Literature DB >> 34138947

Development of a multiplex real-time PCR assay for the simultaneous detection of four bacterial pathogens causing pneumonia.

Ho Jae Lim1,2, Eun-Rim Kang1, Min Young Park1, Bo Kyung Kim3, Min Jin Kim3, Sunkyung Jung1, Kyoung Ho Roh4, Nackmoon Sung5, Jae-Hyun Yang6, Min-Woo Lee7, Sun-Hwa Lee1,3, Yong-Jin Yang1.   

Abstract

Classification of clinical symptoms and diagnostic microbiology are essential to effectively employ antimicrobial therapy for lower respiratory tract infections (LRTIs) in a timely manner. Empirical antibiotic treatment without microbial identification hinders the selective use of narrow-spectrum antibiotics and effective patient treatment. Thus, the development of rapid and accurate diagnostic procedures that can be readily adopted by the clinic is necessary to minimize non-essential or excessive use of antibiotics and accelerate patient recovery from LRTI-induced damage. We developed and validated a multiplex real-time polymerase chain reaction (mRT-PCR) assay with good analytical performance and high specificity to simultaneously detect four bacterial pathogens causing pneumonia: Klebsiella pneumoniae, Pseudomonas aeruginosa, Staphylococcus aureus, and Moraxella catarrhalis. The analytical performance of mRT-PCR against target pathogens was evaluated by the limit of detection (LOD), specificity, and repeatability. Two hundred and ten clinical specimens from pneumonia patients were processed using an automatic nucleic acid extraction system for the "respiratory bacteria four" (RB4) mRT-PCR assay, and the results were directly compared to references from bacterial culture and/or Sanger sequencing. The RB4 mRT-PCR assay detected all target pathogens from sputum specimens with a coefficient of variation ranging from 0.29 to 1.71 and conservative LOD of DNA corresponding to 5 × 102 copies/reaction. The concordance of the assay with reference-positive specimens was 100%, and additional bacterial infections were detected from reference-negative specimens. Overall, the RB4 mRT-PCR assay showed a more rapid turnaround time and higher performance that those of reference assays. The RB4 mRT-PCR assay is a high-throughput and reliable tool that assists decision-making assessment and outperforms other standard methods. This tool supports patient management by considerably reducing the inappropriate use of antibiotics.

Entities:  

Year:  2021        PMID: 34138947      PMCID: PMC8211157          DOI: 10.1371/journal.pone.0253402

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

According to the World Health Organization (WHO), lower respiratory tract infections (LRTIs) were the main cause of morbidity and mortality leading to 3 million deaths worldwide in 2016 [1]. LRTIs, caused by various bacteria and viruses, are associated with different clinical symptoms and etiologies affected by age, sex, and season [2]. Owing to complicated clinical symptoms, efforts to reduce the global burden of LRTIs using preventive and treatment strategies require timely identification of pathogens [3]. LRTIs fall into two categories based on their origin: community-acquired pneumonia (CAP) and hospital-acquired pneumonia (HAP) [4]. In the Asia-Pacific region, 11 species of bacteria and eight species of viruses causing CAP are examined by serology, culture, immunofluorescence assay, or polymerase chain reaction (PCR) [5]. Notably, in LRTI patients with severe CAP, Staphylococcus aureus, Klebsiella pneumoniae, and Pseudomonas aeruginosa are the most common species, accounting for 28.6%, 28.6%, and 17.9%, respectively [6], of infections and are identified by diagnostic culture methods. In addition, despite low incidence, Moraxella catarrhalis has been recently recognized as an important emerging pathogen because it shows prevalent resistance to some antibiotics through beta-lactamase production [7]. Rapid identification of pathogens and determination of susceptibility profiles are critical for prompting appropriate therapy [8]. Nevertheless, the current standard diagnosis to detect respiratory bacteria is a culture-based procedure, which typically takes 24–72 h to process. Culture-based diagnosis of LRTI specimens has low sensitivity and negative predictive value (NPV); only approximately 30% of CAP patients receive correct microbiological identification [9]. Therefore, a combination of different tests, such as culture, antigen, and serology detection of pathogens, is commonly requested [10]. Thus, as the demand of rapid and highly precise methods for microbial identification increases, PCR-based assays would be an appropriate system to allow patient specimens to be examined on a large scale easily within quarter of a day [11, 12]. Current molecular diagnostic panels lack coverage of diverse respiratory pathogens. In the last few decades, conventional PCR assays have been performed for rapid identification of a wide range of pathogens; however, it requires the tube to be opened for post-detection analysis, leading to putative cross-contamination of the amplicon and consequent false-positive results [13]. Recently, the TaqMan method (Applied Biosystems, Inc., CA, USA) has been developed in the multiplex real-time PCR (mRT-PCR) platform, enabling quantitative applications [14]. The mRT-PCR assay is highly sensitive, specific, rapid, and less prone to false-positives [13]. Here, we developed a high-throughput mRT-PCR assay for the rapid and reliable identification of key respiratory bacterial pathogens causing pneumonia: S. aureus, M. catarrhalis, K. pneumoniae, and P. aeruginosa. Direct comparison to bacterial culture and/or a sequencing method (reference assays) in LRTI specimens was used to validate the effectiveness of our high-throughput respiratory bacteria four (RB4) mRT-PCR assay.

