Relationship between abnormal maternal inflammation and insulin resistance during pregnancy

Abnormal maternal inflammation during pregnancy is linked to complications such as preeclampsia and fetal growth restriction. There is growing evidence that insulin resistance is also associated with a heightened inflammatory state, and is linked to pregnancy complications such as gestational diabetes. This study tested the hypothesis that abnormal inflammation during pregnancy is causally linked to elevations in blood glucose and insulin resistance. To induce a state of abnormal systemic inflammation, bacterial lipopolysaccharide (LPS) was administered to pregnant rats on gestational days (GD) 13.5-16.5. Dams treated with LPS exhibited an abnormal immune response characterized by an elevation in white blood cells, which was linked to reduced fetal weight and increased glucose levels over pregnancy. Abnormal inflammation is characterized by increased levels of circulating pro-inflammatory cytokines such as tumour necrosis factor alpha (TNF) and interleukin-6, which contribute to insulin resistance by inhibiting the insulin signalling pathway. TNF in particular induces a serine phosphorylation (pSer307) of insulin receptor substrate 1 (IRS-1). In our model, insulin resistance was assessed by measuring the extent of pSer307 of IRS-1 and total IRS-1 expression in skeletal muscle, as well as changes in metabolic parameters and pancreas tissue morphology associated with insulin resistance. LPS-treated dams exhibited a significant reduction in IRS-1 expression, elevation in fasting glucose levels, and reduction in insulin sensitivity indices. There were also biologically relevant increases in fasting plasma insulin levels and insulin resistance indices, but not pSer307 of IRS-1 and pancreatic islet size. To determine whether inflammation plays a role in reducing insulin signalling and the other changes associated with LPS administration, etanercept, a TNF antagonist, was administered on GDs 13.5 and 15.5 prior to LPS injections. With the exception of IRS-1 expression, in rats treated with etanercept all of the measured parameters remained at the levels observed in saline controls, indicating a link between abnormal inflammation and insulin resistance. The results of this study support the practice of monitoring the inflammatory conditions of the mother prior to and during pregnancy, and support further investigation into the potential use of anti-inflammatory agents during pregnancy in women at risk of insulin resistance and gestational diabetes.

The relationship between changes in cardiovascular function and changes in VO2peak following SIT

Background: It is well known that sprint interval training (SIT), induces significant increases in peak oxygen uptake (VO2peak) at the group level. However, there have been only a few studies that have addressed the variability of VO2peak response following SIT, and precise mechanism(s) that may explain individual magnitude of response are unknown. Purpose: Therefore, the purpose of this thesis was to: 1) examine the inter-individual variability of the VO2peak response following SIT, 2) to inspect the relationship between changes in both central and peripheral measures and changes in VO2peak, and 3) to assess if peripheral or central adaptations play a role in whether an individual is a high or low responder with respect to VO2peak. Subjects: Twenty-two young, recreationally active males (age: 20.4 1.7 years; weight: 78.4 10.2 kg; VO2peak: 3.7 0.62 L/min) Methods: VO2peak (L/min), peak cardiac output (Qpeak [L/min]), and peak deoxygenated hemoglobin (HHbpeak [mM]) were measured before and after 16 sessions of SIT (Tabata Protocol) over four weeks. Peak a-vO2diff was calculated using a derivation of the Fick equation. Results: Due to a systematic error, HHbpeak could not be used to differentiate between individual responses. There was a large range of VO2peak response from pre to post testing (-4.75 to 32.18% change) and there was a significant difference between the Low Response Group (LRG) (n=8) and the High Response Group (HRG) (n=8) [f(1, 14)= 64.27, p<0.001]. Furthermore, there was no correlation between delta () VO2peak and Qpeak (r=-0.18, p=0.46) for all participants, nor was there an interaction effect between the Low and High Response Groups [f(1,11)=0.572, p=0.47]. Lastly, there was a significant correlation between VO2peak and peak a-vO2diff [r=0.692, p<0.001], and a significant interaction effect with peak a-vO2diff [f(1, 14)= 13.27, p<0.004] when comparing the HRG to the LRG. Conclusions: There was inter-individual variability of VO2peak response following 4 weeks of SIT, but central adaptations did not influence this variation. This suggests that peripheral adaptations may be responsible for VO2peak adaptation.