Literature DB >> 29082168

Evaluation of sperm chromatin structure and DNA strand breaks is an important part of clinical male fertility assessment.

Donald P Evenson1,2,3.   

Abstract

Entities:  

Year:  2017        PMID: 29082168      PMCID: PMC5643675          DOI: 10.21037/tau.2017.07.20

Source DB:  PubMed          Journal:  Transl Androl Urol        ISSN: 2223-4683


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Introduction

As reviewed by Agarwal et al. (1) and recently stated by Vu Bach and Schlegel (2), “numerous studies have attempted to assess the association between elevated sperm DNA fragmentation (SDF) and ART outcomes. Unfortunately, variations between SDF assays, protocols, and thresholds and differences in study populations have resulted in systematic reviews and meta-analyses fraught with heterogeneity and unable to come to robust conclusions”. However, these early meta-analyses were considered a near impossible task leading to vague and questionable conclusions. Recent studies have refined protocols for the Sperm Chromatin Structure Assay (SCSA) (3,4) TUNEL (5), SCD (6) and COMET (7) tests. A major consideration for standardizing a protocol is to identify the SDF thresholds. While this has often been described as a single% SDF, e.g., 30% listed as the SCSA threshold in Agarwal et al. (1), more recent SCSA studies have listed two or three thresholds depending on the method of fertilization (see below).

SDF tests

The authors (1) provided eight protocols to measure sperm DNA/chromatin integrity. The first shown was the light microscope “AO test” that uses acridine orange (AO) to determine the percent (%) of sperm in a semen sample that fluoresce red (broken DNA) or green (intact DNA) (8). This test is considered unreliable for the sensitive human clinic (9). In 1980, the first SDF test, the SCSA® was introduced (10). A very significant advantage of the SCSA test is that the marker for DNA strand breaks is the very small, flat planer AO molecule (MW 265). Thus, AO likely penetrates the entire highly compact nuclear chromatin structure (9,11). In contrast, the TUNEL assay requires the large terminal deoxynucleotidyl transferase (TdTA) enzyme to label at sites of DNA strand breaks, except those breaks without a 3’ OH end (12). It is likely the protamine toroid is not penetrable by this enzyme, thus reducing the efficiency of flow cytometric TUNEL testing by 1/3 (9,11).

What does the SCSA test measure?

Agarwal et al. (1) have stated that the SCSA test “measures the susceptibility of DNA to denaturation, which occurs more commonly in fragmented DNA”. Also, a recent review (2) stated that the “SCSA starts with an acid denaturation step and depends on the principle that abnormal DNA is more prone to further fragmentation by acid denaturation than intact DNA”. Does that imply that the acid causes fragmentation leading to DNA strand breaks? All data to date strongly suggest that the function of the heat or pH 1.20 treatment for 30 secs is to denature (open) the two DNA strands at the sites of existing single or double DNA strand breaks, i.e., “normal DNA” with single or double strand breaks in the phosphodiester backbone of DNA (13). Since neither heat (100 °C, 5 min) nor acid (pH 1.20/30 sec) (13) break the DNA phosphodiester backbone, both the TUNEL and the SCSA tests are likely measuring existing DNA breaks available to each specific molecular probe (9).

Flow cytometry (FCM) SDF tests: SCSA and TUNEL

Of critical importance for validation of any test is its precision and accuracy. Without a doubt, FCM is invaluable to achieve this requirement for the SCSA and TUNEL tests. Measurement by using FCM is highly rapid with exceptional mechanical precision that avoids human eye biases. Both the SCSA and the TUNEL test measure five to ten thousand single cells, one at a time, at rates of about 250 cells/sec (14). SCSA has a significant advantage of being a dual parameter measurement. Thus, each spermatozoon is characterized by 1,024×1,024 units (channels) of green vs. red fluorescence. Data are presented as a dot plot (one dot for each of 5,000 sperm) with both X and Y axes of 1,024 channels or 1,024 degrees of DNA damage (14) as seen in .
Figure 1

SCSA data for clinical report. (A) Raw data from a flow cytometer showing each of 5,000 sperm as a single dot on a scattergram. Y = native DNA stainability, X = fragmented DNA; high DNA stainability (HDS) sperm with uncondensed chromatin; (B) SCSAsoft® software conversion to: Y = total DNA stainability, X = DNA fragmentation index; (C) frequency histogram of data in middle panel. Three levels of DNA fragmentation: non-detectable, moderate level and high level. SCSA, Sperm Chromatin Structure Assay.

