ADAPTOGENIC POTENTIAL OF ARTEMISIA VULGARIS LINN. (1753) LEAF EXTRACT ON MALE ALBINO RATS
HTML Full TextADAPTOGENIC POTENTIAL OF ARTEMISIA VULGARIS LINN. (1753) LEAF EXTRACT ON MALE ALBINO RATS
Florencio Jr. Villester Arce *, Celeste Gem Mistula Hermogenes, Razaele Maxille Caňete Prendol and Gerard Lee Lo See
Department of Pharmacy, School of Health Care Professions, University of San Carlos, Robert Hoeppener Building, Nasipit Talamban, Cebu City - 6000, Philippines.
ABSTRACT: Artemisia vulgaris leaves are known to have anectodatal evidence of antioxidant activity which can be of use as an anti – stress remedy. However, this claim is yet to be proven and no available data on its adaptogenic potential hence, this study aimed to determine the adaptogenic potential of Artemisia vulgaris leaf extract on male albino rats using acute restraint stress. Six male albino rats were used as test animals and were subdivided into the following: control group, untreated normal group, negative group, and three doses of the test solution [500mg/200g rat (T1), 250mg/200g rat (T2), and 150 mg/200g rat (T3)]. T3 rats exhibited the highest adaptogenic activity of -3,111.11% based on cholesterol levels and -1916.67% based on glucose levels. Moreover, glucose levels of T2 and T1 rats were -345.41% and -6.60%, respectively while for their cholesterol levels, T2 exhibited -277.78% and T1 exhibited -90.05%. The median effective dose of the test suspension based on cholesterol levels and glucose levels is 169.70 mg/200g rat and 151.81mg/200g rats, respectively. From this study, Artemisia vulgaris leaf extract has the potential protective effect against stress. Flavanoids, tannins and saponins in the leaf extract of Artemisia vulgaris were attributed for its adaptogenic activity.
Keywords: |
Artemisia vulgaris leaf extract, acute restrain stress, adaptogenic activity
INTRODUCTION: Stress has been defined as a biological response to events that threaten the balance or the normal conditions of the system 1. When under stress, levels of endogenous amines in the brain increase to prepare the organism to take action and to cope with the introduced stress. But beyond a certain point, stress starts to become a major drawback in a person’s life. The effect is exhibited when an individual identifies that the demands he is faced far exceeds its capability to mobilize 2.
Exposure to chronic stress, can lead to serious illness including cardiovascular abnormalities such as hypertension, stroke, and heart disease 3. Other stress related health problems include anxiety, depression, panic attacks, memory impairment, digestive disorders, autoimmune diseases and chronic fatigue syndrome 4. It has been reported that at least 60% of all illness can trace its roots back to the adverse effects of stress 5. All of these may cause further problems in an individual’s overall health, productivity and quality of life. Hence, it is important for an individual to cope with stress.
Some of the most extensively used drugs to combat stress are amphetamine, diazepam, caffeine and anabolic steroids.
But with reports of occurrence of side effects, dependence along with their high cost, the use of these drugs to control stress has been limited 6. Hence, many researchers focused to come up with safer and cheaper agents of plant origin.
In the past, the elders rely on plants to treat various disorders. The Philippines is rich in plants possessing potential therapeutic activities so most plants have well – known traditional uses 7.
Artemisia vulgaris is widely cultivated in the Philippines. It is traditionally used to alleviate various nervous system disorders such as depression, irritability, restelessness, insomnia and anxiety 8 but there are still no scientific evidences to prove its adaptogenic activity. However, the anti – oxidant activity of A. vulgaris has been widely established. Most plants with known anti – oxidant activities contain flavanoids and saponins. Similarly, reports have also shown that these constituents are present in A. vulgaris 9. Anti – oxidants protect cells from the damage caused by unstable molecules known as free radicals. Free radicals are highly reactive particles, which react with other molecules in the body, causing damage to a number of cells. An imbalance between the production of free radicals and the ability of the body to counteract their harmful effects may cause oxidative stress. Oxidative stress leads to many pathophysiological conditions in the body 10.
