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Luo Q, Lu P, Chen Y, Shen P, Zheng B, Ji J, Ying C, Liu Z, Xiao Y. ESKAPE in China: epidemiology and characteristics of antibiotic resistance. Emerg Microbes Infect 2024; 13:2317915. [PMID: 38356197 PMCID: PMC10896150 DOI: 10.1080/22221751.2024.2317915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 02/08/2024] [Indexed: 02/16/2024]
Abstract
The escalation of antibiotic resistance and the diminishing antimicrobial pipeline have emerged as significant threats to public health. The ESKAPE pathogens - Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter spp. - were initially identified as critical multidrug-resistant bacteria, demanding urgently effective therapies. Despite the introduction of various new antibiotics and antibiotic adjuvants, such as innovative β-lactamase inhibitors, these organisms continue to pose substantial therapeutic challenges. People's Republic of China, as a country facing a severe bacterial resistance situation, has undergone a series of changes and findings in recent years in terms of the prevalence, transmission characteristics and resistance mechanisms of antibiotic resistant bacteria. The increasing levels of population mobility have not only shaped the unique characteristics of antibiotic resistance prevalence and transmission within People's Republic of China but have also indirectly reflected global patterns of antibiotic-resistant dissemination. What's more, as a vast nation, People's Republic of China exhibits significant variations in the levels of antibiotic resistance and the prevalence characteristics of antibiotic resistant bacteria across different provinces and regions. In this review, we examine the current epidemiology and characteristics of this important group of bacterial pathogens, delving into relevant mechanisms of resistance to recently introduced antibiotics that impact their clinical utility in China.
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Affiliation(s)
- Qixia Luo
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital of Medical School, College of medicine, Zhejiang University, Hangzhou, People’s Republic of China
| | - Ping Lu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital of Medical School, College of medicine, Zhejiang University, Hangzhou, People’s Republic of China
| | - Yunbo Chen
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital of Medical School, College of medicine, Zhejiang University, Hangzhou, People’s Republic of China
| | - Ping Shen
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital of Medical School, College of medicine, Zhejiang University, Hangzhou, People’s Republic of China
| | - Beiwen Zheng
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital of Medical School, College of medicine, Zhejiang University, Hangzhou, People’s Republic of China
| | - Jinru Ji
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital of Medical School, College of medicine, Zhejiang University, Hangzhou, People’s Republic of China
| | - Chaoqun Ying
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital of Medical School, College of medicine, Zhejiang University, Hangzhou, People’s Republic of China
| | - Zhiying Liu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital of Medical School, College of medicine, Zhejiang University, Hangzhou, People’s Republic of China
| | - Yonghong Xiao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital of Medical School, College of medicine, Zhejiang University, Hangzhou, People’s Republic of China
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Mouratidis I, Baltoumas FA, Chantzi N, Patsakis M, Chan CS, Montgomery A, Konnaris MA, Aplakidou E, Georgakopoulos GC, Das A, Chartoumpekis DV, Kovac J, Pavlopoulos GA, Georgakopoulos-Soares I. kmerDB: A database encompassing the set of genomic and proteomic sequence information for each species. Comput Struct Biotechnol J 2024; 23:1919-1928. [PMID: 38711760 PMCID: PMC11070822 DOI: 10.1016/j.csbj.2024.04.050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 04/17/2024] [Accepted: 04/18/2024] [Indexed: 05/08/2024] Open
Abstract
The decrease in sequencing expenses has facilitated the creation of reference genomes and proteomes for an expanding array of organisms. Nevertheless, no established repository that details organism-specific genomic and proteomic sequences of specific lengths, referred to as kmers, exists to our knowledge. In this article, we present kmerDB, a database accessible through an interactive web interface that provides kmer-based information from genomic and proteomic sequences in a systematic way. kmerDB currently contains 202,340,859,107 base pairs and 19,304,903,356 amino acids, spanning 54,039 and 21,865 reference genomes and proteomes, respectively, as well as 6,905,362 and 149,305,183 genomic and proteomic species-specific sequences, termed quasi-primes. Additionally, we provide access to 5,186,757 nucleic and 214,904,089 peptide sequences absent from every genome and proteome, termed primes. kmerDB features a user-friendly interface offering various search options and filters for easy parsing and searching. The service is available at: www.kmerdb.com.
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Affiliation(s)
- Ioannis Mouratidis
- Institute for Personalized Medicine, Department of Biochemistry and Molecular Biology, The Pennsylvania State University College of Medicine, Hershey, PA, USA
- Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, USA
| | - Fotis A. Baltoumas
- Institute for Fundamental Biomedical Research, BSRC "Alexander Fleming", Vari, 16672, Greece
| | - Nikol Chantzi
- Institute for Personalized Medicine, Department of Biochemistry and Molecular Biology, The Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Michail Patsakis
- Institute for Personalized Medicine, Department of Biochemistry and Molecular Biology, The Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Candace S.Y. Chan
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Austin Montgomery
- Institute for Personalized Medicine, Department of Biochemistry and Molecular Biology, The Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Maxwell A. Konnaris
- Institute for Personalized Medicine, Department of Biochemistry and Molecular Biology, The Pennsylvania State University College of Medicine, Hershey, PA, USA
- Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, USA
- Department of Statistics, The Pennsylvania State University, University Park, PA, USA
| | - Eleni Aplakidou
- Institute for Fundamental Biomedical Research, BSRC "Alexander Fleming", Vari, 16672, Greece
- Department of Basic Sciences, School of Medicine, University of Crete, Heraklion, Greece
| | - George C. Georgakopoulos
- National Technical University of Athens, School of Electrical and Computer Engineering, Athens, Greece
| | - Anshuman Das
- Institute for Personalized Medicine, Department of Biochemistry and Molecular Biology, The Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Dionysios V. Chartoumpekis
- Service of Endocrinology, Diabetology and Metabolism, Lausanne University Hospital, Lausanne, Switzerland
| | - Jasna Kovac
- Department of Food Science, The Pennsylvania State University, University Park, PA 16802, USA
| | - Georgios A. Pavlopoulos
- Institute for Fundamental Biomedical Research, BSRC "Alexander Fleming", Vari, 16672, Greece
- Center for New Biotechnologies and Precision Medicine, School of Medicine, National and Kapodistrian University of Athens, Athens, 11527, Greece
| | - Ilias Georgakopoulos-Soares
- Institute for Personalized Medicine, Department of Biochemistry and Molecular Biology, The Pennsylvania State University College of Medicine, Hershey, PA, USA
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Bareja C, Dwivedi K, Uboveja A, Mathur A, Kumar N, Saluja D. Identification and clinicopathological analysis of potential p73-regulated biomarkers in colorectal cancer via integrative bioinformatics. Sci Rep 2024; 14:9894. [PMID: 38688978 PMCID: PMC11061124 DOI: 10.1038/s41598-024-60715-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 04/26/2024] [Indexed: 05/02/2024] Open
Abstract
This study aims to decipher crucial biomarkers regulated by p73 for the early detection of colorectal cancer (CRC) by employing a combination of integrative bioinformatics and expression profiling techniques. The transcriptome profile of HCT116 cell line p53- / - p73+ / + and p53- / - p73 knockdown was performed to identify differentially expressed genes (DEGs). This was corroborated with three CRC tissue expression datasets available in Gene Expression Omnibus. Further analysis involved KEGG and Gene ontology to elucidate the functional roles of DEGs. The protein-protein interaction (PPI) network was constructed using Cytoscape to identify hub genes. Kaplan-Meier (KM) plots along with GEPIA and UALCAN database analysis provided the insights into the prognostic and diagnostic significance of these hub genes. Machine/deep learning algorithms were employed to perform TNM-stage classification. Transcriptome profiling revealed 1289 upregulated and 1897 downregulated genes. When intersected with employed CRC datasets, 284 DEGs were obtained. Comprehensive analysis using gene ontology and KEGG revealed enrichment of the DEGs in metabolic process, fatty acid biosynthesis, etc. The PPI network constructed using these 284 genes assisted in identifying 20 hub genes. Kaplan-Meier, GEPIA, and UALCAN analyses uncovered the clinicopathological relevance of these hub genes. Conclusively, the deep learning model achieved TNM-stage classification accuracy of 0.78 and 0.75 using 284 DEGs and 20 hub genes, respectively. The study represents a pioneer endeavor amalgamating transcriptomics, publicly available tissue datasets, and machine learning to unveil key CRC-associated genes. These genes are found relevant regarding the patients' prognosis and diagnosis. The unveiled biomarkers exhibit robustness in TNM-stage prediction, thereby laying the foundation for future clinical applications and therapeutic interventions in CRC management.
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Affiliation(s)
- Chanchal Bareja
- Dr. B.R. Ambedkar Center for Biomedical Research, University of Delhi, Delhi, 110007, India
| | - Kountay Dwivedi
- Department of Computer Science, Faculty of Mathematical Sciences, University of Delhi, Delhi, 110007, India
| | - Apoorva Uboveja
- Dr. B.R. Ambedkar Center for Biomedical Research, University of Delhi, Delhi, 110007, India
| | - Ankit Mathur
- Delhi School of Public Health, Institution of Eminence, University of Delhi, Delhi, 110007, India
| | - Naveen Kumar
- Department of Computer Science, Faculty of Mathematical Sciences, University of Delhi, Delhi, 110007, India
| | - Daman Saluja
- Dr. B.R. Ambedkar Center for Biomedical Research, University of Delhi, Delhi, 110007, India.
- Delhi School of Public Health, Institution of Eminence, University of Delhi, Delhi, 110007, India.
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Da Silva AG, Bach E, Ellwanger JH, Chies JAB. Tips and tools to obtain and assess mosquito viromes. Arch Microbiol 2024; 206:132. [PMID: 38436750 DOI: 10.1007/s00203-023-03813-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 12/06/2023] [Accepted: 12/22/2023] [Indexed: 03/05/2024]
Abstract
Due to their vectorial capacity, mosquitoes (Diptera: Culicidae) receive special attention from health authorities and entomologists. These cosmopolitan insects are responsible for the transmission of many viral diseases, such as dengue and yellow fever, causing huge impacts on human health and justifying the intensification of research focused on mosquito-borne diseases. In this context, the study of the virome of mosquitoes can contribute to anticipate the emergence and/or the reemergence of infectious diseases. The assessment of mosquito viromes also contributes to the surveillance of a wide variety of viruses found in these insects, allowing the early detection of pathogens with public health importance. However, the study of mosquito viromes can be challenging due to the number and complexities of steps involved in this type of research. Therefore, this article aims to describe, in a straightforward and simplified way, the steps necessary for obtention and assessment of mosquito viromes. In brief, this article explores: the capture and preservation of specimens; sampling strategies; treatment of samples before DNA/RNA extraction; extraction methodologies; enrichment and purification processes; sequencing choices; and bioinformatics analysis.
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Affiliation(s)
- Amanda Gonzalez Da Silva
- Laboratory of Immunobiology and Immunogenetics, Department of Genetics, Postgraduate Program in Genetics and Molecular Biology (PPGBM), Universidade Federal do Rio Grande do Sul (UFRGS), UFRGS. Av. Bento Gonçalves, 9500, Porto Alegre, Rio Grande do Sul, Brazil
| | - Evelise Bach
- Laboratory of Immunobiology and Immunogenetics, Department of Genetics, Postgraduate Program in Genetics and Molecular Biology (PPGBM), Universidade Federal do Rio Grande do Sul (UFRGS), UFRGS. Av. Bento Gonçalves, 9500, Porto Alegre, Rio Grande do Sul, Brazil
| | - Joel Henrique Ellwanger
- Laboratory of Immunobiology and Immunogenetics, Department of Genetics, Postgraduate Program in Genetics and Molecular Biology (PPGBM), Universidade Federal do Rio Grande do Sul (UFRGS), UFRGS. Av. Bento Gonçalves, 9500, Porto Alegre, Rio Grande do Sul, Brazil
| | - José Artur Bogo Chies
- Laboratory of Immunobiology and Immunogenetics, Department of Genetics, Postgraduate Program in Genetics and Molecular Biology (PPGBM), Universidade Federal do Rio Grande do Sul (UFRGS), UFRGS. Av. Bento Gonçalves, 9500, Porto Alegre, Rio Grande do Sul, Brazil.
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Lema NK, Gemeda MT, Woldesemayat AA. Recent Advances in Metagenomic Approaches, Applications, and Challenge. Curr Microbiol 2023; 80:347. [PMID: 37733134 DOI: 10.1007/s00284-023-03451-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Accepted: 08/20/2023] [Indexed: 09/22/2023]
Abstract
Advances in metagenomics analysis with the advent of next-generation sequencing have extended our knowledge of microbial communities as compared to conventional techniques providing advanced approach to identify novel and uncultivable microorganisms based on their genetic information derived from a particular environment. Shotgun metagenomics involves investigating the DNA of the entire community without the requirement of PCR amplification. It provides access to study all genes present in the sample. On the other hand, amplicon sequencing targets taxonomically important marker genes, the analysis of which is restricted to previously known DNA sequences. While sequence-based metagenomics is used to analyze DNA sequences directly from the environment without the requirement of library construction and with limited identification of novel genes and products that can be complemented by functional genomics, function-based metagenomics requires fragmentation and cloning of extracted metagenome DNA in a suitable host with subsequent functional screening and sequencing clone for detection of a novel gene. Although advances were made in metagenomics, different challenges arise. This review provides insight into advances in the metagenomic approaches combined with next-generation sequencing, their recent applications highlighting the emerging ones, such as in astrobiology, forensic sciences, and SARS-CoV-2 infection diagnosis, and the challenges associated. This review further discusses the different types of metagenomics and outlines advancements in bioinformatics tools and their significance in the analysis of metagenomic datasets.
