Swine spermatozoa trigger aggregated neutrophil extracellular traps leading to adverse effects on sperm function

F Zambrano1, C Namuncura1, P Uribe2

  • 1Center of Excellence in Translational Medicine - Scientific and Technological Bioresource Nucleus (CEMT - BIOREN), Faculty of Medicine, Universidad de La Frontera, Temuco, Chile; Department of Preclinical Sciences, Faculty of Medicine, Universidad de La Frontera, Temuco, Chile.

Insights

Boar spermatozoa trigger neutrophils to form sperm-mediated Neutrophil Extracellular Traps (NETs) in pigs. These aggNETs entrap sperm, reduce motility, and impair function, potentially lowering fertility in artificial insemination.

Area of Science:

  • Reproductive immunology
  • Sperm-host interaction
  • Innate immunity in swine reproduction

Background:

  • Polymorphonuclear neutrophils (PMN) increase in the uterus post-insemination, initiating innate immune responses.
  • Sperm-mediated Neutrophil Extracellular Traps (NETs) formation is a known phenomenon in various mammals.

Purpose of the Study:

  • Investigate boar spermatozoa and swine PMN interactions.
  • Characterize sperm-mediated NETs release and formation.
  • Assess the impact of NETs on sperm functionality and fertility.

Main Methods:

  • Scanning electron microscopy (SEM) and immunofluorescence for NET visualization.
  • Kinetic studies to analyze NETosis over time.
  • Assessment of sperm motility, membrane integrity, and function.

Main Results:

  • Sperm-triggered NETs (aggNETs) formation observed, with largest sizes and massive sperm entrapment at 5 hours.
  • NETs significantly increased from 3 hours, entrapping spermatozoa and reducing free sperm.
  • NET exposure led to decreased sperm motility, membrane integrity, and overall functionality.

Conclusions:

  • Sperm-mediated aggNETs formation negatively impacts swine spermatozoa.
  • This process may significantly reduce fertility potential in swine artificial insemination.
  • Further research on aggNETs is crucial for understanding porcine reproductive environments and improving AI techniques.

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