Evidence map›Paper›PMID 37689972›Full record

ArticleAdvanced healthcare materials2023

Bioactive Suture with Added Innate Defense Functionality for the Reduction of Bacterial Infection and Inflammation.

Manoj Puthia, Jitka Petrlova, Ganna Petruk, Marta Butrym, Firdaus Samsudin, Madelene Å Andersson, Ann-Charlotte Strömdahl, Sebastian Wasserstrom, Erik Hartman, Sven Kjellström and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Advanced healthcare materials, 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
4.8field-weighted citation impact, top 4% 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, 15 citations in OpenAlex.

  1. Article
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  4. Charge balance transition enabledBioactive materials · 2025
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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

16 authors at 3 institutions in 3 countries.

Manoj PuthiaDivision of Dermatology and Venereology, Department of Clinical Sciences, Lund University, Lund, SE-22184, Sweden.ORCID 0000-0001-6048-7234
Jitka PetrlovaDivision of Dermatology and Venereology, Department of Clinical Sciences, Lund University, Lund, SE-22184, Sweden.
Ganna PetrukDivision of Dermatology and Venereology, Department of Clinical Sciences, Lund University, Lund, SE-22184, Sweden.
Marta ButrymDivision of Dermatology and Venereology, Department of Clinical Sciences, Lund University, Lund, SE-22184, Sweden.
Firdaus SamsudinBioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore, 138671, Singapore.
Madelene Å AnderssonDivision of Dermatology and Venereology, Department of Clinical Sciences, Lund University, Lund, SE-22184, Sweden.
Ann-Charlotte StrömdahlDivision of Dermatology and Venereology, Department of Clinical Sciences, Lund University, Lund, SE-22184, Sweden.
Sebastian WasserstromLund University Bioimaging Centre, Lund University, Lund, SE-22184, Sweden.
Erik HartmanDivision of Dermatology and Venereology, Department of Clinical Sciences, Lund University, Lund, SE-22184, Sweden.
Sven KjellströmDivision of Mass Spectrometry, Department of Clinical Sciences, Lund University, Lund, SE-22184, Sweden.
Lucrezia CaselliPhysical Chemistry 1, Lund University, Lund, S-221 00, Sweden.
Oxana KlementievaMedical Microspectroscopy Lab, Department of Experimental Medical Sciences, Faculty of Medicine, Lund University, Lund, SE-221 84, Sweden.
Peter J BondBioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore, 138671, Singapore.
Martin MalmstenPhysical Chemistry 1, Lund University, Lund, S-221 00, Sweden.
Deepak Bushan RainaDepartment of Clinical Sciences Lund, Orthopedics, Faculty of Medicine, Lund University, Lund, SE-221 84, Sweden.
Artur SchmidtchenDivision of Dermatology and Venereology, Department of Clinical Sciences, Lund University, Lund, SE-22184, Sweden.
Lund University · SEAgency for Science, Technology and Research · SGUniversity of Copenhagen · DK

Funding

Alfred Österlunds StiftelseCrafoord and Österlund FoundationCrafoordska StiftelsenEdvard Welanders Stiftelse and Finsenstiftelsen (HudFonden)Royal Physiographic SocietySwedish Government Funds for Clinical Research (ALF)Swedish National Infrastructure for Biological Mass Spectrometry (BioMS)Vetenskapsrådet 2017-02341,2020-02016
6 · The paper itself

Abstract

Surgical site infections (SSI) are a clinical and economic burden. Suture-associated SSI may develop when bacteria colonize the suture surface and form biofilms that are resistant to antibiotics. Thrombin-derived C-terminal peptide (TCP)-25 is a host defense peptide with a unique dual mode of action that can target both bacteria and the excessive inflammation induced by bacterial products. The peptide demonstrates therapeutic potential in preclinical in vivo wound infection models. In this study, the authors set out to explore whether TCP-25 can provide a new bioactive innate immune feature to hydrophilic polyglactin sutures (Vicryl). Using a combination of biochemical, biophysical, antibacterial, biofilm, and anti-inflammatory assays in vitro, in silico molecular modeling studies, along with experimental infection and inflammation models in mice, a proof-of-concept that TCP-25 can provide Vicryl sutures with a previously undisclosed host defense capacity, that enables targeting of bacteria, biofilms, and the accompanying inflammatory response, is shown.

Indexed as

Bacterial InfectionsPolyglactin 910AnimalsAnti-Bacterial AgentsHumansInflammationMicePeptidesSurgical Wound InfectionSuturesAnti-Bacterial AgentsPeptidesPolyglactin 910host defense peptidespolyglactinsurgical site infectionssutureTCP-25

Identifiers

PMID37689972
PMCPMC11468473
OpenAlexW4386582510

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.