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Hayes MG, Langille MGI, Gu H. Cross-study analyses of microbial abundance using generalized common factor methods. BMC Bioinformatics 2023; 24:380. [PMID: 37807043 PMCID: PMC10561484 DOI: 10.1186/s12859-023-05509-4] [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: 03/28/2023] [Accepted: 10/02/2023] [Indexed: 10/10/2023] Open
Abstract
BACKGROUND By creating networks of biochemical pathways, communities of micro-organisms are able to modulate the properties of their environment and even the metabolic processes within their hosts. Next-generation high-throughput sequencing has led to a new frontier in microbial ecology, promising the ability to leverage the microbiome to make crucial advancements in the environmental and biomedical sciences. However, this is challenging, as genomic data are high-dimensional, sparse, and noisy. Much of this noise reflects the exact conditions under which sequencing took place, and is so significant that it limits consensus-based validation of study results. RESULTS We propose an ensemble approach for cross-study exploratory analyses of microbial abundance data in which we first estimate the variance-covariance matrix of the underlying abundances from each dataset on the log scale assuming Poisson sampling, and subsequently model these covariances jointly so as to find a shared low-dimensional subspace of the feature space. CONCLUSIONS By viewing the projection of the latent true abundances onto this common structure, the variation is pared down to that which is shared among all datasets, and is likely to reflect more generalizable biological signal than can be inferred from individual datasets. We investigate several ways of achieving this, demonstrate that they work well on simulated and real metagenomic data in terms of signal retention and interpretability, and recommend a particular implementation.
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Affiliation(s)
- Molly G Hayes
- Department of Mathematics and Statistics, Dalhousie University, Halifax, NS, Canada
| | - Morgan G I Langille
- Department of Microbiology and Immunology, Dalhousie University, Halifax, NS, Canada
- Department of Pharmacology, Dalhousie University, Halifax, NS, Canada
| | - Hong Gu
- Department of Mathematics and Statistics, Dalhousie University, Halifax, NS, Canada.
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2
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Bier N, Hanson B, Jiang ZD, DuPont HL, Arias CA, Miller WR. A Case of Successful Treatment of Recurrent Urinary Tract Infection by Extended-Spectrum β-Lactamase Producing Klebsiella pneumoniae Using Oral Lyophilized Fecal Microbiota Transplant. Microb Drug Resist 2023; 29:34-38. [PMID: 36576900 PMCID: PMC9885536 DOI: 10.1089/mdr.2022.0031] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
Recurrent urinary tract infections (UTIs) are a challenging clinical entity that can be frustrating for patient and physician alike. Repeated rounds of antibiotics can select for multidrug-resistant organisms, further complicating care. We describe the successful use of fecal microbiota transplantation (FMT) for the treatment of recurrent extended-spectrum β-lactamase (ESBL)-producing Klebsiella pneumoniae UTIs in a patient with an ileal conduit and urostomy. In the 18 months after FMT, the patient had not experienced new infections with ESBL-producing organisms. The urine and stool microbiomes of the patient were tracked before and post-FMT using 16s RNA sequencing with measurement of α-diversity. Sequencing of the recipient microbiota did not mirror the donor stool taxa at either site, but an increase in the relative proportion of the genus Bacteroides as compared with Prevotella was noted in the stool post-transplant. FMTs may be a promising treatment option for recurrent multidrug-resistant infections.
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Affiliation(s)
- Naomi Bier
- Center for Infectious Diseases, University of Texas Health Science Center, School of Public Health, Houston, Texas, USA
- Center for Antimicrobial Resistance and Microbial Genomics, McGovern Medical School, Houston, Texas, USA
| | - Blake Hanson
- Center for Infectious Diseases, University of Texas Health Science Center, School of Public Health, Houston, Texas, USA
- Center for Antimicrobial Resistance and Microbial Genomics, McGovern Medical School, Houston, Texas, USA
| | - Zhi-Dong Jiang
- Center for Infectious Diseases, University of Texas Health Science Center, School of Public Health, Houston, Texas, USA
| | - Herbert L. DuPont
- Center for Infectious Diseases, University of Texas Health Science Center, School of Public Health, Houston, Texas, USA
| | - Cesar A. Arias
- Division of Infectious Diseases, Department of Internal Medicine, Houston Methodist Hospital, Houston, Texas, USA
- Center for Infectious Diseases Research, Houston Methodist Research Institute, Houston, Texas, USA
- Molecular Genetics and Antimicrobial Resistance Unit, Universidad El Bosque, Bogota, Colombia
| | - William R. Miller
- Division of Infectious Diseases, Department of Internal Medicine, Houston Methodist Hospital, Houston, Texas, USA
- Center for Infectious Diseases Research, Houston Methodist Research Institute, Houston, Texas, USA
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3
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Sandybayev N, Beloussov V, Strochkov V, Solomadin M, Granica J, Yegorov S. Next Generation Sequencing Approaches to Characterize the Respiratory Tract Virome. Microorganisms 2022; 10:microorganisms10122327. [PMID: 36557580 PMCID: PMC9785614 DOI: 10.3390/microorganisms10122327] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 11/17/2022] [Accepted: 11/21/2022] [Indexed: 11/25/2022] Open
Abstract
The COVID-19 pandemic and heightened perception of the risk of emerging viral infections have boosted the efforts to better understand the virome or complete repertoire of viruses in health and disease, with a focus on infectious respiratory diseases. Next-generation sequencing (NGS) is widely used to study microorganisms, allowing the elucidation of bacteria and viruses inhabiting different body systems and identifying new pathogens. However, NGS studies suffer from a lack of standardization, in particular, due to various methodological approaches and no single format for processing the results. Here, we review the main methodological approaches and key stages for studies of the human virome, with an emphasis on virome changes during acute respiratory viral infection, with applications for clinical diagnostics and epidemiologic analyses.
