<?xml version="1.0" encoding="utf-8" ?>
<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-15-1-101</article-id>
            <article-id pub-id-type="doi">10.5219/1445</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>ARTICLE</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>THE EFFECT OF KEFIR-SPIRULINA ON GLYCEMIC STATUS AND ANTIOXIDANT ACTIVITY IN HYPERGLYCEMIA RATS</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Laela</surname>
                        <given-names>Nur</given-names>
                    </name>
                    <xref ref-type="aff" rid="aff1" />
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <surname>Legowo</surname>
                        <given-names>Anang Mohamad</given-names>
                    </name>
                    <xref ref-type="aff" rid="aff2" />
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <surname>Fulyani</surname>
                        <given-names>Faizah</given-names>
                    </name>
                    <xref ref-type="corresp" rid="cor1">&#x002A;</xref>
                </contrib>
                <aff id="aff1">
                    <institution>Nur Laela, Diponegoro University, Faculty of Medicine, Department of Nutrition Science, Jl. Prof. Soedarto S.H. 50275, Semarang, Indonesia, Tel.: +62 081324381073, E-mail: nurela460@gmail.com</institution>
                </aff>
                <aff id="aff2">
                    <institution>Prof. Dr. Ir. Anang Mohamad Legowo, M.Sc., Ph.D. Diponegoro University, Faculty of Animal and Agricultural Sciences, Food Technology Department, Jl. Prof. Soedarto S.H 50275, Semarang, Indonesia, Tel.: +62 08156503627, E-mail: anang_mL@yahoo.com</institution>
                </aff>
            </contrib-group>
            <author-notes>
                <corresp id="cor1">
                    <label>&#x002A;</label>
                    <email xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="f.fulyani@fk.undip.ac.id">f.fulyani@fk.undip.ac.id</email>
                </corresp>
            </author-notes>
            <pub-date pub-type="epub">
                <day>28</day>
                <month>2</month>
                <year>2021</year>
            </pub-date>
            <pub-date pub-type="ppub">
                <month>2</month>
                <year>2021</year>
            </pub-date>
            <volume>15</volume>
            <issue>1</issue>
            <fpage>101</fpage>
            <lpage>110</lpage>
            <history>
                <date date-type="received">
                    <day>9</day>
                    <month>8</month>
                    <year>2020</year>
                </date>
                <date date-type="accepted">
                    <day>2</day>
                    <month>1</month>
                    <year>2021</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>&#x00A9; Association HACCP Consulting. All rights reserved.</copyright-statement>
                <copyright-year>2021</copyright-year>
                <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-nc/3.0/">
                    <license-p>This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (<uri xlink:href="http://creativecommons.org/licenses/by-nc/3.0/">http://creativecommons.org/licenses/by-nc/3.0</uri>) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <abstract>
                <p>Diabetes mellitus (DM) is a metabolic disorder characterized by chronic hyperglycemia. It is caused by impaired insulin secretion or by insulin receptor insensitivity. DM and its complications are often related to increases in the level of oxidative stress. Spirulina is a nutrient-dense food that contains an abundance of antioxidant compounds. In combination with kefir, it may serve as both a nutrient-rich diet and an antioxidant agent that can prevent complications of diabetes. This study aims to investigate the nutritional content of kefir-spirulina and its effect on glycemic status and antioxidant activity in streptozotocin-nicotinamide (STZ-NA) induced diabetic rats. A total of 30 male Sprague Dawley rats were divided into five groups: normal control (K1), diabetic control (K2), pioglitazone treatment (K3), kefir combined with 1% spirulina treatment (P1), and kefir combined with 2% spirulina treatment (P2). All rats were induced by STZ-NA, except for the normal control. Before and after the 28 days of intervention, blood samples were taken and analyzed for fasting plasma glucose, postprandial glucose, and SOD activity. The nutritional content, ethanol content, and total antioxidant capacity of kefir-spirulina were also analyzed. The diabetic rats that were fed with kefir-spirulina (P1 and P2) had a significant decrease in both fasting and postprandial plasma glucose (<italic>p</italic> &#x3C;0.001) compared to the diabetic control rats. The decrease of plasma glucose in K2 is comparable to the control rats treated with the diabetic drug pioglitazone (K3). The activity of SOD in diabetic rats fed in P1 and P2 were higher (<italic>p</italic> &#x3C;0.001) than in untreated diabetic rats (K2). The IC50 of kefirspirulina was 42 &#x2013; 43 ppm. It was concluded that kefir combined with spirulina has high nutrition and antioxidant capacity, which is proven to be capable of controlling glycemic status and enhancing antioxidant status in a diabetic rat model.</p>
                <p>
                    <bold>Keywords:</bold> kefir; spirulina; antioxidant; hyperglycemia; SOD</p>
            </abstract>
        </article-meta>
    </front>
    <body>
        <sec sec-type="intro">
            <title>INTRODUCTION</title>
            <p>Diabetes mellitus (DM) is a metabolic disorder characterized by chronic hyperglycemia, impaired insulin secretion, insulin resistance, and &#x3B2; cell dysfunction. The common characteristic symptoms include thirst, polyuria, polyphagia, blurring of vision, and weight loss (<xref ref-type="bibr" rid="b63">WHO, 1999</xref>). The International Diabetic Federation (IDF) reported that approximately 451 million individuals suffered from DM in 2017, and this number is predicted to increase to 693 million in 2045 (<xref ref-type="bibr" rid="b13">Cho et al., 2018</xref>). The mortality rate in 2017 of individuals aged 20 – 99 was 5 million, and this figure will continue to increase worldwide, creating a global health burden.</p>
            <p>Hyperglycemia induces free radicals production and defects in the endogenous antioxidant defense mechanism, resulting in oxidative stress (<xref ref-type="bibr" rid="b39">Moussa, 2018;</xref> <xref ref-type="bibr" rid="b51">Schultz Johansen et al., 2005</xref>). Free radicals such as reactive oxygen species (ROS) can be generated through many processes, including glucose auto-oxidation, change of redox balance, reduction of antioxidant concentration, and failure of antioxidant enzyme activity. ROS leads to oxidative damage to various biomolecules in the cell, such as proteins, lipids, and nucleic acids. ROS oxidizes the polyunsaturated fatty acids (PUFA) in the cell membranes and generate hydrogen peroxides. These hydrogen peroxides could undergo fragmentation, creating reactive intermediates, such as prostaglandin, isoprostane, and malondialdehyde (MDA) (<xref ref-type="bibr" rid="b11">Catal&#xE1;, 2009</xref>). The accumulation of ROS could induce macromolecules&#x27; glycation and may cause chronic complications in DM such as retinopathy, nephropathy, atherosclerosis, and coronary heart disease (<xref ref-type="bibr" rid="b51">Schultz Johansen et al., 2005;</xref> <xref ref-type="bibr" rid="b37">Matough et al., 2012</xref>).</p>
            <p>The high levels of ROS are commonly accompanied by the impairment of various antioxidant enzymes, such as catalase, glutathione peroxidase (GSH-Px), and superoxide dismutase (SOD) (<xref ref-type="bibr" rid="b39">Moussa, 2018</xref>). These enzymes are critical in clearing the free radicals generated in the body. SOD, for example, is an essential antioxidant enzyme capable of preventing damage to macromolecular components of cells and repairing free radical compounds (<xref ref-type="bibr" rid="b57">Valko et al., 2007</xref>).</p>
            <p>The clinical management of DM controls glycemic status by consuming diabetic drugs either orally or by injection. However, this approach could increase complications such as hyperinsulinemia and infection (<xref ref-type="bibr" rid="b19">Gedawy et al., 2018;</xref> <xref ref-type="bibr" rid="b49">Santaguida et al., 2005</xref>). Limitation in drug treatment encourages an alternative approach to DM management. There has been a growing body of evidence that functional foods and probiotics have beneficial effects on DM management (Venkatakrishnan, Chiu and Wang, 2019). Various foods rich in nutrients and bioactive compounds such as fruits, vegetables, legumes, probiotics, and fermented foods have shown promising results in controlling glycemic status and decreasing oxidative stress (<xref ref-type="bibr" rid="b9">Barengolts et al., 2019;</xref> <xref ref-type="bibr" rid="b20">Habib and Parvin, 2008</xref>).</p>
