Next Article in Journal
Multi-Host Pathogen Staphylococcus aureus—Epidemiology, Drug Resistance and Occurrence in Humans and Animals in Poland
Previous Article in Journal
Whole Genome Sequencing for Studying Helicobacter pylori Antimicrobial Resistance
Previous Article in Special Issue
Recent Evolution of Susceptibility to Beta-Lactams in Neisseria meningitidis
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Meningococcal Antibiotic Resistance: Molecular Characterization of Isolates from Patients with Invasive Meningococcal Disease (IMD) in Greece

by
Ioanna Spiliopoulou
1,2,3,
Athanasia Xirogianni
1,
Stelmos Simantirakis
1 and
Georgina Tzanakaki
1,*
1
National Meningitis Reference Laboratory, Department of Public Health Policy, School of Public Health, University of West Attica, 11521 Athens, Greece
2
ECDC Fellowship Programme, Public Health Microbiology Path (EUPHEM), European Centre for Disease Prevention and Control (ECDC), 16973 Solna, Sweden
3
National Public Health Organization (NPHO), Central Public Health Laboratory, 16672 Attica, Greece
*
Author to whom correspondence should be addressed.
Antibiotics 2023, 12(7), 1136; https://doi.org/10.3390/antibiotics12071136
Submission received: 11 April 2023 / Revised: 8 June 2023 / Accepted: 29 June 2023 / Published: 30 June 2023

Abstract

:
For effective case management and chemoprophylaxis of Invasive Meningococcal Disease (IMD), prompt antibiotic treatment is required. N. meningitidis is usually susceptible to antibiotics, but reduced susceptibility to penicillin, ciprofloxacin, and rifampicin is increasing worldwide, jeopardizing patients’ outcome. We assessed, phenotypically and genotypically, the antimicrobial resistance patterns of 192 strains isolated from IMD cases from all over Greece during 2010–2021. Antimicrobial susceptibility to penicillin, rifampicin, and ciprofloxacin was determined using the E-test. All isolates were genotyped by Multilocus Sequence Typing (MLST). penA, rpoB, and gyrA genes were amplified by PCR and sequenced. Of the 192 isolates, 37% (72/192) were penicillin-susceptible/had increased exposure, and 11% (21/192) were penicillin-resistant. Among those, 40 penA alleles were identified; penA1, penA27, and penA3 were highly associated with susceptibility to penicillin; penA14, penA25, and penA22 related to reduced susceptibility to penicillin, while penA9, penA910, and penA295 had resistance to penicillin. Two ciprofloxacin-resistant isolates harbored the gyrA346 allele, while one rifampicin-resistant isolate harbored the rpoB5 allele. Resistance to ciprofloxacin and rifampicin remains rare. As Greece is one of the countries with high antimicrobial resistance, continued monitoring of antibiotic resistance is important to ensure timely detection of emerging resistance for treatment and prevention guidelines.

1. Introduction

Invasive meningococcal disease (IMD), caused by Neisseria meningitidis, is a severe, life-threatening illness posing a major worldwide health problem as an important cause of morbidity and mortality. Meningitis, or septicaemia, are the main clinical presentations of IMD. Globally, there are approximately half a million cases of IMD each year [1], with the incidence varying across geographical regions and case fatality rates ranging from 4.1% to 20% [2]. In Europe, an average incidence rate of 0.6 cases per 100,000 people was reported [3], with the highest incidence rates observed in children <1 year old, followed by a second peak amongst adolescents and young adults [3]. Worldwide, the serogroups responsible for the majority of IMD cases are A, B, C, W, X, and Y [1,4], while, in Europe, the most prevalent serogroups are B and C. Although, in recent years, an increase in IMD due to serogroup W has been reported [3]. Multilocus sequence typing (MLST) classifies meningococcal strains into different sequence types (STs), with related STs grouped into lineages termed clonal complexes (ccs) [5].
Due to the severity of the disease, suitable and prompt patient management is of great importance with regards to the administration of antibiotics, even prior to admission to the hospital in order to improve the patient’s outcome. Suspected IMD is treated empirically with third-generation cephalosporins (cefotaxime or ceftriaxone). Upon confirmation, treatment options include cefotaxime, ceftriaxone, penicillin G, or ampicillin. On the other hand, in order to prevent secondary IMD cases, chemoprophylaxis with ciprofloxacin and rifampicin is recommended for close contacts [6].
Although N. meningitidis is still susceptible to most antibiotics used for treatment, such as penicillin and third-generation cephalosporins, the emergence and expansion of meningococcal clones resistant to these antibiotics may jeopardize the patient’s outcome. In recent years, there are increasing reports worldwide of either penicillin resistance or reduced susceptibility to penicillin [7,8,9,10,11,12,13,14], directly related to amino acid substitutions (AASs) (F504L, A510V, I515V, H541N, and I566V) in the penA gene, which encodes an altered penicillin-binding protein, PBP2, with a reduced affinity for binding penicillin [15].
Furthermore, resistance to antibiotics used for chemoprophylaxis (ciprofloxacin and rifampicin), relatively uncommon in the past, is being reported more frequently worldwide [12,13,16,17,18,19,20,21,22,23]. Resistance to ciprofloxacin is due to mutations in the quinolone resistance-determining region (QRDR) of the gyrA gene, encoding DNA gyrase subunit A. Further, enhanced levels of ciprofloxacin resistance can be also observed on mutations in the parC gene, enconding DNA topoisomerase IV, subunit A [17]. Recently, ciprofloxacin resistance was reported for the first time in Greece in a migration camp, belonging to the ST-3129 clone [20]. Further, rifampicin resistance due to alterations in the rpoB gene encoding the β subunit of RNA polymerase, although uncommon, has been reported among meningococci due to the administration of rifampicin for close contact chemoprophylaxis [21,22,23].
As Greece is among the countries reporting a high percentage of antimicrobial resistance, it is of great importance to monitor the antimicrobial susceptibility of N. meningitidis in order to provide evidence for decision-making bodies. The first report on antibiotic susceptibility of N. meningitidis isolates from patients and carriers was in early 1990s [24], followed by a recent study on epidemiology of invasive meningococcal disease in Greece during 2006 to 2016 [25], regarding the phenotypic evaluation of antimicrobial resistance patterns given for this period. However, no further information describing the antibiotic susceptibility in relation to the molecular characteristics of the strains causing meningococcal disease in Greece has been provided up to now.
The aim of this study was to identify the N. meningitidis antimicrobial resistance patterns, both phenotypically and genotypically, exhibiting either resistance or reduced susceptibility to antibiotics used for treatment (penicillin) or chemoprophylaxis (ciprofloxacin and rifampicin) in strains isolated from patients all over Greece during a 12-year period (2010–2021).

