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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2022.777129</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Ameliorative Effect of Oxytocin on <italic>FBN1</italic> and <italic>PEPCK</italic> Gene Expression, and Behavioral Patterns in Rats&#x00027; Obesity-Induced Diabetes</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Elnagar</surname> <given-names>Asmaa</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/932676/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>El-Dawy</surname> <given-names>Khalifa</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>El-Belbasi</surname> <given-names>Hussein I.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Rehan</surname> <given-names>Ibrahim F.</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/859704/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Embark</surname> <given-names>Hamdy</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Al-Amgad</surname> <given-names>Zeinab</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Shanab</surname> <given-names>Obeid</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/914756/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Mickdam</surname> <given-names>Elsayed</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1651581/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Batiha</surname> <given-names>Gaber E.</given-names></name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Alamery</surname> <given-names>Salman</given-names></name>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Fouad</surname> <given-names>Samer S.</given-names></name>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Cavalu</surname> <given-names>Simona</given-names></name>
<xref ref-type="aff" rid="aff10"><sup>10</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Youssef</surname> <given-names>Mohammed</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/914639/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Biochemistry, Faculty of Veterinary Medicine, Zagazig University</institution>, <addr-line>Zagazig</addr-line>, <country>Egypt</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Husbandry and Development of Animal Wealth, Faculty of Veterinary Medicine, Menofia University</institution>, <addr-line>Shebin Alkom</addr-line>, <country>Egypt</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Physiology, Faculty of Veterinary Medicine, South Valley University</institution>, <addr-line>Qena</addr-line>, <country>Egypt</country></aff>
<aff id="aff4"><sup>4</sup><institution>General Authority for Veterinary Services, Ph.D in Veterinary Pathology and Clinical Pathology, Faculty of Veterinary Medicine, South Valley University</institution>, <addr-line>Qena</addr-line>, <country>Egypt</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of Biochemistry, Faculty of Veterinary Medicine, South Valley University</institution>, <addr-line>Qena</addr-line>, <country>Egypt</country></aff>
<aff id="aff6"><sup>6</sup><institution>Department of Nutrition and Clinical Nutrition, Faculty of Veterinary Medicine, South Valley University</institution>, <addr-line>Qena</addr-line>, <country>Egypt</country></aff>
<aff id="aff7"><sup>7</sup><institution>Department of Pharmacology and Therapeutics, Faculty of Veterinary Medicine, Damanhour University</institution>, <addr-line>Damanhour</addr-line>, <country>Egypt</country></aff>
<aff id="aff8"><sup>8</sup><institution>Department of Biochemistry, College of Science, King Saud University</institution>, <addr-line>Riyadh</addr-line>, <country>Saudi Arabia</country></aff>
<aff id="aff9"><sup>9</sup><institution>Qena University Hospital, Ph.D in Veterinary Clinical Pathology, South Valley University</institution>, <addr-line>Qena</addr-line>, <country>Egypt</country></aff>
<aff id="aff10"><sup>10</sup><institution>Department of Pharmacy, Faculty of Medicine and Pharmacy, University of Oradea</institution>, <addr-line>Oradea</addr-line>, <country>Romania</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Xiang Zhang, Shandong University, China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Guangyong Zhang, The First Affiliated Hospital of Shandong First Medical University, China; Zhi-qiang Cheng, Shandong University, China</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Ibrahim F. Rehan <email>ibrahim.rehan&#x00040;vet.menofia.edu.eg</email></corresp>
<corresp id="c002">Mohammed Youssef <email>mohamed.saleh&#x00040;vet.svu.edu.eg</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Clinical Diabetes, a section of the journal Frontiers in Public Health</p></fn></author-notes>
<pub-date pub-type="epub">
<day>07</day>
<month>04</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>10</volume>
<elocation-id>777129</elocation-id>
<history>
<date date-type="received">
<day>14</day>
<month>09</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>01</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2022 Elnagar, El-Dawy, El-Belbasi, Rehan, Embark, Al-Amgad, Shanab, Mickdam, Batiha, Alamery, Fouad, Cavalu and Youssef.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Elnagar, El-Dawy, El-Belbasi, Rehan, Embark, Al-Amgad, Shanab, Mickdam, Batiha, Alamery, Fouad, Cavalu and Youssef</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license> </permissions>
<abstract>
<p>Amelioration of hyperinsulinemia and insulin resistance associated with obesity is a cardinal target for therapeutics. Therefore, we investigated the relation of <italic>Fibrilln-1</italic> (<italic>FBN1) mRNA</italic> expression and hepatic <italic>phosphoenolpyruvate caboxykinase</italic> (<italic>PEPCK</italic>) enzyme to the ameliorative impact of oxytocin on obesity-induced diabetes, suggesting glycogenolysis markers in diabetic models. Four groups of forty male Wistar rats were formed (<italic>n</italic> = 10): a control group fed basal diet and <italic>intra</italic>peritoneal injections of saline; an oxytocin-injected group; a diet-induced obese group fed a high-fat/high-sugar diet and injected with saline; a diet-induced obese group injected with oxytocin. Depending on blood glucose levels, obese groups were further sub-grouped into prediabetic, and diabetic rats, with 5 rats each, at the ninth and the 16th week of the feeding period, respectively. <italic>FBN1</italic> expression and <italic>PEPCK</italic> activity were determined using the <italic>qPCR</italic> technique and some biochemical parameters (glycemic, lipid profile, kidney, and liver functions) were determined using kits. Obese groups showed an elevation of brain <italic>FBN1</italic> expression, high serum lipid profile, high glucose level, and a deleterious impact on liver and kidney functions. Obese groups showed the stimulator effect of the <italic>PEPCK</italic> enzyme and time-dependent pathological changes in renal and hepatic tissues. The motor activities were negatively correlated with <italic>FBN1</italic> gene expression in prediabetic and diabetic rats. In addition to our previous review of the crucial role of asprosin, here we showed that oxytocin could ameliorate obesity-induced diabetes and decrease <italic>FBN1</italic> gene expression centrally to block appetite. Oxytocin caused decreases in <italic>PEPCK</italic> enzyme activity as well as glycogenolysis in the liver. Therefore, oxytocin has a potential effect on <italic>FBN1</italic> expression and <italic>PEPCK</italic> enzyme activity in the obesity-induced diabetic-rat model.</p></abstract>
<kwd-group>
<kwd>asprosin</kwd>
<kwd><italic>FBN1</italic></kwd>
<kwd><italic>PEPCK</italic></kwd>
<kwd>diabetes</kwd>
<kwd>motor activity</kwd>
</kwd-group>
<counts>
<fig-count count="7"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="73"/>
<page-count count="18"/>
<word-count count="13031"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Type 2 diabetes mellitus (T2DM) influences the death toll among diabetic patients with pathological complications. Reports have shown that diabetes will show more prevalence as a major health concern in the next few decades (<xref ref-type="bibr" rid="B1">1</xref>). Thus, the introduction of new diagnostic biomarkers is crucial for effective therapy. Obesity has been linked to the development of T2DM, which is associated with insulin resistance and hyperinsulinemia (<xref ref-type="bibr" rid="B2">2</xref>). Recently, a newly discovered glucogenic hormone &#x0201C;asprosin&#x0201D; was enriched in white adipose tissue (WAT) and encoded by <italic>Fibrillin1</italic> gene (<italic>FBN1</italic>) (<xref ref-type="bibr" rid="B3">3</xref>). Asprosin consists of 140 amino acids it is a result of <italic>profibrillin</italic>-1&#x00027;s <italic>C</italic>-terminal cleavage via the activation of the <italic>protease furin</italic>. <italic>FBN1 mRNA</italic> expression showed a high level in WAT of humans and rats, and asprosin level is raised significantly during T2DM and the release of glucose from the liver, which suggests the crucial role of this adipokine in T2DM pathogenesis. It was, however, much lower in neonatal patients and Marfan Progeroid Syndrome because of a truncated mutation in the <italic>FBN1</italic> gene, meaning they had a limited appetite and were extremely thin (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>There are two possible pathways of asprosin releasers to regulate body homeostasis; the first binds to the hepatocyte surface to initiate hepatic glucose release during glycogenolysis into the bloodstream, via G protein and cyclic adenosine monophosphate (cAMP)-dependent protein kinase A (PKA) axis pathway (<xref ref-type="bibr" rid="B4">4</xref>). Moreover, the second pathway is achieved through the crossing of circulatory asprosin through the blood-brain barrier and activation of orexigenic (AgRP<sup>&#x0002B;</sup>) neurons across a cAMP-dependant pathway, and inhibition of anorexigenic, Pro-opiomelanocortin<sup>&#x0002B;</sup> (POMC<sup>&#x0002B;</sup>) neurons via a gamma-aminobutyric acid (GABA) dependant manner, leading to stimulation of appetite, gluconeogenesis, and adiposity (<xref ref-type="bibr" rid="B5">5</xref>). The liver thus manufactures glucose through two mechanisms: gluconeogenesis (synthesis of glucose) and glycogenolysis (enzymatic glycogen breakdown catalyzed by <italic>glycogen phosphorylase</italic>). During fasting, asprosin has a biological role <italic>in vivo</italic> because it enhances the liver to release glucose to maintain homeostasis, as well as central appetite stimulation. Asprosin levels are linked to glucose metabolism, obesity, lipid profiles, insulin resistance, renal function, and the functions of &#x003B2;-cells (<xref ref-type="bibr" rid="B6">6</xref>). Hence, T2DM is chronically followed by degeneration of &#x003B2;-cells, and regeneration is needed to cure diabetes.</p>
<p>Multifunctional 9-amino acid neuropeptide hormones and oxytocin synthesized in the hypothalamus share social behaviors including maternal bonding (<xref ref-type="bibr" rid="B7">7</xref>). In this regard, oxytocin has a therapeutic impact in diabetic subjects through induction of insulin secretion (<xref ref-type="bibr" rid="B8">8</xref>) and regeneration of &#x003B2;-cells (<xref ref-type="bibr" rid="B9">9</xref>). Meanwhile, prolonged oxytocin therapy was found to lower blood glucose levels in diabetic rats (<xref ref-type="bibr" rid="B10">10</xref>). In metabolic syndrome individuals with or without prediabetes, oxytocin is linked to glucose intolerance (<xref ref-type="bibr" rid="B11">11</xref>). Oxytocin stimulates glucose absorption in muscle cells, and the existence of oxytocin specific-receptors in the Langerhans of rats has validated its role in insulin and glucagon release (<xref ref-type="bibr" rid="B12">12</xref>). Both asprosin and glucagon hormones prevent blood glucose levels from lowering and therefore stimulate liver glycogenolysis. Additionally, the influence of oxytocin on insulin secretion is regulated centrally through vagal cholinergic neurons, which innervate &#x000DF;-cells, and peripherally through inducing the activities of <italic>phosphoinositide</italic> and <italic>protein kinase C</italic> in &#x000DF;-cells (<xref ref-type="bibr" rid="B13">13</xref>).</p>
<p>It has been noted that the treatment of asprosin exerts no impact on the levels of glucogenic hormones (<xref ref-type="bibr" rid="B14">14</xref>). It is also commonly known that the glucogenic effects of glucagon can also be achieved through activating the G protein-cAMP-PKA axis; inhibiting the receptor of glucagon, however, has no impact on the asprosin glucogenic influences on hepatocytes. This indicates asprosin plays a relatively independent role in promoting glucose release. As for appetite mediating effects, a study by the same team demonstrated the link between asprosin and ghrelin, a well-known orexigenic hormone released from the stomach. The findings revealed that a fractional overlapping subset of AgRP<sup>&#x0002B;</sup> neurons could be activated by both asprosin and ghrelin. Furthermore, the deficiency of asprosin resulted in the reduced ability of ghrelin to activate AgRP<sup>&#x0002B;</sup> neurons.</p>
<p>The Ghrelin receptor, on the other hand, is dispensable for the ability of asprosin to activate AgRP<sup>&#x0002B;</sup> neurons. Oxytocin reduces body weight growth while increasing motor activity (<xref ref-type="bibr" rid="B15">15</xref>) by enhancement of lipolysis, and fatty acids &#x003B2;-oxidation. This is most likely due to increased acute insulin production, which aids glucose mobilization across cell membranes and subsequently decreases blood glucose levels. To prove oxytocin&#x00027;s value as a therapeutic target, it is necessary to clarify whether oxytocin can boost the first phase of insulin secretion in the initial stage of diabetes (<xref ref-type="bibr" rid="B9">9</xref>). Also, insulin enhances glycogen synthesis and blocks gluconeogenesis and glycogenolysis through <italic>post</italic>-translational modification of <italic>phosphoenolpyruvate carboxykinase</italic> (<italic>PEPCK</italic>) enzyme and its gene expression (<xref ref-type="bibr" rid="B16">16</xref>). Therefore, the conversion of <italic>oxaloacetate</italic> to <italic>phosphoenolpyruvate</italic> is catalyzed by such potential effect of the <italic>PEPCK</italic> enzyme in order to regulate the glucose level through glycogenolysis in diabetic patients (<xref ref-type="bibr" rid="B17">17</xref>). On a behavioral basis, oxytocin modulates neuroendocrine reflexes for the regulation of learning and memory.</p>
