1
|
Tuladhar ET, Shrestha S, Vernon S, Droit L, Mihindukulasuriya KA, Tamang M, Karki L, Elong Ngono A, Jha B, Awal BK, Chalise BS, Jha R, Shresta S, Wang D, Manandhar KD. Gemykibivirus detection in acute encephalitis patients from Nepal. mSphere 2024; 9:e0021924. [PMID: 38904383 PMCID: PMC11287993 DOI: 10.1128/msphere.00219-24] [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: 03/15/2024] [Accepted: 05/08/2024] [Indexed: 06/22/2024] Open
Abstract
Acute encephalitis syndrome (AES) causes significant morbidity and mortality worldwide. In Nepal, Japanese encephalitis virus (JEV) accounts for ~5-20% of AES cases, but ~75% of AES cases are of unknown etiology. We identified a gemykibivirus in CSF collected in 2020 from an 8-year-old male patient with AES using metagenomic next-generation sequencing. Gemykibiviruses are single stranded, circular DNA viruses in the family Genomoviridae. The complete genome of 2,211 nucleotides was sequenced, which shared 98.69% nucleotide identity to its closest relative, Human associated gemykibivirus 2 isolate SAfia-449D. Two real-time PCR assays were designed, and screening of 337 cerebrospinal fluid (CSF) and 164 serum samples from AES patients in Nepal collected in 2020 and 2022 yielded 11 CSF and 1 serum sample that were positive in both PCR assays. Complete genomes of seven of the positives were sequenced. These results identify a potential candidate etiologic agent of encephalitis in Nepal. IMPORTANCE Viral encephalitis is a devastating disease, but unfortunately, worldwide, the causative virus in many cases is unknown. Therefore, it is important to identify viruses that could be responsible for cases of human encephalitis. Here, using metagenomic sequencing of CSF, we identified a gemykibivirus in a male child from Nepal with acute encephalitis syndrome (AES). We subsequently detected gemykibivirus DNA in CSF or serum of 12 more encephalitis patients by real-time PCR. The virus genomes we identified are highly similar to gemykibiviruses previously detected in CSF of three encephalitis patients from Sri Lanka. These results raise the possibility that gemykibivirus could be an underrecognized human pathogen.
Collapse
Affiliation(s)
- Eans Tara Tuladhar
- Tribhuvan University Central Department of Biotechnology, Kathmandu, Nepal
| | - Smita Shrestha
- Tribhuvan University Central Department of Biotechnology, Kathmandu, Nepal
| | - Susan Vernon
- Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - Lindsay Droit
- Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | | | - Mamta Tamang
- Tribhuvan University Central Department of Biotechnology, Kathmandu, Nepal
| | - Lata Karki
- Tribhuvan University Central Department of Biotechnology, Kathmandu, Nepal
| | | | - Bimlesh Jha
- National Public Health Laboratory, Kathmandu, Nepal
| | | | | | - Runa Jha
- National Public Health Laboratory, Kathmandu, Nepal
| | - Sujan Shresta
- La Jolla Institute for Immunology, San Diego, California, USA
| | - David Wang
- Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | | |
Collapse
|
2
|
Tuladhar ET, Shrestha S, Vernon S, Droit L, Mihindukulasuriya KA, Tamang M, Karki L, Ngono AE, Jha B, Awal BK, Chalise BS, Jha R, Shresta S, Wang D, Manandhar KD. Gemykibivirus detection in acute encephalitis patients from Nepal. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.02.13.24302648. [PMID: 38405898 PMCID: PMC10889008 DOI: 10.1101/2024.02.13.24302648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Acute Encephalitis Syndrome (AES) causes significant morbidity and mortality worldwide. In Nepal, Japanese encephalitis virus (JEV) accounts for ~ 5-20% of AES cases, but ~75% of AES cases are of unknown etiology. We identified a gemykibivirus in CSF collected in 2020 from a male child with AES using metagenomic next-generation sequencing. Gemykibiviruses are single stranded, circular DNA viruses in the family Genomoviridae. The complete genome of 2211 nucleotides was sequenced which shared 98.69% nucleotide identity to its closest relative, Human associated gemykibivirus 2 isolate SAfia-449D. Two real-time PCR assays were designed, and screening of 337 CSF and 164 serum samples from AES patients in Nepal collected in 2020 and 2022 yielded 11 CSF and 1 serum sample that were positive in both PCR assays. Complete genomes of 7 of the positives were sequenced. These results identify a candidate etiologic agent of encephalitis in Nepal.
