Summary of project PR000990
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR000990. The data can be accessed directly via it's Project DOI: 10.21228/M8QQ45 This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
| Project ID: | PR000990 |
| Project DOI: | doi: 10.21228/M8QQ45 |
| Project Title: | Developing preliminary blood metabolomics-based biomarkers of insufficient sleep in humans |
| Project Type: | Human clinical translational study |
| Project Summary: | Study Objective: Identify small molecule biomarkers of insufficient sleep using untargeted plasma metabolomics in humans undergoing experimental insufficient sleep. Methods: We conducted a cross-over laboratory study where 16 normal weight participants (8 men; age 22 ± 5 years; body mass index < 25 kg/m2) completed three baseline days (BL; 9h sleep opportunity per night) followed by five day insufficient (5H; 5h sleep opportunity per night) and adequate (9H; 9h sleep opportunity per night) sleep conditions. Energy balanced diets were provided during baseline, with ad libitum energy intake provided during the insufficient and adequate sleep conditions. Untargeted plasma metabolomics analyses were performed using blood samples collected every 4h across the final 24h of each condition. Biomarker models were developed using logistic regression and linear support vector machine algorithms. Results: The top performing biomarker model was developed by linear support vector machine modeling, consisted of 65 compounds, and discriminated insufficient versus adequate sleep with 74% overall accuracy and a Matthew’s Correlation Coefficient of 0.39. The compounds in the top performing biomarker model were associated with ATP Binding Cassette Transporters in Lipid Homeostasis, Phospholipid Metabolic Process, Plasma Lipoprotein Remodeling, and sphingolipid metabolism. Conclusion: We identified potential metabolomics-based biomarkers of insufficient sleep in humans. Further development and validation of omics-based biomarkers of insufficient sleep will advance our understanding of the negative consequences of insufficient sleep, improve diagnosis of poor sleep health, and identify targets for countermeasures designed to mitigate the negative health consequences of insufficient sleep. |
| Institute: | University of Colorado Boulder |
| Department: | Integrative Physiology |
| Laboratory: | Sleep and Chronobiology Laboratory, University of Colorado Boulder |
| Last Name: | Depner |
| First Name: | Christopher |
| Address: | 354 UCB |
| Email: | christopher.depner@colorado.edu |
| Phone: | 5098799151 |
| Funding Source: | NIH; Sleep Research Society Foundation |
Summary of all studies in project PR000990
| Study ID | Study Title | Species | Institute | Analysis(* : Contains Untargted data) | Release Date | Version | Samples | Download(* : Contains raw data) |
|---|---|---|---|---|---|---|---|---|
| ST001440 | Developing preliminary blood metabolomics-based biomarkers of insufficient sleep in humans | Homo sapiens | University of Colorado Boulder | MS* | 2021-08-09 | 1 | 225 | Uploaded data (6.2M)* |
