Metal/metalloid levels in urine and seminal plasma in relation to computer-aided sperm analysis motion parameters

Chemosphere ◽  
2019 ◽  
Vol 214 ◽  
pp. 791-800 ◽  
Author(s):  
Zhen-Zhen Wan ◽  
Heng-Gui Chen ◽  
Wen-Qing Lu ◽  
Yi-Xin Wang ◽  
An Pan
Keyword(s):  
Seminal Plasma ◽  
Sperm Analysis ◽  
Computer Aided ◽  
Motion Parameters

329 COMPARING CHANGES IN MOTION PARAMETERS IN EPIDIDYMAL AND EJACULATED BOAR SPERMATOZOA UNDER THREE DIFFERENT TREATMENTS

2007 ◽  
Vol 19 (1) ◽  
pp. 280
Author(s):  
M. Sansegundo ◽  
J. C. Gardon ◽  
F. Garcia-Vazquez ◽  
J. Gadea ◽  
C. Matas
Keyword(s):  
Seminal Plasma ◽  
Objective Assessment ◽  
Mammalian Species ◽  
Computer Assisted ◽  
Sperm Analysis ◽  
Motion Parameters ◽  
Computer Assisted Sperm Analysis ◽  
Boar Spermatozoa ◽  
Curvilinear Trajectory

The motion ability of mammalian spermatozoa is acquired during their epididymal transit but observed only upon dilution with seminal plasma (SP) at the time of ejaculation (Yanahimachi 1994 in The Physiology of Reproduction, New York: Raven Press). The bicarbonate present in seminal plasma activates multiple sperm functions, some of which are essential for the initiation of motility. Sperm hyperactivity has been observed in vitro in various mammalian species, especially if capacitation of spermatozoa was induced with Ca2+ and bicarbonate media, such as TALP (Harrison et al. 1996 Mol. Reprod. Dev. 45, 378–391). Computer-assisted sperm analysis (CASA) is a tool for the objective assessment of sperm motility. The aim of this study was to determine if there are differences in motility parameters of ejaculated (EJ) and epididymal (EP) boar spermatozoa under different treatments. Ejaculated and epididymal sperm cells from 10 different boars in each group were used. The sperm treatments were: washed in Dulbecco's PBS supplemented with 0.1% BSA (PBS-BSA), washed on a Percoll gradient (PG), and unwashed (UW: Control); the sperm samples were incubated in TALP medium at 38.5°C and 5% CO2 during the analysis. Motion parameters were determined using a computer-assisted sperm analysis (CASA) system. A 7-µL drop of the sample was placed on a warmed (37°C) slide. At least 4 fields per sample were evaluated, with a minimum of 100 spermatozoa counted per sub-sample. The CASA-derived motility characteristics studied were motility (MOT, %), progressive motility (PM, %), curvilinear velocity (VCL, µm s−1), straight-line velocity (VSL, µm s−1), average path velocity (VAP, µm s−1), linearity of the curvilinear trajectory (LIN, ratio of VSL/VCL, %), straightness (STR, ratio of VSL/VAP, %), amplitude of lateral head displacement (ALH, µm), wobble of the curvilinear trajectory (WOB, ratio of VAP/VCL, %), and beat cross-frequency (BCF, Hz). Data were analyzed by ANOVA. If we evaluated all of the data together (EJ vs. EP), EP sperm after treatment showed a higher motility (PM: 38.20%; MOT: 74.23%) than EJ sperm (PM: 29.27%; MOT: 63.24%), and all of the motion parameters related to velocities and ALH were higher in EP (VCL: 86.02; VSL: 41; VAP: 57.94; ALH: 3.21) than in EJ (VCL: 69.70; VSL: 34.67; VAP: 48.16; ALH: 2.54). No differences were found for LIN, STR, WOB, and BCF. The treatments significantly affected the VCL and ALH, with lower values for the PG treatment. When VCL was lower and the VSL and VAP were similar, consequently the LIN and WOB were significantly higher for the PG group. STR also was higher for the PG group. In conclusion, when both groups of sperm were incubated in TALP medium, the EJ sperm showed a decrease in the majority of motion parameters when compared with EP sperm. This work was supported by MEC (AGL2006-03495/GAN) and Fundación Séneca (03018/PI/05).

