Muckle-Wells Syndrome (MWS) Cell Models for Research

Disease Burden and Research Significance

Epidemiology and Clinical Impact

Muckle-Wells Syndrome (MWS) is a rare autoinflammatory disease with an estimated prevalence of 1 in 1,000,000. It is one of the cryopyrin-associated periodic syndromes (CAPS) caused by gain-of-function mutations in the NLRP3 gene. Clinically, MWS presents with recurrent fever, urticarial rash, arthralgia, and progressive sensorineural hearing loss. If untreated, it can lead to amyloidosis and renal failure. The disease significantly impacts quality of life and requires lifelong management. Early diagnosis and treatment with IL-1 inhibitors have improved outcomes, but many patients still experience complications. Research into MWS is crucial for understanding inflammasome biology and developing targeted therapies.

Value as a Research Model

MWS serves as an excellent model for studying the NLRP3 inflammasome, a key component of innate immunity. The disease is monogenic, making it amenable to genetic manipulation. Public datasets, such as those from ClinVar and the Infevers registry, provide mutation information. Open questions include the precise molecular mechanisms of NLRP3 activation, the role of specific mutations in disease severity, and the development of resistance to IL-1 inhibitors. Gene-edited cell models enable functional studies of these mutations in a controlled environment.

Core Molecular Pathogenesis

Major Inflammatory Pathways

The central pathway in MWS is the NLRP3 inflammasome pathway. Steps include:

1. Priming: NF-κB activation upregulates NLRP3 and pro-IL-1β expression.

2. Activation: Mutated NLRP3 leads to constitutive or hyperactive inflammasome assembly.

3. Caspase-1 activation: Cleaves pro-IL-1β and pro-IL-18 into active cytokines.

4. Pyroptosis: Gasdermin D cleavage triggers inflammatory cell death.

Additionally, the NF-κB pathway is involved in priming, and the MAPK pathway may modulate cytokine production.

High-Frequency Genetic Alterations
GeneFrequency (%)Mutation TypeFunctional Effect
NLRP3~90%MissenseGain-of-function, enhanced inflammasome activation
NLRP3~5%DeletionLoss of autoinhibition
NLRP3~5%Splice-siteAltered protein function

Data from ClinVar and Infevers. Most mutations cluster in the NACHT domain.

Deregulated Signaling Networks

Key networks include:

  • • NLRP3 inflammasome: NLRP3, ASC, Caspase-1, IL-1β, IL-18.
  • • NF-κB signaling: TLRs, MyD88, IRAK, TRAF6, IKK complex.
  • • MAPK pathway: ERK, JNK, p38.
  • • Cytokine signaling: IL-1 receptor, IL-18 receptor.

These networks are interconnected; NLRP3 activation leads to cytokine release, which further amplifies inflammation.

Experimental Model Systems

Cell Lines and Organoids
Cell LineOriginKey Mutations
THP-1Monocytic leukemiaNLRP3 wild-type (can be edited)
U937Histiocytic lymphomaNLRP3 wild-type
HEK293Embryonic kidneyNLRP3 wild-type (often used for overexpression)
PBMC-derived macrophagesPrimaryPatient-specific mutations

Organoids derived from patient iPSCs are emerging as more physiologically relevant models, allowing study of tissue-specific effects.

Animal Models (PDX, GEMM, Induced)

Animal models for MWS include:

  • • GEMM (Genetically Engineered Mouse Models): Mice carrying NLRP3 mutations (e.g., A350V) recapitulate MWS symptoms.
  • • Induced models: Injection of uric acid crystals to activate NLRP3.
  • • PDX (Patient-Derived Xenografts): Not commonly used for MWS due to the immune nature, but humanized mice can be used.

These models are valuable for studying systemic inflammation and testing therapies.

Gene-Edited Cell Models

CRISPR-based gene editing allows the creation of isogenic cell lines with specific NLRP3 mutations. For example:

  • • NLRP3 knockout cell lines: Loss-of-function to study inflammasome inhibition.
  • • NLRP3 knock-in cell lines: Introduction of disease-associated mutations (e.g., A439V) to model hyperactivation.
  • • Reporter cell lines: IL-1β promoter-driven reporters to monitor pathway activation.

These models are commercially available, sequence-verified, and provide a controlled system for drug screening and mechanistic studies.

