Evidence map›Paper›PMID 30229514›Full record

ReviewProbiotics and antimicrobial proteins2019

Antimicrobial Peptides: the Achilles' Heel of Antibiotic Resistance?

Angélique Lewies, Lissinda H Du Plessis, Johannes F Wentzel

Abstract readReview
PubMed Publisher
In one paragraph

Review in Probiotics and antimicrobial proteins, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed
10.5field-weighted citation impact, top 1% of its field
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

75 citing papers in PubMed, 180 citations in OpenAlex.

  1. Article
  2. Review
  3. Synergistic Action of Antimicrobial Peptides and Antibiotics.International journal of molecular sciences · 2026
    Review
  4. Review
  5. Review
  6. Journal of oral microbiology · 2026
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Bacterial and host interactions inFrontiers in microbiology · 2025
    Review
  17. Article
  18. Review
  19. Article
  20. Structure-aware deep learning model for peptide toxicity prediction.Protein science : a publication of the Protein Society · 2024
    Article

15 more citing papers are in PubMed but not listed here.

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

3 authors at 1 institution in 1 country.

Angélique LewiesCentre of Excellence for Pharmaceutical Sciences (Pharmacen), North-West University, 11 Hoffman Street, Potchefstroom, 2520, South Africa.
Lissinda H Du PlessisCentre of Excellence for Pharmaceutical Sciences (Pharmacen), North-West University, 11 Hoffman Street, Potchefstroom, 2520, South Africa.
Johannes F WentzelCentre of Excellence for Pharmaceutical Sciences (Pharmacen), North-West University, 11 Hoffman Street, Potchefstroom, 2520, South Africa. 20134045@nwu.ac.za.ORCID 0000-0002-2105-2673
North-West University · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotic resistance is an imminent threat to the effective treatment of bacterial infections, and alternative antibiotic strategies are urgently required. The golden epoch of antibiotics is coming to an end, and the development of new therapeutic agents to combat bacterial infections should be prioritized. This article will review the potential of antimicrobial peptides (AMPs) to combat the threat of antimicrobial resistance. The modern-day antimicrobial resistance dilemma is briefly discussed followed by a review of the potential of AMPs to be used alone or in combination with current antibiotics in order to enhance antibacterial properties of antibiotics while also potentially combatting resistance. This article reiterates that many AMPs exhibit direct microbial killing activity and also play an integral role in the innate immune system. These properties make AMPs attractive alternative antimicrobial agents. Furthermore, AMPs are promising candidates to be used as adjuvants in combination with current antibiotics in order to combat antibiotic resistance. Combinations of AMPs and antibiotics are less likely to develop resistance or transmit cross-resistance. The further identification and therapeutic development of AMPs and antibiotic-AMP combinations are strongly recommended.

Indexed as

Anti-Bacterial AgentsAntimicrobial Cationic PeptidesBacterial InfectionsDrug Resistance, MicrobialHumansImmunity, InnateImmunologic FactorsAnti-Bacterial AgentsAntimicrobial Cationic PeptidesImmunologic FactorsAdjuvant therapyAntibiotic resistanceAntimicrobial peptidesInnate immunitySynergism

Identifiers

PMID30229514
OpenAlexW2890686817

What OpenQuestion holds

Textmetadata
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.