Meningococcal B vaccine antigen FHbp variants among disease-causing Neisseria meningitidis B isolates, Italy, 2014–2017

Abstract

Background

Typing of Neisseria meningitidis isolates is crucial for the surveillance of invasive meningococcal disease (IMD). We performed a molecular epidemiology study of N. meningitidis serogroup B (MenB) causing IMD in Italy between 2014 and 2017 to describe circulating strains belonging to this serogroup, with particular regards to the two factor H-binding protein (FHbp) subfamilies present in the bivalent MenB vaccine.

Materials and methods

A total of 109 culture positive and 46 culture negative MenB samples were collected within the National Surveillance System (NSS) of IMD in Italy and molecularly analyzed by conventional methods.

Results

Overall, 71 MenB samples showed the FHbp subfamily A and 83 the subfamily B. The subfamily variants were differently distributed by age. The most frequent variants, A05 and B231, were associated with cc213 and cc162, respectively. All MenB with the FHbp A05 variant displayed the PorA P1.22,14 and 85.7% of them the FetA F5-5. The majority of MenB with the FHbp B231 variant showed the PorA P1.22,14 (65.4%) and 84.6%, the FetA F3-6.

Conclusion

MenB circulating in Italy were characterized by a remarkable association between clonal complex and FHbp variants, although a high degree of genetic diversity observed over time. A dynamic trend in clonal complexes distribution within MenB was detected. Our results stress the importance of continued meningococcal molecular surveillance to evaluate the potential vaccine coverage of the available MenB vaccines.

About the Authors:

Anna Carannante

Roles Data curation, Formal analysis, Methodology, Writing – original draft, Writing – review & editing

Affiliation: Department Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy

Cecilia Fazio

Roles Formal analysis, Methodology, Writing – review & editing

Affiliation: Department Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy

Arianna Neri

Roles Formal analysis, Methodology, Writing – review & editing

Affiliation: Department Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy

Florigio Lista

Roles Formal analysis, Writing – review & editing

Affiliation: Scientific Department, Army Medical Center, Rome, Italy

Silvia Fillo

Roles Formal analysis, Writing – review & editing

Affiliation: Scientific Department, Army Medical Center, Rome, Italy

Andrea Ciammaruconi

Roles Formal analysis, Writing – review & editing

Affiliation: Scientific Department, Army Medical Center, Rome, Italy

Paola Vacca

Roles Formal analysis, Methodology, Writing – review & editing

Affiliation: Department Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy

Paola Stefanelli

Roles Conceptualization, Data curation, Funding acquisition, Investigation, Project administration, Supervision, Validation, Writing – original draft, Writing – review & editing

* E-mail: [email protected]

Affiliation: Department Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy

ORCID logo https://orcid.org/0000-0003-1620-4385

Introduction

In Italy, invasive meningococcal disease (IMD), which includes septicemia, meningitis, or both, develops in 0.28 persons/100,000 population in 2018 (http://old.iss.it/mabi/). Patients with IMD may have nonspecific symptoms early in the disease, but their condition can deteriorate rapidly. Therefore, vaccination represents the optimal strategy for the prevention of IMD [1, 2]. N. meningitidis serogroup B (MenB) today represents the main serogroup circulating in several European countries [3] including Italy (http://old.iss.it/binary/mabi/cont/Interim_Report_2018_finale.pdf) given the widespread use of recommended meningococcal C vaccination in the country [4]. The factor H-binding protein (FHbp), also referred as GNA1870 (Genome-Derived Neisseria Antigen 1870) or LP2086 (lipoprotein LP2086) [5–7], included in the 4CMenB vaccine [8, 9] and in the bivalent MenB vaccine [10, 11], induces serum bactericidal antibodies. FHbp, due to its ability to specifically bind to factor H of the human complement regulatory protein and to inhibit the alternative complement pathway [7, 12], may improve the survival of N. meningitidis in human blood. Furthermore, FHbp, based on the variation of the amino acid sequence, can be divided into two subfamilies, A and B [10, 13] with the 83%-99% sequence identity within and the 60–75% between subfamilies, while by other authors FHbp is classified in three variants (v.1, v.2 and v.3) [5].

