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Agar-Dilution Is Comparable to Broth Dilution for MIC Determination in Streptococcus agalactiae

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02 January 2025

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03 January 2025

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Abstract
Background: Streptococcus agalactiae (Group B Streptococcus, GBS) is a leading cause of neonatal sepsis in high-income countries. While intrapartum antibiotic screening reduces this risk, increasing resistance to macrolides and lincosamides in Europe since the 1990s has limited therapeutic options for penicillin-allergic patients. Reports of reduced beta-lactam susceptibility in GBS further em-phasize the need for robust antimicrobial resistance (AMR) surveillance. However, broth micro-dilution (BMD) methods are unsuitable for large-scale antimicrobial susceptibility testing (AST). Objective: To demonstrate that agar-dilution AST provides equivalent results to broth dilution methods, with superior capacity for high-throughput screening. Methods: Agar-dilution and mi-crodilution AST methods were compared using a panel of 24 characterized susceptible and resistant GBS strains for benzylpenicillin, chloramphenicol, clindamycin, erythromycin, gentamicin, levofloxacin, tetracycline, and vancomycin. Minimum inhibitory concentration (MIC) agreements were evaluated, and resistance profile correlations were assessed using Cohen’s kappa values. Results: Agar-dilution demonstrated >90% agreement with BMD MIC for most antimicrobials, except vancomycin (87.5%), erythromycin (83.33%), and tetracycline (52.78%). Cohen’s kappa values indicated strong agreement (0.88–1.00) for resistance determination. Agar-dilution avoided “trailing growth” issues associated with BMD and facilitated easier detection of non-GBS con-taminants. Conclusions: Agar-dilution is a valid method for high-throughput AMR surveillance of retrospective cohorts (96 isolates per plate) and is critical for identifying emerging GBS resistance trends and informing therapeutic guidelines. However, due to the large number of plates required per antimicrobial, it is impractical for routine clinical diagnostics.
Keywords: 
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1. Introduction

Streptococcus agalactiae, also known as Group B Streptococcus (GBS), is a leading cause of neonatal and infant infections.[1] In neonates, GBS, alongside E. coli, is the most common cause of culture-confirmed sepsis in high-income countries (HIC)[2], with a case fatality rate of 3.4% in term births and 3.7% in cases of extreme prematurity.[3] GBS meningitis is associated with high mortality, and neurological impairments have been documented in 32–44% of surviving neonates.[4]Treating GBS infections promptly and effectively is crucial to reducing mortality and long-term complications.[5,6] The National Institute for Health and Care Excellence (NICE) recommends initiating prophylactic antibiotic treatment within one hour of suspected sepsis diagnosis.
In the UK, guidance from the Royal College of Obstetricians & Gynecologists (Green-top Guidelines [7]) advises against universal GBS screening but recommends providing pregnant women with informational leaflets. Antibiotic therapy should be initiated in cases where GBS was detected in a previous pregnancy, during the current pregnancy, or in the presence of pyrexia during labour. Benzylpenicillin is the first-line treatment, with cephalosporins or vancomycin as alternatives for penicillin-allergic patients.[8] Neonatal treatment typically includes gentamicin combined with either benzylpenicillin or ampicillin. Erythromycin and clindamycin are not recommended.
Antibiotic resistance in GBS is a growing concern globally. The gold standard susceptibility assay is broth microdilution (BMD), as per EUCAST and ISO 20776-1 standards [9,10,11]. However, BMD can be problematic for GBS due to the need for lysed horse blood supplements, which complicate turbidity readings [10]. Use of automated systems (e.g. VITEK2, Phoenix, Microscan WalkAway, etc.) are more common in large clinical microbiology laboratories, perform well on GBS. The use of Kirby-Bauer disc diffusion on solid agar is easier to perform in small scale settings and non-GBS bacterial contaminants are easier to identify on agar. MIC determination using serial antibiotic agar-dilution is not a listed recommended method in EUCAST or CLSI (Clinical and Laboratory Standards Institute) GBS susceptibility testing guidelines. However, it has been used in Belgium and Japan with more than 200 GBS isolates [12,13].
In this study, we compare BMD and agar-dilution methodologies using twenty-four GBS strains from a previously published cohort of UK invasive isolates of known antibiotic susceptibility profiles, correlated to whole genome sequence analysis identifying defined antimicrobial resistance genes (ARGs) [14]. This panel includes a range of fully susceptible strains and strains carrying ARGs for each class of antimicrobial tested (except for penicillin). Results demonstrate that both methods yield comparable outcomes, potentially offering greater flexibility for GBS resistance screening, particularly when examining large retrospective cohorts.

