Introduction
Prior to 2009 the consensus of scholars was that aging could not be treated or if it could be it must be a youth factor (e.g., growth hormone). Numerous advertised ascientific approaches that absconded with a lot of folk’s money mostly confused people and was counterproductive for the field. However, there were two scientific settings in which aging could be reproducibly delayed. Unfortunately, neither were optimal for use in people. They were restrictions of diet and/or growth factors by genetic means. Since people do not like restricting anything, especially food, progress toward a deeper understanding of aging and potential ways to delay its effects was slow.
In recognition of this bottleneck, the National Institute of Aging did a smart thing. It established a program to identify compounds that could be tested for aging effects under rigorous and standard conditions. The goal was to determine drug effects on life span of genetically heterogeneous mice of both sexes. A major advantage of this new Intervention Testing Program is that the three test sites are geographically separated, the test mice are by design genetically heterogenous and included both sexes and importantly, the site directors are recognized experts in aging studies in rodents but had no stake in the outcomes.
It has been exceptionally successful. To date, the ITP website indicates they have tested or in the process of testing 64 different compounds, some at varied doses and in combination. Twenty publications from the ITP have reported increases in life span from ten compounds. Importantly, the ITP also reports compounds that do not extend life span.
In section 6 of this special issue, we focus of the ITP 2009 test of what was then an unlikely candidate drug called rapamycin. Results showing increased median and maximum life span in advanced aged males and females in this paper reset the paradigm for aging studies. It suggested that pharmacological agents can prevent, delay and/or reduced the severity of age-caused morbidities. In this section, we will first briefly remind readers about the biology of the cell systems affected by rapamycin, better known as the targets of rapamycin or TOR. Next, we will review the results of several studies on the effects chronic rapamycin has on lifespan in both sexes including our recollection of the that first study (Harrison et al., 2009). Following that, we will relate selected examples of the effects chronic rapamycin has on age-caused diseases. We conclude with our view of what rapamycin effects are telling us about aging and how it might be working. We confess at the outset that we have only a faint picture of rapamycin’s function as an anti-aging agent and suggest that it will be as complicated and mysterious as the studies to determine how restriction of food and growth factors work, which after half a century still have a way to go.
TOR Story
The discovery of rapamycin, its characterization and development have been covered previously (Sharp and Strong, 2010). The discovery of its intracellular receptor FKBP (a proline rotomase) was concomitant with the genetic identification of the target of rapamycin TOR1 and TOR2 in yeast (Heitman et al., 1991). The big question then was what do these genes encode? When obtained the cDNAs for yeast TOR1 and TOR2 turned out to look like large novel kinases, which at first were thought to regulate the cell cycle. However, in a now classic paper and one we feel set the stage for TOR’s role in aging, Barbet et al. (Barbet et al., 1996) showed that inactivation of TOR either by rapamycin or deletion led to a starved phenotype and G1 arrest. After identification of TOR in budding yeast, multiple labs reported the identification of one gene encoding mammalian target of rapamycin (Brown et al., 1994; Chiu et al., 1994; Sabatini et al., 1994). Each lab named it differently but eventually got merged into mammalian TOR (mTOR), then mechanistic TOR followed, with some reservations (Hall, 2013). Thus, it was these discoveries that led one of us (zds) to envision chronic rapamycin as a potential antiaging compound that would mimic diet restriction. However, there was another clue that centered on the issue of cell and organism size that also played a big role in the thinking.
Although it’s hard to imagine, the prevailing view up to that time was that cells and organisms somehow just naturally grew given sufficient nutrients. How cell size was determined was unknown. In the aging world, thoughtful investigations of ideas about organism size indicated that mass is somehow involved in life span determination. Small dogs live healthier. longer lives than big dogs. But just how this worked was pretty much a mystery.
At that time, there were two interventions known to extend life span: diet restriction and pituitary dwarfs. One of us (zds) wondered about a common phenotype that linked both interventions, which was that they both resulted in smaller animals compared to controls. How could size play a role in age retardation? Multiple factors regulate body size, two being either fewer cells or smaller cells. For the long-lived Snell pituitary dwarf (Flurkey et al., 2001), they have the same number of skeletal muscle fibers (cells) as wild type, but the fiber size is significantly smaller (Stickland et al., 1994). This suggested that pituitary dwarfs lacking in growth hormone (plus TSH and prolactin) could result from reduced mTOR activity which was shown in liver and muscle by one of us (zds) in collaboration with Andrzej Bartke (Sharp and Bartke, 2005). Thus, reduced mTOR due to growth factor (or factors) restriction in mice and by diet restriction or rapamycin in yeast were both linked to aging. Could chronic rapamycin mimic both processes to slow aging?
