{"id":34782,"date":"2020-09-25T10:48:16","date_gmt":"2020-09-25T10:48:16","guid":{"rendered":"https:\/\/biomedpharmajournal.org\/?p=34782"},"modified":"2021-03-01T06:12:46","modified_gmt":"2021-03-01T06:12:46","slug":"evaluation-of-antinociceptive-effect-of-paracetamol-ketorolac-and-tramadolhydrochloride-in-arthritic-rat-by-pain-induced-functional-impairment-model","status":"publish","type":"post","link":"https:\/\/biomedpharmajournal.org\/staging\/vol13no3\/evaluation-of-antinociceptive-effect-of-paracetamol-ketorolac-and-tramadolhydrochloride-in-arthritic-rat-by-pain-induced-functional-impairment-model\/","title":{"rendered":"Evaluation of Antinociceptive Effect of Paracetamol, Ketorolac and Tramadolhydrochloride in Arthritic Rat by Pain Induced Functional Impairment Model"},"content":{"rendered":"<p><strong>Introduction<\/strong><\/p>\n<p>Pain is a major social, economic and clinical problem. It is witnessed across all ages. The estimates of the monthly prevalence of pain ranges from 1.0% to around 60.0%.<sup>1<\/sup> Cancer, Arthritis (osteo and rheumatoid), Surgery and injuries, and spinal problems are the four top most causes of pain.\u00a0 The etiology of pain is a complex and transdisciplinary affair.<sup>2<\/sup> Pain can be charecterised as a disease in itself, with major cognitive and psychological correlates.<sup>3<\/sup> The prevalence of chronic pain in adults ranges from 2 to around 40%\u00a0 and a median of 15%,with a higher percentage of women being affected with it.<sup>4<\/sup> It poses a major economic concern for both patients and health service providers across all societies. Differences in orientation\u00a0 and study methodology in different countries make the comparison difficult, but it is evident that pain poses a major burden on the health care resources of all the nations.<sup>5<\/sup><\/p>\n<p>In the animal model research methodolgy named \u201cpain-induced functional impairment in the rat\u201d (PIFIR), nociception and antinociception<em> are dealt with <\/em>in a similar way to that in arthritic-type pain . This experimental technique is used to\u00a0 ascertain the <em>efficacy, potency and dura<\/em>tion of the antinociceptive effect of the drug (or combination of drugs) under study. The PIFIR model is an good method to analyze the pharmacokinetic and pharmacodynamic\u00a0 effects in preclinical reserach,<sup>6<\/sup> It has been used for different works, time to time, mentioned below.<\/p>\n<p>PIFIR model helped ascertain that a combination of caffeine and ketoprofen had a more preferable mechanism of action rather than the use of a single drug alone.\u00a0 Similar studies using morphine, metamizole and their synergy have been performed in uric acid induced arthritic rats to study their antinociceptive efficacy with different levels of inflammatory pain.<sup>7<\/sup> The profile of activity of drugs like acetyl salicylic acid, morphine and rofecoxib have also been mapped using this model.<sup>8.9<\/sup> The analgesic activity of natural plant products like Rosemarinus officinalis, Tilia americana and Auguste mexicana have been studied extensively by using this preclinical model.<sup>1 0,11,12<\/sup><\/p>\n<p>In this study, the drugs that have been used are Ketorolac, paracetamol and Tramadolfor evaluating and comparing their efficacy.<\/p>\n<p>In order to exhasutively evaluate the potential efficacy of an analgesic, one must not only analyze its efficacy at a fixed time, but also quantitively evaluated the total duration of the analgesic activity.\u00a0 This could be called\u00a0 the kinetics of the drug concerned.<sup>2 4<\/sup> Hence, this model was chosen for the aforementioned study. This model has not yet been used in India.<\/p>\n<p>So, in the present study,\u00a0 we attempt to evaluate and compare the analgesic efficacy of paracetamol, Ketorolac and Tramadolusing a model of arthritic pain in rats to assess the anti nociceptive efficacy of paracetamol, Ketorolac and Tramadoland to compare the functional index at different durations of the study due to the above drugs.<\/p>\n<p><strong>Materials and Method<\/strong><\/p>\n<p>This study has been conducted at Department of Pharmacology and Therapeutics of Rajendra Institute of Medical Sciences, Ranchi.