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Usefulness of real time PCR for the differentiation and quantification of 652 and JP2 Actinobacillus actinomycetemcomitans genotypes in dental plaque and saliva

  • Germano Orrù1Email author,
  • Mario Francesco Marini1, 2,
  • Maria Laura Ciusa1,
  • Daniela Isola1,
  • Marina Cotti1,
  • Marco Baldoni2,
  • Vincenzo Piras1,
  • Elisabetta Pisano1 and
  • Caterina Montaldo1
BMC Infectious Diseases20066:98

https://doi.org/10.1186/1471-2334-6-98

©  Orrù et al; licensee BioMed Central Ltd. 2006

Received: 07 February 2006

Accepted: 13 June 2006

Published: 13 June 2006

Open Peer Review reports

Abstract

Background

The aim of our study is to describe a fast molecular method, able to distinguish and quantize the two different genotypes (652 and JP2) of an important periodontal pathogen: Actinobacillus actinomycetemcomitans. The two genotypes show differences in the expression of an important pathogenic factor: the leukotoxin (ltx). In order to evidence this, we performed a real time PCR procedure on the ltx operon, able to recognize Aa clinical isolates with different leukotoxic potentials.

Methods

The specificity of the method was confirmed in subgingival plaque and saliva specimens collected from eighty-one Italian (Sardinian) subjects with a mean age of 43.9, fifty five (68 %) of whom had various clinical forms of periodontal disease.

Results

This procedure showed a good sensitivity and a high linear dynamic range of quantization (107-102 cells/ml) for all genotypes and a good correlation factor (R2 = 0.97–0.98). Compared with traditional cultural methods, this real time PCR procedure is more sensitive; in fact in two subgingival plaque and two positive saliva specimens Aa was only detected with the molecular method.

Conclusion

A low number of Sardinian patients was found positive for Aa infections in the oral cavity, (just 10 positive periodontal cases out of 81 and two of these were also saliva positive). The highly leukotoxic JP2 strain was the most representative (60 % of the positive specimens); the samples from periodontal pockets and from saliva showed some ltx genotype for the same patient. Our experience suggests that this approach is suitable for a rapid and complete laboratory diagnosis for Aa infection.

Keywords

PeriodontitisSaliva SamplePeriodontal PocketPeriodontal PathogenSubgingival Plaque

Background

Actinobacillus actinomycetemcomitans (Aa) is a gram-negative, facultative anaerobe, implicated in numerous human diseases such as periodontitis, endocarditis, meningitis and osteomyelitis. [1–4]. The primary ecological niches of this bacteria, which causes localized aggressive periodontitis, are dental plaque and periodontal pockets and its presence mainly occurs in chronic adult periodontitis [5–7].Aa has been studied because it produces a powerful leukotoxin (ltx) able to kill human leukocytes [8–13]. Most of the Aa strains isolated from non-diseased periodontal sites produce low levels of leukotoxin, while aggressive forms of Aa -associated periodontitis show highly leukotoxic microrganism clones [8, 46]. The leukotoxin is expressed by an operon consisting of four genes (ltx C, ltx A, ltx B, ltx D); ltx A is the functional toxin while the three remaining genes are required for activating and transporting the leukotoxin [12, 14]. Different transcription levels of ltx can depend on a specific 530-bp sequence in the ltx promoter region, which leads to both lower expression and toxicity (strain 652). When this region is deleted (this occurs in strain JP2) there is a faster ltx production which leads to a better protein transcription than in strain 652: this seems to be responsible for the periodontal destruction [15–18].

Standard culture methods used for Aa detection in clinical samples have some disadvantages such as the need for a required nutritionally complex media for growth and several days of incubation [19, 20]. Molecular assays for Aa detection are based on DNA-probes, PCR and real time PCR methods; they are faster and more sensitive than cultural systems, although they do not allow a simultaneous detection and quantization of the different genotypes [21–34]. To overcome these outbreaks we used a real time PCR method for the differentiation and quantization of Aa 652/JP2 strains, based on the different length of PCR products in the two genotypes; this method is based on the principle that, by using SYBR Green I, the melting temperature (Tm) of the PCR product gives information about the sequence length and also allows different genotype amplicons to be identified and quantified.

Methods

Clinical specimens

Subgingival plaque and saliva samples were collected from 81 male and female subjects, aged from 7 to 81, recruited from the Department of Dental Disease Prevention (University of Cagliari), who had given informed consent to take part in the microbiological analysis. The patient's conditions were: non-diseased (n = 26.32%), with gingivitis (n = 31, 38.3%), with chronic periodontitis (n = 17.21%) and with aggressive periodontitis (n = 7, 8.7%) [35]. Each patient's health status and background were recorded: age, sex, probing pocket depth, clinical attachment level, bleeding on probing (measured in six sites on all teeth present in the mouth). None of the patients who took part in the experiments was under antibiotic therapy during the previous 6 months. At first, 400 μl of saliva was collected from each patient and placed into a sterile tube, afterwards the subgingival plaque samples were obtained (one site per patient) from the deepest periodontal sites in all subjects. The sample area was isolated using sterile cotton rolls and air-dried to avoid saliva contamination; supragingival plaque was removed by using a sterile curette. A sterile paper point ISO 45 (Roeko Dental, Langenau, Germany) was inserted into the pocket and held in place for 30 seconds [36]. The paper point was then removed and placed into a vial containing 800 μl of sterile saline solution, NaCl 0.9%, with 15 glass beads (about 100 mg Bio-Spec Products, Bartesville, USA). After vigorous vortexing, 200 μl of the suspension was immediately used for culture analysis, while the remaining suspension (600 ul) was stored at -20°C and 400 ul of this were used for DNA extraction.

