Loeys-Dietz Syndrome 5 (LDS5) Cell Models for Research
Disease Burden and Research Significance
Loeys-Dietz Syndrome (LDS) is a rare autosomal dominant connective tissue disorder with an estimated prevalence of 1 in 100,000. LDS5 is a subtype caused by mutations in TGFBR1 or TGFBR2 genes. Clinical manifestations include aortic aneurysms, arterial tortuosity, hypertelorism, and bifid uvula. Without intervention, aortic dissection can occur at a young age. According to the National Organization for Rare Disorders (NORD), early diagnosis and surgical management have improved outcomes, but the condition remains a significant cause of morbidity and mortality in affected families. The 5-year survival rate is not well-defined due to rarity, but with appropriate surveillance, many patients survive into adulthood.
LDS5 is an ideal model for studying TGF-β signaling dysregulation, aortic aneurysm pathogenesis, and connective tissue disorders. The availability of patient-derived mutations and the clear genotype-phenotype correlations make it suitable for mechanistic studies. Public datasets such as ClinVar and gnomAD provide mutation frequencies, while the International Loeys-Dietz Syndrome Registry offers clinical data. Open questions include the precise molecular mechanisms linking TGFBR1/2 mutations to aortic disease and the potential for targeted therapies.
Core Molecular Pathogenesis
Although LDS5 is not a cancer, the TGF-β signaling pathway is central to its pathogenesis. The pathway involves:
1. TGF-β ligand binding to TGFBR2, which recruits TGFBR1.
2. Phosphorylation of SMAD2/3 by TGFBR1.
3. Complex formation with SMAD4 and translocation to the nucleus.
4. Regulation of target genes involved in extracellular matrix remodeling, cell proliferation, and apoptosis.
In LDS5, mutations in TGFBR1 or TGFBR2 lead to either loss-of-function or paradoxical gain-of-function, resulting in altered SMAD signaling and abnormal connective tissue homeostasis.
| Gene | Frequency (%) | Mutation Type | Functional Effect |
|---|---|---|---|
| TGFBR1 | ~50% in LDS5 | Missense, splice-site | Loss-of-function or dominant-negative, leading to reduced TGF-β signaling |
| TGFBR2 | ~50% in LDS5 | Missense, splice-site | Similar to TGFBR1 mutations |
Data from ClinVar and the Loeys-Dietz Syndrome Foundation indicate that mutations are distributed throughout the genes, with some clustering in the kinase domain.
The TGF-β pathway is the primary deregulated network. Key nodes include:
- • TGFBR1 and TGFBR2: receptors with kinase activity.
- • SMAD2/3: receptor-regulated SMADs.
- • SMAD4: common SMAD.
- • Negative regulators: SMAD7, SKI, and SKIL.
Additionally, cross-talk with other pathways such as MAPK/ERK and PI3K/AKT has been implicated. In LDS5, altered TGF-β signaling can lead to overactivation of ERK1/2 and JNK, contributing to aortic wall degeneration.
Experimental Model Systems
| Cell Line | Origin | Key Mutations |
|---|---|---|
| HEK293T | Human embryonic kidney | None (used for overexpression studies) |
| HeLa | Cervical cancer | None (used for general signaling studies) |
| AoSMC | Human aortic smooth muscle cells | Can be derived from patients with LDS5 mutations |
Organoids derived from patient-derived induced pluripotent stem cells (iPSCs) can recapitulate vascular tissue architecture and are valuable for studying aortic aneurysm development.
- • Genetically engineered mouse models (GEMMs) with Tgfbr1 or Tgfbr2 mutations (e.g., Tgfbr1M318R) recapitulate aortic phenotypes.
- • Patient-derived xenografts (PDX) are less common due to the non-cancerous nature of the disease.
- • Induced models using CRISPR to introduce specific mutations in mice are being developed.
These models are essential for studying disease progression and testing therapeutic interventions.
CRISPR-based gene editing enables the creation of isogenic cell lines with specific LDS5 mutations. For example:
- • TGFBR1 knockout cell lines (e.g., in HEK293T or AoSMC) to study loss-of-function effects.
- • TGFBR2 knock-in cell lines with a specific pathogenic variant (e.g., c.1459C>T, p.Arg487Trp) to model patient-specific mutations.
These sequence-verified models are commercially available and accelerate research by providing consistent, reproducible systems. They are essential for drug screening and functional studies.
