Predicting the fertilizing potential of human sperm suspensions in vitro: importance of sperm morphology and leukocyte contamination

Sukcharoen, Nares; Keith, John M.; Irvine, D. Stewart; Aitken, R. John

doi:10.1016/s0015-0282(16)57614-6

Cited by 127 publications

(97 citation statements)

References 22 publications

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“…Moreover, this is even more the case as other external parameters, such as leukocytes, do influence the fertilizing potential of individual spermatozoa as well as of whole sperm population. 206,207 Influence of the oxidative status and leukocytes on sperm function Previous findings revealed that leukocyte-derived extrinsic ROS production is positively correlated with the sperm cell's own intrinsic ROS production, 34,208 and could clearly be confirmed in this study. The noticeably lower correlation coefficient and level of significance for the correlation between the number of leukocytes in the ejaculate and intrinsic ROS production, as compared to the correlation between the number of leukocytes in the ejaculate and extrinsic ROS production, is indicative for a different action of ROS from a different origin.…”

Section: Discussionsupporting

confidence: 77%

Sperm function and assisted reproduction technology

Henkel¹,

Maass²,

Bödeker³

et al. 2005

Reprod Med Biol

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The evaluation of different functional sperm parameters has become a tool in andrological diagnosis. These assays determine the sperm's capability to fertilize an oocyte. It also appears that sperm functions and semen parameters are interrelated and interdependent. Therefore, the question arose whether a given laboratory test or a battery of tests can predict the outcome in in vitro fertilization (IVF).One-hundred and sixty-one patients who underwent an IVF treatment were selected from a database of 4178 patients who had been examined for male infertility 3 months before or after IVF. Sperm concentration, motility, acrosin activity, acrosome reaction, sperm morphology, maternal age, number of transferred embryos, embryo score, fertilization rate and pregnancy rate were determined. In addition, logistic regression models to describe fertilization rate and pregnancy were developed. All the parameters in the models were dichotomized and intra-and interindividual variability of the parameters were assessed. Although the sperm parameters showed good correlations with IVF when correlated separately, the only essential parameter in the multivariate model was morphology. The enormous intra-and interindividual variability of the values was striking. In conclusion, our data indicate that the andrological status at the end of the respective treatment does not necessarily represent the status at the time of IVF. Despite a relatively low correlation coefficient in the logistic regression model, it appears that among the parameters tested, the most reliable parameter to predict fertilization is normal sperm morphology. (Reprod Med Biol 2005; 4: 7-30) Key words: assisted reproduction, high intra-and interindividual variability, multivariate approach, prediction of outcome of IVF, sperm functions.

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Section: Discussionsupporting

confidence: 77%

Sperm function and assisted reproduction technology

Henkel¹,

Maass²,

Bödeker³

et al. 2005

Reprod Med Biol

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“…High ROS production in sperm preparations was also associated with poor fertilization in an in vitro fertilization (IVF) treatment [39].…”

Section: Effect Of Vitamin E and Selenium Of Semenmentioning

confidence: 99%

Sperm Oxidative Stress and the Effect of an Oral Vitamin E and Selenium Supplement on Semen Quality in Infertile Men

Keskes¹,

Feki-Chakroun²,

Rebaï³

et al. 2003

Archives of Andrology

300

128

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“…Kathiravan et al (2011) reported that only the parameters VCL, VSL, VAP can be used to predict in vivo fertility. Other researchers reached the same conclusion, moreover adding that the parameters STR, LIN, ALH did not affiliate with in vivo fertility of bulls (Sukcharoen et al, 1995(Sukcharoen et al, , 1998. Finally, several sperm motion characteristics, such as total motility, progressive motility or BCF, were found to be predictors of bovine in vivo fertility (Oliveira et al, 2013).…”

Section: Bull Semenmentioning

confidence: 75%

Proper use and impact of ‘Computer Assisted Semen Analysis’ technique on semen evaluation of farm animals

Michos

Basioura

Boscos

et al. 2017

J Hellenic Vet Med Soc

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Objective of this review is to present the use of ‘Computer Assisted Semen Analysis’ technique application in farm animal health management, in particular the steps for accurate semen evaluation and the impact of the method in predicting male animal fertility under field conditions. Requirements for proper use of the equipment, factors affecting the evaluation process and the role of the estimated parametres for fertility under field conditions are described. Special reference is made in sperm motility evaluation. It is concluded that the method is an effective and efficient tool for semen evaluation, provided good practices are strictly applied and adhered to, by means of which valid results may be obtained.

show abstract

Predicting the fertilizing potential of human sperm suspensions in vitro: importance of sperm morphology and leukocyte contamination

Cited by 127 publications

References 22 publications

Sperm function and assisted reproduction technology

Sperm function and assisted reproduction technology

Sperm Oxidative Stress and the Effect of an Oral Vitamin E and Selenium Supplement on Semen Quality in Infertile Men

Proper use and impact of ‘Computer Assisted Semen Analysis’ technique on semen evaluation of farm animals

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