@article{GlosseFegerMutigetal.2018, author = {Glosse, Philipp and Feger, Martina and Mutig, Kerim and Chen, Hong and Hirche, Frank and Hasan, Ahmed Abdallah Abdalrahman Mohamed and Gaballa, Mohamed Mahmoud Salem Ahmed and Hocher, Berthold and Lang, Florian and F{\"o}ller, Michael}, title = {AMP-activated kinase is a regulator of fibroblast growth factor 23 production}, series = {Kidney international : official journal of the International Society of Nephrology}, volume = {94}, journal = {Kidney international : official journal of the International Society of Nephrology}, number = {3}, publisher = {Elsevier}, address = {New York}, issn = {0085-2538}, doi = {10.1016/j.kint.2018.03.006}, pages = {491 -- 501}, year = {2018}, abstract = {Fibroblast growth factor 23 (FGF23) is a proteohormone regulating renal phosphate transport and vitamin D metabolism as well as inducing left heart hypertrophy. FGF23-deficient mice suffer from severe tissue calcification, accelerated aging and a myriad of aging-associated diseases. Bone cells produce FGF23 upon store-operated calcium ion entry (SOCE) through the calcium selective ion channel Orai1. AMP-activated kinase (AMPK) is a powerful energy sensor helping cells survive states of energy deficiency, and AMPK down-regulates Orai1. Here we investigated the role of AMPK in FGF23 production. Fgf23 gene transcription was analyzed by qRT-PCR and SOCE by fluorescence optics in UMR106 osteoblast-like cells while the serum FGF23 concentration and phosphate metabolism were assessed in AMPKa1-knockout and wild-type mice. The AMPK activator, 5-aminoimidazole-4-carboxamide ribonucleotide (AICAR) down-regulated, whereas the AMPK inhibitor, dorsomorphin dihydrochloride (compound C) and AMPK gene silencing induced Fgf23 transcription. AICAR decreased membrane abundance of Orai1 and SOCE. SOCE inhibitors lowered Fgf23 gene expression induced by AMPK inhibition. AMPKa1-knockout mice had a higher serum FGF23 concentration compared to wild-type mice. Thus, AMPK participates in the regulation of FGF23 production in vitro and in vivo. The inhibitory effect of AMPK on FGF23 production is at least in part mediated by Orai1-involving SOCE.}, language = {en} } @article{VolkBrandschSchlegelmilchetal.2020, author = {Volk, Christin and Brandsch, Corinna and Schlegelmilch, Ulf and Wensch-Dorendorf, Monika and Hirche, Frank and Simm, Andreas and Gargum, Osama and Wiacek, Claudia and Braun, Peggy G. and Kopp, Johannes F. and Schwerdtle, Tanja and Treede, Hendrik and Stangl, Gabriele I.}, title = {Postprandial metabolic response to rapeseed protein in healthy subjects}, series = {Nutrients}, volume = {12}, journal = {Nutrients}, number = {8}, publisher = {MDPI}, address = {Basel}, issn = {2072-6643}, doi = {10.3390/nu12082270}, pages = {22}, year = {2020}, abstract = {Plant proteins have become increasingly important for ecological reasons. Rapeseed is a novel source of plant proteins with high biological value, but its metabolic impact in humans is largely unknown. A randomized, controlled intervention study including 20 healthy subjects was conducted in a crossover design. All participants received a test meal without additional protein or with 28 g of rapeseed protein isolate or soy protein isolate (control). Venous blood samples were collected over a 360-min period to analyze metabolites; satiety was assessed using a visual analog scale. Postprandial levels of lipids, urea, and amino acids increased following the intake of both protein isolates. The postprandial insulin response was lower after consumption of the rapeseed protein than after intake of the soy protein (p< 0.05), whereas the postmeal responses of glucose, lipids, interleukin-6, minerals, and urea were comparable between the two protein isolates. Interestingly, the rapeseed protein exerted stronger effects on postprandial satiety than the soy protein (p< 0.05). The postmeal metabolism following rapeseed protein intake is comparable with that of soy protein. The favorable effect of rapeseed protein on postprandial insulin and satiety makes it a valuable plant protein for human nutrition.}, language = {en} } @article{SchutkowskiKoenigKlugeetal.2019, author = {Schutkowski, Alexandra and K{\"o}nig, Bettina and Kluge, Holger and Hirche, Frank and Henze, Andrea and Schwerdtle, Tanja and Lorkowski, Stefan and Dawczynski, Christine and Gabel, Alexander and Grosse, Ivo and Stangl, Gabriele I.}, title = {Metabolic footprint and intestinal microbial changes in response to dietary proteins in a pig model}, series = {The journal of nutritional biochemistry}, volume = {67}, journal = {The journal of nutritional biochemistry}, publisher = {Elsevier}, address = {New York}, issn = {0955-2863}, doi = {10.1016/j.jnutbio.2019.02.004}, pages = {149 -- 160}, year = {2019}, abstract = {Epidemiological studies revealed that dietary proteins can contribute to the modulation of the cardiovascular disease risk. Still, direct effects of dietary proteins on serum metabolites and other health-modulating factors have not been fully explored. Here, we compared the effects of dietary lupin protein with the effects of beef protein and casein on the serum metabolite profile, cardiovascular risk markers and the fecal microbiome. Pigs were fed diets containing 15\% of the respective proteins for 4 weeks. A classification analysis of the serum metabolites revealed six biomarker sets of two metabolites each that discriminated between the intake of lupin protein, lean beef or casein. These biomarker sets included 1- and 3-methylhistidine, betaine, carnitine, homoarginine and methionine. The study revealed differences in the serum levels of the metabolites 1- and 3- methylhistidine, homoarginine, methionine and homocysteine, which are involved in the one-carbon cycle. However, these changes were not associated with differences in the methylation capacity or the histone methylation pattern. With the exception of serum homocysteine and homoarginine levels, other cardiovascular risk markers, such as the homeostatic model assessment index, trimethylamine-N-oxide and lipids, were not influenced by the dietary protein source. However, the composition of the fecal microorganisms was markedly changed by the dietary protein source. Lupin-protein-fed pigs exhibited more species from the phyla Bacteroidetes and Firmicutes than the other two groups. In conclusion, different dietary protein sources induce distinct serum metabolic fingerprints, have an impact on the cardiovascular risk and modulate the composition of the fecal microbiome. (C) 2019 Elsevier Inc. All rights reserved.}, language = {en} }