Evidence map›Paper›PMID 36747843›Full record

ArticlebioRxiv : the preprint server for biology2023

Human milk variation is shaped by maternal genetics and impacts the infant gut microbiome.

Kelsey E Johnson, Timothy Heisel, Mattea Allert, Annalee Fürst, Nikhila Yerabandi, Dan Knights, Katherine M Jacobs, Eric F Lock, Lars Bode, David A Fields and 5 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 15 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 5 institutions in 1 country.

Kelsey E JohnsonDepartment of Genetics, Cell Biology, and Development, University of Minnesota, Minneapolis, USA.
Timothy HeiselDivision of Neonatology, Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN, USA.
Mattea AllertDepartment of Genetics, Cell Biology, and Development, University of Minnesota, Minneapolis, USA.
Annalee FürstDepartment of Pediatrics, University of California, San Diego, La Jolla, CA, USA.
Nikhila YerabandiDepartment of Pediatrics, University of California, San Diego, La Jolla, CA, USA.
Dan KnightsBioTechnology Institute, College of Biological Sciences, University of Minnesota, Minneapolis, MN, USA.
Katherine M JacobsDepartment of Obstetrics, Gynecology and Women's Health, Division of Maternal-Fetal Medicine, University of Minnesota Medical School, Minneapolis, MN, USA.
Eric F LockDivision of Biostatistics, University of Minnesota School of Public Health, Minneapolis, MN, USA.
Lars BodeDepartment of Pediatrics, University of California, San Diego, La Jolla, CA, USA.
David A FieldsDepartment of Pediatrics, the University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Michael C RudolphHarold Hamm Diabetes Center, Department of Physiology, the University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Cheryl A GaleDivision of Neonatology, Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN, USA.
Frank W AlbertDepartment of Genetics, Cell Biology, and Development, University of Minnesota, Minneapolis, USA.
Ellen W DemerathDivision of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN, USA.
Ran BlekhmanSection of Genetic Medicine, Division of Biological Sciences, University of Chicago, Chicago, IL, USA.
University of Minnesota · USUniversity of California San Diego · USUniversity of Minnesota Medical Center · USUniversity of Oklahoma Health Sciences Center · USUniversity of Chicago · US

Funding

ULTRASTRUCTURE AND CYTOMORPHOLOGY COREP30DK042086 · NIDDK · UNIVERSITY OF CHICAGO · PI LIU, CAMBRIAN YANGSHAO · 1990 to 2025
$29.8M
Maternal Obesity, Milk Composition, and Infant GrowthR01HD080444 · NICHD · UNIVERSITY OF MINNESOTA · PI ELLEN W. DEMERATH, DAVID A FIELDS · 2014 to 2026
$6.4M
Genomic approaches for dissecting regulatory variationR35GM124676 · NIGMS · UNIVERSITY OF MINNESOTA · PI Frank Wolfgang Albert · 2017 to 2026
$4.6M
Milk-Omics: Systems Biology of Human Milk and Its Links to Maternal and Infant HealthR01HD109830 · NICHD · UNIVERSITY OF MINNESOTA · PI Ran Blekhman, ELLEN W. DEMERATH · 2022 to 2026
$3.5M
Gut Microbiomes and Early Human NeurodevelopmentR21HD099473 · NICHD · UNIVERSITY OF MINNESOTA · PI GALE, CHERYL A., GEORGIEFF, MICHAEL K. · 2019 to 2020
$424k
Genetics and genomics of human breast milk compositionF32HD105364 · NICHD · UNIVERSITY OF MINNESOTA · PI JOHNSON, KELSEY ELIZABETH · 2021 to 2023
$165k
NICHD NIH HHS F32 HD105364NICHD NIH HHS R01 HD080444NICHD NIH HHS R01 HD109830NICHD NIH HHS R21 HD099473NIDDK NIH HHS P30 DK042086NIGMS NIH HHS R35 GM124676
6 · The paper itself

Abstract

Human milk is a complex mix of nutritional and bioactive components that provide complete nutrition for the infant. However, we lack a systematic knowledge of the factors shaping milk composition and how milk variation influences infant health. Here, we used multi-omic profiling to characterize interactions between maternal genetics, milk gene expression, milk composition, and the infant fecal microbiome in 242 exclusively breastfeeding mother-infant pairs. We identified 487 genetic loci associated with milk gene expression unique to the lactating mammary gland, including loci that impacted breast cancer risk and human milk oligosaccharide concentration. Integrative analyses uncovered connections between milk gene expression and infant gut microbiome, including an association between the expression of inflammation-related genes with IL-6 concentration in milk and the abundance of

Identifiers

PMID36747843
PMCPMC9900818
OpenAlexW4317951793

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.