<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">JBM</journal-id><journal-title-group><journal-title>Journal of Biosciences and Medicines</journal-title></journal-title-group><issn pub-type="epub">2327-5081</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jbm.2023.116016</article-id><article-id pub-id-type="publisher-id">JBM-125782</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  The Main and Interactive Effects of Fat and Salt Contents of the Diet on Characteristics of Metabolic Syndrome in Male Wistar Rats
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Alireza</surname><given-names>Jahan-Mihan</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kea</surname><given-names>Schwarz</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Leila</surname><given-names>Ninya</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Tatyana</surname><given-names>Kimble</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>Morrison Healthcare at University of Florida Health, Gainesville, FL, USA</addr-line></aff><aff id="aff4"><addr-line>University of Central Florida, Orlando, FL, USA</addr-line></aff><aff id="aff2"><addr-line>Life Care Centers of Orange Park, Orange Park, Clay County, FL, USA</addr-line></aff><aff id="aff1"><addr-line>Department of Nutrition and Dietetics, University of North Florida, Jacksonville, FL, USA</addr-line></aff><pub-date pub-type="epub"><day>09</day><month>06</month><year>2023</year></pub-date><volume>11</volume><issue>06</issue><fpage>196</fpage><lpage>209</lpage><history><date date-type="received"><day>26,</day>	<month>April</month>	<year>2023</year></date><date date-type="rev-recd"><day>23,</day>	<month>June</month>	<year>2023</year>	</date><date date-type="accepted"><day>26,</day>	<month>June</month>	<year>2023</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  The current Western diet contains high amounts of salt and fat. High salt and fat diets are known to have negative impacts on food intake (FI), body weight (BW), body composition (BC), glucose metabolism, and blood pressure. These factors have been studied as separate entities, but the main and interactive effects of dietary salt and fat received little study. The objective of this study was to examine the effect of sodium and fat content of the diet on FI, BW, and BC in male Wistar rats. Male Wistar Rats (n = 48) were allocated into 4 groups (n = 12) and received the following diets: 1. Normal sodium normal fat, 2. Normal sodium high fat, 3. High sodium normal fat, and 4. High sodium high-fat diet for 12 weeks. BW and FI were measured weekly. BC and organs’ weight were recorded post-termination. Regardless of sodium content, a greater FI was observed in normal-fat diet groups compared with high-fat diet groups. However, higher BW and fat (%) were observed in high-fat diet groups. Fasting blood glucose was higher in rats fed normal fat diets compared with those fed high-fat diets. Systolic and diastolic blood pressure was lower in rats fed either high fat, high salt, or normal fat, normal salt diet. In conclusion, fat but not salt content in the diet is a determining factor in the regulation of FI and body weight. Moreover, glucose metabolism can be influenced by both the fat and salt content of the diet.
 
</p></abstract><kwd-group><kwd>Fat</kwd><kwd> Sodium</kwd><kwd> Food Intake</kwd><kwd> Body Weight</kwd><kwd> Metabolic Syndrome</kwd><kwd> Blood Pressure</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Obesity is an exponentially growing health burden worldwide. Currently, two-thirds of the population in the United States are either overweight or obese [<xref ref-type="bibr" rid="scirp.125782-ref1">1</xref>] . Obesity comorbidities include dyslipidemia, high blood pressure, high cholesterol, glucose intolerance, and excess abdominal fat which are known as characteristics of metabolic syndrome [<xref ref-type="bibr" rid="scirp.125782-ref2">2</xref>] . The Western diet is characterized by its high fat and high sodium content. This diet is a major contributing factor in developing obesity and metabolic syndrome. The mean daily sodium (Na<sup>+</sup>) intake of Americans is about 3500 mg/d which is far beyond the recommended level: ≤2300 mg/d [<xref ref-type="bibr" rid="scirp.125782-ref3">3</xref>] . The mean consumption of fat is 34.6% and 35.1% of the total calorie intake in American males and females respectively [<xref ref-type="bibr" rid="scirp.125782-ref4">4</xref>] . Excessive intake of sodium and fat is strongly correlated with a higher risk of stroke, hypertension, and heart disease. Moreover, high salt and fat diets have negative impacts on body weight and composition [<xref ref-type="bibr" rid="scirp.125782-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.125782-ref6">6</xref>] , glucose homeostasis [<xref ref-type="bibr" rid="scirp.125782-ref7">7</xref>] , inflammatory markers [<xref ref-type="bibr" rid="scirp.125782-ref8">8</xref>] , circadian locomotor activity [<xref ref-type="bibr" rid="scirp.125782-ref9">9</xref>] , and satiety hormones [<xref ref-type="bibr" rid="scirp.125782-ref5">5</xref>] . These factors have been studied as separate entities, but little research has been done on the impact of the interaction of these nutrients. The obesogenic effect of a high-fat diet has been proven [<xref ref-type="bibr" rid="scirp.125782-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.125782-ref11">11</xref>] . A high-fat diet resulted in obesity in rats and in humans [<xref ref-type="bibr" rid="scirp.125782-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.125782-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.125782-ref14">14</xref>] . However, the effect of fat on food intake is more compound and is influenced by several factors including the food matrix. Although both fat and salt are appetitive, the effect of either on food intake and appetite is ambiguous. A high-fat, normal sodium diet resulted in the least amount of food eaten, but with the greatest overall energy intake. Similarly, rats fed a high-sodium and high-fat diet also ate less compared to those eating a normal diet [<xref ref-type="bibr" rid="scirp.125782-ref15">15</xref>] . It can be explained by the fact that fat taste sensitivity has a suppressing effect on dietary fat intake [<xref ref-type="bibr" rid="scirp.125782-ref16">16</xref>] . In one study, salt increased food and energy intake while fat had no effect on food intake in healthy adults [<xref ref-type="bibr" rid="scirp.125782-ref16">16</xref>] . Authors suggested that salt increases passive energy intake in adults and it may override fat-mediated satiation in subjects who are sensitive to the taste of fat. In contrast, Blundell et al. suggested that foods with high dietary fat have a weak satiation effect in the short term, which leads to overconsumption (high-fat hyperphagia) [<xref ref-type="bibr" rid="scirp.125782-ref17">17</xref>] . In obese women, a high-CHO lunch and mid-afternoon snack led to less energy intake compared with a high-fat lunch. However, post-meal satiety was similar [<xref ref-type="bibr" rid="scirp.125782-ref18">18</xref>] . In another study, high-fat foods led to passive overconsumption in young male subjects which generate relatively weak satiety [<xref ref-type="bibr" rid="scirp.125782-ref19">19</xref>] . This effect can be influenced by the high energy density of the meal and the high palatability of high-fat foods. This discrepancy among studies can be due to different mechanisms regulating short- vs. long-term food intake. While the short-term food intake regulatory system is regulating meal size and meal frequency, food intake in long term is influenced by more systematic signals including the level of fat storage in the body [<xref ref-type="bibr" rid="scirp.125782-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.125782-ref20">20</xref>] .