Related Disease

Disease name Disease type

Related Products

Product name Cat.No. Species Gene ID
NLRP3 Knockout MARC145 Cell Line EDJ-KQ78172 African green monkey 114548 Details Get a Quote
Nlrp3 Knockout BV-2 Cell Line EDC90056 Mouse 216799 Details Get a Quote
NLRP6 Knockout HCT 116 Cell Line EDJ-KQ21 Human 171389 Details Get a Quote
TNFRSF1A Knockout HEK293 Cell Line EDC90705 Human 7132 Details Get a Quote
IL1B Knockout HEK293 Cell Line EDJ-KQ140 Human 3553 Details Get a Quote
NLRC4 Knockout HEK293 Cell Line EDJ-KQ505 Human 58484 Details Get a Quote
IL1R1 Knockout HEK293 Cell Line EDJ-KQ568 Human 3554 Details Get a Quote
IL1A Knockout HEK293 Cell Line EDJ-KQ676 Human 3552 Details Get a Quote
AIM2 Knockout HEK293 Cell Line EDJ-KQ1059 Human 9447 Details Get a Quote
NLRP6 Knockout HEK293 Cell Line EDJ-KQ1132 Human 171389 Details Get a Quote
CASP1 Knockout HEK293 Cell Line EDJ-KQ1456 Human 834 Details Get a Quote
NOD2 Knockout HEK293 Cell Line EDJ-KQ1486 Human 64127 Details Get a Quote
ATP1A3 Knockout HEK293 Cell Line EDJ-KQ1821 Human 478 Details Get a Quote
PYCARD Knockout HEK293 Cell Line EDJ-KQ2182 Human 29108 Details Get a Quote
IL1RN Knockout HEK293 Cell Line EDJ-KQ3032 Human 3557 Details Get a Quote

Applications of Gene-Edited Cells

Functional Genomics

Gene-edited cells are used to validate the role of NLRP3 mutations in disease. For example, knocking in a specific mutation into a wild-type cell line can confer hyperactive inflammasome activity, confirming causality. Conversely, knocking out NLRP3 in patient-derived cells can rescue the phenotype. These models enable high-throughput screening for genetic modifiers.

Drug Screening and Resistance

Isogenic pairs (wild-type vs. mutant) are ideal for drug screening. They allow identification of compounds that specifically inhibit mutant NLRP3. Additionally, they can be used to study resistance mechanisms to IL-1 inhibitors by exposing cells to increasing drug concentrations and selecting resistant clones.

Biomarker Discovery

CRISPR screens using gene-edited cells can identify synthetic lethal partners of NLRP3 mutations. For instance, knocking out genes in a mutant background can reveal vulnerabilities that could be targeted therapeutically. This approach may lead to novel biomarkers for patient stratification.

Public Data Resources

DatabaseURLDescription
TCGAhttps://www.cancer.gov/tcgaCancer genomics data (not directly MWS, but useful for comparative studies)
cBioPortalhttps://www.cbioportal.orgCancer genomics visualization (not MWS-specific)
DepMaphttps://depmap.org/portal/CRISPR screens and cell line dependencies
GEOhttps://www.ncbi.nlm.nih.gov/geo/Gene expression omnibus for transcriptomic data
ClinVarhttps://www.ncbi.nlm.nih.gov/clinvar/Clinical variant database for NLRP3 mutations
Infevershttps://infevers.umai-montpellier.fr/Registry of autoinflammatory mutations

Frequently Asked Research Questions

The most common mutations are missense mutations in the NACHT domain, such as A439V and R260W.
You can generate one using CRISPR gene editing or purchase commercially available isogenic cell lines from reputable vendors.
A knockout cell line has a gene disabled, while a knock-in cell line has a specific mutation introduced. Both are useful for different research purposes.
Yes, ClinVar and Infevers provide mutation data, and GEO has expression datasets from patient samples.
Yes, isogenic pairs are ideal for high-throughput screening to identify compounds that specifically target mutant NLRP3.

Key References and Database URLs

WHO https://www.who.int
NCI https://www.cancer.gov
NCBI Gene https://www.ncbi.nlm.nih.gov/gene/114548
ClinVar https://www.ncbi.nlm.nih.gov/clinvar/
UniProt https://www.uniprot.org/uniprot/Q96P20
DepMap https://depmap.org/portal/
COSMIC https://cancer.sanger.ac.uk/cosmic
Infevers https://infevers.umai-montpellier.fr/
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