Abstract
It has been suggested that the response to bacterial products (DNA, toxins, antigens, superantigens) may modify the inflammation pattern and severity in allergy and asthma in two directions: protection or reduction versus enhancement of the allergic inflammation (Renz & Herz, 2002). This bidirectional impact of bacteria is dependent on the timing of exposure and antigens involved, acting differently on the hypothesized T helper (Th)1/Th2 cell balance. Recent evidence in vitro suggested that the Th2-polarized response may have a negative impact on the innate immune host response to bacteria (Rate et al., 2009; Ramanathan et al., 2008). However, there are no studies in vivo that have analysed inflammatory cells activation related to bacterial colonization of the sinuses in CRS. This study was conducted in order to identify the pattern and intensity of the local granulocyte response to bacterial colonization in CRS, comparing asthmatics and non-asthmatics.
It has been suggested that the response to bacterial products (DNA, toxins, antigens, superantigens) may modify the inflammation pattern and severity in allergy and asthma in two directions: protection or reduction versus enhancement of the allergic inflammation (Renz & Herz, 2002). This bidirectional impact of bacteria is dependent on the timing of exposure and antigens involved, acting differently on the hypothesized T helper (Th)1/Th2 cell balance. Recent evidence in vitro suggested that the Th2-polarized response may have a negative impact on the innate immune host response to bacteria (Rate et al., 2009; Ramanathan et al., 2008). However, there are no studies in vivo that have analysed inflammatory cells activation related to bacterial colonization of the sinuses in CRS. This study was conducted in order to identify the pattern and intensity of the local granulocyte response to bacterial colonization in CRS, comparing asthmatics and non-asthmatics.
Study population. The study was conducted with a group of 21 asthmatic (mean age 37.21 years, range 18–63) and 19 non-asthmatic (mean age 41.31 years – range 18–62) patients with CRS, who were scheduled for endosinusal treatment for persisting symptoms following unsuccessful long-term conservative treatment, and in 3 cases, surgical treatment. Medical treatment included topical nasal steroids, nasal saline lavages and, in most of the patients, long-term low dose macrolides, and, upon exacerbation, short-course antibiotics. The three cases were the only nasal polyp patients, with small polyp recurrence within the middle meatus (two patients from the asthma group and one from the non-asthma group).Study design and inclusion/exclusion criteria. All patients gave their informed consent and the study was approved by the ethics committee of University Hospital Sestre Milosrdnice, Zagreb. Inclusion criteria were: more than 12 weeks of CRS symptoms/endoscopy/radiology, criteria established in a European position paper (EPOS) on rhinosinusitis and nasal polyps (Fokkens et al., 2007) plus an additional >10 mm mucosal thickening in at least one maxillary sinus on sinus CT, and, for the asthma group, mild to moderately severe asthma. Patients with systemic steroid or antibiotic treatment within the 4 weeks before enrolment, recent upper respiratory infection, suspected sinusitis of dental origin, severe asthma, increased C-reactive protein and those with nasal polyps out of middle meatus at endoscopy were excluded. As all of the patients had received long-term nasal steroids during the previous year, they were asked to stop nasal topical steroid treatment 2 weeks before antrostomy. Asthmatics were allowed to take their medication, including inhaled steroids.
Procedures and assessment techniques. After disinfection of the nasal vestibule and inferior meatus with ethanol, a sterile trocar was introduced into the maxillary sinus by unilateral or bilateral inferior maxillary antrostomy under local anaesthesia, and 30 s after injection of 5 ml saline into the sinus, lavage was aspirated into a syringe, and samples sent for bacteriological and cellular marker analysis. Samples for cellular marker determination were stored at room temperature for 2 h, centrifuged at 1000 g for 10 min and placed in a refrigerator at –20 °C. Eosinophil cationic protein (ECP) was analysed by fluoroenzyme immunoassay and myeloperoxidase (MPO) by radioimmunoassay.
Bacteriological samples were transported to the Microbiology Laboratory (Department of Clinical Microbiology, University Hospital Sestre Milosrdnice) for routine cultivation of bacteria. Samples were inoculated onto blood agar, chocolate agar, blood agar containing nalidixic acid and MacConkey agar plates for growth of aerobic and facultative organisms. They were incubated at 37 °C aerobically (MacConkey agar) or under 5 % carbon dioxide (blood agars) and examined at 24 and 48 h. For anaerobes, the sample was plated onto Schaedler agar (vitamin K1-enriched blood agar) and brain heart agar with nalidixic acid. After 48 h they were cultured in thioglycollate broth and any growth in this broth was subcultured into blood agar, and incubated both aerobically and anaerobically. Aerobic and anaerobic bacteria were identified by techniques described (Koneman et al., 1997). The lower limit of culture detection was approximately 100 c.f.u. (ml sample)–1.
