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Articles by Hamilton OH
Publisher Correction: Sleep chart of biological ageing clocks in middle and late life
Correction to: Nature https://doi.org/10.1038/s41586-026-10524-5 Published online 13 May 2026 In the version of this article, there were typographical errors in the x-axis units listed in Fig. 1, where the range of hours, currently reading “4, 6, 8, 10” appeared originally as “0, 4, 8, 10”. The figure is amended in the HTML and PDF versions of the article.
Blood proteomics of menopause map to brain aging and dementia risk
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Abstract Menopause is a hallmark process in biological aging that has been implicated in later neurodegenerative risk, but the pathways underlying this connection remain unclear. Here we used blood proteomics data from several cohorts to identify biological changes associated with menopause and its links to brain aging.
By Madeline Alexander, Jennifer Rabin, Michelle R. Caunca, Keenan A. Walker, Nina Miolane, Veronica Augustina Bot, Brendan Wood, Hamilton OH, Tony Wyss-Coray, Albert Pham, Julia Borger, Valentina Diaz, Emily W. Paolillo, Joel Kramer, Laura Pritschet, Caitlin M. Taylor, Matthew S. Panizzon, Marisa Denkinger, Nicholas Ashton, Sterling Johnson, Emily Jacobs, Rowan Saloner, Kaitlin B. Casaletto, Allesandra Iadipaolo, Louisa Cornelis, Ria Warrier
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Nature
Verified
Super Gas Qualifying, Saturday Final Order
Super Gas Qualifying, Saturday Final Order CLERMONT, Ind.
Author Correction: Sleep chart of biological ageing clocks in middle and late life
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Correction to: Nature https://doi.org/10.1038/s41586-026-10524-5 Published online 13 May 2026 The authors regret that two relevant prior studies were not cited in the original publication: Li et al. (2022)1 and Li et al. (2025)2. The references are listed below. References Li, Y. et al. The brain structure and genetic mechanisms underlying the nonlinear association between sleep duration, cognition and mental health. Nat. Aging 2, 425–437 (2022). Article PubMed Google Scholar Li, Y. et al.
By Cliodhna O’Toole, Zhiyuan Song, Filippos Anagnostakis, Zhijian Yang, Ye Tian, Michael Duggan, Chunrui Zou, Yue Leng, Yi Cai, Wenjia Bai, Cynthia Fu, Michael S Rafii, Paul Aisen, Gao T. Wang, Philip De Jager, Jian Zeng, Hamilton OH, Xia Zhou, Keenan A. Walker, Daniel Belsky, Andrew Zalesky, Eleanor M. Simonsick, Susan M. Resnick, Luigi Ferrucci, Christos Davatzikos, Junhao Wen
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Nature
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Alzheimer’s disease proteome-wide association study implicates adaptive immunity and identifies risk genes LILRB1 and SIRPA
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Editor’s summary Abstract Supplementary Materials REFERENCES AND NOTES Information & Authors Metrics & Citations Check Access References Figures Tables Media Share Editor’s summary Mounting evidence suggests that perturbations outside the central nervous system (CNS) can modulate Alzheimer’s disease (AD).
By xiaofan LI, Ruyi Zhou, Keenan A. Walker, Cassandra O. Blew, Michael Duggan, Gabriela Gomez, Shannon M. Drouin, Jingsha Chen, Jingning Zhang, Tibor Nanasi, Benoit Lehallier, Hamilton OH, Aditya Surapaneni, Morgan E. Grams, Priya Palta, Kevin Sullivan, Alexa Pichet Binette, Lang Wu, Jingjing Zhu, Hampton Leonard, Andrew Singleton, Myriam Fornage, Cassie Joynes, Jenifer Cordon, Balint File
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Science Magazine
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Plasma proteomic signatures of cellular aging predict human disease
Abstract Aging is asynchronous across cells and organs. Here we tested whether plasma proteomics can be used to analyze cell type-specific aging. From analyses of over 7,000 plasma proteins measured in 60,542 individuals, we developed machine learning models to estimate the biological age of over 40 cell types spanning neuronal, immune, glial, endocrine, epithelial and musculoskeletal origins.
Sleep chart of biological ageing clocks in middle and late life
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Abstract Optimal sleep has a vital role in promoting healthy ageing and enhancing longevity. Here we propose Sleep Chart to assess the relationship between self-reported sleep duration and 23 biological ageing clocks derived from in vivo imaging1, plasma proteomics2 and metabolomics3. First, a systemic, U-shaped pattern emerges between sleep duration and biological age gaps across nine brain and body systems and three omics technologies.
By Cliodhna O’Toole, Zhiyuan Song, Filippos Anagnostakis, Zhijian Yang, Ye Tian, Michael Duggan, Chunrui Zou, Yue Leng, Yi Cai, Wenjia Bai, Cynthia Fu, Michael S Rafii, Paul Aisen, Gao Shan Wang, Philip De Jager, Jian Zeng, Hamilton OH, Xia Zhou, Keenan A. Walker, Daniel Belsky, Andrew Zalesky, Eleanor M. Simonsick, Susan M. Resnick, Luigi Ferrucci, Christos Davatzikos, Junhao Wen
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Nature
Verified
Ageing promotes microglial accumulation of slow-degrading synaptic proteins - Nature
Abstract Neurodegenerative diseases affect 1 in 12 people globally and remain incurable. Central to their pathogenesis is a loss of neuronal protein maintenance and the accumulation of protein aggregates with ageing1,2. Here we engineered bioorthogonal tools3 that enabled us to tag the nascent neuronal proteome and study its turnover with ageing, its propensity to aggregate and its interaction with microglia.