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Affiliation(s)
- Niguse K Lema
- Department of Biotechnology, College of Biological and Chemical Engineering, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia
- Biotechnology and Bioprocess Center of Excellence, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia
- Department of Biotechnology, Arba Minch University, Arba Minch, Ethiopia
| | - Mesfin T Gemeda
- Department of Biotechnology, College of Biological and Chemical Engineering, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia
- Biotechnology and Bioprocess Center of Excellence, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia
| | - Adugna A Woldesemayat
- Department of Biotechnology, College of Biological and Chemical Engineering, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia.
- Biotechnology and Bioprocess Center of Excellence, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia.
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Wagner GE, Dabernig-Heinz J, Lipp M, Cabal A, Simantzik J, Kohl M, Scheiber M, Lichtenegger S, Ehricht R, Leitner E, Ruppitsch W, Steinmetz I. Real-Time Nanopore Q20+ Sequencing Enables Extremely Fast and Accurate Core Genome MLST Typing and Democratizes Access to High-Resolution Bacterial Pathogen Surveillance. J Clin Microbiol 2023; 61:e0163122. [PMID: 36988494 PMCID: PMC10117118 DOI: 10.1128/jcm.01631-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 02/17/2023] [Indexed: 03/30/2023] Open
Abstract
Next-generation whole-genome sequencing is essential for high-resolution surveillance of bacterial pathogens, for example, during outbreak investigations or for source tracking and escape variant analysis. However, current global sequencing and bioinformatic bottlenecks and a long time to result with standard technologies demand new approaches. In this study, we investigated whether novel nanopore Q20+ long-read chemistry enables standardized and easily accessible high-resolution typing combined with core genome multilocus sequence typing (cgMLST). We set high requirements for discriminatory power by using the slowly evolving bacterium Bordetella pertussis as a model pathogen. Our results show that the increased raw read accuracy enables the description of epidemiological scenarios and phylogenetic linkages at the level of gold-standard short reads. The same was true for our variant analysis of vaccine antigens, resistance genes, and virulence factors, demonstrating that nanopore sequencing is a legitimate competitor in the area of next-generation sequencing (NGS)-based high-resolution bacterial typing. Furthermore, we evaluated the parameters for the fastest possible analysis of the data. By combining the optimized processing pipeline with real-time basecalling, we established a workflow that allows for highly accurate and extremely fast high-resolution typing of bacterial pathogens while sequencing is still in progress. Along with advantages such as low costs and portability, the approach suggested here might democratize modern bacterial typing, enabling more efficient infection control globally.
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Affiliation(s)
- Gabriel E. Wagner
- Diagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, Graz, Austria
| | - Johanna Dabernig-Heinz
- Diagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, Graz, Austria
| | - Michaela Lipp
- Diagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, Graz, Austria
| | - Adriana Cabal
- Austrian Agency for Health and Food Safety, Vienna, Austria
| | - Jonathan Simantzik
- Medical and Life Sciences Faculty, Furtwangen University, Villingen-Schwenningen, Germany
| | - Matthias Kohl
- Medical and Life Sciences Faculty, Furtwangen University, Villingen-Schwenningen, Germany
| | - Martina Scheiber
- Diagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, Graz, Austria
| | - Sabine Lichtenegger
- Diagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, Graz, Austria
| | - Ralf Ehricht
- InfectoGnostics Research Campus, Centre for Applied Research, Jena, Germany
- Leibniz-Institute of Photonic Technology (Leibniz-IPHT), Jena, Germany
- Friedrich Schiller University Jena, Institute of Physical Chemistry, Jena, Germany
| | - Eva Leitner
- Diagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, Graz, Austria
| | | | - Ivo Steinmetz
- Diagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, Graz, Austria
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Sharaf PH, El Backly RM, Sherif RA, Zaazou AM, Hafez SF. Microbial identification from traumatized immature permanent teeth with periapical lesions using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. BMC Oral Health 2022; 22:661. [PMID: 36587207 PMCID: PMC9805193 DOI: 10.1186/s12903-022-02562-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 11/03/2022] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND This study aims at identifying the microbiota in traumatized immature permanent teeth with periapical lesions using Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). METHODS The study included 16 immature maxillary central incisors with periapical lesions in 13 patients. Field decontamination and negative control samples were performed before and after access cavity preparation. Root canal samples were taken using sterile stainless-steel hand files following field decontamination. In-office inoculation and pure sub-cultures were performed. Bacterial isolates were prepared for MALDI-TOF MS (Bruker, Billerica, MA USA) analysis using the formic acid extraction method. A comparison of the prevalence of isolated microorganisms was done using a one-sample chi-square test. Comparisons between identified microbial species with the, cone beam computed tomography periapical index (CBCT PAI) scores and lesion volume were also conducted. The Chi-square test was applied to investigate the association between the categorical variables . RESULTS Out of the forty isolates recovered from the 16 traumatized teeth included in the present study with the mean patients' age of 10.93 ± 1.77, 37 isolates were reliably identified by MALDI-TOF MS. Twelve teeth (62.5%) were polymicrobial. The recovered bacteria belonged to five phyla, 15 genera and 25 species. Firmicutes were the predominant phylum (P < 0.001) over Bacteroidetes, Proteobacteria, Actinobacteria and Fusobacteria. Gram positive bacteria were significantly more prevalent than Gram negative (p = 0.03). Facultative anaerobes were the most prevalent (P < 0.001) compared to the obligate anaerobes and the obligate aerobes. The latter were the least prevalent. Statistically, significant differences existed in the comparison between CBCT PAI scores according to bacterial gram staining. CONCLUSION Traumatized immature permanent teeth with periapical lesions showed a significant predominance of Gram-positive facultative anaerobes. MALDI-TOF MS provided accurate identification of numerous viable endodontic microbes.
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Affiliation(s)
- Pervine H. Sharaf
- grid.7155.60000 0001 2260 6941Conservative Dentistry Department, Faculty of Dentistry, Alexandria University, Alexandria, Egypt, Endodontic Specialist, Ministry of Health, Alexandria, Egypt
| | - Rania M. El Backly
- grid.7155.60000 0001 2260 6941Endodontics, Conservative Dentistry Department, Faculty of Dentistry, Alexandria University, Alexandria, Egypt
| | - Raef A. Sherif
- grid.7155.60000 0001 2260 6941Endodontics, Conservative Dentistry Department, Faculty of Dentistry, Alexandria University, Alexandria, Egypt
| | - Ashraf M. Zaazou
- grid.7155.60000 0001 2260 6941Endodontics, Conservative Dentistry Department, Faculty of Dentistry, Alexandria University, Alexandria, Egypt ,Faculty of Dentistry, King Abdel Aziz University, Jeddah, Saudi Arabia
| | - Soad F. Hafez
- grid.7155.60000 0001 2260 6941Medical Microbiology and Immunology Department, Faculty of Medicine, Alexandria University, Alexandria, Egypt
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Cavadas J, Parreira R, Leonardo I, Barreto Crespo MT, Nunes M. Mastadenovirus Molecular Diversity in Waste and Environmental Waters from the Lisbon Metropolitan Area. Microorganisms 2022; 10:microorganisms10122443. [PMID: 36557697 PMCID: PMC9783802 DOI: 10.3390/microorganisms10122443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 12/07/2022] [Accepted: 12/08/2022] [Indexed: 12/14/2022] Open
Abstract
In face of the absence of epidemiological data regarding the circulation of human adenoviruses (HAdV) in Portugal, this study aimed at the evaluation of their molecular diversity in waste and environmental waters in the Lisbon Metropolitan Area (LMA). Using samples collected between 2018 and 2021, the HAdV hexon protein-coding sequence was partially amplified using three nested touch-down PCR protocols. The amplification products obtained were analyzed in parallel by two approaches: molecular cloning followed by Sanger sequencing and Next-Generation Sequencing (NGS) using Illumina® sequencing. The analysis of NGS-generated data allowed the identification of a higher diversity of HAdV-A (19%), -B (1%), -C (3%), -D (24%), and -F (25%) viral types, along with murine adenovirus (MAdV-2; 30%) in the wastewater treatment plant samples. On the other hand, HAdV-A (19%), -D (32%), and -F (36%) were identified in environmental samples, and possibly MAdV-2 (14%). These results demonstrate the presence of fecal contamination in environmental waters and the assessment of the diversity of this virus provides important information regarding the distribution of HAdV in LMA, including the detection of HAdV-F41, the most frequently reported in water worldwide.
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Affiliation(s)
- Joana Cavadas
- Instituto de Biologia Experimental e Tecnológica (iBET), Apartado 12, 2781-901 Oeiras, Portugal
| | - Ricardo Parreira
- Unidade de Microbiologia Médica, Instituto de Higiene e Medicina Tropical (IHMT), Universidade Nova de Lisboa (NOVA), Rua da Junqueira No. 100, 1349-008 Lisboa, Portugal
- Global Health and Tropical Medicine (GHTM) Research Centre, 1349-008 Lisboa, Portugal
| | - Inês Leonardo
- Instituto de Biologia Experimental e Tecnológica (iBET), Apartado 12, 2781-901 Oeiras, Portugal
- Instituto de Tecnologia Química e Biológica António Xavier (ITQB), Universidade Nova de Lisboa (NOVA), Av. da República, 2780-157 Oeiras, Portugal
| | - Maria Teresa Barreto Crespo
- Instituto de Biologia Experimental e Tecnológica (iBET), Apartado 12, 2781-901 Oeiras, Portugal
- Instituto de Tecnologia Química e Biológica António Xavier (ITQB), Universidade Nova de Lisboa (NOVA), Av. da República, 2780-157 Oeiras, Portugal
| | - Mónica Nunes
- Instituto de Biologia Experimental e Tecnológica (iBET), Apartado 12, 2781-901 Oeiras, Portugal
- Instituto de Tecnologia Química e Biológica António Xavier (ITQB), Universidade Nova de Lisboa (NOVA), Av. da República, 2780-157 Oeiras, Portugal
- Correspondence: ; Tel.: +351-21-750-0006 (ext. 20134)
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Moustakim H, Mohammadi H, Amine A. Electrochemical DNA Biosensor Based on Immobilization of a Non-Modified ssDNA Using Phosphoramidate-Bonding Strategy and Pencil Graphite Electrode Modified with AuNPs/CB and Self-Assembled Cysteamine Monolayer. SENSORS (BASEL, SWITZERLAND) 2022; 22:9420. [PMID: 36502122 PMCID: PMC9736659 DOI: 10.3390/s22239420] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 11/19/2022] [Accepted: 11/30/2022] [Indexed: 06/17/2023]
Abstract
The present paper describes an alternative approach to the traditionally used covalent immobilization methods that require cost-intensive and complicated chemistry modification of a single-stranded DNA (ssDNA) capture probe. The low-cost pencil graphite electrode (PGE) modified with carbon black (CB) and gold nanoparticles (AuNPs) was used as an electrochemical platform and the non-modified ssDNA was immobilized on a self-assembled cysteamine modified AuNPs/CB-PGE through a phosphoramidate bond between the 5'-terminal phosphate group of ssDNA and the primary amine group of cysteamine. The microRNA-21 was used as a target model in the fabrication of this electrochemical DNA biosensor and the hybridization process with the complementary probe was monitored by differential pulse voltammetry using methylene blue (MB) as an electrochemical hybridization indicator. The decreased reduction peak current of MB shows a good linear correlation with the increased concentration of microRNA-21 target sequences because the MB signal is determined by the amount of exposed guanine bases. The linear range of the fabricated DNA biosensor was from 1.0 × 10-8 to 5.0 × 10-7 M with a detection limit of 1.0 × 10-9 M. These results show that the covalent immobilization of a non-modified ssDNA capture probe through a phosphoramidate-bonding strategy could serve as a cost-effective and versatile approach for the fabrication of DNA biosensors related to a wide range of applications that cover the fields of medical diagnostic and environmental monitoring. The fabricated electrochemical DNA biosensor was used to analyze microRNA-21 in a (spiked) human serum sample and it showed satisfactory and encouraging results as an electrochemical DNA biosensor platform.
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Su W, Jiang L, Lu W, Xie H, Cao Y, Di B, Li Y, Nie K, Wang H, Zhang Z, Xu S. A Serotype-Specific and Multiplex PCR Method for Whole-Genome Sequencing of Dengue Virus Directly from Clinical Samples. Microbiol Spectr 2022; 10:e0121022. [PMID: 36094197 PMCID: PMC9602986 DOI: 10.1128/spectrum.01210-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Accepted: 08/16/2022] [Indexed: 12/30/2022] Open
Abstract
Dengue virus (DENV) is the most globally prevalent member of the genus Flavivirus in the family Flaviviridae, which can be classified into four serotypes. Historically, molecular epidemiological studies of DENV depended on E gene sequencing. The development of next-generation sequencing (NGS) allowed its application to viral whole-genome sequencing (WGS). In this study, we report the improvement of the existing WGS process for DENV by optimizing the primer design procedure, designing serotype-specific primer panels and reducing the sizes of amplicons. A total of 31 DENV-positive serum samples belonging to 4 serotypes and 9 genotypes of DENV were involved in the validation of the primer panels. The threshold cycle (CT) values of these samples ranged from 23.91 to 35.11. The validation results showed that the length of consensus sequences generated at a coverage depth of 20× or more ranged from 10,370 to 10,672 bp, with 100.00% coverage of the open reading frames and 97.34% to 99.52% coverage of the DENV genome. The amplification efficiency varied across amplicons, genotypes, and serotypes of DENVs. These results indicate that the serotype-specific primer panels allow users to obtain the whole genome of DENV directly from clinical samples, providing a universal, rapid, and effective tool for the integration of genomics with dengue surveillance. IMPORTANCE Dengue virus (DENV) is becoming the most globally prevalent arbovirus. The number of people living under the threat of DENV is increasing year by year. With the development of next-generation sequencing (NGS) technology, whole-genome sequencing (WGS) has been more and more widely used in infectious disease surveillance and molecular epidemiological studies. DENV population sequencing by NGS can increase our understanding of the changing epidemiology and evolution of the DENV genome at the molecular level, which demands universal primer panels and combination with NGS platforms. Multiplex PCR with a short-amplicon approach proved superior for amplifying viral genomes from clinical samples, particularly when the viral RNA was present at low concentrations. Additionally, DENV are known for their genetic diversity within serotype groups and geographical regions, so the primer panels we designed focused on universality, which would be useful in future local DENV outbreaks.
