Evidence map›Paper›PMID 31921063›Full record

ArticleFrontiers in microbiology2019

Microbial Communities in Human Milk Relate to Measures of Maternal Weight.

Sara N Lundgren, Juliette C Madan, Margaret R Karagas, Hilary G Morrison, Anne G Hoen, Brock C Christensen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
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

26 citing papers in PubMed, 42 citations in OpenAlex.

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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

6 authors at 2 institutions in 2 countries.

Sara N LundgrenDepartment of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, United States.
Juliette C MadanDepartment of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, United States.
Margaret R KaragasDepartment of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, United States.
Hilary G MorrisonJosephine Bay Paul Center, Marine Biological Laboratory, Woods Hole, MA, United States.
Anne G HoenDepartment of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, United States.
Brock C ChristensenDepartment of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, United States.
Dartmouth College · USMarine Biological Laboratory · US

Funding

VARIATION IN BIOACCUMULATION AND BIOMAGNIFICATION OF METALS IN NORTHERN US LAKESP42ES007373 · NIEHS · DARTMOUTH COLLEGE · PI STANTON, BRUCE A. · 1995 to 2019
$52.0M
Relation Between In-utero Vitamin D and Immune Function in Early Childhood P20GM104416 · NIGMS · DARTMOUTH COLLEGE · PI KARAGAS, MARGARET RITA · 2013 to 2022
$23.7M
Project 3: Placental Biomarkers of Exposure and Outcome (Marsit)P01ES022832 · NIEHS · DARTMOUTH COLLEGE · PI KARAGAS, MARGARET RITA · 2013 to 2018
$4.7M
(PQ3) Immune epigenetic biomarkers of bladder cancer outcomesR01CA216265 · NCI · DARTMOUTH COLLEGE · PI CHRISTENSEN, BROCK CLARKE · 2017 to 2021
$2.9M
MicroRNA related genetic variation and head and neck cancerR01DE022772 · NIDCR · DARTMOUTH COLLEGE · PI CHRISTENSEN, BROCK CLARKE · 2013 to 2016
$2.7M
Multi-omic Functional Integration Using NetworksR01LM012723 · NLM · DARTMOUTH COLLEGE · PI HOEN, ANNE GATEWOOD · 2017 to 2020
$1.4M
Bioinformatics strategies for early life microbiomicsK01LM011985 · NLM · DARTMOUTH COLLEGE · PI HOEN, ANNE GATEWOOD · 2014 to 2016
$345k
NCI NIH HHS R01 CA216265NIDCR NIH HHS R01 DE022772NIEHS NIH HHS P01 ES022832NIEHS NIH HHS P42 ES007373NIGMS NIH HHS P20 GM104416NLM NIH HHS K01 LM011985NLM NIH HHS R01 LM012723
6 · The paper itself

Abstract

The process of breastfeeding exposes infants to bioactive substances including a diversity of bacteria from breast milk as well as maternal skin. Knowledge of the character of and variation in these microbial communities, as well as the factors that influence them, is limited. We aimed to identify profiles of breastfeeding-associated microbial communities and their association with maternal and infant factors. Bilateral milk samples were collected from women in the New Hampshire Birth Cohort Study at approximately 6 weeks postpartum without sterilization of the skin in order to capture the infant-relevant exposure. We sequenced the V4-V5 hypervariable region of the bacterial 16S rRNA gene in 155 human milk samples. We used unsupervised clustering (partitioning around medoids) to identify microbial profiles in milk samples, and multinomial logistic regression to test their relation with maternal and infant variables. Associations between alpha diversity and maternal and infant factors were tested with linear models. Four breastfeeding microbiome types (BMTs) were identified, which differed in alpha diversity and in

Indexed as

16S rRNA gene sequencingBMIgestational weight gainhuman milkmicrobiome

Identifiers

PMID31921063
PMCPMC6933483
OpenAlexW2994939098

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.