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. Author manuscript; available in PMC: 2019 May 1.
Published in final edited form as: Sex Transm Dis. 2018 May;45(5):312–315. doi: 10.1097/OLQ.0000000000000755

Molecular characterization of markers associated with antimicrobial resistance in Neisseria gonorrhoeae identified from residual clinical samples

Johan H Melendez 1,2,*, Justin Hardick 1, Mathilda Barnes 1, Perry Barnes 1, Christopher D Geddes 2, Charlotte A Gaydos 1
PMCID: PMC5895510  NIHMSID: NIHMS917435  PMID: 29465687

Abstract

Background

The emergence and spread of antimicrobial-resistant (AMR) Neisseria gonorrhoeae (NG) is a major public health concern. In the era of nucleic acid amplifications tests (NAATs), rapid and accurate molecular approaches are needed to help increase surveillance, guide antimicrobial stewardship, and prevent outbreaks.

Methods

Residual urethral swabs, collected prospectively in the Baltimore City Health Department during a six-month period, were analyzed by real-time PCR assays for NG DNA and AMR determinants to fluoroquinolones, penicillin, and extended-spectrum cephalosporins (ESCs).

Results

NG DNA was detected in 34.8% (73/210) of samples, including 67.3% (68/101) of the swabs which had been previously identified as NG-positive by culture. Markers associated with decreased susceptibility to fluoroquinolones were detected in 22.4% of the PCR NG-positive samples. The rate of penicillinase-producing Neisseria gonorrhoeae (PPNG) was very low (1.6%) and no markers associated with decreased susceptibility to ESCs were detected in this cohort of men using the AMR assays herein described.

Conclusions

Detection of molecular markers associated with AMR in NG can be performed directly from residual clinical samples, even though the recovery rate of adequate DNA for molecular testing from these samples can be sub-optimal. A high number of samples with mutations associated with decreased susceptibility to fluoroquinolones were identified.

Keywords: Neisseria gonorrhoeae, Gonorrhea, Antimicrobial resistance, PCR

Introduction

Gonorrhea is the second most prevalent bacterial sexually transmitted infection (STI) worldwide.1 In 2015, there were 395,216 cases of Neisseria gonorrhoeae (NG) infections reported to the Centers for Disease Control and Prevention (CDC), an 11.4% increase from the cases reported in 2014.2 NG has progressively developed resistance to a variety of antimicrobials and the recent emergence of isolates with resistance to extended-spectrum cephalosporins (ESCs), the recommended and last remaining option for the treatment of NG, has prompted worldwide concern regarding the possible spread of AMR NG.3,4,5 In order to combat the spread of resistant strains, there is a need to increase surveillance testing in order to identify outbreaks and to guide effective therapeutic options.6

Since 1986 AMR trends of NG strains in the US have been monitored through the Gonococcal Isolate Surveillance Project (GISP).7 However, the data collected by GISP might not provide a complete representation of AMR trends, as GISP only collects the first 25 isolates from over 24 state and city health departments throughout the country during a given month. Additionally, the increased use of nucleic acid amplification tests (NAATs) for NG diagnosis hinders the collection of viable organisms, which are necessary for traditional antibiotic susceptibility testing. To address the need of enhanced susceptibility surveillance in the era of NAATs and resistant strains, molecular approaches to rapidly identify genetic resistance determinants have been previously developed and are widely accepted as suitable alternatives for determination of antimicrobial susceptibility.8,9,10 Furthermore, the use of genotypic assays to predict susceptibility is quickly gaining attention as a new tool to monitor AMR NG11 and helping to guide antimicrobial stewardship.12

Ciprofloxacin resistance in NG is mediated by single nucleotide polymorphisms (SNPs) in the GyrA and ParC genes.13 Molecular typing assays have been extensively studied and shown that the wildtype (WT) GyrA genotype, especially at codon 91, is a very sensitive and specific predictor of NG susceptibility to ciprofloxacin.14 For example, a GyrA91-PCR WT assay successfully characterized the GyrA genotype in 100% of NG isolates tested and when applied to NG NAAT-positive samples and compared with corresponding culture results, the assay had a 99.4% sensitivity for prediction of NG susceptibility to ciprofloxacin.15 Furthermore, an assay has recently been developed, which can simultaneously detect NG and its ciprofloxacin susceptibility status as a tool to increase surveillance for ciprofloxacin resistance.16 Implementation of molecular assays for detection of AMR NG could better define the epidemiology of AMR NG, guide antimicrobial treatment options, and provide alternatives to traditional susceptibility methods. In the present study, real-time PCR assays were employed to detect NG and AMR determinants directly from residual urethral swabs.

