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Featured researches published by Keith E. Simmon.


Journal of Clinical Microbiology | 2007

Identification of an Emerging Pathogen, Mycobacterium massiliense, by rpoB Sequencing of Clinical Isolates Collected in the United States

Keith E. Simmon; June I. Pounder; John N. Greene; Frank Walsh; Clint M. Anderson; Samuel M. Cohen; Cathy A. Petti

ABSTRACT Mycobacterium massiliense is a rapidly growing mycobacterium that is indistinguishable from Mycobacterium chelonae/M. abscessus by partial 16S rRNA gene sequencing. We sequenced rpoB, sodA, and hsp65 genes from isolates previously identified as being M. chelonae/M. abscessus and identified M. massiliense from isolates from two patients with invasive disease representing the first reported cases in the United States.


Journal of Clinical Microbiology | 2006

Application of SmartGene IDNS Software to Partial 16S rRNA Gene Sequences for a Diverse Group of Bacteria in a Clinical Laboratory

Keith E. Simmon; Ann Croft; Cathy A. Petti

ABSTRACT Laboratories often receive clinical isolates for bacterial identification that have ambiguous biochemical profiles by conventional testing. With the emergence of 16S rRNA gene sequencing as an identification tool, we evaluated the usefulness of SmartGene IDNS, a 16S rRNA sequence database and software program for microbial identification. Identification by conventional methods of a diverse group of bacterial clinical isolates was compared with gene sequences interrogated by the SmartGene and MicroSeq databases. Of 300 isolates, SmartGene identified 295 (98%) to the genus level and 262 (87%) to the species level, with 5 (2%) being inconclusive. MicroSeq identified 271 (90%) to the genus level and 223 (74%) to the species level, with 29 (10%) being inconclusive. SmartGene and MicroSeq agreed on the genus for 233 (78%) isolates and the species for 212 (71%) isolates. Conventional methods identified 291 (97%) isolates to the genus level and 208 (69%) to the species level, with 9 (3%) being inconclusive. SmartGene, MicroSeq, and conventional identifications agreed for 193 (64%) of the results. Twenty-seven microorganisms were not represented in MicroSeq, compared to only 2 not represented in SmartGene. Overall, SmartGene IDNS provides comprehensive and accurate identification of a diverse group of bacteria and has the added benefit of being a user-friendly program that can be modified to meet the unique needs of clinical laboratories.


Journal of Clinical Microbiology | 2007

Discovering Potential Pathogens among Fungi Identified as Nonsporulating Molds

June I. Pounder; Keith E. Simmon; Claudia A. Barton; Sheri Hohmann; Mary E. Brandt; Cathy A. Petti

ABSTRACT Fungal infections are increasing, particularly among immunocompromised hosts, and a rapid diagnosis is essential to initiate antifungal therapy. Often fungi cannot be identified by conventional methods and are classified as nonsporulating molds (NSM).We sequenced internal transcribed spacer regions from 50 cultures of NSM and found 16 potential pathogens that can be associated with clinical disease. In selected clinical settings, identification of NSM could prove valuable and have an immediate impact on patient management.


Journal of Clinical Microbiology | 2016

Unbiased Detection of Respiratory Viruses by Use of RNA Sequencing-Based Metagenomics: a Systematic Comparison to a Commercial PCR Panel

Erin H. Graf; Keith E. Simmon; Keith D. Tardif; Weston Hymas; Steven Flygare; Karen Eilbeck; Mark Yandell; Robert Schlaberg

