Undulating changes in human plasma proteome profiles across the lifespan
By B. Lehallier, D. Gate, N. Schaum, T. Nánási, S. Lee, H. Yousef, Patricia Moran Losada, D. Berdnik, Andreas Keller, Joe Verghese and 5 more. Nature Medicine, 2019
815 citations recorded by the source corpus.
Aging is a predominant risk factor for several chronic diseases that limit healthspan1. Mechanisms of aging are thus increasingly recognized as potential therapeutic targets. Blood from young mice reverses aspects of aging and disease across multiple tissues2–10, which supports a hypothesis that age-related molecular changes in blood could provide new insights into age-related disease biology. We measured 2,925 plasma proteins from 4,263 young adults to nonagenarians (18–95 years old) and developed a new bioinformatics approach that uncovered marked non-linear alterations in the human plasma proteome with age. Waves of changes in the proteome in the fourth, seventh and eighth decades of life reflected distinct biological pathways and revealed differential associations with the genome and proteome of age-related diseases and phenotypic traits. This new approach to the study of aging led to the identification of unexpected signatures and pathways that might offer potential targets for age-related diseases. Aptamer-based proteomic analysis of plasma from healthy individuals aged 18–95 years reveals wave-like patterns of protein expression that are associated with age-related diseases and phenotypic traits.
Subfields: Molecular Biology, Spectroscopy
View Paper: https://www.semanticscholar.org/paper/502479eb175356ae84cc7e53e653b1b4cf4d5953
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Citations in the corpus
- Measuring biological age using omics data (2022, background): “For example, Lehallier et al. 95 demonstrated that plasma proteins change in three non-linear ‘waves’ of ageing; similarly, 0123456789();: epigenetic and other molecular features in blood cells 177 or skin 178 change in distinct undulating patterns across the lifespan.”
- Aging amplifies sex differences in low alpha and low beta EEG oscillations (2024, unknown): “A study on fluctuations in human plasma proteomics found that sudden aging occurs at ages 34, 60, and 78 (Lehallier et al., 2019).”