Material and Methods

Clinical Samples

A total of 522 urethral swabs were collected at the Baltimore City Health Department (Baltimore, MD) from May to September 2015. The urethral swabs were collected from men seeking testing for STIs, particularly NG. All swabs were initially tested by cultures at the clinic and classified as NG culture-positive or culture-negative. Following the completion of clinical testing, each swab was stored dry and the swabs’ eluate stored frozen at −80°C until they were analyzed by real-time PCR as described below. The first 150 urethral swabs were tested in a blinded manner for the presence of DNA and all antimicrobial resistance determinants. From the remaining 372 swabs, culture-positive swabs were selected and a matching number of culture-negative selected as controls.

DNA Extraction

Each swab was rehydrated in 500 μl of autoclaved, deionized water, vortexed for 10 seconds, and DNA was extracted from 200 μl of the sample using the automated MagNA Pure LC instrument (Roche Diagnostics, Indianapolis, IN). DNA extraction was carried out with the DNA I Blood Cells High Performance protocol according to manufacturer instructions. Positive controls (serial dilutions of NG or the Asian plasmid containing the penicillinase-producing Neisseria gonorrhoeae (PPNG) target or a plasmid with the penA mosaic target) and negative controls (NG-negative urethral swabs) were processed using the same DNA extraction protocol.

Real-Time PCR-Based Detection

Assays Description

Six real-time PCR assays – 4 of them carried out as two multiplex assays – were used in this study for the detection of NG DNA and markers associated with AMR for fluoroquinolones, penicillin and ESCs. The primer and probe sequences are shown in Table 1. The multiplex porA/opa real-time PCR assay was used to detect the presence of NG DNA.17,18 Previously validated assays targeting the GyrA and ParC genes were used in a multiplex format to detect mutations in the Quinolone Resistance-Determining Region (QRDR) region of NG, which are associated with decreased susceptibility to fluoroquinolones.13,19 This assay exclusively detects the wildtype QRDR of the gyrA and parC genes. When mutation(s) are present in the QRDR, the TaqMan probe does not recognize the target sequence, resulting in negative PCR results.19 An assay targeting a sequence predicted to be conserved across all NG plasmid types harboring the beta-lactamase gene was used to detect PPNG.20 This assay has been shown to be very sensitive (100%) and specific (98.7%) in comparison to bacterial cultures for detection of PPNG in clinical specimens.20

Table 1.

Primer and probe sequences for the real-time PCR-based detection of Neisseria gonorrhoeae and antimicrobial resistance determinants.

Assay/target Primers and probes Probe sequence 5′ – 3′
*PorA1, * pap-F CAGCATTCAATTTGTTCCGAGTC
pap-R GAACTGGTTTCATCTGATTACTTTCCA
pap-TM FAM-CGCCTATACGCCTGCTACTTTCACGC-BHQ1
*Opa2, * NGopa-F TTGAAACACCGCCCGGAA
NGopa-R TTTCGGCTCCTTATTCGGTTTAA
NGopa TET-CCGATATAATCCGTCCTTCAACATCAG-BHQ1
GyrA3. & GyrA-F TTGCGCCATACGGACGAT
GyrA-R GCGACGTCATCGGTAAATACCA
GyrA91–95 FAM-TGTCGTAAACTGCGGAA-BHQ-1
ParC3, & ParC-F TGAGCCATGCGCACCAT
ParC-R GGCGAGATTTTGGGTAAATACCA
ParC86–88 TET-CGGAACTGTCGCCGT-BHQ-1
PPNG4 PPNG-F AGCTGTTCGTTTTTTACTACCAATCA
PPNG-R TGATTTAGTCGTTGAGGTTGAACAA
PPNG-TM TET-AATTTAAAGAGTGAATAGTACGCCCACGCTTGA-BHQ1
PBP-25 NG89-F GTTGGATGCCCGTACTGGG
NG89-R ACCGATTTTGTAAGGCAGGG
NG89-TM FAM-CGGCAAAGTGGATGCAACCGA-BHQ-1

TM = TaqMan; FAM = Carboxyfluorescein; TET =Tetrachlorofluorescein, IBHQ-1 = Iowa Black Hole Quencher-1; PBP-2 = penicillin-binding protein 2.

