Male reproductive health: cause for concern?

Irvine, D. Stewart

doi:10.1046/j.1439-0272.2000.00388.x

Cited by 32 publications

(18 citation statements)

References 132 publications

(146 reference statements)

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“…Compounds that interfere with or stimulate these factors may influence AR. Chromatin in the mature spermatozoa is tightly condensed, and peroxidative damage from agents in the external environment may cause unwinding or decondensation of the chromatin [61].…”

Section: Discussionmentioning

confidence: 99%

Effects of Panax ginseng, zearalenol, and estradiol on sperm function

Gray

Lackey

Boone

2016

Journal of Ginseng Research

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BackgroundEstrogen signaling pathways are modulated by exogenous factors. Panax ginseng exerts multiple activities in biological systems and is classified as an adaptogen. Zearalenol is a potent mycoestrogen that may be present in herbs and crops arising from contamination or endophytic association. The goal of this study was to investigate the impact of P. ginseng, zearalenol and estradiol in tests on spermatozoal function.MethodsThe affinity of these compounds for estrogen receptor (ER)—alpha and beta (ERα and ERβ)—was assessed in receptor binding assays. Functional tests on boar spermatozoa motility, movement and kinematic parameters were conducted using a computer-assisted sperm analyzer. Tests for capacitation, acrosome reaction (AR), and chromatin decondensation in spermatozoa were performed using microscopic analysis.ResultsZearalenol—but not estradiol (E2)- or ginseng-treated spermatozoa—decreased the percentage of overall, progressive, and rapid motile cells. Zearalenol also decreased spontaneous AR and increased chromatin decondensation. Ginseng decreased chromatin decondensation in response to calcium ionophore and decreased AR in response to progesterone (P4) and ionophore.ConclusionZearalenol has adverse effects on sperm motility and function by targeting multiple signaling cascades, including P4, E2, and calcium pathways. Ginseng protects against chromatin damage and thus may be beneficial to reproductive fitness.

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Section: Discussionmentioning

confidence: 99%

Effects of Panax ginseng, zearalenol, and estradiol on sperm function

Gray

Lackey

Boone

2016

Journal of Ginseng Research

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“…Furthermore, environmental toxins have been welldocumented in their deleterious effects on male reproductive function [35,40,56]. Numerous studies implicate such toxicants in inducing DNA fragmentation and chromatin damage and impairing testicular function [56][57][58][59]. Much research has focused on oxidative stress: its pathological implications with regards to reproductive health as well as its etiology in environmental toxicants [60].…”

Section: Os and Testicular Apoptosis: Inimical Role Of Environmental mentioning

confidence: 99%

Environmental Toxicants and Testicular Apoptosis

Mathur¹,

Huang²,

Kashou³

et al. 2011

TORSJ

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When apoptosis is improperly activated or regulated in the testis, infertility or even cancer can result. Studies have implicated elevated rates of apoptosis in infertile male patients. Pinpointing how environmental toxicity affects apoptosis is important for the advancement of preventative medicine and behavior, especially as potentially harmful compounds continue to proliferate in households and workplaces. Moreover, familiarity with testicular processes, particularly the induction of apoptosis, is essential for promoting male fertility. This review examines environmental toxicants that have been implicated in testicular apoptosis. We elucidate the mechanistic pathways through which specific xenobiotic compounds trigger cell death in the testis. This review highlights the role of oxidative stress in mediating these apoptotic actions.

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“…Several studies show a decrease in semen parameters of men [8,9] and there are also some studies which found no evidence of that decline [10,11]. Probable decline in semen quality is due to several factors such as occurrence of male reproductive diseases [12,13], environmental or occupational factors [14,15], certain lifestyle [16,17]. Semen analysis is the keystone of the male study [18].…”

Section: Introductionmentioning

confidence: 99%

Seminal quality prediction using data mining methods

Sahoo

Kumar

2014

THC

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BACKGROUND: Now-a-days, some new classes of diseases have come into existences which are known as lifestyle diseases. The main reasons behind these diseases are changes in the lifestyle of people such as alcohol drinking, smoking, food habits etc. After going through the various lifestyle diseases, it has been found that the fertility rates (sperm quantity) in men has considerably been decreasing in last two decades. Lifestyle factors as well as environmental factors are mainly responsible for the change in the semen quality. OBJECTIVE: The objective of this paper is to identify the lifestyle and environmental features that affects the seminal quality and also fertility rate in man using data mining methods. METHOD: The five artificial intelligence techniques such as Multilayer perceptron (MLP), Decision Tree (DT), Navie Bayes (Kernel), Support vector machine + Particle swarm optimization (SVM + PSO) and Support vector machine (SVM) have been applied on fertility dataset to evaluate the seminal quality and also to predict the person is either normal or having altered fertility rate. While the eight feature selection techniques such as support vector machine (SVM), neural network (NN), evolutionary logistic regression (LR), support vector machine plus particle swarm optimization (SVM + PSO), principle component analysis (PCA), chi-square test, correlation and T-test methods have been used to identify more relevant features which affect the seminal quality. These techniques are applied on fertility dataset which contains 100 instances with nine attribute with two classes. RESULTS: The experimental result shows that SVM + PSO provides higher accuracy and area under curve (AUC) rate (94% & 0.932) among multi-layer perceptron (MLP) (92% & 0.728), Support Vector Machines (91% & 0.758), Navie Bayes (Kernel) (89% & 0.850) and Decision Tree (89% & 0.735) for some of the seminal parameters. This paper also focuses on the feature selection process i.e. how to select the features which are more important for prediction of fertility rate. In this paper, eight feature selection methods are applied on fertility dataset to find out a set of good features. The investigational results shows that childish diseases (0.079) and high fever features (0.057) has less impact on fertility rate while age (0.8685), season (0.843), surgical intervention (0.7683), alcohol consumption (0.5992), smoking habit (0.575), number of hours spent on setting (0.4366) and accident (0.5973) features have more impact. It is also observed that feature selection methods increase the accuracy of above mentioned techniques (multilayer perceptron 92%, support vector machine 91%, SVM + PSO 94%, Navie Bayes (Kernel) 89% and decision tree 89%) as compared to without feature selection methods (multilayer perceptron 86%, support vector machine 86%, SVM + PSO 85%, Navie Bayes (Kernel) 83% and decision tree 84%) which shows the applicability of feature selection methods in prediction. CONCLUSION: This paper lightens the application of artificial techniques in medical...

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Male reproductive health: cause for concern?

Cited by 32 publications

References 132 publications

Effects of Panax ginseng, zearalenol, and estradiol on sperm function

Effects of Panax ginseng, zearalenol, and estradiol on sperm function

Environmental Toxicants and Testicular Apoptosis

Seminal quality prediction using data mining methods

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