Advances in Pharmacological and Pharmaceutical Sciences
Volume 2021 (2021), Article ID 9928238, 8 pages
https://doi.org/10.1155/2021/9928238

Review Article

MALDI-TOF Mass Spectroscopy Applications in Clinical Microbiology

Maryam Alizadeh,¹ Leila Yousefi,² Farzaneh Pakdel,² Reza Ghotaslou,³ Mohammad Ahangarzadeh Rezaee,³ Ehsaneh Khodadadi,⁴ Mahin Ahangar Oskouei,⁵ Mohammad Hossein Soroush Barhaghi,⁶ and Hossein Samadi Kafil⁴

¹Student Research Committee, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
²Research Center for Pharmaceutical Nanotechnology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
³Immunology Research Center, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
⁴Drug Applied Research Center, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
⁵Stem Cell Research Center, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
⁶Pharmaceutical Analysis Research Center, Tabriz University of Medical Sciences, Tabriz, Iran

Correspondence should be addressed to Hossein Samadi Kafil; kafilhs@tbzmed.ac.ir

Received 14 March 2021; Accepted 30 April 2021; Published 7 May 2021

Academic Editor: Mahmoud S. Ahmed

Copyright © 2021 Maryam Alizadeh et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

There is a range of proteomics methods to spot and analyze bacterial protein contents such as liquid chromatography-mass spectrometry (LC-MS), two-dimensional gel electrophoresis, and matrix-assisted laser desorption/ionization mass spectrometry (MALDI-TOF MS), which give comprehensive information about the microorganisms that may be helpful within the diagnosis and coverings of infections. Microorganism identification by mass spectrometry is predicted on identifying a characteristic spectrum of every species so matched with an outsized database within the instrument. MALDI-TOF MS is one of the diagnostic methods, which is a straightforward, quick, and precise technique, and is employed in microbial diagnostic laboratories these days and may replace other diagnostic methods. This method identifies various microorganisms such as bacteria, fungi, parasites, and viruses, which supply comprehensive information. One of the MALDI-TOF MS’s crucial applications is bacteriology, which helps identify bacterial species, identify toxins, and study bacterial antibiotic resistance. By knowing these cases, we will act more effectively against bacterial infections.

1. Introduction

Bacterial pathogens are among the factors that threaten global health and can grow in humans [1], animals [2], and plants [3] and cause disease in their hosts under certain conditions, including the acquisition of virulence factors [4, 5]. These microorganisms have different macromolecules in their structure, including genome [6], proteins [7, 8], polysaccharides [9], and phospholipids [10], which various techniques and methods can study.

To study bacterial macromolecules, there are various methods, including genomics and proteomics. The genomics methods give us broad information about the bacteria’s genome, and proteomics methods help us identify multiple bacterial proteins [11, 12]. The proteomics methods are liquid chromatography-mass spectrometry (LC-MS) [13–15], two-dimensional gel electrophoresis [16–19], and matrix-assisted laser desorption/ionization mass spectrometry (MALDI-TOF MS) [20–22], which are used for studying bacterial protein contents and give comprehensive information about the cell and can be helpful in the identification of the bacteria, and so treatment of the infections is performed well timed by creating effective drugs and vaccines [23].

MALDI-TOF MS is one of the most potent proteomics methods that can detect various microorganisms such as bacteria [24], viruses [25–27], fungi [28–30], and parasites [31–33] and also can provide us precise, quick, easy, and inexpensive comprehensive information about microorganisms [34]. This study aimed to comprehensively investigate the applications of MALDI-TOF in bacteriological studies and the advantages of this method over other methods of laboratory diagnosis of infections.

2. The General Applications of MALDI-TOF MS

There are various methods for identifying different cells; the study of cell proteins is one of those methods, which has been used in diagnostic laboratories for many years [35–37]. MALDI-TOF MS technique is a successful method of detecting microorganisms that have been widely used in microbiological laboratories in recent years [38–40].

MALDI-TOF MS is a device that generates ions from a sample and then separates the generated ions based on the mass-to-charge ratio in the gas phase [41]. Today, mass spectrometry is a susceptible method for the structural study of biomolecules [42]. At present, each mass spectrometer includes an ion source to generate ions from the sample, one or more mass analyzers to separate ions based on mass-to-charge ratio, a detector to record the number of ions removed from the analyzer, and a computer to process data and create spectrum and control the device through the feedback [43], which can use these data to get comprehensive information about the microorganisms (Figure 1).

Figure 1: MALDI-TOF MS that includes an ion source to generate ions from the sample, one or more mass analyzers to separate ions based on mass-to-charge ratio, a detector to record the number of ions removed from the analyzer, and a computer to process data and create spectrum and control the device through the feedback, which can use these data to get comprehensive information about the microorganisms.

An essential feature of MALDI-TOF MS is that in addition to detecting bacteria, it can be used to detect microbial toxins [44], study antibiotic resistance [45–47], detect viruses [48, 49], parasites [50, 51], fungi [52, 53], and study of human [54–56] and plant cells [57, 58], which makes us more familiar with the creatures in our environment.

