Evidence map›Paper›PMID 33822937›Full record

ReviewFEMS microbiology reviews2021

Ecological and Evolutionary responses to Antibiotic Treatment in the Human Gut Microbiota.

Joseph Hugh Pennycook, Pauline Deirdre Scanlan

Abstract readReview
In one paragraph

Review in FEMS microbiology reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
–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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Nutrients · 2021
    Trial
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Kidney transplantation and gut microbiota.Clinical kidney journal · 2024
    Review
  14. Article
  15. Article
  16. Article
  17. Advances inMicroorganisms · 2023
    Review
  18. Review
  19. 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

2 authors.

Joseph Hugh PennycookAPC Microbiome Ireland, Biosciences Institute, University College Cork, College Road, Cork, T12 YT20, Ireland.
Pauline Deirdre ScanlanAPC Microbiome Ireland, Biosciences Institute, University College Cork, College Road, Cork, T12 YT20, Ireland.ORCID 0000-0002-6733-9653

Funding

JHPRoyal SocietyScience Foundation Ireland 17/RC-PhD/3476
6 · The paper itself

Abstract

The potential for antibiotics to affect the ecology and evolution of the human gut microbiota is well recognised and has wide-ranging implications for host health. Here, we review the findings of key studies that surveyed the human gut microbiota during antibiotic treatment. We find several broad patterns including the loss of diversity, disturbance of community composition, suppression of bacteria in the Actinobacteria phylum, amplification of bacteria in the Bacteroidetes phylum, and promotion of antibiotic resistance. Such changes to the microbiota were often, but not always, recovered following the end of treatment. However, many studies reported unique and/or contradictory results, which highlights our inability to meaningfully predict or explain the effects of antibiotic treatment on the human gut microbiome. This problem arises from variation between existing studies in three major categories: differences in dose, class and combinations of antibiotic treatments used; differences in demographics, lifestyles, and locations of subjects; and differences in measurements, analyses and reporting styles used by researchers. To overcome this, we suggest two integrated approaches: (i) a top-down approach focused on building predictive models through large sample sizes, deep metagenomic sequencing, and effective collaboration; and (ii) a bottom-up reductionist approach focused on testing hypotheses using model systems.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaAnti-Bacterial AgentsBacteriaHumansAnti-Bacterial Agentsantibioticsdiversityecologyevolutiongut microbiota

Identifiers

PMID33822937
PMCPMC8498795

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.