Evidence map›Paper›PMID 31935821›Full record

ArticleNutrients2020

Sexually Dimorphic Associations between Maternal Factors and Human Milk Hormonal Concentrations.

Laura Galante, Hanna Lagström, Mark H Vickers, Clare M Reynolds, Samuli Rautava, Amber M Milan, David Cameron-Smith, Shikha Pundir

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 7% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Gestational Diabetes Mellitus and Colostral Appetite-Regulating Adipokines.International journal of molecular sciences · 2024
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Human Milk Metabolic Hormones: Analytical Methods and Current Understanding.International journal of molecular sciences · 2021
    Review
  13. The need to study human milk as a biological system.The American journal of clinical nutrition · 2021
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
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

8 authors at 3 institutions in 3 countries.

Laura GalanteThe Liggins Institute, University of Auckland, Auckland 1023, New Zealand.ORCID 0000-0002-6190-7955
Hanna LagströmDepartment of Public Health, University of Turku and Turku University Hospital, 20014 Turku, Finland.ORCID 0000-0002-5069-6582
Mark H VickersThe Liggins Institute, University of Auckland, Auckland 1023, New Zealand.ORCID 0000-0003-4876-9356
Clare M ReynoldsThe Liggins Institute, University of Auckland, Auckland 1023, New Zealand.
Samuli RautavaDepartment of Pediatrics, University of Turku and Turku University Hospital, 20521 Turku, Finland.
Amber M MilanThe Liggins Institute, University of Auckland, Auckland 1023, New Zealand.ORCID 0000-0002-9559-7326
David Cameron-SmithThe Liggins Institute, University of Auckland, Auckland 1023, New Zealand.ORCID 0000-0002-0144-5816
Shikha PundirThe Liggins Institute, University of Auckland, Auckland 1023, New Zealand.
University of Auckland · NZUniversity of Turku · FIAgency for Science, Technology and Research · SG

Funding

Academy of Finland 121569 and 123571University of Auckland 3716954University of Auckland Foundation 3708092
6 · The paper itself

Abstract

While human milk composition is characterised by marked dynamicity, we are far from having a clear picture of what factors drive this variation. Hormones in human milk are known to vary according to specific maternal phenotypes, but limited evidence shows the infant also has a role in determining milk composition. The present study aimed to investigate the interplay between maternal and infant characteristics in relation to human milk hormonal profile. In total, 501 human milk samples from mothers recruited in the Finnish STEPS cohort study (Steps to the healthy development) were analysed. Pre-pregnancy and pregnancy maternal data, socioeconomic status and infant characteristics at birth were collated. Leptin, adiponectin, insulin-like growth factor-1 and cyclic Glycine-Proline in milk were measured. Multivariate analysis of variance (MANOVA) and linear regression were utilised for statistical analysis. Sex-specific interactions with maternal factors were observed, as the infant sex mediated associations between gestational diabetes and milk adiponectin (

Indexed as

Body Mass IndexDiabetes, GestationalAdiponectinAdultBody WeightBreast FeedingCesarean SectionFemaleHumansInfant, NewbornInsulin-Like Growth Factor ILactationLeptinMaleMilk, HumanMothersAdiponectinADIPOQ protein, humancyclic glycine-prolineIGF1 protein, humanInsulin-Like Growth Factor ILeptinPeptides, CyclicProteinsAdiponectinBody mass indexBreastmilk compositioncGPGestational diabetesIGF-1LeptinProteinSex-specific milk composition

Identifiers

PMID31935821
PMCPMC7019968
OpenAlexW2996924457

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.