SCN9A (Nav1.7) Expression Profile & Safety Assessment for Pain Drug Development
I'm developing a drug that inhibits SCN9A (Nav1.7 sodium channel) for chronic pain treatment. Before clinical trials, I need to understand the …
I'm developing a drug that inhibits SCN9A (Nav1.7 sodium channel) for chronic pain treatment. Before clinical trials, I need to understand the expression profile of SCN9A to anticipate potential off-target effects: (1) Which tissues express SCN9A most highly? (2) Are there any non-pain-related tissues with significant expression that could indicate safety concerns? (3) What phenotypes are associated with SCN9A dysfunction in humans?
Structured Data Sources
This answer was generated using Claude Opus 4.5 + BioBTree MCP, querying 8 biological databases.
Further analyze this answer or run your own queries with BioBTree MCP.
bgee, bgee_evidence, clinvar, ensembl, gencc, hgnc, hpo, mondoView API calls (16)
- search(SCN9A) https://sugi.bio/biobtree/api/search?i=SCN9A
- map(ENSG00000169432, >>ensembl>>bgee) https://sugi.bio/biobtree/api/map?i=ENSG00000169432&m=%3E%3Eensembl%3E%3Ebgee
- map(HGNC:10597, >>hgnc>>hpo) https://sugi.bio/biobtree/api/map?i=HGNC%3A10597&m=%3E%3Ehgnc%3E%3Ehpo
- map(HGNC:10597, >>hgnc>>clinvar) https://sugi.bio/biobtree/api/map?i=HGNC%3A10597&m=%3E%3Ehgnc%3E%3Eclinvar
- entry(ENSG00000169432, bgee) https://sugi.bio/biobtree/api/entry?i=ENSG00000169432&s=bgee
- map(ENSG00000169432, >>ensembl>>bgee>>bgee_evidence) https://sugi.bio/biobtree/api/map?i=ENSG00000169432&m=%3E%3Eensembl%3E%3Ebgee%3E%3Ebgee_evidence
- search(SCN9A, gencc) https://sugi.bio/biobtree/api/search?i=SCN9A&s=gencc
- search(congenital insensitivity to pain, mondo) https://sugi.bio/biobtree/api/search?i=congenital%20insensitivity%20to%20pain&s=mondo
- search(erythromelalgia, mondo) https://sugi.bio/biobtree/api/search?i=erythromelalgia&s=mondo
- entry(MONDO:0007571, mondo) https://sugi.bio/biobtree/api/entry?i=MONDO%3A0007571&s=mondo
- search(paroxysmal extreme pain disorder, mondo) https://sugi.bio/biobtree/api/search?i=paroxysmal%20extreme%20pain%20disorder&s=mondo
- search(channelopathy-associated insensitivity to pain, mondo) https://sugi.bio/biobtree/api/search?i=channelopathy-associated%20insensitivity%20to%20pain&s=mondo
- entry(MONDO:0008179, mondo) https://sugi.bio/biobtree/api/entry?i=MONDO%3A0008179&s=mondo
- search(indifference to pain, mondo) https://sugi.bio/biobtree/api/search?i=indifference%20to%20pain&s=mondo
- map(MONDO:0007571, >>mondo>>hpo) https://sugi.bio/biobtree/api/map?i=MONDO%3A0007571&m=%3E%3Emondo%3E%3Ehpo
- map(MONDO:0008179, >>mondo>>hpo) https://sugi.bio/biobtree/api/map?i=MONDO%3A0008179&m=%3E%3Emondo%3E%3Ehpo
SCN9A (Nav1.7) Safety Profile Assessment
1. Tissue Expression Profile (Bgee Data) Highest Expression Tissues (Expression Score):
| Tissue | Score | Category |
|---|---|---|
| Sural nerve | 90.90 | ✅ Pain pathway (target) |
| Dorsal root ganglion | 88.05 | ✅ Pain pathway (target) |
| Stromal cell of endometrium | 83.65 | ⚠️ Reproductive |
| Trigeminal ganglion | 80.31 | ✅ Pain pathway (target) |
| Male germ cells (testis) | 78.17 | ⚠️ Reproductive |
| Calcaneal tendon | 77.85 | Connective tissue |
