Evidence map›Paper›PMID 33187120›Full record

Observational studyNutrients2020

Metabolomic and Metataxonomic Fingerprinting of Human Milk Suggests Compositional Stability over a Natural Term of Breastfeeding to 24 Months.

Natalie S Shenker, Alvaro Perdones-Montero, Adam Burke, Sarah Stickland, Julie A K McDonald, Kate Alexander-Hardiman, James Flanagan, Zoltan Takats, Simon J S Cameron

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 24% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Macronutrient concentrations in human milk beyond the first half year of lactation: a cohort study.Archives of disease in childhood. Fetal and neonatal edition · 2025
    Article
  3. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Natalie S ShenkerDepartment of Surgery and Cancer, Imperial College London, London W12 0HS, UK.ORCID 0000-0002-8067-1079
Alvaro Perdones-MonteroDepartment of Metabolism, Digestion and Reproduction, Imperial College London, London SW7 2AZ, UK.
Adam BurkeDepartment of Metabolism, Digestion and Reproduction, Imperial College London, London SW7 2AZ, UK.
Sarah SticklandDepartment of Metabolism, Digestion and Reproduction, Imperial College London, London SW7 2AZ, UK.
Julie A K McDonaldDepartment of Metabolism, Digestion and Reproduction, Imperial College London, London SW7 2AZ, UK.
Kate Alexander-HardimanDepartment of Metabolism, Digestion and Reproduction, Imperial College London, London SW7 2AZ, UK.
James FlanaganDepartment of Surgery and Cancer, Imperial College London, London W12 0HS, UK.
Zoltan TakatsDepartment of Metabolism, Digestion and Reproduction, Imperial College London, London SW7 2AZ, UK.
Simon J S CameronInstitute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast BT9 5DL, UK.
Imperial College London · GBQueen's University Belfast · GB

Funding

Biotechnology and Biological Sciences Research Council BB/L020858/1Medical Research Council MR/P028225/1Medical Research Council MR/S017437/1UK Research and Innovation MR/S017437/1Waters Corporation P49313Wellcome Trust 204786/Z/16/Z
6 · The paper itself

Abstract

Sparse data exist regarding the normal range of composition of maternal milk beyond the first postnatal weeks. This single timepoint, observational study in collaboration with the 'Parenting Science Gang' citizen science group evaluated the metabolite and bacterial composition of human milk from 62 participants (infants aged 3-48 months), nearly 3 years longer than previous studies. We utilised rapid evaporative ionisation mass spectrometry (REIMS) for metabolic fingerprinting and 16S rRNA gene metataxonomics for microbiome composition analysis. Milk expression volumes were significantly lower beyond 24 months of lactation, but there were no corresponding changes in bacterial load, composition, or whole-scale metabolomic fingerprint. Some individual metabolite features (~14%) showed altered abundances in nursling age groups above 24 months. Neither milk expression method nor nursling sex affected metabolite and metataxonomic fingerprints. Self-reported lifestyle factors, including diet and physical traits, had minimal impact on metabolite and metataxonomic fingerprints. Our findings suggest remarkable consistency in human milk composition over natural-term lactation. The results add to previous studies suggesting that milk donation can continue up to 24 months postnatally. Future longitudinal studies will confirm the inter-individual and temporal nature of compositional variations and the use of donor milk as a personalised therapeutic.

Indexed as

MicrobiotaAdultBacteriaBacteriological TechniquesBreast FeedingFemaleHumansLactationMetabolomicsMilk, HumanMothersRNA, Ribosomal, 16SRNA, Ribosomal, 16Shuman milkmetabolomic fingerprintingmetataxonomics

Identifiers

PMID33187120
PMCPMC7697254
OpenAlexW3102915010

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.