Essential applications of MALDI-TOF MS in virology include identifying various mutations in viruses and identifying different microorganisms’ strains, which might help the rapid and accurate diagnosis of viruses [49]. For example, in the rapid detection of respiratory viruses including influenza A, influenza B, respiratory syncytial virus (RSV), parainfluenza viruses, adenovirus, and rhinovirus, the MALDI-TOF MS method is used, which has increased the speed and accuracy in the diagnosis of these viruses by detection of their protein structure such as nucleoprotein (NP), haemagglutinin (HA), neuraminidase (NA), matrix protein (M1), and a nonstructural protein (NS1) in the influenza A, which is one of the advantages of this method compared to other traditional diagnostic procedures, such as serology, cell culture, and real-time reverse transcription-polymerase chain reaction (rRT-PCR) [59], which by the rapid diagnosis of infection can help in the immediate initiation of treatment and surviving the patients.

Another application of MALDI-TOF MS is in mycology; it effectively identifies different fungal species, identifies subspecies, compares differences between other fungi, and identifies fungal resistance antifungal drugs [60]. For example, in the study by Antonietta Vella et al. [61], they used MALDI-TOF MS to evaluate the antifungal resistance of Candida glabrata against anidulafungin and fluconazole, and this technique shows the antifungal resistance of these fungi rapidly.

MALDI-TOF MS also is used in parasitology, where it is used to detect various parasites such as Leishmania [62], Cryptosporidium parvum [63], Giardia lamblia [64], and Entamoeba histolytica [65], which provides us with comprehensive information about them.

3. Identification of Bacteria

Until recently, only phenotypic and genotypic methods were used to detect bacteria in bacteriological laboratories [66], and by the advancement of science, other techniques were used [67], such as MALDI-TOF MS, which is based on the study of bacterial proteins, which is an easy, fast, and accurate method that can replace other diagnostic procedures [68]. This method makes mass spectral for each microorganism unique as a fingerprint, identifying different bacterial genus and subspecies [34].

Bacteria use protein for various structural and functional purposes. For example, they use protein to build many parts such as cell envelope [69], flagella [70], secretory systems [71], enzymes [72], and biofilm [73, 74], and MALDI-TOF MS helps detecting various bacteria by detecting these proteinaceous parts.

MALDI-TOF technique has been used in bacteriology to study different types of bacteria such as Gram-positive [75], Gram-negative [76], mycobacteria [77], and anaerobic [78], which give complete and comprehensive information about those microorganisms, useful in the fast diagnosis of bacterial infections. For example, in the study of Sun et al. [79], they used MALDI-TOF MS to identify species of Lactobacillus plantarum, a Gram-positive bacterium, and they identified 34 proteins as the biomarker proteins and used these proteins for identifying species of bacterium in the various cultures. In another study by Friedrichs et al. [80], MALDI-TOF MS was used to identify 99 species of clinical Streptococci, a Gram-positive bacterium; they identified 71 Streptococcus mitis, 23 Streptococcus anginosus, and five Streptococcus salivarius. Another study carried out on mycobacteria by Hettick et al. [81] used MALDI-TOF MS to identify various mycobacteria and acid-fast bacteria, such as Mycobacterium tuberculosis, Mycobacterium intracellulare, Mycobacterium avium, Mycobacterium bovis, Mycobacterium kansasii, and Mycobacterium fortuitum. Due to the development of tuberculosis by the M. tuberculosis, which is one of the most dangerous global infections and health problems, rapid and accurate diagnosis of this bacterium is very important, and the use of the MALDI-TOF MS technique can be helpful in this operation [82].

Another vital application of MALDI-TOF MS is identifying anaerobic bacteria that face many difficulties due to their hard growing on solid media, the ineffectiveness of routine biochemical tests for their identification, and the need for specific environmental conditions that develop the need for new and effective diagnostic procedures [83]. For example, the study of Eigner et al. [84] is on more than 1000 bacteria isolated from laboratories, since the detection of 95.2% of isolation was correct, and shows this method's effectiveness for detecting anaerobe bacteria.

4. Identification of Bacterial Toxin

Different microorganisms such as bacteria produce proteins called toxins to increase their virulence [85]. The toxin is a part of the bacterial structure called endotoxin [86] or secretes out of the cell called exotoxin [87]. Many bacteria form toxins that can be identified by different MALDI-TOF MS methods, which help in their detection [88]. For example, Staphylococcus aureus threatens people’s health by causing dangerous infections by producing a toxin called Panton–Valentine leukocidin (PVL); fast and accurate detection of this toxin is crucial to save the life of people [89]. In the study of Bittar et al. [90], they used MALDI-TOF MS for detecting PVL for identification of 81 S. aureus isolated from patients of a hospital, and they were able to identify the isolates effective, fast, and efficiently by using this method.

Another study by Ranasinghe and Akhurst [91] was performed to study crystal toxin of Bacillus thuringiensis by MALDI-TOF MS to detect these bacteria and shows that this method can identify the toxin rapidly and sensitively that indicates the effectiveness of this method in rapid identification of microbial toxins for quick control of the infection.

5. Study of Antibiotic Resistance

Antibiotic resistance is the ability of the microorganisms to resist medications that are used to destroy them. This resistance can be caused by excessive consumption of antibiotics and a mutation in microbes that have caused this phenomenon to become a global health threat [92].

To resist antibiotics, the bacteria attempt to perform various actions, including constructing specific structures called efflux pumps, which drive the antibiotic out of the bacteria [89] and make enzymes that can destroy antibiotics [93]. For fast, accurate, and effective detection of antibiotic-resistant bacteria, new methods must identify the factors that make the bacteria resist antibiotics. MALDI-TOF MS is one of these methods that can locate efflux pumps and enzymes made up of protein [94].

