1 / 51

Genetic and environmental influences on the transition from acute to chronic pain

Genetic and environmental influences on the transition from acute to chronic pain. Ze’ev Seltzer, DMD Professor of Genetics Canada Senior Research Chair University of Toronto CTR for the Study of Pain. Presentation outline. Pathophysiology of the transition from acute to chronic pain

chars
Download Presentation

Genetic and environmental influences on the transition from acute to chronic pain

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Genetic and environmental influences on the transition from acute to chronic pain Ze’ev Seltzer, DMD Professor of Genetics Canada Senior Research Chair University of Toronto CTR for the Study of Pain

  2. Presentation outline • Pathophysiology of the transition from acute to chronic pain • Comparative pain genetics • Animal models • Heritability and genetic assays • Expected gains for pain medicine

  3. Brief update Pathophysiology of the transition from acute to chronic pain

  4. What triggers the transition? - I • Electrical signal (“Injury discharge”; online/msec) Brain Totally denervated limb DRGs L3 Saphenous N L4 Spinal gate L5 L6 Sciatic N Dorsal roots

  5. Injury discharge Recording from a single neuron 2. Electrical shock to determine fiber class: Aβ-δ; C Peripheral nerve 3. Cut • 1. Noxious & nonnoxious • stimuli

  6. 500 400 חיתוך 300 200 120 100 Firing frequency (Hz) 60 33% of cut C-fibers 25% of cut A-fibers Time after cut (min) 400 200 600 800 1000 time (sec) Nerve cut Injury discharge Firing frequency (Hz) Prolonged “saw tooth” type 12% of cut afferents Lasts hours 0 Time after cut (sec) 0 Nerve cut Sackstein et al (1999)

  7. Injury discharge triggers neuropathic pain - I Preemptive analgesia Vhcl Neuropathic pain score Local anesthetic Efficacy of preemptive analgesia in humans is debated in the literature Seltzer et al (1990a)

  8. What triggers the transition? - II • Chemical signal(s) (Neurotrophic factors: e.g., NGF; hrs/days) Partially denervated limb DRGs L3 Saphenous N L4 Spinal gate L5 L6 Sciatic N Dorsal roots NGF

  9. Neuroplastic changes following nerve injury DRGs Partially denervated limb Saphenous N Sciatic N • PNS changes: • Neuroma formation

  10. Neuroplastic changes following nerve injury DRGs Partially denervated limb Sciatic N • PNS changes: • Neuroma formation • Spontaneous firing Production of novel Na+ channels Assembly in neuroma and DRG

  11. Neuroplastic changes following nerve injury DRGs Partially denervated limb Sciatic N • PNS changes: • Neuroma formation • Spontaneous firing • Firing induced by • chemical mediators (histamine, bradykinin…) • Mechanical stimuli (e.g., malfitting prosthesis) • electrical stimuli (cross-talk, ephapses)

  12. Neuroplastic changes following nerve injury (cont.) DRGs Partially denervated limb Saphenous N Sciatic N Sympathetic-Sensory link Via NA & α2-AR

  13. DRGs Partially denervated limb Saphenous N Neuroplastic changes following nerve injury (cont.) Sciatic N • CNS changes: • Loss of Io & IIo/ microglia reaction / astroglia • Loss of receptors (e.g., opioid rec.) •  mediators + phenotypic switch (e.g., GABA depolarizes) • Rewiring of the pain network: •  tuning curves; novel modalities • RFs • segmental disinhibition • central sensitization • reduced efficacy of descending inhibition

  14. DRGs Partially denervated limb Saphenous N Neuroplastic changes following nerve injury (cont.) Sciatic N • CNS changes: • Loss of Io & their terminals / microglia reaction / astroglia • Loss of receptors (e.g., opioid rec.) •  mediators + phenotypic switch (e.g., GABA depolarizes) • Rewiring of the pain network: •  tuning curves; novel modalities • RFs • segmental disinhibition • central sensitization • reduced efficacy of descending inhibition