Materials and methods

Primer/PROBE design

Candidate assay targets for the four key bacteria were selected based on publications. National Center for Biotechnology Information basic local alignment search tool (NCBI-BLAST) for nucleotide sequences was used to compare candidate oligonucleotides to targets in GenBank, including large-scale sequence databases. Assays were redesigned or modified using GeneRunner version 6.0 and NCBI-BLAST to optimize for multiplex performance. The specificity of optimized oligonucleotide sequences was analyzed in silico by the multAlin interface. Sequences were also screened by alignments within sequence databases for species selectivity. Considering these assessments, four targets were selected for the pathogen assay and/or designed for a dual priming oligonucleotide-based multiplex PCR assay for specificity [15]. The sequences of primers and probes are described in Table 1.
Table 1

Oligonucleotide primers and probes for the real time PCR to detect target pathogens and an internal control.

PathogenTarget geneTypeSequences (5’-3’)Tm (°C)Product size (bp)Reference
K. pneumoniaeyphGF. primerGAGTTAGGGAAACGAACATTGTGIIIIIGGCAGTGCTC58137[16]
R. primerTCTCTATCGGACAGACGTCGGIIIIIAAAGAGGTTC59
probeaFAM-TTCATTGGCATCATCACTTAGCGAC65.1
P. aeruginosaregAF. primerGCTTCATCGACAGCATCGGIIIIIACTGACGCCA58.1111[17]
R. primerCGGCTTTTTCTCTGGTCTGTGIIIIIGTTCCGCTGT59.1
probebHEX-AACACAAACGCACTCGGAAAAATCG68.5
S. aureusnucF. primerGATGGCTATCAGTAATGTTTCGAIIIIICAATACRCAA56.3213[18]
R. primerGTCGCAGGTTCTTTATGTAATTTTIIIIITGAAGTTGCA57.4
probecTexas red-CAAGTCTAAGTAGCTCAGCARATGCATCA67.1
M. catarrhaliscopBF. primerATTCGTGGCATGGGTCATAAT58.5182[9]
R. primerGTAACAATCGCACCRTTGGTT56.8~59.3
probedCy5.5-CACCAAGGTCGCTTTATGCTAGACCC68.7
Internal controlHBBF. primerGGCATAAAAGTCAGGGCAGAIIIIICTATTGCT56.9158-
R. primerCCAACTTCATCCACGTTCACCIIIIICCACAGGG59.0
probeeCy5-CCTGAGGAGAAGTCTGCCGTTACTGC68.8

Probes were labeled with FAM, HEX, Texas red, Cy5.5, and Cy5 and detected at 520, 556, 616, 694, and 669 nm, respectively. All the probes were had BHQ as a quencher at 3’ end.

Abbreviations: Tm, melting temperature; F. primer, forward primer; R. primer, reverse primer; probe, fluorescently labeled primer; R: A or G.

Probes were labeled with FAM, HEX, Texas red, Cy5.5, and Cy5 and detected at 520, 556, 616, 694, and 669 nm, respectively. All the probes were had BHQ as a quencher at 3’ end. Abbreviations: Tm, melting temperature; F. primer, forward primer; R. primer, reverse primer; probe, fluorescently labeled primer; R: A or G.

Control isolates

The positive control for the four bacterial strains used in confirmation assays were as follows: S. aureus for American Type Culture Collection (ATCC) 29213, M. catarrhalis for Korean Culture Center of Microorganisms (KCCM) 42706, K. pneumoniae for ATCC 13883, and P. aeruginosa for ATCC 27853. Plasmids containing target genes were generated by cloning amplicons with the pLUG-prime TA-cloning vector system (iNtRON Biotechnology, Inc., Seongnam, Korea). Plasmid DNA was diluted in DNA-spin (iNtRON) to 1 copy/reaction via serial dilution for PCR optimization and quantification standards. S. auricularis and S. haemolyticus were the predominantly isolated respiratory specimens in Seegene Medical Foundation (SGMF) for use as a negative control. Most of these controls were commercially supplied as DNA extracts from ATCC, Korean Collection for Type Cultures (KCTC), KCCM, and Korea Bank for Pathogenic Viruses (KBPV).

Nucleic acid extraction

All patient samples were simultaneously processed using an automated nucleic acid extraction system, the MagNA PURE 96 (Roche, Inc., Basel, Switzerland), according to the manufacturer’s instructions. The specimens were pre-treated with 1 mL of phosphate-buffered saline solution (Biosesang, Co., Seongnam, Korea) and vigorously vortexed for 10 s. Each sample was divided into 200 μL for nucleic acid extraction. Nucleic acid samples were eluted with 100 μL elution buffer and stored at −20°C until use.

Multiplex real-time PCR

PCR procedures were carried out using the CFX96 instrument (Bio-Rad Laboratories, Inc., Irvine, CA, USA). RB4 mRT-PCR assays were performed in a total reaction volume of 20 μL, comprising μL oligonucleotide mixture, 5 μL 4X PCR enzyme, and 5 μL of nucleic acid extract. PCR was conducted with the following parameters: 95°C for 15 min in the first step, followed by 38 cycles of 95°C for 10 s for denaturation and 60°C for 60 s for annealing/extension. Test runs were validated when positive controls for each amplification target were positive and negative controls (no template) were negative. The RB4 mRT-PCR assay is designed to detect K. pneumoniae on FAM, P. aeruginosa on HEX, S. aureus on Texas red, and M. catarrhalis on the Cy5.5 channel. To prevent false-negative results, the human hemoglobin subunit beta (HBB) was simultaneously amplified and was the detected housekeeping gene used as an endogenous internal control.