Collapse
Affiliation(s)
- Eans Tara Tuladhar
- Tribhuvan University Central Department of Biotechnology, Kathmandu, Nepal
| | - Smita Shrestha
- Tribhuvan University Central Department of Biotechnology, Kathmandu, Nepal
| | - Susan Vernon
- Washington University in St. Louis, Missouri, United States
| | - Lindsay Droit
- Washington University in St. Louis, Missouri, United States
| | | | - Mamta Tamang
- Tribhuvan University Central Department of Biotechnology, Kathmandu, Nepal
| | - Lata Karki
- Tribhuvan University Central Department of Biotechnology, Kathmandu, Nepal
| | | | - Bimlesh Jha
- National Public Health Laboratory, Kathmandu, Nepal
| | | | | | - Runa Jha
- National Public Health Laboratory, Kathmandu, Nepal
| | - Sujan Shresta
- La Jolla Institute for Immunology, California, United States
| | - David Wang
- Washington University in St. Louis, Missouri, United States
| | | |
Collapse
|
3
|
Zhang M, Chen L, Zhao H, Qiao T, Jiang L, Wang C, Zhong X, Li X, Xu Y. Metagenomic next-generation sequencing for diagnosis of infectious encephalitis and meningitis: a retrospective study of 90 patients. Neurol Res 2024; 46:187-194. [PMID: 37931016 DOI: 10.1080/01616412.2023.2265243] [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: 12/23/2022] [Accepted: 09/24/2023] [Indexed: 11/08/2023]
Abstract
BACKGROUND Infections of the central nervous system (CNS) are potentially life-threatening and can cause serious morbidity. We evaluated the clinical value of metagenomic next-generation sequencing (mNGS) in the diagnosis of infectious encephalitis and meningitis and explored the factors affecting the results of mNGS. METHODS Patients with suspected cases of encephalitis or meningitis who presented in Northern Jiangsu People's Hospital from 1 March 2018 to 30 September 2022 were collected. Demographic, historical, and clinical information were obtained, and cerebrospinal fluid (CSF) samples were treated with mNGS. The pathogen was identified using National Center for Biotechnology Information (NCBI) GenBank sequence data. RESULTS Ninety-six patients were screened and finally 90 subjects enrolled. Of the 90 enrolled cases, 67 (74.4%) were diagnosed with central nervous system infections, which included 48 cases (71.6%) of viral infection, 11 (12.2%) of bacterial infection, 5 (7.5%) of mycobacterium tuberculosis, 2 (3.0%) of fungal infection, and 1 (1.5%) of rickettsia infection. From these cases, mNGS identified 40 (44.4%) true-positive cases, 3 (3.3%) false-positive case, 22 (24.4%) true-negative cases, and 25 (27.8%) false-negative cases. The sensitivity and specificity of mNGS were 61.5% and 88%, respectively. mNGS of CSF could show a higher positive rate in patients with marked CSF abnormalities, including elevated protein concentrations and monocyte counts. CONCLUSION mNGS of CSF is an effective method for detecting infectious encephalitis and meningitis, and the results should be analyzed combined with conventional microbiological testing results.