It was a crazy idea. The main objection then and now is that rapamycin is a potent immunosuppressant in people and is, therefore a dangerous drug for chronic use in humans, especially in elders. Rapamycin was and still is used (in various formulations and combinations) for cancer treatment, and chronically as an agent to suppress rejection of transplants. Interestingly in this last group of patients, the incidence of cancer is reduced (Knoll et al., 2014; Salgo et al., 2010). Despite the black label warning on sirolimus, the ITP agreed to test it. Now it was up to us, to make this test happen.
The Test
It was not smooth sailing at first. We were aiming for rapamycin blood concentrations like those in transplant patients (10 ng/ml). Although rapamycin in food had the expected reduction of mTOR activity in visceral adipose, the drug degraded too fast for use in an ITP trial. Fortunately, one of us (rs) recognized that we needed a method to stabilize rapamycin in food for storage and use if we were ever going to complete the first experiment. In consultation with Dr. X at the Southwest Research Institute, encapsulation with an excipient called Eudragit S100 was recommend for this purpose. This formulation releases rapamycin at close to a neural pH, which is found in distal small intestine and colon in rodents. To our delight, blood levels exceed expectations for our 14 ppm diet (Nadon et al., 2008), and the three sites of the ITP began the trial with this diet on the first cohorts of mice at all three sites. Because of the time it took to develop encapsulated rapamycin (now called eRapa), the cohorts in the three test sites had aged to 20 months. There was a real concern that these older mice could not tolerate our ITP rapamycin diets but it turned out to be not true.
As mentioned in the introduction, the results published of this first experiment reported in Nature (Harrison et al., 2009), showed median and maximum life span extension in both sexes. It was remarkable, especially such a response in older mice that were expected to die from treatment. Since this paper, the ITP has performed 5 trials (one in progress), all with the same results; mice live longer and healthier on this drug. One of the more remarkable results showed a dose response, with females showing the greatest benefit (Miller et al., 2014). The question is however, will it perform this well in people? We will return to this question in a bit, but it seemed that this would be a good point to briefly review what’s known about its target, TOR.
Two complexes assemble that both contain mTOR. mTORC1 and mTORC2 each promote autonomous cell and non-autonomous cell-specific functions. mTORC1 initially was the main focus of aging research with many studies indicating that it is a key regulator of gaining and age-caused diseases (Laplante and Sabatini, 2012). When nutrients and growth factors are replete, mTORC1 promotes anabolic pathways for cell mass accumulation. When opposite conditions are prevalent, it promotes catabolic processes for survival of cells.
As shown in Figure 2, there are activating factors for mTORC1 and stresses that cells encounter that repress mTORC1 both of which that lead to activation of its downstream effectors that function in aging and cancer. Figure 2 is highly simplified, and there are excellent reviews that provide detailed discussions of mTORC1 and mTORC2 structure, function and signaling networks (Bar-Peled and Sabatini, 2014; Betz and Hall, 2013; Cornu et al., 2013; Dibble and Manning, 2013; Huang and Fingar, 2014; Jewell and Guan, 2013; Laplante and Sabatini, 2012; Ochocki and Simon, 2013; Rexin et al., 2015). Lamming et al.(Lamming et al., 2014) proposed that active mTORC1 represses longevity, while a functioning mTORC2 promotes longevity in males.
Figure 2.
Generalized model of rapamycin effects on aging through inhibition of mTORC1.
mTORC2 is not considered in this model. mTORC1 responds to various activation signals (nutrients, growth factors, etc. and to inhibitory signals (stresses such as genotoxic, oxidative, etc.). Inhibition of mTORC1 by rapamycin inhibits normal aging and associated diseases by currently unknown mechanisms. Aylett(Aylett et al., 2016) et al. found a structural change where by the TOR signaling motif (TOS) in raptor was displaced thereby limiting access of the kinase active site (asterisk) to TOS-containing substrates such as S6 kinase 1 (right schematic).
How does rapamycin work?
In structure and function, the mTOR genes discussed earlier are conserved in eukaryotes, including plants (John et al., 2011). The protein belongs to a larger family of what has been referred to “ ‘giant’ phosphatidylinositol 3-kinase (PI3K)–like protein kinases (PIKKs)” (Smerdon, 2014). The conserved structure function domains of this family and the one specific for mTOR are shown linearly in Figure 1. Aylett et al.(Aylett et al., 2016) identified the horn and bridge areas of the heat-repeat-containing N-terminal domain, which is common to other members of the PIKK family as are the FAT, FAT-C and kinase domains (Smerdon, 2014). The unusual (and defining) feature of mTOR is the FRB region located on the N-terminus of the kinase domain, with which the FKBP12-rapamycin complex interacts. Evidently, the FRB domain evolved, at least in part, to interact with phosphatidic acid (PA) thereby stabilizing and activating one of the complexes containing mTOR (mTORC1), reviewed by Foster(Foster, 2013)). Rapamycin-FKBP12 competes with PA for mTOR binding. PA also stabilizes the other mTOR complex (mTORC2), which is less sensitive to acute rapamycin-FKBP12 competition. But, what are the effects on diseases and aging?