\u00a0 The study was duly approved to be undertaken from Institutional Animal Ethics Committee(IAEC), RIMS.<\/p>\n<p>Healthy adult male albino rats(n=24),of an average weight of 150-250 gms were chosen for the experiment. We made four groups\u00a0 each group pertaining to a single drug under study . Six rats were assigned to each group . Rats of each group was placed in separate cages. The room temperature was maintained at 25+ &#8211; 2degree centigrade. Light and dark cycle of 12:12 hour was also maintained. Animals were fed on standard laboratory diet which included bread, crushed maize and soyabeans with water ad libitum. Regular cleaning of animal house and disposal of excreta was taken care of. Before starting the experiment, they were left for ten days of acclimatization in the new environment.<\/p>\n<p><strong>The Drugs and Doses Were as Follows<\/strong><\/p>\n<p>Uric acid-5 ml(8mg\/dl) from Uric Acid Kit, Coral Clinical Systems, Phase III-b, Verna Industrial Estate, Salcete, Goa, India. Paracetamol -Inj. Neomol,2 ml(150mg\/ml) from Neon Laboratories Limited, Dhamji Shamji &#8211; Industrial Complex,\u00a0 Mahakali Caves Road, Andheri(E), Mumbai, Maharashtra, India. Ketorolac tromethamine-Inj. Ketorol,1ml(30 mg\/ml),from Dr. Reddy\u2019s, Hyderabad, Telangana, India. Tramadol Hydrochloride \u2013Inj.Tramazac,2 ml(100 mg\/2 ml),from Zydus Cadilla, Ahmedabad, Gujarat, India. All the drugs were procured from the local market.<\/p>\n<p>Animals were divided into four groups, C(Control), P(Paracetamol), K(Ketorolac) and T(Tramadol). Each group contained six animals. They were kept in six cages, each cage containing one animal from each group, to avoid overcrowding in cages. The cages were labelled from A to F. The tails of the rats of different groups were coloured with permanent markers of different colours for their recognition.<\/p>\n<p>Group P rats were given 32% uric acid inj. 0.05ml intraarticular, then inj. paracetamol 0.8 ml was given after 2.5 hours. Group K rats were given 32% uric acid inj. 0.05 ml intraarticular, then inj. Ketorolac 0.01 ml was given after 2.5 hours. Group T rats were given 32% uric acid inj. 0.05 ml intraarticular, then inj. Tramadol0.2 ml was given after 2.5 hours. Group C rats were given 32% uric acid inj. 0.05 ml intraarticular, then inj. of 0.05 ml of normal saline was given after 2.5 hours. The experiment was performed and responses were observed hourly for 4 hours.<\/p>\n<p>Uric acid was given intrarticular with the help of 26 G tuberculin syringe.<\/p>\n<p>All drugs were given intraperitoneally with the help of 26 G tuberculin syringe.<\/p>\n<p>All the rats (150 -250 gms) that were healthy and were active enough, to move and play were taken.\u00a0 Diseased and inactive rat were excluded from the study.<\/p>\n<p>After properly holding the animal, pain was induced with an intra articular injection of 32% uric acid in the right knee joint of the animal. An conducting metal pad was attached to each of the hind paws. The animal was then placed on an aluminium cylinder, 15 cm wide and 30cm in diameter. The cylinder was rotated at 5 rpm, forcing the rat to walk. A training period of 2 mins. before the injection was found appropriate as the rat was able to perform the act well after that. The time of contact between each of the rat\u2019s hind paw and the conducting aluminium cylinder was measured. When the conducting pad placed under the animal\u2019s paw came in contact with the\u00a0 aluminium cylinder,\u00a0 the circuit would complete and a very low voltage current would transmit to the measuring device . The time of that current flow was recorded.\u00a0 The recordings were done while the cylinder rotated for 2 mins at the end of each hour.\u00a0 The analgesis drug under study were administered 2.5 hrs. after the initial injection of the uric acid.\u00a0 The time if injection of the aalgesic aganet was recorded as time zero(t0) for subsequent measurements of it\u2019s analgesic effect. After time zero,\u00a0 the time of contact was measured for 2 mins.