Using computational modeling to investigate sperm navigation and behavior in the female reproductive tract.

The processes by which individual sperm cells navigate the length and complexity of the female reproductive tract and then reach and fertilize the oocyte is fascinating. Numerous complex processes potentially influence the transport of spermatozoa within the tract, resulting in a regulated supply of spermatozoa to the oocytes at the site of fertilization. Despite significant differences between species, breeds, and individuals, these processes converge to ensure that a sufficient number of high quality spermatozoa reach the oocytes, resulting in successful fertilization without a significant risk of polyspermy. Different factors, such as the physical complexity of the oviductal environment, changing swimming patterns, capacitation, chemotactic and thermotactic attraction, attachment and detachment from the oviductal epithelium, interactions with local oviductal secretions, individual variations in spermatozoa and subpopulations, peristaltic contractions, and the movement of fluid have all been theorized to influence the transport of spermatozoa to the site of fertilization. However, the predominance of each factor is not fully understood. Computational modeling provides a useful method for combining knowledge about the individual processes in complex systems to help understand the relative significance of each factor. The process of constructing and validating an agent-based computational model of sperm movement and transport within the oviductal environment is described in this report. Spermatozoa are modeled as individual cells with a set of behavioral rules defining how they interact with their local environment and regulate their internal state. The inclusion or potential exclusion of each factor is discussed, along with problems identifying parameters and defining behavioral rules from available literature. Finally, the benefits and limitations of the model are described.