Laboratory animals, mainly mice and rats, were employed in MS projects, either transgenic or diet- or drinking water-induced and because the syndrome in the human and most animals usually develop from dietary source, therefore MS was induced in mice and rats by high fructose diet
(Wong et al., 2016) or high fructose drinking water (
Al-Agele and Khudiar, 2016). Biochemical parameters fluctuations associated with MS induced in rats by fructose in drinking water have not been thoroughly investigated. Therefore, it is believed that more investigations are required in this area.
In this project, MS was established in adult male normal Sprague-Dawley rats (without genetic modification) through 40% (but not 20%) fructose in drinking water. MS was confirmed by observed obesity, hyperglycemia, insulin resistance and dyslipidemia
(Wong et al., 2016).
Physiological parameters
As can be seen in the Table 1, body weight, body weight gain and BMI were increased significantly (p≤0.05) and high significantly (p≤0.001) in treated groups when compared with the initial and with the control group. Remarkable high body weight gain and BMI must have been referred to obesity which is undoubtedly one of the cardinal dramatic phenomena of the MS
(Hsieh et al., 2016). Fructose in drinking water directly contributes to hyperglycemia resulting in positive energy balance which, by the time, encourage adipocyte hyperplasia and hypertrophy, as an attempt to storage “excess fuel”, giving rise to overweight.
Biochemical parameters
Total protein, albumin, globulin and ALT have non-significant changes in treated groups as illustrated by Table 2. Whereas urea and creatinine were increased (p≤0.001) in F40% group at the end of experiments. There is depression (p≤0.05) in AST and a total bilirubin level of both treated group as compared with their initials and with the control group. Raised blood urea could result from high production or impaired excretion, that may be due to various conditions
(Rodwell et al., 2015). Whereas
Meyer and Hostetter, (2007) supposed the strong relationship between high levels of serum urea and creatinine with insulin resistance, oxidative stress and free radicals production and systemic inflammation characterized by elevated level of TNF-alpha, IL-6. It could be suggested that hyperglycemia may have deleteriously effected on the renal tissue impairing the glomerular function in the clearance of urea. On the other hand,
Al-Agele and Kuduair (2016) believed that renal damage by fructose may be due to enhancing proteinuria and renal incompetence to excrete fructose.
The serum creatinine level estimation was utilized to monitoring of renal failure progressing. High creatinine may be the byproduct of muscular energy metabolism that shifts to depend on non-glucose sources to attain energy due to insulin resistance to which a little amount of glucose can be utilized. Likewise, the raised level of both serum total bilirubin may indicate liver injury, while serum AST due to various tissues damage
(Rodwell et al., 2015).
Serum glucose, insulin, and HOMA-IR were elevated (p≤0.001) in the group of F40%, Table 3. In the same group, HOMA-β index was depressed (p≤0.05). Hyperglycemia that concomitant MS agrees with almost all results of other papers dealt with MS. Actually, it has been believed that insulin resistance evident by higher HOMA-IR is the leading contributor to the pathogenesis of MS
(Mehta et al., 2010). In insulin resistance, the normal concentration of insulin cannot give rise to an adequate response or predicted effect, particularly in adipose tissue, muscles, and liver. As a compensatory mechanism pancreatic, beta cells produce more insulin that ensured by depressed HOMA-β index in our findings, to overcome hyperglycemia
(Nolan et al., 2015). When insulins combined with their receptors, tyrosine phosphorylation of substrates lead to the activation of two parallel cell signaling pathways; phosphoinositol 3-kinase (PI3K) and mitogen activated protein kinase (MAPK). In the case of insulin resistance, MAPK works ordinarily, in contrast to PI3K which lacks their usual path triggering trouble in related signaling pathways, ultimately reduced endothelial NO production that contributing to atherosclerosis
(Lawan et al., 2018).
Lipid profiles were presented in Table 4, although, there were age-related changes, it is clear that the total cholesterol, TG, VLDL, LDL were elevated significantly and HDL decreased as compared with their initial groups and controlled groups. Anyway, disorders related to adipose tissue resulting in a defect in the metabolism of FFAs that worse insulin resistance. However,
Rodwell et al., (2015) suggest that large amount of FFAs encourages more production of lipoproteins and promote the process of gluconeogenesis which subsequent in dyslipidemia. Again, insulin resistance may be the creator of dyslipidemia by several means. It is familiar that in normal conditions, insulin suppresses lipolysis in adipocytes. Therefore, when insulin action is unsuitable, lipolysis will grow to produce more FFAs in the liver and subsequently the excess amount of TG will form
(Yokozawa et al., 2006). Further, FFAs support formation of apoB is the chief lipoprotein of VLDL. Eventually, serum VLDL will be elevated. Insulin contributes to apoB degradation via the PI3K pathway, but when insulin resistance exists, more VLDL will be produced. Finally, it is believed that insulin regulates the activity of lipoprotein lipase that adjusts VLDL metabolism and clearance so insulin resistance causes dyslipidemia through excessive VLDL production. However, VLDL uptake to remnant lipoprotein and LDL (both accused to the development of atherosclerosis), while TG in VLDL has a preference to uptake to HDL, TG enriched HDL consider favored substrate to the hepatic lipase, therefore HDL clear immediately leading to low serum HDL level
(Chiang et al., 2011). Future work should focus on the detailed molecular pathophysiology of induced MS.