Analytical performance

The LOD was obtained from the positive control assessments for K. pneumoniae, P. aeruginosa, S. aureus, and M. catarrhalis. Each control was serially diluted into 103, 5 × 102, 102, 5 × 101, 101, and 1 copies/reaction. LOD tests were performed 50 times for these concentrations. Likewise, repeatability tests were determined 20 times for intra-assay coefficients of variation (CV): high for 103 copies/reaction, medium for 5 × 102 copies/reaction, low for 102 copies/reaction, and very low for 5 × 101 copies/reaction. Fifty strains of bacteria and 19 strains of viruses were selected for reactivity tests.

Clinical LRT specimens

A total of 210 anonymized residual sputum specimens from patients presenting symptoms of pneumonia were obtained and preserved for routine procedures between June and August 2018. All specimens were classified into two groups (positive or negative) with reference assays. Samples were confirmed as positive if more than one result from reference assays were positive.

Microbial identification

Well-mixed sputum specimens were cultured on blood and MacConkey agar plates. The plates were incubated for 24 h at 37°C. The colonies from culture plates were deposited on an assay plate, and 1 μL 70% formic acid and 1 μL matrix solution were added. Thereafter, the plate was analyzed using a Bruker Biotyper MALDI-TOF (Bruker, Bremen, Germany).

Sanger sequencing

In the event of a discrepancy between culture assays and PCR assays, Sanger sequencing was performed as an additional confirmatory test in a different institute (Cosmogenetech, Co., Seoul, Korea). The results matched, and over 95% were regarded as references. Sequencing data were analyzed using NCBI-BLAST.

Statistical analysis

All statistical analyses were performed using SPSS version 26.0 (IBM, Co., NY, USA) for Windows. The analytical Cohen’s kappa defined statistical significance only if P-values were ≤0.05. The CVs were determined for mRT-PCR platforms using measurements obtained 20 times from double runs and presented as means and standard deviations. The LOD of mRT-PCR assays, the concentration of the sample detected as positive with 95% confidence, was estimated to fit the probit regression model. For the diagnostic test, sensitivity, specificity, positive predictive values (PPVs), and NPVs were used to compare each RB4 mRT-PCR assay to the reference result and subsequently estimate the diagnostic accuracy of the pathogens.

Ethics statement

Ethical aspects for this study were reviewed and approved by the Seegene Medical Foundation Institutional Review Board (approval number, SMF-IRB-2021-001), provided that after conducting the original test, the remaining anonymous sputum specimens were used. All data were fully anonymized administrative data without patient identifiers, and patient consent was waived by the institutional review board.

Results

Design of the RB4 mRT-PCR assay

The four pathogens selected for the RB4 mRT-PCR assay, K. pneumoniae, P. aeruginosa, S. aureus, and M. catarrhalis, are species with clinical significance and were detected at 1.3–24.7%, 0–8%, 0.4–10.4%, 0.3–15%, respectively, from pneumonia patients [5]. yphG and regA were selected for the detection of K. pneumoniae and P. aeruginosa, respectively, because they have been evaluated with great sensitivity in the literature [16, 17]. A thermostable nuclease gene, nuc, was selected to detect S. aureus, owing to its greater specificity [18]. A highly conserved region of copB was selected for M. catarrhalis detection [9], and HBB was used as an internal control (Table 1). All target genes were efficiently amplified, without inhibiting one another, in the PCR (Fig 1).
Fig 1

RB4 mRT-PCR assay performed using positive controls corresponding to Klebsiella pneumoniae, Pseudomonas aeruginosa, Staphylococcus aureus, Moraxella catarrhalis, and the internal control, respectively.

The data were analyzed from cycle 1 to 38.

RB4 mRT-PCR assay performed using positive controls corresponding to Klebsiella pneumoniae, Pseudomonas aeruginosa, Staphylococcus aureus, Moraxella catarrhalis, and the internal control, respectively.

The data were analyzed from cycle 1 to 38.

Performance of analytical specificity

To confirm the specificity of the RB4 mRT-PCR assay, other bacterial and viral strains were tested (Table 2). The coverage of the four strains was 100% for each assay target, and no cross-reactivity was observed, indicating great specificity to all targets. The specificity against the 62 negative controls was 100%.
Table 2

Sixty-nine isolates of global origin for analytical specificity of target pathogens.