\u00a0 After lapse of one hour each for the next 4 hours. All experiments and recordings\u00a0 were done between 10 A.M. and 5 p.m.<\/p>\n<p>The rotary walking surface on which the animals walked was made of hollow aluminium cylinder 15 cm in width and 30 cm in diameter.\u00a0 The aluminium cylinder was covered with a mesh to provide a non-slippery surface to the animals, t. Using this arrangement, one animal was studied at a time. An electrical synchronous AC 220\/240 V AC motor was used\u00a0 to roate the cylinder at a fixed RPM of 5.<\/p>\n<p>The time of contact of each conducting pad in each hind paw with the rotaitng cylinder was recorded. Each conducting pad\u00a0 consisted of a soldering wire that was coiled between the fingers of the hind paw to prevent it from coming out. The other end of the electrode was connected to an Arduino. This code is loaded into the Arduino which allows Arduino to record contact timing of left and right leg with the cylinder for two minutes at a time. Arduino emits the data on serial port at a baud rate of 9600.The data is read on a Window PC over serial port using a program called Putty. This data is saved as CSV file for further analysis.<\/p>\n<table style=\"width: 70%;\" border=\"1\" cellpadding=\"5\">\n<tbody>\n<tr>\n<td><img decoding=\"async\" class=\"alignnone size-thumbnail wp-image-34810\" src=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2020\/09\/Vol13No3_Eva_Kus_Fig1-150x150.jpg\" alt=\"Figure 1: Circuit and Schematic Diagram of Measuring Device\" width=\"150\" height=\"150\" srcset=\"https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2020\/09\/Vol13No3_Eva_Kus_Fig1-150x150.jpg 150w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2020\/09\/Vol13No3_Eva_Kus_Fig1-256x256.jpg 256w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2020\/09\/Vol13No3_Eva_Kus_Fig1.jpg 820w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/><\/td>\n<td><span style=\"font-family: inherit; font-size: inherit;\"><strong>Figure 1: Circuit and Schematic Diagram of Measuring Device<\/strong><\/span><\/p>\n<p><a href=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2020\/09\/Vol13No3_Eva_Kus_Fig1.jpg\" target=\"_blank\"><span style=\"font-family: inherit; font-size: inherit;\">Click here to View Figure<\/span><\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p><strong>Data Analysis<\/strong><\/p>\n<p>The main output of experiment was stated as functionality index (FI). Functionality Index can be defined as the ratio of the\u00a0 total time\u00a0 of\u00a0 contact\u00a0 of\u00a0 the cylinder and the injected\u00a0 leg to the total time of contact of\u00a0 cylinder with the left leg (control), expressed as percentage.<\/p>\n<p>The maximum observed effect\u00a0 was stated in terms of FI and\u00a0 the\u00a0 time \u00a0required\u00a0 to\u00a0 reach\u00a0 this\u00a0 response\u00a0 (t).Thus,\u00a0 with the\u00a0 help\u00a0 of\u00a0 these\u00a0 parameters,\u00a0 we analyze and reflect upon\u00a0 the\u00a0 effectiveness and\u00a0 the\u00a0 rate\u00a0 of\u00a0 onset\u00a0 of\u00a0 the different\u00a0 drugs\u2019\u00a0 action\u00a0 by\u00a0 the intraperitoneal\u00a0 route\u00a0 that\u00a0 has\u00a0 been\u00a0 used\u00a0 here .\u00a0 Furthermore, by following the total duration of the effect, the\u00a0 cumulative analgesic effect during the entire observation period was measured by\u00a0 calculating the area under the curve(AUC).<\/p>\n<p>AUC represents the total analgesic effect during the study duration, including both the maximum response and the total time of activity of the analgesic. So, this parameter was also used to draw the dose response curve. The AUC was calculated by the trapezoidal rule. The maximum AUC that can be attained is 375 units i.e. 100% by this method. So , we also compared the AUCs of different drugs.<\/p>\n<p>The Emax and Tmax were directly obtained from analyzing the FI as against the time curve by doses that produced the maximum AUC of that drug.