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. 2022 Jan 7;12:9. doi: 10.1038/s41598-021-03995-1

Antimicrobial susceptibility of commensal Neisseria in a general population and men who have sex with men in Belgium

Jolein Gyonne Elise Laumen 1,2,#, Christophe Van Dijck 1,2,#, Saïd Abdellati 1, Irith De Baetselier 1, Gabriela Serrano 3, Sheeba Santhini Manoharan-Basil 1, Emmanuel Bottieau 1, Delphine Martiny 3,4, Chris Kenyon 1,5,✉
PMCID: PMC8741786  PMID: 34997050

Abstract

Non-pathogenic Neisseria are a reservoir of antimicrobial resistance genes for pathogenic Neisseria meningitidis and Neisseria gonorrhoeae. Men who have sex with men (MSM) are at risk of co-colonization with resistant non-pathogenic and pathogenic Neisseria. We assessed if the antimicrobial susceptibility of non-pathogenic Neisseria among MSM differs from a general population and if antimicrobial exposure impacts susceptibility. We recruited 96 participants at our center in Belgium: 32 employees, 32 MSM who did not use antibiotics in the previous 6 months, and 32 MSM who did. Oropharyngeal Neisseria were cultured and identified with MALDI-TOF–MS. Minimum inhibitory concentrations for azithromycin, ceftriaxone and ciprofloxacin were determined using E-tests® and compared between groups with non-parametric tests. Non-pathogenic Neisseria from employees as well as MSM were remarkably resistant. Those from MSM were significantly less susceptible than employees to azithromycin and ciprofloxacin (p < 0.0001, p < 0.001), but not ceftriaxone (p = 0.3). Susceptibility did not differ significantly according to recent antimicrobial exposure in MSM. Surveilling antimicrobial susceptibility of non-pathogenic Neisseria may be a sensitive way to assess impact of antimicrobial exposure in a population. The high levels of antimicrobial resistance in this survey indicate that novel resistance determinants may be readily available for future transfer from non-pathogenic to pathogenic Neisseria.

Subject terms: Antimicrobial resistance, Clinical microbiology

Introduction

Neisseria gonorrhoeae and N. meningitidis are becoming increasingly resistant to antimicrobials. For N. gonorrhoeae this concerns last-resort antimicrobials such as ceftriaxone and azithromycin1,2. Numerous studies have documented that for both species, much of this resistance has been acquired from the non-pathogenic Neisseria species that are a key component of a healthy oropharyngeal microbiome3–8. The most prominent genes involved in this transformation include penA, mtrCDE, rplB, rplD, rplV, parC, and gyrA. The acquisition of sections of these genes from non-pathogenic Neisseria has played an important role in the acquisition of penicillin, cephalosporin, macrolide, and/or fluoroquinolone resistance in N. meningitidis and N. gonorrhoeae5,9,10. Recent studies have established that uptake of DNA from non-pathogenic Neisseria was responsible for the majority of fluoroquinolone resistance in N. meningitidis and most azithromycin resistance in N. gonorrhoeae in Germany and the United States4,7,11. Non-pathogenic Neisseria have therefore gained interest as “canaries in the coalmine” for potential future resistance development in pathogenic Neisseria9,12,13.

Despite their importance as reservoirs of antimicrobial resistance (AMR), very few studies have explored the antimicrobial susceptibilities of contemporary non-pathogenic Neisseria. Studies of historical isolates found that non-pathogenic Neisseria were generally less susceptible to antimicrobials than pathogenic Neisseria9,13. In the last decade, however, few surveys have reported data on antimicrobial susceptibility of non-pathogenic Neisseria isolates. Two studies reported high minimum inhibitory concentrations (MICs) for macrolides, cephalosporins and fluoroquinolones among N. lactamica isolates from children in Japan and China in 201514,15. One study found 93% fluoroquinolone resistance among commensal Neisseria from asymptomatic N. meningitidis carriers in China7. Two other studies were surveys among men who have sex with men (MSM) visiting a sexual health clinic in Vietnam in 2016 and Belgium in 20198,16,17. Both reported reduced susceptibility of non-pathogenic Neisseria to the antimicrobials currently used to treat gonorrhoea—azithromycin, and ceftriaxone. The high azithromycin and ceftriaxone MICs of non-pathogenic Neisseria among MSM is of particular concern as gonococcal AMR has frequently emerged in MSM18–20. MSM are also often co-colonised by N. meningitidis and N. gonorrhoeae in their pharynx21–26.

