Document Type

Journal Article

Publication Title

Neurobiology of Disease

Volume

190

PubMed ID

38049012

Publisher

Elsevier

School

School of Medical and Health Sciences

RAS ID

64685

Funders

National Health and Medical Research Council / CogSleep CRE Fellowship / Boosting Dementia Leadership Fellowship / ForeFront

Grant Number

NHMRC Number : 1037746

Grant Link

http://purl.org/au-research/grants/nhmrc/1037746

Comments

Yang, Y., Kim, W. S., Michaelian, J, C., Lewis, S. J. G., Phillips, C. L., D'Rozario, A. L., . . . Naismith, S. L. (2024). Predicting neurodegeneration from sleep related biofluid changes. Neurobiology of Diseases, 190, article 106369. https://doi.org/10.1016/j.nbd.2023.106369

Abstract

Sleep-wake disturbances are common in neurodegenerative diseases and may occur years before the clinical diagnosis, potentially either representing an early stage of the disease itself or acting as a pathophysiological driver. Therefore, discovering biomarkers that identify individuals with sleep-wake disturbances who are at risk of developing neurodegenerative diseases will allow early diagnosis and intervention. Given the association between sleep and neurodegeneration, the most frequently analyzed fluid biomarkers in people with sleep-wake disturbances to date include those directly associated with neurodegeneration itself, such as neurofilament light chain, phosphorylated tau, amyloid-beta and alpha-synuclein. Abnormalities in these biomarkers in patients with sleep-wake disturbances are considered as evidence of an underlying neurodegenerative process. Levels of hormonal sleep-related biomarkers such as melatonin, cortisol and orexin are often abnormal in patients with clinical neurodegenerative diseases, but their relationships with the more standard neurodegenerative biomarkers remain unclear. Similarly, it is unclear whether other chronobiological/circadian biomarkers, such as disrupted clock gene expression, are causal factors or a consequence of neurodegeneration. Current data would suggest that a combination of fluid biomarkers may identify sleep-wake disturbances that are most predictive for the risk of developing neurodegenerative disease with more optimal sensitivity and specificity.

DOI

10.1016/j.nbd.2023.106369

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

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