Skip to main content
Microbiology Spectrum logoLink to Microbiology Spectrum
. 2024 Feb 12;12(3):e02756-23. doi: 10.1128/spectrum.02756-23

Analytical and clinical validation of a multiplex PCR assay for detection of Neisseria gonorrhoeae and Chlamydia trachomatis including simultaneous LGV serotyping on an automated high-throughput PCR system

Lisa Sophie Pflüger 1, Dominik Nörz 1, Moritz Grunwald 1, Susanne Pfefferle 1, Katja Giersch 1, Martin Christner 1, Beatrice Weber 1, Martin Aepfelbacher 1, Holger Rohde 1,2, Marc Lütgehetmann 1,2,
Editor: Ana Cabrera3
Reviewed by: Megan Amerson4
PMCID: PMC10913481  PMID: 38345391

ABSTRACT

For effective infection control measures for Chlamydia trachomatis (CT) and Neisseria gonorrhoeae (NG), a reliable tool for screening and diagnosis is essential. Here, we aimed to establish and validate a multiplex PCR assay on an automated system using a dual-target approach for the detection of CT/NG and differentiation between lymphogranuloma venereum (LGV) and non-LGV from genital and extra-genital specimens. Published primer/probe sets (CT: pmpH, cryptic plasmid; NG: porA, opa) were modified for the cobas 5800/6800/8800. Standards quantified by digital PCR were used to determine linearity and lower limit of detection (LLoD; eSwab, urine). For clinical validation, prospective samples (n = 319) were compared with a CE-marked in vitro diagnostics (CE-IVD) assay. LLoDs ranged from 21.8 to 244 digital copies (dcp)/mL and 10.8 to 277 dcp/mL in swab and urine, respectively. A simple linear regression analysis yielded slopes ranging from −4.338 to −2.834 and Pearson correlation coefficients from 0.956 to 0.994. Inter- and intra-run variability was <0.5 and <1 cycle threshold (ct), respectively. No cross-reactivity was observed (n = 42). Clinical validation showed a sensitivity of 94.74% (95% confidence interval (CI): 87.23%–97.93%) and 95.51% (95% CI: 89.01%–98.24%), a specificity of 99.59% (95% CI: 97.71%–99.98%) and 99.57% (95% CI: 97.58%–99.98%), positive predictive values of 89.91% (estimated prevalence: 3.7%; 95% CI: 80.91%–95.6%) and 88.61% (estimated prevalence: 3.4%; 95% CI: 80.18%–94.34%), and negative predictive values of 99.81% (95% CI: 98.14%–100%) and 99.85% (95% CI: 98.14%–100%) for the detection of CT and NG, respectively. In conclusion, we established a dual-target, internally controlled PCR on an automated system for the detectiwon of CT/NG from genital and extra-genital specimens. Depending on local regulations, the assay can be used as a screening or a confirmatory/typing assay.

IMPORTANCE

Chlamydia trachomatis (CT) and Neisseria gonorrhoeae (NG) represent a major global health burden, with the World Health Organization estimating that >128 million and >82 million people, respectively, were newly infected in 2020. For effective infection control measures, a reliable tool for sensitive diagnosis and screening of CT/NG is essential. We established a multiplex PCR assay for the detection of CT/NG and simultaneous discrimination between lymphogranuloma venereum (LGV) and non-LGV strains, which has been validated for genital and extra-genital specimens on a fully automated system. To increase assay sensitivity, a dual-target approach has been chosen for both pathogens. This strategy reduces false-positive results in oropharyngeal swabs due to the detection of commensal N. species that may harbor NG DNA fragments targeted in the PCR due to horizontal gene transmission following previous infection. In sum, the established assay provides a powerful tool for use as either a screening/diagnostic or a typing/confirmatory assay.

KEYWORDS: multiplex PCR, high throughput, dual-target PCR, sexually transmitted disease, Chlamydia trachomatis, lymphogranuloma venereum, Neisseria gonorrhoeae, LGV serotyping

INTRODUCTION

Sexually transmitted diseases (STDs) represent a major global health burden. The World Health Organization estimates that over 1 million new sexually transmitted infections (STIs) occur every day worldwide (1). Two of the most common STDs are infections caused by Chlamydia trachomatis (CT) and Neisseria gonorrhoeae (NG) with an estimated number of new infections of 128 and 82 million in 2020, respectively (1). Particularly in women, most gonococcal or chlamydial infections are asymptomatic or have minimal symptoms. This results in undiagnosed and untreated patients, which increases the risk of transmission and leads to high numbers of unreported STI cases (2). Furthermore, infections with CT and NG can have serious sequelae that include a negative impact on fertility and the development of long-term complications, especially if infections are not detected and patients are left untreated. Both CT and NG are readily treatable with antibiotics. Unfortunately, the amount of NG strains that are antimicrobial-resistant (AMR) is rising, posing a progressive threat to global health (39). Consequently, a rapid and reliable method for screening and diagnosis of the respective STIs is essential. The most accurate method for detecting symptomatic and asymptomatic infections with NG or CT is a nucleic acid amplification test (NAAT). NAATs are the recommended method for all clinical specimens by the Center for Disease Control and Prevention (10, 11). As symptoms of both STDs are similar and coinfection of the two pathogens is common, testing of CT should also prompt testing for NG and vice versa (12, 13).

In addition, CT serovar typing is crucial as the duration of antibiotic treatment depends on the serovar present. A total of 19 different CT serovars are known (A-L3). Infections with serovars L1-L3 cause lymphogranuloma venereum (LGV), which can be invasive, causing systemic infection and potentially irreversible sequelae if treatment is not started promptly. Thus, CT serovar typing is essential, particularly in high-risk groups (e.g., men who have sex with men).

Both CT and NG can cause extra-genital infections including proctitis and pharyngitis. In high-risk groups such as men who have sex with men and patients with a history of oral or anal sex, extra-genital CT and/or NG infections are not uncommon and are often asymptomatic, stressing the need for screening from extra-genital specimens (10, 14, 15). However, the detection of STIs from pharyngeal swabs poses a particular challenge for NAATs, as non-NG Neisseria species (N. spp.), which can be part of the physiological oropharyngeal flora, may harbor fragments of NG following previous infections, thereby generating false-positive results (16, 17). To increase specificity, especially in non-genital swabs, a dual-target approach has been proven advantageous to ensure reliable test results (18, 19).

The aim of this study was to compile a multiplex PCR assay for the detection of CT and NG that simultaneously differentiates between CT serovar A-K (non-LGV strains) and L1-L3 (LGV strains) by applying a dual-target approach for both pathogens. The laboratory-developed test (LDT) PCR was adapted and validated for use on a fully automated system, the cobas 5800/6800/6800, thus providing a rapid and reliable method for the detection of CT and NG from oropharyngeal, anorectal, cervical/vaginal, urethral/penile, and ocular swabs as well as urine samples.