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Affiliation(s)
- Nurlan Sandybayev
- Kazakhstan-Japan Innovation Center, Kazakh National Agrarian Research University, Almaty 050010, Kazakhstan
- Correspondence: ; Tel.: +7-778312-2058
| | - Vyacheslav Beloussov
- Kazakhstan-Japan Innovation Center, Kazakh National Agrarian Research University, Almaty 050010, Kazakhstan
- Molecular Genetics Laboratory TreeGene, Almaty 050009, Kazakhstan
| | - Vitaliy Strochkov
- Kazakhstan-Japan Innovation Center, Kazakh National Agrarian Research University, Almaty 050010, Kazakhstan
| | - Maxim Solomadin
- School of Pharmacy, Karaganda Medical University, Karaganda 100000, Kazakhstan
| | - Joanna Granica
- Molecular Genetics Laboratory TreeGene, Almaty 050009, Kazakhstan
| | - Sergey Yegorov
- Michael G. DeGroote Institute for Infectious Disease Research, Faculty of Health Sciences, McMaster University, Hamilton, ON L8S 4LB, Canada
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4
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Fitzpatrick AH, Rupnik A, O'Shea H, Crispie F, Keaveney S, Cotter P. High Throughput Sequencing for the Detection and Characterization of RNA Viruses. Front Microbiol 2021; 12:621719. [PMID: 33692767 PMCID: PMC7938315 DOI: 10.3389/fmicb.2021.621719] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 01/20/2021] [Indexed: 12/12/2022] Open
Abstract
This review aims to assess and recommend approaches for targeted and agnostic High Throughput Sequencing of RNA viruses in a variety of sample matrices. HTS also referred to as deep sequencing, next generation sequencing and third generation sequencing; has much to offer to the field of environmental virology as its increased sequencing depth circumvents issues with cloning environmental isolates for Sanger sequencing. That said however, it is important to consider the challenges and biases that method choice can impart to sequencing results. Here, methodology choices from RNA extraction, reverse transcription to library preparation are compared based on their impact on the detection or characterization of RNA viruses.
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Affiliation(s)
- Amy H. Fitzpatrick
- Food Biosciences, Teagasc Food Research Centre, Fermoy, Ireland
- Shellfish Microbiology, Marine Institute, Oranmore, Ireland
- Biological Sciences, Munster Technological University, Cork, Ireland
| | | | - Helen O'Shea
- Biological Sciences, Munster Technological University, Cork, Ireland
| | - Fiona Crispie
- Food Biosciences, Teagasc Food Research Centre, Fermoy, Ireland
| | | | - Paul Cotter
- Food Biosciences, Teagasc Food Research Centre, Fermoy, Ireland
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5
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Sabatier M, Bal A, Destras G, Regue H, Quéromès G, Cheynet V, Lina B, Bardel C, Brengel-Pesce K, Navratil V, Josset L. Comparison of Nucleic Acid Extraction Methods for a Viral Metagenomics Analysis of Respiratory Viruses. Microorganisms 2020; 8:E1539. [PMID: 33036303 PMCID: PMC7601816 DOI: 10.3390/microorganisms8101539] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 10/03/2020] [Accepted: 10/05/2020] [Indexed: 12/25/2022] Open
Abstract
Viral metagenomics next-generation sequencing (mNGS) is increasingly being used to characterize the human virome. The impact of viral nucleic extraction on virome profiling has been poorly studied. Here, we aimed to compare the sensitivity and sample and reagent contamination of three extraction methods used for viral mNGS: two automated platforms (eMAG; MagNA Pure 24, MP24) and the manual QIAamp Viral RNA Mini Kit (QIAamp). Clinical respiratory samples (positive for Respiratory Syncytial Virus or Herpes Simplex Virus), one mock sample (including five viruses isolated from respiratory samples), and a no-template control (NTC) were extracted and processed through an mNGS workflow. QIAamp yielded a lower proportion of viral reads for both clinical and mock samples. The sample cross-contamination was higher when using MP24, with up to 36.09% of the viral reads mapping to mock viruses in the NTC (vs. 1.53% and 1.45% for eMAG and QIAamp, respectively). The highest number of viral reads mapping to bacteriophages in the NTC was found with QIAamp, suggesting reagent contamination. Our results highlight the importance of the extraction method choice for accurate virome characterization.
