sciencewr.com

New Promising Treatment Identified to Treat Male Infertility

First Posted: Aug 12, 2014 03:02 AM EDT
Close

Researchers at the Queen's University have come up with a novel technique to treat male infertility. Scientists have discovered a new synthetic version of sperm-originated protein called PAWP that helps initiate fertilization process.

This method is effective in treating male infertility by boosting fertilization process.

The Centers for Disease Control and Prevention's 2013 Annual Report on Assisted Reproductive Technologies reveals that nearly 37 percent of the treatment cycles lead to a successful pregnancy. This reduced success rate is due to several other factors in male and female including the inability of the sperm cell to trigger fertilization and initiate embryo development upon egg entry.

"PAWP is able to induce embryo development in human eggs in a fashion similar to the natural triggering of embryo development by the sperm cell during fertilization," explains Dr. Oko (Biomedical and Molecular Sciences). "Based on our findings, we envision that physicians will be able to improve their diagnosis and treatment of infertility, a problem that affects 10 to 15 per cent of couples worldwide."

The finding highlights that sperm PAWP is an effective predictor of infertility treatment. Most of the human infertility treatment is currently treated by injecting a single sperm directly into an egg, supplementation of human sperm with PAWP protein may be used to boost the success rate of infertility treatment in the future.

"The results of our study set the stage for further investigation of PAWP protein as a molecular marker for diagnosis and as a factor for improvement of infertility treatments," says Dr. Oko.

The finding is documented in The FASEB Journal.

See Now: NASA's Juno Spacecraft's Rendezvous With Jupiter's Mammoth Cyclone

©2017 ScienceWorldReport.com All rights reserved. Do not reproduce without permission. The window to the world of science news.

Join the Conversation

Real Time Analytics