Melatonin as a biomarker of circadian dysregulation
Abstract
It would be most useful to identify a biomarker of circadian dysregulation that could be used in epidemiologic studies of the effects of circadian disruption in humans. An indicator of circulating melatonin level has been shown to be a good biomarker of circadian dysregulation and has been associated with nightshift work and exposure to light-at-night in both laboratory-based and field studies. Among other circadian markers (such as core body temperature), it remains comparatively robust in the presence of various external influences. It can be reliably measured directly and indirectly through its metabolites in urine, blood, and saliva. Urinary melatonin has been shown to be stable over time, making it useful in epidemiologic studies in which laboratory processing is not immediately available, as well as studies of cancer with long latency periods. Several studies have shown melatonin to be useful in measuring diurnal type, which is of increasing interest as it becomes more apparent that successful adaptation to shift work may be dependent on diurnal preference.
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Use of urine samples to measure melatonin metabolites is widely reported in epidemiologic studies but is limited by poorer urine sample resolution, which affects accuracy of measurement.
“In contrast, the use of urine samples to measure melatonin metabolites is widely reported in epidemiologic studies (27) but is limited because of the poorer urine sample resolution which affects the accuracy of measurement (28).”
From Chronotype: Implications for Epidemiologic Studies on Chrono-Nutrition and Cardiometabolic Health (2019) · cites this paper as [27]
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Stevens, R. G., Hansen, J., Costa, G., Haus, E., Kauppinen, T., Aronson, K. J., Castaño-Vinyals, G., Davis, S., Frings-Dresen, M. H. W., Fritschi, L., et al. (2011) · Occupational and Environmental Medicine · doi:10.1136/oem.2009.053512 · Cited by 421 · see citing works
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Chronotype: Implications for Epidemiologic Studies on Chrono-Nutrition and Cardiometabolic Health
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Oxidative DNA damage during sleep periods among nightshift workers
Bhatti, P., Mirick, D. K., Randolph, T. W., Gong, J., Buchanan, D. T., Zhang, J. (., & Davis, S. (2016) · Occupational and Environmental Medicine · doi:10.1136/oemed-2016-103629 · Cited by 28 · see citing works
Self-citation
- Authors
- Mirick, D. K., & Davis, S.
- Affiliations
- Fred Hutch Cancer Center (US)
- University of Washington (US)
- ORCID
- Davis, Scott
- Venue
- Cancer Epidemiology, Biomarkers & Prevention
- Published
- 2008-12-01
- Volume
- 17
- Issue
- 12
- Pages
- 3306-3313
- ISSN
- 1055-9965 (ISSN-L)
- 1538-7755
- OpenAlex
- W2083933443
- Cited by
- 176
- References
- 138
- Citations by year
- 2026: 3 · 2025: 15 · 2024: 6 · 2023: 13 · 2022: 9 · 2021: 6 · 2020: 11 · 2019: 10 · 2018: 11 · 2017: 10 · 2016: 6 · 2015: 9 · 2014: 11 · 2013: 16 · 2012: 15
- FWCI
- 0.90
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Cancer Epidemiology Biomarkers & Prevention (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Circadian rhythm and melatonin
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
- Physical Sciences › Environmental Science › Global and Planetary Change › Impact of Light on Environment and Health
- Keywords
- melatonin, circadian dysfunction, biomarkers, circadian rhythm disruption, night shift work, light at night, urinary melatonin, diurnal preference, core body temperature, cancer risk
- MeSH terms
- Body Temperature, Circadian Rhythm, Humans, Light, Melatonin, Pineal Gland, Work Schedule Tolerance, Biomarkers, Chronobiology Disorders
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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