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Heading to Torino this month!
It’s a big month for our lab!
We are very excited to share that we will be attending the upcoming "Steroids and the Nervous System" conference.
A huge congratulations to our very talented students Manuela Faddetta and Catarina Nunes for their accepted presentations. Manuela will be delivering a talk, and Catarina will be presenting her poster.
We are looking forward to a great scientific exchange!
Our new paper is out: Network pharmacology insights into Major Depressive Disorder
We are excited to share our latest research article "Network pharmacology of cellular targets in major depressive disorder and differential mechanisms of fluoxetine, ketamine and esketamine", recently published in the Computational and Structural Biotechnology.
This study, conducted in collaboration with Silvia Tapia-Gonzalez and Josué García Yagüe from CEU San Pablo University (Spain), explores the molecular mechanisms underlying Major Depressive Disorder (MDD).
Using a network pharmacology approach, we identified key druggable targets (OPRM1, EGFR, and GSK3B) and highlighted NFKB as a central node linking inflammation, synaptic plasticity, and neuronal metabolism. These findings offer promising avenues for optimizing therapeutic efficacy and guiding future treatment strategies.
Read the full open-access paper here: https://pmc.ncbi.nlm.nih.gov/articles/PMC12810504/
Season’s greetings from the lab! 🎄🔬
As we wrap up an incredible year of discovery and collaboration, our lab wants to take a moment to wish all our colleagues, partners, and friends a Merry Christmas and a Happy New Year!
2025 was a landmark year for us, marked by meaningful breakthroughs and the strengthening of our partnerships! We are deeply grateful for the dedication of our students and the support of the scientific community.
May the holiday season bring you well-deserved rest, and may 2026 be filled with new hypotheses, successful experiments, and impactful science.
Happy Holidays!!!
Our new bioinformatic paper has been published!
🧠⏰ Our new study shows that obesity disrupts the body’s clock, and the broken clock worsens metabolism.
Using mouse transcriptional data (normal vs. high-fat diet), we combined biological enrichment with Boolean network modeling to map gene-gene interactions centred on lipid metabolism.
We found under-expression of core clock genes (Bmal1, Clock) and a reciprocal loop: lipid metabolic disruption ↔ circadian misalignment amplify each other, undermining brain homeostasis.
These insights point to circadian pathways as therapeutic targets in obesity-related metabolic disorders.
Key takeaways:
🔬 Transcriptomics + systems modeling reveal a clock-lipid axis
🧩 Core clock genes downregulated in obesity (Bmal1, Clock)
🔁 Bidirectional disruption suggests circadian-targeted interventions
Want to know more? Please see here: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0331218