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Yuan L, Zhu XY, Lai LM, Chen Q, Liu Y, Zhao R. Clinical application and evaluation of metagenomic next-generation sequencing in pathogen detection for suspected central nervous system infections. Sci Rep 2024; 14:16961. [PMID: 39043813 PMCID: PMC11266612 DOI: 10.1038/s41598-024-68034-1] [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: 03/13/2024] [Accepted: 07/18/2024] [Indexed: 07/25/2024] Open
Abstract
Central nervous system Infections (CNSIs) is a disease characterized by complex pathogens, rapid disease progression, high mortality rate and high disability rate. Here, we evaluated the clinical value of metagenomic next generation sequencing (mNGS) in the diagnosis of central nervous system infections and explored the factors affecting the results of mNGS. We conducted a retrospective study to compare mNGS with conventional methods including culture, smear and etc. 111 suspected CNS infectious patients were enrolled in this study, and clinical data were recorded. Chi-square test were used to evaluate independent binomial variables, taking p < 0.05 as statistically significant threshold. Of the 111 enrolled cases, 57.7% (64/111) were diagnosed with central nervous system infections. From these cases, mNGS identified 39.6% (44/111) true-positive cases, 7.2% (8/111) false-positive case, 35.1% (39/111) true-negative cases, and 18.0% (20/111) false-negative cases. The sensitivity and specificity of mNGS were 68.7% (44/64) and 82.9% (39/47), respectively. Compared with culture, mNGS provided a higher pathogen detection rate in CNSIs patients (68.7% (44/64) vs. 26.5% (17/64), p < 0.0001). Compared to conventional methods, positive percent agreement and negative percent agreement was 84.60% (44/52) and 66.1% (39/59) separately. At a species-specific read number (SSRN) ≥ 2, mNGS performance in the diagnosis of definite viral encephalitis and/or meningitis was optimal (area under the curve [AUC] 0.758, 95% confidence interval [CI] 0.663-0.854). In bacterial CNSIs patients with significant CSF abnormalities (CSF WBC > 300*106/L), the positive rate of CSF mNGS is higher. To sum up, conventional microbiologic testing is insufficient to detect all neuroinvasive pathogens, and mNGS exhibited satisfactory diagnostic performance in CNSIs and with an overall detection rate higher than culture (p < 0.0001).
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Affiliation(s)
- Lei Yuan
- Department of Clinical Laboratory, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, People's Republic of China
| | - Xin Yu Zhu
- Department of Clinical Laboratory, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, People's Republic of China
| | - Lan Min Lai
- Department of Clinical Laboratory, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, People's Republic of China
| | - Qiang Chen
- Department of Clinical Laboratory, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, People's Republic of China
| | - Yang Liu
- Department of Clinical Laboratory, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, People's Republic of China
| | - Rui Zhao
- Department of Clinical Laboratory, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, People's Republic of China.
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Zhang T, Li H, Ma S, Cao J, Liao H, Huang Q, Chen W. The newest Oxford Nanopore R10.4.1 full-length 16S rRNA sequencing enables the accurate resolution of species-level microbial community profiling. Appl Environ Microbiol 2023; 89:e0060523. [PMID: 37800969 PMCID: PMC10617388 DOI: 10.1128/aem.00605-23] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 08/04/2023] [Indexed: 10/07/2023] Open
Abstract
The long-read amplicon provides a species-level solution for the community. With the improvement of nanopore flowcells, the accuracy of Oxford Nanopore Technologies (ONT) R10.4.1 has been substantially enhanced, with an average of approximately 99%. To evaluate its effectiveness on amplicons, three types of microbiomes were analyzed by 16S ribosomal RNA (hereinafter referred to as "16S") amplicon sequencing using Novaseq, Pacbio sequel II, and Nanopore PromethION platforms (R9.4.1 and R10.4.1) in the current study. We showed the error rate, recall, precision, and bias index in the mock sample. The error rate of ONT R10.4.1 was greatly reduced, with a better recall in the case of the synthetic community. Meanwhile, in different types of environmental samples, ONT R10.4.1 analysis resulted in a composition similar to Pacbio data. We found that classification tools and databases influence ONT data. Based on these results, we conclude that the ONT R10.4.1 16S amplicon can also be used for application in environmental samples. IMPORTANCE The long-read amplicon supplies the community with a species-level solution. Due to the high error rate of nanopore sequencing early on, it has not been frequently used in 16S studies. Oxford Nanopore Technologies (ONT) introduced the R10.4.1 flowcell with Q20+ reagent to achieve more than 99% accuracy as sequencing technology advanced. However, there has been no published study on the performance of commercial PromethION sequencers with R10.4.1 flowcells on 16S sequencing or on the impact of accuracy improvement on taxonomy (R9.4.1 to R10.4.1) using 16S ONT data. In this study, three types of microbiomes were investigated by 16S ribosomal RNA (rRNA) amplicon sequencing using Novaseq, Pacbio sequel II, and Nanopore PromethION platforms (R9.4.1 and R10.4.1). In the mock sample, we displayed the error rate, recall, precision, and bias index. We observed that the error rate in ONT R10.4.1 is significantly lower, especially when deletions are involved. First and foremost, R10.4.1 and Pacific Bioscience platforms reveal a similar microbiome in environmental samples. This study shows that the R10.4.1 full-length 16S rRNA sequences allow for species identification of environmental microbiota.
