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Fujita Y, Moriya K, Kitazawa T, Mabuchi H, Matsumoto H, Fujikura Y, Imai K. Bacterial Meningitis Caused by Haemophilus influenzae Type F Diagnosed Using Next-Generation Sequencing. Indian J Pediatr 2024; 91:520. [PMID: 38153657 DOI: 10.1007/s12098-023-05006-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 12/20/2023] [Indexed: 12/29/2023]
Affiliation(s)
- Yuya Fujita
- Department of Pediatrics, National Defense Medical College, Saitama, Japan
| | - Kunihiko Moriya
- Department of Pediatrics, National Defense Medical College, Saitama, Japan.
| | - Taichi Kitazawa
- Department of Pediatrics, National Defense Medical College, Saitama, Japan
| | - Haruna Mabuchi
- Department of Pediatrics, National Defense Medical College, Saitama, Japan
| | - Hiroshi Matsumoto
- Department of Pediatrics, National Defense Medical College, Saitama, Japan
| | - Yuji Fujikura
- Division of Infectious Diseases and Respiratory Medicine, Department of Internal Medicine, National Defense Medical College, Saitama, Japan
| | - Kohsuke Imai
- Department of Pediatrics, National Defense Medical College, Saitama, Japan
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Pilliol V, Morsli M, Terlier L, Hassani Y, Malat I, Guindo CO, Davoust B, Lamglait B, Drancourt M, Aboudharam G, Grine G, Terrer E. Candidatus Methanosphaera massiliense sp. nov., a methanogenic archaeal species found in a human fecal sample and prevalent in pigs and red kangaroos. Microbiol Spectr 2024; 12:e0514122. [PMID: 38189277 PMCID: PMC10845953 DOI: 10.1128/spectrum.05141-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 11/24/2023] [Indexed: 01/09/2024] Open
Abstract
Methanosphaera stadtmanae was the sole Methanosphaera representative to be cultured and detected by molecular methods in the human gut microbiota, further associated with digestive and respiratory diseases, leaving unknown the actual diversity of human-associated Methanosphaera species. Here, a novel Methanosphaera species, Candidatus Methanosphaera massiliense (Ca. M. massiliense) sp. nov. was isolated by culture using a hydrogen- and carbon dioxide-free medium from one human feces sample. Ca. M. massiliense is a non-motile, 850 nm Gram-positive coccus autofluorescent at 420 nm. Whole-genome sequencing yielded a 29.7% GC content, gapless 1,785,773 bp genome sequence with an 84.5% coding ratio, encoding for alcohol and aldehyde dehydrogenases promoting the growth of Ca. M. massiliense without hydrogen. Screening additional mammal and human feces using a specific genome sequence-derived DNA-polymerase RT-PCR system yielded a prevalence of 22% in pigs, 12% in red kangaroos, and no detection in 149 other human samples. This study, extending the diversity of Methanosphaera in human microbiota, questions the zoonotic sources of Ca. M. massiliense and possible transfer between hosts.IMPORTANCEMethanogens are constant inhabitants in the human gut microbiota in which Methanosphaera stadtmanae was the only cultivated Methanosphaera representative. We grew Candidatus Methanosphaera massiliense sp. nov. from one human feces sample in a novel culture medium under a nitrogen atmosphere. Systematic research for methanogens in human and animal fecal samples detected Ca. M. massiliense in pig and red kangaroo feces, raising the possibility of its zoonotic acquisition. Host specificity, source of acquisition, and adaptation of methanogens should be further investigated.
