{"id":19321,"date":"2018-03-25T10:54:19","date_gmt":"2018-03-25T10:54:19","guid":{"rendered":"http:\/\/biomedpharmajournal.org\/?p=19321"},"modified":"2020-04-23T05:14:28","modified_gmt":"2020-04-23T05:14:28","slug":"investigation-of-possible-pharmacokinetic-interaction-between-ivabradine-and-carvedilol-in-rats-using-high-performance-liquid-chromatographymass-spectroscopy","status":"publish","type":"post","link":"https:\/\/biomedpharmajournal.org\/staging\/vol11no1\/investigation-of-possible-pharmacokinetic-interaction-between-ivabradine-and-carvedilol-in-rats-using-high-performance-liquid-chromatographymass-spectroscopy\/","title":{"rendered":"Investigation of Possible Pharmacokinetic Interaction Between Ivabradine and Carvedilol in Rats using High Performance Liquid Chromatography\/Mass Spectroscopy"},"content":{"rendered":"<p><strong>Introduction<\/strong><\/p>\n<p>Heart failure(HF) is a condition in which the heart can&#8217;t pump enough blood to meet the body&#8217;s needs. In some cases, the heart can&#8217;t be filled with enough blood. In other cases, the heart can&#8217;t pump blood to the rest of the body with enough force. Some people have both problems.<sup>1-5<\/sup><\/p>\n<p>The term \u201ccongestive heart failure\u201d (CHF) refers to the state in which decreased heart function is accompanied by accumulation of body fluid in the lungs and elsewhere (Medical Dictionary, 2011). Heart failure may be reversible, and people may live for many years after the diagnosis is made. CHF may occur suddenly, or it may develop gradually.<sup>6-8<\/sup> When heart assignment deteriorates over years, one or more conditions may exist.<sup>9-13<\/sup><\/p>\n<p>The treatment of HF (according to the American Heart Association); involves prescribing one or more of oral medications of; \u03b2-blockers, angiotensin converting enzyme (ACE) \u2013inhibitors, diuretics, Aldosterone antagonists, antiplatelets and statins. Other medications are prescribed according to the patient\u2019s condition, age and severity of the case.<sup>14-16<\/sup><\/p>\n<p>So, combination therapy is usual in this disease due to the inability to control the heart\u2019s function and the stability of the cardiovascular system by single medication.<\/p>\n<p>Ivabradine (IVA) is a newly approved medication for stable angina and HF by FDA in April 2015. Few trials of combination therapies of IVA with other medication are proposed and studied. Among these, the trial of Bagriy et al. which showed promising results on the improvement of patients health state specially during exercise.<sup>17<\/sup> Other study by Bocchi \u00a0et al <sup>18<\/sup> proved improvement of heart function when IVA was prescribed with different \u03b2-blockers. These studies depend on measurement of heart function when these combinations are prescribed to patients. No study reported studying possible pharmacokinetic interaction between IVA and the widely prescribed \u03b2-blocker \u201cCarvedilol\u201d (CAR).<\/p>\n<p><strong>Objective of Study<\/strong><\/p>\n<p>The aim of this study is to investigate the possibility of pharmacokinetic interaction of a proposed oral combination of IVA and the \u03b2-blocker CAR in rats using HPLC\/Mass spectroscopy technique (LC\/MS).<\/p>\n<p><strong>Methodology<\/strong><\/p>\n<p><strong>Reagents<\/strong><\/p>\n<p>Carvedilol\u00a0 and Ivabradine hydrochloride (Sycheem pharma), Ticlopidine (trumpharma code TICL10G101288), Formic acid(Tabuk #WS\/085\/13),Methyl t-Butyl Ether of HPLC\/ACS grade (Fisher scientific), Acetonitrile ( HPLC\/SPECTRO) grade ,Fisher scientific) ,Methanol (HPLC\/SPECTRO grade ,Fisher scientific), Rat plasma, harvested from Animal house in University of Petra.<\/p>\n<p><strong>Instrumentation<\/strong><\/p>\n<p>Vortex mixer IKA (36 samples), Centrifuge ( Eppendorf centrifuge 5810 R), Balance ( Mettler (AT250,Analytical balance),Freezer, -20\u00baC,-70\u00baC (Hitachi), Refrigerator, 2-8\u00baC (Hitachi), HPLC (Agilent 1200 Series) equipped with API 4000, Applied Biosystems, MDS SCIEX. Detector, Analyte 1.6 software, solvent delivery system pump (agilent 1200), and an autaomatic sampling system (agilent 1200). Separation was achieved using a 100mm*4.6 mm C8, ACE, reversed phase column with average size of 5.00 \u00b5m. the chromatographic data analysis was performed with computer system (Windows XP, SP3).<\/p>\n<p><strong>Chromatographic Conditions<\/strong><\/p>\n<p>The HPLC conditions were set as in table (1). The mobile phase consisted of acetonitril (ACN): water (50:50%) + formic acid (FA) 0.1%. (500 ml) ACN and (500 ml) distilled deionized water were measured accurately, mixed in a volumetric flask and were shaken well, then (1000 \u03bcl) of FA was added and the mixture was shaken very well.<\/p>\n<p><strong>Table 1: Chromatographic conditions<\/strong><\/p>\n<table style=\"width: 95%;\" border=\"1\" cellspacing=\"0\" cellpadding=\"4\">\n<tbody>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"2\" width=\"126\"><strong>HPLC conditions<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"122\"><strong>Pump flow rate<\/strong><\/td>\n<td style=\"text-align: center;\" colspan=\"2\" width=\"136\"><strong>Autosampler injection volume<\/strong><\/td>\n<td style=\"text-align: center;\" colspan=\"2\" width=\"142\"><strong>AutosamplerTemp.<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"113\"><strong>Column oven temp.<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"122\"><strong>0.700 ml\/min<\/strong><\/td>\n<td style=\"text-align: center;\" colspan=\"2\" width=\"136\"><strong>10 ml<\/strong><\/td>\n<td style=\"text-align: center;\" colspan=\"2\" width=\"142\"><strong>5<sup>o<\/sup>C.<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"113\"><strong>40<sup>o<\/sup>C<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" rowspan=\"3\" width=\"126\">Chromatography<\/td>\n<td style=\"text-align: center;\" width=\"122\">Mobile phase<\/td>\n<td style=\"text-align: center;\" colspan=\"5\" width=\"391\">ACN: water (50:50%) + FA 0.1%. (500 ml)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"122\">Column type<\/td>\n<td style=\"text-align: center;\" colspan=\"5\" width=\"391\">100mm*4.6 mm C8, ACE, reversed phase column with average size of 5.00 \u00b5m<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"122\">Retention times<\/td>\n<td style=\"text-align: center;\" width=\"128\">CAR\u00bb 2.35 min.<\/td>\n<td style=\"text-align: center;\" colspan=\"2\" width=\"113\">IVA<\/p>\n<p>\u00bb 1.64 min.<\/td>\n<td style=\"text-align: center;\" colspan=\"2\" width=\"149\">Ticlopidine (IS)<\/p>\n<p>\u00bb 1.87 min.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p><strong>Preparation of Stock and Working Solutions<\/strong><\/p>\n<p><strong>Preparation of Stock and Working Solutions of Ticlopidine (IS)<\/strong><\/p>\n<p>A stock solution of ticlopidine (IS) of 1 mg\/ml was prepared by dissolving 10mg of ticlopidine in 10ml distilled deionized water. Working solutions of IS was prepared by taking 10 \u00b5l and diluted to 100 ml by distilled deionized water and mixed by Vortex. The resultant concentration is (100 ng\/ml). Further dilution was made to 10 ng\/ml.