Literature DB >> 31774634

Genetic and molecular mechanism for distinct clinical phenotypes conveyed by allelic truncating mutations implicated in FBN1.

Mao Lin1,2, Zhenlei Liu3,4, Gang Liu1,3, Sen Zhao1,3, Chao Li5, Weisheng Chen1,2, Zeynep Coban Akdemir6, Jiachen Lin1,2, Xiaofei Song6, Shengru Wang1,3, Qiming Xu3, Yanxue Zhao1, Lianlei Wang1,2, Yuanqiang Zhang1,2, Zihui Yan1,2, Sen Liu1,3, Jiaqi Liu3,7, Yixin Chen8, Yuzhi Zuo1,3, Xu Yang1,3, Tianshu Sun9, Xin-Zhuang Yang9, Yuchen Niu9, Xiaoxin Li9, Wesley You10, Bintao Qiu9, Chen Ding5, Pengfei Liu6,11, Shuyang Zhang3,12, Claudia M B Carvalho6, Jennifer E Posey6, Guixing Qiu1,3,13, James R Lupski6,14,15,16, Zhihong Wu3,9,13, Jianguo Zhang1,3,13, Nan Wu1,3,6,13,6.   

Abstract

BACKGROUND: The molecular and genetic mechanisms by which different single nucleotide variant alleles in specific genes, or at the same genetic locus, cause distinct disease phenotypes often remain unclear. Allelic truncating mutations of FBN1 could cause either classical Marfan syndrome (MFS) or a more complicated phenotype associated with Marfanoid-progeroid-lipodystrophy syndrome (MPLS).
METHODS: We investigated a small cohort, encompassing two classical MFS and one MPLS subjects from China, whose clinical presentation included scoliosis potentially requiring surgical intervention. Targeted next generation sequencing was performed on all the participants. We analyzed the molecular diagnosis, clinical features, and the potential molecular mechanism involved in the MPLS subject in our cohort.
RESULTS: We report a novel de novo FBN1 mutation for the first Chinese subject with MPLS, a more complicated fibrillinopathy, and two subjects with more classical MFS. We further predict that the MPLS truncating mutation, and others previously reported, is prone to escape the nonsense-mediated decay (NMD), while MFS mutations are predicted to be subjected to NMD. Also, the MPLS mutation occurs within the glucogenic hormone asprosin domain of FBN1. In vitro experiments showed that the single MPLS mutation p.Glu2759Cysfs*9 appears to perturb proper FBN1 protein aggregation as compared with the classical MFS mutation p.Tyr2596Thrfs*86. Both mutations appear to upregulate SMAD2 phosphorylation in vitro.
CONCLUSION: We provide direct evidence that a dominant-negative interaction of FBN1 potentially explains the complex MPLS phenotypes through genetic and functional analysis. Our study expands the mutation spectrum of FBN1 and highlights the potential molecular mechanism for MPLS.
© 2019 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals, Inc.

Entities:  

Keywords:  zzm321990FBN1zzm321990; Marfan syndrome; Marfanoid-progeroid-lipodystrophy syndrome; dominant-negative mechanism; targeted next generation sequencing

Mesh:

Substances:

Year:  2019        PMID: 31774634      PMCID: PMC6978264          DOI: 10.1002/mgg3.1023

Source DB:  PubMed          Journal:  Mol Genet Genomic Med        ISSN: 2324-9269            Impact factor:   2.183


INTRODUCTION

Marfan syndrome (MFS; MIM #154700) refers to a heritable autosomal dominant disease trait of fibrous connective tissue due to heterozygous mutations in the fibrillin‐1 gene (FBN1; MIM #134797) on chromosome 15q21. The cardinal phenotypic features allowing for clinical diagnosis primarily occur in the skeletal, ocular, and cardiovascular systems (Dietz, 2015). MFS is manifested by clinical features/findings involving the skeletal (tall stature, disproportionately long limbs and digits [arachnodactyly], anterior chest wall deformity, mild to moderate joint laxity, and frequent spinal deformity [especially a scoliosis], cardiovascular (increased risk for aortic root dilation and/or dissection), and ocular (ectopia lentis) systems (Loeys et al., 2010). Marfanoid–progeroid–lipodystrophy syndrome (MPLS; MIM #616914) is a recently defined fibrillinopathy, and also a complex disease characterized by accelerated aging and postnatal lipodystrophy, poor postnatal weight gain, and characteristic dysmorphic facial features that have very rarely been clinically recognized and reported (Goldblatt, Hyatt, Edwards, & Walpole, 2011; Passarge, Robinson, & Graul‐Neumann, 2016). Recent studies have implicated a potential hormone, named asprosin, encoded by the FBN1 locus as a mediator of the lipodystrophy phenotype (Duerrschmid et al., 2017; Romere et al., 2016). All previously reported MPLS individuals consistently harbor heterozygous truncating mutations in exon 64, which leads to the formation of premature stop codons in the C‐terminal domain of FBN1 (Garg & Xing, 2014; Goldblatt et al., 2011; Jacquinet et al., 2014; Passarge et al., 2016; Romere et al., 2016; Song, Kim, Yoo, & Kim, 2012). In this study, we present clinical and genetic, genomic and molecular data from three unrelated subjects with Marfan/Marfanoid syndrome, including the first case of clinically recognized MPLS in the Chinese population. The potential effects of truncating mutations of FBN1 which are implicated in MPLS subjects conveying distinct dominant‐negative alleles and clinically distinguishable autosomal dominant (AD) disease traits were ascertained with functional assays.

MATERIALS AND METHODS

Ethical compliance

The study was approved by the Ethics Committee of Peking Union Medical College Hospital (PUMCH, Approval No. JS‐908). Written informed consent was provided by patients admitted into PUMCH or their corresponding guardians for the Deciphering Disorders Involving Scoliosis & Comorbidities (DISCO; http://www.discostudy.org/) study.

Participant ascertainment and Sample preparation

Three Marfan syndrome/Marfanoid subjects (including two proband‐only singletons and 1 parent–offspring trio family) with targeted next generation sequencing (NGS) data were extracted from the DISCO study. In brief, peripheral blood samples were collected from the affected probands and corresponding unaffected parents if available. Genomic DNA was extracted with the QIAamp DNA Blood Mini Kit (QIAGEN, Germany) according to the manufacturer's instructions.

