| Literature DB >> 24772108 |
Maria Trancassini1, Valerio Iebba1, Nicoletta Citerà1, Vanessa Tuccio1, Annarita Magni1, Paola Varesi1, Riccardo V De Biase2, Valentina Totino1, Floriana Santangelo1, Antonella Gagliardi1, Serena Schippa1.
Abstract
Cystic fibrosis (CF) patients have chronic airway infection and frequent exposure to antibiotics, which often leads to the emergence of resistant organisms. Achromobacter xylosoxidans is a new emergent pathogen in CF spectrum. From 2005 to 2010 we had an outbreak in A. xylosoxidans prevalence in our CF center, thus, the present study was aimed at deeply investigating virulence traits of A. xylosoxidans strains isolated from infected CF patients. To this purpose, we assessed A. xylosoxidans genome variability by randomly amplified polymorphic DNA (RAPD), biofilm production, antibiotic resistances, and motility. All A. xylosoxidans strains resulted to be biofilm producers, and were resistant to antibiotics usually employed in CF treatment. Hodge Test showed the ability to produce carbapenemase in some strains. Strains who were resistant to β-lactamics antibiotics, showed the specific band related to metal β-lactamase (blaIMP-1), and some of them showed to possess the integron1. Around 81% of A. xylosoxidans strains were motile. Multivariate analysis showed that RAPD profiles were able to predict Forced Expiratory Volume (FEV1%) and biofilm classes. A significant prevalence of strong biofilm producers strains was found in CF patients with severely impaired lung functions (FEV1% class 1). The outbreak we had in our center (prevalence from 8.9 to 16%) could be explained by an enhanced adaptation of A. xylosoxidans in the nosocomial environment, despite of aggressive antibiotic regimens that CF patients usually undergo.Entities:
Keywords: Achromobacter xylosoxidans; Cystic fibrosis; RAPD; antimicrobial resistance; biofilm; motility
Year: 2014 PMID: 24772108 PMCID: PMC3982067 DOI: 10.3389/fmicb.2014.00138
Source DB: PubMed Journal: Front Microbiol ISSN: 1664-302X Impact factor: 5.640
Patients' demographics and strains characteristics.
| 1 | 20 | 2 | 48.0 | 1.70 | 16.6 | 129 | M | 1 | ATM, GM, NN | 17.7 |
| 1 | 47.0 | 1.70 | 16.2 | 157 | W | 1 | ATM, GM, NN | 23.7 | ||
| 2 (K) | 42 | na | 76.5 | 1.82 | 23.1 | 232 | S | 1 | AN, ATM, FEP, CIP, GM, MER, PIP, TIM, NN | 13.0 |
| 3 | 56 | 2 | 80.0 | 1.65 | 29.4 | 66 | W | 0 | AN, ATM, FEP, CIP, GM | 26.3 |
| 4 | 6 | na | 19.2 | 1.10 | 15.9 | 180 | M | 1 | AN, ATM, FEP, CIP, GM, NN | 24.3 |
| 5 | 44 | 1 | 60.0 | 1.74 | 19.8 | 128 | S | 1 | AN, ATM, FEP, CIP, CS, GM, MN, NN | na |
| 2 | 60.0 | 1.74 | 19.8 | 147 | W | 1 | AN, FEP, CIP, GM, NN | 22.7 | ||
| 3 | 60.0 | 1.74 | 19.8 | 248 | S | 1 | AN, ATM, FEP, CIP, GM, NN | na | ||
| 6 | 36 | 1 | 41.0 | 1.55 | 17.1 | 35 | M | 0 | AN, ATM, FEP, CIP, GM, NN | 35.7 |