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Affiliation(s)
- Wenzhe Su
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
- Institute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Liyun Jiang
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
- Institute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Weizhi Lu
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
- Institute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Huaping Xie
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
- Institute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Yimin Cao
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
- Institute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Biao Di
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
- Institute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Yan Li
- Shandong Center for Disease Control and Prevention, Jinan, China
| | - Kai Nie
- Department of Arboviruses, NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Beijing, China
- State Key Laboratory for Infectious Disease Control and Prevention, Beijing, China
| | - Huanyu Wang
- Department of Arboviruses, NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Beijing, China
- State Key Laboratory for Infectious Disease Control and Prevention, Beijing, China
| | - Zhoubin Zhang
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
- Institute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Songtao Xu
- Department of Arboviruses, NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Beijing, China
- State Key Laboratory for Infectious Disease Control and Prevention, Beijing, China
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11
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Dotolo S, Esposito Abate R, Roma C, Guido D, Preziosi A, Tropea B, Palluzzi F, Giacò L, Normanno N. Bioinformatics: From NGS Data to Biological Complexity in Variant Detection and Oncological Clinical Practice. Biomedicines 2022; 10:biomedicines10092074. [PMID: 36140175 PMCID: PMC9495893 DOI: 10.3390/biomedicines10092074] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 08/12/2022] [Accepted: 08/22/2022] [Indexed: 11/22/2022] Open
Abstract
The use of next-generation sequencing (NGS) techniques for variant detection has become increasingly important in clinical research and in clinical practice in oncology. Many cancer patients are currently being treated in clinical practice or in clinical trials with drugs directed against specific genomic alterations. In this scenario, the development of reliable and reproducible bioinformatics tools is essential to derive information on the molecular characteristics of each patient’s tumor from the NGS data. The development of bioinformatics pipelines based on the use of machine learning and statistical methods is even more relevant for the determination of complex biomarkers. In this review, we describe some important technologies, computational algorithms and models that can be applied to NGS data from Whole Genome to Targeted Sequencing, to address the problem of finding complex cancer-associated biomarkers. In addition, we explore the future perspectives and challenges faced by bioinformatics for precision medicine both at a molecular and clinical level, with a focus on an emerging complex biomarker such as homologous recombination deficiency (HRD).
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Affiliation(s)
- Serena Dotolo
- Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori—IRCCS—Fondazione G. Pascale, 80131 Naples, Italy
| | - Riziero Esposito Abate
- Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori—IRCCS—Fondazione G. Pascale, 80131 Naples, Italy
| | - Cristin Roma
- Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori—IRCCS—Fondazione G. Pascale, 80131 Naples, Italy
| | - Davide Guido
- Bioinformatics Research Core Facility, Gemelli Science and Technology Park (GSTeP), Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo A. Gemelli, 8, 00168 Rome, Italy
| | - Alessia Preziosi
- Bioinformatics Research Core Facility, Gemelli Science and Technology Park (GSTeP), Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo A. Gemelli, 8, 00168 Rome, Italy
| | - Beatrice Tropea
- Bioinformatics Research Core Facility, Gemelli Science and Technology Park (GSTeP), Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo A. Gemelli, 8, 00168 Rome, Italy
| | - Fernando Palluzzi
- Bioinformatics Research Core Facility, Gemelli Science and Technology Park (GSTeP), Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo A. Gemelli, 8, 00168 Rome, Italy
| | - Luciano Giacò
- Bioinformatics Research Core Facility, Gemelli Science and Technology Park (GSTeP), Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo A. Gemelli, 8, 00168 Rome, Italy
| | - Nicola Normanno
- Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori—IRCCS—Fondazione G. Pascale, 80131 Naples, Italy
- Correspondence:
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12
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Wang J, Niu P, Zhang R, Li J, Nie M, Ma X. Current status and capacity of pathogen laboratories in centers for disease control and prevention in China during the COVID-19 pandemic: A nationwide cross-sectional survey. Front Public Health 2022; 10:927318. [PMID: 36033752 PMCID: PMC9404298 DOI: 10.3389/fpubh.2022.927318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Accepted: 07/25/2022] [Indexed: 01/24/2023] Open
Abstract
The pathogen laboratory (p-lab) is the core and primary department of centers for disease control and prevention (CDCs) in China to respond to infectious disease outbreaks such as COVID-19. To understand the current status and capacity of p-labs in Chinese CDCs during the COVID-19 pandemic, we conducted a nationwide cross-sectional survey among 399 respondents from 239 CDCs. Differences in the current status of p-labs in CDCs of provinces, cities, and counties mainly comprised laboratory equipment, IEIs, mastery of personal occupational skills, and maximum detection capacity. Most CDCs reported a lack of staff and funds for personnel, which should be a priority in China's upcoming public health reform. The development of sequencing technologies has received considerable attention in CDCs. These are mainly used to study respiratory viruses such as influenza and SARS-CoV-2. The COVID-19 pandemic has driven development of the CDCs in China, and personnel and funds are considered key factors in improving the detection capacity of CDC p-labs.
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Affiliation(s)
- Ji Wang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China,Chinese Field Epidemiology Training Program, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Peihua Niu
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ruiqing Zhang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jingyi Li
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Mingzhu Nie
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xuejun Ma
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China,Joint Research Centre for Emerging Infectious Diseases and Biosecurity, Chinese Academy of Sciences, Wuhan, China,*Correspondence: Xuejun Ma
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13
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Mostafa-Hedeab G, Allayeh AK, Elhady HA, Eledrdery AY, Mraheil MA, Mostafa A. Viral Eco-Genomic Tools: Development and Implementation for Aquatic Biomonitoring. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19137707. [PMID: 35805367 PMCID: PMC9265447 DOI: 10.3390/ijerph19137707] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Revised: 06/21/2022] [Accepted: 06/21/2022] [Indexed: 12/17/2022]
Abstract
Enteric viruses (EVs) occurrence within aquatic environments varies and leads to significant risk on public health of humans, animals, and diversity of aquatic taxa. Early and efficacious recognition of cultivable and fastidious EVs in aquatic systems are important to ensure the sanitary level of aquatic water and implement required treatment strategies. Herein, we provided a comprehensive overview of the conventional and up-to-date eco-genomic tools for aquatic biomonitoring of EVs, aiming to develop better water pollution monitoring tools. In combination with bioinformatics techniques, genetic tools including cloning sequencing analysis, DNA microarray, next-generation sequencing (NGS), and metagenomic sequencing technologies are implemented to make informed decisions about the global burden of waterborne EVs-associated diseases. The data presented in this review are helpful to recommend that: (1) Each viral pollution detection method has its own merits and demerits; therefore, it would be advantageous for viral pollution evaluation to be integrated as a complementary platform. (2) The total viral genome pool extracted from aquatic environmental samples is a real reflection of pollution status of the aquatic eco-systems; therefore, it is recommended to conduct regular sampling through the year to establish an updated monitoring system for EVs, and quantify viral peak concentrations, viral typing, and genotyping. (3) Despite that conventional detection methods are cheaper, it is highly recommended to implement molecular-based technologies to complement aquatic ecosystems biomonitoring due to numerous advantages including high-throughput capability. (4) Continuous implementation of the eco-genetic detection tools for monitoring the EVs in aquatic ecosystems is recommended.
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Affiliation(s)
- Gomaa Mostafa-Hedeab
- Pharmacology Department and Health Research Unit, Medical College, Jouf University, Skaka 11564, Saudi Arabia
- Correspondence: (G.M.-H.); (M.A.M.); (A.M.)
| | - Abdou Kamal Allayeh
- Water Pollution Department, Virology Laboratory, National Research Centre, Dokki, Giza 12622, Egypt;
| | | | - Abozer Y. Eledrdery
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Jouf University, Sakaka 11564, Saudi Arabia;
| | - Mobarak Abu Mraheil
- German Center for Infection Research (DZIF), Institute of Medical Microbiology, Justus-Liebig University, 35392 Giessen, Germany
- Correspondence: (G.M.-H.); (M.A.M.); (A.M.)
| | - Ahmed Mostafa
- Center of Scientific Excellence for Influenza Viruses, National Research Centre, Giza 12622, Egypt
- Correspondence: (G.M.-H.); (M.A.M.); (A.M.)
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14
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The human "contaminome": bacterial, viral, and computational contamination in whole genome sequences from 1000 families. Sci Rep 2022; 12:9863. [PMID: 35701436 PMCID: PMC9198055 DOI: 10.1038/s41598-022-13269-z] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Accepted: 05/18/2022] [Indexed: 01/11/2023] Open
Abstract
The unmapped readspace of whole genome sequencing data tends to be large but is often ignored. We posit that it contains valuable signals of both human infection and contamination. Using unmapped and poorly aligned reads from whole genome sequences (WGS) of over 1000 families and nearly 5000 individuals, we present insights into common viral, bacterial, and computational contamination that plague whole genome sequencing studies. We present several notable results: (1) In addition to known contaminants such as Epstein-Barr virus and phiX, sequences from whole blood and lymphocyte cell lines contain many other contaminants, likely originating from storage, prep, and sequencing pipelines. (2) Sequencing plate and biological sample source of a sample strongly influence contamination profile. And, (3) Y-chromosome fragments not on the human reference genome commonly mismap to bacterial reference genomes. Both experiment-derived and computational contamination is prominent in next-generation sequencing data. Such contamination can compromise results from WGS as well as metagenomics studies, and standard protocols for identifying and removing contamination should be developed to ensure the fidelity of sequencing-based studies.
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15
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Rotondo JC, Martini F, Maritati M, Caselli E, Gallenga CE, Guarino M, De Giorgio R, Mazziotta C, Tramarin ML, Badiale G, Tognon M, Contini C. Advanced Molecular and Immunological Diagnostic Methods to Detect SARS-CoV-2 Infection. Microorganisms 2022; 10:1193. [PMID: 35744711 PMCID: PMC9231257 DOI: 10.3390/microorganisms10061193] [Citation(s) in RCA: 36] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 06/06/2022] [Accepted: 06/06/2022] [Indexed: 02/06/2023] Open
Abstract
COVID-19 emerged in late 2019 in China and quickly spread across the globe, causing over 521 million cases of infection and 6.26 million deaths to date. After 2 years, numerous advances have been made. First of all, the preventive vaccine, which has been implemented in record time, is effective in more than 95% of cases. Additionally, in the diagnostic field, there are numerous molecular and antigenic diagnostic kits that are equipped with high sensitivity and specificity. Real Time-PCR-based assays for the detection of viral RNA are currently considered the gold-standard method for SARS-CoV-2 diagnosis and can be used efficiently on pooled nasopharyngeal, or oropharyngeal samples for widespread screening. Moreover, additional, and more advanced molecular methods such as droplet-digital PCR (ddPCR), clustered regularly interspaced short palindromic repeats (CRISPR) and next-generation sequencing (NGS), are currently under development to detect the SARS-CoV-2 RNA. However, as the number of subjects infected with SARS-CoV-2 continuously increases globally, health care systems are being placed under increased stress. Thus, the clinical laboratory plays an important role, helping to select especially asymptomatic individuals who are actively carrying the live replicating virus, with fast and non-invasive molecular technologies. Recent diagnostic strategies, other than molecular methods, have been adopted to either detect viral antigens, i.e., antigen-based immunoassays, or human anti-SARS-CoV-2 antibodies, i.e., antibody-based immunoassays, in nasal or oropharyngeal swabs, as well as in blood or saliva samples. However, the role of mucosal sIgAs, which are essential in the control of viruses entering the body through mucosal surfaces, remains to be elucidated, and in particular the role of the immune response in counteracting SARS-CoV-2 infection, primarily at the site(s) of virus entry that appears to be promising.
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Affiliation(s)
- John Charles Rotondo
- Department of Medical Sciences, University of Ferrara, 44121 Ferrara, Italy; (F.M.); (M.M.); (C.E.G.); (C.M.); (M.L.T.); (G.B.); (M.T.)
- Center for Studies on Gender Medicine, Department of Medical Sciences, University of Ferrara, 44121 Ferrara, Italy
| | - Fernanda Martini
- Department of Medical Sciences, University of Ferrara, 44121 Ferrara, Italy; (F.M.); (M.M.); (C.E.G.); (C.M.); (M.L.T.); (G.B.); (M.T.)
- Center for Studies on Gender Medicine, Department of Medical Sciences, University of Ferrara, 44121 Ferrara, Italy
- Laboratory for Technologies of Advanced Therapies (LTTA), University of Ferrara, 44121 Ferrara, Italy
| | - Martina Maritati
- Department of Medical Sciences, University of Ferrara, 44121 Ferrara, Italy; (F.M.); (M.M.); (C.E.G.); (C.M.); (M.L.T.); (G.B.); (M.T.)
- Orthopaedic Ward, Casa di Cura Santa Maria Maddalena, 45030 Occhiobello, Italy
| | - Elisabetta Caselli
- Section of Microbiology, CIAS Research Center and LTTA, Department of Chemical, Pharmaceutical and Agricultural Sciences, University of Ferrara, 44121 Ferrara, Italy;
| | - Carla Enrica Gallenga
- Department of Medical Sciences, University of Ferrara, 44121 Ferrara, Italy; (F.M.); (M.M.); (C.E.G.); (C.M.); (M.L.T.); (G.B.); (M.T.)
| | - Matteo Guarino
- Department of Translational Medicine, St. Anna University Hospital of Ferrara, University of Ferrara, 44124 Ferrara, Italy; (M.G.); (R.D.G.)
| | - Roberto De Giorgio
- Department of Translational Medicine, St. Anna University Hospital of Ferrara, University of Ferrara, 44124 Ferrara, Italy; (M.G.); (R.D.G.)
| | - Chiara Mazziotta
- Department of Medical Sciences, University of Ferrara, 44121 Ferrara, Italy; (F.M.); (M.M.); (C.E.G.); (C.M.); (M.L.T.); (G.B.); (M.T.)
