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HomeWorld NewsMild covid-19 can also impair fertility in men: IIT-B study

Mild covid-19 can also impair fertility in men: IIT-B study

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According to a small study led by researchers at the Indian Institute of Technology (IIT) Bombay, even mild or moderate COVID-19 disease can alter the levels of proteins related to male reproductive function that can impair fertility.

According to a report, research published last week analyzed protein levels in the semen of healthy men with Kovid-19. According to the researchers, it also damages other tissues.

Recent evidence suggests that COVID-19 infection may impair male fertility, and the virus has been found in male reproductive organs, he said. The researchers compared protein levels in the semen of healthy men who had previously had mild There were moderate cases of COVID-19.

They analyzed semen samples from 10 healthy men and 17 men who had recently recovered from COVID-19. None of the men between the ages of 20 and 45 had a previous history of infertility. The team found that the recovered men had significantly reduced sperm count and motility and had fewer normal-sized sperm than those without Covid-19. When semen proteins were analyzed using spectrometry, they found 27 proteins at higher levels and 21 proteins at lower levels in the Covid-19-healthy men than in the control group.

The researchers said that many proteins are involved in reproductive function.
Two fertility-related proteins, semenogelin 1 and prosopocene, were reported to be present in less than half of their levels in the semen of the Covid-19-recovered group compared to the control semen. There are effects that increase after recovery, the researchers said. The work may also reveal insights into the physiological processes associated with human reproductive disease or injury in recovered males.

However, the researchers said larger studies should be conducted to confirm the findings and include a control group of men who have recently recovered from other flu-like illnesses so that the findings are accurate for COVID-19.

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