2. Results

2.1. Serogroup Distribution

Among the 192 isolates, MenB accounted for 84% (162/192)—predominant throughout the study period—followed by MenY (6%; 12/192), MenC (5%; 10/192), MenW (4%; 7/192), and MenX (1%; 1/192).

2.2. Clonal Complex Distribution

Among the 192 isolates, 71 STs were found, according to MLST analysis, and they were grouped into 17 ccs. The majority (81%; 155/192) of the isolates (all serogroups included) belonged to the following eight ccs: cc269 (21%; 41/192), cc41/44 (15%; 28/192), cc32 (14%; 27/192), cc213 (8%; 16/192), cc11 (7%; 14/192), cc162 (6%; 11/192), cc23 (5%; 10/192), and cc35 (4%; 8/192). The remaining isolates belonged to less prevalent ccs (n = 23) or were not assigned to any cc (n = 14). In particular, the majority of the MenB isolates belonged to cc269 (25%; 41/162), cc41/44 (17%; 28/162), cc32 (17%; 27/162), followed by cc213 (10%; 16/162) and cc162 (7%; 11/162). The majority of MenY isolates belonged to cc23 (83%; 10/12), MenC isolates belonged to cc11 (90%; 9/10), while MenW isolates belonged to cc11 (57%; 4/7) and cc22 (29%; 2/7). The single MenX isolate was not assigned to any cc.

2.3. Susceptibility to Antibiotics

Of the 192 tested isolates, 99 (52%) were penicillin-susceptible, standard exposure (PenS; MICs 0.006–0.064 mg/L), 72 (37%) were penicillin-susceptible, increased exposure (PenI; MICs 0.094–0.25 mg/L), and 21 (11%) were penicillin-resistant (PenR; MICs 0.38–0.75 mg/L).
Two isolates were ciprofloxacin-resistant (MIC = 0.25 mg/L), while 190 isolates were ciprofloxacin-sensitive (MICs ≤ 0.002–0.016 mg/L). The MIC50 for ciprofloxacin was 0.008 mg/L, and the MIC90 was 0.012 mg/L. The two ciprofloxacin-resistant isolates were also resistant to penicillin (MIC = 0.5 mg/L).
One isolate was rifampicin-resistant (MIC = 0.38 mg/L), while 191 isolates were rifampicin-sensitive (MICs = 0.003–0.25 mg/L). The MIC50 and MIC90 were 0.016 mg/L and 0.094 mg/L, respectively (Table 1).
All isolates were sensitive to cefotaxime (MICs = <0.002–0.125 mg/L) and ceftriaxone (MICs = <0.002–0.094 mg/L).

2.3.1. Susceptibility to Penicillin

Throughout the study period, a reduction in the PenS isolates was observed with a simultaneous increase in both PenI and PenR isolates. The MIC50 for penicillin was 0.064 mg/L, and the MIC90 was 0.38 mg/L. Although, in 2021, only two isolates were received, and one was penicillin-resistant (Figure 1).

Susceptibility to Penicillin in Relation to Serogroups

In general, among the 162 MenB isolates, 52% (84/162) were penicillin-susceptible. The proportion of PenS isolates belonging to MenY, MenC, MenW, and MenX were 58% (7/12), 30% (3/10), 57% (4/7), and 100% (1/1), respectively (Figure 2).
The majority of PenR isolates belonged to MenB (95%; 20/21), while 5% (1/21) belonged to MenW. A decrease in the proportion of MenB PenS isolates was observed over the study period, ranging from 79% in 2012 to 11% in 2018 (data not shown). No PenR isolates were detected among MenY and MenC isolates.

Susceptibility to Penicillin in Relation to Clonal Complexes

Overall, the most prevalent clonal complex was cc269 (21%), followed by cc41/44 (15%) (all related to MenB), while the most prevalent clonal complexes among PenS isolates were cc269, cc32, and cc23. In contrast, cc213 and cc865 were most prevalent among the PenR isolates (Figure 3).

2.3.2. The Distribution of penA Alleles

Forty (40) penA alleles were identified (Table S1). penA1, penA27, and penA3 were highly associated with a susceptibility to penicillin (95%, 94%, and 71%, respectively). Alleles penA14, penA25, and penA22 were highly associated with a reduced susceptibility to penicillin (85%, 78%, and 46%, respectively) (MIC values 0.094–0.25 mg/L). In contrast, penA9, penA910, and penA295 were highly associated with resistance to penicillin (100% for penA9 and penA910 and 75% for penA295) (Figure 4).
A reduction in the penA27 allele was observed from 2010 to 2013, following a further reduction from 2014 to 2021, while alleles penA1 and penA3 were relatively stable throughout the study period. Similarly, there was not a significant change among the alleles highly associated with a reduced susceptibility to penicillin (penA14, penA22, and penA25) during the study period. In contrast, the alleles highly associated with penicillin resistance (penA9, penA910, and penA295) were detected from 2015 onwards (Figure 5).
Two new penA alleles were identified (Table S2). penA1185, belonging to ST-269 (cc269), was PenI (MIC = 0.19 mg/L), while penA1189, belonging to ST-13136 (cc60), was PenR (MIC = 0.75 mg/L). Both penA alleles were submitted to the Neisseria PubMLST database (http://pubmlst.org/neisseria/) (accessed on 20 February 2023) [26].