- Center for Studies on Gender Medicine, Department of Medical Sciences, University of Ferrara, 44121 Ferrara, Italy
| | - Maria Letizia Tramarin
- Department of Medical Sciences, University of Ferrara, 44121 Ferrara, Italy; (F.M.); (M.M.); (C.E.G.); (C.M.); (M.L.T.); (G.B.); (M.T.)
| | - Giada Badiale
- Department of Medical Sciences, University of Ferrara, 44121 Ferrara, Italy; (F.M.); (M.M.); (C.E.G.); (C.M.); (M.L.T.); (G.B.); (M.T.)
| | - Mauro Tognon
- Department of Medical Sciences, University of Ferrara, 44121 Ferrara, Italy; (F.M.); (M.M.); (C.E.G.); (C.M.); (M.L.T.); (G.B.); (M.T.)
| | - Carlo Contini
- Department of Medical Sciences, University of Ferrara, 44121 Ferrara, Italy; (F.M.); (M.M.); (C.E.G.); (C.M.); (M.L.T.); (G.B.); (M.T.)
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Wang M, Liu W, Xiong Z, Li Z, Li J, Xu X, Zhang M, Xing M, Ning Q, Wu D, Qi J. Case Report: "Area of Focus" Atypical Trichinellosis and Fascioliasis Coinfection. Front Med (Lausanne) 2022; 9:881356. [PMID: 35646994 PMCID: PMC9132012 DOI: 10.3389/fmed.2022.881356] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 04/19/2022] [Indexed: 11/21/2022] Open
Abstract
Parasitic co-infection is commonly observed in natural populations, yet rare in the laboratory. Multiparasitism can have negative effects on the host, ranging from the atypical manifestations to increased mortality, consequently, it may be misdiagnosed and treated with unsuitable anthelmintic medicines. Therefore, reliable diagnosis is critical for appropriate treatment of parasitic co-infection. Herein, we report a case of a 31-year-old woman with persistent eosinophilia and hypoechoic liver lesion on ultrasound. The microscopic examination of multiple stool specimens did not find any pathogens. The patient had serum specific anti-Trichinella IgG antibody by Dot enzyme-linked immunosorbent assay (Dot-ELISA). After treatment with albendazole, contrast-enhanced magnetic resonance imaging (MRI) revealed more lesions in the liver. Subsequently, liver biopsy was performed in this patient and Fasciola hepatica was identified using metagenomic next-generation sequencing (mNGS) as well as polymerase chain reaction. After treatment with triclabendazole, which is the only anthelmintic drug specifically available against this fluke, her eosinophil count returned normal, and the liver lesions were significantly regressed. This case highlights the diagnostic challenge posed by parasitic co-infection, which merits more in-depth evaluation to confirm the diagnosis.
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Affiliation(s)
- Meng Wang
- Department of Nephrology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wei Liu
- National Medical Center for Major Public Health Events, Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ziman Xiong
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhen Li
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiansha Li
- Department of Pathology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xin Xu
- National Medical Center for Major Public Health Events, Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Meng Zhang
- National Medical Center for Major Public Health Events, Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Mingyou Xing
- National Medical Center for Major Public Health Events, Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qin Ning
- National Medical Center for Major Public Health Events, Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Di Wu
- National Medical Center for Major Public Health Events, Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Junying Qi
- National Medical Center for Major Public Health Events, Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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VPipe: an Automated Bioinformatics Platform for Assembly and Management of Viral Next-Generation Sequencing Data. Microbiol Spectr 2022; 10:e0256421. [PMID: 35234489 PMCID: PMC8941893 DOI: 10.1128/spectrum.02564-21] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Next-generation sequencing (NGS) is a powerful tool for detecting and investigating viral pathogens; however, analysis and management of the enormous amounts of data generated from these technologies remains a challenge. Here, we present VPipe (the Viral NGS Analysis Pipeline and Data Management System), an automated bioinformatics pipeline optimized for whole-genome assembly of viral sequences and identification of diverse species. VPipe automates the data quality control, assembly, and contig identification steps typically performed when analyzing NGS data. Users access the pipeline through a secure web-based portal, which provides an easy-to-use interface with advanced search capabilities for reviewing results. In addition, VPipe provides a centralized system for storing and analyzing NGS data, eliminating common bottlenecks in bioinformatics analyses for public health laboratories with limited on-site computational infrastructure. The performance of VPipe was validated through the analysis of publicly available NGS data sets for viral pathogens, generating high-quality assemblies for 12 data sets. VPipe also generated assemblies with greater contiguity than similar pipelines for 41 human respiratory syncytial virus isolates and 23 SARS-CoV-2 specimens. IMPORTANCE Computational infrastructure and bioinformatics analysis are bottlenecks in the application of NGS to viral pathogens. As of September 2021, VPipe has been used by the U.S. Centers for Disease Control and Prevention (CDC) and 12 state public health laboratories to characterize >17,500 and 1,500 clinical specimens and isolates, respectively. VPipe automates genome assembly for a wide range of viruses, including high-consequence pathogens such as SARS-CoV-2. Such automated functionality expedites public health responses to viral outbreaks and pathogen surveillance.
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Abstract
Conservation research has historically been conducted at the macro level, focusing on animals and plants and their role in the wider ecosystem. However, there is a growing appreciation of the importance of microbial communities in conservation. Most microbiome research in conservation thus far has used amplicon sequencing methods to assess the taxonomic composition of microbial communities and inferred functional capabilities from these data. However, as manipulation of the microbiome as a conservation tool becomes more and more feasible, there is a growing need to understand the direct functional consequences of shifts in microbiome composition. This review outlines the latest advances in microbiome research from a functional perspective and how these data can be used to inform conservation strategies. This review will also consider some of the challenges faced when studying the microbiomes of wild animals and how they can be overcome by careful study design and sampling methods. Environmental changes brought about by climate change or direct human actions have the potential to alter the taxonomic composition of microbiomes in wild populations. Understanding how taxonomic shifts affect the function of microbial communities is important for identifying species most threatened by potential disruption to their microbiome. Preservation or even restoration of these functions has the potential to be a powerful tool in conservation biology and a shift towards functional characterisation of gut microbiome diversity will be an important first step.
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Han T, Cong H, Shen Y, Yu B. Recent advances in detection technologies for COVID-19. Talanta 2021; 233:122609. [PMID: 34215093 PMCID: PMC8196236 DOI: 10.1016/j.talanta.2021.122609] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 06/10/2021] [Indexed: 12/16/2022]
Abstract
Corona Virus Disease 2019 (COVID-19) is a highly infectious respiratory illness that was caused by the SARS-CoV-2. It spread around the world in just a few months and became a worldwide pandemic. Quick and accurate diagnosis of infected patients is very important for controlling transmission. In addition to the commonly used Real-time reverse-transcription polymerase chain reaction (RT-PCR) detection techniques, other diagnostic techniques are also emerging endlessly. This article reviews the current diagnostic methods for COVID-19 and discusses their advantages and disadvantages. It provides an important reference for the diagnosis of COVID-19.
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Affiliation(s)
- Tingting Han
- Institute of Biomedical Materials and Engineering, College of Chemistry and Chemical Engineering, College of Materials Science and Engineering, Qingdao University, Qingdao, 266071, China
| | - Hailin Cong
- Institute of Biomedical Materials and Engineering, College of Chemistry and Chemical Engineering, College of Materials Science and Engineering, Qingdao University, Qingdao, 266071, China; State Key Laboratory of Bio-Fibers and Eco-Textiles, Qingdao University, Qingdao, 266071, China
| | - Youqing Shen
- Institute of Biomedical Materials and Engineering, College of Chemistry and Chemical Engineering, College of Materials Science and Engineering, Qingdao University, Qingdao, 266071, China
| | - Bing Yu
- Institute of Biomedical Materials and Engineering, College of Chemistry and Chemical Engineering, College of Materials Science and Engineering, Qingdao University, Qingdao, 266071, China; State Key Laboratory of Bio-Fibers and Eco-Textiles, Qingdao University, Qingdao, 266071, China.
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Diversity of International High-Risk Clones of Acinetobacter baumannii Revealed in a Russian Multidisciplinary Medical Center during 2017-2019. Antibiotics (Basel) 2021; 10:antibiotics10081009. [PMID: 34439060 PMCID: PMC8389025 DOI: 10.3390/antibiotics10081009] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 08/17/2021] [Accepted: 08/18/2021] [Indexed: 11/16/2022] Open
Abstract
Acinetobacter baumannii is a dangerous bacterial pathogen possessing the ability to persist on various surfaces, especially in clinical settings, and to rapidly acquire the resistance to a broad spectrum of antibiotics. Thus, the epidemiological surveillance of A. baumannii within a particular hospital, region, and across the world is an important healthcare task that currently usually includes performing whole-genome sequencing (WGS) of representative isolates. During the past years, the dissemination of A. baumannii across the world was mainly driven by the strains belonging to two major groups called the global clones or international clones (ICs) of high risk (IC1 and IC2). However, currently nine ICs are already considered. Although some clones were previously thought to spread in particular regions of the world, in recent years this is usually not the case. In this study, we determined five ICs, as well as three isolates not belonging to the major ICs, in one multidisciplinary medical center within the period 2017-2019. We performed WGS using both short- and long-read sequencing technologies of nine representative clinical A. baumannii isolates, which allowed us to determine the antibiotic resistance and virulence genomic determinants, reveal the CRISPR/Cas systems, and obtain the plasmid structures. The phenotypic and genotypic antibiotic resistance profiles are compared, and the possible ways of isolate and resistance spreading are discussed. We believe that the data obtained will provide a better understanding of the spreading and resistance acquisition of the ICs of A. baumannii and further stress the necessity for continuous genomic epidemiology surveillance of this problem-causing bacterial species.
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HPV DeepSeq: An Ultra-Fast Method of NGS Data Analysis and Visualization Using Automated Workflows and a Customized Papillomavirus Database in CLC Genomics Workbench. Pathogens 2021; 10:pathogens10081026. [PMID: 34451490 PMCID: PMC8398645 DOI: 10.3390/pathogens10081026] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 08/09/2021] [Accepted: 08/11/2021] [Indexed: 02/06/2023] Open
Abstract
Next-generation sequencing (NGS) has actualized the human papillomavirus (HPV) virome profiling for in-depth investigation of viral evolution and pathogenesis. However, viral computational analysis remains a bottleneck due to semantic discrepancies between computational tools and curated reference genomes. To address this, we developed and tested automated workflows for HPV taxonomic profiling and visualization using a customized papillomavirus database in the CLC Microbial Genomics Module. HPV genomes from Papilloma Virus Episteme were customized and incorporated into CLC “ready-to-use” workflows for stepwise data processing to include: (1) Taxonomic Analysis, (2) Estimate Alpha/Beta Diversities, and (3) Map Reads to Reference. Low-grade (n = 95) and high-grade (n = 60) Pap smears were tested with ensuing collective runtimes: Taxonomic Analysis (36 min); Alpha/Beta Diversities (5 s); Map Reads (45 min). Tabular output conversion to visualizations entailed 1–2 keystrokes. Biodiversity analysis between low- (LSIL) and high-grade squamous intraepithelial lesions (HSIL) revealed loss of species richness and gain of dominance by HPV-16 in HSIL. Integrating clinically relevant, taxonomized HPV reference genomes within automated workflows proved to be an ultra-fast method of virome profiling. The entire process named “HPV DeepSeq” provides a simple, accurate and practical means of NGS data analysis for a broad range of applications in viral research.
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Ramchandar N, Burns J, Coufal NG, Pennock A, Briggs B, Stinnett R, Bradley J, Arnold J, Liu GY, Pring M, Upasani VV, Rickert K, Dimmock D, Chiu C, Farnaes L, Cannavino C. Use of Metagenomic Next-Generation Sequencing to Identify Pathogens in Pediatric Osteoarticular Infections. Open Forum Infect Dis 2021; 8:ofab346. [PMID: 34322569 PMCID: PMC8314938 DOI: 10.1093/ofid/ofab346] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Accepted: 06/23/2021] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Osteoarticular infections (OAIs) are frequently encountered in children. Treatment may be guided by isolation of a pathogen; however, operative cultures are often negative. Metagenomic next-generation sequencing (mNGS) allows for broad and sensitive pathogen detection that is culture-independent. We sought to evaluate the diagnostic utility of mNGS in comparison to culture and usual care testing to detect pathogens in acute osteomyelitis and/or septic arthritis in children. METHODS This was a single-site study to evaluate the use of mNGS in comparison to culture to detect pathogens in acute pediatric osteomyelitis and/or septic arthritis. Subjects admitted to a tertiary children's hospital with suspected OAI were eligible for enrollment. We excluded subjects with bone or joint surgery within 30 days of admission or with chronic osteomyelitis. Operative samples were obtained at the surgeon's discretion per standard care (fluid or tissue) and based on imaging and operative findings. We compared mNGS to culture and usual care testing (culture and polymerase chain reaction [PCR]) from the same site. RESULTS We recruited 42 subjects over the enrollment period. mNGS of the operative samples identified a pathogen in 26 subjects compared to 19 subjects in whom culture identified a pathogen. In 4 subjects, mNGS identified a pathogen where combined usual care testing (culture and PCR) was negative. Positive predictive agreement and negative predictive agreement both were 93.0% for mNGS. CONCLUSIONS In this single-site prospective study of pediatric OAI, we demonstrated the diagnostic utility of mNGS testing in comparison to culture and usual care (culture and PCR) from operative specimens.
