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Journal of Clinical Microbiology logoLink to Journal of Clinical Microbiology
. 2000 Feb;38(2):855–857. doi: 10.1128/jcm.38.2.855-857.2000

Simultaneous Approach for Nonculture PCR-Based Identification and Serogroup Prediction of Neisseria meningitidis

Muhamed-Kheir Taha 1,*
PMCID: PMC86222  PMID: 10655397

Abstract

A nonculture PCR-based method to characterize Neisseria meningitidis was used to test 225 clinical specimens. PCR correctly identified and predicted the serogroups of N. meningitidis of culture-proven meningococcal diseases and confirmed this diagnosis in 35% of suspected samples. This approach could be useful when culture fails to isolate N. meningitidis.


Meningococcal infections (septicemia and meningitis) are usually suspected on the basis of clinical symptoms such as fever, vomiting, neck stiffness, and skin rash (purpura). An etiologic diagnosis is confirmed by the isolation of Neisseria meningitidis from cerebrospinal fluid (CSF), blood, or other body fluids. However, this diagnosis is hindered by the failure to isolate bacteria following early treatment (3). Prophylactic measures (vaccination and/or chemoprophylaxis) should be undertaken among contacts of the patient to prevent secondary cases. Vaccines are available against strains of N. meningitidis belonging to serogroups A, C, Y, and W135 but not against strains of serogroup B. Hence, serogrouping is necessary to better apply preventive measures. The aim of this prospective study was to establish and to assess a nonculture approach for identification and characterization of N. meningitidis.

Biological samples (n = 225) were obtained from 150 different patients who were admitted to several hospitals (n = 25) in France due to suspected meningococcal infection (Table 1). The hospitals enrolled in this study all have pediatric departments. Patient clinical histories included two or more of the following symptoms and signs: fever, meningism, purpura, and arthralgia. Patients were classified into five categories on the basis of laboratory findings. In patient category 1 (n = 33), culture was positive for N. meningitidis in CSF, blood, or other body fluids (culture-proven meningococcal infection). N. meningitidis was identified and systematically verified using the Api-NH system (Biomérieux). Serogrouping for all strains isolated was determined using group-specific immune sera (Sanofi Diagnostics Pasteur). In patient category 2 (n = 20), culture was negative but direct smear and/or antigen detection for N. meningitidis was positive (suspected meningococcal disease). Antigen detection was performed using the Pastorex latex agglutination kit (Sanofi Diagnostics Pasteur). In patient category 3 (n = 147), culture was negative. Direct smear and antigen detection were negative or not done. However, the CSF was abnormal, with a high cell count (>100 cells/μl of CSF), decreased glucose content, or increased protein (possible meningococcal disease). In patient category 4 (n = 10), culture was positive for other bacterial species (other known bacterial meningitis). The diagnoses included pneumococcal meningitis (n = 1), staphylococcal meningitis (n = 4), Listeria monocytogenes meningitis (n = 2), N. sicca meningitis (n = 1), Bacteroides meningitis (n = 1), and Mycobacterium tuberculosis meningitis (n = 1). In patient category 5 (n = 15), culture, direct smear, and antigen detection were negative, with a low leukocyte count (<100 cells/μl) and normal glucose and protein in the CSF (clinically diagnosed viral meningitis).

TABLE 1.

Categories of patients, samples tested in this study, and PCR results

Category (no. of samples) No. of patients Sample source(s) (no. of samples)a Culture
Direct smear
Antigen detection
PCR
No. of samples (patients)
+ + NDb + ND + Positive by PCR Negative by PCR
1 (33) 27 CSF (22) 22  9 8 5 4 8 10 1 21 32 (26) 1 (1)
Serum (7) 7  7 1 2 4 7
PF (3) 3  1 1 1 1 2 3
AF (1) 1  1 1 1
2 (20) 20 CSF (13) 13 1 12 13 1 12 17 (17) 3 (3)
Serum (7) 7 7 7 2 5
3 (147) 78 CSF (78) 78 31 47 17 61 48 30 51 (35) 96 (43)
Serum (69) 69 20 49 15 54 48 21
4 (10) 10 CSF (10) 10c 10 10 10 10 (10)
5 (15) 15 CSF (15) 15 15 15 14 1 1 (1) 14 (14)
 Total 150 225 182 33d, 10c 77 21 127 53 32 140 124 101 101 (79) 124 (71)
a

Samples tested were CSF (n = 138), serum (n = 83), pericardial fluid (PF; n = 3), and articular fluid (AF; n = 1). 

