Skip to main content
BioTechnologia logoLink to BioTechnologia
. 2024 Sep 30;105(3):249–261. doi: 10.5114/bta.2024.141804

Investigation of CNS depressant and muscle relaxant effects of the ethnomedicinal plant Macropanax dispermus on Swiss Albino mice and its effect against oxidative stress

Syeda Rubaiya Afrin 1,§, Mohammad Rashedul Islam 1,§, Md Ashraful Alam 1,2, Ummah Tasnim Nisat 1,3, Bakul Akter 1, Mohammed Kamrul Hossain 1,*
PMCID: PMC11492893  PMID: 39439715

Abstract

Background and objective

Since plant-based natural drugs are widely accepted in modern times and possess numerous pharmacological effects with an extensive therapeutic range, an ethnomedicinal plant native to Bangladesh was selected to investigate for investigation of its various pharmacological effects. Macropanax dispermus has been traditionally used and has demonstrated numerous pharmacological effects in preclinical investigations. Therefore, this research aimed to assess the central nervous system (CNS) depressant and antioxidant activities of the crude methanol extracts of the stem barks (MDMS), leaves (MDML), and their different fractions.

Methods

The CNS depressant activity was assessed using the hole cross, rota-rod, and elevated plus maze tests on Swiss Albino mice, while the antioxidant activity was evaluated using the 2,2-diphenyl-1-picrylhydrazyl free radical, hydrogen peroxide (H2O2) nonradical scavenging, and ferric reducing power assays.

Results

The conducted assays successfully demonstrated that the chloroform fraction of MDML is a significantly (P < 0.001) effective CNS depressant, muscle relaxant, and anxiolytic agent with excellent antioxidative effects compared to standard and control. The aqueous fraction of MDML also acted as a significantly (P < 0.001) active CNS depressant and muscle relaxant, and it was a highly active ferric-reducing agent. All effects were dose and concentration-dependent.

Conclusion

The presence of various phytochemicals might contribute to these activities. However, further research is suggested to isolate their active compounds and evaluate their mechanisms of action.

Keywords: Macropanax dispermus, CNS depressant, muscle relaxant, anxiolytic, antioxidant

Introduction

Stress is one of the most common problems in the modern world, leading to a variety of psychiatric disorders such as depression, anxiety, epilepsy, schizophrenia, parkinsonism, and restlessness (Sheik et al., 2015). Most prescribed drugs for these disorders, including benzodiazepines, diazepam, zolpidem, zopiclone, and zaleplon, cause serious adverse effects. These can include tiredness, weight gain, nausea, dry mouth, sexual dysfunction, amnesia, sedation, headache, and wooziness (Sheik et al., 2014). Many anxiolytics, muscle relaxants, and sedatives work by depressing the central nervous system (CNS), with benzodiazepines being the most popular. Continuous use of these drugs can lead to addiction, confusion, aggression, excitement, anterograde amnesia, physical dependence, tolerance, and impaired cognitive functioning and psychomotor activity (Kumar and Sharma, 2006). Given these severe adverse effects, significant research has been conducted on various medicinal plants to find safe, effective, and natural treatments for CNS-related disorders.

Free radicals, produced in biological systems and introduced exogenously, can cause various degenerative diseases (Bhattacharya, 2015). Antioxidants combat these free radicals by impeding any of the three major steps of free radical-mediated oxidative processes: initiation, propagation, and termination (Polumbryk et al., 2013). If the balance between reactive oxygen species (ROS) or free radical production during metabolism and antioxidant defenses is lost, “oxidative stress” occurs (Chiurchiù et al., 2016). This stress deregulates cellular functions, leading to diseases such as diabetes mellitus, ischemia/reperfusion injury, inflammatory diseases, cancer, cardiovascular and neurodegenerative ailments, and aging (Valko et al., 2007). Treatment for these diseases is highly expensive and often comes with serious adverse effects. Since natural antioxidants have diverse biochemical activities – including inhibition of ROS, direct or indirect scavenging of free radicals, and alteration of intracellular redox potential – without side effects, they present a promising treatment option for oxidative stress-mediated chronic disorders (Garcia et al., 2012).