Targeted next generation sequencing and Sanger sequencing

To establish an NGS panel maximally covering known genes implicated in the cause of Mendelian diseases with vertebral malformation phenotypes, we performed a systematic literature and database search for congenital scoliosis (CS) related disease. After manual review, a total of 344 genes were found, corresponding to 457 CS‐related monogenic phenotypes. Also included was an additional set of 220 genes whose protein products are involved in the pathways related to vertebral development or in which pathogenic variant alleles have been reported in association with CS phenotypes in animal models, but not yet linked to human diseases with CS phenotypes. The target panel set comprises 564 genes, 6,458 exons, and flanking 30 bp regions, and 2.97 Mb in total genomic size. DNA probes for target capture were designed and purchased from NimbleGen online (https://design.nimblegen.com/nimbledesign/app). The final set of DNA probes was expected to cover 99.7% of the targeted regions. In addition to the previously published TBX6 featuring a compound heterozygous inheritance model (Liu et al., 2019; Wu et al., 2015; Yang et al., 2019), FBN1 was also targeted in the panel. A targeted sequence enrichment library was prepared following a previously described protocol (Asan et al., 2011). For each sample, 1 μg of genomic DNA was used as starting material. Genomic DNA was fragmented to a size of ~200–250 bp. The fragmented DNA was end‐repaired, capped with A‐tailing and subject to ligation of indexed adaptors. After five cycles of polymerase chain reaction (PCR) amplification, each indexed product was pooled and hybridized with DNA probes for targeted capture in one solution capture reaction. The product of targeted enrichment DNA was further subject to 14 cycles of PCR amplification, followed by final library yield validation by Bioanalyzer analysis (Agilent) and quantitative polymerase chain reaction (qPCR) quantification. Sequencing was performed with the PE100 mode on an Illumina Hiseq 2500 sequencer. After generating raw sequence data, a Perl script was used to remove low‐quality and adaptor‐contaminated reads. The remaining reads were mapped onto human reference genome assembly hg19 (GRCh37, http://genome.ucsc.edu/) with the BWA mapper. Additionally, single nucleotide variants (SNVs) and small insertions and deletions (indels) were called with the GATK (v2.2–3) bioinformatics package. Variants were annotated using an in‐house developed annotation pipeline. We filtered out common variants with high allele frequencies (minor allele frequency > 1%) in the public databases (the 1,000 Genomes Project [https://www.internationalgenome.org], the Exome Sequencing Project [http://evs.gs.washington.edu/EVS/], ExAC [http://exac.broadinstitute.org], gnomAD [https://gnomad.broadinstitute.org]) or an in‐house control dataset encompassing exome sequencing data of 2,103 subjects. We subsequently excluded silent variants which were not functionally relevant (deep intronic (>30 bp), untranslated regions (UTR), or synonymous SNVs, or noncoding indels). We also annotated the detected variants using a customized database based on the Human Gene Mutation Database (HGMD; http://www.hgmd.cf.ac.uk/) and Online Mendelian Inheritance in Man (OMIM; https://omim.org/). Genomic DNA from all individuals was subjected to Sanger sequencing for orthogonal confirmation of all identified variants. The RefSeq accession numbers of the transcript and corresponding protein isoform of FBN1 we used for mutation nomenclature were NM_000138.4 and NP_000129.3, respectively.

Prediction of nonsense‐mediated decay (NMD) events

For allelic truncating frameshift variants identified in our cohort and previously reported, in silico predictions of escaping NMD events were conducted using the online tool, NMDEscPredictor (https://nmdpredictions.shinyapps.io/shiny/) (Coban‐Akdemir et al., 2018).

Plasmid construction and mutagenesis

A cDNA fragment containing full‐length FBN1 (GenBank ID: NM_000138.4) derived from human muscle cDNA and suitable restriction sites was PCR‐amplified using KOD‐Plus‐Neo (Toyobo). The PCR amplicons were cloned into the NheI and SacII sites of the pEGFP‐N1 expression vector (Clontech, Takara Bio). Mutant EGFP‐FBN1 plasmids were generated by site‐directed mutagenesis and their construction is confirmed by direct Sanger dideoxy sequencing. Gly2003Arg (G2003R) which was previously reported in an adolescent idiopathic scoliosis (AIS) case was used as a positive control (Buchan et al., 2014). Mutations of p.Tyr2596Thrfs*86 (Y2596Tfs*86), p.Glu2759Cysfs*9 (E2759Cfs*9) and Gly2003Arg were introduced into a wild‐type (WT) pEGFP‐FBN1 QuikChange Lightning Site‐directed Mutagenesis Kit (Agilent Technologies) according to the manufacturer's instructions. The resulting three mutant plasmids pEGFP‐FBN1‐Tyr2596Thrfs*86, pEGFP‐FBN1‐Glu2759Cysfs*9, and pEGFP‐FBN1‐Gly2003Arg were used for functional studies.

Cell culture and transfection

HEK293T cells were cultured in DMEM (Gibco) supplemented with 10% FCS (Biological Industries) and 1% penicillin/streptomycin (Gibco‐Life Technologies) at 37°C with 5% CO2. Cells were transfected/co‐transfected with a mutant and/or a WT pEGFP‐FBN1 using Lipofectamine 3000 (Invitrogen) according to the manufacturers’ instructions. Six hours after transfection, the medium was replaced with fresh complete DMEM, and the cells were further incubated for 48 hr. Total proteins were extracted and analyzed by western blot and SDD‐AGE, respectively.

Western blot

Cells were lysed with modified RIPA (50 mM Tris‐HCL, 1% NP40, 0.25% Na‐deoxycholate, 150 mM NaCl, and 1 mM EDTA; CompleteTM Protease Inhibitor Cocktail [Roche]), and protein concentrations were determined with the BCA‐Kit (Pierce). A total amount of 5 mg protein was size separated on an 8% SDS polyacrylamide gel, and proteins were electrophoresed and transferred to nitrocellulose membranes. Membranes were blocked in powdered milk for 30 min at room temperature (RT, 25°C), and primary antibodies (Phospho‐Smad2 (Ser245/250/255) Antibody, Cell Signaling Technology; anti‐GAPDH, Millipore) were incubated overnight at 4°C. After washing, the corresponding horseradish peroxidase–coupled goat anti‐rabbit secondary antibodies (KPL) were incubated for 1 hr at RT. Bands were visualized with the WesternBright ECL chemiluminescence system (Advansta). This experiment was performed three times with different cell lysates. Chemiluminescent signals were quantified using ImageJ (Schneider, Rasband, & Eliceiri, 2012).

Semi‐denaturing Detergent Agarose Gel Electrophoresis (SDD‐AGE)

For SDD‐AGE (Berchowitz et al., 2015), HEK293T cells were co‐transfected with wild type (pEGFP‐FBN1) and each mutant (pEGFP‐FBN1‐Tyr2596Thrfs*86; pEGFP‐FBN1‐Glu2759Cysfs*9) plasmid for 6 hr, and then incubated for 48 hr. After 48 hr incubation at 37°C with 5% CO2 in the thermotank, cells were harvested by centrifugation at 3,000 rcf for 2 min, resuspension in 200 μL water, and subsequent centrifugation. Approximately 100 μl of acid‐washed cells were then added to each well followed by 120 μL lysis buffer (100 mM Tris pH 8, 1% Triton X‐100, 50 mM β‐mercaptoethanol, 3% HALT protease inhibitor cocktail, 30 mM N‐ethylmaleimide, and 12.5 U/mL Benzonase nuclease). Blocks were then sealed with a rubber mat (Nunc 276,002) and shaken at max speed two times for 3 min on a Qiagen Tissuelyzer 2. To each well was then added 35 μL 4X sample buffer (2X TAE, 20% glycerol, 8% SDS, 0.01% bromophenol blue). The blocks were then vortexed briefly and allowed to incubate at RT for 3 min, followed by centrifugation for 2 min at 3,000 rcf to remove cell debris. Electrophoresis and capillary blotting to Hybond ECL nitrocellulose were performed as described. Proteins were transferred to a polyvinylidene difluoride membrane and probed with well‐characterized monoclonal antibody of anti‐Fibrillin 1 (Abcam ab124334).

Statistical analysis

SPSS software, version 17.0 (IBM Corporation), was used to conduct the two‐tailed Student's t‐test to compare the values of test and control samples. P‐values of less than 0.05 were considered statistically significant.

