The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Comparison of Two Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry Methods with Conventional Phenotypic Identification for Routine Identification of Bacteria to the Species Level
Open accessAbstract
Bacterial identification relies primarily on culture-based methodologies requiring 24 h for isolation and an additional 24 to 48 h for species identification. Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) is an emerging technology newly applied to the problem of bacterial species identification. We evaluated two MALDI-TOF MS systems with 720 consecutively isolated bacterial colonies under routine clinical laboratory conditions. Isolates were analyzed in parallel on both devices, using the manufacturers' default recommendations. We compared MS with conventional biochemical test system identifications. Discordant results were resolved with “gold standard” 16S rRNA gene sequencing. The first MS system (Bruker) gave high-confidence identifications for 680 isolates, of which 674 (99.1%) were correct; the second MS system (Shimadzu) gave high-confidence identifications for 639 isolates, of which 635 (99.4%) were correct. Had MS been used for initial testing and biochemical identification used only in the absence of high-confidence MS identifications, the laboratory would have saved approximately US$5 per isolate in marginal costs and reduced average turnaround time by more than an 8-h shift, with no loss in accuracy. Our data suggest that implementation of MS as a first test strategy for one-step species identification would improve timeliness and reduce isolate identification costs in clinical bacteriology laboratories now.
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Cites
Seng, P., Drancourt, M., Gouriet, F., La Scola, B., Fournier, P., Rolain, J. M., & Raoult, D. (2009) · Clinical Infectious Diseases · doi:10.1086/600885 · Cited by 1,983 · cited 2×
“MALDITOF MS has been used extensively as a research tool for protein analysis and was applied recently to clinical microbiology (15, 21).”
BackgroundMethodCharacterization of intact microorganisms by MALDI mass spectrometry
Fenselau, C., & Demirev, P. A. (2001) · Mass Spectrometry Reviews · doi:10.1002/mas.10004 · Cited by 834
Marklein, G., Josten, M., Klanke, U., Müller, E., Horré, R., Maier, T., Wenzel, T., Kostrzewa, M., Bierbaum, G., Hoerauf, A., et al. (2009) · Journal of Clinical Microbiology · doi:10.1128/jcm.00389-09 · Cited by 457
Mellmann, A., Cloud, J., Maier, T., Keckevoet, U., Ramminger, I., Iwen, P., Dunn, J., Hall, G., Wilson, D., LaSala, P., et al. (2008) · Journal of Clinical Microbiology · doi:10.1128/jcm.00157-08 · Cited by 435
Molecular diagnosis of bacterial endocarditis by broad-range PCR amplification and direct sequencing
Goldenberger, D., Künzli, A., Vogt, P., Zbinden, R., & Altwegg, M. (1997) · Journal of Clinical Microbiology · doi:10.1128/jcm.35.11.2733-2739.1997 · Cited by 390
rpoB Gene Sequence-Based Identification of Staphylococcu s Species
Drancourt, M., & Raoult, D. (2002) · Journal of Clinical Microbiology · doi:10.1128/jcm.40.4.1333-1338.2002 · Cited by 309
Poyart, C., Quesne, G., Boumaila, C., & Trieu-Cuot, P. (2001) · Journal of Clinical Microbiology · doi:10.1128/jcm.39.12.4296-4301.2001 · Cited by 296
Schneider, B., & Gibb, K. S. (1997) · Microbiology · doi:10.1099/00221287-143-10-3381 · Cited by 265
Fredricks, D. N., & Relman, D. A. (1998) · Journal of Clinical Microbiology · doi:10.1128/jcm.36.10.2810-2816.1998 · Cited by 203
Diagnosis of Meningococcal Meningitis by Broad-Range Bacterial PCR with Cerebrospinal Fluid
Kotilainen, P., Jalava, J., Meurman, O., Lehtonen, O. ‐., Rintala, E. M., Seppälä, O.-P., Eerola, E., & Nikkari, S. (1998) · Journal of Clinical Microbiology · doi:10.1128/jcm.36.8.2205-2209.1998 · Cited by 142
Cited by
Phytochemicals: extraction, isolation, and identification of bioactive compounds from plant extracts
Altemimi, A., Lakhssassi, N., Baharlouei, A., Watson, D., & Lightfoot, D. (2017) · Plants · doi:10.3390/plants6040042 · Cited by 1,965
“In previous work, bioactive molecules from pith were isolated and purified by bioactivity-guided solvent extraction, column chromatography, and HPLC [36].”
MethodRapid identification of pathogenic bacteria using Raman spectroscopy and deep learning
Ho, C.-S., Jean, N., Hogan, C. A., Blackmon, L., Jeffrey, S. S., Holodniy, M., Banaei, N., Saleh, A. A. E., Ermon, S., & Dionne, J. (2019) · Nature Communications · doi:10.1038/s41467-019-12898-9 · Cited by 871
Seng, P., Abat, C., Rolain, J. M., Colson, P., Lagier, J.-C., Gouriet, F., Fournier, P. E., Drancourt, M., La Scola, B., & Raoult, D. (2013) · Journal of Clinical Microbiology · doi:10.1128/jcm.00492-13 · Cited by 438
Lévesque, S., Dufresne, P. J., Soualhine, H., Domingo, M.-C., Bekal, S., Lefebvre, B., & Tremblay, C. (2015) · PLOS ONE · doi:10.1371/journal.pone.0144878 · Cited by 172
Biomedical Mass Spectrometry in Today's and Tomorrow's Clinical Microbiology Laboratories
van Belkum, A., Welker, M., Erhard, M., & Chatellier, S. (2012) · Journal of Clinical Microbiology · doi:10.1128/jcm.00420-12 · Cited by 100
Metadata
- Authors
- Cherkaoui, A., Hibbs, J., Emonet, S., Tangomo, M., Girard, M., Francois, P., & Schrenzel, J.
- Venue
- Journal of Clinical Microbiology
- Publisher
- American Society for Microbiology
- Published
- 2010-04
- Volume
- 48
- Issue
- 4
- Pages
- 1169-1175
- ISSN
- 0095-1137 (ISSN-L)
- 1098-660X
- OpenAlex
- W2050018214
- Cited by
- 527
- References
- 20
- FWCI
- 30.41
- Type
- journal article
- Language
- en
- Open access
- green
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- Cherkaoui, A., Hibbs, J., Emonet, S., Tangomo, M., Girard, M., Francois, P., & Schrenzel, J. (2010). Comparison of Two Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry Methods with Conventional Phenotypic Identification for Routine Identification of Bacteria to the Species Level. Journal of Clinical Microbiology. https://doi.org/10.1128/jcm.01881-09
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