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Cardiovascular Health: High intake of saturated fats has long been associated with an increased risk of cardiovascular diseases (CVD), including coronary artery disease, heart attacks, and strokes. Saturated fats can raise levels of LDL cholesterol ("bad" cholesterol), which is a risk factor for CVD. Therefore, a diet high in saturated fats may exacerbate existing cardiovascular conditions and contribute to the development of new ones.
Obesity and Weight Gain: Saturated fats are energy-dense and can contribute to excess calorie intake, potentially leading to weight gain and obesity if not balanced with energy expenditure. Obesity is a risk factor for numerous health conditions, including type 2 diabetes, hypertension, and certain cancers.
Insulin Resistance and Type 2 Diabetes: High intake of saturated fats has been linked to insulin resistance, a condition in which cells become less responsive to insulin, leading to elevated blood sugar levels. This can contribute to the development of type 2 diabetes and its associated complications.
Inflammation: Some studies suggest that diets high in saturated fats may promote inflammation in the body, which is associated with various chronic diseases, including cardiovascular disease, diabetes, and certain cancers.
Liver Health: Excessive consumption of saturated fats may contribute to non-alcoholic fatty liver disease (NAFLD), a condition characterized by the accumulation of fat in the liver. NAFLD can progress to more severe liver conditions, such as non-alcoholic steatohepatitis (NASH) and liver fibrosis.
Cognitive Function: Some research suggests that diets high in saturated fats may impair cognitive function and increase the risk of neurodegenerative diseases, such as Alzheimer's disease. However, more research is needed to fully understand the relationship between dietary fat intake and cognitive health.
Hormonal Imbalance: Saturated fats may influence hormone levels and signaling pathways in the body, which could have implications for reproductive health and hormone-related conditions such as polycystic ovary syndrome (PCOS).
We extend modifiers to include items that changes the parent and child taxa. I.e. for a species, that would be the genus that is belongs to and the strains in the species.
A higher number indicates impact on more bacteria associated with the condition and confidence on the impact.
We have X bacteria high and Y low reported. We find that the modifier reduces some and increases other of these two groups. We just tally: X|reduces + Y|Increase = Positive X|increases + Y|decrease = Negative.
Benefit Ratio:
Numbers above 0 have increasing positive effect.
Numbers below 0 have increasing negative effect.
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