Clinical metagenomics
Open accessAbstract
Clinical metagenomic next-generation sequencing (mNGS), the comprehensive analysis of microbial and host genetic material (DNA and RNA) in samples from patients, is rapidly moving from research to clinical laboratories. This emerging approach is changing how physicians diagnose and treat infectious disease, with applications spanning a wide range of areas, including antimicrobial resistance, the microbiome, human host gene expression (transcriptomics) and oncology. Here, we focus on the challenges of implementing mNGS in the clinical laboratory and address potential solutions for maximizing its impact on patient care and public health. Clinical metagenomic next-generation sequencing (mNGS) is rapidly moving from bench to bedside. This Review discusses the clinical applications of mNGS, including infectious disease diagnostics, microbiome analyses, host response analyses and oncology applications. Moreover, the authors review the challenges that need to be overcome for mNGS to be successfully implemented in the clinical laboratory and propose solutions to maximize the benefits of clinical mNGS for patients.
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- Findingcitation
In a published research study, mNGS-based detection of Ebola and chikungunya virus infections on a nanopore sequencer was possible in <10 minutes of sequencing time and <6 hours of sample-to-answer turnaround time overall.
“In a published research study126, mNGS-based detection of Ebola and chikungunya virus infections on a nanopore sequencer was possible in <10 minutes of sequencing time and in <6 hours of sample-to-answer turnaround time overall.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [126] Greninger, A. et al. Rapid metagenomic identification of viral pathogens in clinical samples by real-time nanopore sequencing analysis. Genome Med. 7, 99 (2015). source
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- Premisecitation
mNGS can identify many pathogens-viruses, bacteria, fungi, and parasites-from culture or directly from clinical samples using unique DNA or RNA sequences.
“mNGS enables a broad range of pathogens — viruses, bacteria, fungi and/or parasites — to be identified from culture or directly from clinical samples on the basis of uniquely identifiable DNA and/or RNA sequences32.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [32] Lefterova, M. I., Suarez, C. J., Banaei, N. & Pinsky, B. A. Next-generation sequencing for infectious disease diagnosis and management: a report of the association for molecular pathology. J. Mol. Diagn. 17, 623–634 (2015). source
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- Interpretationreasoning
Clinical diagnostic uses of metagenomics have trailed research advances because of several factors.
“Despite the potential and recent successes of metagenomics, clinical diagnostic applications have lagged behind research advances owing to a number of factors.”
Quote in the paperSubstantial claim- Rests on an assumption: For clinical metagenomic tests, there are no universal reference materials or established ways to show validation, reproducibility, and quality assurance.
- Rests on an assumption: Whether a microorganism found in a sample is a contaminant, colonizer, or genuine pathogen is frequently uncertain.
- Premisecitation
NGS was used to diagnose neuroleptospirosis in a critically ill 14-year-old boy with meningoencephalitis.
“NGS was used for the clinical diagnosis of neuroleptospirosis in a 14-year-old critically ill boy with meningoencephalitis19”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [19] Wilson, M. R. et al. Actionable diagnosis of neuroleptospirosis by next-generation sequencing. N. Engl. J. Med. 370, 2408–2417 (2014). This case report describes the first use of clinical metagenomics for actionable diagnosis and treatment in a critically ill patient with a mysterious neurological infection. source
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- Interpretationreasoning
NGS diagnosis may be most useful in difficult-to-diagnose cases or immunocompromised patients, who have a broader range of potential pathogens.
“Thus, the clinical utility of NGS in diagnosis may be in the most difficult-to-diagnose cases or for immunocompromised patients, in whom the spectrum of potential pathogens is greater.”
Quote in the paperSubstantial claim
- Premisenone given
mNGS reads from pure bacterial or fungal cultures can be assembled into genomes that are partial or complete.
“With pure cultures of bacteria or fungi, mNGS reads can be assembled into partial or complete genomes.”
Quote in the paperNot a substantial claim - Premisecitation
Faecal stool transplantation is 80-90% effective at treating and potentially curing C. difficile infection.
“The importance of the microbiome in C. difficile infection is underscored by the 80–90% effectiveness of faecal stool transplantation in treating and potentially curing the disease62,63.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [62] Shogbesan, O. et al. A Systematic review of the efficacy and safety of fecal microbiota transplant for Clostridium difficile infection in immunocompromised patients. Can. J. Gastroenterol. Hepatol. 2018, 1394379 (2018). source
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- cites [63] van Nood, E. et al. Duodenal infusion of donor feces for recurrent Clostridium difficile. N. Engl. J. Med. 368, 407–415 (2013). This paper demonstrates the therapeutic potential of manipulating the microbiome with donor faecal transplantation to treat refractory C. difficile disease. source
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- Premisecitation
RNA-seq expression profiling has characterized infections such as staphylococcal bacteraemia, Lyme disease, candidiasis, TB, and influenza.
“Classification of genes by expression profiling using RNA-seq has been used to characterize several infections, including staphylococcal bacteraemia67, Lyme disease68, candidiasis69, tuberculosis (discriminating between latent and active disease risk)70–72 and influenza73–75.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [67] Ahn, S. et al. Gene expression-based classifiers identify Staphylococcus aureus infection in mice and humans. PLOS ONE 8, e48979 (2013). source
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- cites [68] Bouquet, J. et al. Longitudinal transcriptome analysis reveals a sustained differential gene expression signature in patients treated for acute Lyme disease. mBio 7, e00100–00116 (2016). source
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- cites [69] Zaas, A., Aziz, H., Lucas, J., Perfect, J. & Ginsburg, G. Blood gene expression signatures predict invasive candidiasis. Sci. Transl Med. 2, 21ra17 (2010). source
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- Premisecitation
mNGS of RNA libraries for pathogen detection incidentally yields host gene expression data for transcriptome analysis.
“mNGS of RNA libraries used for the detection of pathogens such as RNA viruses in clinical samples incidentally produces host gene expression data for transcriptome (RNA-seq) analyses66.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [66] Wang, Z., Gerstein, M. & Snyder, M. RNA-Seq: a revolutionary tool for transcriptomics. Nat. Rev. Genet. 10, 57–63 (2009). This Review provides an overview of RNA-seq for transcriptomics and its applications. source
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- Premisecitation
Diagnostic assays using small host biomarker panels are in development for influenza, TB, and bacterial sepsis.
“Panels containing a limited number of host biomarkers are being developed as diagnostic assays for influenza77, tuberculosis70 and bacterial sepsis78.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [77] McClain, M. et al. A Genomic signature of influenza infection shows potential for presymptomatic detection, guiding early therapy, and monitoring clinical responses. Open Forum Infect. Dis 3, ofw007 (2016). source
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- cites [70] Anderson, S. et al. Diagnosis of childhood tuberculosis and host RNA expression in Africa. N. Engl. J. Med. 370, 1712–1723 (2014). source
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- cites [78] Sweeney, T., Wong, H. & Khatri, P. Robust classification of bacterial and viral infections via integrated host gene expression diagnostics. Sci. Transl Med. 8, 346ra391 (2016). source
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- Premisecitation
Defining microbial profiles that diagnose or predict disease can be difficult, especially from nonsterile sites with complex microbiomes.
“Moreover, defining specific microbial profiles that are diagnostic or predictive of disease development can be difficult, especially from nonsterile sites that harbour a complex microbiome, such as respiratory secretions or stool6.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [6] Pallen, M. J. Diagnostic metagenomics: potential applications to bacterial, viral and parasitic infections. Parasitology 141, 1856–1862 (2014). source
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- Premisecitation
A seminal study used whole-genome sequencing of multidrug-resistant, carbapenemase-producing Klebsiella pneumoniae to trace the origin and evolution of a hospital outbreak.
“For example, a seminal study described the use of whole-genome sequencing of multidrug-resistant, carbapenemase-producing Klebsiella pneumoniae to track the origin and evolution of a hospital outbreak55.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [55] Snitkin, E. et al. Tracking a hospital outbreak of carbapenem-resistant Klebsiella pneumoniae with whole-genome sequencing. Sci. Transl Med. 4, 148ra116 (2012). This study is the first to demonstrate the potential of whole-genome bacterial sequencing using NGS to track transmission of a hospital outbreak of carbapenem-resistant K. pneumoniae. source
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- Premisecitation
C. difficile infection occurs only when the microbiome has been altered by factors such as broad-spectrum antibiotics or recent gastrointestinal surgery.
“C. difficile infection occurs only in the setting of a microbiome that is altered by factors such as exposure to broad-spectrum antibiotics or recent gastrointestinal surgery61.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [61] Samarkos, M., Mastrogianni, E. & Kampouropoulou, O. The role of gut microbiota in Clostridium difficile infection. Eur. J. Intern. Med. 50, 28–32 (2018). source
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- Premisecitation
RNA-seq of the human host can reveal new or underappreciated host-microbial interactions directly from clinical samples, as shown in Lyme disease, dengue, and malaria.