Figure 1.
Schematic of mTOR structure. Indicated are identified domains. The kinase domain is located near the C-terminus following an N-terminal helical repeat motifs (HEAT repeats), which are subdivided into a curved solenoid (called the horn and straight solenoid referred to as the bridge(Aylett et al., 2016). Another (tetratricopeptide (TPR) (Knutson, 2010) repeat-containing domain named FAT (Frap, ATM and TRRAP). A C-terminal FAT domain (FAT-C) is structurally different from the FAT domain, but was also named after Frap, ATM, TRRAP. The N-terminus of the kinase domain is the defining region of the protein known as theFK506 binding protein (FKBP)-rapamycin binding (FRB) domain, which is necessary for rapamycin allosteric inhibition of mTOR. Acting independently of the FRB domain are ATP-competitive inhibitors.
Effects of chronic rapamycin on age-associated diseases.
In response to these results, labs worldwide began testing eRapa and other formulations on various types of age-associated diseases. A common question studied by the ITP and others was: does eRapa delay signs of aging? For example, starting eRapa at 9 months of age slows aging traits in UM-HET3 mice, although noting a higher incidence of testicular degeneration (Wilkinson et al., 2012). In an inbred strain, C57BL/6, starting the diet at 19 months of age, Zhang et al. (Zhang et al., 2014) investigated this question and concluded eRapa extended life and health span, with no differences noted in testicular degeneration or cataracts in older mice(. In a follow up study of long-term effects of chronic eRapa starting at 4 months of age and continued to the end of life, Fischer et al. (Fischer et al., 2015) data indicated that lifespan and health span are not necessarily correlated. In another study by Neff et al. (Neff et al., 2013) eRapa extended life span but improved only a few of a wide range of age-associated phenotypes. In addition, the treated mince exhibited two adverse events: testicular degeneration and nephrotoxicity. Ehninger et al. (Ehninger et al., 2014) proposed that chronic eRapa does not slow aging but suppresses cancer, the major cause of mortality in mice. In a rebuttal to this paper Johnson et al.(Johnson et al., 2013a) stated results “supports the model that rapamycin promotes longevity by targeting some, but perhaps not all, core molecular processes that drive cellular and systemic aging.” A very large field of study quickly grew. Since the ITP’s 2009 paper, a weekly search from the NCBI titled “What’s new for mTOR” report of new papers ranges from 50 to 100 per week. Most of these papers are disease oriented showing mTOR involvement (mostly up regulated). The concept of mTOR-opathies has emerged.
In a book section written in 2016 (Sharp, 2017), a table listed selected diseases related to aging in which rapamycin and its sister formulations had been used. Today such a table would take up too much space due to a substantial increase. For example, in cancer alone the number of papers returned by PubMed search using rapamycin or sirolimus, cancer article published since 2016 returned over 260 papers. The same increases were seen in other categories such as neuro degenerative diseases. One that is noteworthy for this review in the cancer section is from Brown’s group at The University of Texas MD Anderson Cancer Center, reported for the first time that a rapalog, everolimus showed promise as a breast cancer prevention agent (Mazumdar et al., 2022) This is significant since most agents for cancer are for treatments (and rightly so), but one for prevention is that is also works as an antiaging agent is momentous.
This is in line with the cancer prevention preclinical studies conducted by our group in several murine models of cancer. In these studies we treated then with our enteric formulation of rapamycin we call eRapa. In a previous study of diet restriction in the Rb1+/− neuroendocrine tumorigenic model, we showed that this intervention had only a minimal effect on life span and tumor prevention (Sharp et al., 2003). In contrast, chromic eRapa treatment showed a highly significant extension of life span and delay of tumor development in both sexes (Livi et al., 2013). This is an interesting difference in the in vivo response to diet restriction versus mTORC1 inhibition. The next model was another one with an altered tumor suppressor gene p53 including +/+, +/− and −/− genotypes. We found that p53 and rapamycin are additive in life span effects (Christy et al., 2015).
To round out our work on murine tumor suppressor models that spontaneously generate cancer we chose ApcMin/+ mice that are heterozygous for the adenomatous polyposis coli gene (Apc), which is a model for familial adenomatous polyposis or FAP. In humans, APC inhibits pro-growth WNT signaling through the regulation of β-catenin transport to the nucleus. APC mutations results in the development of numerous adenomatous colorectal polyps at a young age. The polyps inevitably progress to colorectal cancer if left untreated. The standard of care is total colectomy, which is a morbid and life altering treatment.