RESULTS

Subject XH253

The proband was a 10‐year‐old Chinese girl (Figure 1a‐d) who presented with kyphoscoliosis confirmed by radiologic imaging. She was referred to our orthopedic spine specialist for further evaluation and management. Whole spine X‐ray examination revealed scoliosis with three curves. Cobb angle of the major curvature was 43°, and she displayed a flat back and thoracolumbar kyphosis. Transthoracic echocardiographic evaluation revealed moderate mitral valve insufficiency and an aortic root measurement of 3.6 cm (Z‐score = 4.5 when standardized to age and body surface area). Skeletal system abnormalities such as long and thin limbs, and arachnodactyly were observed in the proband. Diminution of vision (myopia) occurred when she was 5 years old. The proband fulfilled the clinical criteria for classical MFS according to Ghent classification (Table 1), with a total of 7 points for the score in the revised Ghent criteria (Loeys et al., 2010). A novel heterozygous frameshift deletion, c.7785delC (c.7785del, p.Tyr2596Thrfs*86), was identified in FBN1 in the proband via targeted NGS, and subsequently confirmed by further validation using an orthogonal experimental approach of Sanger sequencing (Figure 1e).
Figure 1

Clinical and genetic manifestations of the research subjects. (a, b) Pictures of Subject XH253 indicated bilateral arachnodactyly of hands and feet. (c, d) The anterior and lateral view of XH253 demonstrated scoliosis on whole spine X‐ray images. (e) Sanger sequencing of XH253 verified a novel heterozygous frameshift variant c.7785delC (p.Tyr2596Thrfs*86) affecting FBN1. (f, g) The anterior and lateral view of Subject XH474 demonstrated scoliosis on whole spine X‐ray images. (h) Sanger sequencing verified monoallelic missense mutations c.4890_4891delGTinsTG (p.Gln1630_Cys1631delinsHisGly) affecting FBN1. (i) Integrative Genomics Viewer (IGV) displays varying level of alignment reads detail depending on the zoom level and uses red box and transparency to highlight monoallelic missense variants in the exome data from XH474. (j) Conservation analysis of amino acid residues of FBN1 among vertebrates. Lines indicate homologous amino acid sequences in selected vertebrates. Note the strong conservation of Cys1631 among vertebrates highlighted in red and Gln1630 highlighted in green, respectively. (k, l, m, n) Photographic images of Subject XH601 who presented with scoliosis, short stature and subcutaneous fat reduction and arachnodactyly anomalies of hands and feet. (o, p) The anterior and lateral view demonstrated severe scoliosis on whole spine X‐ray images. (q, r) Hand and foot radiographs showed bilateral metacarpophalangeal dislocation, interosseous atrophy, claw hands, and dolichostenomelia. (s) Sanger sequencing of XH601 parent–offspring trio verified a novel de novo heterozygous frameshift mutation c.8275_8291delGAGAAGACAGCCATCTT (p.Glu2759Cysfs*9) affecting FBN1.

Table 1

Clinical features of Marfan syndrome patients reevaluated according to the revised Ghent nosology

Subject XH253XH474XH601
 General patient information   
GenderFFF
Age (years)10169
Height (m)1.721.711.36
Weight (kg)484820.5
Major Cobb angle (degrees)4385117
Major Curve typeR‐TR‐TR‐T
Curve number332
Curve detailsUTC (38), MTC (43), LC (16)UTC (60), MTC (85), LC (40)MTC (117), LC (89)
TreatmentSurgerySurgerySurgery
Causal FBN1 variant    
Nucleotide alterationc.7785delCc.4890_4891delGTinsTGc.8275A8291delGAGAAGACAGCCATCTT
Protein changep.Tyr2596Thrfs*86p.Gln1630_Cys1631delinsHisGlyp. Glu2759Cysfs*9
Variant reported in MFSNonep. Cys1631GlyNone
MFS evaluation    
DiagnosisMFSMASSMarfanoid
Aortic root dilation (z‐score)4.51.31.6
Ectopia lentis AAA
Systemic features score7/208/207/20
Wrist/thumb signPPA
Pectus carinatum/ excavatumAAA
Hindfoot deformityAAA
PneumothoraxAAA
Dural ectasiaAAA
Protrusio acetabuliAAA
Upper/lower segment0.920.940.86
Scoliosis or thoracolumbar kyphosisPPP
Reduced elbow extensionNANANA
Facial features (3/5)PPP
Skin striaeAAA
Myopia−0.7 dioptriesNA−0.4 dioptries
Mitral valve prolapses (all types)PPP

Abbreviations: A, absent; F, female; LC, lumbar curve; MASS, myopia, mitral valve prolapses, borderline (Z < 2) aortic root dilatation, striae, skeletal findings phenotype; MFS, Marfan syndrome; MTC, major thoracic curve; NA, not available; P, present; R‐T, right thoracic spine; UTC, upper thoracic curve.

Clinical and genetic manifestations of the research subjects. (a, b) Pictures of Subject XH253 indicated bilateral arachnodactyly of hands and feet. (c, d) The anterior and lateral view of XH253 demonstrated scoliosis on whole spine X‐ray images. (e) Sanger sequencing of XH253 verified a novel heterozygous frameshift variant c.7785delC (p.Tyr2596Thrfs*86) affecting FBN1. (f, g) The anterior and lateral view of Subject XH474 demonstrated scoliosis on whole spine X‐ray images. (h) Sanger sequencing verified monoallelic missense mutations c.4890_4891delGTinsTG (p.Gln1630_Cys1631delinsHisGly) affecting FBN1. (i) Integrative Genomics Viewer (IGV) displays varying level of alignment reads detail depending on the zoom level and uses red box and transparency to highlight monoallelic missense variants in the exome data from XH474. (j) Conservation analysis of amino acid residues of FBN1 among vertebrates. Lines indicate homologous amino acid sequences in selected vertebrates. Note the strong conservation of Cys1631 among vertebrates highlighted in red and Gln1630 highlighted in green, respectively. (k, l, m, n) Photographic images of Subject XH601 who presented with scoliosis, short stature and subcutaneous fat reduction and arachnodactyly anomalies of hands and feet. (o, p) The anterior and lateral view demonstrated severe scoliosis on whole spine X‐ray images. (q, r) Hand and foot radiographs showed bilateral metacarpophalangeal dislocation, interosseous atrophy, claw hands, and dolichostenomelia. (s) Sanger sequencing of XH601 parent–offspring trio verified a novel de novo heterozygous frameshift mutation c.8275_8291delGAGAAGACAGCCATCTT (p.Glu2759Cysfs*9) affecting FBN1. Clinical features of Marfan syndrome patients reevaluated according to the revised Ghent nosology Abbreviations: A, absent; F, female; LC, lumbar curve; MASS, myopia, mitral valve prolapses, borderline (Z < 2) aortic root dilatation, striae, skeletal findings phenotype; MFS, Marfan syndrome; MTC, major thoracic curve; NA, not available; P, present; R‐T, right thoracic spine; UTC, upper thoracic curve.

