Evidence map›Paper›PMID 37199137›Full record

ArticleJournal of biomedical materials research. Part A2023

Synthetic mucus biomaterials for antimicrobial peptide delivery.

Sydney Yang, Gregg A Duncan

Open access · hybridAbstract read
In one paragraph

Article in Journal of biomedical materials research. Part A, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Synthetic mucus biomaterials synergize with antibiofilm agents to combatbioRxiv : the preprint server for biology · 2024
    Article
  7. EngineeringJournal of materials chemistry. B · 2023
    Article
  8. EngineeringbioRxiv : the preprint server for biology · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Sydney YangFischell Department of Bioengineering, University of Maryland, College Park, Maryland, USA.
Gregg A DuncanFischell Department of Bioengineering, University of Maryland, College Park, Maryland, USA.ORCID 0000-0002-6811-1327
University of Maryland, College Park · US

Funding

Synthetic mucus for local therapeutic deliveryR21EB030834 · NIBIB · UNIV OF MARYLAND, COLLEGE PARK · PI DUNCAN, GREGG, MAISEL, KATHARINA · 2021 to 2022
$382k
NIBIB NIH HHS R21 EB030834
6 · The paper itself

Abstract

Despite the promise of antimicrobial peptides (AMPs) as treatments for antibiotic-resistant infections, their therapeutic efficacy is limited due to the rapid degradation and low bioavailability of AMPs. To address this, we have developed and characterized a synthetic mucus (SM) biomaterial capable of delivering LL37 AMPs and enhancing their therapeutic effect. LL37 is an AMP that exhibits a wide range of antimicrobial activity against bacteria, including Pseudomonas aeruginosa. LL37 loaded SM hydrogels demonstrated controlled release with 70%-95% of loaded LL37 over 8 h due to charge-mediated interactions between mucins and LL37 AMPs. Compared to treatment with LL37 alone where antimicrobial activity was reduced after 3 h, LL37-SM hydrogels inhibited P. aeruginosa (PAO1) growth over 12 h. LL37-SM hydrogel treatment reduced PAO1 viability over 6 h whereas a rebound in bacterial growth was observed when treated with LL37 only. These data demonstrate LL37-SM hydrogels enhance antimicrobial activity by preserving LL37 AMP activity and bioavailability. Overall, this work establishes SM biomaterials as a platform for enhanced AMP delivery for antimicrobial applications.

Indexed as

MucusAntimicrobial PeptidesDrug Delivery SystemsHydrogelsPseudomonas aeruginosaAntimicrobial PeptidesHydrogelsantimicrobial peptidesbiomaterialshydrogelmucin

Identifiers

PMID37199137
PMCPMC10524183
OpenAlexW4377011458

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.