Evidence map›Paper›PMID 40538717›Full record

ReviewEngineering microbiology2025

Complexity of antibiotic resistance and its impact on gut microbiota dynamics.

H Shayista, M N Nagendra Prasad, S Niranjan Raj, Ashwini Prasad, S Lakshmi, H K Ranjini, K Manju, Ravikumara, Raghuraj Singh Chouhan, Olga Y Khohlova and 2 more

Abstract readReview
In one paragraph

Review in Engineering microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Antimicrobial Peptide CPP-C3M4 AttenuatesAnimals : an open access journal from MDPI · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Mapping 25 years of research on gut microbiota and antibiotic resistance: bibliometric insights and future directions.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Review
  17. Phylogenomics and Antimicrobial Resistance of ClinicalAntibiotics (Basel, Switzerland) · 2025
    Article
  18. A nonenzymatic effector disruptsProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  19. Review
  20. Article
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

12 authors.

H ShayistaDepartment of Biotechnology, JSS Science and Technology University, Mysore 570006, India.
M N Nagendra PrasadDepartment of Biotechnology, JSS Science and Technology University, Mysore 570006, India.
S Niranjan RajDepartment of Studies in Microbiology, Karnataka State Open University, Mukthagangotri, Mysuru, Karnataka, India.
Ashwini PrasadDepartment of Microbiology, JSS Academy of Higher Education and Research, Mysuru, Karnataka 570 015, India.
S LakshmiDepartment of Biotechnology, JSS Science and Technology University, Mysore 570006, India.
H K RanjiniDepartment of Microbiology, JSS Academy of Higher Education and Research, Mysuru, Karnataka 570 015, India.
K ManjuDepartment of Studies in Microbiology, Karnataka State Open University, Mukthagangotri, Mysuru, Karnataka, India.
RavikumaraDepartment of Studies in Microbiology, Karnataka State Open University, Mukthagangotri, Mysuru, Karnataka, India.
Raghuraj Singh ChouhanDepartment of Environmental Sciences, Jozef Stefan Institute, Jamova Cesta 39, 1000 Ljubljana, Slovenia.
Olga Y KhohlovaDepartment of Molecular Microbiology, Federal Budget Institution of Science, State Research Center for Applied Microbiology and Biotechnology, Moscow, Russia.
Olga V PerianovaDepartment of Microbiology, Prof. V.F. Voino-Yasenetsky, Krasnoyarsk State Medical University, Partizana-Zheleznyaka Street, 1, Krasnoyarsk, Siberia, Russia.
Syed BakerDepartment of Microbiology, JSS Academy of Higher Education and Research, Mysuru, Karnataka 570 015, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present review explores the influence of the gut microbiota on antibiotic resistance dynamics, particularly those associated with dysbiosis. The improper use of antibiotics can induce resistance in pathogens through various pathways, which is a topic of increasing interest within the scientific community. This review highlights the importance of microbial diversity, gut metabolism, and inflammatory responses against the dysbiosis due to the action of antibiotics. Additionally, it examines how secondary metabolites secreted by pathogens can serve as biomarkers for the early detection of antibiotic resistance. Although significant progress has been made in this field, key research gaps persist, including the need for a deeper understanding of the long-term effects of antibiotic-induced dysbiosis and the specific mechanisms driving the evolution of resistance in gut bacteria. Based on these considerations, this review systematically analyzed studies from PubMed, Web of Science, Embase, Cochrane Library, and Scopus up to July 2024. This study aimed to explore the dynamics of the interactions between gut microbiota and antibiotic resistance, specifically examining how microbial composition influences the development of resistance mechanisms. By elucidating these relationships, this review provides insights into management strategies for drug resistance and improves our understanding of microbial contributions to host health.

Indexed as

Antibiotic resistanceDysbiosisGut microbiotaHomeostasisMetabolites

Identifiers

PMID40538717
PMCPMC12173824

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.