</p><p>We used Wistar rats as a model for this study. Wistar rats have been used in numerous studies examining metabolic syndrome and food intake regulation due to similarity in metabolic and physiologic mechanisms to human. Moreover, a well-controlled environment helps to minimize the effect of outliers.</p><p>Therefore, the objective of this study was to examine the main and interactive effects of dietary fat and salt on food intake, body weight, and characteristics of metabolic syndrome in male Wistar rats. We hypothesized that dietary salt and fat have synergistic effects promoting food intake, body weight, and characteristics of metabolic syndrome in male Wistar rats.</p></sec><sec id="s2"><title>2. Materials and Methods</title><p>Ethical statement</p><p>The experiment with Wistar rats followed the National Institutes of Health guide for the care and use of laboratory animals (NIH Publications No. 8023, revised 1978). All experimental procedures involving animals were approved by the University of North Florida Institutional Animal Care and Use Committee (IACUC) (Protocol No: IACUC#18-002).</p><p>Experimental design</p><p>A power analysis was performed based on data from a previous study [<xref ref-type="bibr" rid="scirp.125782-ref21">21</xref>] and based on statistical power (80%) and the two-sided significance level (0.05). Male Wistar rats (n = 48, BW: 115.33 &#177; 1.87 g) were allocated to four groups (n = 12/group) and received one of the following treatments for 12 weeks: 1. High salt, high-fat diet (HSHF), 2. High salt, normal fat diet (HSNF), 3. Normal salt, high-fat diet (NSHF) and Normal salt, normal fat diet (NSNF). Body weight (BW) and food intake (FI) were measured on a weekly basis. Moreover, short-term FI (1, 2, and 12 hours) was measured at week 12. Systolic and diastolic blood pressure was measured at weeks 1, 4, 8, and 12. An oral glucose tolerance test was also conducted at weeks 1, 4, 8, and 12. At the end of the study, following 12 hours of fasting, rats were euthanized. Body composition was calculated based on fat and lean mass at the end of the study.</p><p>Animals and diets</p><p>Male Wistar rats were housed individually in plastic cages with ventilation at 22˚C &#177; 1˚C and a 12-hour dark-light cycle (lights on at 2100 hours and off at 0900 hours) with free access to water and food. Wellbeing of rats were assessed through physical assessments that were carried out prior to, during, or after procedures. No substantial adverse events were notified in any group throughout the study.</p><p>Standard diets (AIN-93G) were purchased from Dyets (Dyets Inc. Bethlehem, Pa, USA). The compositions of the diets (per kg) are illustrated in <xref ref-type="table" rid="table1">Table 1</xref>. Salt was manually added to high-salt diets. Morton non-iodized table salt (590 mg Na/1.5 g salt; purity: 99%) was purchased from a Walmart store. The final salt content of normal and high salt diets was 0.5% and 4% respectively.</p><sec id="s2_1"><title>2.1. Procedures</title><p>Long- and short-term food intake</p><p>Long-term FI was measured by weighing the food containers at the beginning and at the end of each week throughout the study. Diets were provided ad</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Composition of the Normal and High fat Diets</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Normal Diet</th><th align="center" valign="middle" ></th><th align="center" valign="middle" >High Fat Diet</th></tr></thead><tr><td align="center" valign="middle" >Cal</td><td align="center" valign="middle" >3597</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >3963</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >g/kg</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Casein</td><td align="center" valign="middle" >200</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >200</td></tr><tr><td align="center" valign="middle" >Sucrose</td><td align="center" valign="middle" >92.7</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >68.8</td></tr><tr><td align="center" valign="middle" >Soybean oil</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >25</td></tr><tr><td align="center" valign="middle" >Lard</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >245</td></tr><tr><td align="center" valign="middle" >t-Butyhydroquinone</td><td align="center" valign="middle" >0.008</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.005</td></tr><tr><td align="center" valign="middle" >Cornstarch</td><td align="center" valign="middle" >426.79</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Dyetrose</td><td align="center" valign="middle" >140</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >125</td></tr><tr><td align="center" valign="middle" >Cellulose</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >50</td></tr><tr><td align="center" valign="middle" >Mineral Mix</td><td align="center" valign="middle" >35</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >10</td></tr><tr><td align="center" valign="middle" >Calcium Carbonate</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >5.5</td></tr><tr><td align="center" valign="middle" >Potassium Citrate</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >16.5</td></tr><tr><td align="center" valign="middle" >Vitamin Mix</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >10</td></tr><tr><td align="center" valign="middle" >Choline Bitartrate</td><td align="center" valign="middle" >2.5</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >2</td></tr><tr><td align="center" valign="middle" >L-Cystine</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >3</td></tr></tbody></table></table-wrap><p>*Salt was manually added to high-salt diets (40 g/kg diet).</p><p>libitum in jars. Spillage was collected, measured, and subtracted to obtain the actual intake.</p><p>Short-term FI was also measured at week 12. After an overnight fast (12 hours), food intake at 1, 2, and 12 hours was measured.</p><p>Blood glucose measurement</p><p>As previously described [<xref ref-type="bibr" rid="scirp.125782-ref22">22</xref>] , tail vein glucose concentration was assayed using a handheld commercial glucometer (Contour<sup>&#174;</sup> Next Blood Glucose Meter, Bayer Healthcare LLC, Mishawaka, IN, USA) using test strips. The accuracy and variance of the glucometer and test strips were examined by applying control solutions (levels 1 and 2) provided by the manufacturer (Bayer, Bayer Healthcare LLC, Mishawaka, IN, USA).