UNASSIGNED: In this study, we screened genes and secreted factors that play key roles in FM through bioinformatics and big data analysis. Furthermore, we performed CCK-8, qRT-PCR, glucose, ATP and lactate content testing, dual luciferase reporter gene assay to investigate the potential mechanism of complement factor D in fibromyalgia development.
UNASSIGNED: In bioinformatics and big data analysis, we identified CFD was negatively correlated with the pro-inflammatory factor IL-6 and positively correlated with the anti-inflammatory factor IL-4, which suggested that CFD may be an anti-inflammatory factor. Through cellular assays, we verified that CFD reversed the decrease in IL-4 expression and the increase in IL-6 expression in BV2 cells caused by ATP.
UNASSIGNED: In summary, based on bioinformatic methods and big data mining we obtained a new target CFD for FM, and further experiments verified that CFD has significant inhibition of ATP-induced neuropathic pain. These findings provide a new theoretical basis for the clinical translation of CFD.
■在这项研究中,我们通过生物信息学和大数据分析筛选了在FM中起关键作用的基因和分泌因子。此外,我们进行了CCK-8,qRT-PCR,葡萄糖,ATP和乳酸含量测试,双荧光素酶报告基因分析,探讨补体因子D在纤维肌痛发生发展中的潜在机制。
■在生物信息学和大数据分析中,我们发现CFD与促炎因子IL-6呈负相关,与抗炎因子IL-4呈正相关,提示CFD可能是一种抗炎因子。通过细胞检测,我们证实CFD逆转了ATP引起的BV2细胞中IL-4表达的减少和IL-6表达的增加。
■总之,基于生物信息学方法和大数据挖掘,我们获得了FM的新目标CFD,进一步实验证实CFD对ATP诱导的神经病理性疼痛有明显的抑制作用。这些发现为CFD的临床转化提供了新的理论依据。