Sperm DNA fragmentation: new tool in the management of the male from infertile couples.
Impact of lifestyle and environment
Aleksander Giwercman
Dept. of Clinical Sciences & Reproductive Medicine CentreLund University
MalmöSweden
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Conflict of interest declaration
• I declare no commercial relationships or other activities that may be perceived as a potential conflict of interest.
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Infertility is a result of dysfunction in two subjects
Therefore• It will not be possible to develop
a sperm test predicting fertility, aswe have no good way of assessingfemale fertility
• The best we can achieve is topredict in/subfertility
50% 50%
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Clinical questions to be answered by semen analysis
• Spontaneous pregnancy – no/very low chance• Intrauterine insemination - no/very low chance• Standard IVF - no/very low chance• Fertilisation, good embryo quality, pregnancy - no/very low
chance• Offspring health – risk• Can it be improved by changes in environment/lifestyle or
medical intervention?
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How does it work with standard semen parameters?
• Even very low concentration, motility, morphology does not exclude spontaneous pregnancy
• Poor criteria for selection of type of assisted reproduction
• No association with offspring health
• No clue about specific treatment
Bonde et al, Lancet 1998
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Increased sperm DNA damage in infertile men
• Several studies have shown that men from infertile couples have increased proportion of spermatozoa with DNA damage
• Is testing for sperm DNA- breaks a valuable clinical tool?
Zini et al, Urology 2001
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A two-step hypothesis for the origin of DNA damage in human spermatozoa
Aitken R , and De Iuliis G Mol. Hum. Reprod. 2010;16:3-13
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Most commonly used tests
Test What is
measuredAdvantages Disadvantages
SCSA • DNA strand breaks
• Protamination• ?
• Quick analysis• Many cells analysed• Standardised • Methodology (repeatable)• Clinical thresholds
• Need of expensive equipment
COMET • Single and double strand breaks
• Altered bases
• Allows analysis of few cells• Can detect DNA damage at
cell level• High repeatability• Clinical thresholds
• Lack of standardisation
TUNEL • Single and double strand breaks
• Microscopy or flow cytometry
• No clinical threshold• Poor standardisation
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Sperm Chromatin Structure Assay COMET(SCSA)
Sperm with native DNA
Evenson et al. 1980; 2002 Östling & Johansson, 1984
Singh et al. in 1988
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Low inter-laboratory (SCSA) and intra-laboratory (SCSA; COMET) variation
• Intra-laboratory CV:– COMET: 2-4%– SCSA: 2-5%
Giwercman et al, Fertil Steril, 2004
On average: 1% difference between Rome and Malmö
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SCSA and natural conception
No pregnancies for DFI>30%
OR 6.54 (1.71-24.91)
Evenson et al, Hum Reprod 1999
TTP inversely associated with DFI:
starts decreasing DFI>20%
negligible at >40%
OR 7.59 (2.54-22.67)
Spanò et al, Fertil Steril 2000
DFI
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Prediction of fertility• Simon et al, Fertil Steril 2011:
COMET: DNA fragmentation >25%, OR for infertility – 180 (21-1600)
Giwercman et al, Int J Androl 2010
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Conclusion 1
• Sperm DNA integrity is a good tool for prediction of ”low chance for spontaneous pregnancy”
• SCSA can, therefore, be used for selection of couples who should be referred for assisted reproduction (ART)
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SCSA and Intrauterine Insemination (IUI) (387 cycles)
• These results are well-matched with those for spontaneous pregnancy
• 20-30% of men fulfilling IUI criteria – DFI>30%
ORs for BP and D significantly lower in the group with DFI>30%
- 0.19 (95% CI: 0.07-0.48) for biochemical pregnancy- 0.15 (95% CI: 0.04-0.48) for delivery (adjusted for sperm conc, motility, female age and BMI)
Bungum et al, Hum Reprod, 2007
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ICSI vs. IVF (611 cycles)
DFI < 30% NSDFI > 30% Biochemical pregnancy OR (95% CI) 3.0 (1.4-6.2)
Delivery OR (95% CI) 2.0 (1.0-4.5)
Bungum et al, Hum Reprod, 2007
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Meta-analysis of sperm DNA fragmentation, IVF
Sperm DNA damage associated with lower IVF pregnancy rates Combined OR 1.57 (95% CI, 1.18 - 2.07)
Ref. Assay N OR (95% CI)
Høst et al., 2000 M-TUNEL 175 1.92 (0.92-4.04)
Henkel et al., 2003 F-TUNEL 208 2.24 (1.09-4.58)
Huang et al., 2005 F-TUNEL 217 1.30 (0.66-2.56)
Boe-Hansen et al., 2006
SCSA 139 2.43 (0.28-20.83)
Borini et al., 2006 F-TUNEL 82 1.66 (0.33-8.28)
