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Title: A Pilot Characterization of the Human Chronobiome.

Authors: Skarke, Carsten; Lahens, Nicholas F; Rhoades, Seth D; Campbell, Amy; Bittinger, Kyle; Bailey, Aubrey; Hoffmann, Christian; Olson, Randal S; Chen, Lihong; Yang, Guangrui; Price, Thomas S; Moore, Jason H; Bushman, Frederic D; Greene, Casey S; Grant, Gregory R; Weljie, Aalim M; FitzGerald, Garret A

Published In Sci Rep, (2017 Dec 07)

Abstract: Physiological function, disease expression and drug effects vary by time-of-day. Clock disruption in mice results in cardio-metabolic, immunological and neurological dysfunction; circadian misalignment using forced desynchrony increases cardiovascular risk factors in humans. Here we integrated data from remote sensors, physiological and multi-omics analyses to assess the feasibility of detecting time dependent signals - the chronobiome - despite the "noise" attributable to the behavioral differences of free-living human volunteers. The majority (62%) of sensor readouts showed time-specific variability including the expected variation in blood pressure, heart rate, and cortisol. While variance in the multi-omics is dominated by inter-individual differences, temporal patterns are evident in the metabolome (5.4% in plasma, 5.6% in saliva) and in several genera of the oral microbiome. This demonstrates, despite a small sample size and limited sampling, the feasibility of characterizing at scale the human chronobiome "in the wild". Such reference data at scale are a prerequisite to detect and mechanistically interpret discordant data derived from patients with temporal patterns of disease expression, to develop time-specific therapeutic strategies and to refine existing treatments.

PubMed ID: 29215023 Exiting the NIEHS site

MeSH Terms: Adult; Blood Pressure; Blood Proteins/metabolism; Circadian Rhythm*; Heart Rate; Humans; Hydrocortisone/metabolism; Male; Metabolome*; Microbiota*; Mouth/metabolism; Pilot Projects; Proteome*; Saliva/metabolism; Time Factors; Transcriptome*

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