Evidence map›Paper›PMID 39156334›Full record

ArticleCureus2024

Development of a Synergistic Nanomaterial Scaffold Combining Silver Nanoparticles, Collagen, and Doxycycline for Enhanced Scar-Free Skin Regeneration.

Chokkalingam Deepa, Selvaraj Bharathi, Poongazhalselvan Devagi, Baskaran Sivasankari, Umapathi Prakash, Kuppusamy Kavitha, Gopal Suresh, Arumugam Rajalakshmi, Balasubramanian Ramesh, Gajapathi Balaraman

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Chokkalingam DeepaResearch Department of Microbiology, Sri Sankara Arts and Science College, Kanchipuram, IND.
Selvaraj BharathiDepartment of Research Analytics, Saveetha Dental College and Hospitals, Chennai, IND.
Poongazhalselvan DevagiResearch Department of Microbiology, Sri Sankara Arts and Science College, Kanchipuram, IND.
Baskaran SivasankariResearch Department of Microbiology, Sri Sankara Arts and Science College, Kanchipuram, IND.
Umapathi PrakashResearch Department of Microbiology, Sri Sankara Arts and Science College, Kanchipuram, IND.
Kuppusamy KavithaResearch Department of Microbiology, Sri Sankara Arts and Science College, Kanchipuram, IND.
Gopal SureshResearch Department of Microbiology, Sri Sankara Arts and Science College, Kanchipuram, IND.
Arumugam RajalakshmiResearch Department of Biotechnology, Sri Sankara Arts and Science College, Kanchipuram, IND.
Balasubramanian RameshResearch Department of Biotechnology, Sri Sankara Arts and Science College, Kanchipuram, IND.
Gajapathi BalaramanDepartment of Prosthodontics, Sri Venkateshwara Dental College and Hospital, Chennai, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction The efficacy of wound-healing treatments can be significantly enhanced through innovative combination therapies. This research investigates the wound-healing properties of a combination therapy involving silver nanoparticles (AgNPs) synthesized using Delphinium denudatum (Dd), bovine tendon collagen (BTC), and the antibiotic doxycycline (DOX) in Wistar albino rats. Each component has known therapeutic benefits: AgNPs possess antimicrobial properties, BTC aids in tissue regeneration, and DOX is an effective antibiotic. The synergy between these components is hypothesized to enhance wound closure, reduce inflammation, and promote scar-free healing. Methods The synthesis of DdAgNPs was carried out using Dd. The presence of AgNPs was confirmed by ultraviolet-visible (UV-Vis) spectroscopy and high-resolution transmission electron microscopy (HRTEM). The study was conducted on Wistar albino rats following ethical guidelines for animal research. The rats were divided into different groups to receive various treatments: DdAgNPs alone, BTC alone, DOX alone, combinations of two components, and the triple combination of DdAgNPs: BTC: DOX. Wound closure rates, epithelialization, and collagen deposition were monitored and recorded over time. Tissue samples from the wound sites were collected for histological analysis. Hematoxylin and eosin (H&E) staining was used to evaluate epithelialization and overall tissue architecture. Collagen deposition was assessed using Masson's trichrome staining. Additionally, the expression of cyclooxygenase-2 (COX-2) was measured as an indicator of inflammation. Results UV-Vis spectroscopy provided the characteristic surface plasmon resonance peak indicative of AgNPs, while HRTEM revealed the morphology and size of the nanoparticles, showing spherical particles with an average size of 35±10.42 nm. The combination therapy of DdAgNPs: BTC: DOX significantly enhanced wound closure compared to individual and dual-component treatments. This was evidenced by faster epithelialization and increased collagen deposition. The histological analysis showed that the triple combination treatment resulted in more organized tissue architecture and denser collagen fibers. Furthermore, the treatment led to a marked decrease in COX-2 expression, indicating reduced inflammation and potential for lower scar formation. Conclusion The synergistic application of DdAgNPs, BTC, and DOX presents a promising strategy for advanced wound healing and tissue regeneration. The combination therapy not only accelerates wound closure but also enhances the quality of healing by promoting epithelialization and collagen deposition while reducing inflammation. These findings offer a potential pathway for developing effective, scar-free healing solutions, highlighting the benefits of integrating multiple therapeutic agents in wound care.

Indexed as

collagendelphinium denudatumdoxycyclinesilver nanoparticleswound healing

Identifiers

PMID39156334
PMCPMC11330562

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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.