2.3.3. Distribution of penA Alleles in Relation to Serogroups and Clonal Complexes

Alleles penA3 and penA27 were found in MenB isolates and were highly associated with cc32 (74%; 26/35) and cc269 (100%; 35/35), respectively (Table S2). The penA1 allele was mostly associated with MenB cc41/44 (45%; 9/20), MenY cc11, and MenW cc11 (15%; 3/20, respectively). The penA25 allele was highly associated with MenB cc162 (89%; 8/9), while penA22 was highly associated with MenY cc23 (69%; 9/13). In contrast, penA14 was highly diverse and not related to any specific serogroup or clonal complex. Nine (9) penA alleles were identified among the 21 PenR isolates (Table S2). All possessed five amino acid substitutions (AASs) (F504L, A510V, I515V, H541N, and I566V) in the penA gene associated with penicillin resistance and reduced susceptibility [14]. The PenR isolates that harbored penA9 allele were mostly associated with MenB cc865 (5/6; 83%) or MenW cc11 (1/6; 17%). The penA295 allele was identified in all the MenB cc213 PenR isolates. The penA910 allele identified in two MenB, ST-3129 (unassigned cc) PenR isolates were recovered from an outbreak that occurred in a migration camp in the Greek island of Lesbos [19], also exhibiting ciprofloxacin resistance.

2.3.4. Susceptibility to Ciprofloxacin

The majority of the isolates (99%) were sensitive to ciprofloxacin, harboring mainly the alleles gyrA4 (33%; 63/192), gyrA12 (25%; 48/192), gyrA2 (20%; 38/192), and gyrA3 (11%; 22/192). Further, two new gyrA alleles were identified (gyrA396 and gyrA397), both belonging to MenB ST-163 (163cc) and ST-162 (162cc), respectively, and they were submitted to the Neisseria PubMLST database (http://pubmlst.org/neisseria/) (accessed on 20 February 2023) [26]. Two strains belonging to MenB and ST-3129 (unassigned cc) that harbored the gyrA346 allele were resistant to ciprofloxacin (MIC = 0.25 mg/L) and were isolated for the first time in Greece during an outbreak in a migration camp [19]. A T91I mutation within the gyrA-QRDR was identified. Both isolates were also resistant to penicillin (MIC = 0.5 mg/L).

2.3.5. Susceptibility to Rifampicin

The majority (99.5%) of the isolates were sensitive to rifampicin. The most frequent alleles were rpoB4 (33%; 63/192), rpoB2 (15%; 28/192), rpoB18, and rpoB34 (13%; 24/192 respectively), followed by rpoB28 (8%; 16/192) and rpoB5 (5%; 10/192). Four new rifampicin-sensitive rpoB alleles were identified; rpoB281 (MenX, ST-11135, unassigned cc), rpoB282 (MenB, ST-12882, unassigned cc), rpoB283 (MenB, ST-12984, cc865), and rpoB284 (MenB, ST-213, cc213) were submitted to the Neisseria PubMLST database (http://pubmlst.org/neisseria/) (accessed on 20 February 2023) [26]. One rifampicin-resistant isolate (MIC = 0.38 mg/L) harbored the rpoB5 allele and belonged to MenB, ST-12983 (unassigned cc). The strain was isolated from a sporadic case.

3. Discussion

The present study describes, for the first time in Greece, the genotypic detection of antibiotic resistance to penicillin, ciprofloxacin, and rifampicin among N. meningitidis isolated from IMD cases. In a similar previous Greek study, during the years 1989 to 1991 [24], no resistance to ciprofloxacin and rifampicin was reported. However, nearly half the isolates (48.3%) were reported with reduced susceptibility to penicillin. This percentage was quite high, mainly due to different penicillin breakpoints implemented at that time. In the present study, 52% of isolates were penicillin-susceptible, and standard exposure (PenS) was in line with studies from Italy (55%) [7] and lower than in the UK (63%) [8]. Furthermore, 37% exhibited penicillin susceptibility, increased exposure (PenI) in agreement with studies from UK (34%) [8], and lower than Italy (45%) [7] and Australia (59%) [13]. The present study showed that 11% of isolates were penicillin-resistant, in agreement with data from Australia (13%) [13] and higher than those from the UK (3%) [8], the USA (<0.1%) [9], and Italy (0.7%) [7].
During the 12-year study period, the percentage of PenI isolates has increased over time, which is consistent with global trends, as multiple countries have reported an increased proportion of PenI isolates since 2000 [7,10,11,27]. Although there is no evidence to suggest that isolates with reduced susceptibility are associated with treatment failure, the increased PenI isolates could still pose a concern for individuals with hereditary or acquired complement deficiencies and persons being treated with complement inhibitors, who sometimes receive long-term penicillin prophylaxis [4,28].
In total, 40 penA alleles were identified; alleles penA9, penA910, and penA295 were highly associated with penicillin resistance in line with other studies, for which penA9 was also identified in PenR isolates in studies from the UK [8], Belgium [10], and Japan [12], while the penA295 allele was also detected among the PenR isolates in a study from the UK [8]. The penA910 allele was identified among the Greek PenR isolates; to our knowledge, this allele has not been reported in PenR isolates from other studies. Alleles penA14, penA25, and penA22 were found to be highly associated with reduced susceptibility to penicillin. Our findings come to an agreement with studies from Italy [7] and the UK [8], where the penA14 has also been reported in PenI isolates. The identification of PenI isolates harboring the penA25 allele is in agreement with studies from the UK [8] and Italy [7], although we detected it in a higher frequency. The penA22 allele was identified mostly in PenI isolates, which is in agreement with the UK study [8]. However this allele has also been identified in PenS isolates, in agreement with a study from Ireland [27]. Alleles penA1, penA27, and penA3 were found to be highly associated with susceptibility to penicillin. The penA1 allele has been detected in PenS isolates in studies from the UK [8], Ireland [27], and Brazil [29], although in a higher proportion compared to our study. In contrast, the penA27 allele has also been identified in PenS isolates in studies from the UK [8] and Ireland [27], but in a lower proportion compared to our findings. penA3 was mostly associated with PenS isolates, which is in line with studies from the UK [8], Ireland [27], and Brazil [29].
The majority of MenB cc269 and cc32 isolates were PenS and harbored the penA27 and penA3 alleles, respectively. The majority of MenB cc162 PenI isolates were highly associated with the penA25 allele, in contrast to a previous study where the penA14 allele has been reported in PenI MenB cc162 isolates [7]. Half of the MenB cc213 isolates harbored the penA295 allele and were either PenI or PenR, in line with a previous study [7]. The majority of the MenY isolates, belonging to cc23 [7,30,31,32,33], harbored the penA22 allele and were either PenS or PenI, in contrast to previous studies [7], where the penA20 allele was identified among the MenY cc23 PenI isolates. Most of the isolates belonging to the hypervirulent clone cc11, mainly associated with MenC [7,30,31], were PenI, harboring mainly the penA248 allele, in agreement with a previous study [7]. Although the invasive MenW cc11 lineage has been detected in our study, the majority of isolates were PenS, highly associated with the penA1 allele, while only one isolate was PenR, harboring the penA9 allele that has been reported in PenR strains circulating in several countries [12,34].
Although ciprofloxacin resistance is rare worldwide [7,8,9,12,29,30], a recent study from China has shown that the average ciprofloxacin susceptibility rate across all serogroups was 24.9% [35], and, since 2004, all ciprofloxacin-resistant isolates of the various clonal complexes contained a T91I mutation in the gyrA gene, with more genetic diversity for gyrA compared with susceptible strains [36]. This causes an ongoing concern regarding the increasing prevalence of ciprofloxacin-resistant N. meningitidis globally. In the present study, only two isolates were ciprofloxacin-resistant (MIC = 0.25 mg/L), harboring the gyrA346 allele with a T91I mutation, belonging to ST-3129 (unassigned cc) and closely related to an isolate from China, indicating that the ciprofloxacin-resistant isolates were imported. Further, 99% of the isolates were sensitive to ciprofloxacin; the gyrA4 allele was the most prevalent and in agreement with other studies [31].
Almost all isolates were sensitive to rifampicin (99.5%; 191/192). The most frequent allele was rpoB4. However, one strain was found resistant and derived from a sporadic case with no evidence of being a close contact of an index case, harboring the rpoB5 allele. However, no mutations in the rpoB gene associated with high rifampicin resistance was found, in contrast to a previous study in Brazil where the allele rpoB14, which is associated with high rifampicin resistance, was detected in one isolate [29]. Nonetheless, rifampicin resistance seems to be stable in Greece, as it remains low and in agreement with the previous study [24]. Further analysis is needed to identify the possible mechanisms responsible for the resistance to rifampicin of this particular strain.
Some limitations in our study include that our results reflect only culture confirmed cases due to early antibiotic treatment prior to sampling (40% vs. 60% non-culture confirmed). Furthermore, due to the COVID-19 pandemic, the number of cases and isolates was low during the years 2020–2021 due to the sharp decrease in IMD cases in Greece [37] and worldwide [38]. Nonetheless, this study provides the first insight into the molecular characterization of invasive N. meningitidis isolates in Greece as data collected represent the whole country.
From a public health perspective, as Greece has a high percentage of antimicrobial resistance in both the community and hospital settings, monitoring the antimicrobial susceptibility of N. meningitidis is of utmost importance. Sustained genomic surveillance of AMR among meningococci is essential to monitor for the emergence and evolution of resistant clones carrying specific resistance genes that could jeopardize the effective national IMD chemoprophylaxis and treatment strategies.

