Evidence map›Paper›PMID 37556398›Full record

ArticlePloS one2023

Breastfeeding patterns are associated with human milk microbiome composition: The Mother-Infant Microbiomes, Behavior, and Ecology Study (MIMBES).

Elizabeth A Holdsworth, Janet E Williams, Ryan M Pace, Avery A Lane, Maria Gartstein, Mark A McGuire, Michelle K McGuire, Courtney L Meehan

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
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.

Elizabeth A HoldsworthDepartment of Anthropology, Washington State University, Pullman, Washington, United States of America.ORCID 0000-0001-6095-2378
Janet E WilliamsDepartment of Animal, Veterinary and Food Sciences, University of Idaho, Moscow, Idaho, United States of America.
Ryan M PaceMargaret Ritchie School of Family and Consumer Sciences, University of Idaho, Moscow, Idaho, United States of America.
Avery A LaneDepartment of Anthropology, Washington State University, Pullman, Washington, United States of America.
Maria GartsteinDepartment of Psychology, Washington State University, Pullman, Washington, United States of America.
Mark A McGuireDepartment of Animal, Veterinary and Food Sciences, University of Idaho, Moscow, Idaho, United States of America.
Michelle K McGuireMargaret Ritchie School of Family and Consumer Sciences, University of Idaho, Moscow, Idaho, United States of America.
Courtney L MeehanDepartment of Anthropology, Washington State University, Pullman, Washington, United States of America.ORCID 0000-0003-2034-652X

Funding

Genomics Resources Core (GRC)P30GM103324 · NIGMS · UNIVERSITY OF IDAHO · PI SETTLES, MATTHEW · 2013 to 2017
$5.0M
NIGMS NIH HHS P30 GM103324
6 · The paper itself

Abstract

The human milk microbiome (HMM) is hypothesized to be seeded by multiple factors, including the infant oral microbiome during breastfeeding. However, it is not known whether breastfeeding patterns (e.g., frequency or total time) impact the composition of the HMM. As part of the Mother-Infant Microbiomes, Behavior, and Ecology Study (MIMBES), we analyzed data from naturalistic observations of 46 mother-infant dyads living in the US Pacific Northwest and analyzed milk produced by the mothers for its bacterial diversity and composition. DNA was extracted from milk and the V1-V3 region of the 16S rRNA gene was amplified and sequenced. We hypothesized that number of breastfeeding bouts (breastfeeding sessions separated by >30 seconds) and total time breastfeeding would be associated with HMM α-diversity (richness, diversity, or evenness) and differential abundance of HMM bacterial genera. Multiple linear regression was used to examine associations between HMM α-diversity and the number of breastfeeding bouts or total time breastfeeding and selected covariates (infant age, maternal work outside the home, frequency of allomother physical contact with the infant, non-household caregiving network). HMM richness was inversely associated with number of breastfeeding bouts and frequency of allomother physical contact, but not total time breastfeeding. Infants' non-household caregiving network was positively associated with HMM evenness. In two ANCOM-BC analyses, abundances of 5 of the 35 most abundant genera were differentially associated with frequency of breastfeeding bouts (Bifidobacterium, Micrococcus, Pedobacter, Acidocella, Achromobacter); 5 genera (Bifidobacterium, Agreia, Pedobacter, Rugamonas, Stenotrophomonas) were associated with total time breastfeeding. These results indicate that breastfeeding patterns and infant caregiving ecology may play a role in influencing HMM composition. Future research is needed to identify whether these relationships are consistent in other populations and if they are associated with variation in the infant's gastrointestinal (including oral) microbiome.

Indexed as

MicrobiotaMilk, HumanBacteriaBreast FeedingFemaleHumansInfantMothersRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID37556398
PMCPMC10411759

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.