b

ND, not determined. 

c

These samples were positive by culture for other bacterial species. 

d

These samples were positive by culture for N. meningitidis

To identify N. meningitidis, regardless of its serogroup, a PCR screen was designed that amplified a conserved regulatory gene in N. meningitidis, crgA, which was recently identified in this laboratory. This gene is involved in the regulation of adhesion of N. meningitidis to target cells (A. Deghmane, S. Petit, A. Topilko, Y. Pereira, D. Giorgini, M. Larribe, and M.-K. Taha, unpublished data). For serogroup prediction (A, B, C, Y, and W135), a multiplex PCR was performed simultaneously with oligonucleotides in the siaD gene (serogroups B, C, Y, and W135) (4) and in orf-2 of a gene cassette required for the biosynthesis of the capsule of serogroup A (13) (Table 2). The sizes of the expected amplicons from this multiplex PCR are 450 bp (serogroup B), 400 bp (serogroup A), 250 bp (serogroup C), and 120 bp (serogroups Y and W135) (Fig. 1). A PCR for each serogroup was further realized to confirm the result and to discriminate serogroups W135 and Y, for which the amplicon size was 120 bp (Table 2). Oligonucleotides used for the prediction of serogroups were first tested on a collection of meningococcal strains of known serogroups (15 strains of each serogroup were tested). These oligonucleotides were specific for the corresponding serogroup, and no cross-reactivity was observed between meningococcal strains of different serogroups or with strains belonging to other bacterial species (7 strains of N. gonorrhoeae, 2 strains of L. monocytogenes, 2 strains of Streptococcus pneumoniae, and 1 strain of N. lactamica) (data not shown). Samples were subjected to one freeze-thaw cycle, heated at 100°C for 3 min, and then centrifuged for 5 min at 10,000 × g. In each assay, the final 50-μl reaction mixture contained 15 μl of each sample, 60 mM Tris-HCl (pH 8.8), 17 mM (NH4)2SO4, 5 mM MgCl2, 0.5 mM each deoxynucleoside triphosphate, the corresponding oligonucleotides (Table 2) at 0.3 μM, and 1 U of Taq polymerase (Promega). The PCR assays were performed in a DNA thermal cycler (Techne) with the following parameters: a first cycle of denaturation at 94°C for 3 min, annealing at 55°C for 30 s, and polymerization at 72°C for 20 s. The subsequent 35 cycles were as follows: 92°C for 40 s, annealing at 55°C for 30 s, and polymerization at 72°C for 20 s. A final cycle of polymerization at 72°C for 10 min was then performed. Amplicons were analyzed by electrophoresis on a standard 2% agarose gel. In order to test whether PCR was feasible for a given sample, a separate PCR was performed after the addition of 3 μl of a suspension of N. meningitidis with a known concentration.

TABLE 2.

Oligonucleotides used in this study

Oligonucleotide Sequence Gene amplified (serogroup) Amplicon length (bp)
98-6 5′-gctggcgccgctggcaacaaaattc-3′ crgA 230
98-10 5′-cttctgcagattgcggcgtgccgt-3′
98-28 5′-cgcaataggtgtatatattcttcc-3′ orf-2 (A) 400
98-29 5′-cgtaatagtttcgtatgccttctt-3′
98-19 5′-ggatcatttcagtgttttccacca-3′ siaD (B) 450
98-20 5′-gcatgctggaggaataagcattaa-3′
98-17 5′-tcaaatgagtttgcgaatagaaggt-3′ siaD (C) 250
98-18 5′-caatcacgatttgcccaattgac-3′
98-32 5′-cagaaagtgagggatttccata-3′ siaD (W135) 120
98-33 5′-cacaaccattttcattatagttactgt-3′
98-34 5′-ctcaaagcgaaggctttggtta-3′ siaD (Y) 120
98-35 5′-ctgaagcgttttcattataattgctaa-3′

FIG. 1.

FIG. 1

PCR amplification of the siaD (serogroups B, C, and Y and W135) and orf-2 (serogroup A) genes from strains belonging to serogroups A (strain LNP10824), B (strain LNP10846), C (strain LNP13331), and Y and W135 (strains LNP13145 and LNP13230, respectively) and from three clinical specimens (lanes 1, 2, and 3). The strains used were previously described (6). Lane − is the negative control (no bacteria). Electrophoresis was done on a 2% agarose gel. Size markers (bacteriophage φX174 digested by HaeIII) are indicated in base pairs at the right.

