Implementation strategies of Systems Medicine in clinical research and home care for cardiovascular disease patients

Montecucco, Fabrizio; Carbone, Federico; Dini, Frank Lloyd; Fiúza, Manuela; Pinto, Fausto J.; Martelli, Antonietta; Palombo, Domenico; Sambuceti, Gianmario; Mach, F; Caterina, Raffaele De

doi:10.1016/j.ejim.2014.09.015

Cited by 9 publications

(4 citation statements)

References 95 publications

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“…For patients who had experienced cardiovascular events, the prevention and treatment strategies are not uniform between different regions and hospitals. There are divergences between different area and different grades of hospitals (17), conservative and aggressive strategies are being used, not to mention the circumstances vary among individuals, efficient and effective personalized evaluation and treatment are urged (18). Previous research has revealed that whole-genome sequencing can be used in cardiovascular disease risk-prediction algorithms, to more accurately forecast whether patients will develop Genes with a fold change >1.5 are shown.…”

Section: Discussionmentioning

confidence: 99%

Differential gene expression analysis and network construction of recurrent cardiovascular events

Liao

Chen

et al. 2015

Molecular Medicine Reports

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Recurrent cardiovascular events are vital to the prevention and treatment strategies in patients who have experienced primary cardiovascular events. However, the susceptibility of recurrent cardiovascular events varies among patients. Personalized treatment and prognosis prediction are urged. Microarray profiling of samples from patients with acute myocardial infarction (AMI), with or without recurrent cardiovascular events, were obtained from the Gene Expression Omnibus database. Bioinformatics analysis, including Gene Oncology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG), were used to identify genes and pathways specifically associated with recurrent cardiovascular events. A protein-protein interaction (PPI) network was constructed and visualized. A total of 1,329 genes were differentially expressed in the two group samples. Among them, 1,023 differentially expressed genes (DEGs; 76.98%) were upregulated in the recurrent cardiovascular events group and 306 DEGs (23.02%) were downregulated. Significantly enriched GO terms for molecular functions were nucleotide binding and nucleic acid binding, for biological processes were signal transduction and regulation of transcription (DNA-dependent), and for cellular component were cytoplasm and nucleus. The most significant pathway in our KEGG analysis was Pathways in cancer (P=0.000336681), and regulation of actin cytoskeleton was also significantly enriched (P=0.00165229). In the PPI network, the significant hub nodes were GNG4, MAPK8, PIK3R2, EP300, CREB1 and PIK3CB. The present study demonstrated the underlying molecular differences between patients with AMI, with and without recurrent cardiovascular events, including DEGs, their biological function, signaling pathways and key genes in the PPI network. With the use of bioinformatics and genomics these findings can be used to investigate the pathological mechanism, and improve the prevention and treatment of recurrent cardiovascular events.

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Section: Discussionmentioning

confidence: 99%

Differential gene expression analysis and network construction of recurrent cardiovascular events

Liao

Chen

et al. 2015

Molecular Medicine Reports

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“…In particular, semantic expansion strategies were underutilised, and their ability to take advantage of freely accessible vocabulary and semantic resources is mostly ignored. The expansion of healthcare knowledge with health records collected from different channels, such as hospital admissions, family physician visits, prescription drugs, pharmacy requests, laboratory blood analyses, and death certificates establishes a comprehensive individual health (or disease) profile [ 155 ]. This holistic view carries enormous implications for several research areas, such as epidemiology and precision medicine.…”

Section: Findings Open Issues and Opportunitiesmentioning

confidence: 99%

Healthcare knowledge graph construction: A systematic review of the state-of-the-art, open issues, and opportunities

et al. 2023

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The incorporation of data analytics in the healthcare industry has made significant progress, driven by the demand for efficient and effective big data analytics solutions. Knowledge graphs (KGs) have proven utility in this arena and are rooted in a number of healthcare applications to furnish better data representation and knowledge inference. However, in conjunction with a lack of a representative KG construction taxonomy, several existing approaches in this designated domain are inadequate and inferior. This paper is the first to provide a comprehensive taxonomy and a bird’s eye view of healthcare KG construction. Additionally, a thorough examination of the current state-of-the-art techniques drawn from academic works relevant to various healthcare contexts is carried out. These techniques are critically evaluated in terms of methods used for knowledge extraction, types of the knowledge base and sources, and the incorporated evaluation protocols. Finally, several research findings and existing issues in the literature are reported and discussed, opening horizons for future research in this vibrant area.

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“…Academic Medical Centers are ideally positioned to establish and manage biobanks due to their ability to provide access to human subjects, biological specimens, and clinical data. Furthermore, biobanking activities align with their mission of education, research, and patient care [1].…”

Section: Introductionmentioning

confidence: 99%

The Genoa Vascular Biobank: A Today Resource for Future Perspectives in Vascular Research

Barisione,

Mena Vera,

Ivaldo

et al. 2024

Preprint

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Implementation strategies of Systems Medicine in clinical research and home care for cardiovascular disease patients

Cited by 9 publications

References 95 publications

Differential gene expression analysis and network construction of recurrent cardiovascular events

Differential gene expression analysis and network construction of recurrent cardiovascular events

Healthcare knowledge graph construction: A systematic review of the state-of-the-art, open issues, and opportunities

The Genoa Vascular Biobank: A Today Resource for Future Perspectives in Vascular Research

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