The FHbp variants included in the MenB bivalent vaccine are B01 (v1.55) and A05 (v3.45); whereas, B24 (v1.1) variant is contained in the 4CMenB vaccine [7]. Several studies are ongoing to evaluate the ability of new MenB vaccine formulations to prevent the carriage status among adolescents and adults as a major contributing factor to herd protection in a population [14, 15].

With the growing public health concern associated with meningococcal disease caused by MenB, it is important to investigate the molecular epidemiology of disease-causing N. meningitidis strains and to identify variants of FHbp from those N. meningitidis belonging to different clonal complexes.

In the present study, we investigated the two FHbp subfamilies present in the MenB bivalent vaccine. The percentage, the distribution, and the diversity patterns of FHbp variants were assessed among culture positive and culture negative MenB causing IMD in Italy from 2014 to 2017. The sequence type (ST), clonal complex (cc), PorA and FetA types and the age of the patients, were also included.

Materials and methods

Surveillance of invasive meningococcal disease

The National Surveillance System (NSS) for IMD is based on mandatory reporting to the Ministry of Health and to the Italian Institute of Public Health (Istituto Superiore di Sanità, ISS, http://www.iss.it/mabi). The ISS, as National Reference Laboratory (NRL) is the coordinator of the NSS, as already reported [16].

Data were analyzed using EpiInfo software (version 3.5.3, 26 January 2011).

Ethics statement

For this study, the samples were in respect of the ethical requirement and no patient identification information was presented in the study.

Bacterial culture and serogroup identification

Isolates were cultured on Thayer-Martin agar plates with IsoVitaleX 2% (Oxoid, Ltd.) in 5% CO2 atmosphere at 37°C. The serogroup was identified by slide agglutination with commercial antisera (Thermo Scientific, Waltham, Massachusetts, USA) or by multiplex PCR on bacterial DNA extracted using the QiAmp mini kit (Qiagen, Hilden, Germany) [17], from an overnight culture or directly from clinical sample.

Whole genome sequencing

For each culture positive sample, 1 ng of DNA was used for preparing libraries following the Nextera XT DNA protocol in Illumina MiSeq platform (kit v3, 600 cycles). A first quality check of the raw sequence data was performed using FastQC [18]. Reads were trimmed using the software Sickle [19] to maintain a Q score >25, and de novo assembly was carried out with the ABySS software version 1.5.2 (k parameter = 63) [20]. Contigs longer than 500 bp were selected using an ad hoc script and kept for further analysis. The final assembly ranged from 84 to 316 (median: 209) contigs per sample (N50: 10,999–59,092 bp; median: 19,790 bp), covering the ca 2.2 Mb of the N. meningitidis genome.

Multilocus sequence typing (MLST), PorA, FetA and FHbp analysis

For culture positive samples, multilocus sequence typing (MLST), PorA, FetA and FHbp typing were identified in silico using WGS data through PubMLST.org database (http://pubmlst.org/neisseria/).

For culture negative samples, seven housekeeping genes (abcZ, adk, aroE, fumc, pgm, pdhc and gdh) together with porA, fetA and fHbp genes were amplified referring to PCR conditions available on the PubMLST.org database or using primers and amplification parameters as already described [21]. PCR was performed using Veriti 96 well instrument (Applied Biosystem, Foster City, USA) or Mastercycler personal (Eppendorf, Hamburg, Germany). Multiple sequence and amino acid alignments were performed using Chromas version 1.15 and Clustal Omega web-site (https://www.ebi.ac.uk/Tools/msa/clustalo/).

The PubMLST.org database was used to identify allele types, the FHbp subfamilies A and B and their variants and to submit new sequences for fHbp gene. Moreover, the PubMLST.org database was used to submit new alleles of MLST loci and STs.