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Affiliation(s)
- Marina Sabatier
- Laboratoire de Virologie, Institut des Agents Infectieux (IAI), Hospices Civils de Lyon, Groupement Hospitalier Nord, F-69004 Lyon, France; (M.S.); (A.B.); (G.D.); (H.R.); (B.L.)
- CIRI, Centre International de Recherche en Infectiologie, Team VirPatH, Univ Lyon, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, F-69007 Lyon, France;
- Centre National de Référence France-Sud des Virus des Infections Respiratoires, Hospices Civils de Lyon, Groupement Hospitalier Nord, F-69004 Lyon, France
| | - Antonin Bal
- Laboratoire de Virologie, Institut des Agents Infectieux (IAI), Hospices Civils de Lyon, Groupement Hospitalier Nord, F-69004 Lyon, France; (M.S.); (A.B.); (G.D.); (H.R.); (B.L.)
- CIRI, Centre International de Recherche en Infectiologie, Team VirPatH, Univ Lyon, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, F-69007 Lyon, France;
- Centre National de Référence France-Sud des Virus des Infections Respiratoires, Hospices Civils de Lyon, Groupement Hospitalier Nord, F-69004 Lyon, France
| | - Grégory Destras
- Laboratoire de Virologie, Institut des Agents Infectieux (IAI), Hospices Civils de Lyon, Groupement Hospitalier Nord, F-69004 Lyon, France; (M.S.); (A.B.); (G.D.); (H.R.); (B.L.)
- CIRI, Centre International de Recherche en Infectiologie, Team VirPatH, Univ Lyon, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, F-69007 Lyon, France;
- Centre National de Référence France-Sud des Virus des Infections Respiratoires, Hospices Civils de Lyon, Groupement Hospitalier Nord, F-69004 Lyon, France
| | - Hadrien Regue
- Laboratoire de Virologie, Institut des Agents Infectieux (IAI), Hospices Civils de Lyon, Groupement Hospitalier Nord, F-69004 Lyon, France; (M.S.); (A.B.); (G.D.); (H.R.); (B.L.)
| | - Grégory Quéromès
- CIRI, Centre International de Recherche en Infectiologie, Team VirPatH, Univ Lyon, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, F-69007 Lyon, France;
| | - Valérie Cheynet
- Laboratoire Commun de Recherche Hospices Civils de Lyon—bioMérieux, Centre Hospitalier Lyon Sud, F-69310 Pierre-Bénite, France; (V.C.); (K.B.-P.)
| | - Bruno Lina
- Laboratoire de Virologie, Institut des Agents Infectieux (IAI), Hospices Civils de Lyon, Groupement Hospitalier Nord, F-69004 Lyon, France; (M.S.); (A.B.); (G.D.); (H.R.); (B.L.)
- CIRI, Centre International de Recherche en Infectiologie, Team VirPatH, Univ Lyon, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, F-69007 Lyon, France;
- Centre National de Référence France-Sud des Virus des Infections Respiratoires, Hospices Civils de Lyon, Groupement Hospitalier Nord, F-69004 Lyon, France
| | - Claire Bardel
- Université Lyon 1, Laboratoire de Biométrie et Biologie Evolutive, CNRS UMR5558, F-69100 Villeurbanne, France;
| | - Karen Brengel-Pesce
- Laboratoire Commun de Recherche Hospices Civils de Lyon—bioMérieux, Centre Hospitalier Lyon Sud, F-69310 Pierre-Bénite, France; (V.C.); (K.B.-P.)
| | - Vincent Navratil
- PRABI, Rhône Alpes Bioinformatics Center, UCBL, Université Claude Bernard Lyon 1, F-69000 Lyon, France;
- European Virus Bioinformatics Center, Leutragraben 1, D-07743 Jena, Germany
| | - Laurence Josset
- Laboratoire de Virologie, Institut des Agents Infectieux (IAI), Hospices Civils de Lyon, Groupement Hospitalier Nord, F-69004 Lyon, France; (M.S.); (A.B.); (G.D.); (H.R.); (B.L.)
