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<article xml:lang="en" article-type="research-article" 
    xmlns:mml="http://www.w3.org/1998/Math/MathML" 
    xmlns:xlink="http://www.w3.org/1999/xlink">
    <front>
        <journal-meta>
            <journal-id journal-id-type="publisher-id">PSJFS</journal-id>
            <journal-title-group>
                <journal-title>Potravinarstvo Slovak Journal of Food Sciences</journal-title>
                <abbrev-journal-title abbrev-type="pubmed">Potr. S. J. F. Sci.</abbrev-journal-title>
            </journal-title-group>
            <issn pub-type="ppub">1338-0230</issn>
            <issn pub-type="epub">1337-0960</issn>
            <publisher>
                <publisher-name>Association HACCP Consulting</publisher-name>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="publisher-id">PSJFS-14-1-836
            </article-id>
            <article-id pub-id-type="doi">10.5219/1375
            </article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>ARTICLE</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>DIETARY SUPPLEMENTATION WITH MAGNESIUM CITRATE MAY IMPROVE PANCREATIC METABOLIC INDICES IN AN ALLOXAN-INDUCED DIABETES RAT MODEL
                </article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Shatynska
                        </surname>
                        <given-names>Olena
                        </given-names>
                    </name>
                    <xref ref-type="aff" rid="aff1" />
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <surname>Tokarskyy
                        </surname>
                        <given-names>Oleksandr
                        </given-names>
                    </name>
                    <xref ref-type="corresp" rid="cor1">&#x002A;</xref>
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <surname>Lykhatskyi
                        </surname>
                        <given-names>Petro
                        </given-names>
                    </name>
                    <xref ref-type="aff" rid="aff3" />
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <surname>Yaremchuk
                        </surname>
                        <given-names>Olha
                        </given-names>
                    </name>
                    <xref ref-type="aff" rid="aff4" />
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <surname>Bandas
                        </surname>
                        <given-names>Iryna
                        </given-names>
                    </name>
                    <xref ref-type="aff" rid="aff5" />
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <surname>Mashtalir
                        </surname>
                        <given-names>Andrii
                        </given-names>
                    </name>
                    <xref ref-type="aff" rid="aff6" />
                </contrib>
                <aff id="aff1">
                    <institution>Olena Shatynska, Ternopil National Medical University, Department of Medical Biochemistry, Maidan Voli 1, 46001, Ternopil, Ukraine, Tel: +380973423525, E-mail: shatynska@tdmu.edu.ua
                    </institution>
                </aff>
                <aff id="aff3">
                    <institution>Petro Lykhatskyi, Ternopil National Medical University, Department of Medical Biochemistry, Maidan Voli 1, 46001, Ternopil, Ukraine, Tel: +380974433614, E-mail: luhatsky@tdmu.edu.ua
                    </institution>
                </aff>
                <aff id="aff4">
                    <institution>Olha Yaremchuk, Ternopil National Medical University, Department of Medical Biochemistry, Maidan Voli 1, 46001, Ternopil, Ukraine, Tel: +380961398994, E-mail: yaremchuk@tdmu.edu.ua
                    </institution>
                </aff>
                <aff id="aff5">
                    <institution>Iryna Bandas, Ternopil National Medical University, Department of Medical Biochemistry, Maidan Voli 1, 46001, Ternopil, Ukraine, Tel: +380977982333, E-mail: bandas@tdmu.edu.ua
                    </institution>
                </aff>
                <aff id="aff6">
                    <institution>Andrii Mashtalir, Ternopil National Medical University, Department of Higher Education Pedagogy and Social Sciences, Doroshenko Street 7, 46001, Ternopil, Ukraine, Tel: +380671482843, E-mail: mashtalir_ai@tdmu.edu.ua
                    </institution>
                </aff>
            </contrib-group>
            <author-notes>
                <corresp id="cor1">
                    <label>&#x002A;</label>Corresponding author: Oleksandr Tokarskyy, Ternopil National Medical University, Department of Medical Biochemistry, Maidan Voli 1, 46001, Ternopil, Ukraine, Tel: +380964102536,
                    <email xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="otokarsky@tdmu.edu.ua">
                    </email>
                </corresp>
            </author-notes>
            <pub-date pub-type="epub">
                <day>28</day>
                <month>9</month>
                <year>2020</year>
            </pub-date>
            <pub-date pub-type="ppub">
                <month>9</month>
                <year>2020</year>
            </pub-date>
            <volume>14</volume>
            <issue>1</issue>
            <fpage>836
            </fpage>
            <lpage>846
            </lpage>
            <history>
                <date date-type="received">
                    <day>4
                    </day>
                    <month>5
                    </month>
                    <year>2020</year>
                </date>
                <date date-type="accepted">
                    <day>14
                    </day>
                    <month>9
                    </month>
                    <year>2020</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>&#x00A9; Association HACCP Consulting. All rights reserved.</copyright-statement>
                <copyright-year>2020</copyright-year>
            </permissions>
            <abstract>
                <p>The purpose of the current study was to evaluate the protective properties of dietary magnesium supplementation on pancreatic tissue of rats with alloxan-induced <italic>diabetes mellitus</italic>. Twenty-five male Wistar rats were split into five groups (control, diabetes, diabetes with 100 mg Mg daily, diabetes with 250 mg Mg daily, diabetes with 500 mg Mg daily) with feeding supplementation starting on day 1, diabetes induction on day 21, and animal sacrifice on day 30. Fasting glucose in blood serum was measured on days 21, 25, 27, and day 30. Glucose metabolism enzymes, namely, lactate dehydrogenase and glucose-6-phosphate dehydrogenase, were measured in pancreatic tissue upon the sacrifice, as well as lipid peroxidation, antioxidant system protective enzymes (catalase and superoxide dismutase), and glutathione system components (glutathione reductase, glutathione peroxidase, and glutathione reduced). Pearson correlation coefficients showed strong negative correlation between serum glucose (control and diabetic animals) and glucose metabolism enzymes, catalase, superoxide dismutase, glutathione peroxidase in pancreatic tissue (r >-0.9, <italic>p</italic> &#x3C;0.05), moderate negative correlation with reduced glutathione (r = -0.79, <italic>p</italic> &#x3C;0.05), moderate positive correlation with lipid peroxidation index (r = +0.67, <italic>p</italic> &#x3C;0.05), weak correlation with glutathione reductase (r = -0.57, <italic>p</italic> &#x3C;0.05). Magnesium supplementation slowed down diabetes onset considering fasting glucose levels in rats (<italic>p</italic> &#x3C;0.05), as well as partially restored investigated dehydrogenase levels in the pancreas of rats comparing to diabetes group (<italic>p</italic> &#x3C;0.05). The lipid peroxidation index varied between treatments showing the dose-dependent influence of Mg2+. Magnesium supplementation partially restored catalase and superoxide dismutase activities in pancreatic tissue, as well as glutathione peroxidase and reduced glutathione levels (<italic>p</italic> &#x3C;0.05), while glutathione reductase levels remained unaffected (<italic>p</italic> &#x3E;0.05). The obtained results suggested a model, where magnesium ions may have a possible protective effect on pancreatic tissue against the negative influence of alloxan inside &#x3B2; cells of the pancreas.
