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1.
J Psychiatr Res ; 97: 89-93, 2018 02.
Article in English | MEDLINE | ID: mdl-29223020

ABSTRACT

Women with gestational diabetes (GDM) are a high risk group for early type 2 diabetes (T2D). Depression is a risk factor for T2D in the general population. We investigated in women after a recent pregnancy with GDM and without a clinical diagnosis of depression, whether mild to moderate depressive symptoms associate with pathologic glucose metabolism. In a cross-sectional analysis, we examined 173 women, 9 ± 3 months after delivery with several psychopathological assessments, 5-point oral glucose tolerance test with insulin, anthropometrics, and laboratory chemistry. In a subgroup of 101 women, abdominal visceral fat was quantified by magnetic resonance imaging (MRI). A total of 22 women (13%) showed mild to moderate depressive symptoms, and the proportion of women with pathologic glucose metabolism (impaired fasting glucose, impaired glucose tolerance, or T2D) was higher in this group than in the women without depressive symptoms (59.1% vs. 33.1%, p = 0.018). Women with depressive symptoms also had higher body mass index (BMI), systolic blood pressure, plasma leptin, plasma resistin, and abdominal visceral fat volume. Pathologic glucose metabolism (OR = 2.594, 95% CI: 1.021-6.592), systolic blood pressure (OR = 1.076, 95% CI: 1.027-1.128), and abdominal visceral fat volume (OR = 2.491, 95% CI: 1.142-5.433) remained, even after adjustment for BMI, associated with the presence of depressive symptoms. Taken together, we found depressive symptoms at a level not generally diagnosed in clinical practice in a subgroup of women with recent GDM. This subgroup also showed an unfavorable metabolic profile. Mild to moderate depressive symptoms may therefore help to identify this special subgroup.


Subject(s)
Blood Pressure/physiology , Depression/metabolism , Depression/physiopathology , Diabetes, Gestational/metabolism , Glucose Intolerance/metabolism , Intra-Abdominal Fat/metabolism , Adult , Biomarkers/metabolism , Cross-Sectional Studies , Depression/blood , Female , Glucose Intolerance/blood , Glucose Tolerance Test , Humans , Leptin/blood , Pregnancy , Resistin/blood
2.
Crit Rev Clin Lab Sci ; 55(1): 21-32, 2018 01.
Article in English | MEDLINE | ID: mdl-29239245

ABSTRACT

Presently, routine screening misses many cases of prediabetes and early type 2 diabetes (T2D). Therefore, better biomarkers are needed for a simple and early detection of abnormalities of glucose metabolism and prediction of future T2D. Possible candidates for this include plasma or serum amino acids because glucose and amino acid metabolism are closely connected. This review presents the available evidence of this connectivity and discusses its clinical implications. First, we examine the underlying physiological, pre-analytical, and analytical issues. Then, we summarize results of human studies that evaluate amino acid levels as markers for insulin resistance, prediabetes, and future incident T2D. Finally, we illustrate the interconnection of amino acid levels and metabolic syndrome with our own data from a deeply phenotyped human cohort. We also discuss how amino acids may contribute to the pathophysiology of T2D. We conclude that elevated branched-chain amino acids and reduced glycine are currently the most robust and consistent amino acid markers for prediabetes, insulin resistance, and future T2D. Yet, we are cautious regarding the clinical potential even of these parameters because their discriminatory power is insufficient and their levels depend not only on glycemia, but also on other components of the metabolic syndrome. The identification of more precise intermediates of amino acid metabolism or combinations with other biomarkers will, therefore, be necessary to obtain in order to develop laboratory tests that can improve T2D screening.


Subject(s)
Amino Acids , Diabetes Mellitus, Type 2 , Insulin Resistance/physiology , Metabolome/physiology , Prediabetic State , Amino Acids/blood , Amino Acids/metabolism , Animals , Biomarkers/blood , Diabetes Mellitus, Type 2/blood , Diabetes Mellitus, Type 2/diagnosis , Diabetes Mellitus, Type 2/metabolism , Humans , Metabolomics , Prediabetic State/blood , Prediabetic State/diagnosis , Prediabetic State/metabolism
3.
PLoS One ; 12(6): e0179128, 2017.
Article in English | MEDLINE | ID: mdl-28609470

ABSTRACT

AIMS/HYPOTHESIS: Low physical fitness (PF) is a risk factor for type 2 diabetes mellitus (T2D). Women with a history of gestational diabetes (GDM) are at risk for T2D at a young age, but the role of PF in this population is not clear. PF has also been found to correlate inversely with plasma leptin in previous studies. Here, we examine whether women who had GDM have lower PF than women after a normoglycemic pregnancy and, second, whether PF is associated with plasma leptin, independently of body fat mass. METHODS: Cross-sectional analysis of 236 participants in the PPSDiab Study (cohort study of women 3-16 months after delivery, 152 after gestational diabetes (pGDM), 84 after normoglycemic pregnancy (control subjects); consecutively recruited 2011-16); medical history, physical examination with bioelectrical impedance analysis (BIA), whole body magnetic resonance imaging (MRI) (n = 154), 5-point oral glucose tolerance test, cardiopulmonary exercise testing, clinical chemistry including fasting plasma leptin; statistical analysis with Mann-Whitney U and t -test, Spearman correlation coefficient, multiple linear regression. RESULTS: Women pGDM had lower maximally achieved oxygen uptake (VO2peak/kg: 25.7(21.3-29.9) vs. 30.0(26.6-34.1)ml/min/kg; total VO2peak: 1733(1552-2005) vs. 1970(1767-2238)ml/min; p<0.0001 for both), and maximum workload (122.5(105.5-136.5) vs. 141.0(128.5-159.5)W; p<0.0001). Fasting plasma leptin correlated inversely with PF (VO2peak/kg ρ = -0.72 p<0.0001; VO2peak ρ = -0.16 p = 0.015; max. load ρ = -0.35 p<0.0001). These associations remained significant with adjustment for body mass index, or for body fat mass (BIA and MRI). CONCLUSIONS/INTERPRETATION: Women with a recent history of GDM were less fit than control subjects. Low PF may therefore contribute to the risk for T2D after GDM. This should be tested in intervention studies. Low PF also associated with increased leptin levels-independently of body fat. PF may therefore influence leptin levels and signaling. This hypothesis requires further investigation.


Subject(s)
Diabetes, Gestational/blood , Diabetes, Gestational/physiopathology , Leptin/blood , Physical Fitness/physiology , Adult , Blood Glucose/metabolism , Body Mass Index , Cross-Sectional Studies , Diabetes Mellitus, Type 2/blood , Female , Glucose Tolerance Test , Humans , Linear Models , Oxygen Consumption , Pregnancy , Prospective Studies , Risk Factors
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