Collapse
Affiliation(s)
- Mengling Zhang
- Department of Neurology, Northern Jiangsu People's Hospital, Clinical Medical College of Yangzhou University, Yangzhou, China
| | - Lanlan Chen
- Department of Neurology, Northern Jiangsu People's Hospital, Clinical Medical College of Yangzhou University, Yangzhou, China
| | - Haina Zhao
- Department of Neurology, Northern Jiangsu People's Hospital, Clinical Medical College of Yangzhou University, Yangzhou, China
| | - Tingting Qiao
- Department of Neurology, Northern Jiangsu People's Hospital, Clinical Medical College of Yangzhou University, Yangzhou, China
| | - Li Jiang
- Department of Gerontology Northern Jiangsu People's Hospital, Clinical Medical School of Yangzhou University, Yangzhou, China
| | - Chenxin Wang
- Department of Neurology, Northern Jiangsu People's Hospital, The Yangzhou School of Clinical Medicine of Dalian Medical University, Yangzhou, China
| | - Xingxing Zhong
- Department of Neurology, Northern Jiangsu People's Hospital, Clinical Medical College of Yangzhou University, Yangzhou, China
| | - Xiaobo Li
- Department of Neurology, Northern Jiangsu People's Hospital, Clinical Medical College of Yangzhou University, Yangzhou, China
| | - Yao Xu
- Department of Neurology, Northern Jiangsu People's Hospital, Clinical Medical College of Yangzhou University, Yangzhou, China
| |
Collapse
|
4
|
Ibañez-Lligoña M, Colomer-Castell S, González-Sánchez A, Gregori J, Campos C, Garcia-Cehic D, Andrés C, Piñana M, Pumarola T, Rodríguez-Frias F, Antón A, Quer J. Bioinformatic Tools for NGS-Based Metagenomics to Improve the Clinical Diagnosis of Emerging, Re-Emerging and New Viruses. Viruses 2023; 15:v15020587. [PMID: 36851800 PMCID: PMC9965957 DOI: 10.3390/v15020587] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 02/16/2023] [Accepted: 02/17/2023] [Indexed: 02/24/2023] Open
Abstract
Epidemics and pandemics have occurred since the beginning of time, resulting in millions of deaths. Many such disease outbreaks are caused by viruses. Some viruses, particularly RNA viruses, are characterized by their high genetic variability, and this can affect certain phenotypic features: tropism, antigenicity, and susceptibility to antiviral drugs, vaccines, and the host immune response. The best strategy to face the emergence of new infectious genomes is prompt identification. However, currently available diagnostic tests are often limited for detecting new agents. High-throughput next-generation sequencing technologies based on metagenomics may be the solution to detect new infectious genomes and properly diagnose certain diseases. Metagenomic techniques enable the identification and characterization of disease-causing agents, but they require a large amount of genetic material and involve complex bioinformatic analyses. A wide variety of analytical tools can be used in the quality control and pre-processing of metagenomic data, filtering of untargeted sequences, assembly and quality control of reads, and taxonomic profiling of sequences to identify new viruses and ones that have been sequenced and uploaded to dedicated databases. Although there have been huge advances in the field of metagenomics, there is still a lack of consensus about which of the various approaches should be used for specific data analysis tasks. In this review, we provide some background on the study of viral infections, describe the contribution of metagenomics to this field, and place special emphasis on the bioinformatic tools (with their capabilities and limitations) available for use in metagenomic analyses of viral pathogens.
Collapse
Affiliation(s)
- Marta Ibañez-Lligoña
- Liver Diseases-Viral Hepatitis, Liver Unit, Vall d’Hebron Institut de Recerca (VHIR), Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, Passeig Vall d’Hebron 119-129, 08035 Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, 28029 Madrid, Spain
- Biochemistry and Molecular Biology Department, Universitat Autònoma de Barcelona (UAB), Campus de la UAB, Plaça Cívica, 08193 Bellaterra, Spain
| | - Sergi Colomer-Castell
- Liver Diseases-Viral Hepatitis, Liver Unit, Vall d’Hebron Institut de Recerca (VHIR), Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, Passeig Vall d’Hebron 119-129, 08035 Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, 28029 Madrid, Spain
- Biochemistry and Molecular Biology Department, Universitat Autònoma de Barcelona (UAB), Campus de la UAB, Plaça Cívica, 08193 Bellaterra, Spain
| | - Alejandra González-Sánchez
- Microbiology Department, Vall d’Hebron Institut de Recerca (VHIR), Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, Passeig Vall d’Hebron 119-129, 08035 Barcelona, Spain
