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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 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 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\24644069 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       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: To characterize the microbiome of the temporal artery in patients with giant cell arteritis (GCA), and to apply an unbiased and comprehensive shotgun sequencing-based approach to determine whether there is an enrichment of candidate pathogens in the affected tissue. METHODS: Temporal artery biopsy specimens were collected from patients at a single institution over a period of 4 years, and unbiased DNA sequencing was performed on 17 formalin-fixed, paraffin-embedded specimens. Twelve of the 17 patients fulfilled the clinical and histopathologic criteria for GCA, and the other 5 patients served as controls. Using PathSeq software, human DNA sequences were computationally subtracted, and the remaining non-human DNA sequences were 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 between GCA cases and controls was carried out using hierarchical clustering and linear discriminant analysis of 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 1 control sample. 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 biopsy specimens from GCA cases, in comparison with non-GCA 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 PMID24644069 show ga OBJECTIVE: To characterize the microbiome of the temporal artery in patients with giant cell arteritis (GCA), and to apply an unbiased and comprehensive shotgun sequencing-based approach to determine whether there is an enrichment of candidate pathogens in the affected tissue. METHODS: Temporal artery biopsy specimens were collected from patients at a single institution over a period of 4 years, and unbiased DNA sequencing was performed on 17 formalin-fixed, paraffin-embedded specimens. Twelve of the 17 patients fulfilled the clinical and histopathologic criteria for GCA, and the other 5 patients served as controls. Using PathSeq software, human DNA sequences were computationally subtracted, and the remaining non-human DNA sequences were 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 between GCA cases and controls was carried out using hierarchical clustering and linear discriminant analysis of 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 1 control sample. 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 biopsy specimens from GCA cases, in comparison with non-GCA 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. |*Microbiota [MESH] |Aged [MESH] |Aged, 80 and over [MESH] |Biopsy [MESH] |DNA, Bacterial/genetics [MESH] |Escherichia coli Infections/complications [MESH] |Escherichia coli/genetics [MESH] |Female [MESH] |Giant Cell Arteritis/*microbiology/*pathology [MESH] |Gram-Positive Bacterial Infections/complications [MESH] |Humans [MESH] |Male [MESH] |Moraxella catarrhalis/genetics [MESH] |Moraxellaceae Infections/complications [MESH] |Propionibacterium acnes/genetics [MESH]In search of a candidate pathogen for giant cell arteritis: sequencing(epmc).pdf DeepDyve Pubget Overpricing