| Colonic epithelium | 77.13 | ⚠️ GI tract |
| Tibial nerve | 76.87 | ✅ Pain pathway |
| Liver | 76.30 | ⚠️ Metabolic |
| Testis | 73.52-76.06 | ⚠️ Reproductive |
| Hypothalamus | 73.45 | ⚠️ CNS/Autonomic |
| Islets of Langerhans | 72.88 | ⚠️ Pancreatic endocrine |
| Colon (various) | 71-74 | ⚠️ GI tract |
| Spleen | 71.79 | Immune |
| Coronary arteries | 58-60 | ⚠️ Cardiovascular |
2. Non-Pain Tissues with Safety Concerns
| System | Tissues | Potential Concern |
|---|---|---|
| Reproductive | Testis, endometrial stroma, germ cells | Fertility effects |
| Gastrointestinal | Colonic epithelium, rectum, small intestine | GI motility, secretion |
| Cardiovascular | Coronary arteries, heart regions | Cardiac conduction |
| Endocrine | Pancreatic islets, pituitary, hypothalamus | Glucose homeostasis, autonomic function |
| Hepatic | Liver | Metabolic effects |
| Autonomic CNS | Hypothalamus, substantia nigra | Autonomic regulation |
3. Human Phenotypes from SCN9A Dysfunction Loss-of-function mutations (relevant to your inhibitor):
| Phenotype | HPO ID | Clinical Relevance |
|---|---|---|
| Pain insensitivity | HP:0007021 | Desired effect |
| Anosmia (loss of smell) | HP:0000458 | Well-documented |
| Hyposmia | HP:0004409 | Olfactory deficit |
| Anhidrosis | HP:0000970 | Sweat gland dysfunction |
| Hypohidrosis | HP:0000966 | Reduced sweating |
| Xerostomia (dry mouth) | HP:0000217 | Salivary gland effect |
| Lacrimation abnormality | HP:0000632 | Tear production |
| Constipation | HP:0002019 | GI dysmotility |
| Diarrhea | HP:0002014 | GI effects |
| Bradycardia | HP:0001662 | Cardiac effect |
| Tachycardia | HP:0001649 | Cardiac effect |
| Hypothermia | HP:0002045 | Thermoregulation |
| Condition | Mutation Type | Key Features |
|---|---|---|
| Congenital insensitivity to pain (OMIM:243000) | Loss-of-function | Complete pain insensitivity, anosmia |
| Primary erythermalgia (MONDO:0007571) | Gain-of-function | Burning pain, flushing |
| Paroxysmal extreme pain disorder (MONDO:0008179) | Gain-of-function | Rectal/ocular/submandibular pain |
4. Safety Implications Summary High-Priority Monitoring Areas for Clinical Trials:
- Olfactory function - Anosmia is consistently observed in SCN9A loss-of-function; include smell testing
- Autonomic function - Sweating, tear/saliva production, thermoregulation
- GI motility - Constipation/diarrhea monitoring
- Cardiac - ECG monitoring for conduction effects
- Reproductive - Consider fertility assessments given testicular expression
- Glucose homeostasis - Monitor given pancreatic islet expression Favorable Safety Signals:
Individuals with congenital SCN9A loss-of-function are otherwise healthy and have normal lifespan
No major organ dysfunction reported beyond sensory/autonomic phenotypes Risk Mitigation Considerations:
Peripheral-restricted inhibitors may reduce CNS/autonomic effects
Dose-response characterization for olfactory function
Short-acting formulations may reduce cumulative autonomic effects This analysis should help inform your clinical trial design. The anosmia risk is the most well-established off-target effect - consider including validated smell tests (e.g., UPSIT) in your safety monitoring protocol.