| | - Josep Gregori
- Liver Diseases-Viral Hepatitis, Liver Unit, Vall d’Hebron Institut de Recerca (VHIR), Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, Passeig Vall d’Hebron 119-129, 08035 Barcelona, Spain
| | - Carolina Campos
- Liver Diseases-Viral Hepatitis, Liver Unit, Vall d’Hebron Institut de Recerca (VHIR), Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, Passeig Vall d’Hebron 119-129, 08035 Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, 28029 Madrid, Spain
- Biochemistry and Molecular Biology Department, Universitat Autònoma de Barcelona (UAB), Campus de la UAB, Plaça Cívica, 08193 Bellaterra, Spain
| | - Damir Garcia-Cehic
- Liver Diseases-Viral Hepatitis, Liver Unit, Vall d’Hebron Institut de Recerca (VHIR), Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, Passeig Vall d’Hebron 119-129, 08035 Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, 28029 Madrid, Spain
| | - Cristina Andrés
- Microbiology Department, Vall d’Hebron Institut de Recerca (VHIR), Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, Passeig Vall d’Hebron 119-129, 08035 Barcelona, Spain
| | - Maria Piñana
- Microbiology Department, Vall d’Hebron Institut de Recerca (VHIR), Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, Passeig Vall d’Hebron 119-129, 08035 Barcelona, Spain
| | - Tomàs Pumarola
- Microbiology Department, Vall d’Hebron Institut de Recerca (VHIR), Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, Passeig Vall d’Hebron 119-129, 08035 Barcelona, Spain
- Microbiology Department, Universitat Autònoma de Barcelona (UAB), Campus de la UAB, Plaça Cívica, 08193 Bellaterra, Spain
| | - Francisco Rodríguez-Frias
- Liver Diseases-Viral Hepatitis, Liver Unit, Vall d’Hebron Institut de Recerca (VHIR), Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, Passeig Vall d’Hebron 119-129, 08035 Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, 28029 Madrid, Spain
- Department of Basic Sciences, Universitat Internacional de Catalunya, Sant Cugat del Vallès, 08195 Barcelona, Spain
| | - Andrés Antón
- Microbiology Department, Vall d’Hebron Institut de Recerca (VHIR), Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, Passeig Vall d’Hebron 119-129, 08035 Barcelona, Spain
- Microbiology Department, Universitat Autònoma de Barcelona (UAB), Campus de la UAB, Plaça Cívica, 08193 Bellaterra, Spain
| | - Josep Quer
- Liver Diseases-Viral Hepatitis, Liver Unit, Vall d’Hebron Institut de Recerca (VHIR), Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, Passeig Vall d’Hebron 119-129, 08035 Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, 28029 Madrid, Spain
- Biochemistry and Molecular Biology Department, Universitat Autònoma de Barcelona (UAB), Campus de la UAB, Plaça Cívica, 08193 Bellaterra, Spain
- Correspondence:
| |
Collapse
|
5
|
Wang YL, Guo XT, Zhu MY, Mao YC, Xu XB, Hua Y, Xu L, Jiang LH, Zhao CY, Zhang X, Sheng GX, Jiang PF, Yuan ZF, Gao F. Metagenomic next-generation sequencing and proteomics analysis in pediatric viral encephalitis and meningitis. Front Cell Infect Microbiol 2023; 13:1104858. [PMID: 37153144 PMCID: PMC10161730 DOI: 10.3389/fcimb.2023.1104858] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 03/22/2023] [Indexed: 05/09/2023] Open
Abstract
Introduction Early and accurate identification of pathogens is essential for improved outcomes in patients with viral encephalitis (VE) and/or viral meningitis (VM). Methods In our research, Metagenomic next-generation sequencing (mNGS) which can identify viral pathogens unbiasedly was performed on RNA and DNA to identify potential pathogens in cerebrospinal fluid (CSF) samples from 50 pediatric patients with suspected VEs and/or VMs. Then we performed proteomics analysis on the 14 HEV-positive CSF samples and another 12 CSF samples from health controls (HCs). A supervised partial least squaresdiscriminant analysis (PLS-DA) and orthogonal PLS-DA (O-PLS-DA) model was performed using proteomics data. Results Ten viruses in 48% patients were identified and the most common pathogen was human enterovirus (HEV) Echo18. 11 proteins overlapping between the top 20 DEPs in terms of P value and FC and the top 20 proteins in PLS-DA VIP lists were acquired. Discussion Our result showed mNGS has certain advantages on pathogens identification in VE and VM and our research established a foundation to identify diagnosis biomarker candidates of HEV-positive meningitis based on MS-based proteomics analysis, which could also contribute toward investigating the HEV-specific host response patterns.
