ARTICLE

Volume 10,Issue 1

Fall 2025

Cite this article
19
Citations
82
Views
11 October 2023

Evaluation of the Performance of ASTA MicroIDSys, a Novel Matrix-Assisted Laser Desorption/Ionization-Time of Flight Mass Spectrometry System, in Identification of Bacterial Clinical Isolates

Changseung Liu1 Eunjung Lee2 Dokyun Kim1* Seok Hoon Jeong1
Show Less
1 Department of Laboratory Medicine and Research Institute of Bacterial Resistance, Yonsei University College of Medicine, Seoul, Korea
2 Department of Clinical Pathology, Sangji University College of Science, Wonju, Korea
© 2019 by the Author(s). Licensee Whioce Publishing, USA. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

Background: We evaluated the performance of ASTA MicroIDSys (ASTA, Korea) and Bruker Biotyper (Bruker Daltonics, Germany) systems in the identification of bacterial isolates from clinical microbiology laboratory specimens during the study period. In addition, species for which the identification accuracy using MALDI-TOF MS systems were previously reported to be poor were also identified by comparing the MS results with those obtained using molecular identification. Methods: A total of 889 non-duplicated clinical isolates were included in this study. The results of ASTA MicroIDSys were compared with those of Bruker Biotyper; 16S rRNA sequencing was performed for the species for which results obtained using the two systems did not match. The sequences of rpoBhisA, and/or recA for the clinical isolates of Acinetobacter species, Klebsiella species, and Burkholderia cepacia complex were analyzed and used as reference identifications. Results: The concordance rates for bacterial identification using ASTA MicroIDSys and Bruker Biotyper were 100% at the genus level and 98.3% at the species level for isolates belonging to the order Enterobacterales. Similarly, the concordance rates at the genus and species levels were 98.8% and 91.0% for glucose non-fermenting bacilli, 100% and 100% for gram-positive cocci, and 98.9% and 98.9% for other isolates, respectively. ASTA MicroIDSys was expected to correctly identify 97.9% of the 108,251 isolates identified in our clinical microbiology laboratory over the past 5 years. Conclusion: ASTA MicroIDSys showed excellent performance in bacterial identification for most of the clinically relevant species. Further extension of the database could improve the identification accuracy of ASTA MicroIDSys.