<p>For the present study, we hypothesized that the potential impact of oxytocin on glucose level and insulin might be mediated by <italic>FBN1</italic> expression and <italic>PEPCK</italic> enzymatic activities in obese diabetic rats. Therefore, this evaluated the effect of oxytocin administration on some biochemical parameters, molecular, pathological, and motor activity profiles of diabetic rats, in relation to <italic>FBN1</italic> gene expression.</p>
</sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and Methods</title>
<sec>
<title>Animal Management</title>
<p>This study used forty-mature male Wistar rats weighing an average of 260 &#x000B1; 19.2 g and aged 7&#x02013;8 weeks. They were obtained from the Faculty of Veterinary Medicine, Sohag University, Sohag, Egypt. Animals were acclimatized for 14 days in a laboratory before the beginning of the experiment. They were kept at room temperature with a normal 12 Light/12 Dark cycle and a free source of food and drink. All animals were carefully managed and reared during optimal weather conditions in addition to ensuring a low-stress environment to maximize their welfare.</p>
</sec>
<sec>
<title>Study Design</title>
<p>After 2 weeks from adaptation, the experimental design involved four groups (10 rats each), as follows:</p>
<list list-type="bullet">
<list-item><p>Group A; the control group was given a standard diet with an <italic>intra</italic>peritoneal injection of saline (Control).</p></list-item>
<list-item><p>Group B; were given a standard diet and injected with oxytocin (Control &#x0002B; OX).</p></list-item>
<list-item><p>Group C; were given a high-fat high sugar diet (HFHSD), and injected with saline.</p>
<list list-type="simple">
<list-item><p>&#x000B0; Group C1: (Prediabetic &#x0002B; saline).</p></list-item>
<list-item><p>&#x000B0; Group C2: (Diabetic &#x0002B; saline).</p></list-item></list></list-item>
<list-item><p>Group D; were given HFHSD and injected with oxytocin &#x0201C;OX&#x0201D;.</p>
<list list-type="simple">
<list-item><p>&#x000B0; Group D1: (Prediabetic &#x0002B; OX).</p></list-item>
<list-item><p>&#x000B0; Group D2: (Diabetic &#x0002B; OX).</p></list-item>
</list>
</list-item>
</list>
<p>Depending on glucose level, each treated group of obese rats was further sub-divided into 2 sub-groups with 5 rats as prediabetic and the rest as diabetics. Two types of ration were prepared freshly and daily throughout the experiment; (1) control normal diet, and (2) high-fat high sugar diet (HFHSD). Rats in the control group were given a typical standard diet with no additives, including the following: 22.8% carbohydrates, 25.8 proteins, and 11.4% fat, 12.6 KJ/g in total (<xref ref-type="bibr" rid="B18">18</xref>).</p>
<p>For seven days at the 9th and 16th week of the experiment, 1 mL of saline solution was injected intraperitoneally every day. The composition of HFHSD was as follows: (22.6% carbohydrates including 10% sucrose in drinking water, 16.4% protein, 58% fat &#x0201C;soybean oil or pork fat&#x0201D;), 23.4 KJ/g in total for the period of the experiment. We used oxytocin (syntocinon&#x000AE;, Novartis LTD., 10 IU/mL, 16.7 &#x003BC;g/mL) as a therapeutic hormone of diabetes; twice <italic>intra</italic>-peritoneal injection with oxytocin 2 mg/kg body weight (anti-obesity and anti-diabetes) was given once a day for seven days at night on the 9th and 16th week of the experiment. After the rats were fed the HFHS diet, the 9th week was the expected time of them being prediabetic, while the 16th week was the time of diabetes (<xref ref-type="bibr" rid="B19">19</xref>).</p>
<p>The last dose was divided into two doses: one was at night and the second was on the morning of the end of the 9th and 16th week, for the biochemical analysis. Rats were fasted overnight at the end of the 9th week and the 16th week immediately after the last dose of oxytocin injection. They were then sacrificed through a cervical decapitation while being anesthetized under the effect of ether at the end of the experiment. It is reported that HFHSD induced diabetes in rats after 12 weeks duration (<xref ref-type="bibr" rid="B20">20</xref>). However, we continued the experiment until 16 weeks to ensure the influences of diabetes-associated obesity on the lipid profiles and liver and kidney functions.</p>
</sec>
<sec>
<title>Animals&#x00027; Weights</title>
<p>Before the supplementation of different diets&#x00027; treatment and oxytocin, the initial body weights were recorded for each rat. Afterward, the body weights were taken weekly and the final body weights were taken just before the sacrifice of animals.</p>
</sec>
<sec>
<title>Assessment of Diabetic Condition</title>
<p>Fasting plasma glucose (FPG) level was assessed after the 9th and 16th week of different diets using the glucose oxidase method by Spectrum diagnostic kits (<xref ref-type="bibr" rid="B21">21</xref>). Rats with a glucose level between 105 and 126 mg/dl were considered prediabetic; while diabetic rats were those who had a blood glucose level of more than 126 mg/dl (<xref ref-type="bibr" rid="B22">22</xref>).</p>
</sec>
<sec>
<title>Plasma and Serum Collection</title>
<p>Blood was collected from all rats, and plasma is the liquid that remains when clotting is prevented with the addition of an anticoagulant (0.109 M sodium citrate). Nine parts of freshly collected whole blood should be immediately added to one part of the anticoagulant. Then, the blood was centrifuged at 2,500 &#x000D7; g for 15 min. Separate the plasma using a plastic pipette and place it in a plastic test tube. Perform the Prothrombin Time assay within 4 h which was stored at &#x02212;20&#x000B0;C until used for the estimation of glucose level (mg/dl). Reconstitute the control plasmas (normal control plasma, abnormal control plasma) according to the package insert included with the control.</p>
</sec>
<sec>
<title>Biochemical Analyses</title>
<sec>
<title>Biochemical Colorimetric Assays</title>
<p>The biochemical analyses were performed immediately at the time of sampling collection. Sera were collected and kept after the blood has clotted for creatinine (mg/dl), albumin (g/dl), alanine aminotransferase (ALT) (U/L), aspartate aminotransferase (AST) (U/L), cholesterol (mg/dl), high-density lipoprotein (HDL-c) (mg/dl), low-density lipoprotein (LDL-c) (mg/dl), very low-density lipoprotein (VLDL-c) (mg/dl), and total triacylglycerol (TAG) (mg/dl). Serum LDL-c calculation was determined using Friedewald&#x00027;s formula (<xref ref-type="bibr" rid="B23">23</xref>), as the following equation: Serum LDL-c (mg/dl) = TC (mg/dl)&#x02013;[HDL-c (mg/dl) &#x0002B; TAG (mg/dl)/5], whereas VLDL-c (mg/dl) = TAG/5. All these biochemical parameters were detected using related commercial kits (Spectrum, Egypt), and assays were performed as per the manufacturer&#x00027;s guidelines; insulin resistance can be measured using the homeostatic model assessment of insulin resistance (HOMA-IR). The following equation was used to calculate HOMA-IR: [HOMA-IR = fasting plasma glucose (mg/dl) X fasting insulin (mIU/L)/405) (<xref ref-type="bibr" rid="B24">24</xref>).</p>
</sec>
<sec>
<title>ELISA</title>
<p>As per the manufacturer&#x00027;s guidelines, the serum insulin level was determined using the RAT<sub>(ins)</sub> ELISA kit<sup>TM</sup> (SunRed China, Shanghai), according to the previous method (<xref ref-type="bibr" rid="B24">24</xref>). In a plate with monoclonal insulin antibody pre-coated, biotin-labeled and streptavidin-HRP-combined antibodies were added to serum samples, and the reaction was allowed to run for 60 min at 37&#x000B0;C. The plate was rinsed five times before being exposed to chromogen solutions for 10 min at 37&#x000B0;C. After 10 min, the absorbance was measured after the stop solution was applied. The standard curve&#x00027;s linear regression equation was used to determine an unknown insulin concentration.</p>
</sec>
</sec>
<sec>
<title>Molecular Analyses</title>
<sec>
<title>qPCR and RNA Extraction</title>
<p>GENEzol<sup>TM</sup> reagent (Taiwan, New Taipei) was used to extract <italic>RNA</italic> from tissue samples (<xref ref-type="bibr" rid="B25">25</xref>). Biopsies from the brain and liver (50&#x02013;100 mg each) were homogenized in a few minutes using tissue glass Teflon in 1 ml of GENEzol<sup>TM</sup> reagent, and then the <italic>RNA</italic> aqueous phase was then separated with care using chloroform. Isopropanol was used to precipitate <italic>RNA</italic>, which was then rinsed with 75 percent ethanol. The <italic>RNA</italic> pellet was cleaned and air-dried before being redissolved in DPEC-treated water. Using the Topreal<sup>TM</sup> One-step RT <italic>qPCR</italic> kit, 2 &#x003BC;g <italic>RNA</italic> was reverse-transcribed to <italic>cDNA</italic> and duplicated (Enzynomics, Daejeon, Republic of Korea). The expression of <italic>mRNA</italic> was assessed using the &#x00394;&#x00394;Ct method and represented relatively to <italic>GAPDH</italic> as an endogenous control. The primers (<xref ref-type="bibr" rid="B26">26</xref>) used for qPCR reaction were as follows;</p>
<list list-type="simple">
<list-item><p>&#x000B0; <italic>GAPDH</italic> sense: 5&#x00027;-CAGCAATGCATCCTGCAC-3&#x00027; and antisense: 5&#x00027;-GAGTTGCTGTTGAAGTCACAGG-3&#x00027;. The gene bank accession number is (<ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="XM_017592435.1">XM_017592435.1</ext-link>), the annealing temperature (Ct) is 26.2&#x02013;27.7&#x000B0;C, and the melting temperature is 72&#x02013;73&#x000B0;C.</p></list-item>
<list-item><p>&#x000B0; <italic>Neural FBN1</italic> sense: 5&#x00027;-GAGTGTGAACTGAGCGCGA-3&#x00027; and antisense 5&#x00027;-AGGCACACTCGTACTTCCCA-3&#x00027;. The gene bank accession number is (<ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="NM_000138">NM_000138</ext-link>), the annealing temperature (Ct) is 32.3&#x02013;34.3&#x000B0;C, and the melting temperature is 74.5&#x02013;76&#x000B0;C.</p></list-item>
<list-item><p>&#x000B0; Hepatic <italic>PEPCK</italic> sense: 5&#x00027;-GTCACCATCACTTCCTGGAAGA-3&#x00027; and antisense: 5&#x00027;-GGTGCAGAATCGCGAGTTG-3&#x00027;. The gene bank accession number is (<ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="AH_007109">AH_007109</ext-link>), the annealing temperature (Ct) is 30&#x02013;35.7&#x000B0;C, and the melting temperature is 80&#x02013;80.5&#x000B0;C.</p></list-item>
</list>
</sec>
</sec>
<sec>
<title>Motor Behavior</title>
<p>The motor activities of the rats were assessed using Panlab IR Actimeter Harvard Apparatus (<xref ref-type="bibr" rid="B27">27</xref>). The activity was recorded using transparent boxes supplied by upper and lower two-dimensional square infrared frames. The upper frame is used for recording rearing activity while the lower frame was recording the general activity, locomotor, and stereotypic behavior of rats. The positions of frames were estimated depending on rats&#x00027; size with the upper edge of the lower, and the upper frame was 4 and 14.5 cm high from the box floor, respectively.</p>
</sec>
<sec>
<title>Pathological Analyses</title>
<sec>
<title>Organs Collection</title>
<p>Pancreas, liver, and kidney were dissected from all groups. The dissected organs were followed by fixation in 10% buffered formaldehyde.</p>
</sec>
<sec>
<title>Tissue Preparation and Staining</title>
<sec>
<title>Preparation of Samples</title>
<p>As soon as the animals were sacrificed, the pancreas, liver, and kidney were dissected from all groups. The dissected organs were immediately checked for any gross lesions or macroscopic changes. The dissected organs were fixed in 10% buffered formaldehyde.</p>
</sec>
<sec>
<title>Procedures of Staining and Microscopic Monitoring</title>
<p>After organ fixation in 10% buffered formaldehyde, standard histology techniques were used to process it by running it through various grades of ethyl alcohol (70, 80, 90, and 100 percent). Then, clearance occurred in xylene and was embedded in paraffin wax. Hematoxylin and eosin (HE) were used to stain five-micrometer-thick serial slices for light microscopy (<xref ref-type="bibr" rid="B28">28</xref>).</p>
</sec>
</sec>
</sec>
<sec>
<title>Statistical Analysis</title>
<p>A one-way ANOVA test was used to compare the means of the different groups, followed by Tukey&#x00027;s posthoc test. For importing, modifying, and applying statistical analysis of data, SPSS for statistical computing (<xref ref-type="bibr" rid="B29">29</xref>) was utilized. The results were calculated using the formula [mean &#x0002B; standard error mean (SEM)]. When the <italic>P</italic> &#x0003C; 0.05, the means were judged statistically different. <italic>Pearson&#x00027;s Correlation Coefficients</italic> of biochemical markers and the motor activities of samples with genetic expression were displayed using <italic>GraphPad Prism</italic>.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<p>Diabetic-associated obesity is a metabolic disorder caused by changes in insulin secretion and characterized by persistent hyperglycemia and disturbances in carbohydrate, protein, and lipid metabolism. This study is the first to clarify the influence of the asprosin gene (<italic>FBN1</italic>) and <italic>PEPCK</italic> enzyme activity on diabetic rats and after oxytocin therapy.</p>
<sec>
<title>Rats&#x00027; Body Weights and Glucose Level Before and After Giving Oxytocin Injection</title>
