<?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">FNS</journal-id><journal-title-group><journal-title>Food and Nutrition Sciences</journal-title></journal-title-group><issn pub-type="epub">2157-944X</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/fns.2019.106049</article-id><article-id pub-id-type="publisher-id">FNS-93242</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>
 
 
  High Sugar-Fat Diet Induces Metabolic-Inflammatory Disorders Independent of Obesity Development
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jéssica</surname><given-names>Leite Garcia</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>Fabiane</surname><given-names>Valentini Francisqueti</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ana</surname><given-names>Paula da Costa Rodrigues Ferraz</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Artur</surname><given-names>Junio Togneri Ferron</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mariane</surname><given-names>Róvero Costa</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Cristina</surname><given-names>Schmitt Gregolin</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Dijon</surname><given-names>Henrique Salomé de Campos</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Klinsmann</surname><given-names>Carolo dos Santos</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Igor</surname><given-names>Otávio Minatel</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>Camila</surname><given-names>Renata Corrêa</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Medical School, S&amp;amp;#227;o Paulo State University (UNESP), Botucatu, Brazil</addr-line></aff><aff id="aff2"><addr-line>Institute of Bioscience, S&amp;amp;#227;o Paulo State University (UNESP), Botucatu, Brazil</addr-line></aff><pub-date pub-type="epub"><day>10</day><month>06</month><year>2019</year></pub-date><volume>10</volume><issue>06</issue><fpage>664</fpage><lpage>677</lpage><history><date date-type="received"><day>17,</day>	<month>May</month>	<year>2019</year></date><date date-type="rev-recd"><day>23,</day>	<month>June</month>	<year>2019</year>	</date><date date-type="accepted"><day>26,</day>	<month>June</month>	<year>2019</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>
 
 
  Background: The modern dietary habit, which is rich in refined carbohydrates and saturated fats, increases the risk of chronic diseases due to the proinflammatory effect of these nutrients. 
  Aim: To evaluate the impact of high sugar-fat diet in the development of metabolic-inflammatory disorders in non-obese animals. 
  Methods: Male Wistar rats were distributed into two groups according to the diet: control and high sugar-fat for 30 weeks. It was analyzed: dietary efficiency; chow, water and caloric intake; metabolic and hormonal profile in plasma and inflammatory cytokines in epididymal adipose tissue. Data were compared by Student’s t test or by Mann-Whitney U test with p &lt; 0.05 as significant. 
  Results: HSF presented lower chow intake, higher water consumption and dietary efficiency with no difference in the caloric intake. The final body weight (FBW) and weight gain (WG) were lower in the HSF group and there was no difference in the adiposity index (AI). HSF diet-induced hyperglycemia and hyperinsulinemia with no difference for Homeostatic Model Assessment for Insulin Resistance (HOMA-IR). Triglycerides, uric acid, adiponectin and leptin levels were higher in the HSF group. The HSF group showed increased interleukin-6 (IL-6) and tumoral necrosis factor-alpha (TNF-
  <em>α</em>) levels in epidydimal adipose tissue. The urinary protein-creatinine ratio and albuminuria were higher in the HSF group. 
  Conclusion: HSF diet intake is directly involved in the development of metabolic-inflammatory disorders independent of obesity, dissociating the view that increased adiposity is the major risk factor for complications commonly found in obese individuals.