- CIRI, Centre International de Recherche en Infectiologie, Team VirPatH, Univ Lyon, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, F-69007 Lyon, France;
- Centre National de Référence France-Sud des Virus des Infections Respiratoires, Hospices Civils de Lyon, Groupement Hospitalier Nord, F-69004 Lyon, France
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6
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Ung L, Bispo PJM, Doan T, Van Gelder RN, Gilmore MS, Lietman T, Margolis TP, Zegans ME, Lee CS, Chodosh J. Clinical metagenomics for infectious corneal ulcers: Rags to riches? Ocul Surf 2020; 18:1-12. [PMID: 31669750 PMCID: PMC9837861 DOI: 10.1016/j.jtos.2019.10.007] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Accepted: 10/21/2019] [Indexed: 01/17/2023]
Abstract
The emergence of clinical metagenomics as an unbiased, hypothesis-free approach to diagnostic testing is set to fundamentally alter the way infectious diseases are detected. Long envisioned as the solution to the limitations of culture-based conventional microbiology, next generation sequencing methods will soon mature, and our attention will inevitably turn to how they can be applied to areas of medicine which need it most urgently. In ophthalmology, the demand for this technology is particularly pressing for the care of infectious corneal ulcers, where current diagnostic tests may fail to identify a causative organism in over half of cases. However, the optimism found in the budding discourse surrounding clinical metagenomics belies the reality that clinicians and scientists will soon be inundated by oppressive volumes of sequencing data, much of which will be foreign and unfamiliar. Therefore, our success in translating clinical metagenomics is likely to hinge on how we make sense of these data, and understanding its implications for the interpretation and implementation of sequencing into routine clinical care. In this consortium-led review, we provide an outline of these data-related issues and how they may be used to inform technical workflows, with the hope that we may edge closer to realizing the potential of clinical metagenomics for this important unmet need.
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Affiliation(s)
- Lawson Ung
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA; Infectious Disease Institute and Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA
| | - Paulo J M Bispo
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA; Infectious Disease Institute and Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA
| | - Thuy Doan
- Francis I. Proctor Foundation, Department of Ophthalmology, University of California, San Francisco, CA, USA
| | | | - Michael S Gilmore
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA; Infectious Disease Institute and Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA
| | - Thomas Lietman
- Francis I. Proctor Foundation, Department of Ophthalmology, University of California, San Francisco, CA, USA
| | - Todd P Margolis
- Department of Ophthalmology and Visual Sciences, Washington University School of Medicine in Saint Louis, Saint Louis, USA
| | - Michael E Zegans
- Department of Surgery (Ophthalmology), and Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Hanover, USA
| | - Cecilia S Lee
- Department of Ophthalmology, University of Washington, Seattle, WA, USA.
| | - James Chodosh
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA; Infectious Disease Institute and Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA.
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7
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Ellis JE, Missan DS, Shabilla M, Moschonas C, Saperstein D, Martinez D, Becker CV, Fry SE. Comparison of the prokaryotic and eukaryotic microbial communities in peripheral blood from amyotrophic lateral sclerosis, multiple sclerosis, and control populations. ACTA ACUST UNITED AC 2019. [DOI: 10.1016/j.humic.2019.100060] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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8
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Insights into the Microbiome of Breast Implants and Periprosthetic Tissue in Breast Implant-Associated Anaplastic Large Cell Lymphoma. Sci Rep 2019; 9:10393. [PMID: 31316085 PMCID: PMC6637124 DOI: 10.1038/s41598-019-46535-8] [Citation(s) in RCA: 66] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Accepted: 07/01/2019] [Indexed: 02/07/2023] Open
Abstract
Though rare, breast implant-associated anaplastic large cell lymphoma (BIA-ALCL), a CD30+ T-cell lymphoma associated with textured breast implants, has adversely impacted our perception of the safety of breast implants. Its etiology unknown, one hypothesis suggests an initiating inflammatory stimulus, possibly infectious, triggers BIA-ALCL. We analyzed microbiota of breast, skin, implant and capsule in BIA-ALCL patients (n = 7), and controls via culturing methods, 16S rRNA microbiome sequencing, and immunohistochemistry. Alpha and beta diversity metrics and relative abundance of Gram-negative bacteria were calculated, and phylogenetic trees constructed. Staphylococcus spp., the most commonly cultured microbes, were identified in both the BIA-ALCL and contralateral control breast. The diversity of bacterial microbiota did not differ significantly between BIA-ALCL and controls for any material analyzed. Further, there were no significant differences in the relative abundance of Gram-negative bacteria between BIA-ALCL and control specimens. Heat maps suggested substantial diversity in the composition of the bacterial microbiota of the skin, breast, implant and capsule between patients with no clear trend to distinguish BIA-ALCL from controls. While we identified no consistent differences between patients with BIA-ALCL-affected and contralateral control breasts, this study provides insights into the composition of the breast microbiota in this population.