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Affiliation(s)
- Nanda Ramchandar
- Pediatric Infectious Disease, University of California, San Diego, San Diego, California, USA
| | - Jessica Burns
- Pediatric Orthopedics, University of California, San Diego, San Diego, California, USA
| | - Nicole G Coufal
- Pediatric Critical Care, University of California, San Diego, San Diego, California, USA
| | - Andrew Pennock
- Pediatric Orthopedics, University of California, San Diego, San Diego, California, USA
| | | | | | - John Bradley
- Pediatric Infectious Disease, University of California, San Diego, San Diego, California, USA
| | - John Arnold
- Pediatric Infectious Disease, University of California, San Diego, San Diego, California, USA
| | - George Y Liu
- Pediatric Infectious Disease, University of California, San Diego, San Diego, California, USA
| | - Maya Pring
- Pediatric Orthopedics, University of California, San Diego, San Diego, California, USA
| | - Vidyadhar V Upasani
- Pediatric Orthopedics, University of California, San Diego, San Diego, California, USA
| | - Kathleen Rickert
- Pediatric Orthopedics, University of California, San Diego, San Diego, California, USA
| | - David Dimmock
- Rady Children’s Institute for Genomic Medicine, San Diego, California, USA
| | - Charles Chiu
- Division of Infectious Diseases, Department of Medicine, University of California, San Francisco, San Francisco, California, USA
| | - Lauge Farnaes
- Pediatric Infectious Disease, University of California, San Diego, San Diego, California, USA
- IDbyDNA, Salt Lake City, Utah, USA
| | - Christopher Cannavino
- Pediatric Infectious Disease, University of California, San Diego, San Diego, California, USA
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New evaluation methods of read mapping by 17 aligners on simulated and empirical NGS data: an updated comparison of DNA- and RNA-Seq data from Illumina and Ion Torrent technologies. Neural Comput Appl 2021; 33:15669-15692. [PMID: 34155424 PMCID: PMC8208613 DOI: 10.1007/s00521-021-06188-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Accepted: 06/02/2021] [Indexed: 12/13/2022]
Abstract
During the last (15) years, improved omics sequencing technologies have expanded the scale and resolution of various biological applications, generating high-throughput datasets that require carefully chosen software tools to be processed. Therefore, following the sequencing development, bioinformatics researchers have been challenged to implement alignment algorithms for next-generation sequencing reads. However, nowadays selection of aligners based on genome characteristics is poorly studied, so our benchmarking study extended the “state of art” comparing 17 different aligners. The chosen tools were assessed on empirical human DNA- and RNA-Seq data, as well as on simulated datasets in human and mouse, evaluating a set of parameters previously not considered in such kind of benchmarks. As expected, we found that each tool was the best in specific conditions. For Ion Torrent single-end RNA-Seq samples, the most suitable aligners were CLC and BWA-MEM, which reached the best results in terms of efficiency, accuracy, duplication rate, saturation profile and running time. About Illumina paired-end osteomyelitis transcriptomics data, instead, the best performer algorithm, together with the already cited CLC, resulted Novoalign, which excelled in accuracy and saturation analyses. Segemehl and DNASTAR performed the best on both DNA-Seq data, with Segemehl particularly suitable for exome data. In conclusion, our study could guide users in the selection of a suitable aligner based on genome and transcriptome characteristics. However, several other aspects, emerged from our work, should be considered in the evolution of alignment research area, such as the involvement of artificial intelligence to support cloud computing and mapping to multiple genomes.
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Ding W, Nayak J, Swapnarekha H, Abraham A, Naik B, Pelusi D. Fusion of intelligent learning for COVID-19: A state-of-the-art review and analysis on real medical data. Neurocomputing 2021; 457:40-66. [PMID: 34149184 PMCID: PMC8206574 DOI: 10.1016/j.neucom.2021.06.024] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Revised: 06/02/2021] [Accepted: 06/11/2021] [Indexed: 12/11/2022]
Abstract
The unprecedented surge of a novel coronavirus in the month of December 2019, named as COVID-19 by the World Health organization has caused a serious impact on the health and socioeconomic activities of the public all over the world. Since its origin, the number of infected and deceased cases has been growing exponentially in almost all the affected countries of the world. The rapid spread of the novel coronavirus across the world results in the scarcity of medical resources and overburdened hospitals. As a result, the researchers and technocrats are continuously working across the world for the inculcation of efficient strategies which may assist the government and healthcare system in controlling and managing the spread of the COVID-19 pandemic. Therefore, this study provides an extensive review of the ongoing strategies such as diagnosis, prediction, drug and vaccine development and preventive measures used in combating the COVID-19 along with technologies used and limitations. Moreover, this review also provides a comparative analysis of the distinct type of data, emerging technologies, approaches used in diagnosis and prediction of COVID-19, statistics of contact tracing apps, vaccine production platforms used in the COVID-19 pandemic. Finally, the study highlights some challenges and pitfalls observed in the systematic review which may assist the researchers to develop more efficient strategies used in controlling and managing the spread of COVID-19.
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Affiliation(s)
- Weiping Ding
- School of Information Science and Technology, Nantong University, China
| | - Janmenjoy Nayak
- Aditya Institute of Technology and Management (AITAM), India
| | - H Swapnarekha
- Aditya Institute of Technology and Management (AITAM), India
- Veer Surendra Sai University of Technology, India
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25
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Manyana S, Gounder L, Pillay M, Manasa J, Naidoo K, Chimukangara B. HIV-1 Drug Resistance Genotyping in Resource Limited Settings: Current and Future Perspectives in Sequencing Technologies. Viruses 2021; 13:1125. [PMID: 34208165 PMCID: PMC8230827 DOI: 10.3390/v13061125] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 05/27/2021] [Accepted: 05/31/2021] [Indexed: 12/14/2022] Open
Abstract
Affordable, sensitive, and scalable technologies are needed for monitoring antiretroviral treatment (ART) success with the goal of eradicating HIV-1 infection. This review discusses use of Sanger sequencing and next generation sequencing (NGS) methods for HIV-1 drug resistance (HIVDR) genotyping, focusing on their use in resource limited settings (RLS). Sanger sequencing remains the gold-standard method for detecting HIVDR mutations of clinical relevance but is mainly limited by high sequencing costs and low-throughput. NGS is becoming a more common sequencing method, with the ability to detect low-abundance drug-resistant variants and reduce per sample costs through sample pooling and massive parallel sequencing. However, use of NGS in RLS is mainly limited by infrastructure costs. Given these shortcomings, our review discusses sequencing technologies for HIVDR genotyping, focusing on common in-house and commercial assays, challenges with Sanger sequencing in keeping up with changes in HIV-1 treatment programs, as well as challenges with NGS that limit its implementation in RLS and in clinical diagnostics. We further discuss knowledge gaps and offer recommendations on how to overcome existing barriers for implementing HIVDR genotyping in RLS, to make informed clinical decisions that improve quality of life for people living with HIV.
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Affiliation(s)
- Sontaga Manyana
- National Health Laboratory Service, Department of Virology, School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban 4058, South Africa; (L.G.); (M.P.); (B.C.)
| | - Lilishia Gounder
- National Health Laboratory Service, Department of Virology, School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban 4058, South Africa; (L.G.); (M.P.); (B.C.)
| | - Melendhran Pillay
- National Health Laboratory Service, Department of Virology, School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban 4058, South Africa; (L.G.); (M.P.); (B.C.)
| | - Justen Manasa
- Department of Laboratory Medicine and Investigative Sciences, Faculty of Medicine and Health Sciences, University of Zimbabwe, Harare, Zimbabwe;
| | - Kogieleum Naidoo
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban 4013, South Africa;
- South African Medical Research Council (SAMRC), CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Durban 4013, South Africa
| | - Benjamin Chimukangara
- National Health Laboratory Service, Department of Virology, School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban 4058, South Africa; (L.G.); (M.P.); (B.C.)
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban 4013, South Africa;
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Beukers AG, Jenkins F, van Hal SJ. Centralised or Localised Pathogen Whole Genome Sequencing: Lessons Learnt From Implementation in a Clinical Diagnostic Laboratory. Front Cell Infect Microbiol 2021; 11:636290. [PMID: 34094996 PMCID: PMC8169965 DOI: 10.3389/fcimb.2021.636290] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 04/14/2021] [Indexed: 12/29/2022] Open
Abstract
Whole genome sequencing (WGS) has had widespread use in the management of microbial outbreaks in a public health setting. Current models encompass sending isolates to a central laboratory for WGS who then produce a report for various levels of government. This model, although beneficial, has multiple shortcomings especially for localised infection control interventions and patient care. One reason for the slow rollout of WGS in clinical diagnostic laboratories has been the requirement for professionally trained personal in both wet lab techniques and in the analysis and interpretation of data, otherwise known as bioinformatics. A further bottleneck has been establishment of regulations in order to certify clinical and technical validity and demonstrate WGS as a verified diagnostic test. Nevertheless, this technology is far superior providing information that would normally require several diagnostic tests to achieve. An obvious barrier to informed outbreak tracking is turnaround time and requires isolates to be sequenced in real-time to rapidly identify chains of transmission. One way this can be achieved is through onsite hospital sequencing with a cumulative analysis approach employed. Onsite, as opposed to centralised sequencing, has added benefits including the increased agility to combine with local infection control staff to iterate through the data, finding links that aide in understanding transmission chains and inform infection control strategies. Our laboratory has recently instituted a pathogen WGS service within a diagnostic laboratory, separate to a public health laboratory. We describe our experience, address the challenges faced and demonstrate the advantages of de-centralised sequencing through real-life scenarios.
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Affiliation(s)
- Alicia G Beukers
- Department of Microbiology and Infectious Diseases, Royal Prince Alfred Hospital, Sydney, NSW, Australia
| | - Frances Jenkins
- Department of Microbiology and Infectious Diseases, Royal Prince Alfred Hospital, Sydney, NSW, Australia
| | - Sebastiaan J van Hal
- Department of Microbiology and Infectious Diseases, Royal Prince Alfred Hospital, Sydney, NSW, Australia.,Faculty of Medicine, University of Sydney, Sydney, NSW, Australia
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27
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Bhat SV, Price JDW, Dahms TES. AFM-Based Correlative Microscopy Illuminates Human Pathogens. Front Cell Infect Microbiol 2021; 11:655501. [PMID: 34026660 PMCID: PMC8138568 DOI: 10.3389/fcimb.2021.655501] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Accepted: 04/08/2021] [Indexed: 12/25/2022] Open
Abstract
Microbes have an arsenal of virulence factors that contribute to their pathogenicity. A number of challenges remain to fully understand disease transmission, fitness landscape, antimicrobial resistance and host heterogeneity. A variety of tools have been used to address diverse aspects of pathogenicity, from molecular host-pathogen interactions to the mechanisms of disease acquisition and transmission. Current gaps in our knowledge include a more direct understanding of host-pathogen interactions, including signaling at interfaces, and direct phenotypic confirmation of pathogenicity. Correlative microscopy has been gaining traction to address the many challenges currently faced in biomedicine, in particular the combination of optical and atomic force microscopy (AFM). AFM, generates high-resolution surface topographical images, and quantifies mechanical properties at the pN scale under physiologically relevant conditions. When combined with optical microscopy, AFM probes pathogen surfaces and their physical and molecular interaction with host cells, while the various modes of optical microscopy view internal cellular responses of the pathogen and host. Here we review the most recent advances in our understanding of pathogens, recent applications of AFM to the field, how correlative AFM-optical microspectroscopy and microscopy have been used to illuminate pathogenicity and how these methods can reach their full potential for studying host-pathogen interactions.
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Affiliation(s)
- Supriya V Bhat
- Department of Chemistry and Biochemistry, University of Regina, Regina, SK, Canada
| | - Jared D W Price
- Department of Chemistry and Biochemistry, University of Regina, Regina, SK, Canada
| | - Tanya E S Dahms
- Department of Chemistry and Biochemistry, University of Regina, Regina, SK, Canada
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28
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Saracino IM, Pavoni M, Zullo A, Fiorini G, Lazzarotto T, Borghi C, Vaira D. Next Generation Sequencing for the Prediction of the Antibiotic Resistance in Helicobacter pylori: A Literature Review. Antibiotics (Basel) 2021; 10:437. [PMID: 33919811 PMCID: PMC8070836 DOI: 10.3390/antibiotics10040437] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 04/08/2021] [Accepted: 04/13/2021] [Indexed: 12/12/2022] Open
Abstract
Background and aims: Only a few antimicrobials are effective against H. pylori, and antibiotic resistance is an increasing problem for eradication therapies. In 2017, the World Health Organization categorized clarithromycin resistant H. pylori as a "high-priority" bacterium. Standard antimicrobial susceptibility testing can be used to prescribe appropriate therapies but is currently recommended only after the second therapeutic failure. H. pylori is, in fact, a "fastidious" microorganism; culture methods are time-consuming and technically challenging. The advent of molecular biology techniques has enabled the identification of molecular mechanisms underlying the observed phenotypic resistance to antibiotics in H. pylori. The aim of this literature review is to summarize the results of original articles published in the last ten years, regarding the use of Next Generation Sequencing, in particular of the whole genome, to predict the antibiotic resistance in H. pylori.Methods: a literature research was made on PubMed. The research was focused on II and III generation sequencing of the whole H. pylori genome. Results: Next Generation Sequencing enabled the detection of novel, rare and complex resistance mechanisms. The prediction of resistance to clarithromycin, levofloxacin and amoxicillin is accurate; for other antimicrobials, such as metronidazole, rifabutin and tetracycline, potential genetic determinants of the resistant status need further investigation.
