Untargeted metabolomics, folks, it’s a big deal. It’s a powerful tool, a really powerful tool, for studying tumor mechanisms and discovering metabolic markers. But, let me tell you, it’s not easy. It’s a challenge, a huge challenge, from extracting raw data to identifying differential metabolites.

There are so many analytical tools out there, so many processes, all developed for untargeted metabolomics research. But here’s the thing, depending on the tools you choose, the parameters you set, you get different results. It’s not consistent. We need consistency, we need repeatability.

So, what did we do? We set a goal. We wanted to create a platform, an easy-to-use platform, that would give us repeatable results. And we did it. We used the R language, a basic environment, to construct a preprocessing system for the original data. We used the LAMP architecture to build a cloud mass spectrum data analysis system.

We created openNAU, an open-source analysis software for untargeted metabolomics data. It does everything, from extracting raw mass data to quality control for identifying differential metabolic ion peaks. We even built a reference metabolomics database based on public databases.

We’ve established a complete analysis system platform for untargeted metabolomics. It’s got a complete template interface for adding and updating the analysis process. It’s so simple, so easy to use, you can finish complex analyses with simple human-computer interactions.

You can download the source code from https://github.com/zjuRong/openNAU. It’s all there, folks. We’ve done it. We’ve made untargeted metabolomics analysis easy and repeatable.

Aims: Folks, we’ve got the Alcohol Use Disorders Identification Test (AUDIT), a fantastic tool used all over the world. But here’s the thing, not many countries have their own versions, and Russia just recently validated theirs. We’re going to show you how we made a Russian-specific AUDIT (RUS-AUDIT). Methods: We translated the AUDIT into Russian, made it fit the Russian context, and tested it out, all according to WHO rules. We did three pilot phases with 134 patients from primary healthcare and 33 from alcohol treatment facilities, all under the watchful eye of an advisory board. Each version was improved based on the last one. Results: After three pilot phases, we’ve got the RUS-AUDIT, a paper-and-pencil interview for healthcare professionals. We had some issues with the second test item, so we made a special card to help with that. Preliminary scores showed that over a third of women (34.2%) and about half of men (50.9%) from healthcare facilities are at risk. Conclusions: The RUS-AUDIT is a great tool for interviewers and patients. The high number of patients at risk shows the need for a formal validation and Russia-specific cut-off scores, considering their specific drinking patterns. It’s going to be huge!