« Previous AbstractChanges in volatile compounds upon aging and drying in oolong tea production    Next AbstractAging modulates cuticular hydrocarbons and sexual attractiveness in Drosophila melanogaster »

Database (Oxford)

Title:		Human Breathomics Database
Author(s):		Kuo TC; Tan CE; Wang SY; Lin OA; Su BH; Hsu MT; Lin J; Cheng YY; Chen CS; Yang YC; Chen KH; Lin SW; Ho CC; Kuo CH; Tseng YJ;
Address:		"Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan. The Metabolomics Core Laboratory, Centers of Genomic Medicine and Precision Medicine, National Taiwan University, No. 2, Syu-Jhou Road, Taipei 10055, Taiwan. Drug Research Center, College of Pharmacy, College of Medicine, National Taiwan University, No. 33, Linsen S. Road, Taipei 10055, Taiwan. Department of Computer Science and Information Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan. Master Program in Clinical Pharmacogenomics and Pharmacoproteomics, College of Pharmacy, Taipei Medical University, No. 250, Wu-Hsing St., Taipei 11031, Taiwan. Genome and Systems Biology Degree Program, National Taiwan University and Academia Sinica, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan. Department of Pharmacy, School of Pharmacy, College of Medicine, National Taiwan University, No. 33, Linsen S. Road, Taipei 10055, Taiwan. Department of Obstetrics and Gynecology, National Taiwan University Hospital-Yunlin Branch, No. 579, Sec. 2, Yunlin Road, Douliu, Yunlin County 640, Taiwan. Department of Oncology, National Taiwan University Hospital, National Taiwan University Cancer Center, No. 1, Sec. 4, Roosevelt Road, Taipei 10048, Taiwan. Graduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, No. 33, Linsen S. Road, Taipei 10055, Taiwan. Department of Internal Medicine, National Taiwan University Hospital, No. 7, Chung-Shan South Road, Taipei 10002, Taiwan"
Journal Title:		Database (Oxford)
Year:		2020
Volume:		2020
Issue:
Page Number:		-
DOI:		10.1093/database/baz139
ISSN/ISBN:		1758-0463 (Electronic) 1758-0463 (Linking)
Abstract:		"Breathomics is a special branch of metabolomics that quantifies volatile organic compounds (VOCs) from collected exhaled breath samples. Understanding how breath molecules are related to diseases, mechanisms and pathways identified from experimental analytical measurements is challenging due to the lack of an organized resource describing breath molecules, related references and biomedical information embedded in the literature. To provide breath VOCs, related references and biomedical information, we aim to organize a database composed of manually curated information and automatically extracted biomedical information. First, VOCs-related disease information was manually organized from 207 literature linked to 99 VOCs and known Medical Subject Headings (MeSH) terms. Then an automated text mining algorithm was used to extract biomedical information from this literature. In the end, the manually curated information and auto-extracted biomedical information was combined to form a breath molecule database-the Human Breathomics Database (HBDB). We first manually curated and organized disease information including MeSH term from 207 literatures associated with 99 VOCs. Then, an automatic pipeline of text mining approach was used to collect 2766 literatures and extract biomedical information from breath researches. We combined curated information with automatically extracted biomedical information to assemble a breath molecule database, the HBDB. The HBDB is a database that includes references, VOCs and diseases associated with human breathomics. Most of these VOCs were detected in human breath samples or exhaled breath condensate samples. So far, the database contains a total of 913 VOCs in relation to human exhaled breath researches reported in 2766 publications. The HBDB is the most comprehensive HBDB of VOCs in human exhaled breath to date. It is a useful and organized resource for researchers and clinicians to identify and further investigate potential biomarkers from the breath of patients. Database URL: https://hbdb.cmdm.tw"
Keywords:		Breath Tests Data Mining *Database Management Systems Exhalation/*physiology Humans Metabolome/*physiology Metabolomics/*methods *Volatile Organic Compounds/analysis/chemistry;
Notes:		"MedlineKuo, Tien-Chueh Tan, Cheng-En Wang, San-Yuan Lin, Olivia A Su, Bo-Han Hsu, Ming-Tsung Lin, Jessica Cheng, Yu-Yen Chen, Ciao-Sin Yang, Yu-Chieh Chen, Kuo-Hsing Lin, Shu-Wen Ho, Chao-Chi Kuo, Ching-Hua Tseng, Yufeng Jane eng Dataset Research Support, Non-U.S. Gov't England 2020/01/25 Database (Oxford). 2020 Jan 1; 2020:baz139. doi: 10.1093/database/baz139"