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. 2022 Mar 10;17(3):e0264149. doi: 10.1371/journal.pone.0264149

Characterization of a Neisseria gonorrhoeae Ciprofloxacin panel for an antimicrobial resistant Isolate Bank

Hsi Liu 1,*, Kevin Tang 2, Cau D Pham 1, Matthew Schmerer 1, Ellen N Kersh 1, Brian H Raphael 1
Editor: Yung-Fu Chang3
PMCID: PMC8912267  PMID: 35271599

Abstract

Objectives

Neisseria gonorrhoeae (gonococcus) infection is one of the most commonly reported nationally notifiable conditions in the United States. Gonococcus has developed antimicrobial resistance to each previously used antibiotic for gonorrhea therapy. However, some isolates may be still susceptible to no longer recommended, yet still effective antibiotics. This in turn suggests that targeted therapy could slow resistance development to currently recommended empirical treatments. We curated a gonococcal Ciprofloxacin Antibiotic Resistance Isolate Bank panel (Cipro-panel) as a tool for validating or developing new tests to determine ciprofloxacin susceptibility.

Method

The Cipro-panel was selected using whole genome sequencing, bioinformatic tools, and antimicrobial susceptibility testing (AST) data. Isolates were further selected based on nucleotide variations in gyrA and parC genes.

Results

We selected 14 unique N. gonorrhoeae isolates from the 2006–2012 Gonococcal Isolate Surveillance Project (GISP) collection. They represented a wide range of antimicrobial susceptibility to ciprofloxacin and commonly observed nucleotide variations of gyrA and parC genes. This Cipro-panel consists of 5 isolates with resistant phenotypes (MIC > = 1 μg/mL), 8 isolates with susceptible phenotypes (MIC < = 0.06 μg/mL), and 1 isolate falling in the Clinical and Laboratory Standards Institute defined intermediate range. Among the gyrA variations we observed a total of 18 SNPs. Four positions had nonsynonymous changes (nucleotide positions 272, 284, 1093, and 1783). The first two positions (272 and 284) have been linked previously with resistance to ciprofloxacin (i.e. amino acid positions 91 and 95). For the parC gene, we observed a total of 21 possible SNPs. Eight of those SNPs resulted in non-synonymous amino acid changes. One location (amino acid 87) has been previously reported to be associated with ciprofloxacin resistance.

Conclusions

This Cipro-Panel is useful for researchers interested in developing clinical tests related to ciprofloxacin. It could also provide additional choices for validation, quality assurance purposes and improve antibiotic usage.

Introduction

Neisseria gonorrhoeae (gonococcus) is the causative agent of gonorrhea, one of the nationally notifiable conditions in the United States and one of the most commonly reported Sexually Transmitted Diseases in the world [1, 2]. Neisseria gonorrhoeae is an exclusive human pathogen and is well-adapted to the genital system of the human. However, it can cause infections in both male and female reproductive systems, the pharynx, the rectum, and other anatomical sites (e.g. joints) as a disseminated infection. The organism is genetically versatile in its ability to develop drug resistance, thus development of resistance to antimicrobial agents by the gonococcus is a major public health concern. In the past, while retaining previously acquired antimicrobial resistance, N. gonorrhoeae developed resistance toward all first-line drugs used in the standard treatment. These drugs include commonly used antibiotics such as penicillin, tetracycline, macrolides, and fluoroquinolones such as ciprofloxacin [37]. Because of the gradual increase in proportion of isolates with higher minimum inhibitory concentrations (MIC) toward the current first line class of drug, cephalosporins, in 2012 CDC recommended use of dual-antibiotic therapy consisting of an injectable cephalosporin (ceftriaxone) and one oral dose of a macrolide (azithromycin) as the regimen to treat uncomplicated gonococcal infections [2, 4]. At the end of 2020, Centers for Disease Control and Prevention’s (CDC) new treatment guidelines removed azithromycin from its recommendations partly because the percentage of N. gonorrhoeae isolated with reduced susceptibility to azithromycin (MIC ≥2.0 μg/mL) increased more than sevenfold over 5 years (from 0.6% in 2013 to 4.6% in 2018). Ceftriaxone is now recommended as a monotherapy for non-complicated gonorrhea [5].