                </p>
                <p>
                    <bold>Keywords:</bold> alloxan; diabetes; rat model; magnesium oral supplementation; pancreas
                </p>
            </abstract>
        </article-meta>
    </front>
    <body>
        <sec sec-type="intro">
            <title>INTRODUCTION</title>
            <p>
                <italic>Diabetes mellitus</italic> is a major health-related problem worldwide, with the number of people with diabetes increasing from 108 million in 1980 to 422 million in 2014, according to the WHO (<xref ref-type="bibr" rid="b44">WHO, 2018</xref>). Dietary habits, together with a genetic predisposition, may influence <italic>diabetes mellitus</italic> development in healthy individuals. Magnesium is a macroelement involved in virtually all biochemical pathways in cells (<xref ref-type="bibr" rid="b7">de Baaij, Hoenderop and Bindels, 2015</xref>). Considering its importance, the serum Mg<sup>2+</sup> levels are maintained between 0.7 and 1.05 mM level in blood serum (<xref ref-type="bibr" rid="b7">de Baaij, Hoenderop and Bindels, 2015</xref>). Low serum Mg<sup>2+</sup> levels could be attributed to either dietary restriction, impaired intestinal absorption, or increased renal wasting. Hypomagnesemia has been long reported as a risk factor for type 2 <italic>diabetes mellitus</italic> development, as a contributing reason for (<xref ref-type="bibr" rid="b8">Dong et al., 2011</xref>), as well as a consequence of insulin resistance (<xref ref-type="bibr" rid="b30">Pham et al., 2007;</xref> <xref ref-type="bibr" rid="b18">Chaudhary, Sharma and Bansal, 2010</xref>). &#x201C;A vicious cycle&#x201D; of hypomagnesemia described by <xref ref-type="bibr" rid="b12">Gommers et al. (2016)</xref> implies the necessity of Mg<sup>2+</sup> for insulin receptor autophosphorylation and therefore preventing insulin resistance from one side, while circulating excess of insulin being able to activate renal Mg<sup>2+</sup> channel transient receptor potential melastatin type 6, which stimulates the secretion of Mg<sup>2+</sup> with urine. Magnesium influences glucose metabolism and insulin action in several ways. Firstly, it is involved in the autophosphorylation of &#x3B2;-subunits of insulin receptor through tyrosine kinase activity binding to ATP. Rats with hypomagnesemia had reduced levels of the phosphorylated insulin receptor, mimicking insulin resistance (<xref ref-type="bibr" rid="b29">Paxton and Ye, 2005;</xref> <xref ref-type="bibr" rid="b37">Su&#xE1;rez et al., 1995</xref>). Secondly, recent studies showed that oral Mg<sup>2+</sup> supplementation increased GLUT1 and GLUT4 expression in muscles of STZ-induced diabetic rats and mice, resulting in lowering serum glucose levels and its uptake by muscle tissue (<xref ref-type="bibr" rid="b5">Biddinger and Kahn, 2006;</xref> <xref ref-type="bibr" rid="b36">Solaimani et al., 2014</xref>). Thirdly, Mg<sup>2+</sup> is an important anti-inflammatory mediator, and hypomagnesemia increased production of proinflammatory interleukin 1, tumor necrosis factor-&#x3B1; by adipocytes, causing the production of reactive oxygen species that may lead to chronic inflammation, insulin resistance, and reduced GLUT4 activity (<xref ref-type="bibr" rid="b33">Rodriguez-Moran and Guerrero-Romero, 2004;</xref> <xref ref-type="bibr" rid="b42">Weglicki et al., 1992</xref>). And finally, Mg<sup>2+</sup> affects insulin production in pancreatic &#x3B2; cells. Under normal physiological conditions, increased blood glucose levels stimulate the influx of glucose into &#x3B2;-cell via GLUT2 transporter, followed by its conversion to glucose-6-phosphate (G6P) by glucokinase, which is a &#x201C; glucose sensor&#x201D; for insulin secretion. G6P is further metabolized through glycolysis and Krebs cycle, producing ATP, excess of which directly induces closure of K<sub>ATP</sub> channel Kir6.2. Closure of this channel causes depolarization of plasma membrane, the opening of a voltage-dependent influx of Ca<sup>2+</sup> ions, which causes exocytosis of insulin into the bloodstream. From one side, Mg<sup>2+</sup> directly positively influences glucokinase activity by acting as a cofactor of adenine nucleotides, though it may be happening even at sub-physiological levels. Conversely, Mg<sup>2+</sup> initiates K<sub>ATP</sub> channel opening through MgATP, negatively affecting L-type Ca<sup>2+</sup> channels, an influx of Ca<sup>2+</sup> into &#x3B2; cells, and restraining insulin release. However, those are short-time negative consequences, while in a long run Mg<sup>2+</sup> may improve &#x3B2; cells functionality, similar to cardiomyocytes, where low Mg<sup>2+</sup> level was shown to decrease expression of L-type Ca<sup>2+</sup> channels (<xref ref-type="bibr" rid="b12">Gommers et al., 2016</xref>). It was shown that in humans without diabetes decreased serum Mg<sup>2+</sup> was associated with decreased insulin secretion (<xref ref-type="bibr" rid="b34">Rodr&#xED;guez-Mor&#xE1;n and Guerrero-Romero, 2011</xref>). Similarly, supplementation of individuals without diabetes with MgCl<sub>2</sub> significantly improved &#x3B2;-cell function and insulin secretion (<xref ref-type="bibr" rid="b15">Guerrero-Romero and Rodr&#xED;guez-Mor&#xE1;n, 2011</xref>).</p>
            <p>Alloxan is a cytotoxic glucose analog, which selectively binds to GLUT2 receptors of pancreatic &#x3B2; cells and enters them, causing necrotic cell death, thus modeling type 1 diabetes (<xref ref-type="bibr" rid="b22">Lenzen, 2008</xref>). Alloxan is highly unstable in solutions with neutral pH and bloodstream and decomposes to alloxanic acid within minutes (<xref ref-type="bibr" rid="b38">Szkudelski, 2001</xref>). A single intraperitoneal injection of 150 mg.kg<sup>-1</sup> of live weight is sufficient to cause alloxan-induced diabetes in fasting rats, causing permanent hyperglycemia between 24 to 48 hours post-injection (<xref ref-type="bibr" rid="b20">Ighodaro, Adeosun and Akinloye, 2017</xref>). Being a thiol reagent, alloxan inhibits glucokinase (&#x201C;glucose sensor&#x201D;), and, therefore, glucose phosphorylation in &#x3B2; cells, initially causing rapid ATP increase followed by rapid insulin secretion and severe hypoglycemia, followed by halting and inhibition of insulin secretion (<xref ref-type="bibr" rid="b38">Szkudelski, 2001;</xref> <xref ref-type="bibr" rid="b22">Lenzen, 2008;</xref> <xref ref-type="bibr" rid="b20">Ighodaro, Adeosun and Akinloye, 2017</xref>). More importantly, alloxan enters redox cyclic reaction coupled with its oxidized form, dialuronic acid, which spontaneously autooxidizes to generate toxic superoxide radicals and hydrogen peroxide, commonly known as reactive oxygen species (ROS) (<xref ref-type="bibr" rid="b28">Munday, 1988;</xref> <xref ref-type="bibr" rid="b43">Winterbourn and Munday, 1989;</xref> <xref ref-type="bibr" rid="b22">Lenzen, 2008</xref>). Thiol groups, specifically, but not limited, to reduced glutathione are required for dialuronic acid production (<xref ref-type="bibr" rid="b38">Szkudelski, 2001</xref>). A temporary compound of alloxan-glutathione, namely, &#x201C;compound 305&#x201D;, is formed during each cycle, resulting in decreased GSH/GSSG ratio and depletion of reduced glutathione (<xref ref-type="bibr" rid="b28">Munday, 1988;</xref> <xref ref-type="bibr" rid="b38">Szkudelski, 2001</xref>). The ultimate damage is caused by another ROS, hydroxyl radicals, which acts together with superoxide radicals and hydrogen peroxide, causing massive cellular damage, and ultimately apoptosis. Interestingly, few reviews noted massive Ca<sup>2+</sup> influx in &#x3B2; cells and subsequent disruption of intracellular calcium homeostasis as one of the major reasons for &#x3B2; cell necrosis as well (<xref ref-type="bibr" rid="b38">Szkudelski, 2001;</xref> <xref ref-type="bibr" rid="b2">Ankur and Shahjad, 2012</xref>). Antioxidant enzymes, namely, superoxide dismutase (transforming superoxide radical into hydrogen peroxide), and catalase (transforming hydrogen peroxide into water and oxygen), protect cells against ROS produced by alloxan (<xref ref-type="bibr" rid="b14">Grankvist et al., 1979;</xref> <xref ref-type="bibr" rid="b43">Winterbourn and Munday, 1989</xref>). Glutathione peroxidase also detoxifies cells from hydrogen peroxide, though it requires reduced glutathione as a substrate. Cell debris, produced by necrotic dying &#x3B2; cells, are quickly scavenged by macrophages.</p>
            <p>The purpose of the current study was to evaluate the influence of magnesium dietary supplementation on the duration and late progression of alloxan-induced diabetes related to pancreatic metabolic indices, including enzymes of glucose metabolism (lactate dehydrogenase, LDH, and glucose-6-phosphate dehydrogenase, G6PD), state of lipid oxidation (lipid hydroperoxide, LOOH), antioxidant enzymes (catalase, CAT, and superoxide dismutase, SOD), and glutathione system (glutathione peroxidase, G-Per, glutathione reductase, G-Red, and reduced glutathione, GSH). To the best of our knowledge, this study relative to pancreatic health state after late progression of alloxan-induced diabetes, with or without oral magnesium supplementation, was not performed yet. Additionally, we measured fasting serum glucose levels in rats with alloxan-induced diabetes, with or without dietary magnesium supplementation, as a time-dependent variable influenced by diabetes onset and progression.</p>
