A differential network approach to exploring differences between biological states: an application to prediabetes.
A differential network approach to exploring differences between biological states: an application to prediabetes.
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DOI：
10.1371/journal.pone.0024702
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发表时间：
2011
期刊：
影响因子：
3.7
通讯作者：
de Iorio M
中科院分区：
文献类型：
--
作者：
Valcárcel B;Würtz P;Seich al Basatena NK;Tukiainen T;Kangas AJ;Soininen P;Järvelin MR;Ala-Korpela M;Ebbels TM;de Iorio M
在疾病发展过程中观察到分子关联模式的变化。综合分析分子关联模式及其在不同生理条件下的变化，可以深入了解疾病特异性表型变异的生物学基础。在这里，我们引入一种正式的统计方法，通过网络表示来进行分子关联的差异分析。我们通过对4406名空腹血糖正常患者和531名空腹血糖受损（前驱糖尿病）患者的核磁共振光谱测量的脂蛋白亚类的大量数据来说明我们的方法。我们使用偏相关的收缩估计来估计度量之间的成对关联，并基于这种关联度量构建差分网络。我们探索推断网络的拓扑特性，以深入了解正常空腹血糖和前驱糖尿病个体之间重要的代谢差异。差分网络提供了表征生物状态差异的新见解。根据传统的统计方法，在空腹血糖正常的个体和糖尿病前期个体之间，脂蛋白亚类的浓度水平几乎没有差异。通过对网络进行差异分析，确定了几种已知与糖尿病血脂异常相关的脂蛋白代谢特征变化。结果表明，新方法可用于识别标准方法无法识别的关键分子变化。
Variations in the pattern of molecular associations are observed during disease development. The comprehensive analysis of molecular association patterns and their changes in relation to different physiological conditions can yield insight into the biological basis of disease-specific phenotype variation. Here, we introduce a formal statistical method for the differential analysis of molecular associations via network representation. We illustrate our approach with extensive data on lipoprotein subclasses measured by NMR spectroscopy in 4,406 individuals with normal fasting glucose, and 531 subjects with impaired fasting glucose (prediabetes). We estimate the pair-wise association between measures using shrinkage estimates of partial correlations and build the differential network based on this measure of association. We explore the topological properties of the inferred network to gain insight into important metabolic differences between individuals with normal fasting glucose and prediabetes. Differential networks provide new insights characterizing differences in biological states. Based on conventional statistical methods, few differences in concentration levels of lipoprotein subclasses were found between individuals with normal fasting glucose and individuals with prediabetes. By performing the differential analysis of networks, several characteristic changes in lipoprotein metabolism known to be related to diabetic dyslipidemias were identified. The results demonstrate the applicability of the new approach to identify key molecular changes inaccessible to standard approaches.
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影响因子：
7.7
作者：
Mora S;Otvos JD;Rosenson RS;Pradhan A;Buring JE;Ridker PM
通讯作者：
Ridker PM
影响因子：
4.2
作者：
Soininen, Pasi;Kangas, Antti J.;Ala-Korpela, Mika
通讯作者：
Ala-Korpela, Mika
影响因子：
37.8
作者：
Festa, A;Williams, K;Haffner, SM
通讯作者：
Haffner, SM
一种新型的贝叶斯方法来量化临床变量并确定1H NMR替代数据中的光谱对应物。
影响因子：
3
作者：
Vehtari, Aki;Makinen, Ville-Petteri;Soininen, Pasi;Ingman, Petri;Makela, Sanna M;Savolainen, Markku J;Hannuksela, Minna L;Kaski, Kimmo;Ala-Korpela, Mika
通讯作者：
Ala-Korpela, Mika
影响因子：
56.9
作者：
Barabási, AL;Albert, R
通讯作者：
Albert, R