abnormal semen parameters: what doctors should know
TRANSCRIPT
Sandro Esteves, MD., PhD. Director, ANDROFERT
Andrology & Human Reproduction Clinic Campinas, BRAZIL
Abnormal Semen Parameters
What doctors should know
Reproductive Andrology Surgery Workshop 2014 Al Jahra Hospital, KUWAIT
ISO 9001:2008
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Abnormal semen parameters: what doctors should know
Lecture Outline Learning objectives Epidemiological trends and sperm development
Routine semen analysis: where we are today
Importance of sperm chromatin integrity and its clinical implications
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Epidemiological Trends • 10-15% of couples are infertile and 1 in 8 men seeks
medical assistance for male infertility. • Male factor infertility is responsible for up to 50% of cases
of infertility: 20% as the sole reason and 30% as contributory.
• Increased incidence of male infertility may be attributed to environmental factors and modern life habits such as obesity, ageing, exposure to gonadotoxins and certain endocrine disruptors.
• Noticeable epidemiological increase in the incidence of testicular cancer and urogenital anomalies
Irvin S, et al 1996, Auger J et al, 1995, Irvine DS 1994, Jørgensen N et al 2001, Jørgensen N et al 2002, Swan SH 2003, Feki NC et al, 2009
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Abnormal Semen Multiple causes, not exclusive
– Hormonal problems – Genetic causes – Varicocele – Genital infection – Chemotherapy, radiotherapy – Cryptorchidism – Idiopathic – Gonadotoxin exposure – Life-style factors – Endocrine disruptors – Etc.
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Routine Semen Analysis
Functional Status of
Reproductive Tract
Seminal Fluid and Sperm
Central Laboratory
Investigation
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• Standardization • Quality control • Quality assurance • Certification
Semen Analysis: Andrology Lab
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Standards
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New WHO Reference Values WHO 20101
1.5 15 39
32 (a+b) 58 4
<1.0
Semen Parameter WHO 1999 Volume (mL) ≥ 2.0 Count (x106/mL) ≥ 20 Total sperm number/ejaculate ≥ 40 Motility (%) ≥ 50 (a + b) Vitality (%) ≥ 75 Morphology (%)2 (14) Leukocytes (x106/mL) < 1.0
1Lower Limit (5% percentile), Recent fathers; 2Strict criteria Grade a = rapid progressive motility; Grade b = slow/sluggish progressive motility
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New WHO Reference Values Caution to Interpret Results
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New WHO standardsReasons for Lower Cut-off Values
• Method for semen analysis (QC standards) • Adoption of strict criterion for morphology • Single specimen of each individual
Different way of generating data
• Recent fathers with known TTP (≤ 12months) • Selection bias
Population studied
Esteves et al. Urology 2012
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Critical Appraisal of the WHO New Reference Values for Human Semen and Impact on Diagnosis and Treatment of Subfertile Men
Esteves, Zini, Aziz et al, Urology, in press
Columbia USA
Melbourne Australia
Turku Finland
Oslo Norway
Edinburgh UK
Paris France
Copenhagen Denmark
2010 WHO Reference: 1,953 men
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Volume (mL) 1.5 Sperm count (x106/mL) 15.0 Total count (x106) 39.0 % Motile (total) 40 % Motile (progressive) 32 % Normal (strict criteria) 4 %Alive 58
Cooper et al. Hum Reprod Update 2010
WHO 2010: Recent fathers TTP≤12 mo. Percentiles
5% 50%* 95% 3.7 6.8 73.0 213.0
255.0 802.0 61 78 55 72 15 44 79 91
New WHO StandardsReasons for Lower Cut-off Values
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New WHO Standards: Implications Do we need to recall previous semen analysis
reports?