scholarly journals The Relationship Between Environmental Exposure to Phthalates and Computer-Aided Sperm Analysis Motion Parameters

2004 ◽  
Vol 25 (2) ◽  
pp. 293-302 ◽  
Author(s):  
Susan M. Duty ◽  
Antonia M. Calafat ◽  
Manori J. Silva ◽  
John W. Brock ◽  
Louise Ryan ◽  
...  
Keyword(s):  
Environmental Exposure ◽  
Sperm Analysis ◽  
Computer Aided ◽  
Motion Parameters ◽  
The Relationship

scholarly journals Thawing boar semen in the presence of seminal plasma improves motility, modifies subpopulation patterns and reduces chromatin alterations

2017 ◽  
Vol 29 (8) ◽  
pp. 1576 ◽  
Author(s):  
Rocío Fernández-Gago ◽  
Manuel Álvarez-Rodríguez ◽  
Marta E. Alonso ◽  
J. Ramiro González ◽  
Beatriz Alegre ◽  
...  
Keyword(s):  
Seminal Plasma ◽  
Chromatin Structure ◽  
Sperm Chromatin ◽  
Chromatin Compaction ◽  
Sperm Analysis ◽  
Positive Effects ◽  
Fragmentation Index ◽  
Non Linear ◽  
Boar Semen ◽  
Dna Fragmentation Index

Seminal plasma could have positive effects on boar semen after thawing. In the present study we investigated changes in the motility and chromatin structure in spermatozoa over 4 h incubation (37°C) of boar semen thawed in the presence of 0%, 10% or 50% seminal plasma from good-fertility boars. Cryopreserved doses were used from seven males, three of which were identified as susceptible to post-thawing chromatin alterations. Motility was analysed by computer-aided sperm analysis every hour, and data were used in a two-step clustering, yielding three subpopulations of spermatozoa (slow non-linear, fast non-linear, fast linear). Chromatin structure was analysed using a sperm chromatin structure assay and flow cytometry to determine the DNA fragmentation index (%DFI) as a percentage, the standard deviation of the DFI (SD-DFI) and the percentage of high DNA stainability (%HDS), indicating chromatin compaction. Thawing without seminal plasma resulted in a rapid loss of motility, whereas seminal plasma helped maintain motility throughout the incubation period and preserved the subpopulation comprising fast and linear spermatozoa. The incidence of chromatin alterations was very low in samples from non-susceptible males, whereas samples from males susceptible to post-thawing chromatin alterations exhibited marked alterations in %DFI and %HDS. Seminal plasma partly prevented these alterations in samples from susceptible males. Overall, 50% seminal plasma was the most efficient concentration to protect motility and chromatin. Some changes were concomitant with physiological events reported previously (e.g., semen thawed with 50% seminal plasma increased the production of reactive oxygen species and yielded higher fertility after AI). Thawing in the presence of seminal plasma could be particularly useful in the case of samples susceptible to post-thawing chromatin damage.

Application of computer-aided sperm analysis (CASA) for detecting sperm-immobilizing antibody

2018 ◽  
Vol 79 (3) ◽  
pp. e12814 ◽  
Author(s):  
Yu Wakimoto ◽  
Atsushi Fukui ◽  
Teruhito Kojima ◽  
Akiko Hasegawa ◽  
Minoru Shigeta ◽  
...  
Keyword(s):  
Sperm Analysis ◽  
Computer Aided ◽  
Sperm Immobilizing Antibody

scholarly journals Induced hyperactivity in boar spermatozoa and its evaluation by computer-assisted sperm analysis