2. Results

Details of the twenty-four GBS strains utilised (including NCTC (National Collection of Type Culture) numbers, ARGs, serotype and sequence type) are listed in Table 1). Quality control strains Streptococcus pneumoniae ATCC (American Typed Culture Collection) 700677 (resistant to erythromycin, penicillin, and tetracycline) and Streptococcus pneumoniae NCTC12977 (susceptible to all) were also run in parallel, as per EUCAST guidelines[15]. All isolates were initially cultured on Colombia Horse Blood Agar (Oxoid, UK) at 37oC under ambient O2 concentrations and single colonies were re-suspended in 3mL sterile 0.85% saline (ThermoFisher Scientific, USA) at a concentration of 0.5 McFarland (1.5 × 108CFU/mL).
Determining minimum inhibitory concentrations (MICs) by assessing bacterial growth turbidity in Mueller-Hinton Fastidious (MH-F) broth was more challenging compared to using standard Mueller-Hinton (MH) broth (e.g., for Escherichia coli) due to "trailing growth" [10], a phenomenon in which the turbidity cut-off for bacterial growth inhibition is unclear, as we consistently observed with MIC determinations for erythromycin. Despite this, good MIC concordance was observed between agar-dilution and broth microdilution (BMD) methods (Figure 1).
Using EUCAST established resistance thresholds (Table 1), all strains positive for tet(L), tet(M), and/or tet(O) were resistant to tetracycline and isolates carrying mutations gyrA S81L and/or parC S79F were resistant to levofloxacin (Figure 1). Isolates carrying mef(A) and msr(D) as sole macrolide resistance genes were consistently identified as resistant to erythromycin (MICs 2–4 mg/L) by both methods. Recently, EUCAST guidelines have changed for chloramphenicol where was 8 mg/L previously set as the threshold of for "resistant" has been altered to "IE" (Insufficient Evidence) in the EUCAST Clinical Breakpoint Tables v. 14.0; however, all strains positive for cat(Q) or cat(C194) were above the previous threshold (Figure 1). While the lowest gentamicin MIC for any GBS isolate is well above a reasonable pharmacokinetic/pharmacodynamic (PK/PD) threshold for clinical intervention (0.5 mg/L) the single isolate carrying aac(6')-aph(2") exhibited a gentamicin MIC >128 mg/L, relative to 16-32 mg/L observed for all other isolates by both methods.
Data for GBS isolates carrying erm(A) and erm(B) methylases showed less consistency: three erm(A)-carrying isolates gave an MIC of 0.25 mg/L (just below the resistance threshold) in one of three BMD replicates, while a single erm(B)-carrying isolate (PHEGBS0738) gave an MIC of 0.25 mg/L for two of three BMD replicates and one of three agar-dilution replicates. Although methylases often require macrolide induction for clindamycin resistance, one of seven erm(A)-carrying isolates and six of seven erm(B)-carrying isolates displayed clindamycin resistance in both methods. An isolate carrying lsa(E) (NCTC14907) was consistently susceptible to clindamycin, with an MIC of 0.25 mg/L for two of three BMD replicates. Additionally, an isolate carrying both lnu(C) and erm(A) (NCTC14903) was consistently clindamycin-susceptible by both methods.
Strain-matched MIC concordance analysis between BMD and agar-dilution (Table 2) demonstrated that most results were within one dilution, regardless of the method. This establishes that agar-dilution is comparable to BMD for MIC determination, with concordance rates mostly ranging from 83–100% across antibiotics and strains tested. Tetracycline was an exception, with only 52% concordance and greater variability between replicates. Notably, tetracycline MICs consistently increased with extended incubation, a phenomenon not observed for other antibiotics.
Evaluation of isolate susceptibility profiles across agar-dilution and BMD methods (Table 3) revealed near-perfect agreement (Kappa value >0.9) for chloramphenicol, clindamycin, erythromycin, and levofloxacin, except for tetracycline. No Kappa values were calculated for benzylpenicillin, gentamicin, and vancomycin due to 100% agreement in susceptibility profiles between methods. Erythromycin, despite its lower concordance (94.44%), still displayed strong agreement (Kappa value 0.8–0.9).

