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Pathway Maps of Orphan and Complex Diseases Using an Integrative Computational Approach
Orphan diseases (ODs) are progressive genetic disorders, which affect a small number of people. The principal fundamental aspects related to these diseases include insufficient knowledge of mechanisms involved in the physiopathology necessary to access correct diagnosis and to develop appropriate he...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7744584/ https://www.ncbi.nlm.nih.gov/pubmed/33376724 http://dx.doi.org/10.1155/2020/4280467 |
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author | Ghedira, Kais Kouidhi, Soumaya Hamdi, Yosr Othman, Houcemeddine Kechaou, Sonia Znaidi, Sadri Haïtham, Sghaier Rabhi, Imen |
author_facet | Ghedira, Kais Kouidhi, Soumaya Hamdi, Yosr Othman, Houcemeddine Kechaou, Sonia Znaidi, Sadri Haïtham, Sghaier Rabhi, Imen |
author_sort | Ghedira, Kais |
collection | PubMed |
description | Orphan diseases (ODs) are progressive genetic disorders, which affect a small number of people. The principal fundamental aspects related to these diseases include insufficient knowledge of mechanisms involved in the physiopathology necessary to access correct diagnosis and to develop appropriate healthcare. Unlike ODs, complex diseases (CDs) have been widely studied due to their high incidence and prevalence allowing to understand the underlying mechanisms controlling their physiopathology. Few studies have focused on the relationship between ODs and CDs to identify potential shared pathways and related molecular mechanisms which would allow improving disease diagnosis, prognosis, and treatment. We have performed a computational approach to studying CDs and ODs relationships through (1) connecting diseases to genes based on genes-diseases associations from public databases, (2) connecting ODs and CDs through binary associations based on common associated genes, and (3) linking ODs and CDs to common enriched pathways. Among the most shared significant pathways between ODs and CDs, we found pathways in cancer, p53 signaling, mismatch repair, mTOR signaling, B cell receptor signaling, and apoptosis pathways. Our findings represent a reliable resource that will contribute to identify the relationships between drugs and disease-pathway networks, enabling to optimise patient diagnosis and disease treatment. |
format | Online Article Text |
id | pubmed-7744584 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-77445842020-12-28 Pathway Maps of Orphan and Complex Diseases Using an Integrative Computational Approach Ghedira, Kais Kouidhi, Soumaya Hamdi, Yosr Othman, Houcemeddine Kechaou, Sonia Znaidi, Sadri Haïtham, Sghaier Rabhi, Imen Biomed Res Int Research Article Orphan diseases (ODs) are progressive genetic disorders, which affect a small number of people. The principal fundamental aspects related to these diseases include insufficient knowledge of mechanisms involved in the physiopathology necessary to access correct diagnosis and to develop appropriate healthcare. Unlike ODs, complex diseases (CDs) have been widely studied due to their high incidence and prevalence allowing to understand the underlying mechanisms controlling their physiopathology. Few studies have focused on the relationship between ODs and CDs to identify potential shared pathways and related molecular mechanisms which would allow improving disease diagnosis, prognosis, and treatment. We have performed a computational approach to studying CDs and ODs relationships through (1) connecting diseases to genes based on genes-diseases associations from public databases, (2) connecting ODs and CDs through binary associations based on common associated genes, and (3) linking ODs and CDs to common enriched pathways. Among the most shared significant pathways between ODs and CDs, we found pathways in cancer, p53 signaling, mismatch repair, mTOR signaling, B cell receptor signaling, and apoptosis pathways. Our findings represent a reliable resource that will contribute to identify the relationships between drugs and disease-pathway networks, enabling to optimise patient diagnosis and disease treatment. Hindawi 2020-11-27 /pmc/articles/PMC7744584/ /pubmed/33376724 http://dx.doi.org/10.1155/2020/4280467 Text en Copyright © 2020 Kais Ghedira et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Ghedira, Kais Kouidhi, Soumaya Hamdi, Yosr Othman, Houcemeddine Kechaou, Sonia Znaidi, Sadri Haïtham, Sghaier Rabhi, Imen Pathway Maps of Orphan and Complex Diseases Using an Integrative Computational Approach |
title | Pathway Maps of Orphan and Complex Diseases Using an Integrative Computational Approach |
title_full | Pathway Maps of Orphan and Complex Diseases Using an Integrative Computational Approach |
title_fullStr | Pathway Maps of Orphan and Complex Diseases Using an Integrative Computational Approach |
title_full_unstemmed | Pathway Maps of Orphan and Complex Diseases Using an Integrative Computational Approach |
title_short | Pathway Maps of Orphan and Complex Diseases Using an Integrative Computational Approach |
title_sort | pathway maps of orphan and complex diseases using an integrative computational approach |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7744584/ https://www.ncbi.nlm.nih.gov/pubmed/33376724 http://dx.doi.org/10.1155/2020/4280467 |
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