Pain, an unpleasant sensory and emotional experience, is a significant often under-recognized medical problem spanning numerous patient populations. One of the leading causes for individuals to seek medical attention is musculoskeletal pain. Indeed, pain is now considered the 5th vital sign. Unfortunately, pain is highly variable between individuals. In both acute and chronic pain conditions, there is often a dissociation of pain perception and the underlying pathology in a variety of conditions such as low back pain, osteoporosis or osteoarthritis. Significant pain that is disproportionate to the physical findings is challenging to treat and can result in decreased quality of life and greater disability. Thus, pain heterogeneity associated with common clinical conditions Interferes with diagnosis and adequate treatment, ultimately compromising healthcare. The biopsychosocial model of pain suggests pain perception is a complex process that involves a myriad of physical, social, and emotional components. While no one factor can explain pain heterogeneity, individual differences in gender, genotype, and psychological traits may play a significant role. Unfortunately, it is difficult to find individuals with adequate multidisciplinary training to investigate pain from a multi-factorial perspective. Thus, the goal of the proposed research and training is to gain the expertise to determine the degree to which measurable Individual differences, e.g. sex, genotype and personality traits, predict high and low pain responses. This translational study approach utilizes a controlled, deep-tissue, algesic stimulus in human subjects to critically examine factors that contribute to pain heterogeneity. The Intramuscular infusion of an acidic phosphate buffer provides a clinically-relevant nociceptive stimulus of deep-tissue pain. This novel model provides a unique opportunity to study the Influence of baseline individual differences without the confounding factors associated with clinical pain syndromes.

Public Health Relevance

Musculoskeletal pain is a prevalent problem in our society and pain heterogeneity between individuals may result from multiple factors. This research plan will assess the role of normal personality traits, sex, and genotype on muscle pain sensitivity. This information may improve diagnosis and treatment strategies for musculoskeletal pain, advancing healthcare through increasingly individualized patient care approaches.

Agency
National Institute of Health (NIH)
Institute
National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)
Type
Research Scientist Development Award - Research & Training (K01)
Project #
5K01AR056134-04
Application #
8289500
Study Section
Arthritis and Musculoskeletal and Skin Diseases Special Grants Review Committee (AMS)
Program Officer
Serrate-Sztein, Susana
Project Start
2009-09-08
Project End
2014-06-30
Budget Start
2012-07-01
Budget End
2013-06-30
Support Year
4
Fiscal Year
2012
Total Cost
$120,505
Indirect Cost
$8,926
Name
University of Iowa
Department
Type
DUNS #
062761671
City
Iowa City
State
IA
Country
United States
Zip Code
52242
Looft, John M; Herkert, Nicole; Frey-Law, Laura (2018) Modification of a three-compartment muscle fatigue model to predict peak torque decline during intermittent tasks. J Biomech 77:16-25
Hussain, Sara J; Frey-Law, Laura (2016) 3D strength surfaces for ankle plantar- and dorsi-flexion in healthy adults: an isometric and isokinetic dynamometry study. J Foot Ankle Res 9:43
Glass, N; Segal, N A; Sluka, K A et al. (2014) Examining sex differences in knee pain: the multicenter osteoarthritis study. Osteoarthritis Cartilage 22:1100-6
Lee, J E; Watson, D; Frey-Law, L A (2013) Psychological factors predict local and referred experimental muscle pain: a cluster analysis in healthy adults. Eur J Pain 17:903-15
Frey-Law, Laura A; Avin, Keith G (2013) Muscle coactivation: a generalized or localized motor control strategy? Muscle Nerve 48:578-85
Frey-Law, Laura A; Lee, Jennifer E; Wittry, Alex M et al. (2013) Pain rating schema: three distinct subgroups of individuals emerge when rating mild, moderate, and severe pain. J Pain Res 7:13-23
Frey-Law, Laura A; Laake, Andrea; Avin, Keith G et al. (2012) Knee and elbow 3D strength surfaces: peak torque-angle-velocity relationships. J Appl Biomech 28:726-37
Frey-Law, Laura A; Looft, John M; Heitsman, Jesse (2012) A three-compartment muscle fatigue model accurately predicts joint-specific maximum endurance times for sustained isometric tasks. J Biomech 45:1803-8
Law, Laura Frey; Krishnan, Chandramouli; Avin, Keith (2011) Modeling nonlinear errors in surface electromyography due to baseline noise: a new methodology. J Biomech 44:202-5
Avin, Keith G; Law, Laura A Frey (2011) Age-related differences in muscle fatigue vary by contraction type: a meta-analysis. Phys Ther 91:1153-65

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