Rapid identification of some bacteria is essential and plays a vital role in preventing transmission to other people, and delays in identifying them can lead to countless deaths, which indicate the need for rapid diagnostic methods such as MALDI-TOF MS. Among these bacteria, we can mention methicillin-resistant Staphylococcus aureus (MRSA), one of the main threats to public health. For example, in a study by Edwards-Jones et al. [95], they used MALDI-TOF MS to detect MRSA. Its fast identification is vital for appropriate therapeutic actions and timely interposition for controlling the infection.

6. Advantages and Disadvantages of MALDI-TOF MS

MALDI-TOF approaches effectively discover viruses in a wide range of biological specimens, and the concordance rate between MALDI-TOF and other standard-based methods is high [96]. PCR-based identification methods have some restrictions such as a lot longer turn-around time than MS, reagent and labor expenses, and some practical issues [97]. On the other hand, MALDI-TOF modern technology can likewise be applied to recognize infections in coinfected tests. These approaches can synchronize the discovery of several pathogens in a solitary essay. They can then inhibit misdiagnosis and delays in treatment without rising costs or adding a new action to the procedure [98].

RT-PCR procedures might have repressive fragments and contamination problems; hence, different sample preparation, amplification, and analysis are required [99]. Additionally, nucleic acid-based methods are costly and lengthy and appear in many cases much less convenient than MS for regular laboratory recognition [100, 101]. For MALDI-TOF, there needs to be substantial development in closing the upfront of PCR processing to consist of DNA extraction and the PCR procedure itself. MALDI-TOF MS approaches likewise enable large-scale research studies for fresh samples and archival samples from numerous biological specimens [102].

One of the significant weaknesses of MALDI-TOF is that the database restricts the identification [50]. The mass profile is used as a mass spectrum to compare well-characterized microorganisms in a database [103]. The range generally consists of specific peaks, so that with an extensive collection of spectra, the recognition may be carried out by applying bioinformatics [104].

7. Future Perspectives

The application of MS to molecular diagnostics has become a highly active part of the study with considerable ramifications for medication and public health. One of the most sophisticated advancements has been created by precise matching of molecular methods with MALDI-TOF. MS as a discovery system is most matched for the recognition of complicated genetic markers without invoking sequences [105]. It can be anticipated that the future growth of MS-based molecular diagnostics will be connected to unique techniques of extracting scientifically and epidemiologically relevant info such as disorder intensity, medicine resistance, vaccination retreat, and transmission from the genetic markers applying mainly developed computational and mathematical versions [106]. An essential feature of the MS innovation will be the possibility of its application to the quick discovery of microbes triggering hospital infection [107]. If combined with proper fast and delicate modern technologies for the medical diagnosis of avoidable diseases, MS can also influence quality control of sterile blood items and food security [108]. Assimilation of molecular and computational strategies with MS needs to generate analysis assays for wide, regular public health and medical practice applications.

8. Conclusion

Rapid diagnosis of infection makes the control of it more straightforward, vital for protecting the community’s health. There are various methods for rapid diagnosis of infections. One of them is MALDI-TOF MS, which is a fast, easy, and accurate method. Detecting bacterial proteinaceous agents helps us diagnose disorders quickly, which leads to more rapid treatment of the patient.

Data Availability

The data used to support the findings of this study are available from the corresponding author upon request.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Authors’ Contributions

Maryam Alizadeh, Leila Yousefi, and Farzaneh Pakdel equally contributed to this study.

Acknowledgments

This study was supported by the National Institute for Medical Research Development (NIMAD) (957280) and Drug Applied Research Center and was approved by the local ethic committee. The authors thank all staff of DARC for their support.

References

P. Gholizadeh, A. Pormohammad, H. Eslami, B. Shokouhi, V. Fakhrzadeh, and H. S. Kafil, “Oral pathogenesis of Aggregatibacter actinomycetemcomitans,” Microbial Pathogenesis, vol. 113, pp. 303–311, 2017.

M. J. McFall-Ngai, “Unseen forces: the influence of bacteria on animal development,” Developmental Biology, vol. 242, no. 1, pp. 1–14, 2002.

B. R. Glick, “Plant growth-promoting bacteria: mechanisms and applications,” Scientifica, vol. 2012, 2012.

H. S. Kafil and A. M. Mobarez, “Assessment of biofilm formation by enterococci isolates from urinary tract infections with different virulence profiles,” Journal of King Saud University - Science, vol. 27, no. 4, pp. 312–317, 2015.

H. S. Kafil, A. M. Mobarez, and M. F. Moghadam, “Adhesion and virulence factor properties of Enterococci isolated from clinical samples in Iran,” Indian Journal of Pathology and Microbiology, vol. 56, no. 3, p. 238, 2013.

J. P. McCutcheon and N. A. Moran, “Extreme genome reduction in symbiotic bacteria,” Nature Reviews Microbiology, vol. 10, no. 1, pp. 13–26, 2012.

J. D. Bendtsen, L. Kiemer, A. Fausbøll, and S. Brunak, “Non-classical protein secretion in bacteria,” BMC Microbiology, vol. 5, no. 1, pp. 1–13, 2005.

B. D. Dahroud, R. R. Mokarram, M. S. Khiabani et al., “Low intensity ultrasound increases the fermentation efficiency of Lactobacillus casei subsp.casei ATTC 39392,” International Journal of Biological Macromolecules, vol. 86, pp. 462–467, 2016.

