Evidence map›Paper›PMID 41814006›Full record

ArticleNature medicine2026

Antibiotic use and gut microbiome composition links from individual-level prescription data of 14,979 individuals.

Gabriel Baldanzi, Anna Larsson, Sergi Sayols-Baixeras, Koen F Dekkers, Ulf Hammar, Diem Nguyen, Tíscar Graells, Shafqat Ahmad, Camila Gazolla Volpiano, Guillaume Meric and 10 more

Abstract read
In one paragraph

Article in Nature medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Microbiota matter.Nature materials · 2026
    Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. The Critical Period Microbiota Shape Brain Plasticity.bioRxiv : the preprint server for biology · 2026
    Article
  13. Review
  14. Article
  15. Article
  16. Microbiome-Driven Risk Stratification and Biotherapeutics in Radiation Enteritis.Computational and structural biotechnology journal · 2026
    Review
  17. Review
  18. Review
  19. Frontiers in cellular and infection microbiology · 2026
    Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Gabriel BaldanziMolecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0003-3962-3953
Anna LarssonDepartment of Clinical Sciences in Malmö, Lund University, Malmö, Sweden.ORCID http://orcid.org/0009-0004-7016-9802
Sergi Sayols-BaixerasMolecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
Koen F DekkersMolecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0002-4074-7235
Ulf HammarMolecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
Diem NguyenMolecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
Tíscar GraellsDivision of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden.
Shafqat AhmadMolecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
Camila Gazolla VolpianoCambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Guillaume MericMolecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0001-6288-9958
Josef D JärhultZoonosis Science Center, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0002-7075-1059
Thomas TängdénInfectious Diseases, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0001-7142-9849
Jonas F LudvigssonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Lars LindClinical Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
Johan SundströmClinical Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0003-2247-8454
Karl MichaëlssonMedical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Johan ÄrnlövDivision of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden.
Beatrice KennedyMolecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
Marju Orho-MelanderDepartment of Clinical Sciences in Malmö, Lund University, Malmö, Sweden.ORCID http://orcid.org/0000-0002-3578-2503
Tove FallMolecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden. tove.fall@medsci.uu.se.ORCID http://orcid.org/0000-0003-2071-5866

Funding

Hjärt-Lungfonden (Swedish Heart-Lung Foundation) 2018-0343Hjärt-Lungfonden (Swedish Heart-Lung Foundation) 2023-0380Hjärt-Lungfonden (Swedish Heart-Lung Foundation) 20230687Stiftelsen för Strategisk Forskning (Swedish Foundation for Strategic Research) IRC-0067Svenska Forskningsrådet Formas (Swedish Research Council Formas) 2020-00989Vetenskapsrådet (Swedish Research Council) 2018-02784Vetenskapsrådet (Swedish Research Council) 2019-01471Vetenskapsrådet (Swedish Research Council) 2020-00243Vetenskapsrådet (Swedish Research Council) 2022-01460Vetenskapsrådet (Swedish Research Council) 2025-02673Vetenskapsrådet (Swedish Research Council) Strategic Research Area Exodiab 2009-1039
6 · The paper itself

Abstract

Disruptions in gut microbiome are implicated in cardiometabolic disorders and other health outcomes. Antibiotics are known gut microbiome disruptors, but their long-term consequences remain underexplored. Here we combined individual-level data from the Swedish Prescribed Drug Register with fecal metagenomes of 14,979 adults to examine the association between oral antibiotic use over 8 years and gut microbiome. In multivariable confounder-adjusted regression models, antibiotic use <1 year before fecal sampling was associated with the greatest reduction in species diversity, but significant associations were also observed for use 1-4 and 4-8 years earlier. Clindamycin, fluoroquinolones and flucloxacillin accounted for most of the associations with the abundance of individual species. Use of these antibiotics 4-8 years earlier was associated with altered abundance of 10-15% of the species studied; penicillin V, extended-spectrum penicillins and nitrofurantoin were associated with only a few species. Similar results were found comparing one antibiotic course 4-8 years before sampling versus none in the past 8 years. These findings indicate that antibiotics may have long-lasting consequences for the gut microbiome.

Indexed as

Anti-Bacterial AgentsGastrointestinal MicrobiomeAdultClindamycinFecesFemaleFloxacillinFluoroquinolonesHumansMaleMetagenomeMiddle AgedNitrofurantoinPenicillin VSwedenAnti-Bacterial AgentsClindamycinFloxacillinFluoroquinolonesNitrofurantoinPenicillin V

Identifiers

PMID41814006
PMCPMC13099378

What OpenQuestion holds

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Registered trials

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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.