            <sec>
                <title>Scientific hypothesis</title>
                <p>We hypothesize that magnesium supplementation will not prevent, but may reduce the toxic effects of alloxan on pancreatic &#x3B2; cells. This may include the restoration of pancreatic glucose metabolism enzyme function back to the levels of the healthy control rats; decrease in LOOH comparing to alloxan-treated rats, reducing their levels back to the levels found in healthy control rats; activation of CAT and SOD, as protectors against ROS; increase in levels of G-SH and glutathione system enzymes, namely, G-Red and G-Per. Additionally, we hypothesize that magnesium supplementation may reduce fasting blood glucose levels in alloxan-induced diabetic rats due to the improved pancreatic function.</p>
            </sec>
        </sec>
        <sec sec-type="materials|methods">
            <title>MATERIALS AND METHODOLOGY</title>
            <sec>
                <title>The alloxan-induced diabetes rat model</title>
                <p>Twenty-five white Wistar rats (ca. 140 g each, same age) were used for the experiments. The animals were kept in cages under standard conditions (20 – 25 &#xB0;C, 40 – 45% air relative humidity) with free access to compound feed, while water was strictly supplemented (20 mL daily). Compound feed composition remained unknown. All procedures with animals were carried out according to the &#x201C;European Convention for the Protection of Vertebrate Animals for Experimental and Other Scientific Purposes&#x201D; (Strasbourg, France, Council of Europe, March 18, 1986) and were approved by the local institutional ethical committee.</p>
                <p>The rats were divided into five groups, 5 rats per group: intact control (group 1, C); induced diabetes (group 2, D); magnesium supplementation (100 mg Mg<sup>2+</sup> kg <sup>1</sup> weight, daily dose) with diabetes (group 3, Mg100-D); magnesium (250 mg.kg<sup>-1</sup>) with diabetes (group 4, Mg250-D); magnesium (500 mg.kg<sup>-1</sup>) with diabetes (group 5, Mg500-D). Day 0 was the date of dietary supplementation start, while alloxan induction of diabetes was performed on day 21, and all animals were sacrificed on day 30. Magnesium citrate (C<sub>6</sub>H<sub>6</sub>O<sub>7</sub>Mg) was dissolved in tap water in the amount of 6.17, 15.44, and 30.88 mg per mL corresponding to 14, 35, or 70 mg Mg<sup>2+</sup> in 20 mL water per animal, which relates to 100, 250, and 500 mg Mg<sup>2+</sup> per kg of live weight. A single intraperitoneal injection of alloxan monohydrate (&#x22;Sinbias&#x22;, Ukraine) in 0.85% physiological saline was performed on each rat from groups 2, 3, 4, and 5 (150 mg.kg<sup>-1</sup> of body weight) after 24-hours fasting on the 21<sup>st</sup> day from the start of the experiment. All animals were sacrificed under ether anesthesia by decapitation on day 30, followed by removal of the pancreas within 2 minutes after the death. The removed pancreas was kept on ice for 5 to 6 minutes followed by bleeding through repeated perfusion with physiological saline (0.85% NaCl, 4 &#xB0;C). The pancreas was chopped coarsely by scissors. One gram of chopped tissue was homogenized with 9.0 mL of 5 mM Tris-HCl buffer (1:10 dilution), pH 7.4, for 50 seconds at 0 &#xB0;C (MRTU-421505-63, Ukraine). The homogenate was filtered through two layers of cheesecloth into a centrifuge tube followed by centrifugation (3,000 g, 10 minutes, 0 &#xB0;C). The supernatant was used immediately for biochemical markers quantification and called &#x201C;tissue sample&#x201D; throughout the research paper.</p>
                <p>All reagents used for the experiments, if not specified, were of laboratory grade or better.</p>
            </sec>
            <sec>
                <title>Fasting blood serum glucose determination</title>
                <p>Glucose determination was done on venous blood drawn from rat tails using glucose oxidase method (Gamma TM mini glucometer) after at least 6-hours fasting on days 21, 23, 25, 27, and day 30 (sacrifice day). The principle of the method is based on the reaction catalyzed by glucose oxidase:</p>
                <p>
                    <disp-formula id="M1">
                        <label>(1)</label>
                        <mml:math display='block' xmlns:mml='http://www.w3.org/1998/Math/MathML' id="Eq1">
                            <mml:semantics>
                                <mml:mrow>
                                    <mml:msub>
                                        <mml:mrow>
                                            <mml:mtext>Glucose&#x00A0;+&#x00A0;O</mml:mtext>
                                        </mml:mrow>
                                        <mml:mtext>2</mml:mtext>
                                    </mml:msub>
                                    <mml:mo>&#x2009;</mml:mo>
                                    <mml:mo>&#x2192;</mml:mo>
                                    <mml:msub>
                                        <mml:mrow>
                                            <mml:mtext>Glucolactone&#x00A0;+&#x00A0;H</mml:mtext>
                                        </mml:mrow>
                                        <mml:mtext>2</mml:mtext>
                                    </mml:msub>
                                    <mml:msub>
                                        <mml:mtext>O</mml:mtext>
                                        <mml:mtext>2</mml:mtext>
                                    </mml:msub>
                                </mml:mrow>
                            </mml:semantics>
                        </mml:math>
                    </disp-formula>
                </p>
                <p>using test strips and calibration strips supplied by the manufacturer.</p>
            </sec>
            <sec>
                <title>Lipid hydroperoxide (LOOH) determination</title>
                <p>LOOH determination is based on the interaction of ethanol extracts of lipid hydroperoxides with ammonium thiocyanate after precipitation of proteins with trichloroacetic acid (TCA). The original method developed by <xref ref-type="bibr" rid="b41">Wagner, Clever and Peters (1947)</xref>, and later updated and modified by <xref ref-type="bibr" rid="b25">Mihaljevi&#x107;, Katu&#x161;in-Ra&#x17E;em and Ra&#x17E;em (1996)</xref>, was adapted. Briefly, 0.2 mL of tissue sample was placed in a centrifuge tube with 2.8 mL of ethanol (95%) and 0.05 mL of 50% TCA at 4 &#xB0;C. The tube was tightly closed and shaken for 5 minutes, followed by centrifugation, resulting in protein precipitation (3,000 g, 10 minutes, 4 &#xB0;C). 1.5 mL of the resulting supernatant was mixed with 1.2 mL of ethanol, 0.02 mL of concentrated HCl, and 0.03 mL of 1% Mohr&#x2019;s salt, Fe(NH<sub>4</sub>)<sub>2</sub>(SO<sub>4</sub>)<sub>2</sub>, in 3% HCl. The mixture was shaken, followed by addition of 0.2 mL of 20% NH<sub>4</sub>SCN. Optical absorbance (A<sub>480</sub>) was measured after 10 minutes of incubation time (spectrophotometer UNICO S1205, &#x3BB; = 480 nm). The control sample was prepared by tissue sample replacement with 0.2 mL of deionized water. LOOH in samples was calculated using the following equation:</p>
                <p>
                    <disp-formula id="M2">
                        <label>(2)</label>
                        <mml:math display='block' xmlns:mml='http://www.w3.org/1998/Math/MathML' id="Eq2">
                            <mml:semantics>
                                <mml:mrow>
                                    <mml:msub>
                                        <mml:mrow>
                                            <mml:mtext>&#x0394;A</mml:mtext>
                                        </mml:mrow>
                                        <mml:mrow>
                                            <mml:mtext>480</mml:mtext>
                                        </mml:mrow>
                                    </mml:msub>
                                    <mml:mo>&#x2009;</mml:mo>
                                    <mml:mtext>LOOH</mml:mtext>
                                    <mml:msup>
                                        <mml:mrow>
                                            <mml:mtext>.g</mml:mtext>
                                        </mml:mrow>
                                        <mml:mrow>
                                            <mml:mtext>-1</mml:mtext>
                                        </mml:mrow>
                                    </mml:msup>
                                    <mml:mo>&#x2009;</mml:mo>
                                    <mml:mtext>=</mml:mtext>
                                    <mml:mo>&#x2009;</mml:mo>
                                    <mml:mtext>DF</mml:mtext>
                                    <mml:mo>&#x2009;</mml:mo>
                                    <mml:mtext>x</mml:mtext>
                                    <mml:mo>&#x2009;</mml:mo>
                                    <mml:mrow>
                                        <mml:mo>(</mml:mo>
                                        <mml:mrow>
                                            <mml:msub>
                                                <mml:mtext>A</mml:mtext>
                                                <mml:mrow>
                                                    <mml:mtext>480</mml:mtext>
                                                    <mml:mo>&#x2009;</mml:mo>
