TY - GEN A1 - Kessler, Katharina A1 - Hornemann, Silke A1 - Rudovich, Natalia A1 - Weber, Daniela A1 - Grune, Tilman A1 - Kramer, Achim A1 - Pfeiffer, Andreas F. H. A1 - Pivovarova-Ramich, Olga T1 - Saliva samples as a tool to study the effect of meal timing on metabolic and inflammatory biomarkers T2 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - Meal timing affects metabolic regulation in humans. Most studies use blood samples fortheir investigations. Saliva, although easily available and non-invasive, seems to be rarely used forchrononutritional studies. In this pilot study, we tested if saliva samples could be used to studythe effect of timing of carbohydrate and fat intake on metabolic rhythms. In this cross-over trial, 29 nonobese men were randomized to two isocaloric 4-week diets: (1) carbohydrate-rich meals until13:30 and high-fat meals between 16:30 and 22:00 or (2) the inverse order of meals. Stimulated salivasamples were collected every 4 h for 24 h at the end of each intervention, and levels of hormones andinflammatory biomarkers were assessed in saliva and blood. Cortisol, melatonin, resistin, adiponectin, interleukin-6 and MCP-1 demonstrated distinct diurnal variations, mirroring daytime reports inblood and showing significant correlations with blood levels. The rhythm patterns were similar forboth diets, indicating that timing of carbohydrate and fat intake has a minimal effect on metabolicand inflammatory biomarkers in saliva. Our study revealed that saliva is a promising tool for thenon-invasive assessment of metabolic rhythms in chrononutritional studies, but standardisation of sample collection is needed in out-of-lab studies. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 1425 KW - meal timing KW - saliva KW - circadian clock KW - adiponectin KW - resistin KW - visfatin KW - insulin KW - melatonin KW - cortisol KW - cytokines Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-512079 SN - 1866-8372 IS - 2 ER - TY - JOUR A1 - Kessler, Katharina A1 - Hornemann, Silke A1 - Rudovich, Natalia A1 - Weber, Daniela A1 - Grune, Tilman A1 - Kramer, Achim A1 - Pfeiffer, Andreas F. H. A1 - Pivovarova-Ramich, Olga T1 - Saliva samples as a tool to study the effect of meal timing on metabolic and inflammatory biomarkers JF - Nutrients N2 - Meal timing affects metabolic regulation in humans. Most studies use blood samples fortheir investigations. Saliva, although easily available and non-invasive, seems to be rarely used forchrononutritional studies. In this pilot study, we tested if saliva samples could be used to studythe effect of timing of carbohydrate and fat intake on metabolic rhythms. In this cross-over trial, 29 nonobese men were randomized to two isocaloric 4-week diets: (1) carbohydrate-rich meals until13:30 and high-fat meals between 16:30 and 22:00 or (2) the inverse order of meals. Stimulated salivasamples were collected every 4 h for 24 h at the end of each intervention, and levels of hormones andinflammatory biomarkers were assessed in saliva and blood. Cortisol, melatonin, resistin, adiponectin, interleukin-6 and MCP-1 demonstrated distinct diurnal variations, mirroring daytime reports inblood and showing significant correlations with blood levels. The rhythm patterns were similar forboth diets, indicating that timing of carbohydrate and fat intake has a minimal effect on metabolicand inflammatory biomarkers in saliva. Our study revealed that saliva is a promising tool for thenon-invasive assessment of metabolic rhythms in chrononutritional studies, but standardisation of sample collection is needed in out-of-lab studies. KW - meal timing KW - saliva KW - circadian clock KW - adiponectin KW - resistin KW - visfatin KW - insulin KW - melatonin KW - cortisol KW - cytokines Y1 - 2020 U6 - https://doi.org/10.3390/nu12020340 SN - 2072-6643 IS - 2 SP - 1 EP - 12 PB - MDPI CY - Basel ER - TY - JOUR A1 - Moehlig, M. A1 - Floeter, A. A1 - Spranger, Joachim A1 - Weickert, Martin O. A1 - Schill, T. A1 - Schloesser, H. W. A1 - Brabant, G. A1 - Pfeiffer, Andreas F. H. A1 - Selbig, Joachim A1 - Schoefl, C. T1 - Predicting impaired glucose metabolism in women with polycystic ovary syndrome by decision tree modelling JF - Diabetologia : journal of the European Association for the Study of Diabetes (EASD) N2 - 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. KW - decision tree KW - HOMA KW - impaired glucose tolerance KW - insulin KW - insulin resistance KW - polycystic ovary syndrome KW - proinsulin KW - type 2 diabetes mellitus Y1 - 2006 U6 - https://doi.org/10.1007/s00125-006-0395-0 SN - 0012-186X VL - 49 SP - 2572 EP - 2579 PB - Springer CY - Berlin ER -