Results

Meningococcus of serogroup B causing invasive disease

In the period 2014–2017, 174 MenB samples were sent to ISS within the NSS, of which 155 were analyzed: 19, in fact, were unsuitable for molecular analyses due to limited sample volume or to a low DNA concentration. Among the 155, 109 were culture positive and 46 culture negative. Seventy-three were from IMD cases presenting meningitis and 33 septicaemia, 21 meningitis and septicaemia. For 28 samples, the data was not available.

Clonal complexes

MLST were obtained for 151 samples; 134 of them belonged to a known clonal complex (cc), for 17 the cc was not assigned. The main ccs identified were: cc162 (34/134; 25.4%), cc41/44 (27/134 = 20%) and cc213 (20/134; 15%) followed by cc269 (15/134; 11.2%).

The majority of MenB belonged to cc162 and reached the highest value in 2016 (n = 15; 44.1%); 8 Sequence Types (STs) were identified within the cc162: ST-162, ST-9465, ST-8087, ST-10812, ST-9293, ST-5573, ST8955 and ST-12193. The ST-162 was the predominant (n = 22).

MenB of cc41/44 decreased from 40.7% (n = 11) in 2014 to 26% (n = 7) in 2017and included 15 different STs. The ST-414 (n = 5) and ST-1403 (n = 5) were the most common STs.

MenB belonging to cc213 increased from 30% (n = 6) in 2016 to 55% (n = 11) in 2017 and ST-213, ST-9197 and ST-3496 were identified.

Finally, the MenB cc269 decreased from 26.6% (n = 4) in 2014 to 13.3% (n = 2) in 2016 but increased in 2017 reaching the 33.3% (n = 5). Eleven STs were identified within the cc269 and the ST-269 (n = 3), the ST-1163 (n = 2) and the ST-8554 (n = 2) as the main STs.

FHbp subfamilies A and B

FHbp subfamily A in 71 MenB and FHbp subfamily B in 83 MenB were identified. One sample resulted a hybrid, FHbp A/B subfamily.

As shown in Fig 1I, 22 variants of subfamily A were found. The A05 variant was the most frequent (n = 14; 19.7%), followed by A06 (n = 10; 14.1%) and A22 (n = 10; 14.1%).

[Figure omitted. See PDF.]

Fig 1.

I) Distribution of variants belonging to FHbp subfamily A among 71 MenB. II) Distribution of variants belonging to FHbp subfamily B among 83 MenB.

https://doi.org/10.1371/journal.pone.0241793.g001

MenB showing the A05 variant were collected from 2014 to 2017, except for 2015, and the higher number was detected in 2017 (n = 8), (Fig 2). The A05 (n = 14) was associated with cc213, (Fig 3). The A06 and A22 were identified over the 4-years of surveillance (Fig 2), most of them associated with cc461 (n = 9) and cc41/44 (n = 6), respectively (Fig 3).

[Figure omitted. See PDF.]

Fig 2. FHbp variants by year.

Variants for each subfamily were included; a total of 11 for subfamily A and 10 for subfamily B. Variants represented by one sample (singleton) were not included. (^In brackets the number of culture positive and negative MenB samples).

https://doi.org/10.1371/journal.pone.0241793.g002

[Figure omitted. See PDF.]

Fig 3. FHbp variants by clonal complexes.

Variants represented by one sample (singleton) were not included.

https://doi.org/10.1371/journal.pone.0241793.g003

Among the subfamily A, the A181, A182 and A184 were here identified and deposited in the Neisseria org web site (http://pubmlst.org/neisseria/). The A184, corresponding to fHbp allele 1482, presented an internal stop codon.

Fig 1II shows the 20 variants of subfamily B. The B231 (n = 27; 32.5%) was the most frequent, followed by B03 (n = 11; 13.2%) and B24 (n = 9; 10.8%).