| 2 | 50.0 | 1.55 | 20.8 | 241 | S | 0 | ATM, FEP, CIP, GM, MER, MN, NN | 28.3 | ||
| 7 | 34 | 1 | 44.0 | 1.65 | 16.2 | 145 | S | 0 | AN, ATM, FEP, CIP, CS, GM, MN, NN | na |
| 8 | 32 | 3 | 62.8 | 1.69 | 21.9 | 53 | W | 1 | AN, ATM, GM | 52.3 |
| 2 | 61.0 | 1.69 | 21.3 | 228 | S | 1 | AN, ATM, FEP, CIP, GM, PIP, NN | na | ||
| 2 | 61.0 | 1.69 | 21.3 | 229 | W | 1 | AN, ATM, FEP, CIP, GM, MN, NN | 23.7 | ||
| 9 | 23 | 1 | 45.0 | 1.78 | 14.2 | 209g | S | 1 | ATM, MER | 31.0 |
| 1 | 45.0 | 1.78 | 14.2 | 209p | S | 1 | FEP, CIP, MER | 28.0 | ||
| 10 | 15 | 3 | 40.8 | 1.51 | 17.9 | 144 | S | 1 | AN, ATM, FEP, GM, PIP, NN | 29.3 |
| 11 | 48 | 1 | 52.0 | 1.63 | 19.6 | 4 | S | 1 | AN, ATM, FEP, CAZ, CIP, GM, IPM, MER, PIP, TIM, NN | 23.7 |
| na | 55.0 | 1.64 | 20.5 | 276 | S | 1 | AN, ATM, FEP, CIP, GM, NN | 56.3 | ||
| na | 55.0 | 1.64 | 20.4 | 277 | S | 1 | AN, ATM, FEP, CIP, GM, NN | 52.3 | ||
| 12 | 35 | 1 | 68.4 | 1.72 | 23.1 | 77 | M | 0 | AN, ATM, FEP, CIP, GM, NN | 39.7 |
| 1 | 68.4 | 1.72 | 23.1 | 287 | M | 0 | AN, ATM, FEP, CIP, CS, GM, MN, NN | 50.3 | ||
| 13 | 5 | na | 21.7 | 1.10 | 17.8 | 162 | W | 0 | AN, ATM, CS, GM | 52.3 |
| 14 | 19 | 2 | 58.3 | 1.70 | 20.2 | 84 | S | 1 | ATM, GM | na |
| 15 | 7 | 3 | 19.6 | 1.20 | 13.6 | 101p | M | 0 | AN, ATM, CS, GM, NN | 9.7 |
| 16 | 23 | 1 | 40.0 | 1.56 | 16.4 | 266 | S | 1 | GM, NN | 14.7 |
| 1 | 40.0 | 1.56 | 16.4 | 278 | S | 1 | AN, GM, NN | 14.0 | ||
| 17 | 24 | 1 | 52.0 | 1.61 | 20.1 | 252 | S | 0 | AN, ATM, CIP, GM, MN, NN | na |
| 18 | 21 | 2 | 60.0 | 1.67 | 21.5 | 222 | W | 0 | ATM, CIP | 56.3 |
| 19 | 34 | 1 | na | na | na | 116 | S | 1 | AN, ATM, CIP, GM, NN | 23.0 |
| na | 48.5 | 1.70 | 16.8 | 267 | S | 1 | AN, ATM, FEP, CIP, CS, GM, NN | 21.3 | ||
| 20 | 8 | 2 | 21.3 | 1.21 | 14.5 | 207 | M | 0 | GM | 30.7 |
| 21 | 37 | 2 | 58.0 | 1.67 | 20.8 | 251 | S | 1 | AN, ATM, FEP, CAZ, CIP, GM, IPM, TIM, NN | 61.7 |
| 22 | 6 | 3 | 23.0 | 1.23 | 15.2 | 153 | S | 0 | – | na |
| 23 (B) | 61 | na | na | na | na | 291 | S | 0 | ATM, GM | 31.0 |
| 24 (B) | 51 | na | na | na | na | 230 | S | 0 | AN, ATM, CS, GM | 43.7 |
| 25 | 22 | 2 | 68.0 | 1.88 | 19.2 | 167p | S | 0 | AN, ATM, FEP, CIP, GM, MN, PIP, NN | na |
| 26 | 21 | 3 | 53.0 | 1.68 | 18.8 | 226 | M | 1 | AN, ATM, FEP, CIP, GM, MN, NN | 42.7 |
| 27 | 24 | 3 | 40.0 | 1.51 | 17.5 | 133 | S | 0 | AN, ATM, FEP, CIP, CS, GM, NN | na |
| 2 | 40.0 | 1.51 | 17.5 | 231 | M | 0 | AN, ATM, FEP, CS, GM | 9.3 | ||
| 28 | 26 | 1 | 48.0 | 1.56 | 19.7 | 68 | S | 0 | AN, ATM, GM, NN | 35.0 |
| 29 | 22 | 3 | 67.0 | 1.82 | 20.2 | 247 | S | 0 | ATM | 40.3 |
| 30 | 21 | 3 | 62.6 | 1.73 | 20.9 | 225 | S | 0 | AN, ATM, FEP, CIP, GM, NN | 55.7 |
| 31 | 44 | 1 | 49.0 | 1.56 | 20.1 | 24 | S | 0 | ATM, GM, MN, NN | 20.3 |
| 32 | 14 | 3 | 56.0 | 1.60 | 21.8 | 49 | M | 1 | AN, ATM, GM | 54.0 |
| 3 | 56.5 | 1.60 | 22.1 | 50 | M | 1 | ATM | 53.0 | ||