<\/p>\n<p><strong>Observations<\/strong><\/p>\n<p>FI was approximately 100% at the start of the experiments, since the cumulative time of contact (msec) of both hind legs with the rotary device while ambulation was nearly same. Intra-articular injection of uric acid suspension resulted in a dysfunction of the right leg that was apparent as a gradual reduction of FI. The maximum decrease was observed around\u00a0 2.5 hours in all the animals (reaching a FI of almost zero). Then, the drugs were given, and readings of time of contact of each paw of the animal was obtained at 1, 2, 3 and 4 hours respectively. This data was used to calculate the functional index of each rat at each hour. Then, the median for each FI and the AUC for each drug and control group was calculated. Data analysis was done by Wilcoxon signed rank test for comparison of FI at different time interval for each group while Mann Whitney U test was used for inter-group comparisons. This was followed by Bon Ferroni \u2013 post hoc comparison<\/p>\n<p><strong>Table 1: P value of Functional Index in t2,t3,t4 in comparison to t1;t3 and t4 in comparison to t2 and t4 in comparison to t3 in paracetamol. (where n in t<sub>n is<\/sub> variable 2 to 4 according to the comparisons made)<\/strong><\/p>\n<table style=\"width: 95%;\" border=\"1\" cellspacing=\"0\" cellpadding=\"4\">\n<tbody>\n<tr>\n<td style=\"text-align: center;\" width=\"129\"><strong>P value(t1,tn)<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"15\">0<\/td>\n<td style=\"text-align: center;\" width=\"113\">.0319<\/td>\n<td style=\"text-align: center;\" width=\"15\">0<\/td>\n<td style=\"text-align: center;\" width=\"113\">.0002<\/td>\n<td style=\"text-align: center;\" width=\"15\">0<\/td>\n<td style=\"text-align: center;\" width=\"113\">.0001<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"129\"><strong>(t1,tn)<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"15\">0<\/td>\n<td style=\"text-align: center;\" width=\"113\">.027708<\/td>\n<td style=\"text-align: center;\" width=\"15\">0<\/td>\n<td style=\"text-align: center;\" width=\"113\">.027708<\/td>\n<td style=\"text-align: center;\" width=\"15\">0<\/td>\n<td style=\"text-align: center;\" width=\"113\">.027708<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"129\"><strong>(t2,tn)<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"15\"><strong>\u00a0<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"113\"><\/td>\n<td style=\"text-align: center;\" width=\"15\">0<\/td>\n<td style=\"text-align: center;\" width=\"113\">.027708<\/td>\n<td style=\"text-align: center;\" width=\"15\">0<\/td>\n<td style=\"text-align: center;\" width=\"113\">.027708<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"129\"><strong>(t3,tn)<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"15\"><strong>\u00a0<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"113\"><\/td>\n<td style=\"text-align: center;\" width=\"15\"><\/td>\n<td style=\"text-align: center;\" width=\"113\"><\/td>\n<td style=\"text-align: center;\" width=\"15\">0<\/td>\n<td style=\"text-align: center;\" width=\"113\">.027708<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p><strong>Table 2: P value of Functional Index\u00a0 in t2,t3,t4 in comparison to t1;t3 and t4 in comparison to t2 and t4 in comparison to t3 in Ketorolac (where n in t<sub>n is<\/sub> variable 2 to 4 according to the comparisons made)<\/strong><\/p>\n<table style=\"width: 95%;\" border=\"1\" cellspacing=\"0\" cellpadding=\"4\">\n<tbody>\n<tr>\n<td style=\"text-align: center;\" width=\"161\"><strong>P value(t1,t<sub>n<\/sub>)<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"15\">0<\/td>\n<td style=\"text-align: center;\" width=\"145\">.0271<\/td>\n<td style=\"text-align: center;\" width=\"15\">0<\/td>\n<td style=\"text-align: center;\" width=\"145\">.0001<\/td>\n<td style=\"text-align: center;\" width=\"15\">0<\/td>\n<td style=\"text-align: center;\" width=\"145\">.0001<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"161\"><strong>(t1,t<sub>n<\/sub>)<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"15\">0<\/td>\n<td style=\"text-align: center;\" width=\"145\">.027708<\/td>\n<td style=\"text-align: center;\" width=\"15\">0<\/td>\n<td style=\"text-align: center;\" width=\"145\">.027708<\/td>\n<td style=\"text-align: center;\" width=\"15\">0<\/td>\n<td style=\"text-align: center;\" width=\"145\">.027708<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"161\"><strong>(t2,t<sub>n<\/sub>)<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"15\"><\/td>\n<td style=\"text-align: center;\" width=\"145\"><\/td>\n<td style=\"text-align: center;\" width=\"15\">0<\/td>\n<td style=\"text-align: center;\" width=\"145\">.027708<\/td>\n<td style=\"text-align: center;\" width=\"15\">0<\/td>\n<td style=\"text-align: center;\" width=\"145\">.027708<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"161\"><strong>(t3,t<sub>n<\/sub>)<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"15\"><\/td>\n<td style=\"text-align: center;\" width=\"145\"><\/td>\n<td style=\"text-align: center;\" width=\"15\"><\/td>\n<td style=\"text-align: center;\" width=\"145\"><\/td>\n<td style=\"text-align: center;\" width=\"15\">0<\/td>\n<td style=\"text-align: center;\" width=\"145\">.027708<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p><strong>Table 3: P value of Functional Index in t2,t3,t4 in comparison to t1;t3 and t4 in comparison to t2 and t4 in comparison to t3 in Tramadol<\/strong><\/p>\n<table style=\"width: 95%;\" border=\"1\" cellspacing=\"0\" cellpadding=\"4\">\n<tbody>\n<tr>\n<td style=\"text-align: center;\" width=\"164\"><strong>P value(t1,tn)<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"164\">0.0001<\/td>\n<td style=\"text-align: center;\" width=\"164\">0.0001<\/td>\n<td style=\"text-align: center;\" width=\"164\">0.0001<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"164\"><strong>(t1,tn)<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"164\">0.027708<\/td>\n<td style=\"text-align: center;\" width=\"164\">0.027708<\/td>\n<td style=\"text-align: center;\" width=\"164\">0.027708<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"164\"><strong>(t2,tn)<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"164\"><\/td>\n<td style=\"text-align: center;\" width=\"164\">0.027708<\/td>\n<td style=\"text-align: center;\" width=\"164\">0.027708<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"164\"><strong>(t3,tn)<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"164\"><\/td>\n<td style=\"text-align: center;\" width=\"164\"><\/td>\n<td style=\"text-align: center;\" width=\"164\">0.027708<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p><strong>Table 4: P value after comparison of Functional Index of different drugs in t4<\/strong><\/p>\n<table style=\"width: 95%;\" border=\"1\" cellspacing=\"0\" cellpadding=\"4\">\n<tbody>\n<tr>\n<td style=\"text-align: center;\" width=\"327\">P-K<\/td>\n<td style=\"text-align: center;\" width=\"328\">0.002537<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"327\">P-T<\/td>\n<td style=\"text-align: center;\" width=\"328\">0.002537<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"327\">P-C<\/td>\n<td style=\"text-align: center;\" width=\"328\">0.002537<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"327\">K-T<\/td>\n<td style=\"text-align: center;\" width=\"328\">0.002537<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"327\">K-C<\/td>\n<td style=\"text-align: center;\" width=\"328\">0.002537<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"327\">T-C<\/td>\n<td style=\"text-align: center;\" width=\"328\">0.002537<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<table style=\"width: 70%;\" border=\"1\" cellpadding=\"5\">\n<tbody>\n<tr>\n<td><img decoding=\"async\" class=\"alignnone size-thumbnail wp-image-34809\" src=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2020\/09\/Vol13No3_Eva_Kus_Fig2-150x150.jpg\" alt=\"Figure 2: Comparison of FI of paracetamol, Ketorolac and Tramadol\" width=\"150\" height=\"150\" srcset=\"https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2020\/09\/Vol13No3_Eva_Kus_Fig2-150x150.jpg 150w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2020\/09\/Vol13No3_Eva_Kus_Fig2-256x256.jpg 256w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2020\/09\/Vol13No3_Eva_Kus_Fig2.jpg 702w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/><\/td>\n<td><strong>Figure 2: Comparison of FI of paracetamol, Ketorolac and Tramadol<\/strong><\/p>\n<p><a