Maria Laura Giantomassi

Dr. Maria Laura Giantomassi


Research Focus & Metrics

Academic Career Length

1Year (2026-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 July 2026 in Preprints.org
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VOValerio Onofri
Valerio Onofri
MGMaria Laura Giantomassi
Maria Laura Giantomassi
AMAlessia Bernini Di Michele
Alessia Bernini Di Michele
LFLucia Fiordelmondo
Lucia Fiordelmondo
ECEleonora Ciarimboli
Eleonora Ciarimboli
MPmauro pesaresi
mauro pesaresi
Background: Left ventricular noncompaction (LVNC) is a myocardial abnormality char-acterized by prominent trabeculations, a thin compacted layer, and deep intertrabecular recesses. LVNC is a heterogeneous myocardial disorder of uncertain etiology, which may occur as a congenital or acquired condition or develop in association with other cardio-myopathies. Genetic factors have also been implicated in its pathogenesis. Objectives: The aim of this study was to investigate the genetic background of patients with LVNC through next-generation sequencing (NGS) analysis and to identify potentially dis-ease-associated variants. Methods: Twenty-five patients with LVNC underwent genetic testing by NGS using the Ion Torrent™ platform. Variants identified by NGS were con-firmed by Sanger sequencing. The interpretation was performed according to ACMG guidelines using multiple bioinformatic and clinical databases. Results: Genetic variants were identified in 13 patients, with 14 variants detected in 9 genes (TTN, MYH7, CTNNA3, DSG2, FLNC, JPH2, NKX2-6, TNNC1, and JUP). Eight variants (57%) were nov-el, four (29%) had been previously reported in clinical cases without scientific discussion, and two (14%) were already described in the literature. According to ACMG criteria, vari-ants were classified as pathogenic (n=1), likely pathogenic (n=7), or variants of uncertain significance (n=5). Conclusions: These findings highlight the marked genetic heterogenei-ty of LVNC and support the role of genetic testing in improving diagnosis, risk stratifica-tion and clinical management.