Literature DB >> 22184281

Conserved role of medium acidification in chronological senescence of yeast and mammalian cells.

Paola Fabrizio1, Min Wei.   

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Year:  2011        PMID: 22184281      PMCID: PMC3276382          DOI: 10.18632/aging.100412

Source DB:  PubMed          Journal:  Aging (Albany NY)        ISSN: 1945-4589            Impact factor:   5.682


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The yeast chronological life span (CLS) model has led to the identification of the pro-aging effects of the TOR-Sch9 /S6K and Ras-Adenylate cyclase-PKA pathways, components of which play conserved role in nutrient sensing and aging in mammals [1-4]. One of the early changes that occurs in yeast cells grown in media containing 2% glucose and excess amino acids is the production of acetic acid and acidification of the medium to below pH 4. This acidification has been shown to accelerate yeast aging [5-9]. However, it is clear that it does not explain the effect of the TOR-Sch9/S6K and Ras-AC-PKA pathways on aging since their inhibition extends chronological life span in media that is not acidified and that does not contain acetic acid [10]. The assumption that acetic acid is an organic toxin, which is the key mediator of chronological aging under standard conditions, is probably not true for most genetic backgrounds, since under physiological conditions acetic acid is generated at low levels compared to another metabolite, ethanol [6-7, 11]. Additionally, acetic acid, in spite of its potential toxicity, represents one among several carbon sources that can be utilized by Saccharomyces cerevisiae for growth and metabolism [12-15]. In previous issue of Aging, Leontieva and Blagosklonny describe a yeast-like chronological senescence (CS) model in mammalian cells (Leontieva and Blagosklonny). They show that human tumor cells maintained in stationary culture lose their viability (colony forming units) and that this process is accelerated by medium acidification caused in part by lactate accumulation, which mirrors the accumulation of ethanol and some acetic acid, and the acidification of the medium in S. cerevisiae [5-7, 9]. In yeast, the ethanol accumulated during the growth phase can be used as carbon source during the diauxic shift and the post-diauxic phase, when cells stop dividing and switch from a fermentation- to a respiration-based metabolism [5, 16-17]. Long-lived mutants with deficiencies in the TOR- Sch9/S6K and Ras-AC-PKA pathways deplete ethanol, show a reduced accumulation of extracellular acetic acid [6, 11](M. Wei unpublished results) as well as activate glycerol biosynthesis [11]. As opposed to glucose and ethanol and, possibly, acetic acid, glycerol does not elicit adverse effects on cellular protection and life span suggesting that the Tor1/Sch9-regulated glycerol biosynthesis results in the removal of pro-aging carbon sources [11]. Leontieva and Blagosklonny show that the “yeast-like” chronological senescence in mammalian cells is delayed and attenuated by the inhibition of the mTOR and PI3K signaling pathways, both of which have been implicated in longevity regulation in organisms ranging from yeast to mice. Conditioned medium produced by rapamycin-treated cells was less toxic in inducing CS. However, the addition of rapamycin did not protect fibrosarcoma cells from high concentration of lactate suggesting that rapamycin did not protect cells from CS per se. Rather, inhibition of mTOR affected cellular metabolism and inhibited lactate production during the early phase of stationary survival, which led to a reduced initial lactate accumulation and delayed CS (Leontieva and Blagosklonny). Interestingly, mTOR was spontaneously inactivated after one day in culture, possibly a protective response to lactate accumulation and medium acidification. These results suggest that mTOR promotes CS by favoring lactate production and medium acidification in agreement with the role for TOR-Sch9/S6K in promoting ethanol and acetic acid accumulation in yeast [5, 11, 18]. By contrast, the deletion of either TOR1 or SCH9/S6K are known to extend yeast chronological life span in part by depleting ethanol and acetic acid but largely by mechanisms that are cell autonomous [10-11, 19-21]. It has been argued that acidification of the culture medium and the accumulation of non-fermentable carbon sources such as ethanol and acetic acid render the CLS a paradigm for the identification of “private” mechanisms specific for yeast chronological aging [7, 22-23]. However, not only the yeast CLS method has been remarkably effective in discovering genes later shown to promote aging in mammals [4], it has also revealed the multi-factorial nature of yeast chronological senescence and points to the involvement of diverse cellular processes, such as mitochondrial respiration, reactive oxygen species signaling [1, 19, 24-27], stress response [3, 10, 28], autophagy [29-30], and genome maintenance, in the regulation of life span [31-35]. Although, accumulation of toxic metabolic byproducts may not represent a mechanism of aging in yeast [5-8] or mammalian cells (Leontieva and Blagosklonny [36]), chronological senescence provides a simple model for probing the roles of genes and signaling pathways that affect aging and a powerful platform for high-throughput screening of agents that modulate aging and age-related disease progression.
  36 in total

