Circadian rhythms regulate key physiological processes through clock genes in central and peripheral tissues. While circadian gene expression during development has been well studied, the temporal dynamics of metabolism across tissues remain less understood. Here, we present the Circadian Ontogenetic Metabolomics Atlas (COMA), which maps circadian metabolic rhythms across 16 rat anatomical structures. The brain (suprachiasmatic nuclei, medial prefrontal cortex) and periphery (liver, plasma) span developmental stages from embryonic E19 to postnatal P2, P10, P20, and P28. Fecal samples include all four postnatal stages, while additional peripheral tissues were analyzed at P20 and P28. Using a multiplatform liquid chromatography-mass spectrometry approach, we annotated 851 metabolites from 1610 samples. We identified distinct circadian shifts, particularly during the transition from nursing to solid food intake (P10-P20), with an average of 24% of metabolites exhibiting circadian oscillations across sample types, as determined by JTK_CYCLE. Our study also underscores the importance of standardized sampling, as metabolite intensities fluctuate with both circadian rhythms and development. COMA serves as an open-access resource ( https://coma.metabolomics.fgu.cas.cz ) for exploring circadian metabolic regulation and its role in developmental biology.

• Klíčová slova
• Atlas, Circadian rhythm, Lipidomics, Metabolomics, Resource,
• MeSH
• chromatografie kapalinová MeSH
• cirkadiánní rytmus * fyziologie   MeSH
• feces * chemie   MeSH
• játra metabolismus   MeSH
• krysa rodu Rattus MeSH
• metabolom * MeSH
• metabolomika * metody   MeSH
• zvířata MeSH
• Check Tag
• krysa rodu Rattus MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• zvířata MeSH
• Publikační typ
• časopisecké články MeSH

Liquid chromatography with mass spectrometry (LC-MS)-based metabolomics detects thousands of molecular features (retention time-m/z pairs) in biological samples per analysis, yet the metabolite annotation rate remains low, with 90% of signals classified as unknowns. To enhance the metabolite annotation rates, researchers employ tandem mass spectral libraries and challenging in silico fragmentation software. Hydrogen/deuterium exchange mass spectrometry (HDX-MS) may offer an additional layer of structural information in untargeted metabolomics, especially for identifying specific unidentified metabolites that are revealed to be statistically significant. Here, we investigate the potential of hydrophilic interaction liquid chromatography (HILIC)-HDX-MS in untargeted metabolomics. Specifically, we evaluate the effectiveness of two approaches using hypothetical targets: the post-column addition of deuterium oxide (D2O) and the on-column HILIC-HDX-MS method. To illustrate the practical application of HILIC-HDX-MS, we apply this methodology using the in silico fragmentation software MS-FINDER to an unknown compound detected in various biological samples, including plasma, serum, tissues, and feces during HILIC-MS profiling, subsequently identified as N1-acetylspermidine.

• Klíčová slova
• hydrogen/deuterium exchange, liquid chromatography, mass spectrometry, metabolomics, unknown identification,
• MeSH
• chromatografie kapalinová metody   MeSH
• deuterium MeSH
• hydrofobní a hydrofilní interakce MeSH
• metabolomika * metody   MeSH
• vodík/deuteriová výměna a hmotnostní spektrometrie * MeSH
• Publikační typ
• časopisecké články MeSH
• Názvy látek
• deuterium MeSH