Positive control strains

a) Aa strains

The Aa strains used were: (i) CCUG 37005 (Culture Collection, University of Göteborg, Sweden, genotype 652) and (ii) clinical isolate, strain GO1 (genotype JP2). The two strains were maintained at -80°C in vials containing Schaedler Broth with 15% glycerol and cultured in Columbia agar blood (Microbiol, UTA, Cagliari, Italy) at 37°C with 5% CO2 in jar (Biomérieux Marcy l'Etoile, France). After 1 week of incubation, colonies of each genotype were suspended in a sterile saline solution (NaCl 0.9%) to obtain a concentration of 1 McFarland scale 3*108 cells/ml (counted with the McFarland method) these suspensions were used as follows:

1. to assess specificity: we prepared different suspensions in 400 μl of sterile saliva (obtained by filtration with a 0.5 μm filter, Millipore Molseim, France), (i) containing 106 CELLS/ml of each genotype and (ii) tubes with different proportional mixtures of the two genotypes, 1/2, 1/4, 1/8, 1/10 652/JP2 or vice versa)

2. to assess sensitivity: we prepared 10 fold serial dilutions of each genotype in sterile saliva, ranging from 107 -101 cells/ml.

The exact bacterial concentration of these standards was obtained by colony forming unit (CFU) plate counted in Columbia agar blood (Microbiol, Uta, Cagliari, Italy. These suspensions served as a standard for measuring the method sensitivity and for the quantification curve after DNA extraction.

b) Other periodontal bacteria used as positive control

To assess the role of other periodontal pathogens in these samples, a traditional PCR was used with subsequent positive controls: Porphyromonas gingivalis CCUG 25893, Prevotella intermedia CCUG 24041, (Culture Collection, University of Göteborg, Sweden), Tannerella forsythensis cip 105220 (Institut Pasteur, Paris, France) Treponema denticola DSMZ 14222-Deutsche Sammlung von Mikroorganismen, Braunschweig, Germany. These strains (except T.denticola) were cultured on Shaedler Anaerobe Agar plates (Microbiol, Uta, Cagliari, Italy), incubated in an anaerobic jar for 7 days at 37°C. 1 ml of these bacterial suspensions was used for DNA extraction.

DNA extraction

Genomic DNA from positive controls and clinical samples was obtained by the CTAB modified method. 400 μl of sample were added to 70 μl of 10% sodium dodecyl sulphate (SDS) and 5 μl of proteinase K at 10 mg/ml concentration (SIGMA – Aldrich, ST. Louis, Missouri, USA); after vigorous vortexing, this mixture was incubated for 10 minutes at 65°C. Next, 100 μl of NaCl [5 M] and 100 μl of CTAB/NaCl (0.274 M CTAB, Hexadecyl trimetylammonium bromide and 0.877 M NaCl, Sigma-Aldrich) were added to the tube, which was vortexed briefly and incubated at 65°C for 10 minutes. 750 μl of SEVAG (Chloroform: Isoamyl Alcohol 24:1, Sigma-Aldrich) were added and the mixture was vortexed for 10 sec. After centrifuging for 5 min (at 12000 rpm) 0.6 volumes of isopropanol (Sigma-Aldrich) were added to the supernatant. After 30 min at -20°C and after being centrifuged for 30 min at 12.000 rpm, the pellet was dried at room temperature for 20 min and suspended in 20 μl of molecular biology grade distilled water (Gibco, Invitrogen Paisley, Scotland, UK). 2 μl of this were used as DNA suspension for conventional PCR and real time PCR reaction.

Primers design

Primers for real time PCR were designed using the promoter region on the Leukotoxin operon sequences extracted from the NCBI database GenBank with S68133 and M27399 accession numbers. Figure 1 shows primer sequence and position and the real time PCR mechanism with the two different (652/JP2) Aa genotypes. Possible oligonucleotide dimer formation, self-complementarity and the annealing temperatures of the real time PCR were calculated using the Oligo program vers. 4 (MedProbe, Oslo, Norway). The real time PCR primers (OG155 and OG156) amplified a region of 696 bp in the 652 genotype and 195 bp in the JP2 genotype (Figure 1). The theoretic melting temperatures of the different PCR amplicons (Tms) were calculated using module 1 of the DNA hybridization prediction algorithm program "HYTHER" [37, 50] with the following sets of parameters: (i) monovalent cation concentration at 0.05 mol/L, (ii) Mg2+ at 0.004 mol/L, (iii) a concentration of PCR products (Top/Bottom strands) at 10-7 mol/L and (iv) hybridisation temperature at 37°C. The same procedures have been used to design all the oligonucleotides used in traditional PCR (Table 1).
Figure 1
Figure 1

Structure of Real time PCR design for Actinobacillus actinomycetemcomitans 652, JP2 genotype detection. Primers were designed to circumscribe a fragment of 530 bp present in 652 but deleted in the JP2 strain. The two different PCR products showed 6 °C difference in Tms after PCR real time melting curve analysis.

Table 1

Primers used and strains detected by conventional PCR.