There have been links made between oxidative stress and physiological stress 11. During a stressful situation, the energy requirement of the organism is increased resulting in enhanced generation of free radicals, which facilitates lipid peroxidation as well as oxidation of nucleic acids and proteins, thereby damaging cell membranes and compromising cell integrity and function. Reducing these free radicals by treatment with anti – oxidants may possibly reduce the damaging effects of stress brought about by these reactive molecules 12. To rationalize the plant’s mentioned traditional uses which are scientifically supported by the studies made about the plant’s anti – oxidant activity, adaptogenic potential of the plant was conducted. This study aimed to determine the percent adaptogenic activity based on blood glucose and cholesterol levels; differences in the grooming and behavioural patterns; and median effective dose of the leaf extract.
MATERIALS AND METHODS:
Collection and Preparation of Plant Sample: Artemisia vulgaris leaves were collected from a local area in San Francisco, Unidos Camotes, Cebu, Philippines and they were authenticated by the University of San Carlos - Department of Biology. The leaves were washed with water and wiped dry to remove adhering water.
Extraction of Plant Sample: The leaves were air dried at room temperature for seven days and ground using mortar and pestle. One hundred grams of the ground leaves were subjected to Soxhlet extraction at 92°C for four hours. The solvent for extraction was 500ml of 70% methanol. The extract obtained was concentrated in a rotary evaporator under a reduced pressure at 45°C. The extractive was further evaporated to dryness using water bath inside the fume hood. The resulting leaf extract was reduced to finer particles using the mortar and pestle. This was properly labelled as the leaf extract.
Preparation of Stock Suspension: The leaf extract has a weak to moderate solubility as 1g of the leaf extract still remained undissolved in 1000ml of distilled water. A stock suspension was prepared with a concentration of 0.5g/mL using a volumetric flask. Tween 80 (1%) was used as the suspending agent to maintain the stability of the formulation.
Test Animals: Six male albino rats weighing 100-170 grams were used in the experiment. Group No was assigned as the Normal group which did not underwent stress, Group UT was assigned as the untreated group which underwent stress, Group NC was assigned as the negative control, which underwent stress and administered with distilled water, Group T1 was administered with 500mg/200g dose, Group T2 with 250mg/200g dose and Group T3 with 150 mg/200g dose. The experiment was conducted in three trials. All rats were fed with 10-30g of commercial pellets per day and were provided access to water ad libitum before the induction of stress. This diet was given to the rats during the whole duration of the experiment.
They were acclimatized for one week inside five plastic cages and were kept in the University of San Carlos animal house. Rats were acclimatized to handling (gentling) to reduce stress. Their backs were gently stroked and they were handled frequently. The animals were re-used and wash-out period for two weeks were employed. The research protocol was conducted under the supervision of a certified and trained animal technician ensuring proper animal handling was observed throughout the duration of the study.
Determination of Adaptogenic Potential by Acute Restraint Stress: 13, 14, 15
Baseline recording of levels of glucose and cholesterol: Baseline blood glucose and cholesterol levels for non-stress were measured using a glucometer and cholesterol meter one hour after the last day of acclimatization to the environment. The blood was extracted from the saphenous vein of the rats. All groups of rats had undergone blood extraction.
Acclimatization to the open field arena: Thirty minutes after blood extraction, the rats were acclimatized for five minutes on the behavioural test equipment for three consecutive days before the induction of the stressor. It was necessary to acclimatize the animals to the open field arena to avoid potential effects induced by novelty of the apparatus that would reduce the variation in the experimental data.
Induction of acute restraint stress before treatment: Thirty minutes after the third day of acclimatization to the open field arena, the rats, except those belonging to No, were subjected to acute restraint stress. They were immobilized simultaneously for one hour in a cylindrical bamboo restraining tube with a diameter of 4.5 cm and a length of 12 cm which has its one end covered by wire mesh to allow ventilation. One session of acute restraint stress were conducted daily for three days.