<\/p>\n<p><strong>Preparation of Stock and Working Solutions of CAR and IVA<\/strong><\/p>\n<p>A stock solution of CAR at a concentration of (1 mg\/ml) was prepared in Dilutions were made by distilled deionized water toconcentration (2 \u00b5g \/ml).The same procedure and dilutions wede made for IVA.<\/p>\n<p><strong>Preparation of CAR and IVA Solutions for the Preparation of Calibration Standards and QC Samples<\/strong><\/p>\n<p>From the working solutions of CAR and IVA (2 \u00b5g\/ml), series of calibration standard solutions were spiked in 30 \u00b5l plasma to produce concentrations (0.1, 0.2, 0.5,2,5, 10,15,20 and 65 ng\/ml) for both drugs for the calibration standards.<\/p>\n<p>For QC samples, three samples (QC<sub>Low<\/sub>, QC<sub>med<\/sub> and QC<sub>High<\/sub>) were prepared. The total rat plasma volume used was also equal to (300 \u00b5l) and the spiked volume was equal to (30 \u00b5l). Concentrations of QC samples were 0.3, 8.0, 17.0 ng\/ml for both drugs respectively.<\/p>\n<p><strong>Method Validation<\/strong><\/p>\n<p>CAR and IVA method validation included (precision, accuracy, linearity, stability and recovery) has been considered in compliance with EMEA 2011 and US FDA 2001 regulation for the present trail bioanalytical method validation and development.<\/p>\n<p><strong>Precision and Accuracy<\/strong><\/p>\n<p>The intra-day precision and accuracy of the method was determined by analysis of 6 replicates of the lower limit of quantification (LLOQ) and QC levels in the same day. The inter-day variability was determined by analysis of three runs of the lower limit of quantification (LLOQ) and QC levels in three different days. The relative standard deviation values (RSD) or CV% were calculated from the ratios of the standard deviation (SD) to the mean and expressed as percentage.<\/p>\n<p>The accuracy of the method was determined by comparing practical amounts recovered from the control samples with actual values present in the samples (theoretical values). The acceptable limits of intra-day and inter-day accuracy and precision were below 15% except at the LLOQ, for which accuracy and precision should be below 20% according to EMEA.<\/p>\n<p><strong>Linearity<\/strong><\/p>\n<p>The calibration curve of each of CAR and IVA is a plot of the peak area ratio (PAR) of the drug to the internal standard as a function of the drug concentration (<em>C<\/em>). This gives the following equation: PAR = Slope \u00d7 <em>C <\/em>+ Intercept. The slope and the intercept are determined from the determined PAR and the nominal concentration of the drug. The unknown CAR or IVA concentrations are determined from this equation.<\/p>\n<p>Linearity of the plotted curve is evaluated through the value of the correlation coefficient (R).<\/p>\n<p>Six calibration curved were constructed; (Oral CAR, oral CAR in combination, I.V CAR, oral IVA, oral IVA in combination, I.V IVA).<\/p>\n<p><strong>Stability<\/strong><\/p>\n<p>Stability of CAR and IVA in rats\u2019 plasma were evaluated using low and high QC samples (blank plasma spiked with CAR or IVA at a concentration of a maximum of 3 times the LLOQ and to the ULOQ) which are analyzed immediately after preparation and after 6 hours at room temperature. The mean concentration at each level should be within \u00b115% of the nominal concentration.<\/p>\n<p><strong>Recovery<\/strong><\/p>\n<p>Three samples of each of QC<sub>Low<\/sub>, QC<sub>med<\/sub>, and QC <sub>High <\/sub>were prepared in plasma and same samples in solution, extracted and injected to be analyzed, then compare the results.<\/p>\n<p><strong>Extraction method<\/strong><\/p>\n<p>The procedures described are to be applied for subject samples and for the extraction of calibration standards and quality control samples of both CAR and IVA.<\/p>\n<p>Thirty (30) ml of serial solution into blank plasma were added to 270 \u00b5l of blank plasma\/(300 \u00b5l) of spiked plasma into pre-labled tube. Then, 50 ml of IS Ticlopidine working solution (10 ng \/ml) were added and vortexed for 10 seconds. Five (5) ml of t- Butyl Methyl Ether was then dispensed and vortexed for 5 minutes. Samples then were centrifugated at 3400 rpm for (5)min, at 10\u00baC , then freezed at (-70) for about (30)min.<\/p>\n<p>The organic layer was then decanted in another labeled clean test tube and the solvent was evaporated under a stream of compressed air at room temperature.( this step should be conducted in the fume hood). Then the residue was dissolved in \u00a0(200 \u00b5l) of mobile phase and vortex for one minute to reconstitute and finally transferred to the auto-sampler rack.<\/p>\n<p><strong>Preclinical Study<\/strong><\/p>\n<p>CAR and IVA doses were selected based on maximum daily doses of adult human. Since both drugs are known to have high first-pass effect, higher oral doses were selected.<\/p>\n<p>IVA was given I.V (60\u00b5g) in 1 ml as sterile solution as single dose and orally 72 \u00b5g in 1 ml as oral solution single dose. Solutions were prepared from freshly 1mg\/ml stock solution of IVA in distilled deionized water. The I.V solution was filtered through 0.22 micron filter membrane to make it sterile for injection.<\/p>\n<p>CAR was given intravenously in a dose of 140 \u00b5g dissolved in 1 ml of 50:50 water:ethanol as single dose and orally 200 \u00b5g in one ml also as single dose. \u00a0The solutions were also prepared from freshly prepared 1mg\/ml stock solution. The I.V solution was filtered through 0.22 micron filter membrane as with IVA.<\/p>\n<p>Forty Sprague Dawley male rats were used in this study. They were in healthy condition, and treated according and in compliance with FELASA guidelines, Federaration of European Laboratory Animal Science Association. The study protocol was approved by Research committee (August, 2016), by Faculty of Pharmacy and Medicinal Sciences, Al Ahliyya Amman University, Amman Jordan.<\/p>\n<p>Average rats weight was equal to 200 g \u00b115 g .They were placed in air-conditioned environment (20-25<sup>o<\/sup>C) and exposed to a photoperiod cycle (12 hours light\/12 hours\u2019 dark) daily. All rats fasted 12 hr before experiment day.<\/p>\n<p>The rats were divided into 5 groups, each group contained 8 rats. Group 1 received I.V IVA injected by small needle in the tail\u2019s vein. Group 2 received oral IVA by oral gavage. While group 3 received I.V CAR by the same method and group 4 received oral CAR. Group 5 received combination of oral IVA solution and CAR solution given successively.<\/p>\n<p>Blood samples were taken from the rats at the following time points 20min, 40min, 1hr, 1.5hr, 3hr, 6hr, 10hr, 24hr and 36hr. Blood samples were drawn by making a clean\u00a0 insecion in the tail and letting blood dropping\u00a0 into an Ethylenediaminetetraacetic acid (EDTA) containing micro-tubes, marked and numbered in order. Blood samples were immediately centrifuged at 5000 RPM for 5 minutes, plasma was obtained and placed into labeled eppendorf tubes and stored at -20\u00baC till analysis.Each sample was analyzed separately without pooling to ensure result and validity. Drugs were extracted according to the method of extraction described above.<\/p>\n<p><strong>Pharmacokinetic Study<\/strong><\/p>\n<p>After the construction of Cp vs. t profile by plotting average plasma concentration of each drug in ng\/ml vs. time in hours, the pharmacokinetic analysis was performed.