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慢性鼻息肉鼻窦炎中与铁死亡相关的枢纽基因、诊断模型和预测药物。

Hub genes, diagnostic model, and predicted drugs related to ferroptosis in chronic rhinosinusitis with nasal polyps.

机构信息

Department of Rhinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

Key Laboratory of Otolaryngology Diseases, Henan Provincial Health Commission, Changsha, China.

出版信息

Medicine (Baltimore). 2024 Nov 29;103(48):e40624. doi: 10.1097/MD.0000000000040624.

DOI:10.1097/MD.0000000000040624
PMID:39612457
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11608670/
Abstract

Significant progress has been made in the pathogenesis of chronic rhinosinusitis (CRS). However, the relationship between chronic rhinosinusitis with nasal polyps (CRSwNP) and ferroptosis, as well as its underlying molecular mechanism, remains unclear. This study aimed to investigate the correlation between CRSwNP and ferroptosis and identify key gene associated with ferroptosis that could impact the diagnosis and treatment of CRS. To achieve this, gene expression profiles containing CRSwNP and CRSsNP samples were obtained from the GEO database. In addition, from the FerrDb V2 database, we acquired 2 sets of genes that are connected with ferroptosis, giving us a combined number of 260 genes associated with this particular biological process. Differential analysis and weighted gene co-expression network analysis (WGCNA) were performed on nasal tissue samples from GSE36830, leading to the identification of 1 key gene related to ferroptosis and CRS. Using stepwise regression and logistic regression analysis, we constructed a diagnostic model for CRS using ALOX15. The AUC value demonstrates that the model exhibits a strong diagnostic performance. Furthermore, the connection between immune cell infiltration in the samples and hub gene was explored, suggesting the potential significance of the hub gene in the immune response to CRS. Finally, Five drugs targeting a central gene were identified from the DrugBank database, and a few of them have exhibited efficacy in the treatment of CRS or associated ailments. In conclusion, this model holds potential for supporting the diagnosis of CRS patients, while the central gene identified may contribute to a better understanding of CRS development and drug treatment.

摘要

慢性鼻-鼻窦炎(CRS)的发病机制已经取得了重大进展。然而,慢性鼻-鼻窦炎伴鼻息肉(CRSwNP)与铁死亡之间的关系及其潜在的分子机制尚不清楚。本研究旨在探讨 CRSwNP 与铁死亡的相关性,并确定与铁死亡相关的关键基因,这些基因可能会影响 CRS 的诊断和治疗。为此,从 GEO 数据库中获得了包含 CRSwNP 和 CRSsNP 样本的基因表达谱。此外,我们从 FerrDb V2 数据库中获取了 2 组与铁死亡相关的基因,共获得了 260 个与该特定生物学过程相关的基因。对 GSE36830 中的鼻组织样本进行差异分析和加权基因共表达网络分析(WGCNA),确定了 1 个与铁死亡和 CRS 相关的关键基因。使用逐步回归和逻辑回归分析,我们使用 ALOX15 构建了 CRS 的诊断模型。AUC 值表明该模型具有较强的诊断性能。此外,还探讨了样本中免疫细胞浸润与枢纽基因之间的关系,提示枢纽基因在 CRS 免疫反应中的潜在意义。最后,从 DrugBank 数据库中确定了针对中央基因的 5 种药物,其中一些药物在治疗 CRS 或相关疾病方面显示出疗效。总之,该模型有望支持 CRS 患者的诊断,而确定的核心基因可能有助于更好地理解 CRS 的发展和药物治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78f6/11608670/1f7905e5524e/medi-103-e40624-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78f6/11608670/21b2ef59d5dc/medi-103-e40624-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78f6/11608670/9cd411a66e6d/medi-103-e40624-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78f6/11608670/1f7905e5524e/medi-103-e40624-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78f6/11608670/21b2ef59d5dc/medi-103-e40624-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78f6/11608670/9cd411a66e6d/medi-103-e40624-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78f6/11608670/1f7905e5524e/medi-103-e40624-g009.jpg

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Laryngoscope. 2024 Nov;134(11):4458-4465. doi: 10.1002/lary.31502. Epub 2024 May 10.
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Sleep and psychological disorders seriously affect the quality of life of chronic rhinosinusitis patients.睡眠和心理障碍严重影响慢性鼻-鼻窦炎患者的生活质量。
Eur Arch Otorhinolaryngol. 2024 Jul;281(7):3615-3623. doi: 10.1007/s00405-024-08505-3. Epub 2024 Feb 11.
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Pathogenesis-based application of biologics for chronic rhinosinusitis: Current and future perspectives.
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