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疲劳性纤维肌痛患者不同疼痛类别和灾难化分组的基因表达谱:初步报告。

Gene expression profiles of fatigued fibromyalgia patients with different categories of pain and catastrophizing: a preliminary report.

机构信息

National Institute of Nursing Research, National Institutes of Health, Bethesda, MD 20892, USA.

出版信息

Nurs Outlook. 2013 Jul-Aug;61(4):216-224.e2. doi: 10.1016/j.outlook.2013.03.007. Epub 2013 May 16.

Abstract

BACKGROUND

Fibromyalgia (FM) is a chronic condition characterized by diffused musculoskeletal pain and overwhelming fatigue.

PURPOSE

To compare the gene expression profiles of fatigued FM women with different levels of pain and catastrophizing.

METHODS

Nine women with FM enrolled in an active Medstar Research Institute protocol were included in the gene expression analyses of peripheral blood RNA via Affymetrix GeneChip Human Genome U133 Plus 2.0 array (Santa Clara, CA). Scores from Brief Pain Inventory, Pain Catastrophizing Scale, and Multidimensional Fatigue Inventory categorized the nine participants into pain (high, n = 3; low, n = 6) and catastrophizing groups (high, n = 5; low, n = 4).

DISCUSSION

Differential expression of 107 genes between the high and low pain groups and 139 genes between the high and low catastrophizing groups (over 2.0-fold change, p < .05) were observed. Network analyses showed interferon signaling and interferon regulatory activation factor pathways distinguished between the pain groups whereas dendritic cell maturation delineated between the catastrophizing groups.

CONCLUSION

Findings provide preliminary evidence that specific physiological pathways may possibly delineate pain and catastrophizing mechanisms. Further investigation via the use of a larger and more homogenous sample is warranted.

摘要

背景

纤维肌痛(FM)是一种以弥漫性肌肉骨骼疼痛和压倒性疲劳为特征的慢性疾病。

目的

比较不同疼痛水平和灾难化程度的疲劳性 FM 女性的基因表达谱。

方法

9 名参加 Medstar 研究所主动方案的 FM 女性被纳入外周血 RNA 的基因表达分析,使用 Affymetrix GeneChip Human Genome U133 Plus 2.0 阵列(加利福尼亚州圣克拉拉)。Brief Pain Inventory、Pain Catastrophizing Scale 和 Multidimensional Fatigue Inventory 的评分将 9 名参与者分为疼痛(高,n = 3;低,n = 6)和灾难化组(高,n = 5;低,n = 4)。

讨论

在高痛组和低痛组之间观察到 107 个基因的差异表达,在高灾难化组和低灾难化组之间观察到 139 个基因的差异表达(变化倍数超过 2.0 倍,p <.05)。网络分析表明,干扰素信号和干扰素调节激活因子途径区分了疼痛组,而树突状细胞成熟则区分了灾难化组。

结论

研究结果初步表明,特定的生理途径可能可以区分疼痛和灾难化机制。需要使用更大和更同质的样本进行进一步研究。

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