Application And Integration Of Omics Powered Diagnostics In Clinical And Public Health Microbiology

Various “omics” methods have recently revolutionized molecular diagnostics. Next-generation sequencing (NGS) makes it possible to sequence a human genome in just one day. Whole genome sequencing (WGS) greatly improves the ability to investigate the outbreaks of numerous pathogens. Metagenomics helps to analyze the microbiome, which aids greatly in identifying the pathogenesis of infectious diseases. Proteomic-based methods, namely matrix-assisted laser desorption-ionization time of flight mass spectrometry (MALDI-TOF-MS), have a promising role in identifying myctobacteria and fungi, and predicting antimicrobial resistance. While there are numerous scientific publications on “omics” applications for microbiology, there are relatively few books that review this topic from a clinical diagnostics perspective. This book looks at this field from a holistic viewpoint, instead of limiting by type of “omics” technology, in order to cover the body of knowledge needed for practitioners and academics interested in clinical and public health microbiology. Additionally, it addresses the management, economical, regulatory and operational aspects of integrating these technologies into routine diagnostics.

One Health: Challenges for the 21st Century is a transdisciplinary approach to health, considering the interdependency of human, animal, and environmental health. This approach to health promotion and disease prevention calls for integrative and interdisciplinary cooperation. From zoonotic diseases to environmental degradation, this book introduces core concepts of the One Health approach by presenting focal key challenges. The objective of this book is not centered solely on epidemiologic interactions of infectious diseases but also on the environmental and ecological implications of current major threats. Written by international experts, the ten chapters provide a comprehensive approach consisting of core concepts, practical examples, and applications that align with key challenges to public health. Therefore, this book is a valuable resource for public health professionals, veterinarians, physicians, environmental researchers, policymakers, and other professionals who seek to understand the overarching complexities of health. Examines the interconnection between humans, animals and the environment and how those relationships impact prevention, early detection, containment, and response to public health risks Offers concise and comprehensive coverage of the One Health concept, application to key public health challenges, and current and future developments Presents insights from an interdisciplinary group of international experts, containing examples to illustrate One Health framework and issues

The expansion of NGS implementation in clinical and public health practice accelerated drastically during the SARS-CoV-2 pandemic, where NGS has been playing a vital role in tracking dangerous strains of the virus. NGS applications not only influenced public health decision-making but also have been crossing into the clinical field with individual patients’ results being potentially available to the physicians. Hence, the topic of implementation of NGS methods in clinical and public health microbiology, its challenges and special considerations, is as timely as ever. The use of Next Generation Sequencing (NGS) in clinical and public health microbiology laboratories has been steadily expanding in the past decade. However, this progress has been held back by multiple logistical challenges, like the absence of regulatory compliance framework, lack of clear quality guidelines, the need for standardization and interoperability between laboratories, as well as cost and turn-around-time limitations.

Technologies collectively called omics enable simultaneous measurement of an enormous number of biomolecules; for example, genomics investigates thousands of DNA sequences, and proteomics examines large numbers of proteins. Scientists are using these technologies to develop innovative tests to detect disease and to predict a patient's likelihood of responding to specific drugs. Following a recent case involving premature use of omics-based tests in cancer clinical trials at Duke University, the NCI requested that the IOM establish a committee to recommend ways to strengthen omics-based test development and evaluation. This report identifies best practices to enhance development, evaluation, and translation of omics-based tests while simultaneously reinforcing steps to ensure that these tests are appropriately assessed for scientific validity before they are used to guide patient treatment in clinical trials.

A rapid development in diverse areas of molecular biology and genetic engineering resulted in emergence of variety of tools. These tools are not only applicable to basic researches being carried out world over, but also exploited for precise detection of abnormal conditions in plants, animals and human body. Although a basic researcher is well versed with few techniques used by him/her in the laboratory, they may not be well acquainted with methodologies, which can be used to work out some of their own research problems. The picture is more blurred when the molecular diagnostic tools are to be used by physicians, scientists and technicians working in diagnostic laboratories in hospitals, industry and academic institutions. Since many of them are not trained in basics of these methods, they come across several gray areas in understanding of these tools. The accurate application of molecular diagnostic tools demands in depth understanding of the methodology for precise detection of the abnormal condition of living body. To meet the requirements of a good book on molecular diagnostics of students, physicians, scientists working in agricultural, veterinary, medical and pharmaceutical sciences, it needs to expose the reader lucidly to: Give basic science behind commonly used tools in diagnostics Expose the readers to detailed applications of these tools and Make them aware the availability of such diagnostic tools The book will attract additional audience of pathologists, medical microbiologists, pharmaceutical sciences, agricultural scientists and veterinary doctors if the following topics are incorporated at appropriate places in Unit II or separately as a part of Unit-III in the book. Molecular diagnosis of diseases in agricultural crops Molecular diagnosis of veterinary diseases. Molecular epidemiology, which helps to differentiate various epidemic strains and sources of disease outbreaks. Even in different units of the same hospital, the infections could be by different strains of the same species and the information becomes valuable for infection control strategies. Drug resistance is a growing problem for bacterial, fungal and parasitic microbes and the molecular biology tools can help to detect the drug resistance genes without the cultivation and in vitro sensitivity testing. Molecular diagnostics offers faster help in the selection of the proper antibiotic for the treatment of tuberculosis, which is a major problem of the in the developing world. The conventional culture and drug sensitivity testing of tuberculosis bacilli is laborious and time consuming, whereas molecular diagnosis offers rapid drug resistant gene detection even from direct clinical samples. The same approach for HIV, malaria and many more diseases needs to be considered. Molecular diagnostics in the detection of diseases during foetal life is an upcoming area in the foetal medicine in case of genetic abnormalities and infectious like TORCH complex etc. The book will be equally useful to students, scientists and professionals working in the field of molecular diagnostics.

This book will serve as a primer for both laboratory and field scientists who are shaping the emerging field of molecular epidemiology. Molecular epidemiology utilizes the same paradigm as traditional epidemiology but uses biological markers to identify exposure, disease or susceptibility. Schulte and Perera present the epidemiologic methods pertinent to biological markers. The book is also designed to enumerate the considerations necessary for valid field research and provide a resource on the salient and subtle features of biological indicators.

A “genotype"" is essentially an organism's full hereditary information which is obtained from its parents. A ""phenotype"" is an organism's actual observed physical and behavioral properties. These may include traits such as morphology, size, height, eye color, metabolism, etc. One of the pressing challenges in computational and systems biology is genotype-to-phenotype prediction. This is challenging given the amount of data generated by modern Omics technologies. This “Big Data” is so large and complex that traditional data processing applications are not up to the task. Challenges arise in collection, analysis, mining, sharing, transfer, visualization, archiving, and integration of these data. In this Special Issue, there is a focus on the systems-level analysis of Omics data, recent developments in gene ontology annotation, and advances in biological pathways and network biology. The integration of Omics data with clinical and biomedical data using machine learning is explored. This Special Issue covers new methodologies in the context of gene-environment interactions, tissue-specific gene expression, and how external factors or host genetics impact the microbiome.