Neural network assessment of herbal protection against chemotherapeutic- induced reproductive toxicity

Amr Amin, Doaa Mahmoud-Ghoneim, Muhammed I. Syam, Sayel Daoud

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

The aim of this study is to assess the protective effects of Ginkgo biloba's (GB) extract against chemotherapeutic-induced reproductive toxicity using a data mining tool, namely Neural Network Clustering (NNC) on two types of data: biochemical & fertility indicators and Texture Analysis (TA) parameters. GB extract (1 g/kg/day) was given orally to male albino rats for 26 days. This period began 21 days before a single cisplatin (CIS) intraperitoneal injection (10 mg/kg body weight). GB given orally significantly restored reproductive function. Tested extract also notably reduced the CIS-induced reproductive toxicity, as evidenced by restoring normal morphology of testes. In GB, the attenuation of CIS-induced damage was associated with less apoptotic cell death both in the testicular tissue and in the sperms. CIS-induced alterations of testicular lipid peroxidation were markedly improved by the examined plant extract. NNC has been used for classifying animal groups based on the quantified biochemical & fertility indicators and microscopic image texture parameters extracted by TA. NNC showed the separation of two clusters and the distribution of groups among them in a way that signifies the dose-dependent protective effect of GB. The present study introduces the neural network as a powerful tool to assess both biochemical and histopathological data. We also show here that herbal protection against CIS-induced reproductive toxicity utilizing classic methodologies is validated using neural network analysis.

Original languageEnglish
Article number1
JournalTheoretical Biology and Medical Modelling
Volume9
Issue number1
DOIs
Publication statusPublished - 2012

ASJC Scopus subject areas

  • Modelling and Simulation
  • Health Informatics

Fingerprint

Dive into the research topics of 'Neural network assessment of herbal protection against chemotherapeutic- induced reproductive toxicity'. Together they form a unique fingerprint.

Cite this