In collaboration with Paul Hasty, we tested the postulate that enterically delivered rapamycin by eRapa in ApcMin/+ mice would intervene in the tumorigenic processes in the small intestine crypts to extend life span. The results were impressive with some treated animals outliving wildtype female mice (Hasty et al., 2014). We repeated this experiment in both males and females and found the observed the same results, except that in this experiment males lived longer than females (Parihar et al., 2020). To determine if eRapa was effective in preventing malignant tumors in this model, we pretreated with eRapa followed by dextran sodium sulfate treatments. This setting converts ApcMin/+ mice from a polyposis small intestine model to a colorectal cancer model. Again, eRapa prevented tumors in this model and extended life span equally in both sexes (Parihar et al., 2021). This work set the stage for testing eRapa in humans.
eRapa Clinical Trials
Based on ours and other’s work with eRapa the following clinical trials are underway.
- Phase IIa (NCT04230499) dose-escalation FAP study
- Study population: patients with FAP who have previously undergone colectomy or subtotal colectomy and have residual polyps in the remnant colon/rectum
- Study size: 10 patients per dosing cohort (30 patients total)
- Study status: open to enrollment
- Phase 1b (NCT03618355) dose-escalation prostate cancer study
- Study population: patients with low-grade prostate cancer (Gleason 6 or 7 [3+4]) under active surveillance
- Study size: 3–6 patients per dosing cohort (9–18 patients total)
- Phase II (NCT04375813) double-blinded, randomized bladder cancer trial
-
Study population: patients with non-muscle invasive bladder cancerStudy size: 75 patients per treatment arm (150 patients total)
-
As mentioned, mTORC1 has been a focus in aging. A recent exciting paper by Frei et al.(Frei et al., 2022) shows that mTOC2 is likely to have a big role also. The study focused on thet sympathetic and possibly sensory communication of the central nervous system with white adipose tissue (WAT). This elegant study reported that adipose mTORC2, (a major component of the insulin signaling) is necessary for arborization of sensory neurons in WAT. A bigger point is that this work suggests WAT may affect systemic energy homeostasis via this sensory network. WAT is also one of the most responsive tissues to rapamycin, which showed an opposite adaptation to other tissues such as colon (Dodds et al., 2016).
When rapamycin was not good.
While most outcomes to chronic rapamycin are anti-aging, the results in one experiment is noteworthy for its opposite effect and relevance to a large patient population in the elderly, type-2 diabetes. Chronic eRapa resulted in an increase in mortality in a mouse model (db/db of this disease due to suppurative inflammation (Sataranatarajan et al., 2015). Another major failure of mTOR inhibition by rapamycin was a trial studying intravitreal sirolimus in age-related macular degeneration (AMD) (Petrou et al., 2014). This was unexpected since hyperactivated mTORC1 was widely viewed as playing a major role in development and progression of AMD (Zhao et al., 2011)(Zhang et al., 2020)(Huang et al., 2019)(Zigler et al., 2011)(Kaur et al., 2018)(Go et al., 2020). Why an intravitreal approach lead to adverse events is somewhat mysterious since systemic sirolimus cured AMD-like symptoms in a mouse model when administer iP (Zhao et al., 2011). In hyperglycemic rats, an IP injection of rapamycin reduced diabetes -induced VEGF overexpression that controls vascular permeability and angiogenesis (Kida et al., 2021). One wonders if systemic intervention with mTORC1 inhibitors would have better success in prevention or treatment in people. It is also noteworthy that the use of mTOR inhibitors in diseases not associated with aging is increasingly wide spread (summarized in (Johnson et al., 2013b).
Where to from here?
In a recent review published in Cell, López et al., a paper titled: “Hallmarks of aging: An expanding universe” (López-Otín et al., 2022). They proposed 12 hallmarks of aging and three of health. We submit that chronic rapamycin (and diet restriction) likely mitigates the former and promotes the latter. If true, this bodes well for an extremely exciting future for research deeper into mTOR system in aging and its diseases.
We end with our selection for the most interesting question in aging research. It is, will synthetic organism age? This is related to the deeper question, is life possible without aging? More relevant to this article, Figure 4 illustrates our view of the present and future as it relates more specifically to mTOR modulators and the future of aging prevention.
Figure 4.
