Evidence map›Paper›PMID 40447275›Full record

ArticleThe Journal of infectious diseases2025

Longitudinal Analysis of Nasopharyngeal Microbial Risk Markers for Fatal Acute Febrile Illness in a Zambian Birth Cohort.

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

Abstract read
In one paragraph

Article in The Journal of infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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.

No citing paper in PubMed yet.

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 OdomDivision of Preventative Medicine and Epidemiology, Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts, USA.ORCID 0000-0001-7113-7598
Jessica AndersonDivision of Infectious Disease, Center for Data Science, Rutgers New Jersey Medical School, Newark, New Jersey, USA.ORCID 0000-0002-0542-9872
Christopher J GillDepartment of Global Health, Boston University School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0003-3353-0617
Rachel PieciakDepartment of Global Health, Boston University School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0002-5893-1065
Arshad IsmailSequencing Core Facility, National Institute for Communicable Diseases, National Health Laboratory Service, Johannesburg, South Africa.ORCID 0000-0003-4672-5915
William B MacLeodDepartment of Global Health, Boston University School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0001-8003-8874
W Evan JohnsonDivision of Infectious Disease, Center for Data Science, Rutgers New Jersey Medical School, Newark, New Jersey, USA.ORCID 0000-0002-6247-6595
Rotem LapidotPediatric Infectious Diseases, Boston Medical Center, Boston, Massachusetts, USA.ORCID 0000-0002-4398-1588

Funding

Project-005UL1TR001430 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BAIR-MERRITT, MEGAN H, CENTER, DAVID M. · 2015 to 2024
$52.3M
Multidisciplinary Training Program in Cardiovascular EpidemiologyT32HL125232 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Matthew G. Nayor, Vanessa Xanthakis · 2016 to 2026
$5.0M
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
Bill and Melinda Gates Foundation OPP1105094Infant Pertussis Study: Phase I; and by the National Institute of Allergy and Infectious DiseasesNCATS NIH HHSNCATS NIH HHS UL1 TR001430NHLBI NIH HHS T32 HL125232NHLBI NIH HHS T32HL125232NIAID NIH HHS R01 AI133080NIAID NIH HHS R21 AI154387NIH HHS 1UL1TR001430NIH HHS R01AI133080NIH HHS R21AI154387
6 · The paper itself

Abstract

backgroundFatal acute febrile illness (fAFI) is a known predecessor of many infant mortality events in low-resource settings, but early risk markers for this condition remain poorly understood. Nasopharyngeal (NP) microbiome patterns may influence the severity of these infections.

methodsWe analyzed longitudinal changes in the NP microbiota of Zambian infants with fAFI onset compared to healthy controls, aiming to identify microbial indicators associated with severe illness outcomes. We conducted a pooled analysis of a longitudinal nested case-control study composed of 26 samples from 9 infants who developed fAFI compared with 69 samples from 10 healthy infants. Infants underwent nasopharyngeal sampling from 1 week through 14 weeks of age at 2-2.5-week intervals. We performed 16S rRNA gene amplicon sequencing on all infant NP samples and characterized NP microbiome maturation among infants with febrile acute febrile illness (fAFI+) and healthy controls (fAFI-).

resultsBeta diversity measures of fAFI- infants were markedly higher than those of fAFI+ infants. The fAFI+ infant NP microbiome was marked by lower abundances of Dolosigranulum, Haemophilus, Streptococcus, and Corynebacterium, with higher relative presence of Pseudomonas.

conclusionsOur findings suggest that specific microbial community patterns and early NP microbiome dysbiosis may be associated with increased illness risk. These findings can motivate further studies to inform foundational markers for fAFI in infants, contributing to precision pediatric care.

Indexed as

FeverMicrobiotaNasopharynxBacteriaBiomarkersBirth CohortCase-Control StudiesFemaleHumansInfantInfant, NewbornLongitudinal StudiesMaleRisk FactorsRNA, Ribosomal, 16SZambiaBiomarkersRNA, Ribosomal, 16S16S rRNA sequencingfatal acute febrile illnessmicrobiomenasopharyngealsepsis

Identifiers

PMID40447275
PMCPMC12315046

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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.