CASA derived human sperm abnormalities: correlation with chromatin packing and DNA fragmentation

Sivanarayana, T.; Krishna, Ch. Ravi; Prakash, G. Jaya; Krishna, K. Murali; Madan, K.; Rani, Babitha; Gódi, Szilárd; Raju, G. A. Rama

doi:10.1007/s10815-012-9885-9

Cited by 34 publications

(31 citation statements)

References 54 publications

(69 reference statements)

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“…Similarly, Abdelrazik et al [50] analyzed sperm morphology using computer assisted morphometry, and demonstrated that spermatozoa with several abnormal forms (in particular amorphous and micro heads) containing immature chromatin and higher DNA fragmentation rate compared with other forms of head abnormalities resulting in an increase in aneuploidy incidence and mutations in the germ line [44,51]. In the present study, it was demonstrated that DNA fragmentation was significantly higher in teratozoospermic men compared with normozoospermic men, similar to the results shown by several authors [44,48,50,52,53].…”

Section: Discussionsupporting

confidence: 90%

Sperm DNA Fragmentation is Significantly Increased in Those Men with Morphologically Abnormal Spermatozoa

Ferreyra¹

2014

JFIV Reprod Med Genet

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Purpose: To evaluate the levels of DNA fragmentation regarding to spermatozoa morphology in male infertility patients attending Andrology Laboratory at fertility center.Methods: Semen samples of 196 patients were analyzed using computer-assisted semen analysis (CASA). Sperm DNA fragmentation was measured by the sperm chromatin dispersion test. According to the values of sperm morphology, the groups were conformed by teratozoospermic (105 patients) and normozoospermic (91 patients) men.Results: Subjects' ages ranged from 21 to 68 years. Teratozoospermic men were older that the normozoospermic men (39.72 ± 7.86 vs. 36.57 ± 6.29 years; P<0.05). Values of pH were similar in both evaluated groups (P:NS). Parameters of volume, concentration, motility and vitality in teratozoospermic men were significantly lower compared to those normozoospermic patients (P<0.05). High levels of DNA fragmentation were observed in those patients with abnormal sperm morphology compared to normozoospermic men (44.31 ± 7.52 vs. 34.92 ± 5.89; P<0.05). Conclusions:Men with abnormal spermatozoa morphology showed high levels of DNA fragmentation. These significantly high percentages of sperm DNA damage will be an additional factor that drastically reduces the possibility of success in these infertile men.

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Section: Discussionsupporting

confidence: 90%

Sperm DNA Fragmentation is Significantly Increased in Those Men with Morphologically Abnormal Spermatozoa

Ferreyra¹

2014

JFIV Reprod Med Genet

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“…Several studies have found that the sperm DNA fragmentation index (DFI) had a significant correlation with sperm concentration [517], morphology [51819], and motility [192021]. However, controversy remains regarding the correlations between the DFI and semen parameters because some authors did not observe significant correlations between the sperm DFI and morphology [22], concentration [1821], or motility [18].…”

Section: Introductionmentioning

confidence: 99%

Efficient isolation of sperm with high DNA integrity and stable chromatin packaging by a combination of density-gradient centrifugation and magnetic-activated cell sorting