Aging, represented by the black box, is one of if not the hardest problems in biology. We do know it causes or at least contributes to a wide variety of late adult stage diseases. Rapamycin has variable effects on these diseases. The left panel shows some that it helps (green arrows) and others it hurts (red arrows). It appears to have both good and (not so) bad effects on the immune system (gold arrow) and might be better termed an immune modulator (Kolosova et al., 2013). This indicates that, while rapamycin might be an effective approach for translational gerontology, each patient will need to be evaluated considering these differential effects. In the right panel, we envision the future where we begin to have a window into the black box of aging and turn all the arrows green, meaning that knowledge of how rapamycin effects aging will lead to new therapies (perhaps combinatorial) which will further improve overall heal span in people. This will also probably coincide with mitigation of the 12 hallmarks of aging proposed by López et al. (López-Otín et al., 2022).
Supplementary Material
References:
- Aylett CHS, Sauer E, Imseng S, Boehringer D, Hall MN, Ban N, Maier T, 2016. Architecture of human mTOR complex 1. Science (New York, N.Y.) 351, 48–52. 10.1126/science.aaa3870 [DOI] [PubMed] [Google Scholar]
- Barbet NC, Schneider U, Helliwell SB, Stansfield I, Tuite MF, Hall MN, 1996. TOR controls translation initiation and early G1 progression in yeast. Molecular biology of the cell 7, 25–42. 10.1091/mbc.E12-03-0189 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bar-Peled L, Sabatini DM, 2014. Regulation of mTORC1 by amino acids. Trends in Cell Biology 24, 400–406. 10.1016/j.tcb.2014.03.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Betz C, Hall MN, 2013. Where is mTOR and what is it doing there? Journal of Cell Biology 203, 563–574. 10.1083/jcb.201306041 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Brown EJ, Albers MW, Shin TB, Ichikawa K, Keith CT, Lane WS, Schreiber SL, 1994. A mammalian protein targeted by G1-arresting rapamycin-receptor complex. Nature 369, 756–758. 10.1038/369756a0 [DOI] [PubMed] [Google Scholar]
- Chiu MI, Katz H, Berlin V, 1994. RAPT1, a mammalian homolog of yeast Tor, interacts with the FKBP12/rapamycin complex. Proceedings of the National Academy of Sciences of the United States of America 91, 12574–12578. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Christy B, Demaria M, Campisi J, Huang J, Jones D, Dodds SG, Williams C, Hubbard G, Livi CB, Gao X, Weintraub S, Curiel T, Sharp ZD, Hasty P, 2015. p53 and rapamycin are additive. Oncotarget 6, 15802–13. 10.18632/oncotarget.4602 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cornu M, Albert V, Hall MN, 2013. MTOR in aging, metabolism, and cancer. Current Opinion in Genetics and Development 23, 53–62. 10.1016/j.gde.2012.12.005 [DOI] [PubMed] [Google Scholar]
- Dibble CC, Manning BD, 2013. Signal integration by mTORC1 coordinates nutrient input with biosynthetic output. Nature cell biology 15, 555–64. 10.1038/ncb2763 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dodds SG, Livi CB, Parihar M, Hsu H-K, Benavides AD, Morris J, Javors M, Strong R, Christy B, Hasty P, Sharp ZD, 2016. Adaptations to chronic rapamycin in mice. Pathobiology of aging & age related diseases 6, 31688–31688. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ehninger D, Neff F, Xie K, 2014. Longevity, aging and rapamycin. Cellular and Molecular Life Sciences. 10.1007/s00018-014-1677-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fischer KE, Gelfond JAL, Soto VY, Han C, Someya S, Richardson A, Austad SN, 2015. Health Effects of Long-Term Rapamycin Treatment: The Impact on Mouse Health of Enteric Rapamycin Treatment from Four Months of Age throughout Life. PloS one 10, e0126644–e0126644. 10.1371/journal.pone.0126644 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Flurkey K, Papaconstantinou J, Miller RA, Harrison DE, 2001. Lifespan extension and delayed immune and collagen aging in mutant mice with defects in growth hormone production. Proc Natl Acad Sci U S A 98, 6736–6741. 10.1073/pnas.111158898 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Foster D. a., 2013. Phosphatidic acid and lipid-sensing by mTOR. Trends in Endocrinology and Metabolism 24, 272–278. 