Hertel J, Fässler D, Heinken A, Weiß FU, Rühlemann M, Bang C, Franke A, Budde K, Henning AK, Petersmann A, Völker U, Völzke H, Thiele I, Grabe HJ, Lerch MM, Nauck M, Friedrich N, and Frost F. NMR metabolomics reveal urine markers of microbiome diversity and identify benzoate metabolism as a mediator between high microbial
alpha diversity and metabolic health. Metabolites 2022;12:308.
Cheng Y, Schlosser P, Hertel J, Sekula P, Oefner PJ, Spiekerkoetter U, Mielke J, Freitag DF, Schmidts M, Kronenberg F, Eckardt KU, Thiele I, Li Y, Köttgen A, Oefner PJ, Kronenberg F, and Eckardt KU. Rare genetic variants affecting urine metabolite levels link population variation to inborn errors of metabolism. Nature Communications 2021;12:964.
Heinken A, Basile A, Hertel J, Thinnes C, and Thiele I. Genome-scale metabolic modeling of the human microbiome in the era of personalized medicine. Annual Review of Microbiology 2021;75:199–222.
Hertel J, Heinken A, Martinelli F, and Thiele I. Integration of constraint-based modeling with fecal metabolomics reveals large deleterious effects of Fusobacterium spp. on community butyrate production. Gut Microbes 2021;13:1–23.
Baldini F, Hertel J, Sandt E, Thinnes CC, Neuberger-Castillo L, Pavelka L, Betsou F, Krüger R, Thiele I, Aguayo G, Allen D, Ammerlann W, Aurich M, Balling R, Banda P, Beaumont K, Becker R, Berg D, Binck S, Bisdorff A, et al. Parkinson’s disease-associated alterations of the gut microbiome predict disease-relevant changes in metabolic functions. BMC Biology 2020;18:62.
Thiele I, Sahoo S, Heinken A, Hertel J, Heirendt L, Aurich MK, and Fleming RM. Personalized whole-body models integrate metabolism, physiology, and the gut microbiome. Molecular Systems Biology 2020;16:e8982.
Hertel J, Harms AC, Heinken A, Baldini F, Thinnes CC, Glaab E, Vasco DA, Pietzner M, Stewart ID, Wareham NJ, Langenberg C, Trenkwalder C, Krüger R, Hankemeier T, Fleming RMT, Mollenhauer B, and Thiele I. Integrated analyses of microbiome and longitudinal metabolome data reveal microbial-host interactions on sulfur metabolism in Parkinson’s disease. Cell Reports 2019;29:1767–1777.
Hertel J, Frenzel S, König J, Wittfeld K, Fuellen G, Holtfreter B, Pietzner M, Friedrich N, Nauck M, Völzke H, Kocher T, and Grabe HJ. The informative error: A framework for the construction of individualized phenotypes. Statistical Methods in Medical Research 2019;28:1427–1438.
Hertel J, Rotter M, Frenzel S, Zacharias HU, Krumsiek J, Rathkolb B, Hrabe de Angelis M, Rabstein S, Pallapies D, Brüning T, Grabe HJ, and Wang-Sattler R. Dilution correction for dynamically influenced urinary analyte data. Analytica Chimica Acta 2018;1032:18–31.
Hertel J, Friedrich N, Wittfeld K, Pietzner M, Budde K, Van der Auwera S, Lohmann T, Teumer A, Völzke H, Nauck M, and Grabe HJ. Measuring biological age via metabonomics: The metabolic age score. Journal of Proteome Research 2016;15:400–410.
Institute of Medical Biometry and Statistics,
Faculty of Medicine and Medical Center –
University of Freiburg
