Nathasha Samali Udugampolage

Dr. Nathasha Samali Udugampolage

orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

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

Representative Publications

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5 July 2023 in Diagnostics
Verified
Journal Article
Open access
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SMSusan Marelli
Susan Marelli
Emanuele MicaglioEmanuele Micaglio
Emanuele Micaglio
JTJacopo Taurino
Jacopo Taurino
PSPaolo Salvi
Paolo Salvi
ERErica Rurali
Erica Rurali
APAlessandro Pini
Alessandro Pini
Marfan syndrome (MFS) is a rare inherited autosomic disorder, which encompasses a variety of systemic manifestations caused by mutations in the Fibrillin-1 encoding gene (FBN1). Cardinal clinical phenotypes of MFS are highly variable in terms of severity, and commonly involve cardiovascular, ocular, and musculoskeletal systems with a wide range of manifestations, such as ascending aorta aneurysms and dissection, mitral valve prolapse, ectopia lentis and long bone overgrowth, respectively. Of note, an accurate and prompt diagnosis is pivotal in order to provide the best treatment to the patients as early as possible. To date, the diagnosis of the syndrome has relied upon a systemic score calculation as well as DNA mutation identification. The aim of this review is to summarize the latest MFS evidence regarding the definition, differences and similarities with other connective tissue pathologies with severe systemic phenotypes (e.g., Autosomal dominant Weill–Marchesani syndrome, Loeys–Dietz syndrome, Ehlers–Danlos syndrome) and clinical assessment. In this regard, the management of MFS requires a multidisciplinary team in order to accurately control the evolution of the most severe and potentially life-threatening complications. Based on recent findings in the literature and our clinical experience, we propose a multidisciplinary approach involving specialists in different clinical fields (i.e., cardiologists, surgeons, ophthalmologists, orthopedics, pneumologists, neurologists, endocrinologists, geneticists, and psychologists) to comprehensively characterize, treat, and manage MFS patients with a personalized medicine approach.

Verified
Journal Article
Open access
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NUNathasha Samali Udugampolage
Nathasha Samali Udugampolage
SFSvetlana Frolova
Svetlana Frolova
JTJacopo Taurino
Jacopo Taurino
APAlessandro Pini
Alessandro Pini
Fabio MartelliFabio Martelli
Fabio Martelli
CVChristine Voellenkle
Christine Voellenkle
Marfan syndrome (MFS) is a rare congenital disorder of the connective tissue, leading to thoracic aortic aneurysms (TAA) and dissection, among other complications. Currently, the most efficient strategy to prevent life-threatening dissection is preventive surgery. Periodic imaging applying complex techniques is required to monitor TAA progression and to guide the timing of surgical intervention. Thus, there is an acute demand for non-invasive biomarkers for diagnosis and prognosis, as well as for innovative therapeutic targets of MFS. Unraveling the intricate pathomolecular mechanisms underlying the syndrome is vital to address these needs. High-throughput platforms are particularly well-suited for this purpose, as they enable the integration of different datasets, such as transcriptomic and epigenetic profiles. In this narrative review, we summarize relevant studies investigating changes in both the coding and non-coding transcriptome and epigenome in MFS-induced TAA. The collective findings highlight the implicated pathways, such as TGF-β signaling, extracellular matrix structure, inflammation, and mitochondrial dysfunction. Potential candidates as biomarkers, such as miR-200c, as well as therapeutic targets emerged, like Tfam, associated with mitochondrial respiration, or miR-632, stimulating endothelial-to-mesenchymal transition. While these discoveries are promising, rigorous and extensive validation in large patient cohorts is indispensable to confirm their clinical relevance and therapeutic potential.

29 July 2021
Verified
Journal Article
Open access
FDFederica Dellafiore
Federica Dellafiore
BBBarbara Bascapè
Barbara Bascapè
Rosario CarusoRosario Caruso
Rosario Caruso
GCGianluca Conte
Gianluca Conte
NUNathasha Samali Udugampolage
Nathasha Samali Udugampolage
CACristina Arrigoni
Cristina Arrigoni
Dysgeusia is an altered or damaged tasting perception of a multifactorial etiology, from polypharmacy, infections to chemotherapy and radiotherapy. Approximately 5% of the population suffer from a diminished taste sensation, which unfortunately remains underestimated by the affected person, creating the conditions for a dramatic underestimation of the incidence of the symptom. The aim of this study is to summarize the evidences present in literature on the relations between Dysgeusia and alterations of the nutritional status. An integrative review with metanarrative analysis of the literature was carried out in August 2020. PubMed, Scopus, Embase and CINAHL databases were examined with keywords and methodological strings. PRISMA flow-chart along with a qualitative evaluation grid (JBI-QARI) were applied in the selection of the studies with a time limitation to the last ten years. 10 articles resulted from the literature review were includes and were divided into two macro-categories. The first, concerned 8 articles, reported dysgeusia linked to weight loss. The second, concerned 2 studies relating to dysgeusia in patients with altered nutritional status associated with body weight gain. This review represents an initial contribution to summarize the best evidence and knowledge in relation to dysgeusia, with the aim of enabling the identification and treatment of this symptom and facilitating targeted educational interventions. (www.actabiomedica.it)

