R script for GC-MS data analysis and peak tables for asthma, bronchiectasis and chronic obstructive pulmonary disease patients.

We previously established a comprehensive human breathomics database called HBDB, which compiled information on 913 volatile organic compounds (VOCs) found in human exhalations, as reported in 2766 publications. We have now expanded the literature base of HBDB and integrated it with the results of our GC‒MS analysis of breath molecules in 233 patient samples to create the Human Clinical Breathomics Database (CBDB). Breath molecules can reflect various conditions, including human psychological and pathological states as well as the microbiome. The noninvasive nature of detecting breath molecules has significant advantages in terms of diagnostic and monitoring capabilities. CBDB contains VOCs present in breath, related references, and biomedical information gathered through manual curation and automatic extraction. This resource is the most extensive human clinical breath molecule collection and has been gathered using consistent sample collection protocols. We believe CBDB will be a valuable resource for researchers and clinicians as they seek to identify and further study potential biomarkers in patient breath. The CBDB can be accessed for free at https://hbdb.cmdm.tw/cbdb. The sample were collected from asthma, bronchiectasis and chronic obstructive pulmonary disease patients. The material, in-house R script for GC-MS data analysis and peak tables for 3 respiratory diseases are available here. <br>

本团队此前构建了一套综合性人类呼吸组学数据库HBDB，该库收录了2766篇文献中报道的、存在于人类呼出气中的913种挥发性有机化合物（VOCs）的相关信息。本次研究拓展了HBDB的文献基础，并将其与233例患者样本的呼出气分子气相色谱-质谱（GC-MS）分析结果进行整合，由此构建了人类临床呼吸组学数据库（Human Clinical Breathomics Database，CBDB）。呼出气分子可反映多种机体状态，包括人类的心理、病理状态以及微生物组。呼出气分子检测具有无创性，在疾病诊断与病情监测领域具备显著优势。CBDB收录了呼出气中的VOCs、相关参考文献，以及通过人工整理与自动提取获得的生物医学信息。该数据库是目前规模最大的人类临床呼出气分子数据集，且所有样本均采用统一的采集方案进行收集。本团队认为，CBDB将为研究人员与临床医师识别、深入研究患者呼出气中潜在生物标志物提供宝贵的研究资源。科研人员可通过https://hbdb.cmdm.tw/cbdb免费访问CBDB。本次研究的样本来源于哮喘、支气管扩张症及慢性阻塞性肺疾病患者。用于GC-MS数据分析的自研R脚本及3种呼吸系统疾病的峰表等相关资料可于此处获取。