 
</p></abstract><kwd-group><kwd>High Sugar-Fat Diet</kwd><kwd> Western Diet</kwd><kwd> Adipose Tissue</kwd><kwd> Cytokines</kwd><kwd>  Metabolic Disorders</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>The literature suggests that the metabolic syndrome is consequence of adipose tissue-generated molecules which initiates a state of low-grade inflammation, responsible by metabolic, hemodynamic and vascular consequences [<xref ref-type="bibr" rid="scirp.93242-ref1">1</xref>] . In a condition of positive energetic balance, the caloric excess is stored in adipose tissue, which also has an endocrine function, secreting different adipokines [<xref ref-type="bibr" rid="scirp.93242-ref2">2</xref>] . However, the adipocyte hypertrophy process leads to adipose tissue dysfunction, characterized by deregulation in the adipokines secretion. Within this context, there is an increase in the tumoral necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), monocyte chemoattractant protein-1 (MCP-1), leptin and resistin levels and a reduction of adiponectin, a protective and anti-inflammatory agent [<xref ref-type="bibr" rid="scirp.93242-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.93242-ref4">4</xref>] . This proinflammatory scenario is associated with the development of insulin resistance, type II Diabetes Mellitus, cardiovascular and kidney diseases [<xref ref-type="bibr" rid="scirp.93242-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.93242-ref6">6</xref>] .</p><p>On the other hand, a new perspective has discussed the hypothesis regarding the diet direct effect on disorders development [<xref ref-type="bibr" rid="scirp.93242-ref7">7</xref>] . The Mediterranean diet recommends a sufficient intake of whole grains, vegetables, fruit and fish, olive oil, and a reduced intake of red meat and high fat dairy products in order to reduce the risk of diseases [<xref ref-type="bibr" rid="scirp.93242-ref8">8</xref>] . In addition, some nutrients have been reported to reduce the risk of inflammation, among them complex carbohydrates [<xref ref-type="bibr" rid="scirp.93242-ref9">9</xref>] , polyunsaturated fatty acid [<xref ref-type="bibr" rid="scirp.93242-ref10">10</xref>] , dietary fiber [<xref ref-type="bibr" rid="scirp.93242-ref11">11</xref>] , vitamin E [<xref ref-type="bibr" rid="scirp.93242-ref12">12</xref>] and vitamin C [<xref ref-type="bibr" rid="scirp.93242-ref13">13</xref>] . In contrast, the modern dietary habit, referred as Western Diet, which is rich in refined carbohydrates, saturated fats, and sweetened beverages [<xref ref-type="bibr" rid="scirp.93242-ref14">14</xref>] could increase the risk of chronic diseases and mortality, and leads to a life quality impairment due to the proinflammatory effect of these nutrients [<xref ref-type="bibr" rid="scirp.93242-ref15">15</xref>] . These reports show that dietary quality may be a key factor for the prevention and/or development of diseases, becoming an emergent health topic that deserves to be investigated.</p><p>The association between obesity and the development of diseases due to the adipose tissue dysfunction is well characterized [<xref ref-type="bibr" rid="scirp.93242-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.93242-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.93242-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.93242-ref19">19</xref>] . However, since the rates of chronic diseases are increasing also in non-obese individuals [<xref ref-type="bibr" rid="scirp.93242-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.93242-ref21">21</xref>] , to clarify the direct effect of nutrients on these illnesses will allow future interventions. The aim of this study was to evaluate the impact of high sugar-fat diet in the development of metabolic-inflammatory disorders in non-obese animals.