26 March 2023 in Vaccines
Verified
Journal Article
Open access
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NUNathasha Samali Udugampolage
Nathasha Samali Udugampolage
APAlessandro Pini
Alessandro Pini
AMArianna Magon
Arianna Magon
GCGianluca Conte
Gianluca Conte
ECEdward Callus
Edward Callus
Rosario CarusoRosario Caruso
Rosario Caruso
Although vaccine hesitancy has been reported in many patient groups and countries, there is a lack of data on vaccine hesitancy in patients with Marfan syndrome (MFS). MFS is a rare genetic disorder that can lead to cardiovascular, ocular, and musculoskeletal issues. Because MFS patients may face an increased risk of COVID-19 complications, vaccination is crucial for this population. This brief report aims to describe vaccine hesitancy rates in MFS patients and compare the characteristics of patients who are hesitant and those who are not to gain a better understanding of this specific population. This study analyzes previously published cross-sectional data that examined mental health, sociodemographic, and clinical factors associated with PTSD, depression, anxiety, and insomnia in MFS patients during the third wave of the COVID-19 pandemic in Lombardy, Italy. Of the 112 MFS patients who participated, 26 (23.9%) reported vaccine hesitancy. Vaccine hesitancy may be associated mainly with younger age and not be related to other patient characteristics. Therefore, this report found no differences in individual-level variables, such as sex, education, comorbidities, and mental health symptoms, between those who were hesitant and those who were not. The study findings are insightful and suggest that interventions to address vaccine hesitancy in this population may need to focus on attitudes and beliefs related to vaccination rather than targeting specific sociodemographic or clinical factors.

16 August 2025 in Journal of Clinical Medicine
Verified
Journal Article
Open access
PDF file
NUNathasha Samali Udugampolage
Nathasha Samali Udugampolage
JTJacopo Taurino
Jacopo Taurino
APAlessandro Pini
Alessandro Pini
ECEdward Callus
Edward Callus
AMArianna Magon
Arianna Magon
Rosario CarusoRosario Caruso
Rosario Caruso
Background/Objectives: Fatigue is a highly prevalent and burdensome symptom among individuals with Marfan syndrome (MFS), yet its heterogeneity and underlying psychosocial and clinical correlates remain underexplored. This study aimed to identify and characterize distinct fatigue-related profiles in MFS patients using a data-driven cluster analysis approach. Methods: A cross-sectional study was conducted involving 127 patients with MFS from a specialized connective tissue disorder center in Italy. Participants completed self-reported measures of fatigue severity (Fatigue Severity Scale, FSS), depressive symptoms (Patient Health Questionnaire-9, PHQ-9), and insomnia (Insomnia Severity Index, ISI). The body mass index (BMI) and clinical data were also collected. A t-distributed stochastic neighbor embedding (t-SNE) analysis was performed to reduce dimensionality, followed by hierarchical clustering (Ward’s method), exploring solutions from k = 2 to k = 10. The optimal cluster solution was identified based on silhouette scores and clinical interpretability. Results: Three distinct clusters emerged: (1) a cluster characterized by low fatigue with minimal psychological and sleep-related symptoms (younger patients, lower PHQ-9 and ISI scores), (2) a cluster characterized by moderate fatigue with moderate psychological and sleep-related symptoms (intermediate age, moderate PHQ-9 and ISI scores), and (3) a cluster characterized by high fatigue with elevated psychological and sleep-related symptoms (older patients, higher PHQ-9, ISI, and FSS scores). Significant differences were observed across clusters in age, BMI, depressive symptoms, insomnia severity, and fatigue levels (all p < 0.05). Conclusions: Our findings highlight the heterogeneity of fatigue experiences in MFS and suggest the importance of profiling patients to guide personalized interventions. This approach may inform precision medicine strategies and enhance the quality of life for individuals with this rare disease.

10 March 2025 in Diagnostics
Verified
Journal Article
Open access
PDF file
DTDomenico Tuttolomondo
Domenico Tuttolomondo
FSFrancesco Secchi
Francesco Secchi
NGNicola Gaibazzi
Nicola Gaibazzi
NUNathasha Samali Udugampolage
Nathasha Samali Udugampolage
APAlessandro Pini
Alessandro Pini
JTJacopo Taurino
Jacopo Taurino
Background: Marfan syndrome (MFS) is a rare autosomal dominant disorder affecting connective tissues due to mutations in the fibrillin-1 gene. These genetic changes often result in severe cardiovascular conditions, including asymptomatic thoracic aortic dilation potentially leading to dissection or rupture. Perivascular adipose tissue attenuation (PVAT) observed on computed tomography may serve as a marker of localized inflammation and indicate early histopathological changes in the vascular walls of MFS patients compared to healthy individuals. Objective: This study aimed to compare PVAT values between patients with MFS and healthy controls in order to explore whether MFS patients show higher PVAT secondary to these histopathological abnormalities. Methods: This case–control study assessed PVAT on ascending aorta through computed tomography angiography (CTA) in 54 genetically confirmed MFS patients and 43 controls with low ischemic risk, excluding those with known aortic aneurysms. Results: PVAT analysis revealed significant differences between the MFS patients and healthy controls (−70.6 HU [−72.6 HU to −68.5 HU] versus −75.1 HU [−77.1 HU to −73.1 HU], p = 0.002), suggesting potential early vascular changes in the MFS group. Conclusions: The findings underscore the potential diagnostic role of PVAT in patients with genetically confirmed MFS but normal ascending aorta diameter.