4. Materials and Methods

4.1. Source of Specimens

A total of 486 IMD cases were confirmed for the period 2010–2021 (average incidence 0.4 per 100,000 population). All samples, cerebrospinal fluid (CSF), and/or blood (depending on the patient’s clinical presentation), as well as isolates, were sent to the National Meningitis Reference Laboratory (NMRL) from hospitals throughout the country for further identification. However, due to early administration of antibiotic treatment prior to sampling, 40% (192/486) of the cases were cultured and confirmed, while 60% (294/486) were confirmed solely by PCR, for which no culture isolates were available. As the present study aims susceptibility testing, we focused on the 192 culture confirmed cases. Patients’ age ranged from <12 months to 88 years old (median age 18 years), while 90 patients were males, and 102 were females.

4.2. Identification

Meningococcal isolates were cultured on Chocolate Columbia Agar (OXOID Ltd., Basingstoke, UK) and incubated at 37 °C and 5–10% CO2 for 24 h, with a further N. meningitidis confirmation by the application of a multiplex PCR, as previously described [39]. Serogroups were determined by a slide agglutination test (Remel Europe Ltd., Dartford, Kent, UK) according to the manufacturer’s instructions.

4.3. Antibiotic Susceptibility Testing

E-test was deployed for determining the Minimum Inhibitory Concentration (MIC) for penicillin, rifampicin, and ciprofloxacin by the use of MIC test strip methods (LIOFILCHEM S.r.l, Teramo, Italy) on Mueller-Hinton agar supplemented with 5% sheep blood (OXOID Ltd., Basingstoke, UK) and incubated at 37 °C according to the manufacturer’s instructions. The values were interpreted according to the European Committee on Antimicrobial Susceptibility Testing (EUCAST; v13.0; 1 January 2023).
Isolates of penicillin MIC value ≤0.064 mg/L were categorised as ‘susceptible, standard dosing regimen (S)’ (where there is a high likelihood of therapeutic success using a standard dosing regimen of the agent) and isolates of penicillin MIC value >0.25 mg/L were categorised as ‘resistant (R)’ (where there is a high likelihood of therapeutic failure even when there is increased exposure). Isolates exhibiting intermediate penicillin MIC values 0.094–0.25 mg/L were categorised as ‘susceptible, increased exposure (I)’ (where there is a high likelihood of therapeutic success because exposure to the agent is increased by adjusting the dosing regimen or by its concentration at the site of infection) [40].
Isolates of ciprofloxacin MIC value ≤0.016 mg/L and rifampicin MIC value ≤0.25 mg/L were categorized as susceptible.

4.4. Multilocus Sequence Typing (MLST)

Isolates belonging to a serogroup were characterized by MLST typing, as described previously [41], using the Neisseria PubMLST database (http://pubmlst.org/neisseria/) (accessed on 20 February 2023) [26]. Sequence types (ST) were defined and grouped into clonal complexes (ccs).

4.5. Molecular Identification of penA, gyrA and rpoB Genes

A 402 bp fragment (penA) of the NEIS1753 (PBP2) gene was characterised by PCR by the use of penA1F and penA1R primers, as previously described by Taha et al. [15]. A 525 bp fragment of the Quinolone Resistance-Determining Region (QRDR) of gyrA gene was amplified by PCR, by the use of gyrA1F and gyrA1R primers, previously described by Hong et al. [42], while a 660 bp fragment of the rpoB gene, was characterized by PCR by the use of RpoB1F and RpoB1R primers, as previously described by Taha et al. [43] (Table S3).