Herbal medicine is one of the most popular forms of nature-derived, plant-based traditional medicine, considered an inexpensive remedy for a variety of complicated diseases. Approximately 500 medicinal plants are described in ancient literature, and around 800 plants have been used in traditional medicine (Verma and Singh, 2008). Despite being an age-old system of medicine, its popularity continues to grow due to reduced toxicity and fewer side effects compared to allopathic or synthetic drugs. According to the World Health Organization (WHO), about 70–95% of the world’s population still relies on herbal medicine, especially in developing countries, for primary healthcare (Rahman et al., 2022). This trend is believed to be due to better cultural acceptability, compatibility with the human body, and fewer side effects. Therefore, the present research focuses on developing a medicinal plant-based remedy for anxiety, muscle spasms, sleep disorders, and oxidative stress-mediated diseases.

Macropanax dispermus, a tree from the Araliaceae family, is an ethnomedicinal plant commonly grown in evergreen forested areas. It is traditionally used by ethnic people of Thailand and Myanmar for treating digestion issues, postpartum bathing, eliminating waste matter, improving blood flow, cough, menopausal fever, and malarial fever (Ong et al., 2018; Panyaphu et al., 2011). Previous studies reported that its crude methanol extracts contain significant amounts of vitamin E, carotene, xanthophylls, tannins, phenolics, and the highest amount of vitamin C, determined using the β-carotene bleaching method (Chanwitheesuk et al., 2005). Additionally, previous investigations have found several phytochemicals, as well as thrombolytic, cytotoxic, analgesic, antipyretic, anti-inflammatory, and antiarthritic activities in MDML, its different fractions, and MDMS (Afrin et al., 2020; Afrin et al., 2021; Afrin et al., 2024). Considering its significant ethnomedicinal uses by tribal people and previously reported research, this study investigates its crude methanolic extracts and their fractions, such as n -hexane (MDHL), carbon tetrachloride (MDTL), chloroform (MDCL), ethyl acetate (MDEL), and aqueous fraction (MDAL), to explore its potential in treating anxiety, muscle spasms, and oxidative stress.

Materials and methods

Chemicals

Methanol, n -hexane, carbon tetrachloride, chloroform, ethyl acetate, and other chemicals used for extraction, solvent–solvent partitioning of plant materials, and in vitro and in vivo pharmacological tests were of laboratory grade (Merck, Germany).

Collection and identification of plants

The full-grown plant leaves and stem barks were collected in August 2018 from the Rangamati district (Chattogram Hill Tracts), Chattogram division of Bangladesh, with the assistance of a well-known local traditional healer. The plant was identified as M. dispermus by Dr. Shaikh Bokhtear Uddin, a renowned taxonomist and Professor in the Department of Botany at the University of Chittagong, Bangladesh. A specimen was preserved under herbarium no. sr20385.

Preparation of crude extracts

The plant materials (leaves and stem barks) were washed, cut into small pieces, and dried under semi-shaded sunlight for seven days. After drying, the leaves and stem barks were ground into powder (leaves: 1.36 kg; stem barks: 493 g) and soaked in 7.29 l and 2.60 l of methanol, respectively. After filtration, the filtrate was concentrated using a rotary evaporator (Stuart, UK) under reduced pressure at a temperature below 50°C. The final weights of the obtained crude methanol extracts of M. dispermus leaves and stem barks were 28.50 and 7.66 g, respectively. The percentage yield of the extract was calculated using the following equation (Mate et al., 2008):

Yieldofextracts[%]=WeightofextractWeightofpowder×100

The percentage yield of crude methanol extracts of M. dispermus leaves and stem barks were 2.09% and 1.55%, respectively.

Solvent-solvent partitioning

Crude methanol extracts of M. dispermus leaves underwent solvent – solvent partitioning according to the protocol designed by Kupchan and Tsou and a modified version by Wagenen et al., using the solvents n -hexane, carbon tetrachloride, chloroform, and ethyl acetate consecutively (Kupchan et al., 1973; VanWagenen et al., 1993).