Assessment of behavioural and grooming patterns in the open field: Directly after the last stress session, the test animal was placed in the open arena and was observed for ten minutes. The activities of the test animal were recorded on video. The latency to start grooming, total number of bouts/session, total time spent grooming, number of incorrect transitions and incomplete bouts, and time spent in the inner zone of the field were recorded.
Measurement of glucose and cholesterol levels before treatment: One hour after assessment in the open field, blood samples from each test animals, except No, were collected through the saphenous vein using digital glucometer and cholesterol home check (Easy Touch ET Glucose and Cholesterol Kit). The blood samples were used for the determination of blood glucose and cholesterol levels and these served as the biochemical parameters before treatment with the test drug.
Administration of test drug: Twenty-four hours after blood extraction, the test suspensions were administered to the test animals. Groups T1, T2, T3 were treated with doses of 500mg/200g, 250 mg/200g rat and 150mg/200g rat respectively through gastric lavage. It was done for five consecutive days.
Induction of acute restraint stress after treatment: The test animals were again subjected to stress one hour after the last day of the administration of the test solutions. The rats, except those belonging to No, were subjected to acute restraint stress. They were immobilized simultaneously for one hour in the same cylindrical tube. It was conducted for three days.
Assessment of behavioural and grooming patterns in the open field: The test animal was placed in the open arena and was observed for 10 minutes. The activities of the test animal were recorded on video. The latency to start grooming, total number of bouts/session, total time spent grooming, number of incorrect transitions and incomplete bouts, and time spent in the inner zone of the field were recorded.
Measurement of glucose and cholesterol levels after treatment: One hour after assessment in the open field, blood samples from each test animals were collected through the saphenous vein using digital glucometer and cholesterol home check (Easy Touch ET Glucose and Cholesterol Kit). The blood samples were used for the determination of blood glucose and cholesterol levels. These served as the blood levels of glucose and cholesterol after treatment with the test drug of varying doses. Decrease in the blood glucose and cholesterol levels after treatment, increased time spent in the inner zone of the field, increased latency to start grooming, decreased number of bouts, decreased time spent grooming, low percentage of incorrect transitions and low percentage of incomplete bouts determined the adaptogenic potential of the plant to be studied.
Adaptogenic activity based on the blood glucose and cholesterol levels were assessed using the formula:
) ( - )]*100
Where:
B0 = baseline blood glucose/cholesterol levels
B1= blood glucose/cholesterol levels before treatment
B2= blood glucose/cholesterol levels after treatment 28
Determination of the Median Effective Dose: The median effective dose (ED50) were calculated based on the final blood levels of glucose and cholesterol and were obtained using the Pearson’s linear regression analysis given by the formula:
y=mx + b
Where:
y= 50 (half of its activity)
m= Slope of the line (gradient)
b= Intercept (The value of y when x=0)
x= dose of the test solution that will give 50% effectiveness
Statistical Analysis: The difference between the test groups was evaluated using one-way Analysis of Variance (ANOVA). Confidence level was set at 99% with 1% chance of error. Statistical significance were accepted at p-level<0.01. Since a significant difference was obtained, post-hoc analysis (Tukey HSD) was done.
RESULTS:
Percent Adaptogenic activity: The percent adaptogenic activity (%AA) was calculated based on the changes in the cholesterol and glucose levels. Based on the formula for computation of percent adaptogenic activity, the lower the percentage, the greater is the adaptogenic activity. Fig. 1 shows the average %AA.
FIG.1: AVERAGE PERCENT ADAPTOGENIC ACTIVITY
Behavioral Parameters:
Time spent in the inner circle of the open field arena: The average time spent in the inner circle of the open field arena of the rats subjected to stress (UT, Nc, T1, T2 and T3) decreased after induction of stress. On the other hand, rat No only had a small change in the amount of time spent in the inner circle of the arena. All groups of rats had an increase in the time spent in the inner circle after the period of administration of the test suspensions to the treated groups. However, a greater increase in the time spent in the inner circle can be observed in rats T1, T2 and T3 (Fig.2).