RESULTS

In silico analysis

No critical oligo–oligo interaction could be identified, indicating that the overall risk of primer dimer formation is minimal (cutoff binding energy: delta G < −10 kcal/mol). However, one 309-base pair (bp)-long human DNA sequence on chromosome 7 was identified, which can potentially be amplified by one of the primers used (opa-rev_01; all oligonucleotide names mentioned in this manuscript correspond to those in Table 1). The assay performance showed no impairment due to increased primer consumption, and alignments revealed five mismatches between the respective DNA sequence and the opa-rev_01 with one to two mismatches being located within the last 10 bases from the 3′ end of the primer.

TABLE 1.

Assay design: for adaption on the cobas 5800/6800/8800, primers were modified including a 2′O-methyl-RNA base (indicated as 2′0-Meth-X) to prevent the formation of primer cross- and self-dimersa,b

Pathogen Target Oligo name Sequence 5′ to 3′ Channel Conc. (nM) Reference
Chlamydia trachomatis plasmid plsmd-fwd GGA TTG ACT CCG ACA ACG TAT (2′0-Meth-U) C 500 20
plsmd-rev ATC ATT GCC ATT AGA AAG GGC A (2′0-Meth-U) T 500
nonLGV-probe_01 SUN- TTA CGT GTA (BMN-Q535) GGC GGT TTA GAA AGC GG -BMN-Q535 3 100
pmpH pmpH-fwd GGA TAA CTC TGT GGG GTA TTC TC (2′0-Meth-C) T 500
pmpH-rev AGA CCC TTT CCG AGC ATC A (2′0-Meth-C)T 500
nonLGV-probe_02 SUN- GCT TGA AGC (BMN-Q535) AGC AGG AGC TGG TG -BMN-Q535 3 100
LGV-probe FAM- T[+C]C GCT TG[+C] TCC A[+A]C AGT -BHQ1 2 100 this study
Neisseria gonorrhoeae opa opa-fwd TTG AAA CAC CGC CCG (2′0-Meth-G) AA 500 21
opa-rev_01 TTT CGG CTC CTT ATT CGG TT (2′0-Meth-U) AA 500
opa-rev_02 TTT CGG CTC CTT ATT CGG TTT (2′0-Meth-G) A 500
opa-probe Atto425- CCG ATA TAA TC[+C] GYC [+C]TT CAA [+C]AT CAG -BHQ1 1 100
porA porA-fwd CAG CAT TCA ATT TGT TCC GAG (2′0-Meth-U) C 500 22, 23
porA-rev GAA CTG GTT TCA TCT GAT TAC TTT C (2′0-Meth-C) A 500
porA-probe Atto620- CGC CTA TAC (BHQ2) GCC TGC TAC TTT CAC GC -BHQ2 4 100
a

Locked nucleic acids are indicated as “[+X]” and were used to enhance assay performance by increasing the hybridization melting temperature. The LGV-specific probe was modified from Cole et al. (5) and supplemented by four additional bases at the 5′ end. The concentrations correspond to the final concentration of the respective oligonucleotide in the reaction mix.

b

Conc., concentration; BHQ, black hole quencher; BMN-Q, BMN-quencher; fwd, forward; LNA, locked nucleic acid; MGB, minor groove binder; opa, opacity protein; plsmd, plasmid; pmpH, polymorphic membrane protein H; rev, reverse.

Technical validation

The 95% lower limits of detection (LLoDs) were established using an eight-step dilution series with 21 repeats per dilution step for two different matrixes (swab and urine, Table 2). LLoD (eSwab medium) for the assay detecting all CT serovars was determined to be 32.7 dcp (digital copies: copy number determined by digital PCR)/mL [95% confidence interval (CI): 23.3–56.1 dcp/mL] and 60.9 dcp/mL (95% CI: 41.8–108 dcp/mL) for the LGV-specific assay. The assay targeting the opa gene showed a LLoD of 21.8 dcp/mL (95% CI: 15.2–38.3 dcp/mL), and for the assay amplifying a PCR product within the porA pseudogene, a LLoD of 244 dcp/mL (95% CI: 141–705 dcp/mL) was determined. Using pooled urine that tested negative for CT and NG by PCR, all assays demonstrated excellent LLoDs. Only the assay targeting the porA pseudogene performed slightly better in eSwab media with a higher LLoD of 277 dcp/mL (95% CI: 186–485 dcp/mL) in urine compared to 244 dcp/mL (95% CI: 141–705 dcp/mL) in the eSwab medium. To determine whether LLoDs in swabs collected from different body sites are similar to those determined in the eSwab medium, pooled clinical specimens (oropharyngeal, anal/rectal, cervical/vaginal, urethral/penile, and ocular swabs) that tested negative for CT and NG by PCR were used (six-step dilution series with eight repeats per dilution step). Oropharyngeal and ocular swabs showed comparable performance, whereas for anal/rectal and urethral/penile swabs, the LLoDs were slightly higher. Cervical/vaginal swabs, however, performed significantly worse compared to the other matrixes tested (Table S1).

TABLE 2.

Lower limit of detection: standards were quantified with digital PCR (dPCR) and used for the determination of lower limit of detection by creating an eight-step dilution series with n = 21 repeats per dilution stepc,d

Chlamydia trachomatis Neisseria gonorrhoeae
serovar A-L3a serovar L1-L3a opa targetb porA targetb
Conc. (dcp/mL) Positive results Hit rate Positive results Hit rate Positive results Hit rate Positive results Hit rate
Swab 400 21/21 100% 21/21 100% n/a n/a n/a n/a
200 21/21 100% 21/21 100% 21/21 100% 20/21 95.24%
100 21/21 100% 21/21 100% 21/21 100% 17/21 80.95%
50 21/21 100% 20/21 95.24% 21/21 100% 14/21 66.67%
25 19/21 90.5% 17/21 80.95% 21/21 100% 12/21 57.14%
12.5 16/21 76.2% 10/21 47.62% 21/21 100% 6/21 28.6%
6.25 5/21 23.8% 4/21 19.05% 15/21 71.43% 0/21 0%
3.13 6/21 28.6% 6/21 28.57% 17/21 80.95% 0/21 0%
1.56 n/a n/a n/a n/a 7/21 33.33% 0/21 0%
Established LLoD 95% CI Established LLoD 95% CI Established LLoD 95% CI Established LLoD 95% CI
Overall (dcp/mL) 32.7 23.3–56.1 60.9 41.8–108 21.08 15.2–38.3 244 141–705
Conc. (dcp/mL) Positive results Hit rate Positive results Hit rate Positive results Hit rate Positive results Hit rate
Urine 1,000 21/21 100% 21/21 100% 21/21 100% 21/21 100%
500 21/21 100% 21/21 100% 21/21 100% 21/21 100%
250 21/21 100% 21/21 100% 21/21 100% 20/21 100%
125 21/21 100% 21/21 100% 21/21 100% 21/21 100%
62.5 21/21 100% 21/21 100% 21/21 100% 21/21 100%
31.25 21/21 100% 20/21 95.24% 21/21 100% 4/21 19.05%
15.63 21/21 100% 19/21 90.48% 20/21 95.24% 9/21 42.86%
7.81 17/21 80.95% 9/21 42.86% 18/21 85.71% 2/21 9.52%
3.91 7/21 33.33% 9/21 42.86% 14/18 66.67% 1/21 4.76%
Established LLoD 95% CI Established LLoD 95% CI Established LLoD 95% CI Established LLoD 95% CI
Overall (dcp/mL) 10.8 8.55–17.4 29 20.3–53.8 13.4 9.34–31.9 277 186–485
a

