Characterization of Components in Human Milk: A Systematic Review.

Julián Manuel Espitia Angel, Sergio Agudelo-Pérez, Laura Manuela Olarte Bermúdez, Daniela Del Pilar Chaparro Rojas, Sandy Daniela Bonilla Herrera, Mariana Gómez Merchán

Journal: Journal of mother and child 2025;29(1):126-142

PMID: 40966381

Abstract

BACKGROUND/AIMS

The proteome, lipidome, glycome, and metabolome of human milk are critical for newborn nutrition and health, and offer personalised, non-pharmacological interventions. This systematic review aims to characterise the omics components of human milk according to maternal health and lactation phases, summarising current knowledge based on high-resolution analytical techniques.

METHODS

We conducted a systematic review according to the PRISMA 2020 guidelines. The search was performed between August and September 2022 using Medline, EMBASE, Scopus, LILACS, and Web of Science. Observational studies that analysed human milk at any lactation stage using mass spectrometry or nuclear magnetic resonance to characterise nutrients, biomolecules, or bioactive compounds were included. In total, 55 full-text articles were included in this study.

RESULTS

Glycomics is the most frequently studied omics, followed by proteomics, metabolomics, and lipidomics. Analyses revealed that maternal comorbidities and lactation phases influence the composition of human milk. Fucosylated HMOs showed a protective role against infectious diseases, while elevated levels of protease inhibitors were found in milk from allergic mothers and elevated immunoglobulins were present in milk from mothers with COVID-19. Endocannabinoid profile is associated with improved neonatal sucking ability, while fatty acid-derived metabolites are correlated with infant growth. Distinct omics patterns have also been identified in mothers with diabetes, hypothyroidism, and obesity.

CONCLUSION

Understanding the omics profile of human milk can guide precise nutrition and improve human milk substitutes. Further research integrating omics data with maternal and infant outcomes will be essential to advance knowledge and support infant health.

© 2025 Julián Manuel Espitia Angel et al., published by Sciendo.

Address: Department of Pediatrics, School of Medicine, Universidad de La Sabana, Chía, Cundinamarca, Colombia.; Deparment of Pediatrics, School of Medicine, Universidad de La Sabana. Campus Puente del Común, Km 7, Autopista Norte de Bogotá, Chía, Cundinamarca, Colombia.
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