1.  Biosynthesis of branched-chain amino acids in yeast: effect of carbon source on leucine biosynthetic enzymes.

Authors:  H D Brown; T Satyanarayana; H E Umbarger
Journal:  J Bacteriol       Date:  1975-03       Impact factor: 3.490

2.  Regulation of yeast chronological life span by TORC1 via adaptive mitochondrial ROS signaling.

Authors:  Yong Pan; Elizabeth A Schroeder; Alejandro Ocampo; Antoni Barrientos; Gerald S Shadel
Journal:  Cell Metab       Date:  2011-06-08       Impact factor: 27.287

3.  Mitochondrial dysfunction leads to reduced chronological lifespan and increased apoptosis in yeast.

Authors:  An M Aerts; Piotr Zabrocki; Gilmer Govaert; Janick Mathys; Didac Carmona-Gutierrez; Frank Madeo; Joris Winderickx; Bruno P A Cammue; Karin Thevissen
Journal:  FEBS Lett       Date:  2008-12-04       Impact factor: 4.124

4.  Superoxide is a mediator of an altruistic aging program in Saccharomyces cerevisiae.

Authors:  Paola Fabrizio; Luisa Battistella; Raffaello Vardavas; Cristina Gattazzo; Lee-Loung Liou; Alberto Diaspro; Janis W Dossen; Edith Butler Gralla; Valter D Longo
Journal:  J Cell Biol       Date:  2004-09-27       Impact factor: 10.539

5.  Effect of calorie restriction on the metabolic history of chronologically aging yeast.

Authors:  Alexander A Goldberg; Simon D Bourque; Pavlo Kyryakov; Christopher Gregg; Tatiana Boukh-Viner; Adam Beach; Michelle T Burstein; Gayane Machkalyan; Vincent Richard; Sonia Rampersad; David Cyr; Svetlana Milijevic; Vladimir I Titorenko
Journal:  Exp Gerontol       Date:  2009-06-17       Impact factor: 4.032

6.  Induction of autophagy by spermidine promotes longevity.

Authors:  Tobias Eisenberg; Heide Knauer; Alexandra Schauer; Sabrina Büttner; Christoph Ruckenstuhl; Didac Carmona-Gutierrez; Julia Ring; Sabrina Schroeder; Christoph Magnes; Lucia Antonacci; Heike Fussi; Luiza Deszcz; Regina Hartl; Elisabeth Schraml; Alfredo Criollo; Evgenia Megalou; Daniela Weiskopf; Peter Laun; Gino Heeren; Michael Breitenbach; Beatrix Grubeck-Loebenstein; Eva Herker; Birthe Fahrenkrog; Kai-Uwe Fröhlich; Frank Sinner; Nektarios Tavernarakis; Nadege Minois; Guido Kroemer; Frank Madeo
Journal:  Nat Cell Biol       Date:  2009-10-04       Impact factor: 28.824

Review 7.  Stationary phase in Saccharomyces cerevisiae.

Authors:  M Werner-Washburne; E L Braun; M E Crawford; V M Peck
Journal:  Mol Microbiol       Date:  1996-03       Impact factor: 3.501

8.  Chronological aging leads to apoptosis in yeast.

Authors:  Eva Herker; Helmut Jungwirth; Katharina A Lehmann; Corinna Maldener; Kai-Uwe Fröhlich; Silke Wissing; Sabrina Büttner; Markus Fehr; Stephan Sigrist; Frank Madeo
Journal:  J Cell Biol       Date:  2004-02-16       Impact factor: 10.539

9.  Longevity mutation in SCH9 prevents recombination errors and premature genomic instability in a Werner/Bloom model system.

Authors:  Federica Madia; Cristina Gattazzo; Min Wei; Paola Fabrizio; William C Burhans; Martin Weinberger; Abdoulaye Galbani; Jesse R Smith; Christopher Nguyen; Selina Huey; Lucio Comai; Valter D Longo
Journal:  J Cell Biol       Date:  2008-01-14       Impact factor: 10.539

10.  Genomic instability is associated with natural life span variation in Saccharomyces cerevisiae.

Authors:  Hong Qin; Meng Lu; David S Goldfarb
Journal:  PLoS One       Date:  2008-07-16       Impact factor: 3.240

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  15 in total

1.  pH neutralization protects against reduction in replicative lifespan following chronological aging in yeast.

