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PubMed1992

Clustering of fibrillin (FBN1) missense mutations in Marfan syndrome patients at cysteine residues in EGF-like domains.

The Marfan syndrome is an autosomal dominant heritable disorder of connective tissue with prominent involvement of the ocular, skeletal, and cardiovascular systems. The gene on chromosome 15 encoding fibrillin (FBN1), a 350-kDa glycoprotein component of the extracellular microfibril, is the site of defect in most, if not all cases. Complementary DNA sequence reveals a gene composed largely of epidermal growth factor-like repeats, each containing six predictably spaced cysteine residues. To date, two FBN1 gene missense mutations have been reported. Here we describe the identification of three new missense mutations in the FBN1 gene in patients with the Marfan syndrome. All of the 5 characterized missense mutations occur within the epidermal growth factor-like repeats of the FBN1 gene. In addition, 4 of 5 involve the substitution of cysteine residues and 3 of 5 substitute the third cysteine in the epidermal growth factor-like motif consensus sequence. These data suggest that defined residues within EGF-like domains of FBN1 have particular significance and, when altered, play a pivotal role in expression of the Marfan phenotype.

Amino Acid Sequence↗
PubMed2026

FBN1-related connective tissue disorders: unraveling cardiovascular, skeletal, and ocular complications through TGF-β signaling dysregulation and genotypic correlations.

Fibrillin-1 is an extracellular matrix glycoprotein essential for microfibril integrity, mediating cell-matrix interactions, providing structural support to tissues, and serving as a scaffold for elastogenesis. Pathogenic variants in the fibrillin 1 gene (FBN1) give rise to a spectrum of autosomal dominant connective tissue disorders collectively termed type-1 fibrillinopathies, which include Marfan syndrome, geleophysic dysplasia 2, acromicric dysplasia, Weill-Marchesani syndrome 2, marfanoid-progeroid-lipodystrophy syndrome, stiff skin syndrome, MASS syndrome, and isolated ectopia lentis 1. These disorders predominantly manifest cardiovascular, skeletal, and ocular abnormalities. Among these, aortic and valvular lesions are the principal and most life-threatening complications and therefore warrant the greatest clinical attention. Skeletal anomalies are diverse and can even be diametrically opposed across different phenotypes, while ectopia lentis represents the hallmark of ocular conditions. Notably, mutant fibrillin-1 disrupts microfibril structure and/or function, leading to dysregulated transforming growth factor-β (TGF-β) signaling, which is widely recognized as a central mechanism underlying type-1 fibrillinopathies. Although numerous pathogenic FBN1 variants have been identified, the knowledge of genotype-phenotype correlations remains limited in some specific regions. This review synthesizes the current understanding of the FBN1-related molecular mechanisms linking aberrant TGF-β signaling to distinct phenotypic outcomes and discusses how genetically engineered animal models and human induced pluripotent stem cell models advance mechanistic insights and facilitate therapy development. Additionally, clinical manifestations and genetic characteristics across all phenotypes are elaborated to facilitate diagnosis, treatment, and management of these complex disorders.

Cardiovascular complications↗
PubMed2026

A novel truncating FBN1 variant in a family with Marfan syndrome.

Marfan syndrome is caused by pathogenic variants in FBN1. We identified a novel heterozygous frameshift variant in FBN1 (NM_000138.5: c.6784_6787del, NP_000129.3:p.(Gln2262TrpfsTer28)) in an adult male with severe cardiovascular manifestations. The variant was absent from population databases and fulfilled PVS1 and PM2 criteria. This finding expands the mutational and phenotypic spectrum of FBN1 and highlights the clinical utility of genetic testing in family-based clinical management of Marfan syndrome.

Journal Article↗
PubMed2025

Unraveling a novel FBN1 variant in Marfan syndrome with dilated aortic root manifestation.

BACKGROUND: Marfan syndrome (MFS) is a genetic disorder affecting connective tissue, with variable incidence rates. A significant portion of cases stems from novel genetic variants, while others inherit it from affected parents. OBJECTIVE: This study focuses on identifying the genetic cause of MFS in a specific family, using whole-exome sequencing (WES). METHODS: A 15-year-old male with confirmed MFS was examined, showing symptoms of palpitations and severe mitral valve regurgitation. WES was performed, followed by confirmation with Sanger sequencing. Variants were assessed for pathogenicity using bioinformatics tools and the American College of Medical Genetics and Genomics (ACMG) guidelines. RESULTS: One potentially novel pathogenic variant was found in exon 14 of the FBN1 gene: c.1676delCinsAAT, p.Ala559GlufsTer21. In silico analysis suggested a deleterious impact on protein structure and function, supporting their pathogenic classification. CONCLUSION: The identification of this novel variant highlights the importance of the FBN1 gene in MFS, especially its cardiovascular manifestations. Early intervention can improve patient outcomes, while ongoing research holds promise for further advancements in treatment for Marfan syndrome.