Experimental animals

Male Swiss Albino mice weighing approximately 20–30 g were used for experimental purposes. They were housed in standard propylene cages and acclimatized under controlled conditions (room temperature of 25 ± 2°C, relative humidity of 60–70%) for 14 days and operated with a 12 h light/dark cycle. The mice were provided with a nutritionally adequate diet and drinking water ad libitum throughout the study. All segments of this report adhere to the ARRIVE Guidelines, version 1 (Kilkenny et al., 2010) for reporting animal research. All experiments were examined and approved by the ethical committee of the Department of Pharmacy, Faculty of Biological Sciences, University of Chittagong, Bangladesh under approval no. cc98056; 10/05/2018.

Acute toxicity study

An acute toxicity study was conducted following the previously described method (Al-Araby et al., 2020). Each group comprised five Swiss albino mice, which were fasted overnight before extract administration. Each group of animals was administered oral doses of 1000, 2000, 3000, and 4000 mg/kg of body weight of each extract. After the administration of plant extracts, they were restrained from food for a further 3–4 h. Each animal was observed for the first 30 min, then for the first 24 h, and thereafter for 3 days. The mice were monitored for any changes in the skin, fur, eyes, mucous membranes, respiration rate, circulatory rate, and central and autonomic nervous systems at least once a day. The effective dose was determined to be one-tenth of the median lethal dose (LD50).

Study design

During the evaluation of antioxidant activity using the DPPH scavenging assay, 5 mg of each extract was dissolved in 10 ml of methanol to prepare a stock solution of 500 μg/ml. These stock solutions were serially diluted to 250, 125, 62.5, 31.25, and 15.63 μg/ml with methanol. In the hydrogen peroxide scavenging assay and reducing power assay, distilled water was used for serial dilution instead of methanol, following the same procedure. For CNS depressant activity, 16 groups of mice were used for each investigation, with five mice in each group. Group I served as the control (1% Tween-80, 10 ml/kg), Group II received the standard treatment (Diazepam 1 mg/kg), and the remaining groups were administered MDMS, MDML, and their different extracted fractions at doses of 200 and 400 mg/kg. After each experimental period, all treated mice were sacrificed using diethyl ether anesthesia.

CNS depressant activity

Hole cross test

The experiment was conducted using a previously reported method (Hussain et al., 2012). After administering the test samples to each group of mice, they were placed in the hole cross apparatus (dimensions: 30 × 20 × 14 cm, hole size: 7.5 × 3 cm) and allowed to move through the hole from one chamber to another spontaneously. The number of passages was recorded before the treatment and at 30, 60, 90, and 120 min after the treatment for 3 min. The percentage inhibition of movements was calculated using the following formula:

Movementsinhibition[%]=No.ofmovement(contr.)  No.ofmovement(test)No.ofmovement(contr.)×100

Rota-rod test

The rota-rod test was performed using a rota-rod apparatus consisting of a circular, horizontal nonslippery rotating rod turning at a constant or increasing speed (20 RPM), according to the procedure (Bohlen et al., 2009). Each group of mice was trained one day before the experiment. Mice that could remain on the rotating rod for 180 s or longer were selected. After 30 min of the administration of test samples, each group of mice was placed on the rod for 180 s, and the falling time for each mouse from the rotating rod was recorded. The percentage reduction in falling time was calculated as follows:

Reductioninfallofftime[%]=ABA×100

Here, A – fall off time pretreatment, B – fall off time posttreatment.

Elevated plus maze test

The study was conducted according to a previously reported method (Emon et al., 2020). After 30 min of administration of test samples, each animal was placed in the center of the maze, with its head facing towards the open arm, and the following parameters were recorded for 3 min: 1) the first preference of the mouse to the open or closed arm, 2) the number of entries into the open and closed arms, and 3) the time each animal spent in the open and closed arms. These observations were recorded for each animal in each group and compared (SK 2009).

Antioxidant activity

DPPH scavenging assay

The 2,2-diphenyl-1-picrylhydrazyl (DPPH) free radical scavenging activity of the prepared test samples was measured according to a previously described method with slight modifications (Bitalebi et al., 2019). The working solution was prepared by diluting a 0.004% w/v DPPH solution with methanol to obtain an absorbance of about 0.98 ± 0.02 at 517 nm using a UV-Vis spectrophotometer. A 3 ml portion of this solution was mixed with 2 ml of the prepared DPPH solution as the negative control, ascorbic acid (AA) as the positive control, and the test samples at different concentrations (15.63–500 μg/ml), followed by incubation in the dark for 30 min at room temperature. Then, the absorbance was measured at 517 nm using a UV–Vis spectrophotometer. The percentage of DPPH scavenging activity was calculated using the following equation:

Scavengingeffect(DPPH)[%]=AbsorbanceofcontrolAbsorbanceofsampleAbsorbanceofcontrol×100

Hydrogen peroxide scavenging assay

The hydrogen peroxide scavenging assay was conducted using a previously described method with slight modifications (Al-Amiery et al., 2015). A 2 mM hydrogen peroxide (H2O2) solution was prepared in 50 mM phosphate buffer (pH 7.4), and its concentration was determined at 230 nm using a UV–Vis spectrophotometer. Aliquots of 0.1 ml of 50 mM phosphate buffer without H2O2 served as the negative control, AA as the positive control, and test samples at different concentrations (15.63–500 μg/ml) were mixed with 50 mM phosphate buffer (pH 7.4) up to 0.4 ml. After adding 0.6 ml of the hydrogen peroxide solution, the mixtures were vortexed, and the absorbance of hydrogen peroxide at 230 nm was determined after 10 min, against a blank solution. The ability to scavenge hydrogen peroxide was calculated using the following equation (Gülçin et al., 2004):

Scavengingeffect(H2O2)[%]=AbsorbanceofcontrolAbsorbanceofsampleAbsorbanceofcontrol×100

Reducing power assay

The reducing power assay was conducted based on the principle of transforming Fe (III) to Fe (II) in the presence of test samples (Li et al., 2020). Two milliliters of test samples at different concentrations (15.63–500 μg/ml) were mixed with 2 ml of phosphate buffer (0.2 M, pH 6.6) and 2 ml of 1% potassium ferricyanide. The mixture was incubated at 50°C for 20 min, followed by the addition of 2 ml of 100 mg/l trichloroacetic acid. The mixture was then centrifuged at 3000 rpm for 10 min. The collected upper layer was mixed with 2 ml of distilled water and 0.4 ml of 0.1% w/v freshly prepared ferric chloride solution. After 10 min of reaction, the absorbance was measured at 700 nm. The percentage of reducing power was calculated using the following formula:

Reducingpower[%]=AbsorbanceofsampleAbsorbanceofcontrolAbsorbanceofsample×100

Determination of median inhibitory concentration (IC50)

The median inhibitory concentration (IC50) represents the concentration of the sample required to inhibit 50% of the DPPH and hydrogen peroxide after a certain exposure time. It was determined by the linear regression method by plotting the percentage of the scavenging effect against the corresponding logarithm of concentration. An approximate linear correlation was observed on the graph paper, and the concentration-scavenging data were transformed into a straight line using trend line fit linear regression analysis (Microsoft Excel, 2007); the IC50 was derived from the best-fit line obtained.

Statistical analysis

All the data were expressed as mean ± SEM (standard error of the mean). The results were analyzed statistically by one-way ANOVA followed by posthoc Dunnett’s test using “Statistical Package for Social Science” (SPSS, Version 16.0, IBM Corporation, NY). Results with *P < 0.05, **P < 0.01, and ***P < 0.001 were considered statistically significant compared to the control.

Results

CNS depressant activity

Hole cross test

In this test, a decrease in the movement of the mice through the hole indicates the gradual depression of the CNS. The present research demonstrated that the control did not significantly inhibit the movement of mice, whereas the Diazepam standard significantly inhibited movement from 46.67 to 94.74% (P < 0.001). MDAL exhibited a higher percentage of movement inhibition at both doses, with 28.33 to 91.23% (200 mg/kg) and 38.33 to 92.98% (400 mg/kg) at different time intervals. MDHL, MDTL, MDCL, and MDEL also significantly decreased the number of movements in a dose-dependent manner, demonstrating their potential as strong CNS depressant agents. MDMS was observed to show a lower percentage of movement inhibition at both doses, with 18.33 to 82.46% (200 mg/kg) and 45 to 84.21% (400 mg/kg) at different time intervals. All these results are shown in Table 1.

Table 1.

