- Open Access
Potential predictors of severe cardiovascular involvement in Marfan syndrome: the emphasized role of genotype–phenotype correlations in improving risk stratification—a literature review
Orphanet Journal of Rare Diseases volume 16, Article number: 245 (2021)
Marfan syndrome (MFS) is a genetically determined systemic connective tissue disorder, caused by a mutation in the FBN1 gene. In MFS mainly the cardiovascular, musculoskeletal and ocular systems are affected. The most dangerous manifestation of MFS is aortic dissection, which needs to be prevented by a prophylactic aortic root replacement.
The indication criteria for the prophylactic procedure is currently based on aortic diameter, however aortic dissections below the threshold defined in the guidelines have been reported, highlighting the need for a more accurate risk stratification system to predict the occurrence of aortic complications. The aim of this review is to present the current knowledge on the possible predictors of severe cardiovascular manifestations in MFS patients, demonstrating the wide range of molecular and radiological differences between people with MFS and healthy individuals, and more importantly between MFS patients with and without advanced aortic manifestations. These differences originating from the underlying common molecular pathological processes can be assessed by laboratory (e.g. genetic testing) and imaging techniques to serve as biomarkers of severe aortic involvement. In this review we paid special attention to the rapidly expanding field of genotype–phenotype correlations for aortic features as by collecting and presenting the ever growing number of correlations, future perspectives for risk stratification can be outlined.
Data on promising biomarkers of severe aortic complications of MFS have been accumulating steadily. However, more unifying studies are required to further evaluate the applicability of the discussed predictors with the aim of improving the risk stratification and therefore the life expectancy and quality of life of MFS patients.
Marfan syndrome (MFS) is a systemic connective tissue disorder, affecting approximately 1 in 3000–5000 people . The main clinical features are presented in the cardiovascular, musculoskeletal and ocular systems [2, 3]. MFS is inherited in an autosomal dominant manner, but around 25% of the mutations are de novo. No predilection exists regarding race, ethnicity or gender, and it is important to highlight the considerable variability of the symptoms between and within families [4, 5]. The diagnosis of the disease is based on the revised Ghent nosology, in which aortic involvement, ectopia lentis and genetic background are emphasized more than in previous guidelines . The management of MFS patients require a multidisciplinary approach, and apart from the physical symptoms, psychological factors need to be taken into consideration as they can be quite different in people with MFS compared to individuals without the disease .
Genetic background and pathomechanism
MFS is caused by a mutation of the FBN1 gene located on the long arm of chromosome 15 . To date more than 3000 genetic variants of the FBN1 gene have been reported  (HGMD Professional 2020.3). The most common mutation type in MFS is missense, of which the ones involving a cysteine amino acid appear most frequently. Other variants include nonsense and frameshift mutations leading to premature termination codon (PTC) as well as in-frame deletions/insertions and splicing-affecting intronic mutations . Copy number variations (CNVs > 50 bp) and other structural variants can also be responsible for the disease [10, 11]. Cysteine, of which more than 360 can be found in fibrillin-1, has a particularly important role in the tertiary structure of this protein through the formation of disulfide bridges . Fibrillin-1 contains 46–47 epidermal growth factor (EGF) domains, 42–43 of which are calcium binding. Each EGF domains have six highly conserved cysteine residues that are involved in disulfide bond formation . Furthermore, there are 7 TB (TGF-β-binding protein-like) domains that contain 8 cysteine each and further 2 hybrid domains .
Fibrillin-1 is a key component in the extracellular matrix. Fibrillin-1 molecules build up microfibrils that either connect with elastin to form elastic fibres, which is the case in the walls of elastic arteries, or fulfill their structural function without elastin, for which ciliary zonules in the eye are an example . Fibrillin-1 also has a regulatory role in transforming growth factor-β (TGF-β) signaling. TGF-β is synthesized as an inactive precursor and it contains a prodomain called latency associated peptide (LAP), and they together form the so called small latent complex (SLC). The LAP covalently binds to a latent TGF-β binding protein (LTBP) forming the large latent complex (LLC), which is connected to fibrillin-1 through the LTBP, and this way TGF-β is sequestered in the extracellular matrix [13, 14]. Therefore, in case of fibrillin-1 disruption, TGF-β sequestration fails resulting in increased plasma TGF-β level. Excessive TGF-β signaling is an important aspect of the pathogenesis of MFS features . Regarding aortic complications, overactivity of TGF-β enhances collagen production leading to reduced aortic wall compliance, upregulates the level of elastase and matrix-metalloproteinases (MMP) resulting in elastic fiber degradation, and this extracellular matrix remodeling eventually weakens the aortic wall making it more susceptible for aneurysm formation and dissection .
Presentation, prevention and treatment of cardiovascular manifestations
The largest burden of MFS is associated with the cardiovascular involvement, aortic complications being the main cause of mortality . The most severe cardiovascular manifestations are aortic root aneurysm and dissection, both of which can occur at other parts of the aorta as well. Apart from these, mitral valve prolapse with or without regurgitation, tricuspid valve prolapse or pulmonary artery dilation are also often seen in MFS . Mitral valve prolapse is the leading cause of cardiovascular morbidity, mortality and cardiac surgery in children with severe MFS . Of these cardiovascular features, aortic root dilation occurs most frequently, leading to aortic regurgitation and carrying the risk of aortic dissection and rupture .
Aortic dissection is a life-threatening manifestation and it develops at a significantly younger age in people with MFS compared to patients without MFS . Approximately two-thirds of the cases are type A dissections , meaning that the ascending aorta is affected, requiring open surgical repair . Type A dissection needs to be prevented by prophylactic aortic root replacement to provide the patients with a long-term survival accompanied by a good quality of life. Aortic root replacement has two main types. Bentall operation has been the gold standard method, involving the replacement of the aortic root with a mechanical valved conduit. Due to the implantation of a mechanical valve, its main disadvantage is the need for life-long anticoagulation and its associated complications . This issue can be overcome by keeping the patient’s native valve with a valve sparing root replacement procedure. This comprises the remodeling technique also known as Yacoub operation and the reimplantation method also known as David surgery . The main advantage of the remodeling is the preservation of aortic root function, while reimplantation stabilizes the annulus. These can be carried out for patients with aortic valves minimally affected by the disease . In case of prophylactic indication, Bentall operations and valve sparing techniques seem to have similar long-term results .
Prophylactic aortic root replacement is associated with more favorable short- and long-term outcomes compared to aortic root replacement carried out due to acute aortic dissection. The most important difference can be found in the surgical mortality rates. A prophylactic aortic root replacement carries a risk of death of approximately 2%, while the operative mortality of an acute type A aortic dissection can be as high as 20%-25% [24,25,26]. In addition, emergency aortic root replacement also results in worse long term survival . Furthermore, emergency procedures are less likely to be carried out by applying valve sparing techniques, leading to repeated aortic operations more often than elective surgeries. In the long term, MFS patients undergoing emergency aortic root replacement were more frequently presented with chronic dissection distal to the operation site and with larger aortic diameters throughout the entire aorta except for the abdominal part as well as with lower quality of life accompanied by a lower activity score . Furthermore, MFS patients who underwent acute life-saving aortic root replacement showed a significantly higher trait anxiety level than the normal population, but this difference was not observed between patients with a prophylactic aortic root replacement and the normal population .
The obvious benefits of a prophylactic aortic root replacement highlight the pivotal role of a highly sensitive and specific risk stratification system to identify patients in need for a prophylactic intervention. Currently the indication criteria of a preventive surgery are centered around aortic diameter: in MFS an ascending aorta with the size of ≥ 50 mm is an indication for the procedure, while in case of any of the risk factors stated in the guidelines (family history of aortic dissection, desire for pregnancy, severe aortic- or mitral regurgitation, systemic hypertension and/or aortic size increase > 3 mm/year) intervention should be considered at the size of ≥ 45 mm . However, in a subset of MFS patients aortic dissection occurs before aortic diameter reaches the threshold required for the indication of prophylactic repair [28, 31, 32], making the aortic diameter less reliable as the main indicator for a preventive procedure . On the other hand, having the threshold too low would result in exposing patients in whom a dissection would never develop to the risks of a cardiac surgery . These findings demonstrate the need for the improvement of the current risk stratification system, to be able to optimize patient selection for the prophylactic aortic root replacement.
