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Multicentric, prospective observational data show sperm capacitation predicts male fertility, and cohort comparison reveals a high prevalence of impaired capacitation in men questioning their fertility

Authors :
Randy Morris
Maria Doukakis
Annette Lee
Steven Hirshberg
Mark Leondires
Eric K. Seaman
John Nichols
Michael J. Butcher
Joshua Hurwitz
Gianpiero D. Palermo
Fady I. Sharara
James A. Kashanian
Joshua A Bodie
Jennifer Nichols
Matthew Wosnitzer
Gail Whitman-Elia
Spencer Richlin
Zev Rosenwaks
M. Sobel
Peter Ahlering
Natan Bar-Chama
Shaun Williams
Cynthia Murdock
G. Charles Ostermeier
Tara Budinetz
Jay S. Schinfeld
Larry I. Barmat
Mira Aubuchon
John Payne
Travis W. McCoy
Edward Tarnawa
Alexander J. Travis
S.G. Somkuti
Ilana Ressler
Lauren Weissmann
Source :
Reproductive BioMedicine Online. 41:69-79
Publication Year :
2020
Publisher :
Elsevier BV, 2020.

Abstract

Can a previously defined relationship between sperm capacitation and the probability of a man generating pregnancy within three cycles, prospectively predict male fertility in diverse clinical settings? A second study asked, what is the prevalence of impaired sperm fertilizing ability in men questioning their fertility (MQF), and does this relate to traditional semen analysis metrics?In the multicentric, prospective observational study, data (n = 128; six clinics) were analysed to test a published relationship between the percentage of fertilization-competent, capacitated spermatozoa (Cap-Score) and probability of generating pregnancy (PGP) within three cycles of intrauterine insemination. Logistic regression of total pregnancy outcomes (n = 252) assessed fit. In the cohort comparison, Cap-Scores of MQF (n = 2155; 22 clinics) were compared with those of 76 fertile men.New outcomes (n = 128) were rank-ordered by Cap-Score and divided into quintiles (25-26 per group); chi-squared testing revealed no difference between predicted and observed pregnancies (P = 0.809). Total outcomes (n = 252; 128 new + 124 previous) were pooled and the model recalculated, yielding an improved fit (P0.001). Applying the Akaike information criterion found that the optimal model used Cap-Score alone. Cap-Scores were performed on 2155 men (with semen analysis data available for 1948). To compare fertilizing ability, men were binned by PGP (≤19%, 20-29%, 30-39%, 40-49%, 50-59%, ≥60%). Distributions of PGP and the corresponding Cap-Scores were significantly lower in MQF versus fertile men (P0.001). Notably, 64% of MQF with normal volume, concentration and motility (757/1183) had PGP of 39% or less (Cap-Scores ≤31), versus 25% of fertile men.Sperm capacitation prospectively predicted male fertility. Impaired capacitation affects many MQF with normal semen analysis results, informing diagnosis versus idiopathic infertility.

Details

ISSN :
14726483
Volume :
41
Database :
OpenAIRE
Journal :
Reproductive BioMedicine Online
Accession number :
edsair.doi.dedup.....b3f85e96b276ffb965acdc87d865c919
Full Text :
https://doi.org/10.1016/j.rbmo.2020.03.011