E. Yudiati, S. Subagiyo, and M. S. R. Djarod, “Preliminary study of polysaccharide and oligosaccharide alginate (AOS) as prebiotic of probiotic bacteria,” Jurnal Kelautan Tropis, vol. 23, no. 2, pp. 234–238, 2020.

M. Bogdanov, K. Pyrshev, S. Yesylevskyy et al., “Phospholipid distribution in the cytoplasmic membrane of Gram-negative bacteria is highly asymmetric, dynamic, and cell shape-dependent,” Science Advances, vol. 6, no. 23, p. eaaz6333, 2020.

Y. Yang, J. Sun, Y. Sun et al., “Genomic, transcriptomic, and proteomic insights into the symbiosis of deep-sea tubeworm holobionts,” The ISME Journal, vol. 14, no. 1, pp. 135–150, 2020.

C. Helena Duarte Sagawa, P. A. Zaini, R. de Assis et al., “Deep learning neural network prediction method improves proteome profiling of vascular sap of grapevines during pierce's disease development,” Biology, vol. 9, no. 9, p. 261, 2020.

P. Lasch, A. Schneider, C. Blumenscheit, and J. Doellinger, “Identification of microorganisms by liquid chromatography-mass spectrometry (LC-MS1) and in silico peptide mass libraries,” Molecular & Cellular Proteomics, 2020.

V. Vishwanath, M. Sulyok, R. Labuda, W. Bicker, and R. Krska, “Simultaneous determination of 186 fungal and bacterial metabolites in indoor matrices by liquid chromatography/tandem mass spectrometry,” Analytical and Bioanalytical Chemistry, vol. 395, no. 5, pp. 1355–1372, 2009.

X. Liang, K. Zheng, M. G. Qian, and D. M. Lubman, “Determination of bacterial protein profiles by matrix-assisted laser desorption/ionization mass spectrometry with high-performance liquid chromatography,” Rapid Communications in Mass Spectrometry, vol. 10, no. 10, pp. 1219–1226, 1996.

M. P. Molloy, N. D. Phadke, J. R. Maddock, and P. C. Andrews, “Two-dimensional electrophoresis and peptide mass fingerprinting of bacterial outer membrane proteins,” Electrophoresis, vol. 22, no. 9, pp. 1686–1696, 2001.

P. Cash, “Characterisation of bacterial proteomes by two-dimensional electrophoresis,” Analytica Chimica Acta, vol. 372, no. 1-2, pp. 121–145, 1998.

A. Mitsutani, I. Yamasaki, H. Kitaguchi, J. Kato, S. Ueno, and Y. Ishida, “Analysis of algicidal proteins of a diatom-lytic marine bacterium Pseudoalteromonas sp. strain A25 by two-dimensional electrophoresis,” Phycologia, vol. 40, no. 3, pp. 286–291, 2001.

P. Folio, P. Chavant, I. Chafsey, A. Belkorchia, C. Chambon, and M. Hébraud, “Two-dimensional electrophoresis database ofListeria monocytogenes EGDe proteome and proteomic analysis of mid-log and stationary growth phase cells,” Proteomics, vol. 4, no. 10, pp. 3187–3201, 2004.

S.-Y. Hsieh, C.-L. Tseng, Y.-S. Lee et al., “Highly efficient classification and identification of human pathogenic bacteria by MALDI-TOF MS,” Molecular & Cellular Proteomics, vol. 7, no. 2, pp. 448–456, 2008.

S. Biswas and J.-M. Rolain, “Use of MALDI-TOF mass spectrometry for identification of bacteria that are difficult to culture,” Journal of Microbiological Methods, vol. 92, no. 1, pp. 14–24, 2013.

K. De Bruyne, B. Slabbinck, W. Waegeman, P. Vauterin, B. De Baets, and P. Vandamme, “Bacterial species identification from MALDI-TOF mass spectra through data analysis and machine learning,” Systematic and Applied Microbiology, vol. 34, no. 1, pp. 20–29, 2011.

B. Aslam, M. Basit, M. A. Nisar, M. Khurshid, and M. H. Rasool, “Proteomics: technologies and their applications,” Journal of Chromatographic Science, vol. 55, no. 2, pp. 182–196, 2017.

S. C. Wunschel, K. H. Jarman, C. E. Petersen et al., “Bacterial analysis by MALDI-TOF mass spectrometry: an inter-laboratory comparison,” Journal of the American Society for Mass Spectrometry, vol. 16, no. 4, pp. 456–462, 2005.

B. La Scola, A. Campocasso, R. N’Dong et al., “Tentative characterization of new environmental giant viruses by MALDI-TOF mass spectrometry,” Intervirology, vol. 53, no. 5, pp. 344–353, 2010.

Y. J. Kim, A. Freas, and C. Fenselau, “Analysis of viral glycoproteins by MALDI-TOF mass spectrometry,” Analytical Chemistry, vol. 73, no. 7, pp. 1544–1548, 2001.

C. Jurinke, B. Zöllner, H.-H. Feucht et al., “Detection of hepatitis B virus DNA in serum samples via nested PCR and MALDI-TOF mass spectrometry,” Genetic Analysis: Biomolecular Engineering, vol. 13, no. 3, pp. 67–71, 1996.