Humans↗
PubMed2025

Utility of genome sequencing and group-enrichment to support splice variant interpretation in Marfan syndrome.

PURPOSE: To quantify the impact of noncanonical FBN1 splice site variants in undiagnosed Marfan syndrome (MFS), a connective tissue disorder associated with skeletal abnormalities and familial thoracic aortic aneurysm disease (FTAAD). METHODS: A systematic analysis of ultrarare FBN1 variants was performed using genome sequencing data from the 100,000 Genomes Project. Variants were annotated with SpliceAI and the significance of enrichment among individuals with FTAAD was assessed using Fisher's exact test. Experimental validation used RNA sequencing, reverse transcriptase polymerase chain reaction, minigene constructs, and replication analysis was with data from UK Biobank. RESULTS: Using aggregate data for 78,195 individuals, we identified 13,864 singleton single-nucleotide variants in FBN1 of which 21 were predicted to affect splicing (SpliceAI > 0.5). Incidence of candidate splice variants in individuals recruited with FTAAD (9/703) was significantly elevated compared with that seen in non-FTAAD participants (12/77,492; odds ratio = 84, P = 9.7 × 10-14). Additional analysis uncovered a further 14 families harboring 11 different FBN1 splice variants. A total of 20 candidate splice variants in 23 families were identified, of which 70% lay beyond the ±8 splice regions. RNA testing confirmed the predicted splice aberration in 16 of 20 and for 9 of 20, pseudoexonization was the likely splicing anomaly. CONCLUSION: Our findings indicate that noncanonical splice variants may account for approximately 3% of families with undiagnosed FTAAD, highlighting the importance of incorporating analysis of introns and confirmatory RNA testing into genetic testing for Marfan syndrome.

Humans↗
PubMed2025

Genotype-first assessment of presentation and penetrance of neurofibromatosis type 1, autosomal dominant polycystic kidney disease, and Marfan syndrome within the All of Us research program cohort.

PURPOSE: Phenotype-based ascertainment of probands in studies of Mendelian disorders may exclude individuals with mild phenotypes or that lack health care access. We explore this premise in All of Us Research Program participants with pathogenic variation causal for 3 Mendelian conditions: autosomal dominant polycystic kidney disease (ADPKD), Marfan syndrome, and neurofibromatosis type 1 (NF1). METHODS: We identified All of Us Research Program participants with putatively pathogenic variation in NF1, FBN1, PKD1, and PKD2. Concept terms were extracted from electronic health records to assess participant diagnosis and phenotype. Variant annotation and participant surveys were evaluated to identify biological and social factors differentiating diagnosed and undiagnosed individuals. RESULTS: Large proportions of individuals with pathogenic variation in NF1, FBN1, or PKD1/PKD2 lack the associated diagnosis of NF1 (47%), Marfan syndrome (58%), or ADPKD (52%), respectively. Pathogenic variants in diagnosed individuals have greater inferred deleteriousness for NF1 and ADPKD, and undiagnosed individuals had less severe phenotypes compared with diagnosed individuals for all 3 conditions. CONCLUSION: A genotype-first ascertainment of individuals in genomic research allows for a more comprehensive assessment of Mendelian disease and removes biases that confound our understanding of the penetrance and presentation of these conditions.

Humans↗
PubMed2026

Losartan shows limited benefit in preclinical models of Geleophysic dysplasia.

Geleophysic dysplasia (GD) is a rare genetic disorder characterized by short stature, joint contractures, and cardiopulmonary complications, with early mortality, and linked to mutations in ADAMTSL2 (GD1), FBN1 (GD2), or LTBP3 (GD3) genes. These mutations are hypothesized to disrupt extracellular matrix (ECM) organization and enhance transforming growth factor beta (TGF-β) signaling. Losartan, an angiotensin II receptor blocker, has been proposed to mitigate TGF-β-mediated pathologies. In this study we tested the efficacy of losartan as a therapeutic drug for GD. We evaluated losartan's therapeutic potential using Adamtsl2 p.A165T mutant mice and patient-derived fibroblasts. Survival, growth, TGF-β signaling, and ECM protein expression were assessed. Losartan did not improve survival or growth in our mutant mice. Compared with control fibroblasts, patient-derived fibroblasts showed reduced basal TGF-β1 secretion. Consistent with this finding, transcriptomic analyses did not reveal activation of the TGF-β signaling pathway, and no differences in SMAD phosphorylation were observed between patient and control cells. Losartan treatment failed to modulate TGF-β signaling or ECM protein incorporation. These results suggest limited benefits of losartan in GD and challenge the notion of TGF-β dysregulation in GD pathogenesis, indicating a need for alternative targeted therapies.

Losartan↗
PubMed2026

Multi-cohort integration and machine learning identify CPVL as a novel oncogenic driver in gastric cancer.