</p><p>Blood pressure measurement</p><p>As previously described [<xref ref-type="bibr" rid="scirp.125782-ref23">23</xref>] , blood pressure and pulse were measured by BP 2000 Visitech system<sup>TM</sup> through a non-invasive optical plethysmography tail-cuff method. This equipment has been utilized in many other studies including our previous studies.</p><p>Rats were held individually in a restrainer on a warmed platform (30˚C) which is a relaxing temperature for rats. The tail was stabilized gently and blood pressure was measured through a non-invasive tail-cuff method. At each time point, BP was measured 10 times (the first 5 times were mock measurements as adaptation and were not recorded and the next 5 times were recorded as actual measurements). A computer derived the inflation and deflation of the tail cuff, as a sensor positioned at the base of the tail detected when blood flow started and stopped.</p><p>Oral glucose tolerance test protocol</p><p>Rats fasted overnight for 12 hours. A blood sample was withdrawn from the tail vein before glucose administration and at 15-, 30-, and 60-minutes following glucose administration (0&#183;375 g glucose/ml, 5 g glucose/kg BW).</p><p>Body composition</p><p>Fat mass (FM) and lean mass were measured following euthanasia at week 20. FM was measured by dissection of extracted abdominal, epididymal, and perirenal fat.</p></sec><sec id="s2_2"><title>2.2. Statistical Analysis</title><p>Data are expressed as means with standard errors. The effect of the fat and salt and their interactions on BW, FI, SBP, and DBP, oral glucose tolerance test (OGTT) was analyzed by two-way ANOVA. When repeated measures were made over time on BW, and food intake, the PROC MIXED MODEL procedure was used with fat, salt, and time as the main factors. When interactions were statistically significant, a one-way ANOVA followed by a post hoc Tukey’s test was conducted to evaluate treatment effects. All analyses were conducted using SAS (version 9.4, SAS Institute, Cary, NC). Statistical significance was defined at p &lt; 0.05.</p></sec></sec><sec id="s3"><title>3. Results</title><p>Regardless of salt content, a greater FI was observed in normal-fat diet groups (NSNF and HSNF) compared with high-fat diet groups (HSHF and NSHF) (p &lt; 0.0001) (<xref ref-type="fig" rid="fig1">Figure 1</xref>). However, higher BW was observed in high-fat diet groups (NSHF and HSHF) (p &lt; 0.004) (<xref ref-type="fig" rid="fig2">Figure 2</xref>). Body composition was also affected by the fat content of the diet, while salt content had no impact. Higher abdominal fat and lower fat-free mass (as % BW) (as an absolute amount and as a % BW) were observed in groups on high-fat diets (NSHF and HSHF) compared with those fed normal fat diets (p &lt; 0.05) (<xref ref-type="table" rid="table2">Table 2</xref>). Short-term food intake (1, 2, and 12 hours after fasting) was lower in rats fed high-fat diets compared with those fed normal fat diets at 1 hour (p &lt; 0.04) and 2 hours (p &lt; 0.01) after fasting, regardless of the salt content of the diet. However, the cumulative food intake in 12 hours was influenced by both fat and salt (p &lt; 0.0001): While higher food intake was observed in rats fed high-salt diets, high-fat diets reduced food intake (<xref ref-type="table" rid="table3">Table 3</xref>).</p><p>Fasting blood glucose (FBG) was affected by fat but not the salt content of the diet. FBG was higher in rats fed normal fat diets compared with those fed high-fat diets cumulatively throughout the study (p &lt; 0.03) (<xref ref-type="table" rid="table4">Table 4</xref>). However, this effect disappeared over time and there was no effect of either fat or salt on FBG at week 12. The glucose response to glucose preload was influenced by salt</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Effect of fat and salt on fat and fat-free mass at week 12</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >HSHF</th><th align="center" valign="middle" >HSNF</th><th align="center" valign="middle" >NSHF</th><th align="center" valign="middle" >NSNF</th><th align="center" valign="middle" >p</th></tr></thead><tr><td align="center" valign="middle" >Body weight</td><td align="center" valign="middle" >530 &#177; 10.12<sup>a</sup></td><td align="center" valign="middle" >500.43 &#177; 15.54<sup>b</sup></td><td align="center" valign="middle" >537.45 &#177; 11.53<sup>a</sup></td><td align="center" valign="middle" >556.80 &#177; 10.12<sup>a</sup></td><td align="center" valign="middle" >Fat: p = 0.05</td></tr><tr><td align="center" valign="middle" >Fat mass</td><td align="center" valign="middle" >38.12 &#177; 3.44<sup>a</sup></td><td align="center" valign="middle" >25.12 &#177; 2.35<sup>b</sup></td><td align="center" valign="middle" >39.33 &#177; 3.89<sup>a</sup></td><td align="center" valign="middle" >33.17 &#177; 2.98<sup>ab</sup></td><td align="center" valign="middle" >Salt: NS</td></tr><tr><td align="center" valign="middle" >Fat free mass</td><td align="center" valign="middle" >491.88 &#177; 8.31</td><td align="center" valign="middle" >475.31 &#177; 11.59</td><td align="center" valign="middle" >498.11 &#177; 9.13</td><td align="center" valign="middle" >523.63 &#177; 8.68</td><td align="center" valign="middle" >Time: p = 0.0001</td></tr><tr><td align="center" valign="middle" >Fat mass%</td><td align="center" valign="middle" >7.04 &#177; 0.95<sup>a</sup></td><td align="center" valign="middle" >4.88 &#177; 0.92<sup>b</sup></td><td align="center" valign="middle" >7.19 &#177; 0.88<sup>a</sup></td><td align="center" valign="middle" >5.94 &#177; 0.48<sup>ab</sup></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Fat free mass%</td><td align="center" valign="middle" >92.95 &#177; 6.74</td><td align="center" valign="middle" >95.08 &#177; 5.83</td><td align="center" valign="middle" >92.56 &#177; 7.78</td><td align="center" valign="middle" >93.76 &#177; 4.32</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>Data are Means &#177; SE; n = 12/group. Different letters in each row are significantly different (p &lt; 0.05); fat and fat-free mass were analyzed by MIXED Model followed by Tukey’s post hoc test with fat and salt as the main factors. HSHF: High salt, high-fat diet; HSNF: High salt, normal fat diet; NSHF: Normal salt, high-fat diet; NSNF: Normal salt, normal fat diet. NS: not significant.