“Moreover, RNA-seq analyses of the human host can be used to identify novel or underappreciated host–microbial interactions directly from clinical samples, as previously shown for patients with Lyme disease68, dengue80 or malaria81.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [68] Bouquet, J. et al. Longitudinal transcriptome analysis reveals a sustained differential gene expression signature in patients treated for acute Lyme disease. mBio 7, e00100–00116 (2016). source
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- cites [80] Banerjee, A. et al. RNA-seq analysis of peripheral blood mononuclear cells reveals unique transcriptional signatures associated with disease progression in dengue patients. Transl Res. 186, 62–78 (2017). source
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- cites [81] Lee, H. J. et al. Integrated pathogen load and dual transcriptome analysis of systemic host-pathogen interactions in severe malaria. Sci. Transl Med. 10, eaar3619 (2018). source
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- Interpretationreasoning
Combining genomic and epidemiological data produced actionable insights that could have helped curb transmission.
“The integration of genomic and epidemiological data yielded actionable insights that would have been useful for curbing transmission.”
Quote in the paperSubstantial claim - Premisecitation
A study of mNGS for respiratory pathogens in pneumonia found that culture-proven infection was associated with significantly lower respiratory microbiome diversity.
“For example, a study of mNGS for the identification of respiratory pathogens in patients with pneumonia found that individuals with culture-proven infection had significantly less diversity in their respiratory microbiome25.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [25] Langelier, C. et al. Integrating host response and unbiased microbe detection for lower respiratory tract infection diagnosis in critically ill adults. Proc. Natl Acad. Sci. USA 115, E12353–E12362 (2018). This study integrates microbial metagenomic and host response NGS data to improve accuracy in diagnosing lower respiratory tract infections. source
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- Premisecitation
Many researchers now use mNGS rather than targeted 16S rRNA gene sequencing for detailed microbiome characterization.
“Many researchers now use mNGS instead of targeted sequencing of the 16S rRNA gene for in-depth characterization of the microbiome59.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [59] Jovel, J. et al. Characterization of the gut microbiome using 16S or shotgun metagenomics. Front. Microbiol. 7, 459 (2016). source
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- Premisereasoning
Multiple studies using mNGS for microbiome characterization have aided development of bacterial probiotic mixtures to prevent or treat C. difficile-associated disease.
“The use of mNGS to characterize the microbiome in multiple studies has facilitated the development of bacterial probiotic mixtures that can be administered as pills for prophylaxis or treatment of C. difficile-associated disease (Fig. 1B).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Fig. 1B
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- Interpretationreasoning
For comprehensive diagnosis of infections, untargeted mNGS of clinical samples may be the most promising method.
“Untargeted mNGS of clinical samples is perhaps the most promising approach for the comprehensive diagnosis of infections.”
Quote in the paperSubstantial claim - Premisecitation
A single mNGS assay can in principle detect almost every pathogen type-viruses, bacteria, fungi, and parasites.
“In principle, nearly all pathogens, including viruses, bacteria, fungi and parasites, can be identified in a single assay56.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [56] Naccache, S. et al. A cloud-compatible bioinformatics pipeline for ultrarapid pathogen identification from next-generation sequencing of clinical samples. Genome Res. 24, 1180–1192 (2014). This paper describes the sequence-based ultrarapid pathogen identification metagenomic analysis pipeline for use in infectious disease diagnostics. source
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- Premisecitation
Primers tiled across a genome can enable PCR amplification and amplicon NGS to recover viral genomes directly from clinical samples.
“Another example of a targeted NGS approach is the design of primers tiled across the genome to facilitate PCR amplification and amplicon NGS for recovery of viral genomes directly from clinical samples43.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [43] Quick, J. et al. Multiplex PCR method for MinION and Illumina sequencing of Zika and other virus genomes directly from clinical samples. Nat. Protoc. 12, 1261–1276 (2017). source
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- Premisecitation
Pathogen loads in some infections can be very low (<10^3 copies per ml), e.g., Shigella flexneri in stool and ZIKV in plasma.
“The background can be clinically relevant as the pathogen load in infections, such as Shigella flexneri in stool from patients with diarrhoea92 or ZIKV in plasma from patients with vector-borne febrile illness93, can be very low (<103 copies per ml).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [92] DuPont, H. L., Levine, M. M., Hornick, R. B. & Formal, S. B. Inoculum size in shigellosis and implications for expected mode of transmission. J. Infect. Dis. 159, 1126–1128 (1989). source
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- cites [93] Corman, V. M. et al. Assay optimization for molecular detection of Zika virus. Bull. World Health Organ. 94, 880–892 (2016). source
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- Interpretationnone given
Custom mixtures of microorganisms or their nucleic acids can be developed as external controls to establish limits of detection for mNGS testing.
“Custom mixtures consisting of a pool of microorganisms (mock microbial communities) or their nucleic acids can be developed as external controls to establish limits of detection for mNGS testing.”
Quote in the paperNot a substantial claim - Interpretationnone given
There are no comparably effective parallel methods for DNA libraries.
“Unfortunately, there are no comparably effective parallel methods for DNA libraries.”
Quote in the paperNot a substantial claim - Interpretationcitation
Propidium monoazide treatment to select for DNA from live organisms may not be clinically useful as an enrichment method for mNGS.
“The importance of retaining the ability for cell-free DNA detection from culture-negative samples from dead organisms is also why incorporation of a propidium monoazide treatment step to select for DNA from live organisms may not be clinically useful as an enrichment method for mNGS102.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [102] Li, R. et al. Comparison of DNA-, PMA-, and RNA-based 16S rRNA Illumina sequencing for detection of live bacteria in water. Sci. Rep. 7, 5752 (2017). source
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- Interpretationnone given
Even miniscule amounts of exogenous DNA or RNA introduced during sample collection, aliquoting, extraction, library prep or pooling can yield detectable signal from contaminating reads.
“Even miniscule amounts of exogenous DNA or RNA introduced during sample collection, aliquoting, nucleic acid extraction, library preparation or pooling can yield a detectable signal from contaminating reads.”
Quote in the paperNot a substantial claim - Premisecitation
Differential lysis of human cells followed by DNase I degradation of background DNA can provide substantial microbial enrichment up to 1,000 times for organisms with cell walls.
“Differential lysis of human cells followed by degradation of background DNA with DNase I — thus retaining and enriching for nucleic acid from organisms with cell walls, which include some bacteria and fungi — has been shown to provide substantial microbial enrichment of up to 1,000 times94,99,100.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [94] Hasan, M. et al. Depletion of human DNA in spiked clinical specimens for improvement of sensitivity of pathogen detection by next-generation sequencing. J. Clin. Microbiol. 54, 919–927 (2016). source
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- cites [99] Charalampous, T. et al. Rapid diagnosis of lower respiratory infection using nanopore-based clinical metagenomics. Preprint at bioRxiv https://doi.org/10.1101/387548 (2018). source
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- cites [100] Thoendel, M. et al. Comparison of microbial DNA enrichment tools for metagenomic whole genome sequencing. J. Microbiol. Methods 127, 141–145 (2016). source
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- Interpretationnone given
A key limitation of mNGS is decreased sensitivity with high background from human host or microbiome.
“A key limitation of mNGS is its decreased sensitivity with high background, either predominantly from the human host (for example, in tissue biopsies) or the microbiome (for example, in stool).”
Quote in the paperSubstantial claim - Interpretationreasoning
These reference materials may not be applicable to untargeted mNGS analyses.
“Thus, these materials may not be applicable to untargeted mNGS analyses.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Metagenomic methods for pathogen detection are particularly challenging for clinical validation because testing an unlimited number of organisms is impractical.
“Metagenomic methods for pathogen detection present a particularly challenging scenario for clinical validation (Fig. 3), as it is not practical to test an essentially unlimited number of different organisms for the assay to be considered validated.”
Quote in the paperSubstantial claim - Premisecitation
One study described potential utility of cfDNA analysis for diagnosing invasive fungal infection when biopsy is not possible.
“One study has described the potential utility of cfDNA analysis in diagnosing invasive fungal infection in cases where biopsy is not possible57.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [57] Hong, D. et al. Liquid biopsy for infectious diseases: sequencing of cell-free plasma to detect pathogen DNA in patients with invasive fungal disease. Diagn. Microbiol. Infect. Dis. 92, 210–213 (2018). source
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- Premisecitation
Most available metagenomic reference materials are highly customized to specific applications and/or focused on limited organism spectra.
“Most available metagenomic reference materials are highly customized to specific applications (for example, ZymoBIOMICS Microbial Community Standard for microbiome analyses and bacterial and fungal metagenomics105) and/or focused on a more limited spectrum of organisms (for example, the National Institute of Standards and Technology (NIST) reference materials for mixed microbial DNA detection, wh”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [105] McIntyre, A. et al. Comprehensive benchmarking and ensemble approaches for metagenomic classifiers. Genome Biol. 18, 182 (2017). source
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- cites [106] Jackson, S. A., Kralj, J. G. & Lin, N. J. Report on the NIST/DHS/FDA workshop: standards for pathogen detection for biosurveillance and clinical applications (National Institute for Standards and Technology, 2018). source
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- Interpretationreasoning
mNGS analysis complexity requires highly trained personnel and extreme care in sample handling to avoid errors and cross-contamination.