ABSTRACT Current infectious disease molecular tests are largely pathogen specific, requiring test selection based on the patients symptoms. For many syndromes caused by a large number of viral, bacterial, or fungal pathogens, such as respiratory tract infections, this necessitates large panels of tests and has limited yield. In contrast, next-generation sequencing-based metagenomics can be used for unbiased detection of any expected or unexpected pathogen. However, barriers for its diagnostic implementation include incomplete understanding of analytical performance and complexity of sequence data analysis. We compared detection of known respiratory virus-positive (n = 42) and unselected (n = 67) pediatric nasopharyngeal swabs using an RNA sequencing (RNA-seq)-based metagenomics approach and Taxonomer, an ultrarapid, interactive, web-based metagenomics data analysis tool, with an FDA-cleared respiratory virus panel (RVP; GenMark eSensor). Untargeted metagenomics detected 86% of known respiratory virus infections, and additional PCR testing confirmed RVP results for only 2 (33%) of the discordant samples. In unselected samples, untargeted metagenomics had excellent agreement with the RVP (93%). In addition, untargeted metagenomics detected an additional 12 viruses that were either not targeted by the RVP or missed due to highly divergent genome sequences. Normalized viral read counts for untargeted metagenomics correlated with viral burden determined by quantitative PCR and showed high intrarun and interrun reproducibility. Partial or full-length viral genome sequences were generated in 86% of RNA-seq-positive samples, allowing assessment of antiviral resistance, strain-level typing, and phylogenetic relatedness. Overall, untargeted metagenomics had high agreement with a sensitive RVP, detected viruses not targeted by the RVP, and yielded epidemiologically and clinically valuable sequence information.


Journal of Clinical Microbiology | 2008

Genotypic Diversity of Anaerobic Isolates from Bloodstream Infections

Keith E. Simmon; Stanley Mirrett; L. Barth Reller; Cathy A. Petti

ABSTRACT Accurate species determination for anaerobes from blood culture bottles has become increasingly important with the reemergence of anaerobic bacteremia and prevalence of multiple-drug-resistant microorganisms. Our knowledge of the taxonomical diversity of anaerobes that cause bloodstream infections is extremely limited, because identification historically has relied on conventional methods. Over a 5-year period, we profiled anaerobic bacteremia at a large tertiary care hospital with 16S rRNA gene sequencing to gain a better understanding of the taxonomical diversity of the bacteria. Of 316 isolates, 16S rRNA gene sequencing and phylogenetic analysis identified 316 (100%) to the genus or taxonomical group level and 289 (91%) to the species level. Conventional methods identified 279 (88%) to the genus level and 208 (66%) to the species level; 75 (24%) were misidentified at the species level, and 33 (10%) results were inconclusive. High intragenus variability was observed for Bacteroides and Clostridium species, and high intraspecies variability was observed for Bacteroides thetaiotaomicron and Fusobacterium nucleatum. Sequence-based identification has potential benefits in comparison to conventional methods, because it more accurately characterizes anaerobes within taxonomically related clusters and thereby may enable better correlation with specific clinical syndromes and antibiotic resistance patterns.


Emerging Infectious Diseases | 2012

A Systematic Approach for Discovering Novel, Clinically Relevant Bacteria

Robert Schlaberg; Keith E. Simmon; Mark A. Fisher

We identified 95 isolates from novel taxa that may have clinical relevance.


Journal of Clinical Microbiology | 2012

Dual-priming oligonucleotides for broad-range amplification of the bacterial 16S rRNA gene directly from human clinical specimens

Øyvind Kommedal; Keith E. Simmon; Dilek Karaca; Nina Langeland; Harald G. Wiker

ABSTRACT Broad-range amplification and sequencing of the bacterial 16S rRNA gene directly from clinical specimens are offered as a diagnostic service in many laboratories. One major pitfall is primer cross-reactivity with human DNA which will result in mixed chromatograms. Mixed chromatograms will complicate subsequent sequence analysis and impede identification. In SYBR green real-time PCR assays, it can also affect crossing threshold values and consequently the status of a specimen as positive or negative. We evaluated two conventional primer pairs in common use and a new primer pair based on the dual priming oligonucleotide (DPO) principle. Cross-reactivity was observed when both conventional primer pairs were used, resulting in interpretation difficulties. No cross-reactivity was observed using the DPOs even in specimens with a high ratio of human to bacterial DNA. In addition to reducing cross-reactivity, the DPO principle also offers a high degree of flexibility in the design of primers and should be considered for any PCR assay intended for detection and identification of pathogens directly from human clinical specimens.