3. Discussion

With a few exceptions, EUCAST recommends the use of the broth microdilution reference method as the AST gold standard, including fastidious organisms, using MH-F [10] Similarly, CLSI also indicate that agar-dilution has not been internally performed or reviewed.[9] However, interrogation of large cohorts against multiple antibiotics by BMD is not feasible, contamination is easier to identify on agar, and avoids “trailing growth”[9] (a well-known phenomenon that complicates BMD determination MICs). There are many reports in the literature determining MICs using agar-dilution,[12,13,16,17] but to date a systematic comparison of BMD and agar-dilution concordance for GBS has not been performed, as Reynolds et al., have done for S. pneumoniae.[18]
Amsler et al., reported a consistent 2-fold (on average) lower MIC for agar-dilution relative to BMD for a combined subgroup of 21 GBS and 18 Streptococcus pyogenes, but with a 98.2% agreement within ±2 log2 dilutions.[19] We did not observe this skewing in our study, except for tetracycline which was also particularly variable, with only 52.78% agreement within ±1 log2 dilution. Greater than 90% agreement, within ± 1 log2 dilution, was observed for all other antimicrobials except erythromycin (83.33%) and vancomycin (87.5%).
The variability in tetracycline MICs remains unexplained, although others have reported that doxycycline degrades in solution with increasing time[20]. The pronounced variability for tetracycline MICs remains unexplained, especially as it was not subject to the “trailing growth” we only consistently observed for erythromycin in BMD. While Reynolds et al.,[18] indicated more variance between BMD and agar-dilution for tetracycline than erythromycin, clindamycin, and levofloxacin, they found still 98.9% agreement when the comparison was extended to ±2 log2 dilutions compared to our 80.5% agreement for the same range.
Tetracycline overuse of the 1960’s left a legacy of most (>90%) GBS carrying tetracycline resistance genes,[21] agar-dilution remains suitable for MIC determination for other therapeutically relevant antimicrobials. This is particularly important when screening large cohorts of GBS isolates in antimicrobial resistance surveillance studies.
In conclusion, we have performed a direct comparison for determining MICs between agar and broth dilution using a defined cohort of GBS isolates with characterised resistance genes or mutations and found excellent concordance for 7 out of 8 antibiotics tested. Agar-dilution may be of utility for routine clinical laboratory use with high sample loads and further studies to evaluate clinical utility may be beneficial. It would be prudent to use agar-dilution for retrospective batch analysis for AMR surveillance, rendering large scale screening manageable for multiple antibiotics to contribute to the evidence-base for resistance trends to inform policy on first- and second-line therapeutics.

4. Materials and Methods

Antimicrobial sensitivity testing was compared using Muller Hinton Fastidious (MH-F) broth (BD, USA) in 96-well plates and MH-F agar (Neogen, USA) in 90 mm petri dishes, both supplemented with 10% lysed horse blood (TCS Biosciences, UK) and β-nicotinamide adenine dinucleotide as per EUCAST guidelines. [10]. MICs were determined for benzylpenicillin, chloramphenicol, clindamycin, erythromycin, gentamicin, levofloxacin, tetracycline and vancomycin (Sigma-Aldrich, UK) at concentration ranges between 0.008-128 mg/L.
For solid agar dilution antibiotic stocks were prepared at 100 mg/ml in either DMSO or water and diluted into three starting stocks of 2560, 80 and 2.5 mg/L. these were then aliquoted into 50 mL falcon tubes to achieve the full serial dilution as shown in Table 4.
Four-hundred and seventy-five mL of MH agar was autoclaved and equilibrated to 50 oC. Once stable at this temperature, 25 mL (final concentration 5%) lysed horse blood and 20 mg/L β-NAD were added and mixed, prior to dispensing 20 mL into individually labelled universal containers containing antimicrobials from Table 4 and resuspending antimicrobial dilutions prior to being poured into square agar plates (120 x 120 mm; Griener). Once plates were solid and allowed to dry thoroughly, a 0.5 McFarland suspension was made for each bacterial isolate to be tested and a 1:10 dilution aliquoted into a sterile 96-well plate. Once all isolates were prepared in the inoculation plate it was placed in a Mast Uri® Dot multipin inoculator (1 μL pin volume) and the prepared agar dilutions plates “stamped” in ascending order (starting with an antimicrobial-free growth control plate). Inoculated plates were allowed to dry at room temperature in the biological safety cabinet 15-30 minutes (to avoid streaking when turned), inverted and incubated for 18 hours at 37 oC then read.
For broth microdilution (BMD), 0.1mL of MH-F broth was added to each well and 0.1mL containing 256 mg/L antibiotic was added to the first row, mixed and then serially transferred across the plate to give a gradient of 128-0.008 mg/L, with the exception of the last two rows (penultimate row represents antibiotic free growth control and last row left for bacteria-free MH-F broth sterility control). Plates were incubated at 37 oC overnight without CO2 and BMD results were read using a light box as per EUCAST guidelines. All experiments were conducted in triplicate.
MIC thresholds for resistance are listed in Table 5. Ethical approval was not required as only NCTC or ATCC deposited type strains were used. Data was analysed by overall percentage concordance, fold-change in MICs between repeats, and by Cohen’s kappa to measure agreement of resistance profiles.

