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A deep phenotyping experience: up to date in management and diagnosis of Malan syndrome in a single center surveillance report
BACKGROUND: Malan syndrome (MALNS) is a recently described ultrarare syndrome lacking guidelines for diagnosis, management and monitoring of evolutive complications. Less than 90 patients are reported in the literature and limited clinical information are available to assure a proper health surveill...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206304/ https://www.ncbi.nlm.nih.gov/pubmed/35717370 http://dx.doi.org/10.1186/s13023-022-02384-9 |
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author | Macchiaiolo, Marina Panfili, Filippo M. Vecchio, Davide Gonfiantini, Michaela V. Cortellessa, Fabiana Caciolo, Cristina Zollino, Marcella Accadia, Maria Seri, Marco Chinali , Marcello Mammì, Corrado Tartaglia, Marco Bartuli, Andrea Alfieri, Paolo Priolo, Manuela |
author_facet | Macchiaiolo, Marina Panfili, Filippo M. Vecchio, Davide Gonfiantini, Michaela V. Cortellessa, Fabiana Caciolo, Cristina Zollino, Marcella Accadia, Maria Seri, Marco Chinali , Marcello Mammì, Corrado Tartaglia, Marco Bartuli, Andrea Alfieri, Paolo Priolo, Manuela |
author_sort | Macchiaiolo, Marina |
collection | PubMed |
description | BACKGROUND: Malan syndrome (MALNS) is a recently described ultrarare syndrome lacking guidelines for diagnosis, management and monitoring of evolutive complications. Less than 90 patients are reported in the literature and limited clinical information are available to assure a proper health surveillance. RESULTS: A multidisciplinary team with high expertise in MALNS has been launched at the “Ospedale Pediatrico Bambino Gesù”, Rome, Italy. Sixteen Italian MALNS individuals with molecular confirmed clinical diagnosis of MALNS were enrolled in the program. For all patients, 1-year surveillance in a dedicated outpatient Clinic was attained. The expert panel group enrolled 16 patients and performed a deep phenotyping analysis directed to clinically profiling the disorder and performing critical revision of previously reported individuals. Some evolutive complications were also assessed. Previously unappreciated features (e.g., high risk of bone fractures in childhood, neurological/neurovegetative symptoms, noise sensitivity and Chiari malformation type 1) requiring active surveillance were identified. A second case of neoplasm was recorded. No major cardiovascular anomalies were noticed. An accurate clinical description of 9 new MALNS cases was provided. CONCLUSIONS: Deep phenotyping has provided a more accurate characterization of the main clinical features of MALNS and allows broadening the spectrum of disease. A minimal dataset of clinical evaluations and follow-up timeline has been proposed for proper management of patients affected by this ultrarare disorder. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13023-022-02384-9. |
format | Online Article Text |
id | pubmed-9206304 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-92063042022-06-19 A deep phenotyping experience: up to date in management and diagnosis of Malan syndrome in a single center surveillance report Macchiaiolo, Marina Panfili, Filippo M. Vecchio, Davide Gonfiantini, Michaela V. Cortellessa, Fabiana Caciolo, Cristina Zollino, Marcella Accadia, Maria Seri, Marco Chinali , Marcello Mammì, Corrado Tartaglia, Marco Bartuli, Andrea Alfieri, Paolo Priolo, Manuela Orphanet J Rare Dis Research BACKGROUND: Malan syndrome (MALNS) is a recently described ultrarare syndrome lacking guidelines for diagnosis, management and monitoring of evolutive complications. Less than 90 patients are reported in the literature and limited clinical information are available to assure a proper health surveillance. RESULTS: A multidisciplinary team with high expertise in MALNS has been launched at the “Ospedale Pediatrico Bambino Gesù”, Rome, Italy. Sixteen Italian MALNS individuals with molecular confirmed clinical diagnosis of MALNS were enrolled in the program. For all patients, 1-year surveillance in a dedicated outpatient Clinic was attained. The expert panel group enrolled 16 patients and performed a deep phenotyping analysis directed to clinically profiling the disorder and performing critical revision of previously reported individuals. Some evolutive complications were also assessed. Previously unappreciated features (e.g., high risk of bone fractures in childhood, neurological/neurovegetative symptoms, noise sensitivity and Chiari malformation type 1) requiring active surveillance were identified. A second case of neoplasm was recorded. No major cardiovascular anomalies were noticed. An accurate clinical description of 9 new MALNS cases was provided. CONCLUSIONS: Deep phenotyping has provided a more accurate characterization of the main clinical features of MALNS and allows broadening the spectrum of disease. A minimal dataset of clinical evaluations and follow-up timeline has been proposed for proper management of patients affected by this ultrarare disorder. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13023-022-02384-9. BioMed Central 2022-06-18 /pmc/articles/PMC9206304/ /pubmed/35717370 http://dx.doi.org/10.1186/s13023-022-02384-9 Text en © The Author(s) 2022 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 | Research Macchiaiolo, Marina Panfili, Filippo M. Vecchio, Davide Gonfiantini, Michaela V. Cortellessa, Fabiana Caciolo, Cristina Zollino, Marcella Accadia, Maria Seri, Marco Chinali , Marcello Mammì, Corrado Tartaglia, Marco Bartuli, Andrea Alfieri, Paolo Priolo, Manuela A deep phenotyping experience: up to date in management and diagnosis of Malan syndrome in a single center surveillance report |
title | A deep phenotyping experience: up to date in management and diagnosis of Malan syndrome in a single center surveillance report |
title_full | A deep phenotyping experience: up to date in management and diagnosis of Malan syndrome in a single center surveillance report |
title_fullStr | A deep phenotyping experience: up to date in management and diagnosis of Malan syndrome in a single center surveillance report |
title_full_unstemmed | A deep phenotyping experience: up to date in management and diagnosis of Malan syndrome in a single center surveillance report |
title_short | A deep phenotyping experience: up to date in management and diagnosis of Malan syndrome in a single center surveillance report |
title_sort | deep phenotyping experience: up to date in management and diagnosis of malan syndrome in a single center surveillance report |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206304/ https://www.ncbi.nlm.nih.gov/pubmed/35717370 http://dx.doi.org/10.1186/s13023-022-02384-9 |
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