            <p>Kefir is fermented milk containing approximately 52 types of lactic acid bacteria and yeast (<xref ref-type="bibr" rid="b46">Poga&#x10D;i&#x107; et al., 2013</xref>). It is widely used as a medication to treat various illnesses in middle Asian countries (<xref ref-type="bibr" rid="b32">K&#xFD;l&#xFD;c et al., 1999</xref>). Kefir acts as antioxidants that are capable of enhancing SOD, GSH-Px, and catalase activity (<xref ref-type="bibr" rid="b29">Judiono, Djokomoeljanto and Hadisaputro, 2011</xref>).</p>
            <p>In this study, we aimed to explore kefir&#x27;s potential as functional food for controlling glycemic status and antioxidant status in DM modeled rats. To enhance the kefir activity and nutrition, we combined kefir with spirulina, nutrient-rich microalgae. Having high protein content (60 – 70%) (<xref ref-type="bibr" rid="b48">Sadeghi et al., 2018</xref>) and various bioactive compounds (<xref ref-type="bibr" rid="b64">Wu et al., 2005</xref>), spirulina has shown effectivity in controlling blood glucose (<xref ref-type="bibr" rid="b48">Sadeghi et al., 2018;</xref> <xref ref-type="bibr" rid="b52">Senthil, Balu and Murugesan, 2013</xref>) and the level of oxidative stress (<xref ref-type="bibr" rid="b40">Niccolai et al., 2019;</xref> <xref ref-type="bibr" rid="b33">Layam and Reddy, 2007</xref>).</p>
            <sec>
                <title>Scientific hypothesis</title>
                <p>This study hypothesizes that a combination of kefir and spirulina could serve as a novel functional food in DM management through controlling glycemic status and antioxidant capacity in a diabetic rat model.</p>
            </sec>
        </sec>
        <sec sec-type="materials|methods">
            <title>MATERIALS AND METHODOLOGY</title>
            <sec>
                <title>Statement of ethics</title>
                <p>This research obtained ethical approval with Ethical Clearance 152/EC/H/KEPK/FK-UNDIP/XII/2019 Faculty of Medicine, Diponegoro University, Semarang, Indonesia.</p>
            </sec>
            <sec>
                <title>Chemicals and reagents</title>
                <p>All the chemicals used were of the highest purity grade. Streptozotocin (STZ) and nicotinamide (NA) were purchased from Nacalai Tesque, Inc. (Kyoto, Japan). Chloric acid, sulphuric acid, potassium sulfate, copper sulfate, ethanol, methanol, demineralized water, potassium hydroxide, and acetone were purchased from Merck. A kit for the glucose assay (GOD-PAP) was procured from DiaSys, Holzheim, Germany. A kit for estimation of SOD activity was procured from BioVision, Inc.</p>
            </sec>
            <sec>
                <title>Preparation of kefir-spirulina</title>
                <p>Spirulina was obtained from PT Neoalgae Sukoharjo, Central Java. Spirulina generally contains 60 – 70% total protein, including essential amino acids such as leucine, isoleucine and, valine. It has 4 – 7% lipids, essential fatty acids such as linoleic and &#x3B3;-linolenic acid, and &#x3C9;-3 and &#x3C9;-6 polyunsaturated fatty acids. It also contains provitamin A, vitamin B12, and &#x3B2;-carotene (<xref ref-type="bibr" rid="b31">Koru, 2012</xref>).</p>
                <p>Kefir-spirulina was made by combining 1% cow&#x27;s milk with either 1% (w/v) or 2% (w/v) spirulina, followed by pasteurization. Kefir grain (5%) was added to the solution after it cooled down, followed by incubation at room temperature (25 – 37 &#xB0;C) for 24 hours (Figure <xref ref-type="fig" rid="F1">1</xref>). After separating the grain from the solution, the kefir-spirulina mixture was analyzed for its nutritional content, ethanol content, and antioxidant capacity.</p>
                <fig id="F1" position="float">
                    <label>Figure 1</label>
                    <caption>
                        <p>Fermentation process of kefir with 1% and 2% of spirulina.</p>
                    </caption>
                    <graphic xlink:href="PSJFS-15-1-101_F1.jpg"/>
                </fig>
            </sec>
            <sec>
                <title>Nutrient analysis</title>
                <p>Nutrient analysis was performed according to the standard official methods of the Association of Official Analytical Chemists procedures 2005 (<xref ref-type="bibr" rid="b6">AOAC, 2005</xref>). Nutritional parameters such as moisture, protein, fat, ash, carbohydrate, and fiber were determined.</p>
                <sec>
                    <title>Moisture content</title>
                    <p>Approximately 2 g of the sample (W1) was placed on a dish and dried in an oven for 5 hours at 95 – 105 &#xB0;C. After drying, the dish was transferred to a desiccator to cool, and the sample was subsequently reweighed (W2). The moisture content was calculated as:</p>
                    <p>
                        <disp-formula id="M1">
                            <mml:math display='block' xmlns:mml='http://www.w3.org/1998/Math/MathML' id="Eq1">
                                <mml:semantics>
                                    <mml:mrow>
                                        <mml:mtext>Moisture(%)&#x00A0;=</mml:mtext>
                                        <mml:mfrac>
                                            <mml:mrow>
                                                <mml:mrow>
                                                    <mml:mo>(</mml:mo>
                                                    <mml:mrow>
                                                        <mml:mtext>W1</mml:mtext>
                                                        <mml:mo>&#x2009;</mml:mo>
                                                        <mml:mtext>-</mml:mtext>
                                                        <mml:mo>&#x2009;</mml:mo>
                                                        <mml:mtext>W2</mml:mtext>
                                                    </mml:mrow>
                                                    <mml:mo>)</mml:mo>
                                                </mml:mrow>
                                            </mml:mrow>
                                            <mml:mrow>
                                                <mml:mtext>W1</mml:mtext>
                                            </mml:mrow>
                                        </mml:mfrac>
                                        <mml:mtext>&#x00D7;100%</mml:mtext>
                                    </mml:mrow>
                                </mml:semantics>
                            </mml:math>
                        </disp-formula>
                    </p>
                    <list list-type="simple">
                        <list-item>
                            <p>W1 = weight (g) of the sample before drying,</p>
                        </list-item>
                        <list-item>
                            <p>W2 = weight (g) of the sample after drying.</p>
                        </list-item>
                    </list>
                </sec>
                <sec>
                    <title>Ash content</title>
                    <p>A drying method was used to assay the ash content. Briefly, 1 g of the sample was placed in a silica crucible. The sample was spread in an even layer and placed in a muffle furnace. The furnace temperature was allowed to reach a temperature of 550 &#xB0;C for approximately 2 hours or until the sample turned white or slightly grey. The ash content was calculated as follows:</p>
                    <p>
                        <disp-formula id="M2">
                            <mml:math display='block' xmlns:mml='http://www.w3.org/1998/Math/MathML' id="Eq2">
                                <mml:semantics>
                                    <mml:mrow>
                                        <mml:mtext>Ash(%)&#x00A0;=</mml:mtext>
                                        <mml:mfrac>
                                            <mml:mrow>
                                                <mml:mtext>Weight&#x00A0;of&#x00A0;ash</mml:mtext>
                                            </mml:mrow>
                                            <mml:mrow>
                                                <mml:mtext>Weight&#x00A0;of&#x00A0;the&#x00A0;sample</mml:mtext>
                                            </mml:mrow>
                                        </mml:mfrac>
                                        <mml:mo>&#x00D7;</mml:mo>
                                        <mml:mn>100</mml:mn>
                                        <mml:mi>&#x0025;</mml:mi>
                                    </mml:mrow>
                                </mml:semantics>
                            </mml:math>
                        </disp-formula>
                    </p>
                </sec>
                <sec>
                    <title>Crude fat content</title>
                    <p>Fats were determined by the intermittent Soxhlet extraction method. A flask was weighed as an initial weight. A 2 g sample was placed in the fat sleeve. The sample and 200 mL of chloroform were added to the Soxhlet flask apparatus. The flask was then placed in an oven at 105 &#xB0;C for 2 hours, then cooled in a desiccator. The percent crude fat was determined using the following formula:</p>
