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Cuénod A, Wüthrich D, Seth-Smith HMB, Ott C, Gehringer C, Foucault F, Mouchet R, Kassim A, Revathi G, Vogt DR, von Felten S, Bassetti S, Tschudin-Sutter S, Hettich T, Schlotterbeck G, Homberger C, Casanova C, Moran-Gilad J, Sagi O, Rodríguez-Sánchez B, Müller F, Aerni M, Gaia V, van Dessel H, Kampinga GA, Müller C, Daubenberger C, Pflüger V, Egli A. Whole-genome sequence-informed MALDI-TOF MS diagnostics reveal importance of Klebsiella oxytoca group in invasive infections: a retrospective clinical study. Genome Med 2021; 13:150. [PMID: 34517886 PMCID: PMC8438989 DOI: 10.1186/s13073-021-00960-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Accepted: 08/27/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Klebsiella spp. are opportunistic pathogens which can cause severe infections, are often multi-drug resistant and are a common cause of hospital-acquired infections. Multiple new Klebsiella species have recently been described, yet their clinical impact and antibiotic resistance profiles are largely unknown. We aimed to explore Klebsiella group- and species-specific clinical impact, antimicrobial resistance (AMR) and virulence. METHODS We analysed whole-genome sequence data of a diverse selection of Klebsiella spp. isolates and identified resistance and virulence factors. Using the genomes of 3594 Klebsiella isolates, we predicted the masses of 56 ribosomal subunit proteins and identified species-specific marker masses. We then re-analysed over 22,000 Matrix-Assisted Laser Desorption Ionization - Time Of Flight (MALDI-TOF) mass spectra routinely acquired at eight healthcare institutions in four countries looking for these species-specific markers. Analyses of clinical and microbiological endpoints from a subset of 957 patients with infections from Klebsiella species were performed using generalized linear mixed-effects models. RESULTS Our comparative genomic analysis shows group- and species-specific trends in accessory genome composition. With the identified species-specific marker masses, eight Klebsiella species can be distinguished using MALDI-TOF MS. We identified K. pneumoniae (71.2%; n = 12,523), K. quasipneumoniae (3.3%; n = 575), K. variicola (9.8%; n = 1717), "K. quasivariicola" (0.3%; n = 52), K. oxytoca (8.2%; n = 1445), K. michiganensis (4.8%; n = 836), K. grimontii (2.4%; n = 425) and K. huaxensis (0.1%; n = 12). Isolates belonging to the K. oxytoca group, which includes the species K. oxytoca, K. michiganensis and K. grimontii, were less often resistant to 4th-generation cephalosporins than isolates of the K. pneumoniae group, which includes the species K. pneumoniae, K. quasipneumoniae, K. variicola and "K. quasivariicola" (odds ratio = 0.17, p < 0.001, 95% confidence interval [0.09,0.28]). Within the K. pneumoniae group, isolates identified as K. pneumoniae were more often resistant to 4th-generation cephalosporins than K. variicola isolates (odds ratio = 2.61, p = 0.003, 95% confidence interval [1.38,5.06]). K. oxytoca group isolates were found to be more likely associated with invasive infection to primary sterile sites than K. pneumoniae group isolates (odds ratio = 2.39, p = 0.0044, 95% confidence interval [1.05,5.53]). CONCLUSIONS Currently misdiagnosed Klebsiella spp. can be distinguished using a ribosomal marker-based approach for MALDI-TOF MS. Klebsiella groups and species differed in AMR profiles, and in their association with invasive infection, highlighting the importance for species identification to enable effective treatment options.
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Affiliation(s)
- Aline Cuénod
- Applied Microbiology Research, Department of Biomedicine, University of Basel, Hebelstrasse 20, 4031, Basel, Switzerland.
- Division of Clinical Bacteriology and Mycology, University Hospital Basel, Petersgraben 4, 4031, Basel, Switzerland.