FIG.2: AVERAGE TIME (S) SPENT IN THE INNER CIRCLE OF THE OPEN FIELD ARENA
Latency to start grooming: The latency to start grooming decreased in rats induced with stress (UT, Nc, T1, T2 and T3). After treatment, an increase in the latency to start grooming can be observed in all groups of rats. However, a greater increase in the latency is evident in rats T1, T2 and T3 (Fig. 3).
FIG.3: AVERAGE LATENCY (S) TO BEGIN GROOMING
Number of bouts: The average number of bouts increased in the rats induced with stress (UT, Nc, T1, T2 and T3). A decrease of these values occurred in all groups of rats after the treatment period but lower reduction can be observed from the rats treated with the test drug suspension (Fig. 4).
FIG.4: AVERAGE NUMBER OF BOUTS
Duration of grooming: The average duration of grooming increased in rats induced with stress (UT, Nc, T1, T2 and T3). A decrease of these values occurred in all groups of rats after the treatment period but a lower reduction can be observed from the rats treated with the test drug suspension (Fig.5).
FIG.5: AVERAGE DURATION(S) OF GROOMING
Percentage of incorrect transitions: The average percentage of incorrect transitions increased in rats induced with stress (UT, Nc, T1, T2 and T3) A decrease in these values occurred in all groups of rats, except Nc, after the treatment period but a lower reduction can be observed from the rats treated with the test drug suspension (Fig. 6).
FIG. 6: AVERAGE PERCENTAGE (%) OF INCORRECT TRANSITIONS
Percentage of incomplete bouts: All rats have equal incomplete bouts all throughout the experiment. Only rats UT and T2 showed some degree of reduction in the percentage of incomplete bouts after the treatment period (Fig.7).
FIG.7: AVERAGE PERCENTAGE (%) OF INCOMPLETE BOUTS
Median Effective Dose
FIG. 8: LINEAR REGRESSION OF THE PERCENT ADAPTOGENIC ACTIVITY OF THE TEST SUSPENSION BASED ON CHOLESTEROL LEVELS
FIG. 9: LINEAR REGRESSION OF THE PERCENT ADAPTOGENIC ACTIVITY OF THE TEST SUSPENSION BASED ON GLUCOSE LEVELS
Statistical Analysis: The data from the percent adaptogenic activity based on the cholesterol and glucose levels were analysed using One-way Analysis of Variance (ANOVA). The p-level was
set at 0.01 (Table 1 - 4. Since the p-level was <0.01, then there was a significant difference between the independent (test groups) and dependent (%AA) variables.
TABLE 1: ONE-WAY ANALYSIS OF VARIANCE FOR CHOLESTEROL LEVELS
Source of Variation | d.f. | SS | MS | F | p-level |
Between Groups | 5 | 40746031 | 8149206 | 253.65831 | 9.82x10-12 |
Within Groups | 12 | 385520.5 | 32126.71 | ||
Total | 17 | 41131551 |
TABLE 2: TUKEY HSD TEST FOR DIFFERENCE BETWEEN MEANS (CHOLESTEROL)
Groups | Difference | p-level | Interpretation | |
500mg v 250mg | -2741.15000 | 0.000 | Significant | |
500mg v 150mg | -3069.42333 | 0.000 | Significant | |
500mg v negative | -3738.35333 | 0.000 | Significant | |
500mg v untreated | -3843.96000 | 0.000 | Significant | |
500mg v normal | -4805.35333 | 0.000 | Significant | |
250 mg v150mg | -328.27333 | 0.287 | Insignificant | |
250mg v negative | -997.20333 | 0.000 | Significant | |
250 mg v untreated | -1102.81000 | 0.000 | Significant | |
250mg v normal | -2064.20333 | 0.000 | Significant | |
150mg v negative | -668.93000 | 0.007 | Significant | |
150mg v untreated | -774.53667 | 0.002 | Significant | |
150mg v normal | -1735.93000 | 0.000 | Significant | |
negative v untreated | -105.60667 | 0.975 | Insignificant | |
negative v normal | -1067.00000 | 0.000 | Significant | |
untreated v normal | -961.39333 | 0.000 | Significant |
