Constructing HairDB to facilitate exposome research using human hair

IF 10.3 1区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environment International Pub Date : 2024-10-16 DOI:10.1016/j.envint.2024.109077

Ying Chen , Yukai Wang , David Hidalgo Delgado , Huaxu Yu , Tingting Zhao , Mingliang Fang , Tao Huan

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引用次数: 0

Abstract

This study introduces HairDB, an online database serving as a comprehensive repository of hair-related chemicals for exposome research. HairDB was created via an integrative approach. It first extracted 4,184 unique hair-related chemicals through text mining of over 34 million PubMed abstracts and 5.2 million PubMed Central articles, followed by manual data checking. HairDB also applied an artificial intelligence-enabled search to discover organic aerosol biomarkers in literature. A set of 768 chemicals used in hair-related products was then curated through a combination of manual searches and data extraction from the Cosmetic Ingredient Database (CosIng) of the European Union. From manually reading review papers, 29 organic aerosol biomarkers were extracted. Furthermore, 3,679 known exposure chemicals extracted from the Toxin and Toxin Target Database (T3DB) were incorporated in HairDB to represent the possible environmental exposures detected on hair surfaces. The comprehensive set of chemicals captured in HairDB represents the current knowledge of what can be found in and on hair. HairDB was constructed as a user-friendly web interface, allowing easy exploration of hair-related chemicals and tailored for annotating mass spectrometry-based hair exposomics data. The development of HairDB marks an important step forward in using hair as a biological matrix for chemical exposure measurement, facilitating the adoption of hair for exposome research. HairDB is publicly available at https://www.hairdb.ca/.

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构建 HairDB，促进利用人类头发开展暴露组研究

本研究介绍的 HairDB 是一个在线数据库，是用于暴露组研究的头发相关化学物质的综合资料库。HairDB 是通过综合方法创建的。它首先通过对超过 3400 万篇 PubMed 摘要和 520 万篇 PubMed Central 文章的文本挖掘，提取了 4184 种独特的毛发相关化学物质，然后进行了人工数据检查。HairDB 还采用了人工智能搜索技术来发现文献中的有机气溶胶生物标记物。然后，通过人工搜索和从欧盟化妆品成分数据库（CosIng）中提取数据相结合的方法，整理出了一组用于头发相关产品的 768 种化学物质。通过人工阅读综述论文，提取了 29 种有机气溶胶生物标记物。此外，从毒素和毒素目标数据库（T3DB）中提取的 3,679 种已知暴露化学物质也被纳入 HairDB，以代表在头发表面检测到的可能环境暴露。HairDB 中包含的一整套化学物质代表了目前关于头发中和头发上可能存在的化学物质的知识。HairDB 是一个用户友好型网络接口，可方便地探索与头发相关的化学物质，并可为基于质谱的头发暴露组学数据添加注释。HairDB 的开发标志着在利用头发作为生物基质进行化学暴露测量方面向前迈出了重要一步，促进了头发在暴露组研究中的应用。HairDB 可通过 https://www.hairdb.ca/ 公开获取。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Environment International 环境科学-环境科学

CiteScore

21.90

自引率

3.40%

发文量

734

审稿时长

2.8 months

期刊介绍： Environmental Health publishes manuscripts focusing on critical aspects of environmental and occupational medicine, including studies in toxicology and epidemiology, to illuminate the human health implications of exposure to environmental hazards. The journal adopts an open-access model and practices open peer review. It caters to scientists and practitioners across all environmental science domains, directly or indirectly impacting human health and well-being. With a commitment to enhancing the prevention of environmentally-related health risks, Environmental Health serves as a public health journal for the community and scientists engaged in matters of public health significance concerning the environment.