The role of sperm creatine kinase in the assessment of male fertility

1994 ◽  
Vol 3 (3) ◽  
pp. 179-197 ◽  
Author(s):  
Gabor Huszar

The lack of reliable methods to assess sperm fertilizing potential has been a long-standing problem for infertile couples and for their physicians. The most widely used tests, the measurements of sperm concentrations, motility, velocity and morphology in the ejaculate, are of limited utility. Indeed, following intrauterine insemination, a treatment that compensates for low motile sperm concentrations, there were no significant differences found in semen parameters among those who did or did not achieve pregnancies. Other available assays probing for selected sperm functions, such as membrane integrity, acrosome enzyme activity, bovine cervical mucus penetration test, zona-free hamster oocyte penetration test and sperm binding to various carbohydrates,10–13 have all failed thus far to consistently predict male fertility. It became increasingly obvious that there was a need to identify cellular markers of sperm quality and fertilizing potential.

2020 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Leili Darvish ◽  
Azadeh Amraee ◽  
Marjan Akhavan Amjadi ◽  
Zahra Atarodi Kashani ◽  
Masoumeh Ghazanfarpour ◽  
...  

Context: As the use of cellphones and other electronic devices increases, concerns about the possible effect of radiofrequency waves on health are growing. Long-term use of the cellphone may have negative effects on sperm quality. Objectives: The purpose of this research was to examine men's infertility due to the effect of radiofrequency waves. Methods: In this systematic review, language restrictions were not considered in searching the databases. Cochrane Library, Google Scholar, PubMed, EMBASE, ProQuest, CINAHL, Science Direct, MEDLINE, and Scopus were used to obtain the data from them. All data were scanned from the year 2000 until 2019. Papers selected for retrieval were evaluated by the Newcastle-Ottawa and CONSORT scales. Results: A total of 14 articles that met the inclusion criteria were ultimately assessed. Motile sperm, sperm vitality and membrane integrity, morphology, volume, total sperm count, sperm concentration, and sperm fertility were found to be influenced by radiofrequency waves. Conclusions: The results showed that RF has detrimental effects on semen parameters and due to an increase in RF wave use currently and its role in male infertility, giving information to men about adverse complications of RF is necessary. Further studies are needed to design the less harmful devices.


2016 ◽  
Vol 12 (3) ◽  
pp. 617-623 ◽  
Author(s):  
Roshanak Aboutorabi ◽  
Soudabeh Zamani ◽  
Yasaman Zarrin ◽  
Fatemeh Sadat Mostafavi

Intrauterine insemination (IUI) is a treatment of choice compared with other invasive and expensive techniques of assisted reproduction. Sperm quality is used to predict its outcome and success. Establishing threshold levels for sperm parameters is useful to avoid spending time and money to do other assisted reproductive techniques. This study was carried out to compare various semen parameters in a group of men eligible to participate in an IUI program with those of fertile men whose wives were pregnant at the time of the study. Two hundred and thirty-four semen samples were evaluated from subfertile men whose partners were candidates for IUI and 234 semen samples were evaluated from fertile men whose partners were pregnant less than 12 weeks. To assess the sensitivity and specificity of the main semen parameters, receiver operating characteristic (ROC) curves were used. Normal sperm morphology is more sensitive and specific compared with its progressive motility and concentration. No significant differences in various semen parameters of fertile men and those of the male partners of IUI candidates were observed. ROC analysis identified that sperm normal morphology using strict criteria may be a good indicator of fertility status in men. No significant difference in various semen parameters between the male partners of IUI candidates and the fertile men was seen. However, utilizing ROC curves, sperm morphology using strict criteria could be a good predictor of fertility.


2021 ◽  
Vol 10 (7) ◽  
pp. 1460
Author(s):  
Artur Wdowiak ◽  
Mariusz Gujski ◽  
Iwona Bojar ◽  
Dorota Raczkiewicz ◽  
Joanna Bartosińska ◽  
...  

Recent evidence indicates that a systemic state of inflammation may exert a negative effect on male fertility. The aim of this study is to evaluate sperm quality parameters in male patients with ulcerative colitis (UC). Between December 2019 and December 2020 semen analyses are performed in 50 patients with UC in clinical remission. The control group consists of 50 healthy volunteers. Total sperm count, sperm count, percentage of morphologically normal spermatozoa, viability, and progressive motility, are significantly lower in the study group than in healthy males (p < 0.001). The DNA fragmentation index (DFI) and oxidation-reduction potential (ORP) are significantly higher in the study group (28.9% and 1.55% on average, respectively) than in healthy males (14.6% and 0.79% on average, respectively). Bacteriospermia is more clearly observed in the study group (p = 0.037), and the most frequent pathogen is Enterococcus faecalis. The DFI and ORP are significantly higher in bacteria carriers, compared to males without microbial pathogens from both the study and control groups (p < 0.001). To conclude, UC patients have worse basic sperm parameters compared to their healthy counterparts. Deterioration of semen parameters, as well as an intensified DNA fragmentation could be a result of oxidative stress intensification.


