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Rolland N, Girard V, Monnin V, Arend S, Perrin G, Ballan D, Beau R, Collin V, D’Arbaumont M, Weill A, Deniel F, Tréguer S, Pawtowski A, Jany JL, Mounier J. Identification of Food Spoilage Fungi Using MALDI-TOF MS: Spectral Database Development and Application to Species Complex. J Fungi (Basel) 2024; 10:456. [PMID: 39057341 PMCID: PMC11277938 DOI: 10.3390/jof10070456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Revised: 06/20/2024] [Accepted: 06/20/2024] [Indexed: 07/28/2024] Open
Abstract
Fungi, including filamentous fungi and yeasts, are major contributors to global food losses and waste due to their ability to colonize a very large diversity of food raw materials and processed foods throughout the food chain. In addition, numerous fungal species are mycotoxin producers and can also be responsible for opportunistic infections. In recent years, MALDI-TOF MS has emerged as a valuable, rapid and reliable asset for fungal identification in order to ensure food safety and quality. In this context, this study aimed at expanding the VITEK® MS database with food-relevant fungal species and evaluate its performance, with a specific emphasis on species differentiation within species complexes. To this end, a total of 380 yeast and mold strains belonging to 51 genera and 133 species were added into the spectral database including species from five species complexes corresponding to Colletotrichum acutatum, Colletotrichum gloeosporioides, Fusarium dimerum, Mucor circinelloides complexes and Aspergillus series nigri. Database performances were evaluated by cross-validation and external validation using 78 fungal isolates with 96.55% and 90.48% correct identification, respectively. This study also showed the capacity of MALDI-TOF MS to differentiate closely related species within species complexes and further demonstrated the potential of this technique for the routine identification of fungi in an industrial context.
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Affiliation(s)
- Nolwenn Rolland
- bioMérieux, R&D Microbiologie, Route de Port Michaud, F-38390 La Balme les Grottes, France; (N.R.); (V.G.); (V.M.); (S.A.); (G.P.); (R.B.); (V.C.); (M.D.)
- Univ Brest, INRAE, Laboratoire Universitaire de Biodiversité et Écologie Microbienne, F-29280 Plouzané, France; (D.B.); (A.W.); (F.D.); (S.T.); (A.P.); (J.-L.J.)
| | - Victoria Girard
- bioMérieux, R&D Microbiologie, Route de Port Michaud, F-38390 La Balme les Grottes, France; (N.R.); (V.G.); (V.M.); (S.A.); (G.P.); (R.B.); (V.C.); (M.D.)
| | - Valérie Monnin
- bioMérieux, R&D Microbiologie, Route de Port Michaud, F-38390 La Balme les Grottes, France; (N.R.); (V.G.); (V.M.); (S.A.); (G.P.); (R.B.); (V.C.); (M.D.)
| | - Sandrine Arend
- bioMérieux, R&D Microbiologie, Route de Port Michaud, F-38390 La Balme les Grottes, France; (N.R.); (V.G.); (V.M.); (S.A.); (G.P.); (R.B.); (V.C.); (M.D.)
| | - Guillaume Perrin
- bioMérieux, R&D Microbiologie, Route de Port Michaud, F-38390 La Balme les Grottes, France; (N.R.); (V.G.); (V.M.); (S.A.); (G.P.); (R.B.); (V.C.); (M.D.)
| | - Damien Ballan
- Univ Brest, INRAE, Laboratoire Universitaire de Biodiversité et Écologie Microbienne, F-29280 Plouzané, France; (D.B.); (A.W.); (F.D.); (S.T.); (A.P.); (J.-L.J.)
| | - Rachel Beau
- bioMérieux, R&D Microbiologie, Route de Port Michaud, F-38390 La Balme les Grottes, France; (N.R.); (V.G.); (V.M.); (S.A.); (G.P.); (R.B.); (V.C.); (M.D.)
| | - Valérie Collin
- bioMérieux, R&D Microbiologie, Route de Port Michaud, F-38390 La Balme les Grottes, France; (N.R.); (V.G.); (V.M.); (S.A.); (G.P.); (R.B.); (V.C.); (M.D.)
| | - Maëlle D’Arbaumont
- bioMérieux, R&D Microbiologie, Route de Port Michaud, F-38390 La Balme les Grottes, France; (N.R.); (V.G.); (V.M.); (S.A.); (G.P.); (R.B.); (V.C.); (M.D.)
| | - Amélie Weill
- Univ Brest, INRAE, Laboratoire Universitaire de Biodiversité et Écologie Microbienne, F-29280 Plouzané, France; (D.B.); (A.W.); (F.D.); (S.T.); (A.P.); (J.-L.J.)