GrouporganismSourceFAMHEXCal Red 610Quasar 705
BacteriaKlebsiella pneumoniaeATCC 13883+---
Klebsiella pneumoniaeKCCM 42750+---
Pseudomonas aeruginosaATCC 27853-+--
Pseudomonas aeruginosaKCCM 11266-+--
Staphylococcus aureusATCC 29213--+-
Staphylococcus aureusKCCM 32395--+-
Moraxella catarrhalisKCCM 42706---+
Corynebacterium glucuronolyticumATCC 51860----
Enterobacter aerogenesATCC 13048----
Enterobacter aerogenesKCCM 12177----
Enterobacter cloacaeATCC 13047----
Enterococcus faecalisKCTC 5290----
Enterococcus faecalisKCCM 12117----
Enterococcus faeciumKCTC 13225----
Haemophilus influenzaeATCC 9007----
Klebsiella ornithinolyticaKCCM 41044----
Klebsiella oxytocaATCC 13182----
Klebsiella planticolaKCCM 11649----
Klebsiella quasipneumoniae subATCC 700603----
Lactobasillus crispatusATCC 33820----
Lactobasillus gasseriATCC 33323----
Lactobasillus jenseniiATCC 25258----
Moraxella atlantaeKCCM 11242----
Moraxella osloensisKCTC 52865----
Plasmodium falciparumATCC 30932----
Proteus mirabilisATCC 29906----
Pseudomonas alcaligenesKCTC 12029----
Pseudomonas basaltisKCTC 22136----
Pseudomonas fluorescensKCTC 1767----
Pseudomonas putidaKCTC 1642----
Pseudomonas taetrolensKCTC 12501----
Staphylococcus auricularisATCC 33753----
Staphylococcus capraeKCTC 3583----
Staphylococcus epidermidisClinical isolate----
Staphylococcus gallinarumKCTC 3585----
Staphylococcus haemolyticusClinical isolate----
Staphylococcus pasteuriKCTC 13167----
Staphylococcus SaprophyticusKCTC 3345----
Streptococcus agalactiaeATCC 29213----
Streptococcus downeiKCTC 5808----
Streptococcus gordoniiKCTC 3671----
Streptococcus mitisATCC 29213----
Streptococcus mutansKCTC 5365----
Streptococcus oralisKCTC 5672----
Streptococcus parasanguinisATCC15912----
Streptococcus pneumoniaeATCC 49619----
Streptococcus pyogenesKCTC 19615----
Streptococcus sanguinisKCTC 3284----
Streptococcus pneumoniaeKCCM 40410----
Haemophilus influenzaeKCCM 42099----
VirusBK virusATCC VR837----
Coxasackie virus B3ATCC VR30----
Dengue virus type 2ATCC VR1584----
Dengue virus type 4ATCC VR1254CAF----
Herpes virus type 2ACTT VR734----
Human Adenovirus type 18ATCC VR1095----
Human Adenovirus type 40ATCC VR931----
Human Adenovirus type 8ATCC VR1368----
Human coronavirus OC43ATCC VR1558----
Human ParainfluenzavirusATCC VR1380----
Human Respiratory syncytial virus AATCC VR41----
Influenza A H1N1KBPV VR33----
Influenza A H1N1ATCC VR219----
Influenza A H1N1ATCC VR897----
Influenza A H1N1ATCC VR1683----
Influenza A H3N2ATCC VR547----
Influenza A H3N2ATCC VR822----
Influenza A H3N2ATCC VR810----
Influenza A H3N2ATCC VR544----

RB4 mRT-PCR assays were performed using 69 strains from public centers corresponding to target species. The clinical isolates were identified by MALDI-TOF at the Department of Laboratory medicine in SGMF

Abbreviations: ATCC, American Type Culture Collection; KCTC, Korean Collection for Type Cultures; KCCM, Korean Culture Center of Microorganisms; KBPV, Korea Bank for Pathogenic Viruses; SGMF, Seegene Medical Foundation.

RB4 mRT-PCR assays were performed using 69 strains from public centers corresponding to target species. The clinical isolates were identified by MALDI-TOF at the Department of Laboratory medicine in SGMF Abbreviations: ATCC, American Type Culture Collection; KCTC, Korean Collection for Type Cultures; KCCM, Korean Culture Center of Microorganisms; KBPV, Korea Bank for Pathogenic Viruses; SGMF, Seegene Medical Foundation.

Determination of analytical sensitivity

Analytical sensitivity and LOD were estimated with 50 replicates of positive control bacteria at six different concentrations, from 1 to 103 copies/reaction (Table 3). The levels of 95% LOD were obtained using probit analysis: 143.88 copies/reactions for K. pneumoniae, 212.32 copies/reactions for P. aeruginosa, 166.72 copies/reactions for S. aureus, and 73.11 copies/reactions for M. catarrhalis. The RB4 mRT-PCR assay exhibited 100% reproducibility for all target bacteria as low as 5 × 102 copies/reaction, except for M. catarrhalis, where the assays were approximately five times more sensitive. The LOD was approximately 10–102 copies/reaction, depending on the targets.
Table 3

Evaluation of detection limit of target pathogens.

PathogenDNA Conc. (Copies/rxn)ReactionsPositivePositive rate (%)LOD 95% level (Copies/rxn)
K. pneumoniae1 × 1035050100143.88
5 × 1025050100
1 × 102504590
5 × 101501632
1 × 1015000
15000
P. aeruginosa1 × 1035050100212.32
5 × 1025050100
1 × 102502550
5 × 1015000
1 × 1015000
15000
S. aureus1 × 1035050100166.72
5 × 1025050100
1 × 102503468
5 × 1015036
1 × 1015000
15000
M. catarrhalis1 × 103505010073.11
5 × 1025050100
1 × 1025050100
5 × 101504284
1 × 101501122
15000

RB4 mRT-PCR reactions performed using serially diluted positive controls. The LOD 95% data were calculated using the probit model.