J. Chalupová, M. Raus, M. Sedlářová, and M. Šebela, “Identification of fungal microorganisms by MALDI-TOF mass spectrometry,” Biotechnology Advances, vol. 32, no. 1, pp. 230–241, 2014.

S. Ranque, A.-C. Normand, C. Cassagne et al., “MALDI-TOF mass spectrometry identification of filamentous fungi in the clinical laboratory,” Mycoses, vol. 57, no. 3, pp. 135–140, 2014.

P. T. Becker, A. de Bel, D. Martiny et al., “Identification of filamentous fungi isolates by MALDI-TOF mass spectrometry: clinical evaluation of an extended reference spectra library,” Medical Mycology, vol. 52, no. 8, pp. 826–834, 2014.

M. Laroche, L. Almeras, E. Pecchi et al., “MALDI-TOF MS as an innovative tool for detection of Plasmodium parasites in Anopheles mosquitoes,” Malaria Journal, vol. 16, no. 1, p. 5, 2017.

J. Murugaiyan and U. Roesler, “MALDI-TOF MS profiling-advances in species identification of pests, parasites, and vectors,” Frontiers in Cellular and Infection Microbiology, vol. 7, p. 184, 2017.

P. Millares, E. J. LaCourse, S. Perally et al., “Proteomic profiling and protein identification by MALDI-TOF mass spectrometry in unsequenced parasitic nematodes,” PLoS One, vol. 7, no. 3, Article ID e33590, 2012.

A. Croxatto, G. Prod'hom, and G. Greub, “Applications of MALDI-TOF mass spectrometry in clinical diagnostic microbiology,” FEMS Microbiology Reviews, vol. 36, no. 2, pp. 380–407, 2012.

F. R. Jazii, Z. Najafi, R. Malekzadeh et al., “Identification of squamous cell carcinoma associated proteins by proteomics and loss of beta tropomyosin expression in esophageal cancer,” World Journal of Gastroenterology, vol. 12, no. 44, p. 7104, 2006.

J. P. Connolly, D. Comerci, T. G. Alefantis et al., “Proteomic analysis of Brucella abortus cell envelope and identification of immunogenic candidate proteins for vaccine development,” Proteomics, vol. 6, no. 13, pp. 3767–3780, 2006.

Y.-J. Qi, Q.-Y. He, Y.-F. Ma et al., “Proteomic identification of malignant transformation-related proteins in esophageal squamous cell carcinoma,” Journal of Cellular Biochemistry, vol. 104, no. 5, pp. 1625–1635, 2008.

N. Singhal, M. Kumar, P. K. Kanaujia, and J. S. Virdi, “MALDI-TOF mass spectrometry: an emerging technology for microbial identification and diagnosis,” Frontiers in Microbiology, vol. 6, p. 791, 2015.

A. Wieser, L. Schneider, J. Jung, and S. Schubert, “MALDI-TOF MS in microbiological diagnostics-identification of microorganisms and beyond (mini review),” Applied Microbiology and Biotechnology, vol. 93, no. 3, pp. 965–974, 2012.

J. Gagnaire, O. Dauwalder, S. Boisset et al., “Detection of Staphylococcus aureus delta-toxin production by whole-cell MALDI-TOF mass spectrometry,” PLoS One, vol. 7, no. 7, Article ID e40660, 2012.

T. J. Griffin and L. M. Smith, “Single-nucleotide polymorphism analysis by MALDI-TOF mass spectrometry,” Trends in Biotechnology, vol. 18, no. 2, pp. 77–84, 2000.

I. A. Kaltashov and S. J. Eyles, “Studies of biomolecular conformations and conformational dynamics by mass spectrometry,” Mass Spectrometry Reviews, vol. 21, no. 1, pp. 37–71, 2002.

T.-Y. Hou, C. Chiang-Ni, and S.-H. Teng, “Current status of MALDI-TOF mass spectrometry in clinical microbiology,” Journal of Food and Drug Analysis, vol. 27, no. 2, pp. 404–414, 2019.

S. I. Alam, B. Kumar, and D. V. Kamboj, “Multiplex detection of protein toxins using MALDI-TOF-TOF tandem mass spectrometry: application in unambiguous toxin detection from bioaerosol,” Analytical Chemistry, vol. 84, no. 23, pp. 10500–10507, 2012.

J. Hrabák, E. Chudáčková, and R. Walková, “Matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) mass spectrometry for detection of antibiotic resistance mechanisms: from research to routine diagnosis,” Clinical Microbiology Reviews, vol. 26, no. 1, pp. 103–114, 2013.

E. A. Idelevich, K. Sparbier, M. Kostrzewa, and K. Becker, “Rapid detection of antibiotic resistance by MALDI-TOF mass spectrometry using a novel direct-on-target microdroplet growth assay,” Clinical Microbiology and Infection, vol. 24, no. 7, pp. 738–743, 2018.

M. Kostrzewa, K. Sparbier, T. Maier, and S. Schubert, “MALDI‐TOF MS: an upcoming tool for rapid detection of antibiotic resistance in microorganisms,” PROTEOMICS–Clinical Applications, vol. 7, no. 11-12, pp. 767–778, 2013.

A. Calderaro, M.-C. Arcangeletti, I. Rodighiero et al., “Matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry applied to virus identification,” Scientific Reports, vol. 4, no. 1, pp. 1–10, 2014.