                                                    <mml:mtext>exp</mml:mtext>
                                                </mml:mrow>
                                            </mml:msub>
                                            <mml:mo>&#x2009;</mml:mo>
                                            <mml:mtext>-</mml:mtext>
                                            <mml:mo>&#x2009;</mml:mo>
                                            <mml:msub>
                                                <mml:mtext>A</mml:mtext>
                                                <mml:mrow>
                                                    <mml:mtext>480</mml:mtext>
                                                    <mml:mo>&#x2009;</mml:mo>
                                                    <mml:mtext>control</mml:mtext>
                                                </mml:mrow>
                                            </mml:msub>
                                        </mml:mrow>
                                        <mml:mo>)</mml:mo>
                                    </mml:mrow>
                                </mml:mrow>
                            </mml:semantics>
                        </mml:math>
                    </disp-formula>
                </p>
                <p>The obtained results were expressed as the difference in optical absorbance between experimental and control samples (&#x3BB; = 480 nm), adjusted to 1 g of pancreatic tissue (&#x394;A480 LOOH.g<sup>-1</sup>) by dilution factor DF.</p>
                <p>All reagents used for the experiments, if not specified, were of laboratory grade or better.</p>
            </sec>
            <sec>
                <title>Total protein determination</title>
                <p>Protein concentration in the tissue sample was determined by the Lowry method using standardized kits (SIMCO Ltd, Ukraine) according to the manufacturer&#x2019;s instructions. The method is based on the formation of non-ferrous products of the interaction of aromatic amino acids with the Folin-Ciocalteu reagent in combination with the biuret reaction to peptide bonds of the protein (<xref ref-type="bibr" rid="b23">Lowry et al., 1951</xref>). The results were expressed in mg of protein per mL of the tissue sample using spectrophotometer UNICO S1205 for absorbance measurements. The protein concentration of tissue samples from the pancreas of each rat was used to estimate enzyme activity per mg of protein in the subsequent analysis of SOD, CAT, G-Per, G-Red, G6PD, and LDH enzymatic activities in tissue samples.</p>
            </sec>
            <sec>
                <title>Superoxide dismutase (SOD) determination</title>
                <p>The principle of the method for superoxide dismutase (EC 1.15.1.1) activity determination is based on the ability of the enzyme to compete with nitroblue tetrazolium for the superoxide anion radicals, which are formed as a result of aerobic interaction of NADH and phenazine methosulfate (<xref ref-type="bibr" rid="b31">Ponti et al., 1978</xref>). As a result of this reaction, nitroblue tetrazolium is reduced to formazan dye. In the presence of SOD, the percentage of nitroblue tetrazolium reduction is reduced. Enzyme activity was determined by the percentage of blockage of formazan dye formation (<xref ref-type="bibr" rid="b9">Durak et al., 1993</xref>). Briefly, 1.5 mL of incubation mixture (containing 37 mg EDTA-Na<sub>2</sub>, 330 mg nitrotetrazolium blue, 55 mg phenazine methosulfate, and 0.3 mL 0.15 M phosphate buffer, pH 7.8) was mixed with 0.1 mL of a tissue sample and 0.1 mL of 1 mM NADH in Tris-EDTA buffer (pH 8.0) followed by 10 minutes incubation at room temperature. Optical absorbance was measured against water (UNICO S1205, &#x3BB; = 540 nm). The control sample was prepared using distilled instead of a tissue sample. The enzyme activity was determined with the following equation:</p>
                <p>
                    <disp-formula id="M3">
                        <label>(3)</label>
                        <mml:math display='block' xmlns:mml='http://www.w3.org/1998/Math/MathML' id="Eq3">
                            <mml:semantics>
                                <mml:mrow>
                                    <mml:msub>
                                        <mml:mrow>
                                            <mml:mtext>%&#x00A0;blockage&#x00A0;=&#x00A0;100&#x00A0;x&#x00A0;(A</mml:mtext>
                                        </mml:mrow>
                                        <mml:mtext>c</mml:mtext>
                                    </mml:msub>
                                    <mml:mtext>&#x00A0;-</mml:mtext>
                                    <mml:mo>&#x2009;</mml:mo>
                                    <mml:msub>
                                        <mml:mtext>A</mml:mtext>
                                        <mml:mtext>t</mml:mtext>
                                    </mml:msub>
                                    <mml:msub>
                                        <mml:mrow>
                                            <mml:mtext>)/A</mml:mtext>
                                        </mml:mrow>
                                        <mml:mtext>c</mml:mtext>
                                    </mml:msub>
                                </mml:mrow>
                            </mml:semantics>
                        </mml:math>
                    </disp-formula>
                </p>
                <p>where A<sub>c</sub> – optical absorbance of the control sample; A<sub>t</sub> – optical absorbance of the test sample. Superoxide dismutase activity was expressed in relative units per 1 mg of protein (1 relative unit = 50% blocking).</p>
            </sec>
            <sec>
                <title>Catalase (CAT) determination</title>
                <p>The principle of the method for catalase (EC 1.11.1.6) activity determination is based on the ability of H<sub>2</sub>O<sub>2</sub> to form a stable colored complex with molybdenum salts. According to <xref ref-type="bibr" rid="b13">G&#xF3;th (1991)</xref>, the color intensity of molybdenum peroxide compounds depends on the amount of H<sub>2</sub>O<sub>2</sub> in solution; and therefore, on the activity of catalase in the sample. The catalase reaction was started by mixing 0.1 mL of a tissue sample with 1 mL of 0.05 M Tris-HCl buffer (pH 7.8) and 2 mL of 0.03% H<sub>2</sub>O<sub>2</sub>. Blank included 1 mL of 4% (NH<sub>4</sub>)<sub>2</sub>MoO<sub>4</sub> in 0.025 N H<sub>2</sub>SO<sub>4</sub> and 2.0 mL H<sub>2</sub>O<sub>2</sub>. The reaction in the test sample was stopped after 10 minutes by adding 1 mL of 0.25 N H<sub>2</sub>SO<sub>4</sub> and 1 mL of 4% (NH<sub>4</sub>)<sub>2</sub>MoO<sub>4</sub>. To complete the blank, 1 mL of 0.25 N H<sub>2</sub>SO<sub>4</sub> and 0.1 mL of tissue sample was added to the blank.</p>
                <p>Samples were centrifuged for 5 minutes at 3,000 g. Optical absorbance was determined spectrophotometrically (UNICO S1205, &#x3BB; = 410 nm). The catalase activity in &#x3BC;mol.min<sup>-1</sup>.mg<sup>-1</sup> was calculated using the following equation:</p>
                <p>
                    <disp-formula id="M4">
                        <label>(4)</label>
                        <mml:math display='block' xmlns:mml='http://www.w3.org/1998/Math/MathML' id="Eq4">
                            <mml:semantics>
                                <mml:mrow>
                                    <mml:msub>
                                        <mml:mtext>E</mml:mtext>
                                        <mml:mtext>a</mml:mtext>
                                    </mml:msub>
                                    <mml:mo>&#x2009;</mml:mo>
                                    <mml:mtext>=</mml:mtext>
                                    <mml:mo>&#x2009;</mml:mo>
                                    <mml:mrow>
                                        <mml:mo>(</mml:mo>
                                        <mml:mrow>
                                            <mml:mtext>&#x0394;A</mml:mtext>
                                            <mml:mo>&#x2009;</mml:mo>
                                            <mml:mtext>x</mml:mtext>
                                            <mml:mo>&#x2009;</mml:mo>
                                            <mml:mtext>DF</mml:mtext>
                                        </mml:mrow>
                                        <mml:mo>)</mml:mo>
                                    </mml:mrow>
                                    <mml:mtext>/</mml:mtext>
                                    <mml:mrow>
                                        <mml:mo>(</mml:mo>
                                        <mml:mrow>
                                            <mml:mtext>&#x03B5;</mml:mtext>
                                            <mml:mo>&#x2009;</mml:mo>
                                            <mml:mtext>x</mml:mtext>
                                            <mml:mo>&#x2009;</mml:mo>
                                            <mml:mtext>t</mml:mtext>
                                            <mml:mo>&#x2009;</mml:mo>
                                            <mml:mtext>x</mml:mtext>
                                            <mml:mo>&#x2009;</mml:mo>
                                            <mml:mtext>C</mml:mtext>
                                            <mml:mo>&#x2009;</mml:mo>