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Martí JM. Recentrifuge: Robust comparative analysis and contamination removal for metagenomics. PLoS Comput Biol 2019; 15:e1006967. [PMID: 30958827 PMCID: PMC6472834 DOI: 10.1371/journal.pcbi.1006967] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Revised: 04/18/2019] [Accepted: 03/19/2019] [Indexed: 12/21/2022] Open
Abstract
Metagenomic sequencing is becoming widespread in biomedical and environmental research, and the pace is increasing even more thanks to nanopore sequencing. With a rising number of samples and data per sample, the challenge of efficiently comparing results within a specimen and between specimens arises. Reagents, laboratory, and host related contaminants complicate such analysis. Contamination is particularly critical in low microbial biomass body sites and environments, where it can comprise most of a sample if not all. Recentrifuge implements a robust method for the removal of negative-control and crossover taxa from the rest of samples. With Recentrifuge, researchers can analyze results from taxonomic classifiers using interactive charts with emphasis on the confidence level of the classifications. In addition to contamination-subtracted samples, Recentrifuge provides shared and exclusive taxa per sample, thus enabling robust contamination removal and comparative analysis in environmental and clinical metagenomics. Regarding the first area, Recentrifuge's novel approach has already demonstrated its benefits showing that microbiomes of Arctic and Antarctic solar panels display similar taxonomic profiles. In the clinical field, to confirm Recentrifuge's ability to analyze complex metagenomes, we challenged it with data coming from a metagenomic investigation of RNA in plasma that suffered from critical contamination to the point of preventing any positive conclusion. Recentrifuge provided results that yielded new biological insight into the problem, supporting the growing evidence of a blood microbiota even in healthy individuals, mostly translocated from the gut, the oral cavity, and the genitourinary tract. We also developed a synthetic dataset carefully designed to rate the robust contamination removal algorithm, which demonstrated a significant improvement in specificity while retaining a high sensitivity even in the presence of cross-contaminants. Recentrifuge's official website is www.recentrifuge.org. The data and source code are anonymously and freely available on GitHub and PyPI. The computing code is licensed under the AGPLv3. The Recentrifuge Wiki is the most extensive and continually-updated source of documentation for Recentrifuge, covering installation, use cases, testing, and other useful topics.
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Affiliation(s)
- Jose Manuel Martí
- Institute for Integrative Systems Biology (ISysBio), Valencia, Spain
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10
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Bal A, Pichon M, Picard C, Casalegno JS, Valette M, Schuffenecker I, Billard L, Vallet S, Vilchez G, Cheynet V, Oriol G, Trouillet-Assant S, Gillet Y, Lina B, Brengel-Pesce K, Morfin F, Josset L. Quality control implementation for universal characterization of DNA and RNA viruses in clinical respiratory samples using single metagenomic next-generation sequencing workflow. BMC Infect Dis 2018; 18:537. [PMID: 30373528 PMCID: PMC6206636 DOI: 10.1186/s12879-018-3446-5] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2018] [Accepted: 10/16/2018] [Indexed: 12/20/2022] Open
Abstract
Background In recent years, metagenomic Next-Generation Sequencing (mNGS) has increasingly been used for an accurate assumption-free virological diagnosis. However, the systematic workflow evaluation on clinical respiratory samples and implementation of quality controls (QCs) is still lacking. Methods A total of 3 QCs were implemented and processed through the whole mNGS workflow: a no-template-control to evaluate contamination issues during the process; an internal and an external QC to check the integrity of the reagents, equipment, the presence of inhibitors, and to allow the validation of results for each sample. The workflow was then evaluated on 37 clinical respiratory samples from patients with acute respiratory infections previously tested for a broad panel of viruses using semi-quantitative real-time PCR assays (28 positive samples including 6 multiple viral infections; 9 negative samples). Selected specimens included nasopharyngeal swabs (n = 20), aspirates (n = 10), or sputums (n = 7). Results The optimal spiking level of the internal QC was first determined in order to be sufficiently detected without overconsumption of sequencing reads. According to QC validation criteria, mNGS results were validated for 34/37 selected samples. For valid samples, viral genotypes were accurately determined for 36/36 viruses detected with PCR (viral genome coverage ranged from 0.6 to 100%, median = 67.7%). This mNGS workflow allowed the detection of DNA and RNA viruses up to a semi-quantitative PCR Ct value of 36. The six multiple viral infections involving 2 to 4 viruses were also fully characterized. A strong correlation between results of mNGS and real-time