Great effort has been made to provide this system with the potential to improve, as data on various factors associated with aortic complications have been accumulating. Therefore, the aim of this review is to explore these possible predictors of severe aortic involvement in MFS patients, with a special attention paid to the current knowledge on the rapidly expanding genotype–phenotype correlations.
Biomarkers are required to predict the development of severe aortic involvement, especially acute type A aortic dissection in MFS patients. Several studies with varying success have been carried out to identify the predictors of severe aortic manifestations. Figure 1 summarizes the potential biomarkers discussed in this review.
Biomarkers measured in blood samples
One of these biomarkers is TGF-β, which is a paracrine regulatory molecule with a role in several biological processes, and its elevated level is a key component in the development of the Marfanoid phenotype . Based on the pathomechanism, a higher bioavailability of the active molecule should lead to more severe clinical features. Therefore, the level of TGF-β has been assessed as a possible predictor, although the results are inconsistent. Ogawa et al. investigated the total TGF-β1 in blood in 32 MFS patients and they did not find it to be elevated compared to the control group, and no correlations were identified between TGF-β1 concentration and phenotype severity . However, in another study, blood total TGF-β1 was increased in patients with MFS compared to non-MFS individuals, but no significant correlation was shown with the size of sinuses of Valsalva and Z-score. Importantly, total TGF-β1 level was lower in MFS patients receiving losartan, beta blockers or both, in comparison to untreated individuals . Similarly, when Franken and colleagues analyzed the level of TGF-β in blood in a larger cohort of 99 MFS patients, a significantly higher baseline blood TGF-β level was revealed in MFS patients compared to healthy controls. They also investigated the possible correlation of blood TGF-β level with progressive aortic root dilation and dissection, and they found that aortic root diameters correlated significantly with circulating TGF-β concentrations in MFS patients without previous aortic surgery. Moreover, patients with a prior aortic root replacement had significantly increased circulating TGF-β compared to patients without prior aortic operation. After a mean follow-up of 3 years, circulating TGF-β levels significantly correlated with aortic root growth. Patients with a TGF-β concentration above 140 pg/ml had a 6.5-fold-increased risk for the combined endpoints of aortic dissection and elective aortic root operation . Our group also investigated the possible predictor role of TGF-β. We measured the level of active TGF-β in blood in 24 patients with MFS, and it appeared to be higher in MFS patients with prior surgery compared to the control group of non-MFS individuals, and in the aortic dissection group levels were higher than in patients with annuloaortic ectasia. TGF-β was revealed to be an independent predictor for aortic dissection . Kim et al. also found elevated concentrations of active and latent TGF-β1 in peripheral blood of MFS patients compared to non-MFS individuals, and in contrast to the previously mentioned studies, beside the clinical outcomes Kim et al. sought to determine the correlation of blood TGF-β1 levels with the degree of cystic medial degeneration. The level of active TGF-β1 in blood positively correlated with SMAD2 phosphorylation (i.e. the activation of SMAD2) and with the severity of elastic fiber fragmentation, apoptosis and ground substance deposition in the medial layer of aneurysmal aortic tissue of MFS patients. SMAD2 phosphorylation level was also found to be correlated with the severity of pathological changes in the aortic wall. However, no association was found between blood TGF-β1 level and aortic root diameter, and no significant difference was observed in terms of the investigated features in patients with and without aortic dissection at the time of surgery. As Kim and colleagues state, this could be explained by the fact that MFS patients with severe aortic manifestations were included in the study. It is important to note that they included 41 MFS patients, but blood samples were collected only from 10 of them . Circulating TGF-β levels were also evaluated in 28 non-MFS patients within the first 24 h of acute aortic dissection. They found fivefold elevations in the aortic dissection group compared to the control group, and the level of TGF-β was increased in type A dissections compared to type B ones, suggesting a possible biomarker role of circulating TGF-β even in non-MFS patients .
The different results of the described studies could be due to many factors. These include population size, disease severity of studied individuals, treatment with cardiovascular medications and also ex vivo platelet degranulation can influence the results . Well-designed multicenter prospective studies involving large number of patients are required to decide on the role of TGF-β levels in the prediction of aortic complications, before it could be applied in the clinical management of MFS patients.
Homocysteine is a sulfhydryl amino acid and it is a key member of the methionine cycle. Elevated levels of blood homocysteine have been associated with vascular disease development , and homocystinuria is a related disorder of MFS characterized by Marfanoid habitus, ectopia lentis, mental retardation and thrombotic events .
The association of homocysteine levels and methylenetetrahydrofolate reductase (MTHFR) C677T polymorphism with the severity of cardiovascular involvement has been evaluated in MFS patients. Significantly increased blood total homocysteine (tHcy) levels were found in patients with aortic dilation and/or aortic dissection (the group with severe involvement) compared to individuals with mild cardiovascular manifestations. Furthermore, the aortic dissection subgroup was revealed to have highertHcy levels and a higher prevalence of C677T homozygotes than the severe group without aortic dissection, and patients with aortic dissection also had a larger prevalence of C677T homozygotes than the mild cardiovascular group. After multivariate regression analyzes, homocysteinemia was associated with the risk of severe cardiovascular involvement or aortic dissection . Similarly, our group identified homocysteine blood level as an independent risk factor for severe cardiovascular involvement including aortic dissection in MFS. In this study, the level of homocysteine was significantly increased in individuals with aortic dissection compared to other groups of patients with or without mild cardiovascular manifestations, severe aortic dilation and controls. Folate blood level was also measured and it appeared to be significantly lower in the aortic dissection group than in the other ones. In the same study, four polymorphisms of three folic acid metabolism enzymes, namely MTHFR, 5-methyltetrahydrofolate-homocysteine methyltransferase (MTR) and 5-methyltetrahydrofolate-homocysteine methyltransferase reductase (MTRR) were analyzed, and used to calculate a single nucleotide polymorphism (SNP) risk score. This score was the highest in patients with aortic dissection compared to the other groups, meaning that the aortic dissection group had the largest prevalence for homozygotes and heterozygotes for the four investigated gene polymorphisms. A genotype–phenotype correlation was found between homocysteine blood level and the examined gene polymorphisms . A possible explanation for the association of elevated homocysteine levels and cardiovascular involvement severity can be the high susceptibility of the key aortic wall component, fibrillin-1 to homocysteinylation due to its great number of EGF-like domain content. Homocysteinylation damages proteins with various mechanisms, one of which is the disruption of disulfide bridge formation [43, 44]. Therefore, increased levels of homocysteine could be used to predict the development of a more malignant aortic phenotype. Furthermore, vitamin B12 supplementation could reduce homocysteine level with the potential of lowering the risk of aortic complications .
Biomarkers assessed by medical imaging
A promising predictor of severe aortic involvement can be the assessment of arterial tortuosity. Arterial tortuosity is a feature of hereditary aortopathies, mainly characteristic not only for arterial tortuosity syndrome but also for Loeys-Dietz syndrome (LDS) as well as also present in MFS, aneurysm-osteoarthritis syndrome and familial thoracic aneurysms and aortic dissections. Arterial tortuosity can be defined by the increased number of turns on the involved artery . Shaine A. Morris and colleagues hypothesized that increased arterial tortuosity could indicate vessel fragility and its objective measure could be associated with clinical outcome in connective tissue disorders. They analyzed magnetic resonance angiography images and calculated the vertebral tortuosity index (VTI) for 90 patients with confirmed connective tissue diseases including 57 individuals with MFS. They report that vertebral artery tortuosity is common in MFS, and regarding the connective tissue disorder group, a higher VTI was found to be associated with more severely dilated aortic root, higher cardiac surgery rate, and younger age at aortic dissection, heart surgery and death . Franken et al. investigated 211 MFS patients with 3D MR imaging and they defined the aortic tortuosity index (ATI) with the aim to serve as a marker for aortic disease severity and a predictor of clinical outcome, like elective aortic surgery and aortic dissection. They found a lower ATI in controls compared to matched MFS patients. ATI showed a positive correlation with aortic diameter and aortic volume expansion rate in 3 years follow-up, but it did not correlate with aortic root dilation rate. ATI was found to be an independent predictor of clinical outcome, including type B aortic dissection. Type A aortic dissection did not occur during the follow-up period . As the geometry of the examined vessels can be influenced by the skeletal features of MFS, our group previously decided to assess the tortuosity of visceral arteries that are less likely to be altered by the skeletal manifestations. We investigated the correlation between the tortuosity of visceral arteries (splenic artery, right and left renal artery) and the severity of cardiovascular involvement in 37 MFS patients, and additional geometric metrics were calculated to provide a more precise description of the analyzed arteries. We found that the tortuosity of the mentioned arteries was increased in MFS compared to controls, with the geometry being dominated by higher amplitude and lower frequency curves. Patients with prior aortic surgery had increased tortuosity in the right and left renal arteries in comparison with MFS patients without previous aortic operation, suggesting visceral artery tortuosity as a possible new predictor of severe aortic involvement in MFS .