B231 was identified through the period with a peak in 2016 (n = 12; Fig 2); all of them were associated with the cc162 (n = 26; Fig 3). One culture negative sample was not enough to obtain the cc result. The B03 variant was detected up to 2016, whilst B24 from 2014 to 2017 with the higher number in 2016 (n = 4; Fig 2). B03 and B24 variants associated mostly to cc41/44 (n = 9) and to cc32 (n = 5), respectively (Fig 3).

Within the subfamily B, FHbp variant B257 was here identified and deposited in the Neisseria org web site (http://pubmlst.org/neisseria/).

FHbp subfamily A and B variants by age groups

Fig 4, panel I and II, shows the distribution of the subfamily A and B variants by age groups. The age groups were those indicated in the IMD NSS report (http://www.iss.it/mabi).

[Figure omitted. See PDF.]

Fig 4.

Distribution of the main FHbp subfamily A (n = 11; panel I) and B (n = 10; panel II) variants by age groups. Variants represented by one sample (singleton) were not included.

https://doi.org/10.1371/journal.pone.0241793.g004

Variants represented by one sample (singleton) were not included.

The majority of the subfamily A variants were detected among MenB collected from young adults and adults (age group 25‒64 years, n = 29; 40.8%), including the main variants A05 (n = 5), A06 (n = 7) and A22 (n = 5). The second large group of subfamily A variant (n = 13; 18.3%) was identified among MenB samples from infants less than 1 year of age followed by children (age group 1–4 years, n = 8; 11.3%) (Fig 4I).

The three variants, A181, A182 and A184 were found in MenB collected from patients belonged to age group15-24 years (A181) and age group <1 year (A182 and A184), (Fig 4I).

The majority of the subfamily B variants were detected among MenB collected from adolescents and young adult (age group 15‒24 years, n = 23; 27.7%). In this age group, 7 of 23 showed the B24 and 5 of 23 the B231 variants.

Additionally, B231, the most frequent, was present mainly among MenB collected from infant and children (age group 0‒9 years, n = 16; 59.2%). The remaining B231 variants were found among samples obtained from patients aged between 25–64 years (n = 4), 10–14 years (n = 1) and >64 years (n = 1), (Fig 4II).

The B03 variant was present among MenB collected in all patient age-groups, except for 10‒14 years, (Fig 4II).

FHbp subfamily A and B variants by PorA, FetA, cc and ST

Table 1I and 1II shows the FHbp subfamily A and subfamily B by PorA (P1.VR1,VR2), FetA, cc and ST.

[Figure omitted. See PDF.]

Table 1. FHbp subfamily A (I) and subfamily B (II) variants by PorA, FetA, cc and ST.

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Within the subfamily A, all MenB (n = 14) with variant A05, displayed the PorA P1.22,14 and the majority of them the FetA F5-5 (n = 12; 85.7%), (Table 1). These samples belonged to cc213, represented by ST-213, as the predominant (n = 10; 71.4%), and by ST-9197 and ST-3496. Samples with A06 variant were mainly associated to P1.18–1,3 (n = 3) and to P1.19–2,13–1 (n = 3), the FetA F3-9 (n = 9; 90%) and cc461 (n = 9; 90%), with ST-1946 as the predominant (n = 7; 70%), (Table 1I).

The majority of MenB with the A22 variant belonged to cc41/44 (n = 7; 70%) of which ST-414 as the main ST (n = 4; 40%), (Table 1I). Several PorA and FetA alleles were found in association with A22 variant.

As shown in the Table 1I, A181 variant was found together with PorA P1.7–2,4, FetA F4-1 and ST-11848 (the cc was not assigned); A182 variant with PorA P1.22,14, FetA F5-5, cc213 and ST-3496; and A184 variant with PorA P1.22,14–6, FetA F1-5, cc41/44 and ST-6349.

