Evidence map›Paper›PMID 36249774›Full record

ReviewFrontiers in pharmacology2022

Review on Plant-Based Management in Combating Antimicrobial Resistance - Mechanistic Perspective.

Masita Arip, Malarvili Selvaraja, Mogana R, Lee Fang Tan, Mun Yee Leong, Puay Luan Tan, Vi Lien Yap, Sasikala Chinnapan, Ng Chin Tat, Maha Abdullah and 2 more

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2022. 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. Biogenesis of Au Nanoparticles from Plant-Derived Metabolites -ACS biomaterials science & engineering · 2026
    Article
  4. Article
  5. Invasive Goldenrod (Molecules (Basel, Switzerland) · 2025
    Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. OptimizedAntioxidants (Basel, Switzerland) · 2025
    Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. In Vitro Activity ofVeterinary sciences · 2024
    Article
  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.

Masita AripAllergy and Immunology Research Centre, Institute for Medical Research, Ministry of Health Malaysia, Setia Alam, Malaysia.
Malarvili SelvarajaDepartment of Pharmaceutical Biology, Faculty of Pharmaceutical Sciences, UCSI University, Cheras, Malaysia.
Mogana RDepartment of Pharmaceutical Biology, Faculty of Pharmaceutical Sciences, UCSI University, Cheras, Malaysia.
Lee Fang TanDepartment of Pharmaceutical Biology, Faculty of Pharmaceutical Sciences, UCSI University, Cheras, Malaysia.
Mun Yee LeongDepartment of Pharmaceutical Biology, Faculty of Pharmaceutical Sciences, UCSI University, Cheras, Malaysia.
Puay Luan TanDepartment of Pharmaceutical Biology, Faculty of Pharmaceutical Sciences, UCSI University, Cheras, Malaysia.
Vi Lien YapDepartment of Pharmaceutical Biology, Faculty of Pharmaceutical Sciences, UCSI University, Cheras, Malaysia.
Sasikala ChinnapanDepartment of Pharmaceutical Biology, Faculty of Pharmaceutical Sciences, UCSI University, Cheras, Malaysia.
Ng Chin TatImmunology Unit, Department of Pathology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Malaysia.
Maha AbdullahImmunology Unit, Department of Pathology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Malaysia.
Dharmendra KNarayan Institute of Pharmacy, Gopal Narayan Singh University, Jamuhar, India.
Najwan JubairDepartment of Pharmaceutical Biology, Faculty of Pharmaceutical Sciences, UCSI University, Cheras, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance (AMR) occurs when microbes no longer respond to any pharmacological agents, rendering the conventional antimicrobial agents ineffective. AMR has been classified as one of the top 10 life-threatening global health problems needed multilevel attention and global cooperation to attain the Sustainable Development Goals (SDGs) according to the World Health Organization (WHO), making the discovery of a new and effective antimicrobial agent a priority. The recommended treatments for drug-resistant microbes are available but limited. Furthermore, the transformation of microbes over time increases the risk of developing drug resistance. Hence, plant metabolites such as terpenes, phenolic compounds and alkaloids are widely studied due to their antibacterial, antiviral, antifungal and antiparasitic effects. Plant-derived antimicrobials are preferred due to their desirable efficacy and safety profile. Plant metabolites work by targeting microbial cell membranes, interfering with the synthesis of microbial DNA/RNA/enzymes and disrupting quorum sensing and efflux pump expression. They also work synergistically with conventional antibiotics to enhance antimicrobial effects. Accordingly, this review aims to identify currently available pharmacological therapies against microbes and AMR, as well as to discuss the importance of plant and secondary metabolites as a possible solution for AMR together with their mechanisms of action. All the information was obtained from government databases, WHO websites, PubMed, Springer, Google Scholar and Science Direct. Based on the information obtained, AMR is regarded as a significant warning to global healthcare. Plant derivatives such as secondary metabolites may be considered as potential therapeutic targets to mitigate the non-ending AMR.

Indexed as

antimicrobial resistancebacteriafungiparasitesplantssecondary metabolitesvirus

Identifiers

PMID36249774
PMCPMC9557208

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.