5. Conclusions

We have shown an acceptable level of concordance between agar-dilution and broth microdilution methods to establish the former as an acceptable and valid alternative to the latter method for AST. Agar dilution is a superior method for high-throughput AMR surveillance of retrospective cohorts as up to 12 different antimicrobials can easily be performed on 96 isolates per inoculation plate. We recognise that agar dilution would be impractical for routine clinical diagnostic use, due to the requirement of individual plates to establish a range of antimicrobials; however, agar dilution would be the method of choice where evaluation of retrospective cohorts would lend itself to identifying emerging GBS resistance trends and informing therapeutic guidelines.

Author Contributions

Conceptualization, OBS and VJC; methodology, EARP; validation and formal analysis CF and EARP; investigation, CF and EARP; resources, OBS, SJB and AE; data curation, JC; writing—original draft preparation, TI and EARP; writing—review and editing, all authors; supervision, OBS; project administration, JC; funding acquisition, VC, SJB, AE. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the United Kingdom Health Security Agency (Juno project)

Institutional Review Board and Informed Consent Statement

Ethical approval was not required as only NCTC or ATCC deposited type strains were used for the investigations and horse blood products were supplied by commercial sources.

Data Availability Statement

Data available from corresponding author on request. All isolates available from public culture repositories, ENA references for genomic sequences have been provided for access through public database repositories.