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Effect of fat and salt on short-term Food intake at week 12</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Diet</th><th align="center" valign="middle" >HSHF</th><th align="center" valign="middle" >HSNF</th><th align="center" valign="middle" >NSHF</th><th align="center" valign="middle" >NSNF</th><th align="center" valign="middle" >p</th></tr></thead><tr><td align="center" valign="middle" >0 - 1 h</td><td align="center" valign="middle" >6.35 &#177; 0.77</td><td align="center" valign="middle" >7.85 &#177; 0.70</td><td align="center" valign="middle" >5.42 &#177; 0.45</td><td align="center" valign="middle" >6.52 &#177; 0.51</td><td align="center" valign="middle" >Fat: p = 0.04; Salt: NS</td></tr><tr><td align="center" valign="middle" >0 - 2 h</td><td align="center" valign="middle" >7.73 &#177; 0.68<sup>ab</sup></td><td align="center" valign="middle" >9.68 &#177; 1.00<sup>a</sup></td><td align="center" valign="middle" >6.46 &#177; 0.41<sup>b</sup></td><td align="center" valign="middle" >8.18 &#177; 0.64<sup>ab</sup></td><td align="center" valign="middle" >Fat: p = 0.01; Salt: NS</td></tr><tr><td align="center" valign="middle" >0 - 12 h</td><td align="center" valign="middle" >17.4 &#177; 0.88<sup>ab</sup></td><td align="center" valign="middle" >22.50 &#177; 1.01<sup>a</sup></td><td align="center" valign="middle" >13.99 &#177; 0.48<sup>b</sup></td><td align="center" valign="middle" >19.03 &#177; 0.43<sup>ab</sup></td><td align="center" valign="middle" >Fat: p = 0.0001; Salt: p = 0.0001</td></tr></tbody></table></table-wrap><p>Data are means &#177; SEM; n = 12/group. Short-term FI was analyzed by MIXED procedure followed by Tukey’s post hoc test with fat and salt as the main factors. Different letters in each row are significantly different (p &lt; 0.05). HSHF: High salt, high-fat diet; HSNF: High salt, normal fat diet; NSHF: Normal salt, high-fat diet; NSNF: Normal salt, normal fat diet. NS: not significant.</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Effect of dietary fat and salt on FBG and BG in response to glucose at weeks 1 (baseline), 4, 8 and 12 (n = 12/group)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Diet</th><th align="center" valign="middle" ></th><th align="center" valign="middle" >HSHF</th><th align="center" valign="middle" >HSNF</th><th align="center" valign="middle" >NSHF</th><th align="center" valign="middle" >NSNF</th><th align="center" valign="middle" >p</th></tr></thead><tr><td align="center" valign="middle"  rowspan="4"  >FBG</td><td align="center" valign="middle" >Wk 1</td><td align="center" valign="middle"  colspan="4"  >6.11 &#177; 0.36</td><td align="center" valign="middle" >Fat: p = 0.03</td></tr><tr><td align="center" valign="middle" >Wk 4</td><td align="center" valign="middle" >5.08 &#177; 0.31<sup>b</sup></td><td align="center" valign="middle" >5.92 &#177; 0.47<sup>b</sup></td><td align="center" valign="middle" >5.54 &#177; 0.24<sup>b</sup></td><td align="center" valign="middle" >7.43 &#177; 0.59<sup>a</sup></td><td align="center" valign="middle" >Salt: NS</td></tr><tr><td align="center" valign="middle" >Wk 8</td><td align="center" valign="middle" >5.97 &#177; 0.22b</td><td align="center" valign="middle" >6.38 &#177; 0.73<sup>b</sup></td><td align="center" valign="middle" >6.74 &#177; 0.58<sup>ab</sup></td><td align="center" valign="middle" >7.10 &#177; 0.57<sup>a</sup></td><td align="center" valign="middle" >Time: p = 0.001</td></tr><tr><td align="center" valign="middle" >Wk 12</td><td align="center" valign="middle" >5.81 &#177; 0.19</td><td align="center" valign="middle" >6.70 &#177; 0.56</td><td align="center" valign="middle" >6.23 &#177; 0.10</td><td align="center" valign="middle" >6.24 &#177; 0.22</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  rowspan="4"  >OGTT</td><td align="center" valign="middle" >Wk 1</td><td align="center" valign="middle"  colspan="4"  >656.18 &#177; 29.36</td><td align="center" valign="middle" >Fat: NS</td></tr><tr><td align="center" valign="middle" >Wk 4</td><td align="center" valign="middle" >539.79 &#177; 39.54</td><td align="center" valign="middle" >556.81 &#177; 23.64</td><td align="center" valign="middle" >637.22 &#177; 39.71</td><td align="center" valign="middle" >575.07 &#177; 27.96</td><td align="center" valign="middle" >Salt: p = 0.04</td></tr><tr><td align="center" valign="middle" >Wk 8</td><td align="center" valign="middle" >517.36 &#177; 26.05</td><td align="center" valign="middle" >479.03 &#177; 39.71</td><td align="center" valign="middle" >629.24 &#177; 57.82</td><td align="center" valign="middle" >552.02 &#177; 29.94</td><td align="center" valign="middle" >Time: p = 0.001</td></tr><tr><td align="center" valign="middle" >Wk 12</td><td align="center" valign="middle" >663.26 &#177; 34.58<sup>ab</sup></td><td align="center" valign="middle" >568.54 &#177; 27.96<sup>b</sup></td><td align="center" valign="middle" >723.54 &#177; 29.94<sup>a</sup></td><td align="center" valign="middle" >634.38 &#177; 69.23<sup>ab</sup></td><td align="center" valign="middle" >Fat x Time: p = 0.01</td></tr></tbody></table></table-wrap><p>Data are Means &#177; SE; n = 12/group. Wk 1: Baseline. FBG and OGTT were analyzed by MIXED Model followed by Tukey’s post hoc test with fat and salt as the main factors. FBG: Fasting Blood Glucose. OGTT: Oral Glucose Tolerance Test. Different letters in each row are significantly different (p &lt; 0.05). HSHF: High salt, high-fat diet; HSNF: High salt, normal fat diet; NSHF: Normal salt, high-fat diet; NSNF: Normal salt, normal fat diet. NS: not significant.</p><p>but not the fat content of the diet cumulatively throughout the study. This response was found to be higher in rats fed normal salt diets compared with those fed high salt diets (p &lt; 0.04) (<xref ref-type="table" rid="table4">Table 4</xref>). The effect of fat on glucose response to glucose preload was increased over time, it was higher in rats fed high-fat diets compared with those fed normal fat diets at week 12 (p &lt; 0.05) (<xref ref-type="table" rid="table4">Table 4</xref>).</p><p>Systolic and diastolic blood pressure were not influenced by either the fat or salt content of the diet but were influenced by their interactions. Systolic and diastolic blood pressure were lower in rats fed either HSHF or NSNF diet compared with those fed HSNF, or NSHF diet (p &lt; 0.005 and p &lt; 0.03 respectively) (<xref ref-type="table" rid="table5">Table 5</xref>). However, pulse was influenced by the salt content of the diet only. It was higher in rats fed high salt diets compared with those fed normal salt diets (p &lt; 0.001) (<xref ref-type="table" rid="table5">Table 5</xref>).