The mechanism of the development of increased arterial tortuosity is not known, but there are studies that hypothesized the role of oxidative stress in arterial tortuosity syndrome , abnormal lengthening of the arteries probably caused by maladaptation to axial stress, resulting in curving and bending , and increased TGF-β activity [45, 46]. As discussed above, the latter can also be a potential predictor of severe aortic involvement.
In summary, there is a strong indication that increased tortuosity can be observed on multiple arterial segments in MFS patients, and the degree of tortuosity could be associated to the severity of aortic involvement. However, the latter association should be further investigated to determine its predictive value.
Another field where potential biomarkers could arise is aortic biomechanics, mostly referring to aortic stiffness. Aortic distensibility and pulse wave velocity (PWV), which are markers for aortic stiffness, were measured at ascending-, descending- and abdominal aortic segment levels using MRI in 80 MFS patients without advanced aortic disease and in 36 age- and sex-matched controls. In the MFS group aortic distensibility was lower at the investigated three aortic levels, and aortic arch-, and ascending-to-abdominal aorta PWV appeared to be higher than in the control group. MFS patients with and without aortic root dilation were both found to have lower aortic distensibility and increased aortic arch PWV than controls at the investigated three levels, but ascending-to-abdominal aorta PWV was only higher in the group with dilated aorta. Therefore, this study showed that aortic stiffening is present in MFS patients without advanced aortic involvement . These findings could indicate that aortic involvement occurs before dilation, however, longitudinal studies are required to evaluate their predictive value on severe aortic manifestations. A study with a median follow-up of 2.7 years involving patients with connective tissue disorder, mainly MFS, found that lower aortic distensibility was independently associated with aortic root replacement surgery, and higher rates of aortic dilation were present in case of lower ascending aortic strain. The authors also showed that higher aortic stiffness was associated with higher vertebral tortuosity index, the previously discussed potential predictor for aortic complications . Among other findings, Nollen et al. identified that a decreased distensibility of the descending thoracic aorta had an independent predictive value for the progressive dilation of the descending thoracic aorta . Mortensen et al. applied applanation tonometry to assess aortic stiffness and pulse wave reflection and their correlation with aortic disease severity in 50 MFS patients for a mean follow-up time of 22 months. Augmentation index was found to be associated with aortic disease progression, while lower aortic disease progression was demonstrated in case of lower augmentation index and lower PWV . When investigating the use of regional PWV in the prediction of regional aortic luminal growth for a 2 year period, more than 78% of MFS patients without regional aortic luminal growth was found to have a normal PWV value at baseline . This finding could serve as a negative predictor of progressive aortic disease. In a recently published prospective study involving 117 MFS patients followed-up on an average of 85.7 months, proximal aorta longitudinal strain was identified as an independent predictor of aortic dilation, and it was independently related to the fastest aortic dilation and to aortic events (aortic dissection and elective surgery) .
These findings together suggest that apart from aortic root size, other parameters assessed by medical imaging could be considered in the risk evaluation for aortic events in individuals with MFS.
Furthermore, the predictive role of previous aortic root or ascending aortic surgery for the occurrence of type B aortic dissection should be also highlighted here . Diameters of the distal aorta were also found to be larger in patients with than without previous aortic surgery. One explanation can be that patients requiring surgery are more severely affected by the disease, however, it is also important to consider that intervention on the proximal aorta can have an impact on the distal parts due to hemodynamic and wall mechanics alterations . These findings necessitate a close monitoring of the distal aorta after operations of the proximal segments.
An expanding and promising field that aims to improve the risk stratification of severe aortic events in MFS is the examination of possible genotype–phenotype correlations. The use of genetic background in the risk assessment, and in some cases even in clinical management has been already applied in cardiovascular diseases . As an example, prophylactic aortic surgery in LDS can be considered at lower aortic diameter in the presence of TGFBR2 mutation . Genetic variants leading to an increased risk of aortic events could also be considered as biomarkers with the potential to contribute to the establishment of a more accurate risk stratification system for aortic dissection.
Despite the associations between phenotype and genetic background have been investigated since FBN1 was identified as the causative gene for MFS , to date only a few widely accepted correlations exist.
One is in regard with the ocular system. Ectopia lentis, a characteristic feature of MFS, was found to be less frequent in PTC variants than in missense mutations, especially the ones with cysteine involvement, and this finding has been reported throughout the literature [60,61,62,63].
Other well-defined correlation is based on the location of the genetic variant. Mutations in exons 24–32 are associated with neonatal MFS, which is the most severe form of the disease with a short life expectancy. The main cause of death is congestive heart failure caused by mitral and tricuspid regurgitation in this patient population . However, variants in this region have also been reported to result in atypically severe and classic MFS .
Furthermore, the FBN1 mutation p.Gly1013Arg, which is located in the neonatal region (Exon 24) has been reported in a couple of unrelated patients with MFS, each time leading to atypically severe disease with advanced cardiovascular features and with a longer survival than the neonatal form [65,66,67].
Aortic involvement severity based on variant type
Results have been conflicting in the field of genotype–phenotype correlations, which could be down to small sample sizes and differences in study designs or due to co-occurring genetic modifier(s)  or differences in blood pressure load damaging the aortic wall. However, certain trends have emerged that could give base for larger studies with the aim of establishing well-defined correlations that could contribute to the improvement of risk stratification of aortic complications in MFS patients.
Faivre et al. carried out their research on a large sample scale involving 803 probands with confirmed FBN1 mutations and available clinical information based on the UMD-FBN1 database . Regarding the cardiovascular features, they found that missense mutations eliminating a cysteine had a higher probability of ascending aortic dilation and mitral valve prolapse than mutations creating a cysteine. When comparing patients with a variant in the neonatal region (exons 24–32) to patients with mutations outside this region, the former group possessed a higher cumulative probability of ascending aortic dilation and aortic surgery before or at the age of 40 years. However, they did not find differences between the certain mutation types in terms of aortic complications .
Further correlations were revealed in a study involving 179 patients with confirmed FBN1 mutations. In patients with aortic events (aortic dissection and/or surgery), the mutation type was mainly truncating (nonsense and frameshift) or splicing, only 21% were missense ones. Furthermore, truncating or splicing variants were present in only 39% of all probands without aortic event, and their frequency was also lower in Ghent-positive patients without aortic event. A trend was observed toward aortic dissection or surgery occurring at younger age in patients with a truncating or splicing mutation compared to people with a missense variant. A further trend was noted toward aortic dissection patients having truncating or splicing variants more frequently than patients who underwent a prophylactic surgery . Further studies found that aortic dissection was more common in PTC variants than in mutations with cysteine substitution, however this difference was not significant [60, 70]. In contrast, Loeys et al. did not find a higher prevalence of aortic dissection in PTC mutations compared to cysteine substitutions , and cardiovascular manifestations did not differ among these 2 variant groups in other studies [72, 73]. Pees et al. did not reveal any difference in terms of aortic involvement when PTC and missense mutations were compared . Wang et al. analyzed the associations in 39 FBN1-positive Chinese patients, and identified a higher probability of cardiovascular complications in case of PTC or splicing variants compared to missense ones. Interestingly, they report a more vulnerable cardiovascular system in patients with missense mutation not affecting a cysteine, than in case of cysteine affecting genetic variants .