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Affiliation(s)
- Ilaria Maria Saracino
- Microbiology Unit, Department of Specialized, Experimental, and Diagnostic Medicine, IRCCS St. Orsola Polyclinic, University of Bologna, 40138 Bologna, Italy; (I.M.S.); (T.L.)
| | - Matteo Pavoni
- Department of Medical and Surgical Sciences, IRCCS St. Orsola Polyclinic, University of Bologna, 40138 Bologna, Italy; (M.P.); (G.F.); (C.B.)
| | - Angelo Zullo
- Gastroenterology and Digestive Endoscopy, ‘Nuovo Regina Margherita’ Hospital, 00153 Rome, Italy;
| | - Giulia Fiorini
- Department of Medical and Surgical Sciences, IRCCS St. Orsola Polyclinic, University of Bologna, 40138 Bologna, Italy; (M.P.); (G.F.); (C.B.)
| | - Tiziana Lazzarotto
- Microbiology Unit, Department of Specialized, Experimental, and Diagnostic Medicine, IRCCS St. Orsola Polyclinic, University of Bologna, 40138 Bologna, Italy; (I.M.S.); (T.L.)
| | - Claudio Borghi
- Department of Medical and Surgical Sciences, IRCCS St. Orsola Polyclinic, University of Bologna, 40138 Bologna, Italy; (M.P.); (G.F.); (C.B.)
| | - Dino Vaira
- Department of Medical and Surgical Sciences, IRCCS St. Orsola Polyclinic, University of Bologna, 40138 Bologna, Italy; (M.P.); (G.F.); (C.B.)
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Detection and Typing of Human Enteroviruses from Clinical Samples by Entire-Capsid Next Generation Sequencing. Viruses 2021; 13:v13040641. [PMID: 33918088 PMCID: PMC8070635 DOI: 10.3390/v13040641] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 03/31/2021] [Accepted: 04/06/2021] [Indexed: 12/27/2022] Open
Abstract
There are increasing concerns of infections by enteroviruses (EVs) causing severe disease in humans. EV diagnostic laboratory methods show differences in sensitivity and specificity as well as the level of genetic information provided. We examined a detection method for EVs based on next generation sequencing (NGS) analysis of amplicons covering the entire capsid coding region directly synthesized from clinical samples. One hundred and twelve clinical samples from England; previously shown to be positive for EVs, were analyzed. There was high concordance between the results obtained by the new NGS approach and those from the conventional Sanger method used originally with agreement in the serotypes identified in the 83 samples that were typed by both methods. The sensitivity and specificity of the NGS method compared to those of the conventional Sanger sequencing typing assay were 94.74% (95% confidence interval, 73.97% to 99.87%) and 97.85% (92.45% to 99.74%) for Enterovirus A, 93.75% (82.80% to 98.69%) and 89.06% (78.75% to 95.49%) for Enterovirus B, 100% (59.04% to 100%) and 98.10% (93.29% to 99.77%) for Enterovirus C, and 100% (75.29% to 100%) and 100% (96.34% to 100%) for Enterovirus D. The NGS method identified five EVs in previously untyped samples as well as additional viruses in some samples, indicating co-infection. This method can be easily expanded to generate whole-genome EV sequences as we show here for EV-D68. Information from capsid and whole-genome sequences is critical to help identifying the genetic basis for changes in viral properties and establishing accurate spatial-temporal associations between EV strains of public health relevance.
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30
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Ferreira FA, Helmersen K, Visnovska T, Jørgensen SB, Aamot HV. Rapid nanopore-based DNA sequencing protocol of antibiotic-resistant bacteria for use in surveillance and outbreak investigation. Microb Genom 2021; 7:000557. [PMID: 33885360 PMCID: PMC8208686 DOI: 10.1099/mgen.0.000557] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Accepted: 03/13/2021] [Indexed: 01/18/2023] Open
Abstract
Outbreak investigations are essential to control and prevent the dissemination of pathogens. This study developed and validated a complete analysis protocol for faster and more accurate surveillance and outbreak investigations of antibiotic-resistant microbes based on Oxford Nanopore Technologies (ONT) DNA whole-genome sequencing. The protocol was developed using 42 methicillin-resistant Staphylococcus aureus (MRSA) isolates identified from former well-characterized outbreaks. The validation of the protocol was performed using Illumina technology (MiSeq, Illumina). Additionally, a real-time outbreak investigation of six clinical S. aureus isolates was conducted to test the ONT-based protocol. The suggested protocol includes: (1) a 20 h sequencing run; (2) identification of the sequence type (ST); (3) de novo genome assembly; (4) polishing of the draft genomes; and (5) phylogenetic analysis based on SNPs. After the sequencing run, it was possible to identify the ST in 2 h (20 min per isolate). Assemblies were achieved after 4 h (40 min per isolate) while the polishing was carried out in 7 min per isolate (42 min in total). The phylogenetic analysis took 0.6 h to confirm an outbreak. Overall, the developed protocol was able to at least discard an outbreak in 27 h (mean) after the bacterial identification and less than 33 h to confirm it. All these estimated times were calculated considering the average time for six MRSA isolates per sequencing run. During the real-time S. aureus outbreak investigation, the protocol was able to identify two outbreaks in less than 31 h. The suggested protocol enables identification of outbreaks in early stages using a portable and low-cost device along with a streamlined downstream analysis, therefore having the potential to be incorporated in routine surveillance analysis workflows. In addition, further analysis may include identification of virulence and antibiotic resistance genes for improved pathogen characterization.
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Affiliation(s)
- Fabienne Antunes Ferreira
- Department of Microbiology, Immunology and Parasitology, Federal University of Santa Catarina, Florianópolis, Brazil
- Department of Microbiology and Infection Control, Akershus University Hospital, Lørenskog, Norway
| | - Karin Helmersen
- Department of Microbiology and Infection Control, Akershus University Hospital, Lørenskog, Norway
- Department of Clinical Molecular Biology (Epigen), Akershus University Hospital and University of Oslo, Lørenskog, Norway
| | - Tina Visnovska
- Bioinformatics Core Facility, Oslo University Hospital Radium, Oslo, Norway
| | - Silje Bakken Jørgensen
- Department of Microbiology and Infection Control, Akershus University Hospital, Lørenskog, Norway
| | - Hege Vangstein Aamot
- Department of Microbiology and Infection Control, Akershus University Hospital, Lørenskog, Norway
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31
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Fang Y, Zhao J, Wang X, Wang X, Wang L, Liu L, Liu J, Gao M, Yuan C. Identification of differentially expressed lncRNAs as potential plasma biomarkers for active tuberculosis. Tuberculosis (Edinb) 2021; 128:102065. [PMID: 33690081 DOI: 10.1016/j.tube.2021.102065] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 02/15/2021] [Accepted: 02/17/2021] [Indexed: 12/20/2022]
Abstract
BACKGROUND Tuberculosis, one of the deadliest infectious diseases worldwide, is difficult to diagnose. As long noncoding RNAs (lncRNAs) were demonstrated to be promising biomarkers, we aimed to identify lncRNAs in plasma as potential biomarkers for tuberculosis. METHODS We analyzed a GEO dataset (GSE94907) to identify the differential lncRNAs in serum exosomes between active tuberculosis (ATB) patients and healthy controls. To search for promising candidates that can be used for tuberculosis diagnosis, we excluded low-abundance lncRNAs using a cutoff value of FPKM >5. Four lncRNAs were selected for validation using real-time quantitative PCR in 69 ATB patients and 69 healthy individuals. A receiver operating characteristic (ROC) curve was constructed to evaluate the diagnostic value of these lncRNAs for ATB. RESULTS Integrated analysis of the GEO dataset and NONCODE database identified nine dysregulated lncRNAs in ATB patient serum exosomes. Compared with the heathy controls, NONHSAT101518.2, NONHSAT067134.2, NONHSAT148822.1 and NONHSAT078957.2 were significantly downregulated in ATB patient plasma. ROC curve analysis suggests that these four lncRNAs can discriminate ATB from healthy individuals with high specificity and sensitivity. CONCLUSION We identified four differentially expressed lncRNAs in ATB patient plasma that can be used as potential diagnostic biomarkers of ATB.
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Affiliation(s)
- Yalun Fang
- Department of Clinical Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, 250033, Jinan, Shandong, People's Republic of China; Department of Clinical Laboratory, Qilu Hospital of Shandong University (Qingdao), 266000, Qingdao, Shandong, People's Republic of China.
| | - Jingjie Zhao
- Department of Clinical Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, 250033, Jinan, Shandong, People's Republic of China.
| | - Xiaoyan Wang
- Department of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, 250021, Jinan, Shandong, People's Republic of China.
| | - Xinfeng Wang
- Department of Lab Medicine, Shandong Provincial Chest Hospital, 250013, Jinan, Shandong, People's Republic of China.
| | - Li Wang
- Department of Clinical Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, 250033, Jinan, Shandong, People's Republic of China.
| | - Ling Liu
- Department of Clinical Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, 250033, Jinan, Shandong, People's Republic of China.
| | - Junli Liu
- Department of Clinical Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, 250033, Jinan, Shandong, People's Republic of China.
| | - Meng Gao
- Department of Clinical Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, 250033, Jinan, Shandong, People's Republic of China.
| | - Chao Yuan
- Department of Clinical Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, 250033, Jinan, Shandong, People's Republic of China.
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Chakraborty T, Barbuddhe SB. Enabling One Health solutions through genomics. Indian J Med Res 2021; 153:273-279. [PMID: 33906989 PMCID: PMC8204826 DOI: 10.4103/ijmr.ijmr_576_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Indexed: 12/02/2022] Open
Affiliation(s)
- Trinad Chakraborty
- Institute for Medical Microbiology, Faculty of Medicine, Justus-Liebig University Giessen, Schubertstraße 81, 35392 Giessen, Germany
| | - Sukhadeo B. Barbuddhe
- Department of Meat Safety, ICAR-National Research Centre on Meat, Chengicherla, Boduppal P.O., Hyderabad 500 092, Telangana, India
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Fung CK, Li T, Pollett S, Alera MT, Yoon IK, Hang J, Macareo L, Srikiatkhachorn A, Ellison D, Rothman AL, Fernandez S, Jarman RG, Maljkovic Berry I. Effect of low-passage number on dengue consensus genomes and intra-host variant frequencies. J Gen Virol 2021; 102:001553. [PMID: 33591246 PMCID: PMC8515859 DOI: 10.1099/jgv.0.001553] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Accepted: 12/22/2020] [Indexed: 12/19/2022] Open
Abstract
Intra-host single nucleotide variants (iSNVs) have been increasingly used in genomic epidemiology to increase phylogenetic resolution and reconstruct fine-scale outbreak dynamics. These analyses are preferably done on sequence data from direct clinical samples, but in many cases due to low viral loads, there might not be enough genetic material for deep sequencing and iSNV determination. Isolation of the virus from clinical samples with low-passage number increases viral load, but few studies have investigated how dengue virus (DENV) culture isolation from a clinical sample impacts the consensus sequence and the intra-host virus population frequencies. In this study, we investigate consensus and iSNV frequency differences between DENV sequenced directly from clinical samples and their corresponding low-passage isolates. Twenty five DENV1 and DENV2 positive sera and their corresponding viral isolates (T. splendens inoculation and C6/36 passage) were obtained from a prospective cohort study in the Philippines. These were sequenced on MiSeq with minimum nucleotide depth of coverage of 500×, and iSNVs were detected using LoFreq. For both DENV1 and DENV2, we found a maximum of one consensus nucleotide difference between clinical sample and isolate. Interestingly, we found that iSNVs with frequencies ≥5 % were often preserved between the samples, and that the number of iSNV positions, and sample diversity, at this frequency cutoff did not differ significantly between the sample pairs (clinical sample and isolate) in either DENV1 or DENV2 data. Our results show that low-passage DENV isolate consensus genomes are largely representative of their direct sample parental viruses, and that low-passage isolates often mirror high frequency within-host variants from direct samples.
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Affiliation(s)
| | - Tao Li
- Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Simon Pollett
- Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | | | - In-Kyu Yoon
- Coalition for Epidemic Preparedness Innovations, Washington, DC, USA
| | - Jun Hang
- Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand
| | - Louis Macareo
- Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand
| | - Anon Srikiatkhachorn
- Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand
- University of Rhode Island, Kingston, RI, USA
| | - Damon Ellison
- Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | | | - Stefan Fernandez
- Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand
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Hao SP, Masters EA, Ninomiya MJ, Beck CA, Schwarz EM, Daiss JL, Oh I. Species-Specific Immunoassay Aids Identification of Pathogen and Tracks Infectivity in Foot Infection. Foot Ankle Int 2021; 42:363-372. [PMID: 33161780 PMCID: PMC7946706 DOI: 10.1177/1071100720965136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
BACKGROUND Conventional bacterial cultures frequently fail to identify the dominant pathogen in polymicrobial foot infections, in which Staphylococcus aureus is the most common infecting pathogen. Previous work has shown that species-specific immunoassays may be able to identify the main pathogen in musculoskeletal infections. We sought to investigate the clinical applicability of a S. aureus immunoassay to accurately identify the infecting pathogen and monitor its infectivity longitudinally in foot infection. We hypothesized that this species-specific immunoassay could aid in the diagnosis of S. aureus and track the therapeutic response in foot infections. METHODS From July 2015 to July 2019, 83 infected foot ulcer patients undergoing surgical intervention (debridement or amputation) were recruited and blood was drawn at 0, 4, 8, and 12 weeks. Whole blood was analyzed for S. aureus-specific serum antibodies (mix of historic and new antibodies) and plasmablasts were isolated and cultured to quantify titers of newly synthesized antibodies (NSAs). Anti-S. aureus antibody titers were compared with culture results to assess their concordance in identifying S. aureus as the pathogen. The NSA titer changes at follow-ups were compared with wound healing status to evaluate concordance between evolving host immune response and clinically resolving or relapsing infection. RESULTS Analysis of serum for anti-S. aureus antibodies showed significantly increased titers of 3 different anti-S. aureus antibodies, IsdH (P = .037), ClfB (P = .025), and SCIN (P = .005), in S. aureus culture-positive patients compared with culture-negative patients. Comparative analysis of combining antigens for S. aureus infection diagnosis increased the concordance further. During follow-up, changes of NSA titers against a single or combination of S. aureus antigens significantly correlated with clinically resolving or recurring infection represented by wound healing status. CONCLUSION In the management of foot infection, the use of S. aureus-specific immunoassay may aid in diagnosis of the dominant pathogen and monitoring of the host immune response against a specific pathogen in response to treatment. Importantly, this immunoassay could detect recurrent foot infection, which may guide a surgeon's decision to intervene. LEVEL OF EVIDENCE Level II, prospective comparative study.
