Evidence map›Paper›PMID 39322516›Full record

ArticleInternational dental journal2025

Unravelling the Programmed Inflammation and Tissue Repair by a Multipotential Antimicrobial K21 Silane.

Umer Daood, Muhammad Sharjeel Ilyas, Sehar Bashir, Neelofar Yousuf, Maryam Rashid, Kanwardeep Kaur, Ranjeet Ajit Bapat, Mohammed Nadeem Bijle, Malikarjuna Rao Pichika, Kit-Kay Mak and 5 more

Abstract read
In one paragraph

Article in International dental journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

15 authors.

Umer DaoodRestorative Dentistry Division, School of Dentistry, International Medical University Kuala Lumpur, Kuala Lumpur, Malaysia; School of Dentistry, The University of Queensland, Herston, Queensland, Australia. Electronic address: umerdaood@imu.edu.my.
Muhammad Sharjeel IlyasOral Biology, Akhtar Saeed Medical and Dental College, Lahore, Pakistan.
Sehar BashirHistopathology, Akhtar Saeed Medical and Dental College, Lahore, Pakistan.
Neelofar YousufPharmacology, Akhtar Saeed Medical and Dental College, Lahore, Pakistan.
Maryam RashidPharmacology, Akhtar Saeed Medical and Dental College, Lahore, Pakistan.
Kanwardeep KaurClinical Oral Health Sciences Division, School of Dentistry, International Medical University, Kuala Lumpur, Malaysia.
Ranjeet Ajit BapatRestorative Dentistry Division, School of Dentistry, International Medical University Kuala Lumpur, Kuala Lumpur, Malaysia.
Mohammed Nadeem BijlePaediatric Dentistry, Faculty of Dentistry, The University of Hong Kong, Hong Kong SAR, China.
Malikarjuna Rao PichikaSchool of Pharmacy, International Medical University Kuala Lumpur, Kuala Lumpur, Malaysia.
Kit-Kay MakSchool of Pharmacy, International Medical University Kuala Lumpur, Kuala Lumpur, Malaysia.
Shiming ZhangInterdisciplinary Institute of Life Medicine, Hunan University, Changsha, Hunan Province, China.
Zeeshan SheikhBiomaterials & Applied Oral Sciences (BAOS), Dental Clinical Sciences, Faculty of Dentistry, Dalhousie University, Halifax, Nova Scotia, Canada.
Abdul Samad KhanDepartment of Restorative Dental Sciences, College of Dentistry, Imam Abdulrahman Bin Faisal University; Dammam, Saudi Arabia.
Ove PetersDepartment of Endodontics, Arthur A Dugoni School of Dentistry, University of the Pacific, San Francisco, California, USA; School of Dentistry, The University of Queensland, Herston, Queensland, Australia.
Jukka P MatinlinnaDental Materials Science, Applied Oral Sciences & Community Dental Care, Faculty of Dentistry, The University of Hong Kong, Hong Kong SAR, China; Biomaterials Science, Division of Dentistry, School of Medical Sciences, The University of Manchester, Manchester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AIMS AND

objectivesTo examine if a novel antimicrobial silane K21 can alter macrophage polarisation and affect fibroblast proliferation by deciphering the molecular pathways for programmed healing using a combined in vitro and in vivo (animal) burn model. MATERIALS AND

methodsAn injectable silane-based antimicrobial aimed to modulate macrophage polarisation was manufactured. Experimental analysis included colorimetric cell migration assays on gingival fibroblasts, macrophage phagocytosis characterisation, immunofluorescence staining, triacylglycerol accumulation within macrophages by LCMS, cellular metabolic/proliferation assays, macrophage exposure quantification with morphology assessment using FE-SEM, Raman spectral analysis, RNA isolation for relative gene expression and animal study model to morphometrically and microscopically analyse partial thickness burn wound healing under QAS/K21.

resultsM1 and M2 polarisation both appeared exaggerated under QAS/K21 treatment. The wounds treated with K21 had depicted accelerated healing as compared to control (P < .05) in dorsal skin of rabbits. Relative gene expression results demonstrate reduced cytokine and anti-inflammatory response under the influence of K21. While M1 expression, TG accumulation, and associated characterisations demonstrate the programmed inflammatory potential of K21.

conclusionthe antimicrobial and reparative efficacy of K21 silane aids in programmed inflammation for enhanced tissue healing and repair.

Indexed as

Anti-Infective AgentsBurnsInflammationSilanesWound HealingAnimalsCell MovementCell ProliferationDisease Models, AnimalFibroblastsGingivaHumansMacrophagesPhagocytosisRabbitsAnti-Infective AgentsSilanesBurnCytotoxicityLaser RamanM1M2Macrophage, Polarisation

Identifiers

PMID39322516
PMCPMC11976552

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.