TABLE 3: ONE-WAY ANALYSIS OF VARIANCE FOR GLUCOSE LEVELS
Source of Variation | d.f. | SS | MS | F | p-level |
Between Groups | 5 | 17597809 | 3519562 | 318.3119 | 2.55x10-12 |
Within Groups | 12 | 132683.5 | 11056.96 | ||
Total | 17 | 17730493 |
TABLE 4: TUKEY HSD TEST FOR DIFFERENCE BETWEEN MEANS (GLUCOSE)
Groups | Difference | p-level | Interpretation | |
500mg v 250mg | -1646.76333 | 0.000 | Significant | |
500mg v 150mg | -1833.92000 | 0.000 | Significant | |
500mg v negative | -2230.65700 | 0.000 | Significant | |
500mg v untreated | -2371.47620 | 0.000 | Significant | |
500mg v normal | -3273.81333 | 0.000 | Significant | |
250 mg v150mg | -187.15667 | 0.110 | Insignificant | |
250mg v negative | -583.89367 | 0.000 | Significant | |
250 mg v untreated | -724.71287 | 0.000 | Significant | |
250mg v normal | -1627.05000 | 0.000 | Significant | |
150mg v negative | -396.73700 | 0.001 | Significant | |
150mg v untreated | -537.55620 | 0.000 | Significant | |
150mg v normal | -1439.89333 | 0.000 | Significant | |
negative v untreated | -140.81920 | 0.319 | Insignificant | |
negative v normal | -1043.15633 | 0.000 | Significant | |
untreated v normal | -902.33713 | 0.000 | Significant |
TABLE 5: ONE-WAY ANALYSIS OF VARIANCE FOR TIME SPENT IN THE INNER CIRCLE
Source of Variation | d.f. | SS | MS | F | p-level |
Between Groups | 5 | 1637.33 | 327.4667 | 3.328289 | 0.04079 |
Within Groups | 12 | 1180.667 | 98.38889 | ||
Total | 17 | 2818 |
TABLE 6: ONE-WAY ANALYSIS OF VARIANCE FOR LATENCY TO START GROOMING
Source of Variation | d.f. | SS | MS | F | p-level |
Between Groups | 5 | 3681.333 | 736.2667 | 0.610053 | 0.694363 |
Within Groups | 12 | 14482.67 | 1206.889 | ||
Total | 17 | 18164 |
TABLE 7: ONE-WAY ANALYSIS OF VARIANCE FOR NUMBER OF BOUTS
Source of Variation | d.f. | SS | MS | F | p-level |
Between Groups | 5 | 43.7778 | 8.75556 | 0.620472 | 0.687238 |
Within Groups | 12 | 169.333 | 14.1111 | ||
Total | 17 | 213.1111 |
TABLE 8: ONE-WAY ANALYSIS OF VARIANCE FOR DURATION OF GROOMING
Source of Variation | d.f. | SS | MS | F | p-level |
Between Groups | 5 | 32091.87 | 6418.373 | 1.145173 | 0.38936 |
Within Groups | 12 | 67256.61 | 5604.717 | ||
Total | 17 | 99348.47 |
TABLE 9: ONE-WAY ANALYSIS OF VARIANCE FOR INCORRECT TRANSITION
Source of Variation | d.f. | SS | MS | F | p-level |
Between Groups | 5 | 1500.614 | 300.1227 | 2.116888 | 0.1333305 |
Within Groups | 12 | 1701.305 | 141.7755 | ||
Total | 17 | 3201.919 |
TABLE 10: ONE-WAY ANALYSIS OF VARIANCE FOR INCOMPLETE BOUTS
Source of Variation | d.f. | SS | MS | F | p-level |
Between Groups | 5 | 1633.468 | 326.6936 | 1.891573 | 0.169596 |
Within Groups | 12 | 2072.52 | 172.71 | ||
Total | 17 | 3705.989 |
DISCUSSION: An increase in plasma glucose level will occur in response to stress. During stress, a series of events will occur and this includes the stimulation of the hypothalamus which proceeds to the secretion of corticotropin-releasing hormones (CRH), then the secretion of adrenocorticotropic hormones (ACTH) in to the bloodstream by the pituitary gland and finally the release of cortisol by the adrenal gland. The adrenal hormones secreted will induce insulin resistance and will then exhibit the said effect. The release of noradrenaline and corticosteroid will also enhance the synthesis of cholesterol. The transport of stored fat and carbohydrate reserves will also be affected by these changes causing an increase in the levels of blood cholesterol and glucose 16. The increased adrenal hormone levels and consequently, glucose and cholesterol levels are reversed by anti-stress agents 17.
