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Arora, Amit

https://orcid.org/0009-0001-8841-0316

Mayo Clinic

University of Arizona

Citations 2

Genetic QT score as a predictor of sudden cardiac death in participants with sleep-disordered breathing in the UK Biobank
Arora, Amit , Zaręba, Wojciech , Klimentidis, Yann C. , Patel, Imran, Quan, Stuart F. , Wendel, Christopher S. , Shamoun, Fadi , Guerra, Stefano , Parthasarathy, Sairam , Patel, Salma , Zareba, Wojciech , Woosley, Raymond L.

Journal of Clinical Sleep Medicine | November 26, 2024 | Volume: 21 | Issue: 3 | Pages: 549-557

10.5664/jcsm.11474 Get It

Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry: a Fundamental Shift in the Routine Practice of Clinical Microbiology
Clark, Andrew E. , Kaleta, Erin, Arora, Amit , Wolk, Donna M. , Clark, Andrew E.

Clinical Microbiology Reviews | July 3, 2013 | Volume: 26 | Issue: 3 | Pages: 547-603

10.1128/cmr.00072-12 Get It

SUMMARY Within the past decade, clinical microbiology laboratories experienced revolutionary changes in the way in which microorganisms are identified, moving away from slow, traditional microbial identification algorithms toward rapid molecular methods and mass spectrometry (MS). Historically, MS was clinically utilized as a high-complexity method adapted for protein-centered analysis of samples in chemistry and hematology laboratories. Today, matrix-assisted laser desorption ionization–time of flight (MALDI-TOF) MS is adapted for use in microbiology laboratories, where it serves as a paradigm-shifting, rapid, and robust method for accurate microbial identification. Multiple instrument platforms, marketed by well-established manufacturers, are beginning to displace automated phenotypic identification instruments and in some cases genetic sequence-based identification practices. This review summarizes the current position of MALDI-TOF MS in clinical research and in diagnostic clinical microbiology laboratories and serves as a primer to examine the “nuts and bolts” of MALDI-TOF MS, highlighting research associated with sample preparation, spectral analysis, and accuracy. Currently available MALDI-TOF MS hardware and software platforms that support the use of MALDI-TOF with direct and precultured specimens and integration of the technology into the laboratory workflow are also discussed. Finally, this review closes with a prospective view of the future of MALDI-TOF MS in the clinical microbiology laboratory to accelerate diagnosis and microbial identification to improve patient care.