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Affiliation(s)
- Virginie Pilliol
- Aix-Marseille Université, IRD, MEPHI, IHU Méditerranée Infection, Marseille, France
- Aix-Marseille Université, Ecole de Médecine Dentaire, Marseille, France
| | - Madjid Morsli
- Aix-Marseille Université, IRD, MEPHI, IHU Méditerranée Infection, Marseille, France
- IHU Méditerranée Infection, Marseille, France
| | - Laureline Terlier
- Aix-Marseille Université, IRD, MEPHI, IHU Méditerranée Infection, Marseille, France
| | - Yasmine Hassani
- Aix-Marseille Université, IRD, MEPHI, IHU Méditerranée Infection, Marseille, France
- IHU Méditerranée Infection, Marseille, France
| | - Ihab Malat
- Aix-Marseille Université, IRD, MEPHI, IHU Méditerranée Infection, Marseille, France
- IHU Méditerranée Infection, Marseille, France
| | - Cheick Oumar Guindo
- Aix-Marseille Université, IRD, MEPHI, IHU Méditerranée Infection, Marseille, France
- IHU Méditerranée Infection, Marseille, France
| | - Bernard Davoust
- Aix-Marseille Université, IRD, MEPHI, IHU Méditerranée Infection, Marseille, France
- IHU Méditerranée Infection, Marseille, France
| | | | - Michel Drancourt
- Aix-Marseille Université, IRD, MEPHI, IHU Méditerranée Infection, Marseille, France
- IHU Méditerranée Infection, Marseille, France
| | - Gérard Aboudharam
- Aix-Marseille Université, IRD, MEPHI, IHU Méditerranée Infection, Marseille, France
- Aix-Marseille Université, Ecole de Médecine Dentaire, Marseille, France
| | | | - Elodie Terrer
- Aix-Marseille Université, IRD, MEPHI, IHU Méditerranée Infection, Marseille, France
- IHU Méditerranée Infection, Marseille, France
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Pilliol V, Beye M, Terlier L, Balmelle J, Kacel I, Lan R, Aboudharam G, Grine G, Terrer E. Methanobrevibacter massiliense and Pyramidobacter piscolens Co-Culture Illustrates Transkingdom Symbiosis. Microorganisms 2024; 12:215. [PMID: 38276200 PMCID: PMC10819710 DOI: 10.3390/microorganisms12010215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 01/11/2024] [Accepted: 01/17/2024] [Indexed: 01/27/2024] Open
Abstract
Among oral microbiota methanogens, Methanobrevibacter massiliense (M. massiliense) has remained less studied than the well-characterised and cultivated methanogens Methanobrevibacter oralis and Methanobrevibacter smithii. M. massiliense has been associated with different oral pathologies and was co-isolated with the Synergistetes bacterium Pyramidobacter piscolens (P. piscolens) in one case of severe periodontitis. Here, reporting on two additional necrotic pulp cases yielded the opportunity to characterise two co-cultivated M. massiliense isolates, both with P. piscolens, as non-motile, 1-2-µm-long and 0.6-0.8-µm-wide Gram-positive coccobacilli which were autofluorescent at 420 nm. The two whole genome sequences featured a 31.3% GC content, gapless 1,834,388-base-pair chromosome exhibiting an 85.9% coding ratio, encoding a formate dehydrogenase promoting M. massiliense growth without hydrogen in GG medium. These data pave the way to understanding a symbiotic, transkingdom association with P. piscolens and its role in oral pathologies.
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Affiliation(s)
- Virginie Pilliol
- IRD, AP-HM, MEPHI, IHU Méditerranée Infection, Aix-Marseille University, 13005 Marseille, France; (V.P.); (L.T.); (J.B.); (G.A.)
- Ecole de Médecine Dentaire, Aix-Marseille University, 13385 Marseille, France;
| | - Mamadou Beye
- IHU Méditerranée Infection, 13005 Marseille, France; (M.B.); (I.K.)
| | - Laureline Terlier
- IRD, AP-HM, MEPHI, IHU Méditerranée Infection, Aix-Marseille University, 13005 Marseille, France; (V.P.); (L.T.); (J.B.); (G.A.)
- IHU Méditerranée Infection, 13005 Marseille, France; (M.B.); (I.K.)
| | - Julien Balmelle
- IRD, AP-HM, MEPHI, IHU Méditerranée Infection, Aix-Marseille University, 13005 Marseille, France; (V.P.); (L.T.); (J.B.); (G.A.)
- IHU Méditerranée Infection, 13005 Marseille, France; (M.B.); (I.K.)
| | - Idir Kacel
- IHU Méditerranée Infection, 13005 Marseille, France; (M.B.); (I.K.)
| | - Romain Lan
- Ecole de Médecine Dentaire, Aix-Marseille University, 13385 Marseille, France;
- CNRS, EFS, ADES, Aix-Marseille University, 13385 Marseille, France
| | - Gérard Aboudharam
- IRD, AP-HM, MEPHI, IHU Méditerranée Infection, Aix-Marseille University, 13005 Marseille, France; (V.P.); (L.T.); (J.B.); (G.A.)