PCR was obtained for each type of viral genome (R2 ranged from 0.72 for linear single-stranded (ss) RNA viruses to 0.98 for linear ssDNA viruses). Conclusions Although the potential of mNGS technology is very promising, further evaluation studies are urgently needed for its routine clinical use within a reasonable timeframe. The approach described herein is crucial to bring standardization and to ensure the quality of the generated sequences in clinical setting. We provide an easy-to-use single protocol successfully evaluated for the characterization of a broad and representative panel of DNA and RNA respiratory viruses in various types of clinical samples. Electronic supplementary material The online version of this article (10.1186/s12879-018-3446-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- A Bal
- Laboratoire de Virologie, Institut des Agents Infectieux, Groupement Hospitalier Nord, Hospices Civils de Lyon, Lyon, France.,Univ Lyon, Université Lyon 1, Faculté de Médecine Lyon Est, CIRI, Inserm U1111 CNRS UMR5308, Virpath, Lyon, France.,Centre National de Reference des virus respiratoires France Sud, Hospices Civils de Lyon, 103 Grande-Rue de la Croix Rousse, 69317, Lyon, France.,Laboratoire Commun de Recherche HCL-bioMerieux, Centre Hospitalier Lyon Sud, Pierre-Bénite, France
| | - M Pichon
- Laboratoire de Virologie, Institut des Agents Infectieux, Groupement Hospitalier Nord, Hospices Civils de Lyon, Lyon, France.,Univ Lyon, Université Lyon 1, Faculté de Médecine Lyon Est, CIRI, Inserm U1111 CNRS UMR5308, Virpath, Lyon, France.,Centre National de Reference des virus respiratoires France Sud, Hospices Civils de Lyon, 103 Grande-Rue de la Croix Rousse, 69317, Lyon, France
| | - C Picard
- Unité de Biologie des Infections Virales Emergentes, Institut Pasteur, Lyon, France.,CIRI Inserm U1111, CNRS 5308, ENS, UCBL, Faculté de Médecine Lyon Est, Université de Lyon, Lyon, France
| | - J S Casalegno
- Laboratoire de Virologie, Institut des Agents Infectieux, Groupement Hospitalier Nord, Hospices Civils de Lyon, Lyon, France.,Univ Lyon, Université Lyon 1, Faculté de Médecine Lyon Est, CIRI, Inserm U1111 CNRS UMR5308, Virpath, Lyon, France.,Centre National de Reference des virus respiratoires France Sud, Hospices Civils de Lyon, 103 Grande-Rue de la Croix Rousse, 69317, Lyon, France
| | - M Valette
- Laboratoire de Virologie, Institut des Agents Infectieux, Groupement Hospitalier Nord, Hospices Civils de Lyon, Lyon, France.,Univ Lyon, Université Lyon 1, Faculté de Médecine Lyon Est, CIRI, Inserm U1111 CNRS UMR5308, Virpath, Lyon, France.,Centre National de Reference des virus respiratoires France Sud, Hospices Civils de Lyon, 103 Grande-Rue de la Croix Rousse, 69317, Lyon, France
| | - I Schuffenecker
- Laboratoire de Virologie, Institut des Agents Infectieux, Groupement Hospitalier Nord, Hospices Civils de Lyon, Lyon, France
| | - L Billard
- INSERM UMR1078 "Génétique, Génomique Fonctionnelle et Biotechnologies", Axe Microbiota, Univ Brest, Brest, France
| | - S Vallet
- INSERM UMR1078 "Génétique, Génomique Fonctionnelle et Biotechnologies", Axe Microbiota, Univ Brest, Brest, France.,Département de Bactériologie-Virologie, Hygiène et Parasitologie-Mycologie, Pôle de Biologie-Pathologie, Centre Hospitalier Régional et Universitaire de Brest, Hôpital de la Cavale Blanche, Brest, France
| | - G Vilchez
- Laboratoire Commun de Recherche HCL-bioMerieux, Centre Hospitalier Lyon Sud, Pierre-Bénite, France
| | - V Cheynet
- Laboratoire Commun de Recherche HCL-bioMerieux, Centre Hospitalier Lyon Sud, Pierre-Bénite, France
| | - G Oriol
- Laboratoire Commun de Recherche HCL-bioMerieux, Centre Hospitalier Lyon Sud, Pierre-Bénite, France
| | - S Trouillet-Assant
- Laboratoire Commun de Recherche HCL-bioMerieux, Centre Hospitalier Lyon Sud, Pierre-Bénite, France
| | - Y Gillet
- Hospices Civils de Lyon, Urgences pédiatriques, Hôpital Femme Mère Enfant, Bron, France
| | - B Lina
- Laboratoire de Virologie, Institut des Agents Infectieux, Groupement Hospitalier Nord, Hospices Civils de Lyon, Lyon, France.,Univ Lyon, Université Lyon 1, Faculté de Médecine Lyon Est, CIRI, Inserm U1111 CNRS UMR5308, Virpath, Lyon, France.,Centre National de Reference des virus respiratoires France Sud, Hospices Civils de Lyon, 103 Grande-Rue de la Croix Rousse, 69317, Lyon, France
| | - K Brengel-Pesce
- Laboratoire Commun de Recherche HCL-bioMerieux, Centre Hospitalier Lyon Sud, Pierre-Bénite, France
| | - F Morfin
- Laboratoire de Virologie, Institut des Agents Infectieux, Groupement Hospitalier Nord, Hospices Civils de Lyon, Lyon, France.,Univ Lyon, Université Lyon 1, Faculté de Médecine Lyon Est, CIRI, Inserm U1111 CNRS UMR5308, Virpath, Lyon, France.,Centre National de Reference des virus respiratoires France Sud, Hospices Civils de Lyon, 103 Grande-Rue de la Croix Rousse, 69317, Lyon, France
| | - L Josset
- Laboratoire de Virologie, Institut des Agents Infectieux, Groupement Hospitalier Nord, Hospices Civils de Lyon, Lyon, France. .,Univ Lyon, Université Lyon 1, Faculté de Médecine Lyon Est, CIRI, Inserm U1111 CNRS UMR5308, Virpath, Lyon, France. .,Centre National de Reference des virus respiratoires France Sud, Hospices Civils de Lyon, 103 Grande-Rue de la Croix Rousse, 69317, Lyon, France.