SCSA data for clinical report. (A) Raw data from a flow cytometer showing each of 5,000 sperm as a single dot on a scattergram. Y = native DNA stainability, X = fragmented DNA; high DNA stainability (HDS) sperm with uncondensed chromatin; (B) SCSAsoft® software conversion to: Y = total DNA stainability, X = DNA fragmentation index; (C) frequency histogram of data in middle panel. Three levels of DNA fragmentation: non-detectable, moderate level and high level. SCSA, Sperm Chromatin Structure Assay. The SCSA test measures two sperm nuclear parameters simultaneously: (I) sperm DNA strand breaks (%DFI); and (II) uncondensed chromatin [% high DNA stainability (HDS)] (15). AO stains histone complexed DNA 2.3× more than protamine complexed DNA (16) and is clearly resolved as seen in . From SCSA scatterplots, in live time, populations of normal, increased red fluorescence and increased green fluorescence can be FCM-sorted out into test tubes for further morphological or biochemical analyses (17). Normal and moderate level DFI populations have normal morphology while the high DFI populations have abnormal morphology (17) consistent with apoptotic sperm. Both DFI populations have pH 10 Comet positivity (double strand breaks) confirming that SCSA DFI populations have Comet-confirmed sperm DNA strand breaks (17). The sperm nuclei of the HDS population are more rounded consistent with morphological immature sperm and no Comets (17,18). For the SCSA test, raw or extended aliquots of semen (fresh or frozen) are sent to a diagnostic center on dry ice or in LN2 dry shippers. Immediately after thawing, the sample is treated with a low pH buffer (pH 1.20, 30 sec), stained with AO and immediately measured (14). SCSA data clearly show that these frozen and rapidly thawed samples have the exact same SCSA values as fresh samples (19,20).

Measures of uncondensed chromatin (%HDS)

HDS sperm have uncondensed chromatin easily detectable by SCSA since more ds DNA is exposed to AO staining. The final structure of sperm chromatin is dependent upon post-translational methylation and acetylation that affects chromatin stability and the acquisition of epigenetic/imprinting marks impacting on embryonic development. This faulty compaction makes an abnormal tertiary chromatin structure that is crucial for correct timing during the process of fertilization and early pre-implantation development (21,22). The threshold for HDS related embryo failure is 20% to >25% HDS; 22% of 1,417 infertility patients were at these levels (23).

Repeatability of multi-lab flow cytometric measures of human clinical samples

Now that flow cytometers are available in numerous laboratories and medical institutions around the world, it is very important to know whether multiple types of flow cytometers are applicable to measure SDF in the SCSA and TUNEL tests. In 1995, Evenson and ten collaborators in seven centers on two continents made comparative SCSA %DFI measurements of aliquots of the same frozen samples from human, mouse, rat, turkey, bull, ram, boar and stallion (24). Both epiillumination and orthogonal optic flow cytometers were compared. Of great importance, the overall %DFI values for the total 132 samples had correlations of 0.9886 (P<0.001). This number solidly demonstrates that the crucial SCSA measurements around the world on very different flow cytometers produced with SCSA software (or equivalent red/red + green fluorescence) produced the near exact results. Similarly, Ribeiro et al. (25) have recently shown that TUNEL measurements on two continents gave the same data. Comparative measurements of aliquots of human patient semen samples by SCSA Diagnostics, Inc. (SDI) personnel and SDI trained FCM operators at the University of Copenhagen (10 samples; R2=0.9812) and the Andrology Lab, Coimbatore, India (57 samples; R2=0.962) (9) showed that the near exact SCSA data can be obtained between labs.

SCSA data and pregnancy outcomes are predictive of male infertility via intercourse, IUI, IVF and ICSI

The major use of many thousands of SCSA tests has been to determine the %DFI, i.e., the percent of sperm in a population that has measurable single or double strand DNA breaks of the phosphodiester DNA backbone. This has also been called “sperm with fragmented DNA (Latin fragmentum: a broken piece), thus, DNA with pieces of broken single or double DNA strands.

Pioneer in vivo male factor studies

The first well executed clinical in vivo study correlating sperm DNA integrity with pregnancy outcome was done in collaboration with Mike Zinaman at Georgetown University (26). The SCSA test was used to measure human semen samples from 165 presumably fertile couples wishing to achieve pregnancy over twelve menstrual cycles. Any woman with female infertility factors was excluded. SCSA data from the male partners of 73 couples (group 1) achieving pregnancy during months 1–3 were compatible with “high fertility”. These SCSA values were significantly different from those of 40 couples (group 3) achieving pregnancy in months 4–12 (P<0.01) and of those male partners of 31 couples (group 4) not achieving pregnancy (P<0.001). Group 2 included couples who had a miscarriage. “Based on logistic regression, the level of %DFI was the best predictor for whether a couple would not achieve pregnancy”. Some 84% of males in group 1 had <15% DFI; no couples achieved pregnancy in group 1 with >30% DFI. Shortly after the above publication, Spanò et al. (27) published a “time to natural pregnancy” on 215 “Danish first pregnancy planners” with no previous knowledge of their fertility status. SCSA data was obtained on 1,301 cycles (838 cycles, months 1–6; 463 cycles, months 7–24). At 20% DFI, fecundability started dropping and became very small for values of 30–40% as seen in .
Figure 2

