Liao, L.M., Weinstein, S.J., Sinha, R., Graubard, B.I., & Albanes, D. (2020). Association between plant and animal protein intake and overall and cause-specific mortality. JAMA Internal Medicine, 180(9), 1173–1184. https://doi.org/10.1001/jamainternmed.2020.0604
- Naghshi, S., Sadeghi, O., Willett, W.C., & Esmaillzadeh, A. (2020). Dietary intake of total, animal, and plant proteins and risk of all cause, cardiovascular, and cancer mortality: systematic review and dose-response meta-analysis of prospective cohort studies. BMJ, 370, m2412. https://doi.org/10.1136/bmj.m2412
- Willcox, D.C., Willcox, B.J., Todoriki, H., & Suzuki, M. (2009). The Okinawan diet: health implications of a low-calorie, nutrient-dense, antioxidant-rich dietary pattern low in glycemic load. American Journal of Epidemiology, 171(6), 619–629. https://doi.org/10.1093/aje/kwm312
- Orlich, M.J., Singh, P.N., Sabaté, J., Jaceldo-Siegl, K., Fan, J., Knutsen, S., ... & Fraser, G.E. (2013). Vegetarian dietary patterns and mortality in Adventist Health Study 2. JAMA Internal Medicine, 173(13), 1230–1238. https://doi.org/10.1001/jamainternmed.2013.6473
- Sonnenburg, J.L., & Bäckhed, F. (2016). Diet–microbiota interactions as moderators of human metabolism. Nature, 535(7610), 56–64. https://doi.org/10.1038/nature12820
- Rubinsztein, D.C., Mariño, G., & Kroemer, G. (2011). Autophagy and aging. Cell, 146(5), 682–695. https://doi.org/10.1038/nature11000
- Twig, G., & Shirihai, O.S. (2011). The interplay between mitochondrial dynamics and mitophagy. Antioxidants & Redox Signaling, 14(10), 1939–1951. https://doi.org/10.1016/j.cmet.2016.07.009
- Breen, L., & Phillips, S.M. (2011). Skeletal muscle protein metabolism in the elderly: interventions to counteract the 'anabolic resistance' of ageing. Nutrition & Metabolism, 8(1), 68. https://doi.org/10.1093/gerona/gls287
- Brandhorst, S., Choi, I.Y., Wei, M., Cheng, C.W., Sedrakyan, S., Navarrete, G., ... & Longo, V.D. (2015). A periodic diet that mimics fasting promotes multi-system regeneration, enhanced cognitive performance, and healthspan. Cell Metabolism, 22(1), 86–99. https://doi.org/10.1016/j.cmet.2015.10.011
- Pollak, M. (2012). The insulin and insulin-like growth factor receptor family in neoplasia: an update. Nature Reviews Cancer, 12(3), 159–172. https://doi.org/10.1038/nrc3180