  15. Comparative approach: Animal models used in pain genetics

  16. Genetic selection based on spontaneous neuropathic pain Wistar Sabra Lewis -~hundreds Neuropathic pain score Currently generation 53 Devor and Raber 1990, 2005 Neuropathic pain scores Neuropathic pain scores

  17. Neuropathic pain levels are strain specific / 2 species Var Pain = Var Gen + Var Env Neuropathic pain scores Mice (AXB-BXA Recombinant strains) Parental strains Seltzer & Shir (1998) Seltzer et al (2001)

  18. Stimulus-evoked chronic pain is also determined genetically PSL model Partial Sciatic tight Ligation DRGs Partially denervated limb L3 Dorsal roots Spinal nerves L4 Sciatic N L5 L6 ~½ sciatic thickness trapped in a ligature Seltzer, Dubner, Shir (1990)

  19. Pain abnormalities in the PSL model - I Tactile allodynia: Intact PSL Baseline Withdrawal threshold (g) Allodynia Time (days) Shir & Seltzer (1998)

  20. Pain abnormalities in the PSL model - II Heat hyperalgesia: Hyperalgesia Intact PSL Baseline PSL Response duration (sec) Time (days) Shir & Seltzer (1998)

  21. Acute pain - Tactile allodynia - Heat hyperalgesia - Spontaneous pain RATS (Mogil et al. in mice) Spontaneous neuropathic pain (self-mutilation) Shir et al (2001)

  22. Acute pain sensitivity does not predict levels of chronic pain (3 different chronic pain models, 2 stimulus modalities, 2 species, 2 research groups). Levels of spontaneous chronic pain are not correlated with levels of stimulus-evoked chronic pain. If these results are translatable to humans, genes are ‘syndrome-specific’. Pharmaco-genetic solutions will have to be tailored per syndrome. Conclusions

  23. Heritability of chronic pain How much of the variance is accountable by genetics?

  24. 70 Vehicle Acetaminophen 60 50 Total Number of Writhes 40 * 30 20 * * * * 10 0 A 129 C58 AKR CBA RIIIS DBA/2 C3H/He BALB/c C57BL/6 C57BL/10 Heritability in rodents • Nociception: 30-76% mean ~ 53% • Anti-nociception / analgesia: 23-68% mean ~ 45% • Neuropathic pain (SNL, Autotomy, PSL): ~ 30-70% mean ~50% Mogil et al (2002)

  25. Heritability of painin humans • Pedigree analyses / twins studies: h2 ~ 0.2-0.7 (mean ~50%) • Sciatica • Diabetic neuropathy • Carpal tunnel syndrome • “Burning feet” syndrome • Post-herpetic neuralgia(HLA) • CRPS(HLA) • Fibromyalgia(HLA;5HTTP1) • Low back pain / Sciatica(GCH1; BDNF) • Migraine(Cacna1a, ATP1A2, …) • TMD - Temporo-Mandibular Pain Disorder(COMT) • Phantom limb pain / stump pain(HLA, GCH1, GDNF) • Post-Mastectomy Pain Syndrome (COMT, GCH1)

  26. Phenomics of chronic pain as a complex trait

  27. Different genes for different phenotypes Spatial Intensity Past painful experiences Temporal Type Impact on QoL Education Catastro- phizing Beliefs about pain Aggravating / Relieving factors Other

  28. Chronic pain phenomics • Choosing the right phenotypes for genetics: • Clinical relevance • Mechanism-based • N traits vs. multiple comparisons (“Bonferroni correction”) • Pooling / Indexing / Loosing resolution • Endophenotypes

  29. The Human Pain Phenome Project Detailed registry of previous chronic pain episodes Aetiology and medical history Detailed phenotypes Tests (QST, electrodiagnosis, imaging, biochemistry) Treatment effects Additional traits: life style, personality / character Bioinformatics / data mining

  30. Expected gains in pain genetics

  31. - Diagnostic kits - Prognostic kits - Preventive pain medicine - Novel painkillers- New mechanisms- Gene therapy- Better animal models- Faster / cheaper clinical trials

