Cargando…

Potential predictors of severe cardiovascular involvement in Marfan syndrome: the emphasized role of genotype–phenotype correlations in improving risk stratification—a literature review

BACKGROUND: 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...

Descripción completa

Detalles Bibliográficos
Autores principales: Stengl, Roland, Ágg, Bence, Pólos, Miklós, Mátyás, Gábor, Szabó, Gábor, Merkely, Béla, Radovits, Tamás, Szabolcs, Zoltán, Benke, Kálmán
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8165977/
https://www.ncbi.nlm.nih.gov/pubmed/34059089
http://dx.doi.org/10.1186/s13023-021-01882-6
_version_ 1783701422320123904
author Stengl, Roland
Ágg, Bence
Pólos, Miklós
Mátyás, Gábor
Szabó, Gábor
Merkely, Béla
Radovits, Tamás
Szabolcs, Zoltán
Benke, Kálmán
author_facet Stengl, Roland
Ágg, Bence
Pólos, Miklós
Mátyás, Gábor
Szabó, Gábor
Merkely, Béla
Radovits, Tamás
Szabolcs, Zoltán
Benke, Kálmán
author_sort Stengl, Roland
collection PubMed
description BACKGROUND: 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. MAIN BODY: 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. CONCLUSIONS: 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.
format Online
Article
Text
id pubmed-8165977
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-81659772021-06-02 Potential predictors of severe cardiovascular involvement in Marfan syndrome: the emphasized role of genotype–phenotype correlations in improving risk stratification—a literature review Stengl, Roland Ágg, Bence Pólos, Miklós Mátyás, Gábor Szabó, Gábor Merkely, Béla Radovits, Tamás Szabolcs, Zoltán Benke, Kálmán Orphanet J Rare Dis Review BACKGROUND: 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. MAIN BODY: 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. CONCLUSIONS: 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. BioMed Central 2021-05-31 /pmc/articles/PMC8165977/ /pubmed/34059089 http://dx.doi.org/10.1186/s13023-021-01882-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Review
Stengl, Roland
Ágg, Bence
Pólos, Miklós
Mátyás, Gábor
Szabó, Gábor
Merkely, Béla
Radovits, Tamás
Szabolcs, Zoltán
Benke, Kálmán
Potential predictors of severe cardiovascular involvement in Marfan syndrome: the emphasized role of genotype–phenotype correlations in improving risk stratification—a literature review
title Potential predictors of severe cardiovascular involvement in Marfan syndrome: the emphasized role of genotype–phenotype correlations in improving risk stratification—a literature review
title_full Potential predictors of severe cardiovascular involvement in Marfan syndrome: the emphasized role of genotype–phenotype correlations in improving risk stratification—a literature review
title_fullStr Potential predictors of severe cardiovascular involvement in Marfan syndrome: the emphasized role of genotype–phenotype correlations in improving risk stratification—a literature review
title_full_unstemmed Potential predictors of severe cardiovascular involvement in Marfan syndrome: the emphasized role of genotype–phenotype correlations in improving risk stratification—a literature review
title_short Potential predictors of severe cardiovascular involvement in Marfan syndrome: the emphasized role of genotype–phenotype correlations in improving risk stratification—a literature review
title_sort potential predictors of severe cardiovascular involvement in marfan syndrome: the emphasized role of genotype–phenotype correlations in improving risk stratification—a literature review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8165977/
https://www.ncbi.nlm.nih.gov/pubmed/34059089
http://dx.doi.org/10.1186/s13023-021-01882-6
work_keys_str_mv AT stenglroland potentialpredictorsofseverecardiovascularinvolvementinmarfansyndrometheemphasizedroleofgenotypephenotypecorrelationsinimprovingriskstratificationaliteraturereview
AT aggbence potentialpredictorsofseverecardiovascularinvolvementinmarfansyndrometheemphasizedroleofgenotypephenotypecorrelationsinimprovingriskstratificationaliteraturereview
AT polosmiklos potentialpredictorsofseverecardiovascularinvolvementinmarfansyndrometheemphasizedroleofgenotypephenotypecorrelationsinimprovingriskstratificationaliteraturereview
AT matyasgabor potentialpredictorsofseverecardiovascularinvolvementinmarfansyndrometheemphasizedroleofgenotypephenotypecorrelationsinimprovingriskstratificationaliteraturereview
AT szabogabor potentialpredictorsofseverecardiovascularinvolvementinmarfansyndrometheemphasizedroleofgenotypephenotypecorrelationsinimprovingriskstratificationaliteraturereview
AT merkelybela potentialpredictorsofseverecardiovascularinvolvementinmarfansyndrometheemphasizedroleofgenotypephenotypecorrelationsinimprovingriskstratificationaliteraturereview
AT radovitstamas potentialpredictorsofseverecardiovascularinvolvementinmarfansyndrometheemphasizedroleofgenotypephenotypecorrelationsinimprovingriskstratificationaliteraturereview
AT szabolcszoltan potentialpredictorsofseverecardiovascularinvolvementinmarfansyndrometheemphasizedroleofgenotypephenotypecorrelationsinimprovingriskstratificationaliteraturereview
AT benkekalman potentialpredictorsofseverecardiovascularinvolvementinmarfansyndrometheemphasizedroleofgenotypephenotypecorrelationsinimprovingriskstratificationaliteraturereview