High-throughput transcriptomics of 409 bacteria–drug pairs reveals drivers of gut microbiota perturbation
Open accessAbstract
Many drugs can perturb the gut microbiome, potentially leading to negative health consequences. However, mechanisms of most microorganism-drug responses have not been elucidated at the genetic level. Using high-throughput bacterial transcriptomics, we systematically characterized the gene expression profiles of prevalent human gut bacteria exposed to the most frequently prescribed orally administered pharmaceuticals. Across >400 drug-microorganism pairs, significant and reproducible transcriptional responses were observed, including pathways involved in multidrug resistance, metabolite transport, tartrate metabolism and riboflavin biosynthesis. Importantly, we discovered that statin-mediated upregulation of the AcrAB-TolC efflux pump in Bacteroidales species enhances microbial sensitivity to vitamin A and secondary bile acids. Moreover, gut bacteria carrying acrAB-tolC genes are depleted in patients taking simvastatin, suggesting that drug-efflux interactions generate collateral toxicity that depletes pump-containing microorganisms from patient microbiomes. This study provides a resource to further understand the drivers of drug-mediated microbiota shifts for better informed clinical interventions.
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Bacteroides appear particularly susceptible to non-antibiotic toxicities, and agents like simvastatin can downregulate bacterial riboflavin biosynthesis.
“Bacteroides appear particularly susceptible to non-antibiotic toxicities, and agents like simvastatin can downregulate bacterial riboflavin biosynthesis.100”
From Gut dysbiosis in oncology: a risk factor for immunoresistance (2026) · cites this paper as [100]
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Basic local alignment search tool
Altschul, S. F., Gish, W., Miller, W., Myers, E. W., & Lipman, D. J. (1990) · Journal of Molecular Biology · doi:10.1006/jmbi.1990.9999 · Cited by 98,669 · see citing works
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106 · see citing works
Fast gapped-read alignment with Bowtie 2
Langmead, B., & Salzberg, S. L. (2012) · Nature Methods · doi:10.1038/nmeth.1923 · Cited by 56,400 · see citing works
KEGG: Kyoto Encyclopedia of Genes and Genomes
Kanehisa, M. (2000) · Nucleic Acids Research · doi:10.1093/nar/28.1.27 · Cited by 37,077 · see citing works
Cutadapt removes adapter sequences from high-throughput sequencing reads
Martin, M. (2011) · EMBnet.journal · doi:10.14806/ej.17.1.200 · Cited by 33,889 · see citing works
featureCounts: an efficient general purpose program for assigning sequence reads to genomic features
Liao, Y., Smyth, G. K., & Shi, W. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btt656 · Cited by 27,219 · see citing works
Prokka: rapid prokaryotic genome annotation
Seemann, T. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu153 · Cited by 18,512 · see citing works
Turnbaugh, P. J., Ley, R. E., Hamady, M., Fraser-Liggett, C. M., Knight, R., & Gordon, J. I. (2007) · Nature · doi:10.1038/nature06244 · Cited by 6,091 · see citing works
Gut microbiome modulates response to anti-PD-1 immunotherapy in melanoma patients
Gopalakrishnan, V., Spencer, C. N., Nezi, L., Reuben, A., Andrews, M. C., Karpinets, T. V., Prieto, P. A., Vicente, D., Hoffman, K., Wei, S. C., et al. (2018) · Science · doi:10.1126/science.aan4236 · Cited by 4,812 · cited 3× · see citing works
“For instance, depletions in gut bacterial diversity have been linked to worse outcomes in immunotherapy drug trials 13 and higher susceptibility to infection by pathogens such as Clostridioides difficile 14 .”