</p></sec><sec id="s2"><title>2. Methods</title><sec id="s2_1"><title>2.1. Animals and Experimental Protocol</title><p>All the experiments and procedures were approved by the Animal Ethics Committee from Botucatu Medical School (1233/2017) and performed in accordance with the National Institute of Health’s Guide for the Care and Use of Laboratory Animals [<xref ref-type="bibr" rid="scirp.93242-ref22">22</xref>] . Male Wistar rats (&#177;45 days) were randomly distributed into two experimental groups according to the diet: control (C, n = 8) and high sugar-fat (HSF, n = 27). The diets and water were offered ad libitum for 30 weeks. The C diet contained soybean meal, sorghum, soybean peel, dextrin, soy oil, vitamins, and minerals. The HSF diet contained soybean meal, sorghum, soybean peel, dextrin, sucrose, fructose, lard, vitamins, and minerals, plus 25% sucrose in the drinking water (<xref ref-type="table" rid="table1">Table 1</xref>). Both diets were produced according to Francisqueti et al. (2017) [<xref ref-type="bibr" rid="scirp.93242-ref23">23</xref>] . All the animals were kept in a controlled temperature (24˚C &#177; 2˚C) and relative humidity (55% &#177; 5%) environment and in 12 h light-dark cycle.</p></sec><sec id="s2_2"><title>2.2. Groups Characterization and Composition</title><p>At the end of the experiment, a cut-off criterion based on the adiposity index (AI) was established for the group characterization [<xref ref-type="bibr" rid="scirp.93242-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.93242-ref25">25</xref>] . AI represents the fat percentage, which is the most appropriate variable to classify the presence or</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Diet composition and nutritional values</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Components</th><th align="center" valign="middle" >C</th><th align="center" valign="middle" >HSF</th></tr></thead><tr><td align="center" valign="middle" >Soybean meal (g/kg)</td><td align="center" valign="middle" >335</td><td align="center" valign="middle" >340</td></tr><tr><td align="center" valign="middle" >Sorghum (g/kg)</td><td align="center" valign="middle" >278</td><td align="center" valign="middle" >80</td></tr><tr><td align="center" valign="middle" >Soy hulls (g/kg)</td><td align="center" valign="middle" >188</td><td align="center" valign="middle" >116</td></tr><tr><td align="center" valign="middle" >Dextrin (g/kg)</td><td align="center" valign="middle" >146</td><td align="center" valign="middle" >20</td></tr><tr><td align="center" valign="middle" >Sucrose (g/kg)</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >80</td></tr><tr><td align="center" valign="middle" >Fructose (g/kg)</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >180</td></tr><tr><td align="center" valign="middle" >Soybean oil (g/kg)</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Lard (g/kg)</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >154</td></tr><tr><td align="center" valign="middle" >Minerals (g/kg)</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >25</td></tr><tr><td align="center" valign="middle" >Salt (g/kg)</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >8</td></tr><tr><td align="center" valign="middle" >Nutritional values</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Protein (% of ingredients)</td><td align="center" valign="middle" >20.0</td><td align="center" valign="middle" >18.0</td></tr><tr><td align="center" valign="middle" >Carbohydrate (% of ingredients)</td><td align="center" valign="middle" >60.0</td><td align="center" valign="middle" >53.5</td></tr><tr><td align="center" valign="middle" >Fat (% of ingredients)</td><td align="center" valign="middle" >4.00</td><td align="center" valign="middle" >16.5</td></tr><tr><td align="center" valign="middle" >% of unsatured</td><td align="center" valign="middle" >69.0</td><td align="center" valign="middle" >47.0</td></tr><tr><td align="center" valign="middle" >% of saturated</td><td align="center" valign="middle" >31.0</td><td align="center" valign="middle" >53.0</td></tr><tr><td align="center" valign="middle" >% Energy from protein</td><td align="center" valign="middle" >22.9</td><td align="center" valign="middle" >16.6</td></tr><tr><td align="center" valign="middle" >% Energy from carbohydrate</td><td align="center" valign="middle" >66.8</td><td align="center" valign="middle" >49.2</td></tr><tr><td align="center" valign="middle" >% Energy from fat</td><td align="center" valign="middle" >10.4</td><td align="center" valign="middle" >34.2</td></tr><tr><td align="center" valign="middle" >Energy (kcal/g)</td><td align="center" valign="middle" >3.59</td><td align="center" valign="middle" >4.35</td></tr></tbody></table></table-wrap><p>C: Control; HSF: High sugar-fat. Values do not consider water plus sucrose.