<p>There is a strong relationship between the weights (gm) of rats and the glucose level (mg/ dl) before and/or after oxytocin injection at the 9th week of prediabetics (<xref ref-type="fig" rid="F1">Figure 1A</xref>) and week 16 of diabetics (<xref ref-type="fig" rid="F1">Figure 1B</xref>) after HFHSD comparable to the control Wistars. The bodyweight of prediabetic and diabetic rats increased with significance differences [<italic>P</italic> = 0.006, <italic>P</italic> = 0.001, <italic>F</italic><sub>(3, 36)</sub> = 54.23] compared to controls. The present research confirmed that in the control group injected with oxytocin, the glucose release was reduced significantly [<italic>P</italic> = 0.044 in prediabetics, and <italic>P</italic> = 0.007 in diabetics, <italic>F</italic><sub>(3, 36)</sub> = 29.13] compared to those in the untreated prediabetic group.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Relationship of the weights (gm &#x000B1; SEM) of Wistar rats with the glucose level (mg/dl &#x000B1; SEM) before and after oxytocin injection; <bold>(A)</bold> at 9th week, and <bold>(B)</bold> at 16th week after diet treatments. <sup>a</sup><italic>P</italic> &#x02264; 0.05 and <sup>b</sup><italic>P</italic> &#x02264; 0.001, OX, oxytocin.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-10-777129-g0001.tif"/>
</fig>
</sec>
<sec>
<title>Bodyweight Curve in Control and Diabetic-Obese Rats</title>
<p>The bodyweight curve along with the experimental duration until week 16 was ascending, particularly in the case of HFHSD treatment (<xref ref-type="fig" rid="F2">Figure 2</xref>).</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Body weights (gm &#x000B1; SEM) of Wistar rats from the beginning of the experiment until the 16th week. The prediabetic rat was determined on the 9th week and the diabetic determined on the 16th week. HFHSD: high-fat high sugar diet.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-10-777129-g0002.tif"/>
</fig>
</sec>
<sec>
<title>Glycemic Markers of Control and Diabetic-Obese Rats</title>
<p>We analyzed some of the glycemic markers, such as glucose (mg/dl), insulin (mIU/L), and HOMA-IR. For instance, in <xref ref-type="table" rid="T1">Table 1</xref>, oxytocin diminishes the glucose level in prediabetic and diabetic rats with significances [<italic>P</italic> = 0.037, <italic>P</italic> = 0.004, respectively, <italic>F</italic><sub>(3, 36)</sub> = 26.48] compared to untreated ones. The same effect of oxytocin had been achieved for decreasing insulin in prediabetic and diabetic rats but with significances [<italic>P</italic> = 0.008, <italic>P</italic> = 0.007, respectively, <italic>F</italic><sub>(3, 36)</sub> = 29.41] compared to the untreated groups. Meanwhile, the obese-prediabetic and obese-diabetic groups had substantially higher HOMA-IR [<italic>P</italic> = 0.007, <italic>P</italic> = 0.003, <italic>F</italic><sub>(3, 36)</sub> = 46.33] than control rats.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Effect of oxytocin administration on serum glucose, insulin conc., and HOMA-IR in different groups of Wistar rats.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Parameters</bold></th>
<th valign="top" align="center"><bold>Control</bold><break/> <bold>(normal)</bold></th>
<th valign="top" align="center"><bold>Control &#x0002B; OX</bold><break/> <bold>(normal)</bold></th>
<th valign="top" align="center"><bold>Pre-diabetic</bold><break/> <bold>(HFHSD)</bold></th>
<th valign="top" align="center"><bold>Pre-diabetic &#x0002B; OX</bold><break/> <bold>(HFHSD)</bold></th>
<th valign="top" align="center"><bold>Diabetic</bold><break/> <bold>(HFHSD)</bold></th>
<th valign="top" align="center"><bold>Diabetic &#x0002B; OX</bold><break/> <bold>(HFHSD)</bold></th>
<th valign="top" align="center"><bold>Significance</bold><break/> <bold>(<italic>P</italic>-values)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Glucose (mg/dl)</td>
<td valign="top" align="center">92.00 &#x000B1; 8.20</td>
<td valign="top" align="center">91.50 &#x000B1; 10.50</td>
<td valign="top" align="center">117.83 &#x000B1; 12.11</td>
<td valign="top" align="center">103.81 &#x000B1; 11.43<xref ref-type="table-fn" rid="TN1"><sup>a</sup></xref></td>
<td valign="top" align="center">246.22 &#x000B1; 19.11</td>
<td valign="top" align="center">160.45 &#x000B1; 11.1<xref ref-type="table-fn" rid="TN3"><sup>c</sup></xref></td>
<td valign="top" align="center">&#x02022;<xref ref-type="table-fn" rid="TN1"><sup>a</sup></xref><italic>P</italic> = 0.037 &#x02022;<xref ref-type="table-fn" rid="TN3"><sup>c</sup></xref><italic>P</italic> = 0.004</td>
</tr>
<tr>
<td valign="top" align="left">Insulin (mIU/L)</td>
<td valign="top" align="center">25.45 &#x000B1; 7.35</td>
<td valign="top" align="center">20.01 &#x000B1; 7.22</td>
<td valign="top" align="center">26.02 &#x000B1; 3.29</td>
<td valign="top" align="center">23.33 &#x000B1; 3.44<xref ref-type="table-fn" rid="TN2"><sup>b</sup></xref></td>
<td valign="top" align="center">27.12 &#x000B1; 2.10</td>
<td valign="top" align="center">24.54 &#x000B1; 3.6<xref ref-type="table-fn" rid="TN3"><sup>c</sup></xref></td>
<td valign="top" align="center">&#x02022;<xref ref-type="table-fn" rid="TN2"><sup>b</sup></xref><italic>P</italic> = 0.008 &#x02022;<xref ref-type="table-fn" rid="TN3"><sup>c</sup></xref><italic>P</italic> = 0.007</td>
</tr>
<tr>
<td valign="top" align="left">HOMA-IR</td>
<td valign="top" align="center">5.78 &#x000B1; 7.35</td>
<td valign="top" align="center">7.09 &#x000B1; 7.35</td>
<td valign="top" align="center">8.73 &#x000B1; 1.35</td>
<td valign="top" align="center">6.49 &#x000B1; 1.11<xref ref-type="table-fn" rid="TN2"><sup>b</sup></xref></td>
<td valign="top" align="center">19.52 &#x000B1; 2.35</td>
<td valign="top" align="center">9.72 &#x000B1; 2.35<xref ref-type="table-fn" rid="TN3"><sup>c</sup></xref></td>
<td valign="top" align="center">&#x02022;<xref ref-type="table-fn" rid="TN2"><sup>b</sup></xref><italic>P</italic> = 0.007 &#x02022;<xref ref-type="table-fn" rid="TN3"><sup>c</sup></xref><italic>P</italic> = 0.003</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>The data are represented as (mean &#x000B1; SEM). HOMA-IR, homeostatic model assessment of insulin resistance; HFHSD, high-fat-high-sugar diet; OX, oxytocin; and SEM, standard error mean</italic>.</p> 
<fn id="TN1">
<label>a</label>
<p><italic>P &#x0003C; 0.05 in comparison with prediabetic group</italic>.</p></fn>
<fn id="TN2">
<label>b</label>
<p><italic>P &#x0003C; 0.01 in comparison with prediabetic group</italic>.</p></fn>
<fn id="TN3">
<label>c</label>
<p><italic>P &#x0003C; 0.01 in comparison with diabetic group</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Hepatic Enzymes and Lipid Profiles of Control and Diabetic-Obese Rats</title>
<p>We analyzed the hepatic enzyme (<xref ref-type="table" rid="T2">Table 2</xref>). Serum ALT (U/L) was decreased in prediabetic and diabetic groups significantly after being treated with oxytocin [<italic>P</italic> = 0.05, <italic>F</italic><sub>(3, 36)</sub> = 52.23, <italic>P</italic> = 0.022, respectively, <italic>F</italic><sub>(3, 36)</sub> = 54.16] compared to untreated groups. Similarly, serum AST (U/L) was also decreased after oxytocin treatment in prediabetic and diabetic groups significantly after being treated with oxytocin [<italic>P</italic> = 0.008, <italic>P</italic> = 0.007, respectively, <italic>F</italic><sub>(3, 36)</sub> = 37.13] compared to untreated groups.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Comparison (mean &#x000B1; SEM) of the hepatic enzymes and the lipid profiles in different groups of Wistar rats.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Parameters</bold></th>
<th valign="top" align="center"><bold>Control</bold><break/> <bold>(normal)</bold></th>
<th valign="top" align="center"><bold>Control &#x0002B; OX</bold><break/> <bold>(normal)</bold></th>
<th valign="top" align="center"><bold>Pre-diabetic</bold><break/> <bold>(HFHSD)</bold></th>
<th valign="top" align="center"><bold>Pre-diabetic &#x0002B; OX</bold><break/> <bold>(HFHSD)</bold></th>
<th valign="top" align="center"><bold>Diabetic</bold><break/> <bold>(HFHSD)</bold></th>
<th valign="top" align="center"><bold>Diabetic &#x0002B; OX</bold><break/> <bold>(HFHSD)</bold></th>
<th valign="top" align="center"><bold>Significance</bold><break/> <bold>(<italic>P</italic>-values)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">ALT (U/L)</td>
<td valign="top" align="center">23.54 &#x000B1; 4.66</td>
<td valign="top" align="center">29.31 &#x000B1; 1.82</td>
<td valign="top" align="center">31.15 &#x000B1; 3.94</td>
<td valign="top" align="center">28.74 &#x000B1; 1.14<xref ref-type="table-fn" rid="TN5"><sup>b</sup></xref></td>
<td valign="top" align="center">41.64 &#x000B1; 2.53</td>
<td valign="top" align="center">39.47 &#x000B1; 2.87<xref ref-type="table-fn" rid="TN8"><sup>e</sup></xref></td>
<td valign="top" align="center">&#x02022;<xref ref-type="table-fn" rid="TN5"><sup>b</sup></xref><italic>P</italic> = 0.043 &#x02022;<xref ref-type="table-fn" rid="TN8"><sup>e</sup></xref><italic>P</italic> = 0.032</td>
</tr>
<tr>
<td valign="top" align="left">AST (U/L)</td>
<td valign="top" align="center">62.86 &#x000B1; 18.90</td>
<td valign="top" align="center">61.17 &#x000B1; 23.75</td>
<td valign="top" align="center">139.35 &#x000B1; 21.19</td>
<td valign="top" align="center">129.54 &#x000B1; 17.98<xref ref-type="table-fn" rid="TN6"><sup>c</sup></xref></td>
<td valign="top" align="center">160.82 &#x000B1; 12.61</td>
<td valign="top" align="center">152.31 &#x000B1; 15.46<xref ref-type="table-fn" rid="TN9"><sup>f</sup></xref></td>
<td valign="top" align="center">&#x02022;<xref ref-type="table-fn" rid="TN6"><sup>c</sup></xref><italic>P</italic> = 0.008 &#x02022;<xref ref-type="table-fn" rid="TN9"><sup>f</sup></xref><italic>P</italic> = 0.007</td>
</tr>
<tr>
<td valign="top" align="left">HDL-c (mg/dl)</td>
<td valign="top" align="center">43.11 &#x000B1; 5.32</td>
<td valign="top" align="center">42.44 &#x000B1; 5.21</td>
<td valign="top" align="center">45.22 &#x000B1; 6.23</td>
<td valign="top" align="center">43.78 &#x000B1; 3.66<xref ref-type="table-fn" rid="TN5"><sup>b</sup></xref></td>
<td valign="top" align="center">47.33 &#x000B1; 3.88</td>
<td valign="top" align="center">45.38 &#x000B1; 3.55<xref ref-type="table-fn" rid="TN8"><sup>e</sup></xref></td>
<td valign="top" align="center">&#x02022;<xref ref-type="table-fn" rid="TN5"><sup>b</sup></xref><italic>P</italic> = 0.044 &#x02022;<xref ref-type="table-fn" rid="TN8"><sup>e</sup></xref><italic>P</italic> = 0.038</td>
</tr>
<tr>
<td valign="top" align="left">LDL-c (mg/dl)</td>
<td valign="top" align="center">29.23 &#x000B1; 4.43</td>
<td valign="top" align="center">26.32 &#x000B1; 2.66</td>
<td valign="top" align="center">51.27 &#x000B1; 4.22</td>
<td valign="top" align="center">48.66 &#x000B1; 3.22<xref ref-type="table-fn" rid="TN6"><sup>c</sup></xref></td>
<td valign="top" align="center">67.31 &#x000B1; 4.11</td>
<td valign="top" align="center">51.29 &#x000B1; 4.88<xref ref-type="table-fn" rid="TN9"><sup>f</sup></xref></td>
<td valign="top" align="center">&#x02022;<xref ref-type="table-fn" rid="TN6"><sup>c</sup></xref><italic>P</italic> = 0.007 &#x02022;<xref ref-type="table-fn" rid="TN9"><sup>f</sup></xref><italic>P</italic> = 0.005</td>
</tr>
<tr>
<td valign="top" align="left">TC (mg/dl)</td>
<td valign="top" align="center">72.34 &#x000B1; 8.74</td>
<td valign="top" align="center">68.76 &#x000B1; 9.60<xref ref-type="table-fn" rid="TN4"><sup>a</sup></xref></td>
<td valign="top" align="center">96.49 &#x000B1; 6.00</td>
<td valign="top" align="center">92.34 &#x000B1; 5.15<xref ref-type="table-fn" rid="TN6"><sup>c</sup></xref></td>
<td valign="top" align="center">114.64 &#x000B1; 5.44</td>
<td valign="top" align="center">96.67 &#x000B1; 4.08<xref ref-type="table-fn" rid="TN9"><sup>f</sup></xref></td>
<td valign="top" align="center">&#x02022;<xref ref-type="table-fn" rid="TN4"><sup>a</sup></xref><italic>P</italic> = 0.048 &#x02022;<xref ref-type="table-fn" rid="TN6"><sup>c</sup></xref><italic>P</italic> = 0.007 &#x02022;<xref ref-type="table-fn" rid="TN9"><sup>f</sup></xref><italic>P</italic> = 0.006</td>
</tr>
<tr>
<td valign="top" align="left">TAG (mg/dl)</td>
<td valign="top" align="center">64.11 &#x000B1; 3.86</td>
<td valign="top" align="center">42.12 &#x000B1; 3.52<xref ref-type="table-fn" rid="TN4"><sup>a</sup></xref></td>
<td valign="top" align="center">85.87 &#x000B1; 3.34</td>
<td valign="top" align="center">58.51 &#x000B1; 3.02<xref ref-type="table-fn" rid="TN7"><sup>d</sup></xref></td>
<td valign="top" align="center">177.82 &#x000B1; 25.23</td>
<td valign="top" align="center">136.23 &#x000B1; 8.14<sup>g</sup></td>
<td valign="top" align="center">&#x02022;<xref ref-type="table-fn" rid="TN4"><sup>a</sup></xref><italic>P</italic> = 0.0044 &#x02022;<xref ref-type="table-fn" rid="TN7"><sup>d</sup></xref><italic>P</italic> = 0.000 &#x02022;<xref ref-type="table-fn" rid="TN10"><sup>g</sup></xref><italic>P</italic> = 0.001</td>
</tr>
<tr>
<td valign="top" align="left">VLDL-c (mg/dl)</td>
<td valign="top" align="center">12.82 &#x000B1; 1.23</td>
<td valign="top" align="center">8.42 &#x000B1; 1.11</td>
<td valign="top" align="center">17.17 &#x000B1; 2.43</td>
<td valign="top" align="center">11.70 &#x000B1; 1.55<xref ref-type="table-fn" rid="TN6"><sup>c</sup></xref></td>
<td valign="top" align="center">35.56 &#x000B1; 3.77</td>
<td valign="top" align="center">27.24 &#x000B1; 2.69<xref ref-type="table-fn" rid="TN9"><sup>f</sup></xref></td>
<td valign="top" align="center">&#x02022;<xref ref-type="table-fn" rid="TN6"><sup>c</sup></xref><italic>P</italic> = 0.008 &#x02022;<xref ref-type="table-fn" rid="TN9"><sup>f</sup></xref><italic>P</italic> = 0.006</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>The data is represented as (mean &#x000B1; SEM). ALT, alanine transaminase; AST, aspartate transaminase; HDL-c, high-density lipoprotein cholesterol; LDL-c, low-density lipoprotein cholesterol; TAG, triacylglycerol; TC, total cholesterol; VLDL-c, very low-density lipoprotein cholesterol; HFHSD, high-fat-high-sugar diet; OX, oxytocin; and SEM, standard error mean</italic>.</p>
<fn id="TN4">
<label>a</label>
<p><italic>P &#x0003C; 0.05 in comparison with control group</italic>.</p></fn>
<fn id="TN5">
<label>b</label>
<p><italic>P &#x0003C; 0.05 in comparison with pre-diabetic group</italic>.</p></fn>
<fn id="TN6">
<label>c</label>