href=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2020\/09\/Vol13No3_Eva_Kus_Fig2.jpg\" target=\"_blank\"><span style=\"font-family: inherit; font-size: inherit;\">Click here to View Figure<\/span><\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<table style=\"width: 70%;\" border=\"1\" cellpadding=\"5\">\n<tbody>\n<tr>\n<td><img decoding=\"async\" class=\"alignnone size-thumbnail wp-image-34808\" src=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2020\/09\/Vol13No3_Eva_Kus_Fig3-150x150.jpg\" alt=\"Figure 3: Comparison of AUC of paracetamol, Ketorolac and Tramadol\" width=\"150\" height=\"150\" srcset=\"https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2020\/09\/Vol13No3_Eva_Kus_Fig3-150x150.jpg 150w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2020\/09\/Vol13No3_Eva_Kus_Fig3-256x256.jpg 256w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2020\/09\/Vol13No3_Eva_Kus_Fig3.jpg 646w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/><\/td>\n<td><strong>Figure 3: Comparison of AUC of paracetamol, Ketorolac and Tramadol<\/strong><\/p>\n<p><a href=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2020\/09\/Vol13No3_Eva_Kus_Fig3.jpg\" target=\"_blank\"><span style=\"font-family: inherit; font-size: inherit;\">Click here to View Figure<\/span><\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p><strong>Results<\/strong><\/p>\n<p>Table. 1 shows that the p value is significant for all comparisons between FI of t1 with t2 ,t3 and t4 and t2 with t3 , t4 and t3 with t4.<\/p>\n<p>Table.2 shows that the p value is significant for all comparisons between FI of t1 with t2 ,t3 and t4 and t2 with t3 , t4 and t3 with t4. The Table.3 shows that the p value is\u00a0 highly significant for all comparisons between FI of t1 with t2 ,t3 and t4 and t2 with t3 , t4 and t3 with t4.<\/p>\n<p>Results of \u2018p\u2019 value in Table. 4 shows the comparison of the result of FI at t4 of different drugs and control also show highly significant values.<\/p>\n<p>Figure. 1 is the schematic circuit diagram of the device that was used to record the time of contact between both the rat\u2019s hind paw and the rotating cylinder.<\/p>\n<p>Figure. 2 shows the comparison of the FI of all the four groups.<\/p>\n<p>Figure. 3 shows the comparison of the AUC of all the four groups.<\/p>\n<p>The maximum efficacy is seen with Tramadolfollowed by paracetamol closely followed by Ketorolac.<\/p>\n<p>The results obtained for different drugs confirm the pattern of drug action. The change of Functional Index\u00a0 with time are in accordance with the pharmacological properties which are characteristic for that class of drug. For e.g. Paracetamol has a fast onset while\u00a0 Tramadol is slower acting.<\/p>\n<p><strong>Discussion<\/strong><\/p>\n<p>This study was performed in the Department of Pharmacology and Therapeutics, Rajendra Institute of Medical Sciences, Ranchi. Permission was duly obtained the Institutional Animal Ethics Committee(IAEC) at the Rajendra Institute of Medical Sciences, Ranchi(Jharkhand).<\/p>\n<p>The PIFIR method seems to be more suitable for the assay of analgesic drugs. It is however not so suitable to characterize agents that have a delayed onset or agents that have a longer duration of action. The estimation of the time course of study would be required to accommodate such compounds.<\/p>\n<p>Intra-articular injection of Uric acid induces a more acute inflammatory response compared\u00a0 to sodium urate crystals. Hypothesis also suggests that MSU crystals based micro-particles and chondrocytes\u00a0 based proteoglycans can induce\u00a0 subclinical , low-grade inflammation. This can aggravate degradation\u00a0 of the cartilage and can also cause\u00a0 knee OA progression .<sup>13<\/sup>Uric acid injection on the other hand produced a consistent dysfunction of the injured leg due to acute inflammation which persisted\u00a0 for at least for 4 hours. Therefore, the employed method can be considered as a suitable model to realistically simulate temporal clinical pain.