                    <p>
                        <disp-formula id="M3">
                            <mml:math display='block' xmlns:mml='http://www.w3.org/1998/Math/MathML' id="Eq3">
                                <mml:semantics>
                                    <mml:mrow>
                                        <mml:mtext>Crude&#x00A0;Fat(%)&#x00A0;=</mml:mtext>
                                        <mml:mfrac>
                                            <mml:mrow>
                                                <mml:mtext>Wt.&#x00A0;of&#x00A0;ether&#x00A0;extract</mml:mtext>
                                            </mml:mrow>
                                            <mml:mrow>
                                                <mml:mtext>Wt.&#x00A0;of&#x00A0;sample</mml:mtext>
                                            </mml:mrow>
                                        </mml:mfrac>
                                        <mml:mo>&#x00D7;</mml:mo>
                                        <mml:mn>100</mml:mn>
                                        <mml:mi>&#x0025;</mml:mi>
                                    </mml:mrow>
                                </mml:semantics>
                            </mml:math>
                        </disp-formula>
                    </p>
                </sec>
                <sec>
                    <title>Crude protein content</title>
                    <p>Protein content in the sample was determined by the Kjeldahl method according to (<xref ref-type="bibr" rid="b2">Afifah et al., 2019</xref>) with some modification. A 2 g sample was digested by adding 15 mL of concentrated H2SO4 and two tablets of catalyst. The solution mixture was boiled until the solution was clear. The solution was filtered into a volumetric flask and connected for distillation. Ammonia was steam distilled from the solution, to which 50 mL of 45% sodium hydroxide solution had been added. 150 mL of the distillate was collected in a flask containing 100 mL of 0.1 N HCl and methyl red indicator. The ammoniacontaining distillate reacted with the acid, and the excess acid in the flask was estimated by back titration against 2.0 M NaOH.</p>
                </sec>
                <sec>
                    <title>Carbohydrate</title>
                    <p>Total carbohydrate content was calculated as an approximation percentage with the following formula:</p>
                    <p>
                        <disp-formula id="M4">
                            <mml:math display='block' xmlns:mml='http://www.w3.org/1998/Math/MathML' id="Eq4">
                                <mml:semantics>
                                    <mml:mtable columnalign='left'>
                                        <mml:mtr>
                                            <mml:mtd>
                                                <mml:mtext>(%)&#x00A0;Carbohydrate&#x00A0;=&#x00A0;100%&#x00A0;-&#x00A0;[Protein(%)&#x00A0;+</mml:mtext>
                                            </mml:mtd>
                                        </mml:mtr>
                                        <mml:mtr>
                                            <mml:mtd>
                                                <mml:mtext>Moisture&#x00A0;(%)&#x00A0;+&#x00A0;Ash&#x00A0;(%)&#x00A0;+&#x00A0;Fat&#x00A0;(%)</mml:mtext>
                                            </mml:mtd>
                                        </mml:mtr>
                                    </mml:mtable>
                                </mml:semantics>
                            </mml:math>
                        </disp-formula>
                    </p>
                </sec>
                <sec>
                    <title>Dietary fiber content</title>
                    <p>The sample (2 – 3 g) was mixed with 50 mL of 1.25% H<sub>2</sub>SO<sub>4</sub> in a flask for 30 minutes. An amount of 50 mL NaOH (3.25%) was added to the mixture, then boiled. The mixture was filtered through a Buchner funnel containing Whatman paper and washed with 1.25% H<sub>2</sub>SO<sub>4</sub>, hot water, and 96% ethanol. The residue left in the Whatman paper was weighed.</p>
                    <p>
                        <disp-formula id="M5">
                            <mml:math display='block' xmlns:mml='http://www.w3.org/1998/Math/MathML' id="Eq5">
                                <mml:semantics>
                                    <mml:mrow>
                                        <mml:mstyle mathvariant='bold-italic' mathsize='normal'>
                                            <mml:mi>C</mml:mi>
                                            <mml:mi>r</mml:mi>
                                            <mml:mi>u</mml:mi>
                                            <mml:mi>d</mml:mi>
                                            <mml:mi>e</mml:mi>
                                        </mml:mstyle>
                                        <mml:mo>&#x2009;</mml:mo>
                                        <mml:mstyle mathvariant='bold-italic' mathsize='normal'>
                                            <mml:mi>f</mml:mi>
                                            <mml:mi>i</mml:mi>
                                            <mml:mi>b</mml:mi>
                                            <mml:mi>e</mml:mi>
                                            <mml:mi>r</mml:mi>
                                        </mml:mstyle>
                                        <mml:mrow>
                                            <mml:mo>(</mml:mo>
                                            <mml:mi>&#x0025;</mml:mi>
                                            <mml:mo>)</mml:mo>
                                        </mml:mrow>
                                        <mml:mo>=</mml:mo>
                                        <mml:mfrac>
                                            <mml:mrow>
                                                <mml:mstyle mathvariant='bold-italic' mathsize='normal'>
                                                    <mml:mi>W</mml:mi>
                                                    <mml:mn>1</mml:mn>
                                                </mml:mstyle>
                                                <mml:mo>&#x2212;</mml:mo>
                                                <mml:mstyle mathvariant='bold-italic' mathsize='normal'>
                                                    <mml:mi>W</mml:mi>
                                                    <mml:mn>2</mml:mn>
                                                </mml:mstyle>
                                            </mml:mrow>
                                            <mml:mrow>
                                                <mml:mstyle mathvariant='bold-italic' mathsize='normal'>
                                                    <mml:mi>W</mml:mi>
                                                    <mml:mn>1</mml:mn>
                                                </mml:mstyle>
                                            </mml:mrow>
                                        </mml:mfrac>
                                        <mml:mo>&#x00D7;</mml:mo>
                                        <mml:mstyle mathvariant='bold-italic' mathsize='normal'>
                                            <mml:mn>100</mml:mn>
                                        </mml:mstyle>
                                        <mml:mi>&#x0025;</mml:mi>
                                    </mml:mrow>
                                </mml:semantics>
                            </mml:math>
                        </disp-formula>
                    </p>
                </sec>
                <sec>
                    <title>Ethanol content</title>
                    <p>The ethanol content in the sample was determined using high-performance liquid chromatography (HPLC), according to (<xref ref-type="bibr" rid="b14">Dias et al., 2020</xref>). Water as a mobile phase was used together with column YMC-Triat C8 (150 mm &#xD7; 4.6 mm, particle size: 5 &#x3BC;m). 20 &#x3BC;L of the sample was run with 1 mL.min<sup>-1</sup> flowrate at 40 &#xB0;C for 15 minutes.</p>
                </sec>
                <sec>
                    <title>Antioxidant activity</title>
                    <p>Antioxidant activity was determined based on 2,2-DiphenyL<sup>-1</sup>-picrylhydrazyl (DPPH) scavenging activity. The kefir sample was diluted in methanol absolute and mixed well. A series of sample concentrations of 5 ppm, 10 ppm, and 20 ppm were diluted with methanol absolute up to 5 mL, after which 1 mL of 0.4 mM DPPH solution was added. The mixture was shaken vigorously and incubated at room temperature for 30 min in the dark, and the absorbance was measured at 517 nm. Trolox with various concentrations was used to make a standard curve.</p>
                    <p>
                        <disp-formula id="M6">