                                            <mml:mtext>x</mml:mtext>
                                            <mml:mo>&#x2009;</mml:mo>
                                            <mml:mtext>1</mml:mtext>
                                        </mml:mrow>
                                        <mml:mo>)</mml:mo>
                                    </mml:mrow>
                                </mml:mrow>
                            </mml:semantics>
                        </mml:math>
                    </disp-formula>
                </p>
                <p>Where: &#x394;A – difference between the optical absorbance of blank and test samples; DF – dilution factor of the original tissue sample; &#x510; – molar extinction coefficient of the H<sub>2</sub>O<sub>2</sub> complex with ammonium molybdate at &#x3BB; = 410 nm, equal to 22200 M<sup>-1</sup>.cm<sup>-1</sup>; C – tissue sample protein concentration, mg.mL<sup>-1</sup>; t – reaction time, 10 minutes, l – optical path, 1 cm.</p>
                <p>All reagents used for the experiments, if not specified, were of laboratory grade or better.</p>
            </sec>
            <sec>
                <title>Glutathione peroxidase (G-Per) determination</title>
                <p>The activity of glutathione peroxidase (EC 1.11.1.9) was measured through the oxidation rate of reduced glutathione in the presence of tertiary butyl hydroperoxide (<xref ref-type="bibr" rid="b26">Moin, 1996</xref>). Change in absorbance is due to the interaction between SH-groups and Ellman&#x27;s reagent (0.01 M solution of 5,5&#x27;-dithiobis-2-nitrobenzoic acid (DTNB) in methanol) with the formation of a colored product, 5&#x27;-thio-2-nitrobenzoic acid. The amount of the latter is directly proportional to the number of -SH groups that reacted with Ellman&#x2019;s reagent. Briefly, 0.83 mL of 4.8 mM reduced glutathione in 0.1 M Tris-HCl buffer (pH 8.5), containing 6 mM EDTA and 12 mM NaN<sub>3</sub>, was added to 0.2 mL of the tissue sample. The mixture was incubated at 37 &#xB0;C for 10 minutes. Following incubation, 0.07 mL of 20 mM tertiary butyl hydroperoxide was added and the mixture was incubated for an additional 5 minutes. The reaction was stopped by adding 0.2 mL of 20% trichloroacetic acid at 4 &#xB0;C. A blank sample was prepared identically, but with distilled water instead of the tissue sample. The samples were centrifuged for 10 minutes at 3000 g. The supernatant (0.02 mL) was mixed with 2 mL of 0.1 M Tris-HCl buffer (pH 8.5) and 0.02 mL of Elman&#x27;s reagent. After 5 minutes incubation, the samples were analyzed spectrophotometrically (UNICO S1205, &#x3BB; = 412 nm). The G-Per result was expressed in &#x3BC;mol.min<sup>-1</sup>.mg<sup>-1</sup> protein and calculated using the following equation:</p>
                <p>
                    <disp-formula id="M5">
                        <label>(5)</label>
                        <mml:math display='block' xmlns:mml='http://www.w3.org/1998/Math/MathML' id="Eq5">
                            <mml:semantics>
                                <mml:mrow>
                                    <mml:msub>
                                        <mml:mtext>E</mml:mtext>
                                        <mml:mtext>a</mml:mtext>
                                    </mml:msub>
                                    <mml:mo>&#x2009;</mml:mo>
                                    <mml:mtext>=</mml:mtext>
                                    <mml:mo>&#x2009;</mml:mo>
                                    <mml:mrow>
                                        <mml:mo>(</mml:mo>
                                        <mml:mrow>
                                            <mml:mtext>&#x0394;A</mml:mtext>
                                            <mml:mo>&#x2009;</mml:mo>
                                            <mml:mtext>x</mml:mtext>
                                            <mml:mo>&#x2009;</mml:mo>
                                            <mml:mtext>DF</mml:mtext>
                                            <mml:mo>&#x2009;</mml:mo>
                                            <mml:mtext>x</mml:mtext>
                                            <mml:mo>&#x2009;</mml:mo>
                                            <mml:msub>
                                                <mml:mtext>C</mml:mtext>
                                                <mml:mtext>s</mml:mtext>
                                            </mml:msub>
                                        </mml:mrow>
                                        <mml:mo>)</mml:mo>
                                    </mml:mrow>
                                    <mml:mtext>/</mml:mtext>
                                    <mml:mrow>
                                        <mml:mo>(</mml:mo>
                                        <mml:mrow>
                                            <mml:msub>
                                                <mml:mtext>A</mml:mtext>
                                                <mml:mtext>s</mml:mtext>
                                            </mml:msub>
                                            <mml:mo>&#x2009;</mml:mo>
                                            <mml:mtext>x</mml:mtext>
                                            <mml:mo>&#x2009;</mml:mo>
                                            <mml:mtext>t</mml:mtext>
                                            <mml:mo>&#x2009;</mml:mo>
                                            <mml:mtext>x</mml:mtext>
                                            <mml:mo>&#x2009;</mml:mo>
                                            <mml:mtext>C</mml:mtext>
                                        </mml:mrow>
                                        <mml:mo>)</mml:mo>
                                    </mml:mrow>
                                </mml:mrow>
                            </mml:semantics>
                        </mml:math>
                    </disp-formula>
                </p>
                <p>Where: &#x394;A – the difference between optical absorbance of the control and experimental samples; DF – dilution factor of the original tissue sample; A<sub>s</sub> – absorbance of the standard G-SH solution; C<sub>s</sub> – concentration of the standard G-SH solution; C – protein concentration in the tissue sample, mg.mL<sup>-1</sup>; t – reaction time, 5 minutes.</p>
            </sec>
            <sec>
                <title>Glutathione reductase (G-Red) determination</title>
                <p>The activity of glutathione reductase (EC 1.8.1.7) was determined spectrophotometrically as the rate of glutathione reduction in the presence of NADPH as suggested by <xref ref-type="bibr" rid="b6">Carlberg and Mannervik (1985)</xref>. The reaction mixture contained 2 mL of 0.15 M phosphate buffer, pH 7.4; 0.2 mL of 10 mM EDTA; 0.5 mL of 7.5 mM oxidized glutathione, 0.1 mL of 2 mM NADPH; and 0.2 mL of the test sample. The enzyme activity was determined by measuring the reduction in NADPH content within 10 minutes at 37 &#xB0;C (UNICO S1205, &#x3BB; =340 nm). The activity of G-Red was expressed in &#x3BC;mol(NADPH).min<sup>-1</sup>.mg<sup>-1</sup> protein and calculated using equation <xref ref-type="disp-formula" rid="M4">4</xref>, where &#x394;A – absorbance difference between the start and end time of the reaction; DF – dilution factor of the tissue sample; &#x510; – molar extinction coefficient for NADPH, &#x510; = 6220 M<sup>-1</sup>.cm<sup>-1</sup>; t – reaction time, 10 minutes.</p>
            </sec>
            <sec>
                <title>Reduced glutathione (G-SH) determination</title>
                <p>The content of reduced glutathione (G-SH) was determined by the level of 5&#x27;-thio-2-nitrobenzoic acid formation as a result of the interaction of the glutathione – SH groups with 5,5&#x27;-dithiobis-2-nitrobenzoic acid (DTNB) at &#x3BB; = 412 nm as per method developed by <xref ref-type="bibr" rid="b4">Beutler, Duron and Kelly (1963)</xref>. The following reagents were used: a precipitating reagent (glacial metaphosphoric acid – 6.68 g; EDTA – 0.80 g; sodium chloride – 120.0 g; distilled water to 400 mL); 0.3 M Na<sub>2</sub>HPO<sub>4</sub> solution in distilled water; Elman&#x27;s reagent (0.04% solution of 5.5-dithiobis-2-nitrobenzoic acid in 1% solution of trisodium citrate) (<xref ref-type="bibr" rid="b32">Rahman, Kode and Biswas, 2006</xref>).</p>
                <p>Stage I. Sample: tissue sample – 2 mL, precipitating reagent – 3 mL; control: distilled water – 2 mL, precipitating reagent – 3 mL. The mixtures were kept at room temperature for 5 minutes followed by centrifugation at 3,500g, through which protein-free supernatant was obtained.</p>
                <p>Stage II. Sample: supernatant from stage I – 2 mL, 0.3 M Na<sub>2</sub>HPO<sub>4</sub> – 8 mL, Elman&#x27;s reagent – 0.1 mL; Control: control supernatant from stage I – 2 mL; 0.3 M Na<sub>2</sub>HPO<sub>4</sub> – 8 mL, Elman reagent– 0.1 mL. After 5 minutes of incubation, the absorbance measurement of the sample against control was performed (UNICO S1205, &#x3BB; = 412 nm). The calculation of the amount of G-SH in the pancreas in mmoles per gram of tissue was estimated against G-SH standard solution with known concentration C<sub>s</sub> using equation <xref ref-type="disp-formula" rid="M6">6</xref>:</p>
                <p>
                    <disp-formula id="M6">
                        <label>(6)</label>