Collapse
Affiliation(s)
- Yi-Long Wang
- Department of Neurology, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center For Child Health, Hangzhou, Zhejiang, China
| | - Xiao-Tong Guo
- Department of Neurology, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center For Child Health, Hangzhou, Zhejiang, China
| | - Meng-Ying Zhu
- Department of Neurology, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center For Child Health, Hangzhou, Zhejiang, China
| | - Yu-Chen Mao
- Department of Neurology, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center For Child Health, Hangzhou, Zhejiang, China
| | - Xue-Bin Xu
- Department of Neurology, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center For Child Health, Hangzhou, Zhejiang, China
| | - Yi Hua
- Department of Neurology, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center For Child Health, Hangzhou, Zhejiang, China
| | - Lu Xu
- Department of Neurology, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center For Child Health, Hangzhou, Zhejiang, China
| | - Li-Hua Jiang
- Department of Neurology, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center For Child Health, Hangzhou, Zhejiang, China
| | - Cong-Ying Zhao
- Department of Neurology, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center For Child Health, Hangzhou, Zhejiang, China
| | - Xin Zhang
- Department of Neurology, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center For Child Health, Hangzhou, Zhejiang, China
| | - Guo-Xia Sheng
- Department of Neurology, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center For Child Health, Hangzhou, Zhejiang, China
| | - Pei-Fang Jiang
- Department of Neurology, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center For Child Health, Hangzhou, Zhejiang, China
| | - Zhe-Feng Yuan
- Department of Neurology, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center For Child Health, Hangzhou, Zhejiang, China
| | - Feng Gao
- Department of Neurology, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center For Child Health, Hangzhou, Zhejiang, China
- *Correspondence: Feng Gao,
| |
Collapse
|
6
|
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.
Collapse
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,
| |
Collapse
|
7
|
Barber RM, Li Q, Levine JM, Ruone SJ, Levine GJ, Kenny P, Tong S, Schatzberg SJ. Screening for Viral Nucleic Acids in the Cerebrospinal Fluid of Dogs With Central Nervous System Inflammation. Front Vet Sci 2022; 9:850510. [PMID: 35400093 PMCID: PMC8987525 DOI: 10.3389/fvets.2022.850510] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 02/16/2022] [Indexed: 01/17/2023] Open
Abstract
Central nervous system (CNS) inflammation is a common cause of neurological dysfunction in dogs. Most dogs with CNS inflammation are diagnosed with presumptive autoimmune disease. A smaller number are diagnosed with an infectious etiology. Additionally, at necropsy, a subset of dogs with CNS inflammation do not fit previously described patterns of autoimmune disease and an infectious cause is not readily identifiable. Because viral infection is a common cause of meningoencephalitis in people, we hypothesize that a subset of dogs presented with CNS inflammation have an occult viral infection either as a direct cause of CNS inflammation or a trigger for autoimmunity. The goal of this research was to screen cerebrospinal fluid from a large number dogs with CNS inflammation for occult viral infection. One hundred seventy-two dogs with neurological dysfunction and cerebrospinal fluid (CSF) pleocytosis were identified. Of these, 42 had meningoencephalitis of unknown origin, six had steroid-responsive meningitis-arteritis, one had eosinophilic meningoencephalitis, five had documented infection, 21 had and undetermined diagnosis, and 97 had a diagnosis not consistent with primary inflammatory disease of the CNS (e.g., neoplasia). CSF samples were subsequently screened with broadly reactive PCR for eight viral groups: adenovirus, bunyavirus, coronavirus, enterovirus, flavivirus, herpesvirus, paramyxovirus, and parechovirus. No viral nucleic acids were detected from 168 cases screened for eight viral groups, which does not support occult viral infection as a cause of CNS inflammation in dogs. La Crosse virus (LACV) nucleic acids were detected from four cases in Georgia. Subclinical infection was supported in two of these cases but LACV could not be ruled-out as a cause of infection in the other two cases, suggesting further research is warranted to determine if LACV is an occult cause of CNS inflammation in dogs.
