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Integrated genomic network analysis revealed potential of a druggable target for hemorrhoid treatment

Hemorrhoids are a prevalent medical condition that necessitates effective treatment options. The current options for treatment consist of oral medications, topical applications, or surgery, yet a scarcity of highly effective drugs still exists. Genetic markers provide promising avenues for investiga...

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Autores principales: Adikusuma, Wirawan, Firdayani, Firdayani, Irham, Lalu Muhammad, Darmawi, Darmawi, Hamidy, Muhammad Yulis, Nopitasari, Baiq Leny, Soraya, Soraya, Azizah, Nurul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641558/
https://www.ncbi.nlm.nih.gov/pubmed/37965490
http://dx.doi.org/10.1016/j.jsps.2023.101831
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author Adikusuma, Wirawan
Firdayani, Firdayani
Irham, Lalu Muhammad
Darmawi, Darmawi
Hamidy, Muhammad Yulis
Nopitasari, Baiq Leny
Soraya, Soraya
Azizah, Nurul
author_facet Adikusuma, Wirawan
Firdayani, Firdayani
Irham, Lalu Muhammad
Darmawi, Darmawi
Hamidy, Muhammad Yulis
Nopitasari, Baiq Leny
Soraya, Soraya
Azizah, Nurul
author_sort Adikusuma, Wirawan
collection PubMed
description Hemorrhoids are a prevalent medical condition that necessitates effective treatment options. The current options for treatment consist of oral medications, topical applications, or surgery, yet a scarcity of highly effective drugs still exists. Genetic markers provide promising avenues for investigating the treatment of hemorrhoids, as they may reveal intricate biological mechanisms and targeted drug therapies, ultimately enhancing more precise treatment tailored to the patient. This study aims to identify new drug candidates for treating hemorrhoids through a meticulous bioinformatics approach and integrated with genomic network analysis. After extracting 21 druggable target genes using DrugBank from 293 genes connected to hemorrhoids, 87 possible drugs were selected. Three of these drugs (ketamine, methylene blue, and fulvestrant) hold potential in addressing issues associated with hemorrhoids and have been supported by clinical or preclinical studies. Eighty-four compounds present new therapeutic possibilities for managing hemorrhoids. We highlight that our findings indicate that NOX1 and NOS3 genes are promising biomarkers, with NOS3 gaining significance owing to its robust systemic functional annotations. Sapropterin, an existing drug, is closely associated with NOS3, providing a clear target for biomarker-driven interventions. This study illustrates the potential of combining genomic network analysis with bioinformatics to repurpose drugs for treating hemorrhoids. Subsequent research will explore the mechanisms for utilizing NOS3 targeting in the treatment of hemorrhoids.
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spelling pubmed-106415582023-11-14 Integrated genomic network analysis revealed potential of a druggable target for hemorrhoid treatment Adikusuma, Wirawan Firdayani, Firdayani Irham, Lalu Muhammad Darmawi, Darmawi Hamidy, Muhammad Yulis Nopitasari, Baiq Leny Soraya, Soraya Azizah, Nurul Saudi Pharm J Original Article Hemorrhoids are a prevalent medical condition that necessitates effective treatment options. The current options for treatment consist of oral medications, topical applications, or surgery, yet a scarcity of highly effective drugs still exists. Genetic markers provide promising avenues for investigating the treatment of hemorrhoids, as they may reveal intricate biological mechanisms and targeted drug therapies, ultimately enhancing more precise treatment tailored to the patient. This study aims to identify new drug candidates for treating hemorrhoids through a meticulous bioinformatics approach and integrated with genomic network analysis. After extracting 21 druggable target genes using DrugBank from 293 genes connected to hemorrhoids, 87 possible drugs were selected. Three of these drugs (ketamine, methylene blue, and fulvestrant) hold potential in addressing issues associated with hemorrhoids and have been supported by clinical or preclinical studies. Eighty-four compounds present new therapeutic possibilities for managing hemorrhoids. We highlight that our findings indicate that NOX1 and NOS3 genes are promising biomarkers, with NOS3 gaining significance owing to its robust systemic functional annotations. Sapropterin, an existing drug, is closely associated with NOS3, providing a clear target for biomarker-driven interventions. This study illustrates the potential of combining genomic network analysis with bioinformatics to repurpose drugs for treating hemorrhoids. Subsequent research will explore the mechanisms for utilizing NOS3 targeting in the treatment of hemorrhoids. Elsevier 2023-12 2023-10-20 /pmc/articles/PMC10641558/ /pubmed/37965490 http://dx.doi.org/10.1016/j.jsps.2023.101831 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Adikusuma, Wirawan
Firdayani, Firdayani
Irham, Lalu Muhammad
Darmawi, Darmawi
Hamidy, Muhammad Yulis
Nopitasari, Baiq Leny
Soraya, Soraya
Azizah, Nurul
Integrated genomic network analysis revealed potential of a druggable target for hemorrhoid treatment
title Integrated genomic network analysis revealed potential of a druggable target for hemorrhoid treatment
title_full Integrated genomic network analysis revealed potential of a druggable target for hemorrhoid treatment
title_fullStr Integrated genomic network analysis revealed potential of a druggable target for hemorrhoid treatment
title_full_unstemmed Integrated genomic network analysis revealed potential of a druggable target for hemorrhoid treatment
title_short Integrated genomic network analysis revealed potential of a druggable target for hemorrhoid treatment
title_sort integrated genomic network analysis revealed potential of a druggable target for hemorrhoid treatment
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641558/
https://www.ncbi.nlm.nih.gov/pubmed/37965490
http://dx.doi.org/10.1016/j.jsps.2023.101831
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