                        <mml:math display='block' xmlns:mml='http://www.w3.org/1998/Math/MathML' id="Eq6">
                            <mml:semantics>
                                <mml:mrow>
                                    <mml:msub>
                                        <mml:mtext>N</mml:mtext>
                                        <mml:mrow>
                                            <mml:mtext>GSH</mml:mtext>
                                        </mml:mrow>
                                    </mml:msub>
                                    <mml:msub>
                                        <mml:mrow>
                                            <mml:mtext>&#x00A0;=&#x00A0;(&#x0394;A</mml:mtext>
                                        </mml:mrow>
                                        <mml:mrow>
                                            <mml:mtext>412&#x00A0;</mml:mtext>
                                        </mml:mrow>
                                    </mml:msub>
                                    <mml:msub>
                                        <mml:mrow>
                                            <mml:mtext>x&#x00A0;DF&#x00A0;x&#x00A0;C</mml:mtext>
                                        </mml:mrow>
                                        <mml:mtext>s</mml:mtext>
                                    </mml:msub>
                                    <mml:msub>
                                        <mml:mrow>
                                            <mml:mtext>)/A</mml:mtext>
                                        </mml:mrow>
                                        <mml:mrow>
                                            <mml:mtext>412s</mml:mtext>
                                        </mml:mrow>
                                    </mml:msub>
                                </mml:mrow>
                            </mml:semantics>
                        </mml:math>
                    </disp-formula>
                </p>
                <p>All reagents used for the experiments, if not specified, were of laboratory grade or better.</p>
            </sec>
            <sec>
                <title>Lactate dehydrogenase (LDH) and glucose-6P-dehydrogenase (G6PD) determination</title>
                <p>LDH and G6PD enzymatic activity were determined using spectrophotometric methods based on the coupled oxidation/reduction systems of nicotinamide coenzymes (UNICO S1205, 37 &#xB0;C, NADH and NADPH molar extinction coefficient &#x3B5; = 6220 at &#x3BB; = 340 nm, t = 5 minutes of enzymatic reaction). The reaction was carried in 0.2 &#x41C; tris-&#x41D;&#x421;l buffer (&#x440;&#x41D; 7.5) with a total volume of 3 mL, including 0.2 mL of the tissue sample. The final concentrations of the reaction components were as follows:</p>
                <p>LDH – 1&#xD7;10<sup>-3</sup> &#x41C; sodium pyruvate, 5&#xD7;10<sup>-5</sup> NADH, 3&#xD7;10<sup>-3</sup> &#x41C; MgCl<sub>2</sub> (<xref ref-type="bibr" rid="b35">Sevela and Tovarek, 1959</xref>).</p>
                <p>G6PD – 1&#xD7;10<sup>-3</sup> &#x41C; glucose-6-phosphate, 5&#xD7;10<sup>-3</sup> &#x41C; MgCl<sub>2</sub>; 0.5&#xD7;10<sup>-4</sup> &#x41C; NADP+ (<xref ref-type="bibr" rid="b10">Evans, 2009</xref>).</p>
                <p>The enzymatic activity was expressed in nmole.min<sup>-1</sup>.mg<sup>1</sup> protein and calculated using equation <xref ref-type="disp-formula" rid="M4">4</xref>.</p>
                <p>All reagents used for the experiments, if not specified, were of laboratory grade or better.</p>
            </sec>
            <sec>
                <title>Statistical analysis</title>
                <p>Two-factorial ANOVA was used to analyze the influence of treatment (D, Mg100-D, Mg250-D, Mg500-D) and time of experiment onset (day 21, day 25, day 27, and day 30), as well as their interaction (treatment x time), on the fasting glucose levels in rats. If the influence of factors or their interaction was significant (<italic>p</italic> &#x003C;0.05), means were separated using the Fisher LSD procedure.</p>
                <p>Pearson correlation coefficients were calculated between paired serum glucose levels of the control (C) and diabetes-induced rats (D) on day 30 and LOOH, SOD, CAT, G-Per, G-Red, G-SH, G6PD, and LDH levels in pancreas after animal sacrifice.</p>
                <p>One-way ANOVA was used to analyze the influence of treatment (C, D, Mg100-D, Mg250-D, Mg500-D) on carbs metabolism enzyme activity, namely, G6PD and LDH; on lipid oxidative damage index, namely, LOOH level; on antioxidant enzymes activity, namely, SOD and CAT; and on glutathione system, namely, G-Per and G-Red activities and G-SH levels, in pancreatic tissue. If the influence of the factor was significant (<italic>p</italic> &#x003C;0.05), means were separated using the Fisher LSD procedure.</p>
            </sec>
        </sec>
        <sec sec-type="results|discussion">
            <title>RESULTS AND DISCUSSION</title>
            <p>As expected, oral magnesium supplementation did not prevent alloxan induction of diabetes, though somewhat significantly slowed its progression (Figure <xref ref-type="fig" rid="F1">1</xref>, <italic>p</italic> &#x003C;0.05). There was a significant influence of both factors, treatment (D, Mg100-D, Mg250-D, Mg500-D) and time of experiment onset (day 21, day 25, day 27, and day 30), on fasting serum glucose concentration (<italic>p</italic> &#x003C;0.05, Figure <xref ref-type="fig" rid="F1">1</xref>), though their interaction (treatment x time) did not affect (<italic>p</italic> &#x003E;0.05). Glucose levels increased gradually with the time of the experiment onset (Figure <xref ref-type="fig" rid="F3">3</xref>), while 250 mg.kg<sup>-1</sup> magnesium-dose had the most profound effect on the fasting glucose reduction (Figure <xref ref-type="fig" rid="F2">2</xref>). Similarly, <xref ref-type="bibr" rid="b1">Abayomi et al. (2011)</xref> showed that a single intraperitoneal injection of magnesium (100 and 150 mg.kg<sup>-1</sup> live weight) one hour before alloxan-induced diabetes (120 mg.kg<sup>-1</sup> live weight) in rats improved fasting glucose levels on days 2, 5, 7, and 10 compared to diabetes alone, but still was significantly higher comparing to control. Additionally, <xref ref-type="bibr" rid="b19">Ige et al. (2010)</xref> showed a similar effect of a single intraperitoneal injection of magnesium (100 mg.kg<sup>-1</sup>) one hour before diabetes induction in rats even at a higher level of alloxan dose (150 mg.kg<sup>-1</sup> live weight).</p>
            <fig id="F1" position="float">
                <label>Figure 1</label>
                <caption>
                    <p>Mean values of fasting blood serum glucose levels in control (C), diabetic (D), magnesium supplemented diabetic rats (Mg100-D, Mg250-D, Mg500-D) as measured on days 21, 25, 27, and sacrifice day (day 30). Control (C) is shown for reference. Error bars reflect standard deviations. Note: Means with the same letters are not significantly different (<italic>p</italic> &#x003E;0.05).</p>
                </caption>
                <graphic xlink:href="PSJFS-14-1-836_F1.jpg"/>
            </fig>
            <fig id="F2" position="float">
                <label>Figure 2</label>
                <caption>
                    <p>Influence of treatment (D, Mg100-D, Mg250-D, Mg500-D) on the mean value of fasting blood serum glucose levels on different days (day 21, 25, 27, 30). Error bars reflect standard error of mean. Adapted from Statistica ver 10.0.</p>
                </caption>
                <graphic xlink:href="PSJFS-14-1-836_F2.jpg"/>
            </fig>
            <fig id="F3" position="float">
                <label>Figure 3</label>
                <caption>
                    <p>Influence of time factor (day 21, 25, 27, 30) on the mean value of fasting blood serum glucose levels in diabetic (D), magnesium supplemented diabetic rats (Mg100-D, Mg250-D, Mg500-D). Error bars reflect standard error of mean. Adapted from Statistica ver 10.0.</p>
                </caption>
                <graphic xlink:href="PSJFS-14-1-836_F3.jpg"/>
            </fig>
            <p>The Pearson correlation coefficients between serum glucose levels (C and D groups) and investigated indices are shown in Table <xref ref-type="table" rid="T1">1</xref>. The increased glucose levels, as a result of alloxan-induced diabetes, had strong negative correlations with LDH and G6PD enzymes, possibly indicating cellular damage and reduced metabolic activity of pancreatic cells; strong negative correlations with CAT, SOD, G-Per, possible indicating damage of antioxidative enzyme system as a result of confronting ROS produced by alloxan; medium negative correlations with G-SH, indicating G-SH consumption and possible impairment during alloxan redox cycling with dialuronic acid. A weak negative correlation was observed with G-Red, and moderate positive correlation with LOOH, indicating residual oxidative damage to the lipids of the cell membranes. These weak positive correlations could be because alloxan-induced diabetes was already established and necrotic &#x3B2; cells already removed by macrophages before the day of animal sacrifice (day 30).</p>
            <table-wrap id="T1" position="float">
                <label>Table 1</label>
                <caption>
                    <p>Pearson correlation coefficients (<italic>p</italic> &#x003C;0.05) between fasting serum glucose levels in control (C) and diabetic (D) groups vs. investigated indices (LOOH, SOD, CAT, G-Per, G-Red, G-SH, LDH, G6PD).</p>