Beyond these studies, very little is known about the epidemiology of antimicrobial susceptibilities in non-pathogenic Neisseria. In particular, little is known about their susceptibility in contemporary general adult populations.

It is not even known if the non-pathogenic Neisseria are more or less resistant in MSM than the general population and how MICs vary in relation to recent antimicrobial consumption.

Therefore, the aim of the current study was to compare the antimicrobial susceptibility of oropharyngeal Neisseria between MSM who recently used antimicrobials, MSM who did not, and employees of our institute as representatives of the general population in Belgium.

Methods

Survey population

This cross-sectional survey included 64 MSM and 32 employees.

The 64 MSM participated in a single centre randomized clinical trial (PReGo) at the Institute of Tropical Medicine (ITM) in Antwerp, Belgium in 2019–2020. PReGo was a placebo-controlled trial that assessed the efficacy of an antiseptic mouthwash (Listerine™) to prevent STIs among 343 MSM27. Taking HIV pre-exposure prophylaxis (PrEP) and having a history of gonorrhoea, chlamydia or syphilis in the previous two years was an inclusion criterium of that study. For the current survey, MSM were sampled at their first study visit, before administration of the PReGo study mouthwash. PReGo participants were enrolled into two groups, depending on their history of antimicrobial exposure.

Group I: MSM who recently used antimicrobials (n = 32)

The first 32 PReGo participants who used at least one antimicrobial in the previous 6 months were included in this group.

Group II: MSM who did not recently use antimicrobials (n = 32)

The first 32 PReGo participants who did not use any antimicrobial in the previous 6 months were included in this group.

Group III: Representatives of the general population: ITM employees who did not recently use antimicrobials (n = 32)

In June 2020, ITM employees were invited to participate by posters and by word of mouth. Candidates who used an antimicrobial in the previous 6 months were excluded. The first 32 eligible employees (male or female) presenting to the study team were included in this survey.

Data collection and sampling procedure

All participants provided written informed consent prior to the collection of data and samples. Baseline characteristics were noted (including self-reported age, sex, antimicrobial use in the previous 6 months). Oropharyngeal samples were taken by a study physician who rubbed both tonsillar pillars and the posterior oropharynx with an ESwab™ (COPAN Diagnostics Inc., Italy).

Sample processing

Culture and identification of Neisseria species

ESwabs™ were inoculated onto Columbia Blood Agar and Modified Thayer-Martin Agar using the streak plate technique and incubated at 35–37 °C and 5% carbon dioxide. Plates were examined after 48 h and Gram negative, oxidase positive colonies were selected, enriched and stored in Skim-milk at − 80 °C.

Isolates were identified to the species level using Matrix-Assisted Laser Desorption/Ionization-Time-of-Flight mass spectrometry (MALDI-TOF MS), on a MALDI Biotyper® Sirius IVD system using the MBT Compass IVD software and library (Bruker Daltonics, Bremen, Germany). Briefly, each bacterial isolate was smeared twice on a polished steel target plate and then covered with 1 μL of α-cyano-4-hydroxycinnamic acid (CHCA) matrix solution. After drying, the target plate was loaded into the instrument. The spectra were acquired in linear mode in a mass range of 2–20 kDa and subsequently compared to the library that included 9607 spectra at that time. Identification results were classified as reliable or unreliable according to recommended cut-off values of 1.7 and 2 for validated results for the genus and species levels, respectively. Only isolates belonging to the genus Neisseria were included in further analyses. Isolates identified as N. macacae were grouped into one category with N. mucosa, whereas isolates identified as N. perflava and N. flavescens were grouped into one category with N. subflava28.

Antimicrobial susceptibility determination

Minimum inhibitory concentrations (MICs) of Neisseria species to azithromycin, ceftriaxone, and ciprofloxacin were determined on GC agar plates using ETEST® (bioMérieux Marcy-l'Étoile, France) incubated for 24 h at 36.5 °C and 5–7% CO2, and expressed in mg/L. Lack of bacterial growth during susceptibility testing resulted in missing values for that isolate.

