Evidence map›Paper›PMID 42566132›Full record

ArticleApplied biochemistry and biotechnology2026

Evaluation of Wound Healing in Wistar Rat Model via Curcumin-Functionalized Copper Nanoparticle Ointment.

Reya Rene Philip, Atchayadana Udayasuriyan, Swetha J, Sankari D

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Article in Applied biochemistry and biotechnology, 2026. 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

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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

4 authors.

Reya Rene PhilipDepartment of Biotechnology, Faculty of Science and Humanities, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603203, Tamil Nadu, India.
Atchayadana UdayasuriyanDepartment of Biotechnology, Faculty of Science and Humanities, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603203, Tamil Nadu, India.
Swetha JDepartment of Biotechnology, Faculty of Science and Humanities, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603203, Tamil Nadu, India.
Sankari DDepartment of Biotechnology, Faculty of Science and Humanities, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603203, Tamil Nadu, India. sankarid@srmist.edu.in.ORCID http://orcid.org/0000-0002-1283-3566

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wound healing remains a major clinical challenge, often requiring treatments that combine antimicrobial, antioxidant, and anti-inflammatory properties. In the present study, a novel topical ointment containing curcumin functionalized copper nanoparticles (Cur-CuNPs) was developed and evaluated for wound-healing. Copper nanoparticles were green synthesized using Crossandra infundibuliformis leaf extract, followed by curcumin functionalization to enhance the stability, antioxidant, anti-inflammatory, and wound healing activities. The formulated ointments were characterized and evaluated in Wistar albino rats with topical application daily for 16 days significantly accelerated wound contraction, enhanced re-epithelialization, and promoted organized collagen deposition in treated groups. Biochemical analysis revealed elevated antioxidant enzyme activities (superoxide dismutase and catalase) and reduced lipid peroxidation levels. ELISA-based cytokine profiling showed reduced levels of pro-inflammatory mediators (TNF-α and IL-6). Gene expression analysis showed increased VEGF expression together with reduced MMP-9 and IL-6 expression, while immunohistochemical analysis demonstrated increased Ki-67 and CD31 in Cur-CuNP-treated wounds. Collectively, these findings suggest that Cur- CuNP ointment promote wound healing with antioxidant activity, reduced inflammation, enhanced cellular proliferation, angiogenesis, and extracellular matrix remodeling, highlighting their potential as multifunctional topical therapeutics.

Indexed as

Copper nanoparticlesIn-vitroIn-vivo studiesOintment formulationsWound healing

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Registered trials

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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.