High blood pressure and cardiovascular disease
Fuchs, F. D., & Whelton, P. K. (2020) · Hypertension · doi:10.1161/hypertensionaha.119.14240 · Cited by 1,948 · see citing works
Extensive impact of non-antibiotic drugs on human gut bacteria
Maier, L., Pruteanu, M., Kuhn, M., Zeller, G., Telzerow, A., Anderson, E. E., Brochado, A. R., Fernandez, K. C., Dose, H., Mori, H., et al. (2018) · Nature · doi:10.1038/nature25979 · Cited by 1,905 · see citing works
Parker, B. J., Wearsch, P. A., Veloo, A. C. M., & Rodriguez‐Palacios, A. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.00906 · Cited by 1,732 · see citing works
Pasolli, E., Asnicar, F., Manara, S., Zolfo, M., Karcher, N., Armanini, F., Beghini, F., Manghi, P., Tett, A., Ghensi, P., et al. (2019) · Cell · doi:10.1016/j.cell.2019.01.001 · Cited by 1,591 · see citing works
The Influence of the Gut Microbiome on Cancer, Immunity, and Cancer Immunotherapy
Gopalakrishnan, V., Helmink, B. A., Spencer, C. N., Reuben, A., & Wargo, J. A. (2018) · Cancer Cell · doi:10.1016/j.ccell.2018.03.015 · Cited by 1,392 · see citing works
Mapping human microbiome drug metabolism by gut bacteria and their genes
Zimmermann, M., Zimmermann-Kogadeeva, M., Wegmann, R., & Goodman, A. L. (2019) · Nature · doi:10.1038/s41586-019-1291-3 · Cited by 1,160 · see citing works
Cost-effective, high-throughput DNA sequencing libraries for multiplexed target capturePreprint
Rohland, N., & Reich, D. (2012) · Genome Research · doi:10.1101/gr.128124.111 · Cited by 1,159 · see citing works
Multidrug efflux pumps: structure, function and regulation
Du, D., Wang‐Kan, X., Neuberger, A., van Veen, H. W., Pos, K. M., Piddock, L. J. V., & Luisi, B. F. (2018) · Nature Reviews Microbiology · doi:10.1038/s41579-018-0048-6 · Cited by 1,063 · see citing works
Proton pump inhibitors alter the composition of the gut microbiota
Jackson, M. A., Goodrich, J. K., Maxan, M.-E., Freedberg, D. E., Abrams, J. A., Poole, A. C., Sutter, J. L., Welter, D., Ley, R. E., Bell, J. T., et al. (2016) · Gut · doi:10.1136/gutjnl-2015-310861 · Cited by 895 · see citing works
Okusu, H., Ma, D., & Nikaido, H. (1996) · Journal of Bacteriology · doi:10.1128/jb.178.1.306-308.1996 · Cited by 818 · see citing works
Discovery and inhibition of an interspecies gut bacterial pathway for Levodopa metabolism
Maini Rekdal, V., Bess, E. N., Bisanz, J. E., Turnbaugh, P. J., & Balskus, E. P. (2019) · Science · doi:10.1126/science.aau6323 · Cited by 753 · see citing works
Bacterial multidrug efflux pumps: Mechanisms, physiology and pharmacological exploitations
Sun, J., Deng, Z., & Yan, A. (2014) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2014.05.090 · Cited by 747 · see citing works
Enhancement of the gut barrier integrity by a microbial metabolite through the Nrf2 pathway
Singh, R., Chandrashekharappa, S., Bodduluri, S. R., Baby, B. V., Hegde, B., Kotla, N. G., Hiwale, A. A., Saiyed, T., Patel, P., Vijay-Kumar, M., et al. (2019) · Nature Communications · doi:10.1038/s41467-018-07859-7 · Cited by 713 · see citing works
Haiser, H. J., Gootenberg, D. B., Chatman, K., Sirasani, G., Balskus, E. P., & Turnbaugh, P. J. (2013) · Science · doi:10.1126/science.1235872 · Cited by 704 · see citing works
Efflux-mediated multiresistance in Gram-negative bacteria
Poole, K. (2004) · Clinical Microbiology and Infection · doi:10.1111/j.1469-0691.2004.00763.x · Cited by 612 · see citing works