  32. - Diagnostic kits - Prognostic kits - Preventive pain medicine - Novel painkillers- New mechanisms- Gene therapy- Better animal models- Faster / cheaper clinical trials

  33. - Diagnostic kits - Prognostic kits - Preventive pain medicine - Novel painkillers- New mechanisms- Gene therapy- Better animal models- Faster / cheaper clinical trials

  34. United States Congress declared: 2001-2010: The Decade of Pain Control and Research The Human Genome Project has developed methodological templates that can be transposed immediately to pain genetics. This is the time to: • Establish new research teams • Support the collections of DNA samples / multicenter approach • Finance genome-wide screens using microarray chips (1,000 samples X $ 500/ sample = $ 0.5 million / syndrome) Proposed goal for 2010:First draft listing all major chronic pain genes in humans and mice. Given the right support – this is achievable !

  35. Injury discharge triggers neuropathic pain - II Electrical tetanization C-fibers “Wind-up” (0.5Hz) C-fibers (0.1Hz) A-fibers Neuropathic pain score CON Local anesthetic Postoperative time (days) Seltzer et al (1990b)

  36. Neuroplastic changes following nerve injury (cont.) Spontaneous firing in intact DRGs DRGs Saphenous N Partially denervated limb Sciatic N

  37. Activity in neuroma and DRG causes pain Devor et al (1999) Resection / RF / neurolysis of painful neuroma & GG - sometime successful

  38. Different genes for different phenotypes Spatial Intensity Past painful experiences Temporal Type Impact on QoL Education Catastro- phizing Beliefs about pain Aggravating / Relieving factors Other

  39. Phenomics of chronic pain as a complex trait

  40. Chronic pain phenomics • Choosing the right phenotypes for genetics: • Clinical relevance • Mechanism-based • N traits vs. multiple comparisons (“Bonferroni correction”) • Pooling / Indexing / Loosing resolution • Endophenotypes

  41. The Human Pain Phenome Project Detailed registry of previous chronic pain episodes Aetiology and medical history Detailed phenotypes Tests (QST, electrodiagnosis, imaging, biochemistry) Treatment effects Additional traits: life style, personality / character Bioinformatics / data mining

  42. Acute pain - Tactile allodynia - Heat hyperalgesia - Spontaneous pain MICE Mogil et al (1999) % Allodynic mice % Hyperalgesic mice Spontaneous pain (self-mutilation) Neuropathic pain score Mogil et al (1999)

  43. Thousands/~25K genes in the human genome encode the chronic pain network Sensory-discriminative Affective Cognitive “Social” pain genes Nocifension / reflexive

  44. Shall we need to control thousands to treat pain ? • No • Most genes have been fixed throughout evolution • (e.g., “Painless” for noxious heat in the fly larva) • While many have Single Nucleotide Polymorphisms (SNPs) • Only a small fraction are functional, even fewer clinically relevant • So how many will have to treated to treat a given pain syndrome? • Not known as of yet • Guess: ~5 ‘major’ and up to ~15 ‘modifiers’ per syndrome

  45. How many genes would have to be pharmaco-genetically controlled to provide solutions for a pain syndrome?

  46. Neuroplastic changes following nerve injury (cont.) Collateral sprouting DRGs Saphenous N Aδ-fibers Sciatic N

  47. Genetic and environmental influences on the transition from acute to chronic pain Ze’ev Seltzer, DMD Professor of Genetics Canada Senior Research Chair University of Toronto CTR for the Study of Pain

  48. The case of Roni A. (male , age 44, contractor) • 1995 - suffered an accident at work • L. brachial plexus avulsion • L. hand numb and painful • L. hand paralysed at an awkward position

  49. 1997 – surgical relocation of the arm • 2002 – amputation of the hand • Telescoping • Triggering the phantom from the face/arm • Exacerbation of pain • When symp system aroused • Changing weather • When attempting to move phantom

More Related