CCDB: A database for exploring inter-chemical correlations in metabolomics and exposomics datasets

Inter-chemical correlations in metabolomics and exposomics datasets provide valuable information for studying relationships among chemicals reported for human specimens. With an increase in the number of compounds for these datasets, a network graph analysis and visualization of the correlation stru...

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Bibliographic Details
Main Authors: Arora, M. (Author), Barupal, D.K (Author), Fakouri-Baygi, S. (Author), Mahajan, P. (Author), Teitelbaum, S.L (Author), Wright, R.O (Author)
Format: Article
Language:English
Published: Elsevier Ltd 2022
Subjects:
Online Access:View Fulltext in Publisher
LEADER 02582nam a2200289Ia 4500
001 10.1016-j.envint.2022.107240
008 220510s2022 CNT 000 0 und d
020 |a 01604120 (ISSN) 
245 1 0 |a CCDB: A database for exploring inter-chemical correlations in metabolomics and exposomics datasets 
260 0 |b Elsevier Ltd  |c 2022 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1016/j.envint.2022.107240 
520 3 |a Inter-chemical correlations in metabolomics and exposomics datasets provide valuable information for studying relationships among chemicals reported for human specimens. With an increase in the number of compounds for these datasets, a network graph analysis and visualization of the correlation structure is difficult to interpret. We have developed the Chemical Correlation Database (CCDB), as a systematic catalogue of inter-chemical correlation in publicly available metabolomics and exposomics studies. The database has been provided via an online interface to create single compound-centric views. We have demonstrated various applications of the database to explore: 1) the chemicals from a chemical class such as Per- and Polyfluoroalkyl Substances (PFAS), polycyclic aromatic hydrocarbons (PAHs), polychlorinated biphenyls (PCBs), phthalates and tobacco smoke related metabolites; 2) xenobiotic metabolites such as caffeine and acetaminophen; 3) endogenous metabolites (acyl-carnitines); and 4) unannotated peaks for PFAS. The database has a rich collection of 35 human studies, including the National Health and Nutrition Examination Survey (NHANES) and high-quality untargeted metabolomics datasets. CCDB is supported by a simple, interactive and user-friendly web-interface to retrieve and visualize the inter-chemical correlation data. The CCDB has the potential to be a key computational resource in metabolomics and exposomics facilitating the expansion of our understanding about biological and chemical relationships among metabolites and chemical exposures in the human body. The database is available at www.ccdb.idsl.me site. © 2022 The Author(s) 
650 0 4 |a Biomonitoring 
650 0 4 |a Database 
650 0 4 |a Exposomics 
650 0 4 |a Inter-chemical correlation 
650 0 4 |a Metabolic pathways 
650 0 4 |a Metabolomics 
650 0 4 |a NHANES 
650 0 4 |a Software 
700 1 |a Arora, M.  |e author 
700 1 |a Barupal, D.K.  |e author 
700 1 |a Fakouri-Baygi, S.  |e author 
700 1 |a Mahajan, P.  |e author 
700 1 |a Teitelbaum, S.L.  |e author 
700 1 |a Wright, R.O.  |e author 
773 |t Environment International