Statistics

Neisseria prevalence

Prevalence was expressed as the proportion of participants from whom a certain species was isolated. Prevalence was compared between groups using Chi square tests.

Neisseria species richness

Neisseria species richness was defined as the number of different non-pathogenic Neisseria species per participant. Species richness was reported as median (interquartile range) and compared between groups using Kruskal–Wallis rank sum tests. If no significant differences were observed between the two groups of MSM, their data were combined.

Antimicrobial susceptibility

To enable statistical testing, MICs above the maximum or below the minimum level of the ETEST strip were simplified as follows: azithromycin MIC > 256 mg/L was recoded as 512 mg/L; ceftriaxone MIC < 0.016 mg/L as 0.008 mg/L; and ciprofloxacin MIC > 32 mg/L as 64 mg/L. If multiple colonies of the same species were isolated from the same participant, we calculated the median MIC for that species per participant. MICs were reported as median (interquartile range) and compared between groups using Kruskal–Wallis rank sum tests. If no significant differences were observed between the two groups of MSM, their data were combined. Pathogenic and non-pathogenic Neisseria were described and analysed separately, and subsequently stratified by species for species that were isolated at least once in each group.

In a sensitivity analysis, we used linear regression with geometric mean MIC as the outcome and two binary dependent variables: (a) being MSM/employee, and (b) antimicrobial exposure in the previous 6 months. The model was also adjusted for Neisseria species by the inclusion of a categorical variable.

All statistical analyses were performed with R version 4.0.5 (R Foundation for Statistical Computing, Vienna, Austria).

Ethics

Ethics approval was obtained from ITM’s Institutional Review Board (1276/18 and 1351/20) and from the Ethics Committee of the University of Antwerp (19/06/058 and AB/ac/003).

The study was carried out according to the principles stated in the Declaration of Helsinki, all applicable regulations and according to the most recent GCP and GCLP guidelines. The Informed Consent Form (ICF) documents were designed in accordance with the requirements of the Helsinki Declaration (2013), the E6 ICH GCP Guidelines (2016) and the Belgian Law on Experiment on the Human Person (2004).

Results

The median age of the 96 participants was 35 (IQR 35–47.5) years (Table 1). Among the employees, two thirds were female. The MSM reported a high rate of partner change and a low rate of condom use, which is compatible with the high incidence of sexually transmitted infections in the PReGo study27. Of the 32 MSM who used antimicrobials in the previous 6 months, 14 (43.8%) used only one class of antimicrobials, 14 (43.8%) used two different classes of antimicrobials, and four (12.5%) participants used three different classes of antimicrobials Supplementary information.

Table 1.

Population characteristics.

Overall (n = 96) Employees (n = 32) MSM who did not use antibiotics (n = 32) MSM who used antibiotics (n = 32) p-value*
Age in years, median (IQR) 35 (35–47.5) 45 (35–55) 45 (35–55) 39 (35–45) 0.21
Male sex, n (%) 74 (77.1) 10 (31.3) 32 (100.0) 32 (100.0) < 0.001
Antibiotic exposure in the previous 6 months, n (%) 32 (33.3) 0 (0.0) 0 (0.0) 32 (100.0) NA
β-Lactams 25 (26.0) NA NA 25 (78.1) NA
Macrolides 19 (19.8) 19 (59.4)
Fluoroquinolones 2 (2.1) 2 (6.3)
Other 8 (8.3) 8 (25.0)
Antibiotic exposure in the previous 1 month, n (%) 7 (7.3) 0 (0.0) 0 (0.0) 7 (21.9) NA
β-Lactams 4 (4.2) NA NA 4 (12.5) NA
Macrolides 0 (0.0) 0 (0.0)
Fluoroquinolones 1 (1.0) 1 (14.3)
Other 2 (2.1) 2 (6.3)
Median number of casual sex partners in the previous 3 months NA NA 10.0 (4.8–15.0) 10.0 (8.0–20.0) 0.12
Used condoms with > 75% of casual anal sex partners in the previous 3 months, n (%) NA NA 9 (28.1) 2 (6.5)a 0.03
Used a mouthwash in the previous 1 month, n (%) 46 (47.9) 15 (46.9) 12 (37.5) 19 (59.4) 0.22
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NA not applicable/not available.