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Affiliation(s)
- Stephanie P. Hao
- Center for Musculoskeletal Research, University of Rochester Medical Center, Rochester, NY, USA
| | - Elysia A. Masters
- Center for Musculoskeletal Research, University of Rochester Medical Center, Rochester, NY, USA,Department of Biomedical Engineering, University of Rochester Medical Center, Rochester, NY, USA
| | - Mark J. Ninomiya
- Center for Musculoskeletal Research, University of Rochester Medical Center, Rochester, NY, USA
| | - Christopher A. Beck
- Department of Biostatistics and Computational Biology, University of Rochester, Rochester, NY, USA
| | - Edward M. Schwarz
- Center for Musculoskeletal Research, University of Rochester Medical Center, Rochester, NY, USA,Department of Biomedical Engineering, University of Rochester Medical Center, Rochester, NY, USA,Department of Orthopaedics and Rehabilitation, University of Rochester Medical Center, Rochester, NY, USA
| | - John L. Daiss
- Center for Musculoskeletal Research, University of Rochester Medical Center, Rochester, NY, USA,Department of Orthopaedics and Rehabilitation, University of Rochester Medical Center, Rochester, NY, USA
| | - Irvin Oh
- Center for Musculoskeletal Research, University of Rochester Medical Center, Rochester, NY, USA,Department of Orthopaedics and Rehabilitation, University of Rochester Medical Center, Rochester, NY, USA
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35
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Rentschler S, Kaiser L, Deigner HP. Emerging Options for the Diagnosis of Bacterial Infections and the Characterization of Antimicrobial Resistance. Int J Mol Sci 2021; 22:E456. [PMID: 33466437 PMCID: PMC7796476 DOI: 10.3390/ijms22010456] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Revised: 12/21/2020] [Accepted: 12/29/2020] [Indexed: 02/06/2023] Open
Abstract
Precise and rapid identification and characterization of pathogens and antimicrobial resistance patterns are critical for the adequate treatment of infections, which represent an increasing problem in intensive care medicine. The current situation remains far from satisfactory in terms of turnaround times and overall efficacy. Application of an ineffective antimicrobial agent or the unnecessary use of broad-spectrum antibiotics worsens the patient prognosis and further accelerates the generation of resistant mutants. Here, we provide an overview that includes an evaluation and comparison of existing tools used to diagnose bacterial infections, together with a consideration of the underlying molecular principles and technologies. Special emphasis is placed on emerging developments that may lead to significant improvements in point of care detection and diagnosis of multi-resistant pathogens, and new directions that may be used to guide antibiotic therapy.
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Affiliation(s)
- Simone Rentschler
- Institute of Precision Medicine, Furtwangen University, Jakob-Kienzle-Straße 17, 78054 VS-Schwenningen, Germany; (S.R.); (L.K.)
- Department of Pharmaceutical and Medicinal Chemistry, Institute of Pharmaceutical Sciences, Eberhard Karls University Tübingen, Auf der Morgenstelle 8, 72076 Tübingen, Germany
| | - Lars Kaiser
- Institute of Precision Medicine, Furtwangen University, Jakob-Kienzle-Straße 17, 78054 VS-Schwenningen, Germany; (S.R.); (L.K.)
- Institute of Pharmaceutical Sciences, University of Freiburg, Albertstraße 25, 79104 Freiburg i. Br., Germany
| | - Hans-Peter Deigner
- Institute of Precision Medicine, Furtwangen University, Jakob-Kienzle-Straße 17, 78054 VS-Schwenningen, Germany; (S.R.); (L.K.)
- EXIM Department, Fraunhofer Institute IZI (Leipzig), Schillingallee 68, 18057 Rostock, Germany
- Faculty of Science, Tuebingen University, Auf der Morgenstelle 8, 72076 Tübingen, Germany
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36
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Maljkovic Berry I, Rutvisuttinunt W, Voegtly LJ, Prieto K, Pollett S, Cer RZ, Kugelman JR, Bishop-Lilly KA, Morton L, Waitumbi J, Jarman RG. A Department of Defense Laboratory Consortium Approach to Next Generation Sequencing and Bioinformatics Training for Infectious Disease Surveillance in Kenya. Front Genet 2020; 11:577563. [PMID: 33101395 PMCID: PMC7546821 DOI: 10.3389/fgene.2020.577563] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Accepted: 08/31/2020] [Indexed: 11/30/2022] Open
Abstract
Epidemics of emerging and re-emerging infectious diseases are a danger to civilian and military populations worldwide. Health security and mitigation of infectious disease threats is a priority of the United States Government and the Department of Defense (DoD). Next generation sequencing (NGS) and Bioinformatics (BI) enhances traditional biosurveillance by providing additional data to understand transmission, identify resistance and virulence factors, make predictions, and update risk assessments. As more and more laboratories adopt NGS and BI technologies they encounter challenges in building local capacity. In addition to choosing the right sequencing platform and approach, considerations must also be made for the complexity of bioinformatics analyses, data storage, as well as personnel and computational requirements. To address these needs, a comprehensive training program was developed covering wet lab and bioinformatics approaches to NGS. The program is meant to be modular and adaptive to meet both common and individualized needs of medical research and public health laboratories across the DoD. The training program was first deployed internationally to the Basic Science Laboratory of the US Army Medical Research Directorate-Africa in Kisumu, Kenya, which is an overseas Lab of the Walter Reed Army Institute of Research (WRAIR). A week-long workshop with intensive focus on targeted sequencing and the bioinformatics of genome assembly (n = 24 participants) was held. Post-workshop self-assessment (completed by 21 participants) noted significant median gains in knowledge domains related to NGS targeted sequencing, bioinformatics for genome assembly, and sequence quality assessment. The participants also reported that the information on study design, sample preparation, sequencing quality control, data quality assessment, reporting, and basic and advanced bioinformatics analysis were the most useful information presented in the training. While longer-term evaluations are planned, the training resulted in significant short-term improvement of a laboratory’s self-reported wet lab and bioinformatics capabilities. This framework can be used for future DoD laboratory development in the area of NGS and BI for infectious disease surveillance, ultimately enhancing this global DoD capability.
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Affiliation(s)
- Irina Maljkovic Berry
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, United States
| | - Wiriya Rutvisuttinunt
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, United States.,Office of Genomics and Advanced Technologies National Institute of Allergy and Infectious Diseases, Bethesda, MD, United States
| | - Logan J Voegtly
- Genomics & Bioinformatics Department, Biological Defense Research Directorate, Naval Medical Research Center-Frederick, Fort Detrick, MD, United States.,Leidos, Reston, VA, United States
| | - Karla Prieto
- College of Public Health, University of Nebraska Medical Center, Omaha, NE, United States.,Center for Genomic Studies, United States Army Medical Research Institute for Infectious Diseases, Frederick, MD, United States
| | - Simon Pollett
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, United States
| | - Regina Z Cer
- Genomics & Bioinformatics Department, Biological Defense Research Directorate, Naval Medical Research Center-Frederick, Fort Detrick, MD, United States.,Leidos, Reston, VA, United States
| | - Jeffrey R Kugelman
- Center for Genomic Studies, United States Army Medical Research Institute for Infectious Diseases, Frederick, MD, United States
| | - Kimberly A Bishop-Lilly
- Genomics & Bioinformatics Department, Biological Defense Research Directorate, Naval Medical Research Center-Frederick, Fort Detrick, MD, United States
| | - Lindsay Morton
- Global Emerging Infections Surveillance, Armed Forces Health Surveillance Branch, Silver Spring, MD, United States
| | - John Waitumbi
- Basic Science Laboratory, US Army Medical Research Directorate-Africa/Kenya Medical Research Institute, Kisumu, Kenya
| | - Richard G Jarman
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, United States
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Naorem RS, Urban P, Goswami G, Fekete C. Characterization of methicillin-resistant Staphylococcus aureus through genomics approach. 3 Biotech 2020; 10:401. [PMID: 32864286 PMCID: PMC7441129 DOI: 10.1007/s13205-020-02387-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Accepted: 08/10/2020] [Indexed: 01/09/2023] Open
Abstract
In the present study, a total of 35 S. aureus isolates collected from two different geographical locations viz., Germany and Hungary were tested for their methicillin-resistant phenotype which revealed a high incidence of methicillin-resistant S. aureus. The quantitative test for biofilm production revealed that 73.3% of isolates were biofilm producers. The isolates were further characterized using a set of biochemical and genotypic methods such as amplification and analysis of S. aureus species-specific sequence and mecA gene. The 33 mecA positive isolates were then characterized by the amplification of SCCmec and pvl toxin genes. Further, based on the biofilm-forming phenotype, 15 isolates were selected and characterized through PCR–RFLP of coa gene, polymorphism of spa gene and amplification of biofilm-associated genes. The dendrogram prepared from the results of both biochemical and genotypic analyses of the 15 isolates showed that except for the isolates SA G5 and SA H29, the rest of the isolates grouped themselves according to their locations. Thus, the two isolates were selected for further characterization through whole-genome sequencing. Comparative genome analysis revealed that SA G5 and SA H29 have 97.20% ANI values with 2344 gene clusters (core-genome) of which 16 genes were related to antibiotic resistance genes and 57 genes encode virulence factors. The highest numbers of singleton genes were found in SA H29 that encodes proteins for virulence, resistance, mobile elements, and lanthionine biosynthesis. The high-resolution phylogenetic trees generated based on shared proteins and SNPs revealed a clear difference between the two strains and can be useful in distinguishing closely related genomes. The present study demonstrated that the whole-genome sequence analysis technique is required to get a better insight into the MRSA strains which would be helpful in improving diagnostic investigations in real-time to improve patient care.
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Affiliation(s)
- Romen Singh Naorem
- Department of General and Environmental Microbiology, Institute of Biology, University of Pécs, Pécs, 7624 Hungary
| | - Peter Urban
- Department of General and Environmental Microbiology, Institute of Biology, University of Pécs, Pécs, 7624 Hungary
- Microbial Biotechnology Research Group, Szentágothai Research Centre, Pécs, 7624 Hungary
| | - Gunajit Goswami
- Department of Life Sciences, Dibrugarh University, Dibrugarh, 786004 Assam India
| | - Csaba Fekete
- Department of General and Environmental Microbiology, Institute of Biology, University of Pécs, Pécs, 7624 Hungary
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Xu M, Wang D, Wang H, Zhang X, Liang T, Dai J, Li M, Zhang J, Zhang K, Xu D, Yu X. COVID-19 diagnostic testing: Technology perspective. Clin Transl Med 2020; 10:e158. [PMID: 32898340 PMCID: PMC7443140 DOI: 10.1002/ctm2.158] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 08/05/2020] [Accepted: 08/10/2020] [Indexed: 02/06/2023] Open
Abstract
The corona virus disease 2019 (COVID-19) is a highly contagious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). More than 18 million people were infected with a total of 0.7 million deaths in ∼188 countries. Controlling the spread of SARS-CoV-2 is therefore inherently dependent on identifying and isolating infected individuals, especially since COVID-19 can result in little to no symptoms. Here, we provide a comprehensive review of the different primary technologies used to test for COVID-19 infection, discuss the advantages and disadvantages of each technology, and highlight the studies that have employed them. We also describe technologies that have the potential to accelerate SARS-CoV-2 detection in the future, including digital PCR, CRISPR, and microarray. Finally, remaining challenges in COVID-19 diagnostic testing are discussed, including (a) the lack of universal standards for diagnostic testing; (b) the identification of appropriate sample collection site(s); (c) the difficulty in performing large population screening; and (d) the limited understanding of SARS-COV-2 viral invasion, replication, and transmission.
