Evidence map›Paper›PMID 39345284›Full record

ArticleGates open research2022

Characterization of longitudinal nasopharyngeal microbiome patterns in maternally HIV-exposed Zambian infants.

Aubrey R Odom, Christopher J Gill, Rachel Pieciak, Arshad Ismail, Donald Thea, William B MacLeod, W Evan Johnson, Rotem Lapidot

Abstract read
In one paragraph

Article in Gates open research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Aubrey R OdomBioinformatics Program, Boston University, Boston, MA, 02118, USA.ORCID 0000-0001-7113-7598
Christopher J GillDepartment of Global Health, Boston University School of Public Health, Boston, MA, 02118, USA.ORCID 0000-0003-3353-0617
Rachel PieciakDepartment of Global Health, Boston University School of Public Health, Boston, MA, 02118, USA.ORCID 0000-0002-1514-5320
Arshad IsmailSequencing Core Facility, National Institute for Communicable Diseases of the National Health Laboratory Service, 2131 Johannesburg, South Africa.ORCID 0000-0003-4672-5915
Donald TheaDepartment of Global Health, Boston University School of Public Health, Boston, MA, 02118, USA.
William B MacLeodDepartment of Global Health, Boston University School of Public Health, Boston, MA, 02118, USA.ORCID 0000-0001-8003-8874
W Evan JohnsonBioinformatics Program, Boston University, Boston, MA, 02118, USA.
Rotem LapidotPediatric Infectious Diseases, Boston Medical Center, Boston, MA, 02118, USA.

Funding

Multidisciplinary Training Program in Cardiovascular EpidemiologyT32HL125232 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Matthew G. Nayor, Vanessa Xanthakis · 2016 to 2026
$5.0M
Biomarker Signatures of TB Infection in Young Children With and Without HIVR01AI175315 · NIAID · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI Jerrold J. Ellner, William Evan Johnson · 2023 to 2026
$4.2M
Predoctoral Training in Bioinformatics and Computational BiologyT32GM100842 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI TULLIUS, THOMAS D · 2012 to 2022
$2.8M
Removing batch effects in high-throughput biomedical studiesR01GM127430 · NIGMS · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI William Evan Johnson · 2018 to 2026
$2.4M
SAMIPS-NPC: Southern Africa Mother Infant Pertussis Study, Nasopharyngeal CarriageR01AI133080 · NIAID · BOSTON UNIVERSITY MEDICAL CAMPUS · PI GILL, CHRISTOPHER J, MWANANYANDA, LAWRENCE · 2017 to 2019
$2.3M
Signature of profiling and staging the progression of TB from infection to disease.R21AI154387 · NIAID · BOSTON UNIVERSITY MEDICAL CAMPUS · PI JOHNSON, WILLIAM EVAN · 2020 to 2021
$468k
NHLBI NIH HHS T32 HL125232NIAID NIH HHS R01 AI133080NIAID NIH HHS R01 AI175315NIAID NIH HHS R21 AI154387NIGMS NIH HHS R01 GM127430NIGMS NIH HHS T32 GM100842
6 · The paper itself

Abstract

Background: Previous studies of infants born to HIV-positive mothers have linked HIV exposure to poor outcomes from gastrointestinal and respiratory illnesses, and to overall increased mortality rates. The mechanism behind this is unknown, but it is possible that differences in the nasopharyngeal (NP) microbiome between infants who are HIV-unexposed or HIV-exposed could play a role in perpetuating some outcomes. Methods: We conducted a longitudinal analysis of 170 NP swabs of healthy infants who are HIV-exposed (n=10) infants and their HIV(+) mothers, and infants who are HIV-unexposed, uninfected (HUU; n=10) .and their HIV(-) mothers. These swabs were identified from a sample library collected in Lusaka, Zambia between 2015 and 2016. Using 16S rRNA gene sequencing, we characterized the maturation of the microbiome over the first 14 weeks of life to determine what quantifiable differences exist between HIV-exposed and HUU infants, and what patterns are reflected in the mothers' NP microbiomes. Results: In both HIV-exposed and HUU infants, Conclusions: Our analyses indicate that the HIV-exposed infants in our study exhibit subtle differences in the NP microbial composition throughout the sampling interval. Given our results and the sampling limitations of our study, we believe that further research must be conducted in order to confidently understand the relationship between HIV exposure and infants' NP microbiomes.

Indexed as

HIV InfectionsInfectious Disease Transmission, VerticalMicrobiotaNasopharynxAdultFemaleHumansInfantInfant, NewbornLongitudinal StudiesMaleMothersPregnancyPregnancy Complications, InfectiousRNA, Ribosomal, 16SZambiaRNA, Ribosomal, 16SchildrenHIV exposurelongitudinal cohort studymicrobial communitiesnasopharyngeal microbiome

Identifiers

PMID39345284
PMCPMC11427455

What OpenQuestion holds

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Registered trials

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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.