*Kruskal–Wallis rank sum test.

a1 missing value.

Neisseria prevalence

In total 207 Neisseria colonies were isolated, representing seven non-pathogenic and two pathogenic species (Table 2, Fig. 1). In descending order of prevalence, we isolated the non-pathogenic species N. subflava (63/96, 65.6%), N. mucosa (14/96, 14.6%), N. oralis (8/96, 8.3%), N. cinerea (3/96, 3.1%), N. elongata (3/96, 3.1%), N. lactamica (2/96, 2.1%), and N. bacilliformis (1/96, 1.0%). The pathogenic species were N. meningitidis (26/96, 27.1% prevalence), and N. gonorrhoeae (one isolate from a MSM, 1.0% prevalence).

Table 2.

Antimicrobial susceptibility of Neisseria isolates cultured from the oropharynx of 64 STI clinic attendees (men who have sex with men) and 32 employees of the Institute of Tropical Medicine (representing the general population) in Belgium.

Prevalence (n/N)
Participants (%)		 Azithromycin (mg/L)
Median (IQR)		 Ciprofloxacin (mg/L)
Median (IQR)		 Ceftriaxone (mg/L)
Median (IQR)
Pathogenic Neisseria spp. 27/96 (28.1) 0.5 (0.4–0.9) 0.004 (0.003–0.006) < 0.016 (< 0.016–< 0.016)
Neisseria meningitidis 26/96 (27.1) 0.5 (0.3–0.9) 0.004 (0.003–0.005) < 0.016 (< 0.016–< 0.016)
 Employees 2/32 (6.3) 1.0 (0.8–1.3) 0.065 (0.034–0.095) < 0.016 (< 0.016–< 0.016)
 MSM who used AB previous 6 months 9/32 (28.1) 0.8 (0.5–1.5) 0.004 (0.002–0.006) < 0.016 (< 0.016–0.012)
 MSM who used no AB previous 6 months 15/32 (46.9) 0.5 (0.4–0.5) 0.004 (0.003–0.004) < 0.016 (< 0.016–< 0.016)
Neisseria gonorrhoeae 1/96 (1.0) 0.125 2.0 < 0.016
 Employees 0/32 (0.0) – – –
 MSM who used AB previous 6 months 0/32 (0.0) – – –
 MSM who used no AB previous 6 months 1/32 (3.1) 0.125 2.0 < 0.016
Non-pathogenic Neisseria spp. 65/96 (67.7) 3.0 (2.0–7.5) 0.032 (0.016–0.25) 0.047 (0.029–0.064)
Employees 32/32 (100.0) 3.0 (2.0–4.0) 0.023 (0.012–0.064) 0.034 (0.026–0.064)
MSM who used AB previous 6 months 19/32 (59.4) 16.0 (3.0–> 256.0) 0.250 (0.141–0.500) 0.047 (0.032–0.094)
MSM who used no AB previous 6 months 14/32 (43.8) 4.0 (3.0–48.0) 0.125 (0.016–0.380) 0.047 (0.032–0.064)
Neisseria subflava 63/96 (65.6) 3.5 (2.5–16.0) 0.125 (0.016–0.380) 0.047 (0.028–0.064)
 Employees 31/32 (96.9) 3.0 (2.3–4.0) 0.032 (0.016–0.197) 0.035 (0.028–0.052)
 MSM who used AB previous 6 months 13/32 (40.6) 288 (3.5–> 256.0) 0.380 (0.190–0.500) 0.064 (0.032–0.064)
 MSM who used no AB previous 6 months 19/32 (59.4) 4.0 (3.3–72.0) 0.125 (0.022–0.380) 0.047 (0.028–0.126)
Neisseria mucosa 14/96 (14.6) 3.5 (2.3–5.5) 0.016 (0.013–0.030) 0.040 (0.032–0.064)
 Employees 8/32 (25.0) 3.5 (2.8–4.5) 0.017 (0.011–0.025) 0.040 (0.032–0.072)
 MSM who used AB previous 6 months 4/32 (12.5) 3.5 (2.8–6.3) 0.133 (0.015–1.688) 0.040 (0.032–0.051)
 MSM who used no AB previous 6 months 2/32 (6.3) 12.6 (6.9–18.3) 0.016 (0.016–0.016) 0.063 (0.048–0.079)
Neisseria oralis 8/96 (8.3) 2.0 (1.9–3.1) 0.015 (0.012–0.018) 0.056 (0.032–0.064)
 Employees 8/32 (25.0) 2.0 (1.0–3.1) 0.015 (0.012–0.018) 0.056 (0.032–0.064)
 MSM who used AB previous 6 months 0/32 (0.0) – – –
 MSM who used no AB previous 6 months 0/32 (0.0) – – –
Neisseria cinerea 3/96 (3.1) 2.0 (1.5–15.0) 0.012 (0.009–0.022) < 0.016 (< 0.016–< 0.016)
 Employees 3/32 (9.4) 2.0 (1.5–15.0) 0.012 (0.009–0.022) < 0.016 (< 0.016–< 0.016)
 MSM who used AB previous 6 months 0/32 (0.0) – – –
 MSM who used no AB previous 6 months 0/32 (0.0) – – –
Neisseria elongata 3/96 (3.1) 0.5 (0.4–0.6) 0.004 (0.004–0.014) 0.047 (0.035–0.119)
 Employees 3/32 (9.4) 0.5 (0.4–0.6) 0.004 (0.004–0.014) 0.047 (0.035–0.119)
 MSM who used AB previous 6 months 0/32 (0.0) – – –
 MSM who used no AB previous 6 months 0/32 (0.0) – – –
Neisseria lactamica 2/96 (2.1) 1.5 (1.3–1.8) 0.127 (0.096–0.159) < 0.016 (< 0.016–< 0.016)
 Employees 2/32 (6.3) 1.5 (1.3–1.8) 0.127 (0.096–0.159) < 0.016 (< 0.016–< 0.016)
 MSM who used AB previous 6 months 0/32 (0.0) – – –
 MSM who used no AB previous 6 months 0/32 (0.0) – – –
Neisseria bacilliformis 1/96 (1.0) 2 (–) 0.125 (–) 1.5 (–)
 Employees 1/32 (3.1) 2 (–) 0.125 (–) 1.5 (–)
 MSM who used AB previous 6 months 0/32 (0.0) – – –
 MSM who used no AB previous 6 months 0/32 (0.0) – – –
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AB antibiotics, IQR interquartile range, MSM men who have sex with men, STI sexually transmitted infections.

