EP 138: Personalised medicine using microbiome models with Dr. Almut Heinken
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0:00 Introduction1:45 Almut’s research experience, including two recent publications on genome-scale metabolic reconstruction human microorganisms

• Genome-scale metabolic reconstruction of 7,302 human microorganisms for personalized medicine)
• APOLLO: A genome-scale metabolic reconstruction resource of 247,092 diverse human microbes spanning multiple continents, age groups, and body sites)

8:00 Implications for personalised medicine and drug discovery using microorganisms in colorectal cancer, inflammatory bowel disease, ulcerative colitis, and more14:30 Using metabolite and microbiome models to predict the effectiveness of medications18:00 Differences in microbial communities between various ethnicities, nationalities, and races24:00 Understanding microbiome community models with the goal of informing drug discovery 26:30 The interplay between diet, the microbiome, and nervous system28:00 How to use predictive models to understand the diet-microbiome relationship36:00 Upcoming projects studying the gut microbiome and epigenetics38:30 Comparing a vaginal birth to a caesarean section on the child’s microbial immunity40:00 Explaining the cause of heterogeneous differences in monogenic diseases

• Towards personalized genome-scale modeling of inborn errors of metabolism for systems medicine applications)

45:00 Closing remarksPlease consider rating and reviewing) us on your chosen podcast listening platform!