<\/p>\n<p>Non compartmental analysis serves as an easy method to calculate kinetic parameters from plasma data. Key kinetic parameters (elimination rate constant and clearance) are calculated from I.V data to exclude any variation due to absorption phase and first \u2013pass effect. Then, other parameters were all calculated for CAR and IVA alone and in combination (orally) and then compared statistically.<\/p>\n<p>Non compartmental analysis was performed using Microsoft excel<sup>\u00ae<\/sup> 2010 The following kinetic parameters calculated were the following: Cmax , Tmax, AUC-36, AUC-\u221e, AUMC <sub>0-36, <\/sub>AUMC <sub>0-\u221e <\/sub>, MRT<sub> 0-36, <\/sub>MRT0-\u221e Kel (elimination rate constant), t<sub>1\/2<\/sub> (elimination half-life), Cl (clearance), V\/F (volume of distribution after oral dosing), MAT<sub>0-36, <\/sub>MAT<sub>0-\u221e, <\/sub>F (extent of bioavailability). These parameters were calculated for all data of the five groups.<\/p>\n<p><strong>Statistical Analysis<\/strong><\/p>\n<p>All samples readings were taken each time from 8 animals and the concentration was expressed as mean \u00b1SD. All kinetic parameters were also calculated for each animal and expressed as Mean\u00b1SD and standard error of the mean (SEM) Using Kinetica\u00ae, version4.<\/p>\n<p>Unpaired Students t-test was used to detect any variation in each kinetic parameter using C.I as 95%.<\/p>\n<p><strong>Results and Discussion<\/strong><\/p>\n<p><strong>Validation<\/strong><\/p>\n<p>The method validation was performed for CAR and IVA described HPLC-MS method to demonstrate the reliability of a particular method for the determination of the drug concentration in a \u00a0rat plasma. Figure 1-3 show the chromatogram of CAR and IVA blank, and IS(ticlopidine) rat plasma sample after 1 hour.<\/p>\n<table style=\"width: 70%;\" border=\"1\" cellpadding=\"5\">\n<tbody>\n<tr>\n<td>\u00a0<img decoding=\"async\" class=\"alignnone size-thumbnail wp-image-19329\" src=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig1-150x150.jpg\" alt=\"Figure 1: Chromatogram of carvedilol.\" width=\"150\" height=\"150\" srcset=\"https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig1-150x150.jpg 150w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig1-256x256.jpg 256w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig1.jpg 790w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/><\/td>\n<td><strong>Figure 1: Chromatogram of carvedilol.<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"http:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig1.jpg\" target=\"_blank\">Click here to View figure<\/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-19330\" src=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig2-150x150.jpg\" alt=\"Figure 2: Chromatogram of Ivabradine\" width=\"150\" height=\"150\" srcset=\"https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig2-150x150.jpg 150w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig2-256x256.jpg 256w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig2.jpg 846w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/><\/td>\n<td><strong>Figure 2: Chromatogram of Ivabradine<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"http:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig2.jpg\" target=\"_blank\">Click here to View figure<\/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>\u00a0<img decoding=\"async\" class=\"alignnone size-thumbnail wp-image-19331\" src=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig3-150x150.jpg\" alt=\"Figure 3: Chromatogram of IS ticlopidine.\" width=\"150\" height=\"150\" srcset=\"https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig3-150x150.jpg 150w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig3-256x256.jpg 256w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig3.jpg 814w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/><\/td>\n<td><strong>Figure 3: Chromatogram of IS ticlopidine.<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"http:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig3.jpg\" target=\"_blank\">Click here to View figure<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p><strong>Accuracy and Precision<\/strong><\/p>\n<p>During the current method validation, Coefficient of variation (%CV) values of CAR were reported to range from as low as 2.74% for a set concentration equal to 8 ng\/ml relevant to the QC<sub>Med<\/sub> samples, that comes within the accepted range of \u00b115% of the calculated mean concentration (6.83 \u2013 9.29) ng\/ml, reaching to a maximum of 10.88% recorded for the QC<sub>High<\/sub> at a predefined concentration of 17 ng\/ml, which typically fits within accepted range of 15% of the calculated mean concentration (14.40 \u2013 19.60) ng\/ml.<\/p>\n<p>These CV% values indicate an appreciable significant precision which highly complies with EMEA 2004 and US.FDA 2010 regulation and guidelines. Data is shown in tables (2)and (3).<\/p>\n<p>While CV% for LLOQ and QC<sub>Low<\/sub> were reported to be equal to 5.94% and 6.715402%, respectively. Again, these outcomes indicate good precision that reflect reliability and validity of current trail outcomes.<\/p>\n<p><strong>Table 2: Intra &#8211; day Precision and Accuracy data for CAR.<\/strong><\/p>\n<table style=\"width: 95%;\" border=\"1\" cellspacing=\"0\" cellpadding=\"4\">\n<tbody>\n<tr>\n<td style=\"text-align: center;\" width=\"138\"><strong>\u00a0<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"120\"><strong>LLOQ<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"113\"><strong>QC<sub>Low<\/sub><\/strong><\/td>\n<td style=\"text-align: center;\" width=\"120\"><strong>QC<sub>Mid<\/sub><\/strong><\/td>\n<td style=\"text-align: center;\" width=\"107\"><strong>QC<sub>High<\/sub><\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"138\">Target conc.<\/td>\n<td style=\"text-align: center;\" width=\"120\">0.100 ng\/ml<\/td>\n<td style=\"text-align: center;\" width=\"113\">0.3 ng\/ml<\/td>\n<td style=\"text-align: center;\" width=\"120\">8 ng\/ml<\/td>\n<td style=\"text-align: center;\" width=\"107\">17ng\/ml<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"138\">Calculated conc. \u00b1SD<\/td>\n<td style=\"text-align: center;\" width=\"120\">0.116\u00b1 0.007 ng\/ml<\/td>\n<td style=\"text-align: center;\" width=\"113\">0.331\u00b10.022ng\/ml<\/td>\n<td style=\"text-align: center;\" width=\"120\">8.621\u00b10.760ng\/ml<\/td>\n<td style=\"text-align: center;\" width=\"107\">17.30\u00b11.88<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"138\">SE<\/td>\n<td style=\"text-align: center;\" width=\"120\">0.0024<\/td>\n<td style=\"text-align: center;\" width=\"113\">0.0077<\/td>\n<td style=\"text-align: center;\" width=\"120\">0.268<\/td>\n<td style=\"text-align: center;\" width=\"107\">0.664<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"138\">Accuracy\u00b1SD<\/td>\n<td style=\"text-align: center;\" width=\"120\">115.658\u00b16.876<\/td>\n<td style=\"text-align: center;\" width=\"113\">110.55\u00b17.42%<\/td>\n<td style=\"text-align: center;\" width=\"120\">112.343\u00b13.08<\/td>\n<td style=\"text-align: center;\" width=\"107\">101.80\u00b111.08<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"138\">CV%<\/td>\n<td style=\"text-align: center;\" width=\"120\">5.972<\/td>\n<td style=\"text-align: center;\" width=\"113\">6.687<\/td>\n<td style=\"text-align: center;\" width=\"120\">2.746<\/td>\n<td style=\"text-align: center;\" width=\"107\">10.88<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"138\">Range<\/td>\n<td style=\"text-align: center;\" width=\"120\">0.002-0.010<\/td>\n<td style=\"text-align: center;\" width=\"113\">0.312-0.371<\/td>\n<td style=\"text-align: center;\" width=\"120\">7.519-9.239<\/td>\n<td style=\"text-align: center;\" width=\"107\">15.239-19.42<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p><strong>Table 3: Intra &#8211; day Precision and Accuracy data for IVA.