Molecular Typing of Australian Scedosporium Isolates Showing Genetic Variability and Numerous S. aurantiacum
2008

Molecular Typing of Australian Scedosporium Isolates

Sample size: 146 publication 10 minutes Evidence: moderate

Author Information

Author(s): Delhaes Laurence, Harun Azian, Chen Sharon C.A., Nguyen Quoc, Slavin Monica, Heath Christopher H., Maszewska Krystyna, Halliday Catriona, Robert Vincent, Sorrell Tania C., Meyer Wieland

Primary Institution: Westmead Hospital, Westmead, New South Wales, Australia

Hypothesis

What is the genetic variability among Australian Scedosporium isolates?

Conclusion

The study identified genetic diversity among Scedosporium isolates and dismissed two suspected outbreaks.

Supporting Evidence

  • Three distinct genetic groups were identified among the isolates.
  • Scedosporium prolificans was the most common species isolated.
  • Genetic variability was highest in Scedosporium apiospermum isolates.
  • No correlation was found between genotype and geographic origin.
  • ITS-RFLP analysis effectively distinguished between S. aurantiacum and S. apiospermum.
  • Coincident building construction was noted in 22.5% of cases.
  • Invasive disease was more likely to be caused by S. prolificans.

Takeaway

Scientists looked at different Scedosporium germs from patients in Australia and found that they are all a bit different from each other.

Methodology

The study used internal transcribed spacer–restriction fragment length polymorphism (ITS-RFLP) analysis, ITS sequencing, and PCR fingerprinting to genotype the isolates.

Potential Biases

Potential bias due to the limited number of isolates from specific patient populations.

Limitations

The study may not represent all geographic regions or patient populations due to its focus on Australian isolates.

Participant Demographics

The study included 119 patients, with a male to female ratio of 1.3:1.

Statistical Information

P-Value

0.002

Confidence Interval

2.0, 14.2

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.3201/eid1402.070920

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