PuSH - Publication Server of Helmholtz Zentrum München

125 Records found.
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1.
Do, K.T. ; Rasp, D.J.N.P. ; Kastenmüller, G. ; Suhre, K. & Krumsiek, J.: MoDentify: Phenotype-driven module identification in metabolomics networks at different resolutions. Bioinformatics 35, 532-534 (2019)
2.
Goudey, B.* ; Fung, B.J.* ; Schieber, C.* ; Faux, N.G.* & Alzheimer's Disease Neuroimaging Initiative (Kastenmüller, G. ; Arnold, M.): A blood-based signature of cerebrospinal fluid Aβ1-42 status. Sci. Rep. 9:4163 (2019)
3.
Liebsch, C.* et al.: The saliva metabolome in association to oral health status. J. Dent. Res. 98, 642-651 (2019)
4.
Masuch, A.* et al.: Metabolic signature associated with parameters of the complete blood count in apparently healthy individuals. J. Cell. Mol. Med., accepted (2019)
5.
Matejka, K. et al.: Dynamic modelling of an ACADS genotype in fatty acid oxidation - Application of cellular models for the analysis of common genetic variants. PLoS ONE 14:e0216110 (2019)
6.
Nho, K.* et al.: Altered bile acid profile in mild cognitive impairment and Alzheimer's disease: Relationship to neuroimaging and CSF biomarkers. Alzheimers Dement. 15, 232-244 (2019)
7.
Quell, J. et al.: Characterization of bulk phosphatidylcholine compositions in human plasma using side-chain resolving lipidomics. Metabolites 9:109 (2019)
8.
Yu, B.* et al.: Metabolomics identifies novel blood biomarkers of pulmonary function and COPD in the general population. Metabolites 9:61 (2019)
9.
Arnold, M. ; Raffler, J. ; Suhre, K.* & Kastenmüller, G.: Datenbasierte Funktionsvorhersage krankheitsrelevanter genetischer Varianten. BioSpektrum 24, 662-663 (2018)
10.
Barrios, C.* et al.: Circulating metabolic biomarkers of renal function in diabetic and non-diabetic populations. Sci. Rep. 8:15249 (2018)
11.
di Giuseppe, R.* et al.: Metabolomics signature associated with circulating serum selenoprotein P levels. Endocrine 64, 486-495 (2018)
12.
Do, K.T. et al.: Characterization of missing values in untargeted MS-based metabolomics data and evaluation of missing data handling strategies. Metabolomics 14:128 (2018)
13.
Halama, A.* et al.: Accelerated lipid catabolism and autophagy are cancer survival mechanisms under inhibited glutaminolysis. Cancer Lett. 430, 133-147 (2018)
14.
Kaul, A.* et al.: Molecular fingerprints of iron parameters among a population-based sample. Nutrients 10:1800 (2018)
15.
Köttgen, A.* ; Raffler, J. ; Sekula, P.* & Kastenmüller, G.: Genome-wide association studies of metabolite concentrations (mGWAS): Relevance for nephrology. Semin. Nephrol. 38, 151-174 (2018)
16.
Lacruz, M.E.* et al.: Instability of personal human metabotype is linked to all-cause mortality. Sci. Rep. 8:9810 (2018)
17.
Lange, T.* et al.: Comprehensive metabolic profiling reveals a lipid-rich fingerprint of free thyroxine far beyond classic parameters. J. Clin. Endocrinol. Metab. 103, 2050-2060 (2018)
18.
MahmoudianDehkordi, S.* et al.: Altered bile acid profile associates with cognitive impairment in Alzheimer's disease-An emerging role for gut microbiome. Alzheimers Dement. 15, 76-92 (2018)
19.
Masuch, A.* et al.: Metabolomic profiling implicates adiponectin as mediator of a favorable lipoprotein profile associated with NT-proBNP. Cardiovasc. Diabetol. 17:120 (2018)
20.
Müller-Nurasyid, M. et al.: Pharmacogenetic effects in population-based metabolic profiles. Genet. Epidemiol. 42, 719-720 (2018)