Sialylated Milk Oligosaccharides Promote Microbiota-Dependent Growth in Models of Infant Undernutrition
Open accessAbstract
Identifying interventions that more effectively promote healthy growth of children with undernutrition is a pressing global health goal. Analysis of human milk oligosaccharides (HMOs) from 6-month-postpartum mothers in two Malawian birth cohorts revealed that sialylated HMOs are significantly less abundant in those with severely stunted infants. To explore this association, we colonized young germ-free mice with a consortium of bacterial strains cultured from the fecal microbiota of a 6-month-old stunted Malawian infant and fed recipient animals a prototypic Malawian diet with or without purified sialylated bovine milk oligosaccharides (S-BMO). S-BMO produced a microbiota-dependent augmentation of lean body mass gain, changed bone morphology, and altered liver, muscle, and brain metabolism in ways indicative of a greater ability to utilize nutrients for anabolism. These effects were also documented in gnotobiotic piglets using the same consortium and Malawian diet. These preclinical models indicate a causal, microbiota-dependent relationship between S-BMO and growth promotion.
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Treatment with purified sialylated bovine milk oligosaccharides produced microbiota-dependent growth promotion in mice colonized with fecal microbiota from a growth-stunted Malawian infant, including lean body mass gain, changed bone morphology, and altered liver, muscle and brain metabolism.
“Treatment with the milk oligosaccharides produced microbiota-dependent growth promotion, including lean body mass gain, changed bone morphology, and altered liver, muscle and brain metabolism.”
From The athletic gut microbiota (2020) · cites this paper as [166]
Preclinical models indicate a causal, microbiota-dependent relationship between nutrition and growth promotion, which may have implications for younger athletes.
“These preclinical models indicate a causal, microbiota-dependent relationship between nutrition and growth promotion which may have implications for younger athletes.”
From The athletic gut microbiota (2020) · cites this paper as [166]
Disrupted microbiota development impairs healthy bone and muscle growth during infancy.
“This has led to the proposal that disrupted microbiota development impairs healthy bone and muscle growth during infancy [166].”
From The athletic gut microbiota (2020) · cites this paper as [166]
The same effects were documented in gnotobiotic piglets, showing a greater ability to utilize nutrients from the diet.
“These effects were also documented in gnotobiotic piglets using a similar design showing a greater ability to utilize nutrients from the diet [166].”
From The athletic gut microbiota (2020) · cites this paper as [166]
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Self-citation
- Authors
- Charbonneau, M. R., O’Donnell, D., Blanton, L. V., Totten, S. M., Davis, J. C. C., Barratt, M. J., Cheng, J., Guruge, J., Talcott, M., Bain, J. R., Muehlbauer, M. J., Ilkayeva, O., Wu, C., Struckmeyer, T., Barile, D., Mangani, C., Jorgensen, J., Fan, Y.-M., Maleta, K., Dewey, K. G., Ashorn, P., Newgard, C. B., Lebrilla, C., Mills, D. A., & Gordon, J. I.
- Affiliations
- Washington University in St. Louis (US)
- University of California, Davis (US)
- Duke University (US)
- University of Malawi (MW)
- Tampere University (FI)
- Corresponding author
- Gordon, Jeffrey I.
- ORCID
- Charbonneau, Mark R.
- O’Donnell, David
- Blanton, Laura V.
- Davis, Jasmine C.C.
- Barratt, Michael J.
- Cheng, Jiye
- Talcott, Michael
- Bain, James R.
- Muehlbauer, Michael J.
- Ilkayeva, Olga
- Wu, Chao
- Barile, Daniela
- Mangani, Charles
- Jorgensen, Josh
- Fan, Yue-mei
- Maleta, Kenneth
- Dewey, Kathryn G.
- Ashorn, Per
- Newgard, Christopher B.
- Lebrilla, Carlito
- Mills, David A.
- Gordon, Jeffrey I.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2016-02
- Volume
- 164
- Issue
- 5
- Pages
- 859-871
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC4793393
- OpenAlex
- W2288139400
- Cited by
- 606
- References
- 76
- Citations by year
- 2026: 29 · 2025: 37 · 2024: 58 · 2023: 47 · 2022: 57 · 2021: 67 · 2020: 61 · 2019: 67 · 2018: 80 · 2017: 66 · 2016: 36
- FWCI
- 86.63
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 390 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Bill and Melinda Gates Foundation
- NIH (DK30292, DK70977, P30 AR057235)
- Office of Health, Infectious Diseases and Nutrition, Bureau for Global Health, USAID (GHN-A-00-08-00001-00, AID-OAA-A-12-00005)
- Food and Nutrition Technical Assistance II and III Projects (FANTA)
- Academy of Finland (252075)
- Medical Research Fund of Tampere University Hospital (9M004)
- Topics
- Health Sciences › Nursing › Nutrition and Dietetics › Infant Nutrition and Health
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Nursing › Nutrition and Dietetics › Child Nutrition and Water Access
- Keywords
- human milk oligosaccharides, infant malnutrition, stunting, gut microbiota, gnotobiotic pigs, skeletal morphology, hepatic metabolism, muscle metabolism, brain metabolism, anabolism
- MeSH terms
- Animals, Bacteroides fragilis, Bifidobacterium, Brain Chemistry, Child Development, Disease Models, Animal, Escherichia coli, Feces, Germ-Free Life, Humans, Infant, Malawi, Male, Mice, Inbred C57BL, Milk, Milk, Human, Oligosaccharides, Malnutrition, Mice, Metabolomics, Microbiota
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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