The fluoroquinolone class antibiotic ciprofloxacin was recommended by CDC’s treatment guideline as the first-line treatment option for gonorrhea from 1996 to 2006. Despite the fact that some states in the United States such as Hawaii and California have discontinued the use of ciprofloxacin for gonorrhea treatment, however, not until 2007 ciprofloxacin was discontinued recommended by CDC as the first option for treating non-complicated gonorrhea [3, 4]. The principle for this decision was based on a recommendation by the WHO that when the microbial resistance rate toward an antibiotic reaches 5% in the population, the drug may be removed from use [811]. Fluoroquinolones exert their activity by inhibiting the replication of gonococci through interference of the binding of DNA gyrase and topoisomerase. Drug resistance toward ciprofloxacin thus developed through mutations in DNA gyrase (GyrA) and topoisomerase IV subunits (ParC) [6, 7, 12].

In response to the concerns of increasing antibiotic resistant isolates, CDC published a threat report ranking drug resistant N. gonorrhoeae as “Urgent Threat” [9]. An important effort is to develop tools that can enhance the detection of antibiotic resistance in gonorrhea locally, nationally, and internationally. To this end, a N. gonorrhoeae Ciprofloxacin Antibiotic Resistance Isolate Bank panel (Cipro-panel) was curated and made available through the CDC & FDA AR Isolate Bank (AR Bank) [13]. In this panel, isolates were whole genome sequenced, characterized, and susceptibility to ciprofloxacin was documented. We hope this panel can help developing advanced point of care tests to quickly identify infections that are still susceptible to ciprofloxacin.

Methods

Bacteria strains

N. gonorrhoeae isolates were propagated on GC base medium with 1% IsoVitalex and 5% FBS (SRP, Scientific Resources Program, CDC) at 36±1°C supplemented with 5% CO2 for 20 to 24 hours. A 300–500 ul culture in trypticase soy broth (TSB) containing 20% glycerol (SRP, CDC) was kept at -70°C. Isolates included in this Cipro-panel were characterized using standard microbiological methods. Species identification was confirmed using the AP-NHI strips (Analytical Profile Index for Neisseria and Haemophilus; bioMerieux, France). The species identification of each isolate was further verified using matrix-assisted laser desorption-ionization time of flight mass spectrometry (MALDI-TOF) following manufacturer’s recommendation (Bruker Microflex Biotyper, Billerica, MA) [14].

Antimicrobial susceptibility testing (AST)

The ciprofloxacin agar dilution method was performed according to the Clinical and Laboratory Standards Institute (CLSI) M07 protocol [15, 16] and following the Clinical Laboratory Improvement Amendments (CLIA) regulations. The Etest method was used as additional verification and performed as previously described [17]. The breakpoints and determination of susceptibility (S), intermediate range (I), and resistance (R) were based on CLSI criteria M100 [16]. In brief, the agar dilution and Etest methods were prepared by suspending colonies of N. gonorrhoeae from an overnight Chocolate II agar plate (SRP, CDC) into Mueller-Hinton broth (Difco Laboratories, Fisher Scientific, MI) and adjusted to an optical density equal to that of a 0.5 McFarland standard. The cultures were applied to plates of specific antibiotic concentrations (agar dilution) or streaked to a plate and appropriate antibiotic strips (bioMerieux, France) were applied (Etest). The plates were incubated at 36±1°C in 5% CO2 for 20–24 hours. The minimum inhibitory concentrations (MICs) were interpreted by reading growth inhibition (agar dilution) or the intercept of the inhibition zone around the strip (Etest). The agar dilution MIC values were reported and Etest was used for verification purpose.

