Empirically establishing drug exposure records directly from untargeted metabolomics data
Status PubMed-not-MEDLINE Language English Country United States Media electronic
Document type Journal Article, Preprint
Grant support
P50 HD106463
NICHD NIH HHS - United States
U24 AG021886
NIA NIH HHS - United States
U19 AG063744
NIA NIH HHS - United States
R01 DK136117
NIDDK NIH HHS - United States
P30 MH062512
NIMH NIH HHS - United States
R37 AI126277
NIAID NIH HHS - United States
F32 AT011475
NCCIH NIH HHS - United States
U24 DK133658
NIDDK NIH HHS - United States
PubMed
39416075
PubMed Central
PMC11482764
DOI
10.1101/2024.10.07.617109
PII: 2024.10.07.617109
Knihovny.cz E-resources
- Publication type
- Journal Article MeSH
- Preprint MeSH
Despite extensive efforts, extracting information on medication exposure from clinical records remains challenging. To complement this approach, we developed the tandem mass spectrometry (MS/MS) based GNPS Drug Library. This resource integrates MS/MS data for drugs and their metabolites/analogs with controlled vocabularies on exposure sources, pharmacologic classes, therapeutic indications, and mechanisms of action. It enables direct analysis of drug exposure and metabolism from untargeted metabolomics data independent of clinical records. Our library facilitates stratification of individuals in clinical studies based on the empirically detected medications, exemplified by drug-dependent microbiota-derived N-acyl lipid changes in a cohort with human immunodeficiency virus. The GNPS Drug Library holds potential for broader applications in drug discovery and precision medicine.
Center for Microbiome Innovation University of California San Diego La Jolla CA USA
Chiba University UC San Diego Center for Mucosal Immunology Allergy and Vaccines La Jolla CA USA
Current address Biological Sciences Division Pacific Northwest National Laboratory Richland WA USA
Department of Bioengineering University of California San Diego La Jolla California USA
Department of Biological Sciences University of Alberta Edmonton AB T6G 2E9 Canada
Department of Computer Science and Engineering University of California Riverside Riverside CA USA
Department of Computer Science and Engineering University of California San Diego La Jolla CA USA
Department of Computer Science University of Antwerp Antwerp Belgium
Department of Computing Science University of Alberta Edmonton AB T6G 2E8 Canada
Department of Medicinal Chemistry University of Washington Seattle WA USA
Department of Medicine Duke University Durham NC USA
Department of Medicine University of California San Diego La Jolla CA USA
Department of Microbiology and Cell Sciences University of Florida Museum Drive Gainesville FL USA
Department of Neurosciences University of California San Diego La Jolla CA USA
Department of Pediatrics University of California San Diego La Jolla CA USA
Department of Pharmacy University of Oslo Oslo Norway
Department of Psychiatry and Behavioral Sciences Duke University Durham NC 27708 USA
Department of Psychiatry University of California San Diego La Jolla CA USA
Duke Institute of Brain Sciences Duke University Durham NC USA
Faculty of Chemistry Federal University of Para Belem PA Brazil
Halicioğlu Data Science Institute University of California San Diego La Jolla CA USA
HIV Neurobehavioral Research Program University of California San Diego La Jolla CA USA
Scripps Institution of Oceanography University of California San Diego La Jolla CA USA
Shu Chien Gene Lay Department of Bioengineering University of California San Diego La Jolla CA USA
See more in PubMed
Vermeulen R., Schymanski E. L., Barabási A.-L. & Miller G. W. The exposome and health: Where chemistry meets biology. Science 367, 392–396 (2020). PubMed PMC
National Center for Health Statistics (U.S.), Health, United States, 2019 (U.S. Centers for Disease Control and Prevention, 2021).