2005 ◽  
Vol 17 (2) ◽  
pp. 155
Author(s):  
J. Ballester ◽  
A. Johannisson ◽  
M. Håård ◽  
H. Gustafsson ◽  
H. Rodriguez-Martinez

There is increasing interest in decreasing the number of spermatozoa per AI dose, owing to the discrimination of threshold concentration and fertility, economical revenues and the use of sexed semen. This study evaluated the quality (as sperm viability, acrosome integrity, membrane stability and chromatin stability) post-thaw of semen collected from four elite AI sires and frozen at 15 × 106 (control) or 2 × 106 spermatozoa (spz) per dose to disclose eventual deleterious extension effects. Semen collected via a.v. from 4 élite AI sires was split-processed and frozen in 0.25 mL plastic straws under commercial conditions, at either 2 × 106 or 15 × 106 spz/straw (the latter as control). The semen parameters were within acceptable limits of normality. The post-thaw samples showed acceptable motility (above 50%). Sperm viability and stability were assessed post-thaw using flow cytometry of cells loaded with SYBR-14 and propidium iodide (PI) for sperm viability (membrane integrity), and with carboxy-SNARF-1 (SNARF; Invitrogen AB, Frolunda, Sweden), PI, and FITC-Pisum sativum agglutinin (PSA, triple stain) for acrosome status. Membrane stability status was measured with Annexin-V/PI, while sperm chromatin condensation and stability were assessed following in situ acid-induced DNA denaturation and staining with acridine orange. No significant differences were seen between the two concentrations regarding sperm motility, plasma membrane integrity (SYBR/PI, SNARF), or chromatin stability. The highly extended semen (2 × 106 spz/straw), however, showed a higher (P < 0.05) frequency of spermatozoa with translocated phosphatydil serine (as detected with Annexin-V), indicating their plasma membranes had become unstable. Also, there were more spermatozoa showing acrosomal damage (PSA). In conclusion, low concentrations of spermatozoa do not properly sustain conventional cryopreservation, although damages appear restricted to the sperm membrane. These changes in the stability of the plasma membrane apparently did not affect the viability of the spermatozoa, although they may negatively affect their lifespan. These findings may have an impact on the care that must be taken when cryopreserving low concentrations of spermatozoa with conventional freezing protocols. This work was supported by the Swedish Farmers’ Foundation for Research in Agriculture (SLF) and FORMAS, Stockholm.


2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
A Torre ◽  
F Boitrelle ◽  
N Swierkowsk. Blanchard ◽  
K Fathallah ◽  
M Bendayan ◽  
...  

