Abstract
Polyvalent mannose ligands in the presence of free mannose act as zona pellucida agonists which rapidly induce acrosome exocytosis in competent motile human sperm from fertile donors following in-vitro capacitation. Quantification of the binding patterns of fluorescein isothiocyanate-labelled mannosylated albumins and of specific antisera which recognize mannose receptors and other related integral sperm membrane proteins as well as the incidence of induced acrosome exocytosis after capacitation has allowed us to identify three categories of male infertility. Category 1 males have normozoospermic semen parameters, their spermatozoa have elevated sperm cholesterol values and fail to fertilize oocytes in vitro after standard short-term incubations. These spermatozoa do not bind mannose ligands and do not show spontaneous or induced acrosome reactions, but treatments to remove cholesterol from the spermatozoa (e.g. prolonged incubation in the presence of sterol acceptors) confer the ability to fertilize. Cholesterol loading and unloading experiments have demonstrated the reversible character of sperm membrane properties in category 1 male infertility. Category 2 males have normal-appearing spermatozoa in semen which express mannose ligand receptors on incubation, but fail to undergo acrosome reactions in response to mannose treatment. Interestingly, all category 2 males identified in this study have clinical varicocele. Category 3 males have semen which may be normozoospermic or teratozoospermic with, in some cases, high percentages of tapering spermatozoa in the absence of clinical varicocele. Spermatozoa from category 3 men are deficient in a superfamily of integral membrane proteins whose cytoplasmic tails have myosin motors as identified by amino acid sequence analysis and anti-myosin antibody reactivity. Their spermatozoa do not express mannose ligand receptors or undergo induced acrosome reactions. Fertilization with category 2 and 3 semen is only achieved by micromanipulation procedures. These findings illustrate the practical application of basic research for infertility classification.
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