Odds of in vivo/IUI pregnancy vs. %DFI. The curve of decreasing odds with increasing %DFI is drawn from data on semen samples used for in vivo (n=732) (10,27,28) and IUI (n=387) (29) clinical studies. Vertical lines between 20–40%DFI indicate suggested clinical intervention thresholds from data (n≥1,500 semen samples) in ART clinical studies [e.g. (23,29,30)].

Odds of in vivo/IUI pregnancy vs. %DFI. The curve of decreasing odds with increasing %DFI is drawn from data on semen samples used for in vivo (n=732) (10,27,28) and IUI (n=387) (29) clinical studies. Vertical lines between 20–40%DFI indicate suggested clinical intervention thresholds from data (n≥1,500 semen samples) in ART clinical studies [e.g. (23,29,30)]. Thus, the probability of fathering a child sharply declined beginning at 20% DFI and was negligible when this fraction added up to 40%. As stated by the authors, “this level makes this individual a good candidate not to conceive”. The results of both above studies are consistent with the finding that sperm chromatin structure is reflective of fertility potential, which significantly deteriorates when %DFI is >30%. The Evenson study (26) and the Spano study (27) had ORs of 6–7 (28) for higher probability of pregnancy when DFI <30% compared with DFl >30%.

SCSA and the ART clinic

IUI

Bungum et al. (29) studied a total of 998 cycles (387 IUI, 388 IVF and 223 ICSI). Of great interest was the observation that when the SCSA %DFI value was greater than 30%, the IUI pregnancy rate was a dramatically low 1.5% in contrast to those with DFI <30% who had a successful pregnancy rate of 19.0% (29). These data strongly suggested that men with a DFI of >30% had a very low chance with both natural and IUI conception and should move to ICSI. Considering the above data, the threshold for IUI and natural fertility has been set at 25% DFI since this level is at the statistical limit for significant loss of rapid and successful pregnancy.

IVF and ICSI

A recent SCSA study by Oleszczuk et al. (30) included 1,633 IVF or ICSI cycles. DFI values were categorized into four intervals: DFI ≤10% (reference group), 10%≤ DFI ≤20%, 20%< DFI ≤30%, DFI >30%. For the three latter intervals, the following outcomes of IVF/ICSI procedures were analyzed in relation to the reference group: fertilization, good quality embryo, pregnancy, miscarriage, and live births. In the standard IVF group, a significant negative association between DFI and fertilization rate was found. When calculated per ovum pick up (OPU), odds ratios (ORs) for at least one good quality embryo (GQE) were significantly lower in the standard IVF group if DFI >20%. OR for live birth calculated per OPU was significantly lower in standard IVF group if DFI >20% (OR, 0.61; 95% CI: 0.38–0.97; P=0.04). No such associations were seen in the ICSI group. OR for live birth by ICSI compared to IVF were statistically significantly higher for DFI >20% (OR, 1.7; 95% CI: 1.0–2.9; P=0.05). OR for miscarriage was significantly increased for DFI >40% (OR, 3.8; 95% CI: 1.2–12; P=0.02). The results suggest that ICSI might be a preferred method of in vitro treatment in cases with high DFI. Extensive SCSA data on infertility patients have shown that when a patient has <20% DFI, such semen sample with regards to sperm DNA integrity is consistent with normal pregnancy by intercourse or IUI unless other classical semen analysis shows one or two abnormal scores which decrease the odds for pregnancy (29,30). Decreasing odds are present with >20% DFI and at 25% DFI the odds become poor for pregnancy by intercourse or IUI. At 30% DFI, reasonable success requires ICSI. And at 40% DFI the odds become very poor for pregnancy and increased odds for miscarriage. Values above 50% may rarely achieve pregnancy, but the odds are indeed poor (30). graphically summarizes the three thresholds for SCSA: (I) <20%; (II) >25%; (III) 30–40%. The 20–25% DFI has been considered the “grey zone” by Spano et al. (27), Erenpreiss et al. (31), Oleszczuk et al. (30) and Hamadi et al. (21) and fertility problems may start to occur when SCSA DFI reaches this level. It is noted, however, that our SDI clinical service has seen natural full-term pregnancy with up to 68% DFI. The observation illustrated that these clinical thresholds are statistical values and not absolute values. The striking observation in is that as little of 5% (20–25%) DFI units, and certainly 10% (20–30%) DFI units, have different odds for success. This demands that SDF tests deliver the highest levels of precision, accuracy, and repeatability. Despite the greater cost of flow cytometric (SCSA, TUNEL) tests, this high precision is obtained by FCM in contrast to potential human eye error with light microscopy. Each clinic must decide the cost/benefit ratio from selection of SDF tests.