Metabolism of Dietary and Microbial Vitamin B Family in the Regulation of Host Immunity
Yoshii, K., Hosomi, K., Sawane, K., & Kunisawa, J. (2019) · Frontiers in Nutrition · doi:10.3389/fnut.2019.00048 · Cited by 573 · see citing works
Understanding the mechanisms of faecal microbiota transplantation
Khoruts, A., & Sadowsky, M. J. (2016) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2016.98 · Cited by 563 · see citing works
Statin therapy is associated with lower prevalence of gut microbiota dysbiosis
Vieira‐Silva, S., Falony, G., Belda, E., Nielsen, T., Aron‐Wisnewsky, J., Chakaroun, R., Forslund, S. K., Assmann, K. E., Valles‐Colomer, M., Nguyen, T. T. D., et al. (2020) · Nature · doi:10.1038/s41586-020-2269-x · Cited by 492 · see citing works
Colonic transit time is related to bacterial metabolism and mucosal turnover in the gut
Roager, H. M., Hansen, L. B. S., Bahl, M. I., Frandsen, H. L., Carvalho, V., Gøbel, R. J., Dalgaard, M. D., Plichta, D. R., Sparholt, M. H., Vestergaard, H., et al. (2016) · Nature Microbiology · doi:10.1038/nmicrobiol.2016.93 · Cited by 449 · see citing works
Separating host and microbiome contributions to drug pharmacokinetics and toxicity
Zimmermann, M., Zimmermann‐Kogadeeva, M., Wegmann, R., & Goodman, A. L. (2019) · Science · doi:10.1126/science.aat9931 · Cited by 427 · see citing works
Ma, D., Alberti, M., Lynch, C., Nikaido, H., & Hearst, J. E. (1996) · Molecular Microbiology · doi:10.1046/j.1365-2958.1996.357881.x · Cited by 390 · see citing works
Mimee, M., Tucker, A. C., Voigt, C. A., & Lu, T. K. (2015) · Cell Systems · doi:10.1016/j.cels.2015.06.001 · Cited by 387 · see citing works
Fuentes, A., Pineda, M., & Venkata, K. C. N. (2018) · Pharmacy · doi:10.3390/pharmacy6020043 · Cited by 338 · see citing works
Bioaccumulation of therapeutic drugs by human gut bacteria
Klünemann, M., Andrejev, S., Blasche, S., Mateus, A., Phapale, P. B., Devendran, S., Vappiani, J., Simon, B., Scott, T. A., Kafkia, E., et al. (2021) · Nature · doi:10.1038/s41586-021-03891-8 · Cited by 337 · see citing works
Genome-scale metabolic reconstruction of 7,302 human microorganisms for personalized medicine
Heinken, A., Hertel, J., Acharya, G., Ravcheev, D. A., Nyga, M., Okpala, O. E., Hogan, M., Magnúsdóttir, S., Martinelli, F., Nap, B., et al. (2023) · Nature Biotechnology · doi:10.1038/s41587-022-01628-0 · Cited by 297 · see citing works
The distribution of bacterial doubling times in the wild
Gibson, B., Wilson, D. J., Feil, E. J., & Eyre‐Walker, A. (2018) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2018.0789 · Cited by 290 · see citing works
Simultaneous generation of many RNA-seq libraries in a single reaction
Shishkin, A. A., Giannoukos, G., Küçükural, A., Ciulla, D., Busby, M., Surka, C., Chen, J., Bhattacharyya, R. P., Rudy, R. F., Patel, M. M., et al. (2015) · Nature Methods · doi:10.1038/nmeth.3313 · Cited by 282 · see citing works
Nikaido, H., Basina, M., Nguyen, V., & Rosenberg, E. Y. (1998) · Journal of Bacteriology · doi:10.1128/jb.180.17.4686-4692.1998 · Cited by 224 · see citing works
RNA snap ™: a rapid, quantitative and inexpensive, method for isolating total RNA from bacteria
Stead, M. B., Agrawal, A., Bowden, K. E., Nasir, R., Mohanty, B. K., Meagher, R. B., & Kushner, S. R. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks680 · Cited by 199 · see citing works
<i>Escherichia coli</i> Residency in the Gut of Healthy Human Adults
