Evidence map›Paper›PMID 25398739›Full record

ReviewAdvances in nutrition (Bethesda, Md.)2014

At the dawn of a new discovery: the potential of breast milk stem cells.

Foteini Hassiotou, Peter E Hartmann

Abstract readReview
In one paragraph

Review in Advances in nutrition (Bethesda, Md.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

54 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  13. Epigenetic and Immune Mechanisms Linking Breastfeeding to Lower Breast Cancer Rates.Medical science monitor : international medical journal of experimental and clinical research · 2024
    Review
  14. Feasibility of intranasal human milk as stem cell therapy in preterm infants with intraventricular hemorrhage.Journal of perinatology : official journal of the California Perinatal Association · 2024
    Article
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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

2 authors.

Foteini HassiotouSchool of Chemistry and Biochemistry, Faculty of Science, The University of Western Australia, Crawley, Australia foteini.hassiotou@uwa.edu.au.
Peter E HartmannSchool of Chemistry and Biochemistry, Faculty of Science, The University of Western Australia, Crawley, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast milk contains bioactive molecules that provide a multitude of immunologic, developmental and nutritional benefits to the infant. Less attention has been placed on the cellular nature of breast milk, which contains thousands to millions of maternal cells in every milliliter that the infant ingests. What are the properties and roles of these cells? Most studies have examined breast milk cells from an immunologic perspective, focusing specifically on the leukocytes, mainly in the early postpartum period. In the past decade, research has taken a multidimensional approach to investigating the cells of human milk. Technologic advances in single cell analysis and imaging have aided this work, which has resulted in the breakthrough discovery of stem cells in breast milk with multilineage potential that are transferred to the offspring during breastfeeding. This has generated numerous implications for both infant and maternal health and regenerative medicine. This review summarizes the latest knowledge on breast milk stem cells, and discusses their known in vitro and in vivo attributes as well as potential functions and applications.

Indexed as

Breast FeedingFemaleHumansLactationMilk, HumanPostpartum PeriodStem Cells

Identifiers

PMID25398739
PMCPMC4224213

What OpenQuestion holds

Textmetadata
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.