Statistical analysis. The normality of distribution was tested using the Smirnoff–Kolmgorov test. Student's t-test was used to detect the difference in levels of cellular activation markers between the groups for parameters demonstrating normal distribution, or the Mann–Whitney U test was used if the data did not show normal distribution. Correlations were calculated with the paired-samples correlation test and the Spearman rank correlation test. The statistical significance of the difference in the prevalence of bacteria recovered between the groups was calculated by the chi-square test using the Yates's correction. All conclusions were based on a significance level of P<0.05.
BacteriologyBacterial growth was present in 20 of the 32 (62.5 %) lavage specimens from the asthmatic patients and in 21 of the 34 (61.7 %) from the non-asthmatic patients. Pathogens isolated in both groups are presented in Table 1. Polymicrobial growth was recorded in approximately 20 % of samples in both groups.
Table 1. Bacterial strains detected in sinus lavages from asthmatic and non-asthmatic patients Data are presented as the total number of strains recovered.
The recovery rate from the samples of chronic maxillary sinusitis for both aerobic and anaerobic bacteria, varied in different studies from 45 % (Paju et al., 2003) to 92 % (Brook, 1989), and is dependent on adequate sampling, cultivating and detection techniques. Gram-positive aerobes and anaerobes are much more common than Gram-negative bacteria, while previous surgery predisposes for an increased rate (up to 25 %) of Gram-negative bacteria (Brook & Frazier, 2001). The recovery rate for aerobic bacteria in our study was similar to that found in the literature. Anaerobes were isolated in approximately 1/3 colonized samples for both groups. The recovery rate for anaerobes from the aspirates in CRS varied from 21 (Newman et al., 1994) to 88 % (Brook, 1989) in the literature. Such variability in the recovery rates of anaerobes is probably more related to the methodology of sampling (Karma et al., 1979; Brook, 1989) than the sensitivity of detection techniques, like PCR (Paju et al., 2003). The high rate of Gram-negative bacteria in our patients (in 12/41 colonized samples), may be attributed to the long-term courses of antibiotics targeting Gram-positive bacteria, and, in some patients, colonization from the steroid spray nasal tips and nasal saline washings. The previous surgery was the predisposing factor in 2/3 patients in our study who had been operated upon. The difference between the recovery rate, the rates of Gram-positive, Gram-negative and anaerobic bacteria and polymicrobial growth between the groups was not significant.
Interestingly, asthmatics and non-asthmatics had a completely different pattern of Gram-negative bacteria (100 % dissimilarity). Strains from the asthmatics (Pseudomonas, Serratia) resembled a nosocomial pattern, also in the antimicrobial resistance, while in non-asthmatics, predominantly Haemophilus and Klebsiella were found. Pseudomonas was found in three samples from the two patients who had been previously operated upon, inducing marked granulocyte activation, which was not the case with Serratia. We may speculate that the asthmatics had greater exposure to the nosocomial bacteria found in their samples (due to previous surgery and asthma control visits), as courses of antibiotic treatment were not more common in the asthma group. The asthmatics were also on higher doses of steroids, as they were treated both with nasal and inhaled steroids, and were probably more compliant to nasal steroid treatment; however, there is no evidence that steroid treatment may lead to changes in bacterial pattern in the sinuses. Haemophilus and Klebsiella, which were found in samples from non-asthmatic patients, are more common respiratory pathogens, and they did not induce marked granulocyte activation in these samples. We may speculate that those bacteria, more often found in acute rhinosinusitis, remained in low numbers and were not eradicated after acute exacerbations. Staphylococcus aureus was the most common Gram-positive strain in both groups, and the microbial pattern of anaerobes was similar between the groups.
Granulocyte activation markers in the sinus lavage
The data from the samples from the asthma group (but not from the non-asthma group) passed the Smirnoff–Kolmgorov test for normal distribution; however, due to the skewed distribution curve and small sample size, our biostatistician suggested the use of non-parametric tests for all calculations, so the Mann–Whitney U test was used for all comparisons between the groups. According to bacteriology, lavages were divided according to sterile and colonized (including commensals), and by asthmatics and non-asthmatics groups, forming four subgroups. Table 2 summarizes granulocyte marker (ECP and MPO) concentrations in all four subgroups.
