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10.1002/art.38631 http://scihub22266oqcxt.onion/10.1002/art.38631 C4113339!4113339!24644069     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 Deprecated: Implicit conversion from float 263.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 263.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 263.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 263.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Arthritis+Rheumatol 2014 ; 66 (7): 1939-44 Nephropedia Template TP {{tp|p=24644069|t=2014. In search of a candidate pathogen for giant cell arteritis: sequencing based characterization of the giant cell arteritis microbiome |pdf=|usr=}}{{24644069}} gab.com Text In search of a candidate pathogen for giant cell arteritis: sequencing based characterization of the giant cell arteritis microbiome JO: Arthritis Rheumatol http://www.kidney.de/pget.php?&tw=1&pmid=24644069 #FOAvip Objective: The objectives of this study were (1) to characterize the microbiome of the temporal artery in patients with giant cell arteritis and (2) to apply an unbiased and comprehensive shotgun sequencing-based approach to determine if there is an enrichment of candidate pathogens in affected tissues. Methods: We performed unbiased DNA sequencing of 17 formalin-fixed, paraffin-embedded temporal artery biopsy specimens collected at a single institution over a period of four years. Twelve cases fulfilled clinical and histopathological criteria for GCA. Five cases served as controls. Using PathSeq software, human sequences were computationally subtracted and the remaining non-human sequences taxonomically classified using a comprehensive microbial sequence database. The relative abundance of microbes was inferred based on read counts assigned to each organism. Comparison of the microbial diversity in cases versus controls was carried out using hierarchical clustering and linear discriminant analysis effect size. Results: Propionibacterium acnes and Escherichia coli were the most abundant microorganisms in 16 of the 17 samples and Moraxella catarrhalis was the most abundant organism in one control. Pathogens previously described to be correlated with GCA were not differentially abundant in cases, compared to controls. There was not a significant burden of likely pathogenic viruses. Conclusion: DNA sequencing of temporal artery biopsies from GCA cases and controls showed no evidence of previously identified candidate GCA pathogens. A single pathogen was not clearly and consistently associated with GCA in this case series. Twit Text FOAVip In search of a candidate pathogen for giant cell arteritis: sequencing based characterization of the giant cell arteritis microbiome ????Arthritis Rheumatol http://www.kidney.de/pget.php?&tw=1&pmid=24644069 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=24644069 #FOAvip English Wikipedia <ref>{{Cite pmid|24644069}}</ref> In search of a candidate pathogen for giant cell arteritis: sequencing based characterization of the giant cell arteritis microbiome #MMPMID24644069 Bhatt AS; Manzo VE; Pedamallu CS; Duke F; Cai D; Bienfang DC; Padera RF; Meyerson M; Docken WP Arthritis Rheumatol 2014[Jul]; 66 (7): 1939-44 PMID24644069show ga Objective: The objectives of this study were (1) to characterize the microbiome of the temporal artery in patients with giant cell arteritis and (2) to apply an unbiased and comprehensive shotgun sequencing-based approach to determine if there is an enrichment of candidate pathogens in affected tissues. Methods: We performed unbiased DNA sequencing of 17 formalin-fixed, paraffin-embedded temporal artery biopsy specimens collected at a single institution over a period of four years. Twelve cases fulfilled clinical and histopathological criteria for GCA. Five cases served as controls. Using PathSeq software, human sequences were computationally subtracted and the remaining non-human sequences taxonomically classified using a comprehensive microbial sequence database. The relative abundance of microbes was inferred based on read counts assigned to each organism. Comparison of the microbial diversity in cases versus controls was carried out using hierarchical clustering and linear discriminant analysis effect size. Results: Propionibacterium acnes and Escherichia coli were the most abundant microorganisms in 16 of the 17 samples and Moraxella catarrhalis was the most abundant organism in one control. Pathogens previously described to be correlated with GCA were not differentially abundant in cases, compared to controls. There was not a significant burden of likely pathogenic viruses. Conclusion: DNA sequencing of temporal artery biopsies from GCA cases and controls showed no evidence of previously identified candidate GCA pathogens. A single pathogen was not clearly and consistently associated with GCA in this case series. äIn search of a candidate pathogen for giant cell arteritis: sequencing(epmc).pdf DeepDyve Pubget Overpricing