Reproduction ◽  
2004 ◽  
Vol 128 (2) ◽  
pp. 171-179 ◽  
Author(s):  
Harald Schmidt ◽  
Günter Kamp
Keyword(s):  
Seminal Plasma ◽  
Roc Curve ◽  
Curve Analysis ◽  
Computer Assisted ◽  
Ionophore A23187 ◽  
Threshold Values ◽  
Roc Curve Analysis ◽  
Sperm Analysis ◽  
Computer Assisted Sperm Analysis ◽  
Boar Spermatozoa

Hyperactivity, a form of sperm motility characterized by vigorous flagellar movements, has been proposed as essential for fertilization in mammals. The objective of the present study was to establish a method for inducing hyperactivityin vitroin boar spermatozoa and to define threshold values to differentiate between hyperactive and non-hyperactive spermatozoa by computer-assisted sperm analysis (CASA) as a prerequisite for analyzing the energy metabolism during hyperactivity. In TALP-HEPES medium, non-frozen boar spermatozoa were stimulated to hyperactivity by 50 μmol l−1Ca2+within 15 min at 37 °C if 5 μmol l−1of the Ca2+ionophore A23187 was present. If 25% seminal plasma was present, boar spermatozoa required higher Ca2+concentrations (about 700 μmol l−1) for hyperactivity. Under both conditions, immobilization and head-to-head agglutination were low so that hyperactive spermatozoa could be analyzed for at least 40 min. The transition from normal to hyperactive movement was characterized by an increase in flagellar beat angle from 49° ± 12° to 200° ± 36° (n= 32) and a decrease in flagellar curvature ratio from 0.89 ± 0.04 to 0.47 ± 0.11 (n= 32). For quantification of hyperactive boar sperm, kinematic parameters of hyperactive and non-hyperactive spermatozoa were measured by CASA and statistically evaluated (receiver operating characteristic (ROC) curve analysis). The threshold values of the following four parameters were well suited for differentiating between hyperactive and non-hyperactive boar spermatozoa (ROC curve analysis: >50% specificity at 100% sensitivity). Hyperactive boar spermatozoa showed mean lateral head displacement >3.5 μm, curvilinear velocity >97 μm s−1, linearity <32% and wobble <71%. According to this multiparametric definition, induction of hyperactivity increased significantly (P< 0.0001) the fraction of hyperactive spermatozoa in semen samples from 5.1 ± 4.3% (n= 13) to 48.3 ± 6.6% (n= 7) in the absence and to 44.2 ± 7.6% (n= 10) in the presence of 25% seminal plasma, while the overall percentage of motile spermatozoa did not change significantly.

A novel method of sperm immobilization test applied with computer-aided sperm analysis (CASA)

2017 ◽  
Vol 124 ◽  
pp. 75
Author(s):  
Yu Wakimoto ◽  
Teruhito Kojima ◽  
Akiko Hasegawa ◽  
Atushi Fukui ◽  
Minoru Shigeta ◽  
...  
Keyword(s):  
Sperm Analysis ◽  
Computer Aided ◽  
Novel Method ◽  
Sperm Immobilization

CASA—Computer-Aided Sperm Analysis

2018 ◽  
pp. 59-63
Author(s):  
Sharon T Mortimer ◽  
Christopher J De Jonge
Keyword(s):  
Sperm Analysis ◽  
Computer Aided

scholarly journals CASA: tracking the past and plotting the future

2018 ◽  
Vol 30 (6) ◽  
pp. 867 ◽  
Author(s):  
M. T. Gallagher ◽  
D. J. Smith ◽  
J. C. Kirkman-Brown
Keyword(s):  
Gold Standard ◽  
New Technologies ◽  
Semen Analysis ◽  
Computational Approach ◽  
Human Semen ◽  
Laboratory Staff ◽  
Sperm Analysis ◽  
The Past ◽  
Computer Aided ◽  
The Future