Conclusions

Agarwal et al. (1) reviewed the evolution of SDF tests from their origin to current utility in the urology and infertility clinics. The recognition of SDF testing as a valuable tool for male fertility evaluation has been acknowledged. For the past decade, the American Society of Reproductive Medicine (ASRM) consensus on SDF has indicated an increased potential for clinical use but note that meta- analyses have been fraught with the complexities of four major tests done with different protocols in multiple labs and different clinical thresholds, thus causing a near impossible consensus on their overall utility. Agarwal et al. (1) have brought an updated and a clearer picture on the utility of SDF tests and noted that the latest American Urological Association (AUA) and the European Association of Urology (EAU) guidelines have acknowledged the importance of DNA fragmentation in sperm as assessment of male infertility. This review (l) provides clinical scenarios where SDF testing is important. The positive utility of SDF testing on clinical varicocele patients was a primary focus on this study. Of greater impact, the current utility of SDF testing in the infertility clinic was highlighted focusing on their role in the ART clinic with specific emphasis on strongly recommending SDF testing in patients with recurrent ART failure. Agarwal et al. (1) concluded their review with the statement: “SDF testing should be included in the evaluation of male factor fertility along with the standard semen analysis”. This concurs with the summary of Simon et al. (32) “There is sufficient evidence in the existing literature suggesting that sperm DNA damage has a negative effect on clinical pregnancy following IVF and/or ICSI treatment”. Any couple that fails to obtain a pregnancy within a year would gain a valuable insight into the potential that couple infertility may be due to SDF and, if so, to proceed with recommendations presented here (1) to reduce SDF by lifestyle changes or select an ART procedure in part determined by the results of the SDF test.
  25 in total

Review 1.  Sperm chromatin structure assay: its clinical use for detecting sperm DNA fragmentation in male infertility and comparisons with other techniques.

Authors:  Donald P Evenson; Kjersten L Larson; Lorna K Jost
Journal:  J Androl       Date:  2002 Jan-Feb

2.  Utility of the sperm chromatin structure assay as a diagnostic and prognostic tool in the human fertility clinic.

Authors:  D P Evenson; L K Jost; D Marshall; M J Zinaman; E Clegg; K Purvis; P de Angelis; O P Claussen
Journal:  Hum Reprod       Date:  1999-04       Impact factor: 6.918

3.  Sperm chromatin structure assay in prediction of in vitro fertilization outcome.

Authors:  K Oleszczuk; A Giwercman; M Bungum
Journal:  Andrology       Date:  2016-01-12       Impact factor: 3.842

4.  Flow cytometric evaluation of boar semen by the sperm chromatin structure assay as related to cryopreservation and fertility.

Authors:  D P Evenson; L Thompson; L Jost
Journal:  Theriogenology       Date:  1994-02-02       Impact factor: 2.740

5.  Inter- and intra-laboratory standardization of TUNEL assay for assessment of sperm DNA fragmentation.

Authors:  S Ribeiro; R Sharma; S Gupta; Z Cakar; C De Geyter; A Agarwal
Journal:  Andrology       Date:  2017-02-28       Impact factor: 3.842

6.  Luminal fluid of epididymis and vas deferens contributes to sperm chromatin fragmentation.

Authors:  Joanna E Gawecka; Segal Boaz; Kay Kasperson; Hieu Nguyen; Donald P Evenson; W Steven Ward
Journal:  Hum Reprod       Date:  2015-10-13       Impact factor: 6.918

7.  Sperm DNA damage measured by comet assay.

Authors:  Luke Simon; Douglas T Carrell
Journal:  Methods Mol Biol       Date:  2013

8.  Characteristics of human sperm chromatin structure following an episode of influenza and high fever: a case study.

Authors:  D P Evenson; L K Jost; M Corzett; R Balhorn
Journal:  J Androl       Date:  2000 Sep-Oct

9.  Relation of mammalian sperm chromatin heterogeneity to fertility.

Authors:  D P Evenson; Z Darzynkiewicz; M R Melamed
Journal:  Science       Date:  1980-12-05       Impact factor: 47.728

10.  A double-blinded comparison of in situ TUNEL and aniline blue versus flow cytometry acridine orange for the determination of sperm DNA fragmentation and nucleus decondensation state index.