Abstract Study question Are parameters of sperm quality part of the prognosis factors for an infertile couple to obtain a live birth when entering an intrauterine insemination program considering repetition of attempts? Summary answer Paradoxically, a lower sperm morphology independently predict quick live birth through IUI, as well as younger female age, lower D3 FSH, and higher triggering estradiol. What is known already Many studies have highlighted different prognosis factors for obtaining a live birth after IUI involving: male parameters (semen),female parameters (age, parity, ovulation, tubal, and endometriosis status, history of pelvic surgery),couple parameters (duration of infertility, number of previous attempt),IUI parameters (follicle number, endometrial thickness, estradiol at triggering, day of IUI, number of spermatozoa inseminated). However, most of these studies have included small number of attempts, semen parameters were either not collected or assessed with heterogeneity, and repetition of attempts (although iconic for IUI) was not considered, allocating inappropriate weight to cycles which failed in conceiving. Study design, size, duration We retrospectively studied the entire cohort of IUI attempts carried out with partner’s sperm at our center between 09/09/2003 and 01/17/2017. We included all male, female, couple and IUI parameters available. Each basic semen analyzes included have been carried out by a restricted number of skilled andrologists from our center. The closest semen assessment performed before IUI was considered as male parameter. IUI attempts were considered repeated unless a live birth or IUI abandonment occurred. Participants/materials, setting, methods Our primary outcome was live birth occurrence. We included 2228 couples having performed 5920 IUI attempts, with 636 live births obtained. A mixed logistic regression model was used to take into account IUI repetition before obtaining a live birth. A survival analysis using Cox model, with IUI rank as time variable, live birth as endpoint, and taking into account recurrences was carried out to determine which parameter best predict a quick live birth through IUI. Main results and the role of chance Included women were 33.7 ± 4.6 years old in mean. Baseline semen assessment was available for 64% of couples. Muti-variate analysis showed that live birth was more frequent when: Femal factors: age was young (33 to 38yo, OR 0.76 [0.60;0.96], &gt;38 yo OR 0.49 [0.35;0.67], p = 0.0001), FSH ≤ 8.0 (OR 0.59 [0.45;0.79], p = 0.0002), AMH &gt; 8.9ng/mL (OR 0.59 [0.45;0.79], p = 0.0001), endometriosis was absent (OR 0.56 [0.36;0.88], p = 0.0109), the patient already delivered (OR 1.36 [1.06;1.74], p = 0.0034) Male factors: sperm motility ≤26.0% (OR 0.71 [0.53;0.96], p = 0.0062), sperm vitality ≤72.0% (OR 0.65 [0.47;0.90], p = 0.0032), sperm typical form ≤ 25.0% (OR 0.51 [0.34 ; 0.78], p = 0.0016), IUI attempt factors: total dose of gonadotropin &gt; 495.0 (OR 1.54 [1.26;1.88], p = 0.0001) follicle number &gt; 2 (OR 1.23 [1.69;2.21], p = 0.0296), Estradiol at trigerring &gt; 215.0pg/ml (OR 1.90 [1.53;2.36], p = 0.0001), Endometrial thickness &gt;9.6mm (OR 1.43, p = 0.0024), day of IUI &gt;13 (1.53 [1.24;1.89], p = 0.0001). Using Cox model, couples obtained quickly a livebirth if: woman age was below 33yo: For 33 to 38 yo, OR 0.37 [0.25;0.54], p = 0.0001, &gt;38yo OR 0.19 [0.11;0.32], p = 0.0001 D3 FSH&lt;8 (if above, OR 0.55 [0.34;0.90], p = 0.0160) - Sperm typical form ≤25.0 (if above, OR 0.34 [0.20;0.58], p = 0.0001) Triggering estradiol &gt;215.0pg/ml, OR 1.99 [1.51;2.63], p = 0.0001) Limitations, reasons for caution Baseline semen assessment was missing a bit more when cycles were successful, so that a bias connot be excluded. This weird result concerning semen parameters which appear to lower the live birth rate when they are good should thus be considered with caution. Wider implications of the findings: Good baseline semen parameters do not appear as primordial for obtaining an IUI live birth, and were even found deleterious. However, thresholds highlighted in the present study were high, i.e. of limited clinical mean, and semen below them to remain normal. After confirming, explanations should be investigated: excessive acrosome reaction. Trial registration number Not applicable


2012 ◽  
Vol 153 (45) ◽  
pp. 1787-1792 ◽  
Author(s):  
Mária Horváth ◽  
Endre Czeizel

Introduction: There is a decline in male fertility thus new treatments are needed. Aims: To test the efficacy of a new dietary supplement developed in the USA and registered as a curing drug in Hungary (OGYI). Methods: In a clinical trial 100 men with low sperm quality (spermium count 5–20 M/ml, good motility 10–40%, and adverse shape 30–50%) were examined. Results: Sperm parameters were measured before and after a 3-month treatment and after another 3-month without treatment. This dietary supplement statistically and clinically significantly improved sperm count and motility. In 74 cases this dietary supplement demonstrated a beneficial effect on sperm quality (more than 10% increase in sperm count, or quality of motility, or shape); in 16 cases the improvement exceeded 30%. No adverse effect could be accounted for this treatment. Conclusions: This new dietary supplement may contribute to the treatment of male infertility. Orv. Hetil., 2012, 153, 1787–1792.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sima Ranjbari ◽  
Toktam Khatibi ◽  
Ahmad Vosough Dizaji ◽  
Hesamoddin Sajadi ◽  
Mehdi Totonchi ◽  
...  

