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Journal of Clinical Microbiology, October 2008, p. 3491-3493, Vol. 46, No. 10
0095-1137/08/$08.00+0 doi:10.1128/JCM.00357-08
Copyright © 2008, American Society for Microbiology. All Rights Reserved.

Department of Biological Sciences, Warwick University, Coventry CV4 7AL, United Kingdom,1 West Midlands Adult CF Unit, Heart of England Foundation Trust, Birmingham B9 5SS, United Kingdom,2 Department of Microbiology, Heart of England Foundation Trust, Birmingham B9 5SS, United Kingdom3
Received 21 February 2008/ Returned for modification 29 March 2008/ Accepted 26 July 2008
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We examined 153 isolates from 40 adult patients with CF who had been infected with P. aeruginosa for at least 12 months. From their sputum samples (one to nine per patient, mean of three), isolates identified as P. aeruginosa by growth on isolation agar were tested against a panel of nine antimicrobials (ciprofloxacin, ceftazidime, piperacillin-tazobactam, gentamicin, meropenem, tobramycin, colistin, amikacin, and aztreonam) using the standard BSAC agar disk diffusion technique (2). Different morphotypes were tested separately (one to two per sample). Hypermutators were identified by using growth on rifampin-containing agar as described previously (11) but using the Miles-Misra dilution, counting colonies in 10-µl spots of serial dilutions (14). Ethical approval was granted by the local Research Ethics Committee.
A total of 47 isolates (30.7%) were hypermutators, and 16 patients (40.0%) had at least one hypermutator, in keeping with previous studies (3, 16). Patients with hypermutators had significantly worse lung function (Table 1), for which there are several possible explanations. Hypermutator prevalence increases with duration of infection (3), and it is possible that worse lung function is merely a marker of longer infection. Patients with worse lung function might also be expected to undergo more frequent antimicrobial courses, which might select for hypermutator development, although we did not find an association between frequency of intravenous courses and hypermutator phenotype. A further possibility is that patients with poorer lung function seek medical advice more frequently and therefore provide more sputum samples, thus increasing the likelihood of detection of hypermutators. Consistent with this possibility, patients with hypermutators provided more sputum samples during the period of the present study (Table 1).
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TABLE 1. Patient demographics and clinical dataa
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2 test, P < 0.001). Alhough this is the first time this association has been demonstrated, it is not surprising because both of these phenotypes increase with duration of infection in the CF lung (3, 10). The mucoid phenotype is thought to protect bacteria against certain antimicrobials (1, 7), innate immune factors (9), and reactive oxygen species (8), and hypermutators increase the fitness of a bacterial population undergoing stress and increase the likelihood of antimicrobial resistance (11, 13, 15, 17). There may also be an interaction between the two phenotypes; hypermutators undergo mutations at a higher rate and are therefore more likely to acquire a mutation resulting in the mucoid phenotype.
Hypermutators were not resistant to more of the panel of nine antimicrobials than nonhypermutators (mean, 2.81 versus 2.86; Mann-Whitney U test, P = 0.971), although significantly fewer were pansensitive (13% versus 27%;
2, P = 0.047). A receiver-operator-characteristic curve describing resistance as a potential test for hypermutator phenotype had an area under the curve of 0.502 (where 0.5 indicates the test is no better than chance), implying a very poor predictive power (Fig. 1A). This was surprising given previous findings that hypermutators had higher MICs than nonhypermutators (3, 11, 15, 16). Although the use of MICs would have given more detailed data, most clinical laboratories use the disk diffusion method, and so our results are of practical interest. While the unreliability of disk diffusion in chronic P. aeruginosa infection should be borne in mind (6), it is likely that, in this particular population, the association between resistance and hypermutator phenotype was weakened by another factor. Consistent with this explanation was the presence of epidemic strains in the data set; as determined by multilocus sequence typing, 50% of the typed isolates were double-locus variants of previously described epidemic strains (Clone C, Midlands-1, and Liverpool). Also, our patients were all adults and would therefore have been exposed to more antimicrobials and thus developed more antimicrobial resistance.
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FIG. 1. Receiver-operator-characteristic curve for tests of hypermutator status using resistance (0 to 9) (A) and resistant mutant subpopulations (B).
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Nine (45%) hypermutators had RMS in three or more antimicrobial disk zones, compared to two (10%) nonhypermutators (
2 test, P = 0.013), replicating the association demonstrated by Macia et al. (12). In contrast to those results, the association noted here was not strong enough to allow RMS to be used as a test for hypermutators in our population. Macia et al.'s cutoff of three or more RMS to identify a hypermutator would give a sensitivity of 45% and a specificity of 90%, and the receiver-operator-characteristic curve for RMS as a test of hypermutator phenotype would have an area under the curve of 0.703 (Fig. 1B). This contradictory finding may be, as discussed for antimicrobial resistance, a result of differences between the patient and microbiological populations between the two studies. If so, it is important that laboratories considering the use of RMS as a screening test for hypermutators are aware of the problem.
In summary, hypermutators from this population of adult CF patients were not resistant to more antimicrobials than nonhypermutators, as tested by the disk diffusion method, but were significantly associated with the mucoid morphotype. In contrast to previous results, resistant mutant subpopulations could not be used to test for the hypermutator phenotype. Hypermutator presence was significantly associated with poorer lung function, although this variable was correlated with the number of sputum samples provided.
We thank Cerith Harries (Warwick University), Alan Jackson, Helen Charles, and the rest of the sputum lab and BSAC bench at the Heart of England Foundation Trust microbiology laboratory. We also thank Adam Baldwin, Frances Bolt, Anna Gao, and Eleanor Pinnock for their help and support with laboratory work.
Published ahead of print on 6 August 2008. ![]()
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