4.6. Amplification Protocol

Amplification reactions contained 0.4 μM of each primer (VBC, Hamburg, Germany), 0.8 mM dNTPs (New England Biolabs, Ipswich, MA, USA), 0.5 U Phusion High-Fidelity DNA Polymerase (New England Biolabs), 1× reaction buffer GC, and 1 μL of DNA template in a total volume 25 μL. Polymerase chain reaction conditions were the following: 98 °C for 30 s; 98 °C for 20 s, 69 °C for 30 s, and 72 °C for 20 s (35 cycles); the final extension step was at 72 °C for 1 min (Robocycler Gradient 96 Cycler, Stratagene, La Jolla, CA, USA).
Positive and negative controls were included in each respective PCR assay. In particular, the N. meningitidis reference strains 4954, 4955, and 4956 were obtained from the UK NEQAS (in the frame of IBDLabNet External Quality Assurance scheme), which were used as positive controls, while PCR-grade water (InvitrogenTM, Life Technologies Corporation, Waltham, MA, USA) was used as a negative control.
Finally, gel electrophoresis was carried out in 10 μL of the PCR product stained with GelRed loading buffer (6× Gel loading dye, Biotium, Fremont, CA, USA) in 2% (w/v) agarose gel (Nippon Genetics, Tokyo, Japan) using a FastGene 100 bp DNA marker (MWD100, Nippon Genetics, Tokyo, Japan) and visualized under ultraviolet fluorescence light.

4.7. PCR Product Purification and Sequencing

PCR products were purified according to the PCR-clean-up protocol, NucleoSpin® Gel, and a PCR clean-up kit (Macherey–Nagel, Düren, Germany) in a 30 μL final elution volume. Further, in order to test the purification yield, 5 μL of the purified product was stained with 1 μL GelRed loading buffer (6× Gel loading dye, Biotium, Fremont, CA, USA). Purified products were subjected to electrophoresis in 2.0% (w/v) agarose gel (Nippon Genetics, Tokyo, Japan) and visualized under ultraviolet fluorescence light. The purified products were sequenced by Sanger on an ABI 3730xl DNA analyzer (Applied Biosystems™, ThermoFisher Scientific, Waltham, MA, USA) using the BigDye™ Terminator v3.1 Cycle Sequencing Kit (Applied Biosystems™, ThermoFisher Scientific, Waltham, MA, USA).

4.8. Sequencing Analysis

Chromatograms were analyzed using Chromas software (http://technelysium.com.au/wp/chromas/, version 2.6.6, Technelysium Pty Ltd., South Brisbane, Australia, free downloaded) (accessed on 20 February 2023). Nucleotide sequences derived from the two DNA chains were compared to each other with ClustalW (https://www.genome.jp/tools-bin/clustalw/) (accessed on 20 February 2023) bioinformatics tools were provided by GenomeNet, Kyoto University Bioinformatics Center, Kyoto, Japan, free online software). Alleles at antigenic loci were assigned by the Neisseria PubMLST database (http://pubmlst.org/neisseria/) (accessed on 20 February 2023) [26].

5. Conclusions

In conclusion, we demonstrated that, during 12 years of IMD surveillance in Greece, resistance to ciprofloxacin and rifampicin remained rare. However, decreasing susceptibility was observed for penicillin. Phenotypic antimicrobial resistance surveys of isolates collected from Greek IMD cases, along with genetic investigations into the mechanisms of resistance, are important for ensuring that current antibiotic treatment and prophylaxis recommendations remain relevant.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/antibiotics12071136/s1, Table S1: penA alleles among PenR and PenI meningococcal isolates in Greece, 2010 to 2021.; Table S2: Distribution of penA alleles in relation to serogroups and clonal complexes, Greece, 2010–2021.; Table S3: Oligonucleotide primers used for the PCR amplification and sequencing of penA, gyrA and rpoB genes.

Author Contributions

Conceptualization, I.S., A.X. and G.T.; formal analysis, I.S., A.X., S.S. and G.T.; methodology, I.S. and A.X.; software, I.S. and A.X.; validation, I.S., A.X., S.S. and G.T.; investigation, I.S., A.X., S.S. and G.T.; resources, G.T.; data curation, I.S., A.X. and G.T.; writing—original draft preparation, I.S. and G.T.; writing—review and editing, I.S., A.X., S.S. and G.T.; visualization, I.S., A.X. and G.T.; supervision, G.T. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Ethical review and approval were waived for this study as depersonalized data from notifiable disease registry and laboratory findings were used.

Informed Consent Statement

Patient consent was waived due to use of depersonalized data from a notifiable disease registry and laboratory findings.

Data Availability Statement

Data upon request.