Abstract Background Intrauterine Insemination (IUI) outcome prediction is a challenging issue which the assisted reproductive technology (ART) practitioners are dealing with. Predicting the success or failure of IUI based on the couples' features can assist the physicians to make the appropriate decision for suggesting IUI to the couples or not and/or continuing the treatment or not for them. Many previous studies have been focused on predicting the in vitro fertilization (IVF) and intracytoplasmic sperm injection (ICSI) outcome using machine learning algorithms. But, to the best of our knowledge, a few studies have been focused on predicting the outcome of IUI. The main aim of this study is to propose an automatic classification and feature scoring method to predict intrauterine insemination (IUI) outcome and ranking the most significant features. Methods For this purpose, a novel approach combining complex network-based feature engineering and stacked ensemble (CNFE-SE) is proposed. Three complex networks are extracted considering the patients' data similarities. The feature engineering step is performed on the complex networks. The original feature set and/or the features engineered are fed to the proposed stacked ensemble to classify and predict IUI outcome for couples per IUI treatment cycle. Our study is a retrospective study of a 5-year couples' data undergoing IUI. Data is collected from Reproductive Biomedicine Research Center, Royan Institute describing 11,255 IUI treatment cycles for 8,360 couples. Our dataset includes the couples' demographic characteristics, historical data about the patients' diseases, the clinical diagnosis, the treatment plans and the prescribed drugs during the cycles, semen quality, laboratory tests and the clinical pregnancy outcome. Results Experimental results show that the proposed method outperforms the compared methods with Area under receiver operating characteristics curve (AUC) of 0.84 ± 0.01, sensitivity of 0.79 ± 0.01, specificity of 0.91 ± 0.01, and accuracy of 0.85 ± 0.01 for the prediction of IUI outcome. Conclusions The most important predictors for predicting IUI outcome are semen parameters (sperm motility and concentration) as well as female body mass index (BMI).


2021 ◽  
Vol 63 (1) ◽  
Author(s):  
Maja Zakošek Pipan ◽  
Petra Zrimšek ◽  
Breda Jakovac Strajn ◽  
Katarina Pavšič Vrtač ◽  
Tanja Knific ◽  
...  

ABSTRACT Background Wide variation in fertility rates is observed when using frozen bull semen, even when the bulls have met quality standards for semen production. Therefore, a simple and reliable test to assess the freezing potential of bull semen based on the analysis of fresh semen or blood would be of great value. Attention is now turning to assessment of seminal plasma components such as proteins and elements. In the present study, the concentrations of macro- and microelements in fresh bull semen plasma and in serum and their correlation with quality characteristics of fresh semen and with semen quality after freezing and thawing were determined. Ejaculates were collected from 30 mature bulls, and semen volume, concentration, sperm motility, morphology, tail membrane integrity, plasma membrane permeability and DNA fragmentation were determined on the day of collection and after freezing and thawing. The concentrations of macroelements (Na, Mg, K and Ca) and microelements (Cu, Fe, Zn and Se) were determined in the seminal plasma and serum. The semen samples were classified into satisfactory and unsatisfactory groups according to the fresh semen quality. Results Zinc and Se levels measured in serum were associated with almost all fresh and frozen-thawed semen quality characteristics, while Fe levels were associated only with acrosomal defects in fresh semen. Zinc and Fe levels in fresh seminal plasma were associated with various quality characteristics of fresh and frozen-thawed semen, while Se level in fresh seminal plasma was not associated with any of the semen quality characteristics. Conclusions Microelements were shown to be useful as biomarkers involved in the analysis of bull sperm quality and could be used as an additional tool to predict bull semen quality after freezing and thawing. Our results confirm that the analysis of Zn and Se levels in serum and Zn, Cu and Fe levels in fresh seminal plasma can provide information to discriminate between bull semen samples with spermatozoa with high or low cryotolerance.


2021 ◽  
Vol 22 (4) ◽  
pp. 1988
Author(s):  
Francesco Lotti ◽  
Sara Marchiani ◽  
Giovanni Corona ◽  
Mario Maggi

Metabolic syndrome (MetS) and infertility are two afflictions with a high prevalence in the general population. MetS is a global health problem increasing worldwide, while infertility affects up to 12% of men. Despite the high prevalence of these conditions, the possible impact of MetS on male fertility has been investigated by a few authors only in the last decade. In addition, underlying mechanism(s) connecting the two conditions have been investigated in few preclinical studies. The aim of this review is to summarize and critically discuss available clinical and preclinical studies on the role of MetS (and its treatment) in male fertility. An extensive Medline search was performed identifying studies in the English language. While several studies support an association between MetS and hypogonadism, contrasting results have been reported on the relationship between MetS and semen parameters/male infertility, and the available studies considered heterogeneous MetS definitions and populations. So far, only two meta-analyses in clinical and preclinical studies, respectively, evaluated this topic, reporting a negative association between MetS and sperm parameters, testosterone and FSH levels, advocating, however, larger prospective investigations. In conclusion, a possible negative impact of MetS on male reproductive potential was reported; however, larger studies are needed.


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