10.1016/j.tem.2013.02.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Frei IC, Weissenberger D, Ritz D, Heusermann W, Colombi M, Shimobayashi M, Hall MN, 2022. Adipose mTORC2 is essential for sensory innervation in white adipose tissue and whole-body energy homeostasis. Mol Metab 65, 101580. 10.1016/j.molmet.2022.101580 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Go Y-M, Zhang J, Fernandes J, Litwin C, Chen R, Wensel TG, Jones DP, Cai J, Chen Y, 2020. MTOR-initiated metabolic switch and degeneration in the retinal pigment epithelium. FASEB J 34, 12502–12520. 10.1096/fj.202000612R [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hall MN, 2013. On mTOR nomenclature. Biochemical Society transactions 41, 887–8. 10.1042/BST20130092 [DOI] [PubMed] [Google Scholar]
- Harrison DE, Strong R, Sharp ZD, Nelson JF, Astle CM, Flurkey K, Nadon NL, Wilkinson JE, Frenkel K, Carter CS, Pahor M, Javors M. a, Fernandez E, Miller R. a, 2009. Rapamycin fed late in life extends lifespan in genetically heterogeneous mice. Nature 460, 392–395. 10.1016/S1073-5437(10)79498-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hasty P, Livi CB, Dodds SG, Jones D, Strong R, Javors M, Fischer KE, Sloane L, Murthy K, Hubbard G, Sun L, Hurez V, Curiel TJ, Sharp ZD, 2014. eRapa restores a normal life span in a FAP mouse model. Cancer Prevention Research 7, 169–178. 10.1158/1940-6207.CAPR-13-0299 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Heitman J, Movva NR, Hall MN, 1991. Targets for cell cycle arrest by the immunosuppressant rapamycin in yeast. Science (New York, N.Y.) 253, 905–909. 10.1126/science.1715094 [DOI] [PubMed] [Google Scholar]
- Huang J, Gu S, Chen M, Zhang S-J, Jiang Z, Chen X, Jiang C, Liu G, Radu RA, Sun X, Vollrath D, Du J, Yan B, Zhao C, 2019. Abnormal mTORC1 signaling leads to retinal pigment epithelium degeneration. Theranostics 9, 1170–1180. 10.7150/thno.26281 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Huang K, Fingar DC, 2014. Seminars in Cell & Developmental Biology Growing knowledge of the mTOR signaling network. Seminars in Cell and Developmental Biology 36, 79–90. 10.1016/j.semcdb.2014.09.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jewell JL, Guan KL, 2013. Nutrient signaling to mTOR and cell growth. Trends in Biochemical Sciences 38, 233–242. 10.1016/j.tibs.2013.01.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- John F, Roffler S, Wicker T, Ringli C, 2011. Plant TOR signaling components. Plant Signaling & Behavior 6, 1700–1705. 10.4161/psb.6.11.17662 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Johnson SC, Martin GM, Rabinovitch PS, Kaeberlein M, 2013a. Preserving youth: does rapamycin deliver? Science translational medicine 5, 211fs40–211fs40. 10.1126/scitranslmed.3007316 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Johnson SC, Rabinovitch PS, Kaeberlein M, 2013b. mTOR is a key modulator of ageing and age-related disease. Nature 493, 338–45. 10.1038/nature11861 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kaur G, Tan LX, Rathnasamy G, La Cunza N, Germer CJ, Toops KA, Fernandes M, Blenkinsop TA, Lakkaraju A, 2018. Aberrant early endosome biogenesis mediates complement activation in the retinal pigment epithelium in models of macular degeneration. Proc Natl Acad Sci U S A 115, 9014–9019. 10.1073/pnas.1805039115 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kida T, Oku H, Osuka S, Horie T, Ikeda T, 2021. Hyperglycemia-induced VEGF and ROS production in retinal cells is inhibited by the mTOR inhibitor, rapamycin. Sci Rep 11, 1885. 10.1038/s41598-021-81482-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Knoll G. a., Kokolo MB, Mallick R, Beck a., Buenaventura CD, Ducharme R, Barsoum R, Bernasconi C, Blydt-Hansen TD, Ekberg H, Felipe CR, Firth J, Gallon L, Gelens M, Glotz D, Gossmann J, Guba M, Morsy a. a., Salgo R, Scheuermann EH, Tedesco-Silva H, Vitko S, Watson C, Fergusson D. a., 2014. Effect of sirolimus on malignancy and survival after kidney transplantation: systematic review and meta-analysis of individual patient data. Bmj 349, g6679–g6679. 