Martinson, J. N. V., & Walk, S. T. (2020) · EcoSal Plus · doi:10.1128/ecosalplus.esp-0003-2020 · Cited by 197 · see citing works
Insights into endogenous Bifidobacterium species in the human gut microbiota during adulthood
Derrien, M., Turroni, F., Ventura, M., & van Sinderen, D. (2022) · Trends in Microbiology · doi:10.1016/j.tim.2022.04.004 · Cited by 183 · see citing works
Nagata, N., Nishijima, S., Miyoshi-Akiyama, T., Kojima, Y., Kimura, M., Aoki, R., Ohsugi, M., Ueki, K., Miki, K., Iwata, E., et al. (2022) · Gastroenterology · doi:10.1053/j.gastro.2022.06.070 · Cited by 178 · see citing works
Drug-Driven Phenotypic Convergence Supports Rational Treatment Strategies of Chronic Infections
Imamovic, L., Ellabaan, M. M. H., Machado, A. M. D., Citterio, L., Wulff, T., Molin, S., Johansen, H. K., & Sommer, M. O. A. (2018) · Cell · doi:10.1016/j.cell.2017.12.012 · Cited by 165 · see citing works
Metformin interferes with bile acid homeostasis through AMPK-FXR crosstalk
Lien, F., Berthier, A., Bouchaert, E., Gheeraert, C., Alexandre, J., Porez, G., Prawitt, J., Dehondt, H., Ploton, M., Colin, S., et al. (2014) · Journal of Clinical Investigation · doi:10.1172/jci68815 · Cited by 151 · see citing works
Single-cell approaches in human microbiome research
Lloréns‐Rico, V., Simcock, J. A., Huys, G. R. B., & Raes, J. (2022) · Cell · doi:10.1016/j.cell.2022.06.040 · Cited by 139 · see citing works
Metatranscriptomics for the Human Microbiome and Microbial Community Functional Profiling
Zhang, Y., Thompson, K. N., Branck, T. A., Yan, Y., Nguyen, L. H., Franzosa, E. A., & Huttenhower, C. (2021) · Annual Review of Biomedical Data Science · doi:10.1146/annurev-biodatasci-031121-103035 · Cited by 137 · see citing works
Host and gut bacteria share metabolic pathways for anti-cancer drug metabolism
Spanogiannopoulos, P., Kyaw, T. S., Guthrie, B. G. H., Bradley, P. H., Lee, J. V., Melamed, J., Malig, Y. N. A., Lam, K. N., Gempis, D., Sandy, M., et al. (2022) · Nature Microbiology · doi:10.1038/s41564-022-01226-5 · Cited by 127 · see citing works
Sandberg, A., Blomqvist, I., Jonsson, U. E., et al. (1988) · European Journal of Clinical Pharmacology · doi:10.1007/bf00578406 · Cited by 127 · see citing works
Macrolides: From Toxins to Therapeutics
Lenz, K. D., Klosterman, K. E., Mukundan, H., & Kubicek-Sutherland, J. Z. (2021) · Toxins · doi:10.3390/toxins13050347 · Cited by 124 · see citing works
Jang, S. (2023) · BMB Reports · doi:10.5483/bmbrep.2023-0070 · Cited by 119 · see citing works
Antidepressants can induce mutation and enhance persistence toward multiple antibiotics
Wang, Y., Yu, Z., Ding, P., Lu, J., Mao, L., Ngiam, L., Yuan, Z., Engelstädter, J., Schembri, M. A., & Guo, J. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2208344120 · Cited by 115 · see citing works
Human gut Bacteroides capture vitamin B12 via cell surface-exposed lipoproteins
Wexler, A. G., Schofield, W. B., Degnan, P. H., Folta‐Stogniew, E. J., Barry, N. A., & Goodman, A. L. (2018) · eLife · doi:10.7554/elife.37138 · Cited by 92 · see citing works
Bajaj, J. S., Sikaroodi, M., Fagan, A., Heuman, D. M., Gilles, H., Gavis, E. A., Fuchs, M. A., González‐Maeso, J., Nizam, S., Gillevet, P. M., et al. (2019) · American Journal of Physiology-Gastrointestinal and Liver Physiology · doi:10.1152/ajpgi.00194.2019 · Cited by 81 · see citing works
Wu, Y., Zhang, L., Li, S., & Zhang, D. (2021) · Nutrition Reviews · doi:10.1093/nutrit/nuab014 · Cited by 80 · see citing works