- Ecole de Médecine Dentaire, Aix-Marseille University, 13385 Marseille, France;
| | - Ghiles Grine
- IRD, AP-HM, MEPHI, IHU Méditerranée Infection, Aix-Marseille University, 13005 Marseille, France; (V.P.); (L.T.); (J.B.); (G.A.)
- IHU Méditerranée Infection, 13005 Marseille, France; (M.B.); (I.K.)
| | - Elodie Terrer
- IRD, AP-HM, MEPHI, IHU Méditerranée Infection, Aix-Marseille University, 13005 Marseille, France; (V.P.); (L.T.); (J.B.); (G.A.)
- Ecole de Médecine Dentaire, Aix-Marseille University, 13385 Marseille, France;
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Batool M, Galloway-Peña J. Clinical metagenomics-challenges and future prospects. Front Microbiol 2023; 14:1186424. [PMID: 37448579 PMCID: PMC10337830 DOI: 10.3389/fmicb.2023.1186424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 06/12/2023] [Indexed: 07/15/2023] Open
Abstract
Infections lacking precise diagnosis are often caused by a rare or uncharacterized pathogen, a combination of pathogens, or a known pathogen carrying undocumented or newly acquired genes. Despite medical advances in infectious disease diagnostics, many patients still experience mortality or long-term consequences due to undiagnosed or misdiagnosed infections. Thus, there is a need for an exhaustive and universal diagnostic strategy to reduce the fraction of undocumented infections. Compared to conventional diagnostics, metagenomic next-generation sequencing (mNGS) is a promising, culture-independent sequencing technology that is sensitive to detecting rare, novel, and unexpected pathogens with no preconception. Despite the fact that several studies and case reports have identified the effectiveness of mNGS in improving clinical diagnosis, there are obvious shortcomings in terms of sensitivity, specificity, costs, standardization of bioinformatic pipelines, and interpretation of findings that limit the integration of mNGS into clinical practice. Therefore, physicians must understand the potential benefits and drawbacks of mNGS when applying it to clinical practice. In this review, we will examine the current accomplishments, efficacy, and restrictions of mNGS in relation to conventional diagnostic methods. Furthermore, we will suggest potential approaches to enhance mNGS to its maximum capacity as a clinical diagnostic tool for identifying severe infections.
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Avershina E, Khezri A, Ahmad R. Clinical Diagnostics of Bacterial Infections and Their Resistance to Antibiotics-Current State and Whole Genome Sequencing Implementation Perspectives. Antibiotics (Basel) 2023; 12:antibiotics12040781. [PMID: 37107143 PMCID: PMC10135054 DOI: 10.3390/antibiotics12040781] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 03/19/2023] [Accepted: 04/13/2023] [Indexed: 04/29/2023] Open
Abstract
Antimicrobial resistance (AMR), defined as the ability of microorganisms to withstand antimicrobial treatment, is responsible for millions of deaths annually. The rapid spread of AMR across continents warrants systematic changes in healthcare routines and protocols. One of the fundamental issues with AMR spread is the lack of rapid diagnostic tools for pathogen identification and AMR detection. Resistance profile identification often depends on pathogen culturing and thus may last up to several days. This contributes to the misuse of antibiotics for viral infection, the use of inappropriate antibiotics, the overuse of broad-spectrum antibiotics, or delayed infection treatment. Current DNA sequencing technologies offer the potential to develop rapid infection and AMR diagnostic tools that can provide information in a few hours rather than days. However, these techniques commonly require advanced bioinformatics knowledge and, at present, are not suited for routine lab use. In this review, we give an overview of the AMR burden on healthcare, describe current pathogen identification and AMR screening methods, and provide perspectives on how DNA sequencing may be used for rapid diagnostics. Additionally, we discuss the common steps used for DNA data analysis, currently available pipelines, and tools for analysis. Direct, culture-independent sequencing has the potential to complement current culture-based methods in routine clinical settings. However, there is a need for a minimum set of standards in terms of evaluating the results generated. Additionally, we discuss the use of machine learning algorithms regarding pathogen phenotype detection (resistance/susceptibility to an antibiotic).
