Exploring the diagnostic potential of immune biomarker coexpression in Gulf War Illness.

Exploring the diagnostic potential of immune biomarker coexpression in Gulf War Illness.
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DOI:
10.1007/978-1-62703-071-7_8
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发表时间:
2012-01-01
期刊:
Methods in molecular biology (Clifton, N.J.)
影响因子:
--
通讯作者:
Klimas, Nancy G
Klimas, Nancy G
中科院分区:
其他
文献类型:
--
作者:
Broderick, Gordon;Fletcher, Mary Ann;Klimas, Nancy G

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像海湾战争病(GWI)这样的复杂疾病通常无法根据单一生物标志物进行诊断,并且只能通过考虑响应挑战测量的多个标志物的共表达来区分。我们证明了这种方法的实际应用,使用一个例子,血液收集从26 GWI,13个健康对照组,和9个不健康的控制慢性疲劳在三个点在分级运动挑战。使用n = 10个GWI和n = 11个健康对照的训练集构建基于12个内分泌和免疫功能标志物的3向多变量投影模型。这些群体几乎完全分离的基础上,两个共表达模式。在单独的测试集中,这些相同的特征允许区分新的GWI受试者(n = 16)与不健康(n = 9)和健康对照受试者,灵敏度为70%,特异性为90%。
Complex disorders like Gulf War Illness (GWI) often defy diagnosis on the basis of a single biomarker and may only be distinguishable by considering the coexpression of multiple markers measured in response to a challenge. We demonstrate the practical application of such an approach using an example where blood was collected from 26 GWI, 13 healthy control subjects, and 9 unhealthy controls with Chronic Fatigue at three points during a graded exercise challenge. A 3-way multivariate projection model based on 12 markers of endocrine and immune function was constructed using a training set of n = 10 GWI and n = 11 healthy controls. These groups were separated almost completely on the basis of two coexpression patterns. In a separate test set these same features allowed for discrimination of new GWI subjects (n = 16) from unhealthy (n = 9) and healthy control subjects with a sensitivity of 70% and a specificity of 90%.