Franken et al. classified FBN1 mutations according to their effect on protein level as dominant negative (DN) or haploinsufficient (HI) variants . In a simplified form, DN variants (e.g. missense mutations and in-frame insertions/deletions) lead to proteins with altered structure/function but with normal expression level. In contrast, HI mutations (PTC-introducing nonsense mutations and frameshift insertions/deletions) result in a reduced expression of the mutant allele and thus to reduced total amount of fibrillin-1. Franken and colleagues used the Dutch CONgenital CORvitia (CONCOR) registry database involving 570 MFS patients to assess the correlations between aortic complications and the HI and DN mutation types. Genetic testing was carried out for 433 patients and 357 pathogenic FBN1 mutations were identified. Patients with a HI mutation reached the clinical endpoints of aortic dissection and aortic surgery significantly more frequently than individuals with DN variants. After a mean follow-up of about 8 years, the HI group had an increased risk for cardiovascular death (2.5-fold), for the combined clinical endpoint of cardiovascular death and aortic dissection (2.4-fold), and for any cardiovascular events (1.6-fold) than the DN group. Similarly, when investigating aortic events in patients without cardiovascular complications at the time of inclusion in the CONCOR registry, HI patients showed an increased risk for the combined endpoint of cardiovascular death and aortic dissection and for any aortic event. Age at aortic dissection was significantly lower for the HI mutations compared to the DN ones. In conclusion, the findings of Franken et al. suggest that HI genetic variants lead to more severe cardiovascular manifestations in MFS patients .
In another publication the authors have further investigated the effect of these mutations by assessing the aortic dilation rate and cardiovascular events among the HI and DN genetic variants. Having no difference in age and body surface area (BSA), patients with HI mutations were found to have larger aortic root diameter than the ones with a DN variant at baseline, but no difference existed in terms of aortic surgery and aortic dissection. However, the HI group underwent surgery at significantly younger age. The aortic dilation rate was significantly higher in the HI group at the level of the aortic root and tubular ascending aorta, but the other parts of the aorta did not differ in terms of dilation rate between the groups. In addition, HI tended to pose a higher risk of aortic dissection and cardiovascular death, compared to DN genetic variants .
Consistently with these results, patients with truncating mutations (nonsense or frameshift) experienced a higher rate of aortic events (aortic dilation over surgical thresholds and type A aortic dissection) and these events even—although not significantly—occurred at a younger age compared to missense variants in a study involving 90 patients with FBN1 mutation . Similarly, nonsense and frameshift mutations were found to be more deleterious in a cohort of 180 patients with confirmed FBN1 mutation, as they were more frequent in patients with aortic dissection than in individuals with aortic aneurysm. On the contrary, the proportion of missense variants was higher in the aortic aneurysm than in the aortic dissection group. The authors also investigated the aortic wall specimens and found that nonsense and frameshift variants caused more severe pathological changes in the aortic wall than missense mutations . In contrast, Hernándiz et al. did not identify significant difference in aortic involvement between HI and DN mutations in their study on 61 MFS patients. However, there was a tendency toward more frequent aortic involvement in missense mutations substituting a cysteine compared to other missense variants. Furthermore, the DN group had nearly significantly more cases without aortic involvement than the HI group. More patients with HI variant had aortic dissection and these occurred at younger age than in individuals with DN mutations, but the difference did not reach a statistically significant level .
Based on the results of the reviewed studies, it could be concluded that HI variants are more likely to result in a severe aortic phenotype. However, patients with DN mutations also experience aortic events, raising the question whether subtypes leading to severe cardiovascular manifestations could be identified within this group. This issue is also emphasized by the previously mentioned finding that mutations eliminating a cysteine lead to aortic dilation more frequently than the ones introducing this amino acid . This observation demonstrates that not all missense mutations carry the same risk of aortic events, and also raises the possibility that variants eliminating cysteine has the potential to cause malignant cardiovascular phenotype, which could be explained by the important role of this amino acid in the protein structure reached by enabling disulfide bond formations. Indeed, these questions were considered in a study conducted by Takeda et al. involving 248 patients with FBN1 mutations, where HI variants were again proved to have a higher risk for severe aortic events (type A aortic dissection, aortic root replacement and aorta-related death) than DN mutations, although they identified a subgroup within the DN variants with similar deleterious effect as HI ones. This subgroup comprised of patients with mutations affecting existing or creating new cysteine residues and in-frame deletions in the calcium-binding EGF (cb-EGF) domains of exons 25–36 and 43–49 (DN-CD). The newly identified DN-CD subtype had a significantly higher risk of severe aortic events than the remaining DN variants (DN-nonCD), but no significant difference was observed when comparing DN-CD and HI mutations. In addition, the DN-CD + HI group had a higher Z-score compared to DN-nonCD variants . Similarly, our research group also further classified the DN variants based on their cardiovascular effect. The classification was influenced by the above-mentioned finding that elimination of a cysteine is more deleterious than the introduction of this amino acid. Therefore, we classified DN mutations into ones that eliminate a disulfide-bonding cysteine (DN Cys) and the ones not eliminating a disulfide-bonding cysteine (DN non-Cys). Comparing these two groups of DN variants, DN Cys was revealed to lead to aortic involvement (aortic dilation and/or dissection) more frequently than DN non-Cys variants. To make a classification system applicable within clinical settings, we created the combined group of the high-risk HI and DN Cys variants and compared it to DN non-Cys mutations. We found that aortic involvement was more frequent in the combined group of HI and DN Cys than in DN non-Cys. In addition, patients with DN Cys variants required aortic surgery more frequently than patients with HI and DN non-Cys mutations. Therefore, in our study DN Cys mutations appeared to be more deleterious than HI ones . Similarly, when genotype–phenotype correlations were assessed in a pediatric cohort, missense variants affecting a cysteine showed a higher rate of sinuses of Valsalva dilation than missense mutations not affecting cysteine. However, no differences in cardiovascular involvement were observed when comparing the other mutation types .
Arnaud et al. investigated genotype–phenotype correlations in the cardiovascular and other systems in a large cohort comprising 1575 MFS patients with (likely) pathogenic FBN1 variants. PTC mutations (nonsense, splice site and insertions/deletions of a number of nucleotides not divisible by 3) were found to lead to a more severe aortic phenotype, including a higher risk for aortic dissection or surgery, larger aortic root diameter despite younger age and a shorter life expectancy compared to in-frame variants (missense and small insertions/deletions of a number of nucleotides that are a multiple of 3). Arnaud et al. further categorized the in-frame variants according to cysteine involvement, creating the following groups: substitution of cysteine for another amino acid (-Cys), substitution for a cysteine (+ Cys) and missense variants not modifying cysteine (noCys). In-frame -Cys mutations were associated with severe cardiovascular features, + Cys variants resulted in fewer aortic events and the noCys group demonstrated an intermedier aortic risk. Notably, in-frame, especially -Cys variants in the region of exons 24–32 were associated with severe aortic involvement, while PTC variants in this region did not result in severe aortic phenotype .
Table 1 summarizes the main findings of the discussed articles on genotype–phenotype correlations.
Future perspectives for genotype–phenotype correlations
Based on the results so far, considering the genetic background of a patient could contribute to a more accurate risk stratification for severe cardiovascular involvement. Figure 2 presents a potential management approach in MFS patients based on their genetic background. According to this, HI and DN Cys variants are more likely to lead to more severe aortic involvement, than DN non-Cys mutations, therefore patients with HI and DN Cys mutations require more frequent follow-up and earlier prophylactic aortic root replacement than individuals with DN non-Cys mutations. In case of the latter group, current guidelines could be applied. This approach has been proposed in our previous work for patients with MFS , and the above reviewed results seem to strengthen this potential management strategy.
However, before clinical application, further investigations are in need with larger patient cohorts and in a prospective manner in order to precisely estimate the risk of the certain mutation types.
Besides their prognostic value, genotype–phenotype associations could also play a role in the decision making of medication selection. Losartan, an angiotensin II type 1 receptor (AT1) antagonist showed more promising results in the correction of aortic complications in a mouse model of MFS compared to beta-blockers , however, no difference was found between losartan and atenolol in the rate of aortic root dilation when investigated in humans . In addition to pharmacogenetic predisposition to the metabolization of losartan , genotype–phenotype correlations could provide a solution for this issue, as Franken et al. identified MFS patients with HI mutation to have a better response to losartan therapy in terms of reducing aortic dilation rate compared to patients with DN variant . This highlights the potential use of genetic background in medication prescription for MFS patients to provide more personalized therapy. This is also demonstrated in Fig. 2.
