Back

Nasopharyngeal metatranscriptomics reveals host-pathogen signatures of pediatric sinusitis

Abumazen, N.; Chu, V.; Hunjan, M.; Lobb, B.; Lee, S.; Kurs-Lasky, M.; Williams, J. V.; MacDonald, W.; Johnson, M.; Hirota, J. A.; Shaikh, N.; Doxey, A. C.

2024-03-04 infectious diseases
10.1101/2024.03.03.24303663 medRxiv
Show abstract

Acute sinusitis (AS) is the fifth leading cause of antibiotic prescriptions in children. Distinguishing bacterial AS from common viral upper respiratory infections in children is crucial to prevent unnecessary antibiotic use but is challenging with current diagnostic methods. Despite its speed and cost, untargeted RNA sequencing of clinical samples from children with suspected AS has the potential to overcome several limitations of other methods. However, the utility of sequencing-based approaches in analysis of AS has not been fully explored. Here, we performed RNA-seq of nasopharyngeal samples from 221 children with clinically diagnosed AS to characterize their pathogen and host-response profiles. Results from RNA-seq were compared with those obtained using culture for three common bacterial pathogens and qRT-PCR for 12 respiratory viruses. Metatranscriptomic pathogen detection showed high concordance with culture or qRT-PCR, showing 87%/81% sensitivity (sens) / specificity (spec) for detecting bacteria, and 86%/92% (sens/spec) for viruses, respectively. We also detected an additional 22 pathogens not tested for in the clinical panel, and identified plausible pathogens in 11/19 (58%) of cases where no organism was detected by culture or qRT-PCR. We assembled genomes of 205 viruses across the samples including novel strains of coronaviruses, respiratory syncytial virus (RSV), and enterovirus D68. By analyzing host gene expression, we identified host-response signatures that distinguished bacterial and viral infections and correlated with pathogen abundance. Ultimately, our study demonstrates the potential of untargeted metatranscriptomics for in depth analysis of the etiology of AS, comprehensive host-response profiling, and using these together to work towards optimized patient care. One Sentence SummaryRNA-sequencing of nasopharyngeal samples enables pathogen-detection and host-response profiling in pediatric acute sinusitis.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Science Translational Medicine
111 papers in training set
Top 0.1%
18.6%
2
Nature Communications
4913 papers in training set
Top 10%
14.7%
3
Clinical Infectious Diseases
231 papers in training set
Top 1.0%
4.8%
4
Med
38 papers in training set
Top 0.1%
4.8%
5
Cell
370 papers in training set
Top 5%
4.3%
6
Nature Biotechnology
147 papers in training set
Top 3%
3.6%
50% of probability mass above
7
Cell Reports Medicine
140 papers in training set
Top 2%
3.1%
8
Nature Microbiology
133 papers in training set
Top 1%
3.1%
9
Scientific Reports
3102 papers in training set
Top 44%
2.7%
10
Cell Reports Methods
141 papers in training set
Top 1%
2.6%
11
eLife
5422 papers in training set
Top 33%
2.4%
12
JCI Insight
241 papers in training set
Top 3%
2.1%
13
mBio
750 papers in training set
Top 6%
2.1%
14
Microbiome
139 papers in training set
Top 2%
1.9%
15
PLOS Biology
408 papers in training set
Top 9%
1.7%
16
Journal of Clinical Microbiology
120 papers in training set
Top 1.0%
1.7%
17
Genome Medicine
154 papers in training set
Top 5%
1.7%
18
The Journal of Infectious Diseases
182 papers in training set
Top 3%
1.7%
19
mSphere
281 papers in training set
Top 4%
1.5%
20
Cell Host & Microbe
113 papers in training set
Top 4%
1.2%
21
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 38%
1.2%
22
Nature Biomedical Engineering
42 papers in training set
Top 2%
0.9%
23
Science
429 papers in training set
Top 20%
0.7%
24
Nature Medicine
117 papers in training set
Top 5%
0.7%
25
The Lancet Microbe
43 papers in training set
Top 1%
0.7%
26
Journal of Infection
71 papers in training set
Top 3%
0.7%
27
Science Advances
1098 papers in training set
Top 30%
0.7%
28
iScience
1063 papers in training set
Top 35%
0.7%
29
Cell Reports
1338 papers in training set
Top 34%
0.7%
30
Journal of the Pediatric Infectious Diseases Society
10 papers in training set
Top 0.2%
0.7%