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11
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Günther OP, Gardy JL, Stafford P, Fluge Ø, Mella O, Tang P, Miller RR, Parker SM, Johnston SA, Patrick DM. Immunosignature Analysis of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS). Mol Neurobiol 2018; 56:4249-4257. [PMID: 30298340 PMCID: PMC6505503 DOI: 10.1007/s12035-018-1354-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2018] [Accepted: 09/14/2018] [Indexed: 12/27/2022]
Abstract
A random-sequence peptide microarray can interrogate serum antibodies in a broad, unbiased fashion to generate disease-specific immunosignatures. This approach has been applied to cancer detection, diagnosis of infections, and interrogation of vaccine response. We hypothesized that there is an immunosignature specific to ME/CFS and that this could aid in the diagnosis. We studied two subject groups meeting the Canadian Consensus Definition of ME/CFS. ME/CFS (n = 25) and matched control (n = 25) sera were obtained from a Canadian study. ME/CFS (n = 25) sera were obtained from phase 1/2 Norwegian trials (NCT01156909). Sera from six healthy controls from the USA were included in the analysis. Canadian cases and controls were tested for a disease immunosignature. By combining results from unsupervised and supervised analyses, a candidate immunosignature with 654 peptides was able to differentiate ME/CFS from controls. The immunosignature was tested and further refined using the Norwegian and USA samples. This resulted in a 256-peptide immunosignature with the ability to separate ME/CFS cases from controls in the international data sets. We were able to identify a 256-peptide signature that separates ME/CFS samples from healthy controls, suggesting that the hit-and-run hypothesis of immune dysfunction merits further investigation. By extending testing of both our signature and one previously reported in the literature to larger cohorts, and further interrogating the specific peptides we and others have identified, we may deepen our understanding of the origins of ME/CFS and work towards a clinically meaningful diagnostic biomarker.
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Affiliation(s)
| | - Jennifer L Gardy
- British Columbia Centre for Disease Control, Vancouver, BC, Canada.,School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | | | - Øystein Fluge
- Department of Oncology and Medical Physics, Haukeland University Hospital, Bergen, Norway
| | - Olav Mella
- Department of Oncology and Medical Physics, Haukeland University Hospital, Bergen, Norway
| | | | - Ruth R Miller
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | - Shoshana M Parker
- Centre for Health Evaluation and Outcome Sciences, St. Paul's Hospital, Vancouver, BC, Canada
| | | | - David M Patrick
- British Columbia Centre for Disease Control, Vancouver, BC, Canada. .,School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada.