Rappaport S. M., Barupal D. K., Wishart D., Vineis P. & Scalbert A. The blood exposome and its role in discovering causes of disease. Environ. Health Perspect. 122, 769–774 (2014). PubMed PMC
de la Cuesta-Zuluaga J., Boldt L. & Maier L. Response, resistance, and recovery of gut bacteria to human-targeted drug exposure. Cell Host Microbe 32, 786–793 (2024). PubMed
Verdegaal A. A. & Goodman A. L. Integrating the gut microbiome and pharmacology. Sci. Transl. Med. 16, eadg8357 (2024). PubMed PMC
Vich Vila A. et al. Impact of commonly used drugs on the composition and metabolic function of the gut microbiota. Nat. Commun. 11, 362 (2020). PubMed PMC
Maier L. et al. Extensive impact of non-antibiotic drugs on human gut bacteria. Nature 555, 623–628 (2018). PubMed PMC
Sinnott S.-J., Polinski J. M., Byrne S. & Gagne J. J. Measuring drug exposure: concordance between defined daily dose and days’ supply depended on drug class. J. Clin. Epidemiol. 69, 107–113 (2016). PubMed PMC
Althubaiti A. Information bias in health research: definition, pitfalls, and adjustment methods. J. Multidiscip. Healthc. 9, 211–217 (2016). PubMed PMC
Gong Y. et al. Over-the-counter antibiotic sales in community and online pharmacies, China. Bull. World Health Organ. 98, 449–457 (2020). PubMed PMC
Mackey T. K. et al. Multifactor quality and safety analysis of antimicrobial drugs sold by online pharmacies that do not require a prescription: Multiphase observational, content analysis, and product evaluation study. JMIR Public Health Surveill. 8, e41834 (2022). PubMed PMC
Essigmann H. T. et al. Epidemiology of antibiotic use and drivers of cross-border procurement in a Mexican American border community. Front. Public Health 10, (2022). PubMed PMC
Walmsley B. et al. The PrEP You Want: A web-based survey of online cross-border shopping for HIV prophylaxis medications. J. Med. Internet Res. 21, e12076 (2019). PubMed PMC
Vauquelin G. & Charlton S. J. Long-lasting target binding and rebinding as mechanisms to prolong in vivo drug action. Br. J. Pharmacol. 161, 488–508 (2010). PubMed PMC
Copeland R. A. The drug–target residence time model: a 10-year retrospective. Nat. Rev. Drug Discov. 15, 87–95 (2016). PubMed
Wishart D. S. et al. DrugBank: a comprehensive resource for in silico drug discovery and exploration. Nucleic Acids Res. 34, D668–D672 (2006). PubMed PMC
Wishart D. S. et al. DrugBank 5.0: a major update to the DrugBank database for 2018. Nucleic Acids Res. 46, D1074–D1082 (2018). PubMed PMC
Ursu O. et al. DrugCentral: online drug compendium. Nucleic Acids Res. 45, D932–D939 (2017). PubMed PMC
DailyMed. https://dailymed.nlm.nih.gov/dailymed/index.cfm.
Kanehisa M., Furumichi M., Tanabe M., Sato Y. & Morishima K. KEGG: new perspectives on genomes, pathways, diseases and drugs. Nucleic Acids Res. 45, D353–D361 (2017). PubMed PMC
Wan M. et al. TnT-LLM: Text mining at scale with large language models. Preprint at 10.48550/arXiv.2403.12173 (2024). DOI
Thirunavukarasu A. J. et al. Large language models in medicine. Nat. Med. 29, 1930–1940 (2023). PubMed
Clusmann J. et al. The future landscape of large language models in medicine. Commun. Med. 3, 1–8 (2023). PubMed PMC
Prakash C., Shaffer C. L. & Nedderman A. Analytical strategies for identifying drug metabolites. Mass Spectrom. Rev. 26, 340–369 (2007). PubMed
Wang M. et al. Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking. Nat. Biotechnol. 34, 828–837 (2016). PubMed PMC
Brungs C. et al. Efficient generation of open multi-stage fragmentation mass spectral libraries. Preprint at 10.26434/chemrxiv-2024-l1tqh (2024). DOI
Kim S. et al. PubChem 2023 update. Nucleic Acids Res. 51, D1373–D1380 (2023). PubMed PMC
Corsello S. M. et al. The Drug Repurposing Hub: a next-generation drug library and information resource. Nat. Med. 23, 405–408 (2017). PubMed PMC
Zdrazil B. et al. The ChEMBL Database in 2023: a drug discovery platform spanning multiple bioactivity data types and time periods. Nucleic Acids Res. 52, D1180–D1192 (2024). PubMed PMC
Nahler G. Anatomical therapeutic chemical classification system (ATC). in Dictionary of Pharmaceutical Medicine 8–8 (Springer, Vienna, 2009).
Ross D. H., Seguin R. P., Krinsky A. M. & Xu L. High-throughput measurement and machine learning-based prediction of collision cross sections for drugs and drug metabolites. J. Am. Soc. Mass Spectrom. 33, 1061–1072 (2022). PubMed PMC
Shahneh M. R. Z. et al. ModiFinder: Tandem mass spectral alignment enables structural modification site localization. J. Am. Soc. Mass Spectrom. (2024). PubMed PMC
McDonald D. et al. American Gut: an open platform for citizen science microbiome research. mSystems 3, e00031–18 (2018). PubMed PMC
Products - Data Briefs - Number 347 - August 2019. https://www.cdc.gov/nchs/products/databriefs/db347.htm (2019).