Name

Target

Strain

Sequence 5'--------------3'

GenBank Accession No

PCR product (bp)

OG 43

16S rRNA

Actinobacillus actimycetemcomitans

CCAAGTGTGATTAGGTAGTT

M75036

226

OG 44

16S rRNA

Actinobacillus actimycetemcomitans

ACCAACCTTCCTCAATAC

M75036

 

OG53

16S rRNA

Prevotella intermedia

CGTATCCAACCTTCCCTCC

X73965

389

OG54

16S rRNA

Prevotella intermedia

ATTAGCCGGTCCTTATTCGAAG

X73965

 

OG94

prtC

Porphyromonas gingivalis

GAATCAAATACTTCAGCCGTCT

AB006973

143

OG95

prtC

Porpyromonas gingivalis

TTGCAGTTCGTATCGGATCT

AB006973

 

OG45

16S rRNA

Tannerella forsythensis

GTCGGACTAATACCTCATAAAACA

L16495

222

OG46

16S rRNA

Tannerella forsythensis

TCGCCCATTGACCAATATT

L16495

 

OG348

16S rRNA

Treponema denticola

AGAGAAAGGGTAATTTGAAG

AF179264

399

OG349

16S rRNA

Treponema denticola

TATTATTGTCCCTTCTTTCTT

AF179264

 

Real time PCR

Real time PCR was performed with a LightCycler instrument and a LightCycler DNA Master SYBR Green I kit (Roche Diagnostics Mannheim, Germany), according to the manufacturer's instructions. The 20 μl final volume contained 4 mM MgCl2, 1 μM of each primer (OG155-OG156) and 2 μl of DNA extract. The PCR program was: (i) denaturation at 95°C for 30 sec, (ii) 40 cycles of: 1 sec at 95°C, 10 sec at 49°C, 40 sec at 72°C and 3 sec at 74.3°C. (iii) The melting curve was performed for 0 seconds at 95°C, 45°C, 95°C. Transition rates were: 5°C/s in 72°C segment, 0.1°C/s in 45 °C segment and 20 °C/s for other steps. Fluorescence was detected at the end of the 74.3°C segment in the PCR step (single mode), and at 45°C segment in the melting step (continuous mode) in the F1 channel. During the initial optimization of the real time reaction, products were analyzed using agarose gel to ensure a correct sample product size. After real time PCR, samples were recovered from capillaries by reverse centrifugation into microcentrifuge tubes (Eppendorf 0.2 μl), and mixed with blue loading buffer and finally 10 μl of each sample were utilized in 1% agarose electrophoresis gel (Invitrogen, Palsley, Scotland, UK) and stained with ethidium bromide.

Differentiation between JP2 and 652 genotypes

By using two primers (OG155 and OG156) flanking an ltx promoter region, we obtained two different length PCR products: 696 bp for 652 and 195 bp for the JP2 genotype. These amplicons showed two different Tms melting peaks after the PCR real time reaction with SYBR green I dye. To evaluate product specificity, ltx PCR amplicons were also sequenced by a conventional automated sequencer as described in literature by Ianelli et al.,1998, [38]. The results were edited and analyzed with nucleotide-nucleotide BLAST (blastn) [51] and compared with sequences deposited in the DNA data bank.

Expression of the Aa concentration in dental plaque and saliva

Real time PCR standard curves were performed on different DNA extracts, obtained by different Aa genotype suspensions with a concentration range of 107-101 cells/ml. The number of bacteria was calculated by the interpolation of the clinical sample threshold cycle [39] with a standard curve obtained for each genotype (Figure 4). Bacterial concentration in specimens was expressed in: i) Aa cells/ml paper point suspension for subgingival plaque and ii) Aa cells/ml saliva in saliva samples. We used the following equation to calculate Aa concentration for the paper point specimens.

a) [cells/ml paper point suspension].= ([Aa Rt cells]*2,5.

[Aa Rt cells]= Bacterial cells, calculated by PCR real time standard curve interpolation.

Cultural method

For a sensitivity study, molecular methods were compared with traditional culture analysis for all the clinical samples: 200 μl of saliva and paper point suspensions were diluted 10 and 100 fold in Schaedler Broth (Microbiol, Uta, Cagliari, Italy). 100 μl of each dilution were plated in Columbia agar blood (Microbiol, Uta, Cagliari, Italy) and incubated in a 15% CO2 atmosphere at 37°C in a jar using the Genbox system (Biomérieux Marcy l'Etoile, France). After 6 days of incubation the typical Aa colonies were identified by a biochemical test using API 20A (Biomérieux Marcy l'Etoile, France) according to the manufacturer's instructions.

Conventional PCR

For the 81 analyzed samples we used traditional PCR able to detect: (i) A. actinomycetemcomitans by different DNA target (16S rRNA) and (ii) P. gingivalis, P. intermedia, T. forsythensis, T. denticola. For all bacteria, the reaction was performed in 25 μl reaction volumes using MegaMix 2MM-5 (Microzone Limited, West Sussex, UK) according to the manufacturer's instructions. The primer and target sequences used are shown in Table 1. The mixture contained 7 pmol of each primer, 3.8 mM MgCl2 and 2 μl of DNA suspension. The thermocycler profile was as follows: an initial denaturation at 95° C for 5 min; 35 cycles consisting of 50°C for 1 min, 68° C for 3 min and 40 sec and 95° C for 1 min. PCR products were analysed by electrophoresis on a 1.2 % agarose gel containing ethidium bromide (0.5 mg/ml). With reconstruction experiments this method showed a detection limit range of 10-50 cells/PCR.

