Evidence mapPaperPMID 41317099Full record

ReviewACS applied materials & interfaces2026

Synergy between Antimicrobial Peptides and Lipid Nanoparticles for Skin Infection Control.

Lucas de Alcântara Sica de Toledo, Hélen Cássia Rosseto, Danieli Fernanda Buccini, Octávio Luiz Franco

Abstract readReview
In one paragraph

Review in ACS applied materials & interfaces, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

4 authors.

Lucas de Alcântara Sica de ToledoS-Inova Biotech, Programa de Pós-Graduação em Biotecnologia, Pontifícia Universidade Católica Dom Bosco, Campo Grande, MS 79117900, Brazil.
Hélen Cássia RossetoFaculty of Pharmaceutical Sciences, Food and Nutrition, Universidade Federal de Mato Grosso do Sul, Campo Grande, MS 79070900, Brazil.
Danieli Fernanda BucciniS-Inova Biotech, Programa de Pós-Graduação em Biotecnologia, Pontifícia Universidade Católica Dom Bosco, Campo Grande, MS 79117900, Brazil.
Octávio Luiz FrancoS-Inova Biotech, Programa de Pós-Graduação em Biotecnologia, Pontifícia Universidade Católica Dom Bosco, Campo Grande, MS 79117900, Brazil.ORCID 0000-0001-9546-0525

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skin infections caused by multidrug-resistant bacteria are an increasing public health concern, requiring therapeutic approaches. Antimicrobial peptides (AMPs) have been studied as alternatives to conventional antibiotics due to their broad-spectrum activity and lower risk of inducing resistance. However, their clinical application remains limited due to enzymatic instability, rapid clearance, and potential toxicity. Lipid nanoparticles (LNPs) have emerged as a promising strategy to protect and deliver AMPs in a controlled manner, enhancing their efficacy while reducing side effects. This review explores how AMP encapsulation within LNPs can improve stability, prolong antimicrobial activity, and optimize skin penetration. Despite recent advances, challenges, such as scalability, regulatory approval, and clinical application, must still be addressed to bring this approach into widespread use for skin infection treatment. This review explores the synergy between AMPs and LNPs, focusing on their mechanisms of action,

Indexed as

Anti-Bacterial AgentsAntimicrobial PeptidesLipidsNanoparticlesSkin Diseases, InfectiousAnimalsDrug CarriersHumansSkinAnti-Bacterial AgentsAntimicrobial PeptidesDrug CarriersLipidsantimicrobial peptidescontrolled drug releaselipid nanoparticlesmultidrug-resistant bacteriananomedicineskin infections

Identifiers

PMID41317099
PMCPMC12903065

What Socratic 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 Socratic graph.