Screening of CNS depressant activity of MDML, its solvent fraction, and MDMS stem barks by calculating the mean number of movements of mice in hole cross test

Group Dose [mg/kg] Number of movements of mice (% inhibition of movements)
pretreatment 30 min 60 min 90 min 120 min
Control 13.4 ± 1.5 12 ± 1.41 11.4 ± 1.36 11.2 ± 1.16 11.4 ± 1.03
Diazepam 1 14.2 ± 1.77 6.4 ± 1.25* (46.67%) 3.6 ± 0.81*** (68.42%) 1 ± 0.32*** (91.07%) 0.6 ± 0.24*** (94.74%)
MDML 200 15 ± 1.22 7 ± 1.3* (41.67%) 5.4 ± 0.68*** (52.63%) 2.2 ± 0.37*** (80.36%) 1.4 ± 0.51*** (87.72%)
400 11.2 ± 1.2 5.4 ± 0.6** (55%) 4.2 ± 0.49*** (63.15%) 2.2 ± 0.2*** (80.36%) 1.2 ± 0.37*** (89.47%)
MDHL 200 12.6 ± 1.5 10.2 ± 1.43 (15%) 6.2 ± 0.97** (45.61%) 3.4 ± 0.87*** (69.64%) 1.6 ± 0.51*** (85.96%)
400 12 ± 0.95 7.6 ± 0.75 (36.67%) 5.4 ± 0.81*** (52.63%) 1.4 ± 0.6*** (87.5%) 1 ± 0.45*** (91.23%)
MDTL 200 14.8 ± 0.66 9 ± 0.89 (25%) 6.6 ± 0.24** (42.11%) 3.8 ± 0.49*** (66.07%) 3 ± 0.55*** (73.68%)
400 15.2 ± 1.16 7.2 ± 1.07 (40%) 4.8 ± 0.8*** (57.89%) 1.8 ± 0.58*** (83.93%) 1 ± 0.45*** (91.23%)
MDCL 200 13.6 ± 1.21 9.6 ± 1.36 (20%) 4.8 ± 0.97*** (57.89%) 3 ± 0.71*** (73.21%) 1.6 ± 0.51*** (85.96%)
400 15.6 ± 1.08 8 ± 1.41 (33.33%) 4.2 ± 0.97*** (63.16%) 1.2 ± 0.58*** (89.29%) 0.6 ± 0.24*** (94.74%)
MDEL 200 13.4 ± 1.21 9 ± 0.95 (25%) 6 ± 0.95*** (47.37%) 2.6 ± 0.51*** (76.79%) 1.8 ± 0.37*** (84.21%)
400 16.2 ± 1.53 8.6 ± 1.81 (28.33%) 3.6 ± 0.68*** (68.42%) 1 ± 0.55*** (91.07%) 0.6 ± 0.4*** (94.74%)
MDAL 200 16 ± 1.22 8.6 ± 1.03 (28.33%) 4.6 ± 0.98*** (59.65%) 2.2 ± 0.37*** (80.36%) 1 ± 0.45*** (91.23%)
400 16.2 ± 1.24 7.4 ± 1.12 (38.33%) 3.2 ± 0.87*** (71.93%) 1.8 ± 0.58*** (83.93%) 0.8 ± 0.37*** (92.98%)
MDMS 200 14.6 ± 1.82 9.8 ± 0.66 (18.33%) 6.6 ± 0.75** (42.11%) 3.6 ± 0.51*** (67.86%) 2 ± 0.45*** (82.46%)
400 13.6 ± 1.57 6.66 ± 0.93* (45%) 4.2 ± 0.73*** (63.16%) 2.4 ± 0.4*** (78.57%) 1.8 ± 0.58*** (84.21%)

MDML – crude methanol extract of M. dispermus leaves, MDHL – n -hexane fraction of crude methanol extract of M. dispermus leaves, MDTL – carbon tetrachloride fraction of crude methanol extract of M. dispermus leaves, MDCL – chloroform fraction of crude methanol extract of M. dispermus leaves, MDEL – ethyl acetate fraction of crude methanol extract of M. dispermus leaves, MDAL – aqueous fraction of crude methanol extract of M. dispermus leaves, MDMS – crude methanol extract of M. dispermus stem barks; results were expressed as mean ± SEM;