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Affiliation(s)
- Tianyuan Zhang
- National Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan, China
- Wuhan Benagen Technology Co., Ltd., Wuhan, China
| | - Hanzhou Li
- Wuhan Benagen Technology Co., Ltd., Wuhan, China
| | - Silin Ma
- National Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
| | - Jian Cao
- Wuhan Benagen Technology Co., Ltd., Wuhan, China
| | - Hao Liao
- National Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
| | - Qiaoyun Huang
- National Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- Hubei Key Laboratory of Soil Environment and Pollution Remediation, Huazhong Agricultural University, Wuhan, China
| | - Wenli Chen
- National Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan, China
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Eriksen HB, Fuursted K, Jensen A, Jensen CS, Nielsen X, Christensen JJ, Shewmaker P, Rebelo AR, Aarestrup FM, Schønning K, Slotved HC. Predicting β-lactam susceptibility from the genome of Streptococcus pneumoniae and other mitis group streptococci. Front Microbiol 2023; 14:1120023. [PMID: 36937294 PMCID: PMC10018206 DOI: 10.3389/fmicb.2023.1120023] [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: 12/09/2022] [Accepted: 02/13/2023] [Indexed: 03/06/2023] Open
Abstract
Introduction For Streptococcus pneumoniae, β-lactam susceptibility can be predicted from the amino acid sequence of the penicillin-binding proteins PBP1a, PBP2b, and PBP2x. The combination of PBP-subtypes provides a PBP-profile, which correlates to a phenotypic minimal inhibitory concentration (MIC). The non-S. pneumoniae Mitis-group streptococci (MGS) have similar PBPs and exchange pbp-alleles with S. pneumoniae. We studied whether a simple BLAST analysis could be used to predict phenotypic susceptibility in Danish S. pneumoniae isolates and in internationally collected MGS. Method Isolates with available WGS and phenotypic susceptibility data were included. For each isolate, the best matching PBP-profile was identified by BLAST analysis. The corresponding MICs for penicillin and ceftriaxone was retrieved. Category agreement (CA), minor-, major-, and very major discrepancy was calculated. Genotypic-phenotypic accuracy was examined with Deming regression. Results Among 88 S. pneumoniae isolates, 55 isolates had a recognized PBP-profile, and CA was 100% for penicillin and 98.2% for ceftriaxone. In 33 S. pneumoniae isolates with a new PBP-profile, CA was 90.9% (penicillin) and 93.8% (ceftriaxone) using the nearest recognized PBP-profile. Applying the S. pneumoniae database to non-S. pneumoniae MGS revealed that none had a recognized PBP-profile. For Streptococcus pseudopneumoniae, CA was 100% for penicillin and ceftriaxone in 19 susceptible isolates. In 33 Streptococcus mitis isolates, CA was 75.8% (penicillin) and 86.2% (ceftriaxone) and in 25 Streptococcus oralis isolates CA was 8% (penicillin) and 100% (ceftriaxone). Conclusion Using a simple BLAST analysis, genotypic susceptibility prediction was accurate in Danish S. pneumoniae isolates, particularly in isolates with recognized PBP-profiles. Susceptibility was poorly predicted in other MGS using the current database.