Genotype–phenotype correlations have the possibility to be used in a wide-range of areas, further studies are required to unveil their full potential to reach personalized patient care.
The GeneReviews article on MFS by H. Dietz, which covers all the relevant aspects of the syndrome, states that there are no definitive genotype–phenotype correlations, therefore identifying the pathogenic variant of the patient carries no real prognostic and therapeutic value . However, as we demonstrated, promising information on this issue has been growing, therefore in the future it may be advisable to rethink the role of these associations in patient care.
Other potential biomarkers
Besides the discussed potential biomarkers, other factors have also been investigated as possible predictors of serious cardiovascular manifestations in MFS. In our above-mentioned study about increased TGF-β levels as a promising biomarker, we assessed further possible predictors. We found that the MMP3 gene in peripheral blood mononuclear cells showed significant up-regulation in patients with dissection in comparison with the annuloaortic- and control groups, and also striae atrophicae was significantly more common in patients with aortic dissection than in patients with annuloaortic ectasia . MMPs are upregulated by TGF-β in the aortic wall and they cause elastic fiber degradation . Based on the important role of MMPs in aortic disease pathogenesis in MFS, the blood level of soluble form of extracellular MMP inducer (EMMPRIN) that has already been investigated in several diseases was analyzed in 42 MFS patients. It was found that soluble EMMPRIN levels in blood negatively correlated with the severity of aortic dilation according to the Z-score. Patients with aortic ectasia defined by Z-score ≥ 2 had lower soluble EMMPRIN levels than patients without aortic ectasia . Another potential biomarker originating from extracellular matrix degradation is blood fibrillin fragment concentration. Marshall et al. measured the level of fibrillin-1, fibrillin-2 and fibulin-4 fragments in blood samples of 1265 patients with aortic aneurysm and dissection, including individuals with MFS. They found that fibrillin-1 and fibrillin-2 fragments were detectable in a higher proportion of patients with aneurysm than in controls, while fibulin-4 was detectable more frequently in control samples. In addition, patients with thoracic aortic aneurysm who developed acute or subacute aortic dissection were more likely to have higher fibrillin-1 fragment levels than thoracic aortic aneurysm patients without dissection, indicating a more severe aortic involvement .
Fiorillo et al. examined the levels of the oxidative stress marker, protein carbonyl content (protein CO) in blood in 32 MFS patients. Protein CO appeared to be higher in the blood of individuals with MFS compared to the control group, and it was also elevated in patients with major cardiovascular and skeletal, or major cardiovascular and ocular involvement in comparison to the remaining patients .
When investigating gene expressions in 55 MFS patients, multiple EGF like domains 8 gene (MEGF8) was significantly down-regulated in patients with aortic root dilation compared to the non-dilated group. Furthermore, the expression of major histocompatibility complex, class II, DR beta 1 and 5 genes (HLADRB-1 and HLADRB-5) was significantly increased in the progressive dilation group in comparison to patients with low dilatation rate. This finding indicates a role of increased inflammation in severe aortic involvement. The authors also measured the levels of TGF-β and inflammatory markers in blood. TGF-β was elevated in patients with aortic dilation compared to patients with normal sized aortic root, but after correction for sex, age and BSA, TGF-β levels did not correlate with aortic root diameter nor with the progression of aortic root size. However, one inflammatory cytokine, namely Macrophage-Colony Stimulating Factor (M-CSF) was found to correlate with the progression of aortic root dilation .
A recently emerging, promising tool to identify potential hemodynamic and biomechanical predictors is 4D flow cardiac magnetic resonance (CMR) imaging. Guala et al. used this technique to analyze blood flow and wall shear stress (WSS) patterns in 75 MFS patients, including 20 without aortic dilation and 48 healthy controls. Among other findings, the authors identified reduced in-plane rotational flow in the distal ascending and proximal descending aortic regions in MFS patients even in the absence of dilation, and also revealed a statistically significant reduction of circumferential WSS in the left/inner regions of the proximal descending aorta in MFS without dilation. The authors suggest that in-plane rotational flow and circumferential WSS could serve as an early marker of descending aortic dilation in MFS . In a longitudinal evaluation of aortic hemodynamics in 19 adolescent MFS patients with 3.5-year follow-up, hemodynamic parameters remained stable over time. Compared to healthy controls, however, a significant reduction in regional WSS of the inner segment of the proximal descending aorta associated with abnormal localized flow patterns and enlarged diameter was detected. These alterations became more pronounced during the follow-up, but no significant changes were observed in other aortic segments, only in the proximal descending aorta . Further studies have also been carried out to identify hemodynamic and biomechanical patterns with 4D flow CMR in MFS patients with the aim of detecting clinically relevant predictors for aortic manifestations [93, 94].
The factors demonstrated in this last section of biomarkers have been only sporadically reported, but further investigations could determine their role as possible predictors and their relation to the already identified predictors.
Figure 3 demonstrates the main constituents of the pathomechanism of the aortic involvement in MFS highlighting connection points of the discussed predictors.
MFS patients face an increased risk of aortic complications that greatly contribute to the overall mortality and morbidity of the disease. Several factors were demonstrated so far to correlate with the severity of aortic manifestations and these could be used to improve risk stratification, to optimize patient follow-up and the indication criteria for a preventive surgery. These possible predictors play a role in the pathogenesis or are the consequence of the disease and they can be assessed by laboratory and imaging studies. The main identified biomarkers are circulating TGF-β and homocysteine levels, arterial tortuosity, aortic biomechanical parameters and genotype–phenotype correlations. Larger, unifying studies are required to further evaluate the role of these findings to be able to combine them with the systolic blood pressure load as the main trigger of aortic dissection and rupture, creating a more accurate risk stratification system for MFS patients.
Availability of data and materials
Aortic tortuosity index
Angiotensin II type 1 receptor
Body surface area
Copy number variation
DN variant affecting or creating cysteine residues and in-frame variants in the central cb-EGF domains (exons 25–36 and 43–49)
DN mutation eliminating a disulfide-bonding cysteine
DN variant neither affecting nor creating cysteine residues and in-frame variants in the central cb-EGF domains (exons 25–36 and 43–49)
- DN non-Cys:
DN mutations not eliminating a cysteine
Epidermal growth factor
Extracellular MMP inducer
- FBN1 :
- HLADRB-1 :
Major histocompatibility complex, class II, DR beta 1 gene
- HLADRB-5 :
Major histocompatibility complex, class II, DR beta 5 gene
Latency associated peptide
Large latent complex
Latent TGF-β binding protein
- MEGF8 :
Multiple EGF like domains 8 gene
Macrophage-colony stimulating factor
5-Methyltetrahydrofolate-homocysteine methyltransferase reductase
Missense variants not modifying cysteine
- protein CO:
Protein carbonyl content
Premature termination codon
Pulse wave velocity
Small latent complex
Single nucleotide polymorphism
Transforming growth factor-β
Transforming growth factor beta receptor 2 gene
Vertebral tortuosity index
Wall shear stress
Missense variant substituting another amino acid for a cysteine
Missense variant substituting a cysteine for another amino acid
Najafi A, Caspar SM, Meienberg J, Rohrbach M, Steinmann B, Matyas G. Variant filtering, digenic variants, and other challenges in clinical sequencing: a lesson from fibrillinopathies. Clin Genet. 2020;97(2):235–45.
Dietz H. Marfan Syndrome. 2001 Apr 18 [Updated 2017 Oct 12]. In: Adam MP, Ardinger HH, Pagon RA, et al., editors. GeneReviews® [Internet]. Seattle (WA): University of Washington, Seattle; 1993–2021. https://www.ncbi.nlm.nih.gov/books/NBK1335/
Judge DP, Dietz HC. Marfan’s syndrome. Lancet (London, England). 2005;366(9501):1965–76.
Salik I, Rawla P. Marfan Syndrome. [Updated 2020 Jun 24]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2021 Jan. https://www.ncbi.nlm.nih.gov/books/NBK537339/.
Ramirez F, Dietz HC. Marfan syndrome: from molecular pathogenesis to clinical treatment. Curr Opin Genet Dev. 2007;17(3):252–8.
