| 组学技术在尘肺病生物标志物中的研究进展 |
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| 引用本文： | 陈亦然, 朱峰林, 王曙光, 王佳, 穆敏, 叶冬青. 组学技术在尘肺病生物标志物中的研究进展[J]. 中华疾病控制杂志, 2023, 27(7): 838-843. doi: 10.16462/j.cnki.zhjbkz.2023.07.016 |
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| 作者姓名： | 陈亦然 朱峰林 王曙光 王佳 穆敏 叶冬青 |
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| 作者单位： | 1.安徽理工大学工业粉尘防控与职业安全健康教育部重点实验室，淮南 232001;;2.安徽理工大学煤炭安全精准开采国家地方联合工程研究中心，淮南 232001;;3.安徽理工大学公共卫生学院，淮南 232001 |
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| 基金项目： | 安徽高校自然科学研究(KJ2020A0333)； |
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| 摘 要： | 尘肺病作为职业病之一，其确切发病机制尚未完全阐明，且无针对性治疗方案。在疾病的发展中，生物标志物作为一种可测量的生物信号，对尘肺病的早期诊断及疾病分期具有重要意义。随着组学技术的兴起，基因、转录、蛋白和代谢等学技术已筛选出与易感基因、表达调控因子、蛋白质、代谢物等相关的尘肺病候选生物标志物。本研究对组学技术在尘肺病研究中发现的生物标志物进行综述，为尘肺病早期预警和精准干预治疗提供新思路。
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| 关 键 词： | 尘肺病 肺纤维化 生物标志物 组学技术 |
| 收稿时间： | 2023-01-11 |
| 修稿时间： | 2023-05-05 |
Research progress of omics techniques in biomarkers for pneumoconiosis |
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| CHEN Yiran, ZHU Fenglin, WANG Shuguang, WANG Jia, MU Min, YE Dongqing. Research progress of omics techniques in biomarkers for pneumoconiosis[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(7): 838-843. doi: 10.16462/j.cnki.zhjbkz.2023.07.016 |
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| Authors: | CHEN Yiran ZHU Fenglin WANG Shuguang WANG Jia MU Min YE Dongqing |
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| Affiliation: | 1. Key Laboratory of Industrial Dust Prevention and Control & Occupational Health and Safety, Ministry of Education, Anhui University of Science and Technology, Huainan 232001, China;;2. Joint National-Local Engineering Research Centre for Safe and Precise Coal Mining, Anhui University of Science and Technology, Huainan 232001, China;;3. School of Public Health, Anhui University of Science and Technology, Huainan 232001, China |
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| Abstract: | Pneumoconiosis, one of the most severe occupational diseases in China, presents an elusive pathogenesis and lacks targeted treatments. As the disease progresses, biomarkers, serving as quantifiable biological indicators, play a crucial role in early detection and disease staging of pneumoconiosis. Recent advances in omics technologies have allowed for screening potential biomarkers for pneumoconiosis related to susceptibility genes, expression regulatory factors, proteins, metabolites, and so on. This article reviews the applications of omics techniques in identifying biomarkers for pneumoconiosis, aiming to provide fresh perspectives for early detection and precise intervention strategies in the management of pneumoconiosis. |
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| Keywords: | Pneumoconiosis Pulmonary fibrosis Biomarker Omics techniques |
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