| Literature DB >> 28666464 |
Bradford D Fischer1, Adeshina Adeyemo1, Michael E O'Leary1, Andrea Bottaro2.
Abstract
Severe chronic pain is one of the hallmarks and most debilitating manifestations of inflammatory arthritis. It represents a significant problem in the clinical management of patients with common chronic inflammatory joint conditions such as rheumatoid arthritis, psoriatic arthritis and spondyloarthropathies. The functional links between peripheral inflammatory signals and the establishment of the neuroadaptive mechanisms acting in nociceptors and in the central nervous system in the establishment of chronic and neuropathic pain are still poorly understood, representing an area of intense study and translational priority. Several well-established inducible and spontaneous animal models are available to study the onset, progression and chronicization of inflammatory joint disease, and have been instrumental in elucidating its immunopathogenesis. However, quantitative assessment of pain in animal models is technically and conceptually challenging, and it is only in recent years that inflammatory arthritis models have begun to be utilized systematically in experimental pain studies using behavioral and neurophysiological approaches to characterize acute and chronic pain stages. This article aims primarily to provide clinical and experimental rheumatologists with an overview of current animal models of arthritis pain, and to summarize emerging findings, challenges and unanswered questions in the field.Entities:
Keywords: Animal models; Arthritis; Inflammation; Nociception; Pain
Mesh:
Year: 2017 PMID: 28666464 PMCID: PMC5493070 DOI: 10.1186/s13075-017-1361-6
Source DB: PubMed Journal: Arthritis Res Ther ISSN: 1478-6354 Impact factor: 5.156
Experimental methods of pain assessment in rodent arthritis models
| Assessment method [example references] | Response measured | Pain aspect assessed | Advantages | Disadvantages |
|---|---|---|---|---|
| Von Frey test/mechanical hyperalgesia [ | Pain-evoked behavior: withdrawal threshold from a mechanical stimulus | Mechanical allodynia/hyperalgesia | Quantitative, well-established protocols | Stimulation of mechanical and nociceptive fibers; possible investigator bias/subjectivity |
| Hargreaves test/thermonociception [ | Pain-evoked behavior: withdrawal latency from a thermal stimulus | Thermal allodynia/hyperalgesia | Quantitative, well-established protocols; primary stimulation of nociceptive fibers | Possible investigator bias/subjectivity |
| Ambulatory/locomotor behavior [ | Pain-suppressed behavior: locomotion in an open field | Locomotor activity/ambulation/exploratory behavior | Automated quantitative measurement; may include affective component | May be affected by nonpain-related outcomes (e.g., motor function) |
| Grimace scales [ | Changes in facial expressions associated with pain | Expression of subjective pain perception | Non-interventional; directly linked to individual pain state; may include affective component | Possible investigator bias/subjectivity; experimenter training needed; further validation in arthritis models required |
| fMRI [ | Functional changes in CNS activity associated with pain | Affective CNS responses to pain | Objective measurements; may include affective component | Expensive equipment; high-level investigator training needed; requirement for restraint/sedation |
| Gait/dynamic weight bearing analysis [ | Changes in ambulatory posture or weight distribution | Spontaneous gait changes due to joint pain | Objective, quantitative measurements; automated systems available | Specialized equipment needed. |
| Operant conditioning [ | Behavior emitted to receive a reward despite concurrent exposure to a painful stimulus | Affective and/or motivational components of pain perception | Objective, quantitative; automated systems available; may include affective component | Specialized equipment needed |
| Escape/avoidance [ | Latency to escape noxious stimulus | Affective and/or motivational components of pain perception | Objective, quantitative; automated systems available; may include affective component | Specialized equipment needed |
CNS central nervous system, fMRI functional magnetic resonance imaging
Fig. 1Correlation between locomotor activity and clinical disease progression in TNFtg mice. a Ambulatory behavior, measured as distance traveled in 60-minute experimental sessions (left, circles) was assessed in female TNFtg mice (n = 5, filled symbols) and normal littermates (n = 6, open symbols) every 2 weeks starting at 6 weeks of age. At the same times, disease progression was assessed by traditional clinical scoring of joint inflammation in each paw, on a scale from 0 to 4/paw (maximum score = 16) (right, squares). Locomotor activity was quantified in an open field arena (27.3 cm × 27.3 cm × 20.3 cm) equipped with a computer interface and software (MED Associates, St. Albans, VT, USA) and a 16-beam infrared array positioned along the X and Y axes of the enclosure. Symbols represent means and SEM for each data point. Note how the increases in clinical scores in TNFtg mice (filled squares) parallel the decline in their locomotor activity (filled circles) over time. b Example of recorded locomotor tracings from a TNFtg mouse (left) and a WT littermate (right) at 16 weeks. Note the reduction in locomotor/exploratory behavior in the TNFtg mouse. TNFtg TNF-transgenic