<\/strong><\/p>\n<table style=\"width: 95%;\" border=\"1\" cellspacing=\"0\" cellpadding=\"4\">\n<tbody>\n<tr>\n<td style=\"text-align: center;\" width=\"138\"><\/td>\n<td style=\"text-align: center;\" width=\"120\"><strong>LLOQ<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"123\"><strong>QC<sub>Low<\/sub><\/strong><\/td>\n<td style=\"text-align: center;\" width=\"99\"><strong>QC<sub>Mid<\/sub><\/strong><\/td>\n<td style=\"text-align: center;\" width=\"108\"><strong>QC<sub>High<\/sub><\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"138\"><strong>Target conc.<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"120\">0.100 ng\/ml<\/td>\n<td style=\"text-align: center;\" width=\"123\">0.300 ng\/ml<\/td>\n<td style=\"text-align: center;\" width=\"99\">8.00 ng\/ml<\/td>\n<td style=\"text-align: center;\" width=\"108\">17.00 ng\/ml<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"138\"><strong>Mean Calculated conc. \u00b1SD<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"120\">0.101\u00b10.018 ng\/ml<\/td>\n<td style=\"text-align: center;\" width=\"123\">0.391\u00b10.020 ng\/ml<\/td>\n<td style=\"text-align: center;\" width=\"99\">8.700\u00b10.414 ng\/ml<\/td>\n<td style=\"text-align: center;\" width=\"108\">16.862\u00b13.206 ng\/ml<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"138\"><strong>SE<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"120\">0.0063<\/td>\n<td style=\"text-align: center;\" width=\"123\">0.0070<\/td>\n<td style=\"text-align: center;\" width=\"99\">0.146<\/td>\n<td style=\"text-align: center;\" width=\"108\">1.133<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"138\"><strong>Accuracy\u00b1SD<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"120\">102.488\u00b119.141<\/td>\n<td style=\"text-align: center;\" width=\"123\">106.537\u00b16.856<\/td>\n<td style=\"text-align: center;\" width=\"99\">108.752\u00b1 5.162<\/td>\n<td style=\"text-align: center;\" width=\"108\">99.186\u00b118.860<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"138\"><strong>CV%<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"120\">18.677<\/td>\n<td style=\"text-align: center;\" width=\"123\">6.435<\/td>\n<td style=\"text-align: center;\" width=\"99\">4.747<\/td>\n<td style=\"text-align: center;\" width=\"108\">19.015<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"138\"><strong>Range<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"120\">0.08-0.15 ng\/ml<\/td>\n<td style=\"text-align: center;\" width=\"123\">0.298-0.350<\/td>\n<td style=\"text-align: center;\" width=\"99\">7.990\u00b19.074<\/td>\n<td style=\"text-align: center;\" width=\"108\">10.544\u00b119.631<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p><strong>Linearity<\/strong><\/p>\n<p>Linearity is essential perquisite for a successful and reliable method validation. All the calculated concentration of calibration levels were within \u00b120% for LLOQ, and \u00b115% for other QC levels. \u00a0The (R) values ranged between (0.998 and 0.999). Results showed to be highly accepted and most fit, indicating valid method linearity, as shown in table (4) and figures (4 and 5).<\/p>\n<p><strong>Table 4: Linearity and linear working range of six calibration curves of CAR and IVA data based on the measured concentration.<\/strong><\/p>\n<table style=\"width: 95%;\" border=\"1\" cellspacing=\"0\" cellpadding=\"4\">\n<tbody>\n<tr>\n<td style=\"text-align: center;\" width=\"126\"><strong>\u00a0<\/strong><\/td>\n<td style=\"text-align: center;\" colspan=\"10\" width=\"564\"><strong>Concentration for each Standard Point (ng\/ml)<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"126\"><strong>CAR (theor.)<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"48\">0.1<\/td>\n<td style=\"text-align: center;\" width=\"48\">0.2<\/td>\n<td style=\"text-align: center;\" width=\"54\">0.5<\/td>\n<td style=\"text-align: center;\" width=\"60\">2.00<\/td>\n<td style=\"text-align: center;\" width=\"60\">5.00<\/td>\n<td style=\"text-align: center;\" width=\"66\">10.00<\/td>\n<td style=\"text-align: center;\" width=\"60\">15.00<\/td>\n<td style=\"text-align: center;\" width=\"60\">20.00<\/td>\n<td style=\"text-align: center;\" width=\"60\">65.00<\/td>\n<td style=\"text-align: center;\" width=\"48\">R<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"126\"><strong>CAR (oral)<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"48\">0.120<\/td>\n<td style=\"text-align: center;\" width=\"48\">0.193<\/td>\n<td style=\"text-align: center;\" width=\"54\">0.466<\/td>\n<td style=\"text-align: center;\" width=\"60\">1.356<\/td>\n<td style=\"text-align: center;\" width=\"60\">4.356<\/td>\n<td style=\"text-align: center;\" width=\"66\">9.712<\/td>\n<td style=\"text-align: center;\" width=\"60\">15.958<\/td>\n<td style=\"text-align: center;\" width=\"60\">19.995<\/td>\n<td style=\"text-align: center;\" width=\"60\">63.343<\/td>\n<td style=\"text-align: center;\" width=\"48\">0.999<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"126\"><strong>CAR (oral-comb.)<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"48\">0.108<\/td>\n<td style=\"text-align: center;\" width=\"48\">0.176<\/td>\n<td style=\"text-align: center;\" width=\"54\">0.430<\/td>\n<td style=\"text-align: center;\" width=\"60\">1.988<\/td>\n<td style=\"text-align: center;\" width=\"60\">5.250<\/td>\n<td style=\"text-align: center;\" width=\"66\">11.192<\/td>\n<td style=\"text-align: center;\" width=\"60\">14.756<\/td>\n<td style=\"text-align: center;\" width=\"60\">21.154<\/td>\n<td style=\"text-align: center;\" width=\"60\">62.502<\/td>\n<td style=\"text-align: center;\" width=\"48\">0.998<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"126\"><strong>CAR (I.V)<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"48\">0.120<\/td>\n<td style=\"text-align: center;\" width=\"48\">0.242<\/td>\n<td style=\"text-align: center;\" width=\"54\">0.433<\/td>\n<td style=\"text-align: center;\" width=\"60\">1.702<\/td>\n<td style=\"text-align: center;\" width=\"60\">5.172<\/td>\n<td style=\"text-align: center;\" width=\"66\">9.259<\/td>\n<td style=\"text-align: center;\" width=\"60\">14.633<\/td>\n<td style=\"text-align: center;\" width=\"60\">20.116<\/td>\n<td style=\"text-align: center;\" width=\"60\">64.678<\/td>\n<td style=\"text-align: center;\" width=\"48\">0.999<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"126\"><strong>IVA(theor.)