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Affiliation(s)
- Helle Brander Eriksen
- Department of Clinical Microbiology, Herlev and Gentofte Hospital, Herlev, Denmark
- *Correspondence: Helle Brander Eriksen,
| | - Kurt Fuursted
- Department of Bacteria, Parasites, and Fungi, Statens Serum Institut, Copenhagen, Denmark
| | - Anders Jensen
- Department of Clinical Microbiology, Sygehus Lillebælt, Vejle, Denmark
| | | | - Xiaohui Nielsen
- The Regional Department of Clinical Microbiology, Slagelse, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Jens Jørgen Christensen
- The Regional Department of Clinical Microbiology, Slagelse, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | | | - Ana Rita Rebelo
- Research Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Frank Møller Aarestrup
- Research Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Kristian Schønning
- Department of Clinical Microbiology, Rigshospitalet, Copenhagen, Denmark
| | - Hans-Christian Slotved
- Department of Bacteria, Parasites, and Fungi, Statens Serum Institut, Copenhagen, Denmark
- Hans-Christian Slotved,
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Zhang H, Wang M, Han X, Wang T, Lei Y, Rao Y, Xu P, Wang Y, Gu H. The application of targeted nanopore sequencing for the identification of pathogens and resistance genes in lower respiratory tract infections. Front Microbiol 2022; 13:1065159. [PMID: 36620015 PMCID: PMC9822541 DOI: 10.3389/fmicb.2022.1065159] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 11/28/2022] [Indexed: 12/24/2022] Open
Abstract
Objectives Lower respiratory tract infections (LRTIs) are one of the causes of mortality among infectious diseases. Microbial cultures commonly used in clinical practice are time-consuming, have poor sensitivity to unculturable and polymicrobial patterns, and are inadequate to guide timely and accurate antibiotic therapy. We investigated the feasibility of targeted nanopore sequencing (TNPseq) for the identification of pathogen and antimicrobial resistance (AMR) genes across suspected patients with LRTIs. TNPseq is a novel approach, which was improved based on nanopore sequencing for the identification of bacterial and fungal infections of clinical relevance. Methods This prospective study recruited 146 patients suspected of having LRTIs and with a median age of 61 years. The potential pathogens in these patients were detected by both TNPseq and the traditional culture workups. We compared the performance between the two methods among 146 LRTIs-related specimens. AMR genes were also detected by TNPseq to prompt the proper utilization of antibiotics. Results At least one pathogen was detected in 133 (91.1%) samples by TNPseq, but only 37 (25.3%) samples contained positive isolates among 146 cultured specimens. TNPseq possessed higher sensitivity than the conventional culture method (91.1 vs. 25.3%, P < 0.001) in identifying pathogens. It detected more samples with bacterial infections (P < 0.001) and mixed infections (P < 0.001) compared with the clinical culture tests. The most frequent AMR gene identified by TNPseq was bla TEM (n = 29), followed by bla SHV (n = 4), bla KPC (n = 2), bla CTX-M (n = 2), and mecA (n = 2). Furthermore, TNPseq discovered five possible multi-drug resistance specimens. Conclusion TNPseq is efficient to identify pathogens early, thus assisting physicians to conduct timely and precise treatment for patients with suspected LRTIs.
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Affiliation(s)
- Hongying Zhang
- Department of Pulmonary Medicine, Fuzhou Pulmonary Hospital of Fujian, Fuzhou, China,*Correspondence: Hongying Zhang ✉
| | - Meng Wang
- Institute of Health Education, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Ximei Han
- Department of Pulmonary Medicine, Fuzhou Pulmonary Hospital of Fujian, Fuzhou, China
| | - Ting Wang
- Department of Pulmonary Medicine, Fuzhou Pulmonary Hospital of Fujian, Fuzhou, China
| | - Yanjuan Lei
- Department of Medicine, Zhejiang ShengTing Biotech Co., Ltd., Hangzhou, China
| | - Yu Rao
- Department of Pulmonary Medicine, Fuzhou Pulmonary Hospital of Fujian, Fuzhou, China
| | - Peisong Xu
- Department of Medicine, Zhejiang ShengTing Biotech Co., Ltd., Hangzhou, China
| | - Yunfei Wang
- Department of Medicine, Zhejiang ShengTing Biotech Co., Ltd., Hangzhou, China
| | - Hongcang Gu
- Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China,Graduate School, University of Science and Technology of China, Hefei, China,Hongcang Gu ✉
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5
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Ju Y, Pu M, Sun K, Song G, Geng J. Nanopore Electrochemistry for Pathogen Detection. Chem Asian J 2022; 17:e202200774. [PMID: 36069587 DOI: 10.1002/asia.202200774] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 09/06/2022] [Indexed: 11/05/2022]
Abstract
Pathogen infections have seriously threatened human health, and there is an urgent demand for rapid and efficient pathogen identification to provide instructions in clinical diagnosis and therapeutic intervention. Recently, nanopore technology, a rapidly maturing technology which delivers ultrasensitive sensing and high throughput in real-time and at low cost, has achieved success in pathogen detection. Furthermore, the remarkable development of nanopore sequencing, for example, the MinION sequencer from Oxford Nanopore Technologies (ONT) as a competitive sequencing technology, has facilitated the rapid analysis of disease-related microbiomes at the whole-genome level and on a large scale. Here, we highlighted recent advances in nanopore approaches for pathogen detection at the single-molecule level. We also overviewed the applications of nanopore sequencing in pathogenic bacteria identification and diagnosis. In the end, we discussed the challenges and future developments of nanopore technology as promising tools for the management of infections, which may be helpful to aid understanding as well as decision-making.