Table 2. Concentration of ECP and MPO from lavages of asthmatic and non-asthmatic patients with CRS presented as the median and 95 % confidence intervals (95 % CI) of median The significance of the difference between colonized and sterile lavages is marked with S for significant and NS for non-significant (Mann–Whitney U test); all conclusions were based on a significance level of P<0.05.
ECP levels in both asthmatic groups were significantly higher than in the non-asthmatics group (Fig. 1). The difference between colonized and sterile asthmatics was not significant. MPO levels were significantly higher in the colonized than in the sterile samples from asthmatics and non-asthmatics (Fig. 2) (P=0.004, Man–Whitney U test). In non-asthmatics ECP and MPO were not significantly different between colonized and sterile lavages. In most of the cases of non-asthmatics with CRS, bacterial presence did not activate leukocytes and the median values of not only ECP, but also MPO, values were much lower than in the asthmatics group. The median value of ECP in the colonized and sterile lavages for the asthmatic patients was almost the same (33.65 and 30.45 µg l–1, respectively). However, almost 30 % of samples from the asthmatic patients with colonized sinuses had >150 µg l–1, compared to <10 % of samples from those with sterile sinuses. However, although the mean MPO level in samples from non-asthmatic patients was much higher in the infected sinuses, the median was almost the same in infected and sterile samples, and 4/21 infected samples had <50x median value and 3/13 sterile samples had <20x median value. The correlation between ECP and MPO was significant only in the infected asthmatics subgroup (P=0.709, P<0.0001, Spearman rank correlation test). Similarly to our findings, a significant correlation between ECP and MPO, but not related to bacterial growth, has been found in the bronchoalveolar lavage of the allergic and non-allergic asthmatics (Frangova et al., 1996) and chronic bronchitis patients (White et al., 2003).
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The data from the lower airways indicate that inflammation in the stable phase of COPD is influenced by bacterial colonization (Sethi et al., 2006), as well as exacerbation rate (Patel et al., 2004). Some earlier studies of COPD and chronic bronchitis have shown that bacterial presence, especially Streptococcus pneumoniae, significantly increased ECP and MPO in bronchial lavage even in the stable phase (Riise et al., 1995). Lower inflammatory cell activity and proinflammatory cytokines in the sputum were found in exacerbated COPD in those patients where bacteria were eradicated (White et al., 2003). The highest values of both granulocyte markers in our study were found in samples where Pseudomonas aeruginosa was cultivated (10–50x median), followed by Staphyloccocus aureus (data not shown). Concentrations of MPO in the lavages where Streptococcus pneumoniae and Haemophilus influenzae (strains typical for exacerbations of CRS) were cultivated, were close to mean values (data not shown). Most of the studies on inflammation in CRS from the literature have focused on host-related factors, like differences between allergic and non-allergic states (Suzuki et al., 1999). Environmental or microbial impacts on the severity of CRS were not considered so important, as the disease is perceived more like a chronic inflammation than infection. During the past decade attention has been drawn to the impact of bacterial superantigens, presumably Staphylococcus aureus enterotoxins, on the severity of allergic inflammation, first in the skin (Bunikowski et al., 1999) and then in the airways (Conley et al., 2004). It was shown that the proportion of patients with specific IgE antibodies to Staphylococcus aureus enterotoxins increased with the severity of airway inflammation, and was much higher in patients with severe asthma and nasal polyps than in patients with the plain CRS (Gevaert et al., 2005).
The results of our study confirmed the hypothesis that bacterial colonization may have an impact on local neutrophil activation in chronic maxillary sinusitis in asthmatic patients, as a specific subgroup among patients with CRS. The small number of patients, and the broad inclusion criteria, prevented us from proving a significant impact of certain bacterial antigens on eosinophil activation in the asthmatics, although the mean ECP level was much higher in the colonized samples. However, results indicate that eosinophilic inflammation is not downregulated by bacterial colonization (acting on hypothesized Th1/Th2 balance), on the contrary, significant correlation between ECP and MPO in samples with bacterial growth suggests a trend towards simultaneous activation of neutrophilic and eosinophilic granulocytes influenced by certain bacterial antigens and toxins. Colonization with Staphylococcus aureus and P. aeruginosa resulted in high granulocyte activation in our patients. Interestingly, these bacteria are also the main biofilm producers in the airways (Ramadan et al., 2005).
An impact of bacteria on leukocyte activation in non-asthmatics was not proven to be significant, but the sample size was too small to draw final conclusions. The results, so far, indicate that the impact of bacterial colonization on granulocyte activation in chronic inflammation is dependent on specific interaction of host and bacterial antigens, where asthma is one of the predisposing host-related factors leading to a stronger response of sinus mucosa to bacterial antigens and toxins.
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