Evidence map›Paper›PMID 31347944›Full record

ArticleGut microbes2020

Compositional analyses reveal correlations between taxon-level gut bacterial abundance and peripheral T cell marker expression in African infants.

Bryan P Brown, Heather B Jaspan

Open access · goldAbstract read
In one paragraph

Article in Gut microbes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

2 authors at 1 institution in 2 countries.

Bryan P BrownCenter for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, DC, USA.ORCID 0000-0002-4476-6150
Heather B JaspanCenter for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, DC, USA.ORCID 0000-0002-0745-6073
Center for Infectious Disease Research · US

Funding

University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI EDWIN ROBERTO ORELLANA · 1988 to 2026
$104.9M
Assessing feeding practices, immune activation, and HIV risk in African infantsK08HD069201 · NICHD · SEATTLE CHILDREN'S HOSPITAL · PI JASPAN, HEATHER BERYL · 2011 to 2015
$644k
NIAID NIH HHS P30 AI027757NICHD NIH HHS K08 HD069201
6 · The paper itself

Abstract

Although exclusive breastfeeding has been linked to lower rates of postnatal HIV transmission compared to nonexclusive breastfeeding, mechanisms underlying this are unclear. Across a longitudinally sampled cohort of South African infants, we showed that exclusively breastfed (EBF) infants had altered gut bacterial communities when compared to nonexclusively breastfed (NEBF) infants, as well as reduced peripheral CD4 + T cell activation and lowered chemokine and chemokine receptor expression in the oral mucosa. We further demonstrated that the relative abundance of key taxa was correlated with peripheral CD4 + T cell activation. Here, we supplement those findings by using compositional data analyses to identify shifts in the abundance of several

Indexed as

Breast FeedingGastrointestinal MicrobiomeBacteriaBacteroidesBifidobacteriumCD4 Lymphocyte CountCohort StudiesEscherichiaGenes, BacterialHIV InfectionsHumansInfantInfant, NewbornInfectious Disease Transmission, VerticalIntraepithelial LymphocytesLongitudinal StudiesReceptors, ChemokineRNA, Ribosomal, 16SBacterial microbiotacompositional transformfeedingmucosal gene expressionSouth AfricaT cell activation

Identifiers

PMID31347944
PMCPMC7053881
OpenAlexW2965486469

What OpenQuestion holds

Textmetadata
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.