Figure 1.

Figure 1

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Prevalence and richness of Neisseria species, in absolute number of participants from whom the concerning species was isolated, per group. AB antibiotics, MSM men who have sex with men.

The prevalence of non-pathogenic Neisseria was lower among MSM (51.6%) than the employees (100.0%, p < 0.00001, Table 2, Fig. 1), but for the pathogenic Neisseria this was the reverse: N. meningitidis was much more prevalent among MSM (37.5%) than the employees (6.3%, p < 0.01).

MSM who used antimicrobials in the previous 6 months were less often colonised with N. meningitidis (28.1%) than MSM who did not use antibiotics (46.9%), but this difference was not statistically significant (p = 0.20).

Richness of non-pathogenic Neisseria species

Co-colonisation with multiple non-pathogenic Neisseria species was less common among MSM (7.8% were colonised with two species) than the employees (37.5% colonised with two species and 18.8% with three species).

In addition, while all seven non-pathogenic species were isolated from the employees, only two were isolated from MSM: N. subflava and N. mucosa. The richness of non-pathogenic species was thus lower among MSM (median of 1 species, IQR 0–1) than the employees (median of 2 species, IQR 1–2, p < 0.0001).

Susceptibility of non-pathogenic Neisseria

The non-pathogenic Neisseria were significantly less susceptible (higher MICs) to all three antimicrobials than the pathogenic Neisseria (p < 0.0001 for every antimicrobial, Table 2, Fig. 2). The non-pathogenic Neisseria isolated from MSM had significantly higher MICs for azithromycin (7.0 mg/L, IQR 3.0–280.2) and ciprofloxacin (0.250 mg/L, IQR 0.020–0.380) compared to those from the employees (3.0 mg/L, IQR 2.0–4.0, p < 0.0001; and 0.023 mg/L, IQR 0.012–0.064, p < 0.001, respectively; Table 2, Fig. 3). The MICs for ceftriaxone were similar in both groups (0.047 mg/L, IQR 0.032–0.084 in MSM versus 0.034, IQR 0.026–0.064 in the employees, p = 0.3). There were no significant differences in MICs according to recent antimicrobial exposure in MSM. The stratified analysis for N. subflava showed similar findings. The stratified analysis for N. mucosa showed no significant differences in MICs between groups.