<p><italic>P &#x0003C; 0.01 in comparison with pre-diabetic group</italic>.</p></fn>
<fn id="TN7">
<label>d</label>
<p><italic>P &#x0003C; 0.001 in comparison with pre-diabetic group</italic>.</p></fn>
<fn id="TN8">
<label>e</label>
<p><italic>P &#x0003C; 0.05 in comparison with diabetic group</italic>.</p></fn>
<fn id="TN9">
<label>f</label>
<p><italic>P &#x0003C; 0.01 in comparison with diabetic group</italic>.</p></fn>
<fn id="TN10">
<label>g</label>
<p><italic>P &#x0003C; 0.001 in comparison with diabetic group</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>We analyzed the lipid profiles in sera [HDL-c (mg/dl), LDL-c, VLDL-c (mg/dl), TAG (mg/dl), TC (mg/dl)]. The cholesterol was analyzed (<xref ref-type="table" rid="T2">Table 2</xref>), HDL-c was significantly improved after oxytocin injection in prediabetic and diabetic groups [<italic>P</italic> = 0.044, <italic>P</italic> = 0.038, respectively, <italic>F</italic><sub>(3, 36)</sub> =30.77] compared to those that were untreated. The LDL-c was decreased in treated prediabetic and diabetic groups with significance [<italic>P</italic> = 0.007, <italic>P</italic> = 0.005, respectively, <italic>F</italic><sub>(3, 36)</sub> = 47.15] compared to untreated ones. In parallel, VLDL-c was decreased in treated prediabetic and diabetic with significances [<italic>P</italic> = 0.008, <italic>P</italic> = 0.006, respectively, <italic>F</italic><sub>(3, 36)</sub> = 49.53] compared to untreated ones. Thus, in the presence of oxytocin medication, the TC in all treated groups reduced [<italic>P</italic> = 0.048, <italic>P</italic> = 0.007, and <italic>P</italic> = 0.006, in control, prediabetic, and diabetic, respectively; <italic>F</italic><sub>(3, 36)</sub> = 28.14] compared to those of treated rats. Moreover, oxytocin plays a big role in lowering the TAG levels in control, prediabetic, and diabetic rats [<italic>P</italic> = 0.004, <italic>P</italic> = 0.000, and <italic>P</italic> = 0.001, respectively, <italic>F</italic><sub>(3, 36)</sub> = 29.13] compared to those untreated groups.</p>
</sec>
<sec>
<title>Serum Creatinine and Albumin of Control and Diabetic-Obese Rats</title>
<p>We analyzed creatinine (mg/dl) and albumin (g/dl) in rat sera. As shown in <xref ref-type="table" rid="T3">Table 3</xref>, creatinine was decreased in normal, prediabetic, and diabetic rats after they were given oxytocin with significance values [<italic>P</italic> = 0.046, <italic>P</italic> = 0.027, and <italic>P</italic> = 0.04, respectively, <italic>F</italic><sub>(3, 36)</sub> = 30.14] compared to those that were untreated. However, the albumin level was increased in prediabetic and diabetic rats after oxytocin administration [<italic>P</italic> = 0.047, <italic>P</italic> = 0.031, respectively, <italic>F</italic><sub>(3, 36)</sub> = 38.13] compared to untreated rats.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Alterations (mean &#x000B1; SEM) of creatinine and albumin in different groups of Wistar rats.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Parameters</bold></th>
<th valign="top" align="center"><bold>Control</bold><break/> <bold>(normal)</bold></th>
<th valign="top" align="center"><bold>Control &#x0002B; OX</bold><break/> <bold>(normal)</bold></th>
<th valign="top" align="center"><bold>Pre-diabetic</bold><break/> <bold>(HFHSD)</bold></th>
<th valign="top" align="center"><bold>Pre-diabetic &#x0002B; OX</bold><break/> <bold>(HFHSD)</bold></th>
<th valign="top" align="center"><bold>Diabetic</bold><break/> <bold>(HFHSD)</bold></th>
<th valign="top" align="center"><bold>Diabetic &#x0002B; OX</bold><break/> <bold>(HFHSD)</bold></th>
<th valign="top" align="center"><bold>Significance</bold><break/> <bold>(<italic>P</italic>-values)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Creatinine (mg/dl)</td>
<td valign="top" align="center">0.78 &#x000B1; 0.33</td>
<td valign="top" align="center">0.70 &#x000B1; 0.78<xref ref-type="table-fn" rid="TN11"><sup>a</sup></xref></td>
<td valign="top" align="center">1.15 &#x000B1; 0.59</td>
<td valign="top" align="center">0.90 &#x000B1; 0.20<xref ref-type="table-fn" rid="TN12"><sup>b</sup></xref></td>
<td valign="top" align="center">1.08 &#x000B1; 0.42</td>
<td valign="top" align="center">0.87 &#x000B1; 0.18<xref ref-type="table-fn" rid="TN13"><sup>c</sup></xref></td>
<td valign="top" align="center">&#x02022;<xref ref-type="table-fn" rid="TN11"><sup>a</sup></xref><italic>P</italic> = 0.046 &#x02022;<xref ref-type="table-fn" rid="TN12"><sup>b</sup></xref><italic>P</italic> = 0.027 &#x02022;<xref ref-type="table-fn" rid="TN13"><sup>c</sup></xref><italic>P</italic> = 0.04</td>
</tr>
<tr>
<td valign="top" align="left">Albumin (g/dl)</td>
<td valign="top" align="center">3.81 &#x000B1; 0.32</td>
<td valign="top" align="center">4.00 &#x000B1; 0.22</td>
<td valign="top" align="center">3.61 &#x000B1; 0.25</td>
<td valign="top" align="center">3.82 &#x000B1; 0.35<xref ref-type="table-fn" rid="TN12"><sup>b</sup></xref></td>
<td valign="top" align="center">3.51 &#x000B1; 0.27</td>
<td valign="top" align="center">3.71 &#x000B1; 0.21<xref ref-type="table-fn" rid="TN13"><sup>c</sup></xref></td>
<td valign="top" align="center">&#x02022;<xref ref-type="table-fn" rid="TN12"><sup>b</sup></xref><italic>P</italic> = 0.047 &#x02022;<xref ref-type="table-fn" rid="TN13"><sup>c</sup></xref><italic>P</italic> = 0.039</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>The data are represented as (mean &#x000B1; SEM). HFHSD, high-fat-high-sugar diet; OX, oxytocin; and SEM, standard error mean</italic>.</p> 
<fn id="TN11">
<label>a</label>
<p><italic>P &#x0003C; 0.05 in comparison with control group</italic>.</p></fn>
<fn id="TN12">
<label>b</label>
<p><italic>P &#x0003C; 0.05 in comparison with prediabetic group</italic>.</p></fn>
<fn id="TN13">
<label>c</label>
<p><italic>P &#x0003C; 0.05 in comparison with diabetic group</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Motor Activity of Control and Diabetic-Obese Rats</title>
<p>The motor activities/sec of rats in all groups were observed (<xref ref-type="table" rid="T4">Table 4</xref>), in which the oxytocin treatment improved the activities of rats. For instance, in control-treated oxytocin the locomotion, general activity, distance, stereotypic behavior, rearing, and fast movement were increased significantly [<italic>P</italic> = 0.0074, <italic>F</italic><sub>(3, 36)</sub> = 30.16; <italic>P</italic> = 0.000, <italic>F</italic><sub>(3, 36)</sub> = 22.32; <italic>P</italic> = 0.0054, <italic>F</italic><sub>(3, 36)</sub> = 36.14; <italic>P</italic> = 0.0064, <italic>F</italic><sub>(3, 36)</sub> = 32.52; <italic>P</italic> = 0.043, <italic>F</italic><sub>(3, 36)</sub> = 40.13; and <italic>P</italic> = 0.0043, <italic>F</italic><sub>(3, 36)</sub> = 41.66, respectively], compared to the untreated controls. Moreover, in diabetic treated oxytocin rats recorded [<italic>P</italic> = 0.006, <italic>F</italic><sub>(3, 36)</sub> = 29.54; <italic>P</italic> = 0.001, <italic>F</italic><sub>(3, 36)</sub> = 20.22; <italic>P</italic> = 0.043, <italic>F</italic><sub>(3, 36)</sub> = 34,66; <italic>P</italic> = 0.005, <italic>F</italic><sub>(3, 36)</sub> = 30.01; <italic>P</italic> = 0.006, <italic>F</italic><sub>(3.36)</sub> = 38.32; and <italic>P</italic> = 0.043, <italic>F</italic><sub>(3, 36)</sub> = 39.13, respectively], compared to the diabetics.</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Motor activity/sec (mean &#x000B1; SEM) in different groups of Wistar rats.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Motor activities/sec</bold></th>
<th valign="top" align="center"><bold>Control (normal)</bold></th>
<th valign="top" align="center"><bold>Control &#x0002B; OX (normal)</bold></th>
<th valign="top" align="center"><bold>Diabetic (HFHSD)</bold></th>
<th valign="top" align="center"><bold>Diabetic &#x0002B; OX (HFHSD)</bold></th>
<th valign="top" align="center"><bold>Significance (<italic>P</italic>-value)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Locomotion</td>
<td valign="top" align="center">613.56 &#x000B1; 75.41</td>
<td valign="top" align="center">873.00 &#x000B1; 76.88<xref ref-type="table-fn" rid="TN15"><sup>b</sup></xref></td>
<td valign="top" align="center">514.78 &#x000B1; 44.22</td>
<td valign="top" align="center">744 &#x000B1; 53.42<xref ref-type="table-fn" rid="TN19"><sup>f</sup></xref></td>
<td valign="top" align="center">&#x02022;<xref ref-type="table-fn" rid="TN15"><sup>b</sup></xref><italic>P</italic> = 0.0074 &#x02022;<xref ref-type="table-fn" rid="TN19"><sup>f</sup></xref><italic>P</italic> = 0.0061</td>
</tr>
<tr>
<td valign="top" align="left">General activity</td>
<td valign="top" align="center">668.22 &#x000B1; 80.96</td>
<td valign="top" align="center">941.33 &#x000B1; 80.32<xref ref-type="table-fn" rid="TN16"><sup>c</sup></xref></td>
<td valign="top" align="center">553.11 &#x000B1; 52.23</td>
<td valign="top" align="center">796.33 &#x000B1; 57.53<xref ref-type="table-fn" rid="TN20"><sup>g</sup></xref></td>
<td valign="top" align="center">&#x02022;<xref ref-type="table-fn" rid="TN16"><sup>c</sup></xref><italic>P</italic> = 0.000 &#x02022;<sup>g</sup><italic>P</italic> = 0.001</td>
</tr>
<tr>
<td valign="top" align="left">Distance</td>
<td valign="top" align="center">992.38 &#x000B1; 148.05</td>
<td valign="top" align="center">1,569.04 &#x000B1; 206.57<xref ref-type="table-fn" rid="TN15"><sup>b</sup></xref></td>
<td valign="top" align="center">782.19 &#x000B1; 90.74</td>
<td valign="top" align="center">1,166.38 &#x000B1; 99.5<xref ref-type="table-fn" rid="TN19"><sup>f</sup></xref></td>
<td valign="top" align="center">&#x02022;<xref ref-type="table-fn" rid="TN15"><sup>b</sup></xref><italic>P</italic> = 0.0054 &#x02022;<xref ref-type="table-fn" rid="TN19"><sup>f</sup></xref><italic>P</italic> = 0.043</td>
</tr>
<tr>
<td valign="top" align="left">Stereotypic behavior</td>
<td valign="top" align="center">54.67 &#x000B1; 5.96</td>
<td valign="top" align="center">68.33 &#x000B1; 3.46<xref ref-type="table-fn" rid="TN15"><sup>b</sup></xref></td>
<td valign="top" align="center">38.33 &#x000B1; 4.15</td>
<td valign="top" align="center">52.33 &#x000B1; 4.17<xref ref-type="table-fn" rid="TN19"><sup>f</sup></xref></td>
<td valign="top" align="center">&#x02022;<xref ref-type="table-fn" rid="TN15"><sup>b</sup></xref><italic>P</italic> = 0.0064 &#x02022;<xref ref-type="table-fn" rid="TN19"><sup>f</sup></xref><italic>P</italic> = 0.0053</td>
</tr>
<tr>
<td valign="top" align="left">Resting time</td>
<td valign="top" align="center">131.93 &#x000B1; 17.02</td>
<td valign="top" align="center">86.84 &#x000B1; 9.85<xref ref-type="table-fn" rid="TN15"><sup>b</sup></xref></td>
<td valign="top" align="center">152.51 &#x000B1; 11.53</td>
<td valign="top" align="center">103.42 &#x000B1; 11.24<xref ref-type="table-fn" rid="TN19"><sup>f</sup></xref></td>
<td valign="top" align="center">&#x02022;<xref ref-type="table-fn" rid="TN15"><sup>b</sup></xref><italic>P</italic> = 0.0075 &#x02022;<xref ref-type="table-fn" rid="TN19"><sup>f</sup></xref><italic>P</italic> = 0.0067</td>
</tr>
<tr>
<td valign="top" align="left">Slow movement</td>
<td valign="top" align="center">87.02 &#x000B1; 4.57</td>
<td valign="top" align="center">89.84 &#x000B1; 5.17</td>
<td valign="top" align="center">87.6 &#x000B1; 6.61</td>
<td valign="top" align="center">92.18 &#x000B1; 1.39<xref ref-type="table-fn" rid="TN19"><sup>f</sup></xref></td>
<td valign="top" align="center">&#x02022;<xref ref-type="table-fn" rid="TN19"><sup>f</sup></xref><italic>P</italic> = 0.0081</td>
</tr>
<tr>
<td valign="top" align="left">Number of rearing</td>
<td valign="top" align="center">17.22 &#x000B1; 2.03</td>
<td valign="top" align="center">30.00 &#x000B1; 2.65<xref ref-type="table-fn" rid="TN14"><sup>a</sup></xref>, <xref ref-type="table-fn" rid="TN17"><sup>d</sup></xref></td>
<td valign="top" align="center">8.67 &#x000B1; 1.42</td>
<td valign="top" align="center">22.22 &#x000B1; 2.47<xref ref-type="table-fn" rid="TN19"><sup>f</sup></xref></td>
<td valign="top" align="center">&#x02022;<xref ref-type="table-fn" rid="TN14"><sup>a</sup></xref><italic>P</italic> = 0.043, &#x02022;<xref ref-type="table-fn" rid="TN17"><sup>d</sup></xref><italic>P</italic> = 0.036 &#x02022;<xref ref-type="table-fn" rid="TN19"><sup>f</sup></xref><italic>P</italic> = 0.0062</td>
</tr>
<tr>
<td valign="top" align="left">Fast movement</td>
<td valign="top" align="center">81.04 &#x000B1; 13.73</td>
<td valign="top" align="center">123.31 &#x000B1; 11.84<xref ref-type="table-fn" rid="TN15"><sup>b</sup></xref></td>
<td valign="top" align="center">59.89 &#x000B1; 8.88</td>
<td valign="top" align="center">104.40 &#x000B1; 10.26<xref ref-type="table-fn" rid="TN18"><sup>e</sup></xref></td>
<td valign="top" align="center">&#x02022;<xref ref-type="table-fn" rid="TN15"><sup>b</sup></xref><italic>P</italic> = 0.004 &#x02022;<xref ref-type="table-fn" rid="TN18"><sup>e</sup></xref><italic>P</italic> = 0.043</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>The data is represented as (mean &#x000B1; SEM). HFHSD, high-fat-high-sugar diet; OX, oxytocin; SEM, standard error mean</italic>.</p> 
<fn id="TN14">
<label>a</label>
<p><italic>P &#x0003C; 0.05 in comparison with control group,</italic></p></fn>
<fn id="TN15">
<label>b</label>
<p><italic>P &#x0003C; 0.01 in comparison with control group,</italic></p></fn>
<fn id="TN16">
<label>c</label>
<p><italic>P &#x0003C; 0.001 in comparison with control group,</italic></p></fn>
<fn id="TN17">
<label>d</label>
<p><italic>P &#x0003C; 0.001 in comparison with diabetic group,</italic></p></fn>
<fn id="TN18">
<label>e</label>
<p><italic>P &#x0003C; 0.05 in comparison with diabetic group,</italic></p></fn>
<fn id="TN19">
<label>f</label>
<p><italic>P &#x0003C; 0.01 in comparison with diabetic group,</italic></p></fn>
<fn id="TN20">
<label>g</label>
<p><italic>P &#x0003C; 0.001 in comparison with diabetic group</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Relative <italic>FBN1 mRNA</italic> Expression in Control and Diabetic Rats</title>
