Networks as Biomarkers: Uses and Purposes
Networks-based approaches are often used to analyze gene expression data or protein–protein interactions but are not usually applied to study the relationships between different biomarkers. Given the clinical need for more comprehensive and integrative biomarkers that can help to identify personaliz...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Genes |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4425/14/2/429 |
| _version_ | 1797620817016651776 |
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| author | Caterina Alfano Lorenzo Farina Manuela Petti |
| author_facet | Caterina Alfano Lorenzo Farina Manuela Petti |
| author_sort | Caterina Alfano |
| collection | DOAJ |
| description | Networks-based approaches are often used to analyze gene expression data or protein–protein interactions but are not usually applied to study the relationships between different biomarkers. Given the clinical need for more comprehensive and integrative biomarkers that can help to identify personalized therapies, the integration of biomarkers of different natures is an emerging trend in the literature. Network analysis can be used to analyze the relationships between different features of a disease; nodes can be disease-related phenotypes, gene expression, mutational events, protein quantification, imaging-derived features and more. Since different biomarkers can exert causal effects between them, describing such interrelationships can be used to better understand the underlying mechanisms of complex diseases. Networks as biomarkers are not yet commonly used, despite being proven to lead to interesting results. Here, we discuss in which ways they have been used to provide novel insights into disease susceptibility, disease development and severity. |
| first_indexed | 2024-03-11T08:47:01Z |
| format | Article |
| id | doaj.art-81f560bca94547d2b196671a9d9a906f |
| institution | Directory Open Access Journal |
| issn | 2073-4425 |
| language | English |
| last_indexed | 2024-03-11T08:47:01Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Genes |
| spelling | doaj.art-81f560bca94547d2b196671a9d9a906f2023-11-16T20:42:51ZengMDPI AGGenes2073-44252023-02-0114242910.3390/genes14020429Networks as Biomarkers: Uses and PurposesCaterina Alfano0Lorenzo Farina1Manuela Petti2Department of Experimental Medicine, Sapienza University of Rome, Viale Regina Elena, 324, 00161 Rome, ItalyDepartment of Computer, Control and Management Engineering, Sapienza University of Rome, Via Ariosto, 25, 00185 Rome, ItalyDepartment of Computer, Control and Management Engineering, Sapienza University of Rome, Via Ariosto, 25, 00185 Rome, ItalyNetworks-based approaches are often used to analyze gene expression data or protein–protein interactions but are not usually applied to study the relationships between different biomarkers. Given the clinical need for more comprehensive and integrative biomarkers that can help to identify personalized therapies, the integration of biomarkers of different natures is an emerging trend in the literature. Network analysis can be used to analyze the relationships between different features of a disease; nodes can be disease-related phenotypes, gene expression, mutational events, protein quantification, imaging-derived features and more. Since different biomarkers can exert causal effects between them, describing such interrelationships can be used to better understand the underlying mechanisms of complex diseases. Networks as biomarkers are not yet commonly used, despite being proven to lead to interesting results. Here, we discuss in which ways they have been used to provide novel insights into disease susceptibility, disease development and severity.https://www.mdpi.com/2073-4425/14/2/429integrative biomarkernetwork analysisprecision medicinebiomarkers’ connectivity |
| spellingShingle | Caterina Alfano Lorenzo Farina Manuela Petti Networks as Biomarkers: Uses and Purposes Genes integrative biomarker network analysis precision medicine biomarkers’ connectivity |
| title | Networks as Biomarkers: Uses and Purposes |
| title_full | Networks as Biomarkers: Uses and Purposes |
| title_fullStr | Networks as Biomarkers: Uses and Purposes |
| title_full_unstemmed | Networks as Biomarkers: Uses and Purposes |
| title_short | Networks as Biomarkers: Uses and Purposes |
| title_sort | networks as biomarkers uses and purposes |
| topic | integrative biomarker network analysis precision medicine biomarkers’ connectivity |
| url | https://www.mdpi.com/2073-4425/14/2/429 |
| work_keys_str_mv | AT caterinaalfano networksasbiomarkersusesandpurposes AT lorenzofarina networksasbiomarkersusesandpurposes AT manuelapetti networksasbiomarkersusesandpurposes |