Abnormal
results WHO 1999
Reclassified as “Normal” WHO 2010
(38.7%)
Couples (N=987) with infertility duration >12 months
Source: ANDROFERT, Brazil
Morphology by strict criterion accounted for 53% of reclassification
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Referral Deferment Semen Parameters Case
study
Volume (mL) 2.3
Count (106/mL) 16.5 Progressive motility (%) 40
Vitality (%) 65
Morphology (%) 9
Reference
1999 2010
≥ 2 ≥ 1.5
≥ 20 ≥ 15
≥ 50 ≥ 32
≥ 75 ≥ 58
(14) ≥ 4
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Laboratories adopting the new standards should determine the strategy to communicate clinical significance of the reported results
WHO Standards Interpretation
Esteves SC. Int Braz J Urol 2014
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Semen Analysis Results Not accurate to discriminate fertile from
infertile men
Male infertility workup goes far beyond a simple semen analysis. History, physical examination, laboratory and sperm function tests are minimum standards
Esteves, et al 2011; 2012; 2014
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Practical Points • Routine semen analysis still central in
laboratory evaluation of male infertility • WHO new reference limits are lowered
compared with previous references • Caution to interpret new references
– Comparison with 90% percentile distribution is advisable
– Results not accurate to discriminate infertile from fertile males unless if at extreme levels
– Complete male infertility evaluation should be undertaken
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Lecture Outline Learning objectives Epidemiological trends and sperm development
Routine semen analysis: where we are today
Importance of sperm chromatin integrity and its clinical implications
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Why semen analysis is not enough
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Defects in Sperm DNA Structure
single-strand break
mis-match
damaged base double-strand
break
inter-strand crosslink
intra-strand crosslink
Single-strand DNA break (ss-DB) Double-strand DNA break (ds-DB) Base deletion or modification Inter or intra-strand cross linkage
Esteves et al 2013; Alvarez and Gosálbez 2011; Ward 2011
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Biological mechanisms of SDF Protamination Failure Replacement of histone to protamines during spermiogenesis
Oxidative Stress Epididymis transit Post-ejaculation: leukocytes, immature sperm, abnormal levels seminal plasma antioxidants
Apoptosis During sperm maturation (testis & epididymis)
Fernández et al. 2009; Alvarez and Sakkas 2010; Agarwal et al. 2013
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DNA Damage
Environmental factors Phtalate exposure, radiation, temperature Diseases Varicocele, GTI, fever Life-style Obesity, smoking Aging
External factors leading to SDF
Kort et al. 2006; Rubes et al 2007; Viloria et al 2007; Esteves & Agarwal 2011
SDF and Male Infertility Etiologies
Gosálbez et al. 2013
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SDF and Infertility: Why bother?
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19%
1.5%
Normal Elevated
Live Birth Rates with Intrauterine Insemination
OR = 0.07 [95% CI: 0.01-0.48]
Bungum et al. Hum Reprod 2007
IUI Outcome and SDF
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26%
42%
IVF ICSI
Pregnancy by Method in Cases of Elevated Sperm
DNA Fragmentation
IVF Outcome and SDF
Robinson et al. Hum Reprod 2012
Meta-analysis of 16 studies and 2,969 couples
Increased miscarriage in couples undergoing IVF/ICSI with high sperm DNA damage
Risk ratio (RR) = 2.16 95% CI: 1.54-3.03; p<0.00001
Bungum et al. Hum Reprod 2007
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Frequency of elevated SDF in men with normal semen analysis
Normal semen analysis results (WHO)
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Androfert; N=987
Practical Implications • Successful pregnancies in IVF/ICSI cycles can be
obtained using semen samples with a high proportion of DNA damage
• Sperm DNA damage is promutagenic and can give rise to mutations after fertilization, as the oocyte attempts to repair DNA damage before the initiation of the first cleavage.
• Mutations occurring at this point will be fixed in the germline and may be responsible for the induction of infertility, childhood cancer in the offspring and for a higher risk of imprinting diseases
PANG M. G. et al Hum Reprod, 20: 1688–1694, 2005. Burrello et al Cytogenet Genome Res, 111:363–365, 2005.
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Fertility and Sterility 2014; 101(1):58-63
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Correlation between SCD and TUNEL
SCD more sensitive than TUNEL. Important to distinguish between the methods as they differently evaluate SDF.
20.6 11.5
% SDF SCD TUNEL Feijo & Esteves
Fertil Steril 2014; 101(1):58-63
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Management
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Take-home Messages (1)
• Male infertility is a important health issue • Despite being genetically-determined,
male fertility is modulated by external factors
• Life-style modifications should be considered in males seeking fatherhood
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Take-home Messages (2) • Normal semen analysis is not a
guarantee of fertility, and vice-versa • Male infertility evaluation should go far
beyond routine semen analysis • Minimal standards include history
taking, physical examination, semen analysis, sperm functional tests, and other tests as appropriate
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Take-home Messages (3) • Sperm chromatin integrity critical for a
viable pregnancy • Sperm DNA fragmentation common in men
with unexplained infertility • SDF testing provides information that is
different and of better prognostic value than semen analysis
• Grading SDF may help in designing a cost effective management
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Thank you Obrigado شكرا
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