| Title |
Coinfections identified from metagenomic analysis of cervical lymph nodes from tularemia patients
|
|---|---|
| Published in |
BMC Infectious Diseases, July 2018
|
| DOI | 10.1186/s12879-018-3218-2 |
| Pubmed ID | |
| Authors |
D. N. Birdsell, Y. Özsürekci, A. Rawat, A. E. Aycan, C. L. Mitchell, J. W. Sahl, A. Johansson, R. E. Colman, J. M. Schupp, M. Ceyhan, P. S. Keim, D. M. Wagner |
| Abstract |
Underlying coinfections may complicate infectious disease states but commonly go unnoticed because an a priori clinical suspicion is usually required so they can be detected via targeted diagnostic tools. Shotgun metagenomics is a broad diagnostic tool that can be useful for identifying multiple microbes simultaneously especially if coupled with lymph node aspirates, a clinical matrix known to house disparate pathogens. The objective of this study was to analyze the utility of this unconventional diagnostic approach (shotgun metagenomics) using clinical samples from human tularemia cases as a test model. Tularemia, caused by the bacterium Francisella tularensis, is an emerging infectious disease in Turkey. This disease commonly manifests as swelling of the lymph nodes nearest to the entry of infection. Because swollen cervical nodes are observed from many different types of human infections we used these clinical sample types to analyze the utility of shotgun metagenomics. We conducted an unbiased molecular survey using shotgun metagenomics sequencing of DNA extracts from fine-needle aspirates of neck lymph nodes from eight tularemia patients who displayed protracted symptoms. The resulting metagenomics data were searched for microbial sequences (bacterial and viral). F. tularensis sequences were detected in all samples. In addition, we detected DNA of other known pathogens in three patients. Both Hepatitis B virus (HBV) and Human Parvovirus B-19 were detected in one individual and Human Parvovirus B-19 alone was detected in two other individuals. Subsequent PCR coupled with Sanger sequencing verified the metagenomics results. The HBV status was independently confirmed via serological diagnostics, despite evading notice during the initial assessment. Our data highlight that shotgun metagenomics of fine-needle lymph node aspirates is a promising clinical diagnostic strategy to identify coinfections. Given the feasibility of the diagnostic approach demonstrated here, further steps to promote integration of this type of diagnostic capability into mainstream clinical practice are warranted. |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 9% |
| Comoros | 1 | 9% |
| Venezuela, Bolivarian Republic of | 1 | 9% |
| India | 1 | 9% |
| United States | 1 | 9% |
| Unknown | 6 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 64% |
| Scientists | 4 | 36% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 26% |
| Student > Ph. D. Student | 4 | 17% |
| Professor > Associate Professor | 2 | 9% |
| Student > Master | 2 | 9% |
| Unspecified | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 5 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 22% |
| Biochemistry, Genetics and Molecular Biology | 3 | 13% |
| Agricultural and Biological Sciences | 3 | 13% |
| Computer Science | 2 | 9% |
| Immunology and Microbiology | 2 | 9% |
| Other | 1 | 4% |
| Unknown | 7 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 July 2019.
All research outputs
#6,281,955
of 23,567,034 outputs
Outputs from BMC Infectious Diseases
#1,881
of 7,858 outputs
Outputs of similar age
#105,917
of 327,500 outputs
Outputs of similar age from BMC Infectious Diseases
#41
of 163 outputs
Altmetric has tracked 23,567,034 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 7,858 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 75% of its peers.
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We're also able to compare this research output to 163 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.