                            <mml:math display='block' xmlns:mml='http://www.w3.org/1998/Math/MathML' id="Eq6">
                                <mml:semantics>
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                                        <mml:mtext>%&#x00A0;Inhibition&#x00A0;=</mml:mtext>
                                        <mml:mfrac>
                                            <mml:mrow>
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                                                    <mml:mtext>A</mml:mtext>
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                                                    </mml:mrow>
                                                </mml:msub>
                                                <mml:msub>
                                                    <mml:mrow>
                                                        <mml:mtext>-A</mml:mtext>
                                                    </mml:mrow>
                                                    <mml:mrow>
                                                        <mml:mtext>sample</mml:mtext>
                                                    </mml:mrow>
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                                                        <mml:mtext>control</mml:mtext>
                                                    </mml:mrow>
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                                            </mml:mrow>
                                        </mml:mfrac>
                                        <mml:mtext>&#x00D7;100%</mml:mtext>
                                    </mml:mrow>
                                </mml:semantics>
                            </mml:math>
                        </disp-formula>
                    </p>
                    <p>The concentration of kefir-spirulina providing 50% inhibition(IC<sub>50</sub>) was calculated from the plotted graph of kefir-spirulina concentration and percentage of inhibition. The IC<sub>50</sub> value was then estimated using the fitted line (<xref ref-type="bibr" rid="b23">Hendel, Larous and Belbey, 2016</xref>).</p>
                    <p>
                        <disp-formula id="M7">
                            <mml:math display='block' xmlns:mml='http://www.w3.org/1998/Math/MathML' id="Eq7">
                                <mml:semantics>
                                    <mml:mtable columnalign='left'>
                                        <mml:mtr>
                                            <mml:mtd>
                                                <mml:mtext>Y&#x00A0;=&#x00A0;a&#x00A0;*&#x00A0;X&#x00A0;+&#x00A0;b</mml:mtext>
                                            </mml:mtd>
                                        </mml:mtr>
                                        <mml:mtr>
                                            <mml:mtd>
                                                <mml:msub>
                                                    <mml:mtext>IC</mml:mtext>
                                                    <mml:mrow>
                                                        <mml:mtext>50</mml:mtext>
                                                    </mml:mrow>
                                                </mml:msub>
                                                <mml:mo>=</mml:mo>
                                                <mml:mfrac>
                                                    <mml:mrow>
                                                        <mml:mrow>
                                                            <mml:mo>(</mml:mo>
                                                            <mml:mrow>
                                                                <mml:mn>0.5</mml:mn>
                                                                <mml:mo>&#x2212;</mml:mo>
                                                                <mml:mi>b</mml:mi>
                                                            </mml:mrow>
                                                            <mml:mo>)</mml:mo>
                                                        </mml:mrow>
                                                    </mml:mrow>
                                                    <mml:mi>a</mml:mi>
                                                </mml:mfrac>
                                            </mml:mtd>
                                        </mml:mtr>
                                    </mml:mtable>
                                </mml:semantics>
                            </mml:math>
                        </disp-formula>
                    </p>
                </sec>
            </sec>
            <sec>
                <title>Animal experiment</title>
                <p>The sample used in this study was a male Sprague Dawley <italic>Rattus novegicus</italic> aged 8 weeks, weighing approximately 150 – 200 g. The animals were acclimatized for one week in a temperature-controlled room (20 ‒ 25 &#xB0;C) and maintained on a 12 h light/12 h dark cycle. They were allowed free access to a standard commercial diet (Comfeed II, Japfa) and tap water. A total of 30 male Sprague Dawley rats were divided into five groups: normal control (K1), diabetic control (K2), pioglitazone treatment (K3), kefir combined with 1% spirulina treatment (P1), and kefir combined with 2% spirulina treatment (P2). All rats were induced by streptozotocin-nicotinamide (STZ- NA), except for the normal control. Nicotinamide (NA) was dissolved in saline solution and given intraperitoneally (i.p.) at a dose of 110 mg.kg<sup>-1</sup> body weight. After 15 minutes, the rats were induced by 45 mg.kg<sup>-1</sup> body weight of streptozotocin (STZ) in citrate buffer (i.p.). The rats considered having diabetes if three days after induction the fasting blood glucose was more than 126 mg.dL<sup>-1</sup> and plasma glucose were more than 200 mg.dL<sup>-1</sup>. Groups P1 and P2 received kefir-spirulina via gavage with a total dose of 3 mL.200g<sup>-1</sup> body weight per day orally for 28 days. Group K3 received the diabetes drug pioglitazone at a dose of 0.27 mg.200g<sup>-1</sup> body weight per day orally for 28 days.</p>
                <p>Before and after the 28 days of intervention, blood samples were taken through the retro-orbital sinus and were analyzed for fasting plasma glucose, postprandial glucose, and SOD activity.</p>
                <sec>
                    <title>Blood glucose test</title>
                    <p>Fasting and postprandial blood glucose were determined using the Glucose Oxidase Phenol 4-Aminoantipyrine Peroxidase (GPO-PAP) according to the kit (DiaSys, Holzheim, Germany). Briefly, 10 &#x3BC;L of blood plasma was mixed with 1000 &#x3BC;L of reagent, then incubated for 20 minutes at 20 – 25 &#xB0;C. The absorbance was read at 505 nm (<xref ref-type="bibr" rid="b55">System, 2012</xref>).</p>
                </sec>
                <sec>
                    <title>Analysis of SOD activity</title>
                    <p>SOD activity was measured via the WST method using a kit by BioVision. Briefly, 20 &#x3BC;L of blood plasma was mixed with 200 &#x3BC;L of WST solution, 20 &#x3BC;L of dilution buffer, and 20 &#x3BC;L of the SOD working solution. The mixture was then incubated for 20 minutes at 37 &#xB0;C, and absorbance was read at 450 nm (<xref ref-type="bibr" rid="b54">SOD Assay, 2019</xref>).</p>
                </sec>
            </sec>
            <sec>
                <title>Statistical analysis</title>
                <p>Statistical analyses were performed using SPSS version 24 (<xref ref-type="bibr" rid="b27">IBM, 2016</xref>). The obtained data were analyzed using Shapiro-Wilk since the data were normally distributed. The paired t-test and one-way ANOVA were used to determine the effect of experimental treatments. Differences were considered to be significant if <italic>p</italic>-values less than 0.05 (<italic>p</italic> &#x003C;0.05). In the case of variance homogeneity <italic>p</italic> &#x003E;0.05, post-hoc LSD was used; otherwise, post-hoc Tamhane was used.</p>
            </sec>
        </sec>
        <sec sec-type="results|discussion">
            <title>RESULTS AND DISCUSSION</title>
            <sec>
                <title>Nutrient content</title>
                <p>Table <xref ref-type="table" rid="T1">1</xref> showed the nutrient content of the two formulations of kefir-spirulina. The water content was 93.82% and 92.67% for formulas A and B, respectively. The high water content in the two formulations was due to the clear part of the kefir used in the formulation, while the curd was separated. Our result is in line with several other studies that showed that kefir generally contained 89 – 90% water (<xref ref-type="bibr" rid="b50">Sarkar, 2007;</xref> <xref ref-type="bibr" rid="b45">Plessas et al., 2017</xref>).</p>
                <table-wrap id="T1" position="float">
                    <label>Table 1</label>
                    <caption>