                </caption>
                <table frame="hsides" rules="none" width="100%">
                    <thead>
                        <tr>
                            <th/>
                            <th>LOOH</th>
                            <th>SOD</th>
                            <th>CAT</th>
                            <th>G-per</th>
                            <th>G-red</th>
                            <th>G-SH</th>
                            <th>LDH</th>
                            <th>G6PD</th>
                        </tr>
                        <tr>
                            <th colspan="9">
                                <hr/>
                            </th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr align="center">
                            <td align="left">Pearson correlation coefficient, r</td>
                            <td>+0.67</td>
                            <td>-0.92</td>
                            <td>-0.98</td>
                            <td>-0.91</td>
                            <td>-0.57</td>
                            <td>-0.79</td>
                            <td>-0.93</td>
                            <td>-0.95</td>
                        </tr>
                    </tbody>
                </table>
            </table-wrap>
            <p>Polyunsaturated fatty acids (PUFAs), which in their esterified state are present in membrane or storage lipids, are prone to ROS-induced peroxidation, resulting in the damage to the biomembranes. Final products of lipid peroxidation (LOOH) are reactive aldehydes, which are relatively stable, can diffuse far from the location of oxidative injury, and may act as second messengers or free radicals (<xref ref-type="bibr" rid="b11">Gasparovic et al., 2013</xref>). Levels of LOOH were significantly different between treatments as shown in Table <xref ref-type="table" rid="T2">2</xref> (<italic>p</italic> &#x003C;0.05). LOOH increased non-significantly in the diabetes group, and was significantly decreased compared to diabetes in Mg250-D group (<italic>p</italic> &#x003C;0.05). Paradoxically, the highest LOOH levels were observed at high Mg<sup>2+</sup> supplementation (500 mg.kg<sup>-1</sup>), possibly showing that at such levels influence of Mg<sup>2+</sup> may be negative, which is also confirmed by increased fasting serum glucose in this group (Figure <xref ref-type="fig" rid="F2">2</xref>). Though the major effect of targeted alloxan cytotoxic action on &#x3B2; cells is massive production of ROS, such as superoxide radical, hydrogen peroxide, and hydroxyl radical (<xref ref-type="bibr" rid="b28">Munday, 1988;</xref> <xref ref-type="bibr" rid="b43">Winterbourn and Munday, 1989</xref>), the result is apoptosis of &#x3B2; cells followed by cell debris removal. The determination of LOOH was done long after alloxan major damage and after its degradation in rat body (day 10 after the onset of diabetes), and presumably all damaged cells were either removed or repaired back to normal. Therefore, LOOH values could be non-informative.</p>
            <table-wrap id="T2" position="float">
                <label>Table 2</label>
                <caption>
                    <p>Influence of treatment (control, diabetes, diabetes with 100, 250, and 500 mg Mg supplementation) on LOOH levels in pancreatic tissue of rats upon sacrifice on day 30, with standard deviation included. </p>
                </caption>
                <table frame="hsides" rules="none" width="100%">
                    <thead>
                        <tr>
                            <th/>
                            <th>C &#x00B1;SD</th>
                            <th>D &#x00B1;SD</th>
                            <th>Mg100-D &#x00B1;SD</th>
                            <th>Mg250-D &#x00B1;SD</th>
                            <th>Mg500-D &#x00B1;SD</th>
                        </tr>
                        <tr>
                            <th colspan="6">
                                <hr/>
                            </th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr align="center">
                            <td align="left">LOOH, &#x394;A<sub>480</sub>.g<sup>-1</sup></td>
                            <td>0.133 &#x00B1;0.014 bd&#x002A;</td>
                            <td>0.165 &#x00B1;0.021 b</td>
                            <td>0.143 &#x00B1;0.014 bc</td>
                            <td>0.133 &#x00B1;0.013 cd</td>
                            <td>0.210 &#x00B1;0.011  a</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <fn id="T2FN1">
                        <p>Note: *Means with the same letters are not significantly different (<italic>p</italic> &#x003E;0.05).</p>
                    </fn>
                </table-wrap-foot>
            </table-wrap>
            <p>Another possibility is the lack of the precision in determination of these values due to the low number of observations, causing an absence of significant differences between treatments.</p>
            <p>Evaluation of enzyme activity, due to their protein nature, and sensitivity to various processing conditions, as well as pathological processes, is widely used in industry, life science, and medical research (<xref ref-type="bibr" rid="b40">Tokarskyy et al., 2009;</xref> <xref ref-type="bibr" rid="b46">Yaremchuk and Posokhova, 2011;</xref> <xref ref-type="bibr" rid="b24">Lykhatskyi et al., 2019</xref>).</p>
            <p>Results of CAT and SOD determination are shown in Figure <xref ref-type="fig" rid="F4">4</xref> and Figure <xref ref-type="fig" rid="F5">5</xref>, respectively. Treatment had a significant influence on both enzymes (<italic>p</italic> &#x003C;0.05). Alloxan-induced diabetes caused a significant decrease in activities of both enzymes, while magnesium supplementation restored those values, causing even over-production of catalase. Both enzymes are important in detoxifying ROS produced by alloxan, with SOD reducing superoxide radicals to hydrogen peroxide and molecular oxygen, and catalase breaking down hydrogen peroxide into water and oxygen (<xref ref-type="bibr" rid="b22">Lenzen, 2008</xref>). These reactions force Fenton reaction, and therefore, production of hydroxyl radical, the major damaging ROS related to &#x3B2; cell death, to halt (<xref ref-type="bibr" rid="b22">Lenzen, 2008;</xref> <xref ref-type="bibr" rid="b28">Munday, 1988;</xref> <xref ref-type="bibr" rid="b43">Winterbourn and Munday, 1989</xref>). It was shown that excess of catalase production in liver hepatocytes, also possessing GLUT2 transporter and suitable for alloxan selective absorption, halted toxic effects of alloxan related to ROS production to the minimum (<xref ref-type="bibr" rid="b14">Grankvist et al., 1979;</xref> <xref ref-type="bibr" rid="b39">Tiedge et al., 1997</xref>).</p>
            <fig id="F4" position="float">
                <label>Figure 4</label>
                <caption>
                    <p>Mean values of pancreatic catalase (СAT) activity in control (C), diabetic (D), magnesium supplemented diabetic rats (Mg100-D, Mg250-D, Mg500-D) as measured on day 30 (sacrifice day). Error bars reflect standard deviations. Means with the same letters are not significantly different (<italic>p</italic> &#x003E;0.05).</p>
                </caption>
                <graphic xlink:href="PSJFS-14-1-836_F4.jpg"/>
            </fig>
            <fig id="F5" position="float">
                <label>Figure 5</label>
                <caption>
                    <p>Mean values of pancreatic superoxide dismutase (SOD) activity in control (C), diabetic (D), magnesium supplemented diabetic rats (Mg100-D, Mg250-D, Mg500-D) as measured on day 30 (sacrifice day). Error bars reflect standard deviations. Means with the same letters are not significantly different (<italic>p</italic> &#x003E;0.05).</p>
                </caption>
                <graphic xlink:href="PSJFS-14-1-836_F5.jpg"/>
            </fig>
            <p>Data for G-SH and G-Per are shown in Table <xref ref-type="table" rid="T3">3</xref>, with treatment having a significant influence on their values (<italic>p</italic> &#x003C;0.05). The results for G-Red were non-significant (<italic>p</italic> &#x003E;0.05, Table <xref ref-type="table" rid="T3">3</xref>). Reduced glutathione is an important thiol-containing molecule, the presence of which causes alloxan- dialuronic acid cycling, resulting in the eventual production of ROS (<xref ref-type="bibr" rid="b22">Lenzen, 2008</xref>). Alloxan-induced diabetes reduces levels of G-SH, and therefore, decreases reduced glutathione/oxidized glutathione ratio (G-SH/GSSG). However, increased levels of G-SH in &#x3B2; cells have a protective effect for glucokinase (&#x201C;glucose sensor&#x201D;) inhibition by alloxan, as alloxan is kept in its oxidized form, dialuronic acid, incapable of reacting with thiol groups of glucokinase and deactivating it (<xref ref-type="bibr" rid="b20">Ighodaro, Adeosun and Akinloye, 2017</xref>). Secondly, increased levels of G-SH cause activation of glutathione peroxidase, one of the enzymes capable of hydrogen peroxide deactivation. Progressed and established alloxan-induced diabetes reduced residual levels of G-SH in pancreatic tissue, though magnesium supplementation partially restored ) G-SH levels to the value found in control animals (Table <xref ref-type="table" rid="T3">3</xref>). A similar effect was observed with G-Per (Table <xref ref-type="table" rid="T3">3</xref>), which also decomposes hydrogen peroxide. Glutathione reductase, which restores reduced glutathione levels through the reduction of its oxidized form, GSSG, using NADPH as reducing power, remained unchanged between treatments (Table <xref ref-type="table" rid="T3">3</xref>).</p>
