Literature DB >> 16684843

Intra-individual variation in sperm chromatin structure assay parameters in men from infertile couples: clinical implications.

J Erenpreiss1, M Bungum, M Spano, S Elzanaty, J Orbidans, A Giwercman.   

Abstract

BACKGROUND: Sperm DNA integrity is an important factor in the prognosis of male fertility. In this study, we investigated intra-individual variation of sperm chromatin structure assay (SCSA) parameters in infertility patients undergoing assisted reproductive techniques (ARTs).
METHODS: Retrospective study of 282 consecutive patients referred for ART [intrauterine insemination (IUI), IVF or ICSI] with repeated (between 2 and 5) SCSA measurements.
RESULTS: Mean coefficient of variation (CV) of DNA Fragmentation Index (DFI) for repeated SCSA measurements was 29%. A high proportion [37%; 95% confidence interval (CI): 27%, 49%] of patients with DFI >30% in the first test had DFI <30% in the second test. Also, a considerable proportion (27%; 95% CI : 16%, 40%) of patients with 21-30% DFI values in the first test had DFI >30% in the second test.
CONCLUSIONS: Intra-individual variability in DFI is significant, therefore repeated SCSA measurements are recommended. The biological mechanisms behind these variations remain to be elucidated.

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Year:  2006        PMID: 16684843     DOI: 10.1093/humrep/del134

Source DB:  PubMed          Journal:  Hum Reprod        ISSN: 0268-1161            Impact factor:   6.918


  12 in total

Review 1.  Mechanisms and clinical correlates of sperm DNA damage.

Authors:  Lara Tamburrino; Sara Marchiani; Margarita Montoya; Francesco Elia Marino; Ilaria Natali; Marta Cambi; Gianni Forti; Elisabetta Baldi; Monica Muratori
Journal:  Asian J Androl       Date:  2011-12-05       Impact factor: 3.285

Review 2.  Sperm chromatin structure assay (SCSA): a tool in diagnosis and treatment of infertility.

Authors:  Mona Bungum; Leif Bungum; Aleksander Giwercman
Journal:  Asian J Androl       Date:  2010-11-08       Impact factor: 3.285

3.  One abstinence day decreases sperm DNA fragmentation in 90 % of selected patients.

Authors:  Isabel Pons; Rosa Cercas; Celia Villas; Cristina Braña; Sylvia Fernández-Shaw
Journal:  J Assist Reprod Genet       Date:  2013-09-01       Impact factor: 3.412

4.  Single semen analysis as a predictor of semen quality: clinical and epidemiological implications.

Authors:  Lars Rylander; Boel Wetterstrand; Trine B Haugen; Gunilla Malm; Johan Malm; Cathrine Bjørsvik; Trine Henrichsen; Thomas Saether; Aleksander Giwercman
Journal:  Asian J Androl       Date:  2009-10-12       Impact factor: 3.285

Review 5.  Sperm DNA damage in male infertility: etiologies, assays, and outcomes.

Authors:  Ryan T Schulte; Dana A Ohl; Mark Sigman; Gary D Smith
Journal:  J Assist Reprod Genet       Date:  2009-12-12       Impact factor: 3.412

6.  Sperm DNA fragmentation on the day of fertilization is not associated with embryologic or clinical outcomes after IVF/ICSI.

Authors:  Katherine A Green; George Patounakis; Michael P Dougherty; Marie D Werner; Richard T Scott; Jason M Franasiak
Journal:  J Assist Reprod Genet       Date:  2019-11-21       Impact factor: 3.412

Review 7.  Clinical utility of sperm DNA fragmentation testing: practice recommendations based on clinical scenarios.

Authors:  Ashok Agarwal; Ahmad Majzoub; Sandro C Esteves; Edmund Ko; Ranjith Ramasamy; Armand Zini
Journal:  Transl Androl Urol       Date:  2016-12

Review 8.  Measuring Sperm DNA Fragmentation and Clinical Outcomes of Medically Assisted Reproduction: A Systematic Review and Meta-Analysis.

Authors:  Maartje Cissen; Madelon van Wely; Irma Scholten; Steven Mansell; Jan Peter de Bruin; Ben Willem Mol; Didi Braat; Sjoerd Repping; Geert Hamer
Journal:  PLoS One       Date:  2016-11-10       Impact factor: 3.240

Review 9.  The Society for Translational Medicine: clinical practice guidelines for sperm DNA fragmentation testing in male infertility.

Authors:  Ashok Agarwal; Chak-Lam Cho; Ahmad Majzoub; Sandro C Esteves
Journal:  Transl Androl Urol       Date:  2017-09

10.  Semen molecular and cellular features: these parameters can reliably predict subsequent ART outcome in a goat model.

Authors:  Fiammetta Berlinguer; Manuela Madeddu; Valeria Pasciu; Sara Succu; Antonio Spezzigu; Valentina Satta; Paolo Mereu; Giovanni G Leoni; Salvatore Naitana
Journal:  Reprod Biol Endocrinol       Date:  2009-11-09       Impact factor: 5.211

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