Loeys BL, Dietz HC, Braverman AC, Callewaert BL, De Backer J, Devereux RB, et al. The revised Ghent nosology for the Marfan syndrome. J Med Genet. 2010;47(7):476–85.
Pólos M, Benke K, Ágg B, Stengl R, Szabó A, Nagy A, et al. Psychological factors affecting Marfan syndrome patients with or without cardiac surgery. Ann Palliat Med. 2020;9(6):52–52.
Takeda N, Inuzuka R, Maemura S, Morita H, Nawata K, Fujita D, et al. Impact of pathogenic FBN1 variant types on the progression of aortic disease in patients with Marfan syndrome. Circ Genomic Precis Med. 2018;11(6):e002058.
Franken R, Heesterbeek TJ, De Waard V, Zwinderman AH, Pals G, Mulder BJ, et al. Diagnosis and genetics of Marfan syndrome. Expert Opin Orphan Drugs. 2014;2(10):1049–62.
Mátyás G, Alonso S, Patrignani A, Marti M, Arnold E, Magyar I, et al. Large genomic fibrillin-1 (FBN1) gene deletions provide evidence for true haploinsufficiency in Marfan syndrome. Hum Genet. 2007;122(1):23–32.
Benke K, Ágg B, Meienberg J, Kopps AMAM, Fattorini N, Stengl R, et al. Hungarian Marfan family with large FBN1 deletion calls attention to copy number variation detection in the current NGS era. J Thorac Dis. 2018;10(4):2456–60.
Vollbrandt T, Tiedemann K, El-Hallous E, Lin G, Brinckmann J, John H, et al. Consequences of cysteine mutations in calcium-binding epidermal growth factor modules of fibrillin-1. J Biol Chem. 2004;279(31):32924–31.
Robertson I, Jensen S, Handford P. TB domain proteins: evolutionary insights into the multifaceted roles of fibrillins and LTBPs. Biochem J. 2011;433(2):263–76.
Ramirez F, Sakai LY, Dietz HC, Rifkin DB. Fibrillin microfibrils: multipurpose extracellular networks in organismal physiology. Physiol Genomics. 2005;19:151–4.
Benke K, Ágg B, Szilveszter B, Tarr F, Nagy ZBB, Pólos M, et al. The role of transforming growth factor-beta in Marfan syndrome. Cardiol J. 2013;20(3):227–34.
Murdoch JL, Walker BA, Halpern BL, Kuzma JW, Mckusick VA. Life expectancy and causes of death in the Marfan syndrome. N Engl J Med. 1972;286(15):804–8.
Isekame Y, Gati S, Aragon-Martin JA, Bastiaenen R, Kondapally Seshasai SR, Child A. Cardiovascular management of adults with marfan syndrome. Eur Cardiol Rev. 2016;11(2):102–10.
de Beaufort HWL, Trimarchi S, Korach A, Di Eusanio M, Gilon D, Montgomery DG, et al. Aortic dissection in patients with Marfan syndrome based on the IRAD data. Ann Cardiothorac Surg. 2017;6(6):633–41.
Nienaber CA, Clough RE, Sakalihasan N, Suzuki T, Gibbs R, Mussa F, et al. Aortic dissection. Nat Rev Dis Prim. 2016;2(July):16053.
Mookhoek A, Korteland NM, Arabkhani B, Di Centa I, Lansac E, Bekkers JA, et al. Bentall procedure: a systematic review and meta-analysis. Ann Thorac Surg [Internet]. 2016;101(5):1684–9. https://doi.org/10.1016/j.athoracsur.2015.10.090.
Shimizu H, Yozu R. Valve-sparing aortic root replacement. Ann Thorac Cardiovasc Surg. 2011;17(4):330–6.
Benedetto U, Melina G, Takkenberg JJM, Roscitano A, Angeloni E, Sinatra R. Surgical management of aortic root disease in Marfan syndrome: a systematic review and meta-analysis. Heart. 2011;97(12):955–8.
Price J, Magruder JT, Young A, Grimm JC, Patel ND, Alejo D, et al. Long-term outcomes of aortic root operations for Marfan syndrome: a comparison of Bentall versus aortic valve-sparing procedures Read at the 95th Annual Meeting of the American Association for Thoracic Surgery, Seattle, Washington, April 25–29, 2015. J Thorac Cardiovasc Surg [Internet]. 2016;151(2):330–8. https://doi.org/10.1016/j.jtcvs.2015.10.068
Evangelista A, Isselbacher EM, Bossone E, Gleason TG, Di Eusanio M, Sechtem U, et al. Insights from the international registry of acute aortic dissection: a 20-year experience of collaborative clinical research. Vol. 137, Circulation. Lippincott Williams and Wilkins; 2018. p. 1846–60.
Elsayed RS, Cohen RG, Fleischman F, Bowdish ME. Acute type a aortic dissection. Cardiol Clin [Internet]. 2017;35(3):331–45. https://doi.org/10.1016/j.ccl.2017.03.004.
Wallen T, Habertheuer A, Bavaria JE, Hughes GC, Badhwar V, Jacobs JP, et al. Elective aortic root replacement in North America: analysis of STS adult cardiac surgery database. Ann Thorac Surg [Internet]. 2019;107(5):1307–12. https://doi.org/10.1016/j.athoracsur.2018.12.039.
Benke K, Ágg B, Szabó L, Szilveszter B, Odler B, Pólos M, et al. Bentall procedure: quarter century of clinical experiences of a single surgeon. J Cardiothorac Surg. 2016;11(1):1–9.
Song HK, Kindem M, Bavaria JE, Dietz HC, Milewicz DM, Devereux RB, et al. Long-term implications of emergency versus elective proximal aortic surgery in patients with Marfan syndrome in the Genetically Triggered Thoracic Aortic Aneurysms and Cardiovascular Conditions Consortium Registry. J Thorac Cardiovasc Surg. 2012;143(2):282–6.
Benke K, Ágg B, Pólos M, Sayour AA, Radovits T, Bartha E, et al. The effects of acute and elective cardiac surgery on the anxiety traits of patients with Marfan syndrome. BMC Psychiatry. 2017;17(1):1–7.
Baumgartner H, Falk V, Bax JJ, De Bonis M, Hamm C, Holm PJ, et al. ESC/EACTS Guidelines for the management of valvular heart disease. Eur Heart J. 2017;38:2739–86.
Neri E, Barabesi L, Buklas D, Vricella LA, Benvenuti A, Tucci E, et al. Limited role of aortic size in the genesis of acute type A aortic dissection. Eur J Cardio-thoracic Surg. 2005;28(6):857–63.
Kim EK, Choi SH, Sung K, Kim WS, Choe YH, Oh JK, et al. Aortic diameter predicts acute type A aortic dissection in patients with Marfan syndrome but not in patients without Marfan syndrome. J Thorac Cardiovasc Surg [Internet]. 2014;147(5):1505–10. https://doi.org/10.1016/j.jtcvs.2013.05.025.
Ágg B, Benke K, Szilveszter B, Pólos M, Daróczi L, Odler B, et al. Possible extracardiac predictors of aortic dissection in Marfan syndrome. BMC Cardiovasc Disord. 2014;14(1):47.
Treasure T, Takkenberg JJM, Pepper J. Surgical management of aortic root disease in Marfan syndrome and other congenital disorders associated with aortic root aneurysms. Heart. 2014;100(20):1571–6.
Ogawa N, Imai Y, Nishimura H, Kato M, Takeda N, Nawata K, et al. Circulating transforming growth factor β-1 level in Japanese patients with Marfan syndrome. Int Heart J. 2013;54(1):23–6.
Matt P, Schoenhoff F, Habashi J, Holm T, Van Erp C, Loch D, et al. Circulating transforming growth factor-β in Marfan syndrome. Circulation. 2009;120(6):526–32.
Franken R, Den Hartog AW, De Waard V, Engele L, Radonic T, Lutter R, et al. Circulating transforming growth factor-β as a prognostic biomarker in Marfan syndrome. Int J Cardiol [Internet]. 2013;168(3):2441–6. https://doi.org/10.1016/j.ijcard.2013.03.033.
Kim KL, Yang JH, Song SH, Kim JY, Jang SY, Kim JM, et al. Positive correlation between the dysregulation of transforming growth factor-β1 and aneurysmal pathological changes in patients with marfan syndrome. Circ J. 2013;77(4):952–8.