The human semen sample carries a wealth of information of varying degrees of accessibility ranging from the traditional visual measures of count and motility to those that need a more computational approach, such as tracking the flagellar waveform. Although computer-aided sperm analysis (CASA) options are becoming more widespread, the gold standard for clinical semen analysis requires trained laboratory staff. In this review we characterise the key attitudes towards the use of CASA and set out areas in which CASA should, and should not, be used and improved. We provide an overview of the current CASA landscape, discussing clinical uses as well as potential areas for the clinical translation of existing research technologies. Finally, we discuss where we see potential for the future of CASA, and how the integration of mathematical modelling and new technologies, such as automated flagellar tracking, may open new doors in clinical semen analysis.

scholarly journals Quantitative assessment of heavy metal effects on sperm function using computer-aided sperm analysis and cytotoxicity assays

Andrologia ◽  
2018 ◽  
Vol 50 (10) ◽  
pp. e13141 ◽  
Author(s):  
Farren Hardneck ◽  
Gadieja Israel ◽  
Edmund Pool ◽  
Liana Maree
Keyword(s):  
Heavy Metal ◽  
Quantitative Assessment ◽  
Sperm Function ◽  
Sperm Analysis ◽  
Cytotoxicity Assays ◽  
Computer Aided

20 Assessment of Motion and Kinematic Characteristics of Semen from Four Cattle Breeds Using Computer-Aided Sperm Analysis

2018 ◽  
Vol 30 (1) ◽  
pp. 149
Author(s):  
M. L. Mphaphathi ◽  
M. M. Seshoka ◽  
T. R. Netshirovha ◽  
Z. C. Raphalalani ◽  
N. Bovula ◽  
...  
Keyword(s):  
Objective Evaluation ◽  
Semen Parameters ◽  
Sperm Cells ◽  
Sperm Analysis ◽  
Progressive Motility ◽  
Cattle Breeds ◽  
Bull Semen ◽  
Head Displacement ◽  
Computer Aided ◽  
Sperm Motion

Subjective semen evaluation using standard optical microscopy is the most common practice. Semen parameters routinely assessed are volume, concentration, progressive motility, and morphology. However, computer-aided sperm analysis (CASA) represents an objective evaluation, sperm assessment that are reproducible and reliable. Such semen parameters have not been evaluated in Afrikaner, Brahman, and Bonsmara bulls’ semen. The present study evaluated the sperm motion and kinematics characteristics of semen from stud Afrikaner, Brahman, Bonsmara, and Nguni bulls using CASA technology. The electro-ejaculator was used for semen collection from Afrikaner (n = 11), Brahman (n = 7), Bonsmara (n = 10) and Nguni (n = 16) bulls of known and proven fertility. Semen was collected following 4 days of resting period. The bulls ranged between 5 and 6 years of age. After collection, the semen samples were immediately transferred to a thermo-flask and maintained at 37°C for further evaluation in the mobile laboratory (Nedambale, 2014). The CASA-Sperm Class Analyzer® system (Microptic, Barcelona, Spain) was used to evaluate sperm motion, velocity, and kinematic parameters or characteristics of raw/fresh semen from 4 cattle breeds. Data were analysed using GenStat® statistical programme (VSN International, Hemel Hempstead, United Kingdom). Treatment means were compared using one-way ANOVA. The total sperm motility rate was similar for all breeds: Afrikaner (92.2 ± 4.2), Brahman (90.7 ± 9.0), Bonsmara (93.9 ± 4.0), and Nguni (96.0 ± 2.7). However, Brahman and Afrikaner bull semen had higher sperm cells moving in a progressive motility of 57.3 and 45.6%, respectively, compared with other breeds (P < 0.05). Nguni, Afrikaner, and Bonsmara had the highest sperm cells moving in a rapid movement of 73.7, 72.4, and 67.4% (P > 0.05), respectively. The bulls sperm trajectories had a variation, as they were recorded to be irregular and not linear (P < 0.05). The straight-line sperm velocity (µm s−1), wobbling %, and amplitude of lateral head displacement % was similar for the 4 breeds (P > 0.05). In conclusion, CASA technology was a useful technique for assessing differences in sperm motion and kinematic (motility and velocity characteristics) among different bull breeds.

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