1
|
Becker M, Fehr K, Goguen S, Miliku K, Field C, Robertson B, Yonemitsu C, Bode L, Simons E, Marshall J, Dawod B, Mandhane P, Turvey SE, Moraes TJ, Subbarao P, Rodriguez N, Aghaeepour N, Azad MB. Multimodal machine learning for modeling infant head circumference, mothers' milk composition, and their shared environment. Sci Rep 2024; 14:2977. [PMID: 38316895 PMCID: PMC10844250 DOI: 10.1038/s41598-024-52323-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 01/17/2024] [Indexed: 02/07/2024] Open
Abstract
Links between human milk (HM) and infant development are poorly understood and often focus on individual HM components. Here we apply multi-modal predictive machine learning to study HM and head circumference (a proxy for brain development) among 1022 mother-infant dyads of the CHILD Cohort. We integrated HM data (19 oligosaccharides, 28 fatty acids, 3 hormones, 28 chemokines) with maternal and infant demographic, health, dietary and home environment data. Head circumference was significantly predictable at 3 and 12 months. Two of the most associated features were HM n3-polyunsaturated fatty acid C22:6n3 (docosahexaenoic acid, DHA; p = 9.6e-05) and maternal intake of fish (p = 4.1e-03), a key dietary source of DHA with established relationships to brain function. Thus, using a systems biology approach, we identified meaningful relationships between HM and brain development, which validates our statistical approach, gives credence to the novel associations we observed, and sets the foundation for further research with additional cohorts and HM analytes.
Collapse
Affiliation(s)
- Martin Becker
- International Milk Composition (IMiC) Consortium, Winnipeg, Canada
- Stanford University, Stanford, 94305, USA
| | - Kelsey Fehr
- International Milk Composition (IMiC) Consortium, Winnipeg, Canada
- Manitoba Interdisciplinary Lactation Centre (MILC), Winnipeg, Canada
- Children's Hospital Research Institute of Manitoba, Winnipeg, Canada
- University of Manitoba, Winnipeg, R3E3P4, Canada
| | - Stephanie Goguen
- International Milk Composition (IMiC) Consortium, Winnipeg, Canada
- Manitoba Interdisciplinary Lactation Centre (MILC), Winnipeg, Canada
- Children's Hospital Research Institute of Manitoba, Winnipeg, Canada
- University of Manitoba, Winnipeg, R3E3P4, Canada
| | - Kozeta Miliku
- University of Toronto, Toronto, M5S 1A8, Canada
- McMaster University, Hamilton, M5S 1A8, Canada
| | | | | | - Chloe Yonemitsu
- University of California, San Diego, La Jolla, CA, 92093, USA
| | - Lars Bode
- International Milk Composition (IMiC) Consortium, Winnipeg, Canada
- University of California, San Diego, La Jolla, CA, 92093, USA
| | | | | | | | | | - Stuart E Turvey
- University of British Columbia and British Columbia Children's Hospital, Vancouver, V5Z4H4, Canada
| | | | - Padmaja Subbarao
- University of Toronto, Toronto, M5S 1A8, Canada
- McMaster University, Hamilton, M5S 1A8, Canada
- SickKids, Toronto, M5G 0A4, Canada
| | - Natalie Rodriguez
- International Milk Composition (IMiC) Consortium, Winnipeg, Canada
- Manitoba Interdisciplinary Lactation Centre (MILC), Winnipeg, Canada
- Children's Hospital Research Institute of Manitoba, Winnipeg, Canada
- University of Manitoba, Winnipeg, R3E3P4, Canada
| | - Nima Aghaeepour
- International Milk Composition (IMiC) Consortium, Winnipeg, Canada.
- Stanford University, Stanford, 94305, USA.
| | - Meghan B Azad
- International Milk Composition (IMiC) Consortium, Winnipeg, Canada.
- Manitoba Interdisciplinary Lactation Centre (MILC), Winnipeg, Canada.
- Children's Hospital Research Institute of Manitoba, Winnipeg, Canada.
- University of Manitoba, Winnipeg, R3E3P4, Canada.
| |
Collapse
|