Deep Phenotyping of F64L Mutation in a Multicentric Cohort of Patisiran‐Treated Hereditary Transthyretin Amyloidosis Patients (Patisiranitaly).
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| Title: | Deep Phenotyping of F64L Mutation in a Multicentric Cohort of Patisiran‐Treated Hereditary Transthyretin Amyloidosis Patients (Patisiranitaly). |
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| Authors: | Ceccanti, Marco (AUTHOR), Guaraldi, Pietro (AUTHOR), Romano, Angela (AUTHOR), Antonini, Giovanni (AUTHOR), Barilaro, Alessandro (AUTHOR), Briani, Chiara (AUTHOR), Burattini, Marco (AUTHOR), Gianoli, Micol (AUTHOR), Carlini, Giulia (AUTHOR), Cianci, Vittoria (AUTHOR), Dossi, Marco Currò (AUTHOR), Di Lisi, Daniela (AUTHOR), Di Muzio, Antonio (AUTHOR), Ratti, Adele (AUTHOR), Filosto, Massimiliano (AUTHOR), Gasverde, Sabrina (AUTHOR), Gemelli, Chiara (AUTHOR), Gentile, Luca (AUTHOR), Goglia, Mariangela (AUTHOR), Leonardi, Luca (AUTHOR) |
| Source: | European Journal of Neurology. Jun2026, Vol. 33 Issue 6, p1-10. 10p. |
| Subjects: | Genetic mutation, Therapeutics, Longitudinal method, Cohort analysis, Cardiological manifestations of general diseases, Neurologic manifestations of general diseases, Amyloid |
| Geographic Terms: | Italy |
| Abstract: | Background: The F64L variant is among the most frequent TTR mutations in Italy, typically associated with a predominantly neurologic phenotype and limited cardiac involvement. Methods: Data from 181 ATTRv patients in the multicenter Patisiranitaly database treated with Patisiran since 2020 were analyzed. Neurologic impairment scores, Norfolk QoL‐DN, and cardiac parameters were compared between F64L (n = 56), V30M (n = 37), and non‐F64L (n = 125) patients at baseline and during follow‐up. Cluster analysis was applied to identify patient subgroups based on these variables. Results: F64L represented 30.9% of the cohort. Compared to non‐F64L patients, F64L patients had a higher prevalence of neurologic onset and neurologic phenotype, a thinner interventricular septum, and lower NT‐proBNP levels. Cluster analysis segregated patients into two distinct groups, predominantly reflecting F64L vs. non‐F64L status and corresponding neurologic severity. F64L patients showed milder cardiac involvement compared to V30M patients. Longitudinal repeated‐measures ANOVA showed stable clinical and instrumental measures. Conclusions: F64L is characterized by predominant neurologic involvement and milder cardiac involvement in this Patisiran‐treated cohort. Mutation‐specific diagnostic and follow‐up strategies are essential to capture its natural history and treatment response. [ABSTRACT FROM AUTHOR] |
| Copyright of European Journal of Neurology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 194946682 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Deep Phenotyping of F64L Mutation in a Multicentric Cohort of Patisiran‐Treated Hereditary Transthyretin Amyloidosis Patients (Patisiranitaly). – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ceccanti%2C+Marco%22">Ceccanti, Marco</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Guaraldi%2C+Pietro%22">Guaraldi, Pietro</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Romano%2C+Angela%22">Romano, Angela</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Antonini%2C+Giovanni%22">Antonini, Giovanni</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Barilaro%2C+Alessandro%22">Barilaro, Alessandro</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Briani%2C+Chiara%22">Briani, Chiara</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Burattini%2C+Marco%22">Burattini, Marco</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gianoli%2C+Micol%22">Gianoli, Micol</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Carlini%2C+Giulia%22">Carlini, Giulia</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cianci%2C+Vittoria%22">Cianci, Vittoria</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dossi%2C+Marco+Currò%22">Dossi, Marco Currò</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Di+Lisi%2C+Daniela%22">Di Lisi, Daniela</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Di+Muzio%2C+Antonio%22">Di Muzio, Antonio</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ratti%2C+Adele%22">Ratti, Adele</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Filosto%2C+Massimiliano%22">Filosto, Massimiliano</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gasverde%2C+Sabrina%22">Gasverde, Sabrina</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gemelli%2C+Chiara%22">Gemelli, Chiara</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gentile%2C+Luca%22">Gentile, Luca</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Goglia%2C+Mariangela%22">Goglia, Mariangela</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Leonardi%2C+Luca%22">Leonardi, Luca</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22European+Journal+of+Neurology%22">European Journal of Neurology</searchLink>. Jun2026, Vol. 33 Issue 6, p1-10. 