AoU Research Priorities Use Cases

Evaluate Age-related Microbiota Changes and their impact in Health, and in Chronic Disease Prevention, Treatment and Progression

The microbiome variations have been associated with health and disease status in cross-sectional studies. There is a need to examine these associations in a longitudinal fashion and to establish baseline changes in health and disease over a lifespan. All of Us Together provides a game-changing amount of longitudinal data on enough individuals to begin to map the complex relationship between exposures (diet, antibiotics, pollutants), host (genetic background) and microbiome characteristics.

The remaining questions allow you to outline in more detail the information needed to address your research question. The series of questions allow up to five entries. If you have more than five entries, please try to prioritize them and enter the remainder in the final field. When done, click Submit at the bottom. No

Select your required Data Item #1, which is most important to your study. This would be an item that needs to be generated and collected from different sources using various procedures, tools, techniques, assays, etc. If not in the current selection, please enter it in the textbox below. Cancer incidence

If you did not find your Data Item #1 in the dropdown selection above, please enter it here. could be applied to any disease incidence

By what method will Data Item #1 be obtained? This may Include procedures, tools, techniques, assays, and analytical approaches for the collection, measurement, or analysis of data. If you do not find the required method, you may enter it in the textbox below. Clinical diagnostic tests

Are there specifications that apply to the method by which Data Item #1 will be obtained, e.g., is the measurement taken once a year, every month, or some other variation? If you do not find your specification in the dropdown, you may enter it in the textbox below. At specified times anchored to the clinical event

If Data Item #2 was not in the dropdown, please enter it here. Microbiota analysis

If Method #2 was not in the dropdown, please enter it here Fecal samples

Specification #2 Once per year

If Specification #2 was not in the dropdown, please enter it here: Optimal would be to sample twice a year

If Data Item #3 was not in the dropdown, please enter it here Microbially produced metabolites in the blood

If Method #3 was not in the dropdown, please enter it here blood analysis for microbially produced metabolites

If Specification #3 was not in the dropdown, please enter it here once or twice a year, same as fecal sample analysis

Data Item #4 Air pollution measurements

If Method #4 was not in the dropdown, please enter it here once or twice a year, same as fecal sample analysis and as blood sample analysis

If Data Item #5 was not in the dropdown, please enter it here Blood methylation status for evaluating biological age

If Method #5 was not in the dropdown, please enter it here Blood methylation status for evaluating biological age

If Specification #5 was not in the dropdown, please enter it here once or twice a year, same as fecal sample analysis and as blood sample analysis

If you have more than five data items, you may enter them here.

markers for biological age as p16.
nutritional status (essential vitamins and minerals) in the blood
On a longitudinal study, all these data correlated ( microbiota, microbially produced metabolites, nutritional status, antibiotics consumption and genetic info) could potentially lead to useful conclusions to be applied toward precision medicine.

Voting

19 votes
Ideate
Idea No. 597