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Affiliation(s)
- Yuan Ju
- Sichuan University, Sichuan University Library, CHINA
| | - Mengjun Pu
- Sichuan University, Department of Laboratory Medicine, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University and Collaborative Innovation Center, CHINA
| | - Ke Sun
- Sichuan University, Department of Laboratory Medicine, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University and Collaborative Innovation Center, CHINA
| | - Guiqin Song
- North Sichuan Medical College [Search North Sichuan Medical College]: North Sichuan Medical University, Shool of Basic Medical Sciences and Forensic Medicine, CHINA
| | - Jia Geng
- Sichuan University, State Key Laboratory of Biotherapy, No 17 Section 3 of South Renmin Rd, 610040, Chengdu, CHINA
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6
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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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Bouchiat C, Ginevra C, Benito Y, Gaillard T, Salord H, Dauwalder O, Laurent F, Vandenesch F. Improving the Diagnosis of Bacterial Infections: Evaluation of 16S rRNA Nanopore Metagenomics in Culture-Negative Samples. Front Microbiol 2022; 13:943441. [PMID: 35910644 PMCID: PMC9329087 DOI: 10.3389/fmicb.2022.943441] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 06/17/2022] [Indexed: 11/29/2022] Open
Abstract
While 16S rRNA PCR-Sanger sequencing has paved the way for the diagnosis of culture-negative bacterial infections, it does not provide the composition of polymicrobial infections. We aimed to evaluate the performance of the Nanopore-based 16S rRNA metagenomic approach, using both partial and full-length amplification of the gene, and to explore its feasibility and suitability as a routine diagnostic tool for bacterial infections in a clinical laboratory. Thirty-one culture-negative clinical samples from mono- and polymicrobial infections based on Sanger-sequencing results were sequenced on MinION using both the in-house partial amplification and the Nanopore dedicated kit for the full-length amplification of the 16S rRNA gene. Contamination, background noise definition, bacterial identification, and time-effectiveness issues were addressed. Cost optimization was also investigated with the miniaturized version of the flow cell (Flongle). The partial 16S approach had a greater sensitivity compared to the full-length kit that detected bacterial DNA in only 24/31 (77.4%) samples. Setting a threshold of 1% of total reads overcame the background noise issue and eased the interpretation of clinical samples. Results were obtained within 1 day, discriminated polymicrobial samples, and gave accurate bacterial identifications compared to Sanger-based results. We also found that multiplexing and using Flongle flow cells was a cost-effective option. The results confirm that Nanopore technology is user-friendly as well as cost- and time-effective. They also indicate that 16S rRNA targeted metagenomics is a suitable approach to be implemented for the routine diagnosis of culture-negative samples in clinical laboratories.
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Affiliation(s)
- Coralie Bouchiat
- Laboratoire de Bactériologie, Institut des Agents Infectieux, Biologie Moléculaire, Hospices Civils de Lyon, Lyon, France
- Equipe Inserm U1111, Centre International de Recherche en Infectiologie, Université de Lyon, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, Lyon, France
- *Correspondence: Coralie Bouchiat
| | - Christophe Ginevra
- Centre National de Référence des Légionelles, Institut des Agents Infectieux, Hospices Civils de Lyon, Lyon, France
| | - Yvonne Benito
- Laboratoire de Bactériologie, Institut des Agents Infectieux, Biologie Moléculaire, Hospices Civils de Lyon, Lyon, France
| | - Tiphaine Gaillard
- Laboratoire de Bactériologie, Institut des Agents Infectieux, Biologie Moléculaire, Hospices Civils de Lyon, Lyon, France
- Laboratoire de biologie médicale, Hôpital d'Instruction des Armées Desgenettes, Service de Santé des Armées, Lyon, France
| | - Hélène Salord
- Laboratoire de Bactériologie, Institut des Agents Infectieux, Biologie Moléculaire, Hospices Civils de Lyon, Lyon, France
| | - Olivier Dauwalder
- Laboratoire de Bactériologie, Institut des Agents Infectieux, Biologie Moléculaire, Hospices Civils de Lyon, Lyon, France
| | - Frédéric Laurent
- Laboratoire de Bactériologie, Institut des Agents Infectieux, Biologie Moléculaire, Hospices Civils de Lyon, Lyon, France
- Equipe Inserm U1111, Centre International de Recherche en Infectiologie, Université de Lyon, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, Lyon, France
| | - François Vandenesch
- Laboratoire de Bactériologie, Institut des Agents Infectieux, Biologie Moléculaire, Hospices Civils de Lyon, Lyon, France
- Equipe Inserm U1111, Centre International de Recherche en Infectiologie, Université de Lyon, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, Lyon, France
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8
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Jang Y, Kim S, Kim N, Son H, Ha EJ, Koh EJ, Phi JH, Park C, Kim JE, Kim S, Lee SK, Cho W, Moon J, Chu K. Nanopore
16S
sequencing enhances the detection of bacterial meningitis after neurosurgery. Ann Clin Transl Neurol 2022; 9:312-325. [PMID: 35124895 PMCID: PMC8935320 DOI: 10.1002/acn3.51517] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 01/10/2022] [Accepted: 01/25/2022] [Indexed: 12/19/2022] Open
Abstract
