Back

High levels of detection of non-pneumococcal species of Streptococcus in saliva from adults in the USA

Hislop, M. S.; Allicock, O. M.; Thammavongsa, D. A.; Mbodj, S.; Nelson, A.; Shaw, A. C.; Weinberger, D. M.; Wyllie, A. L.

2022-11-22 infectious diseases
10.1101/2022.11.20.22282557 medRxiv
Show abstract

BackgroundWhile the sensitivity of detection of pneumococcal carriage can be improved by testing respiratory tract samples with qPCR, concerns have been raised regarding the specificity of this approach. We therefore investigated the reliability of the widely-used lytA qPCR assay when applied to saliva samples from older adults in relation to a more specific qPCR assay (piaB). MethodsDuring the autumn/winter seasons of 2018/2019 and 2019/2020, saliva was collected at multiple timepoints from 103 healthy adults aged 21-40 (n=34) and [≥]64 (n=69) years. Following culture-enrichment, extracted DNA was tested using qPCR for piaB and lytA. By sequencing the variable region of rpsB (S2-typing), we identified the species of bacteria isolated from samples testing lytA-positive only. ResultsWhile 30/344 (8.7%) saliva samples (16.5% individuals) tested qPCR-positive for both piaB and lytA, 52 (15.1%) samples tested lytA-positive only. No samples tested piaB-positive only. Through extensive re-culture of the 32 lytA-positive samples collected in 2018/2019, we isolated 23 strains (from 8 samples, from 5 individuals) that were also qPCR-positive for only lytA. Sequencing determined that Streptococcus mitis and Streptococcus infantis were predominantly responsible for this lytA-positive qPCR signal. ConclusionsWe identified a comparatively large proportion of samples generating positive signals with the widely used lytA-qPCR and identified non-pneumococcal streptococcal species responsible for this signal. This highlights the importance of testing for the presence of multiple gene targets in tandem for reliable and specific detection of pneumococcus in respiratory tract samples.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
Clinical Infectious Diseases
231 papers in training set
Top 0.3%
10.2%
2
Journal of Clinical Microbiology
120 papers in training set
Top 0.3%
7.2%
3
Journal of Infection
71 papers in training set
Top 0.1%
6.9%
4
The Journal of Infectious Diseases
182 papers in training set
Top 0.4%
6.4%
5
Microbiology Spectrum
435 papers in training set
Top 0.3%
4.9%
6
European Journal of Clinical Microbiology & Infectious Diseases
15 papers in training set
Top 0.1%
4.9%
7
Emerging Infectious Diseases
103 papers in training set
Top 0.5%
4.0%
8
Journal of Medical Microbiology
20 papers in training set
Top 0.1%
4.0%
9
Eurosurveillance
80 papers in training set
Top 0.3%
3.7%
50% of probability mass above
10
Open Forum Infectious Diseases
134 papers in training set
Top 0.4%
3.6%
11
Clinical Microbiology and Infection
60 papers in training set
Top 0.3%
3.1%
12
Microbial Genomics
204 papers in training set
Top 0.8%
2.6%
13
PLOS ONE
4510 papers in training set
Top 46%
2.4%
14
Journal of Clinical Virology
62 papers in training set
Top 0.3%
2.1%
15
Scientific Reports
3102 papers in training set
Top 50%
2.1%
16
The Lancet Microbe
43 papers in training set
Top 0.6%
1.7%
17
mSphere
281 papers in training set
Top 4%
1.3%
18
Frontiers in Cellular and Infection Microbiology
98 papers in training set
Top 4%
1.3%
19
Diagnostic Microbiology and Infectious Disease
21 papers in training set
Top 0.1%
1.2%
20
BMC Infectious Diseases
118 papers in training set
Top 4%
1.0%
21
Infection
15 papers in training set
Top 0.2%
1.0%
22
FEMS Microbes
14 papers in training set
Top 0.2%
1.0%
23
Diagnostics
48 papers in training set
Top 2%
0.9%
24
New England Journal of Medicine
50 papers in training set
Top 0.8%
0.8%
25
Microorganisms
101 papers in training set
Top 2%
0.8%
26
Nature Communications
4913 papers in training set
Top 62%
0.8%
27
Pediatric Infectious Disease Journal
16 papers in training set
Top 0.3%
0.8%
28
European Respiratory Journal
54 papers in training set
Top 2%
0.8%
29
Thorax
32 papers in training set
Top 0.8%
0.8%
30
Microbiology
57 papers in training set
Top 1%
0.7%