Erythromelalgia Cell Models for Research
Disease Burden and Research Significance
Erythromelalgia is a rare neurovascular disorder characterized by episodes of severe burning pain, erythema, and increased temperature in the extremities. The exact prevalence is unknown, but it is estimated to affect 1-2 per 100,000 individuals. It can occur at any age, with a slight female predominance. Primary erythromelalgia is often associated with mutations in the SCN9A gene, encoding the voltage-gated sodium channel Nav1.7. Secondary erythromelalgia can be caused by myeloproliferative disorders, autoimmune conditions, or medications. The disease significantly impacts quality of life, with patients experiencing chronic pain and disability. There is no cure, and treatment is symptomatic, including cooling, elevation, and medications such as lidocaine, mexiletine, and anticonvulsants. Research is crucial to understand the pathophysiology and develop targeted therapies.
Erythromelalgia serves as an excellent model for studying pain mechanisms, particularly the role of voltage-gated sodium channels in nociception. The monogenic nature of primary erythromelalgia allows for precise genetic manipulation in cell models to study genotype-phenotype correlations. Public datasets, such as ClinVar and the NCBI Gene database, provide comprehensive information on SCN9A mutations. Open questions include the mechanisms of channel hyperexcitability, the role of other genetic modifiers, and the development of targeted therapies. Gene-edited cell models, such as SCN9A knockout or knock-in lines, are invaluable for functional studies and drug screening.
Core Molecular Pathogenesis
The primary pathway involved in erythromelalgia is the voltage-gated sodium channel signaling pathway. Mutations in SCN9A lead to hyperexcitability of dorsal root ganglion (DRG) neurons, causing increased pain signaling.
1. SCN9A encodes the alpha subunit of Nav1.7, a voltage-gated sodium channel.
2. Mutations cause a gain-of-function, leading to enhanced channel activity and lowered activation threshold.
3. This results in hyperexcitability of nociceptive neurons, increasing pain transmission.
4. Other pathways may include inflammatory mediators and neuroimmune interactions, but the primary defect is in sodium channel function.
| Gene | Frequency (%) | Mutation Type | Functional Effect |
|---|---|---|---|
| SCN9A | ~30% in primary erythromelalgia | Missense, gain-of-function | Enhanced Nav1.7 activity, hyperexcitability |
| SCN10A | Rare | Missense | Altered Nav1.8 function |
| SCN11A | Rare | Missense | Altered Nav1.9 function |
Data from ClinVar and NCBI Gene.
The primary deregulated network is the voltage-gated sodium channel signaling, but downstream pain signaling pathways are also affected.
- • Voltage-gated sodium channels (Nav1.7, Nav1.8, Nav1.9)
- • Pain signaling pathways (TRPV1, TRPA1)
- • Inflammatory mediators (prostaglandins, cytokines)
- • Neuronal excitability regulators (K+ channels, Ca2+ channels)
Experimental Model Systems
| Cell Line | Origin | Key Mutations |
|---|---|---|
| SH-SY5Y | Human neuroblastoma | Wild-type SCN9A |
| ND7/23 | Mouse neuroblastoma × rat DRG hybrid | Wild-type SCN9A |
| HEK293 | Human embryonic kidney | Transfected with mutant SCN9A |
| iPSC-derived DRG neurons | Human induced pluripotent stem cells | Patient-specific mutations |
Organoids, such as DRG organoids, can recapitulate the 3D architecture and cellular diversity of sensory ganglia, providing a more physiologically relevant model for studying erythromelalgia.
Animal models for erythromelalgia are limited, but some exist:
- • Transgenic mice carrying SCN9A mutations (e.g., knock-in of human mutations) show increased pain sensitivity.
- • Conditional knockout mice for SCN9A in nociceptors have been generated.
- • Induced models using inflammatory agents can mimic some symptoms.
However, these models do not fully recapitulate the human condition, and gene-edited cell models are often preferred for mechanistic studies.
CRISPR-based gene editing has enabled the creation of isogenic cell lines with specific SCN9A mutations. These models are essential for studying the functional consequences of mutations and for drug screening.
- • SCN9A knockout cell lines: In these lines, the SCN9A gene is disrupted, leading to loss of Nav1.7 function. They are used to study the role of Nav1.7 in pain signaling and to validate on-target effects of drugs.
- • SCN9A knock-in cell lines: These lines carry specific patient-derived mutations (e.g., I848T, L858H) and are used to study gain-of-function effects and screen for channel blockers.
- • Isogenic pairs: A wild-type and mutant line with the same genetic background allow for direct comparison, reducing confounding factors.
Commercially available, sequence-verified models accelerate research by providing reliable and reproducible tools. These models are generated using CRISPR-Cas9 technology and are validated for correct editing and functional expression.
