Literature DB >> 25687540

Pattern of neuropathic pain induced by topical capsaicin application in healthy subjects.

Jörn Lötsch1, Violeta Dimova, Hanneke Hermens, Michael Zimmermann, Gerd Geisslinger, Bruno G Oertel, Alfred Ultsch.   

Abstract

Human experimental pain models are widely used to study drug effects under controlled conditions, but they require further optimization to better reflect clinical pain conditions. To this end, we measured experimentally induced pain in 110 (46 men) healthy volunteers. The quantitative sensory testing (QST) battery (German Research Network on Neuropathic Pain) was applied on untreated ("control") and topical capsaicin-hypersensitized ("test") skin. Z-transformed QST-parameter values obtained at the test site were compared with corresponding values published from 1236 patients with neuropathic pain using Bayesian statistics. Subjects were clustered for the resemblance of their QST pattern to neuropathic pain. Although QST parameter values from the untreated site agreed with reference values, several QST parameters acquired at the test site treated with topical capsaicin deviated from normal. These deviations resembled in 0 to 7 parameters of the QST pattern observed in patients with neuropathic pain. Higher degrees (50%-60%) of resemblance to neuropathic QST pattern were obtained in 18% of the subjects. Inclusion in the respective clusters was predictable at a cross-validated accuracy of 86.9% by a classification and regression tree comprising 3 QST parameters (mechanical pain sensitivity, wind-up ratio, and z-transformed thermal sensory limen) from the control sites. Thus, we found that topical capsaicin partly induced the desired clinical pattern of neuropathic pain in a preselectable subgroup of healthy subjects to a degree that fuels expectations that experimental pain models can be optimized toward mimicking clinical pain. The subjects, therefore, qualify for enrollment in analgesic drug studies that use highly selected cohorts to enhance predictivity for clinical analgesia.

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Year:  2015        PMID: 25687540     DOI: 10.1097/01.j.pain.0000460328.10515.c9

Source DB:  PubMed          Journal:  Pain        ISSN: 0304-3959            Impact factor:   6.961


  13 in total

Review 1.  Pain and Psychology-A Reciprocal Relationship.

Authors:  Nalini Vadivelu; Alice M Kai; Gopal Kodumudi; Karine Babayan; Manuel Fontes; Matthew M Burg
Journal:  Ochsner J       Date:  2017

2.  Effects of experimental pain induction on alcohol urge, intention to consume alcohol, and alcohol demand.

Authors:  Dezarie Moskal; Stephen A Maisto; Martin De Vita; Joseph W Ditre
Journal:  Exp Clin Psychopharmacol       Date:  2018-01-11       Impact factor: 3.157

3.  Better Fields or Currents? A Head-to-Head Comparison of Transcranial Magnetic (rTMS) Versus Direct Current Stimulation (tDCS) for Neuropathic Pain.

Authors:  Nathalie André-Obadia; Hasan Hodaj; Enkelejda Hodaj; Emile Simon; Chantal Delon-Martin; Luis Garcia-Larrea
Journal:  Neurotherapeutics       Date:  2022-10-20       Impact factor: 6.088

Review 4.  A literature review on the pharmacological sensitivity of human evoked hyperalgesia pain models.

Authors:  Guido van Amerongen; Matthijs W de Boer; Geert Jan Groeneveld; Justin L Hay
Journal:  Br J Clin Pharmacol       Date:  2016-07-08       Impact factor: 4.335

5.  Sensorimotor Peak Alpha Frequency Is a Reliable Biomarker of Prolonged Pain Sensitivity.

Authors:  Andrew J Furman; Mariya Prokhorenko; Michael L Keaser; Jing Zhang; Shuo Chen; Ali Mazaheri; David A Seminowicz
Journal:  Cereb Cortex       Date:  2020-11-03       Impact factor: 5.357

6.  Multimodal distribution of human cold pain thresholds.

Authors:  Jörn Lötsch; Violeta Dimova; Isabel Lieb; Michael Zimmermann; Bruno G Oertel; Alfred Ultsch
Journal:  PLoS One       Date:  2015-05-20       Impact factor: 3.240

7.  Identification of Molecular Fingerprints in Human Heat Pain Thresholds by Use of an Interactive Mixture Model R Toolbox (AdaptGauss).

Authors:  Alfred Ultsch; Michael C Thrun; Onno Hansen-Goos; Jörn Lötsch
Journal:  Int J Mol Sci       Date:  2015-10-28       Impact factor: 5.923

8.  Quantitative sensory testing response patterns to capsaicin- and ultraviolet-B-induced local skin hypersensitization in healthy subjects: a machine-learned analysis.

Authors:  Jörn Lötsch; Gerd Geisslinger; Sarah Heinemann; Florian Lerch; Bruno G Oertel; Alfred Ultsch
Journal:  Pain       Date:  2018-01       Impact factor: 6.961

9.  A Randomized, Double-Blind, Placebo- and Active Comparator-Controlled Phase I Study of Analgesic/Antihyperalgesic Properties of ASP8477, a Fatty Acid Amide Hydrolase Inhibitor, in Healthy Female Subjects.

Authors:  Klaus Schaffler; Ashraf Yassen; Peter Reeh; Paul Passier
Journal:  Pain Med       Date:  2018-06-01       Impact factor: 3.750

Review 10.  Machine learning in pain research.

Authors:  Jörn Lötsch; Alfred Ultsch
Journal:  Pain       Date:  2018-04       Impact factor: 6.961

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