Evidence map›Paper›PMID 26870786›Full record

ArticleEBioMedicine2015

Whole Genome Analysis of Injectional Anthrax Identifies Two Disease Clusters Spanning More Than 13 Years.

Paul Keim, Roland Grunow, Richard Vipond, Gregor Grass, Alex Hoffmaster, Dawn N Birdsell, Silke R Klee, Steven Pullan, Markus Antwerpen, Brittany N Bayer and 7 more

Open access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

20 citing papers in PubMed, 39 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 8 institutions in 3 countries.

Paul KeimThe Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, AZ 86011-4073, USA; The Pathogen Genomics Division, The Translational Genomics Research Institute, 3051 W. Shamrell Blvd, Suite 106, Flagstaff, AZ 86001 USA.
Roland GrunowThe Robert Koch Institute, Berlin, Germany.
Richard VipondPublic Health England, Porton Down, Wiltshire SP4 0JG, United Kingdom; NIHR Health Protection Research Unit in Emerging and Zoonotic Infections, Liverpool L69 7BE, United Kingdom.
Gregor GrassBundeswehr Institute of Microbiology, Munich, Germany.
Alex HoffmasterThe Center for Disease Control and Prevention, Atlanta, GA, USA.
Dawn N BirdsellThe Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, AZ 86011-4073, USA.
Silke R KleeThe Robert Koch Institute, Berlin, Germany.
Steven PullanPublic Health England, Porton Down, Wiltshire SP4 0JG, United Kingdom; NIHR Health Protection Research Unit in Emerging and Zoonotic Infections, Liverpool L69 7BE, United Kingdom.
Markus AntwerpenPublic Health England, Porton Down, Wiltshire SP4 0JG, United Kingdom.
Brittany N BayerThe Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, AZ 86011-4073, USA.
Jennie LathamPublic Health England, Porton Down, Wiltshire SP4 0JG, United Kingdom.
Kristin WigginsThe Pathogen Genomics Division, The Translational Genomics Research Institute, 3051 W. Shamrell Blvd, Suite 106, Flagstaff, AZ 86001 USA.
Crystal HeppThe Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, AZ 86011-4073, USA.
Talima PearsonThe Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, AZ 86011-4073, USA.
Tim BrooksPublic Health England, Porton Down, Wiltshire SP4 0JG, United Kingdom; NIHR Health Protection Research Unit in Emerging and Zoonotic Infections, Liverpool L69 7BE, United Kingdom.
Jason SahlThe Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, AZ 86011-4073, USA; The Pathogen Genomics Division, The Translational Genomics Research Institute, 3051 W. Shamrell Blvd, Suite 106, Flagstaff, AZ 86001 USA.
David M WagnerThe Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, AZ 86011-4073, USA.
Northern Arizona University · USPublic Health England · GBRobert Koch Institute · DECenters for Disease Control and Prevention · USHealth Protection Research Unit in Emerging and Zoonotic Infections at University of Liverpool · GBTranslational Genomics Research Institute · USUniversität der Bundeswehr München · DEUniversity of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnthrax is a rare disease in humans but elicits great public fear because of its past use as an agent of bioterrorism. Injectional anthrax has been occurring sporadically for more than ten years in heroin consumers across multiple European countries and this outbreak has been difficult to trace back to a source.

methodsWe took a molecular epidemiological approach in understanding this disease outbreak, including whole genome sequencing of Bacillus anthracis isolates from the anthrax victims. We also screened two large strain repositories for closely related strains to provide context to the outbreak.

findingsAnalyzing 60 Bacillus anthracis isolates associated with injectional anthrax cases and closely related reference strains, we identified 1071 Single Nucleotide Polymorphisms (SNPs). The synapomorphic SNPs (350) were used to reconstruct phylogenetic relationships, infer likely epidemiological sources and explore the dynamics of evolving pathogen populations. Injectional anthrax genomes separated into two tight clusters: one group was exclusively associated with the 2009-10 outbreak and located primarily in Scotland, whereas the second comprised more recent (2012-13) cases but also a single Norwegian case from 2000.

interpretationGenome-based differentiation of injectional anthrax isolates argues for at least two separate disease events spanning > 12 years. The genomic similarity of the two clusters makes it likely that they are caused by separate contamination events originating from the same geographic region and perhaps the same site of drug manufacturing or processing. Pathogen diversity within single patients challenges assumptions concerning population dynamics of infecting B. anthracis and host defensive barriers for injectional anthrax.

fundingThis work was supported by the United States Department of Homeland Security grant no. HSHQDC-10-C-00,139 and via a binational cooperative agreement between the United States Government and the Government of Germany. This work was supported by funds from the German Ministry of Defense (Sonderforschungsprojekt 25Z1-S-431,214). Support for sequencing was also obtained from Illumina, Inc. These sources had no role in the data generation or interpretation, and had not role in the manuscript preparation. PANEL 1 RESEARCH IN CONTEXT SYSTEMATIC REVIEW: We searched PubMed for any article published before Jun. 17, 2015, with the terms "Bacillus anthracis" and "heroin", or "injectional anthrax". Other than our previously published work (Price et al., 2012), we found no other relevant studies on elucidating the global phylogenetic relationships of B. anthracis strains associated with injectional anthrax caused by recreational heroin consumption of spore-contaminated drug. There were, however, publically available genome sequences of two strains involved (Price et al., 2012, Grunow et al., 2013) and the draft genome sequence of Bacillus anthracis UR-1, isolated from a German heroin user (Ruckert et al., 2012) with only limited information on the genotyping of closely related strains (Price et al., 2012, Grunow et al., 2013). LAY PERSON

interpretationInjectional anthrax has been plaguing heroin drug users across Europe for more than 10 years. In order to better understand this outbreak, we assessed genomic relationships of all available injectional anthrax strains from four countries spanning a > 12 year period. Very few differences were identified using genome-based analysis, but these differentiated the isolates into two distinct clusters. This strongly supports a hypothesis of at least two separate anthrax spore contamination events perhaps during the drug production processes. Identification of two events would not have been possible from standard epidemiological analysis. These comprehensive data will be invaluable for classifying future injectional anthrax isolates and for future geographic attribution.

Indexed as

Genome, BacterialGenomicsAnthraxBacillus anthracisCluster AnalysisDisease OutbreaksDrug UsersHumansMolecular EpidemiologyPhylogenyPhylogeographyPolymorphism, Single NucleotideSequence Analysis, DNASpatio-Temporal AnalysisBacillus anthracisHeroinInjectional AnthraxPhylogenySNPWhole Genome Sequencing

Identifiers

PMID26870786
PMCPMC4740342
OpenAlexW1824197653

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LicenceCC BY-NC-ND
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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.