Characterization of specific antibodies against cytomegalovirus (CMV)-encoded interleukin 10 produced by 28% of CMV-seropositive blood donors
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Objective: Heart failure is an important cause of death in patients with rheumatoid arthritis (RA). Evidence suggests that immune mechanisms contribute to myocardial injury and fibrosis, leading to left ventricular diastolic dysfunction (LVDD). The purpose of this study was to identify a signature of LVDD in patients with RA by analyzing the responsiveness of the innate and adaptive immune systems to stimulation ex vivo.

Methods: RA patients (n=212) enrolled prospectively in a population-based cohort underwent echocardiography, and LV function was classified as normal, mild LVDD, or moderate-to-severe LVDD. The release of 17 cytokines by blood mononuclear cells in response to stimulation with a panel of 7 stimuli or in media alone was analyzed using multiplex immunoassays. Logistic regression models were used to test for associations between a multicytokine immune response score and LVDD, after adjusting for clinical covariates.

Results: An 11-cytokine profile effectively differentiated patients with moderate-to-severe LVDD from those with normal LV function. An immune response score (range 0-100) was strongly associated with moderate-to-severe LVDD (odds ratio per 10 units 1.5 [95% confidence interval 1.2-2.1]) after adjusting for serum interleukin-6 levels, brain natriuretic peptide values, and glucocorticoid use, as well as other RA characteristics and LVDD risk factors.

Conclusion: The major finding of this study was that aberrant systemic immune responsiveness is associated with advanced myocardial dysfunction in patients with RA. The unique information added by the immune response score concerning the likelihood of LVDD warrants future longitudinal studies of its value in predicting future deterioration in myocardial function.
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基因水平:PCR Array、RT-PCR、PCR、单细胞测序
蛋白水平:MSD、Luminex、CBA、Elispot、Antibody Array、ELISA、Sengenics
细胞水平:细胞染色、细胞分选、细胞培养、细胞功能
组织水平:空间多组学、多重荧光免疫组化、免疫组化、免疫荧光
数据分析:流式数据分析、组化数据分析、多因子数据分析
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