Whole-genome sequencing and analyses

DNA was extracted using the Promega Genomic DNA Purification Kit (Promega, Madison, WI) and whole-genome sequencing was performed using a standard protocol [18, 19]. Specifically, libraries were prepared using the NEB Genome Library Preparation Kit (New England Biolab, MA) and sequenced as paired-end 2x250 bp reads using the Illumina MiSeq platform (Illumina, CA). Preprocessing assessed the read quality with Trim_Galore (v 0.3.7) which contains FastQC and Cutadapt [20] to perform quality assessment, remove duplicate reads and trimming of reads. The quality of the genome was evaluated using QUAST (v 4.3) and assembled using SPAdes (v 3.9.0) [21, 22]. Finally, annotation was completed using NCBI’s Prokaryotic Genome Annotation Pipeline [23, 24]. Reads were mapped to the FA1090 reference sequence (GenBank accession number NC002946). SAMtools was used to convert the alignments and using GATK IndelRealigner command. Pilon was further used to call the variants and raw variants were filtered by using snpSift with depth > = 20 and genotype quality score > = 200. Additionally, gyrA and parC sequences were aligned and compared using the CLC Genomics Workbench software (Version 11.3, Qiagen) and Geneious Prime (V12, Qiagen). The assembly metrics and quality control data for WGS results are shown in Table 1.

Table 1. Genome sequencing metrics for isolates in the Cipro panel.

Cipro Panel ID AR Bank ID NCBI SRA Accession (raw reads) Genome Assembly Accession Number Total_ reads Read_ length (bp) No_ contigs GC_ content (%) N50 (bp) Assembled_ genome_ length (bp) Isolate_coverage (x)
1 963 SRR8833284 SUQT00000000 1231842 251 85 52.51 67319 2161799 140.541974
2 964 SRR8833283 SUQW00000000 1659350 251 74 52.42 68575 2167268 189.31675
3 965 SRR8833297 SUQX00000000 1865032 251 120 52.54 75579 2187389 212.783196
4 966 SRR13058147 SUQY00000000 1243062 251 81 52.62 65729 2103800 141.822074
5 967 SRR8833292 SUQZ00000000 1256404 251 102 52.53 72659 2169573 143.344275
6 968 SRR8833294 SURA00000000 1422260 251 75 52.32 84733 2220872 162.266936
7 969 SRR8833282 SURC00000000 1535756 251 133 52.51 72330 2239672 175.215798
8 970 SRR8833288 SURE00000000 1432304 251 74 52.64 57643 2104215 163.412865
9 971 SRR8833289 SURG00000000 981884 251 83 52.34 68047 2199798 112.024038
10 972 SRR13058146 SURH00000000 977638 251 74 52.4 76548 2171544 111.539608
11 973 SRR8833290 SURI00000000 1593064 251 89 52.32 59588 2197787 181.75412
12 974 SRR8833291 SURJ00000000 1265524 251 71 52.41 71271 2157111 144.384784
13 975 SRR8992476 VAHK00000000 986758 251 87 52.4 57773 2165232 112.580117
14 976 SRR8992477 VAHL00000000 1319478 251 74 52.43 86811 2171852 150.540445

Results

Selection criteria

Two hundred fifty newly sequenced N. gonorrhoeae isolates from the United States’ Gonococcal Isolate Surveillance Project (GISP; [25, 26]) collected from year 1999 to 2012 and archived at the CDC were used to select this panel. Based on the unique gyrA and parC sequence variations together with their ciprofloxacin susceptibility profile, 14 unique isolates were selected and included in this Ciprofloxacin Antibiotic Resistance Isolate Bank panel (Cipro-panel). The isolates included in this Cipro- panel are numbered from 1 to 14 with corresponding AR Bank numbers 963–976. Their MIC values and the accession numbers of the whole genome sequencing results are available online (Table 1) [13].

Genotype characterizations

We observed two well-described mutations in gyrA at positions 272 and 284, which caused non-synonymous changes corresponding to amino acid 91 and 95, respectively. We also observed additional mutations at 12 nucleotide positions (Table 2). They are at nucleotide positions, 276, 279, 666, 744, 882, 927, 1032, 1094, 1110, 1722, 1783, and 2433. Among these, positions 1094 and 1783 resulted in amino acid changes. They are arginine to histidine at position 365 (R365H) of panel number 8, and alanine to threonine at position 595 (A595T) of panel number 5. There were no known functional changes associated with these additional amino acid mutations.

Table 2. Observed gyrA mutations.

