{"id":50923,"date":"2023-09-30T11:06:10","date_gmt":"2023-09-30T11:06:10","guid":{"rendered":"https:\/\/biomedpharmajournal.org\/?p=50923"},"modified":"2024-12-09T08:29:27","modified_gmt":"2024-12-09T08:29:27","slug":"evaluation-of-antioxidant-activity-of-secang-wood-caesalpinia-sappan-l-water-extract-in-wistar-rats","status":"publish","type":"post","link":"https:\/\/biomedpharmajournal.org\/staging\/vol16no3\/evaluation-of-antioxidant-activity-of-secang-wood-caesalpinia-sappan-l-water-extract-in-wistar-rats\/","title":{"rendered":"Evaluation of Antioxidant Activity of  Secang Wood (Caesalpinia Sappan L) Water Extract in Wistar Rats"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><strong>Introduction<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Free radicals are unstable and very reactive atoms or molecules because there are unpaired electrons that makes this radicals can take electrons from other molecules <sup>1,2<\/sup>.&nbsp; High levels of free radicals in the body caused by maximum physical activity that can increase the metabolism to form superoxide radicals (O<sub>2<\/sub>\u2022) <sup>3<\/sup>. Free radicals in the body can be detected by the presence of Malondialdehyde (MDA). Malondialdehyde is formed from the peroxidation reaction of unsaturated fats, namely the breaking of the fatty acid chains that make up the phospholipid cell membrane by free radicals <sup>4,5<\/sup>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Antioxidant compounds are able to neutralize free radicals by completing the electron deficiency <sup>6<\/sup>. The human body produces endogenous antioxidants, one of them is Superoxide Dismutase (SOD) which can catalyze the reduction of O<sub>2<\/sub>\u2022 radicals to form H<sub>2<\/sub>O<sub>2<\/sub> and O<sub>2<\/sub> <sup>7<\/sup>. High levels of free radicals in the body cause endogenous antioxidants to be unable to neutralize these free radicals, which is called oxidative stress. This situation can be overcome by the presence of exogenous antioxidants to help the counteract process of free radicals. One of the active plants as a source of exogenous antioxidants is Secang wood (<em>Caesalpinia sappan<\/em> L.). The Secang wood is traditionally used to make an herbal drink by brewing it with hot water that is believed to have a good effect on the body&#8217;s health. A major specific active compound of Secang wood is brazilin, which can easily oxidize into brazilein in red color <sup>8<\/sup>. Brazilin is a homo isoflavonoid compound known to has various bioactivity including antioxidant, antibacterial, anti-inflammatory, anti-photoaging, hypoglycemic (lowering fat levels), hepatoprotective (protecting the liver), and anti-acne<sup>9<\/sup>.&nbsp; <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Tests for the antioxidant activity of Secang wood have been mainly done in ethanol extract. But, many people still consume Secang wood by brewing it in hot water, so it is necessary to evaluate the antioxidant activity of Secang wood in aqueous extract. In this study, the antioxidant activity of Secang wood aqueous extract was tested by using FRAP (Ferric Reducing Antioxidant Power) because it is cheap, simple, fast, and can be used in water solvents. This method is based on the ability of an antioxidant compound to reduce Fe<sup>3+<\/sup> to Fe<sup>2+<\/sup> ions into Prussian blue <sup>10<\/sup>. Further evaluation was carried out with pre-clinical trials, such as in vivo. The test animals used in this study is rats because it has similar characteristics to human in physiology, anatomy, nutrition, pathology, and metabolism. Rats that are given maximum physical activity will increase the levels of free radicals, especially superoxide radicals (O<sub>2<\/sub>\u2022), that can damage body tissues, such as the liver and heart. Maximum physical activity causes an increase the work of sympathetic nerves in heart tissue, resulting the increase in heart rate, heart contractions, and blood pressure, thus can increase the free radical levels in heart tissue <sup>11<\/sup>. Liver tissue has microsomal membranes that are very susceptible to lipid peroxidation because it contains a lot of unsaturated fatty acids. The higher the levels of lipid peroxidation, the higher the levels of free radicals in liver tissue <sup>12<\/sup>. Based on the description above, it is necessary to do research on the antioxidant activity test of Secang wood in water extract, conducted in vitro by determining its antioxidant capacity using the FRAP method and in vivo by measuring levels of&nbsp; MDA and SOD in the liver and heart tissue of Wistar rats, also the identification of their active compounds.