Human Milk Oligosaccharides and Hispanic Infant Weight Gain in the First 6 Months

Paige K. Berger, Jasmine F. Plows, Roshonda B. Jones, Tanya L. Alderete, Chloe Yonemitsu, Ji Hoon Ryoo, Lars Bode, Michael I. Goran

Research output: Contribution to journalArticlepeer-review

Abstract

Objective: The aim of this study was to determine whether human milk oligosaccharides (HMOs) at 1 month predicted infant weight gain at 6 months and whether associations varied by HMO secretor status. Methods: Participants were 157 Hispanic mother-infant pairs. Human milk samples were collected at 1 month. Nineteen individual HMOs were analyzed using high-performance liquid chromatography, and secretor status was determined by the presence of 2′-fucosyllactose or lacto-N-fucopentaose (LNFP) I. Infant weight was measured at 1 and 6 months. Path analysis was used to test effects of HMO composition on infant weight gain, adjusting for maternal age, prepregnancy BMI, and infant age, sex, and birth weight. Results: In the total sample, higher LNFPII predicted lower infant weight gain (g1 = −4.1, P = 0.004); this was observed in both nonsecretor (g1 = −3.0, P = 0.006) and secretor groups (g1 = −4.7, P = 0.014). In the nonsecretor group, higher lacto-N-neotetraose (g1 = 7.6, P = 0.011) and disialyllacto-N-tetraose (g1 = 14.3, P = 0.002) predicted higher infant weight gain. There were no other associations in the secretor group. Conclusions: Our data suggest that higher LNFPII in human milk may decrease obesity risk across all infants, whereas higher lacto-N-neotetraose and disialyllacto-N-tetraose may increase obesity risk in infants of nonsecretors only.

Original languageEnglish
Pages (from-to)1519-1525
Number of pages7
JournalObesity
Volume28
Issue number8
DOIs
Publication statusPublished - 2020 Aug 1

Bibliographical note

Funding Information:
The authors thank the participating mothers for their commitment to this research. We also thank Carla Flores, Danielle Garcia, Rosa Rangel, Elizabeth Campbell, and Claudia Rios for coordination and participant recruitment for this project.

All Science Journal Classification (ASJC) codes

  • Medicine (miscellaneous)
  • Endocrinology, Diabetes and Metabolism
  • Endocrinology
  • Nutrition and Dietetics

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