Bank No Amino Acid mutation Location of Nucleotide Mutation
Cipro Panel ID AR Bank ID CIP MIC (μg/ml) gyrA aa91 gyrA aa95 parC aa87 TCC 272 GCA 276 GTT 279 GAC 284 GCC 666 GTT 744 ACA 882 GGT 927 GTG 1032 CGC 1094 GTC 1110 GGC 1722 GCC 1783 CCG 2433
1 963 0.5 F G S TTC GCA GTT GGC GCC GTT ACA GGT GTT CGC GTC GGC GCC CCG
2 964 32 F G R TTC GCA GTT GGC GCC GTC ACA GGT GTG CGC GTG GGC GCC CCG
3 965 0.004 S D S TCC GCA GTT GAC GCC GTC ACG GGG GTT CGC GTC GGC GCC CCG
4 966 0.008 S D S TCC GCA GTT GAC GCC GTC ACG GGG GTT CGC GTC GGC GCC CCA
5 967 0.008 S D S TCC GCA GTT GAC GCC GTC ACG GGG GTT CGC GTC GGC ACC CCG
6 968 0.004 S D S TCC GCA GTT GAC GCA GTT ACA GGT GTG CGC GTC GGC GCC CCG
7 969 0.004 S D S TCC GCC GTA GAC GCC GTT ACG GGG GTT CGC GTC GGC GCC CCG
8 970 0.004 S D S TCC GCA GTT GAC GCC GTT ACG GGG GTT CAC GTC GGC GCC CCG
9 971 8 F A S TTC GCA GTT GCC GCC GTT ACA GGT GTG CGC GTC GGC GCC CCG
10 972 0.008 S D S TCC GCA GTT GAC GCC GTT ACA GGT GTG CGC GTC GGT GCC CCG
11 973 0.004 S D S TCC GCA GTT GAC GCC GTT ACA GGT GTG CGC GTC GGC GCC CCG
12 974 32 F G R TTC GCA GTT GGC GCC GTC ACG GGG GTT CGC GTC GGC GCC CCG
13 975 32 F G R TTC GCA GTT GGC GCC GTC ACA GGT GTG CGC GTC GGC GCC CCG
14 976 32 F G R TTC GCA GTT GGC GCC GTC ACA GGT GTG CGC GTC GGC GCC CCG

The parC gene has mutations in 19 nucleotide locations (Table 3) which include the commonly recognized AGT to CGT at position 259 (S87R). Several non-synonymous amino acid changes resulting from nucleotide changes other than position 259 were also recognized. They are at positions 1150 (I384V), 1304/5 (V436A), 1375 (G459S), 1435 (L479F), 1789(V596I), and 1912 (M637I). There were no known functional changes associated with these additional amino acid mutations.

Table 3. Observed parC mutations.

Bank No Amino Acid mutation Location of Nucleotide Mutation
Cip Panel ID AR Bank ID CIP MIC (μg/ml) gyrA aa91 gyrA aa95 parC aa87 AGT 259 TAC 312 GCG 387 CTC 393 CTG 414 AAT 819 GGC 876 AAG 879 CTT 903 CCG 990 ATC 1150 GTG 1304/05 CAG 1326 TTG 1360 GGT 1375 AAT 1431 CTT 1435 GTT 1789 ATG 1912
1 963 0.5 F G S AGT TAT GCG CTC CTG AAT GGC AAG CTT CCG ATC GTG CAG TTG GGT AAT TTT GTT ATG
2 964 32 F G R CGT TAC GCG CTG CTG AAT GGC AAG CTT CCC GTC GCA CAG CTG GGT AAC CTT GTT ATG
3 965 0.004 S D S AGT TAC GCG CTG CTG AAT GGT AAA CTC CCC GTC GTG CAA CTG GGT AAC CTT GTT ATG
4 966 0.008 S D S AGT TAC GCG CTG CTG AAT GGT AAA CTC CCC GTC GTG CAA CTG GGT AAC CTT GTT ATG
5 967 0.008 S D S AGT TAT GCG CTG CTA AAC GGC AAG CTT CCG GTC GTG CAA CTG GGT AAT TTT ATT ATG
6 968 0.004 S D S AGT TAT GCG CTG CTG AAT GGT AAA CTC CCG GTC GTG CAG TTG AGT AAT TTT ATT ATG
7 969 0.004 S D S AGT TAT GCG CTC CTG AAC GGC AAG CTT CCG ATC GCA CAG CTG GGT AAT TTT ATT ATG
8 970 0.004 S D S AGT TAT GCG CTG CTA AAT GGC AAG CTT CCG ATC GCA CAG CTG GGT AAC CTT GTT ATA
9 971 8 F A S AGT TAT GCA CTG CTA AAT GGT AAA CTC CCG GTC GTG CAA CTG GGT AAAT TTT I/ATT ATG
10 972 0.008 S D S AGT TAT GCG CTC CTG AAT GGC AAG CTT CCG /ATC GTG CAG TTG GGT AAT TTT GTT ATG
11 973 0.004 S D S AGT TAT GCG CTG CTA AAT GGC AAG CTT CCG ATC GCA CAG CTG GGT AAC CTT GTT ATG
12 974 32 F G R CGT TAC GCG CTG CTG AAT GGT AAA CTC CCC GTC GTG CAA CTG GGT AAC CTT GTT ATG
13 975 32 F G R CGT TAC GCG CTG CTG AAT GGC AAG CTT CCC GTC GCA CAG CTG GGT AAC CTT GTT ATG
14 976 32 F G R CGT TAC GCA CTG CTG AAT GGC AAG CTT CCC GTC GCA CAG CTG GGT AAC CTT GTT ATG

