KNUTS-DB- A Data-driven Knowledge Database for NUTS

Toxicol Mech Methods. 2025 Apr 24:1-13. doi: 10.1080/15376516.2025.2496752. Online ahead of print.

ABSTRACT

Databases specifying the nutrients and allergens present in multi-ingredient foods are required to explore the effect of food consumption on health outcomes accurately. The phytochemicals found in tree nuts have been associated with antioxidant, anti-inflammatory, antiproliferative, antiviral, chemo preventive and hypercholesterolaemic actions, all of which are known to affect the initiation and progression of several pathogenic processes. We have developed KNUTS-DB - a data-driven knowledge database for nuts - containing information on the chemical nutrients, molecular targets, pathways, disease associations, and clinically defined food allergen properties of peanuts and tree nuts. The database includes data sets associated with extremely rich and diverse metadata on almonds, cashew, pecan, walnut, pistachio, peanut and walnut. Additionally, the database allows users to perform pathway and GO-Term enrichment analysis for user-defined chemical nutrients. The results of the analysis are presented using heatmaps and network plots. The database can be searched using options such as similarity search, interaction values, type of allergens, and specific nut types. KNUTS-DB offers researchers a unique platform to explore nuts' chemical composition and to investigate associations between nut composition and health outcomes - providing deeper insights into the molecular mechanisms. KNUTS-DB, the first of its kind, is freely available to all users via https://allergypred.charite.de/KNutsDB/ without any login or registration.

PMID:40269639 | DOI:10.1080/15376516.2025.2496752