Emerging Infectious Diseases | 2011

Mycobacterium chelonae-abscessus Complex Associated with Sinopulmonary Disease, Northeastern USA

Keith E. Simmon; Barbara A. Brown-Elliott; Perry G. Ridge; Jacob D. Durtschi; Linda Mann; E. Susan Slechta; Arnold G. Steigerwalt; Benjamin D. Moser; Anne M. Whitney; June M. Brown; Karl V. Voelkerding; Karin L. McGowan; Anne F. Reilly; Thomas J. Kirn; W. Ray Butler; Paul H. Edelstein; Richard J. Wallace; Cathy A. Petti

Members of the Mycobacterium chelonae-abscessus complex represent Mycobacterium species that cause invasive infections in immunocompetent and immunocompromised hosts. We report the detection of a new pathogen that had been misidentified as M. chelonae with an atypical antimicrobial drug susceptibility profile. The discovery prompted a multicenter investigation of 26 patients. Almost all patients were from the northeastern United States, and most had underlying sinus or pulmonary disease. Infected patients had clinical features similar to those with M. abscessus infections. Taxonomically, the new pathogen shared molecular identity with members of the M. chelonae-abscessus complex. Multilocus DNA target sequencing, DNA-DNA hybridization, and deep multilocus sequencing (43 full-length genes) support a new taxon for these microorganisms. Because most isolates originated in Pennsylvania, we propose the name M. franklinii sp. nov. This investigation underscores the need for accurate identification of Mycobacterium spp. to detect new pathogens implicated in human disease.


Journal of Clinical Microbiology | 2010

Mycobacterium neoaurum and Mycobacterium bacteremicum sp. nov. as causes of mycobacteremia

Barbara A. Brown-Elliott; Richard J. Wallace; Cathy A. Petti; Linda Mann; Maria McGlasson; Shingo Chihara; Geremy L. Smith; Patrick Painter; Daymon Hail; Rebecca W. Wilson; Keith E. Simmon

ABSTRACT Reference isolates of Mycobacterium neoaurum, Mycobacterium aurum, and the nonvalidated species “Mycobacterium lacticola” were the focus of two recent molecular taxonomic studies. On the basis of this grouping, we identified 46 clinical pigmented, rapidly growing mycobacterial isolates. By 16S rRNA gene sequencing, only two major taxa were identified: M. neoaurum and a previously uncharacterized “M. neoaurum-like” group. The M. neoaurum-like group exhibited only 99.7% identity to M. neoaurum by 16S rRNA gene sequencing and 96.5% identity to M. neoaurum by rpoB sequencing and was named M. bacteremicum. No clinical isolates of M. aurum or M. lacticola were identified. Of isolates with known sources, 4/8 (50%) of M. bacteremicum isolates and 22/34 (65%) of M. neoaurum isolates were recovered from blood, and 35% of these were known to be from patients with catheter-related sepsis. MIC and clinical data on these 46 isolates of M. neoaurum and M. bacteremicum along with a review of 16 previously reported cases of infection with the M. neoaurum-M. lacticola group demonstrated that the isolates were highly susceptible to all drugs tested except clarithromycin, and most clinical cases were successfully treated. The clarithromycin resistance suggested the presence of an inducible erm gene reported in other species of rapidly growing mycobacteria. Sequencing studies are currently required to identify these two species. Strain ATCC 25791 (originally submitted as an example of Mycobacterium aurum) is proposed to be the type strain of M. bacteremicum.


Journal of Clinical Microbiology | 2008

Phylogenetic Analysis of Viridans Group Streptococci Causing Endocarditis

Keith E. Simmon; Lori Hall; Christopher W. Woods; Francesc Marco; José M. Miró; Christopher H. Cabell; Bruno Hoen; Mercedes Marín; Riccardo Utili; Efthymia Giannitsioti; Thanh Doco-Lecompte; Suzanne F. Bradley; Stanley Mirrett; Arjana Tambic; Suzanne Ryan; David L. Gordon; Phillip Jones; Tony M. Korman; Dannah Wray; L. Barth Reller; Marie Francoise Tripodi; Patrick Plésiat; Arthur J. Morris; Selwyn Lang; David R. Murdoch; Cathy A. Petti

ABSTRACT Identification of viridans group streptococci (VGS) to the species level is difficult because VGS exchange genetic material. We performed multilocus DNA target sequencing to assess phylogenetic concordance of VGS for a well-defined clinical syndrome. The hierarchy of sequence data was often discordant, underscoring the importance of establishing biological relevance for finer phylogenetic distinctions.

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Cathy A. Petti

Loyola University Medical Center

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Barbara A. Brown-Elliott

University of Texas Health Science Center at Tyler

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Richard J. Wallace

University of Texas Health Science Center at Tyler

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