Results

Reconstruction experiments: specificity and sensitivity of the method

A reconstruction experiment confirmed the PCR real time selectivity in the DNA extracts of three different suspensions: (i) Aa 652, (ii) Aa JP2 and (iii) a mixture of the two genotypes. Figures 2, 3 shows melting curves and the 1% agarose gel electrophoresis results of PCR real time products. In our study, with reconstruction and with clinical samples, we demonstrated melting temperatures of 76 ± 2 °C in the JP2 positive samples, and 82 ± 2 °C in the 652 positive samples; a double melting peak was obtained with both genotype mixtures tested (Figure 3). The 6 °C difference in Tms allows an easier differentiation of two genotype profiles; no cross-reaction in Tms peaks was detected with strains 652 and JP2, indicating the good selectivity of the method. Only one size band for each genotype was verified and confirmed in agarose gel electrophoresis, respectively 696 bp for 652 and 192 bp for the JP2 strain (Figure 2); this suggests a total absence of non-specific products. Real-time PCR, as evaluated here, has been shown to have a detection limit of 40 Aa 652 or JP2 cells/PCR (100 cells/ml). The wide linear range (107-102cells obtained for two genotypes) as illustrated in Figure .4, indicates the efficiency of this real time PCR. Standard curves showed a similar slope and a good correlation regression coefficient R2 of 0.98–0.97 [40], (Figure 4). In these experiments negative control contained DNA saliva extracts recovered from a non-diseased patient with PCR/negative culture for Aa, the total DNA amount of these samples was about 50 μg/μl. C lanes/curves do not contain aspecific products from previous interaction with human or non-specific bacterial genomic DNA as shown in Figures 2, 3. The DNA sequencing results of the PCR amplicons were a perfect match, with Blast program analysis [51], for the 652 genotype (Gen Bank accession n. S68133) or the JP2 genotype (Gen Bank accession n. X16829).
Figure 2
Figure 2

Real time PCR melting curve and agarose gel electrophoresis results obtained from saliva reconstruction samples containing different Actinobacillus actinomycetemcomitans genotypes. Curves 1–2: using a suspension containing the 652 or JP2 Aa genotype, the difference in Tms melting peaks was 6°C between the two clones. The presence of a single 696 bp band for 652 and 192 bp for the JP2 strain in 1% agarose electrophoresis gel (Metaphor, BMA, Rockland ME USA) suggests a total absence of non-specific products, gel bands 1–2. Melting peak at 73°C in negative control and the small band in the control samples "C" are primer dimer products.

Figure 3
Figure 3

Real time PCR melting curve and agarose gel electrophoresis results obtained using a suspension containing a mixture of two genotypes: a single curve is obtained with two distinct Tms' peaks which confirm good system selectivity. Melting peak at 73°C in negative control and the small band in the control samples "C" are primer dimer products.

Figure 4
Figure 4

Quantitative standard curves. Linear regressions obtained by real time PCR using a LightCycler instrument with SYBR Green I protocol of serially diluted suspensions for JP2 or 652 Actinobacillus actinomycetemcomitans genotypes (107-102 cells/ml). Threshold cycle (CT) value is directly related to the amount of PCR product and therefore related to the initial amount of target DNA present in the PCR reaction. CT (threshold cycle) represent the fractional PCR cycle number at which the fluorescence signal exceeds background fluorescence [40].

Results with clinical samples

We analyzed plaque and saliva samples collected from 81 patients following the protocols just described. In comparison with the cultural procedure, real time resulted as being a little more sensitive (1 saliva and 2 paper point samples were positive only with molecular methods), while real time and conventional PCR were in accordance. All negative samples with the real time PCR procedure also resulted negative with cultural and conventional PCR methods too. Only one subject in the non-diseased group (26 in total) resulted 652 Aa genotype-positive for the periodontal pocket specimen, with 103 cells/ml bacteria in the paper point suspension and negative in the saliva sample. Table 2 shows that 9 out of 55 diseased patients (16.3%) were infected with Aa and the disease severity was associated with a high bacteria title and/or leukotoxic genotype presence. In accordance with scientific data, we only identified the leukotoxic clone (JP2) in patients with severe forms of periodontitis [41]. However, whenever a similar degree of clinical infection was present, and only the leukotoxic 652 genotype was identified, high bacteria titles were present (about ≥ 104 cells/ml in the paper point suspension). Two patients, with aggressive periodontitis, showed bacteria in saliva samples too; one was found positive for the 652 strain and the other for JP2, the same genotypes were detected respectively in periodontal pockets.
Table 2

Real Time PCR results (title and genotype) in comparison with cultural and conventional PCR methods using saliva and subgingival plaque from 10 Sardinian subjects out of 81, positive for A. actinomycetemcomitans.

Patient

Disease type

Subgingival plaque

Saliva

  

Aa Real time PCR [cells/ml paper point]

Culture for Aa

Conventional PCR (for 4 periodontal pathogens)

Real time PCR Aa cells/ml

Aa Culture CFU/ml vs Conventional PCR (Aa 16S rRNA only)

C1

aggressive periodontitis

1,9*104 (652)

posit

Aa

3,0*102 (652)

1,5*101/pos

C2

aggressive periodontitis

4,0*103 (JP2)

posit

Aa, Pg

1,3*102 (JP2)

neg/pos

C4

gingivitis

3,6*103 (652)

posit

Aa,

Nd

neg/neg

C5

chronic periodontitis

6,4*103 (JP2)

posit

Aa,Tf

Nd

neg/neg

C6

chronic periodontitis

1,9*103 (JP2)

neg

Aa,Tf

Nd

neg/neg

C7

aggressive periodontitis

2,8*104 (JP2)

posit

Aa,Pi,Tf

Nd

neg/neg

C8

aggressive periodontitis

4,4*104 (JP2)

posit

Aa,

Nd

neg/neg

C25

aggressive periodontitis

2,0*103 (JP2)

posit

Aa,

Nd

neg/neg

C75

aggressive periodontitis

3,0 *104 (652)

posit

Aa, Pg, Pi,Tf

Nd

neg/neg

C80

no disease

1,0*103 (652)

neg

Aa, Pg, Pi,Tf

Nd

neg/neg

Legend:

Aa = A. actinomycetemcomitans, Pg = P. gingivalis, Pi = P. intermedia, Tf = T. forsythensis.