BACKGROUND: Gastric cancer (GC) remains a leading cause of cancer-related mortality worldwide, and the prognosis of advanced GC remains poor. Systematic identification of robust biomarkers through multi-cohort integration and computational prioritization may facilitate the discovery of novel therapeutic targets. AIM: To identify key genes associated with gastric cancer progression through integrative multi-omics analysis and to elucidate the biological functions and molecular mechanisms of the top-prioritized candidate gene. METHODS: Comprehensive bioinformatics analyses integrating The Cancer Genome Atlas (TCGA), Genotype-Tissue Expression (GTEx), and Gene Expression Omnibus (GEO) datasets were performed using differential expression analysis, weighted gene co-expression network analysis (WGCNA), Cox regression, and eight machine-learning algorithms to systematically identify and prioritize GC-associated hub genes. Among the identified candidates, CPVL was selected for further validation based on its diagnostic and prognostic performance. CPVL expression and clinical relevance were validated by independent datasets and immunohistochemistry. Lentiviral constructs were used to overexpress or silence CPVL in GC cell lines. Functional assays were performed, including CCK-8, colony formation, EdU incorporation, and flow cytometry, to assess cell proliferation and cell-cycle distribution. Western blotting and JAK2 inhibitor (AZD1480) rescue experiments were performed to elucidate the underlying mechanisms, and a nude mouse xenograft model was used to evaluate tumorigenicity in vivo. RESULTS: Multi-cohort screening identified five hub genes (CPVL, AADAC, BCAT1, CPXM1, and FBN1). Among them, CPVL exhibited the highest diagnostic accuracy (AUC = 0.895) and the strongest correlation with poor overall survival, and was therefore selected for mechanistic investigation. CPVL expression was markedly upregulated in GC tissues and cell lines. Functional assays demonstrated that CPVL promotes GC cell proliferation and accelerates G1/S-phase transition. Mechanistically, CPVL activated the JAK2/STAT3 signaling pathway, upregulating Cyclin D1 and CDK4 while downregulating p27. Treatment with the JAK2 inhibitor AZD1480 partially reversed these effects. In vivo, CPVL knockdown significantly inhibited tumor growth. CONCLUSION: Through systematic multi-cohort integration and machine-learning prioritization, CPVL was identified as a novel oncogenic driver in gastric cancer. CPVL promotes tumor growth via activation of the JAK2/STAT3 pathway and regulation of the Cyclin D1/CDK4/p27 axis, highlighting its potential as a diagnostic biomarker and therapeutic target.

Biomarker↗
PubMed2026

Genomic and proteogenomic insights into Spontaneous Coronary Artery Dissection (SCAD): A systematic review of emerging multi-omic evidence.

BACKGROUND: Spontaneous coronary artery dissection (SCAD) is a major cause of myocardial infarction in young women without traditional cardiovascular risk factors (Hayes et al., 2018; Adlam et al., 2018 [1, 2]). Despite growing awareness, its biological underpinnings remain incompletely understood, and clinical management is largely based on observational evidence rather than mechanistic insight (Saw et al., 2014; Lettieri et al., 2015; Steg et al., 2024 [3-5]). OBJECTIVES: To systematically integrate genomic, epitranscriptomic, proteomic, and metabolomic data in order to characterize the multi-omic architecture of SCAD and identify potential biomarkers and therapeutic targets. METHODS: A systematic review was conducted in accordance with the PRISMA 2020 statement (Arbelo et al., 2023 [6]). PubMed/MEDLINE was searched for original studies investigating genomic and multi-omic features of SCAD. Data were extracted on study design, patient characteristics, identified variants, circulating biomarkers, and implicated biological pathways. Functional enrichment analysis was performed using the DAVID bioinformatics resource (Page et al., 2021 [7]). RESULTS: A total of 16 studies were included. Genome-wide association studies consistently identified susceptibility loci related to arterial structure and extracellular matrix integrity, including ADAMTSL4, PHACTR1/EDN1, LRP1, and FBN1 (Huang et al., 2009; Saw et al., 2020; Turley et al., 2020 [8-10]). Rare variant analyses further supported the role of genes involved in extracellular matrix remodeling and vascular smooth muscle cell function, including COL3A1, COL4A1/2, SMAD3, and TLN1 (Adlam et al., 2023; Turley et al., 2021, 2019; Carss et al., 2020; Zekavat et al., 2022; Wang et al., 2022 [11-16]), while ancestry-specific signals such as TSR1 variants were observed in distinct populations (Turley et al., 2023 [17]). Proteogenomic approaches linked genetic susceptibility loci to circulating proteins involved in matrix remodeling and inflammation, including cathepsin B and ECM1 (Maioli et al., 2010 [18]). Epitranscriptomic analyses identified differential microRNA expression profiles associated with vascular injury and repair pathways (Sun et al., 2019 [19]). CONCLUSIONS: SCAD is characterized by a complex, multi-layered biological architecture involving genetic susceptibility, extracellular matrix dysregulation, and vascular signaling pathways. Integration of multi-omic data provides novel insights into disease mechanisms and highlights potential biomarkers and targets for precision medicine approaches in SCAD.

Animals↗