Bacterial transcription factors involved in global regulation
Vicente, M., Chater, K. F., & de Lorenzo, V. (1999) · Molecular Microbiology · doi:10.1046/j.1365-2958.1999.01445.x · Cited by 63 · see citing works
Proffitt, C., Bidkhori, G., Lee, S., Tebani, A., Mardinoğlu, A., Uhlén, M., Moyes, D. L., & Shoaie, S. (2022) · iScience · doi:10.1016/j.isci.2022.104513 · Cited by 55 · see citing works
Scalable and cost-effective ribonuclease-based rRNA depletion for transcriptomics
Huang, Y., Sheth, R. U., Kaufman, A., & Wang, H. H. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz1169 · Cited by 55 · see citing works
Self-citationCai, L., Wu, H., Li, D., Zhou, K., & Zou, F. (2015) · PLoS ONE · doi:10.1371/journal.pone.0140827 · Cited by 54 · see citing works
Zhu, Z., Surujon, D., Ortiz-Marquez, J. C. F., Wood, S. J., Huo, W., Isberg, R. R., Bento, J., & van Opijnen, T. (2020) · Nature Communications · doi:10.1038/s41467-020-18134-z · Cited by 46 · see citing works
Jeters, R. T., Wang, G., Moon, K. H., et al. (2009) · Journal of Bacteriology · doi:10.1128/jb.00739-09 · Cited by 43 · see citing works
Inflammatory Bowel Disease-Associated Gut Commensals Degrade Components of the Extracellular Matrix
Porras, A. M., Zhou, H., Shi, Q., Xiao, X., Bank, J. L. C., Longman, R., & Brito, I. (2022) · mBio · doi:10.1128/mbio.02201-22 · Cited by 39 · see citing works
Keating, N., Mroz, M. S., Scharl, M. M., Marsh, C., Ferguson, G., Hofmann, A. F., & Keely, S. J. (2009) · Journal of Cellular and Molecular Medicine · doi:10.1111/j.1582-4934.2009.00838.x · Cited by 38 · see citing works
Rouhani, P., Amoushahi, M., Keshteli, A. H., Saneei, P., Afshar, H., Esmaillzadeh, A., & Adibi, P. (2023) · Scientific Reports · doi:10.1038/s41598-023-32309-w · Cited by 18 · see citing works
Tartaric Acid and its Derivatives. Part 17. Synthesis and Applications of Tartrates
Sobiecka, A., Synoradzki, L., Hajmowicz, H., & Zawada, K. (2017) · Organic Preparations and Procedures International · doi:10.1080/00304948.2017.1260392 · Cited by 9 · see citing works
Flagged first, then by citations
Research works printed but not linked: 14
- Sonnenburg JL, Sonnenburg ED. Vulnerability of the industrialized microbiota. Science. 2019;366(6464). doi:10.1126/SCIENCE.AAW9255/ASSET/ 698B3EE4-7BB6-4B68-9600-299710FA3189/ASSETS/GRAPHIC/366_AAW9255_FA.JPEG · DOI
- T K, H T, H M, et al. Involvement of beta-glucuronidase in intestinal microflora in the intestinal toxicity of the antitumor camptothecin derivative irinotecan hydrochloride (CPT-11) in rats. Cancer Res 1996;56(16):3752-3757. [PubMed: 8706020]
- Goh EB, Yim G, Tsui W, McClure JA, Surette MG, Davies J. Transcriptional modulation of bacterial gene expression by subinhibitory concentrations of antibiotics. Proc Natl Acad Sci U S A. 2002;99(26):17025-17030. doi:10.1073/PNAS.252607699/ASSET/AC6FCBF7- AB76-4DD2-9DC3-CA3C136B2F28/ASSETS/GRAPHIC/PQ2526076006.JPEG [PubMed: 12482953] · DOI
- Cayres LC de F, de Salis LVV, Rodrigues GSP, et al. Detection of Alterations in the Gut Microbiota and Intestinal Permeability in Patients With Hashimoto Thyroiditis. Front Immunol 2021;12:453. doi:10.3389/FIMMU.2021.579140/BIBTEX · DOI
- Bryan LE, Kowand SK, Van Den Elzen HM. Mechanism of Aminoglycoside Antibiotic Resistance in Anaerobic Bacteria: Clostridium perfringens and Bacteroides fragilis. Antimicrob Agents Chemother. 1979;15(1):7-13. [PubMed: 218500]
