| Literature DB >> 22522561 |
Min Li1, Xin Du, Amer E Villaruz, Binh An Diep, Decheng Wang, Yan Song, Yueru Tian, Jinhui Hu, Fangyou Yu, Yuan Lu, Michael Otto.
Abstract
The molecular processes underlying epidemic waves of methicillin-resistant Staphylococcus aureus (MRSA) infection are poorly understood(1). Although a major role has been attributed to the acquisition of virulence determinants by horizontal gene transfer(2), there are insufficient epidemiological and functional data supporting that concept. We here report the spread of clones containing a previously extremely rare(3,4) mobile genetic element–encoded gene, sasX. We demonstrate that sasX has a key role in MRSA colonization and pathogenesis, substantially enhancing nasal colonization, lung disease and abscess formation and promoting mechanisms of immune evasion. Moreover, we observed the recent spread of sasX from sequence type 239 (ST239) to invasive clones belonging to other sequence types. Our study identifies sasX as a quickly spreading crucial determinant of MRSA pathogenic success and a promising target for therapeutic interference. Our results provide proof of principle that horizontal gene transfer of key virulence determinants drives MRSA epidemic waves.Entities:
Mesh:
Year: 2012 PMID: 22522561 PMCID: PMC3378817 DOI: 10.1038/nm.2692
Source DB: PubMed Journal: Nat Med ISSN: 1078-8956 Impact factor: 53.440
Figure 4SasX is a key virulence determinant during MRSA skin and lung infection. (a,d) Skin infection. Outbred, immune-competent, hairless mice were inoculated with 109 CFU of the ST239 or ST5 wild-type and isogenic sasX mutant strains. (b,c,e) Lung infection. Female ICR mice were inoculated in the noses with 109 CFU/20 μl of the ST239 or ST5 wild-type and isogenic sasX mutant strains. Mice were euthanized at day five post infection for subsequent analyses. (a) Skin infection model, developing abscess areas (see representative images on the right). Differences between corresponding wild-type and mutant abscess sizes were statistically significant at every time point (unpaired t-tests, P < 0.05). (b) Lung infection model, lung wet weight/body weight ratios. (c) Lung infection model, concentration of tumor necrosis factor α (TNF-α) in lung tissue samples. (d) Skin infection model, hematoxylin/eosin (HE) stained tissue samples. (e) Lung infection model, HE stained tissue samples. Note increased number of infiltrating inflammatory cells in wild-type sample pictures in (d) and extensive inflammation accompanied by hemorrhagic infiltration and disruption of pulmonary architecture in wild-type sample pictures in (e). Statistical analyses in (b,c) are by unpaired t-tests.