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10.15252/emmm.202115290 http://scihub22266oqcxt.onion/10.15252/emmm.202115290 34862752!8819313!34862752     free     free     free Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 261.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       EMBO+Mol+Med 2022 ; 14 (2): e15290 Nephropedia Template TP {{tp|p=34862752|t=2022. Predicting infectivity: comparing four PCR-based assays to detect culturable SARS-CoV-2 in clinical samples |pdf=|usr=}}{{34862752}} gab.com Text Predicting infectivity: comparing four PCR-based assays to detect culturable SARS-CoV-2 in clinical samples JO: EMBO Mol Med http://www.kidney.de/pget.php?&tw=1&pmid=34862752 #FOAvip With the COVID-19 pandemic caused by SARS-CoV-2 now in its second year, there remains an urgent need for diagnostic testing that can identify infected individuals, particularly those who harbor infectious virus. Various RT-PCR strategies have been proposed to identify specific viral RNA species that may predict the presence of infectious virus, including detection of transcriptional intermediates (e.g., subgenomic RNA [sgRNA]) and replicative intermediates (e.g., negative-strand RNA species). Using a novel primer/probe set for detection of subgenomic (sg)E transcripts, we successfully identified 100% of specimens containing culturable SARS-CoV-2 from a set of 126 clinical samples (total sgE C(T) values ranging from 12.3 to 37.5). This assay showed superior performance compared to a previously published sgRNA assay and to a negative-strand RNA assay, both of which failed to detect target RNA in a subset of samples from which we isolated live virus. In addition, total levels of viral RNA (genome, negative-strand, and sgE) detected with the WHO/Charite primer-probe set correlated closely with levels of infectious virus. Specifically, infectious virus was not detected in samples with a C(T) above 31.0. Clinical samples with higher levels of viral RNA also displayed cytopathic effect (CPE) more quickly than those with lower levels of viral RNA. Finally, we found that the infectivity of SARS-CoV-2 samples is significantly dependent on the cell type used for viral isolation, as Vero E6 cells expressing TMRPSS2 extended the analytical sensitivity of isolation by more than 3 C(T) compared to parental Vero E6 cells and resulted in faster isolation. Our work shows that using a total viral RNA Ct cutoff of > 31 or specifically testing for sgRNA can serve as an effective rule-out test for the presence of culturable virus. Twit Text FOAVip Predicting infectivity: comparing four PCR-based assays to detect culturable SARS-CoV-2 in clinical samples ????EMBO Mol Med http://www.kidney.de/pget.php?&tw=1&pmid=34862752 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34862752 #FOAvip English Wikipedia <ref>{{Cite pmid|34862752}}</ref> Predicting infectivity: comparing four PCR-based assays to detect culturable SARS-CoV-2 in clinical samples #MMPMID34862752 Bruce EA; Mills MG; Sampoleo R; Perchetti GA; Huang ML; Despres HW; Schmidt MM; Roychoudhury P; Shirley DJ; Jerome KR; Greninger AL; Botten JW EMBO Mol Med 2022[Feb]; 14 (2): e15290 PMID34862752show ga With the COVID-19 pandemic caused by SARS-CoV-2 now in its second year, there remains an urgent need for diagnostic testing that can identify infected individuals, particularly those who harbor infectious virus. Various RT-PCR strategies have been proposed to identify specific viral RNA species that may predict the presence of infectious virus, including detection of transcriptional intermediates (e.g., subgenomic RNA [sgRNA]) and replicative intermediates (e.g., negative-strand RNA species). Using a novel primer/probe set for detection of subgenomic (sg)E transcripts, we successfully identified 100% of specimens containing culturable SARS-CoV-2 from a set of 126 clinical samples (total sgE C(T) values ranging from 12.3 to 37.5). This assay showed superior performance compared to a previously published sgRNA assay and to a negative-strand RNA assay, both of which failed to detect target RNA in a subset of samples from which we isolated live virus. In addition, total levels of viral RNA (genome, negative-strand, and sgE) detected with the WHO/Charite primer-probe set correlated closely with levels of infectious virus. Specifically, infectious virus was not detected in samples with a C(T) above 31.0. Clinical samples with higher levels of viral RNA also displayed cytopathic effect (CPE) more quickly than those with lower levels of viral RNA. Finally, we found that the infectivity of SARS-CoV-2 samples is significantly dependent on the cell type used for viral isolation, as Vero E6 cells expressing TMRPSS2 extended the analytical sensitivity of isolation by more than 3 C(T) compared to parental Vero E6 cells and resulted in faster isolation. Our work shows that using a total viral RNA Ct cutoff of > 31 or specifically testing for sgRNA can serve as an effective rule-out test for the presence of culturable virus. |*COVID-19[MESH] |*SARS-CoV-2[MESH] |Humans[MESH] |Pandemics[MESH] |Polymerase Chain Reaction[MESH]Predicting infectivity: comparing four PCR-based assays to detect cult(epmc).pdf DeepDyve Pubget Overpricing