*

P < 0.05,

**

P < 0.01,

***

P < 0.001 were considered statistically significant compared to control

Rota-rod test

In this procedure, a muscle-relaxing agent will cause a decrease in the falling time of mice from the rota-rod as time passes. The current study showed that the control group exhibited a very low and gradual increase in the percentage reduction of falling time from the rotarod (0 to 5.16%), whereas the reference standard showed the highest and most gradual increase in the percentage reduction of falling time (81.56 to 94.82%) significantly (P < 0.001). MDAL significantly reduced the fall-off time from the rotarod (P < 0.001) at different time intervals, ranging from 72.96 to 83.26% at 200 mg/kg and from 84.75 to 95.61% at 400 mg/kg. These data are presented in Table 2. MDTL, MDCL, and MDEL were also found to significantly decrease the falling time from the rotarod, indicating a higher muscle relaxant effect (Fig. 1). MDMS exhibited the least muscle relaxant effect, with a reduction in falling time ranging from 10.18 to 37.99% (200 mg/kg) and from 10.67 to 48.47% (400 mg/kg).

Table 2.

CNS depressant activity of the investigated extracts of M. dispermus leaves and stem barks by using the rotarod test

Group Dose [mg/kg] Falling time of mice in seconds (% of reduction in falling time)
pretreatment 30 min 60 min 90 min 120 min
Control 180 ± 0 180 ± 0 (0%) 179.316 ± 1.42 (0.38%) 173.168 ± 1.14 (3.8%) 170.72 ± 1.11 (5.16%)
Diazepam 1 180 ± 0 33.188 ± 4.75*** (81.56%) 24.938 ± 6.17*** (86.15%) 13.928 ± 2.06*** (92.26%) 9.322 ± 0.65*** (94.82%)
MDML 200 180 ± 0 156.83 ± 6.84 (12.87%) 82.052 ± 4.95*** (54.42%) 68.08 ± 4.16*** (62.18%) 30.538 ± 1.4*** (83.03%)
400 180 ± 0 62.896 ± 5.08*** (65.06%) 53.238 ± 7.37*** (70.42%) 41.904 ± 4.92*** (76.72%) 29.602 ± 2.66*** (83.55%)
MDHL 200 180 ± 0 171.4 ± 4.25 (4.78%) 164.524 ± 6.73 (8.6%) 148.726 ± 7.67** (17.37%) 110. 226 ± 5.14*** (38.76%)
400 180 ± 0 170.542 ± 3.85 (5.25%) 147.83 ± 4.73** (17.87%) 127.822 ± 2.64*** (28.99%) 84.926 ± 3.18*** (52.82%)
MDTL 200 180 ± 0 58.83 ± 7.83*** (67.32%) 38.664 ± 7.01*** (78.52%) 31.92 ± 5.33*** (82.27%) 18.152 ± 2.5*** (89.92%)
400 180 ± 0 26.81 ± 6.52*** (85.11%) 23.444 ± 5.67*** (86.98%) 22.068 ± 5.34*** (87.74%) 11.02 ± 0.85*** (93.88%)
MDCL 200 180 ± 0 138.234 ± 7.9*** (23.2%) 124.478 ± 3.72*** (30.85%) 84.364 ± 6.35*** (53.13%) 61.662 ± 2.92*** (65.74%)
400 180 ± 0 33.84 ± 3.49*** (81.2%) 22.09 ± 4.19*** (87.72%) 13.67 ± 0.96*** (92.41%) 9.566 ± 0.45*** (94.69%)
MDEL 200 180 ± 0 157.214 ± 7.45 (12.66%) 131.798 ± 6.9*** (26.78%) 95.114 ± 7.78*** (47.16%) 72.014 ± 4.46*** (59.99%)
400 180 ± 0 65.706 ± 6.7*** (63.5%) 44.5 ± 4.43*** (75.28%) 36.974 ± 7.26*** (79.46%) 17.12 ± 1.83*** (90.49%)
MDAL 200 180 ± 0 48.67 ± 5.92*** (72.96%) 41.612 ± 4.74*** (76.88%) 33.548 ± 1.17*** (81.36%) 19.148 ± 1.8*** (89.36%)
400 180 ± 0 27.442 ± 2.25*** (84.75%) 20.558 ± 3.25*** (88.58%) 13.344 ± 2.7*** (92.59%) 9.698 ± 0.98*** (94.61%)
MDMS 200 180 ± 0 161.672 ± 5.72 (10.18%) 147.752 ± 5.61*** (17.92%) 117.032 ± 4.85*** (34.98%) 111.606 ± 4.87*** (37.99%)
400 180 ± 0 161.802 ± 6.24 (10.67%) 122.662 ± 2.76*** (31.85%) 109.154 ± 3.88*** (39.36%) 92.748 ± 0.9*** (48.47%)

