Evidence map›Paper›PMID 36430233›Full record

ArticleInternational journal of molecular sciences2022

In Vitro Evaluation of Anti-Inflammatory and Protective Potential of an Extract from

Magdalena Wójciak, Martyna Zagórska-Dziok, Zofia Nizioł-Łukaszewska, Aleksandra Ziemlewska, Dominika Furman-Toczek, Dariusz Szczepanek, Ireneusz Sowa

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Review
  3. Untargeted UHPLC-HRMS Metabolomic Profiling ofAntioxidants (Basel, Switzerland) · 2025
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  4. Review
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  6. Assessment of the Antioxidant and Photoprotective Properties ofInternational journal of molecular sciences · 2024
    Article
  7. Antioxidant and Antidiabetic Activity ofMolecules (Basel, Switzerland) · 2024
    Article
  8. Article
  9. Article
  10. Protective Effect ofLife (Basel, Switzerland) · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. 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

7 authors at 2 institutions in 1 country.

Magdalena WójciakDepartment of Analytical Chemistry, Medical University of Lublin, Chodzki 4a, 20-093 Lublin, Poland.ORCID 0000-0003-0466-1343
Martyna Zagórska-DziokDepartment of Technology of Cosmetic and Pharmaceutical Products, Medical College, University of Information Technology and Management in Rzeszow, Kielnarowa 386a, 36-020 Tyczyn, Poland.
Zofia Nizioł-ŁukaszewskaDepartment of Technology of Cosmetic and Pharmaceutical Products, Medical College, University of Information Technology and Management in Rzeszow, Kielnarowa 386a, 36-020 Tyczyn, Poland.
Aleksandra ZiemlewskaDepartment of Technology of Cosmetic and Pharmaceutical Products, Medical College, University of Information Technology and Management in Rzeszow, Kielnarowa 386a, 36-020 Tyczyn, Poland.ORCID 0000-0001-8871-8911
Dominika Furman-ToczekDepartment of Technology of Cosmetic and Pharmaceutical Products, Medical College, University of Information Technology and Management in Rzeszow, Kielnarowa 386a, 36-020 Tyczyn, Poland.
Dariusz SzczepanekChair and Department of Neurosurgery and Paediatric Neurosurgery, Medical University of Lublin, 20-090 Lublin, Poland.
Ireneusz SowaDepartment of Analytical Chemistry, Medical University of Lublin, Chodzki 4a, 20-093 Lublin, Poland.ORCID 0000-0001-9346-6325
University of Information Technology and Management in Rzeszow · PLMedical University of Lublin · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cornus mas L. is a rich source of valuable compounds with pro-health properties and, therefore, may be attractive for the pharmaceutical and cosmetic industry. This paper attempts to assess the antioxidant, anti-inflammatory, and protective effect of an extract from C. mas fruit on skin cells in vitro. The phytochemical analysis of the extract was carried out using UPLC-MS and the content of the main components was determined. The biological activity of the extract was assessed by in vitro analysis using two human cell lines: keratinocytes (HaCaT) and fibroblasts (BJ). Additionally, the ability of this extract to regulate gene expression (SOD-1, Nox-4) in skin cells was evaluated. Moreover, the impact of the extract and its main components, including loganic acid and cornuside, on the level of inflammatory cytokines in H2O2-treated cells was assessed. The tests showed that the extract has strong antioxidant properties and stimulates the proliferation of both types of cells. The results evidence that the Cornus mas L. fruit extract significantly reduces the level of reactive oxygen species in the cells tested and can modulate the expression of genes closely related to oxidative stress. Moreover, it suppresses the production of IL-6, IL-8, and TNF-α, and the effect was related to loganic acid and cornuside. The present research indicates that the analyzed dogwood extract can be an effective means of prevention of cell damage caused by free radicals and have a positive effect on the condition of skin cells.

Indexed as

CornusAnti-Inflammatory AgentsAntioxidantsChromatography, LiquidFibroblastsFruitHumansHydrogen PeroxideIridoidsKeratinocytesOxidative StressPlant ExtractsTandem Mass SpectrometryAnti-Inflammatory AgentsAntioxidantsHydrogen PeroxideIridoidsloganic acidPlant Extractsanti-inflammatoryantioxidantscornelian cherry fruitfibroblastskeratinocytesoxidative stress

Identifiers

PMID36430233
PMCPMC9696105
OpenAlexW4308721636

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.