Nd = non-detectable (<102 cells/ml)

Subgingival distribution of different periodontal bacteria

Five periodontopathic bacteria: A. actinomycemcomitans P. gingivalis, P. intermedia, T. forsytensis and T. denticola were detected by a conventional PCR method from the subgingival plaque of all 81 patients. No periodontopathogenic bacterial DNA was observed in 39 of the samples (51%). The percentage of PCR positive samples was: Aa 12.2%, Pg 14.8%, Pi 22%, Tf (the most representative bacteria in these samples) 40.8% and Td 8.7 %. Six specimens resulting positive for Aa, (C2, C5, C6, C7, C75, C80) were associated with at least another periodontal bacteria. The principal pathogen was T. forsythensis present in 50% of the Aa positive samples. Sample C80, isolated in a non-diseased patient (2 mm subgingival pocket), contained all 4 tested pathogens (Table 2). In the PCR results four samples showed Aa DNA only (samples C1, C4, C8, C25) and these results were in accordance with the PCR real time and cultural result s(Table 2).

Discussion

Periodontitis is an inflammatory disease caused by different species of anaerobic bacteria and is the most prevalent human disease; in addition a growing number of studies indicate that severe chronic forms of this disease are not only localized infections, but may also increase of the risk of various systemic conditions such as cardiovascular disease [4, 42].

The multi-factoriality of this infection is due to a complex bacteria population with high dynamicity and adaptability; consequently, treating periodontitis is difficult since the elimination of this pathogenic bacteria, once established in periodontal pockets, may not be possible, even with repetitive treatments. Moreover costs related to maintaining and replacing restoration work like fillings and crowns and those of periodontal treatment are high and similar problems occur with dental implants.

For these reasons in periodontal disease prevention, diagnostic methods able to evaluate the virulence factors of periodontal bacteria are important, particularly in subjects without clinical symptoms but infected with these pathogens; for example patient C80 in our study.

81 patients (diseased and non diseased) showed a sub-gingival distribution of periodontal bacteria in accordance with published data [43]. In fact, at least 1 member of the red complex bacteria (Pg, Tf, Td) 47.2% or orange complex (Pi) 25.9% was found in the majority of diseased patients; ten subjects (0.12%) contained A. actinomicetemcomitans in the periodontal pocket and two of these also in saliva [44].

Different studies have considered Aa as an important etiological microorganism involved in aggressive periodontitis [16, 35, 41, 45, 46] and it has been shown that a high-leukotoxin-producing strain of Aa is mainly found among individuals with severe forms of periodontitis [14–16, 41]. Different authors have recently described PCR real time methods for Aa quantization [26, 27, 34, 47, 48], but with current molecular methods it is not possible to obtain simultaneous bacterial quantization and genotypization.

We have described a fast molecular procedure (2 hours) with good sensitivity and specificity, able to quantify and differentiate strains 652 and JP2 of Aa simultaneously. We analyzed subgingival plaque and saliva samples collected from subjects with different periodontal status and the results showed that in comparison with recent bibliographic data obtained in other geographical regions, the same differences in Aa distribution were also evaluated in Sardinian people [16, 49]. In fact, within the non-diseased patients (n= 26, 3.8%), only one individual resulted Aa positive with all the three methods used; 24 chronic and 8 subjects with aggressive periodontitis (33%) showed the bacteria in oral clinical samples. Genotype JP2 was the most represented in all periodontal patients whose age was >29 mean = 47. None of the adolescent subjects examined in this study (n= 5, age 10 to 15 years) showed periodontal disease.

In comparison with the other periodontal pathogens tested, 4 samples were positive only for Aa; this could mean that in these samples disease severity may depend on the number and genotype of this microorganism. However when other periodontal pathogens were present, high numbers or high leukotoxic Aa genotype were mostly correlated with severe forms of periodontitis. (chronic or aggressive). The presence of this strain in saliva too, (two cases in these patients), has been described by other authors [44]; Our results shows that the same genotype is present in saliva and in periodontal pockets, indicating a possible and continuous bacteria replacement in saliva from an important reservoir which is the periodontal district. Moreover, real time PCR quantification of saliva could explain its role as a means of bacterial transmission in patients with a high infectious dose of Aa.

Conclusion

Experimental results suggest the importance of obtaining both bacterial titre and genotype identification to give the correct microbiological diagnosis in periodontal infections. Further investigations and sample enlargements could give us more answers about the correlation between bacterial status in the oral cavity and disease severity and progression. The presented method/approach is suitable for a rapid and complete laboratory diagnosis of Aa infection.

