The DOI matches its Crossref record; 229 of the 229 references it cites were found in a registry or an index.
Antibiotic perturbations to the gut microbiome
Open accessAbstract
Antibiotic-mediated perturbation of the gut microbiome is associated with numerous infectious and autoimmune diseases of the gastrointestinal tract. Yet, as the gut microbiome is a complex ecological network of microorganisms, the effects of antibiotics can be highly variable. With the advent of multi-omic approaches for systems-level profiling of microbial communities, we are beginning to identify microbiome-intrinsic and microbiome-extrinsic factors that affect microbiome dynamics during antibiotic exposure and subsequent recovery. In this Review, we discuss factors that influence restructuring of the gut microbiome on antibiotic exposure. We present an overview of the currently complex picture of treatment-induced changes to the microbial community and highlight essential considerations for future investigations of antibiotic-specific outcomes. Finally, we provide a synopsis of available strategies to minimize antibiotic-induced damage or to restore the pretreatment architectures of the gut microbial community.
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“Median times to pathogen identification with standard techniques have been reported near 96 h, a critical window during which unnecessary antimicrobial exposure can increase adverse events and the risk of colonization by resistant organisms (3–5).”
From Optimized use of the FilmArray Meningitis/Encephalitis panel for early discontinuation of antibiotic therapy (2026) · cites this paper as [4]
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Items 201–229 of 229
Amor, D. R., & Gore, J. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2116954119 · Cited by 34
Tao, C., Zhang, Q., Zeng, W., Liu, G., & Shao, H. (2020) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-020-10611-1 · Cited by 33
Mass Azithromycin Distribution and Community Microbiome: A Cluster-Randomized Trial
Doan, T. A., Hinterwirth, A. J., Arzika, A. M., Cotter, S. Y., Ray, K. J., O’Brien, K. S., Zhong, L., Chow, E. D., Zhou, Z., Cummings, M. E., et al. (2018) · Open Forum Infectious Diseases · doi:10.1093/ofid/ofy182 · Cited by 31
Mahmud, B., Wallace, M. A., Reske, K. A., Alvarado, K., Muenks, C. E., Rasmussen, D. A., Burnham, C. D., Lanzas, C., Dubberke, E. R., & Dantas, G. A. (2022) · mSystems · doi:10.1128/msystems.00519-22 · Cited by 31
Self-citationA Synthetic System That Senses Candida albicans and Inhibits Virulence Factors
Tscherner, M., Giessen, T. W., Markey, L., Kumamoto, C. A., & Silver, P. A. (2019) · ACS Synthetic Biology · doi:10.1021/acssynbio.8b00457 · Cited by 30
Bakkeren, E., Herter, J. A., Huisman, J. S., Steiger, Y., Gül, E., Newson, J. P. M., Brachmann, A. O., Piel, J., Regoes, R. R., Bonhoeffer, S., et al. (2021) · eLife · doi:10.7554/elife.69744 · Cited by 29
Oldenburg, C. E., Hinterwirth, A. J., Sié, A., Coulibaly, B., Ouèrmi, L., Dah, C., Tapsoba, C., Cummings, M. E., Zhong, L., Chen, C., et al. (2019) · Clinical Infectious Diseases · doi:10.1093/cid/ciz455 · Cited by 28 · cited 3×
“…expectedly enrich for ARGs that confer resistance to the treatment agent 33,34,51,62–66 ,114,115, 117, 119– 123 through selection of bacterial strains Importantly, the effects of antibiotics on the gut resistome vary substantially depending on the nature of the administered drug 33,52,59,114,123 .”
BackgroundZarkan, A., Matuszewska, M., Trigg, S., Zhang, M., Belgami, D., Croft, C., Liu, J., El-Ouisi, S., Greenhalgh, J. C., Duboff, J. S., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-68693-w · Cited by 28 · cited 1×
“Antibiotic susceptibility of a gut commensal may thus be determined by its surrounding nutrient milieu (Box 1), a concept that remains difficult to investigate in vivo 88–92 .”