Lin et al., 2007 SCSA 137 0.88 (0.35-2.19)
Benchaib et al., 2007
M-TUNEL 84 0.46 (0.11-2.00)
Bungum et al., 2007
SCSA 388 1.24 (0.69-2.26)
Frydman et al., 2007
FCM-TUNEL 117 2.97 (1.39-6.32)
Zini & Sigman, J Androl, 2008
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Meta-analysis of sperm DNA fragmentation, ICSI
Sperm DNA damage not associated with ICSI pregnancy rates Combined OR 1.14 (95% CI, 0.86 - 1.54)
Ref. Assay N OR (95% CI)
Høst et al., 2000 M-TUNEL 61 0.79 (0.28-2.25)
Henkel et al., 2003
F-TUNEL 54 3.67 (1.12-12.0)
Gandini et al., 2004
SCSA 22 0.36 (0.06-2.08)
Huang et al., 2005
F-TUNEL 86 1.80 (0.76-4.27)
Zini et al., 2005 SCSA 60 0.87 (0.23-3.22)
Check et al., 2005
SCSA 104 1.34 (0.52-3.43)
Boe-Hansen et al., 2006
SCSA 47 0.76 (0.21-2.72)
Borini et al., 2006 F-TUNEL 50 7.36 (1.67-32.4)
Lin et al., 2007 SCSA 86 1.21 (0.45-3.23)
Benchaib et al., 2007
M-TUNEL 218 1.55 (0.70-3.41)
Bungum et al., 2007
SCSA 223 0.65 (0.37-1.14)
Zini & Sigman, J Androl, 2008
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COMET and IVF/ICSI
• DNA Fragmentation vs. motility in predicting IVF fertilisation rate (>70%)
– Specificity 93% vs. 78%– OR 24 vs. 4.8
• No predictive value in relation to ICSI outcome
DNA fragmentation
(%)
Couples(%)
Life births(%)
0-24 16 26
25-50 43 19
>50 41 12Simon et al, RBM Online, 2013
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Conclusion 2
• Sperm DNA testing has good predictive value in relation to IUI-failure
• Sperm DNA testing may be valuable in relation to choice of IVF vs. ICSI
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Sperm DNA integrity and pregnancy loss after ART
11 studies, 1549 IVF/ICSI cycles, 640 pregnancies, 122 pregnancy losses Combined OR 2.48 (95% CI, 1.52 - 4.04)
Zini et al, Hum Reprod 2008
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Sperm DNA-fragmentation and fertilisation rate, embryo quality and miscarriage
Unpublished data (SCSA)
853 IVF and ICSI cycles
DFI had no predictive value in relation to:
• Fertilisation rate• Embryo quality• Miscarriage (early/late)
Generally – conflicting data
0
5
10
15
20
25
10 20 30 40 50 60 70
DFI (%)
OR
for m
isca
rria
ge
Bungum et al, Hum Reprod, 2007
998 cycles, 333 pregnancies, 77 pregn.loss
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Conclusion 3
• Some studies have indicated negative impact of high DNA-fragmentation in relation to fertilisation rate, embryo quality and miscarriage rate
• The available data are inconclusive
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Sperm DNA-damage and offspring health
• Animal data indicating morbidity in the offspring
• Paternal smoking – increased cancer (Lee et al, Leuk Res, 2009) and cryptorchidism (Kurahashi et al, Med Sci Monit, 2005)
• Sperm DNA-damage excluding fertilisation in vivo can be overcame by IVF/ICSI
• No impact of sperm DFI (SCSA) on birth weight or gestational age (Bungum et al, Int J Androl 2011)
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Unexplained infertility - no longer unexplained
In 15-20% of couples with ”unexplained infertility”
– DFI 20-30% (18% of couples)– DFI >30% (8.4% of couples)
(Oleszczuk et al, Andrology, 2013)
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Sperm DNA damage – a treatable condition?
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Antioxidants and birth rate
(Showell et al, Cochrane Database Syst Rev. 2011)
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Smoking and sperm DNA damage
Assay used No participants Effect Reference8-OHdG 60 ↑ Shen et al. Reprod Toxicol 1997
SCSA 25 = Rubes et al. Fertil Steril 1998
SCSA 277 = Spano et al. Human Reprod 1998
TUNEL 70 ↑ Potts et al. Mutat Res 1999
SCSA 70 ↑ Potts et al. Mutat Res 1999
TUNEL 97 = Sergerie et al. Human Reprod 2000
SCSA 65 = Saleh et al. Fertil Steril 2002
COMET (alkaline) 40 = Belcheva et al. Int J Androl 2004
COMET (neutral) 257 = Trisini et al. Fertil Steril 2004
TUNEL 108 ↑ Sepaniak et al. Toxicology 2006
OxyDNA Assay 55 = Viloria et al. Fertil Steril 2009
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PCB exposure and sperm DNA breaks
RignellHydbom et al. EHP 2005
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Some urgent issues to be addressed
• Results should be repeated by other research groups
• Standardisation of methodology – common clinical cut off values
• Which methods to be applied for what
• Antioxidant treatment – Yes or No (in principle no other efficient medical treatments of non-hypogonadotropic male subfertility)
• Preventive measures (smoking; weight loss; environment) –effect on sperm DNA
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Acknowledgements
• Mona Bungum• Marcello Spanó• Katarina Jepson• Leif Bungum• Krzysztof Oleszczuk• Jens Peter Bonde• Gunnar Toft• Irene Leijonhufvud
Numerous medical students• Lars Lindstedt• Mattias Larsson• Adam Gustafsson • Anders Langegård• Linn Augustinson• Najia Bayat