<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"48\">0.1<\/td>\n<td style=\"text-align: center;\" width=\"48\">0.2<\/td>\n<td style=\"text-align: center;\" width=\"54\">0.5<\/td>\n<td style=\"text-align: center;\" width=\"60\">2.00<\/td>\n<td style=\"text-align: center;\" width=\"60\">5.00<\/td>\n<td style=\"text-align: center;\" width=\"66\">10.00<\/td>\n<td style=\"text-align: center;\" width=\"60\">15.00<\/td>\n<td style=\"text-align: center;\" width=\"60\">20.00<\/td>\n<td style=\"text-align: center;\" width=\"60\">50.00<\/td>\n<td style=\"text-align: center;\" width=\"48\">R<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"126\"><strong>IVA (oral)<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"48\">0.110<\/td>\n<td style=\"text-align: center;\" width=\"48\">0.210<\/td>\n<td style=\"text-align: center;\" width=\"54\">0.490<\/td>\n<td style=\"text-align: center;\" width=\"60\">1.800<\/td>\n<td style=\"text-align: center;\" width=\"60\">5.030<\/td>\n<td style=\"text-align: center;\" width=\"66\">9.660<\/td>\n<td style=\"text-align: center;\" width=\"60\">15.100<\/td>\n<td style=\"text-align: center;\" width=\"60\">19.610<\/td>\n<td style=\"text-align: center;\" width=\"60\">50.790<\/td>\n<td style=\"text-align: center;\" width=\"48\">0.999<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"126\"><strong>IVA (oral-comb.)<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"48\">0.115<\/td>\n<td style=\"text-align: center;\" width=\"48\">0.190<\/td>\n<td style=\"text-align: center;\" width=\"54\">0.444<\/td>\n<td style=\"text-align: center;\" width=\"60\">2.026<\/td>\n<td style=\"text-align: center;\" width=\"60\">4.994<\/td>\n<td style=\"text-align: center;\" width=\"66\">10.895<\/td>\n<td style=\"text-align: center;\" width=\"60\">14.421<\/td>\n<td style=\"text-align: center;\" width=\"60\">23.908<\/td>\n<td style=\"text-align: center;\" width=\"60\">51.460<\/td>\n<td style=\"text-align: center;\" width=\"48\">0.999<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"126\"><strong>IVA (I.V)<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"48\">0.080<\/td>\n<td style=\"text-align: center;\" width=\"48\">0.186<\/td>\n<td style=\"text-align: center;\" width=\"54\">0.509<\/td>\n<td style=\"text-align: center;\" width=\"60\">2.160<\/td>\n<td style=\"text-align: center;\" width=\"60\">5.294<\/td>\n<td style=\"text-align: center;\" width=\"66\">10.759<\/td>\n<td style=\"text-align: center;\" width=\"60\">16.356<\/td>\n<td style=\"text-align: center;\" width=\"60\">19.782<\/td>\n<td style=\"text-align: center;\" width=\"60\">47.675<\/td>\n<td style=\"text-align: center;\" width=\"48\">0.998<\/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>\u00a0<img decoding=\"async\" class=\"alignnone size-thumbnail wp-image-19332\" src=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig4-150x150.jpg\" alt=\"Figure 4: Linearity of I.V CAR data.\" width=\"150\" height=\"150\" srcset=\"https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig4-150x150.jpg 150w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig4-256x256.jpg 256w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig4.jpg 786w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/><\/td>\n<td><strong>Figure 4: Linearity of I.V CAR data.<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"http:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig4.jpg\" target=\"_blank\">Click here to View figure<\/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>\u00a0<img decoding=\"async\" class=\"alignnone size-thumbnail wp-image-19333\" src=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig5-150x150.jpg\" alt=\"Figure 5: Linearity of I.V IVA data.\" width=\"150\" height=\"150\" srcset=\"https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig5-150x150.jpg 150w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig5-256x256.jpg 256w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig5.jpg 803w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/><\/td>\n<td><strong>Figure 5: Linearity of I.V IVA data.<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"http:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig5.jpg\" target=\"_blank\">Click here to View figure<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p><strong>Stability and Recovery<\/strong><\/p>\n<p><strong>Short-term temperature stability for CAR and IVA<\/strong><\/p>\n<p>Two sets of QC samples ( low, and high) were prepared. One set (composed of three samples) was immediately extracted (0) hr while the other one (composed of three samples) was extracted (6) hr after being left on the bench at room temperature and Quantified on fresh standard curve. The same procedure was applied on IVA. Results of recovery are presented in tables 5 and 6.<\/p>\n<p><strong>Table 5: Results of short term stability of CAR and IVA<\/strong><\/p>\n<table style=\"width: 95%;\" border=\"1\" cellspacing=\"0\" cellpadding=\"4\">\n<tbody>\n<tr>\n<td style=\"text-align: center;\" colspan=\"7\" width=\"603\"><strong>CAR<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"61\"><strong>Time<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"112\"><strong>QC <sub>low <\/sub>Mean\u00b1SD<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"73\"><strong>CV%<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"75\"><strong>Stability%<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"114\"><strong>QC <sub>high <\/sub>Mean\u00b1SD<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"72\"><strong>CV%<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"96\"><strong>Stability%<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"61\">0 -hr<\/td>\n<td style=\"text-align: center;\" width=\"112\">0.314\u00b10.0076<\/td>\n<td style=\"text-align: center;\" width=\"73\">2.42<\/td>\n<td style=\"text-align: center;\" width=\"75\">*<\/td>\n<td style=\"text-align: center;\" width=\"114\">15.135\u00b10.2499<\/td>\n<td style=\"text-align: center;\" width=\"72\">1.65<\/td>\n<td style=\"text-align: center;\" width=\"96\">*<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"61\">6 &#8211; hr<\/td>\n<td style=\"text-align: center;\" width=\"112\">0.324\u00b10.0156<\/td>\n<td style=\"text-align: center;\" width=\"73\">4.81<\/td>\n<td style=\"text-align: center;\" width=\"75\">108.00<\/td>\n<td style=\"text-align: center;\" width=\"114\">15.176\u00b10.601<\/td>\n<td style=\"text-align: center;\" width=\"72\">3.96<\/td>\n<td style=\"text-align: center;\" width=\"96\">89.27<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"61\"><\/td>\n<td style=\"text-align: center;\" colspan=\"6\" width=\"542\"><strong>IVA<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"61\"><strong>\u00a0<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"112\"><strong>QC <sub>low <\/sub>Mean\u00b1SD<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"73\"><strong>CV%<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"75\"><strong>Stability%<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"114\"><strong>QC <sub>high <\/sub>Mean\u00b1SD<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"72\"><strong>CV%<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"96\"><strong>Stability%<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"61\">0 -hr<\/td>\n<td style=\"text-align: center;\" width=\"112\">0.333\u00b10.0082<\/td>\n<td