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. 2026 Feb 17;98(6):4571-4584.
doi: 10.1021/acs.analchem.5c05677. Epub 2026 Feb 5.

MS/MS Mass Spectrometry Filtering Tree for Bile Acid Regio- and Stereoisomer Annotation

Affiliations

MS/MS Mass Spectrometry Filtering Tree for Bile Acid Regio- and Stereoisomer Annotation

Ipsita Mohanty et al. Anal Chem. .

Abstract

Bile acids are essential steroids with a wide range of biological roles, including the regulation of immunity, nutrient absorption, insulin signaling, appetite, and body temperature. However, due to similarities in their MS/MS spectra, spectral matching with reference MS/MS libraries generally fails to differentiate between isomers. This study introduces a proof-of-concept workflow that uses a mass spectrometry query language filtering tree to distinguish isomeric bile acids in untargeted LC-MS/MS data by leveraging intensity ratios of ions that are close to one another in the MS/MS spectrum. It can be retrospectively applied to existing LC-MS/MS data in data repositories. The filtering tree concept provides the opportunity to annotate and distinguish previously unknown bile acid isomers across LC-MS/MS data sets. To facilitate the ease of applying these filters to LC-MS/MS data sets, we developed a web-based application that simplifies the stepwise filtering tree workflow, removing the need for coding expertise. Here, we apply the multistep filtering application to a representative public data set, which revealed distinct patterns of bile acids associated with different diet types across diverse mammalian species. We further identified the previously uncharacterized bile acid deoxycholyl-N-acetyl-putrescine, which was elevated in carnivores.

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Figures

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1
MS/MS fragmentation of bile acid isomers. (a) Structure of bile acids highlighting mono-, di-, and trihydroxylated steroid cores, with experimentally observed potential hydroxylation sites on the steroid core indicated by red stars. (b) MS/MS fragmentation spectra of the regioisomers, taurochenodeoxycholic (TCDCA) acid and taurodeoxycholic acid (TDCA), illustrating a low-intensity mass region containing ions unique to each isomer. (c) Enlarged view of the MS/MS fragmentation spectra for taurochenodeoxycholic and taurodeoxycholic acids, emphasizing the ion pair used to calculate relative intensity ratios for differentiating these isomers.
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Development of MS/MS fragmentation-based MassQL filtering tree. Sequential MS/MS fragmentation-based filtering tree designed to classify regio- and stereoisomers of dihydroxylated bile acids. Structures at each filtering step are shown, with terminal bins color-coded for clarity.
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Workflow of MS/MS fragmentation-based MassQL filtering tree. Schematic diagram of the workflow for using the multistep MassQL filters for distinguishing different bile acid isomers.
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Filtering of bile acid isomers in an untargeted LC-MS/MS data set. Representative example for using the MassQL filters for identifying bile acid isomers. (a) Overview of study design. Fecal samples from herbivores (n = 3), omnivores (n = 23), and carnivores (n = 13) were analyzed by LC-MS/MS and processed using MZmine4 and FBMN on GNPS2. Stepwise MassQL filtering refined candidate bile acids from 543 features (Step 1) to 96 (Steps 2 and 3) and 49 stereo and regiochemistry assigned MS/MS spectra (Step 4). Differential abundance of bile acids between herbivores/omnivores and carnivores is illustrated in the volcano plots (b) at Step 1 and (c) Step 4 of the dihydroxy filtering tree. The annotation of a previously uncharacterized bile acid was refined from (OH)2-N-acetyl-putrescine to 3,12α-N-acetyl-putrescine.
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Structural elucidation of 3,12α-N-acetyl-putrescine using MassQL filtering and experimental validation. (a) Output from the multistep MassQL app for the candidate bile acids shown as a Sankey plot. The branch with the progressive filtering down from (OH)2-N-acetyl-putrescine to 3,12α-N-acetyl-putrescine is highlighted. The pipeline identified 3,12α-(OH)2 stereochemistry, while showing the potential ambiguity at C3 (α/β).The isomer assignment of the bile acid core was experimentally validated by (b) retention time matching of the synthetic standard of deoxycholyl-N-acetyl-putrescine, biological sample of tiger feces, and spiked sample, confirming coelution. (c) MS/MS spectral comparison of standard with biological extract yielded a cosine similarity of 0.9801. (d) The final confirmed structure, deoxycholyl-N-acetyl-putrescine (3α,12α-(OH)2), is shown with regio-and stereochemical assignments.

Update of

References

    1. Mohanty I., Mannochio-Russo H., Schweer J. V., El Abiead Y., Bittremieux W., Xing S., Schmid R., Zuffa S., Vasquez F., Muti V. B., Zemlin J., Tovar-Herrera O. E., Moraïs S., Desai D., Amin S., Koo I., Turck C. W., Mizrahi I., Kris-Etherton P. M., Petersen K. S., Fleming J. A., Huan T., Patterson A. D., Siegel D., Hagey L. R., Wang M., Aron A. T., Dorrestein P. C.. The Underappreciated Diversity of Bile Acid Modifications. Cell. 2024;187(7):1801–1818.e20. doi: 10.1016/j.cell.2024.02.019. - DOI - PMC - PubMed
    1. Collins S. L., Stine J. G., Bisanz J. E., Okafor C. D., Patterson A. D.. Bile Acids and the Gut Microbiota: Metabolic Interactions and Impacts on Disease. Nat. Rev. Microbiol. 2023;21(4):236–247. doi: 10.1038/s41579-022-00805-x. - DOI - PMC - PubMed
    1. Lamichhane S., Sen P., Dickens A. M., Alves M. A., Härkönen T., Honkanen J., Vatanen T., Xavier R. J., Hyötyläinen T., Knip M., Orešič M.. Dysregulation of Secondary Bile Acid Metabolism Precedes Islet Autoimmunity and Type 1 Diabetes. Cell Rep. Med. 2022;3(10):100762. doi: 10.1016/j.xcrm.2022.100762. - DOI - PMC - PubMed
    1. Sato Y., Atarashi K., Plichta D. R., Arai Y., Sasajima S., Kearney S. M., Suda W., Takeshita K., Sasaki T., Okamoto S., Skelly A. N., Okamura Y., Vlamakis H., Li Y., Tanoue T., Takei H., Nittono H., Narushima S., Irie J., Itoh H., Moriya K., Sugiura Y., Suematsu M., Moritoki N., Shibata S., Littman D. R., Fischbach M. A., Uwamino Y., Inoue T., Honda A., Hattori M., Murai T., Xavier R. J., Hirose N., Honda K.. Novel Bile Acid Biosynthetic Pathways Are Enriched in the Microbiome of Centenarians. Nature. 2021;599(7885):458–464. doi: 10.1038/s41586-021-03832-5. - DOI - PubMed
    1. Nie Q., Luo X., Wang K., Ding Y., Jia S., Zhao Q., Li M., Zhang J., Zhuo Y., Lin J., Guo C., Zhang Z., Liu H., Zeng G., You J., Sun L., Lu H., Ma M., Jia Y., Zheng M.-H., Pang Y., Qiao J., Jiang C.. Gut Symbionts Alleviate MASH through a Secondary Bile Acid Biosynthetic Pathway. Cell. 2024;187(11):2717–2734.e33. doi: 10.1016/j.cell.2024.03.034. - DOI - PubMed

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