Targeted gene for dPCR quantification: pmpH (single-copy gene).

b

Targeted gene for dPCR quantification: opa (multi-copy gene).

c

n/a, not applicable; PCR, polymerase chain reaction.

d

Either swab matrix and cobas PCR media (Roche, Rotkreuz, Switzerland) or urine that tested negative for CT and NG by PCR and cobas PCR media (ratio: 50:50) was used for dilution. Concentrations represent digital copies per milliliter specimen.

All assays showed excellent linearity (variation <1 ct). For CT serovars A-L3 and L1-L3, a linear range was observed from 30.1 to 40.7 and 28.6 to 42.0 ct with slopes of −3.509 and −4.338 and Pearson correlation coefficient (r2) of 0.994 and 0.968, respectively. The second-/third-order polynomial showed the best fit for both assays detecting NG. However, the coefficients were not statistically significant. Simple linear regression revealed a slope of −3.272 and −2.834 and r2 of 0.992 and 0.956 for the assays targeting the opa and porA gene, within the measuring interval of 27.4–40.1 and 26.7–38.3 ct, respectively (Fig. 1).

Fig 1.

Fig 1

Linearity: to assess linearity, standards were quantified using dPCR from clinical samples. A 10-fold dilution series (four steps, n = 5 repeats/ dilution) was created and subjected to the UC_CTNG assay on the same device and day. A simple linear regression analysis demonstrated slopes ranging from −2.834 to −4.338 and a Pearson correlation coefficient (R2) ranging from 0.956 to 0.994. Plotted are the linear regression lines (dashed gray lines) and ct test results (blue dots) for the assays detecting (A) CT serovars A-L3, (B) CT serovars L1-L3, (C) NG (target: opa), and (D) NG (target: porA). Abbreviation: UC_CTNG; Utility Channel assay for detection of Chlamydia trachomatis and Neisseria gonorrhoeae.

Inter- and intra-run variability surpassed the set goal of less than 0.5 and 1 ct for each assay. Within-run and between-day variability ranged from 0.0473 to 0.148 ct and 0.0163 to 0.137 ct, respectively, demonstrating a high reproducibility of test results (detailed results of precision experiments are listed in Table S2). No cross-reactivity was observed using a set of different viral and bacterial pathogens (n = 42, Table S3). All external quality assessment (EQA) samples (n = 26) were identified correctly by the Utility Channel assay for the detection of CT and NG (UC_CTNG, n = 18/18 positive and n = 8/8 negative for CT; n = 9/9 positive and n = 6/6 negative for NG).

Clinical validation

The UC_CTNG assay is considered NG-positive if both the opa and porA targets are reported as positive in this manuscript. If discrepant results are observed (opa+/porA− or opa−/porA+), either the test must be performed again or confirmation of NG by culture is warranted (Fig. 2). A comparison of assay performance to a CE-IVD assay (cobas CT/NG) as a reference standard revealed a sensitivity of 94.74% (95% CI: 87.23%–97.93%) and 95.51% (95% CI: 89.01%–98.24%) and a specificity of 99.59% (95% CI: 97.71%–99.98%) and 99.57% (95% CI: 97.58%–99.98%) for the assays detecting CT and NG, respectively. To calculate the positive and negative predictive values, the prevalence for both pathogens was calculated based on a retrospective analysis of 4,298 genital and extra-genital specimens tested at our center (1 November 2022–31 May 2023, as part of this study) and was found to be 3.7% and 3.4% for CT and NG, respectively. Positive predictive values were determined to be 89.91% (95% CI: 80.91%–95.6%) and 88.61% (95% CI: 80.18%–94.34%) and negative predictive values as 99.81% (95% CI: 98.14%–100%) and 99.85% (95% CI: 98.14%–100%) for the detection of CT and NG, respectively.

Fig 2.

Fig 2

Interpretation of test results: if only one of the two NG targets is amplified, it is recommended that the test result should be confirmed by culture or re-tested within a reasonable time, as commensal N. spp. could encode for one of the target genes due to horizontal gene transmission (HGT). If the respective internal control (IC) is negative (not shown; detection in channel 5), the test results are invalid and need to be repeated. The figure was created using BioRender.com. *Detection of the LGV-specific target (the probe hybridizes to the junction area of the deletion region within the pmpH gene that is strictly present in LGV strains). **Detection of the non-LGV-specific target within the pmpH gene. Abbreviation: +, reactive; −, non-reactive.

The quantitative correlation analysis showed a strong correlation between the assays with an r2 of 0.9034 (target: pmpH non-LGV-specific and cryptic plasmid), 0.9283 (target: pmpH LGV-specific), 0.9862 (target: opa), and 0.9794 (target: porA; Fig. 3). To analyze the agreement between the UC_CTNG and the CE-IVD assay, a Bland–Altman comparison was conducted. The analysis revealed a mean of the bias of 1.359 [95% limits of agreement (±1.96 standard deviations): 4.436 and −1.718], −2.393 (95% limits of agreement: −0.969 and −3.818), and −2.02 (95% limits of agreement: −0.2959 and −3.745) for comparison of the CE-IVD and LDT assay detecting CT (all serovars), NG opa target, and NG porA target, respectively (Fig. S1). For the assays detecting CT (all serovars) and the detection of NG (both UC_CTNG NG targets positive), one false-positive (UC_CTNG: positive; CE-IVD assay: negative) and four false-negative (UC_CTNG: negative; CE-IVD assay: positive) test results were identified each (see Fig. 2). False-negative results occurred exclusively in samples with high ct values (>37.13 and >39.58 ct for the assays detecting CT and NG, respectively) and, thus, estimated low DNA load. Similarly, false-positive results occurred in patient samples with estimated low target concentrations (NG: opa target: 36.9 ct and porA target: 35.5 ct; CT: non-LGV-specific targets: 40.83 ct; Table S4).