style=\"text-align: center;\" width=\"73\">2.46<\/td>\n<td style=\"text-align: center;\" width=\"75\">*<\/td>\n<td style=\"text-align: center;\" width=\"114\">15.574\u00b10.5429<\/td>\n<td style=\"text-align: center;\" width=\"72\">3.49<\/td>\n<td style=\"text-align: center;\" width=\"96\">*<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"61\">6 &#8211; hr<\/td>\n<td style=\"text-align: center;\" width=\"112\">0.328\u00b10.0177<\/td>\n<td style=\"text-align: center;\" width=\"73\">5.40<\/td>\n<td style=\"text-align: center;\" width=\"75\">109.33<\/td>\n<td style=\"text-align: center;\" width=\"114\">15.545\u00b12.33<\/td>\n<td style=\"text-align: center;\" width=\"72\">2.33<\/td>\n<td style=\"text-align: center;\" width=\"96\">103.63<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p><strong>Table 6: Results of recovery of IVA and CAR<\/strong><\/p>\n<table style=\"width: 95%;\" border=\"1\" cellspacing=\"0\" cellpadding=\"4\">\n<tbody>\n<tr>\n<td style=\"text-align: center;\" width=\"160\"><strong>\u00a0<\/strong><\/td>\n<td style=\"text-align: center;\" width=\"160\"><strong>QC<sub>low<\/sub><\/strong><\/td>\n<td style=\"text-align: center;\" width=\"160\"><strong>QC<sub>med<\/sub><\/strong><\/td>\n<td style=\"text-align: center;\" width=\"160\"><strong>QC<sub>high<\/sub><\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"160\">\u00a0CAR % Recovery (range)<\/td>\n<td style=\"text-align: center;\" width=\"160\">71.585 \u2013 88.561<\/td>\n<td style=\"text-align: center;\" width=\"160\">79.74 \u2013 84.65<\/td>\n<td style=\"text-align: center;\" width=\"160\">83.13 \u2013 91.39<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\" width=\"160\">IVA % Recovery (range)<\/td>\n<td style=\"text-align: center;\" width=\"160\">90.37 \u2013 95.36<\/td>\n<td style=\"text-align: center;\" width=\"160\">90.09 \u2013 92.69<\/td>\n<td style=\"text-align: center;\" width=\"160\">88.39 \u2013 94.79<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p><strong>Pharmacokinetic Study<\/strong><\/p>\n<p>Plasma level-time profiles of\u00a0 I.V and\u00a0 IVA and CAR are represented in Fig 6and 7. Oral IVA and CAR alone and in combination are represented in figures 7 and 8.<\/p>\n<p>Oral profiles showed enterohepatic circulation of CAR which is reported in some animal species as mentioned by the FDA approval document of CAR.<\/p>\n<p>The calculated pharmacokinetic parameters of IVA and CAR after I.V doses are given in table7<\/p>\n<p>While PK of both drugs when given alone and in combination are listed in table 8.<\/p>\n<table style=\"width: 70%;\" border=\"1\" cellpadding=\"5\">\n<tbody>\n<tr>\n<td>\u00a0<img decoding=\"async\" class=\"alignnone size-thumbnail wp-image-19334\" src=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig6-150x150.jpg\" alt=\"Figure 6: Plasma concentration - time profile of single I.V bolus dose (140 mcg) of CAR\" width=\"150\" height=\"150\" srcset=\"https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig6-150x150.jpg 150w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig6-256x256.jpg 256w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig6.jpg 810w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/><\/td>\n<td><strong>Figure 6: Plasma concentration &#8211; time profile of single I.V bolus dose (140 mcg) of CAR<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"http:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig6.jpg\" target=\"_blank\">Click here to View figure<\/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>\u00a0<img decoding=\"async\" class=\"alignnone size-thumbnail wp-image-19335\" src=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig7-150x150.jpg\" alt=\"Figure 7: Plasma concentration - time profile of single I.V bolus dose (60 mcg) of IVA\" width=\"150\" height=\"150\" srcset=\"https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig7-150x150.jpg 150w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig7-256x256.jpg 256w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig7.jpg 818w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/><\/td>\n<td><strong>Figure 7: Plasma concentration &#8211; time profile of single I.V bolus dose (60 mcg) of\u00a0 IVA<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"http:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig7.jpg\" target=\"_blank\">Click here to View figure<\/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-19343\" src=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_tab7-150x150.jpg\" alt=\"Table 7: The mean Kinetic Parameters \u00b1 SD of I.V CAR and IVA Calculated by Non compartmental analysis after I.V bolus dose.\" width=\"150\" height=\"150\" srcset=\"https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_tab7-150x150.jpg 150w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_tab7.jpg 857w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/><\/td>\n<td><strong>Table 7: The mean Kinetic Parameters \u00b1 SD of I.V CAR and IVA Calculated by Non compartmental analysis<\/strong> <strong>after I.V bolus dose.<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"http:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_tab7.jpg\" target=\"_blank\">Click here to View\u00a0table<\/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-19336\" src=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig8-150x150.jpg\" alt=\"Figure 8: Plasma concentration - time profile of CAR given alone and in combination with IVA\" width=\"150\" height=\"150\" srcset=\"https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig8-150x150.jpg 150w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig8-256x256.jpg 256w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig8.jpg 848w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/><\/td>\n<td><strong>Figure 8: Plasma concentration &#8211; time profile of CAR given alone and in combination with IVA<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"http:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig8.jpg\" target=\"_blank\">Click here to View figure<\/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-19337\" src=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig9-150x150.jpg\" alt=\"Figure 9: Plasma concentration - time profile of IVA given alone and in combination with CAR\" width=\"150\" height=\"150\" srcset=\"https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig9-150x150.jpg 150w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig9-256x256.jpg 256w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig9.jpg 823w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/><\/td>\n<td><strong>Figure 9: Plasma concentration &#8211; time profile of IVA given alone and in combination with CAR<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"http:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_fig9.jpg\" target=\"_blank\">Click here to View figure<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p>Results showed significant interaction on kinetic level between the two drugs. Both drugs showed increase in plasma concentrations when given in combination.