- Univ Brest, UBO Culture Collection, F-29280 Plouzané, France
| | - Franck Deniel
- Univ Brest, INRAE, Laboratoire Universitaire de Biodiversité et Écologie Microbienne, F-29280 Plouzané, France; (D.B.); (A.W.); (F.D.); (S.T.); (A.P.); (J.-L.J.)
| | - Sylvie Tréguer
- Univ Brest, INRAE, Laboratoire Universitaire de Biodiversité et Écologie Microbienne, F-29280 Plouzané, France; (D.B.); (A.W.); (F.D.); (S.T.); (A.P.); (J.-L.J.)
| | - Audrey Pawtowski
- Univ Brest, INRAE, Laboratoire Universitaire de Biodiversité et Écologie Microbienne, F-29280 Plouzané, France; (D.B.); (A.W.); (F.D.); (S.T.); (A.P.); (J.-L.J.)
| | - Jean-Luc Jany
- Univ Brest, INRAE, Laboratoire Universitaire de Biodiversité et Écologie Microbienne, F-29280 Plouzané, France; (D.B.); (A.W.); (F.D.); (S.T.); (A.P.); (J.-L.J.)
| | - Jérôme Mounier
- Univ Brest, INRAE, Laboratoire Universitaire de Biodiversité et Écologie Microbienne, F-29280 Plouzané, France; (D.B.); (A.W.); (F.D.); (S.T.); (A.P.); (J.-L.J.)
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Neoh CF, Chen SCA, Lanternier F, Tio SY, Halliday CL, Kidd SE, Kong DCM, Meyer W, Hoenigl M, Slavin MA. Scedosporiosis and lomentosporiosis: modern perspectives on these difficult-to-treat rare mold infections. Clin Microbiol Rev 2024; 37:e0000423. [PMID: 38551323 PMCID: PMC11237582 DOI: 10.1128/cmr.00004-23] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2024] Open
Abstract
SUMMARYAlthough Scedosporium species and Lomentospora prolificans are uncommon causes of invasive fungal diseases (IFDs), these infections are associated with high mortality and are costly to treat with a limited armamentarium of antifungal drugs. In light of recent advances, including in the area of new antifungals, the present review provides a timely and updated overview of these IFDs, with a focus on the taxonomy, clinical epidemiology, pathogenesis and host immune response, disease manifestations, diagnosis, antifungal susceptibility, and treatment. An expansion of hosts at risk for these difficult-to-treat infections has emerged over the last two decades given the increased use of, and broader population treated with, immunomodulatory and targeted molecular agents as well as wider adoption of antifungal prophylaxis. Clinical presentations differ not only between genera but also across the different Scedosporium species. L. prolificans is intrinsically resistant to most currently available antifungal agents, and the prognosis of immunocompromised patients with lomentosporiosis is poor. Development of, and improved access to, diagnostic modalities for early detection of these rare mold infections is paramount for timely targeted antifungal therapy and surgery if indicated. New antifungal agents (e.g., olorofim, fosmanogepix) with novel mechanisms of action and less cross-resistance to existing classes, availability of formulations for oral administration, and fewer drug-drug interactions are now in late-stage clinical trials, and soon, could extend options to treat scedosporiosis/lomentosporiosis. Much work remains to increase our understanding of these infections, especially in the pediatric setting. Knowledge gaps for future research are highlighted in the review.
