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A clinical genetic method to identify mechanisms by which pain causes depression and anxiety

Mitchell B Max1*, Tianxia Wu2, Steven J Atlas3, Robert R Edwards4, Jennifer A Haythornthwaite4, Antonella F Bollettino16, Heather S Hipp16, Colin D McKnight16, Inge A Osman16, Erin N Crawford16, Maryland Pao5, Jemiel Nejim167, Albert Kingman2, Daniel C Aisen16, Michele A Scully16, Robert B Keller8, David Goldman6 and Inna Belfer16

Author Affiliations

1 Clinical Pain Research Section, Division of Intramural Research, National Institute of Dental and Craniofacial Research, National Institutes of Health, DHHS, Bethesda, MD, USA

2 Statistics Core, Division of Population and Health Promotion Sciences, National Institute of Dental and Craniofacial Research National Institutes of Health, DHHS, Bethesda, MD, USA

3 General Medicine Division and the Clinical Epidemiology Unit, Medical Services, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA

4 Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA

5 Office of the Clinical Director, National Institute of Mental Health, National Institutes of Health, DHHS, Bethesda, MD, USA

6 Laboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, DHHS, Rockville, MD, USA

7 Howard Hughes Medical Institute, Bethesda, MD, USA

8 Maine Spine and Rehabilitation, Portland, ME, USA

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Molecular Pain 2006, 2:14  doi:10.1186/1744-8069-2-14

Published: 19 April 2006

Abstract

Background

Pain patients are often depressed and anxious, and benefit less from psychotropic drugs than pain-free patients. We hypothesize that this partial resistance is due to the unique neurochemical contribution to mood by afferent pain projections through the spino-parabrachial-hypothalamic-amygdalar systems and their projections to other mood-mediating systems. New psychotropic drugs for pain patients might target molecules in such brain systems. We propose a method to prioritize molecular targets by studying polymorphic genes in cohorts of patients undergoing surgical procedures associated with a variable pain relief response. We seek molecules that show a significant statistical interaction between (1) the amount of surgical pain relief, and (2) the alleles of the gene, on depression and anxiety during the first postoperative year.

Results

We collected DNA from 280 patients with sciatica due to a lumbar disc herniation, 162 treated surgically and 118 non-surgically, who had been followed for 10 years in the Maine Lumbar Spine Study, a large, prospective, observational study. In patients whose pain was reduced >25% by surgery, symptoms of depression and anxiety, assessed with the SF-36 Mental Health Scale, improved briskly at the first postoperative measurement. In patients with little or no surgical pain reduction, mood scores stayed about the same on average. There was large inter-individual variability at each level of residual pain. Polymorphisms in three pre-specified pain-mood candidate genes, catechol-O-methyl transferase (COMT), serotonin transporter, and brain-derived neurotrophic factor (BDNF) were not associated with late postoperative mood or with a pain-gene interaction on mood. Although the sample size did not provide enough power to persuasively search through a larger number of genes, an exploratory survey of 25 other genes provides illustrations of pain-gene interactions on postoperative mood – the mu opioid receptor for short-term effects of acute sciatica on mood, and the galanin-2 receptor for effects of unrelieved post-discectomy pain on mood one year after surgery.

Conclusion

Genomic analysis of longitudinal studies of pain, depression, and anxiety in patients undergoing pain-relieving surgery may help to identify molecules through which pain alters mood. Detection of alleles with modest-sized effects will require larger cohorts.