Related Disease
| Disease name | Disease type |
|---|
Related Services
Related Products
| Product name | Cat.No. | Species | Gene ID | |
|---|---|---|---|---|
| TRPV3 Overexpression HEK293 Stable Cell Line | EDJ-GQ76 | Human | 162514 | Details Get a Quote |
| SCN10A Overexpression HEK293T Stable Cell Line | EDC01586 | Human | 6336 | Details Get a Quote |
| GLA Knockout HEK293 Cell Line | EDJ-KQ198 | Human | 2717 | Details Get a Quote |
| GLA Knockout HEK293T Cell Line | EDJ-KQ205 | Human | 2717 | Details Get a Quote |
| SCN3A Knockout HEK293 Cell Line | EDJ-KQ2930 | Human | 6328 | Details Get a Quote |
| THBD Knockout HEK293 Cell Line | EDJ-KQ3232 | Human | 7056 | Details Get a Quote |
| C3 Knockout HEK293 Cell Line | EDJ-KQ3837 | Human | 718 | Details Get a Quote |
| SCN1A Knockout HEK293 Cell Line | EDJ-KQ3858 | Human | 6323 | Details Get a Quote |
| SCN9A Knockout HEK293 Cell Line | EDJ-KQ3932 | Human | 6335 | Details Get a Quote |
| SCN10A Knockout HEK293 Cell Line | EDJ-KQ4977 | Human | 6336 | Details Get a Quote |
| SCN2B Knockout HEK293 Cell Line | EDJ-KQ5716 | Human | 6327 | Details Get a Quote |
| SCN4A Knockout HEK293 Cell Line | EDJ-KQ5718 | Human | 6329 | Details Get a Quote |
| SCN4B Knockout HEK293 Cell Line | EDJ-KQ5719 | Human | 6330 | Details Get a Quote |
| SCN8A Knockout HEK293 Cell Line | EDJ-KQ5720 | Human | 6334 | Details Get a Quote |
| SCN7A Knockout HEK293 Cell Line | EDJ-KQ5723 | Human | 6332 | Details Get a Quote |
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Applications of Gene-Edited Cells
Gene-edited cell models are used to validate the function of SCN9A and other genes in pain pathways. For example, knocking out SCN9A in a neuronal cell line can confirm its role in sodium currents and action potential firing. Knock-in of specific mutations can reveal their impact on channel kinetics and neuronal excitability. These models are also used to identify genetic modifiers and to study gene-environment interactions.
Isogenic pairs of wild-type and mutant SCN9A cell lines are ideal for high-throughput screening of sodium channel blockers. By comparing the effects of compounds on mutant versus wild-type channels, researchers can identify selective inhibitors that target the mutant channel while sparing the normal one. This approach is crucial for developing personalized therapies. Additionally, these models can be used to study drug resistance mechanisms, such as mutations that alter drug binding.
CRISPR-based synthetic lethality screens can identify genes that are essential for the survival of cells with mutant SCN9A. This can lead to the discovery of novel therapeutic targets and biomarkers. For example, if a specific kinase is required for the hyperexcitability of mutant neurons, inhibiting that kinase could be a potential treatment. Gene-edited cell models are also used to identify biomarkers of disease progression and treatment response.
Public Data Resources
| Database | URL | Description |
|---|---|---|
| ClinVar | https://www.ncbi.nlm.nih.gov/clinvar/ | Curated database of genetic variants and their clinical significance |
| NCBI Gene | https://www.ncbi.nlm.nih.gov/gene/ | Gene information for SCN9A and others |
| UniProt | https://www.uniprot.org/ | Protein sequence and functional information for Nav1.7 |
| DepMap | https://depmap.org/ | Cancer dependency map, but includes gene expression and dependency data |
| GEO | https://www.ncbi.nlm.nih.gov/geo/ | Gene expression omnibus for microarray and RNA-seq data |
| COSMIC | https://cancer.sanger.ac.uk/cosmic | Catalog of somatic mutations in cancer, but may include relevant data |
Frequently Asked Research Questions
What is the most common gene mutated in primary erythromelalgia?
How do SCN9A mutations cause pain?
What cell models are available for studying erythromelalgia?
How can CRISPR gene editing help in erythromelalgia research?
Are there animal models for erythromelalgia?
Key References and Database URLs
| WHO | https://www.who.int/ |
|---|---|
| NCI | https://www.cancer.gov/ |
| NCBI Gene | https://www.ncbi.nlm.nih.gov/gene/ |
| ClinVar | https://www.ncbi.nlm.nih.gov/clinvar/ |
| UniProt | https://www.uniprot.org/ |
| DepMap | https://depmap.org/ |
| COSMIC | https://cancer.sanger.ac.uk/cosmic |
| GEO | https://www.ncbi.nlm.nih.gov/geo/ |