Today's Hours: 8:00am - 6:00pm

Search

Filter Applied Clear All

Did You Mean:

Search Results

  • Book
    Susan G. Dorsey, Angela R. Starkweather, editors.
    Summary: This book provides an overview of the field of pain genomics and the genomics of related, or co-occuring, symptoms, the current state-of-the-science, and challenges that remain. It brings differing views in the field together and provides examples of translational science from using cellular and rodent models to human clinical trials. This book's structure leads the reader through the physiology of pain and genomics into how pain is studied, mechanisms of acute and chronic pain, various protocols that are used throughout the field along with the pros/cons of the current methods used, and project into the future of pain genomics. This work is intended for classroom teaching, for nurses, for novice researchers in symptom science and pain research as well as students and postdoctoral fellows.

    Contents:
    Intro
    Contents
    1: History of Integrating Genomics in Nursing Research: The Importance of Omics in Symptom Science
    1.1 The Unique Perspective Nurse Scientists Bring to Symptom Science Research
    1.2 The History of Promoting Precision Health Research at NINR
    1.2.1 Harnessing the Future with Genetics and Genomics: Education and Funding Initiatives
    1.3 Efforts to Develop Nursing Research Expertise in Genomics and Symptom Science
    1.4 NIH Symptom Science Model
    1.5 NINR's Division of Intramural Research and Symptom Science 1.6 NINR's Support of Symptom Science and Omics Research
    1.6.1 Extramural Symptom Science and Omics Research Training
    1.7 Trans-NIH Initiatives
    1.7.1 The NIH Pain Consortium
    1.7.2 The All of Us Research Program
    1.7.3 Common Data Elements
    1.7.4 Repurposing Omics Data
    1.8 Conclusion
    References
    2: Introduction to Omics Approaches in Symptom Science
    2.1 Genomics
    2.2 Transcriptomics
    2.3 Epigenomics
    2.4 Proteomics
    2.5 Metabolomics
    2.6 Microbiomics
    2.7 Overall Omics Study Design Considerations and Challenges
    References 3: Pain Physiology and the Neurobiology of Nociception
    3.1 Pain Defined
    3.2 Categories of Pain
    3.2.1 Ascending Pain Pathway
    3.2.2 Descending Pain Modulation
    References
    4: Pre-Clinical Models of Pain
    4.1 Reflexive Pain Testing
    4.2 Non-reflexive Pain Testing
    4.3 Disease- or Injury-Specific Pain Models
    4.4 Conclusions
    References
    5: Clinical Pain Phenotyping for Omics Studies
    5.1 Introduction
    5.2 Special Considerations for Omics Studies
    5.3 Pain Phenotyping
    5.3.1 Demographic and Environmental Characteristics
    5.4 Clinical Pain Phenotyping 5.4.1 Diagnostic Criteria
    5.4.2 Self-report Measures
    5.4.3 Controls
    5.5 Psychosocial Phenotyping
    5.5.1 Anxiety
    5.5.2 Depression
    5.5.3 Stress and Mood
    5.5.4 General Symptoms and Somatization
    5.5.5 Catastrophizing and Coping
    5.5.6 Fatigue and Sleep
    5.6 Experimental Pain Phenotyping
    5.6.1 Best Practices for QST Experiments
    5.6.2 Tests of Thermal Sensitivity
    5.6.3 Tests of Mechanical Sensitivity
    5.6.4 Dynamic QST Measures
    5.7 Electronic Phenotyping
    5.8 Summary
    References 6: Genomics of Breast Cancer and Treatment-Related Pain and Comorbid Symptoms
    6.1 Introduction
    6.2 Theoretical Models Used in Cancer Symptom Research
    6.3 Incorporation of Salient Factors in Cancer Symptoms Research
    6.4 Genotypic Studies in Breast Cancer Populations: Focus on Pain
    6.5 Focus on the Psychoneurological Symptom Cluster
    6.6 Additional Considerations of Sex, Race, Ethnicity, and Social Determinants of Health
    6.7 Capturing Changes Over Time: Gene Expression and Epigenomics
    6.8 Conclusions
    References
    7: Low Back Pain
    7.1 Introduction
    7.2 Muscles of the Lower Back.
    Digital Access Springer 2020