| 33 | 43 | 2 | 52.0 | 1.67 | 18.6 | 275 | M | 1 | AN, ATM, FEP, CIP, GM, NN | 8.3 |
| 34 | 1 | na | 8.6 | 0.72 | 16.3 | 215 | M | 0 | ATM, NN | 21.7 |
| 35 | 27 | 2 | 55.0 | 1.61 | 21.2 | 90 | M | 0 | AN, ATM, FEP, CIP, CS, GM, NN | 28.3 |
| 1 | 61.6 | 1.60 | 24.1 | 237 | S | 0 | AN, ATM, FEP, CIP, GM, NN | 50.3 | ||
| 36 (K) | 34 | na | 59.0 | 1.63 | 22.2 | 175 | S | 0 | AN,. ATM, FEP, CIP, GM, NN | 33.7 |
| 37 | 36 | 1 | 49.6 | 1.61 | 19.1 | 213 | S | 1 | AN, FEP, CIP, GM, MN | 11.7 |
| 38 (K) | 26 | na | na | na | na | 67 | S | 0 | AN, ATM, GM | 43.0 |
| 39 | 30 | 3 | 52.7 | 1.65 | 19.3 | 249 | M | 1 | AN, FEP, CS, IPM, MER, PIP | 22.7 |
| 3 | 52.7 | 1.65 | 19.3 | 250 | S | 1 | AN, ATM, FEP, CIP, GM, IPM, TIM, NN | na | ||
| 3 | 54.9 | 1.65 | 20.2 | 218g | M | 1 | AN, ATM, FEP, CIP, GM, NN | 55.0 | ||
| 3 | 54.9 | 1.65 | 20.2 | 218p | S | 1 | FEP, CIP, IPM, MN | na |
K, Kartagener syndrome; B, blood culture.
na, not available.
Letters g and p stand for different morphologies of the A. xylosoxidans colony grown on BCSA.
Biofilm class was assessed after PLS-DA model.
Resistances were determined by automated Vitek 2 system: ATM, aztreonam; GM, gentamicin; AN, amikacin; NN, tobramycin; FEP, cefepime; CIP, ciprofloxacin; CS, colistin; MN, minociclin; MER, meropenem; PIP, piperacillin; IPM, imipenem; TIM, ticarcillin-clavulanic acid; CAZ, ceftazidime; and TZP, piperacillin + tazobactam.
Figure 1Ascendent Hierarchical Clusterization (AHC). A dendrogram based on RAPD profiles of A. xylosoxidans strains was generated by means of inverse Euclidean distance dissimilarity matrix and agglomeration method of Ward. Two clusters are visible (A and B) based upon a threshold set at 28% of similarity. No known variable was responsible in defining such a cluster formation (for all variables, P > 0.05).
Figure 2Distribution of antibiotic resistances among . Fourteen antibiotics (x axis) were tested with Vitek 2 instrument: ATM, aztreonam; GM, gentamicin; AN, amikacin; NN, tobramycin; FEP, cefepime; CIP, ciprofloxacin; CS, colistin; MN, minociclin; MER, meropenem; PIP, piperacillin; IPM, imipenem; TIM, ticarcillin clavulanate; CAZ, ceftazidime; and TZP, piperacillin+tazobactam. On y axis is the fraction of isolates normalized to one. R, resistant; I, intermediate; S, susceptible; ND, indeterminate.
Figure 3. The overall data variation was described by the factorial axes t[1] and t[2]. The predictability of the model, in dividing FEV1% classes, was 84.62% (Fisher's P = 5.2*10−10).
Figure 4. The overall data variation was described by the factorial axes t[1] and t[2]. The predictability of the model, in dividing biofilm classes, was 85.45% (Fisher's P = 5.4*10−11).
Distribution of collected strains among biofilm and FEV1% classes.
| 1 | 14 | 5 | 1 |
| 2 | 6 | 4 | 4 |
| 3 | 8 | 4 | 1 |
| 0 | 5 | 4 | 1 |