Exploring the Missing Links Between Dietary Habits and Diseases.

Area of Science:

• Systems biology
• Nutritional science
• Computational biology

Background:

• Disease dietomics explores diet-disease connections.
• Foods can positively or negatively impact diseases.
• Disease-food networks offer a systems view.

Purpose of the Study:

• Analyze a large-scale disease-food network.
• Investigate connections between diseases and subtypes.
• Identify novel disease relationships based on food associations.

Main Methods:

• Constructed a disease-food network (162 diseases, 455 foods).
• Measured disease similarity using food association patterns.
• Analyzed network patterns for disease subtypes.

Main Results:

• Observed high similarity between certain disease subtypes, notably in cancer.
• Discovered strong, previously unrecognized links between constipation-dysphagia and cancer-cardiovascular disease.
• Demonstrated potential for predicting disease occurrence based on network analysis.

Conclusions:

• Disease dietomics provides insights into complex diet-disease relationships.
• Network analysis of food associations can reveal hidden disease connections.
• Findings support the potential for predictive modeling in disease occurrence.