“The complexity of mNGS analysis requires highly trained personnel and extreme care in sample handling to avoid errors and cross-contamination.”
Quote in the paperNot a substantial claim - Premisecitation
Antibodies against methylated human host DNA can achieve limited enrichment (3-5 times) by enriching microbial reads due to lack of methylated DNA in most pathogen genomes.
“Limited enrichment in the 3–5 times range can be achieved with the use of antibodies against methylated human host DNA98, which enriches microbial reads owing to the lack of methylated DNA in most pathogen genomes.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [98] Feehery, G. et al. A method for selectively enriching microbial DNA from contaminating vertebrate host DNA. PLOS ONE 8, e76096 (2013). source
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- Interpretationreasoning
cfDNA analysis has higher sensitivity for metagenomic sequencing due to less human cellular background.
“Another advantage to cfDNA analysis is the higher sensitivity of metagenomic sequencing owing to less cellular background from the human host.”
Quote in the paperSubstantial claim - Premisecitation
In NGS, liquid biopsies from cfDNA in body fluids are of great interest for identifying chromosomal or other genetic mutations to diagnose malignancies in presymptomatic phase.
“In the next-generation sequencing (NGS) field, there is great interest in the use of liquid biopsies from cell-free DNA (cfDNA) extracted from body fluids, such as plasma, to identify chromosomal or other genetic mutations and thus diagnose malignancies in the presymptomatic phase123.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [123] Babayan, A. & Pantel, K. Advances in liquid biopsy approaches for early detection and monitoring of cancer. Genome Med. 10, 21 (2018). source
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- Interpretationnone given
Lack of universally accepted reference standards for mNGS makes it difficult to compare assay performances between different laboratories.
“Nonetheless, the lack of universally accepted reference standards for mNGS makes it difficult to compare assay performances between different laboratories.”
Quote in the paperSubstantial claim - Premisecitation
A hybrid enrichment method using metagenomic sequencing with spiked primers combines targeted and untargeted sequencing with panels of 100-10,000 short primers to enrich specific target organisms while retaining breadth for off-target organisms.
“Combining targeted with untargeted sequencing, the method uses variably sized panels (100–10,000) of short primers that are added (‘spiked’) into reaction mixtures to enrich for specific target organisms while retaining the breadth of metagenomic sequencing for off-target organisms.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [46] Thézé, J. et al. Genomic epidemiology reconstructs the introduction and spread of Zika virus in central America and Mexico. Cell Host Microbe 23, 855–864 (2018). This study introduces the use of the metagenomic sequencing with spiked primer enrichment technique for simultaneous targeted and untargeted pathogen detection and genome assembly. source
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- Premisecitation
A database of background microorganisms commonly detected in mNGS data from normal flora or laboratory contamination typically needs to be maintained for accurate mNGS analyses.
“A database of background microorganisms commonly detected in mNGS data and arising from normal flora or laboratory contamination101,104 typically needs to be maintained for accurate mNGS analyses.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [101] Salter, S. et al. Reagent and laboratory contamination can critically impact sequence-based microbiome analyses. BMC Biol. 12, 87 (2014). source
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- cites [104] Strong, M. et al. Microbial contamination in next generation sequencing: implications for sequence-based analysis of clinical samples. PLOS Pathog. 10, e1004437 (2014). source
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- Premisereasoning
Customized bioinformatics pipelines for clinical mNGS data still require highly trained programming staff to develop, validate and maintain for clinical use.
“Thus, customized bioinformatics pipelines for analysis of clinical mNGS data56,109–111 still require highly trained programming staff to develop, validate and maintain the pipeline for clinical use.”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [56] Naccache, S. et al. A cloud-compatible bioinformatics pipeline for ultrarapid pathogen identification from next-generation sequencing of clinical samples. Genome Res. 24, 1180–1192 (2014). This paper describes the sequence-based ultrarapid pathogen identification metagenomic analysis pipeline for use in infectious disease diagnostics. source
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- cites [109] Flygare, S. et al. Taxonomer: an interactive metagenomics analysis portal for universal pathogen detection and host mRNA expression profiling. Genome Biol. 17, 111 (2016). source
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- cites [110] Kim, D., Song, L., Breitwieser, F. & Salzberg, S. Centrifuge: rapid and sensitive classification of metagenomic sequences. Genome Res. 26, 1721–1729 (2016). source
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- cites [111] Wood, D. & Salzberg, S. Kraken: ultrafast metagenomic sequence classification using exact alignments. Genome Biol. 15, R46 (2014). source
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- Interpretationreasoning
Nanopore sequencing is particularly applicable to mNGS approaches because time is of the essence when treating patients with acute infectious diseases.
“As such, it is particularly applicable to metagenomic NGS (mNGS) approaches because time is of the essence when treating patients with acute infectious diseases.”
Quote in the paperSubstantial claim - Premisereasoning
Although sequence data generation costs have dropped substantially, overall per-sample reagent cost for sequencing remains fairly high.
“Although there have been substantial cost reductions in the generation of sequence data, the overall per-sample reagent cost for sequencing remains fairly high.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Formidable challenges remain when implementing mNGS for routine patient care.
“Nonetheless, formidable challenges remain when implementing mNGS for routine patient care.”
Quote in the paperSubstantial claim - Premisecitation
On the nanopore platform, it has been shown that pathogen reads can be selectively sequenced by stopping human read sequencing early, once those reads are recognized in real time.
“Importantly, selective sequencing of pathogen reads has been demonstrated on the nanopore platform by early termination of the sequencing of the human reads as they are identified in real time133.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [133] Loose, M., Malla, S. & Stout, M. Real-time selective sequencing using nanopore technology. Nat. Methods 13, 751–754 (2016). source
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- Premisecitation
Performance validation and verification for bioinformatics analysis is time-consuming and includes analysis of control and patient data sets and comparisons with orthogonal clinical testing to determine accuracy of final result.
“Performance validation and verification for bioinformatics analysis constitute a time-consuming endeavour and include analysis of control and patient data sets and comparisons, with orthogonal clinical testing to determine the accuracy of the final result36.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [36] Miller, S. et al. Laboratory validation of a clinical metagenomic sequencing assay for pathogen detection in cerebrospinal fluid. Preprint at bioRxiv https://doi.org/10.1101/330381 (2019). This paper describes the clinical validation of an mNGS assay for diagnosis of meningitis and encephalitis from cerebrospinal fluid. source
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- Premisecitation
Customized data sets can be prepared to mimic input sequence data and expand range of microorganisms detected through in silico analysis.
“Customized data sets can be prepared to mimic input sequence data and expand the range of microorganisms detected through in silico analysis37.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [37] Schlaberg, R. et al. Validation of metagenomic next-generation sequencing tests for universal pathogen detection. Arch. Pathol. Lab Med. 141, 776–786 (2017). This paper summarizes the clinical validation of two mNGS assays for neurological infections and pneumonia. source
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- Classified as probably not a substantial claim. 41
May combine two claims.
FindingcitationWhen spiked at reverse transcription, a panel of ZIKV-specific primers increased ZIKV reads more than tenfold without appreciably decreasing broad metagenomic sensitivity for other pathogens, enabling whole-genome viral sequencing to characterize ZIKV spread from Brazil into Central America and Mexico.
“When spiked at the reverse transcription step, a panel of ZIKV-specific primers was found to increase the number of ZIKV reads by more than tenfold without appreciably decreasing broad metagenomic sensitivity for other pathogens, enabling whole-genome viral sequencing to characterize ZIKV spread from Brazil into Central America and Mexico46.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [46] Thézé, J. et al. Genomic epidemiology reconstructs the introduction and spread of Zika virus in central America and Mexico. Cell Host Microbe 23, 855–864 (2018). This study introduces the use of the metagenomic sequencing with spiked primer enrichment technique for simultaneous targeted and untargeted pathogen detection and genome assembly. source
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May combine two claims.
Premisenone givenAlmost all current conventional microbiological tests detect only one or a small panel of pathogens, or they require successful culture.
“However, nearly all conventional microbiological tests in current use detect only one or a limited panel of pathogens at a time or require that a microorganism be successfully cultured from a clinical sample.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
InterpretationreasoningmNGS is altering how clinicians diagnose and manage infectious diseases.
“This emerging approach is changing how physicians diagnose and treat infectious disease, with applications spanning a wide range of areas, including antimicrobial resistance, the microbiome, human host gene expression (transcriptomics) and oncology.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone givenmNGS is applied in areas such as drug resistance, microbial communities, host transcriptomics, and cancer.
