Evidence map›Paper›PMID 35265817›Full record

ArticleiScience2022

The early life microbiota mediates maternal effects on offspring growth in a nonhuman primate.

Lauren Petrullo, Alice Baniel, Matthew J Jorgensen, Sierra Sams, Noah Snyder-Mackler, Amy Lu

Open access · goldAbstract read
In one paragraph

Article in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
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  11. Ecoevolutionary processes structure milk microbiomes across the mammalian tree of life.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  12. Article
  13. 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

6 authors at 5 institutions in 1 country.

Lauren PetrulloDepartment of Psychology, University of Michigan, Ann Arbor, MI 48109, USA.
Alice BanielCenter for Evolution and Medicine, Arizona State University, Tempe, AZ 85281, USA.
Matthew J JorgensenDepartment of Pathology, Section on Comparative Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA.
Sierra SamsParagon Genomics, Hayward, CA 94545, USA.
Noah Snyder-MacklerCenter for Evolution and Medicine, Arizona State University, Tempe, AZ 85281, USA.
Amy LuDepartment of Anthropology, Stony Brook University, Stony Brook, NY 11794, USA.
University of Washington · USArizona State University · USStony Brook University · USUniversity of Michigan · USWake Forest University · US

Funding

Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Vervet Research Colony as a Biomedical ResourceP40OD010965 · OD · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Matthew Jorgensen · 2012 to 2026
$14.6M
NCATS NIH HHS UL1 TR001420NIH HHS P40 OD010965
6 · The paper itself

Abstract

Maternal parity can impact offspring growth, but the mechanisms driving this effect are unclear. Here, we test the hypothesis that vertically transmitted microbiota may be one potential mechanism. We analyzed 118 fecal and milk samples from mother-offspring vervet monkey dyads across the first 6 months of life. Despite poorer milk production, offspring born to low parity females grew larger than their counterparts. These offspring exhibited reduced alpha diversity in the first days of life, stronger seeding of maternal milk microbiota,

Indexed as

MicrobiologyMicrobiome

Identifiers

PMID35265817
PMCPMC8898918
OpenAlexW4212919914

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.