A new computational workflow to guide personalized drug therapy

Pernice, Simone; Maglione, Alessandro; Tortarolo, Dora; Sirovich, Roberta; Clerico, Marinella; Rolla, Simona; Beccuti, Marco; Cordero, Francesca

doi:10.1016/j.jbi.2023.104546

Cited by 3 publications

(2 citation statements)

References 31 publications

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“…It should be noted that due to the complicated nature of MS disease, novel personalized diagnosis and management approaches can more effectively help patients and clinicians plan future treatments. In this aspect, novel computational models are at the forefront of the pursuit of personalized medicine due to their promising descriptive and predictive abilities [82,83]. Notably, in the presence of complex and heterogeneous data, as happened in MS disease, patient stratification is a strong prerequisite for effective personalized medicine, as disease development is frequently driven by individual variability and unpredictable environmental events [82,83].…”

Section: Multivariate Analysis Of MD Compliance By Adjusting For Pote...mentioning

confidence: 99%

“…In this aspect, novel computational models are at the forefront of the pursuit of personalized medicine due to their promising descriptive and predictive abilities [82,83]. Notably, in the presence of complex and heterogeneous data, as happened in MS disease, patient stratification is a strong prerequisite for effective personalized medicine, as disease development is frequently driven by individual variability and unpredictable environmental events [82,83]. Thus, the use of personalized medicine to develop novel therapeutic strategies tailored to the individual patients' characteristics and the specific disease activity features, as well as to the patients' needs and preferences, may bring about novel challenges and perspectives [59,82,83].…”

Section: Multivariate Analysis Of MD Compliance By Adjusting For Pote...mentioning

confidence: 99%

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Associations between Mediterranean Diet Adherence, Quality of Life, and Mental Health in Patients with Multiple Sclerosis: A Cross-Sectional Study

Dakanalis,

Tryfonos,

Pavlidou

et al. 2024

JPM

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Background: The Mediterranean diet (MD) is well-known as a diet which may exert a protective effect against neurodegenerative diseases, including multiple sclerosis (MS). To date, only a few clinical surveys have assessed the potential effects of the MD in patients with MS. The purpose of the present study is to evaluate the potential effects of MD compliance on disease disability, quality of life, physical activity, depressive symptomatology, and blood biochemical parameters related to nutritional status in MS patients, considering several socio-demographic, anthropometric, and lifestyle characteristics. Methods: This is a cross-sectional study conducted on 558 adults with MS aged 18–64 years. Relevant questionnaires were utilized to evaluate socio-demographic and anthropometric parameters, disease disability (Expanded Disability Status Scale, EDSS), multidimensional health-related quality (MS Quality of Life-54, MSQOL-54), physical activity levels (International Physical Activity Questionnaire, IPAQ), depression (Beck Depression Inventory II, BDI-II), and MD adherence (MedDietScore), while several blood biochemical parameters were retrieved from the patients’ medical records. Results: Enhanced MD compliance was independently associated with a decreased frequency of overweight/obesity, as well as abdominal obesity, in patients suffering from MS. Elevated MD compliance was also independently associated with a decreased incidence of advanced disease disability, a higher prevalence of elevated physical activity, an improved quality of life, and lower depressive symptoms, as well as higher levels of certain blood biochemical parameters, which are effective indicators of iron deficiency and malnutrition. Conclusions: The present study found that higher MD adherence may slow down disease disability, promoting a better quality of life and mental health in adults with MS. Future prospective surveys are required to obtain conclusive results.

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Section: Multivariate Analysis Of MD Compliance By Adjusting For Pote...mentioning

confidence: 99%

Section: Multivariate Analysis Of MD Compliance By Adjusting For Pote...mentioning

confidence: 99%

Associations between Mediterranean Diet Adherence, Quality of Life, and Mental Health in Patients with Multiple Sclerosis: A Cross-Sectional Study

Dakanalis,

Tryfonos,

Pavlidou

et al. 2024

JPM

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From translational bioinformatics computational methodologies to personalized medicine

Di Camillo,

Giugno

2024

Journal of Biomedical Informatics

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UnifiedGreatMod: A New Holistic Modeling Paradigm for Studying Biological Systems on a Complete and Harmonious Scale

Aucello,

Pernice,

Tortarolo

et al. 2024

Preprint

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Motivation: Computational models are crucial for addressing critical questions about systems evolution and deciphering system connections. The pivotal feature of making this concept recognisable from the biological and clinical community is the possibility of quickly inspecting the whole system, bearing in mind the different granularity levels of its components. This holistic view of system behaviour expands the evolution study by identifying the heterogeneous behaviours applicable, for example, to the cancer evolution study. Results: To address this aspect, we propose a new modelling paradigm, UnifiedGreatMod, which allows modellers to integrate fine-grained and coarse-grained biological information into a unique model. It allows for functional studies, in which the understanding of the system's multi-level stable condition and the system's fluctuating condition are combined to investigate the functional dependencies among the biological entities in the system under study. This is achieved thanks to the hybridisation of two analysis approaches that capture a system's different granularity levels. The proposed paradigm was then implemented into the open-source, general modelling framework GreatMod, in which a graphical meta-formalism is exploited to simplify the model creation phase and R languages to define user-defined analysis workflows. The proposal's effectiveness was demonstrated by mechanistically simulating the metabolic output of Echerichia coli under environmental nutrient perturbations and integrating a gene expression dataset. Additionally, the UnifiedGreatMod was used to examine the responses of luminal epithelial cells to Clostridium difficile infection.

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A new computational workflow to guide personalized drug therapy

Cited by 3 publications

References 31 publications

Associations between Mediterranean Diet Adherence, Quality of Life, and Mental Health in Patients with Multiple Sclerosis: A Cross-Sectional Study

Associations between Mediterranean Diet Adherence, Quality of Life, and Mental Health in Patients with Multiple Sclerosis: A Cross-Sectional Study

From translational bioinformatics computational methodologies to personalized medicine

UnifiedGreatMod: A New Holistic Modeling Paradigm for Studying Biological Systems on a Complete and Harmonious Scale

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