@article{JannaschKroegerAgnolietal.2019, author = {Jannasch, Franziska and Kr{\"o}ger, Janine and Agnoli, Claudia and Barricarte, Aurelio and Boeing, Heiner and Cayssials, Val{\´e}rie and Colorado-Yohar, Sandra and Dahm, Christina C. and Dow, Courtney and Fagherazzi, Guy and Franks, Paul W. and Freisling, Heinz and Gunter, Marc J. and Kerrison, Nicola D. and Key, Timothy J. and Khaw, Kay-Tee and K{\"u}hn, Tilman and Kyro, Cecilie and Mancini, Francesca Romana and Mokoroa, Olatz and Nilsson, Peter and Overvad, Kim and Palli, Domenico and Panico, Salvatore and Quiros Garcia, Jose Ramon and Rolandsson, Olov and Sacerdote, Carlotta and Sanchez, Maria-Jose and Sahrai, Mohammad Sediq and Sch{\"u}bel, Ruth and Sluijs, Ivonne and Spijkerman, Annemieke M. W. and Tjonneland, Anne and Tong, Tammy Y. N. and Tumino, Rosario and Riboli, Elio and Langenberg, Claudia and Sharp, Stephen J. and Forouhi, Nita G. and Schulze, Matthias Bernd and Wareham, Nicholas J.}, title = {Generalizability of a Diabetes-Associated Country-Specific Exploratory Dietary Pattern Is Feasible Across European Populations}, series = {The Journal of Nutrition}, volume = {149}, journal = {The Journal of Nutrition}, number = {6}, publisher = {Oxford Univ. Press}, address = {Oxford}, issn = {0022-3166}, doi = {10.1093/jn/nxz031}, pages = {1047 -- 1055}, year = {2019}, abstract = {Background: Population-specificity of exploratory dietary patterns limits their generalizability in investigations with type 2 diabetes incidence. Objective: The aim of this study was to derive country-specific exploratory dietary patterns, investigate their association with type 2 diabetes incidence, and replicate diabetes-associated dietary patterns in other countries. Methods: Dietary intake data were used, assessed by country-specific questionnaires at baseline of 11,183 incident diabetes cases and 14,694 subcohort members (mean age 52.9 y) from 8 countries, nested within the European Prospective Investigation into Cancer and Nutrition study (mean follow-up time 6.9 y). Exploratory dietary patterns were derived by principal component analysis. HRs for incident type 2 diabetes were calculated by Prentice-weighted Cox proportional hazard regression models. Diabetes-associated dietary patterns were simplified or replicated to be applicable in other countries. A meta-analysis across all countries evaluated the generalizability of the diabetes-association. Results: Two dietary patterns per country/UK-center, of which overall 3 dietary patterns were diabetes-associated, were identified. A risk-lowering French dietary pattern was not confirmed across other countries: pooled HRFrance per 1 SD: 1.00; 95\% CI: 0.90, 1.10. Risk-increasing dietary patterns, derived in Spain and UK-Norfolk, were confirmed, but only the latter statistically significantly: HRSpain: 1.09; 95\% CI: 0.97, 1.22 and HRUK-Norfolk: 1.12; 95\% CI: 1.04, 1.20. Respectively, this dietary pattern was characterized by relatively high intakes of potatoes, processed meat, vegetable oils, sugar, cake and cookies, and tea. Conclusions: Only few country/center-specific dietary patterns (3 of 18) were statistically significantly associated with diabetes incidence in this multicountry European study population. One pattern, whose association with diabetes was confirmed across other countries, showed overlaps in the food groups potatoes and processed meat with identified diabetes-associated dietary patterns from other studies. The study demonstrates that replication of associations of exploratory patterns with health outcomes is feasible and a necessary step to overcome population-specificity in associations from such analyses.}, language = {en} } @article{JaptokSchmitzFayyazetal.2015, author = {Japtok, Lukasz and Schmitz, Elisabeth I. and Fayyaz, Susann and Kr{\"a}mer, Stephanie and Hsu, Leigh J. and Kleuser, Burkhard}, title = {Sphingosine 1-phosphate counteracts insulin signaling in pancreatic beta-cells via the sphingosine 1-phosphate receptor subtype 2}, series = {The FASEB journal : the official journal of the Federation of American Societies for Experimental Biology}, volume = {29}, journal = {The FASEB journal : the official journal of the Federation of American Societies for Experimental Biology}, number = {8}, publisher = {Federation of American Societies for Experimental Biology}, address = {Bethesda}, issn = {0892-6638}, doi = {10.1096/fj.14-263194}, pages = {3357 -- 3369}, year = {2015}, abstract = {Glucolipotoxic stress has been identified as a key player in the progression of pancreatic beta-cell dysfunction contributing to insulin resistance and the development of type 2 diabetes mellitus (T2D). It has been suggested that bioactive lipid intermediates, formed under lipotoxic conditions, are involved in these processes. Here, we show that sphingosine 1-phosphate (S1P) levels are not only increased in palmitate-stimulated pancreatic beta-cells but also regulate beta-cell homeostasis in a divergent manner. Although S1P possesses a prosurvival effect in beta-cells, an enhanced level of the sphingolipid antagonizes insulin-mediated cell growth and survival via the sphingosine 1-phosphate receptor subtype 2 (S1P(2)) followed by an inhibition of Akt-signaling. In an attempt to investigate the role of the S1P/S1P(2) axis in vivo, the New Zealand obese (NZO) diabetic mouse model, characterized by beta-cell loss under high-fat diet (HFD) conditions, was used. The occurrence of T2D was accompanied by an increase of plasma S1P levels. To examine whether S1P contributes to the morphologic changes of islets via S1P(2), the receptor antagonist JTE-013 was administered. Most interestingly, JTE-013 rescued beta-cell damage clearly indicating an important role of the S1P(2) in beta-cell homeostasis. Therefore, the present study provides a new therapeutic strategy to diminish beta-cell dysfunction and the development of T2D.