Journal
CELLS
Volume 11, Issue 9, Pages -Publisher
MDPI
DOI: 10.3390/cells11091568
Keywords
Drosophila melanogaster; Caenorhabditis elegans; mouse; yeast; translation; transcriptome; proteome; metabolome; TORC1; IGF-1; GWAS; EWAS
Categories
Funding
- Royal Society [RGSnR1n 201348]
- BBSRC [BB/V006916/1]
- MRC [MR/W001462/1]
- BBSRC [BB/V006916/1] Funding Source: UKRI
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Cellular and animal models have played a crucial role in understanding the relationship between diet, nutrient-response signaling pathways, and lifespan regulation. Recent advancements in drug treatments, mutagenesis, and high-throughput screens have provided valuable insights into cellular metabolism, development, and aging. Scientists are now focusing on characterizing growth and stress pathways to identify interventions for healthy aging and age-related diseases.
Cellular, small invertebrate and vertebrate models are a driving force in biogerontology studies. Using various models, such as yeasts, appropriate tissue culture cells, Drosophila, the nematode Caenorhabditis elegans and the mouse, has tremendously increased our knowledge around the relationship between diet, nutrient-response signaling pathways and lifespan regulation. In recent years, combinatorial drug treatments combined with mutagenesis, high-throughput screens, as well as multi-omics approaches, have provided unprecedented insights in cellular metabolism, development, differentiation, and aging. Scientists are, therefore, moving towards characterizing the fine architecture and cross-talks of growth and stress pathways towards identifying possible interventions that could lead to healthy aging and the amelioration of age-related diseases in humans. In this short review, we briefly examine recently uncovered knowledge around nutrient-response pathways, such as the Insulin Growth Factor (IGF) and the mechanistic Target of Rapamycin signaling pathways, as well as specific GWAS and some EWAS studies on lifespan and age-related disease that have enhanced our current understanding within the aging and biogerontology fields. We discuss what is learned from the rich and diverse generated data, as well as challenges and next frontiers in these scientific disciplines.
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