TY  - JOUR
A1  - Garcia, A. L.
A1  - Steiniger, J.
A1  - Reich, S. C.
A1  - Weickert, M. O.
A1  - Harsch, I.
A1  - Machowetz, A.
A1  - Mohlig, M.
A1  - Spranger, Joachim
A1  - Rudovich, N. N.
A1  - Meuser, F.
A1  - Doerfer, J.
A1  - Katz, N.
A1  - Speth, M.
A1  - Zunft, Hans-Joachim Franz
A1  - Pfeiffer, Andreas F. H.
A1  - Koebnick, Corinna
T1  - Arabinoxylan fibre consumption improved glucose metabolism, but did not affect serum adipokines in subjects with impaired glucose tolerance
JF  - Hormone and metabolic research
N2  - The consumption of arabinoxylan, a soluble fibre fraction, has been shown to improve glycemic control in type 2 diabetic subjects. Soluble dietary fibre may modulate gastrointestinal or adipose tissue hormones regulating food intake. The present study investigated the effects of arabinoxylan consumption on serum glucose, insulin, lipids, leptin, adiponectin and resistin in subjects with impaired glucose tolerance. In a randomized, single-blind, controlled, crossover intervention trial, 11 adults consumed white bread rolls as either placebo or supplemented with 15g arabinoxylan for 6 weeks with a 6-week washout period. Fasting serum glucose, insulin, triglycerides, unesterified fatty acids, apolipoprotein A1 and B, adiponectin, resistin and leptin were assessed before and after intervention. Fasting serum glucose, serum triglycerides and apolipoprotein A-1 were significantly lower during arabinoxylan consumption compared to placebo (p = 0.029, p = 0.047; p = 0.029, respectively). No effects of arabinoxylan were observed for insulin, adiponectin, leptin and resistin as well as for apolipoprotein B, and unesterified fatty acids. In conclusion, the consumption of AX in subjects with impaired glucose tolerance improved fasting serum glucose, and triglycerides. However, this beneficial effect was not accompanied by changes in fasting adipokine concentrations.
KW  - dietary fibre
KW  - arabinoxylan
KW  - adiponectin
KW  - resistin
KW  - leptin
Y1  - 2006
U6  - https://doi.org/10.1055/s-2006-955089
SN  - 0018-5043
VL  - 38
IS  - 2
SP  - 761
EP  - 766
PB  - Thieme
CY  - Stuttgart
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  -