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Multi-Modal Signals for Analyzing Pain Responses to Thermal and Electrical Stimuli
Published on: April 5, 2019
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Multimodal distribution of human cold pain thresholds
Jörn Lötsch1, Violeta Dimova2, Isabel Lieb3
1Institute of Clinical Pharmacology, Goethe-University, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany; Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Project Group Translational Medicine and Pharmacology TMP, Theodor-Stern-Kai 7, 60596, Frankfurt am Main, Germany.
Plos One
|May 21, 2015
Summary
Cold pain perception in healthy individuals shows distinct patterns, suggesting different molecular mechanisms. This study identifies three distinct cold pain sensing groups, likely linked to specific ion channels like TRPM8 and TRPA1.
Area of Science:
- Neuroscience
- Pain Research
- Molecular Biology
Background:
- Pain phenotypes are thought to arise from diverse molecular mechanisms.
- Specific ion channels, including Transient Receptor Potential Melastatin 8 (TRPM8) and Transient Receptor Potential Ankyrin 1 (TRPA1), are implicated in cold pain perception.
Purpose of the Study:
- To analyze the distribution of cold pain thresholds (CPT) in healthy volunteers.
- To investigate if the multimodality of CPT distribution supports the hypothesis of distinct ion channel contributions to cold pain sensing.
Main Methods:
- Cold pain thresholds (CPT) data from 329 healthy volunteers were analyzed.
- Kernel density estimation and a Gaussian Mixture Model (GMM) were used to analyze the distribution of log-transformed CPT data.
Main Results:
- CPT data exhibited a clear multimodal distribution.
- A three-model Gaussian Mixture Model provided the best fit for the log-transformed CPT data.
- The identified modes corresponded to mean stimulation temperatures of 23.7 °C, 13.2 °C, and 1.5 °C.
Conclusions:
- The first two identified Gaussian modes suggest the involvement of two distinct cold sensors.
- The temperature ranges align with the known sensing properties of TRPM8 (around 25-24 °C) and TRPA1 (around 17 °C).
- These findings support the use of advanced analytical methods to identify mechanistically distinct patterns within pain phenotype data.
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