Figure 2.

Figure 2

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Minimum inhibitory concentration (MIC, mg/L) of pathogenic versus non-pathogenic Neisseria species isolated from all 96 participants. Numbers represent the number of participants with that specific median MIC per species. Vertical lines indicate the median of median MICs (dashed line) and the EUCAST v.11.0 cutoff for N. gonorrhoeae (dotted line) for each antibiotic.

Figure 3.

Figure 3

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Minimum inhibitory concentration (MIC, mg/L) of non-pathogenic Neisseria species, per group. Numbers represent the number of participants with that specific median MIC per species. Vertical lines indicate the median of median MICs (dashed line) and the EUCAST v.11.0 cutoff for N. gonorrhoeae (dotted line) for each antibiotic.

The sensitivity analysis based on a linear regression model confirmed the association between MSM and higher MICs for azithromycin (aOR 3.31, 95% CI 1.42–7.72), but estimated an additional increase with recent antimicrobial use (aOR 2.99, 95% CI 1.07–8.31).

For ciprofloxacin, the model suggested that the difference in MIC is only driven by higher MICs in those who were recently exposed to antimicrobials (aOR 3.79, 95% CI 1.49–9.59, Table 3). In addition, the model estimated an association between MSM and higher MICs for ceftriaxone (aOR 1.58, 95% CI 1.06–2.35).

Table 3.

Linear regression coefficients for change in geometric mean minimum inhibitory concentrations of non-pathogenic Neisseria for ciprofloxacin, azithromycin and ceftriaxone.

All non-pathogenic Neisseria Number of participants (%) Ciprofloxacin Azithromycin Ceftriaxone
Unadjusted OR (95% CI) AdjustedA OR (95% CI) Unadjusted OR (95% CI) AdjustedA OR (95% CI) Unadjusted OR (95% CI) AdjustedA OR (95% CI)
Population
Employees 32 (33.3) 1 (Ref) 1 (Ref) 1 (Ref) 1 (Ref) 1 (Ref) 1 (Ref)
MSM 64 (66.7) 2.45 (1.14–5.27)* 1.69 (0.78–3.66) 4.38 (1.97–9.77)* 3.31 (1.42–7.72)* 1.66 (1.05–2.61)* 1.58 (1.06–2.35)*
Used antibiotic in the previous 6 months
No 64 (66.7) 1 (Ref) 1 (Ref) 1 (Ref) 1 (Ref) 1 (Ref) 1 (Ref)
Yes 32 (33.3) 3.23 (1.21–8.59)* 3.79 (1.49–9.59)* 2.69 (0.97–7.47) 2.99 (1.07–8.31)* 0.75 (0.42–1.34) 0.75 (0.47–1.21)
Neisseria subflava Number of participants (%) Unadjusted AdjustedA Unadjusted AdjustedA Unadjusted AdjustedA
Population
Employees 31 (49.2) 1 (Ref) NA 1 (Ref) NA 1 (Ref) NA
MSM 32 (50.8) 1.80 (0.75–4.33) NA 4.07 (1.51–10.95)* NA 1.68 (1.06–2.67)* NA
Used antibiotic in the previous 6 months
No 50 (79.4) 1 (Ref) NA 1 (Ref) NA 1 (Ref) NA
Yes 13 (20.6) 3.34 (1.13–9.86)* NA 4.58 (1.35–15.57)* NA 0.78 (0.44–1.38) NA
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CI Confidence Interval, MIC minimum inhibitory concentration, NA not applicable, OR odds ratio.

*Estimate is statistically significant as the CI does not include 1.

AAdjusted for Neisseria species.

Susceptibility of pathogenic Neisseria

For N. meningitidis, most isolates were highly susceptible to all three antimicrobials. According to current EUCAST breakpoints (v. 11.0), one isolate was resistant to ceftriaxone (MIC 1 mg/L) and two participants had isolates with ciprofloxacin resistance (MIC 0.125 and 0.064 mg/L).