F. Cobo, “Application of maldi-tof mass spectrometry in clinical virology: a review,” The Open Virology Journal, vol. 7, no. 1, pp. 84–90, 2013.

N. Singhal, M. Kumar, and J. S. Virdi, “MALDI-TOF MS in clinical parasitology: applications, constraints and prospects,” Parasitology, vol. 143, no. 12, pp. 1491–1500, 2016.

A. Huguenin, J. Depaquit, I. Villena, and H. Ferté, “MALDI-TOF mass spectrometry: a new tool for rapid identification of cercariae (Trematoda, Digenea),” Parasite, vol. 26, 2019.

C. Cassagne, A.-C. Normand, C. L'Ollivier, S. Ranque, and R. Piarroux, “Performance of MALDI-TOF MS platforms for fungal identification,” Mycoses, vol. 59, no. 11, pp. 678–690, 2016.

R. Patel, “A moldy application of MALDI: MALDI-ToF mass spectrometry for fungal identification,” Journal of Fungi, vol. 5, no. 1, p. 4, 2019.

J. P. J. J. Hegmans, M. P. L. Bard, A. Hemmes et al., “Proteomic analysis of exosomes secreted by human mesothelioma cells,” The American Journal of Pathology, vol. 164, no. 5, pp. 1807–1815, 2004.

H. Baharvand, M. Hajheidari, S. K. Ashtiani, and G. H. Salekdeh, “Proteomic signature of human embryonic stem cells,” Proteomics, vol. 6, no. 12, pp. 3544–3549, 2006.

R. Ouedraogo, A. Daumas, E. Ghigo, C. Capo, J.-L. Mege, and J. Textoris, “Whole-cell MALDI-TOF MS: a new tool to assess the multifaceted activation of macrophages,” Journal of Proteomics, vol. 75, no. 18, pp. 5523–5532, 2012.

Y. Westphal, H. A. Schols, A. G. J. Voragen, and H. Gruppen, “MALDI-TOF MS and CE-LIF fingerprinting of plant cell wall polysaccharide digests as a screening tool for Arabidopsis cell wall mutants,” Journal of Agricultural and Food Chemistry, vol. 58, no. 8, pp. 4644–4652, 2010.

G. Caruso, C. Cavaliere, C. Guarino, R. Gubbiotti, P. Foglia, and A. Laganà, “Identification of changes in Triticum durum L. leaf proteome in response to salt stress by two-dimensional electrophoresis and MALDI-TOF mass spectrometry,” Analytical and Bioanalytical Chemistry, vol. 391, no. 1, pp. 381–390, 2008.

J. A. Majchrzykiewicz-Koehorst, E. Heikens, H. Trip et al., “Rapid and generic identification of influenza A and other respiratory viruses with mass spectrometry,” Journal of Virological Methods, vol. 213, pp. 75–83, 2015.

O. Bader, “MALDI-TOF-MS-based species identification and typing approaches in medical mycology,” Proteomics, vol. 13, no. 5, pp. 788–799, 2013.

A. Vella, E. De Carolis, E. Mello et al., “Potential use of MALDI-ToF mass spectrometry for rapid detection of antifungal resistance in the human pathogen Candida glabrata,” Scientific Reports, vol. 7, no. 1, pp. 1–9, 2017.

G. Culha, I. Akyar, F. Y. Zeyrek et al., “Leishmaniasis in Turkey: determination of Leishmania species by matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS),” Iranian Journal of Parasitology, vol. 9, no. 2, p. 239, 2014.

M. L. Magnuson, J. H. Owens, and C. A. Kelty, “Characterization of Cryptosporidium parvum by matrix-assisted laser desorption ionization-time of flight mass spectrometry,” Applied and Environmental Microbiology, vol. 66, no. 11, pp. 4720–4724, 2000.

J. Kim, S.-S. Bae, M.-H. Sung, K.-H. Lee, and S.-J. Park, “Comparative proteomic analysis of trophozoites versus cysts of Giardia lamblia,” Parasitology Research, vol. 104, no. 2, pp. 475–479, 2009.

A. Calderaro, M. Piergianni, M. Buttrini et al., “MALDI-TOF mass spectrometry for the detection and differentiation of Entamoeba histolytica and Entamoeba dispar,” PLoS One, vol. 10, no. 4, Article ID e0122448, 2015.

A.-Y. Zhang, H.-N. Wang, G.-B. Tian et al., “Phenotypic and genotypic characterisation of antimicrobial resistance in faecal bacteria from 30 Giant pandas,” International Journal of Antimicrobial Agents, vol. 33, no. 5, pp. 456–460, 2009.

N. Alizadeh, M. Y. Memar, S. R. Moaddab, and H. S. Kafil, “Aptamer-assisted novel technologies for detecting bacterial pathogens,” Biomedicine & Pharmacotherapy, vol. 93, pp. 737–745, 2017.

A. A. Soro-Yao, P. Schumann, P. Thonart, K. M. Djè, and R. Pukall, “The use of MALDI-TOF mass spectrometry, ribotyping and phenotypic tests to identify lactic acid bacteria from fermented cereal foods in abidjan (côte d'Ivoire),” The Open Microbiology Journal, vol. 8, no. 1, pp. 78–86, 2014.

C. C. Domínguez-Medina, M. Pérez-Toledo, A. E. Schager et al., “Outer membrane protein size and LPS O-antigen define protective antibody targeting to the Salmonella surface,” Nature Communications, vol. 11, no. 1, pp. 1–11, 2020.