Collapse
Affiliation(s)
- Renee M. Barber
- Department of Small Animal Medicine and Surgery, University of Georgia College of Veterinary Medicine, Athens, GA, United States
- *Correspondence: Renee M. Barber
| | - Qiang Li
- Becker Animal Hospital, Veterinary Centers of America, San Antonio, TX, United States
| | - Jonathan M. Levine
- Department of Small Animal Clinical Sciences, Texas A&M University College of Veterinary Medicine and Biomedical Sciences, College Station, TX, United States
| | - Susan J. Ruone
- Division of HIV Prevention, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Gwendolyn J. Levine
- Department of Veterinary Pathobiology, Texas A&M University College of Veterinary Medicine and Biomedical Sciences, College Station, TX, United States
| | - Patrick Kenny
- Department of Veterinary Clinical Sciences, The Royal Veterinary College, University of London, Hertfordshire, United Kingdom
| | - Suxiang Tong
- Division of Viral Diseases, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Scott J. Schatzberg
- Department of Small Animal Medicine and Surgery, University of Georgia College of Veterinary Medicine, Athens, GA, United States
| |
Collapse
|
8
|
Nessler JN, Jo WK, Osterhaus ADME, Ludlow M, Tipold A. Canine Meningoencephalitis of Unknown Origin-The Search for Infectious Agents in the Cerebrospinal Fluid via Deep Sequencing. Front Vet Sci 2021; 8:645517. [PMID: 34950723 PMCID: PMC8688736 DOI: 10.3389/fvets.2021.645517] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Accepted: 11/15/2021] [Indexed: 01/02/2023] Open
Abstract
Meningoencephalitis of unknown origin (MUO) describes a group of meningoencephalitides in dogs with a hitherto unknown trigger. An infectious agent has been suggested as one possible trigger of MUO but has not been proven so far. A relatively new method to screen for viral RNA or DNA is next-generation sequencing (NGS) or deep sequencing. In this study, a metagenomics analysis of the virome in a sample is analyzed and scanned for known or unknown viruses. We examined fresh-frozen CSF of 6 dogs with MUO via NGS using a modified sequence-independent, single-primer amplification protocol to detect a possible infectious trigger. Analysis of sequencing reads obtained from the six CSF samples showed no evidence of a virus infection. The inability to detect a viral trigger which could be implicated in the development of MUO in the examined population of European dogs, suggests that the current techniques are not sufficiently sensitive to identify a possible virus infection, that the virus is already eliminated at the time-point of disease outbreak, the trigger might be non-infectious or that there is no external trigger responsible for initiating MUO in dogs.
Collapse
Affiliation(s)
- Jasmin Nicole Nessler
- Department of Small Animal Medicine and Surgery, University of Veterinary Medicine Foundation, Hannover, Germany
| | - Wendy Karen Jo
- Research Center for Emerging Infections and Zoonoses, University of Veterinary Medicine Foundation, Hannover, Germany
| | - Albert D M E Osterhaus
- Research Center for Emerging Infections and Zoonoses, University of Veterinary Medicine Foundation, Hannover, Germany
| | - Martin Ludlow
- Research Center for Emerging Infections and Zoonoses, University of Veterinary Medicine Foundation, Hannover, Germany
| | - Andrea Tipold
- Department of Small Animal Medicine and Surgery, University of Veterinary Medicine Foundation, Hannover, Germany
| |
Collapse
|
9
|
Hodor P, Pope CE, Whitlock KB, Hoffman LR, Limbrick DL, McDonald PJ, Hauptman JS, Ojemann JG, Simon TD. Molecular Characterization of Microbiota in Cerebrospinal Fluid From Patients With CSF Shunt Infections Using Whole Genome Amplification Followed by Shotgun Sequencing. Front Cell Infect Microbiol 2021; 11:699506. [PMID: 34490140 PMCID: PMC8417900 DOI: 10.3389/fcimb.2021.699506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Accepted: 07/29/2021] [Indexed: 11/13/2022] Open
Abstract
Understanding the etiology of cerebrospinal fluid (CSF) shunt infections and reinfections requires detailed characterization of associated microorganisms. Traditionally, identification of bacteria present in the CSF has relied on culture methods, but recent studies have used high throughput sequencing of 16S rRNA genes. Here we evaluated the method of shotgun DNA sequencing for its potential to provide additional genomic information. CSF samples were collected from 3 patients near the beginning and end of each of 2 infection episodes. Extracted total DNA was sequenced by: (1) whole genome amplification followed by shotgun sequencing (WGA) and (2) high-throughput sequencing of the 16S rRNA V4 region (16S). Taxonomic assignments of sequences from WGA and 16S were compared with one another and with conventional microbiological cultures. While classification of bacteria was consistent among the 3 approaches, WGA provided additional insights into sample microbiological composition, such as showing relative abundances of microbial versus human DNA, identifying samples of questionable quality, and detecting significant viral load in some samples. One sample yielded sufficient non-human reads to allow assembly of a high-quality Staphylococcus epidermidis genome, denoted CLIMB1, which we characterized in terms of its MLST profile, gene complement (including putative antimicrobial resistance genes), and similarity to other annotated S. epidermidis genomes. Our results demonstrate that WGA directly applied to CSF is a valuable tool for the identification and genomic characterization of dominant microorganisms in CSF shunt infections, which can facilitate molecular approaches for the development of better diagnostic and treatment methods.