10.1136/bmj.g6679 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Knutson BA, 2010. Insights into the domain and repeat architecture of target of rapamycin. Journal of structural biology 170, 354–363. 10.1016/j.jsb.2010.01.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kolosova NG, Vitovtov AO, Muraleva N. a., Akulov AE, Stefanova N. a., Blagosklonny MV, 2013. Rapamycin suppresses brain aging in senescence-accelerated OXYS rats. Aging 5, 474–484. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lamming DW, Mihaylova MM, Katajisto P, Baar EL, Yilmaz OH, Hutchins A, Gultekin Y, Gaither R, Sabatini DM, 2014. Depletion of Rictor, an essential protein component of mTORC2, decreases male lifespan. Aging Cell 13, 911–917. 10.1111/acel.12256 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Laplante M, Sabatini DM, 2012. MTOR signaling in growth control and disease. Cell 149, 274–293. 10.1016/j.cell.2012.03.017 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Livi CB, Hardman RL, Christy B. a., Dodds SG, Jones D, Williams C, Strong R, Bokov A, Javors M. a., Ikeno Y, Hubbard G, Hasty P, Sharp ZD, 2013. Rapamycin extends life span of Rb1+/− mice by inhibiting neuroendocrine tumors. Aging 5, 100–110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- López-Otín C, Blasco MA, Partridge L, Serrano M, Kroemer G, 2022. Hallmarks of aging: An expanding universe. Cell S0092-8674(22)01377-0. 10.1016/j.cell.2022.11.001 [DOI] [PubMed] [Google Scholar]
- Mazumdar A, Tahaney WM, Hill JL, Zhang Y, Ramachandran S, Kawedia J, Qian J, Contreras A, Savage MI, Vornik LA, Sei S, Mohammed A, Brown PH, 2022. Targeting the mTOR Pathway for the Prevention of ER-negative Breast Cancer. Cancer Prev Res (Phila) CAPR-22-0106. 10.1158/1940-6207.CAPR-22-0106 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Miller RA, Harrison DE, Astle CM, Fernandez E, Flurkey K, Han M, Javors MA, Li X, Nadon NL, Nelson JF, Pletcher S, Salmon AB, Sharp ZD, Van Roekel S, Winkleman L, Strong R, 2014. Rapamycin-mediated lifespan increase in mice is dose and sex dependent and metabolically distinct from dietary restriction. Aging cell 13, 468–77. 10.1111/acel.12194 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nadon NL, Strong R, Miller R. a., Nelson J, Javors M, Sharp ZD, Peralba JM, Harrison DE, 2008. Design of aging intervention studies: The NIA interventions testing program. Age 30, 187–199. 10.1007/s11357-008-9048-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Neff F, Flores-dominguez D, Ryan DP, Horsch M, Schroder S, Adler T, Afonso LC, Aguilar-pimentel JA, Becker L, Garrett L, Hans W, Hettich MM, Holtmeier R, Hotter SM, Moreth K, Prehn C, Puk O, Rathkolb B, Rozman J, Naton B, Ordemann R, Adamski J, Beckers J, Bekeredjian R, Busch DH, Ehninger G, Graw J, Hofler H, Klingenspor M, Klopstock T, Ollert M, Stypmann J, Wolf E, Wurst W, Zimmer A, Fuchs H, Gailus-durner V, Angelis M.H. De, Ehninger D, 2013. Rapamycin extends murine lifespan but has limited effects on aging. Journal of Clinical Investigation 123, 1–2. 10.1172/JCI67674DS1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ochocki JD, Simon MC, 2013. Nutrient-sensing pathways and metabolic regulation in stem cells. Journal of Cell Biology 203, 23–33. 10.1083/jcb.201303110 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Parihar M, Dodds SG, Hubbard G, Javors MA, Strong R, Hasty P, Sharp ZD, 2021. Rapamycin Extends Life Span in Apc(Min/+) Colon Cancer FAP Model. Clin Colorectal Cancer 20, e61–e70. 10.1016/j.clcc.2020.08.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Parihar M, Dodds SG, Javors MA, Strong R, Hasty P, Sharp ZD, 2020. Sex-dependent lifespan extension of ApcMin/+ FAP mice by chronic mTOR inhibition. Aging Pathology and Therapeutics 2, 187–94. 10.31491/APT.2020.12.039 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Petrou PA, Cunningham D, Shimel K, Harrington M, Hammel K, Cukras CA, Ferris FL, Chew EY, Wong WT, 2014. Intravitreal sirolimus for the treatment of geographic atrophy: results of a phase I/II clinical trial. Invest Ophthalmol Vis Sci 56, 330–338. 10.1167/iovs.14-15877 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rexin D, Meyer C, Robaglia C, Veit B, 2015. TOR signalling in plants. Biochemical Journal 470, 1–14. 10.1042/BJ20150505 [DOI] [PubMed] [Google Scholar]