Objective Nosocomial bacterial meningitis is one of the major complications after neurosurgery. We performed nanopore 16S amplicon sequencing from cerebrospinal fluid (CSF) to evaluate bacterial meningitis in patients who underwent neurosurgery. Methods Among the patients who visited the neurosurgery department of Seoul National University Hospital between July 2017 and June 2020, those with clinically suspected bacterial meningitis were included. 16S rDNA PCR was performed from the CSF, and nanopore sequencing was performed for up to 3 h. The reads were aligned to the BLAST database. In each case, the culture and the 16S rRNA gene amplicon analysis were simultaneously performed and compared with each other, and we retrospectively reviewed the medical records. Genuine infection was determined by the identical results between conventional culture study and the sequencing, or clinically determined in cases with inconsistent results between the two methods. Results Of the 285 samples obtained from 178 patients who had 16S rDNA PCR, 41 samples (14.4%) were diagnosed with genuine infection. A total of 56.1% (23/41) of the samples with genuine infection showed a false‐negative culture test. In particular, 16S amplicon sequencing was useful in evaluating patients at the initial tests who had infection with intraventricular hemorrhage (Culture false‐negative rate = 100%), subarachnoid hemorrhage (Culture false‐negative rate = 77.8%), and systemic cancer (Culture false‐negative rate = 100%), which are risk factors for central fever. Moreover, 16S amplicon sequencing could suggest the possibility of persistent bacterial meningitis in empirical antibiotic use. Conclusion CSF nanopore 16S sequencing was more effective than conventional CSF culture studies in postoperative bacterial meningitis and may contribute to evidence‐based decisions for antibiotic maintenance and discontinuation.
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Affiliation(s)
- Yoonhyuk Jang
- Department of Neurology Seoul National University College of Medicine Seoul National University Hospital Seoul South Korea
| | - Seondeuk Kim
- Department of Neurology Seoul National University College of Medicine Seoul National University Hospital Seoul South Korea
| | - Narae Kim
- Department of Neurology Seoul National University College of Medicine Seoul National University Hospital Seoul South Korea
| | - Hyoshin Son
- Department of Neurosurgery Seoul National University College of Medicine, Seoul National University Hospital Seoul South Korea
| | - Eun Jin Ha
- Department of Neurosurgery Seoul National University College of Medicine, Seoul National University Hospital Seoul South Korea
| | - Eun Jung Koh
- Department of Neurosurgery Seoul National University College of Medicine, Seoul National University Hospital Seoul South Korea
- Division of Pediatric Neurosurgery Seoul National University Children's Hospital Seoul South Korea
| | - Ji Hoon Phi
- Department of Neurosurgery Seoul National University College of Medicine, Seoul National University Hospital Seoul South Korea
- Division of Pediatric Neurosurgery Seoul National University Children's Hospital Seoul South Korea
| | - Chul‐Kee Park
- Department of Neurosurgery Seoul National University College of Medicine, Seoul National University Hospital Seoul South Korea
| | - Jeong Eun Kim
- Department of Neurosurgery Seoul National University College of Medicine, Seoul National University Hospital Seoul South Korea
| | - Seung‐Ki Kim
- Department of Neurosurgery Seoul National University College of Medicine, Seoul National University Hospital Seoul South Korea
- Division of Pediatric Neurosurgery Seoul National University Children's Hospital Seoul South Korea
| | - Sang Kun Lee
- Department of Neurology Seoul National University College of Medicine Seoul National University Hospital Seoul South Korea
| | - Won‐Sang Cho
- Department of Neurosurgery Seoul National University College of Medicine, Seoul National University Hospital Seoul South Korea
| | - Jangsup Moon
- Department of Neurology Seoul National University College of Medicine Seoul National University Hospital Seoul South Korea
- Department of Genomic Medicine Seoul National University Hospital Seoul South Korea
| | - Kon Chu
- Department of Neurology Seoul National University College of Medicine Seoul National University Hospital Seoul South Korea
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9
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Jin K, Wang X, Qin L, Jia Y, Zhou K, Jiang Y, Zhang M, Zhang T, Zhang M, Ma W, Jia L, Teng Y, Dai S, Li W. Nanopore sequencing of cerebrospinal fluid of three patients with cryptococcal meningitis. Eur J Med Res 2022; 27:1. [PMID: 34980252 PMCID: PMC8722347 DOI: 10.1186/s40001-021-00625-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Accepted: 12/23/2021] [Indexed: 11/10/2022] Open
Abstract
Background Cryptococcal meningitis (CM) has a high morbidity and mortality due to the low detection of Cryptococcus in cerebrospinal fluid (CSF) during the early stage of the disease with traditional methods. Case presentation In addition to the traditional methods of India ink staining and cryptococcal antigen (CrAg), we used nanopore sequencing and next-generation sequencing (NGS) to detect pathogenic DNA in CSF samples of three patients with CM. The CSF samples of all three patients were positive by India ink staining and CrAg. NGS also detected Cryptococcus in all three CSF samples. Nanopore sequencing detected Cryptococcus in two CSF samples. Conclusion Nanopore sequencing may be useful in assisting with the clinical diagnosis of CM. Further research is needed to determine the sensitivity and specificity of nanopore sequencing of CSF.