<\/p>\n<p>Uric acid injection causes a motor dysfunction in the injected leg. The rats avoided the use of the injured leg when they were compelled to walk on the cylinder. The dysfunction onset happened gradually with a maximal (almost 100%) effect in 2.5 h. This is taken as a pain measure and has been shown as paw elevation in urate induced arthritis in rats as shown by Neugebauer et al.<sup>13<\/sup> The main advantage of this type of gait analysis is that the quantitation is independent of the observer.<\/p>\n<p>Paracetamol showed an efficacy which was considerably lower than Tramadolbut roughly equal to that of Ketorolac in our experiment. The maximum functional index is seen at t1which corresponds to the peak plasma concentration of the drug. This is comparable to a research done by Amran et al , where oral paracetamol attains peak plasma concentrations within 30\u201360 minutes.<sup>14<\/sup>The FI declines to almost 55% at t4 in our study. In a study done by Dominguez-Ramirez et al, the FI at t4 done by the PIFIR method, for an oral dose of paracetamol is 28% of the maximum.<sup>15<\/sup> Thus we find that the nociceptive effect of paracetamol considerably declines within 4 hours in both the studies. The AUC for paracetamol is 220.4 for 4 hours after administration\u00a0 in our study which corresponds to 55% bioavailability. In the study by Amran et al, the bioavailability was found to be 70% which is higher than that in our study. <sup>15<\/sup>This difference may be due to difference in the route of administration or difference in species used in the two experiments. It is almost equal to the study by Dominguez-Ramirez et al who obtained AUC of 239.1 at the end of 4 hours.<sup>16<\/sup><\/p>\n<p>For\u00a0 a long time, it has been thought that paracetamol reveals analgesic and antipyretic properties by acting centrally and its inhibitory effect on COX1 and COX-2 activity, i.e., prostaglandin synthesis is low.<sup>17<\/sup><\/p>\n<p>Ketorolac shows maximum efficacy at t1 which is slightly less than paracetamol in our experiment . A low dose of i.m. Ketorolac has\u00a0 shown a significant and immediate analgesic effect on\u00a0\u00a0 jaw muscle pain in human beings in an experiment by Bendixen et al.<sup>18 <\/sup>On the contrary, Ketorolac i.p. was not seen to reduce pain in mice by a study done by Rouf et al.<sup>19<\/sup> The onset of action is 30 minutes with peak effect at 45-60 minutes as suggested by Mallinson TE which corresponds to the time of onset and maximum efficacy in our experiment.<sup>20 <\/sup>FI of 64% at t4 for Ketorolac in our experiment shows that the duration of action of Ketorolac is approximately the same as above. The AUC of ketorolc is 230.0 which roughly corresponds to 57% bioavailability in our experiments. In a\u00a0 similar earlier study with with dose-dependent maximal concentration, a similar result was observed in around 20 minutes. The\u00a0 half-life was observed at about 6 hours. The relationship of AUC\u00a0and the dose was observed to be linearly increasing. The difference in AUC\/dose\u00a0 between doses was not found to be statistically significant. This suggests that pharmacokinetics of\u00a0Ketorolac\u00a0has a linear structure for a variety of\u00a0 doses under study.<sup>21<\/sup><\/p>\n<p>In several studies, Ketorolac was found to be equally effective analgecic\u00a0 as meperidine\u00a0 or morphine post some specific types of surgery. However, many subsequent studies reported unwanted side effects of Ketorolac. This include side effects such as\u00a0 nephrotoxicity, gastrointestinal issues, coagulopathy and others.\u00a0 As a result use of other classes of non-opioid analgesics is being increasing observed<sup>22<\/sup>.<\/p>\n<p>In our experiments we observed that\u00a0\u00a0 the opioid drug,\u00a0 Tramadol exhibited highest\u00a0 efficacy. But, the onset of the effect was\u00a0\u00a0 slow\u00a0\u00a0 and the duration of action seemed to be prolonged; i.e. the FI was observed for a shorter period than required to observe the total time course and activity of action of Tramadol. These results are in conformity with those of Gholami et al.\u00a0 Their study found the duration of analgesic effect of Tramadol100 mg ( single dose, oral) was about 6 hours. The peak analgesic effect of Tramadol recorded in their studies was 3.7 hours in wistar rats.