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10.1128/Spectrum.00055-21 http://scihub22266oqcxt.onion/10.1128/Spectrum.00055-21 34643448!8515944!34643448     free     free     free Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Microbiol+Spectr 2021 ; 9 (2): e0005521 Nephropedia Template TP {{tp|p=34643448|t=2021. Oral Microbiome Alterations and SARS-CoV-2 Saliva Viral Load in Patients with COVID-19 |pdf=|usr=}}{{34643448}} gab.com Text Oral Microbiome Alterations and SARS-CoV-2 Saliva Viral Load in Patients with COVID-19 JO: Microbiol Spectr http://www.kidney.de/pget.php?&tw=1&pmid=34643448 #FOAvip Bacterial-viral interactions in saliva have been associated with morbidity and mortality for respiratory viruses such as influenza and SARS-CoV. However, such transkingdom relationships during SARS-CoV-2 infection are currently unknown. Here, we aimed to elucidate the relationship between saliva microbiota and SARS-CoV-2 in a cohort of newly hospitalized COVID-19 patients and controls. We used 16S rRNA sequencing to compare microbiome diversity and taxonomic composition between COVID-19 patients (n = 53) and controls (n = 59) and based on saliva SARS-CoV-2 viral load as measured using reverse transcription PCR (RT-PCR). The saliva microbiome did not differ markedly between COVID-19 patients and controls. However, we identified significant differential abundance of numerous taxa based on saliva SARS-CoV-2 viral load, including multiple species within Streptococcus and Prevotella. IMPORTANCE Alterations to the saliva microbiome based on SARS-CoV-2 viral load indicate potential biologically relevant bacterial-viral relationships which may affect clinical outcomes in COVID-19 disease. Twit Text FOAVip Oral Microbiome Alterations and SARS-CoV-2 Saliva Viral Load in Patients with COVID-19 ????Microbiol Spectr http://www.kidney.de/pget.php?&tw=1&pmid=34643448 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34643448 #FOAvip English Wikipedia <ref>{{Cite pmid|34643448}}</ref> Oral Microbiome Alterations and SARS-CoV-2 Saliva Viral Load in Patients with COVID-19 #MMPMID34643448 Miller EH; Annavajhala MK; Chong AM; Park H; Nobel YR; Soroush A; Blackett JW; Krigel A; Phipps MM; Freedberg DE; Zucker J; Sano ED; Uhlemann AC; Abrams JA Microbiol Spectr 2021[Oct]; 9 (2): e0005521 PMID34643448show ga Bacterial-viral interactions in saliva have been associated with morbidity and mortality for respiratory viruses such as influenza and SARS-CoV. However, such transkingdom relationships during SARS-CoV-2 infection are currently unknown. Here, we aimed to elucidate the relationship between saliva microbiota and SARS-CoV-2 in a cohort of newly hospitalized COVID-19 patients and controls. We used 16S rRNA sequencing to compare microbiome diversity and taxonomic composition between COVID-19 patients (n = 53) and controls (n = 59) and based on saliva SARS-CoV-2 viral load as measured using reverse transcription PCR (RT-PCR). The saliva microbiome did not differ markedly between COVID-19 patients and controls. However, we identified significant differential abundance of numerous taxa based on saliva SARS-CoV-2 viral load, including multiple species within Streptococcus and Prevotella. IMPORTANCE Alterations to the saliva microbiome based on SARS-CoV-2 viral load indicate potential biologically relevant bacterial-viral relationships which may affect clinical outcomes in COVID-19 disease. |Bacteria/*classification/genetics[MESH] |COVID-19/*pathology[MESH] |Dysbiosis/microbiology[MESH] |Female[MESH] |Humans[MESH] |Male[MESH] |Microbial Interactions/*physiology[MESH] |Microbiota/genetics[MESH] |Middle Aged[MESH] |Nasopharynx/microbiology[MESH] |RNA, Ribosomal, 16S/genetics[MESH] |SARS-CoV-2/*isolation & purification[MESH] |Saliva/*microbiology[MESH]Oral Microbiome Alterations and SARS-CoV-2 Saliva Viral Load in Patien(epmc).pdf DeepDyve Pubget Overpricing