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Updated: Oct 26, 2025

Evaluation of Intracellular Location of Reactive Oxygen Species in Solea Senegalensis Spermatozoa
Published on: March 11, 2018
Assessment and Establishment of Correlation between Reactive Oxidation Species, Citric Acid, and Fructose Level in
Golnaz Shemshaki1, Ashitha S Niranjana Murthy2, Suttur S Malini1
1Department of Studies in Zoology, University of Mysore, Mysore, Karnataka, India.
Background:
Biochemical complexity of seminal plasma and obesity has an important role in male infertility (MI); so far, it has not been possible to provide evidence of clinical significance for all of them.
Aims:
Our goal here is to evaluate the correlation between biochemical markers with semen parameters, which might play a role in MI.
Study Setting And Design:
We enlisted 100 infertile men as patients and 50 fertile men as controls to evaluate the sperm parameters and biochemical markers in ascertaining MI.
Materials And Methods:
Semen analyses, seminal fructose, citric acid, and reactive oxidation species (ROS) were measured in 100 patients and 50 controls.
Statistical Analysis:
Descriptive statistics, an independent t-test, Pearson correlation, and machine-learning approaches were used to integrate the various biochemical and seminal parameters measured to quantify the inter-relatedness between these measurements.
Results:
Pearson correlation results showed a significant positive correlation between body mass index (BMI) and fructose levels. Citric acid had a positive correlation with sperm count, morphology, motility, and volume but displayed a negative correlation with BMI and basal metabolic rate (BMR). However, BMI and BMR had a positive correlation with ROS. Sperm count, morphology, and motility were negative correlations with ROS. The machine-learning approach detected that pH was the most critical parameter with an inverse effect on citric acid, and BMI and motility were the most critical parameter for ROS.
Conclusion:
We recommend that evaluation of biochemical markers of seminal fluid may benefit in understanding the etiology of MI based on the functionality of accessory glands and ROS levels.