}, language = {en} } @article{ThawnashomTungtrongchitrChanchayetal.2011, author = {Thawnashom, Kittisak and Tungtrongchitr, Rungsunn and Chanchay, Siriporn and Tungtrongchitr, Anchalee and Raila, Jens and Henze, Andrea and Schweigert, Florian J.}, title = {Association between Retinol-Binding protein and renal function among Asian subjects with type 2 diabetes mellitus a cross-sectiona{\"o} study}, series = {The Southeast Asian journal of tropical medicine and public health : official publication of the SEAMEO Regional Tropical Medicine and Public Health Project (TROPMED)}, volume = {42}, journal = {The Southeast Asian journal of tropical medicine and public health : official publication of the SEAMEO Regional Tropical Medicine and Public Health Project (TROPMED)}, number = {4}, publisher = {SEAMEO}, address = {Bangkok}, issn = {0125-1562}, pages = {936 -- 945}, year = {2011}, abstract = {Retinol-binding protein 4 (RBP4) has been suggested as new adipokine, possibly linking obesity to type 2 diabetes mellitus (T2DM). Since the kidneys are the main site of RBP4 degradation and since renal failure is a frequent co-morbid condition with diabetes mellitus, we evaluated the association among RBP4, renal function and T2DM in an Asian population. RBP4 serum levels were analyzed in 110 subjects (50 with T2DM) using an enzyme-linked immunosorbent assay (ELISA). Based on a cut-off estimated glomerular filtration rate (eGFR) of 60 ml/min per 1.73 m(2) (calculated according the abbreviated MDRD formula which uses serum creatinine level, age and gender) and on the T2DM status, subjects were assigned to four subgroups: Group A - controls with an eGFR > 60 ml/min per 1.73 m(2), Group B - controls with an eGFR < 60 ml/min per 1.73 m(2), Group C- T2DM subjects with an eGFR>60 ml/min per 1.73 m(2), and Group D - T2DM subjects with an eGFR <60 ml/ mm per 1.73 m(2). In both the T2DM and control groups, RBP4 levels were higher in subjects with an eGFR < 60 ml/min per 1.73 m(2) than in subjects with an eGFR >60 ml/min per 1.73 m(2). However, the difference was only significant between the control groups (p <0.05). After adjusting for age, gender, BMI, eGFR and the presence of T2DM, eGFR, not T2DM, was associated with plasma RBP4 levels (p<0.05). These results suggest among Asians the eGFR, but not the presence of T2DM, is a major determinant of RBP4 serum levels. The eGFR should be taken into account when evaluating the role of RBP4 in the pathogenesis of insulin resistance and T2DM.}, language = {en} } @article{MoehligFloeterSprangeretal.2006, author = {Moehlig, M. and Floeter, A. and Spranger, Joachim and Weickert, Martin O. and Schill, T. and Schloesser, H. W. and Brabant, G. and Pfeiffer, Andreas F. H. and Selbig, Joachim and Schoefl, C.}, title = {Predicting impaired glucose metabolism in women with polycystic ovary syndrome by decision tree modelling}, series = {Diabetologia : journal of the European Association for the Study of Diabetes (EASD)}, volume = {49}, journal = {Diabetologia : journal of the European Association for the Study of Diabetes (EASD)}, publisher = {Springer}, address = {Berlin}, issn = {0012-186X}, doi = {10.1007/s00125-006-0395-0}, pages = {2572 -- 2579}, year = {2006}, abstract = {Aims/hypothesis Polycystic ovary syndrome (PCOS) is a risk factor of type 2 diabetes. Screening for impaired glucose metabolism (IGM) with an OGTT has been recommended, but this is relatively time-consuming and inconvenient. Thus, a strategy that could minimise the need for an OGTT would be beneficial. Materials and methods Consecutive PCOS patients (n=118) with fasting glucose < 6.1 mmol/l were included in the study. Parameters derived from medical history, clinical examination and fasting blood samples were assessed by decision tree modelling for their ability to discriminate women with IGM (2-h OGTT value >= 7.8 mmol/l) from those with NGT. Results According to the OGTT results, 93 PCOS women had NGT and 25 had IGM. The best decision tree consisted of HOMA-IR, the proinsulin:insulin ratio, proinsulin, 17-OH progesterone and the ratio of luteinising hormone:follicle-stimulating hormone. This tree identified 69 women with NGT. The remaining 49 women included all women with IGM (100\% sensitivity, 74\% specificity to detect IGM). Pruning this tree to three levels still identified 53 women with NGT (100\% sensitivity, 57\% specificity to detect IGM). Restricting the data matrix used for tree modelling to medical history and clinical parameters produced a tree using BMI, waist circumference and WHR. Pruning this tree to two levels separated 27 women with NGT (100\% sensitivity, 29\% specificity to detect IGM). The validity of both trees was tested by a leave-10\%-out cross-validation. Conclusions/interpretation Decision trees are useful tools for separating PCOS women with NGT from those with IGM. They can be used for stratifying the metabolic screening of PCOS women, whereby the number of OGTTs can be markedly reduced.}, language = {en} }