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Affiliation(s)
- Chin Fen Neoh
- National Centre for Infections in Cancer, Peter MacCallum Cancer Centre, Melbourne, Australia
- Department of Infectious Diseases, Peter MacCallum Cancer Centre, Melbourne, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Australia
| | - Sharon C-A Chen
- Centre for Infectious Diseases and Microbiology Laboratory Services, New South Wales Health Pathology, Westmead Hospital, Sydney, Australia
- The University of Sydney, Sydney, Australia
- Department of Infectious Diseases, Westmead Hospital, Sydney, Australia
| | - Fanny Lanternier
- Service de Maladies Infectieuses et Tropicales, Hôpital universitaire Necker-Enfants malades, Paris, France
- National Reference Center for Invasive Mycoses and Antifungals, Translational Mycology research group, Mycology Department, Institut Pasteur, Université Paris Cité, Paris, France
| | - Shio Yen Tio
- National Centre for Infections in Cancer, Peter MacCallum Cancer Centre, Melbourne, Australia
- Department of Infectious Diseases, Peter MacCallum Cancer Centre, Melbourne, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Australia
| | - Catriona L Halliday
- Centre for Infectious Diseases and Microbiology Laboratory Services, New South Wales Health Pathology, Westmead Hospital, Sydney, Australia
| | - Sarah E Kidd
- National Mycology Reference Centre, SA Pathology, Adelaide, Australia
- School of Biological Sciences, Faculty of Sciences, University of Adelaide, Adelaide, Australia
| | - David C M Kong
- National Centre for Infections in Cancer, Peter MacCallum Cancer Centre, Melbourne, Australia
- The National Centre for Antimicrobial Stewardship, The Peter Doherty Institute for Infections and Immunity, Melbourne, Australia
- Centre for Medicine Use and Safety, Monash Institute of Pharmaceutical Sciences, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, Australia
- School of Medicine, Deakin University, Waurn Ponds, Geelong, Australia
| | - Wieland Meyer
- The University of Sydney, Sydney, Australia
- Westerdijk Fungal Biodiversity Institute, Utrecht, the Netherlands
| | - Martin Hoenigl
- Division of Infectious Diseases, Department of Internal Medicine, Medical University of Graz, Graz, Austria
- Translational Medical Mycology Research Group, ECMM Excellence Center for Clinical Mycology, Medical University of Graz, Graz, Austria
| | - Monica A Slavin
- National Centre for Infections in Cancer, Peter MacCallum Cancer Centre, Melbourne, Australia
- Department of Infectious Diseases, Peter MacCallum Cancer Centre, Melbourne, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Australia
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Ao K, Li X, Zhang W, Chen Z, Liu Y, Shu L, Xiao Y, Wu S, Xie Y, Kang M. Evaluation of the Autof ms1000 mass spectrometry for rapid clinical identification of filamentous fungi. BMC Microbiol 2023; 23:228. [PMID: 37608359 PMCID: PMC10464221 DOI: 10.1186/s12866-023-02968-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 08/02/2023] [Indexed: 08/24/2023] Open
Abstract
BACKGROUND Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has revolutionized microbial identification. However, there is a lack of data on its performance in identifying filamentous fungi. The objective of our study was to evaluate the accuracy of the Autof ms1000 mass spectrometry for identifying filamentous fungi in the clinical microbiology laboratory. RESULTS Among 106 samples tested using the Autof ms1000 system, 101 (95.28%) were identified at the genus or species level, and 81 (76.41%) were accurately identified at the species level. Additionally, we developed a new rapid formic acid extraction method with simple pretreatment for filamentous fungi that saved time and provided accurate results. CONCLUSIONS The Autof ms1000 mass spectrometer proved to be a valuable tool for identifying filamentous fungi. However, upgrading the database is recommended for correctly identifying rare strains.
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Affiliation(s)
- Keping Ao
- Department of Laboratory Medicine, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, China
| | - Xiaohan Li
- Department of Laboratory Medicine, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, China
| | - Weili Zhang
- Department of Laboratory Medicine, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, China
| | - Zhixing Chen
- Department of Laboratory Medicine, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, China
| | - Ya Liu
- Department of Laboratory Medicine, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, China
| | - Ling Shu
- Department of Laboratory Medicine, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, China
| | - Yuling Xiao
- Department of Laboratory Medicine, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, China
| | - Siying Wu
- Department of Laboratory Medicine, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, China
| | - Yi Xie
- Department of Laboratory Medicine, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, China
| | - Mei Kang
- Department of Laboratory Medicine, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, China.
