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Yi Jiang,1,2,* Xin Tu,1,3,* Xia Liao,1,2,* Yixi He,1,2 Shunbing Wang,1,2 Quanbo Zhang,1,3 Yufeng Qing1,2 1Research Center of Hyperuricemia and Gout, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637000, People’s Republic of China; 2Department of Rheumatology and Immunology, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637000, People’s Republic of China; 3Department of Geriatrics, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637000, People’s Republic of China*These authors contributed equally to this workCorrespondence: Quanbo Zhang; Yufeng Qing, Research Center of Hyperuricemia and Gout, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637000, People’s Republic of China, Tel/Fax +86 08172282131, Email quanbozhang@126.com; qingyufengqq@163.comBackground: The systemic immune-inflammatory index (SII) and systemic inflammatory response index (SIRI), as novel non-specific inflammatory markers, have recently drawn attention. At present, no studies have been conducted to investigate the value of SII and SIRI in gouty arthritis (GA), so we explored their possible association with GA disease activity.Methods: The study enrolled 474 patients with acute gouty arthritis (AG), 399 patients with intercritical gouty arthritis (IG) and 194 healthy controls (HC). The differences in Monocyte-to-lymphocyte ratio (MLR), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), SII, and SIRI levels among different groups were assessed. The changes in the above indicators before and after treatment in the AG and IG groups were evaluated. Multivariate logistic regression analysis was assessed influencing factors for the acute gout attack. ROC curves were plotted to evaluate their diagnostic value for AG.Results: Compared with the IG group, the erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), PLR, and incidence of hyperlipidemia in the AG group were

Shaowei Niu,1– 3,* Tian-Yi Lei,2,3,* Fei Dai,2,3,* Hongyuan Xie,2,3 Xiang Yu,2,3 Quanbo Zhang,1,2,4 Yufeng Qing1– 3 1The First Affiliated Hospital, Jinan University, Guangzhou, People’s Republic of China; 2Research Center of Hyperuricemia and Gout, Affiliated Hospital of North Sichuan Medical College, Nanchong, People’s Republic of China; 3Department of Rheumatology and Immunology, Affiliated Hospital of North Sichuan Medical College, Nanchong, People’s Republic of China; 4Department of Geriatrics, Affiliated Hospital of North Sichuan Medical College, Nanchong, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yufeng Qing; Quanbo Zhang, Research Center of Hyperuricemia and Gout, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan Province, People’s Republic of China, Tel/Fax +86 08172282131, Email qingyufengqq@163.com; quanbozhang@126.comPurpose: Analyzed the expression characteristics of pyroptosis-related genes (PRGs) in peripheral blood mononuclear cells (PBMCs) of gout patients by microarray, and constructed ceRNA network to explore the molecular mechanism of RNA-mediated pyroptosis regulation.Patients and Methods: Human mRNA, lncRNA, circRNA microarray data were used to identify differentially expressed in PBMCs from patients with primary gout and healthy controls. Differential PRGs in PBMCs of gout patients identified by Genecard database and mRNA microarray data. GO and KEGG enrichment analyses of these genes were then conducted. Protein-protein interaction networks and cytoHubba were used to identify hub genes. Combining the lncRNA and circRNA microarray data, a ceRNA network was constructed by Cytoscape to screen out key non-coding RNA molecules that can regulate target PRGs. Finally, the relative expression levels of target miRNA and circRNA in 60 gout patients and 40 healthy subjects were detected by qRT-PCR.Results: The results revealed 30 differentia