Subject XH474

The proband was a 16‐year‐old Chinese girl (Figure 1f,g) who presented with pectus excavatum and scoliosis confirmed by radiologic imaging. Transthoracic echocardiographic evaluation revealed anterior mitral leaflet prolapse and moderate mitral valve insufficiency and an aortic root diameter measurement at the level of the sinuses of Valsalva of 2.6 cm (Z‐score = 1.3 when standardized to age and body surface area). Skeletal system abnormalities were present, such as tall stature with a height of 171 cm (P97; +3SD), slender body habitus with a weight of 48 kg (P25, −1SD), and very thin and long upper and lower limbs. Both of her hands indicated an appearance of arachnodactyly; wrist sign and thumb sign were positive. An FBN1 mutation is identified in this sporadic case but aortic root measurements are still below Z‐score = 3 (Z = 1.3), thus according to the revised 2010 Ghent nosology, the term “potential MFS” should be used until the aorta reaches threshold size. Herein, the subject here should be categorized as “potential MFS” (Table 1), with a total of 8 points for the systemic score according to the revised Ghent criteria (Loeys et al., 2010). Heterozygous variants, c.4890_4891delGTinsTG (p.Gln1630_Cys1631delinsHisGly) in FBN1, were identified in the proband via targeted NGS and validated by Sanger sequencing (Figure 1h). The variants were confirmed to be in cis and comprising a complex allele resulting from a dinucleotide variant by visualizing read alignment views from the Integrative Genomics Viewer (IGV) (Figure 1i). Notably, the missense variant of c.4891T > G (p.Cys1631Gly) has been previously reported as a disease‐causing mutation in a classical MFS individual, whose clinical course and phenotype were characterized by aortic root dissection, aortic root dilation, mitral valve regurgitation, tricuspid valve prolapse, ectopia lentis (Arbustini et al., 2005). Conservation analysis of amino acid residues of Gln1630 and Cys1631 in FBN1 demonstrates that they are highly conserved throughout evolution and across many selected species, suggesting they are required for the normal function of the protein. Thus, the monoallelic missense variants were most likely damaging and putatively deleterious and possibly accounted for “potential MFS” in this proband (Figure 1j).

Subject XH601

The proband was a 9‐year‐old Chinese girl (Figure 1k,l). When she was 4 years old at the time of her first evaluation, she presented with a height of 101 cm (P25; −1SD), an extremely thin body habitus with a weight of 12 kg (P3, −3SD). Physical examination revealed bilateral arachnodactyly (Figure 1m,n), uneven asymmetric back while bending and congenital dislocation of the hip joint. Whole spine X‐ray examination displayed severe right thoracic scoliosis with a main Cobb angle of 117° (Figure 1o,p). Transthoracic echocardiogram demonstrated anterior and posterior mitral leaflet prolapse and moderate mitral valve insufficiency without apparent aortic diameter enlargement at the sinuses of Valsalva or aortic root dissection. Ocular system abnormalities indicated bilateral downslanting palpebral fissures, epicanthus, and astigmatism. However, there were no signs or symptoms of ectopia lentis. The predominant features in this subject were an extreme congenital lack of subcutaneous fat, consistent with a lipodystrophy by physical exam, and a subsequent bodily progeroid appearance. However, this proband did not meet the revised Ghent criteria for classical MFS. Consecutive follow‐ups and assessment of the proband were conducted. Upon genotype‐driven reverse phenotyping of the proband when she was 9, the proportion of upper and lower segment lengths was basically normal with a ratio of 0.87. The proband had a height of 136 cm (P50 ,0). For comparison, her father's height measurement was 170 cm and her mother's was 160 cm. The body mass index (BMI) of the proband was extremely low (11.1 kg/m2) potentially due to disproportionate weight gain by age. More specifically, the subject had an extremely thin habitus with a weight of 20.5 Kg (P3, −3SD). Furthermore, hand and foot radiographs to potentially assess “bone age” suggested bilateral metacarpophalangeal joint dislocation, interosseous atrophy and dolichostenomelia (Figure 1q,r). The proband was eventually diagnosed with Marfanoid–progeroid–lipodystrophy syndrome (Table 2). A novel heterozygous frameshift deletion, c.8275_8291delGAGAAGACAGCCATCTT (c.8275_8291del; p.Glu2759Cysfs*9), was identified in the proband via targeted NGS. We subsequently confirmed this variant in Subject XH601, and it arose de novo through parental Sanger sequencing and trio analysis (Figure 1s). In addition to Sanger sequencing validation, we also performed in silico simulation of protein product using GENETYX (Ver.18, GENETYX CORPORATION; https://www.genetyx.co.jp), which also showed that this deletion caused a frameshift variation in the open reading frame (ORF). The resultant premature termination codon (PTC) will lead to a truncation of FBN1 protein to 2,767 amino acids (p.Glu2759Cysfs*9) (Supplementary Figure S1).
Table 2

Clinical manifestations of previously reported and our patient XH601 with Marfanoid–progeroid–lipodystrophy (MPL) syndrome with allelic truncating mutations in FBN1

 Graul‐Neumann et al. (2010)Goldblatt et al. (2011)Horn and Robinson et al. (2011)Takenouchi et al. (2013)Jacquinet et al. (2014)Garg and Xing et al. (2014)XH601 (this study)
Patient 1Patient 2
Clinical characteristics        
Age (year)27203.5101623179
GenderFemaleMaleFemaleFemaleFemaleFemaleFemaleFemale
AncestryCaucasianCaucasianCaucasianAsian (Japanese)CaucasianHispanicCaucasianAsian (Chinese)
Height (cm; [centile])17050–75108149177157.5176136
Weight (Kg; [centile])39<314.521.741.826.441.920.5
Causal FBN1 mutation        
cDNA analysisc.8155_8156delc.8156_8175delc.8226+1G>T, splice mutation, exon 65 skippingc.8175_8182delc.8226+1G>A, splice mutation, exon 65 skipping and subsequent frameshiftc.8206_8027insAc.8226+1G>T, splice mutation, exon 65 skipping

c.8275_8291del

Protein changep.(Lys2719Aspfs*18)p.(Lys2719Thrfs*12)p.(Glu2742Glufs*43)p.(Arg2726Glufs*9)p.(His2685Ilefs*9)p.(Thr2736Asnfs*1)p.(Glu2742Glufs*43)p.(Glu2759Cysfs*9)
Adjacent to Exon 65 in FBN1 YYYYYYYY
Inheritance patternDe novoDe novoDe novoDe novoDe novoDe novoDe novoDe novo
BMI (kg/m2)13.3NA12.49.813.310.613.511.1
Body fat (%)20.5NANANANA28.427.7NA
Premature birthYYYYYYYY
Birth weight (Kg)1.781.04 (<3)11.4271.721.191.17NA
Birth length (cm)41.5NA4040454040.75NA
Progeroid appearanceYYYYYYYY
Subcutaneous fat reductionYYYYYYYY
Arm span/height0.99NANANANA0.940.98NA
Upper/lower segment0,95NANANANA0.990.80.87
ProptosisYYYYYYYY
DPFNANANANANANANAY
MyopiaYY N YSevereYYY
Ectopia lentis BilateralBilateral N N N Left eye N N
High‐arched palateYYYNANAY N NA
Pectus excavatumNAYNAY N N Y N
scoliosis/ kyphosisKyphosisNANANA N ScoliosisScoliosisSevere scoliosis
Cobb angle (degrees)NANANANANANANA117
Wrist signYYNANANAYYY
Thumb signY N NANANAYYY
BMJDNANANANANANANAY
Interosseous atrophyNANANANANANANAY
ArachnodactylyNANANAYYNANAY
Hyperextensible digitsNAYNAYYYYY
Pes planus/valgusNAPes planusNANAPes valgusNAPes planusNA
Easy bruisabilityYYNANANA N N Y
MVPSY N N N N NAYY
Arrested hydrocephalusNAYYYNANANANA
RGCNANANAHydronephrosis N NANA N
Dural ectasiaLumbosacralNANAYYNANA N
HypertensionNANANAYNANANA N
CHDNANANANANANANAY

Abbreviations: BMJD, bilateral metacarpophalangeal joint dislocation; CHD, congenital hip dislocation; DPF, downslanting palpebral fissures; MVPS, mitral valve prolapse syndrome; N, no; NA, not available; RGC, renal/genitourinary complications; Y, yes.