1

Assay adapted from Whiley and Sloots 2005.17

2

Assay adapted from Tabrizi et al, 2005.18

3

Assay adapted from Giles et al, 2004.19

4

Assay adapted from Goire et al, 2011.20

5

Assay adapted from Ochiai et al, 2008.21

*

The porA and opa assays were carried out as a multiplex assay.

&

The gyrA and parC assays were carried out as a multiplex assay.

Lastly, the Penicillin-binding protein 2 (PBP-2) assay21 targeted the mosaic structure of the NG penA gene, which encodes PBP-2 and has been shown to be associated with decreased susceptibility to cephalosporins.22

Real-Time PCR

Following the extraction of DNA, samples were tested for the presence of NG DNA with the porA/opa assay, and if identified as NG positive by PCR, tested for AMR determinants using the primers and probes described in Table 1. Briefly, PCRs were performed in 96-well plates in a total volume of 50 μl, utilizing 40 μl of PCR master mix and 10 μl of sample. PCR master mix contained 25 μl of 2X TaqMan universal PCR mix (PE Applied Biosystems, Foster City, CA), 1 μl each of 10 μM of the forward primer, the reverse primer, and the TaqMan probe, 2 μl of MgCl2 and water to a final volume of 40 μl. The PCR conditions and cycling parameters for each assay have been previously described.1721 Control samples were included in each run. All samples were tested in duplicate. Samples were considered to be positive for NG if either assay (porA or opa) had an amplification profile with Ct value <37. NG positive samples were further analyzed by real-time PCR for resistance markers associated with fluoroquinolones (gyrA/parC), penicillin (PPNG), and extended-spectrum cephalosporins (PBP-2). In order to evaluate the analytical performance of these assays with residual clinical samples, the first 150 swabs were analyzed in a blinded manner. Additionally, 47 NG-negative swabs (identified by culture and real-time PCR) were also analyzed with the gyrA/parC, PPNG, and PBP-2 assays. The testing of the NG-negative samples was carried out to determine the analytical specificity of the assays.

Results

Of the 522 urethral swabs collected, 210 swabs were analyzed by the real-time PCR assays. The remainder swabs (n = 312) were not analyzed by PCR because they were culture NG-negative. A total of 101 swabs were positive for NG by culture, but NG DNA was only detected in 68 (67.3%) of the swabs by PCR (Table 2A). The high number of samples (33 out of 101) with false-negative PCR results was likely due to the low concentration of NG cells/DNA in these samples resulting from previous use in routine clinical analysis, or to DNA degradation due to the storage of the swabs under different conditions (dry, frozen) prior to analysis. The majority (99%) of culture-positive swabs were collected from symptomatic men. In regards to the NG culture-negative swabs, 104/109 (95.4%), were also identified as NG-negative by PCR (Table 2A). The five NG culture-negative/PCR-positive swabs were found to have NG wildtype GyrA and ParC sequences indicative of the presence of NG DNA in these samples. Despite the high number of culture-positive/PCR-negative samples, 91.2% (62/68) of the samples that were identified by PCR as NG positive had usable DNA and were further tested for AMR markers (Table 2B). Six samples were excluded from further analysis because they had porA/opa Ct values > 37, which suggested low NG DNA load.

Table 2. (A) Real-time PCR-based detection of gonorrhea in comparison to culture. (B) Detection of genetic markers associated with antimicrobial resistance in N. gonorrhoeae by real-time PCR.

Urethral swabs were first tested for the presence of gonorrheal DNA with the porA/opa multiplex assay. Gonorrhea-positive swabs were further analyzed for genetic markers associated with antimicrobial resistance by PCR. NT = not tested.

A Culture (+) Culture (−)
PCR (+) PCR (−) PCR (+) PCR (−)
Number of swabs tested for gonorrhea (n = 210) 68 33 5 104
B
Number of samples analyzed for resistance determinants 62 0 5 47
GyrA or ParC mutants 15 NT 0 0
GyrA mutants 8
ParC mutants only 0
GyrA and ParC mutants 7
PPNG 1
PBP-2 0

None of the 47 NG culture-negative swabs tested positive with any of the AMR (gyrA/parC, PPNG, and PBP-2) assays (Table 2B). Regarding the detection of genetic markers associated with AMR, QRDR mutated sequences were detected in 22.4% (15/67) of the PCR NG-positive swabs - 53.3% (8/15) had only mutated gyrA sequences, while 46.7% (7/15) of the samples had mutated sequences in both genes (Table 2B). Unexpectedly, the prevalence of PPNG was very low as only one sample tested positive (Table 2B). Lastly, the penA mosaic associated with decreased susceptibility to cephalosporins was not detected in any of the samples analyzed in this study (Table 2B).