| | - Daniel Wüthrich
- Applied Microbiology Research, Department of Biomedicine, University of Basel, Hebelstrasse 20, 4031, Basel, Switzerland
- Division of Clinical Bacteriology and Mycology, University Hospital Basel, Petersgraben 4, 4031, Basel, Switzerland
- Swiss Institute for Bioinformatics, Basel, Switzerland
| | - Helena M B Seth-Smith
- Applied Microbiology Research, Department of Biomedicine, University of Basel, Hebelstrasse 20, 4031, Basel, Switzerland
- Division of Clinical Bacteriology and Mycology, University Hospital Basel, Petersgraben 4, 4031, Basel, Switzerland
- Swiss Institute for Bioinformatics, Basel, Switzerland
| | - Chantal Ott
- Applied Microbiology Research, Department of Biomedicine, University of Basel, Hebelstrasse 20, 4031, Basel, Switzerland
- Division of Clinical Bacteriology and Mycology, University Hospital Basel, Petersgraben 4, 4031, Basel, Switzerland
| | - Christian Gehringer
- Applied Microbiology Research, Department of Biomedicine, University of Basel, Hebelstrasse 20, 4031, Basel, Switzerland
- Division of Clinical Bacteriology and Mycology, University Hospital Basel, Petersgraben 4, 4031, Basel, Switzerland
- Division of Internal Medicine, University Hospital Basel, Basel, Switzerland
| | | | | | - Ali Kassim
- Aga Khan University Hospital, Nairobi, Kenya
| | | | - Deborah R Vogt
- Department of Clinical Research, University of Basel and University Hospital Basel, Basel, Switzerland
| | - Stefanie von Felten
- Department of Clinical Research, University of Basel and University Hospital Basel, Basel, Switzerland
- Department of Biostatistics, Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Zurich, Switzerland
| | - Stefano Bassetti
- Division of Internal Medicine, University Hospital Basel, Basel, Switzerland
| | - Sarah Tschudin-Sutter
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland
- Department of Clinical Research, University of Basel, Basel, Switzerland
| | - Timm Hettich
- Division of Instrumental Analytics, School of Applied Sciences (FHNW), Muttenz, Switzerland
| | - Götz Schlotterbeck
- Division of Instrumental Analytics, School of Applied Sciences (FHNW), Muttenz, Switzerland
| | - Christina Homberger
- Applied Microbiology Research, Department of Biomedicine, University of Basel, Hebelstrasse 20, 4031, Basel, Switzerland
- Division of Clinical Bacteriology and Mycology, University Hospital Basel, Petersgraben 4, 4031, Basel, Switzerland
| | - Carlo Casanova
- Institute for Infectious Diseases, University of Bern, Bern, Switzerland
| | - Jacob Moran-Gilad
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheva, Israel
- Soroka University Medical Center, Beer Sheva, Israel
| | - Orli Sagi
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheva, Israel
- Soroka University Medical Center, Beer Sheva, Israel
| | - Belén Rodríguez-Sánchez
- Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain. Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | | | | | - Valeria Gaia
- Servizio di microbiologia EOLAB, Ente Ospedaliero Cantonale, Bellinzona, Switzerland
| | - Helke van Dessel
- Department of Medical Microbiology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Greetje A Kampinga
- Department of Medical Microbiology & Infection prevention, University of Groningen, Groningen, the Netherlands
- University Medical Center Groningen (UMCG), Groningen, the Netherlands
| | | | - Claudia Daubenberger
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- Department of Sciences, University of Basel, Basel, Switzerland
| | | | - Adrian Egli
- Applied Microbiology Research, Department of Biomedicine, University of Basel, Hebelstrasse 20, 4031, Basel, Switzerland.
- Division of Clinical Bacteriology and Mycology, University Hospital Basel, Petersgraben 4, 4031, Basel, Switzerland.
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Vogel G, Cuénod A, Mouchet R, Strauss A, Daubenberger C, Pflüger V, Portevin D. Functional characterization and phenotypic monitoring of human hematopoietic stem cell expansion and differentiation of monocytes and macrophages by whole-cell mass spectrometry. Stem Cell Res 2017; 26:47-54. [PMID: 29227832 DOI: 10.1016/j.scr.2017.11.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2017] [Revised: 11/10/2017] [Accepted: 11/20/2017] [Indexed: 10/18/2022] Open
Abstract
The different facets of macrophages allow them to play distinct roles in tissue homeostasis, tissue repair and in response to infections. Individuals displaying dysregulated macrophage functions are proposed to be prone to inflammatory disorders or infections. However, this being a cause or a consequence of the pathology remains often unclear. In this context, we isolated and expanded CD34+ HSCs from healthy blood donors and derived them into CD14+ myeloid progenitors which were further enriched and differentiated into macrophages. Aiming for a comprehensive phenotypic profiling, we generated whole-cell mass spectrometry (WCMS) fingerprints of cell samples collected along the different stages of the differentiation process to build a predictive model using a linear discriminant analysis based on principal components. Through the capacity of the model to accurately predict sample's identity of a validation set, we demonstrate that WCMS profiles obtained from bona fide blood monocytes and respectively derived macrophages mirror profiles obtained from equivalent HSC derivatives. Finally, HSC-derived macrophage functionalities were assessed by quantifying cytokine and chemokine responses to a TLR agonist in a 34-plex luminex assay and by measuring their capacity to phagocytise mycobacteria. These functional read-outs could not discriminate blood monocytes-derived from HSC-derived macrophages. To conclude, we propose that this method opens new avenues to distinguish the impact of human genetics on the dysregulated biological properties of macrophages in pathological conditions.
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Affiliation(s)
| | - Aline Cuénod
- Department of Medical Parasitology and Infection Biology, Swiss TPH, Basel, Switzerland; University of Basel, 4002 Basel, Switzerland
| | | | | | - Claudia Daubenberger
- Department of Medical Parasitology and Infection Biology, Swiss TPH, Basel, Switzerland; University of Basel, 4002 Basel, Switzerland
| | | | - Damien Portevin
- Department of Medical Parasitology and Infection Biology, Swiss TPH, Basel, Switzerland; University of Basel, 4002 Basel, Switzerland.
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