R. M. Macnab, “Type III flagellar protein export and flagellar assembly,” Biochimica et Biophysica Acta (BBA)-Molecular Cell Research, vol. 1694, no. 1-3, pp. 207–217, 2004.

S. S. Abby, J. Cury, J. Guglielmini, B. Néron, M. Touchon, and E. P. Rocha, “Identification of protein secretion systems in bacterial genomes,” Scientific Reports, vol. 6, no. 1, pp. 1–14, 2016.

R. Colodner, W. Rock, B. Chazan et al., “Risk factors for the development of extended-spectrum beta-lactamase-producing bacteria in nonhospitalized patients,” European Journal of Clinical Microbiology & Infectious Diseases, vol. 23, no. 3, pp. 163–167, 2004.

S. A. Rani, B. Pitts, H. Beyenal et al., “Spatial patterns of DNA replication, protein synthesis, and oxygen concentration within bacterial biofilms reveal diverse physiological states,” Journal of Bacteriology, vol. 189, no. 11, pp. 4223–4233, 2007.

H. S. Kafil, A. M. Mobarez, M. F. Moghadam, Z. s. Hashemi, and M. Yousefi, “Gentamicin induces efaA expression and biofilm formation in Enterococcus faecalis,” Microbial Pathogenesis, vol. 92, pp. 30–35, 2016.

K. Böhme, I. C. Fernández-No, J. Barros-Velázquez, J. M. Gallardo, B. Cañas, and P. Calo-Mata, “Rapid species identification of seafood spoilage and pathogenic Gram-positive bacteria by MALDI-TOF mass fingerprinting,” Electrophoresis, vol. 32, no. 21, pp. 2951–2965, 2011.

A. Fernández-Olmos, M. García-Castillo, M.-I. Morosini, A. Lamas, L. Máiz, and R. Cantón, “MALDI-TOF MS improves routine identification of non-fermenting Gram negative isolates from cystic fibrosis patients,” Journal of Cystic Fibrosis, vol. 11, no. 1, pp. 59–62, 2012.

E. Bille, B. Dauphin, J. Leto et al., “MALDI-TOF MS Andromas strategy for the routine identification of bacteria, mycobacteria, yeasts, Aspergillus spp. and positive blood cultures,” Clinical Microbiology and Infection, vol. 18, no. 11, pp. 1117–1125, 2012.

A. C. M. Veloo, G. W. Welling, and J. E. Degener, “The identification of anaerobic bacteria using MALDI-TOF MS,” Anaerobe, vol. 17, no. 4, pp. 211-212, 2011.

L. Sun, K. Teramoto, H. Sato, M. Torimura, H. Tao, and T. Shintani, “Characterization of ribosomal proteins as biomarkers for matrix-assisted laser desorption/ionization mass spectral identification ofLactobacillus plantarum,” Rapid Communications in Mass Spectrometry, vol. 20, no. 24, pp. 3789–3798, 2006.

C. Friedrichs, A. C. Rodloff, G. S. Chhatwal, W. Schellenberger, and K. Eschrich, “Rapid identification of viridans streptococci by mass spectrometric discrimination,” Journal of Clinical Microbiology, vol. 45, no. 8, pp. 2392–2397, 2007.

J. M. Hettick, M. L. Kashon, J. E. Slaven et al., “Discrimination of intact mycobacteria at the strain level: a combined MALDI-TOF MS and biostatistical analysis,” Proteomics, vol. 6, no. 24, pp. 6416–6425, 2006.

C. Deng, M. Lin, C. Hu et al., “Exploring serological classification tree model of active pulmonary tuberculosis by magnetic beads pretreatment and MALDI-TOF MS analysis,” Scandinavian Journal of Immunology, vol. 74, no. 4, pp. 397–405, 2011.

E. Nagy, S. Becker, M. Kostrzewa, N. Barta, and E. Urbán, “The value of MALDI-TOF MS for the identification of clinically relevant anaerobic bacteria in routine laboratories,” Journal of Medical Microbiology, vol. 61, no. 10, pp. 1393–1400, 2012.

U. Eigner, M. Holfelder, K. Oberdorfer, U. Betz-Wild, D. Bertsch, and A.-M. Fahr, “Performance of a matrix-assisted laser desorption ionization-time-of-flight mass spectrometry system for the identification of bacterial isolates in the clinical routine laboratory,” Clinical Laboratory Journal For Clinical Laboratories And Laboratories Related, vol. 55, no. 7, p. 289, 2009.

S. A. Kuehne, S. T. Cartman, J. T. Heap, M. L. Kelly, A. Cockayne, and N. P. Minton, “The role of toxin A and toxin B in Clostridium difficile infection,” Nature, vol. 467, no. 7316, pp. 711–713, 2010.

M. Rauchhaus, A. J. Coats, and S. D. Anker, “The endotoxin-lipoprotein hypothesis,” The Lancet, vol. 356, no. 9233, pp. 930–933, 2000.

B. S. Kim, “Spatiotemporal regulation of Vibrio exotoxins by HlyU and other transcriptional regulators,” Toxins, vol. 12, no. 9, p. 544, 2020.