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4
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A Practical Workflow for the Identification of Aspergillus, Fusarium, Mucorales by MALDI-TOF MS: Database, Medium, and Incubation Optimization. J Clin Microbiol 2022; 60:e0103222. [PMID: 36326257 PMCID: PMC9769873 DOI: 10.1128/jcm.01032-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
There is an increasing body of literature on the utility of MALDI-TOF MS in the identification of filamentous fungi. However, the process still lacks standardization. In this study, we attempted to establish a practical workflow for the identification of three clinically important molds: Aspergillus, Fusarium, and Mucorales using MALDI-TOF MS. We evaluated the performance of Bruker Filamentous Fungi database v3.0 for the identification of these fungi, highlighting when there would be a benefit of using an additional database, the MSI-2 for further identification. We also examined two other variables, namely, medium effect and incubation time on the accuracy of fungal identification. The Bruker database achieved correct species level identification in 85.7% of Aspergillus and 90% of Mucorales, and correct species-complex level in 94.4% of Fusarium. Analysis of spectra using the MSI-2 database would also offer additional value for species identification of Aspergillus species, especially when suspecting species with known identification limits within the Bruker database. This issue would only be of importance in selected cases where species-level identification would impact therapeutic options. Id-Fungi plates (IDFP) had almost equivalent performance to Sabouraud dextrose agar (SDA) for species-level identification of isolates and enabled an easier harvest of the isolates with occasional faster identification. Our study showed accurate identification at 24 h for Fusarium and Mucorales species, but not for Aspergillus species, which generally required 48 h.
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5
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Sharov TN, Budchenko AA, Viktorov DV, Toporkov AV. The application of mass spectrometry method for the study and identification of medically important viruses (review of literature). Klin Lab Diagn 2022; 67:480-483. [PMID: 36095086 DOI: 10.51620/0869-2084-2022-67-8-480-483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
It is difficult to overestimate the urgency of the problem of well-timed diagnosis of viral infections. According to the WHO, dozens of outbreaks of viral diseases are recorded annually, both in developing and developed countries. Moreover, the seasonal flu virus alone is capable of infecting up to 20% of the population, even in European countries with a high level of medicine. And the annual number of deaths due to viral infections, according to official statistics, exceeds 600 thousand people around the world. That's why the provision of a reliable and fairly rapid diagnosis of viruses, along with subsequent therapy, makes a significant contribution to reducing the incidence of mortality. Despite the fact that PCR-based methods currently remain the most common method for identifying viruses in clinical practice, as recent experience shows, in addition to the already known disadvantages, in the event of large outbreaks, such test systems may simply not be in the required amount. In this regard, it is necessary to supplement and improve the existing tools for identification and research of clinically significant viruses. The MALDI-TOF mass spectrometry method combines a degree of accuracy and versatility, sufficient both for the identification of clinical strains isolated from patients, and for the study of the phenotypic properties of viruses in research laboratories and centers. This article presents and summarizes the main data on the existing or potential application of the method of time-of-flight mass spectrometry with matrix-associated laser desorption / ionization for the identification or study of viruses.
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Affiliation(s)
- T N Sharov
- Federal Government Health Institution «Volgograd Plague Control Research Institute» of the Federal Service for Surveillance in the Sphere of Consumers Rights Protection and Human Welfare
| | - A A Budchenko
- Federal Government Health Institution «Volgograd Plague Control Research Institute» of the Federal Service for Surveillance in the Sphere of Consumers Rights Protection and Human Welfare
| | - D V Viktorov
- Federal Government Health Institution «Volgograd Plague Control Research Institute» of the Federal Service for Surveillance in the Sphere of Consumers Rights Protection and Human Welfare
| | - A V Toporkov
- Federal Government Health Institution «Volgograd Plague Control Research Institute» of the Federal Service for Surveillance in the Sphere of Consumers Rights Protection and Human Welfare
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6
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Dark Mold Infections in Solid Organ Transplant Recipients. CURRENT FUNGAL INFECTION REPORTS 2022. [DOI: 10.1007/s12281-022-00436-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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7
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OUP accepted manuscript. Med Mycol 2022; 60:6561619. [DOI: 10.1093/mmy/myac027] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 03/18/2022] [Accepted: 03/29/2022] [Indexed: 11/12/2022] Open
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8
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Chen XF, Hou X, Xiao M, Zhang L, Cheng JW, Zhou ML, Huang JJ, Zhang JJ, Xu YC, Hsueh PR. Matrix-Assisted Laser Desorption/Ionization Time of Flight Mass Spectrometry (MALDI-TOF MS) Analysis for the Identification of Pathogenic Microorganisms: A Review. Microorganisms 2021; 9:microorganisms9071536. [PMID: 34361971 PMCID: PMC8304613 DOI: 10.3390/microorganisms9071536] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 07/03/2021] [Accepted: 07/10/2021] [Indexed: 12/13/2022] Open
Abstract
Matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) has been used in the field of clinical microbiology since 2010. Compared with the traditional technique of biochemical identification, MALDI-TOF MS has many advantages, including convenience, speed, accuracy, and low cost. The accuracy and speed of identification using MALDI-TOF MS have been increasing with the development of sample preparation, database enrichment, and algorithm optimization. MALDI-TOF MS has shown promising results in identifying cultured colonies and rapidly detecting samples. MALDI-TOF MS has critical research applications for the rapid detection of highly virulent and drug-resistant pathogens. Here we present a scientific review that evaluates the performance of MALDI-TOF MS in identifying clinical pathogenic microorganisms. MALDI-TOF MS is a promising tool in identifying clinical microorganisms, although some aspects still require improvement.