“This emerging approach is changing how physicians diagnose and treat infectious disease, with applications spanning a wide range of areas, including antimicrobial resistance, the microbiome, human host gene expression (transcriptomics) and oncology.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningmNGS can drive precision diagnosis of infectious diseases and advance personalized patient care.
“Thus, mNGS can be a key driver for precision diagnosis of infectious diseases, advancing precision medicine efforts to personalize patient care in this field.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Premisenone givenWhether a microorganism found in a sample is a contaminant, colonizer, or genuine pathogen is frequently uncertain.
“it is often unclear whether a detected microorganism is a contaminant, colonizer or bona fide pathogen.”
Quote in the paperSubstantial claimMay combine two claims.
PremisereasoningNGS data can be used for analyses beyond pathogen identification, including microbiome characterization and host transcriptome profiling.
“Another key advantage of NGS approaches is that the sequencing data can potentially be leveraged for additional analyses beyond the mere identification of a causative pathogen, such as microbiome characterization and parallel analyses of human host responses through transcriptome profiling by RNA sequencing (RNA-seq).”
Quote in the paperNot a substantial claimMay combine two claims.
Premisenone givenNGS assays are slower than conventional tests; a standard Illumina sequencing run alone takes more than 18 hours.
“while NGS assays in current use cannot compare with conventional tests with respect to speed — the sequencing run alone on a standard Illumina instrument takes >18 hours”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThese applications are broad and potentially useful enough that diagnostic microbiology will probably be transformed in the near future.
“Nonetheless, the breadth and potential clinical utility of these applications are likely to transform the field of diagnostic microbiology in the near future.”
Quote in the paperNot a substantial claim- Rests on an assumption: Most mNGS applications have not yet entered routine clinical practice.
Classified as probably not a substantial claim. May combine two claims.
PremisereasoningMetagenomic methods analyze all DNA or RNA in a sample, allowing examination of the whole microbiome and the human host genome or transcriptome.
“While most molecular assays target only a limited number of pathogens using specific primers or probes, metagenomic approaches characterize all DNA or RNA present in a sample, enabling analysis of the entire microbiome as well as the human host genome or transcriptome in patient samples.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationCost, reimbursement, turnaround time, regulatory issues, and clinical utility remain major barriers to routine clinical mNGS in patient care.
“Considerations of cost, reimbursement, turnaround time, regulatory considerations and, perhaps most importantly, clinical utility also remain major hurdles for the routine implementation of clinical mNGS in patient care settings27.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [27] Greninger, A. The challenge of diagnostic metagenomics. Expert Rev. Mol. Diagn. 18, 605–615 (2018). source
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Premisenone givenClinical metagenomics applications include infectious disease diagnostics across syndromes and sample types, microbiome studies, host response transcriptomics, and detection of tumour-associated viruses and their integration sites.
“To date, applications of clinical metagenomics have included infectious disease diagnostics for a variety of syndromes and sample types, microbiome analyses in both diseased and healthy states, characterization of the human host response to infection by transcriptomics and the identification of tumour-associated viruses and their genomic integration sites (Fig. 1; Table 1).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Fig. 1
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- cites Table 1
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Interpretationnone givenDetecting all potential pathogens and host responses in a sample has high potential utility for diagnosing infectious disease.
“The capacity to detect all potential pathogens — bacteria, viruses, fungi and parasites — in a sample and simultaneously interrogate host responses has great potential utility in the diagnosis of infectious disease.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenClinical metagenomic next-generation sequencing is moving rapidly from research into clinical laboratories.
“Clinical metagenomic next-generation sequencing (mNGS), the comprehensive analysis of microbial and host genetic material (DNA and RNA) in samples from patients, is rapidly moving from research to clinical laboratories.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThat case was the first demonstration that mNGS can provide clinically actionable information, because diagnosis led to targeted antibiotics and recovery.
“this case was the first to demonstrate the utility of metagenomic NGS (mNGS) in providing clinically actionable information, as successful diagnosis prompted appropriate targeted antibiotic treatment and eventual recovery of the patient.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [19] Wilson, M. R. et al. Actionable diagnosis of neuroleptospirosis by next-generation sequencing. N. Engl. J. Med. 370, 2408–2417 (2014). This case report describes the first use of clinical metagenomics for actionable diagnosis and treatment in a critically ill patient with a mysterious neurological infection. source
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InterpretationreasoningDetecting nucleic acids by multiplex PCR or NGS does not prove that the identified microorganism causes the illness; results require clinical interpretation.
“Of course, detection of nucleic acids, either by multiplex PCR panels or NGS, does not by itself prove that an identified microorganism is the cause of the illness, and findings have to be interpreted in the clinical context.”
Quote in the paperSubstantial claimMay combine two claims.
PremisereasoningTargeted NGS can improve sensitivity for the microorganisms targeted but narrows the range of pathogens that can be detected.
“This step can increase the detection sensitivity for microorganisms being targeted, although it limits the breadth of potential pathogens that can be identified.”
Quote in the paperSubstantial claimMay combine two claims.
Premisenone givenTargeted NGS methods increase how many pathogen reads appear in the data and their share of total reads.
“Targeted approaches have the benefit of increasing the number and proportion of pathogen reads in the sequence data.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationmNGS was critical to the discovery of Merkel cell polyomavirus, now believed to cause Merkel cell carcinoma.
“For example, mNGS was critical in the discovery of Merkel cell polyomavirus (Fig. 1d), now believed to be the cause of Merkel cell carcinoma, a rare skin cancer seen most commonly in elderly patients86.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [86] Feng, H., Shuda, M., Chang, Y. & Moore, P. Clonal integration of a polyomavirus in human Merkel cell carcinoma. Science 319, 1096–1100 (2008). This paper describes the discovery of a novel polyomavirus associated with a rare skin cancer using NGS. source
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Premisenone givenRNA-seq is commonly done on whole blood or PBMC samples, but any body fluid or tissue type may be suitable.
“Although RNA-seq analyses are commonly performed on whole blood or peripheral blood mononuclear cell (PBMC) samples, any body fluid or tissue type is potentially amenable to these analyses.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationClinical mNGS usually focuses on microbial reads, but host gene expression analysis has a complementary role in studying infection.
“Clinical mNGS typically focuses on microbial reads; however, there is a complementary role for the analysis of gene expression in studying human host responses to infection65 (Fig. 1c).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [65] Kukurba, K. & Montgomery, S. RNA sequencing and analysis. Cold Spring Harb. Protoc. 2015, 951–969 (2015). source
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PremisereasoningCompared with untargeted approaches, capture probe enrichment has drawbacks: bias toward targeted microorganisms, extra steps, higher costs, and long hybridization times of 24-48 hours.
“However, drawbacks of capture probe enrichment, compared with untargeted approaches for infectious disease diagnosis, include a bias towards targeted microorganisms, added steps, increased costs and long hybridization times (24–48 hours) as a result of the additional processing needed for maximal efficiency.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationMachine-learning analyses of RNA-seq data have classified cancers, and translating these methods may help infectious diseases.
“Machine-learning-based analyses of RNA-seq data have been used for cancer classification76, and translation of these approaches may be promising for infectious diseases.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [76] Zhang, Y. et al. Identifying and analyzing different cancer subtypes using RNA-seq data of blood platelets. Oncotarget 8, 87494–87511 (2017). source
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PremisecitationThat study provided high-resolution mapping of likely transmission events, some unexpected from initial epidemiology, and found putative resistance mutations in emerging resistant strains.
“This study demonstrated for the first time the high-resolution mapping of likely transmission events in a hospital, some of which were unexpected on the basis of initial epidemiological data, and also identified putative resistance mutations in emerging resistant strains.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [55] Snitkin, E. et al. Tracking a hospital outbreak of carbapenem-resistant Klebsiella pneumoniae with whole-genome sequencing. Sci. Transl Med. 4, 148ra116 (2012). This study is the first to demonstrate the potential of whole-genome bacterial sequencing using NGS to track transmission of a hospital outbreak of carbapenem-resistant K. pneumoniae. source
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Premisenone givenmNGS is a needle-in-a-haystack task: typically less than 1% of reads are non-human, and only some of those may be potential pathogens.
“mNGS is a needle-in-a-haystack endeavour, as only a small proportion (typically <1%) of reads are non-human, of which only a subset may correspond to potential pathogens.”
Quote in the paperSubstantial claimMay combine two claims.
Premisenone givenIn research, capture probe enrichment has improved sensitivity for detecting microbes, particularly viruses, but it is not yet used routinely in clinical diagnosis.
“Although this enrichment method has been shown to increase the sensitivity of metagenomic detection in research settings, especially for viruses, it has yet to be used routinely for clinical diagnosis.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisereasoningSuch genomes support subtyping and outbreak monitoring in hospitals for infection control or public health surveillance.
“These genome sequences are then used for subtyping and/or monitoring hospital outbreaks in support of infection control and/or public health surveillance efforts.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationSeveral groups have validated mNGS in CLIA-certified clinical laboratories for diagnosing meningitis or encephalitis, sepsis, and pneumonia, and these assays are now available for clinical reference testing.