V. Tsilia, B. Devreese, I. De Baenst et al., “Application of MALDI-TOF mass spectrometry for the detection of enterotoxins produced by pathogenic strains of the Bacillus cereus group,” Analytical and Bioanalytical Chemistry, vol. 404, no. 6-7, pp. 1691–1702, 2012.

M. Labandeira-Rey, F. Couzon, S. Boisset et al., “Staphylococcus aureus Panton-Valentine leukocidin causes necrotizing pneumonia,” Science, vol. 315, no. 5815, pp. 1130–1133, 2007.

F. Bittar, Z. Ouchenane, F. Smati, D. Raoult, and J.-M. Rolain, “MALDI-TOF-MS for rapid detection of staphylococcal Panton-Valentine leukocidin,” International Journal of Antimicrobial Agents, vol. 34, no. 5, pp. 467–470, 2009.

C. Ranasinghe and R. J. Akhurst, “Matrix assisted laser desorption ionisation time of flight mass spectrometry (MALDI-TOF MS) for detecting novel Bt toxins,” Journal of Invertebrate Pathology, vol. 79, no. 1, pp. 51–58, 2002.

J. Davies and D. Davies, “Origins and evolution of antibiotic resistance,” Microbiology and Molecular Biology Reviews, vol. 74, no. 3, pp. 417–433, 2010.

M. S. Wilke, A. L. Lovering, and N. C. Strynadka, “β-Lactam antibiotic resistance: a current structural perspective,” Current Opinion in Microbiology, vol. 8, no. 5, pp. 525–533, 2005.

W.-J. Lu, H.-J. Lin, P.-H. Hsu, and H.-T. V. Lin, “Determination of drug efflux pump efficiency in drug-resistant bacteria using MALDI-TOF MS,” Antibiotics, vol. 9, no. 10, p. 639, 2020.

V. Edwards-Jones, M. A. Claydon, D. J. Evason, J. Walker, A. J. Fox, and D. B. Gordon, “Rapid discrimination between methicillin-sensitive and methicillin-resistant Staphylococcus aureus by intact cell mass spectrometry,” Journal of Medical Microbiology, vol. 49, no. 3, pp. 295–300, 2000.

P. Pomastowski, M. Złoch, A. Rodzik, M. Ligor, M. Kostrzewa, and B. Buszewski, “Analysis of bacteria associated with honeys of different geographical and botanical origin using two different identification approaches: MALDI-TOF MS and 16S rDNA PCR technique,” PloS One, vol. 14, no. 5, Article ID e0217078, 2019.

T. C. Pinto, N. S. Costa, L. F. Castro et al., “Potential of MALDI-TOF MS as an alternative approach for capsular typing Streptococcus pneumoniae isolates,” Scientific Reports, vol. 7, no. 1, pp. 1–5, 2017.

E. Khodadadi, E. Zeinalzadeh, S. Taghizadeh et al., “Proteomic applications in antimicrobial resistance and clinical microbiology studies,” Infection and Drug Resistance, vol. Volume 13, pp. 1785–1806, 2020.

H. Kajiwara and R. Murakami, “Application of RT-PCR and MALDI-TOF MS for the detection of RNA luteovirus,” Analytical Biochemistry, vol. 539, pp. 45–47, 2017.

E. Khodadadi, L. Fahmideh, E. Khodadadi et al., “Current advances in DNA methylation analysis methods,” BioMed Research International, vol. 2021, Article ID 8827516, 9 pages, 2021.

A. C. Ruiz-Gaitán, J. Fernández-Pereira, E. Valentin et al., “Molecular identification of Candida auris by PCR amplification of species-specific GPI protein-encoding genes,” International Journal of Medical Microbiology, vol. 308, no. 7, pp. 812–818, 2018.

Y. Zhao, C.-C. Tsang, M. Xiao et al., “Yeast identification by sequencing, biochemical kits, MALDI-TOF MS and rep-PCR DNA fingerprinting,” Medical Mycology, vol. 56, no. 7, pp. 816–827, 2018.

D. Oros, M. Ceprnja, J. Zucko et al., “Identification of pathogens from native urine samples by MALDI-TOF/TOF tandem mass spectrometry,” Clinical Proteomics, vol. 17, no. 1, pp. 1–9, 2020.

C. Liébana-Martos, “Indications, interpretation of results, advantages, disadvantages, and limitations of MALDI-TOF,” The Use of Mass Spectrometry Technology (MALDI-TOF) in Clinical Microbiology, Elsevier, Amsterdam, Netherland, 2018.

G. Vrioni, C. Tsiamis, G. Oikonomidis, K. Theodoridou, V. Kapsimali, and A. Tsakris, “MALDI-TOF mass spectrometry technology for detecting biomarkers of antimicrobial resistance: current achievements and future perspectives,” Annals of Translational Medicine, vol. 6, no. 12, 2018.

W. Florio, A. Tavanti, E. Ghelardi, and A. Lupetti, “MALDI-TOF MS applications to the detection of antifungal resistance: state of the art and future perspectives,” Frontiers in Microbiology, vol. 9, p. 2577, 2018.

R. Patel, “MALDI-TOF MS for the diagnosis of infectious diseases,” Clinical Chemistry, vol. 61, no. 1, pp. 100–111, 2015.

A. Psaroulaki and D. Chochlakis, “Use of MALDI-TOF mass spectrometry in the battle against bacterial infectious diseases: recent achievements and future perspectives,” Expert Review of Proteomics, vol. 15, no. 7, pp. 537–539, 2018.