Clinical manifestations of previously reported and our patient XH601 with Marfanoid–progeroid–lipodystrophy (MPL) syndrome with allelic truncating mutations in FBN1 c.8275_8291del Abbreviations: BMJD, bilateral metacarpophalangeal joint dislocation; CHD, congenital hip dislocation; DPF, downslanting palpebral fissures; MVPS, mitral valve prolapse syndrome; N, no; NA, not available; RGC, renal/genitourinary complications; Y, yes. Moreover, these two allelic truncating variants, p.Tyr2596Thrfs*86 and p.Glu2759Cysfs*9, were not present in ExAC, 1,000 Genomes, ESP6500, gnomAD, the Universal Mutation Database for FBN1 (UMD‐FBN1; http://www.umd.be/FBN1/) (Collod‐Beroud et al., 2003) and our in‐house control dataset. Clinical and genetic characteristics of subject XH253 with classical MFS and XH474 with “potential MFS” based on the diagnostic Ghent criteria (Loeys et al., 2010) are presented in Table 1.

NMD degradation prediction

The variant of Y2596Tfs*86 identified in XH253 was a single nucleotide frameshift deletion leading to a PTC in exon 64, while E2759Cfs*9 identified in XH601 was a frameshift deletion leading to a PTC in exon 66, the final exon of FBN1 (Figure 2a). Although both variants are very close in linear space, they may lead to distinct alterations to the FBN1 transcript. To test this hypothesis, we performed NMD predictions of the two truncating variants on NMDescPredictor (Coban‐Akdemir et al., 2018). We predicted that the transcripts with Y2596Tfs*86 would go through NMD (NMD‐competent), and that the E2759Cfs*9 transcripts would escape NMD, that is, NMD‐incompetent (Figure 2b). Using the same analytical tools, we further tested whether previously reported protein‐truncating FBN1 frameshift variants implicated in MPLS subjects (Garg & Xing, 2014; Goldblatt et al., 2011; Graul‐Neumann et al., 2010; Takenouchi et al., 2013) uniformly shared the mechanism of escaping NMD. Our analysis shows that all of the truncating FBN1 frameshift variants within the C‐terminal gene region may escape NMD, supporting the contention that the underlying disease mechanism in MPLS is the same and distinct from MFS (Figure 2b). These findings implicate a mechanism distinct from loss‐of‐function (LoF) alleles, and potentially gain‐of‐function (GoF) variant alleles (Coban‐Akdemir et al., 2018), at the FBN1 locus causing MPLS.
Figure 2

Schematic representations and NMD predictions of the p.Y2596Tfs*86 and p.E2759Cfs*9 mutations other MPLS‐affected frameshift mutations in FBN1. (a) Schematic diagrams of full‐length WT and mutant EGFP‐FBN1 plasmids transiently expressed in HEK293T. The numbers indicate the amino acid positions in FBN1. Locations of protein truncation caused by PTC are marked with red circles, respectively. The resulting frameshift and reduction in the deduced amino acid sequence caused by the p.Y2596Tfs*86 and p.E2759Cfs*9 mutations are indicated by the yellow region, respectively. (b) Prediction of frameshift variants that are potentially subject to NMD escape or NMD degradation. The mutation of p.Y2596Tfs*86 in FBN1 is predicted to be subject to degradation by triggering NMD. The p.E2759Cfs*9 mutation in FBN1 is predicted to escape NMD. All of other MPLS‐affected frameshift mutations in FBN1 are predicted to escape NMD.

Schematic representations and NMD predictions of the p.Y2596Tfs*86 and p.E2759Cfs*9 mutations other MPLS‐affected frameshift mutations in FBN1. (a) Schematic diagrams of full‐length WT and mutant EGFP‐FBN1 plasmids transiently expressed in HEK293T. The numbers indicate the amino acid positions in FBN1. Locations of protein truncation caused by PTC are marked with red circles, respectively. The resulting frameshift and reduction in the deduced amino acid sequence caused by the p.Y2596Tfs*86 and p.E2759Cfs*9 mutations are indicated by the yellow region, respectively. (b) Prediction of frameshift variants that are potentially subject to NMD escape or NMD degradation. The mutation of p.Y2596Tfs*86 in FBN1 is predicted to be subject to degradation by triggering NMD. The p.E2759Cfs*9 mutation in FBN1 is predicted to escape NMD. All of other MPLS‐affected frameshift mutations in FBN1 are predicted to escape NMD.

Perturbation of native aggregation process by MPLS‐causative truncating mutation

To further determine if the mutant FBN1 protein in MPLS is able to lead to dominant‐negative or GoF effects, plasmids expressing mutants (pEGFP‐FBN1‐Tyr2596Thrfs*86; pEGFP‐FBN1‐Glu2759Cysfs*9) and WT plasmid (pEGFP‐FBN1) were co‐transfected into HEK293T cells at a 1:1 ratio. After 48 hr of expression, lysates from cells expressing EGFP‐FBN1 fusions were analyzed by SDD‐AGE. Detection of SDS‐resistant aggregates by SDD‐AGE in cell lysates of HEK293T transiently expressing EGFP‐FBN1 fusions were investigated with SDD‐AGE and western blot. Protein expression was induced for 48 hr and detected with a monoclonal FBN1‐specific antibody. Remarkably, WT plasmid (EGFP‐FBN1 fusions) had the SDS‐resistant properties of an amyloidogenic protein structure. Since amyloid formation is time‐ and concentration‐dependent, we set the time of transient expression to 48 hr. WT plasmid (EGFP‐FBN1 fusions) aggregated after 48 hr of expression, whereas co‐transfection of pEGFP‐FBN1‐Glu2759Cysfs*9 and WT plasmid resulted in the presence of a small fraction of monomer protein. This suggests that pEGFP‐FBN1‐Glu2759Cysfs*9 apparently prohibited the native aggregation process of WT plasmid, possibly revealing an intracellular dominant‐negative mechanism. In addition, we observed that co‐transfection of pEGFP‐FBN1‐Tyr2596Thrfs*86 and WT plasmid presented a small fraction of aggregated protein. As this fraction was less than that of the WT plasmid, it can be suggested that Tyr2596Thrfs*86 may undergo an NMD mechanism thus leading to FBN1 haploinsufficiency (Figure 3a). Moreover, these variations in the range of particle sizes were observed, and again were reproducible for individual EGFP‐FBN1 fusions validated by another two independent replication experiments.
Figure 3

Functional effects of the Y2596Tfs*86 and E2759Cfs*9 mutations on FBN1 protein expression. (a) Detection of SDS‐resistant aggregates by SDD‐AGE in cell lysates of HEK293T transiently expressing EGFP‐FBN1 fusions were investigated by SDD‐AGE and western blot. Expression of the proteins was induced for 48 hr and detected with a monoclonal FBN1‐specific antibody. (b) Elevated phosphorylation of SMAD2 (pSMAD2) in individuals with truncating FBN1 variants, respectively. G2003R is used as a positive control. GAPDH is used as a loading control. pSMAD2/GAPDH ratio is shown to be normalized to the unaffected control (WT). (c) Grayscale analysis results show significantly upregulated (pSMAD2) in constructs encoding truncating FBN1 variants. EV denotes empty vector (pEGFP). RT: room temperature. Data are represented as mean ± SD of three independent experiments. * denotes p value < .05 and ** denotes p value < .01.

