Loeys-Dietz Syndrome 5 (LDS5) Cell Models for Research

Disease Burden and Research Significance

Epidemiology and Clinical Impact

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.

Value as a Research Model

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

Major Carcinogenic Pathways

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.

High-Frequency Genetic Alterations
GeneFrequency (%)Mutation TypeFunctional Effect
TGFBR1~50% in LDS5Missense, splice-siteLoss-of-function or dominant-negative, leading to reduced TGF-β signaling
TGFBR2~50% in LDS5Missense, splice-siteSimilar 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.

Deregulated Signaling Networks

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 Lines and Organoids
Cell LineOriginKey Mutations
HEK293THuman embryonic kidneyNone (used for overexpression studies)
HeLaCervical cancerNone (used for general signaling studies)
AoSMCHuman aortic smooth muscle cellsCan 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.

Animal Models (PDX, GEMM, Induced)
  • • 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.

Gene-Edited Cell Models

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 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

Functional Genomics

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.

Drug Screening and Resistance

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.

Biomarker Discovery

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

DatabaseURLDescription
TCGAhttps://www.cancer.gov/tcgaCancer genomics data (not directly for LDS5 but useful for TGF-β pathway mutations)
cBioPortalhttps://www.cbioportal.orgVisualization and analysis of cancer genomics data
DepMaphttps://depmap.orgCRISPR screens and gene dependency data
GEOhttps://www.ncbi.nlm.nih.gov/geo/Gene expression datasets, including LDS5-related studies
ClinVarhttps://www.ncbi.nlm.nih.gov/clinvar/Clinical variants for TGFBR1 and TGFBR2
UniProthttps://www.uniprot.orgProtein information for TGFBR1 and TGFBR2

Frequently Asked Research Questions

Mutations in TGFBR1 and TGFBR2 are equally common, with missense mutations in the kinase domain being frequent.
Gene-edited cell lines with specific TGFBR1/2 mutations are commercially available from various suppliers. You can also generate custom models using CRISPR services.
Yes, iPSC-derived vascular organoids can be generated from patient cells and used to study aortic pathology.
Mutations in TGFBR1/2 lead to altered TGF-β signaling, either reduced or paradoxically increased, resulting in abnormal extracellular matrix and aortic wall weakness.
Yes, isogenic pairs are ideal for high-throughput screening to identify compounds that modulate TGF-β signaling.

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
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