The detrimental role of hepatic lipotoxicity has been well-implicated in the pathogenesis of NAFLD. Previously, we reported that inhibiting autophagy aggravated saturated fatty acid (SFA)-induced hepatotoxicity. Insulin, a physiological inhibitor of autophagy, is commonly increased within NAFLD mainly caused by insulin resistance. We therefore hypothesized that insulin augments the sensitivity ...

We tested the hypothesis that aging decreases endothelium-dependent vasodilation in feed arteries perfusing rat skeletal muscle. In addition, we tested the hypothesis that attenuated vasodilator responses are associated with decreased endothelial nitric oxide synthase (eNOS) and superoxide dismutase-1 (SOD-1) expression. Soleus feed arteries (SFA) and gastrocnemius feed arteries (GFA) were isol...

The relevance of dietary fatty acids (FA) for blood lipids should be assessed in the context of substituting nutrients. Such evidence is lacking for adolescents. This study describes prospective associations of dietary FA with changes in serum lipids during adolescence, and considers the theoretical isocaloric replacements of saturated FA (SFA) with other FA or carbohydrates (CHO). Children fro...

Diets rich in saturated fat produce inflammation, gliosis, and neuronal stress in the mediobasal hypothalamus (MBH). Here, we show that microglia mediate this process and its functional impact. Although microglia and astrocytes accumulate in the MBH of mice fed a diet rich in saturated fatty acids (SFAs), only the microglia undergo inflammatory activation, along with a buildup of hypothalamic S...

Sažetak Cilj ovog istraživanja bio je analizirati udio masti i sastav masnih kiselina u uzorcima M. biceps femoris istarskog i dalmatinskog pršuta. Analiziran je sadržaj zasićenih (SFA), mononezasićeniih (MUFA) i polinezasićenih (PUFA) masnih kiselina. Udio masti u istarskom pršutu bio je 7,45-21,12%, dok u dalmatinskom 9,49-21,29%. Sastav masnih kiselina istarskog i dalmatinskog pršuta nije se...

This paper develops a kernelized slow feature analysis (SFA) algorithm. SFA is an unsupervised learning method to extract features which encode latent variables from time series. Generative relationships are usually complex, and current algorithms are either not powerful enough or tend to over-fit. We make use of the kernel trick in combination with sparsification to provide a powerful function...

-Slow Feature Analysis (SFA) has been established as a robust and versatile technique from the neurosciences to learn slowly varying functions from quickly changing signals. SFA framework is introduced to the problem of recognizing prisoner’s actions by incorporating the supervised information with the original unsupervised SFA learning. Firstly, large amount of cuboids are collected in the mot...

This thesis develops new extensions to slow feature analysis (SFA) that solve supervised learning problems (e.g., classification and regression) on highdimensional data (e.g., images) in an efficient, accurate, and principled way. This type of problems has been addressed by convolutional neural networks (CNNs) in the last decade with excellent results. However, additional approaches would be va...

BACKGROUND Linseed oil has been investigated as a rich source of n-3 series polyunsaturated fatty acids, which mainly produce a non-atherogenic lipid profile. The objective of this study was to investigate the effect of linseed oil supplementation associated with nutritional guidelines on the lipid profiles of older adults, according to the intake of saturated fatty acids (SFA). METHODS We co...