Suzuki T, Trimarchi S, Sawaki D, Grassi V, Costa E, Rampoldi V, et al. Circulating transforming growth factor-beta levels in acute aortic dissection. J Am Coll Cardiol [Internet]. 2011;58(7):775. https://doi.org/10.1016/j.jacc.2010.01.079.
Kang SS, Rosenson RS. Analytic approaches for the treatment of hyperhomocysteinemia and its impact on vascular disease. Cardiovasc Drugs Ther. 2018;32(2):233–40.
Giustia B, Porciania MC, Brunelli T, Evangelisti L, Fedi S, Gensini GF, et al. Phenotypic variability of cardiovascular manifestations in Marfan Syndrome. Possible role of hyperhomocysteinemia and C677T MTHFR gene polymorphism. Eur Heart J. 2003;24(22):2038–45.
Benke K, Ágg B, Mátyás G, Szokolai V, Harsányi G, Szilveszter B, et al. Gene polymorphisms as risk factors for predicting the cardiovascular manifestations in Marfan syndrome: role of folic acid metabolism enzyme gene polymorphisms in Marfan syndrome. Thromb Haemost. 2015;114(4):748–56.
Krumdieck CL, Prince CW. Mechanisms of homocysteine toxicity on connective tissues: implications for the morbidity of aging. J Nutr. 2000;130(2 SUPPL.):365–8.
Hubmacher D, Tiedemann K, Bartels R, Rgen Brinckmann J, Vollbrandt T, Bä B, et al. Modification of the Structure and Function of Fibrillin-1 by Homocysteine Suggests a Potential Pathogenetic Mechanism in Homocystinuria *. 2005; http://www.jbc.org/
Morris SA. Arterial tortuosity in genetic arteriopathies. Curr Opin Cardiol. 2015;30(6):587–93.
Morris SA, Orbach DB, Geva T, Singh MN, Gauvreau K, Lacro RV. Increased vertebral artery tortuosity index is associated with adverse outcomes in children and young adults with connective tissue disorders. Circulation. 2011;124(4):388–96.
Franken R, El Morabit A, De Waard V, Timmermans J, Scholte AJ, Van Den Berg MP, et al. Increased aortic tortuosity indicates a more severe aortic phenotype in adults with Marfan syndrome. Int J Cardiol. 2015;194:7–12.
Ágg B, Szilveszter B, Daradics N, Benke K, Stengl R, Kolossváry M, et al. Increased visceral arterial tortuosity in Marfan syndrome. Orphanet J Rare Dis. 2020;15(1):1–10.
Lee Y-C, Huang H-Y, Chang C-J, Cheng C-H, Chen Y-T. Mitochondrial GLUT10 facilitates dehydroascorbic acid import and protects cells against oxidative stress: mechanistic insight into arterial tortuosity syndrome. Hum Mol Genet. 2010;19(19):3721–33.
Teixido-Tura G, Redheuil A, Rodríguez-Palomares J, Gutiérrez L, Sánchez V, Forteza A, et al. Aortic biomechanics by magnetic resonance: Early markers of aortic disease in Marfan syndrome regardless of aortic dilatation? Int J Cardiol [Internet]. 2014;171(1):56–61. https://doi.org/10.1016/j.ijcard.2013.11.044.
Prakash A, Adlakha H, Rabideau N, Hass CJ, Morris SA, Geva T, et al. Segmental aortic stiffness in children and young adults with connective tissue disorders: relationships with age, aortic size, rate of dilation, and surgical root replacement. Circulation. 2015;132(7):595–602.
Nollen GJ, Groenink M, Tijssen JGP, Van Der Wall EE, Mulder BJM. Aortic stiffness and diameter predict progressive aortic dilatation in patients with Marfan syndrome. Eur Heart J. 2004;25(13):1146–52.
Mortensen K, Aydin MA, Rybczynski M, Baulmann J, Abdul Schahidi N, Kean G, et al. Augmentation index relates to progression of aortic disease in adults with marfan syndrome. Am J Hypertens [Internet]. 2009;22(9):971–9. https://doi.org/10.1038/ajh.2009.115.
Kröner ESJ, Scholte AJHA, De Koning PJH, Van Den Boogaard PJ, Kroft LJM, Van Der Geest RJ, et al. MRI-assessed regional pulse wave velocity for predicting absence of regional aorta luminal growth in marfan syndrome. Int J Cardiol [Internet]. 2013;167(6):2977–82. https://doi.org/10.1016/j.ijcard.2012.08.057.
Guala A, Teixidó-Tura G, Rodríguez-Palomares J, Ruiz-Muñoz A, Dux-Santoy L, Villalva N, et al. Proximal aorta longitudinal strain predicts aortic root dilation rate and aortic events in Marfan syndrome. Eur Heart J. 2019;40(25):2047-2054A.
Den Hartog AW, Franken R, Zwinderman AH, Timmermans J, Scholte AJ, Van Den Berg MP, et al. The risk for type B aortic dissection in Marfan syndrome. J Am Coll Cardiol. 2015;65(3):246–54.
Mulder BJM. The distal aorta in the Marfan syndrome. Netherlands Hear J. 2008;16(11):382–6.
Giudicessi JR, Kullo IJ, Ackerman MJ. Precision Cardiovascular Medicine: State of Genetic Testing. Mayo Clin Proc [Internet]. 2017;92(4):642–62. https://doi.org/10.1016/j.mayocp.2017.01.015.
Dietz HC, Cutting CR, Pyeritz RE, Maslen CL, Sakai LY, Corson GM, et al. Marfan syndrome caused by a recurrent de novo missense mutation in the fibrillin gene. Nature. 1991;352:337–9.
Schrijver I, Liu W, Odom R, Brenn T, Oefner P, Furthmayr H, et al. Premature termination mutations in FBN1: distinct effects on differential allelic expression and on protein and clinical phenotypes. Am J Hum Genet. 2002;71(2):223–37.
Faivre L, Collod-Beroud G, Loeys BL, Child A, Binquet C, Gautier E, et al. Effect of mutation type and location on clinical outcome in 1,013 probands with Marfan syndrome or related phenotypes and FBN1 mutations: an international study. Am J Hum Genet. 2007;81(3):454–66.
Becerra-muñoz VM, Gómez-doblas JJ, Porras-martín C, Such-martínez M, Crespo-leiro MG, Barriales-villa R, et al. The importance of genotype–phenotype correlation in the clinical management of Marfan syndrome. 2018;1–9.
Franken R, Teixido-Tura G, Brion M, Forteza A, Rodriguez-Palomares J, Gutierrez L, et al. Relationship between fibrillin-1 genotype and severity of cardiovascular involvement in Marfan syndrome. Heart. 2017;103(22):1795–9.
Robinson PN, Booms P, Katzke S, Ladewig M, Neumann L, Palz M, et al. Mutations of FBN1 and genotype-phenotype correlations in Marfan syndrome and related fibrillinopathies. Hum Mutat. 2002;20(3):153–61.
Tiecke F, Katzke S, Booms P, Robinson PN, Neumann L, Godfrey M, et al. Classic, atypically severe and neonatal Marfan syndrome: twelve mutations and genotype–phenotype correlations in FBN1 exons 24–40. Eur J Hum Genet. 2001;9(1):13–21.
Nijbroek G, Sood S, McIntosh I, Francomano CA, Bull E, Pereira L, et al. Fifteen novel FBN1 mutations causing Marfan syndrome detected by heteroduplex analysis of genomic amplicons. Am J Hum Genet. 1995;57(1):8–21.
Willis BR, Lee M, Rethanavelu K, Fung JLF, Wong RMS, Hui P, et al. A case of G1013R FBN1 mutation: a potential genotype–phenotype correlation in severe Marfan syndrome. Am J Med Genet Part A. 2020;182(6):1329–35.
Collod-Béroud G, Le Bourdelles S, Ades L, Ala-Kokko L, Booms P, Boxer M, et al. Update of the UMD-FBN1 mutation database and creation of an FBN1 polymorphism database. Hum Mutat. 2003;22(3):199–208.
Baudhuin LM, Kotzer KE, Lagerstedt SA. Increased frequency of FBN1 truncating and splicing variants in Marfan syndrome patients with aortic events. Genet Med. 2015;17(3):177–87.