Abbreviations

CTAB: 

Hexadecyl trimetylammonium bromide

Declarations

Authors’ Affiliations

(1)
O.B.L. (Oral Biotechnology Laboratory), Dipartimento di Chirurgia e Odontostomatologia Università degli Studi di Cagliari, Cagliari, Italy
(2)
Universita' degli Studi Milano Bicocca, Dipartimento di Neuroscienze, Dottorato di Ricerca in Parodontologia Sperimentale, Milano, Italy

References

  1. Meyer DH, Fives-Taylor PM: The role of Actinobacillus actinomycetemcomitans in the pathogenesis of periodontal disease. Trends Microbiol. 1997, 15: 224-228. 10.1016/S0966-842X(97)01055-X.View ArticleGoogle Scholar
  2. Paju S, Carlson P, Jousimies-Somer H, Asikainen S: Heterogeneity of Actinobacillus actinomycetemcomitans strains in various human infections and relationships between serotype, genotype, and antimicrobial susceptibility. J Clin Microbiol. 2000, 38: 79-84.PubMedPubMed CentralGoogle Scholar
  3. Paturel L, Casalta JP, Habib G, Nezri M, Raoult D: Actinobacillus actinomycetemcomitans endocarditis. Clin Microbiol Infect. 2004, 10: 98-118. 10.1111/j.1469-0691.2004.00794.x.View ArticlePubMedGoogle Scholar
  4. Rottman M, Hanau-Bercot B, Fiszbin M, Raskine L, Gravisse J, Caulin C, Sanson-Le Pors MJ: Diagnosis of Actinobacillus actinomycetemcomitans infective endocarditis after steadily negative blood cultures. J Infect. 2002, 44: 208-210. 10.1053/jinf.2002.0967.View ArticlePubMedGoogle Scholar
  5. Armitage GC: Development of a classification system for periodontal diseases and conditions. Ann Periodontol. 1999, 4: 1-6. 10.1902/annals.1999.4.1.1.View ArticlePubMedGoogle Scholar
  6. Tinoco EM, Sivakumar M, Preus HR: The distribution and transmission of Actinobacillus actinomycetemcomitans in families with localized juvenile periodontitis. J Clin Periodontol. 1998, 25: 99-105. 10.1111/j.1600-051X.1998.tb02415.x.View ArticlePubMedGoogle Scholar
  7. Zambon JJ: Actinobacillus actinomycetemcomitans in human periodontal disease. J Clin Periodontol. 1985, 12: 1-20. 10.1111/j.1600-051X.1985.tb01348.x.View ArticlePubMedGoogle Scholar
  8. Kachlany SC, Fine DH, Figurski DH: Secretion of RTX leukotoxin by Actinobacillus actinomycetemcomitans. Infect Immun. 2000, 68: 6094-6100. 10.1128/IAI.68.11.6094-6100.2000.View ArticlePubMedPubMed CentralGoogle Scholar
  9. Kachlany SC, Fine DH, Figurski DH: Purification of secreted leukotoxin (LtxA) from Actinobacillus actinomycetemcomitans. Protein Expr Purif. 2002, 25: 465-467. 10.1016/S1046-5928(02)00037-2.View ArticlePubMedGoogle Scholar
  10. Lally ET, Golub EE, Kieba IR, Taichman NS, Rosenbloom JJ, Rosenbloom CC, Gibson W, Demuth DR: Analysis of the Actinobacillus actinomycetemcomitans leukotoxin gene. Delineation of unique features and comparison to homologous toxins. J Biol Chem. 1989, 264: 15451-15456.PubMedGoogle Scholar
  11. Lear JD, Karakelian D, Furblur U, Lally ET, Tanaka JC: Conformational studies of Actinobacillus actinomycetemcomitans leukotoxin: partial denaturation enhances toxicity. Biochim Biophys Acta. 2000, 1476: 350-362.View ArticlePubMedGoogle Scholar
  12. Narayanan SK, Nagaraja TG, Chengappa MM, Stewart GC: Leukotoxins of gram-negative bacteria. Vet Microbiol. 2002, 84: 337-356. 10.1016/S0378-1135(01)00467-9.View ArticlePubMedGoogle Scholar
  13. Yamaguchi N, Kubo C, Masuhiro Y, Lally ET, Koga T, Hanazawa S: Tumor necrosis factor alpha enhances Actinobacillus actinomycetemcomitans leukotoxin-induced HL-60 cell apoptosis by stimulating lymphocyte function-associated antigen 1 expression. Infect Immun. 2004, 72: 269-276. 10.1128/IAI.72.1.269-276.2004.View ArticlePubMedPubMed CentralGoogle Scholar
  14. Brogan JM, Lally ET, Poulsen K, Kilian MD: Regulation of Actinobacillus actinomycetemcomitans leukotoxin expression: analysis of the promoter regions of leukotoxic and minimally leukotoxic strains. Infect Immun. 1994, 62: 501-508.PubMedPubMed CentralGoogle Scholar
  15. Haraszthy VI, Hariharan G, Tinoco EM, Cortelli JR, Lally ET, Davis E, Zambon JJ: Evidence for the role of highly leukotoxic Actinobacillus actinomycetemcomitans in the pathogenesis of localized juvenile and other forms of early-onset periodontitis. J Periodontol. 2000, 71: 912-922. 10.1902/jop.2000.71.6.912.View ArticlePubMedGoogle Scholar
  16. Haubek D, Westergaard J: Detection of a highly toxic clone of Actinobacillus actinomycetemcomitans (JP2) in a Moroccan immigrant family with multiple cases of localized aggressive periodontitis. Int J Paediatr Dent. 2004, 14: 41-48. 10.1111/j.1365-263X.2004.00518.x.View ArticlePubMedGoogle Scholar
