Evidence map›Paper›PMID 26510817›Full record

ArticlePharmaceutical biology2016

Effect of black mulberry (Morus nigra) extract treatment on cognitive impairment and oxidative stress status of D-galactose-induced aging mice.

Nergiz Hacer Turgut, Derya Guliz Mert, Haki Kara, Hatice Reyhan Egilmez, Emre Arslanbas, Bektas Tepe, Huseyin Gungor, Nese Yilmaz, Necati Baris Tuncel

Open access · greenAbstract read
In one paragraph

Article in Pharmaceutical biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

18 citing papers in PubMed, 46 citations in OpenAlex.

  1. A Novel Functional Ingredient Derived From a Mixture of Mulberry (Oxidative medicine and cellular longevity · 2026
    Article
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  4. Multi-Protective Effects of Petunidin-3-O-(International journal of molecular sciences · 2024
    Article
  5. Article
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  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. The Review of Anti-aging Mechanism of Polyphenols onFrontiers in bioengineering and biotechnology · 2021
    Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Effects of blackberry (Journal of experimental pharmacology · 2018
    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

9 authors at 3 institutions in 1 country.

Nergiz Hacer Turguta Department of Pharmacology , Cumhuriyet University Faculty of Pharmacy , Sivas , Turkey ;
Derya Guliz Mertb Department of Psychiatry , Cumhuriyet University Faculty of Medicine , Sivas , Turkey ;
Haki Karac Department of Pharmacology and Toxicology , Cumhuriyet University Faculty of Veterinary Medicine , Sivas , Turkey ;
Hatice Reyhan Egilmezd Department of Pathology , Cumhuriyet University Faculty of Medicine , Sivas , Turkey ;
Emre Arslanbasc Department of Pharmacology and Toxicology , Cumhuriyet University Faculty of Veterinary Medicine , Sivas , Turkey ;
Bektas Tepee Department of Molecular Biology and Genetics , Kilis University Faculty of Science and Literature , Kilis , Turkey ;
Huseyin Gungorc Department of Pharmacology and Toxicology , Cumhuriyet University Faculty of Veterinary Medicine , Sivas , Turkey ;
Nese Yilmazf Department of Food Engineering , Faculty of Engineering, Canakkale 18 Mart University , Canakkale , Turkey.
Necati Baris Tuncelf Department of Food Engineering , Faculty of Engineering, Canakkale 18 Mart University , Canakkale , Turkey.
Sivas Cumhuriyet Üniversitesi · TRÇanakkale Onsekiz Mart Üniversitesi · TRKilis 7 Aralık University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextMorus nigra L. (Moraceae) has various uses in traditional medicine. However, the effect of M. nigra on cognitive impairment has not been investigated yet.

objectiveThe objective of this study is to determine the phenolic acid content and DNA damage protection potential of M. nigra leaf extract and to investigate the extract effect on cognitive impairment and oxidative stress in aging mice. MATERIALS AND

methodsPhenolic acid content was determined by quantitative chromatographic analysis. DNA damage protection potential was evaluated on pBR322 plasmid DNA. Thirty-two Balb-C mice were randomly divided into four groups (control, d-galactose, d-galactose + M. nigra 50, and d-galactose + M. nigra 100). Mice were administered d-galactose (100 mg/kg, subcutaneous) and M. nigra (50 or 100 mg/kg, orally) daily for 8 weeks. Behavioral responses were evaluated with Morris water maze. Activities of antioxidant enzymes and levels of malondialdehyde (MDA) were assayed in serum, brain, and liver.

resultsIn extract, vanillic (632.093 μg/g) and chlorogenic acids (555.0 μg/g) were determined. The extract between 0.02 and 0.05 mg/mL effectively protected all DNA bands against the hazardous effect of UV and H2O2. Morus nigra significantly improved learning dysfunctions (p < 0.01), increased memory retention (p < 0.01), reduced MDA levels (p < 0.05), and elevated SOD, GPx, and CAT activities (p < 0.05) compared with the d-galactose group. DISCUSSION AND

conclusionThese results show that M. nigra has the potential in improving cognitive deficits in mice and that M. nigra may be useful to suppress aging, partially due to its scavenging activity of free radicals and high antioxidant capacity.

Indexed as

AgingAnimalsAntioxidantsBehavior, AnimalCognition DisordersDNA DamageGalactoseMaleMaze LearningMice, Inbred BALB CMorusOxidative StressPlant ExtractsPlant LeavesPlasmidsAntioxidantsGalactosePlant ExtractsAntioxidantlearningmemory retentionphenolic acid

Identifiers

PMID26510817
PMCPMC11132963
OpenAlexW1827870145

What OpenQuestion holds

Textmetadata
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.