Evidence map›Paper›PMID 33467089›Full record

ReviewInternational journal of molecular sciences2021

Pulling the Brakes on Fast and Furious Multiple Drug-Resistant (MDR) Bacteria.

Abid Ali Khan, Khanzadi Nazneen Manzoor, Aamir Sultan, Maria Saeed, Mahrukh Rafique, Sameen Noushad, Ayesha Talib, Simone Rentschler, Hans-Peter Deigner

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 5% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Invasive Giant Goldenrod (Molecules (Basel, Switzerland) · 2026
    Article
  3. Invasive Goldenrod (Molecules (Basel, Switzerland) · 2025
    Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Understanding immune-modulatory efficacy in vitro.Chemico-biological interactions · 2022
    Review
  18. Wound Infection with Multi-Drug ResistantArchives of Razi Institute · 2021
    Article
  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

9 authors at 4 institutions in 2 countries.

Abid Ali KhanCenter for Precision Medicine, Hochschule Furtwangen University, Jakob-Kienzle-Str. 17, 78054 Villingen-Schwenningen, Germany.
Khanzadi Nazneen ManzoorDepartment of Biosciences, COMSATS University Islamabad, Park Road, Tarlai Kalan, Islamabad 45550, Pakistan.
Aamir SultanDepartment of Biosciences, COMSATS University Islamabad, Park Road, Tarlai Kalan, Islamabad 45550, Pakistan.
Maria SaeedDepartment of Biosciences, COMSATS University Islamabad, Park Road, Tarlai Kalan, Islamabad 45550, Pakistan.ORCID 0000-0001-8538-1428
Mahrukh RafiqueDepartment of Biosciences, COMSATS University Islamabad, Park Road, Tarlai Kalan, Islamabad 45550, Pakistan.
Sameen NoushadDepartment of Biosciences, COMSATS University Islamabad, Park Road, Tarlai Kalan, Islamabad 45550, Pakistan.
Ayesha TalibMechano(bio)chem Department, Max Planck Institute for Colloids and Interfaces, Am Mühlenberg 1, Golm, 14476 Potsdam, Germany.
Simone RentschlerCenter for Precision Medicine, Hochschule Furtwangen University, Jakob-Kienzle-Str. 17, 78054 Villingen-Schwenningen, Germany.
Hans-Peter DeignerCenter for Precision Medicine, Hochschule Furtwangen University, Jakob-Kienzle-Str. 17, 78054 Villingen-Schwenningen, Germany.ORCID 0000-0002-7745-0152
COMSATS University Islamabad · PKFraunhofer-Gesellschaft · DEFurtwangen University · DEMax Planck Institute of Colloids and Interfaces · DE

Funding

Bundesministerium für Bildung und Forschung 03FH046PX4Bundesministerium für Wirtschaft und Energie IGF 20934 N
6 · The paper itself

Abstract

Life-threatening bacterial infections have been managed by antibiotics for years and have significantly improved the wellbeing and lifetime of humans. However, bacteria have always been one step ahead by inactivating the antimicrobial agent chemically or by producing certain enzymes. The alarming universal occurrence of multidrug-resistant (MDR) bacteria has compelled researchers to find alternative treatments for MDR infections. This is a menace where conventional chemotherapies are no longer promising, but several novel approaches could help. Our current review article discusses the novel approaches that can combat MDR bacteria: starting off with potential nanoparticles (NPs) that efficiently interact with microorganisms causing fatal changes in the morphology and structure of these cells; nanophotothermal therapy using inorganic NPs like AuNPs to destroy pathogenic bacterial cells; bacteriophage therapy against which bacteria develop less resistance; combination drugs that act on dissimilar targets in distinctive pathways; probiotics therapy by the secretion of antibacterial chemicals; blockage of quorum sensing signals stopping bacterial colonization, and vaccination against resistant bacterial strains along with virulence factors. All these techniques show us a promising future in the fight against MDR bacteria, which remains the greatest challenge in public health care.

Indexed as

Drug Resistance, Multiple, BacterialAnimalsAnti-Bacterial AgentsAntimicrobial Cationic PeptidesBacterial InfectionsHumansNanoparticlesPhage TherapyVaccinationAnti-Bacterial AgentsAntimicrobial Cationic Peptidesbacteriophagescombination therapymultidrug resistancenanoantibioticsnanoparticles

Identifiers

PMID33467089
PMCPMC7830236
OpenAlexW3122756083

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.