Keywords
Mycobacterium
Polymerase chain reaction
Tuberculosis
References

1. Harbarth S, Garbino J, Pugin J, et al. Inappropriate Initial Antimicrobial Therapy and Its Effect on Survival in a Clinical Trial of Immunomodulating Therapy for Severe Sepsis. Am J Med. 2003;115:529–535.
2. Kootallur BN, Thangavelu CP, Mani M. Bacterial Identification in the Diagnostic Laboratory: How Much is Enough? Indian J Med Microbiol. 2011;29:336–340.
3. Park Y, Lee Y, Kim M, et al. Recent Trends of Anaerobic Bacteria Isolated from Clinical Specimens and Clinical Characteristics of Anaerobic Bacteremia. Infect Chemother. 2009;41:216–223.
4. Brook I. The Role of Anaerobic Bacteria in Bacteremia. Anaerobe. 2010;16:183–189.
5. Couzinet S, Jay C, Barras C, et al. High-Density DNA Probe Arrays for Identification of Staphylococci to the Species Level. J Microbiol Methods. 2005;61:201–208.
6. Janda JM, Abbott SL. 16S rRNA Gene Sequencing for Bacterial Identification in the Diagnostic Laboratory: Pluses, Perils, and Pitfalls. J Clin Microbiol. 2007;45:2761–2764.
7. Interpretative Criteria for Identification of Bacteria and Fungi by DNA Target Sequencing; Approved Guideline. MM18-A. Clinical and Laboratory Standards Institute (CLSI), 2007, Wayne.
8. Sauer S, Kliem M. Mass Spectrometry Tools for the Classification and Identification of Bacteria. Nat Rev Microbiol. 2010;8:74–82.
9. Seng P, Drancourt M, Gouriet F, et al. Ongoing Revolution in Bacteriology: Routine Identification of Bacteria by Matrix-Assisted Laser Desorption Ionization Time-of-Flight Mass Spectrometry. Clin Infect Dis. 2009;49:543–551.
10. Carbonnelle E, Mesquita C, Bille E, et al. MALDI-TOF Mass Spectrometry Tools for Bacterial Identification in Clinical Microbiology Laboratory. Clin Biochem. 2011;44:104–109.
11. Drancourt M. Detection of Microorganisms in Blood Specimens Using Matrix-Assisted Laser Desorption Ionization Time-of-Flight Mass Spectrometry: A Review. Clin Microbiol Infect. 2010;16:1620–1625.
12. Pavlovic M, Konrad R, Iwobi AN, et al. A Dual Approach Employing MALDI-TOF MS and Real-Time PCR for Fast Species Identification Within the Enterobacter cloacae Complex. FEMS Microbiol Lett. 2012;328:46–53.
13. Sousa C, Botelho J, Grosso F, et al. Unsuitability of MALDI-TOF MS to Discriminate Acinetobacter baumannii Clones Under Routine Experimental Conditions. Front Microbiol. 2015;6:481.
14. Fehlberg LC, Andrade LH, Assis DM, et al. Performance of MALDI-ToF MS for Species Identification of Burkholderia cepacia Complex Clinical Isolates. Diagn Microbiol Infect Dis. 2013;77:126–128.
15. Angeletti S. Matrix Assisted Laser Desorption Time of Flight Mass Spectrometry (MALDI-TOF MS) in Clinical Microbiology. J Microbiol Methods. 2017;138:20–29.
16. Wieser A, Schneider L, Jung J, et al. MALDI-TOF MS in Microbiological Diagnostic Identification of Microorganisms and Beyond (Mini Review). Appl Microbiol Biotechnol. 2012;93:965–974.
17. Lee Y, Sung JY, Kim H, et al. Comparison of a New Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry Platform, ASTA MicroIDSys, with Bruker Biotyper for Species Identification. Ann Lab Med. 2017;37:531–535.
18. Lee H, Park JH, Oh J, et al. Evaluation of a New Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry System for the Identification of Yeast Isolation. J Clin Lab Anal. 2019;33:e22685.
19. Kim D, Ji S, Kim JR, et al. Performance Evaluation of a New Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry, ASTA MicroIDSys System, in Bacterial Identification Against Clinical Isolates of Anaerobic Bacteria. Anaerobe. 2020;61:102131.
20. Gundi VA, Dijkshoorn L, Burignat S, et al. Validation of Partial rpoB Gene Sequence Analysis for the Identification of Clinically Important and Emerging Acinetobacter Species. Microbiology. 2009;155:2333–2341.
21. Papaleo MC, Perrin E, Maida I, et al. Identification of Species of the Burkholderia cepacia Complex by Sequence Analysis of the hisA Gene. J Med Microbiol. 2010;59:1163–1170.
22. Payne GW, Vandamme P, Morgan SH, et al. Development of a recA Gene-Based Identification Approach for the Entire Burkholderia Genus. Appl Environ Microbiol. 2005;71:3917–3927.
23. Kim OS, Cho YJ, Lee K, et al. Introducing EzTaxon-e: A Prokaryotic 16S rRNA Gene Sequence Database with Phylotypes that Represent Uncultured Species. Int J Syst Evol Microbiol. 2012;62:716–721.
24. Ling TK, Liu ZK, Cheng AF. Evaluation of the VITEK 2 System for Rapid Direct Identification and Susceptibility Testing of Gram-Negative Bacilli from Positive Blood Cultures. J Clin Microbiol. 2003;41:4705–4707.
25. Mera RM, Miller LA, Amrine-Madsen H, et al. Acinetobacter baumannii 2002-2008: Increase of Carbapenem-Associated Multiclass Resistance in the United States. Microb Drug Resist. 2010;16:209–215.
26. Shim BS, Kim CS, Kim ME, et al. Antimicrobial Resistance in Community-Acquired Urinary Tract Infections: Results from the Korean Antimicrobial Resistance Monitoring System. J Infect Chemother. 2011;17:440–446.
27. Jeong S, Hong JS, Kim JO, et al. Identification of Acinetobacter Species Using Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry. Ann Lab Med. 2016;36:325–334.
28. Speert DP. Advances in Burkholderia cepacia Complex. Paediatr Respir Rev. 2002;3:230–235.
29. Marioni G, Rinaldi R, Ottaviano G, et al. Cervical Necrotizing Fasciitis: A Novel Clinical Presentation of Burkholderia cepacia Infection. J Infect. 2006;53:e219–e222.
30. Vandamme P, Holmes B, Coenye T, et al. Burkholderia cenocepacia sp. Nov. – A New Twist to an Old Story. Res Microbiol. 2003;154:91–96.
31. Ragupathi NKD, Veeraraghavan B. Accurate Identification and Epidemiological Characterization of Burkholderia cepacia Complex: An Update. Ann Clin Microbiol Antimicrob. 2019;18:1–10.
32. Lacroix C, Gicquel A, Sendid B, et al. Evaluation of Two Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry (MALDI-TOF MS) Systems for the Identification of Candida Species. Clin Microbiol Infect. 2014;20:153–158.
33. Girard V, Mailler S, Polsinelli S, et al. Routine Identification of Nocardia Species by MALDI-TOF Mass Spectrometry. Diagn Microbiol Infect Dis. 2017;87:7–10.

Conflict of interest
The authors declare no conflict of interest.
Share
Back to top