MDML – crude methanol extract of M. dispermus leaves, MDHL – n -hexane fraction of crude methanol extract of M. dispermus leaves, MDTL – carbon tetrachloride fraction of crude methanol extract of M. dispermus leaves, MDCL – chloroform fraction of crude methanol extract of M. dispermus leaves, MDEL – ethyl acetate fraction of crude methanol extract of M. dispermus leaves, MDAL – aqueous fraction of crude methanol extract of M. dispermus leaves, MDMS – crude methanol extract of M. dispermus stem barks; results were expressed as mean ± SEM; *P < 0.05,

**

P < 0.01,

***

P < 0.001 were considered statistically significant compared to control

Fig. 1.

Fig. 1

Screening of CNS depressant activity of MDML, its solvent fraction and MDMS by calculating mean falling time of mice in rotarod; MDML – crude methanol extract of M. dispermus leaves, MDHL – n -hexane fraction of crude methanol extract of M. dispermus leaves, MDTL – carbon tetrachloride fraction of crude methanol extract of M. dispermus leaves, MDCL – chloroform fraction of crude methanol extract of M. dispermus leaves, MDEL – ethyl acetate fraction of crude methanol extract of M. dispermus leaves, MDAL – aqueous fraction of crude methanol extract of M. dispermus leaves, MDMS – crude methanol extract of M. dispermus stem barks; results were expressed as mean ± SEM; *P < 0.05, **P < 0.01, ***P < 0.001 were considered statistically significant compared to control

Elevated plus maze test

In this research, control mice entered the closed arm 12.8 ± 0.73 times, spent most of the experimental time in it (177.466 ± 0.69 s), and entered the open arm 0.8 ± ± 0.36 times, spending very little time there (0.406 ± ± 0.25 seconds). In contrast, the reference standard Diazepam, a highly active anxiolytic, showed the reverse results, entering the open arm 12.6 ± 0.75 times (61.896 ± ± 1.43 s) and the closed arm 5.4 ± 0.81 times (115.972 ± ± 1.35 s) significantly (Table 3). When compared to the control, MDCL demonstrated a higher number of entries and more time spent in the open arms but still spent a significant amount of time in the closed arms at both doses. MDTL and MDAL spent much less time in the open arm compared to other extracts and more time in the closed arm (Fig. 2).

Table 3.

CNS depressant activity of the investigated extracts of M. dispermus leaves and stem barks by using the elevated plus maze test

Group Dose [mg/kg] Open arm (OA) Closed arm (CA)
time spent no. of entries time spent no. of entries
Control 0.406 ± 0.25 0.8 ± 0.37 177.466 ± 0.69 12.8 ± 0.73
Diazepam 1 61.896 ± 1.43*** 12.6 ± 0.75*** 115.972 ± 1.35*** 5.4 ± 0.81***
MDML 200 19.246 ± 1.44*** 4.4 ± 0.51*** 151.718 ± 1.51*** 5 ± 0.45***
400 23.156 ± 2.63*** 5.4 ± 0.68*** 148.574 ± 1.46*** 5.2 ± 0.37***
MDHL 200 9.46 ± 3.27** 2.4 ± 0.51 166.624 ± 2.81*** 5.4 ± 0.4***
400 26.608 ± 0.98*** 4.6 ± 0.51*** 147.636 ± 1.45*** 4.2 ± 0.37***
MDTL 200 0.95 ± 0.9 0.8 ± 0.37 175.942 ± 1.54 4.2 ± 0.97***
400 8.328 ± 0.8** 3.4 ± 0.4* 165.75 ± 1.39*** 4.4 ± 0.51***
MDCL 200 21.846 ± 1.56*** 4.4 ± 0.68*** 155.478 ± 1.51*** 5.2 ± 0.37***
400 36.87 ± 0.97*** 6.6 ± 0.51*** 140.048 ± 0.65*** 4.2 ± 0.49***
MDEL 200 2.098 ± 0.57 1 ± 0.32 177.11 ± 0.88 5.6 ± 0.51***
400 54.62 ± 1.69*** 5.8 ± 0.58*** 120.546 ± 2.04*** 4.4 ± 0.51***
MDAL 200 2.396 ± 0.68 1.4 ± 0.4 174.818 ± 1.21 2.6 ± 0.24***
400 10.262 ± 1.09*** 5.8 ± 0.73*** 166.748 ± 1.58*** 2.4 ± 0.51***
MDMS 200 5.882 ± 1.46 2.2 ± 0.58 170.11 ± 1.4 4.6 ± 0.24***
400 33.722 ± 2.27*** 6.6 ± 0.75*** 143.254 ± 1.71*** 2.8 ± 0.37***

