RESUMO
The emergence and the widespread of Coronavirus disease 2019 (COVID-19) demands an accurate detection method to establish a diagnosis. Real-time polymerase chain reaction (real-time PCR) is accounted for the perfect point of reference in detecting this virus. The notion that this virus also invades the male reproductive tract requires further investigation to prove the presence of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) in the semen. This investigation was designed to detect SARS-CoV-2 in COVID-19 survivors semen. This study design was a cross-sectional examination and conducted between November 2020 and March 2021 in the Andrology Unit of Dr. Soetomo General Hospital and Professor Nidom Foundation, both located in the City of Surabaya, Indonesia. The sample was 34 male participants aged above 18 years old and had been confirmed COVID-19 by nasopharyngeal swab PCR test. Part of the semen was taken for real-time PCR testing with the QuantStudio 5 Applied Biosystem (AB) PCR machine and the kits utilized were the STANDARD M nCOV Real-Time Detection Kit and mBioCov-19 RT-PCR Kit. Furthermore, the mean of participants ages was 35.74 years old with 25% of them had had a history of primary infertility and 21.8% of secondary infertility. From the real-time PCR COVID-19 of the semen examination, this investigation found that 27 participants had been negatives (74.4%), six inconclusive (17.6%), and one positive (3%) of SARS CoV-2. In summary, SARS-CoV-2 could be found in the semen of COVID-19 survivors. This should be a concern for the potential impact of COVID-19 in male fertility and the possibility of transmission reproductively.
RESUMO
IntroductionIndonesia kick-started the big project of COVID-19 vaccination program in January 2021 by employed vaccine to the president of Indonesia. The outbreak and rapid transmission of COVID-19 have endangered the global health and economy. This study aimed to investigate the full-length genome mutation analysis of 166 Indonesian SARS-CoV-2 isolates as 12 January 2021. MethodsAll data of isolates was extracted from the Global Initiative on Sharing All Influenza Data (GISAID) EpiCoV database. CoVsurver was employed to investigate the full-length genome mutation analysis of all isolates. Furthermore, this study also focused on the unlocking of mutation in Indonesian SARS-CoV-2 isolates S protein. WIV04 isolate that was originated from Wuhan, China was used as a virus reference according to CoVsurver default. All data was visualized using GraphPad Prism software, PyMOL, and BioRender. ResultsThis study result showed that a full-length genome mutation analysis of 166 Indonesian SARS-CoV-2 isolates was successfully discovered. Every single mutation in S protein was described and then visualised by employing BioRender. Furthermore, it also found that D614G mutation appeared in 103 Indonesian SARS-CoV-2 isolates. ConclusionTo sum up, this study helps to observe the spread of the COVID-19 transmission. However, it would like to propose that the epidemiological surveillance and genomics studies might be improved on COVID-19 pandemic in Indonesia.