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Affiliation(s)
- Xin-Fei Chen
- Department of Laboratory Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China; (X.-F.C.); (X.H.); (M.X.); (L.Z.); (M.-L.Z.); (J.-J.H.); (J.-J.Z.)
- Graduate School, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
- Beijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing 100730, China
| | - Xin Hou
- Department of Laboratory Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China; (X.-F.C.); (X.H.); (M.X.); (L.Z.); (M.-L.Z.); (J.-J.H.); (J.-J.Z.)
- Beijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing 100730, China
| | - Meng Xiao
- Department of Laboratory Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China; (X.-F.C.); (X.H.); (M.X.); (L.Z.); (M.-L.Z.); (J.-J.H.); (J.-J.Z.)
- Beijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing 100730, China
| | - Li Zhang
- Department of Laboratory Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China; (X.-F.C.); (X.H.); (M.X.); (L.Z.); (M.-L.Z.); (J.-J.H.); (J.-J.Z.)
- Beijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing 100730, China
| | - Jing-Wei Cheng
- Center of Clinical Laboratory, Beijing Friendship Hospital, Capital Medical University, Beijing 100053, China;
| | - Meng-Lan Zhou
- Department of Laboratory Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China; (X.-F.C.); (X.H.); (M.X.); (L.Z.); (M.-L.Z.); (J.-J.H.); (J.-J.Z.)
- Beijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing 100730, China
| | - Jing-Jing Huang
- Department of Laboratory Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China; (X.-F.C.); (X.H.); (M.X.); (L.Z.); (M.-L.Z.); (J.-J.H.); (J.-J.Z.)
- Graduate School, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
- Beijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing 100730, China
| | - Jing-Jia Zhang
- Department of Laboratory Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China; (X.-F.C.); (X.H.); (M.X.); (L.Z.); (M.-L.Z.); (J.-J.H.); (J.-J.Z.)
- Beijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing 100730, China
| | - Ying-Chun Xu
- Department of Laboratory Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China; (X.-F.C.); (X.H.); (M.X.); (L.Z.); (M.-L.Z.); (J.-J.H.); (J.-J.Z.)
- Beijing Key Laboratory for Mechanisms Research and Precision Diagnosis of Invasive Fungal Diseases, Beijing 100730, China
- Correspondence: (Y.-C.X.); (P.-R.H.)
| | - Po-Ren Hsueh
- Departments of Laboratory Medicine and Internal Medicine, China Medical University Hospital, School of Medicine, China Medical University, Taichung 40447, Taiwan;
- Departments of Laboratory Medicine and Internal Medicine, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei 100, Taiwan
- Correspondence: (Y.-C.X.); (P.-R.H.)
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9
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Lau AF. Matrix-Assisted Laser Desorption Ionization Time-of-Flight for Fungal Identification. Clin Lab Med 2021; 41:267-283. [PMID: 34020763 DOI: 10.1016/j.cll.2021.03.006] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Many studies have shown successful performance of matrix-assisted laser desorption ionization time-of-flight mass spectrometry for rapid yeast and mold identification, yet few laboratories have chosen to apply this technology into their routine clinical mycology workflow. This review provides an overview of the current status of matrix-assisted laser desorption ionization time-of-flight mass spectrometry for fungal identification, including key findings in the literature, processing and database considerations, updates in technology, and exciting future prospects. Significant advances toward standardization have taken place recently; thus, accurate species-level identification of yeasts and molds should be highly attainable, achievable, and practical in most clinical laboratories.
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Affiliation(s)
- Anna F Lau
- Sterility Testing Service, Department of Laboratory Medicine, Clinical Center, National Institutes of Health, 10 Center Drive, Room 2C306, Bethesda, MD 20892, USA.