Fig 3.

Fig 3

Correlation: correlation of test results (ct values) of the LDT (UC_CTNG) and CE-IVD (CT/NG, Roche, Rotkreuz, Switzerland) assays detecting (A) CT serovars A-L3 (LGV strains are plotted as violet dots), (B) NG (LDT target: opa), and (C) NG (LDT target: porA). In the upper left-hand corner of (A), test results of the LDT detecting LGV strains are plotted compared to the CE-IVD assay detecting all CT serovars. All samples were tested on the same device and day. Samples that tested negative for one of the assays are plotted on the respective axis. The table shows an overall agreement between the UC_CTNG and CT/NG assay that was used as a reference standard. All false-negative test results occurred with low positive samples (all ct >37). Ct values for false-negative and false-positive test results are displayed in Table S5. Samples that tested positive for NG for only one target (opa or porA) with the LDT assay were considered negative.

Assay performance in routine diagnostics

A total of 4,298 samples consisting of swabs (n = 2,876), urine (n = 1,391), and assorted/unassigned samples (n = 31) were screened with the UC_CTNG assay between 1 November 2022 and 31 May 2023, of which 1,962 were additionally tested by NG culture. The majority of the screened swabs consisted of oropharyngeal (n = 1,174) and anal/rectal (n = 1,085) swabs; also, urethral/penile (n = 325), vaginal/cervical (n = 250), ocular (n = 26), and unassigned (n = 16) swabs were tested. In total, 162/4,298 CT-positive samples were identified including 8/162 LGV-positive samples, and in 145/4,298 samples, NG was detected (opa and porA target reactive). Of 4,298 samples, 28 were positive for both pathogens, including three LGV strains. In 4.5% of chlamydial infections, LGV strains were identified (Table S5). No culture-positive NG infection was missed with the UC_CTNG assay. In 53/54 NG culture-positive samples (98.2%), both NG targets were detected, and in 1/54 (1.8%; conjunctival swab), only the opa tested positive (opa: 20 ct, porA: non-reactive). Further, 62 samples were tested positive for both NG targets with the molecular assay but remained negative in culture. Analysis of all oropharyngeal swabs (n = 1,174/4,298) that were tested during the respective time period identified 15 samples that tested positive for one NG target only (opa positive: 13/15, mean: 34.32 ct; range: 24–41 ct; porA positive: 2/15, mean ct: 36.4; ct values: 35.2 and 37.6). None of these samples showed growth of NG in culture. However, in 4/15 (26.67%) samples, Neisseria meningitides was later identified by culture (mean: 31.6 ct, range: 24–38.6 ct; Table S6), suggesting that horizontal transmission of the PCR target gene had occurred between the two species.

DISCUSSION

We established a dual-target PCR assay for the detection of NG, CT, and LGV typing on a high-throughputCR system featuring a full-process control. This design approach increases the reliability of detection coverage in case of mutations/deletions within the target regions, as CT strains that present a 377-bp-long deletion area within the cryptic plasmid sequence and plasmid-free CT isolates as well as PorA-negative NG isolates have been reported (16, 17, 2428).

A dual-target approach is essential to avoid false-positive results from oropharyngeal swabs due to the detection of commensal N. spp. The oropharyngeal mucosa represents an ideal niche for N. spp., where NG and N. meningitides can coexist among commensal N. spp., a situation favorable for HGT (29). Thus, commensal N. spp. may encode for one of the genes targeted in thePCR assay (3033). Consequently, we recommend that samples tested positive for only one of the NG targets should be confirmed by culture or re-evaluated within a reasonable time frame. The results of our retrospective analysis of 4,298 samples as part of the evaluation of the clinical performance of the UC_CTNG assay support this practice, as they show that discrepant test results may occur and can be resolved using this two-line strategy. This approach is particularly important for screening in high-risk groups for oropharyngeal infections, as oropharyngeal swabs are the second most common material after anal swabs in which NG can be detected (33.3% vs 46.43%; retrospective analysis of n = 2,690 samples from patients who visited our center’s post-exposure consultation within 7 months).

Moreover, an assay that helps guide the discrimination of gonococcal infections from commensal N. spp. is important since HGT is playing a major role in the increased number of AMR NG. Variations in the penA gene that are associated with cephalosporin resistance have been reported to be from commensal origin, underlining the clinical importance and implications arising from HGT as well as the need for consequent screening strategies (30, 34, 35). Oropharyngeal NG infections are frequently asymptomatic, resulting in undiagnosed cases due to insufficient testing, which in turn promotes disease transmission and dissemination. Therefore, an adequate screening regime and a reliable diagnostic tool are of utmost importance.

However, while reliably detecting all NG strains, our assay cannot predict the presence of AMR NG. This limitation warrants a culture approach or second-line PCR testing using recently published primer/probe sets targeting NG genes associated with AMR (3638). This approach is particularly relevant in case of treatment failure, as the incidence of AMR NG is steadily rising (39, 40).

In addition, the here-described assay is able to differentiate between LGV and non-LGV CT strains without the need for additional PCR reactions. LLoDs for non-LGV and LGV CT strains differed by less than factor 2 [tested in two different matrixes that represent typical clinical specimens: viral transport media (eSwab) and urine] enabling CT serovar typing even in low positive samples, which was previously shown to be challenging (25). Of all CT-infected patients in our cohort, 4.5% (8/162) were LGV-positive. Although the overall prevalence in our mixed population was lower than the 15%–16.5% found by a study in German high-risk populations (men who have sex with men) (41), our data highlight the importance of differentiating between LGV and non-LGV to allow optimal patient care.

The here-described validation of the UC_CTNG assay was performed in accordance with the current European guidelines (regulation 2017/746 EU IVDR). However, requirements and guidelines for validation and verification of LDTs for diagnostic purposes vary from country to country as well as between regulatory bodies. Therefore, verification experiments are warranted, especially for the different matrixes (incl. different swab collection systems) for which the assay will be used, if the UC_CTNG assay is implemented in another laboratory for diagnostic purposes.

In conclusion, we established a dual-target internally controlled LDT PCR assay on the open channel of a fully automated system for molecular diagnostic of CT/NG and simultaneous LGV typing from genital and extra-genital specimens. The assay was highly sensitive and demonstrated comparative assay performance to a competitor assay (CE-IVD marked and FDA cleared) in our clinical set. The dual-target principle of the UC_CTNG assay can reduce false-positive test results in oropharyngeal swabs due to the detection of commensal N. spp. and enables sensitive differentiation between LGV/non-LGV CT strains at the same time. Depending on local regulations, the assay could be used as either a screening or a confirmatory typing assay run on a fully automated platform.

