@article{BordagKlieJuerchottetal.2015,
  author    = {Bordag, Natalie and Klie, Sebastian and J{\"u}rchott, Kathrin and Vierheller, Janine and Schiewe, Hajo and Albrecht, Valerie and Tonn, J{\"o}rg-Christian and Schwartz, Christoph and Schichor, Christian and Selbig, Joachim},
  title     = {Glucocorticoid (dexamethasone)-induced metabolome changes in healthy males suggest prediction of response and side effects},
  series = {Scientific reports},
  volume    = {5},
  journal   = {Scientific reports},
  publisher = {Nature Publ. Group},
  address   = {London},
  issn      = {2045-2322},
  doi       = {10.1038/srep15954},
  pages     = {12},
  year      = {2015},
  abstract  = {Glucocorticoids are indispensable anti-inflammatory and decongestant drugs with high prevalence of use at (similar to)0.9\% of the adult population. Better holistic insights into glucocorticoid-induced changes are crucial for effective use as concurrent medication and management of adverse effects. The profiles of 214 metabolites from plasma of 20 male healthy volunteers were recorded prior to and after ingestion of a single dose of 4 mg dexamethasone (+20 mg pantoprazole). Samples were drawn at three predefined time points per day: seven untreated (day 1 midday - day 3 midday) and four treated (day 3 evening - day 4 evening) per volunteer. Statistical analysis revealed tremendous impact of dexamethasone on the metabolome with 150 of 214 metabolites being significantly deregulated on at least one time point after treatment (ANOVA, Benjamini-Hochberg corrected, q < 0.05). Inter-person variability was high and remained uninfluenced by treatment. The clearly visible circadian rhythm prior to treatment was almost completely suppressed and deregulated by dexamethasone. The results draw a holistic picture of the severe metabolic deregulation induced by single-dose, short-term glucocorticoid application. The observed metabolic changes suggest a potential for early detection of severe side effects, raising hope for personalized early countermeasures increasing quality of life and reducing health care costs.},
  language  = {en}
}
@misc{OmranianKleessenTohgeetal.2015,
  author    = {Omranian, Nooshin and Kleessen, Sabrina and Tohge, Takayuki and Klie, Sebastian and Basler, Georg and M{\"u}ller-R{\"o}ber, Bernd and Fernie, Alisdair R. and Nikoloski, Zoran},
  title     = {Differential metabolic and coexpression networks of plant metabolism},
  series = {Trends in plant science},
  volume    = {20},
  journal   = {Trends in plant science},
  number    = {5},
  publisher = {Elsevier},
  address   = {London},
  issn      = {1360-1385},
  doi       = {10.1016/j.tplants.2015.02.002},
  pages     = {266 -- 268},
  year      = {2015},
  abstract  = {Recent analyses have demonstrated that plant metabolic networks do not differ in their structural properties and that genes involved in basic metabolic processes show smaller coexpression than genes involved in specialized metabolism. By contrast, our analysis reveals differences in the structure of plant metabolic networks and patterns of coexpression for genes in (non)specialized metabolism. Here we caution that conclusions concerning the organization of plant metabolism based on network-driven analyses strongly depend on the computational approaches used.},
  language  = {en}
}