Abbreviations: Conc., concentration; rxn, reaction; LOD, limit of detection.

RB4 mRT-PCR reactions performed using serially diluted positive controls. The LOD 95% data were calculated using the probit model. Abbreviations: Conc., concentration; rxn, reaction; LOD, limit of detection.

Determination of analytical repeatability

Repeatability was measured by comparing bacterial loads of 100 replicates using the RB4 mRT-PCR assay: 20 positive controls at four different concentrations, high (103 copies/reaction), medium (5 × 102 copies/reaction), low (102 copies/reaction), and very low (5 × 101 copies/reaction), and 20 negative controls (Table 4). The number of positive tests for four target pathogens, out of total 80 replicates, were 80 (100%) at high, 80 (100%) at medium, 61 (76.3%) at low, and 25 (31.3%) at very low concentrations. The best repeatability was obtained from M. catarrhalis detection; 77 replicates were quantified as positive in all tested concentrations, resulting in a 96.3% repeatability. The repeatability values for K. pneumoniae, P. aeruginosa, and S. aureus were 81.3% (65/80), 62.5% (50/80), and 67.5% (54/80), respectively. Overall, the results indicated that the RB4 mRT-PCR assay accurately quantifies the target bacterial load from positive controls at a concentration as low as 5 × 102 copies/reaction.
Table 4

Evaluation of detection repeatability of pathogens using mRT-PCR.

PathogenConc.ReactionsPositiveMean ± SDCV (%)
K. pneumoniaeHigh202032.78 ± 0.220.67
Medium202033.77 ± 0.320.95
Low201836.35 ± 0.690.66
Very low20737.48 ± 0.300.29
negative200--
P. aeruginosaHigh202034.00 ± 0.190.56
Medium202035.48 ± 0.481.36
Low201037.68 ± 0.210.57
Very low200--
negative200--
S. aureusHigh202034.05 ± 0.200.59
Medium202035.01 ± 0.210.60
Low201337.37 ± 0.330.87
Very low20137.56-
negative200--
M. catarrhalisHigh202032.04 ± 0.160.50
Medium202032.99 ± 0.230.70
Low202035.22 ± 0.431.22
Very low201736.74 ± 0.631.71
negative200--

RB4 mRT-PCR reactions performed using positive controls in the amount of 103, 5 × 102, 102, and 5 × 101 copies/reaction corresponding to high, medium, low, and very low concentrations, respectively.

Abbreviations: Conc., concentration; SD, standard deviation; CV, coefficient of variation

RB4 mRT-PCR reactions performed using positive controls in the amount of 103, 5 × 102, 102, and 5 × 101 copies/reaction corresponding to high, medium, low, and very low concentrations, respectively. Abbreviations: Conc., concentration; SD, standard deviation; CV, coefficient of variation

Performance evaluation in clinical specimens

In the clinical test of 210 specimens, 73 and 137 sputum specimens obtained from pneumonia patients were negative and positive in reference assays, respectively. The sensitivity and NPVs of the RB4 mRT-PCR assay, compared to reference assays, were 100% for all target pathogens, and the specificity was 92.36% to K. pneumoniae, 85.71% to P. aeruginosa, 96.13% to S. aureus, and 98.96% to M. catarrhalis. PPVs were 85.71% for K. pneumoniae, 77.78% for P. aeruginosa, 90.16% for S. aureus, and 90.00% for M. catarrhalis (Table 5). Together, the RB4 mRT-PCR assay, compared to other standard methods, showed a better performance in clinical samples.
Table 5

Comparison of two platforms for the clinical qualification of target pathogens.

PathogenRB4 mRT-PCRReference assaysKappa ValuepSenSpePPVNPVDA
PositiveNegativeTotal
K. pneumoniaePositive6611770.884<0.00110092.3685.7110094.76
Negative0133133
Total66144210
P. aeruginosaPositive7020900.800<0.00110085.7177.7810090.48
Negative0120120
Total70140210
S. aureusPositive556610.929<0.00110096.1390.1610097.14
Negative0149149
Total55155210
M. catarrhalisPositive182200.942<0.00110098.9690.0010099.05
Negative0190190
Total18192210

Analysis of Kappa value, p-value, sensitivity, specificity, positive predictive value, negative predictive value, diagnostic accuracy assessed using the RB4 mRT-PCR assay and reference assay in different target pathogens.

Abbreviations: Sen, sensitivity; Spe, specificity; PPV, positive predictive value; NPV, negative predictive value; DA, diagnostic accuracy.

Analysis of Kappa value, p-value, sensitivity, specificity, positive predictive value, negative predictive value, diagnostic accuracy assessed using the RB4 mRT-PCR assay and reference assay in different target pathogens. Abbreviations: Sen, sensitivity; Spe, specificity; PPV, positive predictive value; NPV, negative predictive value; DA, diagnostic accuracy.