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Affiliation(s)
- Meng Xu
- State Key Laboratory of ProteomicsBeijing Proteome Research CenterNational Center for Protein SciencesBeijing Institute of LifeomicsBeijingChina
- State Key Laboratory of Analytical Chemistry for Life ScienceSchool of Chemistry and Chemical EngineeringNanjing UniversityNanjingChina
| | - Dan Wang
- State Key Laboratory of ProteomicsBeijing Proteome Research CenterNational Center for Protein SciencesBeijing Institute of LifeomicsBeijingChina
| | - Hongye Wang
- State Key Laboratory of ProteomicsBeijing Proteome Research CenterNational Center for Protein SciencesBeijing Institute of LifeomicsBeijingChina
| | - Xiaomei Zhang
- State Key Laboratory of ProteomicsBeijing Proteome Research CenterNational Center for Protein SciencesBeijing Institute of LifeomicsBeijingChina
| | - Te Liang
- State Key Laboratory of ProteomicsBeijing Proteome Research CenterNational Center for Protein SciencesBeijing Institute of LifeomicsBeijingChina
| | - Jiayu Dai
- State Key Laboratory of ProteomicsBeijing Proteome Research CenterNational Center for Protein SciencesBeijing Institute of LifeomicsBeijingChina
| | - Meng Li
- State Key Laboratory of ProteomicsBeijing Proteome Research CenterNational Center for Protein SciencesBeijing Institute of LifeomicsBeijingChina
| | - Jiahui Zhang
- State Key Laboratory of ProteomicsBeijing Proteome Research CenterNational Center for Protein SciencesBeijing Institute of LifeomicsBeijingChina
| | - Kai Zhang
- State Key Laboratory of ProteomicsBeijing Proteome Research CenterNational Center for Protein SciencesBeijing Institute of LifeomicsBeijingChina
| | - Danke Xu
- State Key Laboratory of Analytical Chemistry for Life ScienceSchool of Chemistry and Chemical EngineeringNanjing UniversityNanjingChina
| | - Xiaobo Yu
- State Key Laboratory of ProteomicsBeijing Proteome Research CenterNational Center for Protein SciencesBeijing Institute of LifeomicsBeijingChina
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Noguera-Julian M, Lee ER, Shafer RW, Kantor R, Ji H. Dry Panels Supporting External Quality Assessment Programs for Next Generation Sequencing-Based HIV Drug Resistance Testing. Viruses 2020; 12:v12060666. [PMID: 32575676 PMCID: PMC7354622 DOI: 10.3390/v12060666] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 06/18/2020] [Accepted: 06/18/2020] [Indexed: 12/18/2022] Open
Abstract
External quality assessment (EQA) is a keystone element in the validation and implementation of next generation sequencing (NGS)-based HIV drug resistance testing (DRT). Software validation and evaluation is a critical element in NGS EQA programs. While the development, sharing, and adoption of wet lab protocols is coupled with the increasing access to NGS technology worldwide, rendering it easy to produce NGS data for HIV-DRT, bioinformatic data analysis remains a bottleneck for most of the diagnostic laboratories. Several computational tools have been made available, via free or commercial sources, to automate the conversion of raw NGS data into an actionable clinical report. Although different software platforms yield equivalent results when identical raw NGS datasets are analyzed for variations at higher abundance, discrepancies arise when variations at lower frequencies are considered. This implies that validation and performance assessment of the bioinformatics tools applied in NGS HIV-DRT is critical, and the origins of the observed discrepancies should be determined. Well-characterized reference NGS datasets with ground truth on the genotype composition at all examined loci and the exact frequencies of HIV variations they may harbor, so-called dry panels, would be essential in such cases. The strategic design and construction of such panels are challenging but imperative tasks in support of EQA programs for NGS-based HIV-DRT and the validation of relevant bioinformatics tools. Here, we present criteria that can guide the design of such dry panels, which were discussed in the Second International Winnipeg Symposium themed for EQA strategies for NGS HIVDR assays.
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Affiliation(s)
- Marc Noguera-Julian
- IrsiCaixa AIDS Research Institute, Hospital Germans Trias i Pujol, s/n, Catalonia, 08196 Badalona, Spain
- Chair in AIDS and Related Illnesses, Centre for Health and Social Care Research (CESS), Faculty of Medicine, University of Vic, Central University of Catalonia, Can Baumann. Ctra. de Roda, 70, 08500 Vic, Spain
- Correspondence:
| | - Emma R. Lee
- National HIV and Retrovirology Laboratories, National Microbiology Laboratory at JC Wilt Infectious Diseases Research Centre, Public Health Agency of Canada, Winnipeg, MB R3E 3R2, Canada; (E.R.L.); (H.J.)
| | | | - Rami Kantor
- Division of Infectious Diseases, Brown University Alpert Medical School, Providence, RI 02903, USA;
| | - Hezhao Ji
- National HIV and Retrovirology Laboratories, National Microbiology Laboratory at JC Wilt Infectious Diseases Research Centre, Public Health Agency of Canada, Winnipeg, MB R3E 3R2, Canada; (E.R.L.); (H.J.)
- Department of Medical Microbiology and Infectious Diseases, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3E 0J9, Canada
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40
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Tshibangu-Kabamba E, Ngoma-Kisoko PDJ, Tuan VP, Matsumoto T, Akada J, Kido Y, Tshimpi-Wola A, Tshiamala-Kashala P, Ahuka-Mundeke S, Mumba Ngoy D, Disashi-Tumba G, Yamaoka Y. Next-Generation Sequencing of the Whole Bacterial Genome for Tracking Molecular Insight into the Broad-Spectrum Antimicrobial Resistance of Helicobacter pylori Clinical Isolates from the Democratic Republic of Congo. Microorganisms 2020; 8:E887. [PMID: 32545318 PMCID: PMC7356661 DOI: 10.3390/microorganisms8060887] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Revised: 06/03/2020] [Accepted: 06/04/2020] [Indexed: 12/24/2022] Open
Abstract
Antimicrobial susceptibility testing (AST) is increasingly needed to guide the Helicobacter pylori (H. pylori) treatment but remains laborious and unavailable in most African countries. To assess the clinical relevance of bacterial whole genome sequencing (WGS)-based methods for predicting drug susceptibility in African H. pylori, 102 strains isolated from the Democratic Republic of Congo were subjected to the phenotypic AST and next-generation sequencing (NGS). WGS was used to screen for the occurrence of genotypes encoding antimicrobial resistance (AMR). We noted the broad-spectrum AMR of H. pylori (rates from 23.5 to 90.0%). A WGS-based method validated for variant discovery in AMR-related genes (discovery rates of 100%) helped in identifying mutations of key genes statistically related to the phenotypic AMR. These included mutations often reported in Western and Asian populations and, interestingly, several putative AMR-related new genotypes in the pbp1A (e.g., T558S, F366L), gyrA (e.g., A92T, A129T), gyrB (e.g., R579C), and rdxA (e.g., R131_K166del) genes. WGS showed high performance for predicting AST phenotypes, especially for amoxicillin, clarithromycin, and levofloxacin (Youden's index and Cohen's Kappa > 0.80). Therefore, WGS is an accurate alternative to the phenotypic AST that provides substantial decision-making information for public health policy makers and clinicians in Africa, while providing insight into AMR mechanisms for researchers.
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Affiliation(s)
- Evariste Tshibangu-Kabamba
- Department of Environmental and Preventive Medicine, Faculty of Medicine, Oita University, Oita 879-5593, Japan; (E.T.-K.); (V.P.T.); (T.M.); (J.A.); (Y.K.)
- Department of Internal Medicine, Faculty of Medicine, University of Mbujimayi, Mbujimayi, DR Congo;
| | - Patrick de Jesus Ngoma-Kisoko
- Department of Internal Medicine, Gastroenterology and Hepatology Section, Faculty of Medicine, University of Kinshasa, Kinshasa, DR Congo; (P.d.J.N.-K.); (A.T.-W.)
- Department of Gastroenterology and Hepatology, Cinquantenaire’s Hospital, Kinshasa, DR Congo
- Department of Internal Medicine, Gastroenterology and Hepatology Section, General Referential Hospital of Bukavu, DR Congo
| | - Vo Phuoc Tuan
- Department of Environmental and Preventive Medicine, Faculty of Medicine, Oita University, Oita 879-5593, Japan; (E.T.-K.); (V.P.T.); (T.M.); (J.A.); (Y.K.)
- Department of Endoscopy, Cho Ray Hospital, Ho Chi Minh 70000, Vietnam
| | - Takashi Matsumoto
- Department of Environmental and Preventive Medicine, Faculty of Medicine, Oita University, Oita 879-5593, Japan; (E.T.-K.); (V.P.T.); (T.M.); (J.A.); (Y.K.)
| | - Junko Akada
- Department of Environmental and Preventive Medicine, Faculty of Medicine, Oita University, Oita 879-5593, Japan; (E.T.-K.); (V.P.T.); (T.M.); (J.A.); (Y.K.)
| | - Yasutoshi Kido
- Department of Environmental and Preventive Medicine, Faculty of Medicine, Oita University, Oita 879-5593, Japan; (E.T.-K.); (V.P.T.); (T.M.); (J.A.); (Y.K.)
- Department of Parasitology, Osaka City University, Osaka 545-8585, Japan
| | - Antoine Tshimpi-Wola
- Department of Internal Medicine, Gastroenterology and Hepatology Section, Faculty of Medicine, University of Kinshasa, Kinshasa, DR Congo; (P.d.J.N.-K.); (A.T.-W.)
- Department of Internal Medicine, Gastroenterology and Hepatology Section, Marie-Yvettes Clinics, Kinshasa, DR Congo
| | - Pascal Tshiamala-Kashala
- Department of Internal Medicine, Gastroenterology and Hepatology Section, Astryd Clinics, Kinshasa, DR Congo;
| | - Steve Ahuka-Mundeke
- Department of Virology, National Institute of Biomedical Research, Kinshasa, DR Congo;
| | - Dieudonné Mumba Ngoy
- Department of Parasitology, National Institute of Biomedical Research, Kinshasa, DR Congo;
- Department of Tropical Medicine, School of Medicine, University of Kinshasa, Kinshasa, DR Congo
| | - Ghislain Disashi-Tumba
- Department of Internal Medicine, Faculty of Medicine, University of Mbujimayi, Mbujimayi, DR Congo;
| | - Yoshio Yamaoka
- Department of Environmental and Preventive Medicine, Faculty of Medicine, Oita University, Oita 879-5593, Japan; (E.T.-K.); (V.P.T.); (T.M.); (J.A.); (Y.K.)
- Department of Medicine, Gastroenterology and Hepatology Section, Baylor College of Medicine, Houston, TX 77030, USA
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Becker MG, Liang D, Cooper B, Le Y, Taylor T, Lee ER, Wu S, Sandstrom P, Ji H. Development and Application of Performance Assessment Criteria for Next-Generation Sequencing-Based HIV Drug Resistance Assays. Viruses 2020; 12:E627. [PMID: 32532083 PMCID: PMC7354553 DOI: 10.3390/v12060627] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 05/29/2020] [Accepted: 06/07/2020] [Indexed: 12/19/2022] Open
Abstract
Next-generation sequencing (NGS)-based HIV drug resistance (HIVDR) assays outperform conventional Sanger sequencing in scalability, sensitivity, and quantitative detection of minority resistance variants. Thus far, HIVDR assays have been applied primarily in research but rarely in clinical settings. One main obstacle is the lack of standardized validation and performance evaluation systems that allow regulatory agencies to benchmark and accredit new assays for clinical use. By revisiting the existing principles for molecular assay validation, here we propose a new validation and performance evaluation system that helps to both qualitatively and quantitatively assess the performance of an NGS-based HIVDR assay. To accomplish this, we constructed a 70-specimen proficiency test panel that includes plasmid mixtures at known ratios, viral RNA from infectious clones, and anonymized clinical specimens. We developed assessment criteria and benchmarks for NGS-based HIVDR assays and used these to assess data from five separate MiSeq runs performed in two experienced HIVDR laboratories. This proposed platform may help to pave the way for the standardization of NGS HIVDR assay validation and performance evaluation strategies for accreditation and quality assurance purposes in both research and clinical settings.
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Affiliation(s)
- Michael G. Becker
- National HIV and Retrovirology Laboratories, National Microbiology Laboratory at JC Wilt Infectious Diseases Research Center, Public Health Agency of Canada, Winnipeg, MB R3E 3R2, Canada; (M.G.B.); (T.T.); (E.R.L.); (P.S.)
| | - Dun Liang
- ViroDx Clinical Diagnostics Laboratory, St. Louis, MO 63017, USA; (D.L.); (B.C.); (Y.L.)
| | - Breanna Cooper
- ViroDx Clinical Diagnostics Laboratory, St. Louis, MO 63017, USA; (D.L.); (B.C.); (Y.L.)
| | - Yan Le
- ViroDx Clinical Diagnostics Laboratory, St. Louis, MO 63017, USA; (D.L.); (B.C.); (Y.L.)
| | - Tracy Taylor
- National HIV and Retrovirology Laboratories, National Microbiology Laboratory at JC Wilt Infectious Diseases Research Center, Public Health Agency of Canada, Winnipeg, MB R3E 3R2, Canada; (M.G.B.); (T.T.); (E.R.L.); (P.S.)
| | - Emma R. Lee
- National HIV and Retrovirology Laboratories, National Microbiology Laboratory at JC Wilt Infectious Diseases Research Center, Public Health Agency of Canada, Winnipeg, MB R3E 3R2, Canada; (M.G.B.); (T.T.); (E.R.L.); (P.S.)
| | - Sutan Wu
- SutanStats, St. Louis, MO 63017, USA;
| | - Paul Sandstrom
- National HIV and Retrovirology Laboratories, National Microbiology Laboratory at JC Wilt Infectious Diseases Research Center, Public Health Agency of Canada, Winnipeg, MB R3E 3R2, Canada; (M.G.B.); (T.T.); (E.R.L.); (P.S.)
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB R3E 0J9, Canada
| | - Hezhao Ji
- National HIV and Retrovirology Laboratories, National Microbiology Laboratory at JC Wilt Infectious Diseases Research Center, Public Health Agency of Canada, Winnipeg, MB R3E 3R2, Canada; (M.G.B.); (T.T.); (E.R.L.); (P.S.)
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB R3E 0J9, Canada
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External Quality Assessment for Next-Generation Sequencing-Based HIV Drug Resistance Testing: Unique Requirements and Challenges. Viruses 2020; 12:v12050550. [PMID: 32429382 PMCID: PMC7291216 DOI: 10.3390/v12050550] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 05/09/2020] [Accepted: 05/14/2020] [Indexed: 12/25/2022] Open
Abstract
Over the past decade, there has been an increase in the adoption of next generation sequencing (NGS) technologies for HIV drug resistance (HIVDR) testing. NGS far outweighs conventional Sanger sequencing as it has much higher throughput, lower cost when samples are batched and, most importantly, significantly higher sensitivities for variants present at low frequencies, which may have significant clinical implications. Despite the advantages of NGS, Sanger sequencing remains the gold standard for HIVDR testing, largely due to the lack of standardization of NGS-based HIVDR testing. One important aspect of standardization includes external quality assessment (EQA) strategies and programs. Current EQA for Sanger-based HIVDR testing includes proficiency testing where samples are sent to labs and the performance of the lab conducting such assays is evaluated. The current methods for Sanger-based EQA may not apply to NGS-based tests because of the fundamental differences in their technologies and outputs. Sanger-based genotyping reports drug resistance mutations (DRMs) data as dichotomous, whereas NGS-based HIVDR genotyping also reports DRMs as numerical data (percent abundance). Here we present an overview of the need to develop EQA for NGS-based HIVDR testing and some unique challenges that may be encountered.
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