Evidence map›Paper›PMID 30850636›Full record

ArticleNature communications2019

Global monitoring of antimicrobial resistance based on metagenomics analyses of urban sewage.

Rene S Hendriksen, Patrick Munk, Patrick Njage, Bram van Bunnik, Luke McNally, Oksana Lukjancenko, Timo Röder, David Nieuwenhuijse, Susanne Karlsmose Pedersen, Jette Kjeldgaard and 24 more

Abstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 504 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
504citing papers in PubMed, 2 pooled it
–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

504 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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444 more citing papers are in PubMed but not listed here.

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

34 authors.

Rene S HendriksenNational Food Institute, Technical University of Denmark, Kgs. Lyngby, 2800, Denmark.
Patrick MunkNational Food Institute, Technical University of Denmark, Kgs. Lyngby, 2800, Denmark.ORCID http://orcid.org/0000-0001-8813-4019
Patrick NjageNational Food Institute, Technical University of Denmark, Kgs. Lyngby, 2800, Denmark.
Bram van BunnikUsher Institute, University of Edinburgh, Edinburgh, EH8 9AG, UK.ORCID http://orcid.org/0000-0003-2177-7073
Luke McNallyCentre for Synthetic and Systems Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, EH9 3JD, UK.
Oksana LukjancenkoNational Food Institute, Technical University of Denmark, Kgs. Lyngby, 2800, Denmark.
Timo RöderNational Food Institute, Technical University of Denmark, Kgs. Lyngby, 2800, Denmark.
David NieuwenhuijseViroscience, Erasmus Medical Center, Rotterdam, 3015, The Netherlands.
Susanne Karlsmose PedersenNational Food Institute, Technical University of Denmark, Kgs. Lyngby, 2800, Denmark.
Jette KjeldgaardNational Food Institute, Technical University of Denmark, Kgs. Lyngby, 2800, Denmark.
Rolf S KaasNational Food Institute, Technical University of Denmark, Kgs. Lyngby, 2800, Denmark.
Philip Thomas Lanken Conradsen ClausenNational Food Institute, Technical University of Denmark, Kgs. Lyngby, 2800, Denmark.
Josef Korbinian VogtNational Food Institute, Technical University of Denmark, Kgs. Lyngby, 2800, Denmark.
Pimlapas LeekitcharoenphonNational Food Institute, Technical University of Denmark, Kgs. Lyngby, 2800, Denmark.
Milou G M van de SchansRIKILT Wageningen University and Research, Wageningen, 6708, The Netherlands.
Tina ZuidemaRIKILT Wageningen University and Research, Wageningen, 6708, The Netherlands.
Ana Maria de Roda HusmanNational Institute for Public Health and the Environment (RIVM), Bilthoven, 3721, The Netherlands.
Simon RasmussenDepartment of Bio and Health Informatics, Technical University of Denmark, Kgs. Lyngby, 2800, Denmark.ORCID http://orcid.org/0000-0001-6323-9041
Bent PetersenDepartment of Bio and Health Informatics, Technical University of Denmark, Kgs. Lyngby, 2800, Denmark.
Global Sewage Surveillance project consortium
Clara AmidEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, CB10 1SD, UK.
Guy CochraneEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, CB10 1SD, UK.
Thomas Sicheritz-PontenCentre of Excellence for Omics-Driven Computational Biodiscovery, AIMST University, Kedah, 08100, Malaysia.
Heike SchmittNational Institute for Public Health and the Environment (RIVM), Bilthoven, 3721, The Netherlands.
Jorge Raul Matheu AlvarezWorld Health Organization, Geneva, 1202, Switzerland.
Awa Aidara-KaneWorld Health Organization, Geneva, 1202, Switzerland.
Sünje J PampNational Food Institute, Technical University of Denmark, Kgs. Lyngby, 2800, Denmark.
Ole LundDepartment of Bio and Health Informatics, Technical University of Denmark, Kgs. Lyngby, 2800, Denmark.
Tine HaldNational Food Institute, Technical University of Denmark, Kgs. Lyngby, 2800, Denmark.
Mark WoolhouseUsher Institute, University of Edinburgh, Edinburgh, EH8 9AG, UK.
Marion P KoopmansViroscience, Erasmus Medical Center, Rotterdam, 3015, The Netherlands.
Håkan VigreNational Food Institute, Technical University of Denmark, Kgs. Lyngby, 2800, Denmark.
Thomas Nordahl PetersenNational Food Institute, Technical University of Denmark, Kgs. Lyngby, 2800, Denmark.
Frank M AarestrupNational Food Institute, Technical University of Denmark, Kgs. Lyngby, 2800, Denmark. fmaa@food.dtu.dk.ORCID http://orcid.org/0000-0002-7116-2723

Funding

World Health Organization 001
6 · The paper itself

Abstract

Antimicrobial resistance (AMR) is a serious threat to global public health, but obtaining representative data on AMR for healthy human populations is difficult. Here, we use metagenomic analysis of untreated sewage to characterize the bacterial resistome from 79 sites in 60 countries. We find systematic differences in abundance and diversity of AMR genes between Europe/North-America/Oceania and Africa/Asia/South-America. Antimicrobial use data and bacterial taxonomy only explains a minor part of the AMR variation that we observe. We find no evidence for cross-selection between antimicrobial classes, or for effect of air travel between sites. However, AMR gene abundance strongly correlates with socio-economic, health and environmental factors, which we use to predict AMR gene abundances in all countries in the world. Our findings suggest that global AMR gene diversity and abundance vary by region, and that improving sanitation and health could potentially limit the global burden of AMR. We propose metagenomic analysis of sewage as an ethically acceptable and economically feasible approach for continuous global surveillance and prediction of AMR.

Indexed as

Genes, BacterialMetagenomeAfricaAsiaBacteriaDrug Resistance, Multiple, BacterialEpidemiological MonitoringEuropeHumansMetagenomicsMicrobial ConsortiaNorth AmericaOceaniaPopulation HealthSewageSocioeconomic FactorsSewage

Identifiers

PMID30850636
PMCPMC6408512

What OpenQuestion holds

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LicenceCC BY
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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.