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Affiliation(s)
- Ekaterina Avershina
- Department of Biotechnology, Inland Norway University of Applied Sciences, Holsetgata, 222317 Hamar, Norway
| | - Abdolrahman Khezri
- Department of Biotechnology, Inland Norway University of Applied Sciences, Holsetgata, 222317 Hamar, Norway
| | - Rafi Ahmad
- Department of Biotechnology, Inland Norway University of Applied Sciences, Holsetgata, 222317 Hamar, Norway
- Institute of Clinical Medicine, Faculty of Health Science, UiT The Arctic University of Norway, Hansine Hansens veg, 189019 Tromsø, Norway
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Morsli M, Boudet A, Kerharo Q, Stephan R, Salipante F, Dunyach-Remy C, Houhamdi L, Fournier PE, Lavigne JP, Drancourt M. Real-time metagenomics-based diagnosis of community-acquired meningitis: A prospective series, southern France. EBioMedicine 2022; 84:104247. [PMID: 36087524 PMCID: PMC9463524 DOI: 10.1016/j.ebiom.2022.104247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 08/16/2022] [Accepted: 08/16/2022] [Indexed: 11/05/2022] Open
Abstract
BACKGROUND Point-Of-Care (POC) diagnosis of life-threatening community-acquired meningitis currently relies on multiplexed RT-PCR assays, that lack genotyping and antibiotic susceptibility profiling. We assessed the usefulness of real-time metagenomics (RTM) directly applied to the cerebrospinal fluid (CSF) for the identification, typing and susceptibility profiling of pathogens responsible for community-acquired meningitis. METHODS A series of 52 CSF samples from patients suspected of having community-acquired meningitis, were investigated at POC by direct RTM in parallel to routine real-time multiplex PCR (RT-PCR) and bacterial culture, for the detection of pathogens. RTM-generated sequences were blasted in real-time against an in-house database incorporating the panel of 12 most prevalent pathogens and against NCBI using EPI2ME online software, for pathogen identification. In-silico antibiogram and genotype prediction were determined using the ResFinder bio-tool and MLST online software. FINDINGS Over eight months, routine multiplex RT-PCR yielded 49/52 positive CSFs, including 21 Streptococcus pneumoniae, nine Neisseria meningitidis, eight Haemophilus influenzae, three Streptococcus agalactiae, three Herpesvirus-1, two Listeria monocytogenes, and one each of Escherichia coli, Staphylococcus aureus and Varicella-Zoster Virus. Parallel RTM agreed with the results of 47/52 CSFs and revealed two discordant multiplex RT-PCR false positives, one H. influenzae and one S. pneumoniae. Both multiplex RT-PCR and RTM agreed on the negativity of three CSFs. While multiplex RT-PCR routinely took 90 min, RTM took 120 min, although the pipeline analysis detected the pathogen genome after 20 min of sequencing in 33 CSF samples; and after two hours in 14 additional CSFs; yielding > 50% genome coverage in 19 CSFs. RTM identified 14 pathogen genotypes, including a majority of H. influenzae b, N. meningitidis B and S. pneumoniae 11A and 3A. In all 16 susceptible cultured bacteria, the in-silico antibiogram agreed with the in-vitro antibiogram in 10 cases, available within 48 h in routine bacteriology. INTERPRETATION In addition to pathogen detection, RTM applied to CSF samples offered supplementary information on bacterial profiling and genotyping. These data provide the proof-of-concept that RTM could be implemented in a POC laboratory for one-shot diagnostic and genomic surveillance of pathogens responsible for life-threatening meningitis. FUNDING This work was supported by the French Government under the Investments in the Future programme managed by the National Agency for Research reference: Méditerranée Infection 10-IAHU-03.