Discussion

In the present study, residual urethral swabs were used to determine the feasibility of detecting genetic markers associated with AMR in NG directly from clinical specimens. Due to the widespread use of NAATs for detection of NG, the use of antimicrobial susceptibility testing for surveillance purposes has significantly decreased in the last decade, thus requiring the development and implementation of molecular approaches for characterization of AMR NG. The data presented here supports previous studies that residual or residual clinical samples can be used for performing AMR genotyping using molecular approaches.810,23

Our study found a high rate (22.4%) of samples with mutations in the GyrA and/or ParC gene, which are commonly associated with resistance to fluoroquinolones.3,13,19

Considering that genotypic prediction of ciprofloxacin susceptibility directly from clinical specimens using PCR is comparable with traditional susceptibility approaches,24,25 molecular detection of QRDR mutations, such as the approach described here, can be used as an alternative tool for QRNG surveillance.14 Using a single assay, we found a very low number of PPNG strains in this population. However, mutations in other genes, such PenA, mtr, PenB, which were not analyzed in the current study, may contribute to chromosomally-mediated penicillin resistance.3 Further analysis is warranted to determine if chromosomally mediated resistance to penicillin is present in this cohort of samples. In regards to resistance to ESCs, we found no strains harboring the penA mosaic marker associated with decreased susceptibility to ESCs. This finding is consistent with previous reports that cephalosporins-resistant NG strains in Baltimore City are rare.26

Our study has several limitations. First, residual urethral swabs were used in this study, which prevented the recovery of sufficient NG DNA from a large number of samples. Additional studies utilizing prospectively collected samples from both males and females should be carried out to provide a more accurate estimate of AMR NG in Baltimore City. The penA mosaic assay may not be able to detect all of the penA alleles which have now been described.3 Additionally, isolates with decreased susceptibility to ceftriaxone due to combined effects of mutations in multiple genes could not be identified using this assay.27 Susceptibility data for the samples tested was not available; however, as previously noted, genotyping prediction of NG ciprofloxacin susceptibility is highly accurate.24,25 Genotyping studies with extra-genital samples are warranted. Ideally, our study should be replicated with urine NAAT specimens since they are the most common type of NAAT testing for men.

Although fluoroquinolones are no longer recommended by the CDC for the treatment of NG,28 the data reported here and in other studies14,25,29 suggests that a large percentage of NG infections in the US could be potentially treated with fluoroquinolones. However, this approach will require the rapid identification of fluoroquinolone-sensitive cases prior to antimicrobial treatment using a molecular approach. A recent report indicated that the implementation of a genotypic assay could promote targeted ciprofloxacin therapy12 but this approach can take days to obtain a result. Faster molecular approaches at the point-of-care (POC) are needed which can simultaneously identify NG infections and predict susceptibility to guide antimicrobial stewardship.16 The ideal method for AMR testing in NG would be to develop a rapid, phenotypic assay that would directly determine the AMR profile of the NG organism present in a given sample. However, because that technology does not yet exist, and given the decreasing number of clinical isolates available for culture due to the increase in NAAT testing for NG infections, molecular methods represent the best intermediary step until a rapid, phenotypic assay is developed. The implementation of a rapid (1–2 hours) detection and genotypic assay should prove useful in enhancing empirical treatment, preventing the over-use of cephalosporins, and helping to prevent the spread of AMR NG.

Short Summary.

Residual urethral samples can be used for the molecular detection of markers associated with antimicrobial resistance in Neisseria gonorrhoeae.

Acknowledgments

Funding: This work was funded by the National Institutes of Health: U54EB007958, U01-068613, and T32GM066706.

