Cargando…
Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery
Human pain models are useful in the assessing the analgesic effect of drugs, providing information about a drug's pharmacology and identify potentially suitable therapeutic populations. The need to use a comprehensive battery of pain models is highlighted by studies whereby only a single pain m...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MyJove Corporation
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4941921/ https://www.ncbi.nlm.nih.gov/pubmed/27166581 http://dx.doi.org/10.3791/53800 |
_version_ | 1782442363799470080 |
---|---|
author | Hay, Justin L. Okkerse, Pieter van Amerongen, Guido Groeneveld, Geert Jan |
author_facet | Hay, Justin L. Okkerse, Pieter van Amerongen, Guido Groeneveld, Geert Jan |
author_sort | Hay, Justin L. |
collection | PubMed |
description | Human pain models are useful in the assessing the analgesic effect of drugs, providing information about a drug's pharmacology and identify potentially suitable therapeutic populations. The need to use a comprehensive battery of pain models is highlighted by studies whereby only a single pain model, thought to relate to the clinical situation, demonstrates lack of efficacy. No single experimental model can mimic the complex nature of clinical pain. The integrated, multi-modal pain task battery presented here encompasses the electrical stimulation task, pressure stimulation task, cold pressor task, the UVB inflammatory model which includes a thermal task and a paradigm for inhibitory conditioned pain modulation. These human pain models have been tested for predicative validity and reliability both in their own right and in combination, and can be used repeatedly, quickly, in short succession, with minimum burden for the subject and with a modest quantity of equipment. This allows a drug to be fully characterized and profiled for analgesic effect which is especially useful for drugs with a novel or untested mechanism of action. |
format | Online Article Text |
id | pubmed-4941921 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MyJove Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-49419212016-07-22 Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery Hay, Justin L. Okkerse, Pieter van Amerongen, Guido Groeneveld, Geert Jan J Vis Exp Behavior Human pain models are useful in the assessing the analgesic effect of drugs, providing information about a drug's pharmacology and identify potentially suitable therapeutic populations. The need to use a comprehensive battery of pain models is highlighted by studies whereby only a single pain model, thought to relate to the clinical situation, demonstrates lack of efficacy. No single experimental model can mimic the complex nature of clinical pain. The integrated, multi-modal pain task battery presented here encompasses the electrical stimulation task, pressure stimulation task, cold pressor task, the UVB inflammatory model which includes a thermal task and a paradigm for inhibitory conditioned pain modulation. These human pain models have been tested for predicative validity and reliability both in their own right and in combination, and can be used repeatedly, quickly, in short succession, with minimum burden for the subject and with a modest quantity of equipment. This allows a drug to be fully characterized and profiled for analgesic effect which is especially useful for drugs with a novel or untested mechanism of action. MyJove Corporation 2016-04-14 /pmc/articles/PMC4941921/ /pubmed/27166581 http://dx.doi.org/10.3791/53800 Text en Copyright © 2016, Journal of Visualized Experiments http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visithttp://creativecommons.org/licenses/by-nc-nd/3.0/ |
spellingShingle | Behavior Hay, Justin L. Okkerse, Pieter van Amerongen, Guido Groeneveld, Geert Jan Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery |
title | Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery |
title_full | Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery |
title_fullStr | Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery |
title_full_unstemmed | Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery |
title_short | Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery |
title_sort | determining pain detection and tolerance thresholds using an integrated, multi-modal pain task battery |
topic | Behavior |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4941921/ https://www.ncbi.nlm.nih.gov/pubmed/27166581 http://dx.doi.org/10.3791/53800 |
work_keys_str_mv | AT hayjustinl determiningpaindetectionandtolerancethresholdsusinganintegratedmultimodalpaintaskbattery AT okkersepieter determiningpaindetectionandtolerancethresholdsusinganintegratedmultimodalpaintaskbattery AT vanamerongenguido determiningpaindetectionandtolerancethresholdsusinganintegratedmultimodalpaintaskbattery AT groeneveldgeertjan determiningpaindetectionandtolerancethresholdsusinganintegratedmultimodalpaintaskbattery |