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Materials\nand Methods<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This study uses a descriptive exploratory and\nexperimental design. This research was conducted from November 2021 to May\n2022.<strong> <\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Materials<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The materials used\ninclude Secang wood (<em>Caesalpinia sappan<\/em>\nL.) distilled water, n-hexane, chloroform, ethyl acetate, K\u2083[Fe(CN)\u2086] 0.2 M\nphosphate buffer pH 6.6, FeCl<sub>3<\/sub>, trichloroacetic (TCA), ascorbic\nacid, ethanol, vitamin E, Superoxide Dismutase Kit, thiobarbituric acid (TBA),\nphosphate-buffered saline (PBS), water-soluble tetrazolium (WST), 0.1 M\nTris-HCl pH 7.4.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Methods<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Sample Preparation<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The\nSecang wood samples were sorted and washed under running water. Samples were\nchopped and then air-dried for 7 days. The dried samples were crushed with a\nchopper to become simplicia powder.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Extraction and partitioning of Secang wood<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">1\nkg of simplicia powder was macerated with distilled water (50<sup>o<\/sup>C &#8211; 60<sup>o<\/sup>C)\nfor 24 hours. The filtrate was concentrated with a vacuum rotary evaporator\nuntil crude extract was obtained. The crude extract was partitioned with\nn-hexane, chloroform and ethyl acetate to obtain the n-hexane, chloroform,\nethyl acetate, and water fraction.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Ferric reducing antioxidant power (FRAP) assay<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The FRAP method is used to determine antioxidant activity based on the ability of a compound to reduce Fe<sup>3+<\/sup> ions to Fe<sup>2+<\/sup> ions by providing one electron (single electron transfer). The FRAP assay was performed based on the methods of Benzie in Rabeta <sup>13<\/sup> with slight modification. An amount of 2 ml of sample, followed by 2 ml of 0.2 M phosphate buffer (pH 6.6) and 2 ml of K<sub>3<\/sub>[Fe(CN)<sub>6<\/sub>] 1%, then vortex and incubate for 20 minutes at 50\u00b0C. The mixture was then added to 2 mL of a 10% TCA solution, and then centrifuged for 10 minutes at 3000 rpm. Pipette 2 mL of the supernatant, followed by 2 mL of aqua DM and 0.4 mL of 0.1% FeCl<sub>3<\/sub>. A UV-visible spectrophotometer was used to measure the absorbance. Series of ascorbic acid stock solution 0,5,10,15,20,25 ppm (r<sup>2<\/sup>=0.9953) acted as standard curve. The antioxidant capacity is expressed as the equivalent weight of the sample per mg of ascorbic acid (mg AAE\/g)<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Phytochemical\nTest<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Phytochemical\ntests were carried out on extracts with the highest antioxidant capacity\nincluding phenol, flavonoid, alkaloid, steroid, terpenoids, and saponin tests.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Identification of Active Compounds through Liquid Chromatography-Mass\nSpectrometer (LC- MS\/MS)<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Water\nextract of Secang wood which has the highest antioxidant capacity was analyzed\nby LC-MS\/MS XEVO G2-S QTOF. All Mass Spectrometry spectra were analyzed using\nMasslynx v4.1 software. The chromatogram at each retention time was obtained,\nand then the molecular formula at each retention time was checked for its\nstructure in the ChemSpider database (www.chemspider.com).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>In Vivo Antioxidant Activity Test<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The test animals using\nWistar rats were divided into 4 treatment groups, each containing 6 rats. The\nincrease in free radical levels was carried out by giving maximum physical\nactivity, such as swimming until almost drowning (120 minutes\/day). Group P0\n(control 0) was not given any treatment, group P1 (negative control) was\nswimming, group P2 (positive control) was given vitamin E at a dose of 50 mg\/kg\nBW and swimming, and group P3 (test group) was given Secang wood water extract\nat a dose of 50 mg\/kg BW and swimming. The Intervention was carried out for 5\ndays. After that, they were taken as samples and dissected to obtain their heart\nand liver