An integrative systems approach identifies novel candidates in Marfan syndrome-related pathophysiology.
Raghu BhushanLukas AltinbasMarten JägerMarcin ZaradzkiDaniel LehmannBernd TimmermannNicholas P ClaytonYunxiang ZhuKlaus KallenbachGeorgios KararigasPeter Nick RobinsonPublished in: Journal of cellular and molecular medicine (2019)
Marfan syndrome (MFS) is an autosomal dominant genetic disorder caused by mutations in the FBN1 gene. Although many peripheral tissues are affected, aortic complications, such as dilation, dissection and rupture, are the leading causes of MFS-related mortality. Aberrant TGF-beta signalling plays a major role in the pathophysiology of MFS. However, the contributing mechanisms are still poorly understood. Here, we aimed at identifying novel aorta-specific pathways involved in the pathophysiology of MFS. For this purpose, we employed the Fbn1 under-expressing mgR/mgR mouse model of MFS. We performed RNA-sequencing of aortic tissues of 9-week-old mgR/mgR mice compared with wild-type (WT) mice. With a false discovery rate <5%, our analysis revealed 248 genes to be differentially regulated including 20 genes previously unrelated with MFS-related pathology. Among these, we identified Igfbp2, Ccl8, Spp1, Mylk2, Mfap4, Dsp and H19. We confirmed the expression of regulated genes by quantitative real-time PCR. Pathway classification revealed transcript signatures involved in chemokine signalling, cardiac muscle contraction, dilated and hypertrophic cardiomyopathy. Furthermore, our immunoblot analysis of aortic tissues revealed altered regulation of pSmad2 signalling, Perk1/2, Igfbp2, Mfap4, Ccl8 and Mylk2 protein levels in mgR/mgR vs WT mice. Together, our integrative systems approach identified several novel factors associated with MFS-aortic-specific pathophysiology that might offer potential novel therapeutic targets for MFS.
Keyphrases
- genome wide
- wild type
- left ventricular
- aortic valve
- aortic dissection
- hypertrophic cardiomyopathy
- pulmonary artery
- single cell
- mouse model
- gene expression
- dna methylation
- genome wide identification
- high fat diet induced
- transcription factor
- real time pcr
- liver injury
- poor prognosis
- bioinformatics analysis
- risk factors
- randomized controlled trial
- clinical trial
- coronary artery
- genome wide analysis
- drug induced
- heart failure
- small molecule
- machine learning
- insulin resistance
- metabolic syndrome
- high resolution
- cardiovascular events
- skeletal muscle
- binding protein
- cardiovascular disease
- case report
- study protocol
- coronary artery disease
- rna seq
- long non coding rna
- climate change
- pulmonary arterial hypertension
- endoplasmic reticulum
- double blind
- human health
- data analysis
- placebo controlled