MATERIALS AND METHODS

Assay design and PCR setup

Primers/probe sets from previously published diagnostic assays were selected and adapted for use on the cobas 5800/6800/8800 to enable the simultaneous detection of non-LGV, LGV CT, and NG strains in one reaction (2123, 42, 43). For the detection of CT, primers and probes targeting the pmpH and cryptic plasmid gene as described by Chen et al. were chosen (43). To identify LGV strains (serovars L1-L3), two different probes are used, each hybridizing within the pmpH gene but labeled with a different fluorophore. This concept relies on the presence of a 36-bp deletion in the pmpH gene, which is only present in LGV strains (44). The FAM-labeled probe (LGV-probe) hybridizes to a LGV-specific sequence (junction area) whereas the SUN-labeled probe (nonLGV-probe_02) hybridizes to a conserved region within the deletion area, hence detecting CT serovars D-K (Fig. 4) (42). The second CT PCR target is the multi-copy cryptic plasmid gene. The PCR product is 87 bp long, and the corresponding probe (nonLGV-probe_01) detects all CT serovars. Both non-LGV-specific probes (nonLGV-probe_01 and nonLGV-probe_02) are labeled with the same fluorophore (SUN), thus generating a fluorescence signal in the same channel (channel 3). For the detection of NG, a primer/probe set targeting the PorA pseudogene on account of its highly conserved sequence and specificity for NG is used (22, 23). The second NG target is the multi-copy opa gene, a highly conserved region of the NG genome (45). The PCR products are 89 and 90 bp long, respectively. The assay is regarded as NG-positive if both NG targets yield a positive test result. Discrepant test results of the two NG targets require confirmation through culture or re-testing. The interpretation of test results of the multiplex assay is shown in Fig. 2.

Fig 4.

Fig 4

Discrimination between LGV and non-LGV CT strains: A dual-target approach was chosen for the detection of CT (targeted genes: pmpH and cryptic plasmid). For CT serotyping, a LGV-specific probe (dark red) was chosen that hybridizes to the junction of a deletion area in the pmpH gene that is strictly present within LGV strains. The fluorescence signal of the LGV-specific probe is detected in channel 2. The non-LGV-specific probe (violet) hybridized within the deletion is in the pmpH gene, thus detecting CT serovars D-K, and the probe hybridized within the cryptic plasmid gene (yellow) detects all CT serovars. Both probes are labeled with the same fluorophore and are, thus, detected in the same channel (channel 3). The figure was created using BioRender.com. Abbreviations: F, fluorophore; Q, quencher.

The sequences of the utilized oligonucleotides are listed in Table 1. For adaptation on the cobas 5800/6800/8800 system, primers and probes were modified accordingly. Modifications included the use of locked nucleic acids to increase hybridization melting temperature, thereby improving binding (27, 28). To further increase Tm, the LGV-specific probe (LGV-probe) was supplemented by four additional bases at the 5′ end compared to its original published sequence by Morré et al. (42). Next, long sequence probes were double-quenched to reduce background fluorescence. Furthermore, a second reverse primer (opa-rev_02) targeting the opa gene was added, which differs only in the penultimate base to cover a critical mismatch at this position. Consequently, the 2′O-methylation had to be changed in this primer to the base before the penultimate base. All primers and probes were ordered from and custom-made by Ella Biotech (Fürstenfeldbrock, Germany).

As multiplex PCR assays harbor the risk of formation of primer dimers resulting in primer consumption and unspecific amplification of human DNA/RNA due to the use of a variety of different oligonucleotides, all utilized primers and probes were analyzed using Primer blast (NCBI, USA, selected database: nr) and the Oligo-Analyzer software (IDT, Coralville, IO, USA). To further prevent the formation of self- and cross-primer dimers, reverse and forward primers were modified with a 2′-O-methyl base in their penultimate base.

The temperature profile of the PCR is displayed in Table S7, and detailed information on the assembly of the master mix can be found in Table S8. The UC MMX-R2 (Utility Channel Master Mix Reagent 2, Roche, Rotkreuz, Switzerland) used in the master mix includes sequence-specific primers and probe for the amplification of the IC. The IC is spiked in automatically during extraction, thus acting as a build-in full-process control for each reaction. IC detection and the minimum of the relative fluorescence increase of corresponding curves can be customized using the respective software and is used as a threshold for the automatic calling of qualitative results.

Evaluation of technical performance

The evaluation of the technical performance of the assay was conducted according to the new European Union regulations (Regulation 2017/746 EU IVDR). Quantitative reference standards were created using dPCR (Qiagen, Venlo, Netherlands) from clinical samples. Briefly, highly positive samples for CT serovars L1-L3 (LGV strain) and NG were selected and diluted to amount to a final volume of 2 mL. Nucleic acid extraction was performed on the QiaSymphony platform (Qiagen, Hilden, Germany). Next, serial dilutions of the clinical samples (10-fold, three steps, n = 1 repeat per dilution) were tested on a digital PCR system (Qiagen, Hilden, Germany) using the primers and probes described in this study [targeted genes for dPCR quantification: CT: pmpH (single-copy gene); NG: opa (multi-copy gene)]. The average of the concentrations in decimal copies per milliliter as determined by the corresponding digital PCR software was used for downstream experiments.

To determine the LLoD of the UC_CTNG assay in urine and swabs, the standards were used to create a twofold dilution series (eight steps, n = 21 repeats per dilution) on the Hamilton STARled IVD liquid handler (Hamilton Company, Bonaduz, Switzerland). The lowest applied concentration was 3.13 digital copies (dcp)/mL (swab)/3.91 dcp/mL (urine) and the highest 400 dcp/mL (swab)/1,000 dcp/mL (urine) for the assays detecting CT and 1.56 dcp/mL (swab)/3.91 dcp/mL (urine) and 200 dcp/mL (swab)/1,000 dcp/mL (urine) for the assays detecting NG, respectively. cobas PCR and eSwab medium (ratio: 50:50) or cobas PCR medium and urine (ratio: 50:50), which tested negative for CT and NG by PCR, were used as the diluent. To examine whether swabs collected from different body sites interfere with the established technical performance of the assay, verification experiments using pooled clinical specimens (oropharyngeal, anal/rectal, cervical/vaginal, urethral/penile, and ocular swabs) as a matrix were used (diluted in cobas PCR media, ratio: 50:50). Matrix pools were tested non-reactive for CT and NG by PCR beforehand. Next, a twofold dilution series of the quantitative standards was tested for each matrix separately and in the eSwab medium (each six steps, eight repeats per step).

