2020
DOI: 10.3390/biom10060882
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Insights into the Conserved Regulatory Mechanisms of Human and Yeast Aging

Abstract: Aging represents a significant biological process having strong associations with cancer, diabetes, and neurodegenerative and cardiovascular disorders, which leads to progressive loss of cellular functions and viability. Astonishingly, age-related disorders share several genetic and molecular mechanisms with the normal aging process. Over the last three decades, budding yeast Saccharomyces cerevisiae has emerged as a powerful yet simple model organism for aging research. Genetic approaches using yeast RLS have… Show more

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Cited by 23 publications
(17 citation statements)
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References 195 publications
(214 reference statements)
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“…As previous results demonstrated, the deletion of yPDE2 decreases the lifespan of the cell [4,16]. However, this pharmacological reversible inhibition seems to increase the lifespan, perhaps any internal yPDE2 up-down regulation [34] or due to the multitasking and different targets of RSV such as Sir2, which also affects lifespan [5,20]. In addition, this is the first time that roflumilast, a common PDE4 inhibitor drug for chronic obstructive pulmonary disease has been studied in lifespan studies although the use of roflumilast to mimic CR has been tested successfully previously [22].…”
Section: In Vivo Lifespan Studies With S Cerevisiaementioning
confidence: 76%
See 1 more Smart Citation
“…As previous results demonstrated, the deletion of yPDE2 decreases the lifespan of the cell [4,16]. However, this pharmacological reversible inhibition seems to increase the lifespan, perhaps any internal yPDE2 up-down regulation [34] or due to the multitasking and different targets of RSV such as Sir2, which also affects lifespan [5,20]. In addition, this is the first time that roflumilast, a common PDE4 inhibitor drug for chronic obstructive pulmonary disease has been studied in lifespan studies although the use of roflumilast to mimic CR has been tested successfully previously [22].…”
Section: In Vivo Lifespan Studies With S Cerevisiaementioning
confidence: 76%
“…Although this pathway has been studied in several animal models, Saccharomyces cerevisiae is one of the most useful models since it is easy to handle and they present several pathways conserved from multicellular eukaryotes [ 1 ]. Although there are different ways to manage lifespan [ 3 ], the cAMP-PKA signaling mechanism is one of the keys [ 4 , 5 ]. In CR, some molecules and conditions modulate PKA [ 1 , 6 ] by increasing cAMP levels ( Figure 1 A) suggesting phosphodiesterases (PDEs)—enzymes that convert cAMP into AMP—as possible targets to promote a CR response.…”
Section: Introductionmentioning
confidence: 99%
“…However, iron accumulates in the tissues with increasing age, pointing towards the incompetence of iron regulatory mechanisms that prevent abnormal redox cycling of iron, such as the Fe 2+ -glutathione complexes [54]. Moreover, this phenomenon of iron accumulation with aging is conserved and represents a remote consensus for susceptibility in late stages of life in many organisms including drosophila, nematodes, mammals, and humans [55][56][57][58]. Research is going on to prove the susceptibility of aged animals to ferroptotic death due to agerelated increment of labile iron coupled with a reduction of glutathione levels implying that disruption to the iron-glutathione axis is fundamental to natural aging and death.…”
Section: Iron Accumulation With Aging Is a Conserved Phenomenonmentioning
confidence: 99%
“…The budding yeast, S. cerevisiae , has been an excellent model for aging and lifespan-related studies. Both RLS (the number of daughter cells generated by a mother cell before replicative senescence) and CLS (the survival time of a yeast cell in non-dividing condition) have already been defined, and molecular mechanisms involved in the yeast lifespan have been investigated in details [ 9 , 10 ] . So far, several genes identified in yeast have been shown to be able to modulate the aging process through different mechanisms [ 11 , 12 ] .…”
Section: Introductionmentioning
confidence: 99%