</p><p>not of obesity in experimental models. Since the aim of this study was to evaluate animals submitted to HSF diet that did not become obese, this variable was used to exclude obese animals. A 95% confidence interval (CI) was used for the average of the adiposity index and the separation point (SP) was the midpoint between the upper limit of the C group and the lower limit of the HSF group (SP = 4.58). The animals with AI above the SP were excluded. The final composition of the groups analyzed in this study was the following: group C, n = 7 and group HSF, n = 8.</p></sec><sec id="s2_3"><title>2.3. Biological Material and Euthanasia</title><p>At the 30th week, preceding euthanasia, 24 hours urine samples were collected and the total volume of diuresis was measured. Subsequently all the samples were centrifuged (3000 rpm at 4˚C for 10 minutes; Eppendorf&#174; Centrifuge 5804-R, Hamburg, Germany), aliquoted and stored at −80˚C. At the end of 30 weeks, the animals were fasted for 8 hours and then anesthetized with Xylazine (1 mg/kg, i.p.) and Ketamine (100 mg/kg, i.p.) (Syntec, Rhobifarma Ind&#250;stria Farmac&#234;utica Ltda., Hortol&#226;ndia, S&#227;o Paulo, Brazil) and euthanized by decaptation after foot reflex verification. Blood samples were collected in conic plastic tubes of 15 mL containing the anticoagulant, ethylenediaminetetraacetic acid (EDTA) in the proportion of 0.1 mL for each 5 mL of blood, followed by centrifugation (3000 rpm at 4˚C for 10 minutes, Eppendorf&#174; Centrifuge 5804-R, Hamburg, Germany) to obtain plasma. The epididymal, retroperitoneal and visceral fat deposits were dissected and weighed. The epididymal deposit was stored in sterile cryotubes (Alfa Ltda-EPP, Ipiranga, S&#227;o Paulo, Brazil). The collected materials were stored at −80˚C until the analysis.</p></sec><sec id="s2_4"><title>2.4. Nutritional Status and Body Composition</title><p>The nutritional status was evaluated by dietary efficiency, and chow, water and caloric intake. Food and water intake were daily calculated from the individual leftovers of each animal. Caloric intake was determined by multiplying the energy value of each diet (g &#215; Kcal) by the daily food consumption. For the HSF group, the caloric intake also included the calories from drinking water. In order to analyze the capacity to convert the ingested energy in body weight, the dietary efficiency was calculated by dividing the total gain of body weight by the total energy ingested. Weight gain (WG) was calculated by the final body weight (FBW) minus the initial body weight (IBW). After the experimental period, the deposits of retroperitoneal, visceral and epididymal fat were dissected and weighted and the AI (%) was calculated by summing the weight of the deposits divided by body weight and multiplied by 100, giving the result in percentage of fat [<xref ref-type="bibr" rid="scirp.93242-ref26">26</xref>] .</p></sec><sec id="s2_5"><title>2.5. Metabolic and Hormonal Profile</title><p>To evaluate the disorders leaded by the diet, it was analyzed the following parameters:</p><sec id="s2_5_1"><title>2.5.1. Metabolic</title><p>Plasma glucose, triglycerides, uric acid, (BioClin, Quibasa Qu&#237;mica B&#225;sica Ltda., Belo Horizonte, Minas Gerais, Brazil); albuminuria, proteinuria and creatinine urinary (CELM&#174;, Barueri, S&#227;o Paulo, Brazil) were measured by colorimetric-enzymatic method in automatic enzymatic analyzer system (Chemistry Analyzer BS-200, MindrayMedical International Limited, Shenzhen, China). Protein and creatinine urinary were measured to obtain protein/creatinine ratio [<xref ref-type="bibr" rid="scirp.93242-ref27">27</xref>] .