Proteomics-based aging clocks in midlife or late-life and their associated risk of dementia.

Sanaz Sedaghat, Saeun Park, Rob F Walker, Shuo Wang, Jialing Liu, Timothy M Hughes, Behnam Sabayan, Weihong Tang, Josef Coresh, James S Pankow, Keenan A Walker, Ramon Casanova, Ruth Dubin, Rajat Deo, Jerome I Rotter, Alexis C Wood, Peter Ganz, Pamela L Lutsey, Weihua Guan, Anna Prizment

Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA. [email protected] of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA. [email protected]. · pubmed

Paper

Abstract

Biological age can be quantified by composite proteomic scores, called proteomics-based aging clocks (PACs). We investigated whether a discrepancy between chronological and biological age in midlife and late-life is associated with cognition and dementia risk.

The following analysis is generated by AI and may contain errors. It is separate from the authors’ abstract and is not peer review.

Research summary

The paper claims that a discrepancy between chronological and biological age in midlife and late-life is associated with cognition and dementia risk. This research is relevant as it explores biological age quantification through proteomics, which may provide insights into the underlying mechanisms of aging and its impact on age-related diseases like dementia.

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