<\/p>\n<p>The rate of absorption is measured by t<sub>max<\/sub> (time to reach maximum concentration) which reflects how fast the absorption process occurs regardless the mechanism. t<sub>max<\/sub> for CAR did not change when given in combination with IVA. Reaching C<sub>max<\/sub> in less than half an hour is considered to be very fast rate of absorption. In combination CAR reached higher C<sub>max<\/sub> but at the same time as given alone which indicated that even if an interaction occurred on absorption level, this interaction did not affect absorption speed.<\/p>\n<p>MAT (mean absorption time) is calculated by subtracting MRT I.V from MRT oral to give approximately the total time consumed by absorption process table ( 8\u00a0 ). It is not like t<sub>max<\/sub> which can be calculated exactly from data, rather it is calculated based on AUC and AUMC.<\/p>\n<p>For IVA, t<sub>max<\/sub> was elongated from 0.4125\u00b10.15 hr to 0.66\u00b10.17 hr. This change was statistically significant using 5% C.I.<\/p>\n<p>MAT<sub>36<\/sub> increased from 2.41\u00b1.57 hr to 5.677\u00b10.97 hr and MAT<sub>\u221e<\/sub> from 3.28\u00b10.87 hr to 7.807\u00b11.65 hr. The change for all these parameters is significant reflecting some kind of slowing in absorption of IVA in presence of CAR table (8).<\/p>\n<p>This slowing in absorption rate could be attributed to some kind of competition on transporters of IVA by CAR. Specially that CAR is known to be moderate p-gp modifier (The FDA approval).<\/p>\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-19344\" src=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_tab8-150x150.jpg\" alt=\"Table 8: Average kinetic parameters \u00b1 SD of CAR and IVA given orally alone and in combination (*p\" width=\"150\" height=\"150\" srcset=\"https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_tab8-150x150.jpg 150w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_tab8-256x256.jpg 256w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_tab8.jpg 805w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/><\/td>\n<td><strong>Table 8: Average kinetic parameters \u00b1 SD of CAR \u00a0and IVA given orally alone and in combination (*p&lt;0.05 significant)<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"http:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2018\/03\/Vol11No1_Inv_Sai_tab8.jpg\" target=\"_blank\">Click here to View\u00a0table<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p>Bioavailability parameters involve C<sub>max<\/sub>, t<sub>max<\/sub>, AUC and (F) (fraction of drug absorbed).For CAR C<sub>max<\/sub> was increased significantly on 5% C.I. .Since t<sub>max<\/sub> has not changed, this increase is due to increase in the extent of CAR absorption with concomitant administration of IVA. Also AUC<sub>36<\/sub> and AUC<sub>\u221e <\/sub>were increased significantly reflecting high increase in the extent of drug absorption.<\/p>\n<p>The extent of bioavailability of CAR when given alone was equal to 0.510\u00b10.096. This low bioavailability is mainly due to high first pass effect. The metabolism of CAR is mainly due to ring oxidation and conjugation with glucouronic acid and bile excretion of the conjugate. Data proved enterohepatic circulation when given alone and in combination. The increase extent of bioavailability reflects either increase in amount of drug absorbed, a decrease in the metabolic activity in the liver or both. Since\u00a0 CAR is known to be highly absorbed both in man and rat, thus, this increase in plasma concentration and extent of bioavailability is most likely due to enzyme inhibition and decreased metabolic activity responsible for the first-pass effect induced by IVA.<\/p>\n<p>For IVA C<sub>max<\/sub> was also increased significantly associated by significant increase in the t<sub>max<\/sub> \u00a0, AUC<sub>36 <\/sub>and AUC<sub>\u221e .<\/sub> This means that the extent of drug reaches systemic circulation is much higher when the drug is given concomitantly with CAR. This is further approved by the significant increase in bioavailability of IVA from 0.504\u00b10.060 to 0.798\u00b10.055 in combination. This increase in bioavailability is also highly attributed to the decreased in metabolic activity in the liver induced by CAR and expressed as some kind of enzyme inhibition.<\/p>\n<p>When the increase in C<sub>max<\/sub> of IVA is associated with increase in t<sub>max<\/sub> this means that even if most of the drug is absorbed, the absorption process is slower in presence of CAR. MAT<sub>36<\/sub> was also increased significantly. CAR is known to be moderate gp-modulator (inhibitor) (The FDA approval). IVA being a water soluble compound, there is possibility of involvement of transporter effect in its absorption. No enough information is available on the exact mechanism of its absorption. If a gp-transporters are involved in its absorption, then the reversible competitive inhibition of these transporters by CAR would result in delay of absorption rate.<\/p>\n<p>The elimination parameters involve K<sub>el<\/sub>, t<sub>\u00bd<\/sub> and Cl which describe the overall elimination processes of the drug from the body. All these parameters for both drugs changed significantly when given together, which indicates the effect of each drug on the other\u2019s elimination processes. The major mechanisms reported for CAR is oxidation of ring and side chain. The significant decrease of K<sub>el<\/sub> of CAR from 0.063\u00b1002 h<sup>-1<\/sup> when given alone to 0.044\u00b10.01 hr<sup>-1 <\/sup>in combination suggests a clear slowing in the elimination process may be due to inhibition of one or more metabolizing enzymes.IVA is non reported to act as enzyme inhibitor for CYP450 in man, but the species variation might play a significant role in studying the pharmacokinetic interactions of this new drug in animal models.<\/p>\n<p>As a result, t<sub>\u00bd<\/sub> was increased significantly from 10.980\u00b10.002 hr to 15.5\u00b1 0.1 hr and the Cl decreased significantly from 542.19\u00b133.10 ml\/hr to 279.71\u00b114.50 ml\/hr reflecting slowing in the elimination processes.<\/p>\n<p>MRT is the parameter that measures the mean time of presence of parent drug in the body. It gives the overall time course without identifying the rate of each process. It is calculated by dividing AUMC by AUC to extract the time dimension. MRT<sub>36<\/sub> and MRT\u221e of CAR was increased significantly in combination (table8)<\/p>\n<p>Since CAR was absorbed quickly, this elongation in MRT of CAR is most likely attributed to the slowing of elimination processes. No signs of linearity were noticed; beside CAR is reported in literatures to keep linearity (in rats) in much higher doses than the one used in this study [19].(Morgan, 1994).<\/p>\n<p>Regarding IVA, no enough information is available about its metabolism in rats. In human the major pathway of metabolism is through CYP3A4. It also suffers high first\u2013pass effect due to the action of liver and possibly intestinal CYP. When given in combination the K<sub>el<\/sub> , t<sub>\u00bd, <\/sub>and Cl were changed significantly. These results indicate also an elongation in elimination time and slowing in elimination process probably because of some inhibitory effect of CAR on IVA metabolizing enzymes.