Chi¹,

Kwak²,

Kim³

et al. 2016

Clin Exp Reprod Med

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ObjectiveThis study was carried out to investigate the correlations of the sperm DNA fragmentation index (DFI) with semen parameters and apoptosis, and to investigate the effects of density-gradient centrifugation (DGC) and magnetic-activated cell sorting (MACS) on reducing the proportion of sperm with DNA fragmentation and protamine deficiency.MethodsSemen analysis and a sperm DNA fragmentation assay were performed to assess the correlations between semen parameters and the DFI in 458 semen samples. Sperm with progressive motility or non-apoptosis were isolated by DGC or MACS, respectively, in 29 normozoospermic semen samples. The effects of DGC or MACS alone and of DGC and MACS combined on reducing the amount of sperm in the sample with DNA fragmentation and protamine deficiency were investigated.ResultsThe sperm DFI showed a significant correlation (r=–0.347, p<0.001) with sperm motility and morphology (r=–0.114, p<0.05) but not with other semen parameters. The DFI (11.5%±2.0%) of semen samples was significantly reduced by DGC (8.1%±4.1%) or MACS alone (7.4%±3.9%) (p<0.05). The DFI was significantly further reduced by a combination of DGC and MACS (4.1%±1.3%, p<0.05). Moreover, the combination of DGC and MACS (1.6%±1.1%, p<0.05) significantly reduced the protamine deficiency rate of semen samples compared to DGC (4.4%±3.2%) or MACS alone (3.4%±2.2%).ConclusionThe combination of DGC and MACS may be an effective method to isolate high-quality sperm with progressive motility, non-apoptosis, high DNA integrity, and low protamine deficiency in clinical use.

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“…Furthermore, while speculative, our findings suggest little added utility of including semen phenotypes for predicting which couples may experience delays in conceiving based upon semen characteristics. We note, on the other hand, that there is some evidence suggesting that morphologically abnormal spermatozoa may be associated with chromosomal abnormalities or alterations in chromatin packing and DNA fragmentation, which in turn may impact fertilization (Tang et al ., 2010; Sivanarayana et al ., 2012). …”

Section: Discussionmentioning

confidence: 99%

A data‐driven search for semen‐related phenotypes in conception delay

2016

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SummarySperm count, morphology, and motility have been reported to be predictive of pregnancy, although with equivocal basis prompting some authors to question the prognostic value of semen analysis. To assess the utility of including semen quality data in predicting conception delay or requiring >6 cycles to become pregnant (referred to as conception delay), we utilized novel data‐driven analytic techniques in a pre‐conception cohort of couples prospectively followed up for time‐to‐pregnancy. The study cohort comprised 402 (80%) male partners who provided semen samples and had time‐to‐pregnancy information. Female partners used home pregnancy tests and recorded results in daily journals. Odds ratios (OR), false discovery rates, and 95% confidence intervals (CIs) for conception delay (time‐to‐pregnancy > 6 cycles) were estimated for 40 semen quality phenotypes comprising 35 semen quality endpoints and 5 closely related fecundity determinants (body mass index, time of contraception, lipids, cotinine and seminal white blood cells). Both traditional and strict sperm phenotype measures were associated with lower odds of conception delay. Specifically, for an increase in percent morphologically normal spermatozoa using traditional methods, we observed a 40% decrease in conception delay (OR = 0.6, 95% CI = 0.50, 0.81; p = 0.0003). Similarly, for an increase in strict criteria, we observed a 30% decrease in odds for conception delay (OR = 0.7, 95% CI = 0.52, 0.83; p = 0.001). On the other hand, an increase in percent coiled tail spermatozoa was associated with a 40% increase in the odds for conception delay (OR = 1.4, 95% CI = 1.12, 1.75; p = 0.003). However, our findings suggest that semen phenotypes have little predictive value of conception delay (area under the curve of 73%). In a multivariate model containing significant semen factors and traditional risk factors (i.e. age, body mass index, cotinine and ever having fathered a pregnancy), there was a modest improvement in prediction of conception delay (16% increase in area under the curve, p < 0.0002).

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CASA derived human sperm abnormalities: correlation with chromatin packing and DNA fragmentation

Cited by 34 publications

References 54 publications

Sperm DNA Fragmentation is Significantly Increased in Those Men with Morphologically Abnormal Spermatozoa

Sperm DNA Fragmentation is Significantly Increased in Those Men with Morphologically Abnormal Spermatozoa

Efficient isolation of sperm with high DNA integrity and stable chromatin packaging by a combination of density-gradient centrifugation and magnetic-activated cell sorting

A data‐driven search for semen‐related phenotypes in conception delay

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