In this study, the hypothesized anti-stress agent is the extract of the plant. The results show that groups T1, T2 and T3 had a significant reduction of glucose and cholesterol levels after administration of the test drug. Based on the formula for computation of percent adaptogenic activity, the smaller the percentage, the greater is the adaptogenic activity. These three groups yielded small percentages which can be translated as having high adaptogenic activities. On the other hand, groups No, UT and Nc yield large perccentages of adaptogenic activity and therefore have low adaptogenic activities.
Stress affects psychomotor profiles and exploratory behaviour. One measure for stress using the open field area apparatus is the time the rat spends in the center of the arena 18. In a study conducted by Faraji 19, the behavioural patterns of the animals subjected to stress were characterized by less locomotion and less distance travelled. Studies which investigate the effects of anxiolytic drugs have also reported that the more stressed rats spend more time near the walls and less time near the center of the arena as compared to the less stressed rats 20. Stressed rats will have a tendency to spend the majority of their time in close proximity to the walls, a phenomenon referred to as thigmotaxis. In this study, however, the results from a ANOVA show that there is no significant difference between the test groups and the time they spend in the inner circle of the arena. This means that the test doses have no direct effect on the time the subjects spent in the inner circle.
Studies 15, 21 reported that shorter latencies to start grooming, and an increase in grooming frequency and duration have long been considered as behavioural markers of stress. Moreover, the percentage of incorrect transitions between grooming patterns and percentage of incomplete bouts may also be used as behavioural markers of stress in rats. The results of their study showed that the grooming analysis algorithm revealed a marked shift in grooming behavioural patterns, significantly increasing the percentage of incorrect transitions and incomplete bouts in more anxious rats. In this study, however, the results from ANOVA show that there is no significant difference between the test groups and all the other parameters of behaviour. This means that the test doses have no direct effect on the behaviour as well as grooming patterns of the test subjects. These results may be attributed to the claim of the researchers in the previously mentioned study that the grooming algorithm analysis may not be applicable to all strains of rats. The rats used in their study were Wistar rats which may have different innate grooming behaviors.
Therefore, it can be assumed that grooming algorithm analysis can’t be applicable to all strains of rats and when a study will be done using this analysis, specific rat strains should be carefully selected.
The median effective dose was calculated based on Pearson’s linear regression analysis. The values used in the computation were the average percent adaptogenic activity of the test suspensions based on cholesterol and glucose levels. Based on the cholesterol levels, the median effective dose is 169.702mg/200g rat. Based on glucose levels, the median effective dose is 151.8061mg/200g rat. It is only at the said doses that the test suspension of A. vulgaris leaf extract will be able to elicit 50% of the adaptogenic activity to 50% of the population.