                        <p>The nutritional content of the two formulations of kefir-spirulina.</p>
                    </caption>
                    <table frame="hsides" rules="none" width="100%">
                        <thead>
                            <tr>
                                <th> Formulation </th>
                                <th> Water  </th>
                                <th> Protein  </th>
                                <th> Fat (%) </th>
                                <th> Ash  </th>
                                <th> Carbohydrate  </th>
                                <th> Fiber  </th>
                            </tr>
                            <tr>
                                <th colspan="7">
                                    <hr/>
                                </th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="center"> (A) Kefir with1% spirulina  </td>
                                <td align="center"> 93.82 &#x00B1;0.17 </td>
                                <td align="center"> 4.02 &#x00B1;0.22 </td>
                                <td align="center"> 0.20 &#x00B1;0.05 </td>
                                <td align="center"> 0.76 &#x00B1;0.04 </td>
                                <td align="center"> 1.56 &#x00B1;0.22 </td>
                                <td align="center"> 2.49 </td>
                            </tr>
                            <tr>
                                <td align="center"> (B) Kefir with 2% spirulina  </td>
                                <td align="center"> 92.67 &#x00B1;0.47 </td>
                                <td align="center"> 5.53 &#x00B1;0.22 </td>
                                <td align="center"> 0.29 &#x00B1;0.07 </td>
                                <td align="center"> 0.72 &#x00B1;0.08 </td>
                                <td align="center"> 1.12 &#x00B1;1.17 </td>
                                <td align="center"> 6.40 </td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <p>The ash content for the kefir formulation was similar, at 0.76% (formula A) and 0.72% (formula B). Our results were comparable with several other studies that found ash content was around 0.7 – 1.1% (<xref ref-type="bibr" rid="b7">Arslan, 2014;</xref> <xref ref-type="bibr" rid="b45">Plessas et al., 2017;</xref> <xref ref-type="bibr" rid="b47">Rosa et al., 2017</xref>).</p>
                <p>The two kefir formulations prepared in this study contained 4.02% and 5.53% protein, almost twice the minimum amount suggested by CODEX STAN 234-2003 (<xref ref-type="bibr" rid="b17">FAO, 2010</xref>). It has been shown previously that kefir usually contains 3% of protein (<xref ref-type="bibr" rid="b50">Sarkar, 2007;</xref> <xref ref-type="bibr" rid="b45">Plessas et al., 2017;</xref> <xref ref-type="bibr" rid="b35">Magalh&#xE3;es et al., 2011</xref>). The improvement of the protein content of the kefir prepared in this study is likely due to the addition of spirulina, which is rich in protein (circa 60 – 70% of its dry weight) (<xref ref-type="bibr" rid="b64">Wu et al., 2005</xref>). The addition of 2% spirulina to the kefir showed higher protein content than the addition of 1% spirulina.</p>
                <p>The carbohydrates content of kefir-spirulina for formula A and B were 1.56% and 1.12%, respectively. These results are lower than previous studies indicating that kefir contains carbohydrates between 3.8% and 4.7% (<xref ref-type="bibr" rid="b7">Arslan, 2014</xref>). The fiber content in this study&#x27;s kefir formulations was 2.49% (formula A) and 6.40% (formula B). Fiber is a nonstarch polysaccharide with high nutritional value; the high fiber content in spirulina will slow down the glucose absorption in the ileum, thereby lowering postprandial glucose (<xref ref-type="bibr" rid="b24">Hern&#xE1;ndez-Alonso et al., 2017;</xref> <xref ref-type="bibr" rid="b12">Chandalia et al., 2000</xref>).</p>
                <p>Fat content in the kefir formulations was 1.04% (formula A) and 0.59% (formula B). The low level of fat found in our kefir formulations was presumably due to lipase activity, which was produced by lactic acid bacteria (BAL). This study&#x27;s fat content is relatively higher compared to the 0.2% that was shown in previous studies (<xref ref-type="bibr" rid="b50">Sarkar, 2007;</xref> <xref ref-type="bibr" rid="b45">Plessas et al., 2017</xref>). Fat content in the kefir could vary depending on the type of milk used in the fermentation process (<xref ref-type="bibr" rid="b44">Otles and Cagindi, 2003</xref>).</p>
            </sec>
            <sec>
                <title>Ethanol content</title>
                <p>One of the main products of kefir fermentation was ethanol. The kefir-spirulina prepared in this study has a relatively low ethanol content (Table <xref ref-type="table" rid="T2">2</xref>), which was 0.59% (formula A) and 0.65% (formula B). Ethanol in the kefir is usually in the range of 0.5 – 2.0% (<xref ref-type="bibr" rid="b47">Rosa et al., 2017;</xref> <xref ref-type="bibr" rid="b30">Kara&#xE7;al&#x131;, &#xD6;zdem&#x130;r and &#xC7;on, 2018</xref>). Foods or beverages with low ethanol content are beneficial, especially in a country with religious restrictions regarding foods and beverages containing alcohol. The lactose fermentation of kefir generated ethanol, which contributed to the kefir&#x27;s characteristic aroma (<xref ref-type="bibr" rid="b16">Ertekin and Guzel- Seydim, 2010</xref>). Generally, the level of ethanol in kefir is influenced by yeast metabolism and heterofermentative bacteria that produce ethanol (<xref ref-type="bibr" rid="b18">Farnworth, 2008</xref>).</p>
                <table-wrap id="T2" position="float">
                    <label>Table 2</label>
                    <caption>
                        <p>Ethanol content and antioxidant activity of kefir-spirulina.</p>
                    </caption>
                    <table frame="hsides" rules="none" width="100%">
                        <thead>
                            <tr>
                                <th> Formulation </th>
                                <th> Ethanol (%) </th>
                                <th> IC<sub>50</sub> (ppm) </th>
                            </tr>
                            <tr>
                                <th colspan="3">
                                    <hr/>
                                </th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="center"> (A) Kefir with1% spirulina </td>
                                <td align="center"> 0.59 </td>
                                <td align="center"> 43.65 &#x00B1;0.15 </td>
                            </tr>
                            <tr>
                                <td align="center"> (B) Kefir with 2% spirulina </td>
                                <td align="center"> 0.65 </td>
                                <td align="center"> 42.00 &#x00B1;0.08 </td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
            </sec>
            <sec>
                <title>Antioxidant activity</title>
                <p>The antioxidant activity of kefir-spirulina in this study was determined based on DPPH radical scavenging activity and presented as half-maximal inhibitory concentration IC<sub>50</sub>. The average total antioxidant activity of kefir-spirulina showed relatively strong activity, with IC<sub>50</sub> of 43.65 ppm and 42.00 ppm, for formulas A and B, respectively (Table <xref ref-type="table" rid="T2">2</xref>). An antioxidant is considered to be very strong if the IC<sub>50</sub> is less than 50 ppm, strong if IC<sub>50</sub> is 50 ppm – 100 ppm, weak if IC<sub>50</sub> is 150 ppm – 200 ppm, and very weak if IC<sub>50</sub> is more than 200 ppm (<xref ref-type="bibr" rid="b38">Molyneux, 2004;</xref> <xref ref-type="bibr" rid="b8">Badarinath et al., 2010</xref>).</p>
                <p>Kefir has been known to contain various antioxidant compounds capable of binding free radicals, decreasing the malondialdehyde concentration, and increasing glutathione peroxidase, thus regulating the level of oxidative stress (<xref ref-type="bibr" rid="b47">Rosa et al., 2017</xref>). Antioxidant activity in kefir-spirulina increased during the fermentation process. The proton of the acids produced by lactic acid bacteria during fermentation can be donated to the free radicals, increasing the primary antioxidant capacity (<xref ref-type="bibr" rid="b60">Waris and Ahsan, 2006</xref>).</p>
            </sec>
            <sec>
                <title>Bodyweight of experimental rats</title>