The majority of MenB with the variant B231, displayed the PorA P1.22,14 (n = 17; 65.4%) and the FetA F3-6 (n = 22; 84.6%) (Table 1II) and belonged to cc162 (n = 26), with the ST-162 as the predominant ST (n = 20; 77%).

B03 variant was mainly associated with PorA P1.7–2,4 (n = 3), FetA F1-2 (n = 3) and cc41/44 (n = 9) with the ST-1403, as the predominant (Table 1II).

Finally, those showing B24 variant showed mainly PorA P1.19,15 (n = 2) or P1.19,15–23 (n = 2), associated with FetA F5-1 (n = 4) and belonged to cc32 (n = 5; 55.5%) including ST-32, ST-33 and ST-34 (Table 1II). The MenB with the new variant, B257, showed PorA P1.22,14, FetA F5-5, cc213 and ST-213 (Table 1II).

Discussion

Neisseria meningitidis of serogroup B represents an major challenge in the prevention and control of invasive meningococcal disease due to this serogroup [1, 2, 4].

In this report, we provide the results of a molecular study conducted in Italy in a 4-years period, from 2014 to 2017, on the N. meningitidis strains of serogroup B causing invasive meningococcal disease and the vaccine antigen FHbp variants.

In Italy, in 2018, the incidence of MenB accounted for 0.12 cases per 100,000 inhabitants in the overall population, with a case fatality rate of 8.6%. A higher incidence of MenB was observed in the age group less than 1 year of age (1.53 cases per 100,000 inhabitants), in the age groups 10–14 (0.10 cases per 100,000 inhabitants) and 15–24 (0.25 cases per 100,000 inhabitants) years of age, data from the Italian National Surveillance System. An outbreak of MenB has described in Italy due to the switch from C to B of cc11 strain [22].

In this epidemiological situation due to its growing importance, vaccination against MenB should be considered. The National Immunization Plan (2017–2019) recommends this vaccination for infants less than one year of age and is offered free of charge [4]. In some Italian Regions, the recommendation of MenB vaccination has also been extended to other age groups (i. e. from 10 to 11 or from 11 to 12 or at 13 years of age) [23–25].

The main clonal complexes (ccs) characterizing the MenB collected in Italy suggest a dynamic trend in their distribution. For example, an increase of MenB cc213 and cc162 has been observed, while MenB belonging to cc41/44 decreased from 40.7% in 2014 to 26% in 2017.

Overall, all MenB harbored the fHbp subfamilies A or B. Seventy-one (45.8%) MenB showed the FHbp subfamily A and 83 (53.5%) the subfamily B. One sample resulted a hybrid, FHbp A/B subfamily. The distribution of the FHbp subfamilies seems to be different from what described elsewhere. Recently, in Canada [26] 63% of MenB was associated with FHbp subfamily B as well as reported in the United States, Europe, New Zealand, and South Africa [27, 28] where, combining all countries, the overall subfamily distribution was about 70% of subfamily B versus 30% subfamily A.

In this study, FHbp subfamily A was represented by 22 variants among the MenB analyzed; A05 (v3.45) variant was the most frequent (19.7%), followed by the A06 (14.1%) and A22 (14.1%). In particular, the A05 variant was the only variant identified among the meningococci belonging to cc213. As a reminder, this variant is one of two included in the bivalent MenB vaccine.

Among the 20 FHbp subfamily B variants, the main one was B231 (n = 27; 32.5%), followed by B03 (n = 11; 13.2%) and B24 (n = 9; 10.8%), also called v1.1 and included in the 4CMenB vaccine. The B231 variant was associated with meningococcal strains of cc162. In the samples collection here analyzed, B01 (v1.55), a component of the bivalent MenB vaccine, was not detected.

FHbp subfamily variants were distributed differently according to the age of the infected patients. MenB collected from young adults and adults (age group 25‒64 years) showed a high percentage of subfamily A variants (40.8%), including major variants, A05, A06 and A22. A second large group of subfamily A variants was found between MenB from infants less than one year of age (18.3%) and children 1–4 years old (11.3%). Subfamily B appears to be more distributed across all age groups with slightly different in percentage by variant. Of note, the most frequent subfamily B variant, B231, was mainly present among MenB isolated from infant and children (52.9%).

