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Published on: February 22, 2019
Patterns of pain: meta-analysis of microarray studies of pain
Michael L LaCroix-Fralish1, Jean-Sebastien Austin, Felix Y Zheng
1Department of Psychology, McGill University, Montreal, QC, Canada H3A 1B1 Department of Anesthesia Research, Faculty of Dentistry, McGill University, Montreal, QC, Canada H3A 1B1 Alan Edwards Centre for Research on Pain, McGill University, Montreal, QC, Canada H3A 1B1.
Abstract:
Existing microarray gene expression profiling studies of tonic/chronic pain were subjected to meta-analysis to identify genes found to be regulated by these pain states in multiple, independent experiments. Twenty studies published from 2002 to 2008 were identified, describing the statistically significant regulation of 2254 genes. Of those, a total of 79 genes were found to be statistically significant "hits" in 4 or more independent microarray experiments, corresponding to a conservative P<0.01 overall. Gene ontology-based functional annotation clustering analyses revealed strong evidence for regulation of immune-related genes in pain states. A multi-gene quantitative real-time polymerase chain reaction experiment was run on dorsal root ganglion (DRG) and spinal cord tissue from rats and mice given nerve (sciatic chronic constriction; CCI) or inflammatory (complete Freund's adjuvant) injury. We independently confirmed the regulation of 43 of these genes in the rat-CCI-DRG condition; the genetic correlates in all other conditions were largely and, in some cases, strikingly, independent. However, a handful of genes were identified whose regulation bridged etiology, anatomical locus, and/or species. Most notable among these were Reg3b (regenerating islet-derived 3 beta; pancreatitis-associated protein) and Ccl2 (chemokine [C-C motif] ligand 2), which were significantly upregulated in every condition in the rat.
Insights
This meta-analysis identified 79 key genes consistently regulated in chronic pain states across multiple studies. Immune-related genes were prominent, with Reg3b and Ccl2 showing broad upregulation in rat models.
Area of Science:
- Neuroscience
- Genetics
- Immunology
Background:
- Chronic pain affects millions globally, with complex underlying genetic mechanisms.
- Previous gene expression studies have yielded numerous candidate genes, but consistency across studies is lacking.
Purpose of the Study:
- To identify consistently regulated genes across multiple chronic pain microarray studies using meta-analysis.
- To functionally annotate identified genes and validate key candidates in animal models.
Main Methods:
- Meta-analysis of 20 published microarray studies (2002-2008) on tonic/chronic pain.
- Gene ontology-based functional annotation clustering.
- Quantitative real-time polymerase chain reaction validation in rat and mouse models of nerve injury and inflammation.
Main Results:
- Identified 2254 statistically significant genes, with 79 genes consistently regulated (P<0.01) in 4+ independent experiments.
- Functional annotation revealed significant enrichment of immune-related genes.
- Validated 43 genes in rat sciatic chronic constriction injury (CCI) model; Reg3b and Ccl2 were upregulated across multiple rat pain conditions.
Conclusions:
- Meta-analysis reveals a core set of genes, particularly immune-related, involved in chronic pain.
- Gene expression patterns can be specific to pain etiology, location, and species.
- Reg3b and Ccl2 represent promising conserved targets for chronic pain research.
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