The assessment of linearity was performed by creating a 10-fold dilution series (four steps, n = 5 replicates per dilution) utilizing the standards quantified by dPCR. Inter- and intra-run variability was tested over the course of 3 days. On the first day, three samples (two positive and one negative, eSwab) were tested in a technical replica of three. On the following 2 days, the analysis was repeated with one replicate per sample. Exclusivity was assessed using a variety of different pathogens (n = 42, Table S3).

Evaluation of clinical performance

The UC_CTNG assay was compared to an CE-IVD assay (cobas CT/NG, Roche, Rotkreuz, Switzerland) as a reference standard to assess assay performance. Sample analysis was performed on the same device and day. Both assays were subjected to a set of clinical samples, which included prospectively collected clinical specimens (n = 205, swabs and urine) and additional positive samples for NG and CT, which were identified by screening of our records (n = 114). Samples were stored at −20°C or lower until further use. For all swabs, the Copan eSwab collection and transport system (Copan Diagnostics Inc., Brescia, Italy) was used, and 1 mL of cobas PCR media (Roche, Rotkreuz, Switzerland) was added before testing. Urine samples were diluted 1:2 with cobas PCR media before testing.

For further evaluation of clinical performance, a set of EQA samples (n = 26) provided by INSTAND (Düsseldorf, Germany) containing either NG, CT, or both or neither pathogen was used. Next, for additional characterization of the assay, 7 months of testing under routine conditions was retrospectively analyzed (1 November 2022–31 May 2023). When possible, NG culture and PCR were performed in parallel. Briefly, a 10 µL sample (eSwab) was transferred to a selective agar for the isolation of NG and N. meningitides (chocolate agar PolyViteX VCAT3, BioMérieux, Marcy-l'Étoile, France) and incubated at 36 ± 1°C in 5% CO2. Bacterial growth was assessed after 36–48 h according to our standard protocol. Suspected colonies were further analyzed by MALDI-TOF (MALDI Biotyper, Bruker, Billerica, MA, USA).

Statistical analysis

Statistical analysis was conducted using GraphPad Prism version 9 (San Diego, CA, USA) and Validation Manager software (Finbiosoft, Espoo, Finland). For the analysis of the LLoD, a Probit analysis was computed. Figures 1 and 2 were created with BioRender.com. The use of anonymous samples was approved by the local ethics committee (Freie und Hansestadt Hamburg; No.: PV5626).

Supplementary Material

Reviewer comments
reviewer-comments.pdf (298KB, pdf)

ACKNOWLEDGMENTS

Marc Lütgehetmann and Holger Rohde are funded by the German Center of Infection Research (DZIF; institutional funding only).

We acknowledge financial support from the Open Access Publication Fund of UKE - Universitätsklinikum Hamburg-Eppendorf and DFG – German Research Foundation.

Contributor Information

Marc Lütgehetmann, Email: mluetgeh@uke.de.

Ana Cabrera, London Health Sciences Centre, London, Canada.

Megan Amerson, University of Alabama at Birmingham, Birmingham, Alabama, USA.

ETHICS APPROVAL

The use of anonymous samples was approved by the local ethics committee (Freie und Hansestadt Hamburg; No.: PV5626).

SUPPLEMENTAL MATERIAL

The following material is available online at https://doi.org/10.1128/spectrum.02756-23.

Supplemental material. spectrum.02756-23-s0001.docx.

Fig. S1 and Tables S1 to S8.

DOI: 10.1128/spectrum.02756-23.SuF1
OPEN PEER REVIEW. reviewer-comments.pdf.

An accounting of the reviewer comments and feedback.

reviewer-comments.pdf (298KB, pdf)
DOI: 10.1128/spectrum.02756-23.SuF2

ASM does not own the copyrights to Supplemental Material that may be linked to, or accessed through, an article. The authors have granted ASM a non-exclusive, world-wide license to publish the Supplemental Material files. Please contact the corresponding author directly for reuse.

