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Dive into the research topics where Mitchell Brown is active.

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Featured researches published by Mitchell Brown.


Journal of Clinical Microbiology | 2006

Multiplex PCR-Based Reverse Line Blot Hybridization Assay To Identify 23 Streptococcus pneumoniae Polysaccharide Vaccine Serotypes

Fanrong Kong; Mitchell Brown; Archcna Sabananthan; Xianyu Zeng; Gwendolyn L. Gilbert

ABSTRACT We developed a multiplex PCR-based reverse line blot assay to identify 23 pneumococcal serotypes represented in the polysaccharide vaccine, using 334 well-characterized isolates, representing all 90 serotypes, and 268 “unknowns.” The assay identified all target serotypes, but 11, which cross-react with 1 to 4 nonvaccine serotypes, could be distinguished using serotype-specific antisera.


Journal of Clinical Microbiology | 2013

National Surveillance of Methicillin-Resistant Staphylococcus aureus in China Highlights a Still-Evolving Epidemiology with 15 Novel Emerging Multilocus Sequence Types

Meng Xiao; He Wang; Ying Zhao; Lei-Li Mao; Mitchell Brown; Yunsong Yu; Matthew V. N. O'Sullivan; Fanrong Kong; Ying-Chun Xu

ABSTRACT The global spread of methicillin-resistant Staphylococcus aureus (MRSA) is a serious problem, particularly in mainland China. In order to better understand the national molecular epidemiology and resistance profiles of hospital-associated MRSA (HA-MRSA) in China, a laboratory-based multicenter surveillance study was conducted. Sixty-nine hospitals in 45 large cities in 27 provinces were involved, and a total of 1,141 HA-MRSA isolates were collected during the 6-month study period in 2011. All MRSA isolates were characterized by multilocus sequence typing (MLST), staphylococcal cassette chromosome mec (SCCmec) typing, spa typing, detection of the Panton-Valentine leukocidin (PVL) locus (lukS-PV and lukF-PV), and antibiogram analysis. ST239-III-t030, ST239-III-t037, and ST5-II-t002 were the predominant HA-MRSA clones (overall prevalence rates, 57.1%, 12.9%, and 8.1%, respectively), although the prevalence rates of these major clones varied markedly in different administrative regions. Of note, 6.6% of the HA-MRSA isolates were found to belong to ST59, which had typical community-associated MRSA (CA-MRSA) features, including carriage of SCCmec type IV or V and PVL and less antimicrobial resistance than other major HA-MRSA clones. Moreover, among 36 MLST sequence types (STs) identified, 15 STs, accounting for 3.5% of total isolates, were novel. A novel ST designated ST2590, which is a single-locus variant of ST5-II-t002, was identified in three hospitals in two large cities, with a total of 17 isolates. To further monitor trends in HA-MRSA prevalence, epidemic clonal shifts, clone emergence, and transmission between community and health care settings, longitudinal national MRSA surveillance is required.


Vaccine | 2010

Lack of pneumococcal carriage in the hospitalised elderly.

Iman Ridda; C.R. MacIntyre; Richard Lindley; Peter McIntyre; Mitchell Brown; Shahin Oftadeh; John S. Sullivan; Gwendolyn L. Gilbert

UNLABELLED There have been few surveys of Streptococcus pneumoniae and Neisseria meningitidis carriage in sick or frail elderly people who, with the very young, comprise the group who are at highest risk for pneumococcal disease. We studied pneumococcal carriage among participants in a pneumococcal immunisation study in the frail elderly. METHODS Subjects aged >or=60 years were recruited from a large tertiary referral hospital in Sydney, Australia. Nose and throat swabs were collected at the time of enrolment and 12 months after immunisation. RESULTS Before immunisation, only 1 of 315 participants was identified as a nasal carrier of S. pneumoniae; another was identified as throat carrier of N. meningitidis. None of the participants examined after immunisation was carrying either S. pneumoniae or N. meningitidis. CONCLUSION The low rate of pneumococcal carriage in this population of hospitalised elderly patients was unexpected. The most likely reason is that long-term carriage is rare in this population and suggests that pneumococcal disease primarily follows recent acquisition of S. pneumoniae types not associated with carriage.


