ArticleBMC microbiology2023
Common antibiotics, azithromycin and amoxicillin, affect gut metagenomics within a household.
Article in BMC microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05169255 (Long Term Antibiotics Study), which is not on this map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Long Term Antibiotics Study
Who cites it
10 citing papers in PubMed, 16 citations in OpenAlex.
- Antibiotic-induced gut microbiome dysbiosis: risks and strategies for mitigation.The EMBO journal · 2026Review
- Comparative Impacts of Oral Amoxicillin, Azithromycin, and Clindamycin on Gut Microbiota and Intestinal Homeostasis.Antibiotics (Basel, Switzerland) · 2025Article
- Microbiotoxicity: an under-recognised player in drug efficacy, toxicity, and health outcomes.npj antimicrobials and resistance · 2025Review
- The metabolome of fecal extracellular vesicles in patients with malignant solid tumors.Scientific reports · 2025Article
- Evaluating Effects of Antibiotics Across Preclinical Models of the Human Gastrointestinal Microbiota.MicrobiologyOpen · 2025Article
- Vaginal Microbiota Patterns Associated with Yeast Infection in Mexican Women, a Pilot Study.Biotech (Basel (Switzerland)) · 2025Article
- Complexity of antibiotic resistance and its impact on gut microbiota dynamics.Engineering microbiology · 2025Review
- The gut and circulating virome: emerging players in aging and longevity.Frontiers in aging · 2025Review
- Article
- Noninvasive skin swab analysis detects environmental drug exposure of pharmacy staff.Clinical and translational science · 2024Article
Corrections and comments
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Authors and funding
13 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundThe microbiome of the human gut serves a role in a number of physiological processes, but can be altered through effects of age, diet, and disturbances such as antibiotics. Several studies have demonstrated that commonly used antibiotics can have sustained impacts on the diversity and the composition of the gut microbiome. The impact of the two most overused antibiotics, azithromycin, and amoxicillin, in the human microbiome has not been thoroughly described. In this study, we recruited a group of individuals and unrelated controls to decipher the effects of the commonly used antibiotics amoxicillin and azithromycin on their gut microbiomes.
resultsWe characterized the gut microbiomes by metagenomic sequencing followed by characterization of the resulting microbial communities. We found that there were clear and sustained effects of the antibiotics on the gut microbial community with significant alterations in the representations of Bifidobacterium species in response to azithromycin (macrolide antibiotic). These results were supported by significant increases identified in putative antibiotic resistance genes associated with macrolide resistance. Importantly, we did not identify these trends in the unrelated control individuals. There were no significant changes observed in other members of the microbial community.
conclusionsAs we continue to focus on the role that the gut microbiome plays and how disturbances induced by antibiotics might affect our overall health, elucidating members of the community most affected by their use is of critical importance to understanding the impacts of common antibiotics on those who take them. Clinical Trial Registration Number NCT05169255. This trial was retrospectively registered on 23-12-2021.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.