Name (Synonyms) | Correlation | |
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drug923 | Favipiravir Wiki | 0.24 |
drug1086 | Hydroxychloroquine Wiki | 0.10 |
Name (Synonyms) | Correlation | |
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D006331 | Heart Diseases NIH | 0.50 |
D003141 | Communicable Diseases NIH | 0.09 |
D007239 | Infection NIH | 0.06 |
Name (Synonyms) | Correlation |
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There is one clinical trial.
Foods in the human diet can affect the development of diseases over time, such as diabetes or heart disease. This is because the amount and types of foods in the diet eat can affect a person's weight, and because different foods are metabolised (processed) by the body in different ways. Scientists have also found that the bacteria in the human gut (the gut microbiome) affect their metabolism, weight and health and that, together with a person's diet and metabolism, could be used to predict appetite and how meals affect the levels of sugar (glucose) and fats (lipids) found in blood after eating. If blood sugar and fat are too high too often for too long, there is a greater chance of developing diseases such as diabetes and cardiovascular disease. The gut microbiome is different in different people. Only 10-20% of the types of bacteria found in the human gut are found in everyone. This might mean that the best diet to prevent disease needs matching to a person's gut microbiome and it might be possible to find personalised foods or diets that will help reduce the chance of developing chronic disease as well as metabolic syndrome. The study investigators are recruiting volunteers aged 18-70 years to take part in a study that aims to answer the questions above. Participants will be asked to consume standardised meals on up to 8 days while wearing glucose monitors (Abbott Freestyle Libre) to measure their blood sugar levels. Participants will also be required to prick their fingers at regular intervals to collect small amounts of blood, and to record their appetite, food, physical activity and sleep using apps and wearable devices. They will be asked to collect a fecal and saliva sample before consuming the standardised meals, and to provide a fasted blood sample at the end of the study period.
Description: Species count in fecal sample
Measure: Gut microbiome species richness Time: 1 DayDescription: Measurement of blood lipids
Measure: Lipids Time: 3 daysDescription: Measurement of blood glucose
Measure: Glucose Time: 11 daysDescription: Record of sleep pattern using a wearable device (i.e. fitness watch)
Measure: Sleep Time: 10 daysDescription: Record of physical activity using a wearable device (i.e. fitness watch)
Measure: Physical activity Time: 10 daysDescription: Record of hunger and appetite patterns using a digital app
Measure: Hunger and appetite assessment Time: 10 daysDescription: C-peptide
Measure: Glucose metabolism Time: 3 daysDescription: Weighed food log
Measure: Dietary assessment Time: 10 daysDescription: Weight (kg)
Measure: Anthropometry Time: 1 dayDescription: Height (cm)
Measure: Anthropometry Time: 1 dayDescription: Hip and waist circumference (cm)
Measure: Anthropometry Time: 1 dayDescription: Lipoprotein concentration (mol/L), lipoprotein composition (mol/L), glycoprotein acetyl concentration (mol/L), ketone bodies concentration (mol/L)
Measure: Metabolomics by NMR analysis Time: 1 dayDescription: Diet history and portion size questionnaire about the preceding month, using the Diet History Questionnaire 3 from National Cancer Institute.
Measure: Dietary assessment Time: 1 monthDescription: Self-reported demographic and physical health symptoms, or lack thereof, reported on a daily basis.
Measure: Covid-19 symptom assessment Time: 6 months