“Nevertheless, several groups have successfully validated mNGS in Clinical Laboratory Improvement Amendments (CLIA)-certified clinical laboratories for the diagnosis of infections, including meningitis or encephalitis36,37, sepsis33,57 and pneumonia58, and these assays are now available for clinical reference testing of patients.”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [36] Miller, S. et al. Laboratory validation of a clinical metagenomic sequencing assay for pathogen detection in cerebrospinal fluid. Preprint at bioRxiv https://doi.org/10.1101/330381 (2019). This paper describes the clinical validation of an mNGS assay for diagnosis of meningitis and encephalitis from cerebrospinal fluid. source
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- cites [37] Schlaberg, R. et al. Validation of metagenomic next-generation sequencing tests for universal pathogen detection. Arch. Pathol. Lab Med. 141, 776–786 (2017). This paper summarizes the clinical validation of two mNGS assays for neurological infections and pneumonia. source
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- cites [33] Blauwkamp, T. A. et al. Analytical and clinical validation of a microbial cell-free DNA sequencing test for infectious disease. Nat. Microbiol. https://doi.org/10.1038/s41564-018-0349-6 (2019). This paper describes the analytical and clinical validation of an mNGS assay for sepsis. source
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- cites [57] Hong, D. et al. Liquid biopsy for infectious diseases: sequencing of cell-free plasma to detect pathogen DNA in patients with invasive fungal disease. Diagn. Microbiol. Infect. Dis. 92, 210–213 (2018). source
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- cites [58] Schlaberg, R. et al. Viral pathogen detection by metagenomics and pan-viral group polymerase chain reaction in children with pneumonia lacking identifiable etiology. J. Infect. Dis. 215, 1407–1415 (2017). source
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PremisecitationIn oncology, NGS approaches that identify mutated genes can simultaneously detect cancer-associated viruses (herpesviruses, papillomaviruses, polyomaviruses) and/or gather virus-host interaction data.
“In oncology, whole-genome or directed NGS approaches to identify mutated genes can be used to simultaneously uncover viruses associated with cancer (that is, herpesviruses, papillomaviruses and polyomaviruses) and/or to gather data on virus–host interactions85.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [85] Nakagawa, H. & Fujita, M. Whole genome sequencing analysis for cancer genomics and precision medicine. Cancer Sci. 109, 513–522 (2018). source
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PremisecitationmNGS sensitivity depends critically on background level; tissues have more human host background than cell-free fluids, lowering microbial read counts and mNGS sensitivity.
“A limitation of mNGS is that the sensitivity of the approach is critically dependent on the level of background. Tissues, for example, have increased human host background relative to cell-free body fluids, resulting in a reduced number and proportion of microbial reads and hence a decrease in mNGS sensitivity33,36,37.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [33] Blauwkamp, T. A. et al. Analytical and clinical validation of a microbial cell-free DNA sequencing test for infectious disease. Nat. Microbiol. https://doi.org/10.1038/s41564-018-0349-6 (2019). This paper describes the analytical and clinical validation of an mNGS assay for sepsis. source
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- cites [36] Miller, S. et al. Laboratory validation of a clinical metagenomic sequencing assay for pathogen detection in cerebrospinal fluid. Preprint at bioRxiv https://doi.org/10.1101/330381 (2019). This paper describes the clinical validation of an mNGS assay for diagnosis of meningitis and encephalitis from cerebrospinal fluid. source
Not checked in the free run.
- cites [37] Schlaberg, R. et al. Validation of metagenomic next-generation sequencing tests for universal pathogen detection. Arch. Pathol. Lab Med. 141, 776–786 (2017). This paper summarizes the clinical validation of two mNGS assays for neurological infections and pneumonia. source
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PremisecitationDysbiosis has been linked to obesity, diabetes mellitus, and inflammatory bowel disease, and altering the microbiome may treat these conditions.
“Alterations of the microbiome, known as dysbiosis, have also been shown to be related to obesity, diabetes mellitus and inflammatory bowel disease64, and manipulation of the microbiome may be a pathway to treating these pathological conditions.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [64] Boulangé, C., Neves, A., Chilloux, J., Nicholson, J. & Dumas, M. Impact of the gut microbiota on inflammation, obesity, and metabolic disease. Genome Med. 8, 42 (2016). source
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PremisecitationThis method has tracked Zika virus evolution and spread in the Americas and Ebola virus in West Africa, with some real-time monitoring affecting public health interventions.
“This method has been used to track the evolution and spread of Zika virus (ZIKV) in the Americas44–46 and of Ebola virus in West Africa47, with some demonstrations of real-time monitoring having an impact on public health interventions.”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [44] Faria, N. R. et al. Establishment and cryptic transmission of Zika virus in Brazil and the Americas. Nature 546, 406–410 (2017). source
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- cites [45] Grubaugh, N. et al. Genomic epidemiology reveals multiple introductions of Zika virus into the United States. Nature 546, 401–405 (2017). source
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- cites [46] Thézé, J. et al. Genomic epidemiology reconstructs the introduction and spread of Zika virus in central America and Mexico. Cell Host Microbe 23, 855–864 (2018). This study introduces the use of the metagenomic sequencing with spiked primer enrichment technique for simultaneous targeted and untargeted pathogen detection and genome assembly. source
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- cites [47] Quick, J. et al. Real-time, portable genome sequencing for Ebola surveillance. Nature 530, 228–232 (2016). This study describes deployment of a portable nanopore sequencer for real-time actionable sequencing of clinical samples during the Ebola outbreak in West Africa. source
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PremisecitationThe FDA has approved two NGS panels for clinical testing of actionable genomic aberrations in tumour samples.
“To date, the US Food and Drug Administration (FDA) has approved the clinical use of two NGS panels testing for actionable genomic aberrations in tumour samples87.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [87] Allegretti, M. et al. Tearing down the walls: FDA approves next generation sequencing (NGS) assays for actionable cancer genomic aberrations. J. Exp. Clin. Cancer Res. 37, 47 (2018). source
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InterpretationcitationDifferential lysis methods can be limited by decreased sensitivity for microorganisms without cell walls, possible increase in exogenous contamination from additional reagents, and inability to detect free nucleic acid from dead organisms.
“These limitations include potential decreased sensitivity for microorganisms without cell walls, such as Mycoplasma spp. or parasites; a possible paradoxical increase in exogenous background contamination by use of additional reagents101; and the inability to detect free nucleic acid from dead organisms that are lysed in vivo by human host immune cells or antibiotic treatment.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [101] Salter, S. et al. Reagent and laboratory contamination can critically impact sequence-based microbiome analyses. BMC Biol. 12, 87 (2014). source
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InterpretationreasoningMicroorganisms on this background list are either not reported or require higher reporting thresholds if clinically significant.
“Microorganisms on this list are either not reported or will require higher thresholds for reporting if they are clinically significant organisms.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationHuman host background limitation may be overcome with brute force due to increasing sequencer capacities; e.g., astrovirus detected by ultradeep sequencing of brain tissue yielded 1,612 reads out of ~134 million (0.0012%).
“For instance, an astrovirus was detected in a child with encephalitis by ultradeep sequencing of brain tissue, yielding only 1,612 reads out of ~134 million (0.0012%) sequences103.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [103] Naccache, S. et al. Diagnosis of neuroinvasive astrovirus infection in an immunocompromised adult with encephalitis by unbiased next-generation sequencing. Clin. Infect. Dis. 60, 919–923 (2015). source
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Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone givenClinical laboratory operations have defined workflows and scheduled staffing and are less amenable to on-demand testing than research laboratories.
“Clinical laboratory operations are characterized by a defined workflow with scheduled staffing levels and are less amenable to on-demand testing than those of research laboratories.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenBoth differential lysis and propidium monoazide approaches would be cumbersome to implement in a highly reproducible fashion needed for clinical laboratory validation.
“In general, both the differential lysis and propidium monoazide approaches would also be cumbersome to implement in a highly reproducible fashion, which is needed for clinical laboratory validation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningMaintaining high quality during complex mNGS procedures can be stressful to staff, as slight deviations in sample handling can lead to major changes in results.
“Maintaining high quality during complex mNGS procedures can be stressful to staff, as slight deviations in sample handling can lead to major changes in the results generated.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationcfDNA analysis has been useful for non-invasive prenatal testing, such as identifying trisomy 21.
“Similarly, cfDNA analysis has been useful for non-invasive prenatal testing applications, such as for the identification of trisomy 21 (ref.124).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [124] Norton, M. E. et al. Cell-free DNA analysis for noninvasive examination of trisomy. N. Engl. J. Med. 372, 1589–1597 (2015). source
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InterpretationreasoningcfDNA analysis may have decreased sensitivity for predominantly intracellular pathogens (HTLV, Rickettsia spp., Pneumocystis jirovecii) and loses ability to interrogate cellular human host responses with RNA sequencing.