Functional effects of the Y2596Tfs*86 and E2759Cfs*9 mutations on FBN1 protein expression. (a) Detection of SDS‐resistant aggregates by SDD‐AGE in cell lysates of HEK293T transiently expressing EGFP‐FBN1 fusions were investigated by SDD‐AGE and western blot. Expression of the proteins was induced for 48 hr and detected with a monoclonal FBN1‐specific antibody. (b) Elevated phosphorylation of SMAD2 (pSMAD2) in individuals with truncating FBN1 variants, respectively. G2003R is used as a positive control. GAPDH is used as a loading control. pSMAD2/GAPDH ratio is shown to be normalized to the unaffected control (WT). (c) Grayscale analysis results show significantly upregulated (pSMAD2) in constructs encoding truncating FBN1 variants. EV denotes empty vector (pEGFP). RT: room temperature. Data are represented as mean ± SD of three independent experiments. * denotes p value < .05 and ** denotes p value < .01.

Disruption of downstream TGF‐β signaling

Previous studies have demonstrated that deleterious FBN1 mutations causing Marfan syndrome result in upregulated endogenous transforming growth factor β (TGF‐β) receptor signaling (Andelfinger, Loeys, & Dietz, 2016). Such signaling can be measured in plasma or indirectly measured through aberrant activation of downstream targets, including excessive phosphorylation of SMAD2 (pSMAD2) (Verstraeten, Alaerts, Van Laer, & Loeys, 2016). To determine the functional consequences of the novel truncating FBN1 variant of E2759Cfs*9 in the MPLS subject, plasmids expressing mutant EGFP‐FBN1 cDNAs were transfected into HEK293T cells. Transfected cells with truncating FBN1 variants of Y2596Tfs*86 (p = .007), E2759Cfs*9 (p = .017) and Gly2003Arg (p = .006) showed significantly elevated phosphorylation of SMAD2 (pSMAD2) in Western blots compared to the WT plasmid (Figure 3b,c). This observation is consistent with the contention that the TGF‐β signaling pathway is perturbed in a SMAD‐dependent manner in all three subjects.

Genotypic and phenotypic features of reported MPLS subjects

Intriguingly, the mechanism underlying FBN1‐related diseases involves either loss‐of‐function (LoF) or NMD surveillance pathway escape as conveyed by allelic truncating mutations. Such distinct mechanisms could contribute to distinct disease phenotypes of varying severity. According to a prior report, FBN1 LOF mutations led to classical MFS (Park et al., 2017), while predicted NMD surveillance pathway escape in FBN1 can cause a MPLS phenotype (Romere et al., 2016). Subject XH601 in our cohort harbored a de novo variant of E2759Cfs*9 in FBN1, which is located in the final exon. Notably, our MPLS subject presented with bilateral downslanting palpebral fissures, epicanthus, and eye astigmatism. The main clinical features of this complicated disorder, clustered in Table 2, include accelerated aging and postnatal lipodystrophy, poor weight gain since birth, premature birth, hyperextensible digits and generalized subcutaneous fat reduction leading to a progeroid appearance of the body in all subjects. Mental and motor development remain mostly normal. Overlapping clinical features of MPLS with MFS are phenotypically diverse. Ocular system involvement like myopia has been observed in all individuals, although hyperextensible joints, arachnodactyly, and other significant signs of classical MFS are not always present, that is, mitral valve prolapse in 4 of 8, lumbosacral dural ectasia in 2 of 3 (5 data points unavailable), pectus excavatum in 3 of 8, and ectopia lentis in 3 of 8. Scoliosis was reported in two subjects aged 23 and 17 years, and kyphosis was reported in a subject aged 27 years, but not described in the others (Table 2). Remarkably, the major Cobb angles of Subject XH253 with classical MFS and XH474 with MASS were 43° and 85°, respectively. Our MPLS subject presented a thoracic scoliosis with a major Cobb angle magnitude of 117°–a condition much more severe compared to the MFS subjects.

DISCUSSION

In the present report, we provide direct evidence for potential dominant‐negative alleles in MPLS subjects caused by truncating FBN1 variants escaping NMD. These genetic and functional investigations also include description of the first subject with MPLS of Chinese ancestry. Several case reports previously identified an association between monogenic FBN1 mutations and reduction of subcutaneous fat and/or progeroid features (Goldblatt et al., 2011; Graul‐Neumann et al., 2010; Jacquinet et al., 2014; Passarge et al., 2016; Takenouchi et al., 2013). Here, we have provided further evidence for the existence of a distinct genetic disease, MPLS, caused by FBN1 mutations. The MPLS subject in our study is characterized by accelerated aging and postnatal lipodystrophy, disproportionate weight gain since birth, severe scoliosis, downslanting palpebral fissures, bilateral metacarpophalangeal joint dislocation, mitral valve prolapse, bilateral interosseous atrophy, and congenital dislocation of the hip. Intriguingly, this subject was previously diagnosed with Marfanoid disease (Table 1) due to an unclear molecular diagnosis. We consequently performed targeted NGS on the affected proband and her unaffected parents. As a result, we identified c.8275_8291del (p.Glu2759Cysfs*9) in FBN1 as the responsible variant for the proband. Sanger sequencing was then conducted on genomic DNA from both parents to confirm the de novo occurrence and segregation with phenotypes. Subsequently, we proceeded with a comprehensive phenotypic analysis of all family members through intensive clinical follow‐up. By combining genetic data with reverse phenotyping, we eventually diagnosed the proband with MPLS. Notably, the severity of spinal deformity in the MPLS individual was significantly more severe than that in XH253 and XH474 (with classical MFS and potential MFS, respectively). We consider that MPLS is a distinct fibrillinopathy because it can be clinically distinguished from other fibrillinopathies, including classical MFS. To our knowledge, there are no other syndromes that simultaneously comprise the clinical phenotypes of marfanoid features, accelerated aging, postnatal lipodystrophy, poor weight gain since birth, and progeroid appearance. Particularly, the involvement of both reduced subcutaneous fat tissue and progeroid appearance is a remarkable characteristic of MPLS. These comprehensive findings predominate in determining the severity of defects in individuals and thus significantly influence the prognosis: lipodystrophic disorders are frequently associated with metabolic disturbance, such as insulin resistance and life‐threatening hypertriglyceridemia (Vantyghem et al., 2012). Such potential metabolic disturbances are particularly important to note prior to surgical intervention as has been noted for the ocular‐scoliotic form of Ehlers Danlos syndrome due to lysyl hydroxylase deficiency (Yeowell, Walker, Marshall, Murad, & Pinnell, 1995). Secondly, elucidation of the phenotype of MPLS has been limited due to the paucity of prior clinical reports, with only seven relevant subjects previously described. Up to now, it is known only to be caused by a single gene with a monogenic AD inheritance pattern for the disease trait. Finally, we have shown that, in terms of pathogenic mechanisms, the truncating FBN1 mutations that cause MPLS cluster in 3’ gene regions encoding the extreme C‐terminal domains and these variant alleles represent a subset that differ from those that cause classical MFS. Most of such mutations will be anticipated to escape NMD and we propose these to function via a potential mechanism between GoF and dominant‐negative and not a LoF mechanism. Fibrillin‐1 acts as the precursor to a recently described glucogenic hormone: asprosin (Davis et al., 2016a). Specifically, exon 65 of FBN1 encodes 11 amino acids, and exon 66 of FBN1 encodes 129 amino acids of asprosin (Romere et al., 2016). Recently, Chen et al. have successfully constructed a genetically modified rabbit model with a truncated C terminus of fibrillin‐1 involving the ultimate two exons which could recapitulate phenotypes associated with MPLS (Chen et al., 2018). Since individuals with low fibrillin‐1 level may fail to differentiate adipocytes to accumulate adipocyte lipids, truncating variants that occur affecting the ultimate two exons of FBN1 are prone to cause lipodystrophic phenotypes (Davis et al., 2016b). PTCs located in the final coding exon are specifically prone to escape NMD and so are processed distinctly from those in internal exons regarding transcript degradation, leading to the stable translation of truncated proteins (Bayram et al., 2017). Excessive amounts of mutated protein are therefore produced (Inoue et al., 2004), leading to a dominant‐negative mechanism and the severe MPLS disease phenotype. Consistent with this interpretation, all truncating mutations associated with MPLS are located adjacent to the penultimate exon (exon 65) and are predicted to escape NMD (Figure 4). From this perspective, it is perhaps most parsimonious to postulate that the incorporation of relatively few mutant monomers would be sufficient to impair the systemic processes of microfibrillar assembly and function.
Figure 4