- Sabatini DM, Erdjument-Bromage H, Lui M, Tempst P, Snyder SH, 1994. RAFT1: A mammalian protein that binds to FKBP12 in a rapamycin-dependent fashion and is homologous to yeast TORs. Cell 78, 35–43. 10.1016/0092-8674(94)90570-3 [DOI] [PubMed] [Google Scholar]
- Salgo R, Gossmann J, Schöfer H, Kachel HG, Kuck J, Geiger H, Kaufmann R, Scheuermann EH, 2010. Switch to a sirolimus-based immunosuppression in long-term renal transplant recipients: Reduced rate of (pre-)malignancies and nonmelanoma skin cancer in a prospective, randomized, assessor-blinded, controlled clinical trial. American Journal of Transplantation 10, 1385–1393. 10.1111/j.1600-6143.2009.02997.x [DOI] [PubMed] [Google Scholar]
- Sataranatarajan K, Ikeno Y, Bokov A, Feliers D, Yalamanchili H, Lee HJ, Mariappan MM, Tabatabai-Mir H, Diaz V, Prasad S, Javors MA, Ghosh Choudhury G, Hubbard GB, Barnes JL, Richardson A, Kasinath BS, 2015. Rapamycin Increases Mortality in db/db Mice, a Mouse Model of Type 2 Diabetes. The journals of gerontology. Series A, Biological sciences and medical sciences. 10.1093/gerona/glv170 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sharp ZD, 2017. mTOR, Aging and Cancer: Prospects for Pharmacological Interventions, in: Vaiserman Alexander (Ed.), Anti-Aging Drugs: From Basic Research to Clinical Practice., RSC Drug Discovery #57. Royal Society of Chemistry, Croydon, CRO 4YY, UK, pp. 376–387. [Google Scholar]
- Sharp ZD, Bartke A, 2005. Evidence for down-regulation of phosphoinositide 3-kinase/Akt/mammalian target of rapamycin (PI3K/Akt/mTOR)-dependent translation regulatory signaling pathways in Ames dwarf mice. The journals of gerontology. Series A, Biological sciences and medical sciences 60, 293–300. [DOI] [PubMed] [Google Scholar]
- Sharp ZD, Lee WH, Nikitin AY, Flesken-Nikitin A, Ikeno Y, Reddick R, Richardson AG, Nelson JF, 2003. Minimal effects of dietary restriction on neuroendocrine carcinogenesis in Rb+/− mice. Carcinogenesis 24, 179–183. 10.1093/carcin/24.2.179 [DOI] [PubMed] [Google Scholar]
- Sharp ZD, Strong R, 2010. The role of mTOR signaling in controlling mammalian life span: what a fungicide teaches us about longevity. J Gerontol A Biol Sci Med Sci 65, 580–589. 10.1093/gerona/glp212 [DOI] [PubMed] [Google Scholar]
- Smerdon SJ, 2014. A year in structural signaling: mTOR--the PIKK of the bunch? Science signaling 7, pe6. 10.1126/scisignal.2005174 [DOI] [PubMed] [Google Scholar]
- Stickland NC, Crook AR, Sutton CM, 1994. Effects of pituitary dwarfism in the mouse on fast and slow skeletal muscles. Acta Anat (Basel) 151, 245–249. 10.1159/000147670 [DOI] [PubMed] [Google Scholar]
- Wilkinson JE, Burmeister L, Brooks SV, Chan CC, Friedline S, Harrison DE, Hejtmancik JF, Nadon N, Strong R, Wood LK, Woodward M. a., Miller R. a., 2012. Rapamycin slows aging in mice. Aging Cell 11, 675–682. 10.1111/j.1474-9726.2012.00832.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhang M, Jiang N, Chu Y, Postnikova O, Varghese R, Horvath A, Cheema AK, Golestaneh N, 2020. Dysregulated metabolic pathways in age-related macular degeneration. Sci Rep 10, 2464–2464. 10.1038/s41598-020-59244-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhang Y, Bokov A, Gelfond J, Soto V, Ikeno Y, Hubbard G, Diaz V, Sloane L, Maslin K, Treaster S, Réndon S, Van Remmen H, Ward W, Javors M, Richardson A, Austad SN, Fischer K, 2014. Rapamycin extends life and health in C57BL/6 mice. Journals of Gerontology - Series A Biological Sciences and Medical Sciences 69 A, 119–130. 10.1093/gerona/glt056 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhao C, Yasumura D, Li X, Matthes M, Lloyd M, Nielsen G, Ahern K, Snyder M, Bok D, Dunaief JL, LaVail MM, Vollrath D, 2011. mTOR-mediated dedifferentiation of the retinal pigment epithelium initiates photoreceptor degeneration in mice. J Clin Invest 121, 369–383. 10.1172/JCI44303 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zigler JSJ, Zhang C, Grebe R, Sehrawat G, Hackler LJ, Adhya S, Hose S, McLeod DS, Bhutto I, Barbour W, Parthasarathy G, Zack DJ, Sergeev Y, Lutty GA, Handa JT, Sinha D, 2011. Mutation in the βA3/A1-crystallin gene impairs phagosome degradation in the retinal pigmented epithelium of the rat. J Cell Sci 124, 523–531. 10.1242/jcs.078790 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.