“However, limitations of cfDNA analysis may include decreased sensitivity for detection of predominantly intracellular pathogens, such as human T cell lymphotropic virus, Rickettsia spp. and Pneumocystis jirovecii, and loss of the ability to interrogate cellular human host responses with RNA sequencing.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationERCC RNA standards (or DNA equivalents) can be used as spike-in internal controls to control for assay inhibition and quantify pathogen titres by standard curve analysis.
“The complete set or a portion of the ERCC RNA standards (or their DNA equivalents) can be used as spike-in internal controls to control for assay inhibition and to quantify titres of detected pathogens by standard curve analysis108.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [108] Avraham, R. et al. A highly multiplexed and sensitive RNA-seq protocol for simultaneous analysis of host and pathogen transcriptomes. Nat. Protoc. 11, 1477–1491 (2016). source
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Probably not a substantial claim: may not pass S4 (based).
Premisenone givenLaboratory surfaces, consumables and reagents are not DNA free.
“In addition, laboratory surfaces, consumables and reagents are not DNA free.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningAdding specific viral probes to NGS panels or sequencing whole tumour genome/exome would allow detection of integrated and exogenous viruses.
“Detection of reads corresponding to both integrated and exogenous viruses in these samples would be possible with the addition of specific viral probes to the panel or accomplished incidentally while sequencing the whole tumour genome or exome.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone givenUnless fully automated sample-handling systems are available, wet lab manipulations for mNGS require considerable hands-on time and highly trained molecular biology staff.
“Unless fully automated sample-handling systems are readily available, wet lab manipulations for mNGS require considerable hands-on time to perform, as well as clinical staff who are highly trained in molecular biology procedures.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationImplementing mNGS in clinical laboratory is complex and requires customizing research protocols with quality management consistent with regulatory standards.
“Implementation of mNGS in the clinical laboratory is a complex endeavour that requires customization of research protocols using a quality management approach consistent with regulatory standards90.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [90] Burd, E. Validation of laboratory-developed molecular assays for infectious diseases. Clin. Microbiol. Rev. 23, 550–576 (2010). This paper summarizes the essential requirements for validation of infectious disease assays in a clinical laboratory. source
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Probably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThere is a critical need for standardized reference organisms and genomic materials to facilitate comparisons and define optimal analysis methods.
“There is a critical need for standardized reference organisms and genomic materials to facilitate such comparisons and to define optimal analysis methods.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenWell-characterized reference standards and controls are needed to ensure mNGS assay quality and stability over time.
“Well-characterized reference standards and controls are needed to ensure mNGS assay quality and stability over time.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningThere are ergonomic concerns with repetitive tasks like pipetting and potential for sample mix-up or omission of critical steps.
“There are ergonomic concerns with repetitive tasks such as pipetting, as well as potential for inadvertent sample mix-up or omission of critical steps in the workflow.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationInternal spike-in control standards are available for other NGS applications, such as ERCC RNA standards composed of synthetic RNA oligonucleotides spanning a range of lengths and concentrations.
“Internal spike-in control standards are available for other NGS applications such as transcriptome analysis by RNA-seq, with External RNA Controls Consortium (ERCC) RNA standards composed of synthetic RNA oligonucleotides spanning a range of nucleotide lengths and concentrations107.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [107] Pine, P. et al. Evaluation of the External RNA Controls Consortium (ERCC) reference material using a modified Latin square design. BMC Biotechnol. 16, 54 (2016). source
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InterpretationcitationKnowledge of integrated or active viral infections in cancers and their involvement in signalling pathways may inform preventive and therapeutic interventions with targeted antiviral and/or chemotherapeutic drugs, as evidenced by decreased risk of HCV-associated hepatocellular carcinoma after direct-acting antiviral treatment.
“Additional knowledge of integrated or active viral infections in cancers and their involvement in signalling pathways may inform preventive and therapeutic interventions with targeted antiviral and/or chemotherapeutic drugs88, as evidenced by the decreased risk of hepatitis C virus-associated hepatocellular carcinoma after treatment with direct-acting antiviral agents89.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [88] Saha, A., Kaul, R., Murakami, M. & Robertson, E. S. Tumor viruses and cancer biology: modulating signaling pathways for therapeutic intervention. Cancer Biol. Ther. 10, 961–978 (2010). source
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- cites [89] Kanwal, F. et al. Risk of hepatocellular cancer in HCV patients treated with direct-acting antiviral agents. Gastroenterology 153, 996–1005 (2017). source
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Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningBecause samples are typically handled in batches, batch analysis frequency is a major determinant of overall turnaround time.
“As samples are typically handled in batches, the frequency of batch analysis is a major determinant of overall turnaround time.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationFDA has general guidelines for clinical validation of NGS infectious disease testing, but no definitive recommendations or specific requirements for clinical implementation of mNGS.
“Although the FDA has provided general guidelines for clinical validation of NGS infectious disease testing91, there are no definitive recommendations for the clinical implementation of mNGS testing, nor is there mention of specific requirements.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [91] Food and Drug Administration. Infectious disease next generation sequencing based diagnostic devices: microbial identification and detection of antimicrobial resistance and virulence markers (FDA, 2016). This draft guidance from the FDA covers considerations for validation and approval of sequencing-based diagnostic devices for infectious diseases.
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Probably not a substantial claim: may not pass S4 (based).
Premisenone givenUser-friendly bioinformatics software for mNGS data analysis is not currently available.
“User-friendly bioinformatics software for analysis of mNGS data is not currently available.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningMajority of library preparation methods for mNGS are performed manually and incur considerable staff time.
“Thus, the majority of library preparation methods for mNGS are performed manually and hence incur considerable staff time.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationEstablishing thresholds enables separation of true-positive matches from background, and thresholds can incorporate metrics such as read counts normalized to reads per million, external no-template controls or internal spike-in material, number of nonoverlapping genomic regions covered, and read abundance relative to negative controls.
“Establishing thresholds enables separation of true-positive matches from the background, and these thresholds can incorporate metrics such as the number of sequence reads aligning to the detected microorganism, normalized to reads per million, external no-template control samples or internal spike-in material; the number of nonoverlapping genomic regions covered; and the read abundance in clinical”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationUse of standardized reference materials and NGS data sets is helpful in comparative evaluation of different bioinformatics pipelines.
“The use of standardized reference materials and NGS data sets is also helpful in comparative evaluation of different bioinformatics pipelines105.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [105] McIntyre, A. et al. Comprehensive benchmarking and ensemble approaches for metagenomic classifiers. Genome Biol. 18, 182 (2017). source
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Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOngoing monitoring is particularly important for mNGS assays to verify acceptable performance over time and investigate atypical findings.
“Ongoing monitoring is particularly important for mNGS assays to verify acceptable performance over time and to investigate atypical findings36.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [36] Miller, S. et al. Laboratory validation of a clinical metagenomic sequencing assay for pathogen detection in cerebrospinal fluid. Preprint at bioRxiv https://doi.org/10.1101/330381 (2019). This paper describes the clinical validation of an mNGS assay for diagnosis of meningitis and encephalitis from cerebrospinal fluid. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAs NGS procedures become more standardized, there has been a drive towards increasing automation with liquid-handling biorobots.
“As NGS procedures become more standardized, there has been a drive towards increasing automation with the use of liquid-handling biorobots115.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [115] May, M. Automated sample preparation. NIST Special Publication 1222, 1–17 (2016). source
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InterpretationreasoningWhile current limitations suggest mNGS is unlikely to replace conventional diagnostics in short term, it can be a complementary, and perhaps essential, test in certain clinical situations.
“In summary, while current limitations suggest that mNGS is unlikely to replace conventional diagnostics in the short term, it can be a complementary, and perhaps essential, test in certain clinical situations.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningOverall cost is several hundreds to thousands of dollars per sample analysed, higher than many other clinical tests.
“This leads to an overall cost of several hundreds to thousands of dollars per sample analysed, which is higher than that for many other clinical tests.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationResearch studies have demonstrated clinical potential of nanopore sequencing in targeted universal 16S rRNA bacterial detection, microbiome analyses, whole-genome sequencing of bacteria and outbreak viruses, RNA-seq using standardized controls, and diagnosis of prosthetic joint and lower respiratory infections.
“Research studies have also demonstrated the clinical potential of nanopore sequencing in targeted universal 16S ribosomal RNA (rRNA) bacterial detection127, microbiome analyses128, whole-genome sequencing of bacteria129 and outbreak viruses44,45,47, RNA sequencing (RNA-seq) using standardized controls130 and diagnosis of prosthetic joint131 and lower respiratory infections99.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [127] Mitsuhashi, S. et al. A portable system for rapid bacterial composition analysis using a nanopore-based sequencer and laptop computer. Sci. Rep. 7, 5657 (2017). source
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- cites [128] Kerkhof, L., Dillon, K., Häggblom, M. & McGuinness, L. Profiling bacterial communities by MinION sequencing of ribosomal operons. Microbiome 5, 116 (2017). source
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- cites [129] Tyler, A. et al. Evaluation of Oxford Nanopore’s MinION sequencing device for microbial whole genome sequencing applications. Sci. Rep. 8, 10931 (2018). source
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Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationClinical laboratories are highly regulated, and general laboratory and testing requirements apply to all molecular diagnostic assays reported for patient care.