REFERENCES

  • 30. 2021. Global Progress Report on HIV, Viral Hepatitis and Sexually Transmitted Infections, 2021: Accountability for the Global Health Sector Strategies 2016–2021: Actions for Impact. Geneva: World Health Organization. Licence: CC BY-NC-SA 3.0 IGO. [Google Scholar]
  • 2. 2007. Global Strategy for the Prevention and Control of Sexually Transmitted Infections: 2006-2015: Breaking the Chain of Transmission. World Health Organization. ISBN: 978 92 4 156347 5. [Google Scholar]
  • 3. Ison CA, Hussey J, Sankar KN, Evans J, Alexander S. 2011. Gonorrhoea treatment failures to cefixime and azithromycin in England, 2010. Euro Surveill 16:19833. [PubMed] [Google Scholar]
  • 4. Yin Y-P, Han Y, Dai X-Q, Zheng H-P, Chen S-C, Zhu B-Y, Yong G, Zhong N, Hu L-H, Cao W-L, Zheng Z-J, Wang F, Zhi Q, Zhu X-Y, Chen X-S. 2018. Susceptibility of Neisseria gonorrhoeae to azithromycin and ceftriaxone in China: a retrospective study of national surveillance data from 2013 to 2016. PLoS Med 15:e1002499. doi: 10.1371/journal.pmed.1002499 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Cole MJ, Quinten C, Jacobsson S, Day M, Amato-Gauci AJ, Woodford N, Spiteri G, Unemo M, Euro-GASP network . 2019. The European gonococcal antimicrobial surveillance programme (Euro-GASP) appropriately reflects the antimicrobial resistance situation for Neisseria gonorrhoeae in the European Union/European economic area. BMC Infect Dis 19:1040. doi: 10.1186/s12879-019-4631-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Whiley DM, Jennison A, Pearson J, Lahra MM. 2018. Genetic characterisation of Neisseria gonorrhoeae resistant to both ceftriaxone and azithromycin. Lancet Infect Dis 18:717–718. doi: 10.1016/S1473-3099(18)30340-2 [DOI] [PubMed] [Google Scholar]
  • 7. Golparian D, Rose L, Lynam A, Mohamed A, Bercot B, Ohnishi M, Crowley B, Unemo M. 2018. Multidrug-resistant Neisseria gonorrhoeae isolate, belonging to the internationally spreading Japanese FC428 clone, with ceftriaxone resistance and intermediate resistance to azithromycin. Euro Surveill 23:1800617. doi: 10.2807/1560-7917.ES.2018.23.47.1800617 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Terkelsen D, Tolstrup J, Johnsen CH, Lund O, Larsen HK, Worning P, Unemo M, Westh H. 2017. Multidrug-resistant Neisseria gonorrhoeae infection with ceftriaxone resistance and intermediate resistance to azithromycin. Euro Surveill. 22:17-00659. doi: 10.2807/1560-7917.ES.2017.22.42.17-00659 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Eyre DW, Sanderson ND, Lord E, Regisford-Reimmer N, Chau K, Barker L, Morgan M, Newnham R, Golparian D, Unemo M, Crook DW, Peto TE, Hughes G, Cole MJ, Fifer H, Edwards A, Andersson MI. 2018. Gonorrhoea treatment failure caused by a Neisseria gonorrhoeae strain with combined ceftriaxone and high-level azithromycin resistance, England, February 2018. Euro Surveill 23:1800323. doi: 10.2807/1560-7917.ES.2018.23.27.1800323 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Papp JR, Schachter J, Gaydos CA, Van Der Pol B. 2014. Recommendations for the laboratory-based detection of Chlamydia Trachomatis and Neisseria Gonorrhoeae—2014. MMWR Recomm Rep 63:1–19. [PMC free article] [PubMed] [Google Scholar]
  • 11. Watson EJ, Templeton A, Russell I, Paavonen J, Mardh P-A, Stary A, Pederson BS. 2002. The accuracy and efficacy of screening tests for Chlamydia trachomatis: a systematic review. J Med Microbiol 51:1021–1031. doi: 10.1099/0022-1317-51-12-1021 [DOI] [PubMed] [Google Scholar]
  • 12. Lim RBT, Wong ML, Cook AR, Brun C, Chan RKW, Sen P, Chio M. 2015. Determinants of Chlamydia, gonorrhea, and coinfection in heterosexual adolescents attending the national public sexually transmitted infection clinic in Singapore. Sex Transm Dis 42:450–456. doi: 10.1097/OLQ.0000000000000316 [DOI] [PubMed] [Google Scholar]
  • 13. Seo Y, Choi KH, Lee G. 2021. Characterization and trend of co-infection with Neisseria gonorrhoeae and Chlamydia trachomatis from the Korean national infectious diseases surveillance database. World J Mens Health 39:107–115. doi: 10.5534/wjmh.190116 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Kent CK, Chaw JK, Wong W, Liska S, Gibson S, Hubbard G, Klausner JD. 2005. Prevalence of rectal, urethral, and pharyngeal Chlamydia and gonorrhea detected in 2 clinical settings among men who have sex with men. Clin Infect Dis 41:67–74. doi: 10.1086/430704 [DOI] [PubMed] [Google Scholar]
  • 15. Simmonds P, Balfe P, Peutherer JF, Ludlam CA, Bishop JO, Brown AJ. 1990. Human immunodeficiency virus-infected individuals contain provirus in small numbers of peripheral mononuclear cells and at low copy numbers. J Virol 64:864–872. doi: 10.1128/JVI.64.2.864-872.1990 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Matsumoto A, Izutsu H, Miyashita N, Ohuchi M. 1998. Plaque formation by and plaque cloning of Chlamydia trachomatis biovar trachoma. J Clin Microbiol 36:3013–3019. doi: 10.1128/JCM.36.10.3013-3019.1998 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Stothard DR, Williams JA, Van Der Pol B, Jones RB. 1998. Identification of a Chlamydia trachomatis serovar E urogenital isolate which lacks the cryptic plasmid. Infect Immun 66:6010–6013. doi: 10.1128/IAI.66.12.6010-6013.1998 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Golparian D, Hellmark B, Unemo M. 2015. Analytical specificity and sensitivity of the novel dual-target geneproof Neisseria gonorrhoeae PCR kit for detection of N. Gonorrhoeae. APMIS 123:955–958. doi: 10.1111/apm.12440 [DOI] [PubMed] [Google Scholar]
  • 19. Møller JK, Pedersen LN, Persson K. 2010. Comparison of the abbott realtime CT new formulation assay with two other commercial assays for detection of wild-type and new variant strains of Chlamydia trachomatis. J Clin Microbiol 48:440–443. doi: 10.1128/JCM.01446-09 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Chen C-Y, Chi KH, Alexander S, Ison CA, Ballard RC. 2008. A real-time Quadriplex PCR assay for the diagnosis of rectal lymphogranuloma venereum and non-lymphogranuloma venereum Chlamydia trachomatis infections. Sex Transm Infect 84:273–276. doi: 10.1136/sti.2007.029058 [DOI] [PubMed] [Google Scholar]
  • 21. Tabrizi SN, Chen S, Tapsall J, Garland SM. 2005. Evaluation of OPA-based real-time PCR for detection of Neisseria gonorrhoeae. Sex Transm Dis 32:199–202. doi: 10.1097/01.olq.0000154495.24519.bf [DOI] [PubMed] [Google Scholar]
  • 22. Budkaew J, Chumworathayi B, Pientong C, Ekalaksananan T. 2017. Conventional culture versus nucleic acid amplification tests for screening of urethral Neisseria gonorrhea infection among asymptomatic men who have sex with men. Pragmat Obs Res 8:167–173. doi: 10.2147/POR.S137377 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Budkaew J, Chumworathayi B, Pientong C, Ekalaksananan T. 2019. Prevalence and factors associated with gonorrhea infection with respect to anatomic distributions among men who have sex with men. PLoS One 14:e0211682. doi: 10.1371/journal.pone.0211682 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Ripa T, Nilsson PA. 2007. A Chlamydia trachomatis strain with a 377-bp deletion in the cryptic plasmid causing false-negative nucleic acid amplification tests. Sex Transm Dis 34:255–256. doi: 10.1097/OLQ.0b013e31805ce2b9 [DOI] [PubMed] [Google Scholar]