<p>The relative <italic>FBN1 mRNA</italic> expression in different treated groups of Wistar rats is shown in <xref ref-type="fig" rid="F3">Figure 3</xref>. As a result, we found a relationship between glucose level, <italic>FBN1</italic> expression, and oxytocin administration. For instance, the <italic>FBN1</italic> gene expression was increased in diabetes progress given statistical differences between control and prediabetic [<italic>P</italic> = 0.006, <italic>F</italic><sub>(3, 36)</sub> = 30.11]. It was also decreased significantly after oxytocin treatment in control and diabetic animals (<italic>P</italic> = 0.042, <italic>P</italic> = 0.008, respectively), compared to those who have not been treated. Given the highest expression of <italic>FBN1</italic> in the diabetic group with a high significance value (<italic>P</italic> = 0.000).</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Relative <italic>FBN1 mRNA</italic> expression (mean &#x000B1; SEM) in different groups of Wistar rats. <italic>FBN1, fibrillin-1</italic> gene; OX, oxytocin. <sup>a</sup><italic>P</italic> &#x0003E; 0.05, <sup>b</sup><italic>P</italic> &#x0003E; 0.01, and <sup>c</sup><italic>P</italic> &#x0003E; 0.001.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-10-777129-g0003.tif"/>
</fig>
</sec>
<sec>
<title>Effect of Oxytocin on <italic>PEPCK</italic> Enzyme Gene in Control and Diabetic Rats</title>
<p>As shown in <xref ref-type="fig" rid="F4">Figure 4</xref>, the relative <italic>PEPCK mRNA</italic> expression level was considerably enhanced [<italic>P</italic> = 0.042, <italic>F</italic><sub>(3, 36)</sub> = 28.19] in obese diabetic rats comparable to normal animals was significantly reduced, but also reduced in diabetic-treated animals with oxytocin with no statistical significances.</p>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>Effect of oxytocin medication on hepatic <italic>PEPCK</italic> enzyme activity (mean &#x000B1; SEM) in different groups of Wistar rats. <italic>PEPCK, phosphoenolpyruvate caboxykinase</italic>, OX, oxytocin. <sup>a</sup><italic>P</italic> &#x02264; 0.05.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-10-777129-g0004.tif"/>
</fig>
</sec>
<sec>
<title>Pathological Findings of the Pancreas in Control and Diabetic Rats</title>
<p>On a pathological basis, we analyzed the pancreas (<xref ref-type="fig" rid="F5">Figure 5</xref>). Macroscopically, gross lesions of pancreases of the control and oxytocin-treated control groups were normal. The pancreas of groups 3 A (prediabetic non-treated) and 3 B (diabetic non-treated) showed as normal. Moreover, in groups 4 A and B (prediabetic treated, and diabetic treated, respectively), we detected the normal appearance of the pancreas. In the liver, the control, and oxytocin treated groups showed normal appearance with normal shapes, sizes, and consistency. Group 3 A (prediabetic non-treated) showed reddish spots of congestion at liver capsules, besides the liver of group 3 B (diabetic non-treated) appeared pale in color. Group 4 A and B (prediabetic treated and diabetic treated, respectively), displayed slight congestion of the liver. In parallel, kidneys results in the control and oxytocin groups displayed normal cortex and medulla. Group 3 A (prediabetic non-treated) and group 3 B (diabetic non-treated) appeared small and had shrinkage, and suffered from darkish coloration due to a noticeable degree of congestion of the kidney. Groups 4 A and B (prediabetic treated and diabetic treated, respectively), displayed moderate congested cortex and medulla.</p>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption><p><bold>(a&#x02013;f)</bold> Photomicrograph of the pancreas of the control group showed the structure of the pancreatic tissues comprising normal &#x003B2;-cells <bold>(a)</bold>. Photomicrograph of the pancreas of oxytocin group showed normally arranged pancreatic acini <bold>(b)</bold>. Photomicrograph of the pancreas of group 3 A (prediabetic non-treated) showed slight vacuolation of pancreatic acini and &#x003B2;<italic>-</italic>cells <bold>(c)</bold>. Photomicrograph of the pancreas of group 3 B (diabetic non-treated) showed mild vacuolation of &#x003B2;<italic>-</italic>cells of the Langerhans islets <bold>(d)</bold>. Photomicrograph demonstrated that the pancreas of group 4 A (prediabetic treated) showed a moderate degree of vacuolation and the islets of Langerhans <bold>(e)</bold>. Photomicrograph of the pancreas of group 4 B (diabetic treated) showed slight vacuolation of the islets of Langerhans <bold>(f)</bold> (H&#x00026;E., bar = 50 &#x003BC;m).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-10-777129-g0005.tif"/>
</fig>
<p>Microscopically, the pancreatic parenchyma in the control group had a normal histological structure, with pancreatic acini and normal Langerhans islet-cells (<xref ref-type="fig" rid="F5">Figure 5a</xref>). The pancreas of oxytocin treated control group detected normally arranged pancreatic acini (<xref ref-type="fig" rid="F5">Figure 5b</xref>). Group 3 A (prediabetic non-treated) recorded slight vacuolation of pancreatic acini and &#x003B2;-cell (<xref ref-type="fig" rid="F5">Figure 5c</xref>). Group 3 B (diabetic non-treated) revealed mild vacuolation of &#x003B2;-cells in the Langerhans islets (<xref ref-type="fig" rid="F5">Figure 5d</xref>). Moreover, the pancreas of group 4 A (prediabetic treated) showed a moderate degree of vacuolation of islets of Langerhans and pancreatic acini (<xref ref-type="fig" rid="F5">Figure 5e</xref>). Group 4 B (diabetic treated) displayed slight vacuolation of the islets of Langerhans (<xref ref-type="fig" rid="F5">Figure 5f</xref>).</p>
</sec>
<sec>
<title>Pathological Findings of the Liver in Control and Diabetic Rats</title>
<p>We analyzed the liver on a pathological basis (<xref ref-type="fig" rid="F6">Figure 6</xref>). The microscopic findings of the liver of the control group showed normally arranged hepatocytes with normal vasculature comprising normal blood sinusoids and bile duct (<xref ref-type="fig" rid="F6">Figure 6a</xref>). The liver of the oxytocin treated control group showed normally arranged hepatocytes with a mild degree of dilatation of blood sinusoids (<xref ref-type="fig" rid="F6">Figure 6b</xref>). The liver of group 3 A (prediabetic non-treated) showed necrosis and fatty degeneration of hepatocytes with dilatation of the blood vessels (<xref ref-type="fig" rid="F6">Figure 6c</xref>). Group 3 B (diabetic non-treated) displayed intensive necrosis and fatty degeneration of hepatocytes with thickening and hyperplasia of blood vessels wall (<xref ref-type="fig" rid="F6">Figure 6d</xref>). Group 4 A (prediabetic treated) detected a mild degree of fatty degeneration and dilatation of the blood sinusoids (<xref ref-type="fig" rid="F6">Figure 6e</xref>). The liver of group 4 B (diabetic treated) revealed slight fatty degeneration of hepatocytes with slight dilatation of blood sinusoids (<xref ref-type="fig" rid="F5">Figure 5f</xref>).</p>
<fig id="F6" position="float">
<label>Figure 6</label>
<caption><p><bold>(a&#x02013;f)</bold> Photomicrograph of liver of the control group showed normally arranged hepatocytes with normal vasculature <bold>(a)</bold>. Photomicrograph of the liver of oxytocin group showed normally arranged hepatocytes <bold>(b)</bold>. Photomicrograph of the liver of group 3 A (prediabetic non-treated) showed necrosis and fatty degeneration of hepatocytes with dilatation of the blood vessels <bold>(c)</bold>. Photomicrograph of the liver of group 3 B (diabetic non-treated) showed intensive necrosis and fatty degeneration of hepatocytes <bold>(d)</bold>. Photomicrograph of the liver of group 4 A (prediabetic treated) showed a mild degree of fatty degeneration and dilatation of the blood sinusoids <bold>(e)</bold>. Photomicrograph of liver of group 4 B (diabetic treated) showed fatty degeneration of hepatocytes with slight dilatation of the blood sinusoids <bold>(f)</bold> (H&#x00026;E., bar = 50 &#x003BC;m).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-10-777129-g0006.tif"/>
</fig>
</sec>
<sec>
<title>Pathological Findings of the Kidney in Control and Diabetic Rats</title>
<p>On a pathological basis, we analyzed the kidney (<xref ref-type="fig" rid="F7">Figure 7</xref>). The microscopic findings of the control group showed normal nephrons characterized by normal renal tubules and glomeruli (<xref ref-type="fig" rid="F7">Figure 7a</xref>). The kidney of the oxytocin group suffered from mild hemorrhage and congestion of the blood vessels, with some renal necrotic changes (<xref ref-type="fig" rid="F7">Figure 7b</xref>). Group 3 A (prediabetic non-treated) displayed slight necrosis of renal tubules with congestion and dilatation of the blood vessels (<xref ref-type="fig" rid="F7">Figure 7c</xref>). The kidney of group 3 B (diabetic non-treated) showed moderate congestion and dilatation of the interstitial blood vessels and glomeruli, and slight necrosis of the renal tubules (<xref ref-type="fig" rid="F7">Figure 7d</xref>). Group 4 A (prediabetic treated) detected a moderate degree of congestion of the blood vessels, with some necrosis of the renal tissues (<xref ref-type="fig" rid="F7">Figure 7e</xref>). Group 4 B (diabetic-treated) showed slight congestion and hypercellularity of the glomeruli with the degree of necrosis of the renal tubules (<xref ref-type="fig" rid="F7">Figure 7f</xref>).</p>
<fig id="F7" position="float">
<label>Figure 7</label>
<caption><p><bold>(a&#x02013;f)</bold> Photomicrograph of the kidney of the control group showing normal nephrons <bold>(a)</bold>. Photomicrograph of the kidney of the oxytocin group showed mild hemorrhage and congestion of the blood vessels, with some renal necrotic changes <bold>(b)</bold>. Photomicrograph of the kidney of group 3 A (prediabetic non-treated) showing slight necrosis of renal tissues with congestion and dilatation of the blood vessels <bold>(c)</bold>. Photomicrograph of the kidney of group 3 B (diabetic non-treated) showed moderate congestion and dilatation of the interstitial blood vessels and glomeruli, besides slight necrosis of the renal tubules <bold>(d)</bold>. Photomicrograph of the kidney of group 4 A (prediabetic treated) showed a moderate degree of congestion of the blood vessels, with some necrosis of the renal tissues <bold>(e)</bold>. Photomicrograph of the kidney of group 4 B (diabetic treated) showed slight congestion and hypercellularity of the glomeruli with the degree of necrosis of the renal tubules <bold>(f)</bold> (H&#x00026;E., bar = 50 &#x003BC;m).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-10-777129-g0007.tif"/>
</fig>
</sec>
<sec>
<title>Correlation Between the Biochemical Parameters, <italic>PEPCK</italic>, and the Behavioral Activities With the <italic>FBN1</italic> Expression in Pre-diabetic and Diabetic Wistar Rats</title>
<p>As shown in (<xref ref-type="table" rid="T5">Table 5</xref>), motor activities such as locomotion, general activities, rearing, stereotyped behaviors, and fast movement were negatively correlated (&#x02212;0.61, &#x02212;0.55, &#x02212;0.32, &#x02212;0.52, and &#x02212;0.42) with <italic>FBN1</italic> gene expression in prediabetic rats, while it was (&#x02212;0.64, &#x02212;0.57, &#x02212;0.39, &#x02212;0.56, and &#x02212;0.47) in diabetic ones. Moreover, the body weight (&#x0002B;0.41), glucose level (&#x0002B;0.54), insulin (&#x0002B;0.31), HOMA-IR (&#x0002B;0.22), ALT (&#x0002B;0.53), AST (&#x0002B;0.44), <italic>PEPCK mRNA</italic> expression (&#x0002B;0.33), TC (&#x0002B;0.54), TAG (&#x0002B;0.66), LDL-c (&#x0002B;0.55), VLDL-c (&#x0002B;0.63), and creatinine (&#x0002B;0.33) were positively correlated with <italic>FBN1</italic> in prediabetic rats, while it was (&#x0002B;0.49, &#x0002B;0.66, &#x0002B;0.35, &#x0002B;0.28, &#x0002B;0.67, &#x0002B;0.48, &#x0002B;0.37, &#x0002B;0.61, &#x0002B;0.67, &#x0002B;0.57, &#x0002B;0.59, and &#x0002B;0.38) in diabetic ones. However, insulin (&#x02212;0.35) in diabetic rats and albumin (&#x02212;0.36, &#x02212;0.41 in prediabetic and diabetic, respectively), and <italic>OLR1612</italic> expression (&#x02212;0.32, &#x02212;0.35 in prediabetic and diabetic, respectively), were negatively correlated with the <italic>FBN1</italic> gene. HDL-c has no correlations in all groups.</p>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p>The correlation coefficients between biochemical parameters, <italic>PEPCK</italic>, and the behavioral activities with <italic>FBN1</italic> gene expression in prediabetic and diabetic Wistar rats.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold><italic>FBN1</italic> gene</bold></th>
<th valign="top" align="center"><bold>Pre-diabetic</bold><break/> <bold>(normal)</bold></th>
<th valign="top" align="center"><bold>Pre-diabetic &#x0002B; OX</bold><break/> <bold>(normal)</bold></th>
<th valign="top" align="center"><bold>Diabetic</bold><break/> <bold>(HFHSD)</bold></th>
<th valign="top" align="center"><bold>Diabetic &#x0002B; OX</bold><break/> <bold>(HFHSD)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="5"><bold>Biochemical parameters and</bold> <italic><bold>PEPCK</bold></italic> <bold>gene</bold></td>
</tr>
<tr>
<td valign="top" align="left">Body weight (gm)</td>
<td valign="top" align="center">&#x0002B;0.41<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x02212;0.33<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x0002B;0.49<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x02212;0.37<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Glucose (mg/dl)</td>
<td valign="top" align="center">&#x0002B;0.54<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
<td valign="top" align="center">&#x02212;0.51<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
<td valign="top" align="center">&#x0002B;0.66<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
<td valign="top" align="center">&#x02212;0.56<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Insulin (mIU/L)</td>
<td valign="top" align="center">&#x0002B;0.31<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x02212;0.41<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x02212;0.35<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x0002B;0.46<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">HOMA-IR</td>