tissues. The Colorimetric method with Superoxide Dismutase Kit\n(BioVision, K335-100) was used for the determination of SOD activity in rat\nheart and liver tissue, and the TBARS technique was used to evaluate MDA\nlevels. All test animals\nused have received ethical clearance from Animal Ethics Commitees the &nbsp;Faculty of Veterinary Medicine, Udayana\nUniversity No. B\/16\/UN14.2.9\/PT.01.04\/2022<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Statistical\nAnalysis<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Statistical analysis for\nall in vivo test data was analyzed using the Statistical Package for the Social\nSciences (SPSS) application version 23.0. The method used was an analysis of\nvariance (ANOVA) in the form of one-way ANOVA. Differences in MDA levels and\nSOD activity in heart and liver tissues in each group were further analyzed\nusing the Least Significance Difference (LSD).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Results\nand Discussion<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Results<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Extraction\nand Partition<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The\nSecang wood obtained through maceration was obtained around 54.32 grams of\ncrude water extract in dark red. From the partition of 30 grams of aqueous\nextract, it was obtained 12.40 grams of dark red in ethyl fraction, while 15.74\ngrams of a reddish-brown in water fraction was obtained.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Ferric reducing antioxidant power (FRAP) assay<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A linear regression equation, y = 0.0297x &#8211; 0.0138, was developed based on the calibration curve of the ascorbic acid standard solution. The antioxidant capacity of extract and fraction from the result of the partitioning of Secang wood was calculated using the linear regression equation, and the antioxidant capacity is expressed as the equivalent weight of the sample per mg of ascorbic acid. The results are displayed in Table 1.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Table 1: Antioxidant Capacity of Secang Wood Water Extract<\/strong><\/p>\n\n\n<table style=\"width: 95%;\" border=\"1\" cellspacing=\"0\" cellpadding=\"4\">\n<tbody>\n<tr>\n<td width=\"353\">\n<p style=\"text-align: center;\"><strong>Sample<\/strong><\/p>\n<\/td>\n<td width=\"405\">\n<p style=\"text-align: center;\"><strong>Antioxidant capacity<\/strong><\/p>\n<p style=\"text-align: center;\"><strong>(mg AAE\/g sample)<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"353\">\n<p style=\"text-align: center;\">Water extract<\/p>\n<\/td>\n<td width=\"405\">\n<p style=\"text-align: center;\">393.7374<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"353\">\n<p style=\"text-align: center;\">Ethyl acetate fraction<\/p>\n<\/td>\n<td width=\"405\">\n<p style=\"text-align: center;\">347.3401<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"353\">\n<p style=\"text-align: center;\">water fraction<\/p>\n<\/td>\n<td width=\"405\">\n<p style=\"text-align: center;\">214.2761<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n<p class=\"wp-block-paragraph\"><strong>Phytochemical Test Results<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The\nphytochemical test was carried out on the aqueous extract of Secang wood which\nhad the highest antioxidant activity. The aqueous extract of Secang wood\ncontains bioactive compounds, such as phenols, flavonoids, and saponins as\nshown in Table 2.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Table 2: Phytochemical Test of Secang Wood Water Extract<\/strong><\/p>\n\n\n<table style=\"width: 95%;\" border=\"1\" cellspacing=\"0\" cellpadding=\"4\">\n<tbody>\n<tr>\n<td width=\"181\">\n<p style=\"text-align: center;\"><strong>Phytochemical Test<\/strong><\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"200\">\n<p><strong>Reagent<\/strong><\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"181\">\n<p><strong>Colour Change<\/strong><\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"194\">\n<p><strong>Result<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"181\">\n<p>Phenol<\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"200\">\n<p>FeCl<sub>3<\/sub><\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"181\">\n<p>Blackish blue<\/p>\n<\/td>\n<td width=\"194\">\n<p style=\"text-align: center;\">Positive Phenol<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"181\">\n<p style=\"text-align: center;\">Flavonoids<\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"200\">\n<p>Wilsatter<\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"181\">\n<p>Brick red<\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"194\">\n<p>Positive Flavonoid<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"181\">\n<p>Alkaloids<\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"200\">\n<p>Mayer<\/p>\n<p>Wagner<\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"181\">\n<p>None<\/p>\n<p>None<\/p>\n<\/td>\n<td width=\"194\">\n<p style=\"text-align: center;\">None- Alkaloids<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"181\">\n<p style=\"text-align: center;\">Steroids<\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"200\">\n<p>Liebermann-Buchard<\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"181\">\n<p>None<\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"194\">\n<p>None- Steroids<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"181\">\n<p>Terpenoids<\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"200\">\n<p>Liebermann-Buchard<\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"181\">\n<p>None<\/p>\n<\/td>\n<td width=\"194\">\n<p style=\"text-align: center;\">None- terpenoids<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"181\">\n<p style=\"text-align: center;\">Saponins<\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"200\">\n<p>Aquades-HCl (shaken)<\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"181\">\n<p>Stable foam is formed<\/p>\n<\/td>\n<td width=\"194\">\n<p style=\"text-align: center;\">Positive Saponins<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n<p class=\"wp-block-paragraph\"><strong>LC MS\/MS results of Active Compounds of secang wood\nwater extract<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Identification\nof aqueous extract of Secang wood using LC-MS\/MS spectrometry was carried out\nto determine the chromatographic and fragmentation patterns of each compound. Identification of the chromatogram and fragmentation\nof LC-MS\/MS for aqueous extract of Secang wood shown in Table 3.<\/p>\n\n\n<table style=\"width: 70%;\" border=\"1\" cellpadding=\"5\">\n<tbody>\n<tr>\n<td><img decoding=\"async\" class=\"alignnone size-thumbnail wp-image-51087\" src=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2023\/08\/Vol16No3_Eva_Ida_tab1-150x150.jpg\" alt=\"\" width=\"150\" height=\"150\" srcset=\"https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2023\/08\/Vol16No3_Eva_Ida_tab1-150x150.jpg 150w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2023\/08\/Vol16No3_Eva_Ida_tab1-256x256.jpg 256w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2023\/08\/Vol16No3_Eva_Ida_tab1.jpg 932w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/><\/td>\n<td>\n<p><strong>Table 3: Results of LCMS\/MS analysis and suspected compounds<\/strong><\/p>\n<p><\/p>\n<p><a href=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2023\/08\/Vol16No3_Eva_Ida_tab1.jpg\" target=\"_blank\" rel=\"noopener noreferrer\">Click here to view Table<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n<p class=\"wp-block-paragraph\"><strong>In Vivo\nAntioxidant Activity Test Results<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In Vivo test was\nconducted using the Randomize Posttest only control group design. The data\nobtained was analyzed statistically with IBM SPSS software version 23.0. &nbsp;The results of the statistical analysis of the\naverage variable, the variance homogeneity of each variable and normal\ndistribution of each group in rat heart and liver tissue are shown in Table 4.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Table 4: Average, normality and homogeneity of variants<\/strong><\/p>\n\n\n<table style=\"width: 95%;\" border=\"1\" cellspacing=\"0\" cellpadding=\"4\">\n<tbody>\n<tr>\n<td width=\"182\">\u00a0<\/td>\n<td width=\"96\">\n<p style=\"text-align: center;\"><strong>Group\u00a0 P<sub>0<\/sub><\/strong><\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"120\">\n<p><strong>Group\u00a0 P<sub>1<\/sub><\/strong><\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"120\">\n<p><strong>Group P<sub>2<\/sub><\/strong><\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"120\">\n<p><strong>Group P<sub>3<\/sub><\/strong><\/p>\n<\/td>\n<td width=\"120\">\n<p style=\"text-align: center;\"><strong>(p*)<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"182\">\n<p style=\"text-align: center;\">SOD (%) liver tissue<\/p>\n<p style=\"text-align: center;\">(p**)<\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"96\">\n<p>84.34 \u00b1 3.91<\/p>\n<p>0.945<\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"120\">\n<p>84.34 \u00b1 3.91<\/p>\n<p>0.313<\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"120\">\n<p>64.14 \u00b1 4.46<\/p>\n<p>0.805<\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"120\">\n<p>49.46 \u00b1 3.91<\/p>\n<p>0.946<\/p>\n<\/td>\n<td width=\"120\">\n<p style=\"text-align: center;\">0.509<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"182\">\n<p style=\"text-align: center;\">MDA (nmol\/g) liver tissue<\/p>\n<p style=\"text-align: center;\">(p**)<\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"96\">\n<p>2.10 \u00b1 0.16<\/p>\n<p>0.771<\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"120\">\n<p>10.14 \u00b1 0.19<\/p>\n<p>0.836<\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"120\">\n<p>4.02 \u00b1 0.32<\/p>\n<p>0.821<\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"120\">\n<p>5.01 \u00b1 0.20<\/p>\n<p>0.991<\/p>\n<\/td>\n<td width=\"120\">\n<p style=\"text-align: center;\">0.424<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"182\">\n<p style=\"text-align: center;\">SOD (%) heart tissue<\/p>\n<p style=\"text-align: center;\">\u00a0<\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"96\">\n<p>78.78 \u00b1 3.94<\/p>\n<p>0.824<\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"120\">\n<p>30.05 \u00b1 4.93<\/p>\n<p>0.406<\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"120\">\n<p>58.01 \u00b1 3.27<\/p>\n<p>0.963<\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"120\">\n<p>46.97 \u00b1 3.95<\/p>\n<p>0.818<\/p>\n<\/td>\n<td width=\"120\">\n<p style=\"text-align: center;\">0.751<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"182\">\n<p style=\"text-align: center;\">MDA (nmol\/g) heart tissue<\/p>\n<p style=\"text-align: center;\">(p**)<\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"96\">\n<p>2,28 \u00b1 0.17<\/p>\n<p>0.560<\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"120\">\n<p>11.35 \u00b1 0.26<\/p>\n<p>0.735<\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"120\">\n<p>5.29 \u00b1 0.34<\/p>\n<p>0.846<\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"120\">\n<p>6.15 \u00b1 0.20<\/p>\n<p>0.989<\/p>\n<\/td>\n<td width=\"120\">\n<p style=\"text-align: center;\">0.726<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n<p class=\"wp-block-paragraph\">P<sub>0<\/sub>&nbsp;&nbsp;&nbsp; =\nControl <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">P<sub>1<\/sub>&nbsp;&nbsp;&nbsp; = Negative control<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">P<sub>2<\/sub>&nbsp;&nbsp;&nbsp; = Positive control<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">P<sub>3<\/sub>&nbsp;&nbsp;&nbsp; = Treatment Group<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">P*&nbsp;&nbsp;&nbsp; = homogeneity\ndata (p&gt;0.05)<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">P** = normality data (p&gt;0.05)<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The p-value of the average SOD\nactivity and MDA levels was 0.0001 which indicates that the four treatments statistically showed a significant difference (p&lt;0.05).\nThe results of further analysis using the Least Significance Difference (LSD)\nmethod on SOD activity and MDA levels are presented in Table 5 and Table 6.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>&nbsp;Table 5<em>: <\/em>LSD analysis of SOD activity and MDA levels &nbsp;in liver &nbsp;tissue<\/strong>.<\/p>\n\n\n<table style=\"width: 95%;\" border=\"1\" cellspacing=\"0\" cellpadding=\"4\">\n<tbody>\n<tr>\n<td width=\"170\">\n<p style=\"text-align: center;\"><strong>Treatment Group<\/strong><\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"252\">\n<p><strong>Average of SOD activity (%)<\/strong><\/p>\n<p><strong>\u00b1 SD<\/strong><\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"148\">\n<p><strong>Treatment Group<\/strong><\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"183\">\n<p><strong>Average of MDA levels<\/strong><\/p>\n<p><strong>\u00b1 SD<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"170\">\n<p style=\"text-align: center;\">P<sub>0<\/sub><\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"252\">\n<p>84.34 \u00b1 3.91 <sup>b,c,d<\/sup><\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"148\">\n<p>P<sub>0<\/sub><\/p>\n<\/td>\n<td width=\"183\">\n<p style=\"text-align: center;\">2.10 \u00b1 0.16 <sup>b,c,d<\/sup><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"170\">\n<p style=\"text-align: center;\">P<sub>1<\/sub><\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"252\">\n<p>31.81 \u00b1 5.16 <sup>a,c,d<\/sup><\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"148\">\n<p>P<sub>1<\/sub><\/p>\n<\/td>\n<td width=\"183\">\n<p style=\"text-align: center;\">10.14 \u00b1 0.19 <sup>a,c,d<\/sup><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"170\">\n<p style=\"text-align: center;\">P<sub>2<\/sub><\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"252\">\n<p>64.14 \u00b1 4.46 <sup>a,b,d<\/sup><\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"148\">\n<p>P<sub>2<\/sub><\/p>\n<\/td>\n<td width=\"183\">\n<p style=\"text-align: center;\">4.02 \u00b1 0.32 <sup>a,b,d<\/sup><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"170\">\n<p>P<sub>3<\/sub><\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"252\">\n<p>49.46 \u00b1 3.91 <sup>a,b,c<\/sup><\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"148\">\n<p>P<sub>3<\/sub><\/p>\n<\/td>\n<td width=\"183\">\n<p style=\"text-align: center;\">5.01 \u00b1 0.20 <sup>a,b,c<\/sup><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n<p class=\"wp-block-paragraph\"><strong>&nbsp;Table 6: LSD analysis of SOD Activity and&nbsp; MDA levels in&nbsp; heart tissue <\/strong><\/p>\n\n\n<table style=\"width: 95%;\" border=\"1\" cellspacing=\"0\" cellpadding=\"4\">\n<tbody>\n<tr>\n<td width=\"166\">\n<p style=\"text-align: center;\"><strong>Treatment Group<\/strong><\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"219\">\n<p><strong>Average of SOD activity (%)<\/strong><\/p>\n<p><strong>\u00b1 SD<\/strong><\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"147\">\n<p><strong>Treatment Group<\/strong><\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"231\">\n<p><strong>Average of MDA levels<\/strong><\/p>\n<p><strong>\u00b1 SD<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"166\">\n<p>P<sub>0<\/sub><\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"219\">\n<p>78.78 \u00b1 3.94 <sup>b,c,d<\/sup><\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"147\">\n<p>P<sub>0<\/sub><\/p>\n<\/td>\n<td width=\"231\">\n<p style=\"text-align: center;\">2.28 \u00b1 0.17 <sup>b,c,d<\/sup><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"166\">\n<p style=\"text-align: center;\">P<sub>1<\/sub><\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"219\">\n<p>30.05 \u00b1 4.93 <sup>a,c,d<\/sup><\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"147\">\n<p>P<sub>1<\/sub><\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"231\">\n<p>11.35 \u00b1 0.26 <sup>a,c,d<\/sup><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"166\">\n<p>P<sub>2<\/sub><\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"219\">\n<p>58.08 \u00b1 3.27 <sup>a,b,d<\/sup><\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"147\">\n<p>P<sub>2<\/sub><\/p>\n<\/td>\n<td width=\"231\">\n<p style=\"text-align: center;\">5.29 \u00b1 0.34 <sup>a,b,d<\/sup><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"166\">\n<p style=\"text-align: center;\">P<sub>3<\/sub><\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"219\">\n<p>46.97 \u00b1 3.95 <sup>a,b,c<\/sup><\/p>\n<\/td>\n<td style=\"text-align: center;\" width=\"147\">\n<p>P<sub>3<\/sub><\/p>\n<\/td>\n<td width=\"231\">\n<p style=\"text-align: center;\">6.15 \u00b1 0.20 <sup>a,b,c<\/sup><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n<p class=\"wp-block-paragraph\">Information<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">SD &nbsp;= standard deviation;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">a = There is a significant difference\nwith the control group 0 (P0) (p &lt;0.05)<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">b = There is a significant difference\nwith the negative control group (P1) (p&lt;0.05)<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">c = There is a significant difference\nwith the positive control group (P2) (p&lt;0.05)<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">d = There is a significant difference\nwith the test group (P3) (p&lt;0.05)<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Discussion<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Water extract of Secang wood has the highest antioxidant capacity, obtained 393.7374 mg AAE\/g sample. This is because the antioxidant compounds contained in the water extract of Secang wood are synergistic, so they have a higher antioxidant capacity compared to the partition results from the water extract of Secang wood. Secang wood contains water-soluble flavonoids, namely brazilin, which is the dominant flavonoid compound contained in Secang wood <sup>14<\/sup>. Brazilin was isolated from Secang wood which is known to have antioxidant