Evidence map›Paper›PMID 40487453›Full record

ReviewiScience2025

Unlocking the synergistic potential of green metallic nanoparticles and antibiotics for antibacterial and wound healing activities.

S V N Pammi, Amir Mohammad Alipour, Ravichandra Matangi, Thirumala Rao Gurugubelli, Chandrasekar Perumalveeramalai, Lakshmi Kalyani Ruddaraju

Abstract readReview
In one paragraph

Review in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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

6 authors.

S V N PammiSchool of Technology, Woxsen University, Hyderabad, Telangana 502345, India.
Amir Mohammad AlipourSri Venkateswara College of Pharmacy, Etcherla, Srikakulam 532410, India.
Ravichandra MatangiDepartment of Chemistry, Indian Institute of Technology Patna, Bihta, Bihar 801106, India.
Thirumala Rao GurugubelliDepartment of Physics, School of Sciences & Humanities, SR University, Warangal, Telangana 506371, India.
Chandrasekar PerumalveeramalaiDepartment of Physics, Madanapalle Institute of Technology & Science, Madanapalle, Andhra Pradesh 517 325, India.
Lakshmi Kalyani RuddarajuDepartment of Pharmaceutics, Vaagdevi College of Pharmacy, Ramnagar, Hanamkonda, Warangal, Andhra Pradesh 506001, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The discovery of antibiotics in the 20th century has played a crucial role in contemporary medicine for treating bacterial infections; however, the rise of antimicrobial resistance poses a significant threat to their efficacy, creating a global health crisis. On the other hand, the lack of discovery of new antibiotics for overcoming resistance has stagnated. In this context, metallic nanoparticles (MNPs) prepared with green approaches (P-MNPs) have emerged as viable options for combating multidrug-resistant bacteria and inhibiting biofilm formation. Additionally, when combined with commercial antibiotics, P-MNPs enhance drug delivery, improve circulation, and effectively target bacteria, reducing the required dosage and expanding antibacterial activity while maintaining biocompatibility. In this review, synergistic antibacterial mechanisms of P-MNPs and antibiotics (nAbts), their wound healing and cytotoxicity studies are underscored, which paves a road map for the researchers and medical practitioners to use nAbts in clinical translations.

Indexed as

Drug delivery systemGreen chemistryNanoparticles

Identifiers

PMID40487453
PMCPMC12141076

What OpenQuestion 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 OpenQuestion graph.