<td valign="top" align="center">&#x0002B;0.22<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x02212;0.35<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x02212;0.28<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x0002B;0.37<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">ALT (U/L)</td>
<td valign="top" align="center">&#x0002B;0.53<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
<td valign="top" align="center">&#x02212;0.55</td>
<td valign="top" align="center">&#x0002B;0.67<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
<td valign="top" align="center">&#x02212;0.62<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">AST (U/L)</td>
<td valign="top" align="center">&#x0002B;0.44<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x02212;0.33<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x0002B;0.48<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x02212;0.42<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Hepatic <italic>PEPCK</italic> enzyme gene</td>
<td valign="top" align="center">&#x0002B;0.33<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x02212;0.42<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x0002B;0.37<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x02212;0.45<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">HDL-c (mg/dl)</td>
<td valign="top" align="center">0.089</td>
<td valign="top" align="center">0.011</td>
<td valign="top" align="center">0.09</td>
<td valign="top" align="center">0.022</td>
</tr>
<tr>
<td valign="top" align="left">LDL-c (mg/dl)</td>
<td valign="top" align="center">&#x0002B;0.55<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
<td valign="top" align="center">&#x02212;0.64<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
<td valign="top" align="center">&#x0002B;0.57<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
<td valign="top" align="center">&#x02212;0.67<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">VLDL-c (mg/dl)</td>
<td valign="top" align="center">&#x0002B;0.63<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
<td valign="top" align="center">&#x02212;0.52<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
<td valign="top" align="center">&#x0002B;0.59<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
<td valign="top" align="center">&#x02212;0.51<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">TC (mg/dl)</td>
<td valign="top" align="center">&#x0002B;0.54<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
<td valign="top" align="center">&#x02212;0.53<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
<td valign="top" align="center">&#x0002B;0.61<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
<td valign="top" align="center">&#x02212;0.51<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">TAG (mg/dl)</td>
<td valign="top" align="center">&#x0002B;0.66<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
<td valign="top" align="center">&#x02212;0.55<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
<td valign="top" align="center">&#x0002B;0.67<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
<td valign="top" align="center">&#x02212;0.63<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Creatinine (mg/dl)</td>
<td valign="top" align="center">&#x0002B;0.33<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x02212;0.49<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x0002B;0.38<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x02212;0.41<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Albumin (g/dl)</td>
<td valign="top" align="center">&#x02212;0.36<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x0002B;0.50<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x02212;0.41<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x0002B;0.44<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>Motor activities/seconds</bold></td>
</tr>
<tr>
<td valign="top" align="left">Locomotion</td>
<td valign="top" align="center">&#x02212;0.61<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
<td valign="top" align="center">&#x0002B;0.53<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
<td valign="top" align="center">&#x02212;0.64<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
<td valign="top" align="center">&#x0002B;0.58<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">General activity</td>
<td valign="top" align="center">&#x02212;0.55<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
<td valign="top" align="center">&#x0002B;0.64<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
<td valign="top" align="center">&#x02212;0.57<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
<td valign="top" align="center">&#x0002B;0.67<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Distance</td>
<td valign="top" align="center">&#x02212;0.64<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
<td valign="top" align="center">&#x0002B;0.58<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
<td valign="top" align="center">&#x02212;0.66<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
<td valign="top" align="center">&#x0002B;0.59<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Stereotypic behavior</td>
<td valign="top" align="center">&#x02212;0.52<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
<td valign="top" align="center">&#x0002B;0.67<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
<td valign="top" align="center">&#x02212;0.56<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
<td valign="top" align="center">&#x0002B;0.68<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Resting time</td>
<td valign="top" align="center">&#x0002B;0.64<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
<td valign="top" align="center">&#x02212;0.51<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
<td valign="top" align="center">&#x0002B;0.63<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
<td valign="top" align="center">&#x02212;0.54<xref ref-type="table-fn" rid="TN22"><sup>b</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Slow movement</td>
<td valign="top" align="center">&#x0002B;0.50<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x02212;0.32<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x0002B;0.44<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x02212;0.35<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Number of rearing</td>
<td valign="top" align="center">&#x02212;0.32<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x0002B;0.43<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x02212;0.39<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x0002B;0.46<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Fast movement</td>
<td valign="top" align="center">&#x02212;0.42<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x0002B;0.35<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x02212;0.47<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x0002B;0.37<xref ref-type="table-fn" rid="TN21"><sup>a</sup></xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Each value represented Spearman&#x00027;s rho correlation coefficient and Pearson Correlation Coefficients. ALT, alanine transaminase; AST, aspartate transaminase; FBN1, Fibrillin-1 gene; HDL-c, high-density lipoprotein cholesterol; HFHSD, high-fat-high-sugar-diet; HOMA-IR, homeostatic model assessment of insulin resistance; LDL-c, low-density lipoprotein cholesterol; PEPCK, phosphoenolpyruvate caboxykinase; TAG, triacylglycerol; TC, total cholesterol; VLDL-c, very low-density lipoprotein cholesterol; and OX; oxytocin</italic>.</p>
<fn id="TN21">
<label>a</label>
<p><italic>(r) = 0.3&#x02013;0.5, weak to moderate correlation to FBN1 gene</italic>.</p></fn>
<fn id="TN22">
<label>b</label>
<p><italic>(r) = 0.5&#x02013;0.7, moderate to strong correlation to FBN1 gene</italic>.</p></fn>
<p><italic><sup>c</sup> (r) = 0.7, strong correlation to FBN1 gene</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Diabetic-associated obesity is a major disease that leads to death (<xref ref-type="bibr" rid="B2">2</xref>). Thus, it is essential to find a biomarker for diabetes prognosis and targeted intervention for diagnostic therapy. Asprosin is a hormone made up of proteins and produced from WAT, and its levels are abnormally high in diabetic individuals. However, information about the role of this hormone in T2DM remains unclear. In response, the present study evaluated the role of asprosin for DM progress. As we understand it, this is a novel study focused on the relation between diet-induced diabetes and obesity to assess the level of genetic expression of <italic>FBN1</italic> in the brain and enzymatic activity of <italic>PEPCK</italic> in the liver and to demonstrate the influence of oxytocin on some biochemical parameters to combat diabetes.</p>
<p>The obtained results showed increasing significantly in body weight in prediabetic and diabetic (<italic>P</italic> &#x0003C; 0.01, <italic>P</italic> &#x0003C; 0.001), and an increase in glucose release due to diet-induced obesity, along with experimental duration in comparison to the control rats. As a result, we noticed that control rats normally suffer from abundant weight loss starting from the 10th week onwards in all groups. However, it was reported that diabetic rats provoked by streptozotocin suffered from weight loss and they referred to this to a loss in TAG stores and muscle mass, or outlined that it was probably because of the storage of insulin that led to increased amino acid anabolism by tissue synthesis, and enhanced lipolysis and protein breakdown in adipose tissues (<xref ref-type="bibr" rid="B30">30</xref>). As a result, in this investigation, we opted to use diet-induced diabetes and obesity rather than using streptozotocin to avoid conflicting data and to monitor the normal metabolism state correctly. Furthermore, subcutaneous oxytocin injection reduced food intake in rodents and rhesus monkeys, which was linked to higher energy expenditure (<xref ref-type="bibr" rid="B31">31</xref>). In humans, oxytocin has been shown to have an immediate inhibitory effect on food consumption (<xref ref-type="bibr" rid="B32">32</xref>).</p>
<p>Oxytocin is a hormone most generally associated with labor and lactation. It has an extensive range of physiological and pathological functions, which makes oxytocin and its receptor capacity have potential as drug remedies (<xref ref-type="bibr" rid="B33">33</xref>). Oxytocin may additionally have fine metabolic outcomes. This is based totally on the alternate in glucose metabolism, lipid profile, and insulin sensitivity. It may regulate glucose uptake and insulin sensitivity through direct and indirect consequences. It could additionally purpose regenerative changes in diabetic Islet cells of the pancreas. The activation of the oxytocin receptor pathway by means of infusion of oxytocin, oxytocin analogs, or oxytocin agonists may additionally constitute a promising approach for the control of obesity and associated metabolic illnesses in addition to diabetes and its complications. Furthermore, oxytocin improves insulin sensitivity by (1) lowering glucotoxicity and lipotoxicity, (2) regulating cytokines like leptin and adiponectin, and (3) oxytocin decreased fat mass, ensuing in a reduction in the leptin stage (<xref ref-type="bibr" rid="B31">31</xref>).</p>
<p>It is well-known that oxytocin has a useful impact on glucose homeostasis. For instance, 1-month medication of oxytocin has decreased plasma glucose concentrations in monkeys (<xref ref-type="bibr" rid="B31">31</xref>). Moreover, in adults, a single dose of oxytocin proved beneficial in reducing the peak circulating glucose resulting from breakfast ingestion, and significantly improved the sensitivity of insulin, such as decreased insulin concentrations during fasting conditions and HOMA-IR (<xref ref-type="bibr" rid="B32">32</xref>). The obtained results indicated that oxytocin enhanced insulin secretion in animals (<xref ref-type="bibr" rid="B34">34</xref>). In young rats&#x00027; muscle cells, oxytocin triggers glucose uptake (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B35">35</xref>). In rats, the occurrence of oxytocin receptors in the Langerhans islets helps in the regulation of insulin and glucagon absorption. In this context, targeting the oxytocin protocol is advanced as an effective therapeutic strategy for metabolic disorders (<xref ref-type="bibr" rid="B35">35</xref>).</p>
<p>Oxytocin has useful impacts on glucose homeostasis. For instance, 1-month medication of oxytocin decreased plasma glucose concentrations in monkeys (<xref ref-type="bibr" rid="B31">31</xref>). Moreover, in adults, a single dose of oxytocin proved beneficial in reducing the peak circulating glucose resulting from the breakfast ingestion, and significantly improved the sensitivity of insulin, such as decreased insulin concentrations during fasting conditions and HOMA-IR (<xref ref-type="bibr" rid="B32">32</xref>). Our findings are in line with earlier findings, indicating that oxytocin enhanced insulin secretion in animals (<xref ref-type="bibr" rid="B34">34</xref>). In young rats&#x00027; muscle cells, oxytocin triggers glucose uptake (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B35">35</xref>). In rats, the occurrence of oxytocin receptors in the Langerhans islets helps in the regulation of insulin and glucagon absorption. In this context, targeting the oxytocin protocol is advanced as an effective therapeutic strategy for metabolic disorders (<xref ref-type="bibr" rid="B35">35</xref>).</p>