activity higher than commercial antioxidants (BHT and BHA), so it is more potential as a free radical barrier <sup>14,15<\/sup>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Water extract of Secang wood contains bioactive compounds such as phenolic, flavonoid, and saponin groups (Table 2). Flavonoids and phenols have a hydroxyl group (-OH) attached to benzene, that can donate its hydrogen atom to free radicals <sup>4<\/sup>. The ethanol extract of Secang wood contains phenolic compounds and flavonoid compounds which have antioxidant activity <sup>16<\/sup>. The eight compounds contained in the aqueous extract of Secang wood have antioxidant activity because of the similarity of those structures with phenol and flavonoid groups.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The dominant compounds found were brazilin and brazilein which were also the dominant compounds contained in Secang wood. Brazilin is a flavonoid compound that structurally belongs to the iso-flavonoid group which has antioxidant activity <sup>14,15,17<\/sup>. Brazilin can be an antioxidant because it has a catechol group, that can donate electrons to free radicals. In addition, the protosappanin compound is also a typical compound contained in the Secang wood which belongs to the class of phenolic compounds. Similar to brazilin, the protosappanin compound also has catechol groups that can donate electrons and neutralize free radicals. The glycoside quercetin compounds and chalcone compounds found are also a class of flavonoids that have a phenol group. Flavonoids can neutralize free radicals by donating hydrogen atoms so that they can neutralize the effects of free radicals and can act as chelate metals that play a role in the formation of ROS <sup>4<\/sup>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Maximum physical activity can trigger an increase in metabolism and oxygen consumption which increases up to 100-200 times to meet the energy required during physical activity. The increase in the amount of energy produced is proportional to the amount of ROS produced <sup>18<\/sup>. When physical activity is excessive, oxygen is pumped to the muscles more, so other organs experienced hypoxia. The increased oxygen will trigger the conversion of ATP to ADP and AMP. Furthermore, AMP will be converted into hypoxanthine. The xanthine oxidase will break down hypoxanthine to form uric acid and xanthine. This process uses oxygen as an electron acceptor to form the radical \u2022O<sub>2<\/sub><sup>&#8211;<\/sup>. In addition, the increased oxygen causes an increase in electron leakage during electron transfer in mitochondria which will become superoxide anions <sup>18,19,20<\/sup>. &nbsp;Superoxide radicals (\u2022O<sub>2<\/sub><sup>&#8211;<\/sup>) causes lipid peroxidation in breaking fatty acid chains to produce MDA through oxidation by free radicals. The \u2022O<sub>2<\/sub><sup>&#8211; <\/sup>radicals can be neutralized by an endogenous antioxidant, such as SOD, by catalyzing the reduction reaction of the O<sub>2<\/sub>\u2022 radical to produce H<sub>2<\/sub>O<sub>2<\/sub> and O<sub>2<\/sub> <sup>5,8<\/sup>. A comparison of MDA levels and SOD activity between groups are shown in Table 4.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The influence on each treatment group was examined using the average SOD activity and MDA levels across groups. The average SOD activity and MDA levels had a p-value in the one-way ANOVA test of 0.0001. This value showed that there was a statistically significant difference between the four treatments given to the rat (p&lt;0.05). In both rat heart and liver tissue, the P0 group exhibited the lowest MDA concentrations and the highest SOD activity. This was because the P<sub>0<\/sub> group (control 0) was not given maximum physical activity, such as swimming which caused the formation of free radicals to be very low, so the lipid peroxidation produced by MDA was lower. The P<sub>1<\/sub> group (negative control) had the highest MDA levels and most insufficient SOD activity, because the P<sub>1<\/sub> group was given maximum physical activity, so the formation of free radicals in the P<sub>1<\/sub> group was high. Free radicals that are formed will cause lipid peroxidation reactions to produce Malondialdehyde (MDA). Cell membranes of body tissues are composed of lipids in the form of unsaturated fatty acids (LH). The peroxidation begins with the reaction between fatty acids (LH) and free radicals (oxidants) to form carbon radicals (L\u2022) in the form of free fats (initiation). The free fat then reacts with oxygen