The partial gene structure of the C terminus of FBN1 and overview of previously reported truncating variants in and around exon 65 in patients presenting with MPLS. Blue, purple, and red boxes denote specific domain. Light green, orange, and black boxes denote exons and the gray area between the two boxes denote introns. All truncating variants were annotated by small green circles except that c.8226+1G>T previously reported twice was annotated by a larger circle. COOH denotes COOH unique region. Deep blue box denotes purported asprosin encoded by the exons of FBN1.

The partial gene structure of the C terminus of FBN1 and overview of previously reported truncating variants in and around exon 65 in patients presenting with MPLS. Blue, purple, and red boxes denote specific domain. Light green, orange, and black boxes denote exons and the gray area between the two boxes denote introns. All truncating variants were annotated by small green circles except that c.8226+1G>T previously reported twice was annotated by a larger circle. COOH denotes COOH unique region. Deep blue box denotes purported asprosin encoded by the exons of FBN1. Aberrant activation of the TGF‐β pathway has been observed in MFS and may account for some of the musculoskeletal deformities, such as scoliosis (Buchan et al., 2014). The MPLS subject with a truncating FBN1 variant presented with severe scoliosis, which suggests that the protein change also alters TGF‐β signaling. Our results showed that upregulation of the TGF‐β pathway in plasmids expressing mutant EGFP‐FBN1 cDNAs, confirming that the variant of E2759Cfs*9 identified in the MPLS subject has functional effects in a SMAD‐dependent manner in all three subjects. Our study indicated that the two phenotypes associated with FBN1 mutations, MPLS and MFS are caused by two distinct molecular mechanisms. The more complicated phenotype of MPLS, which had its first report in the Chinese population, is caused by a nonsense mutation within the glucogenic hormone asprosin domain of FBN1 (Romere et al., 2016). Truncated mutant FBN1 proteins were produced by the mutation. These proteins disrupt the process of native amyloid‐like structure conformation and exert potent intracellular dominant‐negative activity. In this view, abnormal protein derived from the mutant allele interacts and interferes with protein derived from the normal allele, consequently resulting in substantial loss‐of‐function. Supportive evidence includes (a) de novo monogenic AD inheritance pattern, and (b) aggregation of fibrillin‐1 in which the mutated monomer derived from the mutant allele impairs the fundamental structure of its wild‐type protein derived from the normal allele counterpart. This deficiency could be supported by SDD‐AGE analysis, suggesting that dominant‐negative interference is not restricted to enhanced proteolytic clearance of mutant microfibrils over time (Brenn, Aoyama, Francke, & Furthmayr, 1996), but rather could also occur at the level of intracellular aggregate formation processes. Consistently with our findings, Romere et al. have indirectly proved that some MPLS‐associated mutant FBN1 alleles (c.8206_8207insA and 8226+1G>T) which are predicted to avoid mRNA NMD, have a dominant‐negative effect on secretion of asprosin from the corresponding WT alleles in both human and mouse (Romere et al., 2016). The more moderate phenotype, classical MFS, is caused by nonsense mutations that activate the NMD RNA surveillance pathway, thereby degrading mutant transcripts and resulting in FBN1 haploinsufficiency. The data support the concept of distinct pathogenetic mechanisms, GoF versus LoF (Bayram et al., 2017; Coban‐Akdemir et al., 2018; Poli et al., 2018), for each well‐established subgroup of fibrillinopathy, which mostly hinges on the intrinsic features of fibrillin‐1 mutations. It is of crucial significance to dissect the locus heterogeneity, clinical relevance and overlapping clinical features with other disorders in a phenotype‐driven approach that characterizes much of clinical practice (White et al., 2018). In conclusion, we provide direct evidence of dominant‐negative effects of truncating FBN1 variants predicted to escape NMD in MPLS subjects. Our study expands the mutational spectrum of FBN1 and highlights the potential molecular mechanism for MPLS subjects, which facilitates our understanding of genotype–phenotype correlations in FBN1 to provide effective genetic counseling, implementation and timing of therapy (e.g. mitigation of TGF‐β hypersignaling, surgical intervention for cardiovascular complications or for scoliosis), or early intervention.

CONFLICT OF INTEREST

J.R.L has stock ownership in 23andMe, is a paid consultant for Regeneron Pharmaceuticals, and is a co‐inventor on multiple the United States and European patents related to molecular diagnostics for inherited neuropathies, eye diseases, and bacterial genomic fingerprinting. The Department of Molecular and Human Genetics at Baylor College of Medicine derives revenue from the chromosomal microarray analysis and clinical exome sequencing offered in the Baylor Genetics Laboratory (http://bmgl.com). Click here for additional data file.
  36 in total

1.  Potential Phenotype-Genotype Correlation in Marfan Syndrome: When Less is More?

Authors:  Harry C Dietz
Journal:  Circ Cardiovasc Genet       Date:  2015-04

2.  Novel de novo nonsense mutation of FBN1 gene in a patient with Marfan syndrome.

Authors:  Young-Hwa Song; Gu-Hwan Kim; Han-Wook Yoo; June-Bum Kim
Journal:  J Genet       Date:  2012-08       Impact factor: 1.166

3.  REST Final-Exon-Truncating Mutations Cause Hereditary Gingival Fibromatosis.

Authors:  Yavuz Bayram; Janson J White; Nursel Elcioglu; Megan T Cho; Neda Zadeh; Asuman Gedikbasi; Sukru Palanduz; Sukru Ozturk; Kivanc Cefle; Ozgur Kasapcopur; Zeynep Coban Akdemir; Davut Pehlivan; Amber Begtrup; Claudia M B Carvalho; Ingrid Sophie Paine; Ali Mentes; Kivanc Bektas-Kayhan; Ender Karaca; Shalini N Jhangiani; Donna M Muzny; Richard A Gibbs; James R Lupski
Journal:  Am J Hum Genet       Date:  2017-07-06       Impact factor: 11.025

4.  Progeroid facial features and lipodystrophy associated with a novel splice site mutation in the final intron of the FBN1 gene.

Authors:  Denise Horn; Peter N Robinson
Journal:  Am J Med Genet A       Date:  2011-03-15       Impact factor: 2.802

5.  Further evidence for a marfanoid syndrome with neonatal progeroid features and severe generalized lipodystrophy due to frameshift mutations near the 3' end of the FBN1 gene.

Authors:  Jack Goldblatt; Jill Hyatt; Caitlin Edwards; Ian Walpole
Journal:  Am J Med Genet A       Date:  2011-03-15       Impact factor: 2.802

6.  Molecular mechanism for distinct neurological phenotypes conveyed by allelic truncating mutations.

Authors:  Ken Inoue; Mehrdad Khajavi; Tomoko Ohyama; Shin-ichi Hirabayashi; John Wilson; James D Reggin; Pedro Mancias; Ian J Butler; Miles F Wilkinson; Michael Wegner; James R Lupski
Journal:  Nat Genet       Date:  2004-03-07       Impact factor: 38.330

7.  Regulated Formation of an Amyloid-like Translational Repressor Governs Gametogenesis.

Authors:  Luke E Berchowitz; Greg Kabachinski; Margaret R Walker; Thomas M Carlile; Wendy V Gilbert; Thomas U Schwartz; Angelika Amon
Journal:  Cell       Date:  2015-09-24       Impact factor: 41.582

8.  Severe congenital lipodystrophy and a progeroid appearance: Mutation in the penultimate exon of FBN1 causing a recognizable phenotype.

