Subchronic toxicity of aqueous extract of Cnestis ferruginea (Connaraceae) leaves on Wistar rats

The aim of this study is to evaluate the subchronic toxicity of Cnestis ferruginea leaves. After preparing the aqueous extract of Cnestisferruginea leaves (AECF) by maceration, 108 male and female rats divided into three groups of 24 received 1 mL of distilled water or EACF at 50 or 100 mg/kg of BW orally every day. The rats were weighed every two days and on days 15, 30 and 60 of treatment, 6 males and 6 females from each group were sacrificed. Their blood was collected in EDTA and dry tubes respectively for haematological and biochemical analyses. The results showed that the rats weight increased gradually and no significant difference was recorded between weight gains. With regard to haematological parameters, it was only after 30 days of treatment that a significant difference was observed in red blood cell and white blood cell (p<0.05) counts with the 50 mg/kg dose of BW. Biochemical analyses revealed a significant decrease in glucose levels of 3.83% (p<0.05) after 15 days with the 50 mg/kg dose of BW. In contrast, a significant increase of 7.37% (p<0.05) in cholesterol levels was observed after 30 days with a dose of 50 mg/kg of BW. It be noted that Cnestis ferruginea leaves, far from being toxic when taken orally, have pharmacological properties that make them a good candidate for the development of new drugs.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-31
DOI
https://doi.org/10.5281/zenodo.17810683
Primary Topic
Ethnobotanical and Medicinal Plants Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Subchronic toxicity of aqueous extract of Cnestis ferruginea (Connaraceae) leaves on Wistar rats

Zenodo (CERN European Organization for Nuclear Research)
Ethnobotanical and Medicinal Plants Studies
article

Subchronic toxicity of aqueous extract of Cnestis ferruginea (Connaraceae) leaves on Wistar rats

article en

Abstract

The aim of this study is to evaluate the subchronic toxicity of Cnestis ferruginea leaves. After preparing the aqueous extract of Cnestisferruginea leaves (AECF) by maceration, 108 male and female rats divided into three groups of 24 received 1 mL of distilled water or EACF at 50 or 100 mg/kg of BW orally every day. The rats were weighed every two days and on days 15, 30 and 60 of treatment, 6 males and 6 females from each group were sacrificed. Their blood was collected in EDTA and dry tubes respectively for haematological and biochemical analyses. The results showed that the rats weight increased gradually and no significant difference was recorded between weight gains. With regard to haematological parameters, it was only after 30 days of treatment that a significant difference was observed in red blood cell and white blood cell (p<0.05) counts with the 50 mg/kg dose of BW. Biochemical analyses revealed a significant decrease in glucose levels of 3.83% (p<0.05) after 15 days with the 50 mg/kg dose of BW. In contrast, a significant increase of 7.37% (p<0.05) in cholesterol levels was observed after 30 days with a dose of 50 mg/kg of BW. It be noted that Cnestis ferruginea leaves, far from being toxic when taken orally, have pharmacological properties that make them a good candidate for the development of new drugs.

Zenodo (CERN European Organization for Nuclear Research)
Université Alassane Ouattara (CI), Université Félix Houphouët-Boigny (CI)
Clean water and sanitation
Openalex Percentile: Top 28%
Ethnobotanical and Medicinal Plants Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.