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Affiliation(s)
- Ke Jin
- Department of Neurology, Zhengzhou University People's Hospital, 7 Weiwu road, Zhengzhou, Henan Province, China
| | - Xiaojuan Wang
- Department of Neurology, Zhengzhou University People's Hospital, 7 Weiwu road, Zhengzhou, Henan Province, China
| | - Lingzhi Qin
- Department of Neurology, Zhengzhou University People's Hospital, 7 Weiwu road, Zhengzhou, Henan Province, China
| | - Yazhen Jia
- Department of Neurology, Zhengzhou University People's Hospital, 7 Weiwu road, Zhengzhou, Henan Province, China
| | - Keke Zhou
- Department of Neurology, Zhengzhou University People's Hospital, 7 Weiwu road, Zhengzhou, Henan Province, China
| | - Yusu Jiang
- Department of Neurology, Zhengzhou University People's Hospital, 7 Weiwu road, Zhengzhou, Henan Province, China
| | - Milan Zhang
- Department of Neurology, Zhengzhou University People's Hospital, 7 Weiwu road, Zhengzhou, Henan Province, China
| | - Tao Zhang
- Department of Neurology, Zhengzhou University People's Hospital, 7 Weiwu road, Zhengzhou, Henan Province, China
| | - Mengge Zhang
- Department of Neurology, Zhengzhou University People's Hospital, 7 Weiwu road, Zhengzhou, Henan Province, China
| | - Weifeng Ma
- Department of Neurology, Zhengzhou University People's Hospital, 7 Weiwu road, Zhengzhou, Henan Province, China
| | - Lin Jia
- Department of Neurology, Zhengzhou University People's Hospital, 7 Weiwu road, Zhengzhou, Henan Province, China
| | - Yongshi Teng
- Department of Neurology, Zhengzhou University People's Hospital, 7 Weiwu road, Zhengzhou, Henan Province, China
| | - Shuhua Dai
- Department of Neurology, Zhengzhou University People's Hospital, 7 Weiwu road, Zhengzhou, Henan Province, China
| | - Wei Li
- Department of Neurology, Zhengzhou University People's Hospital, 7 Weiwu road, Zhengzhou, Henan Province, China.
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10
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Kwambana-Adams BA, Cohen AL, Hampton L, Nhantumbo AA, Heyderman RS, Antonio M, Bita A, Mwenda JM. Toward Establishing Integrated, Comprehensive, and Sustainable Meningitis Surveillance in Africa to Better Inform Vaccination Strategies. J Infect Dis 2021; 224:S299-S306. [PMID: 34469559 PMCID: PMC8409533 DOI: 10.1093/infdis/jiab268] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Large populations across sub-Saharan Africa remain at risk of devastating acute bacterial meningitis epidemics and endemic disease. Meningitis surveillance is a cornerstone of disease control, essential for describing temporal changes in disease epidemiology, the rapid detection of outbreaks, guiding vaccine introduction and monitoring vaccine impact. However, meningitis surveillance in most African countries is weak, undermined by parallel surveillance systems with little to no synergy and limited laboratory capacity. African countries need to implement comprehensive meningitis surveillance systems to adapt to the rapidly changing disease trends and vaccine landscapes. The World Health Organization and partners have developed a new investment case to restructure vaccine-preventable disease surveillance. With this new structure, countries will establish comprehensive and sustainable meningitis surveillance systems integrated with greater harmonization between population-based and sentinel surveillance systems. There will also be stronger linkage with existing surveillance systems for vaccine-preventable diseases, such as polio, measles, yellow fever, and rotavirus, as well as with other epidemic-prone diseases to leverage their infrastructure, transport systems, equipment, human resources and funding. The implementation of these concepts is currently being piloted in a few countries in sub-Saharan Africa with support from the World Health Organization and other partners. African countries need to take urgent action to improve synergies and coordination between different surveillance systems to set joint priorities that will inform action to control devastating acute bacterial meningitis effectively.