</p></sec><sec id="s2_5_2"><title>2.5.2. Hormonal</title><p>Insulin, adiponectin (EMD Millipore Corporation, Billerica, MA, USA) and leptin (Crystal Chem, Elk Grove Village, IL, USA) were analyzed in plasma by ELISA. The readings were performed on Spectra Max 190 microplate reader (Molecular Devices&#174;, Sunnyvale, CA, USA). The Homeostatic Model Assessment for Insulin Resistance (HOMA-IR), which allows to evaluate the insulin resistance, was calculated according to the following formula [<xref ref-type="bibr" rid="scirp.93242-ref28">28</xref>] :</p><p>fasting insulin (μUI/mL) &#215; fasting glucose (mmol/L)/22.5</p></sec></sec><sec id="s2_6"><title>2.6. Adipose Tissue Inflammation</title><p>The analyzes were performed in the epididymal adipose tissue once it reflects the visceral adipose tissue behavior [<xref ref-type="bibr" rid="scirp.93242-ref29">29</xref>] . The tissue samples were homogenized in phosphate-buffered saline (PBS) at 1:10 (sample: buffer) and the supernatant was used to measure the IL-6 and TNF-α cytokines levels by ELISA (EMD Millipore Corporation, Billerica, MA, USA). Readings were performed on Spectra Max 190 microplate reader (Molecular Devices&#174;, Sunnyvale, CA, USA). Total proteins (BioClin, Quibasa Qu&#237;mica B&#225;sica Ltda., Belo Horizonte, Minas Gerais, Brazil) were measured in the supernatant by a colorimetric-enzymatic method and analyzed in automatic enzymatic analyzer system (Chemistry Analyzer BS-200, MindrayMedical International Limited, Shenzhen, China). The results are expressed in pg/g of protein.</p></sec><sec id="s2_7"><title>2.7. Statistical Analysis</title><p>Parametric data are presented as means &#177; standard deviation and compared by Student’s t test. Non-parametric data are presented as median (interquatile range) and compared by Mann-Whitney U test. The software used was Sigma Plot version 12.0 for Windows (Systat Software Inc., San Jose, CA, United States). A p value &lt; 0.05 was considered as statistically significant.</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Nutritional Status and Body Composition</title><p><xref ref-type="table" rid="table2">Table 2</xref> shows the nutritional status and body composition of the animals. The chow intake was lower in HSF group accompanied by higher water intake. There was no difference in the caloric intake between the groups and the dietary efficiency was decreased in HSF group. The final body weight and weight gain</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Nutritional status and body composition</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Parameters</th><th align="center" valign="middle" >C</th><th align="center" valign="middle" >HSF</th><th align="center" valign="middle" >p value</th></tr></thead><tr><td align="center" valign="middle" >Chow intake (g/day)</td><td align="center" valign="middle" >24.0 (22.6 - 27.8)</td><td align="center" valign="middle" >8.52 (7.83 - 9.59)</td><td align="center" valign="middle" >p &lt; 0.001*</td></tr><tr><td align="center" valign="middle" >Water intake (mL/day)</td><td align="center" valign="middle" >36.0 &#177; 5.47</td><td align="center" valign="middle" >50.0 &#177; 5.98</td><td align="center" valign="middle" >p &lt; 0.001*</td></tr><tr><td align="center" valign="middle" >Calori intake (kcal/day)</td><td align="center" valign="middle" >88.9 &#177; 9.51</td><td align="center" valign="middle" >86.3 &#177; 7.39</td><td align="center" valign="middle" >p = 0.691</td></tr><tr><td align="center" valign="middle" >Dietary efficiency (g/kcal)</td><td align="center" valign="middle" >0.016 &#177; 0.00</td><td align="center" valign="middle" >0.012 &#177; 0.00</td><td align="center" valign="middle" >p &lt; 0.001*</td></tr><tr><td align="center" valign="middle" >IBW (g)</td><td align="center" valign="middle" >183 &#177; 13.9</td><td align="center" valign="middle" >171 &#177; 9.38</td><td align="center" valign="middle" >p = 0.084</td></tr><tr><td align="center" valign="middle" >FBW (g)</td><td align="center" valign="middle" >492 &#177; 54</td><td align="center" valign="middle" >405 &#177; 30</td><td align="center" valign="middle" >p = 0.002*</td></tr><tr><td align="center" valign="middle" >WG (g)</td><td align="center" valign="middle" >302 &#177; 53.0</td><td align="center" valign="middle" >231 &#177; 37.5</td><td align="center" valign="middle" >p = 0.010*</td></tr><tr><td align="center" valign="middle" >TF (g)</td><td align="center" valign="middle" >21.6 &#177; 1.85</td><td align="center" valign="middle" >19.3 &#177; 2.5</td><td align="center" valign="middle" >p = 0.095</td></tr><tr><td align="center" valign="middle" >VAT (g)</td><td align="center" valign="middle" >4.94 &#177; 1.06</td><td align="center" valign="middle" >4.69 &#177; 0.69</td><td align="center" valign="middle" >p = 0.596</td></tr><tr><td align="center" valign="middle" >EAT (g)</td><td align="center" valign="middle" >8.05 &#177; 0.91</td><td align="center" valign="middle" >5.93 &#177; 1.34</td><td align="center" valign="middle" >p = 0.006*</td></tr><tr><td align="center" valign="middle" >RAT (g)</td><td align="center" valign="middle" >8.58 &#177; 1.15</td><td align="center" valign="middle" >8.77 &#177; 1.39</td><td align="center" valign="middle" >p = 0.787</td></tr><tr><td align="center" valign="middle" >AI (%)</td><td align="center" valign="middle" >4.46 &#177; 0.36</td><td align="center" valign="middle" >4.79 &#177; 0.43</td><td align="center" valign="middle" >p = 0.142</td></tr></tbody></table></table-wrap><p>C: control; HSF: high sugar-fat; IBW: initial body weight; FBW: final body weight; WG: weight gain; TF: total fat; VAT: visceral adipose tissue; EAT: epididymal adipose tissue; RAT: retroperitoneal adipose tissue; AI: adiposity index. Data are presented as means &#177; standard deviation or as median (interquartile range). * indicates p &lt; 0.05.</p><p>were lower in the HSF group and there was no difference in the adiposity index between the groups.</p></sec><sec id="s3_2"><title>3.2. Metabolic and Hormonal Profile</title><p>The HSF diet induced hyperglycemia and hyperinsulinemia; however, there was no difference for HOMA-IR between the groups (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Triglycerides and uric acid (<xref ref-type="fig" rid="fig2">Figure 2</xref>) were higher in the HSF group as well as adiponectin and leptin levels (<xref ref-type="fig" rid="fig3">Figure 3</xref>).</p></sec><sec id="s3_3"><title>3.3. Adipose Tissue Inflammation</title><p>The HSF group showed increased levels of the proinflammatory cytokines, IL-6 and TNF-α, in adipose tissue (<xref ref-type="fig" rid="fig4">Figure 4</xref>).</p></sec><sec id="s3_4"><title>3.4. Renal Injury</title><p>The urinary protein-creatinine ratio and albuminuria were higher in the HSF group (<xref ref-type="fig" rid="fig5">Figure 5</xref>).</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>The aim of this study was to evaluate the impact of high sugar-fat diet in the development of metabolic-inflammatory disorders in non-obese animals. The group submitted to HSF diet presented relevant metabolic, hormonal and inflammatory changes usually found in obesity and associated with increased adiposity [<xref ref-type="bibr" rid="scirp.93242-ref30">30</xref>] . According to the literature, the major risk factor for the obesity and obesity-related disorders development is the intake of processed foods rich in</p><p>sugars and fats [<xref ref-type="bibr" rid="scirp.93242-ref5">5</xref>] . However, once in this study the HSF group presented adiposity index similar to C group, all the disorders were independent of adiposity gain.