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12
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Leigh DM, Lischer HEL, Grossen C, Keller LF. Batch effects in a multiyear sequencing study: False biological trends due to changes in read lengths. Mol Ecol Resour 2018; 18:778-788. [DOI: 10.1111/1755-0998.12779] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2017] [Revised: 02/27/2018] [Accepted: 03/01/2018] [Indexed: 12/11/2022]
Affiliation(s)
- D. M. Leigh
- Department of Evolutionary Biology and Environmental Studies University of Zurich Zurich Switzerland
- Swiss Institute of Bioinformatics Quartier Sorge ‐ Batiment Genopode Lausanne Switzerland
- Department of Biology Queen's University Kingston ON Canada
| | - H. E. L. Lischer
- Department of Evolutionary Biology and Environmental Studies University of Zurich Zurich Switzerland
- Swiss Institute of Bioinformatics Quartier Sorge ‐ Batiment Genopode Lausanne Switzerland
| | - C. Grossen
- Department of Evolutionary Biology and Environmental Studies University of Zurich Zurich Switzerland
| | - L. F. Keller
- Department of Evolutionary Biology and Environmental Studies University of Zurich Zurich Switzerland
- Zoological Museum University of Zurich Zurich Switzerland
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13
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Bouquet J, Gardy JL, Brown S, Pfeil J, Miller RR, Morshed M, Avina-Zubieta A, Shojania K, McCabe M, Parker S, Uyaguari M, Federman S, Tang P, Steiner T, Otterstater M, Holt R, Moore R, Chiu CY, Patrick DM. RNA-Seq Analysis of Gene Expression, Viral Pathogen, and B-Cell/T-Cell Receptor Signatures in Complex Chronic Disease. Clin Infect Dis 2017; 64:476-481. [PMID: 28172519 PMCID: PMC5850034 DOI: 10.1093/cid/ciw767] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2016] [Accepted: 12/27/2016] [Indexed: 01/09/2023] Open
Abstract
Background Chronic fatigue syndrome (CFS) remains poorly understood. Although infections are speculated to trigger the syndrome, a specific infectious agent and underlying pathophysiological mechanism remain elusive. In a previous study, we described similar clinical phenotypes in CFS patients and alternatively diagnosed chronic Lyme syndrome (ADCLS) patients—individuals diagnosed with Lyme disease by testing from private Lyme specialty laboratories but who test negative by reference 2-tiered serologic analysis. Methods Here, we performed blinded RNA-seq analysis of whole blood collected from 25 adults diagnosed with CFS and 13 ADCLS patients, comparing these cases to 25 matched controls and 11 patients with well-controlled systemic lupus erythematosus (SLE). Samples were collected at patient enrollment and not during acute symptom flares. RNA-seq data were used to study host gene expression, B-cell/T-cell receptor profiles (BCR/TCR), and potential viral infections. Results No differentially expressed genes (DEGs) were found to be significant when CFS or ADCLS cases were compared to controls. Forty-two DEGs were found when SLE cases were compared to controls, consistent with activation of interferon signaling pathways associated with SLE disease. BCR/TCR repertoire analysis did not show significant differences between CFS and controls or ADCLS and controls. Finally, viral sequences corresponding to anelloviruses, human pegivirus 1, herpesviruses, and papillomaviruses were detected in RNA-seq data, but proportions were similar (P = .73) across all genus-level taxonomic categories. Conclusions Our observations do not support a theory of transcriptionally mediated immune cell dysregulation in CFS and ADCLS, at least outside of periods of acute symptom flares.
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Affiliation(s)
- Jerome Bouquet
- Department of Laboratory Medicine, University of California, San Francisco, USA
| | - Jennifer L Gardy
- Communicable Disease Prevention and Control Services, British Columbia Centre for Disease Control, Vancouver, BC, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | - Scott Brown
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, 675 West 10th Avenue, Vancouver, BC, Canada
- Genome Science and Technology Program, University of British Columbia, Vancouver, BC, Canada
| | - Jacob Pfeil
- Department of Laboratory Medicine, University of California, San Francisco, USA
| | - Ruth R Miller
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | - Muhammad Morshed
- British Columbia Centre for Disease Control Public Health Laboratory, 655 W 12th Ave., Vancouver, British Columbia, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, 2211 Wesbrook Mall, Vancouver, British Columbia, Canada
| | - Antonio Avina-Zubieta
- Department of Medicine, Division of Rheumatology, University of British Columbia, Vancouver, BC, Canada
| | - Kam Shojania
- Department of Medicine, Division of Rheumatology, University of British Columbia, Vancouver, BC, Canada
| | - Mark McCabe
- Communicable Disease Prevention and Control Services, British Columbia Centre for Disease Control, Vancouver, BC, Canada
| | - Shoshana Parker
- Centre for Health Evaluation Outcome Sciences, Vancouver, Canada
| | - Miguel Uyaguari
- Communicable Disease Prevention and Control Services, British Columbia Centre for Disease Control, Vancouver, BC, Canada
| | - Scot Federman
- Department of Laboratory Medicine, University of California, San Francisco, USA
| | - Patrick Tang
- Department of Pathology, Sidra Medical and Research Centre, Doha, Qatar
| | - Ted Steiner
- Department of Medicine, Division of Infectious Diseases, University of British Columbia, Vancouver, Canada
| | - Michael Otterstater
- Communicable Disease Prevention and Control Services, British Columbia Centre for Disease Control, Vancouver, BC, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | - Rob Holt
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, 675 West 10th Avenue, Vancouver, BC, Canada
| | - Richard Moore
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, 675 West 10th Avenue, Vancouver, BC, Canada
| | - Charles Y Chiu
- Department of Laboratory Medicine, University of California, San Francisco, USA
- Department of Medicine, Division of Infectious Diseases, University of California, San Francisco, USA
| | - David M Patrick
- Communicable Disease Prevention and Control Services, British Columbia Centre for Disease Control, Vancouver, BC, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
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