A Computational Framework for Studying Gut-Brain Axis in Autism Spectrum Disorder

Area of Science:

• Computational biology
• Systems biology
• Metabolic modeling

Background:

• Intestinal epithelium integrity is vital for health and compromised in autism spectrum disorder (ASD).
• Gut microbiota dysbiosis leads to toxins that damage the gut and brain via the gut-brain axis.
• Understanding metabolic disturbances in ASD is crucial for developing effective interventions.

Purpose of the Study:

• To develop a novel computational framework integrating constraint-based metabolic (CBM) and physiological pharmacokinetic (PBPK) models for ASD.
• To analyze the roles of gut microbiota, diet, and oxidative stress in ASD pathogenesis.
• To test the efficacy of probiotic and dietary interventions within the integrated model.

Main Methods:

• Developed a CBM gut model incorporating host-bacteria and bacteria-bacteria interactions using patient data.
• Assembled a PBPK model for toxin metabolism, integrating multi-scale metabolic information.
• Performed dynamic flux balance analysis to integrate CBM and PBPK models for intervention testing.

Main Results:

• The model identified critical metabolic pathways in the gut (carbon, nucleotide, vitamin) and brain (mitochondrial energy, amino acid) associated with ASD.
• A high-fiber diet was more effective than a western diet in reducing gut-derived toxins.
• Probiotic supplementation (e.g., Lactobacillus acidophilus, Bifidobacterium longum longum) restored gut microbiota balance and lowered oxidative stress.

Conclusions:

• The integrated CBM-PBPK framework provides a novel approach to study ASD pathogenesis and whole-body toxin distribution.
• The model highlights the potential for developing targeted therapeutic strategies, including dietary and probiotic interventions, for ASD.
• Combining PBPK modeling with COBRA-specific tissue details is validated as crucial for understanding disease mechanisms.