</p></sec><sec id="s4"><title>4. Discussion</title><p>Consistent with previous studies, the results of this study support the notion that fat and salt contents of the diet are factors determining food intake, body weight, and body composition [<xref ref-type="bibr" rid="scirp.125782-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.125782-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.125782-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.125782-ref12">12</xref>] - [<xref ref-type="bibr" rid="scirp.125782-ref18">18</xref>] . The results of this study showed that fat but not sodium influences food intake in the long term. High-fat diets</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Effect of dietary fat and salt on SBP, DBP, and pulse at weeks 1 (baseline), 4, 8 and 12</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Diet</th><th align="center" valign="middle" ></th><th align="center" valign="middle" >HSHF</th><th align="center" valign="middle" >HSNF</th><th align="center" valign="middle" >NSHF</th><th align="center" valign="middle" >NSNF</th><th align="center" valign="middle" >P</th></tr></thead><tr><td align="center" valign="middle"  rowspan="4"  >SBP</td><td align="center" valign="middle" >Wk 1</td><td align="center" valign="middle"  colspan="2"  >107.41 &#177; 5.39</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Fat: NS</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Wk 4</td><td align="center" valign="middle" >111.23 &#177; 14.5<sup>b</sup></td><td align="center" valign="middle" >124.75 &#177; 12.18<sup>ab</sup></td><td align="center" valign="middle" >139.85 &#177; 9.96<sup>a</sup></td><td align="center" valign="middle" >118.88 &#177; 1349<sup>ab</sup></td><td align="center" valign="middle" >Salt: NS</td></tr><tr><td align="center" valign="middle" >Wk 8</td><td align="center" valign="middle" >125.2 &#177; 5.75<sup>ab</sup></td><td align="center" valign="middle" >154.13 &#177; 12.64<sup>a</sup></td><td align="center" valign="middle" >137.85 &#177; 11.45<sup>ab</sup></td><td align="center" valign="middle" >112.35 &#177; 4.97<sup>b</sup></td><td align="center" valign="middle" >Time: p = 0.001</td></tr><tr><td align="center" valign="middle" >Wk 12</td><td align="center" valign="middle" >129.2 &#177; 3.87<sup>b</sup></td><td align="center" valign="middle" >145.48 &#177; 5.13<sup>a</sup></td><td align="center" valign="middle" >143.07 &#177; 2.84<sup>a</sup></td><td align="center" valign="middle" >139.08 &#177; 2.03<sup>ab</sup></td><td align="center" valign="middle" >Fat x Salt: p &lt; 0.005</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >DBP</td><td align="center" valign="middle" >Wk 1</td><td align="center" valign="middle"  colspan="2"  >60.48 &#177; 7.93</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Fat: NS</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Wk 4</td><td align="center" valign="middle" >69.53 &#177; 2.80</td><td align="center" valign="middle" >64.33 &#177; 6.63</td><td align="center" valign="middle" >74.23 &#177; 8.20</td><td align="center" valign="middle" >60.67 &#177; 12.28</td><td align="center" valign="middle" >Salt: NS</td></tr><tr><td align="center" valign="middle" >Wk 8</td><td align="center" valign="middle" >57.07 &#177; 8.84</td><td align="center" valign="middle" >71.25 &#177; 14.06</td><td align="center" valign="middle" >77.11 &#177; 14.92</td><td align="center" valign="middle" >63.28 &#177; 5.15</td><td align="center" valign="middle" >Time: p &lt; 0.02</td></tr><tr><td align="center" valign="middle" >Wk 12</td><td align="center" valign="middle" >73.73 &#177; 3.11</td><td align="center" valign="middle" >96.17 &#177; 15.57</td><td align="center" valign="middle" >77.50 &#177; 6.88</td><td align="center" valign="middle" >79.06 &#177; 9.72</td><td align="center" valign="middle" >Fat x Salt: p &lt; 0.03</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Pulse</td><td align="center" valign="middle" >Wk 1</td><td align="center" valign="middle"  colspan="2"  >492.76 &#177; 22.00</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Fat: NS</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Wk 4</td><td align="center" valign="middle" >480.64 &#177; 18.07</td><td align="center" valign="middle" >424.29 &#177; 16.63</td><td align="center" valign="middle" >451.84 &#177; 18.52</td><td align="center" valign="middle" >426.08 &#177; 23.09</td><td align="center" valign="middle" >Salt: p &lt; 0.05</td></tr><tr><td align="center" valign="middle" >Wk 8</td><td align="center" valign="middle" >425.83 &#177; 13.31</td><td align="center" valign="middle" >433.70 &#177; 29.08</td><td align="center" valign="middle" >359.02 &#177; 45.20</td><td align="center" valign="middle" >380.15 &#177; 20.39</td><td align="center" valign="middle" >Time: p = 0.001</td></tr><tr><td align="center" valign="middle" >Wk 12</td><td align="center" valign="middle" >434.39 &#177; 11.62</td><td align="center" valign="middle" >436.34 &#177; 13.59</td><td align="center" valign="middle" >425.27 &#177; 14.66</td><td align="center" valign="middle" >422.38 &#177; 18.06</td><td align="center" valign="middle" >Fat x Time: NS</td></tr></tbody></table></table-wrap><p>Data are Means &#177; SE; n = 12/group. Wk 1: Baseline. FBG and OGTT were analyzed by MIXED Model followed by Tukey’s post hoc test with fat and salt as the main factors. FBG: Fasting Blood Glucose. OGTT: Oral Glucose Tolerance Test. Different letters in each row are significantly different (p &lt; 0.05). HSHF: High salt, high-fat diet; HSNF: High salt, normal fat diet; NSHF: Normal salt, high-fat diet; NSNF: Normal salt, normal fat diet. NS: not significant.</p><p>resulted in lower food intake. The results from previous studies examining the effect of dietary fat and sodium on food intake are mixed. A high-fat, normal sodium diet resulted in the least amount of food eaten but with the greatest overall energy intake in humans [<xref ref-type="bibr" rid="scirp.125782-ref16">16</xref>] . In another study, rats fed a high-sodium and high-fat diet also ate less compared to those eating a normal-fat diet. It can be explained by the fact that fat taste sensitivity has a suppressing effect on dietary fat intake [<xref ref-type="bibr" rid="scirp.125782-ref16">16</xref>] . In contrast, in another study, high-fat foods led to passive overconsumption in young male subjects [<xref ref-type="bibr" rid="scirp.125782-ref14">14</xref>] . It is suggested that foods with high dietary fat have a weak satiation effect in the short term, which leads to overconsumption (high-fat hyperphagia) [<xref ref-type="bibr" rid="scirp.125782-ref17">17</xref>] . In a clinical study, high-fat foods resulted in passive overconsumption [<xref ref-type="bibr" rid="scirp.125782-ref14">14</xref>] . The high energy density of the meal and the high palatability of high-fat foods are influencing factors as well. In another study, salt increased food and energy intake while fat had no effect on food intake in healthy adults [<xref ref-type="bibr" rid="scirp.125782-ref16">16</xref>] . It has been suggested that salt increases passive energy intake in adults and it may override fat-mediated satiation in subjects who are sensitive to the taste of fat. It has also been suggested that the satiating effects of a diet with high fat: carbohydrate ratio is weaker compared with a diet with a lower ratio [<xref ref-type="bibr" rid="scirp.125782-ref5">5</xref>] . These inconsistencies can be explained by differences in their experimental designs, particularly the period of the food intake that has been studied: Mechanisms regulating short- and long-term food intakes are fundamentally different. While the short-term food intake regulatory system is controlling meal size and meal frequency, food intake in long term is influenced by more systemic signals including body weight and the level of fat storage in the body [<xref ref-type="bibr" rid="scirp.125782-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.125782-ref20">20</xref>] . For example, in the short term, taste may play a more significant role while total energy intake and energy density are major players in long-term food intake regulation [<xref ref-type="bibr" rid="scirp.125782-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.125782-ref20">20</xref>] which is consistent with our results: While short-term food intake in 12 hours was influenced by both fat and salt, long-term food intake was influenced by the fat content of the diet only. Although a high-fat diet may increase the meal size, it may reduce the meal frequency: during the inter-meal interval, a high-fat diet resulted in more sustained satiety compared with a high CHO preload, leading to a lower meal frequency [<xref ref-type="bibr" rid="scirp.125782-ref15">15</xref>] .