Molecular clocks and the human condition: approaching their characterization in human physiology and disease
Open accessAbstract
Molecular clockworks knit together diverse biological networks and compelling evidence from model systems infers their importance in metabolism, immunological and cardiovascular function. Despite this and the diurnal variation in many aspects of human physiology and the phenotypic expression of disease, our understanding of the role and importance of clock function and dysfunction in humans is modest. There are tantalizing hints of connection across the translational divide and some correlative evidence of gene variation and human disease but most of what we know derives from forced desynchrony protocols in controlled environments. We now have the ability to monitor quantitatively ex vivo or in vivo the genome, metabolome, proteome and microbiome of humans in the wild. Combining this capability, with the power of mobile telephony and the evolution of remote sensing, affords a new opportunity for deep phenotyping, including the characterization of diurnal behaviour and the assessment of the impact of the clock on approved drug function.
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The role biorhythms play as biomarkers for disease onset is less well understood.
“The role biorhythms play as biomarkers for disease onset is less well understood6.”
From Diurnal rhythms of wrist temperature are associated with future disease risk in the UK Biobank (2023) · cites this paper as [6]
The most significant associations represent common chronic disease phenotypes that have been associated with circadian disruption.
“Here, the most significant associations represent common chronic disease phenotypes that have been associated with circadian disruption6,27.”
From Diurnal rhythms of wrist temperature are associated with future disease risk in the UK Biobank (2023) · cites this paper as [6]
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Diurnal rhythms of wrist temperature are associated with future disease risk in the UK Biobank
Brooks, T. G., Lahens, N. F., Grant, G. R., Sheline, Y. I., FitzGerald, G. A., & Skarke, C. (2023) · Nature Communications · doi:10.1038/s41467-023-40977-5 · Cited by 57 · see citing works
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- Authors
- Fitzgerald, G. A., Yang, G., Paschos, G. K., Liang, X., & Skarke, C.
- Affiliations
- University of Pennsylvania (US)
- Corresponding author
- Fitzgerald, G. A.
- Venue
- Diabetes, Obesity and Metabolism
- Publisher
- Wiley
- Published
- 2015-09
- Volume
- 17
- Issue
- S1
- Pages
- 139-142
- ISSN
- 1462-8902 (ISSN-L)
- 1463-1326
- PMC
- PMC4562067
- OpenAlex
- W2130203282
- Cited by
- 15
- References
- 33
- Citations by year
- 2026: 1 · 2024: 2 · 2023: 1 · 2022: 2 · 2021: 1 · 2020: 3 · 2019: 1 · 2018: 1 · 2017: 1 · 2016: 1 · 2015: 1
- FWCI
- 0.14
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Diabetes Obesity and Metabolism (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (HL097800)
- National Heart, Lung, and Blood Institute (R01HL097800)
- National Institute of Environmental Health Sciences (P30ES013508)
- Topics
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Circadian rhythm and melatonin
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Keywords
- circadian clock, molecular clock, human physiology, circadian dysfunction, diurnal variation, metabolism, cardiovascular function, forced desynchrony, deep phenotyping, diurnal activity, metabolome, proteome, microbiome
- MeSH terms
- Circadian Rhythm, Humans, Genome, Human, Proteome, Metabolome, Drug Chronotherapy, Circadian Clocks, Remote Sensing Technology, Microbiota
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