Clinical and Translational Science
eBook - ePub

Clinical and Translational Science

Principles of Human Research

  1. 808 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Clinical and Translational Science

Principles of Human Research

About this book

Clinical and Translational Science: Principles of Human Research, Second Edition, is the most authoritative and timely resource for the broad range of investigators taking on the challenge of clinical and translational science, a field that is devoted to investigating human health and disease, interventions, and outcomes for the purposes of developing new treatment approaches, devices, and modalities to improve health. This updated second edition has been prepared with an international perspective, beginning with fundamental principles, experimental design, epidemiology, traditional and new biostatistical approaches, and investigative tools. It presents complete instruction and guidance from fundamental principles, approaches, and infrastructure, especially for human genetics and genomics, human pharmacology, research in special populations, the societal context of human research, and the future of human research. The book moves on to discuss legal, social, and ethical issues, and concludes with a discussion of future prospects, providing readers with a comprehensive view of this rapidly developing area of science. - Introduces novel physiological and therapeutic strategies for engaging the fastest growing scientific field in both the private sector and academic medicine - Brings insights from international leaders into the discipline of clinical and translational science - Addresses drug discovery, drug repurposing and development, innovative and improved approaches to go/no-go decisions in drug development, and traditional and innovative clinical trial designs

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Information

Year
2016
Print ISBN
9780128021019
Edition
2
eBook ISBN
9780128021118
Section II
Approaches
Chapter 8

Measurement of Biological Materials

Mark D. Kellogg Boston Children's Hospital, Boston, MA, United States

Abstract

This chapter summarizes various methods employed to characterize and quantify biological materials from human sources used in translational and clinical research. The measurement of biological compounds in body fluids and tissues is a critical component of clinical research and represents an objective endpoint for many trials, especially those involving therapeutic interventions. While there have been significant technological advances made to characterize and quantify biological compounds from in vivo sources, many of these are still immature technologies that may not be suitable for use in translational and clinical research. Much of what has been added in the past decade relates to using data from different biomolecules in a multiomics approach. The purpose of this chapter is to provide an overview, advantages, and disadvantages of select methods that are available to the clinical researcher to assess biological compounds from human material. The technologies that will be discussed are (1) immunochemical (2) mass spectrometry, and (3) nucleic acid sequencing.

Keywords

Immunoassay; Mass spectrometry; -Omics; Validation; Verification
Key Points
• Immunoassays represent the most frequently used and perhaps simplest approach to the analysis of biological materials for the translational researcher.
• Enzyme immunoassay (EIA) and enzyme linked immunoassay formats are the easiest to utilize and are widely commercially available. More sensitive methods of immunoassay (Electrochemiluminescence, RIA, fluorescence polarization immunoassay) require specialized instrumentation for use.
• The concept of buyer aware is very appropriate when selecting from the available commercial immunoassays. The ā€œResearch use onlyā€ā€“labeled kit requires the user to verify the performance of the assay before use with research samples. Numerous examples of commercially available immunoassays not measuring the stated molecule have been reported in the past few years.
• Mass spectrometry and the associated separation techniques of gas and liquid chromatography have become the de facto approach to the profiling and quantification of protein, lipids, carbohydrates, and even nucleic acids. Instrumentation and associated processes have resulted in the capability to generate significant amounts of data. This data deluge has created the need for informatics processes to change the data into useful information.
• Massively parallel sequencing of nucleic acids has been termed ā€œnext-generation sequencingā€ and has largely supplanted the use of microarray approaches to genomics. Similar to the mass spectrometric analysis of biological materials, this has resulted in huge amounts of data and the need for powerful informatics approaches to make these data useful.
• Multiomics is the combination of processes and data from the genomics, proteomics, lipidomics, transcriptomics, metabolomics, and other -omics areas. The concept is based on the recognition that the structure and function of the biological systems of interest to the translational research are interrelated and impacted by all of the -omics.

Introduction

This chapter summarizes various methods employed to characterize and quantify biological materials from human sources used in translational and clinical research. The measurement of biological compounds in body fluids and tissues is a critical component of clinical research and represents an objective endpoint for many trials, especially those involving therapeutic interventions. The purpose of this chapter is to provide an overview of select methods that are available to the clinical researcher to assess biological compounds from human material. The technologies that will be discussed are (1) immunochemical, including immunoassays and immunochemistry; (2) mass spectrometry (MS) as applied to small molecules, proteins, and metabolites; and (3) nucleic acid sequencing as applied to genomics. It should be noted that some of these methods, such as immunoassays, and some types of MS are significantly more mature technologies than are techniques used in genomics, proteomics, and metabolomics. Since the topics discussed herein provide an overview, the reader is referred to the references at the end of the chapter for a more detailed discussion of specific methodologies.