“Clinical laboratories are highly regulated, and general laboratory and testing requirements apply to all molecular diagnostic assays reported for patient care90.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [90] Burd, E. Validation of laboratory-developed molecular assays for infectious diseases. Clin. Microbiol. Rev. 23, 550–576 (2010). This paper summarizes the essential requirements for validation of infectious disease assays in a clinical laboratory. source
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InterpretationcitationReal-time sequencing may be a game-changing technology for point-of-care applications in clinical medicine and public health, as laboratories have begun to apply these tools to diagnose atypical infections and track pathogen outbreaks, as demonstrated by nanopore sequencing for Ebola and ZIKV surveillance and on ISS.
“Real-time sequencing in particular may be a game-changing technology for point-of-care applications in clinical medicine and public health, as laboratories have begun to apply these tools to diagnose atypical infections and track pathogen outbreaks, as demonstrated by the recent deployment of real-time nanopore sequencing for remote epidemiological surveillance of Ebola44 and ZIKV44,45, and even”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [44] Faria, N. R. et al. Establishment and cryptic transmission of Zika virus in Brazil and the Americas. Nature 546, 406–410 (2017). source
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- cites [45] Grubaugh, N. et al. Genomic epidemiology reveals multiple introductions of Zika virus into the United States. Nature 546, 401–405 (2017). source
Not checked in the free run.
May combine two claims.
PremisecitationAlthough mNGS use for informing clinical care has been demonstrated in multiple case reports and small case series, nearly all studies have been retrospective, and clinical utility has yet to be established in a large-scale prospective clinical trial.
“Although the use of mNGS for informing clinical care has been demonstrated in multiple case reports and small case series118, nearly all studies have been retrospective, and clinical utility has yet to be established in a large-scale prospective clinical trial.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [118] Simner, P. J., Miller, S. & Carroll, K. C. Understanding the promises and hurdles of metagenomic next-generation sequencing as a diagnostic tool for infectious diseases. Clin. Infect. Dis. 66, 778–788 (2018). This is a concise yet comprehensive review of some of the clinical applications of mNGS for diagnosis of infectious diseases. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisereasoningIncreased multiplexing is possible with greatly enhanced output from latest generation sequencers, such as Illumina NovaSeq.
“Increased multiplexing is also possible with the greatly enhanced output from the latest generation of sequencers, such as the Illumina NovaSeq instruments.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationROC analysis is useful to determine optimal threshold values for a training set of clinical samples with known results, with verification of pre-established thresholds using an independent validation set.
“Receiver–operator curve (ROC) analysis is a useful tool to determine optimal threshold values for a training set of clinical samples with known results, with verification of pre-established thresholds using an independent validation set36.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [36] Miller, S. et al. Laboratory validation of a clinical metagenomic sequencing assay for pathogen detection in cerebrospinal fluid. Preprint at bioRxiv https://doi.org/10.1101/330381 (2019). This paper describes the clinical validation of an mNGS assay for diagnosis of meningitis and encephalitis from cerebrospinal fluid. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone givenBioinformatics pipelines for mNGS analysis use many different algorithms, usually developed for research and constantly updated.
“Bioinformatics pipelines for mNGS analysis use a number of different algorithms, usually developed for the research setting and constantly updated by software developers.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone givenmNGS transcriptomic approach might enable effective treatment triage, whereby antimicrobials are only needed for patients showing an 'infectious profile' of gene expression and those with 'non-infectious profile' can be treated for other causes.
“For example, the mNGS transcriptomic approach might enable effective treatment triage, whereby antimicrobials are only needed for patients showing an ‘infectious profile’ of gene expression and those with a ‘non-infectious profile’ can be treated for other causes.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationLarger and more complete databases like NCBI Nucleotide are more comprehensive but contain more errors than curated, more limited databases like FDA-ARGOS or RVDB.
“Larger and more complete databases containing publicly deposited sequences such as the National Center for Biotechnology Information (NCBI) Nucleotide database are more comprehensive but also contain more errors than curated, more limited databases such as FDA-ARGOS91,113 or the FDA Reference Viral Database (RVDB)114.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [91] Food and Drug Administration. Infectious disease next generation sequencing based diagnostic devices: microbial identification and detection of antimicrobial resistance and virulence markers (FDA, 2016). This draft guidance from the FDA covers considerations for validation and approval of sequencing-based diagnostic devices for infectious diseases.
Not checked in the free run.
- cites [113] Goldberg, B., Sichtig, H., Geyer, C., Ledeboer, N. & Weinstock, G. Making the leap from research laboratory to clinic: challenges and opportunities for next-generation sequencing in infectious disease diagnostics. mBio 6, e01888-15 (2015). source
Not checked in the free run.
- cites [114] Goodacre, N., Aljanahi, A., Nandakumar, S., Mikailov, M. & Khan, A. S. A reference viral database (RVDB) to enhance bioinformatics analysis of high-throughput sequencing for novel virus detection. mSphere 3, e00069-18 (2018). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningA potential limitation with running larger numbers of samples per run is longer overall turnaround times for clinical use due to batch processing and workflow/computational considerations.
“However, a potential limitation with running larger numbers of samples per run is longer overall turnaround times for clinical use owing to the requirement for batch processing as well as sample workflow and computational analysis considerations.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone givenMany laboratories maintain both production and up-to-date development versions of clinical reference database, with production database updated at regular, prespecified intervals.
“Many laboratories maintain both production and up-to-date development versions of the clinical reference database (for example, the NCBI nucleotide database is updated every 2 weeks), with the production database being updated at regular, prespecified intervals.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationcitationHigh-quality evidence that clinical metagenomic assays are effective in guiding patient management will require protocols that minimize potential assay and patient selection bias and compare relevant health outcomes using data sets from large patient cohorts.
“High-quality evidence that clinical metagenomic assays are effective in guiding patient management will require protocols that minimize potential assay and patient selection bias and compare relevant health outcomes using data sets generated from large patient cohorts119,120.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [119] Afshinnekoo, E., Ahsanuddin, S. & Mason, C. E. Globalizing and crowdsourcing biomedical research. Br. Med. Bull. 120, 27–33 (2016). source
Not checked in the free run.
- cites [120] Brooks, J. P. et al. The truth about metagenomics: quantifying and counteracting bias in 16S rRNA studies. BMC Microbiol. 15, 66 (2015). source
Not checked in the free run.
May combine two claims.
InterpretationreasoningThe selective sequencing method that depletes human reads during a run is not scalable at present, because the nanopore sequencer's throughput is limited (up to 10 million mNGS reads per MinION run as of 2019) and because reads must be matched to reference sequences computationally in real time.
“Although attractive for purposes of protecting patient privacy and confidentiality, as human reads are depleted as part of the sequencing run, this approach is not currently scalable owing to the limited throughput of the nanopore sequencer to date (up to 10 million mNGS reads per run on the MinION nanopore sequencer as of 2019) and the need to computationally match reads to reference sequences in”
Quote in the paperSubstantial claim- Rests on an assumption: The MinION nanopore sequencer can produce as many as ten million mNGS reads in a single run as of 2019.
- Rests on an assumption: The selective sequencing approach requires that reads be matched computationally to reference sequences in real time.
Probably not a substantial claim: may not pass S4 (based).
Interpretationnone givenUntargeted approaches such as mNGS or whole-transcriptome RNA-seq may be limited by lower throughput of nanopore sequencing relative to short-read sequencing such as Illumina.
“Untargeted approaches such as mNGS or whole-transcriptome RNA-seq, however, may be limited by the lower throughput of nanopore sequencing relative to short-read sequencing such as with an Illumina instrument.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone givenTo date, the only commercially available instruments for nanopore sequencing are from Oxford Nanopore Technologies and include MinION, GridION, PromethION.
“To date, the only commercially available instruments for nanopore sequencing are from Oxford Nanopore Technologies and include the MinION (1 flow cell), GridION (5 flow cell capacity) and PromethION (48 flow cell capacity).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone givenPublic databases for microbial reference genomes are continuously updated, and laboratories need to track exact versions used and deal with potential misannotations and other database errors.
“Additionally, public databases for microbial reference genomes are being continuously updated, and laboratories need to keep track of the exact versions used in addition to dealing with potential misannotations and other database errors.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenHigh-throughput processing of clinical samples for NGS may only be possible in reference laboratories.
“Additionally, high-throughput processing of clinical samples for NGS may only be possible in reference laboratories.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningA combined approach incorporating annotated sequences from multiple databases may enable greater confidence in sensitivity and specificity of microorganism identification.
