Evidence map›Paper›PMID 37330554›Full record

ArticleMicrobiome2023

CRISPR arrays as high-resolution markers to track microbial transmission during influenza infection.

Lingdi Zhang, Jahan Rahman, Matthew Chung, Lauren Lashua, Aubree Gordon, Angel Balmaseda, Guillermina Kuan, Richard Bonneau, Elodie Ghedin

Open access · goldAbstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

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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

9 authors at 4 institutions in 2 countries.

Lingdi ZhangDepartment of Biology, Center for Genomics and Systems Biology, New York University, New York, NY, 10003, USA.
Jahan RahmanDepartment of Biology, Center for Genomics and Systems Biology, New York University, New York, NY, 10003, USA.
Matthew ChungSystems Genomics Section, Laboratory of Parasitic Diseases, National Institutes of Health, NIH, Bethesda, MD, 20894, USA.
Lauren LashuaDepartment of Biology, Center for Genomics and Systems Biology, New York University, New York, NY, 10003, USA.
Aubree GordonDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA.
Angel BalmasedaSustainable Sciences Institute, Managua, Nicaragua.
Guillermina KuanSustainable Sciences Institute, Managua, Nicaragua.
Richard BonneauDepartment of Biology, Center for Genomics and Systems Biology, New York University, New York, NY, 10003, USA.
Elodie GhedinDepartment of Biology, Center for Genomics and Systems Biology, New York University, New York, NY, 10003, USA. elodie.ghedin@nih.gov.
New York University · USMinisterio de Salud · NIUniversity of Michigan · USNational Institutes of Health · US

Funding

Omics-Based Predictive Modeling of Age-Dependent Outcome to Influenza InfectionU01AI111598 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GHEDIN, ELODIE · 2013 to 2017
$13.3M
Genomic profiling of influenza infections to identify biomarkers of disease severityZIAAI001323 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI GHEDIN, ELODIE · 2020 to 2025
$8.0M
Epidemiology, transmission, and phylogenetics of influenza in a tropical countryU01AI088654 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI GORDON, AUBREE L, HARRIS, EVA · 2010 to 2014
$3.2M
NIAID NIH HHS HHSN272201400006CNIAID NIH HHS HHSN272201400031CNIAID NIH HHS U01 AI088654NIAID NIH HHS U01 AI111598
6 · The paper itself

Abstract

backgroundDisruption of the microbial community in the respiratory tract due to infections, like influenza, could impact transmission of bacterial pathogens. Using samples from a household study, we determined whether metagenomic-type analyses of the microbiome provide the resolution necessary to track transmission of airway bacteria. Microbiome studies have shown that the microbial community across various body sites tends to be more similar between individuals who cohabit in the same household than between individuals from different households. We tested whether there was increased sharing of bacteria from the airways within households with influenza infections as compared to control households with no influenza.

resultsWe obtained 221 respiratory samples that were collected from 54 individuals at 4 to 5 time points across 10 households, with and without influenza infection, in Managua, Nicaragua. From these samples, we generated metagenomic (whole genome shotgun sequencing) datasets to profile microbial taxonomy. Overall, specific bacteria and phages were differentially abundant between influenza positive households and control (no influenza infection) households, with bacteria like Rothia, and phages like Staphylococcus P68virus that were significantly enriched in the influenza-positive households. We identified CRISPR spacers detected in the metagenomic sequence reads and used these to track bacteria transmission within and across households. We observed a clear sharing of bacterial commensals and pathobionts, such as Rothia, Neisseria, and Prevotella, within and between households. However, due to the relatively small number of households in our study, we could not determine if there was a correlation between increased bacterial transmission and influenza infection.

conclusionWe observed that airway microbial composition differences across households were associated with what appeared to be different susceptibility to influenza infection. We also demonstrate that CRISPR spacers from the whole microbial community can be used as markers to study bacterial transmission between individuals. Although additional evidence is needed to study transmission of specific bacterial strains, we observed sharing of respiratory commensals and pathobionts within and across households. Video Abstract.

Indexed as

Influenza, HumanMicrobiotaMicrococcaceaeBacteriaClustered Regularly Interspaced Short Palindromic RepeatsHumansMetagenomeInfluenza virusMetagenomicsMicrobiome

Identifiers

PMID37330554
PMCPMC10276449
OpenAlexW4381053555

What Socratic 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 Socratic graph.