The single N. gonorrhoeae isolate in this survey was susceptible to azithromycin (MIC 0.125 mg/L) and ceftriaxone (MIC < 0.016 mg/L) but resistant to ciprofloxacin (MIC 2 mg/L).

Discussion

We found that contemporary oropharyngeal non-pathogenic Neisseria in MSM were less susceptible to antimicrobials than those from employees representing the general population. Recent antimicrobial exposure did not entirely explain the observed differences in susceptibility. This suggests that long-term participant- or population-level antimicrobial exposure plays an important role29. Indeed, MSM in PrEP programs consume a large amount of antimicrobials. One of the main drivers of excessive macrolide and cephalosporin consumption among PrEP users is the practice of screening asymptomatic MSM for gonorrhoea and chlamydia30. In some cohorts, macrolide consumption exceeds 12 defined daily doses per 1000 individuals per day (DID)30. This is multiple times what is consumed by typical general populations and is above the thresholds for inducing macrolide resistance in a range of bacterial species30,31. Reducing the intensity of screening for gonorrhoea and chlamydia among MSM may result in a four-fold decrease in macrolide consumption32.

Although lower than in MSM, the MICs of non-pathogenic Neisseria in the employees were considerably higher than in previous surveys. This is illustrated by N. subflava, the most prevalent species in our survey. A previous analysis of N. subflava isolates from the early 1980s found a considerably lower azithromycin MIC distribution (median 1.0 mg/L, IQR 0.5–2.5 mg/L) than that found in the current employees (median 3.0 mg/L, IQR 2.3–4.0 mg/L)16.

In fact, the antimicrobial susceptibilities of the non-pathogenic Neisseria from the employees in our study were all higher than those from published reports from equivalent studies in the 1960s to the 1990s33–37. Of note, the earliest survey of antimicrobial susceptibility in commensal Neisseria that we could locate, found that 28 clinical isolates of N. cinerea from Germany pre-1961 were highly susceptible to penicillin (MIC range 0.00015–0.0006 mg/L)33. A likely explanation for this decrease in antimicrobial susceptibility over time is the level of antimicrobial consumption by the general Belgian population38. Macrolide consumption, for example, exceeded 3.0 DID in 2018 and 2019, which is well above a threshold of 1.3 DID which may select for resistance in pathogens like S. pneumoniae, M. genitalium, and T. pallidum31,39. Certain features of commensal bacteria suggest that such resistance threshold may even be lower for commensals than for pathogens. Thus, population-level antimicrobial consumption may have selected for circulating commensal Neisseria with elevated MICs (“Supplementary information”).

The prevalence and richness of non-pathogenic Neisseria among MSM in our survey was lower than the employees and much lower than reported among MSM in Vietnam and the USA8,40. These low numbers among Belgian MSM taking PrEP could be explained by the high antimicrobial exposure of this population30. Similar to N. meningitidis, certain species of non-pathogenic Neisseria may be slower to acquire resistance to specific antimicrobials than other species9,13. For example, no isolates of N. elongata, N. lactamica or N. bacilliformis in our study had an azithromycin MIC greater than 2 mg/L, whereas the median azithromycin MIC for N. subflava was 3 mg/L in the employees, 8 mg/L in MSM overall and 288 mg/L in the MSM group that had used antibiotics. This high-level resistance to azithromycin in N. subflava has been linked to the uptake of an msrD gene likely from oral streptococci41. Other Neisseria species have thus far not been found to be able to take up this gene or acquire such high-level resistance to azithromycin41. The higher consumption of antimicrobials in this MSM PrEP cohort could thus have eliminated the most susceptible non-pathogenic Neisseria species and thereby have reduced Neisseria species richness.

Conversely, the prevalence of N. meningitidis in our study was higher among MSM than the employees, which corroborates other reports of N. meningitidis prevalences up to 42.5% among MSM21–24. This exceeds by some margin the prevalence in young adults across the globe42. N. meningitidis is one of the most antimicrobial susceptible Neisseria species, as also observed in our current study43. A number of genetic differences between N. meningitidis and other Neisseria have been shown to underpin the reduced capacity of N. meningitidis to acquire resistance to various antimicrobials44,45.

