An explorative study on deep profiling of peripheral leukocytes to identify predictors for responsiveness to anti-tumour necrosis factor alpha therapies in ankylosing spondylitis: natural killer cells in focus

一项探索性研究旨在通过对外周血白细胞进行深度分析,识别强直性脊柱炎患者对抗肿瘤坏死因子α疗法反应的预测因子:重点关注自然杀伤细胞。

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Abstract

BACKGROUND: Therapeutic targeting of tumour necrosis factor (TNF)-α is highly effective in ankylosing spondylitis (AS) patients. However, since one-third of anti-TNF-treated AS patients do not show an adequate clinical response there is an urgent need for new biomarkers that would aid clinicians in their decision-making to select appropriate therapeutic options. Thus, the aim of this explorative study was to identify cell-based biomarkers in peripheral blood that could be used for a pre-treatment stratification of AS patients. METHODS: A high-dimensional, multi-parametric flow cytometric approach was applied to identify baseline predictors in 31 AS patients before treatment with the TNF blockers adalimumab (TNF-neutralisation) and etanercept (soluble TNF receptor). RESULTS: As the major result, the frequencies of natural killer (NK) cells, and in particular CD8-positive (CD8(+)) NK cell subsets, were most predictive for therapeutic outcome in AS patients. While an inverse correlation between classical CD56(+)/CD16(+) NK cells and reduction of disease activity was observed, the CD8(+) NK cell subset behaved in the opposite direction. At baseline, responders showed significantly increased frequencies of CD8(+) NK cells compared with non-responders. CONCLUSIONS: This is the first study demonstrating that the composition of the NK cell compartment has predictive power for prediction of therapeutic outcome for anti-TNF-α blockers, and we identified CD8(+) NK cells as a potential new player in the TNF-α-driven chronic inflammatory immune response of AS.

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