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10.1101/gr.276175.121 http://scihub22266oqcxt.onion/10.1101/gr.276175.121 35064006!8805721!35064006     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=35064006&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Genome+Res 2022 ; 32 (2): 228-241 Nephropedia Template TP {{tp|p=35064006|t=2022. Plasma cell-free RNA characteristics in COVID-19 patients |pdf=|usr=}}{{35064006}} gab.com Text Plasma cell-free RNA characteristics in COVID-19 patients JO: Genome Res http://www.kidney.de/pget.php?&tw=1&pmid=35064006 #FOAvip The pathogenesis of COVID-19 is still elusive, which impedes disease progression prediction, differential diagnosis, and targeted therapy. Plasma cell-free RNAs (cfRNAs) carry unique information from human tissue and thus could point to resourceful solutions for pathogenesis and host-pathogen interactions. Here, we performed a comparative analysis of cfRNA profiles between COVID-19 patients and healthy donors using serial plasma. Analyses of the cfRNA landscape, potential gene regulatory mechanisms, dynamic changes in tRNA pools upon infection, and microbial communities were performed. A total of 380 cfRNA molecules were up-regulated in all COVID-19 patients, of which seven could serve as potential biomarkers (AUC > 0.85) with great sensitivity and specificity. Antiviral (NFKB1A, IFITM3, and IFI27) and neutrophil activation (S100A8, CD68, and CD63)-related genes exhibited decreased expression levels during treatment in COVID-19 patients, which is in accordance with the dynamically enhanced inflammatory response in COVID-19 patients. Noncoding RNAs, including some microRNAs (let 7 family) and long noncoding RNAs (GJA9-MYCBP) targeting interleukin (IL6/IL6R), were differentially expressed between COVID-19 patients and healthy donors, which accounts for the potential core mechanism of cytokine storm syndromes; the tRNA pools change significantly between the COVID-19 and healthy group, leading to the accumulation of SARS-CoV-2 biased codons, which facilitate SARS-CoV-2 replication. Finally, several pneumonia-related microorganisms were detected in the plasma of COVID-19 patients, raising the possibility of simultaneously monitoring immune response regulation and microbial communities using cfRNA analysis. This study fills the knowledge gap in the plasma cfRNA landscape of COVID-19 patients and offers insight into the potential mechanisms of cfRNAs to explain COVID-19 pathogenesis. Twit Text FOAVip Plasma cell-free RNA characteristics in COVID-19 patients ????Genome Res http://www.kidney.de/pget.php?&tw=1&pmid=35064006 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=35064006 #FOAvip English Wikipedia <ref>{{Cite pmid|35064006}}</ref> Plasma cell-free RNA characteristics in COVID-19 patients #MMPMID35064006 Wang Y; Li J; Zhang L; Sun HX; Zhang Z; Xu J; Xu Y; Lin Y; Zhu A; Luo Y; Zhou H; Wu Y; Lin S; Sun Y; Xiao F; Chen R; Wen L; Chen W; Li F; Ou R; Zhang Y; Kuo T; Li Y; Li L; Sun J; Sun K; Zhuang Z; Lu H; Chen Z; Mai G; Zhuo J; Qian P; Chen J; Yang H; Wang J; Xu X; Zhong N; Zhao J; Li J; Zhao J; Jin X Genome Res 2022[Feb]; 32 (2): 228-241 PMID35064006show ga The pathogenesis of COVID-19 is still elusive, which impedes disease progression prediction, differential diagnosis, and targeted therapy. Plasma cell-free RNAs (cfRNAs) carry unique information from human tissue and thus could point to resourceful solutions for pathogenesis and host-pathogen interactions. Here, we performed a comparative analysis of cfRNA profiles between COVID-19 patients and healthy donors using serial plasma. Analyses of the cfRNA landscape, potential gene regulatory mechanisms, dynamic changes in tRNA pools upon infection, and microbial communities were performed. A total of 380 cfRNA molecules were up-regulated in all COVID-19 patients, of which seven could serve as potential biomarkers (AUC > 0.85) with great sensitivity and specificity. Antiviral (NFKB1A, IFITM3, and IFI27) and neutrophil activation (S100A8, CD68, and CD63)-related genes exhibited decreased expression levels during treatment in COVID-19 patients, which is in accordance with the dynamically enhanced inflammatory response in COVID-19 patients. Noncoding RNAs, including some microRNAs (let 7 family) and long noncoding RNAs (GJA9-MYCBP) targeting interleukin (IL6/IL6R), were differentially expressed between COVID-19 patients and healthy donors, which accounts for the potential core mechanism of cytokine storm syndromes; the tRNA pools change significantly between the COVID-19 and healthy group, leading to the accumulation of SARS-CoV-2 biased codons, which facilitate SARS-CoV-2 replication. Finally, several pneumonia-related microorganisms were detected in the plasma of COVID-19 patients, raising the possibility of simultaneously monitoring immune response regulation and microbial communities using cfRNA analysis. This study fills the knowledge gap in the plasma cfRNA landscape of COVID-19 patients and offers insight into the potential mechanisms of cfRNAs to explain COVID-19 pathogenesis. |*COVID-19/blood/genetics[MESH] |*Cell-Free Nucleic Acids/blood[MESH] |Cytokine Release Syndrome[MESH] |Humans[MESH] |RNA/*blood[MESH]Plasma cell-free RNA characteristics in COVID-19 patients (epmc).pdf DeepDyve Pubget Overpricing