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Iron Metabolism and Idiopathic Pulmonary Arterial Hypertension: New Insights from Bioinformatic Analysis

Idiopathic pulmonary arterial hypertension (IPAH) is a rare vascular disease with a poor prognosis, and the mechanism of its development remains unclear. Further molecular pathology studies may contribute to a comprehensive understanding of IPAH and provide new insights into diagnostic markers and p...

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Autores principales: Zou, Hua-Xi, Qiu, Bai-Quan, Lai, Song-Qing, Zhou, Xue-Liang, Gong, Cheng-Wu, Wang, Li-Jun, Yuan, Ming-Ming, He, An-Di, Liu, Ji-Chun, Huang, Huang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8556088/
https://www.ncbi.nlm.nih.gov/pubmed/34722766
http://dx.doi.org/10.1155/2021/5669412
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author Zou, Hua-Xi
Qiu, Bai-Quan
Lai, Song-Qing
Zhou, Xue-Liang
Gong, Cheng-Wu
Wang, Li-Jun
Yuan, Ming-Ming
He, An-Di
Liu, Ji-Chun
Huang, Huang
author_facet Zou, Hua-Xi
Qiu, Bai-Quan
Lai, Song-Qing
Zhou, Xue-Liang
Gong, Cheng-Wu
Wang, Li-Jun
Yuan, Ming-Ming
He, An-Di
Liu, Ji-Chun
Huang, Huang
author_sort Zou, Hua-Xi
collection PubMed
description Idiopathic pulmonary arterial hypertension (IPAH) is a rare vascular disease with a poor prognosis, and the mechanism of its development remains unclear. Further molecular pathology studies may contribute to a comprehensive understanding of IPAH and provide new insights into diagnostic markers and potential therapeutic targets. Iron deficiency has been reported in 43-63% of patients with IPAH and is associated with reduced exercise capacity and higher mortality, suggesting that dysregulated iron metabolism may play an unrecognized role in influencing the development of IPAH. In this study, we explored the regulatory mechanisms of iron metabolism in IPAH by bioinformatic analysis. The molecular function of iron metabolism-related genes (IMRGs) is mainly enriched in active transmembrane transporter activity, and they mainly affect the biological process of response to oxidative stress. Ferroptosis and fluid shear stress and atherosclerosis pathways may be the critical pathways regulating iron metabolism in IPAH. We further identified 7 key genes (BCL2, GCLM, MSMO1, SLC7A11, SRXN1, TSPAN5, and TXNRD1) and 5 of the key genes (BCL2, MSMO1, SLC7A11, TSPAN5, and TXNRD1) as target genes may be regulated by 6 dysregulated miRNAs (miR-483-5p, miR-27a-3p, miR-27b-3p, miR-26b-5p, miR-199a-5p, and miR-23b-3p) in IPAH. In addition, we predicted potential IPAH drugs—celastrol and cinnamaldehyde—that target iron metabolism based on our results. These results provide insights for further definition of the role of dysregulated iron metabolism in IPAH and contribute to a deeper understanding of the molecular mechanisms and potential therapeutic targets of IPAH.
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spelling pubmed-85560882021-10-30 Iron Metabolism and Idiopathic Pulmonary Arterial Hypertension: New Insights from Bioinformatic Analysis Zou, Hua-Xi Qiu, Bai-Quan Lai, Song-Qing Zhou, Xue-Liang Gong, Cheng-Wu Wang, Li-Jun Yuan, Ming-Ming He, An-Di Liu, Ji-Chun Huang, Huang Biomed Res Int Research Article Idiopathic pulmonary arterial hypertension (IPAH) is a rare vascular disease with a poor prognosis, and the mechanism of its development remains unclear. Further molecular pathology studies may contribute to a comprehensive understanding of IPAH and provide new insights into diagnostic markers and potential therapeutic targets. Iron deficiency has been reported in 43-63% of patients with IPAH and is associated with reduced exercise capacity and higher mortality, suggesting that dysregulated iron metabolism may play an unrecognized role in influencing the development of IPAH. In this study, we explored the regulatory mechanisms of iron metabolism in IPAH by bioinformatic analysis. The molecular function of iron metabolism-related genes (IMRGs) is mainly enriched in active transmembrane transporter activity, and they mainly affect the biological process of response to oxidative stress. Ferroptosis and fluid shear stress and atherosclerosis pathways may be the critical pathways regulating iron metabolism in IPAH. We further identified 7 key genes (BCL2, GCLM, MSMO1, SLC7A11, SRXN1, TSPAN5, and TXNRD1) and 5 of the key genes (BCL2, MSMO1, SLC7A11, TSPAN5, and TXNRD1) as target genes may be regulated by 6 dysregulated miRNAs (miR-483-5p, miR-27a-3p, miR-27b-3p, miR-26b-5p, miR-199a-5p, and miR-23b-3p) in IPAH. In addition, we predicted potential IPAH drugs—celastrol and cinnamaldehyde—that target iron metabolism based on our results. These results provide insights for further definition of the role of dysregulated iron metabolism in IPAH and contribute to a deeper understanding of the molecular mechanisms and potential therapeutic targets of IPAH. Hindawi 2021-10-22 /pmc/articles/PMC8556088/ /pubmed/34722766 http://dx.doi.org/10.1155/2021/5669412 Text en Copyright © 2021 Hua-Xi Zou 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
Zou, Hua-Xi
Qiu, Bai-Quan
Lai, Song-Qing
Zhou, Xue-Liang
Gong, Cheng-Wu
Wang, Li-Jun
Yuan, Ming-Ming
He, An-Di
Liu, Ji-Chun
Huang, Huang
Iron Metabolism and Idiopathic Pulmonary Arterial Hypertension: New Insights from Bioinformatic Analysis
title Iron Metabolism and Idiopathic Pulmonary Arterial Hypertension: New Insights from Bioinformatic Analysis
title_full Iron Metabolism and Idiopathic Pulmonary Arterial Hypertension: New Insights from Bioinformatic Analysis
title_fullStr Iron Metabolism and Idiopathic Pulmonary Arterial Hypertension: New Insights from Bioinformatic Analysis
title_full_unstemmed Iron Metabolism and Idiopathic Pulmonary Arterial Hypertension: New Insights from Bioinformatic Analysis
title_short Iron Metabolism and Idiopathic Pulmonary Arterial Hypertension: New Insights from Bioinformatic Analysis
title_sort iron metabolism and idiopathic pulmonary arterial hypertension: new insights from bioinformatic analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8556088/
https://www.ncbi.nlm.nih.gov/pubmed/34722766
http://dx.doi.org/10.1155/2021/5669412
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