{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T00:20:02Z","timestamp":1778804402174,"version":"3.51.4"},"reference-count":38,"publisher":"The Journal of Rheumatology","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Rheumatol"],"published-print":{"date-parts":[[2019,6]]},"abstract":"<jats:sec><jats:title>Objective.<\/jats:title><jats:p>To identify commonalities in gene expression data across all antineutrophil cytoplasmic antibody (ANCA)\u2013associated vasculitis (AAV) tissues thus far characterized.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods.<\/jats:title><jats:p>Gene expression data were collected from the 3 AAV tissues thus far characterized (orbit, peripheral leukocytes, and sinus brushings). These data were analyzed to identify commonly expressed genes and disease pathways. The pathways data were adjusted for multiple comparisons using a combined local false discovery rate, which estimates the probability of a false discovery of a given pathway in all 3 tissues analyzed.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results.<\/jats:title><jats:p>Only 4 genes were upregulated in all 3 tissues \u2014<jats:italic>IL1RN<\/jats:italic>,<jats:italic>TLR2, SLC11A1<\/jats:italic>, and<jats:italic>MMP9<\/jats:italic>. After multiple comparison adjustments, the network pathway analysis revealed 28 pathways associated with all 3 tissues. The most strongly associated pathway for all 3 tissues was the neutrophil degranulation pathway [multidimensional local false discovery (md-locfdr) = 1.05 \u00d7 10<jats:sup>\u221212<\/jats:sup>], followed by the osteoclast differentiation (md-locfdr = 3.8 \u00d7 10<jats:sup>\u221205<\/jats:sup>), cell surface interactions at the vascular wall (md-locfdr = 4.2 \u00d7 10<jats:sup>\u221204<\/jats:sup>), signaling by interleukins (md-locfdr = 6.1 \u00d7 10<jats:sup>\u221204<\/jats:sup>), and phagosome (md-locfdr = 0.003) pathways. There were no downregulated genes or pathways common to all 3 tissues.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion.<\/jats:title><jats:p>This analysis identified individual genes and pathways of disease common to all AAV tissues thus far characterized. The use of a network pathway analysis allowed us to identify pathologic mechanisms that were not readily apparent in the commonly expressed genes alone. Many of these pathways are consistent with current theories about infectious drivers and the crossroads of innate and adaptive immune mechanisms. In addition, this analysis highlights novel pathways, such as vessel wall interactions and platelet activation, which require further investigation.<\/jats:p><\/jats:sec>","DOI":"10.3899\/jrheum.180455","type":"journal-article","created":{"date-parts":[[2019,1,15]],"date-time":"2019-01-15T17:26:38Z","timestamp":1547573198000},"page":"609-615","source":"Crossref","is-referenced-by-count":14,"title":["Gene Expression Pathways across Multiple Tissues in Antineutrophil Cytoplasmic Antibody-associated Vasculitis Reveal Core Pathways of Disease Pathology"],"prefix":"10.3899","volume":"46","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6722-2159","authenticated-orcid":false,"given":"Marcia A.","family":"Friedman","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1552-4072","authenticated-orcid":false,"given":"Dongseok","family":"Choi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9258-6736","authenticated-orcid":false,"given":"Stephen R.","family":"Planck","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5703-631X","authenticated-orcid":false,"given":"James T.","family":"Rosenbaum","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3684-1931","authenticated-orcid":false,"given":"Cailin H.","family":"Sibley","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"2262","published-online":{"date-parts":[[2019,1,15]]},"reference":[{"key":"2019061118352010000_46.6.609.1","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1016\/j.yexmp.2015.07.002","article-title":"Orbital pseudotumor can be a localized form of granulomatosis with polyangiitis as revealed by gene expression profiling","volume":"99","author":"Rosenbaum","year":"2015","journal-title":"Exp Mol Pathol"},{"key":"2019061118352010000_46.6.609.2","doi-asserted-by":"publisher","DOI":"10.1002\/art.3918"},{"key":"2019061118352010000_46.6.609.3","doi-asserted-by":"publisher","DOI":"10.1038\/sj.ki.5002371"},{"key":"2019061118352010000_46.6.609.4","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1007\/s12032-014-0425-6","article-title":"Meta-analysis of gene expression profiles indicates genes in spliceosome pathway are upregulated in hepatocellular carcinoma (HCC)","volume":"32","author":"Xu","year":"2015","journal-title":"Med Oncol"},{"key":"2019061118352010000_46.6.609.5","doi-asserted-by":"crossref","first-page":"826316","DOI":"10.1155\/2015\/826316","article-title":"Identification of potential transcriptomic markers in developing ankylosing spondylitis: A meta-analysis of gene expression profiles","volume":"2015","author":"Fang","year":"2015","journal-title":"Biomed Res Int"},{"key":"2019061118352010000_46.6.609.6","doi-asserted-by":"crossref","first-page":"775","DOI":"10.1007\/s10067-014-2547-9","article-title":"Meta-analysis of gene expression profiles to predict response to biologic agents in rheumatoid arthritis","volume":"33","author":"Lee","year":"2014","journal-title":"Clin Rheumatol"},{"key":"2019061118352010000_46.6.609.7","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2350-15-80"},{"key":"2019061118352010000_46.6.609.8","doi-asserted-by":"publisher","DOI":"10.1002\/ijc.27981"},{"key":"2019061118352010000_46.6.609.9","doi-asserted-by":"publisher","DOI":"10.1186\/1741-7015-9-65"},{"key":"2019061118352010000_46.6.609.10","doi-asserted-by":"publisher","DOI":"10.1126\/science.aad6469"},{"key":"2019061118352010000_46.6.609.11","doi-asserted-by":"publisher","DOI":"10.1101\/gr.1239303"},{"key":"2019061118352010000_46.6.609.12","doi-asserted-by":"publisher","DOI":"10.1186\/gb-2010-11-5-r53"},{"key":"2019061118352010000_46.6.609.13","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkx1132"},{"key":"2019061118352010000_46.6.609.14","unstructured":"ReactomeFIVIz. 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