PDF(Pubmed)
Abstract：
UNASSIGNED: Fibromyalgia (FM) is a syndrome characterized by chronic musculoskeletal pain. Its clinical symptoms include both somatic and psychiatric symptoms, making the treatment of FM extremely challenging. The cause of FM is still unknown, and some patients do not improve their symptoms even after long-term active treatment. Thus, the development of new targeted therapies is important to reduce pain and improve quality of life for FM patients.
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.
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.
摘要：
■纤维肌痛（FM）是一种以慢性肌肉骨骼疼痛为特征的综合征。其临床症状包括躯体和精神症状，使FM的治疗极具挑战性。FM的原因仍然未知，一些患者即使经过长期积极治疗也没有改善症状。因此，新的靶向治疗方法的开发对于减轻疼痛和提高FM患者的生活质量具有重要意义.
■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。
■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。