            <table-wrap id="T3" position="float">
                <label>Table 3</label>
                <caption>
                    <p>Influences of treatment (control, diabetes, diabetes with 100, 250, and 500 mg Mg supplementation) on G-Per (<italic>p</italic> &#x003C;0.05), G-Red (<italic>p</italic> =0.7), and G-SH (<italic>p</italic> &#x003C;0.05) levels in pancreatic tissue of rats upon sacrifice on day 30, with standard deviation included.</p>
                </caption>
                <table frame="hsides" rules="none" width="100%">
                    <thead>
                        <tr>
                            <th>
                            </th>
                            <th>C &#x00B1;SD</th>
                            <th>D &#x00B1;SD</th>
                            <th>Mg100-D &#x00B1;SD</th>
                            <th>Mg250-D &#x00B1;SD</th>
                            <th>Mg500-D &#x00B1;SD</th>
                        </tr>
                        <tr>
                            <th colspan="6">
                                <hr/>
                            </th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr align="center">
                            <td align="left">G-Per, &#x3BC;mol(G-SH).min<sup>-1</sup>.mg<sup>-1</sup></td>
                            <td>3.30  &#x00B1;0.43 ab&#x002A;</td>
                            <td>1.80 &#x00B1;0.14 c</td>
                            <td>2.84 &#x00B1;0.31 b</td>
                            <td>3.97 &#x00B1;0.42 a</td>
                            <td>2.44 &#x00B1;0.28   bc</td>
                        </tr>
                        <tr align="center">
                            <td align="left">G-Red, &#x3BC;mol(NADPH).min<sup>-1</sup>.mg<sup>-1</sup></td>
                            <td>0.028 &#x00B1;0.001 a&#x002A;</td>
                            <td>0.024 &#x00B1;0.002 a</td>
                            <td>0.025 &#x00B1;0.002 a</td>
                            <td>0.026 &#x00B1;0.005 a</td>
                            <td>0.024 &#x00B1;0.004 a</td>
                        </tr>
                        <tr align="center">
                            <td align="left">G-SH, mmol.g<sup>-1</sup></td>
                            <td>0.031 &#x00B1;0.008 a&#x002A;</td>
                            <td>0.015 &#x00B1;0.005 b</td>
                            <td>0.024 &#x00B1;0.004 a</td>
                            <td>0.028 &#x00B1;0.004 a</td>
                            <td>0.023 &#x00B1;0.004 ab</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <fn id="T3FN1">
                        <p>Note: * Same letters within the same lane mean non-significant difference (<italic>p</italic> &#x003E;0.05).</p>
                    </fn>
                </table-wrap-foot>
            </table-wrap>
            <p>Results for LDH and G6PD activity in pancreatic tissue after late established alloxan-induced diabetes are shown in Figure <xref ref-type="fig" rid="F6">6</xref> and Figure <xref ref-type="fig" rid="F7">7</xref>. Treatment had a significant influence on both enzymes (<italic>p</italic> &#x003C;0.05), with a significant decrease in their activities during late established diabetes (group D), and partial restoration in the case of magnesium supplementation after the onset of the disease in late progression. G6PD is a rate-limiting, first enzyme involved in the pentose phosphate pathway, which was shown to be inhibited during diabetes in the kidney cortex (<xref ref-type="bibr" rid="b45">Xu, Osborne and Stanton, 2005</xref>). Pentose phosphate pathway generates extra reducing power in the form of NADPH, which can serve a substrate for glutathione reductase, which transforms oxidized GSSG into reduced G-SH, improving antioxidative &#x201C;health&#x201D; of the cells (<xref ref-type="bibr" rid="b45">Xu, Osborne and Stanton, 2005</xref>). The LDH is the final enzyme in anaerobic oxidation of glucose, transforming pyruvate into lactate, and vice versa. Enzymatic activities of both LDH and G6PD in control untreated samples may serve as overall cell health state evaluation, and reduction in their activities may indicate impaired cellular health.</p>
            <fig id="F6" position="float">
                <label>Figure 6</label>
                <caption>
                    <p>Mean values of pancreatic lactate dehydrogenase (LDH) activity in control (C), diabetic (D), magnesium supplemented diabetic rats (Mg100-D, Mg250-D, Mg500-D) as measured on day 30 (sacrifice day). Error bars reflect standard deviations. Means with the same letters are not significantly different (<italic>p</italic> &#x003E;0.05).</p>
                </caption>
                <graphic xlink:href="PSJFS-14-1-836_F6.jpg"/>
            </fig>
            <fig id="F7" position="float">
                <label>Figure 7</label>
                <caption>
                    <p>Mean values of pancreatic glucose-6-phosphate dehydrogenase (G6PD) activity in control (C), diabetic (D), magnesium supplemented diabetic rats (Mg-100D, Mg250-D, Mg500-D) as measured on day 30 (sacrifice day). Error bars reflect standard deviations. Means with the same letters are not significantly different (<italic>p</italic> &#x003E;0.05).</p>
                </caption>
                <graphic xlink:href="PSJFS-14-1-836_F7.jpg"/>
            </fig>
            <p>Several mechanisms may cause Mg<sup>2+</sup> oral supplementation positive influence on pancreatic tissue, and specifically &#x3B2; cells, during experimentally induced diabetes. Magnesium complex with ATP activates glucokinase, an enzyme that serves as a &#x201C;glucose sensor&#x201D; as an initial step in cascade reactions of insulin release (<xref ref-type="bibr" rid="b12">Gommers et al., 2016</xref>). Though it may happen even at a low sub-physiological level, some specific association between Mg-ATP and glucokinase may still exist (<xref ref-type="bibr" rid="b27">Molnes et al., 2011</xref>), possibly decreasing alloxan inhibition of glucokinase. Intracellular magnesium concentrations inhibit L-type Ca<sup>2+</sup> opening, avoiding massive Ca<sup>2+</sup> influx inside cells, and &#x201C;preserving&#x201D; immediate insulin release and initial severe hypoglycemia caused by alloxan. Massive Ca<sup>2+</sup> influx could also be one of the reasons for &#x3B2; cells death, besides ROS production (<xref ref-type="bibr" rid="b38">Szkudelski, 2001</xref>). Magnesium serves as an antagonist of calcium, and more importantly, the ratio between Ca and Mg, not concentration levels themselves, causes insulin vesicle exocytosis (<xref ref-type="bibr" rid="b3">Atwater et al., 1983</xref>). Additionally, magnesium dietary deficiency decreased antioxidant enzyme activities, namely, superoxide dismutase and catalase, in rat cardiac tissue, causing oxidative injury and explaining the pathogenesis of cardiac lesions in Mg-deficient rats (<xref ref-type="bibr" rid="b21">Kumar and Shivakumar, 1997</xref>). A similar protective mechanism may be applied to magnesium influence on antioxidant enzymes in the pancreas. Contrary, although magnesium-deficient diet in rats caused decreased reduced glutathione levels in erythrocytes, implying its role in the maintenance of G-SH concentration to protect against oxidative damage in the erythrocyte membrane, the magnesium-deficient diet caused increased reduced glutathione levels in liver and kidneys, with no influence on other soft tissues (<xref ref-type="bibr" rid="b16">Hsu, Rubenstein and Paleker, 1982</xref>). <xref ref-type="bibr" rid="b17">Chaudhary, Boparai and Bansal (2007)</xref> also showed an individual effect of low magnesium diet, as well as a combined effect of low magnesium with high sucrose diet on the development of oxidative stress in rats, namely, increase in plasma and liver lipid hydroperoxide levels, decrease in plasma reduced glutathione, decrease in liver superoxide dismutase, glutathione-S-transferase, and catalase enzyme activity.</p>
        </sec>
        <sec sec-type="conclusion">
            <title>CONCLUSION</title>
            <p>To summarize, daily oral magnesium supplementation at a dose of 250 mg.kg<sup>-1</sup> live weight in advance before alloxan-induced diabetes and within 10 days of the diabetic state improved fasting glucose levels in rats, though did not prevent the onset of diabetes. Oral supplementation with magnesium restored glucose metabolism enzymes levels, such as LDH and G6PD, in diabetic rat pancreas, compared to alloxan-induced diabetes alone, which suppressed their activity. Additionally, antioxidant system enzymes, namely, catalase, superoxide dismutase, glutathione peroxidase, and reduced glutathione levels, all improved in pancreatic tissue after magnesium administration in late-stage diabetic rats. Inconclusive results were obtained regarding lipid hydroperoxide, either due to technical issues or lack of influence of magnesium on the pancreas due to very late testing after the development of diabetes.</p>
        </sec>
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