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10
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Chen SCA, Halliday CL, Hoenigl M, Cornely OA, Meyer W. Scedosporium and Lomentospora Infections: Contemporary Microbiological Tools for the Diagnosis of Invasive Disease. J Fungi (Basel) 2021; 7:23. [PMID: 33406673 PMCID: PMC7823285 DOI: 10.3390/jof7010023] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Revised: 12/25/2020] [Accepted: 12/28/2020] [Indexed: 12/19/2022] Open
Abstract
Scedosporium/Lomentospora fungi are increasingly recognized pathogens. As these fungi are resistant to many antifungal agents, early diagnosis is essential for initiating targeted drug therapy. Here, we review the microbiological tools for the detection and diagnosis of invasive scedosporiosis and lomentosporiosis. Of over 10 species, Lomentospora prolificans, Scedosporium apiospermum, S. boydii and S. aurantiacum cause the majority of infections. Definitive diagnosis relies on one or more of visualization, isolation or detection of the fungus from clinical specimens by microscopy techniques, culture and molecular methods such as panfungal PCR or genus-/species-specific multiplex PCR. For isolation from respiratory tract specimens, selective media have shown improved isolation rates. Species identification is achieved by macroscopic and microscopic examination of colonies, but species should be confirmed by ITS with or without β-tubulin gene sequencing or other molecular methods. Matrix-assisted laser desorption ionization-time of flight mass spectrometry databases are improving but may need supplementation by in-house spectra for species identification. Reference broth microdilution methods is preferred for antifungal susceptibility testing. Next-generation sequencing technologies have good potential for characterization of these pathogens. Diagnosis of Scedosporium/Lomentospora infections relies on multiple approaches encompassing both phenotypic- and molecular-based methods.
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Affiliation(s)
- Sharon C.-A. Chen
- Centre for Infectious Diseases and Microbiology Laboratory Services, Institute of Clinical Pathology and Medical Research, New South Wales Health Pathology, Westmead Hospital, Westmead, Sydney, NSW 2145, Australia;
- Marie Bashir Institute for Infectious Diseases & Biosecurity, The University of Sydney, Sydney, NSW 2006, Australia;
| | - Catriona L. Halliday
- Centre for Infectious Diseases and Microbiology Laboratory Services, Institute of Clinical Pathology and Medical Research, New South Wales Health Pathology, Westmead Hospital, Westmead, Sydney, NSW 2145, Australia;
- Marie Bashir Institute for Infectious Diseases & Biosecurity, The University of Sydney, Sydney, NSW 2006, Australia;
| | - Martin Hoenigl
- Division of Infectious Diseases and Global Health, University of California San Diego, San Diego, CA 92103, USA;
- Clinical and Translational Fungal-Working Group, University of California San Diego, San Diego, CA 92103, USA
- Section of Infectious Diseases and Tropical Medicine, Medical University of Graz, 8036 Graz, Austria
| | - Oliver A. Cornely
- Department of Internal Medicine, Excellence Centre for Medical Mycology (ECMM), Faculty of Medicine and University Hospital Cologne, University of Cologne, 50923 Cologne, Germany;
- Translational Research Cologne Excellence Cluster on Cellular Responses in Aging-associated Diseases (CECAD), 50923 Cologne, Germany
- Clinical Trials Centre Cologne (ZKS Koln), 50923 Cologne, Germany
| | - Wieland Meyer
- Marie Bashir Institute for Infectious Diseases & Biosecurity, The University of Sydney, Sydney, NSW 2006, Australia;
- Molecular Mycology Research Laboratory, Centre for Infectious Diseases and Microbiology, Clinical School, Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Westmead, Sydney, NSW 2006, Australia
- Westmead Hospital (Research and Education Network), Westmead, NSW 2145, Australia
- Westmead Institute for Medical Research, Westmead, NSW 2145, Australia
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Update on Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry Identification of Filamentous Fungi. J Clin Microbiol 2020; 58:JCM.01263-20. [PMID: 32938733 DOI: 10.1128/jcm.01263-20] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS)-based species identification has found its place in many clinical routine diagnostic laboratories over the past years, allowing significantly reduced turnaround times and high-precision results. With regard to MALDI-TOF MS for filamentous fungi, here, we discuss different approaches for sample processing and growth conditions before analysis. In particular, we review the performances of different commercially available databases as well as the potential of complementary (self-constructed) in-house databases.
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