Discussion

Clinical specimens from pneumonia patients frequently contain coinfections, and mRT-PCR has an advantage to simultaneously diagnose pathogens in a rapid and accurate manner [19, 20]. In this study, we developed and evaluated the RB4 mRT-PCR assay for simultaneous detection of four different bacterial pathogens causing pneumonia, including K. pneumonia, P. aeruginosa, S. aureus, and M. catarrhalis. The performance of the RB4 mRT-PCR assay had analytical specificity for the four pathogens. The consistency of reference assays was >0.80 (kappa value, P < 0.001), and the clinical performance presented 100% reliability for all target pathogens (Table 5). Sputum specimen retrieval is better accepted by patients for the diagnosis of LRTIs because sputum can be obtained easily and noninvasively [21]. Therefore, the RB4 mRT-PCR assay has been validated for use on sputum specimens rather than nasopharyngeal swabs or aspirates. Moreover, sputum specimens contain housekeeping genes that are stably preserved in human cells and can serve as internal controls [22]. The housekeeping gene HBB was used to ensure proper sampling and adequate target amplification for internal quality [23]. Although microscopy can determine sputum quality based on the number of polymorphonuclear leukocytes (≥10) and squamous epithelial cells (<25) [24], the use of HBB as an internal control correctly determines the quality of the specimen, procedure of nucleic acid extraction, and presence of PCR inhibition [25, 26]. The advantage of the RB4 mRT-PCR assay is its effectiveness on both reference materials and clinical specimens and its correct determination of all positive and negative strains (Table 2). Moreover, 10 (six single and four mixed infections) of the 73 (13.7%) negative specimens and 118 of the 137 (86.1%) positive specimens were matched, whereas RB4 mRT-PCR assays detected an additional 19 bacterial infections from reference-positive samples: 15 (78.9%) single infections and four (21.1%) mixed infections (S1 Table). The RB4 mRT-PCR assay procedure includes automated sample processing and internal specimen quality check, and it can report results within 4 h of specimen receipt on a standard mRT-PCR platform. There are several noteworthy points in this study. (1) This assay lacks quantitative molecular levels and correlation between Ct values and colony-forming units of bacterial pathogens for LRTI diagnosis; however, it showed stable Ct values with 0.29–1.71% CV (Table 4) [9, 27]. These results indicated that the RB4 mRT-PCR platform is more sensitive than reference assays, even at low copy numbers (Table 3). (2) The assay results were validated with sputum specimens and not with other LRTI specimens, such as endotracheal aspirate and bronchoalveolar lavage [28]. There is a need to improve the efficiency of the mRT-PCR assay and develop test kits compatible with a broad range of LRTI specimens. The RB4 mRT-PCR assay can potentially serve as an improved decision-making tool during LRTI treatment. Faster and more accurate diagnosis of pathogens would promote the use of narrow- over broad-spectrum antibiotics and substantially reduce the inappropriate use of antibiotics.

Comparison of discordant samples between reference assays and the RB4 mRT-PCR assays.