<sup>23 <\/sup>Hoenemoff et al showed that the i.p. administration of Tramadol (12.5 mg each kilogram of body weight)\u00a0 exhibited protracted delay in hot plate and tail flick tests\u2019 outcome to acute thermic pain without causing skin lesions.<sup>24\u00a0<\/sup>These results are comparable to the analgesic effect of i.p. Tramadol in our experiment. Following i.p. administration, the bioavailability of Tramadolwas\u00a0\u00a0 found to be 67% according to Vaz et al.<sup>25 <\/sup>In our experiment, we found the AUC which corresponds to the bioavailability to be 48% of the maximum.<\/p>\n<p>Berrosco et al suggested that 5-HT<sub>1A<\/sub>autoreceptor modulation from the raphe nuclei and spinal cord seem to be participating in the antinociceptive effect of Tramadol.<sup>26<\/sup><\/p>\n<p>The FI\u00a0 and AUC remains very low in the control group ,showing that antinociception is achieved with the drugs only and uric acid induced arthritis further deteriorates in this group in 4 hours. The outcomes of these experiment agree with the outcome of both catwalk analysis in freely moving animals\u00a0 and gait analysis on treadmills.\u00a0 This procedure can thus be considered as a suitable model of tonic temporal pain and thus may be used to realistically simulate clinical pain in temporal settings.<sup>27<\/sup> The onset of activity of Tramadol is very slow with maximum efficacy at t3.The AUC\u00a0\u00a0 of Tramadolin 4 hours is much lower than both the above drugs. This warrants further studies with a\u00a0 longer time duration to study the pharmacokinetic action of Tramadol.<\/p>\n<p>However since the quick pace of joint disruption in our studies does not accurately model the slow onset and growth of osteoarthritis pathology, there may be difference in results of the treatment modalities.<\/p>\n<p><strong>Conclusion<\/strong><\/p>\n<p>Current study shows that the antinociceptive efficacy of Tramadolis better than paracetamol and Ketorolac. Paracetamol and Ketorolac show almost equal antinociceptive efficacy.<\/p>\n<p>Paracetamol and Keterolac have an early onset of action whereas Tramadol acts for a long time. So in order to achieve an immediate and sustained antinociception, as in rheumatoid arthritis, a combination of either paracetamol or keterolac along with Tramadolcan be very good antidote.<\/p>\n<p>Further research on these drugs using a longer time duration, different doses and different routes of administration, serum plasma concentration measurements and in combinations may add to the existing knowledge on the antinociceptive efficacy of these drugs in arthritis.<\/p>\n<p><strong>Acknowledgements<\/strong><\/p>\n<p>We are thankful to Bhaskar Chaudhary for making the apparatus.<\/p>\n<p><strong>Conflict of Interest<\/strong><\/p>\n<p>There is no conflict of interest.<\/p>\n<p><strong>Funding Source<\/strong><\/p>\n<p>There is no funding source.<\/p>\n<p><strong>References<\/strong><\/p>\n<ol>\n<li>Henschke N, Camper SJ, Maher CG, The epidemiology and economic consequences of pain: Mayo. Clin. 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[&#8230;]<\/p>\n","protected":false},"author":13,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[79],"tags":[],"class_list":["post-34782","post","type-post","status-publish","format-standard","hentry","category-vol13no3"],"_links":{"self":[{"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/posts\/34782","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/users\/13"}],"replies":[{"embeddable":true,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/comments?post=34782"}],"version-history":[{"count":5,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/posts\/34782\/revisions"}],"predecessor-version":[{"id":37542,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/posts\/34782\/revisions\/37542"}],"wp:attachment":[{"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/media?parent=34782"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/categories?post=34782"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/tags?post=34782"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}