<p>An obese-diabetic patient suffered from lower oxytocin than normal levels in the blood, meaning there is a negative relationship between the release of oxytocin and glucose. However, its involvement in the metabolism and homeostasis of glucose is unknown, particularly in humans (<xref ref-type="bibr" rid="B13">13</xref>). This is because obesity is considered one of the major features of diabetes, and is already seen as an epidemic concern and a public health problem worldwide. The hypothalamus responds to neurotransmitters secreted from the gastrointestinal tract, making the central nervous system a target organ in the control of adiposity (<xref ref-type="bibr" rid="B36">36</xref>). Thus, appetite is a complex neurometabolic feeling that controls the physiological processes in reaction to fasting hormones. We reported that fasting can increase plasma levels of asprosin and induce the hepatic release of glucose, but eating blocks its production (<xref ref-type="bibr" rid="B37">37</xref>). Therefore, oxytocin regulates metabolism by altering eating habits and energy expenditure. Because of the great benefits of using oxytocin for the treatment of diabetes, we decided to treat the control, pre-diabetic, and diabetes groups with <italic>intra</italic>-peritoneal injection of oxytocin as a faster and safer route than other routes of medicine administration as it does not interfere with the rat&#x00027;s physical metabolism.</p>
<p>Oxytocin has been shown to suppress appetite, induce weight loss, and improve glycemic control and lipid metabolism in several species, including humans, monkeys, and rodents. However, oxytocin&#x00027;s short half-life in circulation and lack of receptor selectivity limit its application and efficacy. However, the oxytocin peptide analog (OXT<sup>Gly</sup>) is potent and selective for the oxytocin receptor. Therefore, selective activation of the oxytocin receptor pathway results in both acute and chronic metabolic benefits, whereas potential activation of vasopressin receptors by non-selective oxytocin analogs causes physiological stress that contributes to additional weight loss (<xref ref-type="bibr" rid="B38">38</xref>).</p>
<p>Oxytocin prevents marked deterioration in pancreatic &#x000DF;-cell function with subsequent marked improvement in insulin secretion in comparison to untreated diabetes. This is in line with the findings of other researchers, who stated that oxytocin protected &#x000DF;-cells by acting as an anti-inflammatory and antioxidant, as well as protecting against oxidative stress caused by diet-induced obesity (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B39">39</xref>). Similarly, oxytocin contributed to the control of blood glucose levels as it promoted glucose uptake in rats and its link to insulin secretion is because of the occurrence of receptors of insulin in Langerhans islets (<xref ref-type="bibr" rid="B12">12</xref>). In addition, oxytocin increased &#x000DF;-cell responsiveness and glucose tolerance in healthy people (<xref ref-type="bibr" rid="B9">9</xref>). Furthermore, glucose tolerance improves in response to oxytocin in diet-induced obesity and diabetes through preventing &#x000DF;-cell death from obesity state (<xref ref-type="bibr" rid="B19">19</xref>).</p>
<p>The influence of oxytocin on insulin secretion is regulated centrally through vagal cholinergic neurons, which innervate &#x000DF;-cells, and peripherally through inducing the activities of phosphoinositide and protein <italic>kinase C</italic> in &#x000DF;-cells (<xref ref-type="bibr" rid="B13">13</xref>). Our results confirmed that oxytocin improved &#x000DF;-cell function as evidenced by increased serum insulin in pre-diabetic and diabetic groups, and therefore slightly closed to the values of the control group. Our result was supported by another study stating that pancreatic &#x000DF;-cell function was measured by serum <italic>C</italic>-peptide and insulin (<xref ref-type="bibr" rid="B40">40</xref>). Interestingly, it was found that adipocytes were observed to be smaller in the adipose tissue of rats given oxytocin compared to controls. Thus, the activity of proliferator- receptor-y for modulating the development of adipocytes supports this theory (<xref ref-type="bibr" rid="B41">41</xref>). This inconsistency is probably because of the difference in the research condition as our study evaluated the influence of oxytocin on diabetic rats.</p>
<p>Treated diabetic rats with oxytocin had a considerable drop in blood glucose levels, which was used as a reliable index of diabetic control (<xref ref-type="bibr" rid="B42">42</xref>). This was also supported by oxytocin&#x00027;s decreased blood glucose level in diabetes through its capacity to increase peripheral glucose uptake through an insulin-like signaling pathway (<xref ref-type="bibr" rid="B13">13</xref>). This was further supported by the oxytocin stimulated glucose oxidation and increased lipolysis and fatty acids &#x000DF;-oxidation via its direct effect on adipocytes. Meanwhile, our result was in line with those authors who stated that the production of pancreatic &#x000DF;-cells in diabetic rats is caused by the lower glucose levels in the treated diabetics (<xref ref-type="bibr" rid="B43">43</xref>). However, our results disagreed with those who claimed that treatment of diabetic rats involved increases in their body weights, which they attributed to improved insulin secretion and action (<xref ref-type="bibr" rid="B42">42</xref>) because in the present study we could not ensure weight gain since the weight of the control rat dramatically decreased from the 10th week and the obese rat became partially steady until the end of the experiment at 16th week. Oxytocin-treated diabetic rats showed similarities in body mass with those of healthy rats (<xref ref-type="bibr" rid="B44">44</xref>).</p>
<p>Decreasing the atherogenic index after treatment of diabetes was perfect and they referred to this effect as a decrease in levels of LDL-c (bad cholesterol). It is essential that it is low to avoid transporting cholesterol to the liver from peripheral cells and is a cardioprotective lipid (<xref ref-type="bibr" rid="B45">45</xref>). HDL-c also protects membranes and lipid metabolism from oxidative stress by reverse cholesterol transporting cholesterol from peripheral tissues to the liver (<xref ref-type="bibr" rid="B46">46</xref>).</p>
<p>We also assessed liver function changes in the pre-diabetic group after oxytocin treatment and comparing the results with those of diabetic rats. Findings showed a significant reduction in blood levels of ALT and AST (<italic>P</italic> &#x0003C; 0.01, <italic>P</italic> &#x0003C; 0.001) but significant increases (<italic>P</italic> &#x0003C; 0.05 each) in the blood levels of albumin were found. These results confirmed that oxytocin had protective effects on liver functions in cases of HFHSD-induced diabetes of its early stage.</p>
<p>Our results supported the hypothesis of the study and evidenced the particularly protective effect of oxytocin to inhibit both, neutrophil migration, and the release of pro-inflammatory cytokines (<xref ref-type="bibr" rid="B47">47</xref>). Similarly, there were significant decreases in serum levels of hepatic enzymes ALT (in prediabetic and diabetic, <italic>P</italic> &#x0003C; 0.05 each), AST (in prediabetic and diabetic, <italic>P</italic> &#x0003C; 0.01 each), but the albumin levels in the blood had increased significantly (in prediabetic and diabetic, <italic>P</italic> &#x0003C; 0.05 each) with the treatment of oxytocin-induced diabetes, which agreed with a previous report (<xref ref-type="bibr" rid="B30">30</xref>). Therefore, oxytocin improved the hepatic function of diabetic cases. The results of this study in the post-oxytocin group also demonstrated a significant reduction in serum glucose as well as lipid profile, but a considerable increase in the serum insulin levels, compared to the untreated group; as we mentioned their significance levels above.</p>
<p>The asprosin-related gene is thought to play a role in kidney dysfunction which was evidenced by increasing the serum creatinine conc in prediabetic/diabetic Wistar rats to promote inflammatory responses via the TLR4/JNK-mediated signal pathway. However, oxytocin modulated inflammatory processes, by stimulating phagocyte migration through affecting levels of growth hormone (<xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B49">49</xref>), which here ensures the biological role of oxytocin. The mechanisms underlying oxytocin&#x00027;s effect on glucose homeostasis have yet to be discovered. Thus, glucose sensors have been discovered in oxytocin neurons in the hypothalamic supraoptic nucleus (<xref ref-type="bibr" rid="B50">50</xref>). However, it is unclear if oxytocin&#x00027;s impact in glucose homeostasis is dominated by central or peripheral pathways (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B51">51</xref>), not least because oxytocin may activate its own centers via a releasing mechanism after peripheral injection.</p>
<p>Oxytocin has also been demonstrated to influence the control of cytokines like adiponectin, as well as lowering hyperglycemia and lipotoxicity (<xref ref-type="bibr" rid="B52">52</xref>). To establish the proportional integrations of various metabolic mechanisms involved with oxytocin&#x00027;s glucoregulatory actions, more research on isolated pancreatic islets is needed. Hormonal variables can mediate the glucose-regulating impact of oxytocin as a result of the interplay between additional endocrine signaling systems and oxytocin (<xref ref-type="bibr" rid="B35">35</xref>). The initial increase in insulin concentrations after oxytocin injection, followed by a little drop in peak insulin responses 50 min later, is consistent with reports of oxytocin stimulating insulin production in animals and/or humans (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B53">53</xref>). It is believed that the release of insulin in the first phase is particularly relevant to glucose tolerance, because abnormalities in this route may signal the onset of diabetes changes (<xref ref-type="bibr" rid="B53">53</xref>). However, in healthy patients of normal weight, it was reported that the reduction of the resulting peak glucose responses was independent from the initial insulin release. In healthy people, the effects of oxytocin on glucose tolerance and &#x000DF;-cell responsiveness have been well-investigated.</p>
<p>The decreasing and increasing expressions of asprosin after stress or even exercise, give rise to questions about the mechanism pathway of asprosin (<xref ref-type="bibr" rid="B38">38</xref>). Specifically, asprosin research focused on glucose and lipid metabolism (<xref ref-type="bibr" rid="B14">14</xref>), revealing mechanisms of the metabolic dysfunction of glucose and lipid metabolic dysfunction. However, it is unclear whether asprosin is caused by a protective feedback mechanism or by metabolic abnormalities. In parallel, multiple studies have validated the link between glucose and lipid metabolism. Herein, we are interested to identify the metabolic role of asprosin <italic>in vivo</italic>. In our results, the biochemical parameters indicated an increase of TAG, LDL-c, VLDL-c, and creatinine in diabetics compared to control rats. Furthermore, in diabetic rats fed HFHSD, there was an abnormal lipid profile in the form of elevated TAG, LDL-c, VLDL-c, and TC, but decreased HDL-c and they declared that LDL-c proteins were more vulnerable to oxidation and were considered to be pro-atherogenic.</p>
<p>On assessing liver function changes in obese-diabetic treated rats, increases in the serum levels of ALT and AST were found. These results confirmed the occurrence of deteriorated liver functions and it was evidenced by the presence of intracellular enzymes, high levels of AST and ALT used to assess the hepatocellular injury, in the obese diabetic rat model. Also, it was stated that the presence of elevation in serum ALT in diabetic patients was associated with poorer glycemic control and raised TAG (<xref ref-type="bibr" rid="B24">24</xref>). Therefore, the dysfunctions of the liver in obese-treated rats indicated the significant increases in serum levels of hepatic enzymes. However, a significant decrease in serum albumin levels indicated the incidence of hepatocellular damage. This phenomenon might be due to the oxidative stress that occurred secondary to hyperglycemia, which decreased antioxidant levels and enhanced free radicals (<xref ref-type="bibr" rid="B54">54</xref>). Herein, the albumin level was decreased in the diabetic rat model, which confirmed the occurrence of oxidative stress. While the results of this study in the pre-diabetic group treated with oxytocin recorded a reduction in serum glucose of significance (<italic>P</italic> &#x0003C; 0.05), TAG (<italic>P</italic> &#x0003C; 0.001), LDL-c, and VLDL-c (<italic>P</italic> &#x0003C; 0.01 each), and an abundant increase in serum insulin levels and HDL-c (<italic>P</italic> &#x0003C; 0.05) when compared to the prediabetic group.</p>
<p>In this study, correlations in the obese-treated group between <italic>FBN1</italic> genetic expression and different studied parameters declared positive associations with final body weight (weak correlation), glucose (moderate correlation), insulin in prediabetics (weak correlation), hepatic enzymes (ALT &#x0201C;moderate correlation,&#x0201D; AST &#x0201C;weak correlation&#x0201D;), (TC, TAG, LDL-c, and VLDL-c; moderate correlation each), and creatinine (weak correlation). We also found negative associations with serum insulin in diabetes and albumin (weak correlation each), but HDL-c was not correlated with biochemical parameters. In addition, there is a moderate positive correlation with motor activities like locomotion, general activities, rearing, and stereotyped behaviors. Therefore, these results indicate that changes in asprosin level affected glucose homeostasis, lipid profile, hepatic and renal functions, and subsequently the pathogenesis and complications of DM (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B30">30</xref>).</p>