                <p>The rats&#x27; body weight during the whole experiment (before and after treatment) is shown in Table <xref ref-type="table" rid="T3">3</xref>. After 7 days of acclimatization, all rats except for the normal control (K1) were induced by STZ-NA. After 3 days, all diabetic rats received treatments for 28 days, except for the negative control (K2). Rats in diabetic control groups (K2) experienced a decrease in their body weight (<italic>p</italic> &#x003C;0.05). This result is not surprising since STZ-NA induction may cause physiological changes and alteration in energy metabolism, affecting body weight. STZ induction may damage the pancreas. The pancreas&#x27; function is to synthesize and secrete insulin, which is vital in glucose utilization and, eventually, energy production. A disruption in insulin production causes a disturbance in energy homeostasis. As compensation, the body will shift towards fat and protein metabolism and may cause weight loss (<xref ref-type="bibr" rid="b56">Szkudelski, 2001</xref>). When diabetic rats were treated with the diabetic drug (K3) or kefir-spirulina (P1 and P2), body weight was compensated. We found no significant body weight changes (<italic>p</italic> &#x003E;0.05) in diabetic rats treated with kefir-spirulina (P1 and P2) or with diabetic drugs (K3). Kefir has an immunomodulatory effect capable of improving intestinal microflora and absorption, therefore improving body weight (Judiono, Djokomoeljanto and Hadisaputro, 2010).</p>
                <table-wrap id="T3" position="float">
                    <label>Table 3</label>
                    <caption>
                        <p>The average body weight of the experimental animals.</p>
                    </caption>
                    <table frame="hsides" rules="none" width="100%">
                        <thead>
                            <tr>
                                <th rowspan="3"> Group </th>
                                <th colspan="3"> Body weight (g) &#x00B1;SD </th>
                                <th rowspan="3">
                                    <italic>p<sup>b</sup></italic>
                                </th>
                            </tr>
                            <tr>
                                <th colspan="3">
                                    <hr/>
                                </th>
                            </tr>
                            <tr>
                                <th> Pre-treatment </th>
                                <th> Post-treatment </th>
                                <th> Delta pre-post </th>
                            </tr>
                            <tr>
                                <th colspan="5">
                                    <hr/>
                                </th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="center"> K1 (Normal control) </td>
                                <td align="center"> 187.67 &#x00B1;12.59 </td>
                                <td align="center"> 199.33 &#x00B1;22.28 </td>
                                <td align="center"> 11.66 &#x00B1;17.68 </td>
                                <td align="center"> 0.249 </td>
                            </tr>
                            <tr>
                                <td align="center"> K2 (Diabetic control) </td>
                                <td align="center"> 166.17 &#x00B1;4.17 </td>
                                <td align="center"> 151.00 &#x00B1;4.73 </td>
                                <td align="center"> -15.17 &#x00B1;1.33 </td>
                                <td align="center"> 0.026<sup>&#x002A;</sup> </td>
                            </tr>
                            <tr>
                                <td align="center"> K3 (Diabetic + Pioglitazone) </td>
                                <td align="center"> 166.17 &#x00B1;10.87 </td>
                                <td align="center"> 173.67 &#x00B1;15.82 </td>
                                <td align="center"> 12.50 &#x00B1;21.57 </td>
                                <td align="center"> 0.173 </td>
                            </tr>
                            <tr>
                                <td align="center"> P1 (Diabetic + Kefir with 1% spirulina) </td>
                                <td align="center"> 170.67 &#x00B1;17.69 </td>
                                <td align="center"> 172.17 &#x00B1;7.88 </td>
                                <td align="center"> 1,50 &#x00B1;23.85 </td>
                                <td align="center"> 0.462 </td>
                            </tr>
                            <tr>
                                <td align="center"> P2 (Diabetic + Kefir with 2% spirulina) </td>
                                <td align="center"> 188.67 &#x00B1;32.44 </td>
                                <td align="center"> 198.67 &#x00B1;24.24 </td>
                                <td align="center"> 10.00 &#x00B1;37.54 </td>
                                <td align="center"> 0.893 </td>
                            </tr>
                            <tr>
                                <td align="center"> <italic>p<sup>a</sup></italic> </td>
                                <td align="center"> 0.023<sup>&#x002A;</sup> </td>
                                <td align="center"> 0.001<sup>&#x002A;</sup> </td>
                                <td align="center"> 0.066 </td>
                                <td align="center">   </td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <fn id="T3FN1">
                            <p>Note: aWilcoxon; bKruskal-Wallis; *Significant (<italic>p</italic> &#x3C;0.05).</p>
                        </fn>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec>
                <title>Fasting and postprandial glucose analysis</title>
                <p>Table <xref ref-type="table" rid="T4">4</xref> compares the changes in fasting plasma glucose levels in the five groups. The rats&#x27; blood glucose level in the normal control (K1) remained relatively stable at a normal level. In contrast, diabetic rats with no treatment (K2) suffered from consistently high glucose levels. The effect of 28 days of administration of kefir-spirulina (P1and P2) or the diabetic drug pioglitazone (K3) on the diabetic rats significantly decreased the glucose level (<italic>p</italic> &#x003C;0.001). Pioglitazone reduced blood glucose by improving glucose uptake in peripheral tissue and eventually enhanced insulin sensitivity (<xref ref-type="bibr" rid="b62">Waugh et al., 2006</xref>). On the other hand, kefir&#x27;s ability to control plasma glucose levels has been shown through several studies (<xref ref-type="bibr" rid="b41">Nurliyani, Harmayani and Sunarti, 2015;</xref> <xref ref-type="bibr" rid="b10">Bellikci- Koyu et al., 2019</xref>). Kefir contains bioactive components such as peptides, short-chain fatty acids (SCFA), and exopolysaccharides (EPSs) that could affect the plasma glucose level. EPSs can increase cAMP concentration on Langerhans&#x27; islands so that the pancreas can increase insulin secretion (<xref ref-type="bibr" rid="b5">Al-Shemmari, Kassim Altaee and Hassan, 2018</xref>). It also activates glucagon-like peptide 1 (GLP 1) and gastric inhibitory peptide (GIP), which subsequently enhances insulin secretion (<xref ref-type="bibr" rid="b5">Al-Shemmari, Kassim Altaee and Hassan, 2018;</xref> <xref ref-type="bibr" rid="b22">Hadisaputro et al., 2012;</xref> <xref ref-type="bibr" rid="b29">Judiono, Djokomoeljanto and Hadisaputro, 2011;</xref> <xref ref-type="bibr" rid="b15">El-Bashiti, Zabut and Abu Safia, 2019</xref>). Furthermore, EPSs have also been proved to have antioxidant properties through free radical scavenging activity (<xref ref-type="bibr" rid="b36">Mao et al., 2014</xref>), which gives protection from oxidative damage that occurred on pancreatic cells. The high protein content in the kefir has an indirect role in regulating glucose levels through the regeneration and maintenance of pancreatic &#x3B2; cells (<xref ref-type="bibr" rid="b26">Hulston, Churnside and Venables, 2015</xref>). SCFAs, on the other hand, are produced by the activities of probiotic microorganisms present in the kefir grain (<xref ref-type="bibr" rid="b53">Simova et al., 2002</xref>). SCFA were thought capable of protecting pancreatic &#x3B2;-cells, increasing enzymatic antioxidant activity, and improving insulin resistance through regulating the expression of tumor necrosis factor-alpha (alpha TNF&#x3B1;) and nuclear factor-kappa B (NF-kB) (<xref ref-type="bibr" rid="b59">Wang et al., 2017</xref>).</p>
                <table-wrap id="T4" position="float">
                    <label>Table 4</label>
                    <caption>
                        <p>Fasting blood glucose levels (mg.dL<sup>-1</sup>).</p>
                    </caption>
                    <table frame="hsides" rules="none" width="100%">
                        <thead>
                            <tr>
                                <th rowspan="3"> Group </th>
                                <th colspan="3"> Average fasting blood glucose &#x00B1; SD </th>
                                <th rowspan="3">
                                    <italic>p<sup>b</sup></italic>
                                </th>
                            </tr>
                            <tr>
                                <th colspan="3">
                                    <hr/>
                                </th>
                            </tr>
                            <tr>
                                <th> Pre-treatment </th>