Phenotypic characterizations and antibiotic susceptibility

Traditionally the GyrA amino acid positions S91 and D95 are considered wild type and representing the ciprofloxacin susceptible phenotypes. Thus, based on CLSI AST ciprofloxacin testing criteria (M100; 17), 8 isolates have the susceptible phenotype (MIC< = 0.06 μg/mL; wild-type S91/D95: panel numbers 3, 4, 5, 6, 7, 8, 10, 11); 5 isolates have a resistant phenotype (MIC > = 1 μg/mL; panel numbers 2, 12, 13, 14, F91/G95; No 9, F91/A95), and one isolate has the intermediate phenotype (0.12 μg/mL < = MIC < = 0.5 μg/mL; panel number 1, F91/G95).

For the ParC amino acid composition, ten isolates have the ParC wild-type (S87, Table 3) and four have the mutant phenotype of R87 (No. 2, 12, 13, 14). Combined, eight isolates are wildtype for both GyrA and ParC (Nos 3, 4, 5, 6, 7, 8, 10, 11). Six isolates have a combined amino acid variation at either GyrA or ParC. Among these, number 1 has a F91/G95/S87 (here referred to as FGS) combination; numbers 2, 12, 13, and 14 have an FGR combination, and number 9 has the FAS combination.

Supplemental genetic profiles of the Cipro-panel

A more detailed genetic mutational analyses is included in Table 4a–4f) as a supplement to this collection. This table was created using CDC’s Drug-Resistant Gonorrhea Genome Profiler version 2.9.2 [CDC, accessible online: https://amdportal-sams.cdc.gov/].

Table 4. Complete genetic profile based on Gonorrhea Genome Profiler v2.9.2.

A
Cip Panel ID AR Bank ID CIP MIC PEN MIC TET MIC CRO MIC CFM MIC AZN MIC GEN MIC Beta-lactamase 23S-2611 base 23S-2059 base 23S-2059 freq 23S-2058 base 23S-2058 freq mtrR mosaic mtrR promoter
1 963 0.38 16 1 0.004 0.008 0.25 4 Positive C A 1 A 1 FALSE DEL
2 964 >32 2 2 0.015 0.03 0.25 4 Negative C A 1 A 1 FALSE DEL
3 965 0.04 1 1 0.004 0.015 0.25 4 Negative T A 1 A 1 FALSE A
4 966 0.08 0.25 1 0.004 0.008 ≥16 4 Negative C G 1 A 1 FALSE A
5 967 0.004 0.06 0.06 ≤0.001 0.004 0.125 4 Negative C A 1 A 1 FALSE A
6 968 0.004 0.25 0.5 0.002 0.008 0.125 4 Negative C A 1 A 1 FALSE A
7 969 0.004 0.25 0.25 0.004 0.008 0.125 4 Negative C A 1 A 1 FALSE A
8 970 0.004 0.5 0.5 0.008 0.03 0.06 4 Negative C A 1 A 1 FALSE A
9 971 6 1 4 0.015 0.03 0.25 2 Negative C A 1 A 1 FALSE DEL
10 972 0.004 0.25 1 0.004 0.015 2 4 Negative C A 1 A 1 FALSE C
11 973 0.002 0.5 16 0.008 0.03 0.06 4 Negative C A 1 A 1 FALSE A
12 974 >32 2 2 0.03 0.125 2 4 Negative C A 1 A 1 FALSE DEL
13 975 16 2 2 0.015 0.03 0.25 4 Negative C A 1 A 1 FALSE DEL
14 976 32 2 2 0.015 0.03 0.25 4 Negative C A 1 A 1 FALSE DEL