- Morris J, Dunham A. Metoprolol. XPharm Compr Pharmacol Ref Published online July 11, 2022:1-7. doi:10.1016/B978-008055232-3.62174-9 · DOI
- Kohn LD, Jakoby WB. Tartaric Acid Metabolism III. THE FORMATION OF GLYCERIC ACID. J Biol Chem 1968;243(10):2465-2471. doi:10.1016/S0021-9258(18)93398-3 [PubMed: 4297259] · DOI
- Averianova LA, Balabanova LA, Son OM, Podvolotskaya AB, Tekutyeva LA. Production of Vitamin B2 (Riboflavin) by Microorganisms: An Overview. Front Bioeng Biotechnol 2020;8:1172. doi:10.3389/FBIOE.2020.570828/BIBTEX · DOI
- García-Minguillán CJ, Fernandez-Ballart JD, Ceruelo S, et al. Riboflavin status modifies the effects of methylenetetrahydrofolate reductase (MTHFR) and methionine synthase reductase (MTRR) polymorphisms on homocysteine. Genes Nutr 2014;9(6):1-11. doi:10.1007/ S12263-014-0435-1/FIGURES/3 · DOI
- Gebbers JO. Atherosclerosis, cholesterol, nutrition, and statins -a critical review. GMS Ger Med Sci 2007;5:Doc04. [PubMed: 19675712]
- Hibberd MC, Wu M, Rodionov DA, et al. The effects of micronutrient deficiencies on bacterial species from the human gut microbiota. Sci Transl Med 2017;9(390). doi:10.1126/ SCITRANSLMED.AAL4069/SUPPL_FILE/AAL4069_TABLES_S1_TO_S16.ZIP · DOI
- Ko HHT, Lareu RR, Dix BR, Hughes JD. Statins: Antimicrobial resistance breakers or makers? PeerJ 2017;2017(10). doi:10.7717/PEERJ.3952/SUPP-1 · DOI
- Andy Bunn MK. A language and environment for statistical computing. R Found Stat Comput 2017;10(1):11-18.
- Gelsinger DR, Vo PLH, Klompe SE, Ronda C, Wang H, Sternberg SH. Bacterial genome engineering using CRISPR RNA-guided transposases. Published online March 21, 2023:2023.03.18.533263. doi:10.1101/2023.03.18.533263 · DOI
Cited by
Sorted by citations
- Authors
- Ricaurte, D., Huang, Y., Sheth, R. U., Gelsinger, D. R., Kaufman, A., & Wang, H. H.
- Affiliations
- Columbia University (US)
- Corresponding author
- Wang, Harris H.
- Venue
- Nature Microbiology
- Published
- 2024-01-17
- Volume
- 9
- Issue
- 2
- Pages
- 561-575
- ISSN
- 2058-5276 (ISSN-L)
- PMC
- PMC11287798
- OpenAlex
- W4390947582
- Cited by
- 38
- References
- 63
- Citations by year
- 2026: 13 · 2025: 18 · 2024: 7
- FWCI
- 5.17
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Nature Microbiology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Science Foundation (DGE 16?44869, 1R21AI146817, 1R01DK118044, 1644869, 2025515)
- Irma T. Hirschl Trust
- National Institutes of Health (DGE1644869, 1016691, MCB-2025515, 1644869)
- Office of Naval Research (N00014-18-1-2237, N00014-17-1, N00014-17-1-2353, N00014)
- National Human Genome Research Institute (RM1HG009490)
- National Cancer Institute (R01CA272898)
- National Institute of Allergy and Infectious Diseases (R21AI146817, R01AI132403)
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK118044, P30DK132710)
- National Institute of Biomedical Imaging and Bioengineering (R01EB031935)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Medicine › Antibiotic Resistance in Bacteria
- Health Sciences › Medicine › Oncology › Drug Transport and Resistance Mechanisms
- Keywords
- gut microbiota, drug-microbe interactions, bacterial transcriptomics, multidrug resistance, AcrAB-TolC efflux pump, Bacteroidales, statins, simvastatin, vitamin A, secondary bile acids, riboflavin biosynthesis, metabolite transport
- MeSH terms
- Gastrointestinal Microbiome, Anti-Bacterial Agents, Bacteria, Bacterial Proteins, Humans, Gene Expression Profiling
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