The RB4 mRT-PCR assays detected an additional 19 bacterial infections from reference-positive assays. (PDF) Click here for additional data file. 6 May 2021 PONE-D-21-10845 Development of a multiplex real-time PCR assay for the simultaneous detection of four bacterial pathogens causing pneumonia PLOS ONE Dear Dr. Yang, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. The reviewers have no significant comments on this work. Authors should look at the reviewers' comments and respond to these comments. Please submit your revised manuscript by Jun 20 2021 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. 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Please add a citation to support this phrase or upload the data that corresponds with these findings to a stable repository (such as Figshare or Dryad) and provide and URLs, DOIs, or accession numbers that may be used to access these data. Or, if the data are not a core part of the research being presented in your study, we ask that you remove the phrase that refers to these data. Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes Reviewer #2: Yes ********** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: Yes ********** 3. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: Yes ********** 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes ********** 5. Review Comments to the Author Reviewer #1: The manuscript was well designed and has technical rigor. The study question was answered. The proposed technique may help the diagnosis of pneumonia and will prevent the indiscriminate use of antibiotics. Reviewer #2: The new mPCRs are promising tools to help clinicians to make clinical decisions in antibiotic treatments. The authors presented a promising array which could be useful in a clinical setting. It would be extremely useful information (and significantly strengthens the utility of the assay) to know if the assay is able to differentiate antibiotic resistant strain of the different types of bacteria. 1) Any analysis for hairpins etc for the PCR primers? 2) Have you investigated your assay against antibiotic resistant strains? 3) Have you investigated the antibiotic susceptibility data against the results from the assay? ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: No 31 May 2021 Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes Reviewer #2: Yes ________________________________________ 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: Yes ________________________________________ 3. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: Yes ________________________________________ 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes ________________________________________ 5. Review Comments to the Author Reviewer #1: The manuscript was well designed and has technical rigor. The study question was answered. The proposed technique may help the diagnosis of pneumonia and will prevent the indiscriminate use of antibiotics. Reviewer #2: The new mPCRs are promising tools to help clinicians to make clinical decisions in antibiotic treatments. The authors presented a promising array which could be useful in a clinical setting. It would be extremely useful information (and significantly strengthens the utility of the assay) to know if the assay is able to differentiate antibiotic resistant strain of the different types of bacteria. 1) Any analysis for hairpins etc for the PCR primers? A: We checked the secondary structures of oligomers (primers and probes) using the GeneRunner software. We tested all 15 oligomers used in this study, and five showed no secondary structures. However, the predicted secondary structures did not significantly affect our PCR-based methods using dual-priming oligonucleotides (DPO) because the 30-mer oligo alone, unlike the 50-mer oligo (#1, 2), was not stable enough to form secondary structures. The GC content (<65 %) and the avoidance of repetitive sequences met the oligo design criteria (#3). - References – 1. Chun JY, Kim KJ, Hwang IT, Kim YJ, Lee DH, Lee IK, et al. Dual priming oligonucleotide system for the multiplex detection of respiratory viruses and SNP genotyping of CYP2C19 gene. Nucleic Acids Res. 2007;35(6):e40. Epub 2007/02/09. doi: 10.1093/nar/gkm051. PubMed PMID: 17287288; PubMed Central PMCID: PMCPMC1874606. 2. Fredman D, Jobs M, Strömqvist L, Brookes AJ. DFold: PCR design that minimizes secondary structure and optimizes downstream genotyping applications. Hum Mutat. 2004;24(1):1-8. doi: 10.1002/humu.20066. PMID: 15221783. 3. Riet J, Ramos LRV, Lewis RV, Marins LF. Improving the PCR protocol to amplify a repetitive DNA sequence. Genet Mol Res. 2017;16(3). doi:10.4238/gmr16039796. 2) Have you investigated your assay against antibiotic resistant strains? A: Yes, RB4 mRT-PCR assays worked for antibiotic-resistant pathogens. Fifty-eight samples used in this study were tested for antibiotic resistance as a part of the minimal inhibitory concentration (MIC) test procedure. Pathogen Total samples (N) MIC test (%) Antibiotic-resistant (N) K. pneumoniae 66 20 (30.3%) 20 P. aeruginosa 70 29 (41.4%) 27 S. aureus 55 10 (18.2%) 10 M. catarrhalis 18 0 (0%) 0 Data are representative of the total samples, MIC test, and antibiotic resistance for target pathogens in 58 samples. 3) Have you investigated the antibiotic susceptibility data against the results from the assay? A: Yes. K. pneumoniae, P. aeruginosa, and S. aureus were analyzed by MIC tests for resistance to 37 antibiotics and classified into three categories: antibiotic-resistant, antibiotic-intermediate, or antibiotic-susceptible. We analyzed the association of antibiotic resistance with extended-spectrum beta-lactamase (ESBL) gene types in K. pneumoniae strains. We screened 17, 17, and 16 antibiotics for K. pneumoniae, P. aeruginosa, and S. aureus, respectively. Antibiotic K. pneumoniae P. aeruginosa S. aureus Amikacin S S N/A Amoxicillin/Clavulanic acid R N/A N/A Ampicillin R N/A N/A Ampicillin/Sulbactam N/A R N/A Aztreonam R S N/A Cefazolin R N/A N/A Cefepime R S N/A Cefotaxime R R N/A Cefoxitin S N/A N/A Ceftazidime R S N/A Ciprofloxacin R S R Clindamycin N/A N/A R Colistin N/A S N/A Ertapenem S N/A N/A Erythromycin N/A N/A R Esbl + N/A N/A Fusidic acid N/A N/A S Gentamicin S S S Imipenem S S N/A Levofloxacin N/A N/A N/A Linezolid N/A N/A S Meropenem N/A S N/A Mikacin N/A N/A N/A Minocycline N/A R N/A Oxacillin N/A N/A R Penicillin G N/A N/A R Piperacillin N/A I N/A Piperacillin/Tazobactam R I N/A Quinupristin/Dalfopristin N/A N/A S RFP (Rifampicin) N/A N/A S Teicoplanin N/A N/A S Telithromycin N/A N/A R Tetracycline N/A N/A S Ticarcillin/Clavulanic acid N/A S N/A Tigecycline S R S Tobramycin N/A N/A N/A Trimethoprim/Sulfamethoxazole S R S Vancomycin N/A N/A S Data are representative of antibiotics for target pathogens in 58 samples. Abbreviations: R; resistant; I, intermediate; S, susceptible; N/A; not available. We hope you are satisfied with our answer. Thank you very much. ________________________________________ 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: No ________________________________________ In compliance with data protection regulations, you may request that we remove your personal registration details at any time. (Remove my information/details). Please contact the publication office if you have any questions. Submitted filename: Response_to_Reviewers.docx Click here for additional data file. 4 Jun 2021 Development of a multiplex real-time PCR assay for the simultaneous detection of four bacterial pathogens causing pneumonia PONE-D-21-10845R1 Dear Dr. Yang, We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements. Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication. An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. Kind regards, Ruslan Kalendar, PhD Academic Editor PLOS ONE 9 Jun 2021 PONE-D-21-10845R1 Development of a multiplex real-time PCR assay for the simultaneous detection of four bacterial pathogens causing pneumonia Dear Dr. Yang: I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. If we can help with anything else, please email us at plosone@plos.org. Thank you for submitting your work to PLOS ONE and supporting open access. Kind regards, PLOS ONE Editorial Office Staff on behalf of Prof. Ruslan Kalendar Academic Editor PLOS ONE
  28 in total

1.  Development of quantitative real-time PCR for detection and enumeration of Enterobacteriaceae.

Authors:  Hajime Takahashi; Rumi Saito; Satoko Miya; Yuichiro Tanaka; Natsumi Miyamura; Takashi Kuda; Bon Kimura
Journal:  Int J Food Microbiol       Date:  2017-01-04       Impact factor: 5.277

2.  Evaluation of the BioFire FilmArray Pneumonia Panel for rapid detection of respiratory bacterial pathogens and antibiotic resistance genes in sputum and endotracheal aspirate specimens.