BackgroundSim, C. K., Kashaf, S. S., Conlan, S., Stacy, A., Proctor, D. M., Almeida, A., Bouladoux, N. J., Chen, M., Program, N. C. S., Finn, R. D., et al. (2022) · Microbiome · doi:10.1186/s40168-021-01207-6 · Cited by 28 · cited 1×
“…mouse models have reproduced the superior capacity of vancomycin to decrease alpha diversity or increase pathogen susceptibility compared to more than five other antibiotic agents or combinations (including ampicillin, azithromycin, ciprofloxacin and ciprofloxacin– metronidazole) 46,56,57 .”
BackgroundKokai‐Kun, J. F., Le, C., Trout, K. W., Cope, J. L., Ajami, N. J., Degar, A. J., & Connelly, S. (2020) · Infection and Drug Resistance · doi:10.2147/idr.s260258 · Cited by 25 · cited 4×
“Recent investigations of the gut resistome have primarily relied on whole-metagenome shotgun sequencing with subsequent alignment of sequencing reads or annotated open reading frames from assembled contigs against one or a few of the available databases of known ARGs 32–34 ,59 ,62 ,114, 117– 119”
BackgroundMethodInfluentialDietary fat promotes antibiotic-induced Clostridioides difficile mortality in mice
Hazleton, K. Z., Martin, C. G., Orlicky, D. J., Arnolds, K. L., Nusbacher, N. M., Moreno-Huizar, N., Armstrong, M., Reisdorph, N. A., & Lozupone, C. (2022) · npj Biofilms and Microbiomes · doi:10.1038/s41522-022-00276-1 · Cited by 25 · cited 1×
“Synergy between antibiotics and metabolic or dietary elements can further shape microbiome dynamics and alter susceptibility to anti-biotics within the community, leading to clinically relevant differences in disease 102 (Fig.”
BackgroundWurster, J. I., Peterson, R. L., Brown, C. E., Penumutchu, S., Guzior, D. V., Neugebauer, K. A., Sano, W. H., Sebastian, M. M., Quinn, R. A., & Belenky, P. A. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.110113 · Cited by 24 · cited 1×
“Specifically, in one model, such synergistic interventions freed up simple sugars and ethanolamines through an altered fatty acid metabolism, ultimately increasing susceptibility to enteric infection by Salmonella enterica 107 .”
BackgroundAntibiotics Drive Expansion of Rare Pathogens in a Chronic Infection Microbiome Model
Varga, J. J., Zhao, C., Davis, J. D., Hao, Y., Farrell, J. M., Gurney, J., Voit, E. O., & Brown, S. P. (2022) · mSphere · doi:10.1128/msphere.00318-22 · Cited by 23 · cited 1×
“Yet, the in vitro spectrum of activity of an antibiotic does not always predict in vivo species trajectories in a multi-species microbiome during antibiotic exposure 93–96 .”
BackgroundBurdet, C., Sayah-Jeanne, S., Nguyen, T. T., Miossec, C., Saint-Lu, N., Pulse, M., Weiss, W., Andremont, A., Mentré, F., & de Gunzburg, J. (2017) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.00543-17 · Cited by 21 · cited 1×
“Coadminis-tration of DAV132 with antibiotics protects gut bacterial richness and diversity, impedes the spread of pathobionts and resistant organisms, and maintains the colonization resistance capacity of the gut against C. difficile 165,174,175 .”
BackgroundGelfat, I., Aqeel, Y., Tremblay, J. M., Jaskiewicz, J. J., Shrestha, A., Lee, J. N., Hu, S., Qian, X., Magoun, L., Sheoran, A. S., et al. (2022) · PLoS Pathogens · doi:10.1371/journal.ppat.1010713 · Cited by 18
Libisch, B., Abdulkadir, S., Keresztény, T., Papp, P., Olasz, F., Fébel, H., Sándor, Z. J., Rasschaert, G., Lambrecht, E., Heyndrickx, M., et al. (2022) · Antibiotics · doi:10.3390/antibiotics11101441 · Cited by 18
Kim, J. H., Lee, J. Y., Kim, D. H., Park, J. Y., Lee, H., Kang, H. G., & Ahn, Y. H. (2021) · Pediatric Nephrology · doi:10.1007/s00467-021-05163-z · Cited by 17
Arzika, A. M., Maliki, R., Abdou, A., Mankara, A. K., Harouna, A. N., Cook, C. A., Hinterwirth, A. J., Worden, L., Zhong, L., Chen, C., et al. (2021) · Clinical Infectious Diseases · doi:10.1093/cid/ciab485 · Cited by 16 · cited 3×
“Recent investigations of the gut resistome have primarily relied on whole-metagenome shotgun sequencing with subsequent alignment of sequencing reads or annotated open reading frames from assembled contigs against one or a few of the available databases of known ARGs 32–34 ,59 ,62 ,114, 117– 119”
BackgroundMethodHinterwirth, A. J., Sié, A., Coulibaly, B., Ouèrmi, L., Dah, C., Tapsoba, C., Zhong, L., Chen, C., Lietman, T. M., Keenan, J. D., et al. (2020) · American Journal of Tropical Medicine and Hygiene · doi:10.4269/ajtmh.19-0940 · Cited by 15 · cited 1×
“…richness (less than twofold) and beta diversity 58,59 , in addition to its effect in depleting Bifidobacterium and Ruminococcus spp. Azithromycin has been widely explored (in clinical trials of >1,000 children across sub-Saharan Africa) on its own and in comparison to other antibiotics 60–66 .”