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Affiliation(s)
- Brenda Anna Kwambana-Adams
- NIHR Global Health Research Unit on Mucosal Pathogens, Division of Infection and Immunity, University College London, London, United Kingdom.,World Health Organization Collaborating Centre for New Vaccines Surveillance, Medical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, Fajara, Banjul, The Gambia
| | - Adam L Cohen
- Division of Global Health Protection, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Lee Hampton
- Gavi, The Vaccine Alliance, Global Health Campus, Geneva, Switzerland
| | - Aquino Albino Nhantumbo
- Laboratório Nacional de Referência de Microbiologia, Instituto Nacional de Saúde, Ministério da Saúde, Maputo, Mozambique
| | - Robert S Heyderman
- NIHR Global Health Research Unit on Mucosal Pathogens, Division of Infection and Immunity, University College London, London, United Kingdom
| | - Martin Antonio
- World Health Organization Collaborating Centre for New Vaccines Surveillance, Medical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, Fajara, Banjul, The Gambia.,Centre for Epidemic Preparedness and Response, London School of Hygiene and Tropical Medicine, London, United Kingdom.,Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Andre Bita
- World Health Organization Regional Office for Africa, Brazzaville, Republic of Congo
| | - Jason Mathiu Mwenda
- World Health Organization Regional Office for Africa, Brazzaville, Republic of Congo
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11
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Development and evaluation of a nanopore 16S rRNA gene sequencing service for same day targeted treatment of bacterial respiratory infection in the intensive care unit. J Infect 2021; 83:167-174. [PMID: 34146598 DOI: 10.1016/j.jinf.2021.06.014] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 05/17/2021] [Accepted: 06/09/2021] [Indexed: 01/16/2023]
Abstract
OBJECTIVES Assess the feasibility and impact of nanopore-based 16S rRNA gene sequencing (Np16S) service on antibiotic treatment for acute severe pneumonia on the intensive care unit (ICU). METHODS Speciation and sequencing accuracy of Np16S on isolates with bioinformatics pipeline optimisation, followed by technical evaluation including quality checks and clinical-reporting criteria analysing stored respiratory samples using single-sample flow cells. Pilot service comparing Np16S results with all routine respiratory tests and impact on same-day antimicrobial prescribing. RESULTS Np16S correctly identified 140/167 (84%) isolates after 1h sequencing and passed quality control criteria including reproducibility and limit-of-detection. Sequencing of 108 stored respiratory samples showed concordance with routine culture in 80.5% of cases and established technical and clinical reporting criteria. A 10-week same-day pilot Np16S service analysed 45 samples from 37 patients with suspected community (n=15) or hospital acquired (n=30) pneumonia. Np16S showed concordance compared with all routine culture or molecular tests for 27 (82%) of 33 positive samples. It identified the causative pathogen in 32/33 (97%) samples and contributed to antimicrobial treatment changes for 30 patients (67%). CONCLUSIONS This study demonstrates feasibility of providing a routine same-day nanopore sequencing service that makes a significant contribution to early antibiotic prescribing for bacterial pneumonia in the ICU.
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12
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Jun KI, Oh BL, Kim N, Shin JY, Moon J. Microbial diagnosis of endophthalmitis using nanopore amplicon sequencing. Int J Med Microbiol 2021; 311:151505. [PMID: 33930723 DOI: 10.1016/j.ijmm.2021.151505] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 03/11/2021] [Accepted: 04/15/2021] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVES We investigated whether nanopore amplicon sequencing of aqueous humor was capable of rapid pathogen identification in infectious endophthalmitis. METHODS 5 cases of culture-positive bacterial endophthalmitis and 3 cases of fungal endophthalmitis (1 culture-positive and 2 presumed) were included. DNA was extracted from the aqueous humor and vitreous specimen, and PCR of bacterial rDNA (16S) and fungal rDNA (ITS1 and D1/2/3) was performed. Then, nanopore amplicon sequencing was performed for 2 h. The results of amplicon sequencing were compared to those of conventional culture studies. RESULTS In all cases, pathogens were identified by amplicon sequencing of aqueous humor specimens. In 3 cases of bacterial endophthalmitis, the identified microbes were confirmed by culture studies of both aqueous humor and vitreous specimens. In 2 cases of bacterial and 1 case of fungal endophthalmitis, the identified pathogens were confirmed only by culture studies of vitreous specimens. In all cases, amplicon sequencing identified pathogen in a shorter turnaround time than culture studies. In 2 cases with negative culture results, amplicon sequencing of aqueous humor identified fungal pathogens. CONCLUSIONS Our data demonstrates the potential of amplicon nanopore sequencing using aqueous humor to enable rapid, sensitive and less invasive microbial diagnosis of endophthalmitis.