</p><p>One of the consequences of the chronic high sugar-fat diet intake is the occurrence of insulin resistance, which favors the onset of type II Diabetes Mellitus [<xref ref-type="bibr" rid="scirp.93242-ref30">30</xref>] . Although HSF group did not present difference in HOMA-IR index, the animals presented high levels of glucose and insulin compared to C group, which indicates impairment in carbohydrates metabolism. The sugar intake leads to an increase in the insulin levels, hormone responsible by the glucose absorption by tissues [<xref ref-type="bibr" rid="scirp.93242-ref31">31</xref>] . Hyperinsulinemia stimulates and increase the leptin secretion by the adipose tissue through PI3K/Akt/mTOR pathway [<xref ref-type="bibr" rid="scirp.93242-ref32">32</xref>] , leading to a decrease in the appetite and an increase in the energy expenditure [<xref ref-type="bibr" rid="scirp.93242-ref33">33</xref>] . In agreement with this finding, the groups presented the same caloric intake; however, the HSF group showed lower chow intake, dietary efficiency, and body weight with no increased adiposity index, confirming the leptin effects.</p><p>Hypertriglyceridemia and hyperuricemia were also observed in the HSF group as consequence of the diet. High triglycerides levels can be leaded directly by two diet components: 1) the lard, which is composed mostly of saturated and monounsaturated fatty acids [<xref ref-type="bibr" rid="scirp.93242-ref34">34</xref>] , whose ingestion is associated with elevated plasma levels of triglycerides [<xref ref-type="bibr" rid="scirp.93242-ref35">35</xref>] ; 2) the fructose, a simple carbohydrate found in sucrose [<xref ref-type="bibr" rid="scirp.93242-ref36">36</xref>] of drinking water and also in the chow. Fructose is absorbed in the intestine through the portal vein and metabolized in the liver, following different metabolic pathways to generate energy substrates such as glucose, glycogen, lactate and fatty acids. In opposition to glucose, fructose breakdown is not regulated by the main glycolysis limiting step at the phosphofructokinase level, acting as a substrate for new hepatic lipogenesis and lipid production, which can also explain the hypertriglyceridemia [<xref ref-type="bibr" rid="scirp.93242-ref37">37</xref>] [<xref ref-type="bibr" rid="scirp.93242-ref38">38</xref>] . Moreover, uric acid can be originated from one of the fructose degradation pathways and the excessive intake of this sugar leads to hyperuricemia [<xref ref-type="bibr" rid="scirp.93242-ref37">37</xref>] , considered a biomarker of some cardiovascular and renal diseases [<xref ref-type="bibr" rid="scirp.93242-ref39">39</xref>] [<xref ref-type="bibr" rid="scirp.93242-ref40">40</xref>] .</p><p>In addition to the metabolic and hormonal changes, the diet was also able to increase the proinflammatory cytokines levels in the adipose tissue. Adipose tissue inflammation has been suggested to exert a central role in the physiopathology of many obesity-related disorders, as insulin resistance and type II Diabetes Mellitus [<xref ref-type="bibr" rid="scirp.93242-ref41">41</xref>] . Adipocyte hypertrophy in obesity is an important source for the development of adipose tissue inflammation [<xref ref-type="bibr" rid="scirp.93242-ref42">42</xref>] . Since the HSF group did not present difference in adiposity index compared to C group, the inflammation in adipose tissue can be explained by the high leptin levels, once this hormone can upregulate the secretion of inflammatory cytokines, such as TNF-α and IL-6 [<xref ref-type="bibr" rid="scirp.93242-ref43">43</xref>] [<xref ref-type="bibr" rid="scirp.93242-ref44">44</xref>] . Moreover, these cytokines induce leptin expression in adipose tissue favoring a proinflammatory scenario [<xref ref-type="bibr" rid="scirp.93242-ref43">43</xref>] , in a feedback loop.</p><p>Adiponectin level was increased in the HSF group, an unexpected result. The literature reports a negative correlation between adiponectin levels and the increase in adipose mass [<xref ref-type="bibr" rid="scirp.93242-ref45">45</xref>] [<xref ref-type="bibr" rid="scirp.93242-ref46">46</xref>] [<xref ref-type="bibr" rid="scirp.93242-ref47">47</xref>] . A possible explanation for this result in the present study was described by Westerink et al., (2014), showing that this adiponectin elevation is an early anti-inflammatory response due to diet quality [<xref ref-type="bibr" rid="scirp.93242-ref48">48</xref>] . Another explanation for the high adiponectin levels is the impairment in kidney disease, once this hormone is excreted via kidney filtration [<xref ref-type="bibr" rid="scirp.93242-ref49">49</xref>] and the HSF animals showed impairment in the renal function.