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DOI 10.1016/j.outlook.2013.03.007

Медицинская библиотека · Nursing outlook · 2013

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

Lukkahatai Nada, Majors Benjamin, Reddy Swarnalatha, Walitt Brian, Saligan Leorey N

Сравнительное исследованиеСтатьяResearch Support, N.I.H., IntramuralПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

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.

Для цитирования: Lukkahatai Nada, Majors Benjamin, Reddy Swarnalatha, Walitt Brian, Saligan Leorey N. Gene expression profiles of fatigued fibromyalgia patients with different categories of pain and catastrophizing: a preliminary report.. Nursing outlook. 2013. DOI: 10.1016/j.outlook.2013.03.007.

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