Authors:  In Young Yoo; Kyungmin Huh; Hyang Jin Shim; Sun Ae Yun; Yoo Na Chung; On Kyun Kang; Hee Jae Huh; Nam Yong Lee
Journal:  Int J Infect Dis       Date:  2020-03-14       Impact factor: 3.623

3.  Antimicrobial resistance of Moraxella catarrhalis isolates in Taiwan.

Authors:  Shih-Fen Hsu; Yi-Tsung Lin; Te-Li Chen; L K Siu; Po-Ren Hsueh; Shih-Tse Huang; Chang-Phone Fung
Journal:  J Microbiol Immunol Infect       Date:  2011-12-09       Impact factor: 4.399

4.  Performance Evaluation of Allplex Respiratory Panels 1, 2, and 3 for Detection of Respiratory Viruses and Influenza A Virus Subtypes.

Authors:  Hee Jae Huh; Ji-Youn Kim; Hyeon Jeong Kwon; Sun Ae Yun; Myoung-Keun Lee; Nam Yong Lee; Jong-Won Kim; Chang-Seok Ki
Journal:  J Clin Microbiol       Date:  2016-11-30       Impact factor: 5.948

5.  Comparative analysis of the patients with community-acquired pneumonia (CAP) and health care-associated pneumonia (HCAP) requiring hospitalization.

Authors:  Sibel Kara; Müşerref Şule Akçay; Zuhal Ekici Ünsal; Hatice Eylül Bozkurt Yılmaz; Mehmet Ali Habeşoğlu
Journal:  Tuberk Toraks       Date:  2019-06

6.  Development of two real-time multiplex PCR assays for the detection and quantification of eight key bacterial pathogens in lower respiratory tract infections.

Authors:  N J Gadsby; M P McHugh; C D Russell; H Mark; A Conway Morris; I F Laurenson; A T Hill; K E Templeton
Journal:  Clin Microbiol Infect       Date:  2015-05-14       Impact factor: 8.067

Review 7.  Clinical Relevance of Total HIV DNA in Peripheral Blood Mononuclear Cell Compartments as a Biomarker of HIV-Associated Neurocognitive Disorders (HAND).

Authors:  Vurayai Ruhanya; Graeme B Jacobs; Richard H Glashoff; Susan Engelbrecht
Journal:  Viruses       Date:  2017-10-31       Impact factor: 5.048

8.  Dual priming oligonucleotide system for the multiplex detection of respiratory viruses and SNP genotyping of CYP2C19 gene.

Authors:  Jong-Yoon Chun; Kyoung-Joong Kim; In-Taek Hwang; Yun-Jee Kim; Dae-Hoon Lee; In-Kyoung Lee; Jong-Kee Kim
Journal:  Nucleic Acids Res       Date:  2007-02-07       Impact factor: 16.971

Review 9.  Community-Acquired Pneumonia in the Asia-Pacific Region.

Authors:  Jae-Hoon Song; Kyungmin Huh; Doo Ryeon Chung
Journal:  Semin Respir Crit Care Med       Date:  2016-12-13       Impact factor: 3.119

10.  Etiology of community-acquired pneumonia: increased microbiological yield with new diagnostic methods.

Authors:  Niclas Johansson; Mats Kalin; Annika Tiveljung-Lindell; Christian G Giske; Jonas Hedlund
Journal:  Clin Infect Dis       Date:  2010-01-15       Impact factor: 9.079

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1.  Application of MRT-qPCR for pathogen detection of lower respiratory tract infection.

Authors:  Shiyi Huang; Jiangpo Chen; Jian Wang; Yuqi Zhao; Cong Jin; Yuxiang Wang; Mengmeng Lu; Wenxuan Wang; Qingzeng Qian; Tieliang Pang
Journal:  Am J Transl Res       Date:  2022-05-15       Impact factor: 3.940

2.  Engineered Cell Line Imaging Assay Differentiates Pathogenic from Non-Pathogenic Bacteria.

Authors:  Shelby M B Phillips; Carson Bergstrom; Brian Walker; George Wang; Trinidad Alfaro; Zachary R Stromberg; Becky M Hess
Journal:  Pathogens       Date:  2022-02-04

3.  Ventilator-Associated Pneumonia Due to MRSA vs. MSSA: What Should Guide Empiric Therapy?

Authors:  Marta Colaneri; Domenico Di Carlo; Alessandro Amatu; Lea Nadia Marvulli; Marta Corbella; Greta Petazzoni; Patrizia Cambieri; Alba Muzzi; Claudio Bandi; Angela Di Matteo; Paolo Sacchi; Francesco Mojoli; Raffaele Bruno
Journal:  Antibiotics (Basel)       Date:  2022-06-24
  3 in total

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