Acknowledgments

The authors are grateful to all collaborative clinicians and microbiologists from hospitals throughout the country for sending samples. Additionally, the authors are grateful to Eva Hong (Institut Pasteur, Paris, France) and Keith Jolley (University of Oxford, Oxford, UK) for their support in the curation and submission of the new alleles in the PubMLST Neisseria database.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Nadel, S.; Ninis, N. Invasive Meningococcal Disease in the Vaccine Era. Front. Pediatr. 2018, 6, 321. [Google Scholar] [CrossRef] [PubMed]
  2. Wang, B.; Santoreneos, R.; Giles, L.; Haji Ali Afzali, H.; Marshall, H. Case Fatality Rates of Invasive Meningococcal Disease by Serogroup and Age: A Systematic Review and Meta-Analysis. Vaccine 2019, 37, 2768–2782. [Google Scholar] [CrossRef] [PubMed]
  3. European Centre for Disease Prevention and Control. Invasive Meningococcal Disease. In ECDC. Annual Epidemiological Report for 2018; ECDC: Stockholm, Sweden, 2022. [Google Scholar]
  4. Acevedo, R.; Bai, X.; Borrow, R.; Caugant, D.A.; Carlos, J.; Ceyhan, M. The Global Meningococcal Initiative Meeting on Prevention of Meningococcal Disease Worldwide: Epidemiology, Surveillance, Hypervirulent Strains, Antibiotic Resistance and High-Risk Populations. Expert Rev. Vaccines 2019, 18, 15–30. [Google Scholar] [CrossRef] [Green Version]
  5. Maiden, M.C.; Bygraves, J.A.; Feil, E.; Morelli, G.; Russell, J.E.; Urwin, R. Multilocus Sequence Typing: A Portable Approach to the Identification of Clones within Populations of Pathogenic Microorganisms. Proc. Natl. Acad. Sci. USA 1998, 95, 3140–3145. [Google Scholar] [CrossRef] [Green Version]
  6. Nadel, S. Treatment of Meningococcal Disease. J. Adolesc. Health 2016, 59, S21–S28. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Vacca, P.; Fazio, C.; Neri, A.; Ambrosio, L.; Palmieri, A.; Stefanelli, P. Neisseria meningitidis Antimicrobial Resistance in Italy, 2006 to 2016. Antimicrob. Agents Chemother. 2018, 62, e00207-18. [Google Scholar] [CrossRef] [Green Version]
  8. Willerton, L.; Lucidarme, J.; Walker, A.; Lekshmi, A.; Clark, S.A.; Walsh, L.; Bai, X.; Lee-Jones, L.; Borrow, R. Antibiotic Resistance among Invasive Neisseria meningitidis Isolates in England, Wales and Northern Ireland (2010/11 to 2018/19). PLoS ONE 2021, 16, e0260677. [Google Scholar] [CrossRef]
  9. Potts, C.C.; Rodriguez-Rivera, L.D.; Retchless, A.C.; Hu, F.; Marjuki, H.; Blain, A.E.; McNamara, L.A.; Wang, X. Antimicrobial Susceptibility Survey of Invasive Neisseria meningitidis, United States 2012–2016. J. Infect. Dis. 2022, 225, 1871–1875. [Google Scholar] [CrossRef]
  10. Bertrand, S.; Carion, F.; Wintjens, R.; Mathys, V.; Vanhoof, R. Evolutionary Changes in Antimicrobial Resistance of Invasive Neisseria meningitidis Isolates in Belgium from 2000 to 2010: Increasing Prevalence of Penicillin Nonsusceptibility. Antimicrob. Agents Chemother. 2012, 56, 2268–2272. [Google Scholar] [CrossRef] [Green Version]
  11. Bijlsma, M.W.; Bekker, V.; Brouwer, M.C.; Spanjaard, L.; van de Beek, D.; van der Ende, A. Epidemiology of Invasive Meningococcal Disease in the Netherlands, 1960–2012: An Analysis of National Surveillance Data. Lancet Infect. Dis. 2014, 14, 805–812. [Google Scholar] [CrossRef]
  12. Saito, R.; Nakajima, J.; Prah, I.; Morita, M.; Mahazu, S.; Ota, Y.; Kobayashi, A.; Tohda, S.; Kamiya, H.; Takahashi, H.; et al. Penicillin- and Ciprofloxacin-Resistant Invasive Neisseria meningitidis Isolates from Japan. Microbiol. Spectr. 2022, 10, e0062722. [Google Scholar] [CrossRef] [PubMed]
  13. Lahra, M.M.; George, C.R.; Hogan, T.R. Australian Meningococcal Surveillance Programme Annual Report, 2021. Commun. Dis. Intell. 2022, 46, 1–14. [Google Scholar] [CrossRef]
  14. Phillips, C.; Haldane, D.J. Susceptibilities of Invasive Neisseria meningitidis Strains to Agents Used for Prophylaxis and to Penicillin G. J. Assoc. Med. Microbiol. Infect. Dis. Can. 2021, 6, 307–312. [Google Scholar] [CrossRef] [PubMed]
  15. Taha, M.-K.; Vázquez, J.A.; Hong, E.; Bennett, D.E.; Bertrand, S.; Bukovski, S.; Cafferkey, M.T.; Carion, F.; Christensen, J.J.; Diggle, M.; et al. Target Gene Sequencing to Characterize the Penicillin G Susceptibility of Neisseria meningitidis. Antimicrob. Agents Chemother. 2007, 51, 2784–2792. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Gorla, M.C.; Cassiolato, A.P.; Pinhata, J.M.W.; de Moraes, C.; Corso, A.; Gagetti, P.; Lemos, A.P. Emergence of Resistance to Ciprofloxacin in Neisseria meningitidis in Brazil. J. Med. Microbiol. 2018, 67, 286–288. [Google Scholar] [CrossRef] [Green Version]
  17. Chen, M.; Zhang, C.; Zhang, X.; Chen, M. Meningococcal Quinolone Resistance Originated from Several Commensal Neisseria Species. Antimicrob. Agents Chemother. 2020, 64, e01494-19. [Google Scholar] [CrossRef]
  18. McNamara, L.A.; Potts, C.; Blain, A.E.; Retchless, A.C.; Reese, N.; Swint, S.; Lonsway, D.; Karlsson, M.; Lunquest, K.; Sweitzer, J.J.; et al. Detection of Ciprofloxacin-Resistant, β-Lactamase-Producing Neisseria meningitidis Serogroup Y Isolates—United States, 2019–2020. MMWR Morb. Mortal. Wkly. Rep. 2020, 69, 735–739. [Google Scholar] [CrossRef] [PubMed]
