Natural and Artificial Sweeteners and High Fat Diet Modify Differential Taste Receptors, Insulin, and TLR4-Mediated Inflammatory Pathways in Adipose Tissues of Rats.
Mónica Sánchez-TapiaJonathan Martínez-MedinaArmando R TovarNimbe TorresPublished in: Nutrients (2019)
It is difficult to know if the cause for obesity is the type of sweetener, high fat (HF) content, or the combination of sweetener and fat. The purpose of the present work was to study different types of sweeteners; in particular, steviol glycosides (SG), glucose, fructose, sucrose, brown sugar, honey, SG + sucrose (SV), and sucralose on the functionality of the adipocyte. Male Wistar rats were fed for four months with different sweeteners or sweetener with HF added. Taste receptors T1R2 and T1R3 were differentially expressed in the tongue and intestine by sweeteners and HF. The combination of fat and sweetener showed an additive effect on circulating levels of GIP and GLP-1 except for honey, SG, and brown sugar. In adipose tissue, sucrose and sucralose stimulated TLR4, and c-Jun N-terminal (JNK). The combination of HF with sweeteners increased NFκB, with the exception of SG and honey. Honey kept the insulin signaling pathway active and the smallest adipocytes in white (WAT) and brown (BAT) adipose tissue and the highest expression of adiponectin, PPARγ, and UCP-1 in BAT. The addition of HF reduced mitochondrial branched-chain amino transferase (BCAT2) branched-chain keto acid dehydrogenase E1 (BCKDH) and increased branched chain amino acids (BCAA) levels by sucrose and sucralose. Our data suggests that the consumption of particular honey maintained functional adipocytes despite the consumption of a HF diet.
Keyphrases
- adipose tissue
- insulin resistance
- high fat diet
- signaling pathway
- type diabetes
- acute heart failure
- high fat diet induced
- oxidative stress
- glycemic control
- inflammatory response
- toll like receptor
- metabolic syndrome
- pi k akt
- amino acid
- immune response
- weight loss
- induced apoptosis
- cell death
- nuclear factor
- gene expression
- heart failure
- skeletal muscle
- machine learning
- epithelial mesenchymal transition
- physical activity
- lps induced
- long non coding rna
- data analysis
- electronic health record