{"title":"通过机器学习识别与年龄相关的听力损失的基因特征,揭示CTSS对小鼠耳蜗的影响。","authors":"Xu Jiang, Jing Ke, Yiting Liu, Xiaoqin Luo, Menglong Feng, Hailan Mo, Wei Yuan","doi":"10.1007/s10522-025-10261-8","DOIUrl":null,"url":null,"abstract":"<p><p>Age-related hearing loss (ARHL) is one of the most common health conditions among the elderly population. This study used machine learning to screen for a gene signature to predicts ARHL. Four ARHL mice cochlear transcriptome datasets and the mRNA sequencing of C57BL/6J mice were used for analysis. Machine learning was used to screen for gene signatures closely related to ARHL and validate them. Via qPCR, immunohistochemistry, and immunofluorescence confocal microscopy were used to assess the effect of key gene on the cochlea. The gene signature consisting of 38 genes constructed via Stepglm [forwards] had the best accuracy in the training group, with excellent accuracy and recall in the training and testing groups in predicting ARHL. The gene signature reflected active immune function. CTSS was selected as a key gene on the basis of its association with age and influence hearing loss severity. CTSS showed high expression in ARHL and enriched in the cochlear stria vascularis, which is significantly positively correlated with macrophage marker CD68 expression (R = 0.74, p = 0.006). The gene signature has good accuracy in predicting ARHL. CTSS is highly expressed in the cochleae of ARHL mice and may promote ARHL by inducing macrophage enrichment and causing low-grade inflammation.</p>","PeriodicalId":8909,"journal":{"name":"Biogerontology","volume":"26 3","pages":"119"},"PeriodicalIF":4.1000,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identifying a gene signature for age-related hearing loss through machine learning and revealing the effect of the CTSS on the mice cochlea.\",\"authors\":\"Xu Jiang, Jing Ke, Yiting Liu, Xiaoqin Luo, Menglong Feng, Hailan Mo, Wei Yuan\",\"doi\":\"10.1007/s10522-025-10261-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Age-related hearing loss (ARHL) is one of the most common health conditions among the elderly population. This study used machine learning to screen for a gene signature to predicts ARHL. Four ARHL mice cochlear transcriptome datasets and the mRNA sequencing of C57BL/6J mice were used for analysis. Machine learning was used to screen for gene signatures closely related to ARHL and validate them. Via qPCR, immunohistochemistry, and immunofluorescence confocal microscopy were used to assess the effect of key gene on the cochlea. The gene signature consisting of 38 genes constructed via Stepglm [forwards] had the best accuracy in the training group, with excellent accuracy and recall in the training and testing groups in predicting ARHL. The gene signature reflected active immune function. CTSS was selected as a key gene on the basis of its association with age and influence hearing loss severity. CTSS showed high expression in ARHL and enriched in the cochlear stria vascularis, which is significantly positively correlated with macrophage marker CD68 expression (R = 0.74, p = 0.006). The gene signature has good accuracy in predicting ARHL. CTSS is highly expressed in the cochleae of ARHL mice and may promote ARHL by inducing macrophage enrichment and causing low-grade inflammation.</p>\",\"PeriodicalId\":8909,\"journal\":{\"name\":\"Biogerontology\",\"volume\":\"26 3\",\"pages\":\"119\"},\"PeriodicalIF\":4.1000,\"publicationDate\":\"2025-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biogerontology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s10522-025-10261-8\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GERIATRICS & GERONTOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biogerontology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s10522-025-10261-8","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
年龄相关性听力损失(ARHL)是老年人最常见的健康状况之一。这项研究使用机器学习来筛选预测ARHL的基因特征。使用4个ARHL小鼠耳蜗转录组数据和C57BL/6J小鼠的mRNA测序进行分析。使用机器学习筛选与ARHL密切相关的基因签名并对其进行验证。通过qPCR、免疫组织化学和免疫荧光共聚焦显微镜观察关键基因对耳蜗的影响。由38个基因组成的基因标记在训练组中准确率最高,在训练组和测试组中预测ARHL的准确率和召回率都很好。该基因标志反映了活跃的免疫功能。基于CTSS与年龄和影响听力损失严重程度的相关性,我们选择CTSS作为关键基因。CTSS在ARHL中高表达,在耳蜗血管纹中富集,与巨噬细胞标志物CD68表达呈显著正相关(R = 0.74, p = 0.006)。基因标记预测ARHL具有较好的准确性。CTSS在ARHL小鼠耳蜗中高表达,可能通过诱导巨噬细胞富集和引起低度炎症来促进ARHL。
Identifying a gene signature for age-related hearing loss through machine learning and revealing the effect of the CTSS on the mice cochlea.
Age-related hearing loss (ARHL) is one of the most common health conditions among the elderly population. This study used machine learning to screen for a gene signature to predicts ARHL. Four ARHL mice cochlear transcriptome datasets and the mRNA sequencing of C57BL/6J mice were used for analysis. Machine learning was used to screen for gene signatures closely related to ARHL and validate them. Via qPCR, immunohistochemistry, and immunofluorescence confocal microscopy were used to assess the effect of key gene on the cochlea. The gene signature consisting of 38 genes constructed via Stepglm [forwards] had the best accuracy in the training group, with excellent accuracy and recall in the training and testing groups in predicting ARHL. The gene signature reflected active immune function. CTSS was selected as a key gene on the basis of its association with age and influence hearing loss severity. CTSS showed high expression in ARHL and enriched in the cochlear stria vascularis, which is significantly positively correlated with macrophage marker CD68 expression (R = 0.74, p = 0.006). The gene signature has good accuracy in predicting ARHL. CTSS is highly expressed in the cochleae of ARHL mice and may promote ARHL by inducing macrophage enrichment and causing low-grade inflammation.
期刊介绍:
The journal Biogerontology offers a platform for research which aims primarily at achieving healthy old age accompanied by improved longevity. The focus is on efforts to understand, prevent, cure or minimize age-related impairments.
Biogerontology provides a peer-reviewed forum for publishing original research data, new ideas and discussions on modulating the aging process by physical, chemical and biological means, including transgenic and knockout organisms; cell culture systems to develop new approaches and health care products for maintaining or recovering the lost biochemical functions; immunology, autoimmunity and infection in aging; vertebrates, invertebrates, micro-organisms and plants for experimental studies on genetic determinants of aging and longevity; biodemography and theoretical models linking aging and survival kinetics.