Helms P. J., Ekins Daukes S., Taylor M. W., Simpson C. R. & McLay J. S. Utility of routinely acquired primary care data for paediatric disease epidemiology and pharmacoepidemiology. Br. J. Clin. Pharmacol. 59, 684–690 (2005). PubMed PMC
Isacson D. & Bingefors K. Epidemiology of analgesic use: a gender perspective. Eur. J. Anaesthesiol. Suppl. 26, 5–15 (2002). PubMed
Anthony M. et al. Gender and age differences in medications dispensed from a national chain drugstore. J. Womens Health 17, 735–743 (2008). PubMed
Quinn R. A. et al. Molecular networking as a drug discovery, drug metabolism, and precision medicine strategy. Trends Pharmacol. Sci. 38, 143–154 (2017). PubMed
Chen L. et al. Metabolite discovery through global annotation of untargeted metabolomics data. Nat. Methods 18, 1377–1385 (2021). PubMed PMC
Yu N. et al. Nontarget discovery of antimicrobial transformation products in wastewater based on molecular networks. Environ. Sci. Technol. 57, 8335–8346 (2023). PubMed
Bittremieux W. et al. Open access repository-scale propagated nearest neighbor suspect spectral library for untargeted metabolomics. Nat. Commun. 14, 8488 (2023). PubMed PMC
Wang M. et al. Mass spectrometry searches using MASST. Nat. Biotechnol. 38, 23–26 (2020). PubMed PMC
Mongia M. et al. Fast mass spectrometry search and clustering of untargeted metabolomics data. Nat. Biotechnol. 1–6 (2024). PubMed
Creasy D. M. & Cottrell J. S. Unimod: Protein modifications for mass spectrometry. Proteomics 4, 1534–1536 (2004). PubMed
Kolodnitsky A. S., Ionov N. S., Rudik A. V., Filimonov D. A. & Poroikov Vladimir. V. HGMMX: Host Gut Microbiota Metabolism Xenobiotics Database. J. Chem. Inf. Model. 63, 6463–6468 (2023). PubMed
Keller B. O., Sui J., Young A. B. & Whittal R. M. Interferences and contaminants encountered in modern mass spectrometry. Anal. Chim. Acta 627, 71–81 (2008). PubMed
Wishart D. S. et al. ChemFOnt: the chemical functional ontology resource. Nucleic Acids Res. 51, D1220–D1229 (2023). PubMed PMC
Panitchpakdi M. et al. Non-invasive skin sampling detects systemically administered drugs in humans. PloS One 17, e0271794 (2022). PubMed PMC
Scavone J. M., Greenblatt D. J., Harmatz J. S., Engelhardt N. & Shader R. I. Pharmacokinetics and pharmacodynamics of diphenhydramine 25 mg in young and elderly volunteers. J. Clin. Pharmacol. 38, 603–609 (1998). PubMed
Jarmusch A. K. et al. Enhanced characterization of drug metabolism and the influence of the intestinal microbiome: A pharmacokinetic, microbiome, and untargeted metabolomics study. Clin. Transl. Sci. 13, 972–984 (2020). PubMed PMC
Jarmusch A. K. et al. ReDU: a framework to find and reanalyze public mass spectrometry data. Nat. Methods 17, 901–904 (2020). PubMed PMC
Audi S. et al. The ‘top 100’ drugs and classes in England: an updated ‘starter formulary’ for trainee prescribers. Br. J. Clin. Pharmacol. 84, 2562–2571 (2018). PubMed PMC
Fuentes A. V., Pineda M. D. & Venkata K. C. N. Comprehension of top 200 prescribed drugs in the US as a resource for pharmacy teaching, training and practice. Pharm. J. Pharm. Educ. Pract. 6, 43 (2018). PubMed PMC
Wylie C. E., Daniels B., Brett J., Pearson S.-A. & Buckley N. A. A national study on prescribed medicine use in Australia on a typical day. Pharmacoepidemiol. Drug Saf. 29, 1046–1053 (2020). PubMed
Winston A. & Spudich S. Cognitive disorders in people living with HIV. Lancet HIV 7, e504–e513 (2020). PubMed
Arseniou S., Arvaniti A. & Samakouri M. HIV infection and depression. Psychiatry Clin. Neurosci. 68, 96–109 (2014). PubMed
Donati K. de G. Rabagliati R. Iacoviello L. & Cauda R. HIV infection, HAART, and endothelial adhesion molecules: current perspectives. Lancet Infect. Dis. 4, 213–222 (2004). PubMed
Heaton R. K. et al. Twelve-year neurocognitive decline in HIV is associated with comorbidities, not age: a CHARTER study. Brain J. Neurol. 146, 1121–1131 (2023). PubMed PMC
Schmid R. et al. Ion identity molecular networking for mass spectrometry-based metabolomics in the GNPS environment. Nat. Commun. 12, 3832 (2021). PubMed PMC
Cheng A. G. et al. Design, construction, and in vivo augmentation of a complex gut microbiome. Cell 185, 3617–3636.e19 (2022). PubMed PMC
Olbe L., Carlsson E. & Lindberg P. A proton-pump inhibitor expedition: the case histories of omeprazole and esomeprazole. Nat. Rev. Drug Discov. 2, 132–139 (2003). PubMed
Boix C., Ibáñez M., Sancho J. V., Niessen W. M. A. & Hernández F. Investigating the presence of omeprazole in waters by liquid chromatography coupled to low and high resolution mass spectrometry: degradation experiments. J. Mass Spectrom. 48, 1091–1100 (2013). PubMed
Mathew M., Gupta V. D. & Bailey R. E. Stability of omeprazole solutions at various ph values as determined by high-performance liquid chromatography. Drug Dev. Ind. Pharm. 21, 965–971 (1995).