  17. Hritz M, Fisher E, Demuth DR: Differential regulation of the leukotoxin operon in highly leukotoxic and minimally leukotoxic strains of Actinobacillus actinomycetemcomitans. Infect Immun. 1996, 64: 2724-2729.PubMedPubMed CentralGoogle Scholar
  18. Kolodrubetz D, Spitznagel J, Wang B, Phillips LH, Jacobs C, Kraig E: cis Elements and trans factors are both important in strain-specific regulation of the leukotoxin gene in Actinobacillus actinomycetemcomitans. Infect Immun. 1996, 64: 3451-3460.PubMedPubMed CentralGoogle Scholar
  19. Holm A, Rabe P, Kalfas S, Edwarsson S: Improved selective culture media for Actinobacillus actinomycetemcomitans and Haemophilus aphrophilus. J Clin Microbiol. 1987, 25: 1985-1988.PubMedPubMed CentralGoogle Scholar
  20. Slots J: Selective medium for isolation of Actinobacillus actinomycetemcomitans. J Clin Microbiol. 1982, 15: 606-609.PubMedPubMed CentralGoogle Scholar
  21. Doungudomdacha S, Rawlinson A, Douglas CW: Enumeration of Porphyromonas gingivalis, Prevotella intermedia and Actinobacillus actinomycetemcomitans in subgingival plaque samples by a quantitative-competitive PCR method. J Med Microbiol. 2000, 49: 861-867.View ArticlePubMedGoogle Scholar
  22. Komiya A, Kato T, Nakagawa T, Saito A, Takahashi J, Yamada S, Okuda KA: Rapid DNA probe method for detection of Porphyromonas gingivalis and Actinobacillus actinomycetemcomitans. J Periodontol. 2000, 71: 760-767. 10.1902/jop.2000.71.5.760.View ArticlePubMedGoogle Scholar
  23. Kuboniwa M, Amano A, Kimura KR, Sekine S, Kato S, Yamamoto Y, Okahashi N, Iida T, Shizukuishi S: Quantitative detection of parodontal pathogens using real-time polymerase chain reaction with TaqMan probes. Oral Microbiol Immunol. 2004, 19: 168-176. 10.1111/j.0902-0055.2004.00135.x.View ArticlePubMedGoogle Scholar
  24. Lau L, Sanz M, Herrera D, Morillo JM, Martin C, Silva A: Quantitative real-time polymerase chain reaction versus culture: a comparison between two methods for the detection and quantification of Actinobacillus actinomycetemcomitans, Porphyromonas gingivalis and Tannerella forsythensis in subgingival plaque samples. J Clin Periodontol. 2004, 31: 1061-1069. 10.1111/j.1600-051X.2004.00616.x.View ArticlePubMedGoogle Scholar
  25. Leys EJ, Griffen AL, Strong SJ, Fuerst PA: Detection and strain identification of Actinobacillus actinomycetemcomitans by nested PCR. J Clin Microbiol. 1994, 32: 1288-1294.PubMedPubMed CentralGoogle Scholar
  26. Maeda H, Fujimoto C, Haruki Y, Maeda T, Kokeguchi S, Petelin M, Arai H, Tanimoto I, Nishimura F, Takashiba S: Quantitative real-time PCR using TaqMan and SYBR Green for Actinobacillus actinomycetemcomitans, Porphyromonas gingivalis, Prevotella intermedia, tetQ gene and total bacteria. FEMS Immunol Med Microbiol. 2003, 39: 81-86. 10.1016/S0928-8244(03)00224-4.View ArticlePubMedGoogle Scholar
  27. Morillo JM, Lau L, Sanz M, Herrera D, Silva A: Quantitative real-time PCR based on single copy gene sequence for detection of Actinobacillus actinomycetemcomitans and Porphyromonas gingivalis. J Periodontal Res. 2003, 38: 518-524. 10.1034/j.1600-0765.2003.00684.x.View ArticlePubMedGoogle Scholar
  28. Morillo JM, Lau L, Sanz M, Herrera D, Martin C, Silva A: Quantitative real-time polymerase chain reaction based on single copy gene sequence for detection of parodontal pathogens. J Clin Periodontol. 2004, 31: 1054-1060. 10.1111/j.1600-051x.2004.00608.x.View ArticlePubMedGoogle Scholar
  29. Poulsen K, Ennibi OK, Haubek D: Improved PCR for detection of the highly leukotoxic JP2 clone of Actinobacillus actinomycetemcomitans in subgingival plaque samples. J Clin Microbiol. 2003, 41: 4829-4932. 10.1128/JCM.41.10.4829-4832.2003.View ArticlePubMedPubMed CentralGoogle Scholar
  30. Rudney JD, Chen R, Pan Y: Endpoint quantitative PCR assays for Bacteroides forsythus, Porphyromonas gingivalis, and Actinobacillus actinomycetemcomitans. J Periodontal Res. 2003, 38: 465-470. 10.1034/j.1600-0765.2003.00670.x.View ArticlePubMedGoogle Scholar
  31. Saddi-Ortega L, Carvalho MA, Cisalpino PS, Moreira ES: Actinobacillus actinomycetemcomitans genetic heterogeneity: amplification of JP2-like ltx promoter pattern correlated with specific arbitrarily primed polymerase chain reaction (AP-PCR) genotypes from human but not marmoset Brazilian isolates. J Microbiol. 2002, 48: 602-610.Google Scholar