PCR correctly identified and predicted the serogroups of N. meningitidis in 32 of 33 samples that were also positive for this bacterium by culture (Table 1). The failure of PCR in one culture-proven case (CSF but no serum was available) could be due to the presence of a substance inhibitory for PCR and/or to the small amount of meningococci in that specific CSF sample. Indeed, PCR was less efficient with this specimen when external meningococci were added (data not shown). Moreover, this specimen was from a 2-year-old child who died of meningococcal septicemia. Only 1 CFU was isolated from this sample (200 μl). To circumvent such a problem, both CSF and serum samples should be tested by PCR.

Specimens of category 2 that were positive by both direct observation and antigen detection were also positive by PCR (Table 1). Serogroup prediction by PCR matched that obtained by antigen assays. Three specimens were only positive by antigen detection for serogroup B and were negative by PCR (Table 1). It is noteworthy that cross-reactions between N. meningitidis and several other bacterial species were reported in antigen detection assays, in particular with serogroup B (7).

All samples obtained from other cases of nonmeningococcal bacterial meningitis (n = 10) were negative by PCR for the presence of meningococcal DNA. Samples from patients in category 5 (clinically diagnosed viral meningitis) were all negative by PCR, except for one case (Table 1). The false-positive sample was CSF from a 5-year-old child who was hospitalized and treated for meningococcal meningitis. However, viral meningitis (category 5) was later kept as a final diagnosis by clinicians, as CSF protein and glucose were normal. The leukocyte count in the CSF was 28 cells/μl (63% polymorphonuclear cells). Several cases of culture-proven meningococcal disease reported in this study had similar CSF findings.

Sensitivity (93%), specificity (96%), positive predictive value (98%), and negative predictive value (86%) were calculated using a two-way table (Table 3) (14). Positive cases (culture or direct smear and/or antigen detection) corresponded to categories 1 (n = 33) and 2 (n = 20). Negative cases, which represent a rather small number, corresponded to categories 4 (n = 10) and 5 (n = 15) (Tables 1 and 3).

TABLE 3.

Two-way table for calculation of efficiency valuesa

PCR result No. of samples that were culture or direct smear and/or antigen detection
Positive Negative
Positive 49 (a) 1 (b)
Negative 4 (c) 24 (d)
a

Sensitivity = a/(a + c) = 0.93, specificity = d/(b + d) = 0.96, positive predictive value = a/(a + b) = 0.98, negative predictive value = d/(c + d) = 0.86. 

For possible meningococcal diseases (category 3), 51 (35%) specimens were confirmed by PCR. These cases were undiagnosed by currently used methods. This percentage is comparable to that (31%) obtained by Newcombe et al. using PCR in suspected cases of meningococcal disease (12).

Other methods for nonculture diagnosis of N. meningitidis have been recently reported. They are based on the amplification of the 16S rRNA gene, IS1106, or the porB gene (8, 10, 12, 15). However, these methods usually identify the presence of N. meningitidis without prediction of the serogroup or only predict two serogroups (1). To the best of my knowledge, no method is available for the prediction of serogroup A, which is the serogroup encountered in the major epidemics in Africa. Moreover, false-positive diagnosis of meningococcal infection by the IS1106 PCR has been reported (2). The amplification of two different meningococcal genes, as reported here, should limit such a false-positive response. The identification and the prediction of serogroups by this method can be performed rapidly. Subsequently, it could be combined with our previously described nonculture N. meningitidis typing method, which is based on analysis of the polymorphism of a meningococcal gene (pilA) (5). The distribution of pilA alleles among different strains was previously shown to correlate well with the typing obtained with the reference typing method, multilocus enzyme electrophoresis (6, 9, 11). When this technique (the polymorphism of pilA) was applied to samples which were positive by PCR, different alleles of pilA were observed, indicating different genetic lineages among the strains incriminated. This result is in agreement with an endemic situation of meningococcal disease in France. PCR assays should not be developed as an alternative to culture. The development of specific and sensitive PCR methods represents an efficient approach in the surveillance of meningococcal disease when culture fails to isolate N. meningitidis.

Acknowledgments

I am grateful to Jean-Michel Alonso for his great support, to Edouard Bingen for encouragement, and to all of the biologists and physicians who sent samples, strains, and clinical information to the Centre National de Référence des Méningocoques. I thank Dario Giorgini for technical help and Stewart Cole and Alexander Pym for critical reading of the manuscript.

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