Footnotes

Conflict of interest: The authors have no conflict of interest

References

  • 1.Newman L, Rowley J, Vander Hoorn S, et al. Global Estimates of the Prevalence and Incidence of Four Curable Sexually Transmitted Infections in 2012 Based on Systematic Review and Global Reporting. PLoS One. 2015;10(12):e0143304. doi: 10.1371/journal.pone.0143304. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Centers for Disease Control and Prevention. Sexually Transmitted Disease Surveillance 2015. Atlanta: U.S. Department of Health and Human Services; 2016. Available at https://www.cdc.gov/std/stats. [Google Scholar]
  • 3.Unemo M, Shafer WM. Antibiotic resistance in Neisseria gonorrhoeae: origin, evolution, and lessons learned for the future. Ann N Y Acad Sci. 2011;1230:E19–28. doi: 10.1111/j.1749-6632.2011.06215.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Bolan GA, Sparling FP, Wasserheit JN. The emerging threat of untreatable gonococcal infection. N Engl J Med. 2012;366:485–487. doi: 10.1056/NEJMp1112456. [DOI] [PubMed] [Google Scholar]
  • 5.Unemo M, Del Rio C, Shafer WM. Antimicrobial Resistance Expressed by Neisseria gonorrhoeae: A Major Global Public Health Problem in the 21st Century. Microbiol Spectr. 2016;4:1–10. doi: 10.1128/microbiolspec.EI10-0009-2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Unemo M, Jensen JS. Antimicrobial-resistant sexually transmitted infections: gonorrhoea and Mycoplasma genitalium. Nat Rev Urol. 2017;14:139–152. doi: 10.1038/nrurol.2016.268. [DOI] [PubMed] [Google Scholar]
  • 7.Schwarcz S, Zenilman J, Schnell D, et al. National surveillance of antimicrobial resistance in Neisseria gonorrhoeae. JAMA. 1990;264:1413–1417. [PubMed] [Google Scholar]
  • 8.Peterson SW, Martin I, Demczuk W, et al. Molecular Assay for Detection of Genetic Markers Associated with Decreased Susceptibility to Cephalosporins in Neisseria gonorrhoeae. J Clin Microbiol. 2015;53:2042–2048. doi: 10.1128/JCM.00493-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Peterson SW, Martin I, Demczuk W, et al. Molecular Assay for Detection of Ciprofloxacin Resistance in Neisseria gonorrhoeae Isolates from Cultures and Clinical Nucleic Acid Amplification Test Specimens. J Clin Microbiol. 2015;53:3606–3608. doi: 10.1128/JCM.01632-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Hemarajata P, Yang S, Soge OO, et al. Performance and Verification of a Real-Time PCR Assay Targeting the gyrA Gene for Prediction of Ciprofloxacin Resistance in Neisseria gonorrhoeae. J Clin Microbiol. 2016;54:805–808. doi: 10.1128/JCM.03032-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Bhatti AA, Allan-Blitz LT, Castrejon M, et al. Epidemiology of Neisseria gonorrhoeae Gyrase A Genotype, Los Angeles, California, USA. Emerg Infect Dis. 2017;23:1581–1584. doi: 10.3201/eid2309.170215. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Allan-Blitz LT, Humphries RM, Hemarajata P, et al. Implementation of a Rapid Genotypic Assay to Promote Targeted Ciprofloxacin Therapy of Neisseria gonorrhoeae in a Large Health System. Clin Infect Dis. 2017;64:1268–70. doi: 10.1093/cid/ciw864. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Belland RJ, Morrison SG, Ison C, et al. Neisseria gonorrhoeae acquires mutations in analogous regions of gyrA and parC in fluoroquinolone-resistant isolates. Mol Microbiol. 1994;14:371–80. doi: 10.1111/j.1365-2958.1994.tb01297.x. [DOI] [PubMed] [Google Scholar]
  • 14.Allan-Blitz LT, Wang X, Klausner JD. Wild-Type Gyrase A Genotype of Neisseria gonorrhoeae Predicts In Vitro Susceptibility to Ciprofloxacin: A Systematic Review of the Literature and Meta-Analysis. Sex Transm Dis. 2017;44:261–265. doi: 10.1097/OLQ.0000000000000591. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Buckley C, Trembizki E, Donovan B, et al. A real-time PCR assay for direct characterization of the Neisseria gonorrhoeae GyrA 91 locus associated with ciprofloxacin susceptibility. J Antimicrob Chemother. 2016;71:353–356. doi: 10.1093/jac/dkv366. [DOI] [PubMed] [Google Scholar]