Conflicts of Interest

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

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Figure 1. MIC determination for 24 GBS isolates using agar-dilution (closed circle) or BMD (open square) methods. Thresholds for resistance cut-off are shown (*Gentamicin details pK/pD values as EUCAST breakpoints are not available, and V14.0 EUCAST guidelines has downgraded the chloramphenicol threshold to IE for insufficient evidence). Antibiotic test range was 0.008-128 mg/L except for clindamycin (0.008->4 mg/L as indicated on graph). The arrow indicate ermA isolates that fell below the accepted resistance threshold concentration.
Figure 1. MIC determination for 24 GBS isolates using agar-dilution (closed circle) or BMD (open square) methods. Thresholds for resistance cut-off are shown (*Gentamicin details pK/pD values as EUCAST breakpoints are not available, and V14.0 EUCAST guidelines has downgraded the chloramphenicol threshold to IE for insufficient evidence). Antibiotic test range was 0.008-128 mg/L except for clindamycin (0.008->4 mg/L as indicated on graph). The arrow indicate ermA isolates that fell below the accepted resistance threshold concentration.
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Table 1. Isolates used for agar and broth comparison.
Table 1. Isolates used for agar and broth comparison.
NCTC number Resistance genes Original reference Serotype Sequence type
14894 erm(A) tet(M) PHEGBS0044 Ia ST23
14895 erm(A) tet(M) PHEGBS0066 III ST17
14896 mef(A) msr(D) tet(M) PHEGBS0067 Ia ST23
14897 mef(A) msr(D) tet(M) PHEGBS0070 Ia ST23
14898 lsa(C) erm(B) tet(M) tet(O) PHEGBS0071 III ST19
14899 erm(A) tet(M) PHEGBS0082 V ST1
14900 erm(A) tet(O) PHEGBS0091 II ST12
14901 erm(A) tet(M) PHEGBS0098 V ST1
14902 erm(B) tet(M) PHEGBS0128 V ST1
14903 aac(6') aph(2"), erm(A) lnu(C) tet(M) PHEGBS0139 V ST19
14904 None PHEGBS0408 II ST28
14905 None PHEGBS0446 VI ST1
14906 None PHEGBS0491 II ST12
14907 lsa(C) tet(M) PHEGBS0511 IV ST297
14908 ant(6-Ia) aph(3'-III), aadE , erm(B) msr(D) mef(A) tet(O) PHEGBS0577 III ST17
14909 tet(L) tet(M) PHEGBS0586 II ST652
14910 erm(B) tet(M) PHEGBS0592 V ST1
14911 erm(A) msr(D) mef(A) tet(M) catQ PHEGBS0599 V ST19
14912 erm(B) tet(O) tet(M) PHEGBS0608 II ST28
14913 erm(B) ant(6-Ia) aph(3'-III) tet(S) PHEGBS0624 VI ST1
14914 erm(B) tet(M) ant(6-Ia) aph(3'-III) cat(C194) PHEGBS0662 V ST19
14915 erm(B) msr(D) mef(A) tet(O) ant(6-Ia) aph(3'-III)aadE PHEGBS0738 III ST130
n/a None PHEGBS0359 II ST19
n/a erm(B) tet(M) PHEGBS0595 V ST19
ATCC 49619 1 S. pneumoniae susceptible control strain
ATCC 700677 S. pneumoniae resistant control for macrolides, penicillin, tetracycline
1 Quality control strains were obtained from the American Type Culture Collection (ATCC).
Table 2. MIC method concordance by antimicrobial with concordance defined as equal to +/- one dilution of the mode (highlighted in bold). All data points performed in triplicate.
Table 2. MIC method concordance by antimicrobial with concordance defined as equal to +/- one dilution of the mode (highlighted in bold). All data points performed in triplicate.
MIC fold dilution for agar versus BMD
Antimicrobial -3 -2 -1 0 1 2 3 >+3 % within ± log2 dilution
Benzylpenicillin 10 36 19 7 90.28
Chloramphenicol 3 8 56 5 95.83
Clindamycin 2 30 34 3 3 93.06
Erythromycin 2 8 31 21 10 83.33
Gentamicin 4 30 38 100.0
Levofloxacin 3 39 29 1 98.61
Tetracycline 3 19 24 9 5 1 5 6 52.78
Vancomycin 15 48 9 87.50
Table 3. Concordance and agreement of susceptibility profiles obtained by agar and broth antibiotic susceptibility testing demonstrated by the percentage of repeats with matching susceptibility profiles. Cohen’s kappa statistic given for agreement strength.
Table 3. Concordance and agreement of susceptibility profiles obtained by agar and broth antibiotic susceptibility testing demonstrated by the percentage of repeats with matching susceptibility profiles. Cohen’s kappa statistic given for agreement strength.
Antibiotic Susceptibility profiles
(Agar-Broth)
% Concordance (SS, II, RR) Kappa Agreement Strength
SS RS SR RR II
Chloramphenicol 62 1 9 98.61 0.94 High
Clindamycin 54 1 17 98.61 0.96 High
Erythromycin 22 4 46 94.44 0.88 Moderate
Levofloxacin 9 63 100.00 1 High
Tetracycline 15 57 100.00 1 High
Table 4. Concordance.
Table 4. Concordance.
Primary stock mg/L μL of stock added to 20 ml End concentration mg/L
2560 2000 256
2560 1000 128
2560 500 64
2560 250 32
2560 125 16
2560 62.5 8
80 1000 4
80 500 2
80 250 1
80 125 0.5
80 62.5 0.25
2.5 1000 0.125
2.5 512 0.064
2.5 256 0.032
2.5 128 0.016
2.5 64 0.008
Table 5. Breakpoints used to establish resistance based on EUCAST guidelines (where available).
Table 5. Breakpoints used to establish resistance based on EUCAST guidelines (where available).
Antimicrobial Sensitive Increased Resistant
Benzylpenicillin ≤0.25 - >0.25
Chloramphenicol* ≤8 - >8
Clindamycin ≤0.5 - >0.5
Erythromycin ≤0.25 - >0.25
Levofloxacin ≤0.001 0.002-2 >2
Gentamicin* >0.5
Tetracycline ≤1 - >1
Vancomycin ≤2 - >2
1 * EUCAST MIC breakpoints given in mg/L; where available for EUCAST v.14.0. *Gentamicin given as pK/pD clinical threshold values as MIC breakpoints are not available. Antibiotic test range was 0.008 - 128mg/L except for clindamycin (0.008-4 mg/L).
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