</p><p>The results of this study support the role of fat and salt in the regulation of glucose metabolism. While FBG was not affected by either fat or salt content of the diet at the end of the study, the glucose response to glucose preload was higher in rats fed a high-fat, normal salt diet compared with other groups at week 12. The effect of dietary fat and salt on glucose metabolism has been studied separately in previous studies [<xref ref-type="bibr" rid="scirp.125782-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.125782-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.125782-ref26">26</xref>] . In rats, a high-fat diet increased body weight but had no significant effect on oral glucose tolerance [<xref ref-type="bibr" rid="scirp.125782-ref27">27</xref>] . Although the negative effects of a high-fat diet on glucose metabolism are reported, they are mostly secondary to the obesity induced by a high-fat diet [<xref ref-type="bibr" rid="scirp.125782-ref28">28</xref>] . However, some studies suggested this effect might be independent of obesity [<xref ref-type="bibr" rid="scirp.125782-ref7">7</xref>] . Mice on high fat, high salt diet for ten weeks, showed elevated fasting blood glucose and impaired glucose control during glucose tolerance tests [<xref ref-type="bibr" rid="scirp.125782-ref7">7</xref>] . In another study, high salt, high-fat diet deteriorated glucose intolerance, with impairment in insulin secretion. The authors suggested that it can be due to the attenuation of expansion of β-cell mass in the pancreas [<xref ref-type="bibr" rid="scirp.125782-ref29">29</xref>] . Similarly, a high salt diet enhanced insulin signaling and induces insulin resistance in Dahl salt-sensitive rats [<xref ref-type="bibr" rid="scirp.125782-ref30">30</xref>] [<xref ref-type="bibr" rid="scirp.125782-ref31">31</xref>] . In contrast, in hypertensive, overweight subjects, fasting plasma glucose, insulin, and homeostasis model assessment were higher and blood pressure was lower in subjects on a low salt diet as compared with those who were on a high salt diet. The authors concluded that the increase in insulin resistance on a low-salt diet is not affected by salt sensitivity to blood pressure [<xref ref-type="bibr" rid="scirp.125782-ref32">32</xref>] . These results are consistent with our findings in this study. The interactive effects of sodium and glucose can be partially through Na-glucose cotransporter (SGLT2), their common mechanism of transportation. SGLT2 inhibitors have been utilized as drugs to prevent heart failure in diabetics [<xref ref-type="bibr" rid="scirp.125782-ref33">33</xref>] . In one study, Tofogliflozin, an SGLT2 inhibitor, improved cardiac hypertrophy, and fibrosis and reduced ketone usage in myocardial tissue in Dahl Salt-Sensitive and Salt-Resistant Rats Fed a High-Fat Diet [<xref ref-type="bibr" rid="scirp.125782-ref33">33</xref>] . In another study, SGLT2 blockade slowed the progression of diabetic kidney disease by reducing physical strain on the glomerulus in rats [<xref ref-type="bibr" rid="scirp.125782-ref34">34</xref>] .</p><p>Blood pressure can be influenced by various factors including but not limited to age, family history, high sodium or low potassium diet, obesity, and alcohol<sup> </sup> [<xref ref-type="bibr" rid="scirp.125782-ref35">35</xref>] . The underlying mechanisms by which sodium affects the blood pressure can be through water retention, vascular remodeling, and endothelial dysfunction [<xref ref-type="bibr" rid="scirp.125782-ref36">36</xref>] . We found that the interactions of dietary fat and salt proved significant impact on systolic and diastolic blood pressure; rats fed either HSHF or NSNF diet had lower systolic and diastolic blood pressure compared with rats fed HSNF or NSHF diet. The results from previous studies showed the negative effects of salt [<xref ref-type="bibr" rid="scirp.125782-ref37">37</xref>] and long-term high fat intake [<xref ref-type="bibr" rid="scirp.125782-ref38">38</xref>] on the risk of cardiovascular diseases, perhaps due to the obesogenic effect of a high-fat diet on blood pressure. However, this effect might be conditional on the individuals’ salt sensitivity [<xref ref-type="bibr" rid="scirp.125782-ref3">3</xref>] . Moreover, the duration of this study might be too short to induce hypertension by the diet’s higher fat and salt contents as evidenced by the significant interaction between the effect of time and fat and salt on blood pressure. However, pulse was higher in rats fed high salt diets compared with those fed normal salt diets. Further studies are needed to investigate the role of sodium in the regulation of the pulse. Although there is no direct implementation of these findings in human, they may be considered as a basis for future clinical trials since rodents and human are sharing similar metabolic and physiologic mechanisms.</p><p>The relatively short duration is the major limitation of this study. Moreover, a dose- and time-dependent study will be helpful to determine whether the effect of fat and salt on measured parameters is dose-dependent. However, the current design is suitable for the proposed hypothesis, which examined the main and interactive effects of dietary fat and salt on food intake, body weight, body composition, and characteristics of metabolic syndrome in male Wistar rats.</p></sec><sec id="s5"><title>5. Conclusion</title><p>In conclusion, the results of this study support the notion that dietary fat and salt and their interaction are determining factors in the regulation of food intake, body weight, body composition, and blood pressure in male Wistar rats. Dietary fat showed a detrimental effect on body composition and body weight and glucose metabolism regardless of the salt content of the diet while higher salt content deteriorated the pulse rate.</p></sec><sec id="s6"><title>Financial Support</title><p>This study is supported by the US foundation, University of North Florida.