BackgroundCommonly Used Antibacterial and Antifungal Agents for Hospitalised Paediatric Patients
Singh, J., Burr, B., Stringham, D., & Arrieta, A. C. (2001) · Pediatric Drugs · doi:10.2165/00128072-200103100-00003 · Cited by 14
Reijnders, D., Goossens, G. H., Hermes, G. D. A., Smidt, H., Zoetendal, E. G., & Blaak, E. E. (2018) · Obesity Facts · doi:10.1159/000492114 · Cited by 13 · cited 3×
“…by significant decreases in the relative abundance of important members of the phyla Firmicutes, Bacteroidetes and Actinobacteria, most notably Faecalibacterium prausnitzii , Eubacterium spp., Roseburia spp., Bifidobacterium spp., Dorea spp., Anaerostipes spp. and Ruminococcus spp. 32,34,38,39 .”
BackgroundSexual Dimorphism in the Response to Broad-spectrum Antibiotics During T Cell-mediated Colitis
Harrison, C. A., Laubitz, D., Midura‐Kiela, M. T., Jamwal, D. R., Besselsen, D. G., Ghishan, F. K., & Kiela, P. R. (2018) · Journal of Crohn s and Colitis · doi:10.1093/ecco-jcc/jjy144 · Cited by 13
Simpson, H. L., Roberts, C. L., Thompson, L. M., Leiper, C. R., Gittens, N., Trotter, E., Duckworth, C. A., Papoutsopoulou, S., Miyajima, F., Roberts, P., et al. (2021) · Frontiers in Pharmacology · doi:10.3389/fphar.2021.766293 · Cited by 10
A Tunable and Expandable Transactivation System in Probiotic Yeast Saccharomyces boulardii
Kwak, S., Mahmud, B., & Dantas, G. A. (2021) · ACS Synthetic Biology · doi:10.1021/acssynbio.1c00384 · Cited by 10 · cited 1×
“Recent expansions of the toolsets aimed at genetic modification of bacterial and yeast probiotics 197–199 have enabled the engineering of probiotic organisms with more potent and/or targeted anti-pathogenic activities.”
BackgroundSelf-citationvan Engelen, T. S. R., Yang, J., Haak, B. W., Bonta, P. I., van der Poll, T., Wiersinga, W. J., van Engelen, T. S. R., Yang, J., Haak, B. W., Hugenholtz, F., et al. (2021) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2021.07.030 · Cited by 9
DAV131A Protects Hamsters from Lethal Clostridioides difficile Infection Induced by Fluoroquinolones
Saint-Lu, N., Burdet, C., Sablier-Gallis, F., Corbel, T., Nevière, A., Sayah‐Jeanne, S., Pulse, M., Weiss, W., Ferreira, S., Andremont, A., et al. (2019) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.01196-19 · Cited by 8
Murine Model for Measuring Effects of Humanized-Dosing of Antibiotics on the Gut Microbiome
Leopold, S. R., Abdelraouf, K., Nicolau, D. P., Agresta, H. O., Johnson, J. S., Teter, K., Dunne, W. M., Broadwell, D., van Belkum, A., Schechter, L. M., et al. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.813849 · Cited by 5 · cited 1×
“…some grounds for making antibiotic-specific claims about different magnitudes of microbiome perturbation capacity, human and animal models require more rigorous control over dosing and route of administration of antibiotics to accurately interpret differences in effect size across antibiotics 77 .”
