Evidence map›Paper›PMID 26577219›Full record

ArticleBMC complementary and alternative medicine2015

Antioxidant, antidiabetic and hypolipidemic effects of Tulbaghia violacea Harv. (wild garlic) rhizome methanolic extract in a diabetic rat model.

Kogi Moodley, Kimane Joseph, Yougasphree Naidoo, Shahidul Islam, Irene Mackraj

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in BMC complementary and alternative medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
8.8field-weighted citation impact, top 3% 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

19 citing papers in PubMed, 70 citations in OpenAlex.

  1. Phenolic-Rich Extracts ofPlants (Basel, Switzerland) · 2025
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  7. Journal of diabetes and metabolic disorders · 2023
    Article
  8. Article
  9. Frontiers in pharmacology · 2023
    Article
  10. The Phytochemistry and Pharmacology ofMolecules (Basel, Switzerland) · 2022
    Review
  11. Review
  12. Microorganisms · 2020
    Article
  13. Review
  14. Article
  15. Ameliorative Activity of Ethanolic Extract ofAdvanced pharmaceutical bulletin · 2018
    Article
  16. Article
  17. Article
  18. Article
  19. Review
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

5 authors at 1 institution in 1 country.

Kogi MoodleyDepartment of Human Physiology, School of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of Kwazulu Natal, Durban, 4000, South Africa.
Kimane JosephDepartment of Human Physiology, School of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of Kwazulu Natal, Durban, 4000, South Africa.
Yougasphree NaidooDepartment of Biological & Conservation Sciences, School of Life Sciences, University of Kwazulu Natal, Durban, 4000, South Africa.
Shahidul IslamDepartment of Biochemistry, Genetics and Biochemistry, School of Life Sciences, University of KwaZulu-Natal, Durban, 4000, South Africa.
Irene MackrajDepartment of Human Physiology, School of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of Kwazulu Natal, Durban, 4000, South Africa. mackraji@ukzn.ac.za.
University of KwaZulu-Natal · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of diabetes mellitus (DM) continues to rise alarmingly despite years of intensive research. The need to explore alternative remedies such as traditional phytotherapy has therefore become increasingly important in the management and treatment of DM.

methodsDiabetes was induced by a single intraperitoneal (i.p) injection of streptozotocin (40 mg/kg.b.w) in male Wistar rats. The rats were divided into 5 groups as follows: non-diabetic control fed distilled water, diabetic control fed distilled water, diabetic group treated with Tulbaghia violacea (TVL) (60 mg/kg.b.w), diabetic group treated with TVL (120 mg/kg.b.w), and diabetic group treated with glibenclamide (10 mg/kg.b.w). Food and water intake, as well as urine output were measured daily, whilst body weight and fasting blood glucose were monitored weekly. On day 42, an oral glucose tolerance test was performed on all groups. After 7 weeks, the animals were sacrificed by halothane overdose, blood was removed by cardiac puncture and tissues were harvested. Assays were performed for the determination of plasma insulin, liver glycogen content, lipid peroxidation, antioxidant enzyme levels, plasma nitric oxide levels and serum lipid and liver enzyme levels. RESULTS AND DISCUSSION: TVL treatment improved body weights, significantly reduced fasting blood glucose levels, improved glucose tolerance and significantly increased plasma insulin and liver glycogen content. TVL treatment also reduced liver thiobarbituric acid reactive substances (TBARS) levels, increased liver superoxide dismutase (SOD), catalase and glutathione peroxidase (GPx) and increased plasma nitric oxide (NO) levels. Furthermore, TVL administration reduced serum triglycerides, VLDL, total-cholesterol levels and increased HDL-cholesterol levels. TVL also reduced serum levels of liver enzymes, alanine aminotransferase (ALT) and aspartate aminotransferase (AST).

conclusionData obtained in this study demonstrated the hypoglycemic, antioxidant, hepatoprotective and hypolipidemic effects of TVL in STZ-induced diabetic rats.

Indexed as

AlliumPhytotherapyAnimalsAntioxidantsBlood GlucoseDiabetes Mellitus, ExperimentalDisease Models, AnimalHypoglycemic AgentsHypolipidemic AgentsLiverMaleOxidative StressPlant ExtractsRatsRats, WistarRhizomeAntioxidantsBlood GlucoseHypoglycemic AgentsHypolipidemic AgentsPlant Extracts

Identifiers

PMID26577219
PMCPMC4647322
OpenAlexW2172634014

What OpenQuestion holds

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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.