Differential effects of extracellular matrix and mechanical strain on airway smooth muscle cells from ovalbumin- vs. saline-challenged Brown Norway rats

The asthmatic airway is characterized by alterations in decorin and biglycan and increased airway smooth muscle (ASM). Further, the asthmatic airway may be subjected to abnormal mechanical strain. We hypothesized that ASM cells obtained from ovalbumin (OVA)--and saline (SAL)--challenged rats would respond differently to matrix and mechanical strain. ASMC were seeded on plastic, decorin or biglycan. Additional cells were grown on decorin, biglycan or collagen type 1, and then subjected to mechanical strain (Flexercell). The number of OVA ASMC was significantly greater than SAL ASM when seeded on plastic. A significant decrease was observed for both OVA and SAL ASMC seeded on decorin compared to plastic; the reduction in ASMC number was more modest for OVA. Biglycan decreased SAL ASMC number only. Strain reduced cell number for SAL and OVA ASMC grown on all matrices. Strain affected expression of β1-integrin differently in OVA vs. SAL ASMC. These data suggest that matrix and mechanical strain modulate ASMC number; these effects are differentially observed in OVA ASMC.

Relationship between insulin sensitivity and the triglyceride–HDL-C ratio in overweight and obese postmenopausal women: a MONET study

The objective of this cross-sectional study was to examine the relationship between the triglyceride–HDL-cholesterol ratio (TG:HDL-C) and insulin sensitivity in overweight and obese sedentary postmenopausal women. The study population consisted of 131 non-diabetic overweight and obese sedentary postmenopausal women (age; 57.7 ± 5.0 y; body mass index (BMI), 32.2 ± 4.3 kg/m2). Subjects were characterized by dividing the entire cohort into tertiles based on the TG:HDL-C (T1 < 0.86 vs. T2= 0.86 to 1.35 vs. T3 > 1.35, respectively). We measured (i) insulin sensitivity (using the hyperinsulinenic–euglycemic clamp and homeostasis model assessment (HOMA)), (ii) body composition (using dual-energy X-ray absorptiometry), (iii) visceral fat (using computed tomography), (iv) plasma lipids, C-reactive protein, 2 h glucose concentration during an oral glucose tolerance test (2 h glucose), as well as fasting glucose and insulin, (v) peak oxygen consumption, and (vi) lower-body muscle strength (using weight training equipment). Significant correlations were observed between the TG:HDL-C and the hyperinsulinemic–euglycemic clamp (r = –0.45; p < 0.0001), as well as with HOMA (r = 0.42; p < 0.0001). Moreover, the TG:HDL-C significantly correlated with lean body mass, visceral fat, 2 h glucose, C-reactive protein, and muscle strength. Stepwise regression analysis showed that the TG:HDL-C explained 16.4% of the variation in glucose disposal in our cohort, which accounted for the greatest source of unique variance. Other independent predictors of glucose disposal were 2 h glucose (10.1%), C-reactive protein (CRP; 7.6%), and peak oxygen consumption (5.8%), collectively (including the TG:HDL-C) explaining 39.9% of the unique variance. In addition, the TG:HDL-C was the second predictor for HOMA, accounting for 11.7% of the variation. High levels of insulin sensitivity were associated with low levels of the TG:HDL-C. In addition, the TG:HDL-C was a predictor for glucose disposal rates and HOMA values in our cohort of overweight and obese postmenopausal women.