ReviewFrontiers in nutrition2026
Impact of processing techniques on donor human milk: a multi-omics and bioinformatics scoping review.
Review in Frontiers in nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Development of a sequential digestion workflow for dual-platform microplastic analysis in pasteurized donor human milk using µ-FTIR and Py-GC/MS.Analytical and bioanalytical chemistry · 2026Article
- Functional shifts in immune composition follow lactation stage in human milk.Frontiers in immunology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Mothers' milk is the optimal source of nutrition for infants. When unavailable, pasteurized donor human milk (PDHM) is the recommended alternative, particularly for premature neonates at a risk of food insecurity. However, processing methods, such as pasteurization, can alter the nutritional and bioactive composition of milk. This scoping review synthesizes current evidence from multi-omics technologies and bioinformatics to characterize the biochemical impact of processing on PDHM and identify knowledge gaps. Methods: A systematic literature search was conducted using five databases (Medline, EMBASE, Scopus, LILACS, and Web of Science) in accordance with the PRISMA Extension for Scoping Reviews (PRISMA-ScR) guidelines. Observational and descriptive studies characterizing the proteome, glycome, lipidome, or metabolome of pasteurized milk using high-resolution analytical techniques such as mass spectrometry or nuclear magnetic resonance spectroscopy were included. Of 304 articles screened, 18 met the inclusion criteria. Results: The processing effects varied markedly depending on the biomolecule and the technique. Holder pasteurization (HoP), the most widely used method, causes substantial degradation of key immune proteins (e.g., IgA and lactoferrin) and enzymes. In contrast, human milk oligosaccharides (HMOs) and trace elements remained relatively stable. Alternative methods, including high-temperature short-time (HTST) pasteurization and high-pressure pasteurization (HPP), more effectively preserve the bioactive components. Notably, HoP promotes the formation of Maillard reaction products and advanced glycation end products (AGEs), which may have detrimental biological effects. Conclusion: Multi-omics analyses highlighted a critical trade-off between microbiological safety and the preservation of bioactive integrity in PDHM, particularly with HoP. These technologies are essential for quantifying processing-induced alterations and for guiding the development of improved preservation strategies. Such approaches are pivotal for implementing precise nutritional interventions aimed at optimizing health outcomes in vulnerable neonatal populations.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.