Previously done phytochemical tests show the presence of saponins, carbohydrates, proteins and amino acids, phenolic compounds, tannins, phytosterol and flavonoids in methanolic extracts of A. vulgaris leaves 22. The main constituents responsible for the antioxidant properties and thus the adaptogenic activity of the plant are flavonoids, tannins and saponins. This activity is due to their ability to reduce free radical formation and to remove the said unhealthy substances 23. Acute restraint stress caused an increase in blood glucose and cholesterol of the test animals. A decrease of these values was observed after administration of varying doses of the test suspension to the treated groups. Adjacent to these results is the study 24 that had reported the ability of saponins to lower blood cholesterol levels.
Another study to support the results is the hypoglycemic effect of terpenes 25. Flavonoids and Tannins would reduce plasma cholesterol levels by inhibiting LDL oxidation 26. Saponins act in the gastrointestinal tract to inhibit the rate of gastric emptying at the intestinal brush border membranes as its mechanism of action 27.
CONCLUSION: Leaf extract of Artemisia vulgaris Linn. Gilbas (1753) has the potential protective effect against stress.
ACKNOWLEDGEMENT: The researchers would like to express their gratitude to the following people who made contributions in the technical formation of this paper: Mrs. Yolanda C. Deliman, Mrs. Nelly Nonette M. Ouano, Mrs. Elizabeth Y. Tan, Mr. Jameross B. Tabiano, Mrs. Vanebth R. Camson, Mrs. Loujessa D. Arcelo, Mrs. Daisy C. Co. Also, we would like thank the University of San Carlos, Department of Pharmacy, School of Health Care Professions for the support in the conduct of this study.
CONFLICT OF INTEREST: The authors declare no known conflict of interest.
REFERENCES:
- Hoffman M. Hypothesis: Hyperhomocysteinemia is an indicator of oxidant stress. Med Hypotheses 2011; 77:1088 – 1093.
- Smith M, Segal R, Segal J. Stress Symptoms, Signs, & Causes. Help Guide. Retrieved, from http://www.helpguide. org/mental/stress_signs.htm. 2014
- Conrad CD. Chronic stress – induced hippocampal vulnerability: the glucocorticoid vulnerability hypothesis. Rev Neurosci 2008; 19:395 – 411.
- Gruner, TM. Acute and chronic stress.Journal of Complementary Medicine 2006; 5:12-25.
- Goyal M, Singh S, Sibinga EM, Gould NF, Rowland-Seymour A, Sharma R, Berger Z, Sleicher D, Maron DD, Shihab HM, Ranasinghe PD, Linn S, Saha S, Bass EB, Haythornthwaite JA. Meditation programs for psychological stress and well-being: a systematic review and meta-analysis. JAMA Intern Med 2014;174:357 – 368.
- Umukoro S, Ashorobi RB. Anti – stress potential of aqueous seed extract of Aframomum melegueta. African Journal of Biomedical Research 2005; 8:119 – 121.
- Chichioco – Hernandez CL, Paguigan ND. Phytochemical profile of selected Philippine plants used to treat asthma. Pharmacognosy journal 2010; 2:198 – 202.
- Adams JD, Garcia C, Garg G. Mugwort (Artemisia vulgaris, Artemisia douglasiana, Artemisia argyri) in the treatment of menopause, premenstrual syndrome, dysmenorrhea, and attention deficit hyperactivity disorder. Chinese medicine 2012; 3:116 – 123.
- Satyal P, Woods KE, Dosoky NS, Neupane S, Setzer WN. Essential oil constituents and biological activity of Aegle marmelos (L.). Corr Serr from Nepal. J Med Active Plants 2012; 1:114 – 122.
- Rahal A, Kumar A, Singh V, Yadav B, Tiwari R, Chakraborty S, Dhama K. Oxidative stress, prooxidants, and antioxidants: the interplay. BioMed Research International 2014; 761264
- Valko M, Leibfritz D, Moncol J et al. Free radicals and antioxidants in normal physiological functions and human disease. Int J Biochem Cell Biol 2007; 39:44 – 84.