</p></sec><sec id="s7"><title>Authorship</title><p>Kea Schwarz formulated the research questions, designed the study, carried out the study, analyzed the data, interpreted the findings and wrote the article; Leila Ninya formulated the research questions, designed the study, carried out the study, analyzed the data, interpreted the findings and wrote the article; Tatyana Kimble formulated the research questions, designed the study, carried out the study, analyzed the data, interpreted the findings and wrote the article; Alireza Jahan-Mihan supervised students throughout the study and revised and finalized the manuscript.</p></sec><sec id="s8"><title>Conflicts of Interest</title><p>The authors declared no conflicts of interest.</p></sec><sec id="s9"><title>Cite this paper</title><p>Jahan-Mihan, A., Schwarz, K., Ninya, L. and Kimble, T. (2023) The Main and Interactive Effects of Fat and Salt Contents of the Diet on Characteristics of Metabolic Syndrome in Male Wistar Rats. Journal of Biosciences and Medicines, 11, 196-209. https://doi.org/10.4236/jbm.2023.116016</p></sec><sec id="s10"><title>List of Abbreviations</title><p>BW: Body weight</p><p>BC: Body composition</p><p>Cal: Calorie</p><p>DBP: Diastolic blood pressure</p><p>FBG: Fasting blood glucose</p><p>FI: Food intake</p><p>g: Gram</p><p>HSHF: High salt, high-fat diet</p><p>HSNF: High salt, normal fat diet</p><p>IACUC: Institutional Animal Care and Use Committee</p><p>NS: Not significant</p><p>NSHF: Normal salt, high-fat diet</p><p>NSNF: Normal salt, normal fat diet</p><p>OGTT: Oral glucose tolerance test</p><p>SBP: Systolic blood pressure</p><p>T: Time</p></sec></body><back><ref-list><title>References</title><ref id="scirp.125782-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Centers for Disease Control and Prevention (CDC), National Center for Health and Statistics (2022) Obesity and Overweight. CDC.https://www.cdc.gov/nchs/fastats/obesity-overweight.htm</mixed-citation></ref><ref id="scirp.125782-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Churilla, J.R., Fitzhugh, E.C. and Thompson, D.L. (2007) The Metabolic Syndrome: How Definition Impacts the Prevalence and Risk in U.S. Adults: 1999-2004 NHANES. Metabolic Syndrome and Related Disorders, 5, 331-342. https://doi.org/10.1089/met.2007.0010</mixed-citation></ref><ref id="scirp.125782-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Robinson, A.T., Edwards, D.G. and Farquhar, W.B. (2019) The Influence of Dietary Salt beyond Blood Pressure. Current Hypertension Reports, 21, Article No. 42. https://doi.org/10.1007/s11906-019-0948-5</mixed-citation></ref><ref id="scirp.125782-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">National Center for Health Statistics (2019) Diet and Nutrition. Health, United States. https://www.cdc.gov/nchs/fastats/diet.htm</mixed-citation></ref><ref id="scirp.125782-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Golay, A. and Bobbioni, E. (1997) The Role of Dietary Fat in Obesity. International Journal of Obesity and Related Metabolic Disorders, 21, S2-S11.</mixed-citation></ref><ref id="scirp.125782-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Mendes-Junior, L.G., Freitas-Lima, L.C., Oliveira, J.R., et al. (2018) The Usefulness of Short-Term High-Fat/High Salt Diet as a Model of Metabolic Syndrome in Mice. Life Sciences, 209, 341-348. https://doi.org/10.1016/j.lfs.2018.08.034</mixed-citation></ref><ref id="scirp.125782-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Frieler, R.A., Vigil, T.M., Song, J., Leung, C., Lumeng, C.N. and Mortensen, R.M. (2021) High-Fat and High-Sodium Diet Induces Metabolic Dysfunction in the Absence of Obesity. Obesity, 29, 1868-1881. https://doi.org/10.1002/oby.23264</mixed-citation></ref><ref id="scirp.125782-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Tan, B.L. and Norhaizan, M.E. (2019) Effect of High-Fat Diets on Oxidative Stress, Cellular Inflammatory Response and Cognitive Function. Nutrients, 11, Article 2579. https://doi.org/10.3390/nu11112579</mixed-citation></ref><ref id="scirp.125782-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Yokoyama, Y., Nakamura, T.J., Yoshimoto, K., et al. (2020) A High-Salt/High Fat Diet Alters Circadian Locomotor Activity and Glucocorticoid Synthesis in Mice. PLOS ONE, 15, e0233386. https://doi.org/10.1371/journal.pone.0233386</mixed-citation></ref><ref id="scirp.125782-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Li, J., Wu, H., Liu, Y. and Yang, L. (2020) High Fat Diet Induced Obesity Model Using Four Strainsof Mice: Kunming, C57BL/6, BALB/c and ICR. Experimental Animals, 69, 326-335. https://doi.org/10.1538/expanim.19-0148</mixed-citation></ref><ref id="scirp.125782-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Deshpande, S.S.S., Nemani, H. and Balasinor, N.H. (2021) High Fat Diet-Induced- and Genetically Inherited-Obesity Differential Alters DNA Demethylation Pathways in the Germline of Adult Male Rats. Reproductive Biology, 21, Article ID: 100532. https://doi.org/10.1016/j.repbio.2021.100532</mixed-citation></ref><ref id="scirp.125782-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Song, W., Song, C., Li, L., et al. (2021) Lactobacillus Alleviated Obesity Induced by High-Fat Diet in Mice. Journal of Food Science, 86, 5439-5451. https://doi.org/10.1111/1750-3841.15971</mixed-citation></ref><ref id="scirp.125782-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Ghanemi, A., Yoshioka, M. and St-Amand, J. (2021) Trefoil Factor Family Member 2 Expression as an Indicator of the Severity of the High-Fat Diet-Induced Obesity. Genes, 12, Article 1505. https://doi.org/10.3390/genes12101505</mixed-citation></ref><ref id="scirp.125782-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Green, S.M., Burley, V.J. and Blundell, J.E. (1994) Effect of Fat- and Sucrose-Containing Foods on the Size of Eating Episodes and Energy Intake in Lean Males: Potential for Causing Overconsumption. European Journal of Clinical Nutrition, 48, 547-555.</mixed-citation></ref><ref id="scirp.125782-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Westerterp-Plantenga, M.S. (2004) Fat Intake and Energy-Balance Effects. Physiology &amp; Behavior, 83, 579-585. https://doi.org/10.1016/j.physbeh.2004.07.027</mixed-citation></ref><ref id="scirp.125782-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Bolhuis, D.P., Costanzo, A., Newman, L.P. and Keast, R.S. (2016) Salt Promotes Passive Overconsumption of Dietary Fat in Humans. The Journal of Nutrition, 146, 838-845. https://doi.org/10.3945/jn.115.226365</mixed-citation></ref><ref id="scirp.125782-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Blundell, J.E. and MacDiarmid, J.I. (1997) Fat as a Risk Factor for Overconsumption: Satiation, Satiety, and Patterns of Eating. Journal of the Academy of Nutrition and Dietetics, 97, S63-S69. https://doi.org/10.1016/S0002-8223(97)00733-5</mixed-citation></ref><ref id="scirp.125782-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Green, S.M., Wales, J.K., Lawton, C.L. and Blundell, J.E. (2000) Comparison of High-Fat and High-Carbohydrate Foods in a Meal or Snack on Short-Term Fat and Energy Intakes in Obese Women. British Journal of Nutrition, 84, 521-530. https://doi.org/10.1017/S0007114500001835</mixed-citation></ref><ref id="scirp.125782-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Brunerová, L. and Andel, M. (2013) Regulacepríjmupotravy—I. Cast [Food Intake Regulation—1st Part]. Vnitrní Lékarství, 59, 808-817.