to form peroxyl radicals (LOO\u2022) which reacted again with other unsaturated fatty acids (LH) to form lipid hydro peroxides (LOOH) which are cytotoxic and free fatty acids (L\u2022) which cause a chain reaction (propagation). This chain reaction ends when the radicals formed (at the initiation stage or at the propagation stage) react again with other radicals to become non-radical products (termination stage). At termination stage, it will produce endoperoxide which will further decompose into MDA <sup>5,21,22,23<\/sup>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The P<sub>2<\/sub> group had lower MDA levels in heart and liver tissue and had higher SOD activity in rat heart and liver tissue than the P<sub>1<\/sub> group. Giving vitamin E to the P<sub>2<\/sub> group can neutralize free radicals that are formed as a result of the given maximum physical activity <sup>24<\/sup>. By scavenging superoxide radical anion and lipid peroxyl free radicals, alpha-tocopherol prevents against lipid peroxidation in cell membranes <sup>25<\/sup>. In its mechanism, vitamin E (\u03b1-tocopherol) reduces free radicals by donating their hydrogen atoms, where vitamin E reduced into tocopheryl radicals and becomes tocopheryl quinone <sup>25,26<\/sup>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The P<sub>3<\/sub> group had lower levels of MDA in heart and liver tissue and had higher SOD activity in rat heart and liver tissue than the P<sub>1<\/sub> group. This is because the intake of Secang wood extract can neutralize free radicals that are formed as a result of giving maximum physical activity, so it can reduce the formation of MDA and can increase SOD activity in the heart and liver tissues of rats. The decrease in MDA levels and the increase in SOD activity were caused by the presence of compounds contained in the water extract of Secang wood which has antioxidant activity. The compounds contained in the aqueous extract of Secang wood which is thought to act as antioxidants are phenolic compounds and flavonoids according to the results of the phytochemical tests obtained. Phenol compounds can donate their hydrogen atoms to free radicals, so that the lipid peroxidation reaction that produces MDA becomes lower. Likewise, flavonoid compounds that have -OH groups can also neutralize free radicals by donating their hydrogen atoms, as well as chelating metals which contribute to the production of ROS. <sup>4,27<\/sup>. Flavonoids can also activate the nuclear factor erythroid-2 related factor 2 (Nrf2) which will increase the expression of endogenous antioxidants, that can also increases SOD activity <sup>28<\/sup>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The\nLSD test showed that there were significant differences in MDA levels and SOD\nactivity in rat heart and liver tissues in each treatment group.&nbsp; All treatment groups were significantly\ndifferent. Giving Secang wood extract intake can reduce MDA levels in group P<sub>3<\/sub>\nwith a decrease in MDA levels in heart tissue by 45.81% and in liver tissue by\n50.59% compared to group P<sub>1<\/sub> (negative control). Intake of Secang\nwood extract can also increase superoxide activity in P<sub>3<\/sub> (test\ngroup) with an increased percentage of SOD activity in heart tissue by 56.30%\nand in liver tissue by 55.49% compared to group P1 (negative control).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Conclusion<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Based on the study&#8217;s findings, a water extract from Secang wood has the highest antioxidant activity compared to its other extract. Intake of Secang wood water extract at a dose of 50 mg\/kg BW significantly led to higher SOD activity and lower MDA levels in the liver and heart tissue of Wistar rats that were given maximum physical activity compared to SOD activity and MDA levels in the liver and heart tissue of Wistar rats that were not given Secang wood water extract.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Acknowledgment<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Thanks to the Graduate Program of Chemistry at Udayana University and all parties who have assisted in this research.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Conflict of Interest<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">There is no conflict of interest.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>References<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\"><li>Selawa, W., M. R. J. Runtuwene, dan G. Cit raningtyas . 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