👩🏻💻Liat is a computational scientist who develops bioinformatics methods to analyze microbiome data.
👩🏻🔬I am a human milk scientist who wants to study ALL THE THINGS in milk and figure out how they all work together.
We focused on 3 major barriers to understanding #breastmilk:
1⃣ Milk contains 1000's of components, yet most studies analyze just one or a few
2⃣ Milk changes over time, yet longitudinal studies are rare
3⃣ We lack computational tools & methods to study milk as a complex SYSTEM
We realized that #humanmilk & the #microbiome have a lot in common.
- Both are COMPLEX biological SYSTEMS (many parts working together)
- Both are ADAPTIVE (adapt to the environment)
- Both are DYNAMIC (change over time)
So… perhaps we can apply microbiome methods to milk? 🤔
We propose that many microbiome concepts can be applied to human milk science, including:
- Richness
- Diversity
- Co-occurrence networks
- Community state types
- Keystone groups
- Interactions
- Guilds
- Resilience
- Succession
- Emergent Properties
Also, we need to think beyond the milk itself.
Milk is a central component of the mother-milk-infant triad. It affects (and is affected by) both the infant and mother – and this entire ‘system within a system’ is affected by the external environment.
Here’s what our dream #humanmilk study would (will 🤞🏻) look like.
2/ In the @CHILDStudy, infant gut #microbiome composition was associated with #breastfeeding exclusivity and duration, but not feeding mode (pumping vs. nursing at the breast)
3/ Bacteria in breastmilk vs. infant gut were very different (of course!)