Discussion

Antimicrobial drug resistance is a global emergency. The rapid development of antibiotic resistance in N. gonorrhoeae has the potential to reduce the clinical utility of nearly any antibiotic used for treatment within a few years of its introduction. Since 2007, CDC has discontinued recommending ciprofloxacin as anti-gonorrhea treatment 8 years since its initial recommendation [4]. With the advancement of newer, faster rapid molecular tests, there is a potential for clinicians to choose antibiotics discontinued for gonorrhea treatment based on the presence or absence of known genetic markers. This kind of targeted treatment potentially has the advantages of allowing physicians to select common and still effective antibiotics based on testing results [2729].

Ciprofloxacin, a fluoroquinolone, is widely used to treat many bacterial infections such as pneumonia, meningitis, diarrhea, and urinary tract infections [30, 31]. This is the only class of antibiotic that directly inhibits bacterial DNA synthesis for gonorrhea treatment. It was the main choice for treating gonorrhea from 1998 to 2006 until resistance exceeded 5% and was removed from recommendations [24]. The main mutations conferring fluoroquinolone resistance are on the subunits of the DNA gyrase A, GyrA, and topoisomerase IV, ParC [33]. At the molecular level mutations conferring resistance are mainly at nucleotides C272 (amino acid S91) and A284 (amino acid D95) positions of gyrA and at the A259 (amino acid S87) location of the parC [28, 3234].

Although ciprofloxacin has not been recommended for treating gonorrhea for over 10 years, the reported rates of ciprofloxacin resistant gonococcal isolates remain elevated. In the past ten years (2009–2017), the proportion of resistant isolates among sexually transmitted diseases (STD) clinics has increased steadily but remains below 40% [3, 9, 12, 25]. This also means that about 60% of uncomplicated gonococcal infections in the US are possibly still sensitive to ciprofloxacin. Therefore, ciprofloxacin may be considered for use in patients with confirmed, susceptible gonorrhea when recommended first-line therapy is not tolerated [33, 35]. This notion is especially facilitated by the fact that the ciprofloxacin resistance mechanisms utilized by N. gonorrhoeae are well defined and there are clear targets to be selected for developing rapid molecular tests [28, 29]. To this end, to conserve the usage of current first line antibiotics and in considering re-use of previously favored first line antibiotics, ciprofloxacin is an ideal candidate.

Here we created a panel of 14 gonococcal isolates which has the utility to serve multiple purposes for the scientific community. The mutations described in this panel provide a tool for scientists to develop molecular tests or validate existing tests. For instance, this panel could serve as an internal quality control for interlaboratory studies or external quality assurance for international collaborations. Finally, the isolates in this panel represent the susceptible, intermediate, and resistant phenotypes with respect to established gonococcal ciprofloxacin AST breakpoints.

In conclusion, this ciprofloxacin isolate panel has been extensively characterized based on its ciprofloxacin AST profile and the gyrA and parC genes sequences. This panel should be useful for developing ciprofloxacin susceptibility related tests or for quality assurance purposes [27, 28]. Availability of such tests for detecting ciprofloxacin susceptibility can provide clinicians with tools to improve antibiotic stewardship, potentially reducing costs, and save first line drugs for individuals that truly need it.

Acknowledgments

We thank CDC & FDA Antibiotic Resistance Isolate Bank and GISP colleagues for their contributions to N. gonorrhoeae antimicrobial resistance surveillance. This study was supported in part by funds from the Combating Antibiotic-Resistant Bacteria (CARB) initiative at the CDC. The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the CDC.

Data Availability

All relevant data are within the paper.

Funding Statement

The authors received no specific funding for this work.

References

Associated Data

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

Data Availability Statement

All relevant data are within the paper.


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