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Affiliation(s)
- Madjid Morsli
- IHU Méditerranée Infection, Marseille, France; IRD, MEPHI, IHU Méditerranée Infection, Aix-Marseille-Université, France
| | - Agathe Boudet
- VBIC, INSERM U 1047, Université de Montpellier, France; Service de Microbiologie et Hygiène Hospitalière, CHU Nîmes, Nîmes, France
| | - Quentin Kerharo
- IHU Méditerranée Infection, Marseille, France; Laboratoire de Microbiologie, Assistance Publique-Hôpitaux de Marseille, IHU, Méditerranée Infection, Marseille, France
| | - Robin Stephan
- Service de Microbiologie et Hygiène Hospitalière, CHU Nîmes, Nîmes, France
| | - Florian Salipante
- Service de Microbiologie et Hygiène Hospitalière, CHU Nîmes, Nîmes, France; Service de Biostatistique, Epidémiologie, Santé Publique, Innovation en Méthodologie, CHU Nîmes, Nîmes, France
| | - Catherine Dunyach-Remy
- VBIC, INSERM U 1047, Université de Montpellier, France; Service de Microbiologie et Hygiène Hospitalière, CHU Nîmes, Nîmes, France
| | | | - Pierre-Edouard Fournier
- IHU Méditerranée Infection, Marseille, France; VITROME, IHU Méditerranée Infection, Aix-Marseille Université, Marseille, France
| | - Jean Philippe Lavigne
- VBIC, INSERM U 1047, Université de Montpellier, France; Service de Microbiologie et Hygiène Hospitalière, CHU Nîmes, Nîmes, France
| | - Michel Drancourt
- IHU Méditerranée Infection, Marseille, France; IRD, MEPHI, IHU Méditerranée Infection, Aix-Marseille-Université, France; Laboratoire de Microbiologie, Assistance Publique-Hôpitaux de Marseille, IHU, Méditerranée Infection, Marseille, France.
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Pallerla SR, Van Dong D, Linh LTK, Van Son T, Quyen DT, Hoan PQ, Trung NT, The NT, Rüter J, Boutin S, Nurjadi D, Sy BT, Kremsner PG, Meyer CG, Song LH, Velavan TP. Diagnosis of pathogens causing bacterial meningitis using Nanopore sequencing in a resource-limited setting. Ann Clin Microbiol Antimicrob 2022; 21:39. [PMID: 36064402 PMCID: PMC9443622 DOI: 10.1186/s12941-022-00530-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 08/11/2022] [Indexed: 11/21/2022] Open
Abstract
Aim The aim of the present study is to compare the performance of 16S rRNA Nanopore sequencing and conventional culture in detecting infectious pathogens in patients with suspected meningitis in a resource-limited setting without extensive bioinformatics expertise. Methods DNA was isolated from the cerebrospinal fluid (CSF) of 30 patients with suspected bacterial meningitis. The isolated DNA was subjected to 16S sequencing using MinION™. The data were analysed in real time via the EPI2ME cloud platform. The Nanopore sequencing was done in parallel to routine microbiological diagnostics. Results Nanopore sequencing detected bacterial pathogens to species level in 13 of 30 (43%) samples. CSF culture showed 40% (12/30) positivity. In 21 of 30 patients (70%) with suspected bacterial meningitis, both methods yielded concordant results. About nine of 30 samples showed discordant results, of these five were false positive and four were false negative. In five of the culture negative results, nanopore sequencing was able to detect pathogen genome, due to the higher sensitivity of the molecular diagnostics. In two other samples, the CSF culture revealed Cryptococcus neoformans and Streptococcus pneumoniae, which were not detected by Nanopore sequencing. Overall, using both the cultures and 16S Nanopore sequencing, positivity rate increased from 40% (12/30) to 57% (17/30). Conclusion Next-generation sequencing could detect pathogens within six hours and could become an important tool for both pathogen screening and surveillance in low- and middle-income countries (LMICs) that do not have direct access to extensive bioinformatics expertise. Supplementary Information The online version contains supplementary material available at 10.1186/s12941-022-00530-6.
