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Kaya, A.

Publications and source records attributed to Kaya, A..

3 recordsLinked to original sources

Rapamycin treatment during development extends lifespan and healthspan

The possibility that pace of development is tightly connected to aging is supported by the fact that the onset of reproduction is associated with lifespan and that many longevity interventions target growth and development. However, it has been unknown whether targeting development with pharmacological intervention can lead to a longer lifespan. To test this possibility, we subjected genetically diverse UMHET3 mice to the mTOR inhibitor rapamycin for the first 45 days of life and followed them up until death. Treated mice grew slower, with most of the deceleration occurring in the first week, and remained smaller for their entire lives. Their reproductive age was delayed but without affecting offspring numbers. The treatment was sufficient to extend the median lifespan by 10%, with the most effect in males, and to preserve better health as measured by frailty index, gait speed, and glucose and insulin tolerance tests. Mechanistically, the liver transcriptome of treated mice was younger at the completion of treatment and stayed younger into the old ages in males. Rapamycin initially reduced DNA methylation age of livers, however, that effect was lost with aging. Analogous to mice, rapamycin exposure only during development robustly extended the lifespan of Daphnia magna as well as reduced their body size, suggesting evolutionary conserved mechanisms of this early life effect. Overall, the results demonstrate that short-term rapamycin treatment during early life is a novel longevity intervention that establishes causality between pace of development and longevity in evolutionary distant organisms.

developmental biology↗

Evolution of Natural Lifespan Variation and Molecular Strategies of Extended Lifespan

To understand the genetic basis and selective forces acting on longevity, it is useful to examine lifespan variation among closely related species, or ecologically diverse isolates of the same species, within a controlled environment. In particular, this approach may lead to understanding mechanisms underlying natural variation in lifespan. Here, we analyzed 76 ecologically diverse wild yeast isolates and discovered a wide diversity of replicative lifespan. Phylogenetic analyses pointed to genes and environmental factors that strongly interact to modulate the observed aging patterns. We then identified genetic networks causally associated with natural variation in replicative lifespan across wild yeast isolates, as well as genes, metabolites and pathways, many of which have never been associated with yeast lifespan in laboratory settings. In addition, a combined analysis of lifespan-associated metabolic and transcriptomic changes revealed unique adaptations to interconnected amino acid biosynthesis, glutamate metabolism and mitochondrial function in long-lived strains. Overall, our multi-omic and lifespan analyses across diverse isolates of the same species shows how gene-environment interactions shape cellular processes involved in phenotypic variation such as lifespan.

genetics↗

Specificity of Gβ and γ subunits to SNARE complex both at rest and after α2aadrenergic receptor stimulation

Though much is known about the various physiological functions of each GPCR and the specificity of G subunits, the specificity of G{beta}{gamma} activated by a given GPCR and activating each effector in vivo is not known. Previously, we identified different G{beta} and G{gamma} subunits interacting specifically with 2a-adrenergic receptors (2aAR). In this study, we examined its in vivo specificity to the soluble NSF attachment proteins (SNARE) complex in adrenergic (auto-2aAR) and non-adrenergic (hetero-2aAR) neurons. We applied a quantitative targeted multiple reaction monitoring proteomic analysis of G{beta} and G{gamma} subunits bound to the SNARE complex, and found only a subset of G{beta} and G{gamma} bound. Without stimulation of auto-2aAR, G{beta}1 and G{gamma}3 interacted with the SNARE complex. When auto-2aAR were activated, G{beta}1, G{beta}2, and G{gamma}3 were found. Further understanding of in vivo G{beta}{gamma} specificity to its effectors provides new insights into the multiplicity of genes for G{beta} and G{gamma}. SummarySpecific G{beta}{gamma} dimers interact with the SNARE complex following presynaptic 2aAR activation in both adrenergic and non-adrenergic neurons.

biochemistry↗