“A combined approach that incorporates annotated sequences from multiple databases may enable greater confidence in the sensitivity and specificity of microorganism identification.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationIt is usually necessary to make custom modifications to pipeline software and then lock down both software and reference databases for clinical validation.
“As for wet lab procedures, it is usually necessary to make custom modifications to the pipeline software and then lock down both the software and reference databases for the purposes of clinical validation112.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [112] Roy, S. et al. Standards and guidelines for validating next-generation sequencing bioinformatics pipelines: a joint recommendation of the Association for Molecular Pathology and the College of American Pathologists. J. Mol. Diagn. 20, 4–27 (2018). This draft guidance from the Association for Molecular Pathology and College of American Pathologists reviews standards and guidelines for validation of NGS bioinformatics pipelines. source
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based).
Premisenone givenTechnological advancements in library preparation, sequence generation and computational bioinformatics are enabling quicker and more comprehensive metagenomic analyses at lower cost.
“Technological advancements in library preparation methods, sequence generation and computational bioinformatics are enabling quicker and more comprehensive metagenomic analyses at lower cost.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationnone givenAdditional resources needed to run and maintain a bioinformatics analysis pipeline are considerable, and regulatory oversight steps can add notably to costs.
“The additional resources needed to run and maintain a bioinformatics analysis pipeline are also considerable, and steps taken to ensure regulatory oversight can add notably to costs as well.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationDevelopment of microfluidic devices for NGS sample library preparation, such as VolTRAX, could eventually enable clinicians to use mNGS more widely in hospital laboratories or point-of-care settings.
“The development of microfluidic devices for NGS sample library preparation, such as VolTRAX116, could eventually enable clinicians to use mNGS more widely in hospital laboratories or point-of-care settings.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [116] Levy, S. E. & Myers, R. M. Advancements in next-generation sequencing. Annu. Rev. Genomics Hum. Genet. 17, 95–115 (2016). source
Not checked in the free run.
May combine two claims.
InterpretationcitationAs a comprehensive direct detection method, mNGS may eventually replace culture, antigen detection and PCR in clinical microbiology, but indirect approaches like viral serological testing will continue to play a key part in diagnostic work-up, and functional assays like culture and phenotypic susceptibility testing will likely always be useful for research.
“As a comprehensive direct detection method, mNGS may eventually replace culture, antigen detection and PCR methods in clinical microbiology, but indirect approaches such as viral serological testing will continue to play a key part in the diagnostic work-up for infections27, and functional assays such as culture and phenotypic susceptibility testing will likely always be useful for research”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [27] Greninger, A. The challenge of diagnostic metagenomics. Expert Rev. Mol. Diagn. 18, 605–615 (2018). source
Not checked in the free run.
May combine two claims.
Interpretationnone givenSensitivity for pathogen detection is decreased in clinical samples with high nucleic acid background or exceedingly low pathogen titres; this is only partially mitigated by increasing sequencing depth per sample as costs drop.
“In particular, sensitivity for pathogen detection is decreased in clinical samples with a high nucleic acid background or with exceedingly low pathogen titres; this concern is only partially mitigated by increasing sequencing depth per sample as costs continue to drop.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationNanopore sequencing is an emerging NGS technology that enables real-time analysis of sequencing data.
“Nanopore sequencing is an emerging next-generation sequencing (NGS) technology that enables real-time analysis of sequencing data125.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [125] Jain, M., Olsen, H., Paten, B. & Akeson, M. The Oxford Nanopore MinION: delivery of nanopore sequencing to the genomics community. Genome Biol. 17, 239 (2016). source
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based).
Premisenone givenMost laboratories lack robotic equipment and established automated protocols to multiplex large numbers of patient samples in a single run.
“Most laboratories lack the robotic equipment and established automated protocols to multiplex large numbers of patient samples in a single run.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenTypically, two biorobots are needed for clinical mNGS for pre-amplification and post-amplification steps to avoid PCR amplicon cross-contamination.
“Typically, two biorobots are needed for clinical mNGS for both the pre-amplification and post-amplification steps to avoid PCR amplicon cross-contamination.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
For clinical metagenomic tests, there are no universal reference materials or established ways to show validation, reproducibility, and quality assurance.
“Additionally, universal reference standards and proven approaches to demonstrate test validation, reproducibility and quality assurance for clinical metagenomic assays are lacking.”
The paper relies on this without support.
Whether a microorganism found in a sample is a contaminant, colonizer, or genuine pathogen is frequently uncertain.
“it is often unclear whether a detected microorganism is a contaminant, colonizer or bona fide pathogen.”
The paper relies on this without support.
No microbiome-based test has been clinically validated for diagnosing or treating disease.
“However, no microbiome-based tests have been clinically validated for the diagnosis or treatment of disease, in part owing to an incomplete understanding of the complexity of the microbiome and its role in disease pathogenesis.”
The paper relies on this without support.
No RNA-seq-based assay has been clinically validated for patient use.
“Although no RNA-seq-based assay has been clinically validated to date for use in patients”
The paper relies on this without support.
Most mNGS applications have not yet entered routine clinical practice.
“Aside from infectious disease diagnostics, adoption of mNGS in clinical laboratories has been slow, and most applications have yet to be incorporated into routine clinical practice.”
The paper relies on this without support.
As of the paper's writing, no clinical test based on next-generation sequencing for pathogens had been validated using nanopore sequencing.
“Currently, no NGS-based clinical test for pathogens has been validated on a nanopore sequencing platform.”
The paper relies on this without support.
Adoption of nanopore devices in clinical settings has been constrained by the fast rate of platform changes, which complicates validation that needs standardized instruments and fixed protocols, and by continuing problems with sequencing quality and output.
“The clinical adoption of these devices has been limited by the rapid pace of improvements to the platform, which can hinder clinical validation efforts requiring standardized instruments and locked-down protocols, and by ongoing issues regarding sequencing quality and yield.”
The paper relies on this without support.
The MinION nanopore sequencer can produce as many as ten million mNGS reads in a single run as of 2019.
“up to 10 million mNGS reads per run on the MinION nanopore sequencer as of 2019”
The paper relies on this without support.
The selective sequencing approach requires that reads be matched computationally to reference sequences in real time.
“the need to computationally match reads to reference sequences in real time”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Metagenomic next-generation sequencing is theoretically able to detect all potential pathogens in one assay by sequencing all genetic material in a sample.
“By sequencing all genetic material, both DNA and RNA after conversion into cDNA, in a sample, it is theoretically able to detect all potential pathogens in one assay (43).”
From Molecular diagnostics in cerebrospinal fluid for the diagnosis of central nervous system infections (2024) · cites this paper as [43]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Astrovirus patient described as both a child and an adult
MinorThe text describes the patient in the astrovirus sequencing example as a child, but the cited reference's title describes an adult with encephalitis.
“an astrovirus was detected in a child with encephalitis by ultradeep sequencing of brain tissue, yielding only 1,612 reads out of ~134 million (0.0012%) sequences103.”
“103. Naccache S Diagnosis of neuroinvasive astrovirus infection in an immunocompromised adult with encephalitis by unbiased next-generation sequencing”
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Human strongyloidiasis: complexities and pathways forward
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Innovations in genomic antimicrobial resistance surveillance
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- Authors
- Chiu, C. Y., & Miller, S. A.
- Affiliations
- University of California, San Francisco (US)
- Corresponding author
- Chiu, Charles Y.
- ORCID
- Chiu, Charles Y.
- Venue
- Nature Reviews Genetics
- Published
- 2019-03-27
- Volume
- 20
- Issue
- 6
- Pages
- 341-355
- ISSN
- 1471-0056 (ISSN-L)
- 1471-0064
- PMC
- PMC6858796
- OpenAlex
- W4211037082
- Semantic Scholar
- 8fdae8707a6c5a5ec0e39a7bbf9ef2fba7b6790f
- Cited by
- 1,620
- References
- 142
- Citations by year
- 2026: 270 · 2025: 272 · 2024: 293 · 2023: 234 · 2022: 228 · 2021: 193 · 2020: 103 · 2019: 26
- FWCI
- 18.18
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Nature Reviews Genetics (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institutes of Health (4r33ai120977-03)
- National Heart, Lung, and Blood Institute (R01HL105704)
- National Institute of Allergy and Infectious Diseases (R33-AI120977)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Clinical Biochemistry › Bacterial Identification and Susceptibility Testing
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Keywords
- clinical metagenomics, metagenomic next-generation sequencing, infectious disease diagnostics, antimicrobial resistance, microbiome, host gene expression, transcriptomics, clinical laboratory implementation
- MeSH terms
- Animals, Anti-Bacterial Agents, Bacteria, Communicable Diseases, DNA, Fungi, Helminths, Humans, Public Health, Medical Laboratory Science, Viruses, Drug Resistance, Multiple, Bacterial, Host-Pathogen Interactions, Metagenome, Metagenomics, High-Throughput Nucleotide Sequencing
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