Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1016/j.jgg.2021.04.002 http://scihub22266oqcxt.onion/10.1016/j.jgg.2021.04.002 34257044!ä!34257044 Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=34257044&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 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Genet+Genomics 2021 ; 48 (9): 792-802 Nephropedia Template TP {{tp|p=34257044|t=2021. Gut microbiota, inflammation, and molecular signatures of host response to infection |pdf=|usr=}}{{34257044}} gab.com Text Gut microbiota, inflammation, and molecular signatures of host response to infection JO: J Genet Genomics http://www.kidney.de/pget.php?&tw=1&pmid=34257044 #FOAvip Gut microbial dysbiosis has been linked to many noncommunicable diseases. However, little is known about specific gut microbiota composition and its correlated metabolites associated with molecular signatures underlying host response to infection. Here, we describe the construction of a proteomic risk score based on 20 blood proteomic biomarkers, which have recently been identified as molecular signatures predicting the progression of the COVID-19. We demonstrate that in our cohort of 990 healthy individuals without infection, this proteomic risk score is positively associated with proinflammatory cytokines mainly among older, but not younger, individuals. We further discover that a core set of gut microbiota can accurately predict the above proteomic biomarkers among 301 individuals using a machine learning model and that these gut microbiota features are highly correlated with proinflammatory cytokines in another independent set of 366 individuals. Fecal metabolomics analysis suggests potential amino acid-related pathways linking gut microbiota to host metabolism and inflammation. Overall, our multi-omics analyses suggest that gut microbiota composition and function are closely related to inflammation and molecular signatures of host response to infection among healthy individuals. These results may provide novel insights into the cross-talk between gut microbiota and host immune system. Twit Text FOAVip Gut microbiota, inflammation, and molecular signatures of host response to infection ????J Genet Genomics http://www.kidney.de/pget.php?&tw=1&pmid=34257044 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34257044 #FOAvip English Wikipedia <ref>{{Cite pmid|34257044}}</ref> Gut microbiota, inflammation, and molecular signatures of host response to infection #MMPMID34257044 Gou W; Fu Y; Yue L; Chen GD; Cai X; Shuai M; Xu F; Yi X; Chen H; Zhu Y; Xiao ML; Jiang Z; Miao Z; Xiao C; Shen B; Wu X; Zhao H; Ling W; Wang J; Chen YM; Guo T; Zheng JS J Genet Genomics 2021[Sep]; 48 (9): 792-802 PMID34257044show ga Gut microbial dysbiosis has been linked to many noncommunicable diseases. However, little is known about specific gut microbiota composition and its correlated metabolites associated with molecular signatures underlying host response to infection. Here, we describe the construction of a proteomic risk score based on 20 blood proteomic biomarkers, which have recently been identified as molecular signatures predicting the progression of the COVID-19. We demonstrate that in our cohort of 990 healthy individuals without infection, this proteomic risk score is positively associated with proinflammatory cytokines mainly among older, but not younger, individuals. We further discover that a core set of gut microbiota can accurately predict the above proteomic biomarkers among 301 individuals using a machine learning model and that these gut microbiota features are highly correlated with proinflammatory cytokines in another independent set of 366 individuals. Fecal metabolomics analysis suggests potential amino acid-related pathways linking gut microbiota to host metabolism and inflammation. Overall, our multi-omics analyses suggest that gut microbiota composition and function are closely related to inflammation and molecular signatures of host response to infection among healthy individuals. These results may provide novel insights into the cross-talk between gut microbiota and host immune system. |COVID-19/microbiology[MESH] |Dysbiosis/microbiology[MESH] |Gastrointestinal Microbiome/genetics/*physiology[MESH] |Humans[MESH] |Inflammation/genetics/*metabolism[MESH]Gut microbiota, inflammation, and molecular signatures of host respons(epmc).pdf DeepDyve Pubget Overpricing