10p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Genetic+mutation%22">Genetic mutation</searchLink><br /><searchLink fieldCode="DE" term="%22Therapeutics%22">Therapeutics</searchLink><br /><searchLink fieldCode="DE" term="%22Longitudinal+method%22">Longitudinal method</searchLink><br /><searchLink fieldCode="DE" term="%22Cohort+analysis%22">Cohort analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Cardiological+manifestations+of+general+diseases%22">Cardiological manifestations of general diseases</searchLink><br /><searchLink fieldCode="DE" term="%22Neurologic+manifestations+of+general+diseases%22">Neurologic manifestations of general diseases</searchLink><br /><searchLink fieldCode="DE" term="%22Amyloid%22">Amyloid</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Italy%22">Italy</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Background: The F64L variant is among the most frequent TTR mutations in Italy, typically associated with a predominantly neurologic phenotype and limited cardiac involvement. Methods: Data from 181 ATTRv patients in the multicenter Patisiranitaly database treated with Patisiran since 2020 were analyzed. Neurologic impairment scores, Norfolk QoL‐DN, and cardiac parameters were compared between F64L (n = 56), V30M (n = 37), and non‐F64L (n = 125) patients at baseline and during follow‐up. Cluster analysis was applied to identify patient subgroups based on these variables. Results: F64L represented 30.9% of the cohort. Compared to non‐F64L patients, F64L patients had a higher prevalence of neurologic onset and neurologic phenotype, a thinner interventricular septum, and lower NT‐proBNP levels. Cluster analysis segregated patients into two distinct groups, predominantly reflecting F64L vs. non‐F64L status and corresponding neurologic severity. F64L patients showed milder cardiac involvement compared to V30M patients. Longitudinal repeated‐measures ANOVA showed stable clinical and instrumental measures. Conclusions: F64L is characterized by predominant neurologic involvement and milder cardiac involvement in this Patisiran‐treated cohort. Mutation‐specific diagnostic and follow‐up strategies are essential to capture its natural history and treatment response. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of European Journal of Neurology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/ene.70657 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 1 Subjects: – SubjectFull: Genetic mutation Type: general – SubjectFull: Therapeutics Type: general – SubjectFull: Longitudinal method Type: general – SubjectFull: Cohort analysis Type: general – SubjectFull: Cardiological manifestations of general diseases Type: general – SubjectFull: Neurologic manifestations of general diseases Type: general – SubjectFull: Amyloid Type: general – SubjectFull: Italy Type: general Titles: – TitleFull: Deep Phenotyping of F64L Mutation in a Multicentric Cohort of Patisiran‐Treated Hereditary Transthyretin Amyloidosis Patients (Patisiranitaly). Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ceccanti, Marco – PersonEntity: Name: NameFull: Guaraldi, Pietro – PersonEntity: Name: NameFull: Romano, Angela – PersonEntity: Name: NameFull: Antonini, Giovanni – PersonEntity: Name: NameFull: Barilaro, Alessandro – PersonEntity: Name: NameFull: Briani, Chiara – PersonEntity: Name: NameFull: Burattini, Marco – PersonEntity: Name: NameFull: Gianoli, Micol – PersonEntity: Name: NameFull: Carlini, Giulia – PersonEntity: Name: NameFull: Cianci, Vittoria – PersonEntity: Name: NameFull: Dossi, Marco Currò – PersonEntity: Name: NameFull: Di Lisi, Daniela – PersonEntity: Name: NameFull: Di Muzio, Antonio – PersonEntity: Name: NameFull: Ratti, Adele – PersonEntity: Name: NameFull: Filosto, Massimiliano – PersonEntity: Name: NameFull: Gasverde, Sabrina – PersonEntity: Name: NameFull: Gemelli, Chiara – PersonEntity: Name: NameFull: Gentile, Luca – PersonEntity: Name: NameFull: Goglia, Mariangela – PersonEntity: Name: NameFull: Leonardi, Luca IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 13515101 Numbering: – Type: volume Value: 33 – Type: issue Value: 6 Titles: – TitleFull: European Journal of Neurology Type: main |
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