- Kenjale RD, Shah RK, Sathaye SS. Antistress and anti – oxidant effects of root of Chlorphytum borivilianum. Indian J. Exp Biol 2007; 45:974 – 979.
- Chadda R, Davaud LL. Differential effects of mild repeated restraint stress on behaviours and GABAA receptors in male and female rats. Pharmacology Biochemistry and Behavior 2005; 81:854 – 863.
- Daniels WMU, de Klerk Uys J, Vuuren PV, Stein DJ. The development of behaviour and endocrine abnormalities in rats after repeated exposure to direct and indirect stress. Neuropsychiatr Dis Treat 2008; 4:451 – 464.
- Kalueff A. The grooming analysis algorithm discriminates between different levels of anxiety in rats: potential utility for neurobehavioral stress research. Journal of Neuroscience Methods 2005; 143:169 – 177.
- Kulkarni MP, Juvekar AR. Attenuation of acute and chronic restraint stress – induced perturbations in experimental animals by Nelumbo nucifera Indian J Pharm Sci 2008; 70: 327 – 332.
- Sumanth M, Mustafa SS. Antistress, adaptogenic activity of Sida cordifolia roots in mice. Indian J Pharm Sci 2009; 71:323 – 324.
- O’Donnell KC, Gould TD. The behavioural actions of lithium in rodent models. Neurosci Biobehav Rev 2007; 31:932 – 962.
- Faraji MJ, Preuschoff K, Gerstner W. Neuromodulation by surprise: a biologically plausible model of the learning rate dynamics. BMC Neuroscience 2014;15
- Gould TD, Dao DT, Kovacsics CE. The open field test. http://link.springer.com/protocol/10.1007%2F978-1-60761-303-9_1#page-1. 2009
- Moyaho A, Valencia J. Grooming and yawning trace adjustment to unfamiliar environments in laboratory Sprague – Dawley Rats (Rattus norvegicus). J Comp Psychol 2002; 116:263 – 269.
- Kumar AP, Kumud U. Preliminary phytochemical screening and physic – chemical parameters of aerial parts of Artemisia vulgaris. IJRAP 2010; 1:206 – 211.
- Pietta PG. Flavanoids as antioxidants. J Nat Prod 2000; 63:1035 – 1042.
- Melzig MF, Bader G, Loose R. Investigations of the mechanism of membrane activity of selected triterpenoid saponins. Planta Med 2001; 67:43 – 48.
- Li TH, Hou CC, Chang CLT, Yang WC. Anti – hyperglycaemic properties of crude extract and Triterpenes from Poria cocos. Evidence – based complementary and alternative medicine 2011; 128402.
- Baskaran G, Salvamani S, Ahmad SA, Shaharuddin NA, Pattiram PD, Shukor MY. HMG-CoA reducatse inhibitory activity and phytocomponent investigation of Basella alba lead extract as a treatment for hypercholesterolemia. Drug Des Devel Ther 2015; 9:509 – 517.
- Soumyanath A. Traditional Medicines for Modern Times: Antidiabetic plants. Taylor and Francis Group 2006.
How to cite this article:
Arce FJV, Hermogenes CGM, Prendol RMC and See GLL: Adaptogenic potential of Artemisia vulgaris linn. (1753) leaf extract on male albino rats. Int J Pharm Sci Res 2017; 8(2): 582-90.doi: 10.13040/IJPSR.0975-8232.8(2).582-90.
All © 2013 are reserved by International Journal of Pharmaceutical Sciences and Research. This Journal licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.
Article Information
13
582-590
595
1940
English
Ijpsr
F. Jr. Villester Arce *, C. G. Mistula Hermogenes, R. M. Caňete Prendol and G. Lee Lo See
Department of Pharmacy, School of Health Care Professions, University of San Carlos, Robert Hoeppener Building, Nasipit Talamban, Cebu City, Philippines.
florencio_arce@yahoo.com
29 July, 2016
21 September, 2016
26 September, 2016
10.13040/IJPSR.0975-8232.8(2).582-90
01 February, 2017