Background and aims: The broad diversity of chronic pain conditions needs a better understanding of the underlying pathophysiology which can be described by disease pathways. The aim of this work was to generate an integrated disease pathway map for pain that contains major pathophysiological components like involved cell types, miRNA and inflammatory regulations that allows to identify overlapping and unique pathways for disease understanding of the pathophysiology and identification of novel therapeutic interventions.
Methods: CRPS, Endometriosis, Vulvodynia, Spinal cord injury pain, Radiculopathy, Small fiber neuropathy (CIPN, DPN), Fibromyalgia and chronic post-operative pain have been selected to cover a brought range of pathophysiology. Pubmed searches were used to compile omics results from genomics, proteomics, transcriptomics and miRNA to build databases of associations and regulations in disease tissue. Subsequent pathway analysis using gene set enrichment analysis have been integrated into a BigPainMap.
Results: Overlapping and unique pain pathways in 8 different indications have been identified including relevant description of the pathophysiology: Dorsal horn root ganglion neuron, Ca/Na ion channels, ASICs, P2X, GluR, TRPs, NMDA, miRNA regulation, GABA-, glutamate- and histaminergic neurons, microglia/astrocytes, inflammation/mediators, neuropeptide/hormone signaling, blood vessels, apoptosis, oxidative stress, primary sensory neuron, adrenergic pain modulation and the complement system. 
Conclusions: Successful generation of an integrated disease pathway map for disease understanding and underlying pathophysiology in pain. Identification of overlapping and unique pathways for 8 indications.

FUNCTIONAL OMICS APPROACH TO IDENTIFY OVERLAPPING AND UNIQUE PAIN PATHWAYS