Disruption of the cerebrospinal fluid–plasma protein balance in cognitive impairment and aging - Nature Medicine
Abstract The brain barrier system, including the choroid plexus, meninges and brain vasculature, regulates substrate transport and maintains differential protein concentrations between blood and cerebrospinal fluid (CSF). Aging and neurodegeneration disrupt brain barrier function, but proteomic studies of the effects on blood–CSF protein balance are limited.
Plasma proteomics links brain and immune system aging with healthspan and longevity - Nature Medicine
Abstract Plasma proteins derived from specific organs can estimate organ age and mortality, but their sensitivity to environmental factors and their robustness in forecasting onset of organ diseases and mortality remain unclear. To address this gap, we estimate the biological age of 11 organs using plasma proteomics data (2,916 proteins) from 44,498 individuals in the UK Biobank.
Super Gas Qualifying, Sunday Final Order
Super Gas Qualifying, Sunday Final Order NORWALK, Ohio - First-round winners, listed in order of elapsed time, in Super Gas at the NHRA Lucas Oil Drag Racing Series, North Central Division, 19th Annual University Hospitals Cavalcade of Stars presented by Budweiser: Psn--Num--Class-Driver, Home Town, Machine-----------------ET---Index---(+/-) 1 3558 S/G Robert Kropfeld, Hamilton OH, '67 Camaro 9.900 9.90 0.000 2 2239 S/G Tim Millwood, Columbus IN, '93 Daytona 9.900 9.90 0.000 3 2469 S/G...
Super Gas Qualifying, Friday Final Order
Super Gas Qualifying, Friday Final Order NORWALK, Ohio - First-round winners, listed in order of elapsed time, in Super Gas at the NHRA Lucas Oil Drag Racing Series, North Central Division, 19th Annual University Hospitals Cavalcade of Stars presented by Budweiser: Psn--Num--Class-Driver, Home Town, Machine-----------------ET---Index---(+/-) 1 3629 S/G Tim Tiry, Palmyra WI, '77 Monza 9.901 9.90 0.001 2 1822 S/G Thomas Allen, West Seneca NY, '98 Cavalier 9.904 9.90 0.004 3 3533 S/G Jeffrey...
A cerebrospinal fluid synaptic protein biomarker for prediction of cognitive resilience versus decline in Alzheimer’s disease - Nature Medicine
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Abstract Rates of cognitive decline in Alzheimer’s disease (AD) are extremely heterogeneous. Although biomarkers for amyloid-beta (Aβ) and tau proteins, the hallmark AD pathologies, have improved pathology-based diagnosis, they explain only 20–40% of the variance in AD-related cognitive impairment (CI). To discover novel biomarkers of CI in AD, we performed cerebrospinal fluid (CSF) proteomics on 3,397 individuals from six major prospective AD case–control cohorts.
By Hamilton OH, Linda Karlsson, Michael Duggan, Nader Morshed, Chengran Yang, Daniel Western, Muhammad Shoaib Ali, Yann Le Guen, Anssi Lipponen, Kathleen L. Poston, Anthony Wagner, Edward Wilson, Rebecca Gottesman, Josef Coresh, Keenan A. Walker, Henrik Zetterberg, Nicolai Franzmeier, Oskar Hansson, Carlos Cruchaga
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Nature
Verified
Proteogenomic analysis of human cerebrospinal fluid identifies neurologically relevant regulation and implicates causal proteins for Alzheimer’s disease | Nature Genetics
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Abstract The integration of quantitative trait loci (QTLs) with disease genome-wide association studies (GWASs) has proven successful in prioritizing candidate genes at disease-associated loci. QTL mapping has been focused on multi-tissue expression QTLs or plasma protein QTLs (pQTLs). We generated a cerebrospinal fluid (CSF) pQTL atlas by measuring 6,361 proteins in 3,506 samples.
By Daniel Western, Chengran Yang, Bridget Phillips, Yueyao Wang, Muhammad Shoaib Ali, Aleksandra Beric, Pat Kohlfeld, John Budde, Allan Levey, Richard Perrin, Agustín Ruiz, Jarod Rutledge, Hamilton OH, Edward Wilson, Yann Le Guen, Lianne M. Reus, Betty M. Tijms, Charlotte Teunissen, Ignacio Álvarez, Tony Wyss-Coray, Yun Ju Sung, Ciyang Wang, David J. Pulford
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Nature
Verified
Synapse protein signatures in cerebrospinal fluid and plasma predict cognitive maintenance versus decline in Alzheimers disease
Abstract Rates of cognitive decline in Alzheimers disease (AD) are extremely heterogeneous, with ages of symptom onset ranging from age 40 to 100 years and conversion from mild cognitive impairment to AD dementia taking 2 to 20 years.
Plasma proteomics in the UK Biobank reveals youthful brains and immune systems promote healthspan and longevity
ABSTRACT Organ-derived plasma protein signatures derived from aptamer protein arrays track organ-specific aging, disease, and mortality in humans, but the robustness and clinical utility of these models and their biological underpinnings remain unknown. Here, we estimate biological age of 11 organs from 44,526 individuals in the UK Biobank using an antibody-based proteomics platform to model disease and mortality risk.
Organ aging signatures in the plasma proteome track health and disease - Nature
Abstract Animal studies show aging varies between individuals as well as between organs within an individual1,2,3,4, but whether this is true in humans and its effect on age-related diseases is unknown. We utilized levels of human blood plasma proteins originating from specific organs to measure organ-specific aging differences in living individuals.
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