  • 25. Peterson EM, Markoff BA, Schachter J, de la Maza LM. 1990. The 7.5-KB Plasmid present in Chlamydia trachomatis is not essential for the growth of this microorganism. Plasmid 23:144–148. doi: 10.1016/0147-619x(90)90033-9 [DOI] [PubMed] [Google Scholar]
  • 26. Farencena A, Comanducci M, Donati M, Ratti G, Cevenini R. 1997. Characterization of a new isolate of Chlamydia trachomatis which lacks the common Plasmid and has properties of biovar trachoma. Infect Immun 65:2965–2969. doi: 10.1128/iai.65.7.2965-2969.1997 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Sweeney EL, Bletchly C, Gupta R, Whiley DM. 2019. False-negative Chlamydia polymerase chain reaction result caused by a cryptic plasmid-deficient Chlamydia trachomatis strain in Australia. Sex Health 16:394–396. doi: 10.1071/SH18205 [DOI] [PubMed] [Google Scholar]
  • 28. Toby M, Saunders P, Cole M, Grigorjev V, Alexander S, Ison C. 2017. Prevalence of porA pseudogene deletion among Neisseria gonorrhoeae isolates referred to the UK’s gonococcal resistance to antimicrobials surveillance program. Sex Health 14:392–393. doi: 10.1071/SH16162 [DOI] [PubMed] [Google Scholar]
  • 29. Whiley DM, Tapsall JW, Sloots TP. 2006. Nucleic acid amplification testing for Neisseria gonorrhoeae: An ongoing challenge. J Mol Diagn 8:3–15. doi: 10.2353/jmoldx.2006.050045 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Ito M, Deguchi T, Mizutani K-S, Yasuda M, Yokoi S, Ito S-I, Takahashi Y, Ishihara S, Kawamura Y, Ezaki T. 2005. Emergence and spread of Neisseria gonorrhoeae clinical isolates harboring mosaic-like structure of penicillin-binding protein 2 in central Japan. Antimicrob Agents Chemother 49:137–143. doi: 10.1128/AAC.49.1.137-143.2005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Osaka K, Takakura T, Narukawa K, Takahata M, Endo K, Kiyota H, Onodera S. 2008. Analysis of amino acid sequences of penicillin-binding protein 2 in clinical isolates of Neisseria gonorrhoeae with reduced susceptibility to cefixime and ceftriaxone. J Infect Chemother 14:195–203. doi: 10.1007/s10156-008-0610-7 [DOI] [PubMed] [Google Scholar]
  • 32. Qvarnström Y, Swedberg G. 2002. Sulphonamide resistant commensal Neisseria with alterations in the dihydropteroate synthase can be isolated from carriers not exposed to sulphonamides. BMC Microbiol 2:34. doi: 10.1186/1471-2180-2-34 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Ameyama S, Onodera S, Takahata M, Minami S, Maki N, Endo K, Goto H, Suzuki H, Oishi Y. 2002. Mosaic-like structure of penicillin-binding protein 2 gene (penA) in clinical isolates of Neisseria gonorrhoeae with reduced susceptibility to cefixime. Antimicrob Agents Chemother 46:3744–3749. doi: 10.1128/AAC.46.12.3744-3749.2002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Spratt BG, Bowler LD, Zhang QY, Zhou J, Smith JM. 1992. Role of interspecies transfer of chromosomal genes in the evolution of penicillin resistance in pathogenic and commensal Neisseria species. J Mol Evol 34:115–125. doi: 10.1007/BF00182388 [DOI] [PubMed] [Google Scholar]
  • 35. Ozaki T, Nishimura N, Suzuki M, Narita A, Watanabe N, Ahn J, Koyama N, Ushida H, Nakane K, Yasuda N, Funahashi K. 2008. Five-day oral cefditoren pivoxil versus 10-day oral amoxicillin for pediatric group A streptococcal pharyngotonsillitis. J Infect Chemother 14:213–218. doi: 10.1007/s10156-008-0602-7 [DOI] [PubMed] [Google Scholar]
  • 36. Zhao L, Liu A, Li R, Zhao S. 2019. Multiplex TaqMan real-time PCR platform for detection of Neisseria gonorrhoeae with decreased susceptibility to ceftriaxone. Diagn Microbiol Infect Dis 93:299–304. doi: 10.1016/j.diagmicrobio.2018.10.013 [DOI] [PubMed] [Google Scholar]
  • 37. Shimuta K, Igawa G, Yasuda M, Deguchi T, Nakayama SI, Ohnishi M. 2019. A real-time PCR assay for detecting a penA mutation associated with ceftriaxone resistance in Neisseria gonorrhoeae. J Glob Antimicrob Resist 19:46–49. doi: 10.1016/j.jgar.2019.02.011 [DOI] [PubMed] [Google Scholar]
  • 38. Zhang C, Xiu L, Li Y, Sun L, Li Y, Zeng Y, Wang F, Peng J. 2021. Multiplex PCR and nanopore sequencing of genes associated with antimicrobial resistance in Neisseria gonorrhoeae directly from clinical samples. Clin Chem 67:610–620. doi: 10.1093/clinchem/hvaa306 [DOI] [PubMed] [Google Scholar]
  • 39. Whiley DM, Goire N, Lahra MM, Donovan B, Limnios AE, Nissen MD, Sloots TP. 2012. The ticking time bomb: escalating antibiotic resistance in Neisseria gonorrhoeae is a public health disaster in waiting. J Antimicrob Chemother 67:2059–2061. doi: 10.1093/jac/dks188 [DOI] [PubMed] [Google Scholar]
  • 40. Unemo M, Shafer WM. 2014. Antimicrobial resistance in Neisseria gonorrhoeae in the 21st century: past, evolution, and future. Clin Microbiol Rev 27:587–613. doi: 10.1128/CMR.00010-14 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Haar K, Dudareva-Vizule S, Wisplinghoff H, Wisplinghoff F, Sailer A, Jansen K, Henrich B, Marcus U. 2013. Lymphogranuloma venereum in men screened for pharyngeal and rectal infection, Germany. Emerg Infect Dis 19:488–492. doi: 10.3201/eid1903.121028 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Morré SA, Spaargaren J, Fennema JSA, de Vries HJC, Coutinho RA, Peña AS. 2005. Real-time polymerase chain reaction to diagnose lymphogranuloma venereum. Emerg Infect Dis 11:1311–1312. doi: 10.3201/eid1108.050535 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. Chen C-Y, Chi K-H, Alexander S, Martin IMC, Liu H, Ison CA, Ballard RC. 2007. The molecular diagnosis of lymphogranuloma venereum: evaluation of a real-time multiplex polymerase chain reaction test using rectal and urethral specimens. Sex Transm Dis 34:451–455. doi: 10.1097/01.olq.0000245957.02939.ea [DOI] [PubMed] [Google Scholar]
  • 44. Stothard DR, Toth GA, Batteiger BE. 2003. Polymorphic membrane protein H has evolved in parallel with the three disease-causing groups of Chlamydia trachomatis. Infect Immun 71:1200–1208. doi: 10.1128/IAI.71.3.1200-1208.2003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. Dempsey JA, Litaker W, Madhure A, Snodgrass TL, Cannon JG. 1991. Physical map of the chromosome of Neisseria gonorrhoeae FA1090 with locations of genetic markers, including opa and pil genes. J Bacteriol 173:5476–5486. doi: 10.1128/jb.173.17.5476-5486.1991 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Reviewer comments
reviewer-comments.pdf (298KB, pdf)
Supplemental material. spectrum.02756-23-s0001.docx.

Fig. S1 and Tables S1 to S8.

DOI: 10.1128/spectrum.02756-23.SuF1
OPEN PEER REVIEW. reviewer-comments.pdf.

An accounting of the reviewer comments and feedback.

reviewer-comments.pdf (298KB, pdf)
DOI: 10.1128/spectrum.02756-23.SuF2

Articles from Microbiology Spectrum are provided here courtesy of American Society for Microbiology (ASM)

RESOURCES