  • 16.Perera SR, Khan NH, Martin I, et al. A Multiplex RT-PCR Assay for the Simultaneous Identification of Neisseria gonorrhoeae and Its Ciprofloxacin Susceptibility Status. J Clin Microbiol. 2017 doi: 10.1128/JCM.00855-17. (in Press) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Whiley DM, Sloots TP. Comparison of three in-house multiplex PCR assays for the detection of Neisseria gonorrhoeae and Chlamydia trachomatis using real-time and conventional detection methodologies. Pathology. 2005;3:364–370. doi: 10.1080/00313020500254552. [DOI] [PubMed] [Google Scholar]
  • 18.Tabrizi SN, Chen S, Garland SM, et al. Evaluation of opa-based real-time PCR for detection of Neisseria gonorrhoeae. Sex Transm Dis. 2005;32:199–202. doi: 10.1097/01.olq.0000154495.24519.bf. [DOI] [PubMed] [Google Scholar]
  • 19.Giles J, Hardick J, Yuenger J, et al. Use of applied biosystems 7900HT sequence detection system and TaqMan assay for detection of quinolone-resistant Neisseria gonorrhoeae. J Clin Microbiol. 2004;42:3281–3283. doi: 10.1128/JCM.42.7.3281-3283.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Goire N, Freeman K, Tapsall JW, et al. Enhancing gonococcal antimicrobial resistance surveillance: a real-time PCR assay for detection of penicillinase-producing Neisseria gonorrhoeae by use of noncultured clinical samples. J Clin Microbiol. 2011;49:513–518. doi: 10.1128/JCM.02024-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Ochiai S, Ishiko H, Yasuda M, et al. Rapid detection of the mosaic structure of the Neisseria gonorrhoeae penA Gene, which is associated with decreased susceptibilities to oral cephalosporins. J Clin Microbiol. 2008;46:1804–1810. doi: 10.1128/JCM.01800-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Gose S, Nguyen D, Lowenberg D, Samuel M, Bauer H, Pandori M. Neisseria gonorrhoeae and extended-spectrum cephalosporins in California: surveillance and molecular detection of mosaic penA. BMC Infect Dis. 2013;4:570–579. doi: 10.1186/1471-2334-13-570. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Nicol M, Whiley D, Nulsen M, et al. Direct detection of markers associated with Neisseria gonorrhoeae antimicrobial resistance in New Zealand using residual DNA from the Cobas 4800 CT/NG NAAT assay. Sex Transm Infect. 2015;91:91–93. doi: 10.1136/sextrans-2014-051632. [DOI] [PubMed] [Google Scholar]
  • 24.Siedner MJ, Pandori M, Castro L, et al. Real-time PCR assay for detection of quinolone-resistant Neisseria gonorrhoeae in urine samples. J Clin Microbiol. 2007;45:1250–4. doi: 10.1128/JCM.01909-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Pond MJ, Hall CL, Miari VF, et al. Accurate detection of Neisseria gonorrhoeae ciprofloxacin susceptibility directly from genital and extragenital clinical samples: towards genotype-guided antimicrobial therapy. J Antimicrob Chemother. 2016;71:897–902. doi: 10.1093/jac/dkv432. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Kirkcaldy RD, Hook EW, 3rd, Soge OO, et al. Trends in Neisseria gonorrhoeae Susceptibility to Cephalosporins in the United States, 2006–2014. JAMA. 2015;314:1869–71. doi: 10.1001/jama.2015.10347. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Abrams AJ, Kirkcaldy RD, Pettus K, et al. A Case of Decreased Susceptibility to Ceftriaxone in Neisseria gonorrhoeae in the Absence of a Mosaic Penicillin-Binding Protein 2 (penA) Allele. Sex Transm Dis. 2017;44:492–494. doi: 10.1097/OLQ.0000000000000645. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Centers for Disease Control and Prevention. Update to CDC’s sexually transmitted diseases treatment guidelines, 2006: fluoroquinolones no longer recommended for treatment of gonococcal infections. MMWR Morb Mortal Wkly Rep. 2007;56:332–336. [PubMed] [Google Scholar]
  • 29.Kirkcaldy RD, Harvey A, Papp JR, et al. Neisseria gonorrhoeae Antimicrobial Susceptibility Surveillance - The Gonococcal Isolate Surveillance Project, 27 Sites, United States, 2014. MMWR Surveill Summ. 2016;65:1–19. doi: 10.15585/mmwr.ss6507a1. [DOI] [PubMed] [Google Scholar]

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