  32. Sanz M, Lau L, Herrera D, Morillo JM, Silva A: Methods of detection of Actinobacillus actinomycetemcomitans, Porphyromonas gingivalis and Tannerella forsythensis in parodontal microbiology, with special emphasis on advanced molecular techniques: a review. J Clin Periodontol. 2004, 31: 1034-1047. 10.1111/j.1600-051X.2004.00609.x.View ArticlePubMedGoogle Scholar
  33. Suzuki N, Nakano Y, Yoshida Y, Ikeda D, Koga T: Identification of Actinobacillus actinomycetemcomitans serotypes by multiplex PCR. J Clin Microbiol. 2001, 39: 2002-2005. 10.1128/JCM.39.5.2002-2005.2001.View ArticlePubMedPubMed CentralGoogle Scholar
  34. Yoshida A, Suzuki N, Nakano Y, Oho T, Kawada M, Koga T: Development of a 5' fluorogenic nuclease-based real-time PCR assay for quantitative detection of Actinobacillus actinomycetemcomitans and Porphyromonas gingivalis. J Clin Microbiol. 2003, 41: 863-866. 10.1128/JCM.41.2.863-866.2003.View ArticlePubMedPubMed CentralGoogle Scholar
  35. Wiebe CB, Putnins EE: The periodontal disease classification system of the American Academy of Periodontology -an update. J Can Dent Assoc. 2000, 66: 594-597.PubMedGoogle Scholar
  36. Hartroth B, Seyfahrt I, Conrads G: Sampling of periodontal pathogens by paper points: evaluation of basic parameter. Oral Microbiol Immunol. 1999, 14: 326-330. 10.1034/j.1399-302X.1999.140510.x.View ArticlePubMedGoogle Scholar
  37. Bommarito S, Peyret N, Santa Lucia J: Thermodynamic parameters for DNA sequences with dangling ends. Nucleic Acids Res. 2000, 28: 1929-1934. 10.1093/nar/28.9.1929.View ArticlePubMedPubMed CentralGoogle Scholar
  38. Iannelli F, Giunti L, Pozzi G: Direct sequencing of long polymerase chain reaction fragments. Mol Biotechnol. 1998, 2: 183-5.View ArticleGoogle Scholar
  39. Rasmussen R: Quantification on the LightCycler. Rapid Cycle Real-Time PCR Methods and Applications. Edited by: Meuer S, Wittwer C, Nakagawara K. 1998Google Scholar
  40. Wittwer C: Rapid Cycle Real Time PCR: Methods and Applications. Rapid Cycle Real-Time PCR Methods and Applications. Edited by: Meuer S, Wittwer C, Nakagawara K. 2001, 1-8.View ArticleGoogle Scholar
  41. Cortelli SC, Jorge AO, Cortelli JR, Jordan SF, Haraszthy V: Detection of highly and minimally leukotoxic Actinobacillus actinomycetemcomitans strains in patients with parodontal disease. Pesqui Odontol Bras. 2003, 17: 183-188. 10.1590/S1517-74912003000200016.View ArticlePubMedGoogle Scholar
  42. Beck JD, Offenbacher S: Systemic effects of periodontitis epidemiology of periodontal disease and cardiovascular disease. J Periodontol. 2005, 76: 2089-100. 10.1902/jop.2005.76.11-S.2089.View ArticlePubMedGoogle Scholar
  43. Socransky SS, Haffajee AD, Cugini MA, Smith C, Kent RL: Microbial complexes in subgingival plaque. J Clin Periodontol. 1998, 25: 134-44. 10.1111/j.1600-051X.1998.tb02419.x.View ArticlePubMedGoogle Scholar
  44. Tamura K, Nakano K, Hayashibara T, Nomura R, Fujita K, Shintani S, Ooshima T: Distribution of 10 periodontal bacteria in saliva samples from Japanese children and their mothers. Arch Oral Biol. 2005Google Scholar
  45. Cao SL, Progulske-Fox A, Hillman JD, Handfield M: In vivo induced antigenic determinants of Actinobacillus actinomycetemcomitans. FEMS Microbiol Lett. 2004, 237: 97-103. 10.1111/j.1574-6968.2004.tb09683.x.View ArticlePubMedGoogle Scholar
  46. Yang HW, Asikainen S, Dogan B, Suda R, Lai CH: Relationship of Actinobacillus actinomycetemcomitans serotype b to aggressive periodontitis: frequency in pure cultured isolates. J Periodontol. 2004, 75: 592-599. 10.1902/jop.2004.75.4.592.View ArticlePubMedGoogle Scholar
  47. Leung WK, Ngai VK, Yau JY, Cheung BP, Tsang PW, Corbet EF: Characterization of Actinobacillus actinomycetemcomitans isolated from young Chinese aggressive periodontitis patients. J Parodontal Res. 2005, 40: 258-268. 10.1111/j.1600-0765.2005.00805.x.View ArticleGoogle Scholar
  48. Nonnenmacher C, Dalpke A, Mutters R, Heeg K: Quantitative detection of periodontopathogens by real-time PCR. J Microbiol Methods. 2004, 59: 117-125. 10.1016/j.mimet.2004.06.006.View ArticlePubMedGoogle Scholar
  49. Cortelli JR, Cortelli SC, Jordan SH, Zambon JJ: Prevalence of periodontal pathogens in Brazilians with aggressive or chronic periodontitis. Journal Of Clinical Periodontology. 2005, 32: 860-866. 10.1111/j.1600-051X.2005.00777.x.View ArticlePubMedGoogle Scholar
  50. Program "HYTHER". [http://ozone.chem.wayne.edu/]
  51. BLAST. [http://www.ncbi.nlm.nih.gov/BLAST/]

    52. Pre-publication history

    1. The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2334/6/98/prepub

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