microbeMASST is finally out on Nature Microbiology! Massive thanks to all the co-authors and cannot wait to see how the #microbiome community is going to use it

✨ Wrapping up our final EMN meeting of the 2024–2025 term! ✨ A huge thank you to our outgoing team of amazing ECRs for their dedication and contributions over the past year. We'll miss you! 💙 Stay tuned, we will shortly welcome our new members for the 2025–2026 term! 💪

📢 Join the EMN Committee! Applications are OPEN—we want you on our 2025‑26 team. Make a difference, grow your skills, and connect with peers. 📷 Jul 28–Aug 10 2025 https://t.co/eYQkt6m62B 📷 Apply: https://t.co/SooANJN54j #EMNCommittee #ECR #MetabolomicsSociety

💥 A gut microbe metabolite that drives #atherosclerosis? Yes—Imidazole propionate (ImP) triggers vascular inflammation without changing cholesterol. 🧪 We show the pathway—and how to block it. https://t.co/ZazBw50FFC #OpenAccess at @Nature @CNIC_CARDIO #microbiome #CVD

My first #ASMS2025 was an incredible experience where I presented “Restoration of Antibiotic-Impacted Microbiome in Human Babies: Pilot Metabolomic Study on the Efficacy of Autologous Fecal Microbiota Transplantation” Huge thanks to Dr. Maria Gloria Dominguez Bello, Dr. James

In #Microbiome 🔍Exploring the influence of a concept infant formula containing lipid droplets similar to human milk🍼 🚨Infants harboured fewer types of harmful & more types of helpful gut bacteria than babies fed on standard formula 👉 https://t.co/JvK0hYHnKd

The last of my PhD projects is finally out! This was a great collaboration with @Danone , looking at supplementing infant formula with a novel milk fat globule. #infant #microbiome #nutrition

As the manuscript is currently under review, I welcome any feedback or question 😁

This project was a massive collaborative effort between @DukeU , @Caltech , and @UCSD. A big thank you goes to the PIs who made this possible - Rima Kaddurah-Daouk, Sarkis Mazmanian, Rob Knight, and @Pdorrestein1 - and all the collaborators! 13/n

We believe this resource and its associated tools will aid future research in the pathophysiology of AD and in the broader context of #biomedicalresearch. Additionally, this dataset contains hundreds of yet-to-be-characterized metabolites that researchers can explore. 12/n

We then reprocessed 1.5k blood samples collected by the Alzheimer Gut Microbiome Project (#AGMP) and found phenylacetyl-carnitine to be correlated with #aging, #cognitive impairment, #physical exercise and AD #biomarkers in the cerebral spinal fluid (CSF). 11/n

Looking for these previously #uncharacterized carnitines, we observed phenylacetyl-carnitine to be enriched in inflammatory diseases. This workflow can be applied to any kind of (un)annotated MS/MS spectrum researchers are interested in. 10/n

We then developed #tissueMASST to translate animal findings to human datasets. This MS/MS search tool comprises ~50k LC-MS/MS samples captured from animal models and humans with associated metadata, such as tissue type, disease status, sex, and age. 9/n

Given their possible biological relevance, we did some magic 🪄 and annotated them as benzoyl-carnitine, phenylacetyl-carnitine, and phenylpropionyl-carnitine. We #synthesized the standards and their MS/MS spectra are now part of the GNPS libraries. 8/n

These molecules were classified as modulated by the microbiome and, in an external dataset, were observed responding both to #antibiotics and #prebiotics. Additionally, they positively correlated with #inflammation markers of the mesenteric lymph nodes of the mice. 7/n

Specifically focusing on #carnitines, which were dysregulated across multiple tissues, we generated a cross-tissue molecular network to capture a holistic view. We observed 3 putative carnitines that were not annotated via GNPS MS/MS libraries. 6/n

Having both SPF and GF animals also allowed us to putatively identify if molecular alterations were driven by the #genotype, the #microbiome, or both. Information available for all the molecular features differentiating AD animals from WT. 5/n

Thousands of metabolic features were driving these separations across tissues. Alterations were observed in the #bileacids pool (obviously😉) but also in N-acyl lipids, B vitamins, neurotransmitters, polyamines, and several other classes of molecules. 4/n

Murine models of #Alzheimers Disease (AD) present distinct metabolic profiles across five tissue types captured by this atlas - brain, serum, liver, cecum, and feces. 3/n

We have generated an untargeted #metabolomics atlas from more than 2,000 samples collected from tissues of 300 mice with different genetic backgrounds (3xTg, 5xFAD, C57BL/6J), colonization conditions (SPF, GF), sex, and age. Data and metadata are publicly available. 😁 2/n

I am excited to share the latest project I have been working on "A Multi-Organ Murine Metabolomics Atlas Reveals Molecular Dysregulations in Alzheimer’s Disease". 1/n