</mixed-citation></ref><ref id="scirp.125782-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Brunerová, L. and Andel, M. (2014) Regulacepríjmupotravy—II. Cast. [Food Intake Regulation—2nd Part]. Vnitrní Lékarství, 60, 38-50.</mixed-citation></ref><ref id="scirp.125782-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">Smith-Barbaro, P.R., Quinn, M., Fisher, H. and Hegsted, D.M. (1981) The Effect of Dietary Fat and Salt on Blood Pressure, Renal and Aortic Prostaglandins. Nutrition Research, 1, 277-287. https://doi.org/10.1016/S0271-5317(81)80028-0</mixed-citation></ref><ref id="scirp.125782-ref22"><label>22</label><mixed-citation publication-type="other" xlink:type="simple">Jahan-Mihan, A. (2019) The Effect of Maternal Intact Protein- and Amino Acid-Based Diets on Development of Food Intake Regulatory Systems and Body Weight in Dams and Male Offspring of Wistar Rats. International Journal of Molecular Sciences, 20, Article 1690. https://doi.org/10.3390/ijms20071690</mixed-citation></ref><ref id="scirp.125782-ref23"><label>23</label><mixed-citation publication-type="other" xlink:type="simple">Jahan-Mihan, A., Labyak, C.A. and Arikawa, A.Y. (2017) The Effect of Characteristics of Proteins Fed during Gestation and Lactation on Development of Metabolic Syndrome in Dams and Male Offspring of Wistar Rats. Obesity Science &amp; Practice, 3, 224-232. https://doi.org/10.1002/osp4.95</mixed-citation></ref><ref id="scirp.125782-ref24"><label>24</label><mixed-citation publication-type="other" xlink:type="simple">Zhao, Y., Gao, P., Sun, F., et al. (2016) Sodium Intake Regulates Glucose Homeostasis through the PPARδ/Adiponectin-Mediated SGLT2 Pathway. Cell Metabolism, 23, 699-711. https://doi.org/10.1016/j.cmet.2016.02.019</mixed-citation></ref><ref id="scirp.125782-ref25"><label>25</label><mixed-citation publication-type="other" xlink:type="simple">Nagy, C. and Einwallner, E. (2018) Study of In Vivo Glucose Metabolism in High-Fat Diet-Fed Mice Using Oral Glucose Tolerance Test (OGTT) and Insulin Tolerance Test (ITT). Journal of Visualized Experiments, No. 131, Article ID: 56672. https://doi.org/10.3791/56672-v</mixed-citation></ref><ref id="scirp.125782-ref26"><label>26</label><mixed-citation publication-type="other" xlink:type="simple">Appiakannan, H.S., Rasimowicz, M.L., Harrison, C.B. and Weber, E.T. (2020) Differential Effects of High-Fat Diet on Glucose Tolerance, Food Intake, and Glucocorticoid Regulation in Male C57BL/6J and BALB/cJ Mice. Physiology &amp; Behavior, 215, Article ID: 112773. https://doi.org/10.1016/j.physbeh.2019.112773</mixed-citation></ref><ref id="scirp.125782-ref27"><label>27</label><mixed-citation publication-type="other" xlink:type="simple">Liang, H., Jiang, F., Cheng, R., et al. (2021) A High-Fat Diet and High-Fat and High-Cholesterol Diet May Affect Glucose and Lipid Metabolism Differentially through Gut Microbiota in Mice. Experimental Animals, 70, 73-83. https://doi.org/10.1538/expanim.20-0094</mixed-citation></ref><ref id="scirp.125782-ref28"><label>28</label><mixed-citation publication-type="other" xlink:type="simple">Mittendorfer, B. and Ljungqvist, O. (2020) Editorial: Glucose Metabolism in Infancy, Obesity and Pre and Post-Surgery. Current Opinion in Clinical Nutrition and Metabolic Care, 23, 253-254. https://doi.org/10.1097/MCO.0000000000000664</mixed-citation></ref><ref id="scirp.125782-ref29"><label>29</label><mixed-citation publication-type="other" xlink:type="simple">Taki, K., Takagi, H., Hirose, T., et al. (2021) Dietary Sodium Chloride Attenuates Increased β-Cell Mass to Cause Glucose Intolerance in Mice under a High-Fat Diet. PLOS ONE, 16, e0248065. https://doi.org/10.1371/journal.pone.0248065</mixed-citation></ref><ref id="scirp.125782-ref30"><label>30</label><mixed-citation publication-type="other" xlink:type="simple">Ogihara, T., Asano, T., Ando, K., et al. (2002) High-Salt Diet Enhances Insulin Signaling and Induces Insulin Resistance in Dahl Salt-Sensitive Rats. Hypertension, 40, 83-89. https://doi.org/10.1161/01.HYP.0000022880.45113.C9</mixed-citation></ref><ref id="scirp.125782-ref31"><label>31</label><mixed-citation publication-type="other" xlink:type="simple">Ogihara, T., Asano, T., Ando, K., et al. (2001) Insulin Resistance with Enhanced Insulin Signaling in High-Salt Diet-Fed Rats. Diabetes, 50, 573-583. https://doi.org/10.2337/diabetes.50.3.573</mixed-citation></ref><ref id="scirp.125782-ref32"><label>32</label><mixed-citation publication-type="other" xlink:type="simple">Garg, R., Sun, B. and Williams J. (2014) Effect of Low Salt Diet on Insulin Resistance in Salt-Sensitive versus Salt-Resistant Hypertension. Hypertension, 64, 1384-1387. https://doi.org/10.1161/HYPERTENSIONAHA.114.03880</mixed-citation></ref><ref id="scirp.125782-ref33"><label>33</label><mixed-citation publication-type="other" xlink:type="simple">Kimura, T., Nakamura, K., Miyoshi, T., et al. (2019) Inhibitory Effects of Tofogliflozin on Cardiac Hypertrophy in Dahl Salt-Sensitive and Salt-Resistant Rats Fed a High-Fat Diet. International Heart Journal, 60, 728-735. https://doi.org/10.1536/ihj.18-392</mixed-citation></ref><ref id="scirp.125782-ref34"><label>34</label><mixed-citation publication-type="other" xlink:type="simple">Thomson, S.C. and Vallon, V. (2021) Effects of SGLT2 Inhibitor and Dietary NaCl on Glomerular Hemodynamics Assessed by Micropuncture in Diabetic Rats. The American Journal of Physiology-Renal Physiology, 320, F761-F771. https://doi.org/10.1152/ajprenal.00552.2020</mixed-citation></ref><ref id="scirp.125782-ref35"><label>35</label><mixed-citation publication-type="other" xlink:type="simple">American Heart Association (2022) Know Your Risk Factors for High Blood Pressure. https://www.heart.org/en/health-topics/high-blood-pressure/why-high-blood-pressure-is-a-silent-killer/know-your-risk-factors-for-high-blood-pressure</mixed-citation></ref><ref id="scirp.125782-ref36"><label>36</label><mixed-citation publication-type="other" xlink:type="simple">Grillo, A., Salvi, L., Coruzzi, P., Salvi, P. and Parati, G. (2019) Sodium Intake and Hypertension. Nutrients, 11, Article 1970. https://doi.org/10.3390/nu11091970</mixed-citation></ref><ref id="scirp.125782-ref37"><label>37</label><mixed-citation publication-type="other" xlink:type="simple">Ge, Q., Wang, Z., Wu, Y., et al. (2017) High Salt Diet Impairs Memory-Related Synaptic Plasticity via Increased Oxidative Stress and Suppressed Synaptic Protein Expression. Molecular Nutrition &amp; Food Research, 61, Article 1700134. https://doi.org/10.1002/mnfr.201700134</mixed-citation></ref><ref id="scirp.125782-ref38"><label>38</label><mixed-citation publication-type="other" xlink:type="simple">Clifton, P. (2019) Metabolic Syndrome-Role of Dietary Fat Type and Quantity. Nutrients, 11, Article 1438. https://doi.org/10.3390/nu11071438</mixed-citation></ref></ref-list></back></article>