Associations between plasma proteomic signatures and secondary sleep in older adults
(2025) In GeroScience- Abstract
Sleep disturbances are prevalent among elderly populations and are linked to various health complications. Understanding the underlying biological mechanisms contributing to sleep disorders is crucial for developing targeted interventions. In this study, we measured 355 plasma proteins in an elderly Japanese cohort (n=77) using a high-throughput proteomic platform. Additionally, we collected over 25,000 person-days of physical activity and sleep behavior data from wrist-worn wearable devices, focusing on total sleep time (TST) across 24 h and daytime sleep. Fragmented sleep was observed as one of the most prevalent sleep disturbances in this population. In protein expression analysis, we identified 9 protein biomarkers associated with... (More)
Sleep disturbances are prevalent among elderly populations and are linked to various health complications. Understanding the underlying biological mechanisms contributing to sleep disorders is crucial for developing targeted interventions. In this study, we measured 355 plasma proteins in an elderly Japanese cohort (n=77) using a high-throughput proteomic platform. Additionally, we collected over 25,000 person-days of physical activity and sleep behavior data from wrist-worn wearable devices, focusing on total sleep time (TST) across 24 h and daytime sleep. Fragmented sleep was observed as one of the most prevalent sleep disturbances in this population. In protein expression analysis, we identified 9 protein biomarkers associated with increased secondary sleep TST, defined as additional sleep episodes outside of the main sleep episode within 24 h. These findings may suggest disruptions in circadian rhythms or underlying health conditions. Functional analysis revealed that biological processes related to inflammation play a significant role in regulating sleep behavior. Further analysis showed an association of 12 proteins with daytime sleep and 5 proteins with afternoon sleep. Overall, this study identified inflammatory biomarkers and biological processes associated with sleep behavior in the elderly, presenting promising opportunities for developing diagnostic tools and targeted clinical interventions.
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- author
- Madhawa, Kaushalya ; Svensson, Thomas LU ; Nt, Hoang ; Chung, Ung Il and Svensson, Akiko Kishi LU
- organization
- publishing date
- 2025
- type
- Contribution to journal
- publication status
- epub
- subject
- keywords
- Biomarkers, Proteomics, Sleep
- in
- GeroScience
- article number
- 101788
- publisher
- Springer Science and Business Media B.V.
- external identifiers
-
- scopus:105002165690
- pmid:40198463
- ISSN
- 2509-2715
- DOI
- 10.1007/s11357-025-01565-1
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © The Author(s) 2025.
- id
- f9f95742-0ec9-40f3-a27d-51116d7fc4e1
- date added to LUP
- 2025-05-22 08:39:16
- date last changed
- 2025-07-03 12:04:11
@article{f9f95742-0ec9-40f3-a27d-51116d7fc4e1,
abstract = {{<p>Sleep disturbances are prevalent among elderly populations and are linked to various health complications. Understanding the underlying biological mechanisms contributing to sleep disorders is crucial for developing targeted interventions. In this study, we measured 355 plasma proteins in an elderly Japanese cohort (n=77) using a high-throughput proteomic platform. Additionally, we collected over 25,000 person-days of physical activity and sleep behavior data from wrist-worn wearable devices, focusing on total sleep time (TST) across 24 h and daytime sleep. Fragmented sleep was observed as one of the most prevalent sleep disturbances in this population. In protein expression analysis, we identified 9 protein biomarkers associated with increased secondary sleep TST, defined as additional sleep episodes outside of the main sleep episode within 24 h. These findings may suggest disruptions in circadian rhythms or underlying health conditions. Functional analysis revealed that biological processes related to inflammation play a significant role in regulating sleep behavior. Further analysis showed an association of 12 proteins with daytime sleep and 5 proteins with afternoon sleep. Overall, this study identified inflammatory biomarkers and biological processes associated with sleep behavior in the elderly, presenting promising opportunities for developing diagnostic tools and targeted clinical interventions.</p>}},
author = {{Madhawa, Kaushalya and Svensson, Thomas and Nt, Hoang and Chung, Ung Il and Svensson, Akiko Kishi}},
issn = {{2509-2715}},
keywords = {{Biomarkers; Proteomics; Sleep}},
language = {{eng}},
publisher = {{Springer Science and Business Media B.V.}},
series = {{GeroScience}},
title = {{Associations between plasma proteomic signatures and secondary sleep in older adults}},
url = {{http://dx.doi.org/10.1007/s11357-025-01565-1}},
doi = {{10.1007/s11357-025-01565-1}},
year = {{2025}},
}