  19. Willerton, L.; Lucidarme, J.; Campbell, H.; Caugant, D.A.; Claus, H.; Jacobsson, S.; Ladhani, S.N.; Mölling, P.; Neri, A.; Stefanelli, P.; et al. Geographically Widespread Invasive Meningococcal Disease Caused by a Ciprofloxacin Resistant Non-Groupable Strain of the ST-175 Clonal Complex. J. Infect. 2020, 81, 575–584. [Google Scholar] [CrossRef]
  20. Tzanakaki, G.; Georgakopoulou, T.; Xirogianni, A.; Papandreou, A.; Deghmane, A.-E.; Magaziotou, I.; Taha, M.-K. First Report of Meningococcal Ciprofloxacin Resistance in Greece Due to Invasive Isolates of the Sequence Type ST-3129. Eur. J. Clin. Microbiol. Infect. Dis. 2020, 39, 2467–2470. [Google Scholar] [CrossRef]
  21. Stefanelli, P.; Fazio, C.; La Rosa, G.; Marianelli, C.; Muscillo, M.; Mastrantonio, P. Rifampicin-Resistant Meningococci Causing Invasive Disease: Detection of Point Mutations in the RpoB Gene and Molecular Characterization of the Strains. J. Antimicrob. Chemother. 2001, 47, 219–222. [Google Scholar] [CrossRef] [Green Version]
  22. Rainbow, J.; Cebelinski, E.; Bartkus, J.; Glennen, A.; Boxrud, D.; Lynfield, R. Rifampin-Resistant Meningococcal Disease. Emerg. Infect. Dis. 2005, 11, 977–979. [Google Scholar] [CrossRef]
  23. Taha, M.-K.; Zarantonelli, M.L.; Ruckly, C.; Giorgini, D.; Alonso, J.-M. Rifampin-Resistant Neisseria meningitidis. Emerg. Infect. Dis. 2006, 12, 859–860. [Google Scholar] [CrossRef]
  24. Tzanakaki, G.; Blackwell, C.C.; Kremastinou, J.; Kallergi, C.; Kouppari, G.; Weir, D.M. Antibiotic Sensitivities of Neisseria meningitidis Isolates from Patients and Carriers in Greece. Epidemiol. Infect. 1992, 108, 449–455. [Google Scholar] [CrossRef] [Green Version]
  25. Flountzi, A.; Georgakopoulou, T.; Balasegaram, S.; Kesanopoulos, K.; Xirogianni, A.; Papandreou, A.; Tzanakaki, G. Members of the Hellenic network for Invasive meningococcal disease Epidemiology of Invasive Meningococcal Disease in Greece, 2006–2016. Eur. J. Clin. Microbiol. Infect. Dis. 2019, 38, 2197–2203. [Google Scholar] [CrossRef]
  26. Jolley, K.A.; Bray, J.E.; Maiden, M.C.J. Open-Access Bacterial Population Genomics: BIGSdb Software, the PubMLST.Org Website and Their Applications. Wellcome Open Res. 2018, 3, 124. [Google Scholar] [CrossRef] [PubMed]
  27. Bennett, D.E.; Meyler, K.L.; Cafferkey, M.T.; Cunney, R.J. Antibiotic Susceptibility and Molecular Analysis of Invasive Neisseria meningitidis Recovered in the Republic of Ireland, 1996 to 2016. Eur. J. Clin. Microbiol. Infect. Dis. 2021, 40, 1127–1136. [Google Scholar] [CrossRef]
  28. McNamara, L.A.; Topaz, N.; Wang, X.; Hariri, S.; Fox, L.; MacNeil, J.R. High Risk for Invasive Meningococcal Disease Among Patients Receiving Eculizumab (Soliris) Despite Receipt of Meningococcal Vaccine. MMWR Morb. Mortal. Wkly. Rep. 2017, 66, 734–737. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  29. Silva, L.A.; Coronato, B.; Schlackman, J.; Marsh, J.W.; Ezeonwuka, C.; Fernandes, A.C.L.; Souza, V.C.; da Silva, L.S.; de Amorim, E.F.Q.; Naveca, F.G.; et al. Neisseria meningitidis Disease-Associated Clones in Amazonas State, Brazil. Infect. Dis. Lond. Engl. 2018, 50, 697–704. [Google Scholar] [CrossRef] [PubMed]
  30. Moreno, J.; Alarcon, Z.; Parra, E.; Duarte, C.; Sanabria, O.; Prada, D.; Gabastou, J.M. Molecular Characterization of Neisseria meningitidis Isolates Recovered from Patients with Invasive Meningococcal Disease in Colombia from 2013 to 2016. PLoS ONE 2020, 15, e0234475. [Google Scholar] [CrossRef]
  31. Bukovski, S.; Vacca, P.; Anselmo, A.; Knezovic, I.; Fazio, C.; Neri, A.; Ciammaruconi, A.; Fortunato, A.; Palozzi, A.M.; Fillo, S.; et al. Molecular Characterization of a Collection of Neisseria meningitidis Isolates from Croatia, June 2009 to January 2014. J. Med. Microbiol. 2016, 65, 1013–1019. [Google Scholar] [CrossRef] [Green Version]
  32. Bröker, M.; Emonet, S.; Fazio, C.; Jacobsson, S.; Koliou, M.; Kuusi, M.; Pace, D.; Paragi, M.; Pysik, A.; Simões, M.J.; et al. Meningococcal Serogroup Y Disease in Europe: Continuation of High Importance in Some European Regions in 2013. Hum. Vaccines Immunother. 2015, 11, 2281–2286. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Ibarz-Pavón, A.B.; Lemos, A.P.; Gorla, M.C.; Regueira, M.; Gabastou, J.-M.; SIREVA Working Group II. Laboratory-Based Surveillance of Neisseria meningitidis Isolates from Disease Cases in Latin American and Caribbean Countries, SIREVA II 2006-2010. PLoS ONE 2012, 7, e44102. [Google Scholar] [CrossRef] [PubMed]
  34. Willerton, L.; Lucidarme, J.; Walker, A.; Lekshmi, A.; Clark, S.A.; Gray, S.J.; Borrow, R. Increase in Penicillin-Resistant Invasive Meningococcal Serogroup W ST-11 Complex Isolates in England. Vaccine 2021, 39, 2719–2729. [Google Scholar] [CrossRef] [PubMed]
  35. Xu, L.; Han, F.Y.; Wu, D.; Zhu, B.Q.; Gao, W.Y.; Gao, Y.; Li, Y.X.; Shao, Z.J. Analysis on antimicrobial sensitivity of Neisseria meningitidis in China from 2005 to 2019. Chin. J. Prev. Med. 2021, 55, 207–211. [Google Scholar] [CrossRef]
  36. Zhu, B.; Fan, Y.; Xu, Z.; Xu, L.; Du, P.; Gao, Y.; Shao, Z. Genetic Diversity and Clonal Characteristics of Ciprofloxacin-Resistant Meningococcal Strains in China. J. Med. Microbiol. 2014, 63, 1411–1418. [Google Scholar] [CrossRef] [Green Version]