Indeed, in our study, the prevalence of N. meningitidis in MSM exposed to antimicrobials was almost half that in unexposed MSM. The prevalence of N. meningitidis may thus temporarily decline due to the consumption of antimicrobials (as also shown in other studies21), but soon return to its equilibrium prevalence.

Several processes could explain the higher prevalence of N. meningitidis among MSM compared with members of the general population. One reason may be the high frequency of interpersonal contacts among MSM taking PrEP—like kissing and attending crowded night-clubs—during which transmission may occur21,46. Hypothetically, N. meningitidis may be more transmissible than non-pathogenic Neisseria and may thus outcompete the latter in recolonizing the pharynx after antimicrobial exposure. Lack of competition with other Neisseria species may be another explanation. A number of epidemiological, interventional and in-vitro studies have found evidence of such competition47. As an example, the presence of N. lactamica has been shown to be associated with a lower prevalence of N. meningitidis48–50.

If antibiotics reduced the prevalence of species such as N. lactamica in MSM, this may have left this population more susceptible to colonisation by N. meningitidis.

This study has a number of limitations, including the small sample sizes, single centre design and the fact that the samples were not representative of all MSM or the general Belgian population. Furthermore, two experimental factors of this survey may have caused underestimation of the richness of Neisseria species and the spectrum of their antibiotic susceptibilities. Firstly, the study depended on culturing Neisseria from the posterior oropharynx and tonsils. This design would likely have missed certain non-pathogenic Neisseria that preferentially inhabit other parts of the pharynx51. Future studies could obtain samples by gargling with physiological saline to overcome this problem51. Secondly, only a minority of colonies grown on the agar plates were selected for species identification and MIC determination. We tried to pick at least one of each macroscopically distinct gram negative and oxidase positive colony per plate, but we may have missed particular Neisseria species with phenotypes similar to the sampled colonies. Metagenomic studies may also be a more sensitive way to profile the Neisseria microbiota and resistome than culture-based techniques. Finally, it would be instructive to repeat this study in settings with low population level antibiotic consumption.

In conclusion, we found high levels of resistance to azithromycin, ceftriaxone, and ciprofloxacin in oropharyngeal Neisseria among MSM and employees in Belgium. This finding is worrisome as non-pathogenic Neisseria provide a reservoir of resistance genes that can be readily transferred to pathogenic bacteria.

This AMR is most parsimoniously explained by excessive antibiotic exposure in the general Belgian population, but particularly in the MSM PrEP cohorts. Reduced screening for asymptomatic gonorrhoea and chlamydia may substantially reduce antimicrobial consumption by MSM.

The effect of such a policy change on the prevalence of AMR may be most easily demonstrated in the non-pathogenic Neisseria. Future studies may thus consider conducting regular surveys of antimicrobial susceptibility of non-pathogenic Neisseria in the general population and key populations such as MSM on PrEP as an early warning system of excessive antimicrobial consumption.

Supplementary Information

Supplementary Information. (30.9KB, xlsx)

Acknowledgements

We want to acknowledge all survey participants for their kind participation.

Author contributions

C.K., S.A., E.B., I.D.B., J.L., C.V.D. and S.S.M.B. conceptualized the study. C.K. and C.V.D. collected the samples. S.A., J.L., I.D.B., D.M. and G.S. generated the laboratory results. J.L., C.V.D. and C.K. verified and analysed the data. C.V.D. and J.L. wrote the first draft of the manuscript. All authors reviewed and approved the final manuscript.

Funding

This study was funded by the Belgian Research Foundation - Flanders (FWO 121.00). The funder was not involved in any stage of the study.

Data availability

All deidentified data are available as a Supplement to this manuscript. Additional related documents such as the study protocol, laboratory analysis plan, informed consent form can be obtained from the corresponding author upon reasonable request.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

These authors contributed equally: Jolein Gyonne Elise Laumen and Christophe Van Dijck.

Supplementary Information

The online version contains supplementary material available at 10.1038/s41598-021-03995-1.

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Associated Data

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

Supplementary Materials

Supplementary Information. (30.9KB, xlsx)

Data Availability Statement

All deidentified data are available as a Supplement to this manuscript. Additional related documents such as the study protocol, laboratory analysis plan, informed consent form can be obtained from the corresponding author upon reasonable request.

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