Clostridium sphenoides Chronic Osteomyelitis Diagnosed Via Matrix-Assisted Laser Desorption Ionization Time of Flight Mass Spectrometry, Conflicting With 16S rRNA Sequencing but Confirmed by Whole Genome Sequencing

Autor: Erik Snesrud, Patrick McGann, Matthew J. Perkins, Christopher A. Duplessis
Rok vydání: 2017
Předmět:
Fastidious organism
Male
Pathology
medicine.medical_specialty
Tazobactam
Penicillanic Acid
Matrix assisted laser desorption ionization time of flight
Computational biology
Mass spectrometry
03 medical and health sciences
Fractures
Open

Young Adult
0302 clinical medicine
Clostridium
Daptomycin
RNA
Ribosomal
16S

medicine
Humans
030212 general & internal medicine
Clostridium sphenoides
Whole genome sequencing
Piperacillin
030222 orthopedics
biology
Whole Genome Sequencing
business.industry
Public Health
Environmental and Occupational Health

Osteomyelitis
General Medicine
biology.organism_classification
16S ribosomal RNA
Ulna Fractures
Anti-Bacterial Agents
Chronic osteomyelitis
Spectrometry
Mass
Matrix-Assisted Laser Desorption-Ionization

Chronic Disease
Clostridium Infections
business
Radius Fractures
Zdroj: Military medicine. 182(1)
ISSN: 1930-613X
Popis: We report a case of successful treatment of chronic osteomyelitis (emanating from contaminated soil exposure) caused by Clostridium sphenoides, an organism infrequently identified as a cause of human infection and more saliently osteomyelitis (only 1 reported case in the literature). Additional impetus for reporting this case resides in the insights gained regarding pathogen identification exploiting sophisticated molecular platforms coupled to traditional microbial culture-based methods. The fastidious nature of cultivating anaerobic organisms required initial attempts at 16S rRNA sequencing to identify a Clostridium species (Clostridium celerecrescens). However, on exploiting matrix-assisted laser desorption ionization time of flight (MALDI TOF) technology, C. sphenoides was identified, and confirmed on whole genome sequencing. The discrepancies noted in the varying platforms require vigilance to seek complementary testing for conflicting results. Although highly accurate, the MALDI TOF and 16S rRNA sequencing platforms are not immune to false identification particularly in differentiating closely related organisms. More germane, whole genome sequencing should be entertained when conflicting results are obtained from MALDI TOF and 16S rRNA sequencing. Precise species and/or strain level identification can be clinically relevant as antimicrobial sensitivity profiles may be discrepant between closely related species influencing clinical outcomes. Thus, it is incumbent on us to strive to acquire the correct species characterization when resources allow to dictate optimal treatment.
Databáze: OpenAIRE