Authors:  Christopher Murakami; Joe R Delaney; Annie Chou; Daniel Carr; Jennifer Schleit; George L Sutphin; Elroy H An; Anthony S Castanza; Marissa Fletcher; Sarani Goswami; Sean Higgins; Mollie Holmberg; Jessica Hui; Monika Jelic; Ki-Soo Jeong; Jin R Kim; Shannon Klum; Eric Liao; Michael S Lin; Winston Lo; Hillary Miller; Richard Moller; Zhao J Peng; Tom Pollard; Prarthana Pradeep; Dillon Pruett; Dilreet Rai; Vanessa Ros; Alex Schuster; Minnie Singh; Benjamin L Spector; Helen Vander Wende; Adrienne M Wang; Brian M Wasko; Brady Olsen; Matt Kaeberlein
Journal:  Cell Cycle       Date:  2012-08-08       Impact factor: 4.534

2.  Gene-nutrient interaction markedly influences yeast chronological lifespan.

Authors:  Daniel L Smith; Crystal H Maharrey; Christopher R Carey; Richard A White; John L Hartman
Journal:  Exp Gerontol       Date:  2016-04-25       Impact factor: 4.032

3.  Cellular environment controls the dynamics of histone H3 lysine 56 acetylation in response to DNA damage in mammalian cells.

Authors:  Raghavendra Vadla; Nirupama Chatterjee; Devyani Haldar
Journal:  J Biosci       Date:  2020       Impact factor: 1.826

4.  High-resolution yeast quiescence profiling in human-like media reveals complex influences of auxotrophy and nutrient availability.

Authors:  Sean M Santos; Samantha Laflin; Audrie Broadway; Cosby Burnet; Joline Hartheimer; John Rodgers; Daniel L Smith; John L Hartman
Journal:  Geroscience       Date:  2020-10-05       Impact factor: 7.713

5.  Alzheimer's disease promotion by obesity: induced mechanisms-molecular links and perspectives.

Authors:  Rita Businaro; Flora Ippoliti; Serafino Ricci; Nicoletta Canitano; Andrea Fuso
Journal:  Curr Gerontol Geriatr Res       Date:  2012-06-04

Review 6.  Answering the ultimate question "what is the proximal cause of aging?".

Authors:  Mikhail V Blagosklonny
Journal:  Aging (Albany NY)       Date:  2012-12       Impact factor: 5.682

7.  Macromitophagy is a longevity assurance process that in chronologically aging yeast limited in calorie supply sustains functional mitochondria and maintains cellular lipid homeostasis.

Authors:  Vincent R Richard; Anna Leonov; Adam Beach; Michelle T Burstein; Olivia Koupaki; Alejandra Gomez-Perez; Sean Levy; Lukas Pluska; Sevan Mattie; Rami Rafesh; Tatiana Iouk; Sara Sheibani; Michael Greenwood; Hojatollah Vali; Vladimir I Titorenko
Journal:  Aging (Albany NY)       Date:  2013-04       Impact factor: 5.682

Review 8.  Advances in targeting signal transduction pathways.

Authors:  James A McCubrey; Linda S Steelman; William H Chappell; Lin Sun; Nicole M Davis; Stephen L Abrams; Richard A Franklin; Lucio Cocco; Camilla Evangelisti; Francesca Chiarini; Alberto M Martelli; Massimo Libra; Saverio Candido; Giovanni Ligresti; Grazia Malaponte; Maria C Mazzarino; Paolo Fagone; Marco Donia; Ferdinando Nicoletti; Jerry Polesel; Renato Talamini; Jörg Bäsecke; Sanja Mijatovic; Danijela Maksimovic-Ivanic; Michele Michele; Agostino Tafuri; Joanna Dulińska-Litewka; Piotr Laidler; Antonio B D'Assoro; Lyudmyla Drobot; Drobot Umezawa; Giuseppe Montalto; Melchiorre Cervello; Zoya N Demidenko
Journal:  Oncotarget       Date:  2012-12

9.  M(o)TOR of aging: MTOR as a universal molecular hypothalamus.

Authors:  Mikhail V Blagosklonny
Journal:  Aging (Albany NY)       Date:  2013-07       Impact factor: 5.682

Review 10.  Aging is not programmed: genetic pseudo-program is a shadow of developmental growth.

Authors:  Mikhail V Blagosklonny
Journal:  Cell Cycle       Date:  2013-11-15       Impact factor: 4.534

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