Authors:  Toshiki Takenouchi; Mariko Hida; Yoshiaki Sakamoto; Chiharu Torii; Rika Kosaki; Takao Takahashi; Kenjiro Kosaki
Journal:  Am J Med Genet A       Date:  2013-08-16       Impact factor: 2.802

Review 9.  De novo heterozygous FBN1 mutations in the extreme C-terminal region cause progeroid fibrillinopathy.

Authors:  Abhimanyu Garg; Chao Xing
Journal:  Am J Med Genet A       Date:  2014-03-24       Impact factor: 2.802

10.  Genetic and molecular mechanism for distinct clinical phenotypes conveyed by allelic truncating mutations implicated in FBN1.

Authors:  Mao Lin; Zhenlei Liu; Gang Liu; Sen Zhao; Chao Li; Weisheng Chen; Zeynep Coban Akdemir; Jiachen Lin; Xiaofei Song; Shengru Wang; Qiming Xu; Yanxue Zhao; Lianlei Wang; Yuanqiang Zhang; Zihui Yan; Sen Liu; Jiaqi Liu; Yixin Chen; Yuzhi Zuo; Xu Yang; Tianshu Sun; Xin-Zhuang Yang; Yuchen Niu; Xiaoxin Li; Wesley You; Bintao Qiu; Chen Ding; Pengfei Liu; Shuyang Zhang; Claudia M B Carvalho; Jennifer E Posey; Guixing Qiu; James R Lupski; Zhihong Wu; Jianguo Zhang; Nan Wu
Journal:  Mol Genet Genomic Med       Date:  2019-11-27       Impact factor: 2.183

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  10 in total

Review 1.  Lipodystrophy-associated progeroid syndromes.

Authors:  David Araújo-Vilar; Antía Fernández-Pombo; Silvia Cobelo-Gómez; Ana I Castro; Sofía Sánchez-Iglesias
Journal:  Hormones (Athens)       Date:  2022-07-15       Impact factor: 3.419

2.  Serum levels of Asprosin in patients diagnosed with coronary artery disease (CAD): a case-control study.

Authors:  Nariman Moradi; Fatima Zahraa Fouani; Akram Vatannejad; Abbas Bakhti Arani; Soraya Shahrzad; Reza Fadaei
Journal:  Lipids Health Dis       Date:  2021-08-21       Impact factor: 3.876

3.  Dissecting ELANE neutropenia pathogenicity by human HSC gene editing.

Authors:  Shuquan Rao; Yao Yao; Josias Soares de Brito; Qiuming Yao; Anne H Shen; Ruth E Watkinson; Alyssa L Kennedy; Steven Coyne; Chunyan Ren; Jing Zeng; Anna Victoria Serbin; Sabine Studer; Kaitlyn Ballotti; Chad E Harris; Kevin Luk; Christian S Stevens; Myriam Armant; Luca Pinello; Scot A Wolfe; Roberto Chiarle; Akiko Shimamura; Benhur Lee; Peter E Newburger; Daniel E Bauer
Journal:  Cell Stem Cell       Date:  2021-01-28       Impact factor: 24.633

4.  Genetic and molecular mechanism for distinct clinical phenotypes conveyed by allelic truncating mutations implicated in FBN1.

Authors:  Mao Lin; Zhenlei Liu; Gang Liu; Sen Zhao; Chao Li; Weisheng Chen; Zeynep Coban Akdemir; Jiachen Lin; Xiaofei Song; Shengru Wang; Qiming Xu; Yanxue Zhao; Lianlei Wang; Yuanqiang Zhang; Zihui Yan; Sen Liu; Jiaqi Liu; Yixin Chen; Yuzhi Zuo; Xu Yang; Tianshu Sun; Xin-Zhuang Yang; Yuchen Niu; Xiaoxin Li; Wesley You; Bintao Qiu; Chen Ding; Pengfei Liu; Shuyang Zhang; Claudia M B Carvalho; Jennifer E Posey; Guixing Qiu; James R Lupski; Zhihong Wu; Jianguo Zhang; Nan Wu
Journal:  Mol Genet Genomic Med       Date:  2019-11-27       Impact factor: 2.183

5.  Delineation of dual molecular diagnosis in patients with skeletal deformity.

Authors:  Lian Liu; Liying Sun; Yujun Chen; Muchuan Wang; Chenxi Yu; Yingzhao Huang; Sen Zhao; Huakang Du; Shaoke Chen; Xin Fan; Wen Tian; Zhihong Wu; Guixing Qiu; Terry Jianguo Zhang; Nan Wu
Journal:  Orphanet J Rare Dis       Date:  2022-03-28       Impact factor: 4.123

6.  Case Report: A Novel Homozygous Missense Variant of FBN3 Supporting It Is a New Candidate Gene Causative of a Bardet-Biedl Syndrome-Like Phenotype.

Authors:  Maria Luce Genovesi; Barbara Torres; Marina Goldoni; Eliana Salvo; Claudia Cesario; Massimo Majolo; Tommaso Mazza; Carmelo Piscopo; Laura Bernardini
Journal:  Front Genet       Date:  2022-07-15       Impact factor: 4.772

7.  A deep phenotyping experience: up to date in management and diagnosis of Malan syndrome in a single center surveillance report.

Authors:  Marina Macchiaiolo; Filippo M Panfili; Davide Vecchio; Michaela V Gonfiantini; Fabiana Cortellessa; Cristina Caciolo; Marcella Zollino; Maria Accadia; Marco Seri; Marcello Chinali; Corrado Mammì; Marco Tartaglia; Andrea Bartuli; Paolo Alfieri; Manuela Priolo
Journal:  Orphanet J Rare Dis       Date:  2022-06-18       Impact factor: 4.303

Review 8.  Genotype-phenotype correlations of marfan syndrome and related fibrillinopathies: Phenomenon and molecular relevance.

Authors:  Ze-Xu Chen; Wan-Nan Jia; Yong-Xiang Jiang
Journal:  Front Genet       Date:  2022-08-16       Impact factor: 4.772

Review 9.  Adipokines, Myokines, and Hepatokines: Crosstalk and Metabolic Repercussions.

Authors:  Ana Rita de Oliveira Dos Santos; Bárbara de Oliveira Zanuso; Vitor Fernando Bordin Miola; Sandra Maria Barbalho; Patrícia C Santos Bueno; Uri Adrian Prync Flato; Claudia Rucco P Detregiachi; Daniela Vieira Buchaim; Rogério Leone Buchaim; Ricardo José Tofano; Claudemir Gregório Mendes; Viviane Alessandra Capelluppi Tofano; Jesselina F Dos Santos Haber
Journal:  Int J Mol Sci       Date:  2021-03-05       Impact factor: 5.923

10.  CRISPR/Cas9 in zebrafish: An attractive model for FBN1 genetic defects in humans.

Authors:  Xiaoyun Yin; Jianxiu Hao; Yuanqing Yao
Journal:  Mol Genet Genomic Med       Date:  2021-07-29       Impact factor: 2.183

  10 in total

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