Literature DB >> 26381038

Metabolic Youth in Middle Age: Predicting Aging in Caenorhabditis elegans Using Metabolomics.

Sarah K Davies1, Jacob G Bundy1, Armand M Leroi1.   

Abstract

Many mutations and allelic variants are known that influence the rate at which animals age, but when in life do such variants diverge from normal patterns of aging? Is this divergence visible in their physiologies? To investigate these questions, we have used (1)H NMR spectroscopy to study how the metabolome of the nematode Caenorhabditis elegans changes as it grows older. We identify a series of metabolic changes that, collectively, predict the age of wild-type worms. We then show that long-lived mutant daf-2(m41) worms are metabolically youthful compared to wild-type worms, but that this relative youth only appears in middle age. Finally, we show that metabolic age predicts the timing and magnitude of differences in age-specific mortality between these strains. Thus, the future mortality of these two genotypes can be predicted long before most of the worms die.

Entities:  

Keywords:  daf-2; metabolomics; mortality; trehalose

Mesh:

Substances:

Year:  2015        PMID: 26381038     DOI: 10.1021/acs.jproteome.5b00442

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  12 in total

Review 1.  Quo Vadis Caenorhabditis elegans Metabolomics-A Review of Current Methods and Applications to Explore Metabolism in the Nematode.

Authors:  Liesa Salzer; Michael Witting
Journal:  Metabolites       Date:  2021-04-29

Review 2.  Proteomics and metabolomics in ageing research: from biomarkers to systems biology.

Authors:  Jessica M Hoffman; Yang Lyu; Scott D Pletcher; Daniel E L Promislow
Journal:  Essays Biochem       Date:  2017-07-11       Impact factor: 7.258

3.  Metabolomic signature associated with reproduction-regulated aging in Caenorhabditis elegans.

Authors:  Qin-Li Wan; Xiaohuo Shi; Jiangxin Liu; Ai-Jun Ding; Yuan-Zhu Pu; Zhigang Li; Gui-Sheng Wu; Huai-Rong Luo
Journal:  Aging (Albany NY)       Date:  2017-02-06       Impact factor: 5.682

4.  Remodelling of microRNAs in colorectal cancer by hypoxia alters metabolism profiles and 5-fluorouracil resistance.

Authors:  Anke Nijhuis; Hannah Thompson; Julie Adam; Alexandra Parker; Luke Gammon; Amy Lewis; Jacob G Bundy; Tomoyoshi Soga; Aisha Jalaly; David Propper; Rosemary Jeffery; Nirosha Suraweera; Sarah McDonald; Mohamed A Thaha; Roger Feakins; Robert Lowe; Cleo L Bishop; Andrew Silver
Journal:  Hum Mol Genet       Date:  2017-04-15       Impact factor: 6.150

5.  A window into extreme longevity; the circulating metabolomic signature of the naked mole-rat, a mammal that shows negligible senescence.

Authors:  Kaitlyn N Lewis; Nimrod D Rubinstein; Rochelle Buffenstein
Journal:  Geroscience       Date:  2018-04-20       Impact factor: 7.713

6.  Genetic and metabolomic architecture of variation in diet restriction-mediated lifespan extension in Drosophila.

Authors:  Kelly Jin; Kenneth A Wilson; Jennifer N Beck; Christopher S Nelson; George W Brownridge; Benjamin R Harrison; Danijel Djukovic; Daniel Raftery; Rachel B Brem; Shiqing Yu; Mathias Drton; Ali Shojaie; Pankaj Kapahi; Daniel Promislow
Journal:  PLoS Genet       Date:  2020-07-09       Impact factor: 5.917

Review 7.  Age-dependent changes and biomarkers of aging in Caenorhabditis elegans.

Authors:  Heehwa G Son; Ozlem Altintas; Eun Ji E Kim; Sujeong Kwon; Seung-Jae V Lee
Journal:  Aging Cell       Date:  2019-02-08       Impact factor: 9.304

8.  The whole transcriptome regulation as a function of mitochondrial polymorphisms and aging in Caenorhabditis elegans.

Authors:  Yuanjian Song; Yuechen Wang; Ying Li; Liang Wang; WenDa Zhang; Jing Cheng; Yao Zhu; Haoyu Zhang; Qiang Zhang; Haichen Niu; Yingwei Zheng; Mengyu Liang; Mengqiong Deng; Hao Shi; Hao Wang; Fang Zhang; Zuobin Zhu
Journal:  Aging (Albany NY)       Date:  2020-02-04       Impact factor: 5.682

9.  The Resistance of Drosophila melanogaster to Oxidative, Genotoxic, Proteotoxic, Osmotic Stress, Infection, and Starvation Depends on Age According to the Stress Factor.

Authors:  Alexei A Belyi; Alexey A Alekseev; Alexander Y Fedintsev; Stepan N Balybin; Ekaterina N Proshkina; Mikhail V Shaposhnikov; Alexey A Moskalev
Journal:  Antioxidants (Basel)       Date:  2020-12-07

10.  FOXO/DAF-16 Activation Slows Down Turnover of the Majority of Proteins in C. elegans.

Authors:  Ineke Dhondt; Vladislav A Petyuk; Huaihan Cai; Lieselot Vandemeulebroucke; Andy Vierstraete; Richard D Smith; Geert Depuydt; Bart P Braeckman
Journal:  Cell Rep       Date:  2016-09-13       Impact factor: 9.423

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