New disease-specific database (AD-database) and suspect lists (TOP1, SC20 and AD-CTD) were created to explore the CSF metabolome and exposome of MCI and AD subjects (Figure ). First, the AD-database was created through literature mining , integrating chemicals co-occurring with 27 Medical Subject Headings (MeSH) related to AD or symptoms, given in Table . This database was filtered to create smaller lists based on reverse neighboring relations (TOP1) and cooccurrence scores (SC20), as detailed in S1. 4 and Figures S4&5. A list of chemicals (AD-CTD) specifically related to AD in the Comparative Toxicogenomic Database (CTD), was also extracted from PubChem . These lists were complemented with the publicly available CSF Human Metabolome database (HMDB-CSF) and PubChemLite for Exposomics (PCL) . The associated code and lists are available on GitLab 27 and Zenodo 28 respectively. Figure . Databases and suspect lists employed for the non-target screening (left) and the suspect screening (right) analysis with patRoon. *Indicates databases/suspect lists created for the purpose of this study . See main text, S1. 4 and Table for more details. CID: PubChem Compound IDentifier.