Authors:  Jamal Hamidi; Christophe Frainais; Edouard Amar; Eric Bailly; Patrice Clément; Yves Ménézo
Journal:  Zygote       Date:  2014-07-03       Impact factor: 1.442

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1.  The effect of human sperm chromatin maturity on ICSI outcomes.

Authors:  Kamil Gill; Aleksandra Rosiak; Dariusz Gaczarzewicz; Joanna Jakubik; Rafal Kurzawa; Anna Kazienko; Anna Rymaszewska; Maria Laszczynska; Elzbieta Grochans; Malgorzata Piasecka
Journal:  Hum Cell       Date:  2018-03-29       Impact factor: 4.174

Review 2.  Sperm DNA fragmentation testing: Summary evidence and clinical practice recommendations.

Authors:  Sandro C Esteves; Armand Zini; Robert Matthew Coward; Donald P Evenson; Jaime Gosálvez; Sheena E M Lewis; Rakesh Sharma; Peter Humaidan
Journal:  Andrologia       Date:  2020-10-27       Impact factor: 2.775

3.  Microbiological Evaluation and Sperm DNA Fragmentation in Semen Samples of Patients Undergoing Fertility Investigation.

Authors:  Chiara Pagliuca; Federica Cariati; Francesca Bagnulo; Elena Scaglione; Consolata Carotenuto; Fabrizio Farina; Valeria D'Argenio; Francesca Carraturo; Paola D'Aprile; Mariateresa Vitiello; Ida Strina; Carlo Alviggi; Roberta Colicchio; Rossella Tomaiuolo; Paola Salvatore
Journal:  Genes (Basel)       Date:  2021-04-27       Impact factor: 4.096

4.  Utility and Predictive Value of Human Standard Semen Parameters and Sperm DNA Dispersion for Fertility Potential.

Authors:  Kamil Gill; Joanna Jakubik; Aleksandra Rosiak-Gill; Michał Kups; Mariusz Lukaszuk; Maciej Kurpisz; Monika Fraczek; Małgorzata Piasecka
Journal:  Int J Environ Res Public Health       Date:  2019-06-05       Impact factor: 3.390

5.  Relationship between sperm morphology and sperm DNA dispersion.

Authors:  Joanna Jakubik-Uljasz; Kamil Gill; Aleksandra Rosiak-Gill; Malgorzata Piasecka
Journal:  Transl Androl Urol       Date:  2020-04

6.  Sperm DNA integrity in adult survivors of paediatric leukemia and lymphoma: A pilot study on the impact of age and type of treatment.

Authors:  Hermance Beaud; Océane Albert; Bernard Robaire; Marie Claude Rousseau; Peter T K Chan; Geraldine Delbes
Journal:  PLoS One       Date:  2019-12-19       Impact factor: 3.240

7.  Does Choosing Microfluidics for Sperm Sorting Offer an Advantage to Improve Clinical Pregnancies in Donor Egg Recipients?

Authors:  Sapna Srinivas; Suhasini Donthi; Anupama Deenadayal Mettler; Aarti Deenadayal Tolani; Mamata Deenadayal
Journal:  J Hum Reprod Sci       Date:  2022-06-30

8.  The Negative Impact of Varicocele on Basic Semen Parameters, Sperm Nuclear DNA Dispersion and Oxidation-Reduction Potential in Semen.

Authors:  Kamil Gill; Michal Kups; Patryk Harasny; Tomasz Machalowski; Marta Grabowska; Mariusz Lukaszuk; Marcin Matuszewski; Ewa Duchnik; Monika Fraczek; Maciej Kurpisz; Malgorzata Piasecka
Journal:  Int J Environ Res Public Health       Date:  2021-06-02       Impact factor: 3.390

Review 9.  Extended indications for sperm retrieval: summary of current literature.

Authors:  Sandro C Esteves; Matheus Roque
Journal:  F1000Res       Date:  2019-12-04

10.  Can the SCD test and terminal uridine nick-end labeling by flow cytometry technique (TUNEL/FCM) be used interchangeably to measure sperm DNA damage in routine laboratory practice?

Authors:  Cécile Grèze; Aline Guttmann; Hanae Pons-Rejraji; Marie-Paule Vasson; Jacqueline Lornage; Lemlih Ouchchane; Florence Brugnon
Journal:  Basic Clin Androl       Date:  2019-12-26
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