Hereby, a remarkable association has been observed between clonal complexes and FHbp variants and as previously described [27, 29–31] in some cases also with PorA allele (e.g. 100% of A05 MenB belonged to cc213 and showed PorA P1.22,14 and the 100% of B231 MenB belonged to cc162). The opposite is not always true, as neither PorA nor MLST predict the FHbp variant. Furthermore, to strengthen the association between clonal complexes and FHbp variants, B24 was always identified with cc32 and the majority of B44 with cc269, as already reported [26, 31].

The FetA variants were characterized by high antigenic diversity without any specific association with the FHbp variant.

One limitation concerns the analysis and subsequent evaluation of MenB as potentially susceptible to the MenB-FHbp vaccine as the results presented here are limited exclusively to the analysis of genetic data. In fact, the meningococcal antigen surface expression (MEASURE) assay to quantify FHbp expression, as a correlation to susceptibility to bactericidal killing [32], has not yet performed in the sample collection described. However, the presence of these variants among the Italian MenB and the sequence identity identify within the subfamilies (83%-99%) and across them (60–75%) [10, 27], is an important result to be considered in the use of the bivalent MenB vaccine.

Although relatively rare, N. meningiditis infection has long been recognized as a significant public health concern due to the high rates of morbidity and mortality associated with invasive meningococcal disease. Furthermore, outbreaks due to this pathogen are not uncommon and MenB continues to be a significant cause of disease in adolescents and young adults. Dynamic changes may occur in some variants, highlighting the need for ongoing molecular surveillance to recognize the emergence and expansion of new clones, especially those with new variants, and to investigate and possibly predict vaccine failures.

To conclude, the main findings were: i) a high degree of genetic diversity within serogroup B meningococci over time; ii) the detection of one of two subfamily FHbp variants included in the bivalent vaccine; iii) most of the MenB were characterized by clonal complexes common through the world and by a correlation between clonal complexes and the FHbp variant.

The study highlighted the need for continuous surveillance of circulating MenB and to molecularly characterize the genes encoding vaccine antigens, i.e. FHbp variants, to follow temporal changes in their distribution for further evaluation of vaccine composition and vaccination programs.