Journal of Clinical Microbiology | 2014

Yeast Identification Algorithm Based on Use of the Vitek MS System Selectively Supplemented with Ribosomal DNA Sequencing: Proposal of a Reference Assay for Invasive Fungal Surveillance Programs in China

Li Zhang; Meng Xiao; He Wang; Ran Gao; Xin Fan; Mitchell Brown; Timothy J. Gray; Fanrong Kong; Ying-Chun Xu

ABSTRACT Sequence analysis of the internal transcribed spacer (ITS) region was employed as the gold standard method for yeast identification in the China Hospital Invasive Fungal Surveillance Net (CHIF-NET). It has subsequently been found that matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS) is potentially a more practical approach for this purpose. In the present study, the performance of the Vitek MS v2.0 system for the identification of yeast isolates collected from patients with invasive fungal infections in the 2011 CHIF-NET was evaluated. A total of 1,243 isolates representing 31 yeast species were analyzed, and the identification results by the Vitek MS v2.0 system were compared to those obtained by ITS sequence analysis. By the Vitek MS v2.0 system, 96.7% (n = 1,202) of the isolates were correctly assigned to the species level and 0.2% (n = 2) of the isolates were identified to the genus level, while 2.4% (n = 30) and 0.7% (n = 9) of the isolates were unidentified and misidentified, respectively. After retesting of the unidentified and misidentified strains, 97.3% (n = 1,209) of the isolates were correctly identified to the species level. Based on these results, a testing algorithm that combines the use of the Vitek MS system with selected supplementary ribosomal DNA (rDNA) sequencing was developed and validated for yeast identification purposes. By employing this algorithm, 99.7% (1,240/1,243) of the study isolates were accurately identified with the exception of two isolates of Candida fermentati and one isolate of Cryptococcus gattii. In conclusion, the proposed identification algorithm could be practically implemented in strategic programs of fungal infection surveillance.


Emerging Infectious Diseases | 2012

Francisella tularensis subspecies holarctica, Tasmania, Australia, 2011.

Justin Jackson; Alistair McGregor; Louise Cooley; Jimmy Ng; Mitchell Brown; Chong Wei Ong; Catharine Darcy; Vitali Sintchenko

We report a case of ulceroglandular tularemia that developed in a woman after she was bitten by a ringtail possum (Pseudocheirus peregrinus) in a forest in Tasmania, Australia. Francisella tularensis subspecies holarctica was identified. This case indicates the emergence of F. tularensis type B in the Southern Hemisphere.


Communicable diseases intelligence quarterly report | 2004

Laboratory surveillance of invasive pneumococcal disease in Australia, 2003 - predicting the future impact of the universal childhood conjugate vaccine program

Krause; Geoff Hogg; Gwendolyn L. Gilbert; Denise Murphy; John Turnidge; Anthony D. Keil; A Watson; K Bayley; Mitchell Brown; Jm Bell; P Roche; Helen Smith; J Stylianopoulos; Peter Collignon


Clinical Microbiology and Infection | 2008

Use of a multiplex PCR-based reverse line blot (mPCR/RLB) hybridisation assay for the rapid identification of bacterial pathogens

Yajuan Wang; Fanrong Kong; Gwendolyn L. Gilbert; Mitchell Brown; Wei Gao; Sangjie Yu; Yajun Yang


Journal of Antimicrobial Chemotherapy | 2007

Is Bordetella pertussis susceptibility to erythromycin changing? MIC trends among Australian isolates 1971-2006

Vitali Sintchenko; Mitchell Brown; Gwendolyn L. Gilbert


Pathology | 2012

Assignment of recA reference sequence types for enhanced identification of the Burkholderia cepacia complex

Qingxin Kong; Meng Xiaoft; Fanrong Kong; Marion Yuen; Mitchell Brown; Jimmy Ng; Vishal Ahuja; Leanne Hicks; Linhai Shen; Hong Xu; Vitali Sintchenko; Gwendolyn L. Gilbert; Greg James


arXiv: Atomic Physics | 2018

Oscillator Strengths for Ultraviolet Transitions in P II -The Multiplet at 1308 {\AA}

Mitchell Brown; R.B. Alkhayat; R.E. Irving; N. Heidarian; J. Bancroft Brown; S.R. Federman; Shaunee Cheng; L.J. Curtis

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He Wang

Peking Union Medical College Hospital

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Meng Xiao

Peking Union Medical College Hospital

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Ying-Chun Xu

Peking Union Medical College Hospital

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Lei-Li Mao

Peking Union Medical College Hospital

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Ying Zhao

Peking Union Medical College Hospital

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