<\/p>\n<p><strong>Conclusion<\/strong><\/p>\n<p>In conclusion, a significant kinetic interaction occurred when ivabradine\u00a0 was given orally with carvedilol \u00a0expressed as elongation in elimination half-life and higher clearance. This makes dose adjustment of both drugs of much importance if such combination is to be considered.<\/p>\n<p><strong>Acknowledgement<\/strong><\/p>\n<p>The research team would like to thank Al-Ahliyya Amman University, Triumpharm Research Center in Amman and University of Petra for the support of this work.<\/p>\n<p><strong>References<\/strong><\/p>\n<ol>\n<li>Takeshi K and\u00a0Wilson W. H .\u00a0 Recent advances in treatment of heart failure.<em> F 1000 Res<\/em>. 2015;4:1475.<\/li>\n<li>Bagriy A. E., Shchukina E. V., Malovichko S. I., Prikolota A. V.\u00a0 Addition of Ivabradine to carvdilol\u00a0 reduces duration\u00a0 of carvedilol\u00a0 uptitration and improve\u00a0 exercise\u00a0 capacity in patients with chronic heart disease.\u00a0<em>J Am Coll Cardiol.<\/em> 2013;61.<\/li>\n<li>Suzana M.\u00a0 Heart Failure Care: More Than Just Heart Failure. <em>J. Card. Fail<\/em>.\u00a0 \u00a02017;23(1):10-11.<br \/>\n<a href=\"https:\/\/doi.org\/10.1016\/j.cardfail.2016.10.005\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Hess O. M and Carroll J.\u00a0 D.\u00a0 Clinical assessment of heart failure. In a Libby P., Bonow R. O., Mann D. L. , Zipes D. P., (Eds.),\u00a0Libby Braunwald&#8217;s Heart Disease A Textbook of Cardiovascular Medicine. 8th ed. Saunders. 2007.<\/li>\n<li>Wood D.\u00a0 Preventing clinical heart failure: the rationale and scientific evidence. <em>Heart.<\/em> 2002;88(2):15\u201322.<\/li>\n<li>Vasan R. S., Colucci W. S., Hassan K., Andreas P., Kalogeropoulos M. D., \u00a0Faiez Z., Catherine N., Peter W. F., Wilson M. D., Vasiliki V., Georgiopoulou M. Incident Heart Failure in Relation to Vascular Disease. <em>Eur. J. Heart. Fail<\/em>. 2014;16(5):526\u2013534.<br \/>\n<a href=\"https:\/\/doi.org\/10.1002\/ejhf.69\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Roger V.\u00a0 L. Epidemiology of heart failure. <em>Circ. Res<\/em>.\u00a0\u00a02013;113:646\u201359.<br \/>\n<a href=\"https:\/\/doi.org\/10.1161\/CIRCRESAHA.113.300268\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Burchfield J. S., Xie M., Hill J. A.\u00a0 Pathological ventricular remodeling mechanisms part 1 of 2. <em>Circulat<\/em>.\u00a0 2013;128:388\u2013400.<br \/>\n<a href=\"https:\/\/doi.org\/10.1161\/CIRCULATIONAHA.113.001878\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Felker G. M., Hasselblad V., Hernandez A. F., O\u2019Connor C. M.\u00a0 Biomarkerguided therapy in chronic heart failure: a meta-analysis of randomized controlled trials. <em>Am Heart J<\/em>. 2009;158:422\u201330.<br \/>\n<a href=\"https:\/\/doi.org\/10.1016\/j.ahj.2009.06.018\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>McMurray J. J., Adamopoulos S., Anker S. D., Auricchio A., Bohm M., Dickstein K.\u00a0 ESC guidelines for the diagnosis and treatment of acute and chronic heart failure.<em> Eur. J. Heart Fail<\/em>. 2012;14:803\u201369.<\/li>\n<li>Poelzl G., Trenkler C., Kliebhan J., Wuertinger P., Seger C., Kaser S.\u00a0 FGF 23 is associated with disease severity and prognosis in chronic heart failure. <em>Eur. J. Clin. Invest<\/em>. 2014;44:1150\u20138.<br \/>\n<a href=\"https:\/\/doi.org\/10.1111\/eci.12349\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Greenberg B and Kahn A. M. Clinical assessment of heart failure. In: Bonow R. O., Mann D. L., Zipes D. P., Libby P., eds.\u00a0<em>Braunwald&#8217;s Heart Disease: A Textbook of Cardiovascular Medicine<\/em><em>. <\/em>9th ed. Saunders. 2012;2012:26.<br \/>\n<a href=\"https:\/\/doi.org\/10.1016\/B978-1-4377-0398-6.00026-3\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Pitt B., Pfeffer M. A., Assmann S. F.\u00a0 Spironolactone for heart failure with preserved ejection fraction.<em>\u00a0N. Engl. J. Med.<\/em>\u00a02014;370(15):1383\u201392.<br \/>\n<a href=\"https:\/\/doi.org\/10.1056\/NEJMoa1313731\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Cleland J. G., Tendera M., Adamus J.\u00a0 The perindopril in elderly people with chronic heart failure (PEP-CHF) study.\u00a0<em>Eur Heart J.<\/em>\u00a02006<em>;<\/em>27(19):2338\u201345.<br \/>\n<a href=\"https:\/\/doi.org\/10.1093\/eurheartj\/ehl250\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Flather M. D., Shibata M. C., Coats A. J.\u00a0 Randomized trial to determine the effect of nebivolol on mortality and cardiovascular hospital admission in elderly patients with heart failure. <em>Eur. Heart J<\/em>.\u00a0 2005;26(3):215\u201325.<br \/>\n<a href=\"https:\/\/doi.org\/10.1093\/eurheartj\/ehi115\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Desai A. S., Lewis E. F., Li R.\u00a0 Rationale and design of the treatment of preserved cardiac function heart failure with an aldosterone antagonist trial: a randomized, controlled study of spironolactone in patients with symptomatic heart failure and preserved ejection fraction.\u00a0<em>Am Heart J<\/em>.\u00a0 2011;162(6):966\u2013972.<br \/>\n<a href=\"https:\/\/doi.org\/10.1016\/j.ahj.2011.09.007\" target=\"_blank\">CrossRef<\/a><\/li>\n<li>Bagriy A. E., Shchukina E. V., Malovichko S. I., Prikolota A. V. Addition of Ivabradine to carvdilol\u00a0 reduces duration\u00a0 of carvedilol\u00a0 uptitration and improve\u00a0 exercise\u00a0 capacity in patients with chronic heart disease.\u00a0<em>J Am CollCardiol.<\/em> 2013;61(10).<\/li>\n<li><em>Bocchi E. A<\/em><em>.,\u00a0B\u00f6hm M.,\u00a0<\/em><em>Borer J. S<\/em><em>.,\u00a0<\/em><em>Ford I<\/em><em>.,\u00a0Komajda M.,\u00a0Swedberg K.,\u00a0Tavazzi L.\u00a0 Effect of Combining Ivabradine and \u03b2-Blockers: Focus on the Use of Carvedilol in the SHIFT Population.<\/em> <em>Cardiology.\u00a0<\/em>2015;131(4):218-24.<em><br \/>\n<\/em><a href=\"https:\/\/doi.org\/10.1159\/000380812\" target=\"_blank\">CrossRef<\/a><em><br \/>\n<\/em><\/li>\n<li>Morgan T.\u00a0 Clinical pharma cokinetics and pharma codynamics of carvedilol.\u00a0<em>Clin. Pharmacokinet<\/em>. 1994;26:335\u201346.<br \/>\n<a href=\"https:\/\/doi.org\/10.2165\/00003088-199426050-00002\" target=\"_blank\">CrossRef<\/a><\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Introduction Heart failure(HF) is a condition in which the heart  [&#8230;]<\/p>\n","protected":false},"author":9,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[55],"tags":[],"class_list":["post-19321","post","type-post","status-publish","format-standard","hentry","category-vol11no1"],"_links":{"self":[{"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/posts\/19321","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\/9"}],"replies":[{"embeddable":true,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/comments?post=19321"}],"version-history":[{"count":6,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/posts\/19321\/revisions"}],"predecessor-version":[{"id":32153,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/posts\/19321\/revisions\/32153"}],"wp:attachment":[{"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/media?parent=19321"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/categories?post=19321"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/tags?post=19321"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}