Acknowledgments

We would like to thank the IMD surveillance network: Richard Aschbacher (Microbiology and Virology Laboratory, Azienda Sanitaria dell’Alto Adige, Bolzano, Italy), Anna Maria Barbui (Microbiology and Virology Laboratory, Molinette Hospital, Turin, Italy), Paola Bernaschi (Microbiology Laboratory, Bambino Gesù Hospital, Rome, Italy), Marina Busetti (Microbiology Unit, University Hospital of Trieste, Trieste, Italy), Paola Canepa (Department of Health Sciences, University of Genova, Hygiene Unit "Polyclinic Hospital San Martino", Genova, Italy), Paolo Castiglia (Università di Sassari, Sassari, Italy), Maria Chironna (Biomedical Sciences and Human Oncology Department–Hygiene Section, University Hospital, Bari, Italy), Laura Daprai (Microbiology and Virology Unit, Fondazione IRCCS Ca’ Grande Ospedale Maggiore, Milan, Italy), Rosella De Nittis (Clinical Pathology Department, University Hospital, Foggia, Italy), Rita De Rosa (Microbiology and Virology Unit, S. Maria degli Angeli Hospital, Pordenone, Italy), Antonino Di Caro (Microbiology section, Istituto Nazionale per le Malattie Infettive “L. Spallanzani”, Rome, Italy), Carlotta Dodi (Microbiology Unit, “San Giuseppe” Hospital, Empoli, Italy), Teresa Fasciana (Dept. of Sciences for Health Promotion and Mother and Child Care “G. D’Alessandro”, University of Palermo, Italy), Irene Alessandra Galanti (Microbiology Laboratory, Azienda USL Toscana sud est, Arezzo, Italy), Anna Giammanco (Dept. of Sciences for Health Promotion and Mother and Child Care “G. D’Alessandro”, University of Palermo, Italy), Elena Giunta, “Papardo” Hospital, Messina, Italy, Paola Gualdi (Operative Unit of Clinical Pathology, Rovereto Hospital, Rovereto, Italy), Patrizia Innocenti (Microbiology and Virology Laboratory, Azienda Sanitaria dell’Alto Adige, Bolzano, Italy), Maria Labonia (IRCCS Casa Sollievo della Sofferenza Hospital, San Giovanni Rotondo (Foggia), Italy), Paolo Lanzafame (Microbiology and Virology Unit, Provincial Health Services, S. Chiara Hospital, P.A. Trento, Italy), Daniela Lombardi (SeREMI, ASL AL, Alessandria, Italy), Antonella Mencacci (Medical Microbiology Section, Dept. of Medicine, University of Perugia, Perugia, Italy), Maria Moriondo (Laboratory of Immunology and Infectious Diseases, Anna Meyer Children's University Hospital, University of Florence, Florence, Italy), Francesca Orecchioni (Ospedali Riuniti, Ancona, Italy), Elisabetta Pagani (Microbiology and Virology Laboratory, Azienda Sanitaria dell’Alto Adige, Bolzano, Italy), Elena Poma (“San Martino” Hospital, Oristano, Italy), Eleonora Riccobono (Clinical Microbiology and Virology Unit, Careggi University Hospital, Firenze, Italy), Lucia Rossi (Microbiology and Virology Unit, University Hospital, Padova, Italy), Gianmaria Rossolini (Clinical Microbiology and Virology Unit, Careggi University Hospital, Firenze, Italy), Lia Sisino (Microbiology Unit, “G. Mazzini” Hospital, Teramo, Italy), Graziella Soldato (Microbiology Unit, Pescara Hospital, Pescara, Italy), Teresa Spanu (Microbiology and Infectious Diseases Unit,”A. Gemelli” University Hospital, Roma, Italy), Carlo Tascini (First Division of Infectious Diseases, Cotugno Hospital, AORN dei Colli, Naples, Italy), Francesco Usai (SS. Trinità Hospital, Cagliari, Italy), Caterina Vocale (Unit of Clinical Microbiology, Regional Reference Centre for Microbiological Emergencies, St. Orsola Malpighi University Hospital, Bologna, Italy), Antonella Vulcano (Microbiology section, Istituto Nazionale per le Malattie Infettive “L. Spallanzani”, Rome, Italy) for samples and clinical data. We also thank Maria Grazia Caporali and Flavia Riccardo (Department of Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy) for the collaboration in the National Surveillance System of Invasive Bacterial Diseases and for the data collection at Istituto Superiore di Sanità; Luigina Ambrosio and Annapina Palmieri (Department of Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy) for technical assistance; Antonella Fortunato (Molecular Biology Section, Army Medical and Veterinary Research Center, Rome, Italy) for the whole genome sequencing.

This publication made use of the Neisseria Multilocus Sequence Typing website developed by Keith Jolley and hosted at the University of Oxford [33].

The data come from the Surveillance System of IMD within the DPCM 3/3/2017 “Identificazione dei sistemi di sorveglianza e dei registri di mortalita', di tumori e di altre patologie”. (17A03142) (GU n.109 del 12-5-2017).

Citation: Carannante A, Fazio C, Neri A, Lista F, Fillo S, Ciammaruconi A, et al. (2020) Meningococcal B vaccine antigen FHbp variants among disease-causing Neisseria meningitidis B isolates, Italy, 2014–2017. PLoS ONE 15(11): e0241793. https://doi.org/10.1371/journal.pone.0241793

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