                                <th> Post-treatment </th>
                                <th> Delta pre-post </th>
                            </tr>
                            <tr>
                                <th colspan="5">
                                    <hr/>
                                </th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="center"> <bold>K1 (Normal control)</bold> </td>
                                <td align="center"> 69.37 &#x00B1;1.25 </td>
                                <td align="center"> 71.17 &#x00B1;2.51 </td>
                                <td align="center"> 1.80 &#x00B1;1.91 </td>
                                <td align="center"> 0.069 </td>
                            </tr>
                            <tr>
                                <td align="center"> <bold>K2 (Diabetic control)</bold> </td>
                                <td align="center"> 263.42 &#x00B1;2.98 </td>
                                <td align="center"> 265.53 &#x00B1;2.43 </td>
                                <td align="center"> 2.10 &#x00B1;1.31 </td>
                                <td align="center"> 0.011<sup>&#x002A;</sup> </td>
                            </tr>
                            <tr>
                                <td align="center"> <bold>K3 (Diabetic + Pioglitazone)</bold> </td>
                                <td align="center"> 268.05 &#x00B1;3.27 </td>
                                <td align="center"> 99.35 &#x00B1;2.90 </td>
                                <td align="center"> -168.70 &#x00B1;4.41 </td>
                                <td align="center"> 0.000<sup>&#x002A;</sup> </td>
                            </tr>
                            <tr>
                                <td align="center"> <bold>P1 (Diabetic + Kefir with 1% spirulina)</bold> </td>
                                <td align="center"> 270 &#x00B1;3.03 </td>
                                <td align="center"> 150.62 &#x00B1;1.43 </td>
                                <td align="center"> -119.44 &#x00B1;1.96 </td>
                                <td align="center"> 0.000<sup>&#x002A;</sup> </td>
                            </tr>
                            <tr>
                                <td align="center"> <bold>P2 (Diabetic + Kefir with 2% spirulina)</bold> </td>
                                <td align="center"> 266.98 &#x00B1;4.36 </td>
                                <td align="center"> 105.89 &#x00B1;3.61 </td>
                                <td align="center"> -161.09 &#x00B1;7.11 </td>
                                <td align="center"> 0.000<sup>&#x002A;</sup> </td>
                            </tr>
                            <tr>
                                <td align="center"> <italic>p<sup>a</sup></italic> </td>
                                <td align="center"> 0.000<sup>&#x002A;</sup> </td>
                                <td align="center"> 0.000<sup>&#x002A;</sup> </td>
                                <td align="center"> 0.000<sup>&#x002A;</sup> </td>
                                <td align="center">   </td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <fn id="T4FN1">
                            <p>Note: aOne-Way ANOVA; bPaired t-test; *Significant (<italic>p</italic> &#x3C;0.05).</p>
                        </fn>
                    </table-wrap-foot>
                </table-wrap>
                <p>As expected, combining spirulina and kefir improved the ability to control glucose levels. Increasing the spirulina composition by a factor of two (formula B on group P2) improved the ability of kefir-spirulina to lower the glucose level (glucose changes of P1 vs P2 were 112.47 mg.dL<sup>-1</sup> vs 154.12 mg.dL<sup>-1</sup>; post-hoc test (<italic>p</italic> &#x003C;0.05). This result indicated the synergistic effect of bioactive compounds present in the kefir-spirulina formulation. The synergistic effect of modified kefir has also been shown in several other studies (<xref ref-type="bibr" rid="b41">Nurliyani, Harmayani and Sunarti, 2015;</xref> <xref ref-type="bibr" rid="b29">Judiono, Djokomoeljanto and Hadisaputro, 2011</xref>). Spirulina consists of several bioactive compounds such as phycocyanin, carotenoids, vitamin E, chlorophyll, flavonoids, saponins, and phenolic compounds (<xref ref-type="bibr" rid="b42">Okechukwu et al., 2019</xref>). The C-phycocyanin (C-PC) peptide activates the insulin signaling pathway, regulates glucokinase expression in the pancreas and liver, and protects pancreatic &#x3B2; cells (<xref ref-type="bibr" rid="b34">Li et al., 2020</xref>). Previous studies showed that spirulina consumption could reduce blood glucose levels (<xref ref-type="bibr" rid="b25">Huang et al., 2018;</xref> <xref ref-type="bibr" rid="b3">Aissaoui et al., 2017;</xref> <xref ref-type="bibr" rid="b28">Jarouliya et al., 2015</xref>). Spirulina reduced blood glucose levels by stimulating &#x3B2; cell activity and increasing glucose transport to peripheral tissues (<xref ref-type="bibr" rid="b33">Layam and Reddy, 2007</xref>). Moreover, it has high fiber content, which slows down macronutrients&#x27; digestive process (<xref ref-type="bibr" rid="b24">Hern&#xE1;ndez-Alonso et al., 2017</xref>), thus maintaining the plasma glucose level.</p>
                <p>We also analyzed postprandial glucose levels. Compared with fasting glucose, postprandial glucose level was thought to be better associated with the risk factor of diabetes and the level of HbA1c (<xref ref-type="bibr" rid="b21">Haddadinezhad and Ghazaleh, 2010</xref>), which reflects the glycemic control in diabetes patients over a certain period. According to the American Diabetes Association (ADA), the recommended postprandial glucose level for diabetes patients is below 180 mg.dL<sup>-1</sup> (<xref ref-type="bibr" rid="b1">ADA, 2018</xref>). The postprandial glucose levels of the five groups are presented in Table <xref ref-type="table" rid="T5">5</xref>. In general, the changes in postprandial glucose of all groups are in agreement with the results obtained in fasting glucose levels. As can be seen in Table <xref ref-type="table" rid="T5">5</xref>, treatment with pioglitazone (K3) and kefir-spirulina (P1 and P2) successfully reduced (<italic>p</italic> &#x003C;0.001) the postprandial glucose concentration to less than 180 mg.dL<sup>-1</sup> (K3 = 110 mg.dL<sup>-1</sup>, P1 = 170 mg.dL<sup>-1</sup>, and P2 = 126 mg.dL<sup>-1</sup>). The ability of kefir to reduce postprandial glucose has also been shown in other studies (<xref ref-type="bibr" rid="b4">Alsayadi et al., 2014</xref>). The biggest changes in postprandial glucose levels in this study were observed in group P2, which was treated with kefir combined with 2% spirulina (formula B).</p>
                <table-wrap id="T5" position="float">
                    <label>Table 5</label>
                    <caption>
                        <p>Postprandial blood glucose (mg.dL<sup>-1</sup>).</p>
                    </caption>
                    <table frame="hsides" rules="none" width="100%">
                        <thead>
                            <tr>
                                <th rowspan="3"> Group </th>
                                <th colspan="3"> Average postprandial blood glucose &#x00B1; SD </th>
                                <th rowspan="3">
                                    <italic>p<sup>b</sup></italic>
                                </th>
                            </tr>
                            <tr>
                                <th colspan="3">
                                    <hr/>
                                </th>
                            </tr>
                            <tr>
                                <th> Pre-treatment </th>
                                <th> Post-treatment </th>
                                <th> Delta pre-post </th>
                            </tr>
                            <tr>
                                <th colspan="5">
                                    <hr/>
                                </th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="center"> <bold>K1 (Normal control)</bold> </td>
                                <td align="center"> 77.92 &#x00B1;1.80 </td>
                                <td align="center"> 81.26 &#x00B1;1.98 </td>
                                <td align="center"> 3.34 &#x00B1;0.97 </td>
                                <td align="center"> 0.000<sup>&#x002A;</sup> </td>
                            </tr>
                            <tr>
                                <td align="center"> <bold>K2 (Diabetic control)</bold> </td>
                                <td align="center"> 278.58 &#x00B1;3.25 </td>
                                <td align="center"> 274.06 &#x00B1;2.64 </td>
                                <td align="center"> -4.52 &#x00B1;2.64 </td>
                                <td align="center"> 0.010<sup>&#x002A;</sup> </td>
                            </tr>
                            <tr>
                                <td align="center"> <bold>K3 (Diabetic + Pioglitazone)</bold> </td>