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Affiliation(s)
- Kang Il Jun
- Division of Infectious Disease, Department of Internal Medicine, Ewha Womans University Seoul Hospital, Seoul, South Korea
| | - Baek-Lok Oh
- Department of Ophthalmology, Seoul National University Hospital, Seoul, South Korea
| | - Narae Kim
- Department of Neurology, Seoul National University Hospital, Seoul, South Korea
| | - Joo Young Shin
- Department of Ophthalmology, Seoul National University College of Medicine, SMG-SNU Boramae Medical Center, Seoul, South Korea.
| | - Jangsup Moon
- Department of Neurology, Seoul National University Hospital, Seoul, South Korea; Department of Genomic Medicine, Seoul National University Hospital, Seoul, South Korea.
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13
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Kerkhof LJ. Is Oxford Nanopore sequencing ready for analyzing complex microbiomes? FEMS Microbiol Ecol 2021; 97:6098400. [PMID: 33444433 PMCID: PMC8068755 DOI: 10.1093/femsec/fiab001] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Accepted: 01/11/2021] [Indexed: 12/12/2022] Open
Abstract
This minireview will discuss the improvements in Oxford Nanopore (Oxford; sequencing technology that make the MinION a viable platform for microbial ecology studies. Specific issues being addressed are the increase in sequence accuracy from 65 to 96.5% during the last 5 years, the ability to obtain a quantifiable/predictive signal from the MinION with respect to target molecule abundance, simple-to-use GUI-based pathways for data analysis and the modest additional equipment needs for sequencing in the field. Coupling these recent improvements with the low capital costs for equipment and the reasonable per sample cost makes MinION sequencing an attractive option for virtually any laboratory.
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Affiliation(s)
- Lee J Kerkhof
- Department of Marine and Coastal Sciences, Rutgers, the State University of New Jersey, New Brunswick, NJ 08901, USA
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14
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Tsamis KI, Sakkas H, Giannakis A, Ryu HS, Gartzonika C, Nikas IP. Evaluating Infectious, Neoplastic, Immunological, and Degenerative Diseases of the Central Nervous System with Cerebrospinal Fluid-Based Next-Generation Sequencing. Mol Diagn Ther 2021; 25:207-229. [PMID: 33646562 PMCID: PMC7917176 DOI: 10.1007/s40291-021-00513-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/07/2021] [Indexed: 12/24/2022]
Abstract
Cerebrospinal fluid (CSF) is a clear and paucicellular fluid that circulates within the ventricular system and the subarachnoid space of the central nervous system (CNS), and diverse CNS disorders can impact its composition, volume, and flow. As conventional CSF testing suffers from suboptimal sensitivity, this review aimed to evaluate the role of next-generation sequencing (NGS) in the work-up of infectious, neoplastic, neuroimmunological, and neurodegenerative CNS diseases. Metagenomic NGS showed improved sensitivity—compared to traditional methods—to detect bacterial, viral, parasitic, and fungal infections, while the overall performance was maximized in some studies when all diagnostic modalities were used. In patients with primary CNS cancer, NGS findings in the CSF were largely concordant with the molecular signatures derived from tissue-based molecular analysis; of interest, additional mutations were identified in the CSF in some glioma studies, reflecting intratumoral heterogeneity. In patients with metastasis to the CNS, NGS facilitated diagnosis, prognosis, therapeutic management, and monitoring, exhibiting higher sensitivity than neuroimaging, cytology, and plasma-based molecular analysis. Although evidence is still rudimentary, NGS could enhance the diagnosis and pathogenetic understanding of multiple sclerosis in addition to Alzheimer and Parkinson disease. To conclude, NGS has shown potential to aid the research, facilitate the diagnostic approach, and improve the management outcomes of all the aforementioned CNS diseases. However, to establish its role in clinical practice, the clinical validity and utility of each NGS protocol should be determined. Lastly, as most evidence has been derived from small and retrospective studies, results from randomized control trials could be of significant value.
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Affiliation(s)
- Konstantinos I Tsamis
- Department of Neurology, University Hospital of Ioannina, 45500, Ioannina, Greece. .,School of Medicine, European University Cyprus, 2404, Nicosia, Cyprus.
| | - Hercules Sakkas
- Microbiology Department, Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110, Ioannina, Greece
| | - Alexandros Giannakis
- Department of Neurology, University Hospital of Ioannina, 45500, Ioannina, Greece
| | - Han Suk Ryu
- Department of Pathology, Seoul National University Hospital, Seoul, 03080, Korea
| | - Constantina Gartzonika
- Microbiology Department, Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110, Ioannina, Greece
| | - Ilias P Nikas
- School of Medicine, European University Cyprus, 2404, Nicosia, Cyprus
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