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| ID | Type | Description | Link |
|---|---|---|---|
| A537700 | Other Identifier | UW Madison | |
| SMPH/BIOMOLEC CHEM/BIOMOL CHM | Other Identifier | UW Madison | |
| Protocol Version 9/28/22 | Other Identifier | UW Madison |
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| Name | Class |
|---|---|
| Morgridge Institute for Research | UNKNOWN |
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The purpose of this research study is to test the different components in urine and see if they can be matched to food, exercise and sleep that participants report. The researchers are trying to find out if urine would allow them to predict medical problems as they are happening. Participants are healthy volunteers who are willing to give urine samples on a daily basis, and can expect to be in the study for 28 days.
The purpose of this research study is to analyze urine samples using Mass Spectrometry to identify metabolites that have the potential to be used for medical diagnosis. This data, along with data from wearable devices, will be combined and analyzed to correlate what an individual does on a daily basis with how their body metabolizes their choices. This type of data may provide insights into the origins and progression of diseases in a short time span.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Sleep limited | Experimental | Participants will be asked to limit their sleep |
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| No sleep limitation | Experimental | Participants will be asked to get their normal amount of sleep. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Urine sample | Other | Collection of 36-84 urine samples over a 14 consecutive day period. |
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| Measure | Description | Time Frame |
|---|---|---|
| Change in inflammation | Changes in inflammation will be measured by hs-CRP via short-term sleep restriction. | Baseline to day 14 |
| Correlate biohealth data with concentrations of urine metabolites | To explore connections between urine metabolite concentrations and others measures of health and lifestyle, biometric data will be collected using a FitBit watch (sleep and exercise), nutritional data (food logs) and a questionnaire (tobacco use). Urine will be analyzed using mass spectrometry to isolate metabolites. The metabolites will then be cross-referenced against databases of known metabolites in order to identify them and their disease associations. | Daily for 14 days |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Joshua Coon, PhD | University of Wisconsin, Madison | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Wisconsin | Madison | Wisconsin | 53705 | United States |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| ICF | No | No | Yes | Informed Consent Form | May 19, 2023 | Feb 14, 2024 | ICF_000.pdf |
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| Sleep restriction | Other | Participants will be asked to limit their sleep to 4 hours within a 24-hour period for 2 days in a row. |
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