Evidence map›Paper›PMID 36804008›Full record

ReviewAdvanced drug delivery reviews2023

Advanced delivery systems for peptide antibiotics.

Angela Cesaro, Shuangzhe Lin, Norbert Pardi, Cesar de la Fuente-Nunez

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Advanced drug delivery reviews, 2023. 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. Review
  2. Review
  3. Review
  4. Article
  5. Frontiers in bioinformatics · 2026
    Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Multidrug-resistantFrontiers in microbiology · 2025
    Review
  12. Review
  13. Review
  14. Clonal distribution and molecular characterization ofMedicine and pharmacy reports · 2024
    Article
  15. Article
  16. Review
  17. Article
  18. Antibiotic failure: Beyond antimicrobial resistance.Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy · 2023
    Review
  19. Review
  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

4 authors.

Angela CesaroMachine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States; Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, United States; Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, PA, United States.
Shuangzhe LinMachine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States; Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, United States; Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, PA, United States.
Norbert PardiDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Cesar de la Fuente-NunezMachine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States; Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, United States; Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, PA, United States. Electronic address: cfuente@upenn.edu.

Funding

Combining chemical and computational tools for predictive models of microbiome communitiesR35GM138201 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI DE LA FUENTE, CESAR · 2020 to 2024
$1.8M
NIGMS NIH HHS R35 GM138201
6 · The paper itself

Abstract

Antimicrobial peptides (AMPs) hold promise as alternatives to traditional antibiotics for preventing and treating multidrug-resistant infections. Although they have potent antimicrobial efficacy, AMPs are mainly limited by their susceptibility to proteases and potential off-site cytotoxicity. Designing the right delivery system for peptides can help to overcome such limitations, thus improving the pharmacokinetic and pharmacodynamic profiles of these drugs. The versatility of peptides and their genetically encodable structure make them suitable for both conventional and nucleoside-based formulations. In this review, we describe the main drug delivery procedures developed so far for peptide antibiotics: lipid nanoparticles, polymeric nanoparticles, hydrogels, functionalized surfaces, and DNA- and RNA-based delivery systems.

Indexed as

Anti-Infective AgentsAnti-Bacterial AgentsDrug Delivery SystemsHumansPeptidesAnti-Bacterial AgentsAnti-Infective AgentsPeptidesAntibiotic resistanceAntimicrobial peptidesCell-based delivery systemsDrug-deliveryInfectious diseasesmRNA-lipid nanoparticle-based therapy

Identifiers

PMID36804008
PMCPMC10771258

What OpenQuestion holds

Textmetadata
LicenceTDM
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.