Related Disease
| Disease name | Disease type |
|---|
Related Services
Related Products
| Product name | Cat.No. | Species | Gene ID | |
|---|---|---|---|---|
| TGFB3 Knockout HEK293 Cell Line | EDJ-KQ761 | Human | 7043 | Details Get a Quote |
| LDHC Knockout HEK293 Cell Line | EDJ-KQ919 | Human | 3948 | Details Get a Quote |
| FBN2 Knockout HEK293 Cell Line | EDJ-KQ2572 | Human | 2201 | Details Get a Quote |
| PLCL1 Knockout HEK293 Cell Line | EDJ-KQ5478 | Human | 5334 | Details Get a Quote |
| PLXNA2 Knockout HEK293 Cell Line | EDJ-KQ5486 | Human | 5362 | Details Get a Quote |
| TBX22 Knockout HEK293 Cell Line | EDJ-KQ10854 | Human | 50945 | Details Get a Quote |
| TGFB3 Knockout A-549 Cell Line | EDJ-KQ19437 | Human | 7043 | Details Get a Quote |
| TGFB3 Knockout HCT 116 Cell Line | EDJ-KQ19438 | Human | 7043 | Details Get a Quote |
| TGFB3 Knockout HeLa Cell Line | EDJ-KQ19439 | Human | 7043 | Details Get a Quote |
| FBN2 Knockout A-549 Cell Line | EDJ-KQ23253 | Human | 2201 | Details Get a Quote |
| FBN2 Knockout HeLa Cell Line | EDJ-KQ23254 | Human | 2201 | Details Get a Quote |
| PLCL1 Knockout HeLa Cell Line | EDJ-KQ28694 | Human | 5334 | Details Get a Quote |
| PLXNA2 Knockout HeLa Cell Line | EDJ-KQ28711 | Human | 5362 | Details Get a Quote |
| Tgfb3 Knockout B16-F10 Cell Line | EDJ-KZ506 | Mouse | 7043 | Details Get a Quote |
| LDHC Knockout HeLa Cell Line | EDJ-KQ53785 | Human | 3948 | Details Get a Quote |
Applications of Gene-Edited Cells
Knockout and knock-in lines allow validation of gene function in TGF-β signaling. For example, TGFBR1 knockout cells show reduced SMAD2/3 phosphorylation, confirming the receptor's role. Knock-in lines with patient mutations can be used to assess the impact on downstream signaling and cellular phenotypes.
Isogenic pairs (wild-type vs. mutant) are used to screen for compounds that modulate TGF-β signaling. For instance, inhibitors of TGFBR1 kinase activity can be tested for their ability to normalize signaling in mutant cells. These models also help study resistance mechanisms to therapies targeting the TGF-β pathway.
CRISPR-based synthetic lethality screens can identify genes that are essential in LDS5 mutant cells but not in wild-type cells. This can reveal novel therapeutic targets and biomarkers for early diagnosis or disease progression.
Public Data Resources
| Database | URL | Description |
|---|---|---|
| TCGA | https://www.cancer.gov/tcga | Cancer genomics data (not directly for LDS5 but useful for TGF-β pathway mutations) |
| cBioPortal | https://www.cbioportal.org | Visualization and analysis of cancer genomics data |
| DepMap | https://depmap.org | CRISPR screens and gene dependency data |
| GEO | https://www.ncbi.nlm.nih.gov/geo/ | Gene expression datasets, including LDS5-related studies |
| ClinVar | https://www.ncbi.nlm.nih.gov/clinvar/ | Clinical variants for TGFBR1 and TGFBR2 |
| UniProt | https://www.uniprot.org | Protein information for TGFBR1 and TGFBR2 |
Frequently Asked Research Questions
What is the most common mutation in LDS5?
How can I obtain LDS5 cell models?
Are there organoid models for LDS5?
What is the role of TGF-β signaling in LDS5?
Can gene-edited cells be used for drug screening?
Key References and Database URLs
| WHO | https://www.who.int |
|---|---|
| NCI | https://www.cancer.gov |
| NCBI Gene | https://www.ncbi.nlm.nih.gov/gene/7046 |
| NCBI Gene | https://www.ncbi.nlm.nih.gov/gene/7048 |
| ClinVar | https://www.ncbi.nlm.nih.gov/clinvar/ |
| DepMap | https://depmap.org |
| COSMIC | https://cancer.sanger.ac.uk/cosmic |
| UniProt | https://www.uniprot.org/uniprot/P36897 |
| UniProt | https://www.uniprot.org/uniprot/P37173 |