Comparison of metabolite networks from four German population-based studies.
Comparison of metabolite networks from four German population-based studies.
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DOI：
10.1093/ije/dyy119
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发表时间：
2018-12-01
影响因子：
7.7
通讯作者：
Floegel A
中科院分区：
文献类型：
--
作者：
Iqbal K;Dietrich S;Wittenbecher C;Krumsiek J;Kühn T;Lacruz ME;Kluttig A;Prehn C;Adamski J;von Bergen M;Kaaks R;Schulze MB;Boeing H;Floegel A
代谢物网络被认为反映了健康和疾病的生物学途径。然而，尚不清楚这种代谢物网络是否在不同人群中可重复。因此，本研究旨在研究4项德国人群研究中代谢物网络的相似性。在欧洲癌症和营养前瞻性研究（EPIC）-波茨坦（n = 2458）、EPIC-海德堡（n = 812）、KORA（奥格斯堡地区合作健康研究）（n = 3029）和CARLA（哈雷心血管疾病、生活和衰老）（n = 1427）中，使用靶向代谢组学对100种血清代谢物进行了定量。在横截面分析中，基于这些代谢物的偏相关性，使用高斯图形模型来构建每个100个边的类似网络。基于（i）共同特征，即共同边缘的数量、Pearson相关性（r）和汉明距离（h）;以及（ii）四个网络的荟萃分析，对前100个边缘的四个代谢物网络进行比较。在四个网络中，确定了57个共同的边缘和66个共同的节点（代谢物）。成对网络比较显示网络之间的中度至高度相似性（r = 63-0.96，h = 7-72）。网络的荟萃分析显示，在荟萃分析网络的100条边和89个节点中，所有4个网络中存在57条边和66个代谢物，至少3个网络中存在58-76条边和75-89个节点，至少2个网络中存在63-84条边和76-87条边。荟萃分析网络显示10种鞘脂、8种溶血磷脂酰胆碱、31种酰基-烷基-磷脂酰胆碱、30种二酰基-磷脂酰胆碱、8种氨基酸和2种酰基肉毒碱的明确分组。我们从四项大型研究中发现了代谢物网络的结构相似性。使用荟萃分析网络，作为一种新的方法，从不同的研究，密切相关的代谢物数据相结合，可以确定，其中一些代谢途径中的生物学关系已被描述。它们是进一步研究的候选者，以探索它们在生物过程中的潜在作用。
Metabolite networks are suggested to reflect biological pathways in health and disease. However, it is unknown whether such metabolite networks are reproducible across different populations. Therefore, the current study aimed to investigate similarity of metabolite networks in four German population-based studies. One hundred serum metabolites were quantified in European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam (n = 2458), EPIC-Heidelberg (n = 812), KORA (Cooperative Health Research in the Augsburg Region) (n = 3029) and CARLA (Cardiovascular Disease, Living and Ageing in Halle) (n = 1427) with targeted metabolomics. In a cross-sectional analysis, Gaussian graphical models were used to construct similar networks of 100 edges each, based on partial correlations of these metabolites. The four metabolite networks of the top 100 edges were compared based on (i) common features, i.e. number of common edges, Pearson correlation (r) and hamming distance (h); and (ii) meta-analysis of the four networks. Among the four networks, 57 common edges and 66 common nodes (metabolites) were identified. Pairwise network comparisons showed moderate to high similarity (r = 63–0.96, h = 7–72), among the networks. Meta-analysis of the networks showed that, among the 100 edges and 89 nodes of the meta-analytic network, 57 edges and 66 metabolites were present in all the four networks, 58–76 edges and 75–89 nodes were present in at least three networks, and 63–84 edges and 76–87 edges were present in at least two networks. The meta-analytic network showed clear grouping of 10 sphingolipids, 8 lyso-phosphatidylcholines, 31 acyl-alkyl-phosphatidylcholines, 30 diacyl-phosphatidylcholines, 8 amino acids and 2 acylcarnitines. We found structural similarity in metabolite networks from four large studies. Using a meta-analytic network, as a new approach for combining metabolite data from different studies, closely related metabolites could be identified, for some of which the biological relationships in metabolic pathways have been previously described. They are candidates for further investigation to explore their potential role in biological processes.
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影响因子：
7.7
作者：
Floegel A;Stefan N;Yu Z;Mühlenbruch K;Drogan D;Joost HG;Fritsche A;Häring HU;Hrabě de Angelis M;Peters A;Roden M;Prehn C;Wang-Sattler R;Illig T;Schulze MB;Adamski J;Boeing H;Pischon T
通讯作者：
Pischon T
影响因子：
--
作者：
Krumsiek J;Suhre K;Illig T;Adamski J;Theis FJ
通讯作者：
Theis FJ
影响因子：
3.5
作者：
Rathmann, W.;Strassburger, K.;Meisinger, C.
通讯作者：
Meisinger, C.
影响因子：
--
作者：
Lacruz, Maria Elena;Kluttig, Alexander;Haerting, Johannes
通讯作者：
Haerting, Johannes
DOI：
10.1007/s11306-015-0829-0
发表时间：
2015
期刊：
Metabolomics : Official journal of the Metabolomic Society
影响因子：
--
作者：
Krumsiek J;Mittelstrass K;Do KT;Stückler F;Ried J;Adamski J;Peters A;Illig T;Kronenberg F;Friedrich N;Nauck M;Pietzner M;Mook-Kanamori DO;Suhre K;Gieger C;Grallert H;Theis FJ;Kastenmüller G
通讯作者：
Kastenmüller G