Rommel K, Karck M, Haverich A, Von Kodolitsch Y, Rybczynski M, Müller G, et al. Identification of 29 novel and nine recurrent fibrillin-1 (FBN1) mutations and genotype–phenotype correlations in 76 patients with Marfan syndrome. Hum Mutat. 2005;26(6):529–39.
Loeys B, De Backer J, Van Acker P, Wettinck K, Pals G, Nuytinck L, et al. Comprehensive molecular screening of the FBN1 gene favors locus homogeneity of classical Marfan syndrome. Hum Mutat. 2004;24(2):140–6.
Comeglio P, Johnson P, Arno G, Brice G, Evans A, Aragon-Martin J, et al. The importance of mutation detection in Marfan syndrome and Marfan-related disorders: report of 193 FBN1 mutations. Hum Mutat. 2007;28(9):928.
Arbustini E, Grasso M, Ansaldi S, Malattia C, Pilotto A, Porcu E, et al. Identification of sixty-two novel and twelve known FBN1 mutations in eighty-one unrelated probands with Marfan syndrome and other fibrillinopathies. Hum Mutat. 2005;26(5):494.
Pees C, Michel-Behnke I, Hagl M, Laccone F. Detection of 15 novel mutations in 52 children from 40 families with the Marfan or Loeys-Dietz syndrome and phenotype–genotype correlations. Clin Genet. 2014;86(6):552–7.
Wang WJ, Han P, Zheng J, Hu FY, Zhu Y, Xie JS, et al. Exon 47 skipping of fibrillin-1 leads preferentially to cardiovascular defects in patients with thoracic aortic aneurysms and dissections. J Mol Med. 2013;91(1):37–47.
Franken R, Den Hartog AW, Radonic T, Micha D, Maugeri A, Van Dijk FS, et al. Beneficial outcome of losartan therapy depends on type of FBN1 mutation in Marfan syndrome. Circ Cardiovasc Genet. 2015;8(2):383–8.
Franken R, Groenink M, De Waard V, Feenstra HMA, Scholte AJ, Van Den Berg MP, et al. Genotype impacts survival in Marfan syndrome. Eur Heart J. 2016;37(43):3285–90.
Xu S, Li L, Fu Y, Wang X, Sun H, Wang J, et al. Increased frequency of FBN1 frameshift and nonsense mutations in Marfan syndrome patients with aortic dissection. Mol Genet Genomic Med. 2020;8(1):1–10.
Hernándiz A, Zúñiga A, Valera F, Domingo D, Ontoria‐Oviedo I, Marí JF, et al. Genotype FBN1 /Phenotype relationship in a cohort of patients with Marfan syndrome. Clin Genet [Internet]. 2020;(October):cge.13879. https://doi.org/10.1111/cge.13879
Stengl R, Bors A, Ágg B, Pólos M, Matyas G, Molnár MJ, et al. Optimising the mutation screening strategy in Marfan syndrome and identifying genotypes with more severe aortic involvement. Orphanet J Rare Dis. 2020;15(1):290.
Stark VC, Hensen F, Kutsche K, Kortüm F, Olfe J, Wiegand P, et al. Genotype–phenotype correlation in children: the impact of FBN1 variants on pediatric marfan care. Genes (Basel). 2020;11(7):1–15.
Arnaud P, Milleron O, Hanna N, Ropers J, Ould Ouali N, Affoune A, et al. Clinical relevance of genotype–phenotype correlations beyond vascular events in a cohort study of 1500 Marfan syndrome patients with FBN1 pathogenic variants. Genet Med [Internet]. 2021. https://doi.org/10.1038/s41436-021-01132-x.
Habashi JP, Judge DP, Holm TM, Cohn RD, Loeys BL, Cooper TK, et al. Losartan, an AT1 antagonist, prevents aortic aneurysm in a mouse model of Marfan syndrome. Science. 2006;312(5770):117–21.
Lacro RV, Dietz HC, Sleeper LA, Yetman AT, Bradley TJ, Colan SD, et al. Atenolol versus losartan in children and young adults with Marfan’s syndrome. N Engl J Med. 2014;22:2061–71.
Caspar SM, Schneider T, Meienberg J, Matyas G. Added value of clinical sequencing: WGS-based profiling of pharmacogenes. www.mdpi.com/journal/ijms
Chung AWY, Au Yeung K, Sandor GGS, Judge DP, Dietz HC, Van Breemen C. Loss of elastic fiber integrity and reduction of vascular smooth muscle contraction resulting from the upregulated activities of matrix metalloproteinase-2 and -9 in the thoracic aortic aneurysm in Marfan syndrome. Circ Res. 2007;101(5):512–22.
Rurali E, Perrucci GL, Gaetano R, Pini A, Moschetta D, Gentilini D, et al. Soluble EMMPRIN levels discriminate aortic ectasia in marfan syndrome patients. Theranostics. 2019;9(8):2224–34.
Marshall LM, Carlson EJ, O’Malley J, Snyder CK, Charbonneau NL, Hayflick SJ, et al. Thoracic aortic aneurysm frequency and dissection are associated with fibrillin-1 fragment concentrations in circulation. Circ Res. 2013;113(10):1159–68.
Fiorillo C, Becatti M, Attanasio M, Lucarini L, Nassi N, Evangelisti L, et al. Evidence for oxidative stress in plasma of patients with Marfan syndrome. Int J Cardiol [Internet]. 2010;145(3):544–6. https://doi.org/10.1016/j.ijcard.2010.04.077.
Radonic T, de Witte P, Groenink M, de Waard V, Lutter R, van Eijk M, et al. Inflammation aggravates disease severity in marfan syndrome patients. PLoS ONE. 2012;7(3):1–9.
Guala A, Teixido-Tura G, Dux-Santoy L, Granato C, Ruiz-Munõz A, Valente F, et al. Decreased rotational flow and circumferential wall shear stress as early markers of descending aorta dilation in Marfan syndrome: A 4D flow CMR study. J Cardiovasc Magn Reson. 2019;21(1):1–11.
Geiger J, Hirtler D, Gottfried K, Rahman O, Bollache E, Barker AJ, et al. Longitudinal evaluation of aortic hemodynamics in Marfan syndrome: new insights from a 4D flow cardiovascular magnetic resonance multi-year follow-up study. J Cardiovasc Magn Reson. 2017;19(1):1–11.
Geiger J, Markl M, Herzer L, Hirtler D, Loeffelbein F, Stiller B, et al. Aortic flow patterns in patients with Marfan syndrome assessed by flow-sensitive four-dimensional MRI. J Magn Reson Imaging. 2012;35(3):594–600.
Leidenberger T, Gordon Y, Farag M, Delles M, Fava Sanches A, Fink MA, et al. Imaging-based 4D aortic pressure mapping in Marfan syndrome patients: a matched case-control study. Ann Thorac Surg [Internet]. 2020;109(5):1434–40. https://doi.org/10.1016/j.athoracsur.2019.08.048.
The authors would like to thank the community of the Hungarian Marfan syndrome patients. We also thank the members of the Hungarian Marfan Foundation for their support.
Project no. NVKP_16-1–2016-0017 (’National Heart Program’) has been implemented with the support provided from the National Research, Development and Innovation Fund of Hungary, financed under the NVKP_16 funding scheme. The research was financed by the Thematic Excellence Programme (2020-4.1.1.-TKP2020) of the Ministry for Innovation and Technology in Hungary, within the framework of the Therapeutic Development and Bioimaging thematic programmes of the Semmelweis University. This review article was supported by the “New National Excellence Program of the Ministry for Innovation and Technology” (ÚNKP-17-3-I-SE-31, ÚNKP-18-3-I-SE-69 and ÚNKP-19-3-I-SE-54; BÁ).
Ethics approval and consent to participate
Consent for publication
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Stengl, R., Ágg, B., Pólos, M. et al. Potential predictors of severe cardiovascular involvement in Marfan syndrome: the emphasized role of genotype–phenotype correlations in improving risk stratification—a literature review. Orphanet J Rare Dis 16, 245 (2021). https://doi.org/10.1186/s13023-021-01882-6
- Marfan syndrome
- Genotype–phenotype correlations
- Prophylactic surgery