High-Throughput Sequencing (HTS, also called Next Generation Sequencing, NGS) has been applied to the medical field increasingly. There are both microbe sequences and host genome sequences in the HTS data, which generates two parts of sequences: host sequences and non-host sequences. Thus, for infectious disease, once HTS is finished, pathogens detection and host immune response evaluation are also completed after bioinformatics analysis, as
meta-transcriptome sequencing yields the whole gene expression pattern of both host and microbes. The severity of the infectious disease may vary from patient to patient, even though they are infected with the same pathogen. For example, enteroviruses infection causes hand foot and mouth disease in children but rarely in adults, and most symptoms are mild while a few severe infections are lethal. Conditional pathogenic bacteria such as pneumocystis jirovecii and Penicillium Marneffei are not usually considered to be pathogenic in immunocompetent people, while they are likely to be pathogenic in some immunodeficient patients. Pathogen infection will lead to different outcomes in terms of the host immune. A dual deep HTS generates both pathogens and host genetic bias information in the development of disease, allowing a more comprehensive assessment of the pathogenic characteristics of the pathogens and host immune response.
The aim of this Research Topic is to discuss the performance of HTS in pathogens detection and host response assessment in diverse infectious disease syndromes, including metagenomics sequencing and meta-transcriptome sequencing, explore the differences in response to different pathogens individually and provide guidance for clinical diagnoses and precision therapy strategies.
We welcome Reviews, Mini-Reviews, Perspectives, Brief Research Reports, and Original Research Articles focusing on the following themes:
• Performance of different pathogens detection by HTS in different infectious syndromic
• Host susceptibility in pathogens infection and risk assessment of infectious disease severity
• The socioeconomics evaluation of pathogens detection by HTS in different infectious syndromic
• Innovative technologies which can improve the efficacy of pathogens detection by HTS and promote clinical applications
• Development of algorithms that automatically and intelligently produce clinical pathogens detection report
High-Throughput Sequencing (HTS, also called Next Generation Sequencing, NGS) has been applied to the medical field increasingly. There are both microbe sequences and host genome sequences in the HTS data, which generates two parts of sequences: host sequences and non-host sequences. Thus, for infectious disease, once HTS is finished, pathogens detection and host immune response evaluation are also completed after bioinformatics analysis, as
meta-transcriptome sequencing yields the whole gene expression pattern of both host and microbes. The severity of the infectious disease may vary from patient to patient, even though they are infected with the same pathogen. For example, enteroviruses infection causes hand foot and mouth disease in children but rarely in adults, and most symptoms are mild while a few severe infections are lethal. Conditional pathogenic bacteria such as pneumocystis jirovecii and Penicillium Marneffei are not usually considered to be pathogenic in immunocompetent people, while they are likely to be pathogenic in some immunodeficient patients. Pathogen infection will lead to different outcomes in terms of the host immune. A dual deep HTS generates both pathogens and host genetic bias information in the development of disease, allowing a more comprehensive assessment of the pathogenic characteristics of the pathogens and host immune response.
The aim of this Research Topic is to discuss the performance of HTS in pathogens detection and host response assessment in diverse infectious disease syndromes, including metagenomics sequencing and meta-transcriptome sequencing, explore the differences in response to different pathogens individually and provide guidance for clinical diagnoses and precision therapy strategies.
We welcome Reviews, Mini-Reviews, Perspectives, Brief Research Reports, and Original Research Articles focusing on the following themes:
• Performance of different pathogens detection by HTS in different infectious syndromic
• Host susceptibility in pathogens infection and risk assessment of infectious disease severity
• The socioeconomics evaluation of pathogens detection by HTS in different infectious syndromic
• Innovative technologies which can improve the efficacy of pathogens detection by HTS and promote clinical applications
• Development of algorithms that automatically and intelligently produce clinical pathogens detection report
