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April 8, 2026Critical Reviews in Food Science and Nutrition5 citationsOpen Access

From bench to crib: translating human milk bioactive peptides into infant health interventions

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YAYasuri AmarasekaraASAnwar SunnaJGJ. Bruce German

Key Points

  • The aim is to explore how human milk-derived peptides can improve infant health outcomes.
  • Reviewed literature on human milk peptides and their functions in infant development.
  • Critically analyzed the limitations of current research methods, including in vitro assays and adult models.
  • Proposed a translational approach involving infant-specific models and peptidomics for clinical relevance.
  • Identified gaps in current research pipelines, limiting the understanding of milk peptides' roles.
  • Emphasized the need for testing in models that mimic infant physiology.
  • Outlined a roadmap for future research to support targeted nutrition strategies for infants.

Abstract

Human milk (HM)-derived peptides are emerging as potent modulators of infant development, with roles that extend beyond nutrition to include immune regulation, gut maturation, and neurodevelopment. Yet, the scientific exploration of these peptides remains largely molecular in scope, disconnected from their ultimate purpose: shaping healthy infant outcomes. This review reframes bioactive milk peptides as evolutionarily adapted, function-focused molecules whose effects should be evaluated within the context of infant physiology. We examine the limitations of current discovery pipelines, highlighting the overreliance on in vitro assays, adult-derived models, and supra-physiological dosing, and argue for a translational framework grounded in developmental biology. By integrating peptidomics, infant-specific models, and systems-level validation, we describe a roadmap to identify and prioritize peptides with clinical relevance. This shift in perspective, from molecular activity to developmental impact, establishes the basis for next-generation nutrition strategies and precision therapeutics that mirror the actual biological complexity of early life.

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Cite This Study

Amarasekara et al. (2026) studied this question.

synapsesocial.com/papers/69d5f03374eaea4b11a79a11https://doi.org/10.1080/10408398.2026.2649384
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