BackgroundChaima, D., Pickering, H. C., Hart, J., Burr, S. E., Houghton, J., Maleta, K. M., Kalua, K., Bailey, R. L., & Holland, M. J. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.756318 · Cited by 4
Functional Metagenomics to Study Antibiotic Resistance
Mahmud, B., Boolchandani, M., Patel, S., & Dantas, G. A. (2022) · Methods in molecular biology · doi:10.1007/978-1-0716-2855-3_21 · Cited by 4
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Cited by
Sorted by citations
Hays, K. E., Pfaffinger, J. M., & Ryznar, R. J. (2024) · Gut Microbes · doi:10.1080/19490976.2024.2393270 · Cited by 541
Mechanism of staphylococcal resistance to clinically relevant antibiotics
Brdová, D., Ruml, T., & Viktorová, J. (2024) · Drug Resistance Updates · doi:10.1016/j.drup.2024.101147 · Cited by 144
Antimicrobial resistance crisis: could artificial intelligence be the solution?
Liu, G., Yu, D., Fan, M.-M., Zhang, X., Jin, Z., Tang, C. M., & Liu, X. (2024) · Military Medical Research · doi:10.1186/s40779-024-00510-1 · Cited by 138
“Compared to antibiotics, which are mostly broad-spectrum, phage therapy offers remarkably higher specificity, minimizing disturbances to the microbiota and preventing antibiotic-induced AMR dissemination [136, 137].”
BackgroundUnraveling the Gut Microbiota: Implications for Precision Nutrition and Personalized Medicine
Abeltino, A., Hatem, D., Serantoni, C., Riente, A., Giulio, M. M. D., Spirito, M. D., Maio, F. D., & Maulucci, G. (2024) · Nutrients · doi:10.3390/nu16223806 · Cited by 121
“[90–92] Environmental and lifestyle Both macroenvironmental (e.g., toxic exposure, socioeconomic status) and microenvironmental factors (e.g., smoking, diet, stress) can disrupt microbiome composition, promoting inflammation and long-term disease development.”
Engelsberger, V., Gerhard, M., & Mejías‐Luque, R. (2024) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2024.1339750 · Cited by 110
“Engelsberger et al. 10.3389/fcimb.2024.1339750 Frontiers in Cellular and Infection Microbiology frontiersin.org because of their detrimental impact on the intestinal microbiota and related disorders, such as IBD (Ianiro et al., 2016) (Fishbein et al., 2023).”
BackgroundInfluential
Metadata
- Authors
- Fishbein, S. R. S., Mahmud, B., & Dantas, G.
- Affiliations
- Washington University in St. Louis (US)
- Corresponding author
- Dantas, Gautam
- Venue
- Nature Reviews Microbiology
- Published
- 2023-07-25
- Volume
- 21
- Issue
- 12
- Pages
- 772-788
- ISSN
- 1740-1526 (ISSN-L)
- 1740-1534
- PMC
- PMC12087466
- OpenAlex
- W4385240643
- Cited by
- 440
- References
- 229
- Citations by year
- 2026: 152 · 2025: 165 · 2024: 115 · 2023: 7
- FWCI
- 11.59
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Nature Reviews Microbiology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- U.S. Department of Health and Human Services
- National Institutes of Health
- Centers for Disease Control and Prevention (R01OH011578)
- Agency for Healthcare Research and Quality (R01 HS027621)
- National Institute of Allergy and Infectious Diseases (U01AI123394, R01AI155893)
- National Institute of Diabetes and Digestive and Kidney Diseases (T32DK077653)
- National Institute for Occupational Safety and Health (R01 OH011578)
- National Center for Complementary and Integrative Health (R01AT009741)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD092414)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
- Physical Sciences › Environmental Science › Ecology › Microbial Community Ecology and Physiology
- Keywords
- gut microbiota, antibiotics, microbiome perturbation, microbiome recovery, gastrointestinal diseases, autoimmune disease, multi-omics profiling
- MeSH terms
- Gastrointestinal Microbiome, Anti-Bacterial Agents, Gastrointestinal Tract, Microbiota
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