                                <td align="center"> 281.38 &#x00B1;3.74 </td>
                                <td align="center"> 110.71 &#x00B1;3.77 </td>
                                <td align="center"> -170.67 &#x00B1;5.23 </td>
                                <td align="center"> 0.000<sup>&#x002A;</sup> </td>
                            </tr>
                            <tr>
                                <td align="center"> <bold>P1 (Diabetic + Kefir with 1% spirulina)</bold> </td>
                                <td align="center"> 283.52 &#x00B1;1.74 </td>
                                <td align="center"> 170.05 &#x00B1;2.96 </td>
                                <td align="center"> -112.47 &#x00B1;1.62 </td>
                                <td align="center"> 0.000<sup>&#x002A;</sup> </td>
                            </tr>
                            <tr>
                                <td align="center"> <bold>P2 (Diabetic + Kefir with 2% spirulina)</bold> </td>
                                <td align="center"> 280.24 &#x00B1;4.36 </td>
                                <td align="center"> 126.18 &#x00B1;4.03 </td>
                                <td align="center"> -154.12 &#x00B1;7.09 </td>
                                <td align="center"> 0.000<sup>&#x002A;</sup> </td>
                            </tr>
                            <tr>
                                <td align="center"> <italic>p<sup>a</sup></italic> </td>
                                <td align="center"> 0.000<sup>&#x002A;</sup> </td>
                                <td align="center"> 0.000<sup>&#x002A;</sup> </td>
                                <td align="center"> 0.000<sup>&#x002A;</sup> </td>
                                <td align="center">   </td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <fn id="T5FN1">
                            <p>Note: aOne-Way ANOVA; bPaired t-test; *Significant (<italic>p</italic> &#x3C;0.05).</p>
                        </fn>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec>
                <title>SOD Activity</title>
                <p>Table <xref ref-type="table" rid="T6">6</xref> shows the changes in the SOD activity of the experimental groups. Administration of kefir-spirulina in groups P1 and P2 significantly increased SOD levels (<italic>p</italic> &#x003C;0.001). The increase in SOD activity was 48.47 U.mL- 1, 41.86 U.mL<sup>-1</sup>, and 25.86 U.mL<sup>-1</sup> for groups K3, P2, and P1, respectively. There is some background increase (6.39 U.mL<sup>-1</sup>) in the negative control group (K2), while the normal control group (K1) showed a relatively constant SOD activity (<italic>p</italic> &#x003E;0.05). A study by <xref ref-type="bibr" rid="b43">Omayma et al. (2013)</xref> showed that fermented soy could normalize the SOD and glutathione peroxidase (GPx) activities in rat tumor tissue. Kefir has a better ability to donate protons than nonfermented milk. Therefore, kefir can give protection against free radicals and thus increase SOD activity (<xref ref-type="bibr" rid="b40">Niccolai et al., 2019;</xref> <xref ref-type="bibr" rid="b10">Bellikci-Koyu et al., 2019;</xref> <xref ref-type="bibr" rid="b65">Zhang, Wu and Fei, 2016</xref>).</p>
                <table-wrap id="T6" position="float">
                    <label>Table 6</label>
                    <caption>
                        <p>SOD Activity (U.mL<sup>-1</sup>).</p>
                    </caption>
                    <table frame="hsides" rules="none" width="100%">
                        <thead>
                            <tr>
                                <th rowspan="3"> Group </th>
                                <th colspan="3"> Average SOD activity &#x00B1; SD </th>
                                <th rowspan="3">
                                    <italic>p<sup>b</sup></italic>
                                </th>
                            </tr>
                            <tr>
                                <th colspan="3">
                                    <hr/>
                                </th>
                            </tr>
                            <tr>
                                <th> Pre-treatment </th>
                                <th> Post-treatment </th>
                                <th> Delta pre-post </th>
                            </tr>
                            <tr>
                                <th colspan="5">
                                    <hr/>
                                </th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="center"> <bold>K1 (Normal control)</bold> </td>
                                <td align="center"> 84.89 &#x00B1;3.37 </td>
                                <td align="center"> 83.60 &#x00B1;3.87 </td>
                                <td align="center"> -1.29 &#x00B1;1.36 </td>
                                <td align="center"> 0.068 </td>
                            </tr>
                            <tr>
                                <td align="center"> <bold>K2 (Diabetic control)</bold> </td>
                                <td align="center"> 18.61 &#x00B1;2.45 </td>
                                <td align="center"> 25.00 &#x00B1;3.09 </td>
                                <td align="center"> 6.39 &#x00B1;4.99 </td>
                                <td align="center"> 0.026<sup>&#x002A;</sup> </td>
                            </tr>
                            <tr>
                                <td align="center"> <bold>K3 (Diabetic + Pioglitazone)</bold> </td>
                                <td align="center"> 24.48 &#x00B1;4.26 </td>
                                <td align="center"> 72.95 &#x00B1;3.06 </td>
                                <td align="center"> 48.47 &#x00B1;5.63 </td>
                                <td align="center"> 0.000<sup>&#x002A;</sup> </td>
                            </tr>
                            <tr>
                                <td align="center"> <bold>P1 (Diabetic + Kefir with 1% spirulina)</bold> </td>
                                <td align="center"> 25.00 &#x00B1;5.32 </td>
                                <td align="center"> 50.82 &#x00B1;3.74 </td>
                                <td align="center"> 25.81 &#x00B1;5.93 </td>
                                <td align="center"> 0.000<sup>&#x002A;</sup> </td>
                            </tr>
                            <tr>
                                <td align="center"> <bold>P2 (Diabetic + Kefir with 2% spirulina)</bold> </td>
                                <td align="center"> 23.43 &#x00B1;4.07 </td>
                                <td align="center"> 65.30 &#x00B1;4.06 </td>
                                <td align="center"> 41.86 &#x00B1;6.82 </td>
                                <td align="center"> 0.000<sup>&#x002A;</sup> </td>
                            </tr>
                            <tr>
                                <td align="center"> <italic>p<sup>a</sup></italic> </td>
                                <td align="center"> 0.000<sup>&#x002A;</sup> </td>
                                <td align="center"> 0.000<sup>&#x002A;</sup> </td>
                                <td align="center"> 0.000<sup>&#x002A;</sup> </td>
                                <td align="center">   </td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <fn id="T6FN1">
                            <p>Note: aOne-Way ANOVA; bPaired t-test; *Significant (<italic>p</italic> &#x3C;0.05).</p>
                        </fn>
                    </table-wrap-foot>
                </table-wrap>
                <p>Oxidative stress is closely related to various diseases, including diabetes. The body will naturally develop enzymatic and nonenzymatic antioxidant defenses to balance oxidative stress. However, this endogenous protection might fail to prevent the overpopulated free radicals that are generated as the disease progresses. Therefore, exogenous antioxidant-rich foods such as kefir and spirulina are beneficial to back up the role of endogenous antioxidant systems.</p>
            </sec>
        </sec>
        <sec sec-type="conclusion">
            <title>CONCLUSION</title>
            <p>The present study has demonstrated that kefir-spirulina showed high nutrient content, strong antioxidant capacity, relatively low alcohol concentration, and an ability to control glycemic status and SOD activity of a diabetic rat model. Based on the properties exhibited by kefir-spirulina in this study, kefir-spirulina has the potential for use in the dietary approach to the management of diabetes.</p>
        </sec>
    </body>
    <back>
        <ack>
            <title>Acknowledgments:</title>
            <p>The authors thank Gemala Anjani, SP, M.Si, Ph.D., and Dr. Muflihatul Muniroh, M.Si., Med., MD at the Faculty of Medicine, Diponegoro University, for their valuable input. This research was supported by a grant from BKPPD and a regional public hospital of Cirebon West Java, Indonesia.</p>
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