  37. Ktena, D.; Kourkouni, E.; Kontopidou, F.; Gkolfinopoulou, K.; Papadima, K.; Georgakopoulou, T.; Magaziotou, I.; Andreopoulou, A.; Tzanakaki, G.; Zaoutis, T.; et al. Population-Based Study of Influenza and Invasive Meningococcal Disease among Greek Children during the COVID-19 Pandemic. BMJ Paediatr. Open 2022, 6, e001391. [Google Scholar] [CrossRef]
  38. Alderson, M.R.; Arkwright, P.D.; Bai, X.; Black, S.; Borrow, R.; Caugant, D.A.; Dinleyici, E.C.; Harrison, L.H.; Lucidarme, J.; McNamara, L.A.; et al. Surveillance and Control of Meningococcal Disease in the COVID-19 Era: A Global Meningococcal Initiative Review. J. Infect. 2022, 84, 289–296. [Google Scholar] [CrossRef]
  39. Tzanakaki, G.; Tsopanomichalou, M.; Kesanopoulos, K.; Matzourani, R.; Sioumala, M.; Tabaki, A.; Kremastinou, J. Simultaneous Single-Tube PCR Assay for the Detection of Neisseria meningitidis, Haemophilus Influenzae Type b and Streptococcus pneumoniae. Clin. Microbiol. Infect. 2005, 11, 386–390. [Google Scholar] [CrossRef] [Green Version]
  40. Eucast: New S, I and R Definitions. Available online: https://www.eucast.org/newsiandr (accessed on 2 January 2023).
  41. Clarke, S.C.; Diggle, M.A.; Edwards, G.F. Semiautomation of Multilocus Sequence Typing for the Characterization of Clinical Isolates of Neisseria meningitidis. J. Clin. Microbiol. 2001, 39, 3066–3071. [Google Scholar] [CrossRef] [Green Version]
  42. Hong, E.; Thulin Hedberg, S.; Abad, R.; Fazio, C.; Enríquez, R.; Deghmane, A.-E.; Jolley, K.A.; Stefanelli, P.; Unemo, M.; Vazquez, J.A.; et al. Target Gene Sequencing to Define the Susceptibility of Neisseria meningitidis to Ciprofloxacin. Antimicrob. Agents Chemother. 2013, 57, 1961–1964. [Google Scholar] [CrossRef] [Green Version]
  43. Taha, M.-K.; Hedberg, S.T.; Szatanik, M.; Hong, E.; Ruckly, C.; Abad, R.; Bertrand, S.; Carion, F.; Claus, H.; Corso, A.; et al. Multicenter Study for Defining the Breakpoint for Rifampin Resistance in Neisseria meningitidis by RpoB Sequencing. Antimicrob. Agents Chemother. 2010, 54, 3651–3658. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. Susceptibility to penicillin among meningococcal isolates by year, Greece, 2010–2021.
Figure 1. Susceptibility to penicillin among meningococcal isolates by year, Greece, 2010–2021.
Antibiotics 12 01136 g001
Figure 2. Penicillin susceptible isolates in relation to serogroups, Greece, 2010–2021.
Figure 2. Penicillin susceptible isolates in relation to serogroups, Greece, 2010–2021.
Antibiotics 12 01136 g002
Figure 3. Susceptibility to penicillin in relation to clonal complexes, Greece, 2010–2021.
Figure 3. Susceptibility to penicillin in relation to clonal complexes, Greece, 2010–2021.
Antibiotics 12 01136 g003
Figure 4. Distribution of penA alleles among the meningococcal isolates in relation to penicillin susceptibility, Greece, 2010–2021.
Figure 4. Distribution of penA alleles among the meningococcal isolates in relation to penicillin susceptibility, Greece, 2010–2021.
Antibiotics 12 01136 g004
Figure 5. Distribution of penA alleles by year during the study, Greece, 2010–2021.
Figure 5. Distribution of penA alleles by year during the study, Greece, 2010–2021.
Antibiotics 12 01136 g005
Table 1. Antibiotic susceptibility by year in Greece, 2010–2021.
Table 1. Antibiotic susceptibility by year in Greece, 2010–2021.
Number of Isolates by Year (%)
MIC Values by
Antibiotic
2010
(n = 22)
2011
(n = 16)
2012
(n = 17)
2013
(n = 18)
2014
(n = 21)
2015
(n = 18)
2016
(n = 26)
2017
(n = 17)
2018
(n = 14)
2019
(n = 15)
2020
(n = 6)
2021
(n = 2)
Total
(n = 192)
Penicillin
PenS ≤ 0.064 mg/L16 (73%)10 (63%)13 (75%)12 (67%)10 (48%)8
(45%)
12 (46%)9
(53%)
2
(14%)
4
(27%)
2
(33%)
1
(50%)
99
PenI 0.094–0.25 mg/L6
(27%)
6
(37%)
3
(19%)
5
(28%)
10 (48%)6
(33%)
11 (42%)6
(35%)
8
(57%)
9
(60%)
2
(33%)
0
(0%)
72
PenR > 0.25 mg/L0
(0%)
0
(0%)
1
(6%)
1
(5%)
1
(4%)
4
(22%)
3
(12%)
2
(12%)
4
(29%)
2
(13%)
2
(33%)
1
(50%)
21
Ciprofloxacin
CipS ≤ 0.016 mg/L2216171821182617141542190
CipR > 0.016 mg/L0000000000202
Rifampicin
RifS ≤ 0.25 mg/L2216171821172617141562191
RifR > 0.25 mg/L0000010000001
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Spiliopoulou, I.; Xirogianni, A.; Simantirakis, S.; Tzanakaki, G. Meningococcal Antibiotic Resistance: Molecular Characterization of Isolates from Patients with Invasive Meningococcal Disease (IMD) in Greece. Antibiotics 2023, 12, 1136. https://doi.org/10.3390/antibiotics12071136

AMA Style

Spiliopoulou I, Xirogianni A, Simantirakis S, Tzanakaki G. Meningococcal Antibiotic Resistance: Molecular Characterization of Isolates from Patients with Invasive Meningococcal Disease (IMD) in Greece. Antibiotics. 2023; 12(7):1136. https://doi.org/10.3390/antibiotics12071136

Chicago/Turabian Style

Spiliopoulou, Ioanna, Athanasia Xirogianni, Stelmos Simantirakis, and Georgina Tzanakaki. 2023. "Meningococcal Antibiotic Resistance: Molecular Characterization of Isolates from Patients with Invasive Meningococcal Disease (IMD) in Greece" Antibiotics 12, no. 7: 1136. https://doi.org/10.3390/antibiotics12071136

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop