PuSH - Publication Server of Helmholtz Zentrum München

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1.
Quell, J. et al.: Characterization of bulk phosphatidylcholine compositions in human plasma using side-chain resolving lipidomics. Metabolites 9:109 (2019)
2.
Yu, B.* et al.: Metabolomics identifies novel blood biomarkers of pulmonary function and COPD in the general population. Metabolites 9:61 (2019)
3.
Zierer, J. et al.: The fecal metabolome as a functional readout of the gut microbiome. Nat. Genet. 50, 790-795 (2018)
4.
Adam, J. et al.: Response to comment on Adam et al. Metformin effect on nontargeted metabolite profiles in patients with type 2 diabetes and in multiple murine tissues. Diabetes 2016;65:3776-3785. Diabetes 66, e3-e4 (2017)
5.
Menni, C.* et al.: Metabolomic profiling of long-term weight change: Role of oxidative stress and urate levels in weight gain. Obesity 25, 1618-1624 (2017)
6.
Menni, C.* et al.: Omega-3 fatty acids correlate with gut microbiome diversity and production of N-carbamylglutamate in middle aged and elderly women. Sci. Rep. 7:11079 (2017)
7.
Pallister, T.* et al.: Hippurate as a metabolomic marker of gut microbiome diversity: Modulation by diet and relationship to metabolic syndrome. Sci. Rep. 7:13670 (2017)
8.
Quell, J. et al.: Automated pathway and reaction prediction facilitates in silico identification of unknown metabolites in human cohort studies. J. Chromatogr. B 1071, 58-67 (2017)
9.
Sekula, P.* et al.: From discovery to translation: Characterization of c-mannosyltryptophan and pseudouridine as markers of kidney function. Sci. Rep. 7:17400 (2017)
10.
Adam, J. et al.: Metformin effect on non-targeted metabolite profiles in patients with type 2 diabetes and multiple murine tissues. Diabetes 65, 3776-3785 (2016)
11.
Pallister, T.* et al.: Metabolites of milk intake: A metabolomic approach in UK twins with findings replicated in two European cohorts. Eur. J. Nutr. 56, 2379-2391 (2016)
12.
Sekula, P.* et al.: A metabolome-wide association study of kidney function and disease in the general population. J. Am. Soc. Nephrol. 27, 1175-1188 (2016)
13.
Yousri, N.A.* et al.: Diagnostic and prognostic metabolites identified for joint symptoms in the KORA population. J. Proteome Res. 15, 554-562 (2016)
14.
Zierer, J. et al.: Metabolomics profiling reveals novel markers for leukocyte telomere length. Aging 8, 77-94 (2016)
15.
Menni, C.* et al.: Metabolomic identification of a novel pathway of blood pressure regulation involving hexadecanedioate. Hypertension 66, 422-429 (2015)
16.
Suhre, K. et al.: Urine metabolite profiles predictive of human kidney allograft status. J. Am. Soc. Nephrol. 27, 626-636 (2015)
17.
Padmanabhan, S.* et al.: Circulating levels of a dicarboxylic acid associate with blood pressure, predict mortality and response to antihypertensive drugs. A multi-omics study. J. Hum. Hypertens. 28, 638 (2014)
18.
Petersen, A.-K. et al.: Epigenetics meets metabolomics: An epigenome-wide association study with blood serum metabolic traits. Hum. Mol. Genet. 23, 534-545 (2014)
19.
Shin, S.Y.* et al.: An atlas of genetic influences on human blood metabolites. Nat. Genet. 46, 543-550 (2014)
20.
Yousri, N.A.* et al.: Long term conservation of human metabolic phenotypes and link to heritability. Catal. Lett. 10, 1005-1017 (2014)