The maturation of the gut microbiome during the first six months of life is a foundational process, playing a key role in metabolic programming and training of the immune system, but these patterns remain critically underexplored in populations from low- and middle-income countries. To address this gap, an observational, longitudinal study profiled the developing gut microbiome and metabolome in Bangladesh using a multi-omics approach. Systematic classification and metabolite annotation was achieved using SIRIUS. The overall aim was to understand how maternal and environmental factors—specifically delivery mode, maternal milk composition, and household water treatment—shape this foundational postnatal development.
News
Influence of gut microbiota on drug efficacy
In pharmacology, one of the most significant challenges is the variability in how patients respond to the same drug. While factors like genetics and lifestyle are known to play a role, emerging research points to a hidden player: the human gut microbiota. This vast community of trillions of microbes is an active participant in our health, influencing everything from nutrient absorption to the efficacy of our medications. Using advanced computational tools like SIRIUS to analyze mass spectrometry data, researchers investigated how gut microbiota alter the chemical structure of GPCR drugs.
SIRIUS for prioritization in non-target screening
SIRIUS plays a significant role in prioritization strategies for non-target screening in environmental samples. Its primary function is to generate molecular fingerprints from MS/MS data, which are then used for compound identification or toxicity prediction.
A. Torres-Agullo et al. J. Chromatogr. A (2025) doi: 10.1016/j.chroma.2025.465944
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Molecular fingerprints for toxicity prediction
Although direct structural information may not always be available, specific structural details, such as the presence of function groups, can be obtained from MS/MS spectra using SIRIUS. These molecular fingerprints serve as crucial inputs for other predictive models, such as toxicity predictions, even when the exact identity of a compound is unknown.
A. Canchola et al. Environ. Int. (2025) doi: 10.1016/j.envint.2025.109404
SIRIUS in the Jena Experiment
In a biodiverse ecosystem, it’s often assumed that plants have safety in numbers—that a mix of species will confuse pests and dilute disease pressure, allowing individual plants to save energy on defences and focus on growth. But is this ecological truism always the case? A recent study from the long-running Jena Experiment uses untargeted metabolomics and SIRIUS for feature annotation and compound class prediction. They found that for many plants in a diverse community it is less about relaxing their defences and more about adapting to intense competition for light and nutrients.
Making small molecule annotation more accessible
SIRIUS In the Pipeline
We are absolutely honored and excited that our newest publication on our tag-free screening platform has been highlighted by Derek Lowe on his Science Magazine blog, “In the Pipeline”, about drug discovery and the pharma industry.
E. van der Nol et al. Nat. Commun. (2025) doi: 10.1038/s41467-025-65282-1
Thank you for 1K!
We just hit 1,000 followers on LinkedIn, and we are incredibly grateful for your support. Our LinkedIn page is dedicated to bringing you the latest updates on SIRIUS, from new features and exciting applications to helpful tutorials and background knowledge.
MassHunter goes SIRIUS
The newest Agilent Technologies MassHunter Explorer 2.0 release integrates direct access to advanced unknown compound elucidation with SIRIUS.
Now, you can send statistically significant features directly to SIRIUS for advanced molecular formula annotation, structure prediction, and compound classification.
SIRIUS in Space: The ISS metabolome
As we prepare for longer human missions beyond Earth, understanding the invisible ecosystems of space habitats has become critical for astronaut health. The International Space Station (ISS) is not just a home and laboratory—it is also a closed microbial and chemical environment unlike anything on Earth. This study mapped the ISS microbiome and metabolome in unprecedented detail, uncovering its vast chemical “dark matter” using SIRIUS.
Screening Massive Small Molecule Libraries for Early Drug Discovery
Our recent study co-authored by researchers at Bright Giant, FSU Jena, Leiden University and Oncode Institute introduces a major leap forward in affinity selection screening for early drug discovery: Self-Encoded Libraries. Our approach uses advanced mass spectrometry to screen hundreds of thousands of small molecules in a single experiment, bypassing the significant limitations of traditional high-throughput screening as well as affinity selection with barcoded libraries. It allows drug discovery teams to identify high-affinity drug candidates faster, more affordably, and against targets previously inaccessible to common screening methods.