Immunoassays and Immunochemistry

Background

Immunoassay methodologies represent, perhaps, the most frequently used approach to measure biological compounds in translational and clinical research. Assays exist, from either commercial or research sources, for both the qualitative and quantitative measurement of a plethora of naturally occurring small molecules such as lipid mediators and hormones as well as larger peptides and proteins that are present in human body fluids and tissues (Davies, 1994). In addition, a number of therapeutic agents can be measured by immunoassays. It is important to note that immunoassays can not only measure antigens but antibodies as well. Many immunoassays are extremely sensitive and can detect as little as 0.1 pg of compound per milliliter of body fluid (Ashihara et al., 2001). This section will focus primarily on the most commonly used immunoassay approach—enzyme immunoassay (EIA). Mention will also be made about other immunoassay methods including radioimmunoassay (RIA), fluorescent and chemiluminescent immunoassays, precipitation immunoassays, and particle immunoassays.

Basic Principles

The first immunoassays resulted from the pioneering work of Yalow and Berson in the late 1950s and utilized antibodies labeled with a radioisotope like 125I. Regardless of the method used, all immunoassays rely upon the interaction of an antigen with an antibody (Davies, 1994). The extent to which this in...

Table of contents

  1. Cover
  2. Front Matter
  3. Table of Contents
  4. Copyright
  5. List of Contributors
  6. Acknowledgments
  7. List of Illustrations
  8. List of Tables
  9. Chapter 1 : Introduction to Clinical Research
  10. Chapter 2 : Patient-Oriented Research
  11. Chapter 3 : Clinical Trials
  12. Chapter 4 : Introduction to Epidemiology
  13. Chapter 5 : The Patient-Centered Outcomes Research Institute: Current Approach to Funding Clinical Research and Future Directions
  14. Chapter 6 : Health-Care Technology Assessment (HTA)
  15. Chapter 7 : Health Services Research: Translating Discovery and Research Into Practice and Policy
  16. Chapter 8 : Measurement of Biological Materials
  17. Chapter 9 : Imaging Tools in Clinical Research: Focus on Imaging Technologies
  18. Chapter 10 : Imaging Tools in Human Research: Focus on Image-Guided Intervention
  19. Chapter 11 : Nanotechnology in Clinical and Translational Research
  20. Chapter 12 : The Use of Questionnaires and Surveys
  21. Chapter 13 : Information Technology
  22. Chapter 14 : Principles of Biostatistics
  23. Chapter 15 : Good Clinical Practice and Good Laboratory Practice
  24. Chapter 16 : Introduction to Human Geneticsāˆ—
  25. Chapter 17 : Epidemiologic and Population Genetic Studies
  26. Chapter 18 : Pharmacogenetics of Drug Metabolism
  27. Chapter 19 : Statistical Techniques for Genetic Analysis
  28. Chapter 20 : Introduction to Clinical Pharmacology
  29. Chapter 21 : Adverse Drug Events
  30. Chapter 22 : Translating Science to the Bedside: The Innovation Pipeline
  31. Chapter 23 : Regulatory Environment
  32. Chapter 24 : Ethical Issues in Translational Research and Clinical Investigation
  33. Chapter 25 : Clinical Research in the Public Eye
  34. Chapter 26 : Research in Special Populations: Acute Illnesses; Critical Care; and Surgical Patients
  35. Chapter 27 : Research in the Emergency Care Environment
  36. Chapter 28 : Psychiatric Disorders
  37. Chapter 29 : Research in Special Populations: Geriatrics
  38. Chapter 30 : Clinical Research in Neurology
  39. Chapter 31 : Research in Pediatrics
  40. Chapter 32 : Cancer as a Paradigm for Translational and Clinical Biomedical Research
  41. Chapter 33 : Maintaining an Emphasis on Rare Diseases With Research Initiatives and Resources at the National Center for Advancing Translational Sciences
  42. Chapter 34 : Clinical and Translational Science Infrastructure
  43. Chapter 35 : Education, Training and Career Choices: Training Basic, Clinical, and Translational Investigators
  44. Chapter 36 : A Stepwise Approach to a Career in Translational Research
  45. Chapter 37 : Physician Careers in the Pharmaceutical Industry
  46. Chapter 38 : Industry-Sponsored Clinical Research in Academia
  47. Chapter 39 : Governmental Support of Research
  48. Chapter 40 : The Role of Nonprofit, Nongovernmental Funding in Support of Biomedical Research
  49. Chapter 41 : Modern Drug Discovery and Development
  50. Chapter 42 : Pharmaceutical and Biotechnology Sector Support of Research
  51. Chapter 43 : The Future of Clinical Research
  52. Index
  53. A

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