</p><p>The renal impairment was characterized in HSF group by the increased protein/creatinine ratio and albuminuria. Total proteinuria (represented by the protein/creatinine ratio) and albuminuria are important markers of kidney damage used as prognostic indicators in patients with chronic kidney disease [<xref ref-type="bibr" rid="scirp.93242-ref50">50</xref>] . Moreover, albuminuria is likely a reflection of early damage to the glomerular vascular endothelium as well as decreased ability of the tubule to reabsorb urinary albumin [<xref ref-type="bibr" rid="scirp.93242-ref51">51</xref>] . Urinary measurement of total proteinuria includes higher molecular weight non-albumin urinary proteins as well, which may be tubular as well as glomerular in origin [<xref ref-type="bibr" rid="scirp.93242-ref52">52</xref>] . The changes in the renal function may be associated with the proinflammatory cytokines in adipose tissue, once these cytokines are able to reach the circulation and other organs (as kidneys), leading to a local inflammation, contributing to renal damage, fibrosis and renal chronic disease development [<xref ref-type="bibr" rid="scirp.93242-ref53">53</xref>] [<xref ref-type="bibr" rid="scirp.93242-ref54">54</xref>] . Another factor involved in the renal impairment is the increase of leptin, which induces the synthesis of type 1 collagen in mesangial cells, as well as type 4 collagen in glomerular endothelial cells contributing to extracellular matrix deposition, glomerulosclerosis, and proteinuria [<xref ref-type="bibr" rid="scirp.93242-ref55">55</xref>] [<xref ref-type="bibr" rid="scirp.93242-ref56">56</xref>] [<xref ref-type="bibr" rid="scirp.93242-ref57">57</xref>] . High insulin levels, also found in this experiment, interfere with mechanisms of renal injury, such as increased sympathetic activity and renal sodium reabsorption and potentiation of vascular response to angiotensin II and aldosterone [<xref ref-type="bibr" rid="scirp.93242-ref58">58</xref>] .</p></sec><sec id="s5"><title>5. Conclusions</title><p>In summary, the HSF diet leaded to an increase of glucose, triglycerides, insulin, leptin and uric acid. Moreover, the diet promoted inflammation in adipose tissue and the impairment of renal function. This was a cause-and-effect study, and it did not evaluate the mechanisms by which the alterations independent of obesity occurred; however this work could support future studies that clarify these mechanisms and that allow future interventions.</p><p>Based on these results, it is possible to conclude that the HSF diet intake is directly involved in the development of metabolic-inflammatory disorders independent of obesity, dissociating the view that increased adiposity is the major risk factor for complications commonly found in obese individuals.</p></sec><sec id="s6"><title>Acknowledgements</title><p>Unidade de Pesquisa Experimental da Faculdade de Medicina de Botucatu-UNESP (UNIPEX), unit where the research was developed and the grants 2015/10626-0 and 2018/15294-3, S&#227;o Paulo Research Foundation (FAPESP). The authors declare no conflict of interesting.</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s8"><title>Cite this paper</title><p>Garcia, J.L., Francisqueti, F.V., da Costa Rodrigues Ferraz, A.P., Ferron, A.J.T., Costa, M.R., Gregolin, C.S., de Campos, D.H.S., dos Santos, K.C., Minatel, I.O. and Corr&#234;a, C.R. (2019) High Sugar-Fat Diet Induces Metabolic-Inflammatory Disorders Independent of Obesity Development. Food and Nutrition Sciences, 10, 664-677. https://doi.org/10.4236/fns.2019.106049</p></sec></body><back><ref-list><title>References</title><ref id="scirp.93242-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Renner, S., Blutke, A., Dobenecker, B., Dhom, G., Müller, T.D., Finan, B., et al. (2018) Metabolic Syndrome and Extensive Adipose Tissue Inflammation in Morbidly Obese G&amp;#246;ttingen Minipigs. 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