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Affiliation(s)
- Srinivas Reddy Pallerla
- Institute of Tropical Medicine, Universitätsklinikum Tübingen, Wilhelmstrasse 27, 72074, Tübingen, Germany
| | - Do Van Dong
- Vietnamese-German Center for Medical Research, VG-CARE, Hanoi, Vietnam
| | - Le Thi Kieu Linh
- Institute of Tropical Medicine, Universitätsklinikum Tübingen, Wilhelmstrasse 27, 72074, Tübingen, Germany.,Vietnamese-German Center for Medical Research, VG-CARE, Hanoi, Vietnam
| | - Trinh Van Son
- Vietnamese-German Center for Medical Research, VG-CARE, Hanoi, Vietnam
| | - Dao Thanh Quyen
- Vietnamese-German Center for Medical Research, VG-CARE, Hanoi, Vietnam.,Department of Molecular Biology, 108 Military Central Hospital, Hanoi, Vietnam
| | - Phan Quoc Hoan
- Vietnamese-German Center for Medical Research, VG-CARE, Hanoi, Vietnam.,Department of Molecular Biology, 108 Military Central Hospital, Hanoi, Vietnam
| | - Ngo Tat Trung
- Vietnamese-German Center for Medical Research, VG-CARE, Hanoi, Vietnam.,Centre de Recherche Médicales de Lambaréné, Lambaréné, Gabon
| | - Nguyen Trong The
- Vietnamese-German Center for Medical Research, VG-CARE, Hanoi, Vietnam.,Centre de Recherche Médicales de Lambaréné, Lambaréné, Gabon
| | - Jule Rüter
- Institute of Tropical Medicine, Universitätsklinikum Tübingen, Wilhelmstrasse 27, 72074, Tübingen, Germany
| | - Sébastien Boutin
- Department of Infectious Diseases, Medical Microbiology and Hygiene, Heidelberg University Hospital, Heidelberg, Germany
| | - Dennis Nurjadi
- Department of Infectious Diseases, Medical Microbiology and Hygiene, Heidelberg University Hospital, Heidelberg, Germany.,Department of Infectious Diseases and Microbiology, University of Lübeck, Lübeck, Germany
| | - Bui Tien Sy
- Vietnamese-German Center for Medical Research, VG-CARE, Hanoi, Vietnam.,Department of Microbiology, 108 Military Central Hospital, Hanoi, Vietnam
| | - Peter G Kremsner
- Institute of Tropical Medicine, Universitätsklinikum Tübingen, Wilhelmstrasse 27, 72074, Tübingen, Germany.,Centre de Recherche Médicales de Lambaréné, Lambaréné, Gabon
| | - Christian G Meyer
- Institute of Tropical Medicine, Universitätsklinikum Tübingen, Wilhelmstrasse 27, 72074, Tübingen, Germany.,Vietnamese-German Center for Medical Research, VG-CARE, Hanoi, Vietnam
| | - Le Huu Song
- Vietnamese-German Center for Medical Research, VG-CARE, Hanoi, Vietnam. .,108 Military Central Hospital, Hanoi, Vietnam.
| | - Thirumalaisamy P Velavan
- Institute of Tropical Medicine, Universitätsklinikum Tübingen, Wilhelmstrasse 27, 72074, Tübingen, Germany. .,Vietnamese-German Center for Medical Research, VG-CARE, Hanoi, Vietnam.
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Morsli M, Lavigne JP, Drancourt M. Direct Metagenomic Diagnosis of Community-Acquired Meningitis: State of the Art. Front Microbiol 2022; 13:926240. [PMID: 35865915 PMCID: PMC9294516 DOI: 10.3389/fmicb.2022.926240] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 06/06/2022] [Indexed: 11/13/2022] Open
Abstract
Current routine diagnosis of community-acquired meningitis (CAM) by multiplex real-time polymerase chain reaction (RT-PCR) is limited in the number of tested pathogens and their full characterisation, requiring additional in vitro investigations to disclose genotype and antimicrobial susceptibility. We reviewed 51 studies published through December 2021 reporting metagenomic next generation sequencing (mNGS) directly applied to the cerebrospinal fluid (CSF). This approach, potentially circumventing the above-mentioned limitations, indicated 1,248 investigated patients, and 617 patients dually investigated by routine diagnosis and mNGS, in whom 116 microbes were detected, including 50 by mNGS only, nine by routine methods only, and 57 by both routine methods and mNGS. Of 217 discordant CSF findings, 103 CSF samples were documented by mNGS only, 87 CSF samples by routine methods only, and 27 CSF samples in which the pathogen identified by mNGS was different than that found using routine methods. Overall, mNGS allowed for diagnosis and genomic surveillance of CAM causative pathogens in real-time, with a cost which is competitive with current routine multiplex RT-PCR. mNGS could be implemented at point-of-care (POC) laboratories as a part of routine investigations to improve the diagnosis and molecular epidemiology of CAM, particularly in the event of failure of routine assays.
