Wos İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/11727/4807

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Author: search.filters.author.Ates, Askin

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    Behcet's: A Disease or a Syndrome? Answer from an Expression Profiling Study
    (2016) Oguz, Ali Kemal; Yilmaz, Seda Tasir; Oygur, Cagdas Sahap; Candar, Tuba; Sayin, Irmak; Kilicoglu, Sibel Serin; Ergun, Ihsan; Ates, Askin; Ozdag, Hilal; Akar, Nejat; 26890122
    Behcet's disease (BD) is a chronic, relapsing, multisystemic inflammatory disorder with unanswered questions regarding its etiology/pathogenesis and classification. Distinct manifestation based subsets, pronounced geographical variations in expression, and discrepant immunological abnormalities raised the question whether Behcet's is "a disease or a syndrome". To answer the preceding question we aimed to display and compare the molecular mechanisms underlying distinct subsets of BD. For this purpose, the expression data of the gene expression profiling and association study on BD by Xavier et al (2013) was retrieved from GEO database and reanalysed by gene expression data analysis/visualization and bioinformatics enrichment tools. There were 15 BD patients (B) and 14 controls (C). Three subsets of BD patients were generated: MB (isolated mucocutaneous manifestations, n = 7), OB (ocular involvement, n = 4), and VB (large vein thrombosis, n = 4). Class comparison analyses yielded the following numbers of differentially expressed genes (DEGs); B vs C: 4, MB vs C: 5, OB vs C: 151, VB vs C: 274, MB vs OB: 215, MB vs VB: 760, OB vs VB: 984. Venn diagram analysis showed that there were no common DEGs in the intersection "MB vs C" boolean AND "OB vs C" boolean AND "VB vs C". Cluster analyses successfully clustered distinct expressions of BD. During gene ontology term enrichment analyses, categories with relevance to IL-8 production (MB vs C) and immune response to microorganisms (OB vs C) were differentially enriched. Distinct subsets of BD display distinct expression profiles and different disease associated pathways. Based on these clear discrepancies, the designation as "Behcet's syndrome" (BS) should be encouraged and future research should take into consideration the immunogenetic heterogeneity of BS subsets. Four gene groups, namely, negative regulators of inflammation (CD69, CLEC12A, CLEC12B, TNFAIP3), neutrophil granule proteins (LTF, OLFM4, AZU1, MMP8, DEFA4, CAMP), antigen processing and presentation proteins (CTSS, ERAP1), and regulators of immune response (LGALS2, BCL10, ITCH, CEACAM8, CD36, IL8, CCL4, EREG, NFKBIZ, CCR2, CD180, KLRC4, NFAT5) appear to be instrumental in BS immunopathogenesis.
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    Methodology of a new inflammatory arthritis registry: TReasure
    (2018) Tufan, Muge Aydin; Kalyoncu, Umut; Tascilar, Etem Koray; Ertenli, Ali Ihsan; Dalkilic, Huseyin Ediz; Bes, Cemal; Kucuksahin, Orhan; Kasifoglu, Timucin; Alpay Kanitez, Nilufer; Emmungil, Hakan; Kimyon, Gezmis; Yasar Bilge, Nafize Sule; Akar, Servet; Atagunduz, Mehmet Pamir; Koca, Suleyman Serdar; Ates, Askin; Yazisiz, Veli; Terzioglu, Ender; Ersozlu, Emine Duygu; Tufan, Muge Aydin; Cinar, Muhammet; Mercan, Ridvan; Sahin, Ali; Erten, Sukran; Pehlivan, Yavuz; Yilmaz, Sedat; Kelesoglu Dincer, Ayse Bahar; Gercik, Onay; Coskun, Belkis Nihan; Yagiz, Burcu; Kaymaz Tahra, Sema; Aksoy, Aysun; Karadag, Omer; Kilic, Levent; Kiraz, Sedat; 30119164
    Background/aim: The TReasure registry, created in 2017, is an observational multicenter cohort that includes inflammatory arthritis patients. This article reviews the methodology and objectives of the TReasure registry established to collect data from rheumatoid arthritis (RA) and spondyloarthritis (SpA) patients. Methodology: Fifteen rheumatology centers in Turkey will contribute data to the TReasure database. The actual proprietor of the database is the Hacettepe Rheumatology Association (HRD) and Hacettepe Financial Enterprises. Pharmaceutical companies that operate in Turkey (in alphabetical or er), Abbvie, Amgen, BMS, Celltrion Healthcare, Novartis, Pfizer, Roche, and UCB, support the TReasure registry. TReasure is a web-based database to which users connect through a URL (https://www.trials-network.org/treasure) with their unique identifier and passwords provided for data entry and access. TReasure records demographic and clinical features, comorbidities, radiology and laboratory results, measures of disease activity, and treatment data. Discussion: TReasure will provide us with various types of data, such as a cross-sectional view of the current nationwide status of the patients currently receiving these treatments, and retrospective data as much as allowed by the participating centers' records. Finally, a high-quality prospective dataset will be built over the ensuing years from patients with a new diagnosis of RA or SpA.