Gentry E. C. et al. Reverse metabolomics for the discovery of chemical structures from humans. Nature 626, 419–426 (2024). PubMed PMC
Chang F.-Y. et al. Gut-inhabiting Clostridia build human GPCR ligands by conjugating neurotransmitters with diet- and human-derived fatty acids. Nat. Microbiol. 6, 792–805 (2021). PubMed
Mann A. et al. Palmitoyl serine: An endogenous neuroprotective endocannabinoid-like entity after traumatic brain injury. J. Neuroimmune Pharmacol. 10, 356–363 (2015). PubMed
Grevengoed T. J. et al. PubMed PMC
Waluk D. P., Vielfort K., Derakhshan S., Aro H. & Hunt M. C. PubMed
Aichler M. et al. PubMed
Mannochio-Russo H. et al. The microbiome diversifies PubMed
Inciarte A. et al. Post-exposure prophylaxis for HIV infection in sexual assault victims. HIV Med. 21, 43–52 (2020). PubMed PMC
Kamitani E. et al. Growth in proportion and disparities of HIV PrEP use among key populations identified in the United States national goals: systematic review and meta-analysis of published surveys. J. Acquir. Immune Defic. Syndr. 84, 379 (2020). PubMed PMC
Walmsley S. L. et al. Dolutegravir plus abacavir-lamivudine for the treatment of HIV-1 infection. N. Engl. J. Med. 369, 1807–1818 (2013). PubMed
Clotet B. et al. Efficacy and safety of darunavir-ritonavir at week 48 in treatment-experienced patients with HIV-1 infection in POWER 1 and 2: a pooled subgroup analysis of data from two randomised trials. Lancet Lond. Engl. 369, 1169–1178 (2007). PubMed
Huhn G. D. et al. Darunavir/cobicistat/emtricitabine/tenofovir alafenamide in a rapid-initiation model of care for human immunodeficiency virus type 1 infection: Primary analysis of the DIAMOND study. Clin. Infect. Dis. 71, 3110–3117 (2020). PubMed PMC
Sax P. E. et al. Abacavir–lamivudine versus tenofovir–emtricitabine for initial HIV-1 therapy. N. Engl. J. Med. 361, 2230–2240 (2009). PubMed PMC
Sumner L. W. et al. Proposed minimum reporting standards for chemical analysis Chemical Analysis Working Group (CAWG) Metabolomics Standards Initiative (MSI). Metabolomics 3, 211–221 (2007). PubMed PMC
Bajusz D., Rácz A. & Héberger K. Why is Tanimoto index an appropriate choice for fingerprint-based similarity calculations? J. Cheminformatics 7, 20 (2015). PubMed PMC
Bento A. P. et al. An open source chemical structure curation pipeline using RDKit. J. Cheminformatics 12, 51 (2020). PubMed PMC
Zuffa S. et al. microbeMASST: a taxonomically informed mass spectrometry search tool for microbial metabolomics data. Nat. Microbiol. 9, 336–345 (2024). PubMed PMC
Bittremieux W. et al. Universal MS/MS visualization and retrieval with the metabolomics spectrum resolver web service. Preprint at 10.1101/2020.05.09.086066 (2020). DOI
Bittremieux W., Laukens K., Noble W. S. & Dorrestein P. C. Large-scale tandem mass spectrum clustering using fast nearest neighbor searching. Rapid Commun. Mass Spectrom. e9153 (2021). PubMed PMC
Schmid R. et al. Integrative analysis of multimodal mass spectrometry data in MZmine 3. Nat. Biotechnol. 1–3 (2023). PubMed PMC
Nothias L.-F. et al. Feature-based molecular networking in the GNPS analysis environment. Nat. Methods 17, 905–908 (2020). PubMed PMC
McDonald D. et al. Extreme Dysbiosis of the Microbiome in Critical Illness. mSphere 1, e00199–16 (2016). PubMed PMC
Brennan C. et al. Clearing the plate: a strategic approach to mitigate well-to-well contamination in large-scale microbiome studies. mSystems 0, e00985–24 (2024). PubMed PMC
Chambers M. C. et al. A cross-platform toolkit for mass spectrometry and proteomics. Nat. Biotechnol. 30, 918–920 (2012). PubMed PMC