<p>Literature on the relation between the <italic>FBN1</italic> gene and behavioral disorders is limited. On the other hand, anorexia nervosa has been described as a psychiatric disease marked by self-inflicted weight loss and appetite suppression. Interoceptive awareness includes both the observation and attention to the underlying urges as well as the sensation of the physiological state of the body, such as temperature, pain, hunger, and vasomotor activity. Therefore, the authors of this study believe the aberrant interaction between asprosin and insulin is the responsible link for how insulin plays a key role in anorexia nervosa symptoms and behavioral manifestations (<xref ref-type="bibr" rid="B55">55</xref>). The depressive-like behavior of diabetic-rat might result from increasing circulatory asprosin hormone and/or <italic>FBN1</italic> expression, and therefore oxytocin medication significantly improved these behavioral patterns, such as the locomotion, general activity, distance, stereotypic activity, number of rearing, and movement (<italic>P</italic> &#x0003C; 0.01, <italic>P</italic> &#x0003C; 0.001, <italic>P</italic> &#x0003C; 0.01, <italic>P</italic> &#x0003C; 0.01, <italic>P</italic> &#x0003C; 0.01, and <italic>P</italic> &#x0003C; 0.05, respectively), in a diabetic rat model.</p>
<p>Diabetic rats had a higher level of asprosin in their blood when compared to the prediabetic and control rats. Because plasma asprosin level was altered by pancreatic &#x000DF;-cell function, this could have happened as a result of the progressive increase in blood glucose level and increase in serum insulin level (<xref ref-type="bibr" rid="B56">56</xref>). In our previous review, we found that an asprosin-specific monoclonal antibody diminished circulating asprosin and enhanced insulin sensitivity in rats with insulin resistance (<xref ref-type="bibr" rid="B38">38</xref>). Our results revealed that <italic>FBN1</italic>-<italic>mRNA</italic> expression is significantly increased in prediabetic and diabetic Wistar rats (<italic>P</italic> &#x0003C; 0.01 each) due to HFHSD compared with those in healthy controls. As previously suggested, the increase in <italic>FBN1</italic> expression may be linked to the increase in body weights and changes in serum glucose and insulin in obese-treated rats (<xref ref-type="bibr" rid="B3">3</xref>). This confirmed that <italic>FBN1</italic> genetic expression fluctuated depending on the alterations of glucose and insulin levels in the blood and subsequently, glucose served as a helper of circulating asprosin levels. They also declared that an increased asprosin level was accompanied by increased insulin secretion glucose metabolism (<xref ref-type="bibr" rid="B57">57</xref>). This means that serum asprosin concentrations were abundantly increased in diabetic progress. Meanwhile, <italic>FBN1</italic> expression was considerably reduced in both diabetic and healthy rats (<italic>P</italic> &#x0003C; 0.01, <italic>P</italic> &#x0003C; 0.001, respectively), in post-oxytocin groups in comparison to the untreated ones. This may be due to the changes that occurred in serum levels of glucose and insulin, which confirmed that asprosin had a role in the pathogenesis of obese-induced diabetes.</p>
<p>The obtained results are in parallel to previous results (<xref ref-type="bibr" rid="B6">6</xref>), which indicated that the concentration of asprosin hormone was shown to be significantly greater in diabetic individuals, implying that this hormone could be a risk factor for T2DM pathogenesis. It means that the circulatory asprosin is gradually increased in new-onset T2DM patients and severe diabetic ones. Hence, <italic>FBN1</italic> genetic expression indicated the evidence of asprosin level/expression. It, therefore, could be considered a new biomarker to make the best prognosis of diabetes.</p>
<p>The <italic>PEPCK</italic> is the main enzyme that regulates glycogenolysis and gluconeogenesis. Enhanced <italic>PEPCK</italic> gene expression in the hepatic tissues was confirmed in the diabetes model and linked to increased glycogenolysis, according to this study. Insulin inhibits gluconeogenesis and down-regulated the <italic>mRNA</italic> encoded <italic>PEPCK</italic> (<xref ref-type="bibr" rid="B58">58</xref>). As a result, in diabetic rats, the PEPCK expression increased, whereas it decreased in oxytocin therapy groups. The results of this investigation are similar to those of a prior study (<xref ref-type="bibr" rid="B59">59</xref>, <xref ref-type="bibr" rid="B60">60</xref>), which reported insulin-regulated <italic>PEPCK mRNA</italic> expression levels in diabetic rats. Insulin regulates <italic>PEPCK</italic> activity at the transcriptional level. Glucose synthesis was suppressed by <italic>PEPCK</italic> gene transcription when insulin levels were high. Herein, because circulating insulin levels were lower in oxytocin-treated rats than controls, insulin levels could be affected by changes in hepatic glucose-regulating enzymes (<xref ref-type="bibr" rid="B61">61</xref>). In diabetic rats, hepatic glycogenolysis controlled plasma glucose levels, suggesting that <italic>glycogen phosphorylase</italic> inhibitors may be effective in the treatment of diabetes (<xref ref-type="bibr" rid="B62">62</xref>).</p>
<p>The <italic>PEPCK-C</italic> catalyzes an irreversible step of gluconeogenesis, the process whereby glucose is synthesized. The enzyme has therefore been thought to be essential in glucose homeostasis, as evidenced by laboratory mice that contracted diabetes mellitus type 2 as a result of the overexpression of <italic>PEPCK-C</italic> (<xref ref-type="bibr" rid="B63">63</xref>). The role that <italic>PEPCK-C</italic> plays in gluconeogenesis may be mediated by the citric acid cycle, the activity of which was found to be directly related to <italic>PEPCK-C</italic> abundance (<xref ref-type="bibr" rid="B64">64</xref>). The same author reported that <italic>PEPCK-C</italic> levels alone were not highly correlated with gluconeogenesis in the mouse liver, as previous studies have suggested. While the mouse liver almost exclusively expresses <italic>PEPCK</italic>, humans equally present a mitochondrial isozyme (<italic>PEPCK-M</italic>). The <italic>PEPCK-</italic>M has gluconeogenic potential <italic>per se</italic> (<xref ref-type="bibr" rid="B65">65</xref>).</p>
<p>Insulin-resistant rats have pathologically elevated plasma oxytocin levels. A decrease in its function due to immunological or genetic factors leads to stronger glucose, which has the effect of reducing insulin as a result of glucose deficiency in the liver (<xref ref-type="bibr" rid="B14">14</xref>). From the view of the cross-section, the diverse histological alterations detected in variant organs involving pancreas, liver, and kidney after induction of diabetes and obesity comprised necrosis with destructive damage, besides congestion of the blood vessels. This eventually resulted from distinct oxidative stress attributed to chronic persistent hyperglycemia as well as hyperlipidemia, which impaired the antioxidant defense system, and thus damaged cell membranes resulting in a release of reactive oxygen species (ROS) (<xref ref-type="bibr" rid="B66">66</xref>). Furthermore, excessive ROS is linked to decreased insulin production and release, as well as a variety of organs including the liver, kidney, and the hematopoietic system (<xref ref-type="bibr" rid="B67">67</xref>). We confirmed an elevation in the hepatic enzymes like ALT, AST of diabetic rats supplemented on HFHSD, which led to fatty degeneration of hepatocytes. This is dues to leakage from enzyme cells cytosols into the blood circulation, a detrimental effect of obesity negatively affecting liver integrity that leads to hepatic injury and extensive damage through the release of oxidative free radicals (<xref ref-type="bibr" rid="B68">68</xref>).</p>
<p>In addition to the previous results, the elevated level of serum creatinine due to diabetes correlated with extensive damage and necrosis observed in the kidney under influence of the damaged pancreatic cells (<xref ref-type="bibr" rid="B69">69</xref>). Contradictory, oxytocin could to some extent restore and correct the destructive effect induced in tissues by diabetes. Oxytocin could avoid &#x003B2;-cells apoptosis, damage with the maintenance of its neogenesis (<xref ref-type="bibr" rid="B70">70</xref>). The histological view indicates an improvement in biochemical findings. Oxytocin has been shown to have antioxidant and anti-inflammatory properties (<xref ref-type="bibr" rid="B71">71</xref>). It has an anti-diabetic effect by lowering oxidative damage and inflammation in &#x003B2;-cells. Meanwhile, variable antidiabetic drugs act on peripheral tissues and do not directly affect pancreatic islets (<xref ref-type="bibr" rid="B72">72</xref>). However, the &#x000DF;-cell inflammatory process occurred as a result of dyslipidemia, hyperglycemia, increased circulating pro-inflammatory adipocytokines, and toxic molecules such as ROS, which acted significantly in islet cell death by inducing <italic>DNA</italic> damage (<xref ref-type="bibr" rid="B73">73</xref>). Moreover, it was reported that <italic>C-</italic>peptide was formed in &#x000DF;-cell of the pancreas by cleavage of pro-insulin to an equal amount of <italic>C-</italic>peptide and insulin, which indicates that endogenous insulin production can be measured using <italic>C</italic>-peptide (<xref ref-type="bibr" rid="B40">40</xref>). These results confirmed that exogenous oxytocin treatment after induction of diabetes by HFHSD improved manifestations of DM. Therefore, a typical diabetic profile was achieved by combining all biochemical, molecular, and behavioral investigations with asprosin hormones appearing to be a master key in targeting a possible biomarker in T2DM.</p>
<p>In this study, correlations in the obese-treated group between <italic>FBN1</italic> genetic expression and different studied parameters revealed positive associations with final body weight (weak correlation), glucose (moderate correlation), insulin in prediabetics (weak correlation), hepatic enzymes (ALT &#x0201C;moderate correlation,&#x0201D; AST &#x0201C;weak correlation&#x0201D;), (TC, TAG, LDL-c, and VLDL-c; moderate correlation each), and creatinine (weak correlation. There were also positive correlations with serum insulin in diabetes and albumin (weak correlation each), but HDL-c was not correlated with biochemical parameters. In addition, there is a moderate positive correlation with motor activities like locomotion, general activities, rearing, and stereotyped behaviors. Therefore, these results declared that asprosin level changes affected glucose homeostasis, lipid profile, hepatic and renal functions, and subsequently the pathogenesis and complications of DM (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B30">30</xref>). However, further studies have revealed that a selective oxytocin peptide analog should be used for the long action. The biochemical influences of asprosin on different body organs under different metabolic syndrome should also be performed. In addition, studies should analyze the serum asprosin hormone level in diabetic patients to confirm the effect of the asprosin-related gene (<italic>FBN1</italic>).</p>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusions</title>
<p>Diabetic-associated obesity is an increasingly common disease that takes a deadly toll on human health, leading to several complications. A biomarker of diabetes is needed to predict its prognosis. Our results indicated that the asprosin related gene (<italic>FBN1</italic>) was closely associated with body weight, glucose metabolism, and insulin secretion in all groups including healthy and diseased rats. Oxytocin was used as antidiabetic and antiobesity effects to suppress appetite and improve glycemic and lipid profiles. The <italic>FBN1</italic> gene was significantly correlated with a profile of adiposity, glucose, and insulin metabolism, even after adjusting for age. After the subgroup analyses, we noticed that the average <italic>FBN1</italic> expression was higher in overweight/obese subgroups. Asprosin levels were significantly decreased in cases of post-oxytocin treatment in comparison with the control Wistar rats and with the group fed HFHSD. On the other hand, oxytocin improved motor activities in diabetic rats and after oxytocin therapy. It modulated the pathological lesions of internal organs in diabetic rats. The <italic>FBN1</italic> gene was significantly correlated with a profile of adiposity, glucose, and insulin metabolism, even after adjusting for age in the obesity-induced T2DM. Therefore, the genetic expression of <italic>FBN1</italic> and <italic>PEPCK</italic> enzyme activity in diabetic rats and after oxytocin therapy indicated the possibility that asprosin could be a biomarker of diabetes progression.</p>
</sec>
<sec sec-type="data-availability" id="s6">
<title>Data Availability Statement</title>
<p>The data presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author/s.</p>
</sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>The animal study was reviewed and approved by Institutional Review Board Statement: Animal Experimental Guidelines were followed, and the Animal Care and Use Committee of the Vet-Med Faculty, Zagazig University, Egypt, authorized protocol number ZU-IACUC/2/F/21/2019.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>AE, KE-D, HE-B, EM, MY, and IR jointly developed the hypothesis and carried out the main study. OS, ZA-A, EM, SA, SC, and SF were all involved in the experimental procedures and analyses. All of the authors participated in the experimental analysis and they helped with the manuscript&#x00027;s rewriting. All authors read and approved the final manuscript.</p>
</sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>The authors would like to express their gratitude to the King Saud University (Riyadh, Saudi Arabia) for the funding of this research through Researchers Supporting Project number (RSP-2021-241). This work was also supported by Grant No. 2505 from the Science and Technology Development Fund (STDF), Egypt.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x00027;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
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<ack><p>We express our sincere gratitude to the Veterinary Medicine Faculties at Zagazig, South Valley, and Menofia universities for supporting us. We greatly appreciate the referees efforts in evaluating this article.</p>
</ack>
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