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Affiliation(s)
- Madjid Morsli
- IHU Méditerranée Infection, Marseille, France
- Aix-Marseille Université, IRD, MEPHI, IHU Méditerranée Infection, Marseille, France
| | - Jean Philippe Lavigne
- VBIC, INSERM U1047, Université de Montpellier, Service de Microbiologie et Hygiène Hospitalière, CHU Nîmes, Nîmes, France
| | - Michel Drancourt
- IHU Méditerranée Infection, Marseille, France
- Aix-Marseille Université, IRD, MEPHI, IHU Méditerranée Infection, Marseille, France
- Laboratoire de Microbiologie, Assistance Publique-Hôpitaux de Marseille, IHU Méditerranée Infection, Marseille, France
- *Correspondence: Michel Drancourt,
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Diagnostic value of metagenomic next-generation sequencing of bronchoalveolar lavage fluid for the diagnosis of suspected pneumonia in immunocompromised patients. BMC Infect Dis 2022; 22:416. [PMID: 35488253 PMCID: PMC9052728 DOI: 10.1186/s12879-022-07381-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Accepted: 04/13/2022] [Indexed: 12/14/2022] Open
Abstract
Background To evaluate the diagnostic value of metagenomic next-generation sequencing (mNGS) of bronchoalveolar lavage fluid (BALF) in immunocompromised patients for the diagnosis of suspected pneumonia in comparison with that of conventional microbiological tests (CMTs). Methods Sixty-nine immunocompromised patients with suspected pneumonia received both CMTs and mNGS of BALF were analyzed retrospectively. The diagnostic value was compared between CMTs and mNGS, using the clinical composite diagnosis as the reference standard. Results Sixty patients were diagnosed of pneumonia including fifty-two patients with identified pathogens and eight patients with probable pathogens. Taking the composite reference standard as a gold standard, 42 pathogens were identified by CMTs including nine bacteria, 17 fungi, 8 virus, 6 Mycobacterium Tuberculosis, and two Legionella and 19(45%) of which were detected by BALF culture. As for mNGS, it identified 76 pathogens including 20 bacteria, 31 fungi, 14 virus, 5 Mycobacterium Tuberculosis, four Legionella and two Chlamydia psittaci. The overall detection rate of mNGS for pathogens were higher than that of CMTs. However, a comparable diagnostic accuracy of mNGS and CMTs were found for bacterial and viral infections. mNGS exhibited a higher diagnostic accuracy for fungal detection than CMTs (78% vs. 57%, P < 0.05), which mainly because of the high sensitivity of mNGS in patients with Pneumocystis jirovecii pneumonia (PJP) (100% vs. 28%, P < 0.05). Nineteen patients were identified as pulmonary co-infection, mNGS test showed a higher detection rate and broader spectrum for pathogen detection than that of CMTs in co-infection. Moreover, Pneumocystis jirovecii was the most common pathogen in co-infection and mNGS have identified much more co-pathogens of PJP than CMTs. Conclusions mNGS of BALF improved the microbial detection rate of pathogens and exhibited remarkable advantages in detecting PJP and identifying co-infection in immunocompromised patients. Supplementary Information The online version contains supplementary material available at 10.1186/s12879-022-07381-8.
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Direct diagnosis of Pasteurella multocida meningitis using next-generation sequencing. THE LANCET MICROBE 2022; 3:e6. [DOI: 10.1016/s2666-5247(21)00277-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 09/30/2021] [Accepted: 10/05/2021] [Indexed: 11/16/2022] Open
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Guindo CO, Morsli M, Bellali S, Drancourt M, Grine G. A Tetragenococcus halophilus human gut isolate. CURRENT RESEARCH IN MICROBIAL SCIENCES 2022; 3:100112. [PMID: 35243447 PMCID: PMC8866149 DOI: 10.1016/j.crmicr.2022.100112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Revised: 02/02/2022] [Accepted: 02/07/2022] [Indexed: 10/28/2022] Open
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Real-time whole genome sequencing direct diagnosis of Streptococcus pneumoniae meningitis: A case report. J Infect 2021; 83:709-737. [PMID: 34627841 DOI: 10.1016/j.jinf.2021.10.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 09/28/2021] [Accepted: 10/01/2021] [Indexed: 11/22/2022]
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