Collapse
Affiliation(s)
- Paul Hodor
- Seattle Children's Hospital, Seattle, WA, United States
| | - Christopher E Pope
- Department of Pediatrics, University of Washington, Seattle, WA, United States
| | | | - Lucas R Hoffman
- Seattle Children's Hospital, Seattle, WA, United States.,Department of Pediatrics, University of Washington, Seattle, WA, United States
| | - David L Limbrick
- Department of Neurosurgery, Washington University in St. Louis, St. Louis, MO, United States
| | - Patrick J McDonald
- Division of Neurosurgery, University of British Columbia, Vancouver, BC, Canada
| | - Jason S Hauptman
- Seattle Children's Hospital, Seattle, WA, United States.,Department of Pediatrics, University of Washington, Seattle, WA, United States
| | - Jeffrey G Ojemann
- Seattle Children's Hospital, Seattle, WA, United States.,Department of Pediatrics, University of Washington, Seattle, WA, United States
| | - Tamara D Simon
- Children's Hospital Los Angeles, Los Angeles, CA, United States.,Department of Pediatrics, Keck School of Medicine at the University of Southern California, Los Angeles, CA, United States
| |
Collapse
|
10
|
Zhang XJ, Zheng JY, Li X, Liang YJ, Zhang ZD. Usefulness of metagenomic next-generation sequencing in adenovirus 7-induced acute respiratory distress syndrome: A case report. World J Clin Cases 2021; 9:6067-6072. [PMID: 34368328 PMCID: PMC8316940 DOI: 10.12998/wjcc.v9.i21.6067] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 04/26/2021] [Accepted: 05/07/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Direct metagenomic next-generation sequencing (mNGS) of clinical samples is an effective method for the molecular diagnosis of infection. However, its role in the diagnosis of patients with acute respiratory distress syndrome (ARDS) of an unknown infectious etiology remains unclear.
CASE SUMMARY A 33-year-old man was admitted to our center for a cough and febrile sensation. Shortly after admission, the patient was diagnosed with ARDS and treated in the intensive care unit. Subsequently, chest computed tomography features suggested an infection. mNGS was performed and the results were indicative of an infection caused by adenovirus type 7. The patient recovered after receiving appropriate treatment.
CONCLUSION mNGS is a promising tool for the diagnosis of ARDS caused by infectious agents. However, further studies are required to develop strategies for incorporating mNGS into the current diagnostic process for the disease.
Collapse
Affiliation(s)
- Xiao-Juan Zhang
- Department of Intensive Care Unit, The First Affiliated Hospital of China Medical University, Shenyang 110001, Liaoning Province, China
| | - Jia-Yin Zheng
- Department of Intensive Care Unit, The First Affiliated Hospital of China Medical University, Shenyang 110001, Liaoning Province, China
| | - Xin Li
- Department of Infectious Disease, The First Affiliated Hospital of China Medical University, Shenyang 110001, Liaoning Province, China
| | - Ying-Jian Liang
- Department of Intensive Care Unit, The First Affiliated Hospital of China Medical University, Shenyang 110001, Liaoning Province, China
| | - Zhi-Dan Zhang
- Department of Infectious Disease, The First Affiliated Hospital of China Medical University, Shenyang 110001, Liaoning Province, China
| |
Collapse
|