MDML – crude methanol extract of M. dispermus leaves, MDHL – n -hexane fraction of crude methanol extract of M. dispermus leaves, MDTL – carbon tetrachloride fraction of crude methanol extract of M. dispermus leaves, MDCL – chloroform fraction of crude methanol extract of M. dispermus leaves, MDEL – ethyl acetate fraction of crude methanol extract of M. dispermus leaves, MDAL – aqueous fraction of crude methanol extract of M. dispermus leaves, MDMS – crude methanol extract of M. dispermus stem barks; results were expressed as mean ± SEM;

*

P < 0.05,

**

P < 0.01,

***

P < 0.001 were considered statistically significant compared to control

Fig. 2.

Fig. 2

Screening of anxiolytic activity of MDML, its solvent fraction, and MDMS by counting the mean number of entries of mice into the open and closed arms on the elevated plus maze

Antioxidant activity

DPPH scavenging assay

In this assay, MDCL, MDEL, and MDML showed IC50 values of 0.35, 8.41, and 67.75 μg/ml, respectively, indicating higher antioxidant activity compared to other extracts and the standard (IC50 value of 0.02 μg/ml). MDTL had the highest IC50 value of 49082.26 μg/ml, thus possessing the lowest capability to inhibit free radical-mediated oxidation (Table 4).

Table 4.

Antioxidant activity of the investigated extracts of M. dispermus leaves and stem barks by using DPPH scavenging assay

Group Equation R2 IC50 [μg/ml]
Control
Standard (AA) y = 10.41x + 68.39 R 2 = 0.980 0.02
MDML y = 17.27x + 18.38 R 2 = 0.985 67.75
MDHL y = 29.84x − 22.87 R 2 = 0.916 276.71
MDTL y = 11.79x − 5.306 R 2 = 0.890 49082.26
MDCL y = 14.05x + 56.43 R 2 = 0.944 0.35
MDEL y = 19.07x + 32.36 R 2 = 0.892 8.41
MDAL y = 8.249x + 25.96 R 2 = 0.951 820.90
MDMS y = 24.00x − 2.814 R 2 = 0.857 158.70

AA – ascorbic acid, MDML – crude methanol extract of M. dispermus leaves, MDHL – n -hexane fraction of crude methanol extract of M. dispermus leaves, MDTL – carbon tetrachloride fraction of crude methanol extract of M. dispermus leaves, MDCL – chloroform fraction of crude methanol extract of M. dispermus leaves, MDEL – ethyl acetate fraction of crude methanol extract of M. dispermus leaves, MDAL – aqueous fraction of crude methanol extract of M. dispermus leaves, MDMS – crude methanol extract of M. dispermus stem bark

Hydrogen peroxide scavenging assay

In this method, MDTL, MDCL, and MDEL exhibited higher antioxidant activity compared to other extracts and the standard (IC50 value 1.09 μg/ml), with IC50 values of 80.17, 112.53, and 160.83 μg/ml, respectively. MDMS had the highest IC50 value of 48655.24 μg/ml, indicating the least antioxidant activity (Table 5).

Table 5.

Antioxidant activity of the investigated extracts of M. dispermus leaves and stem barks by using hydrogen peroxide scavenging assay

Group Equation R2 IC50 [μg/ml]
Control
Standard (AA) y = 14.89x + 49.46 R 2 = 0.969 1.09
MDML y = 22.25x − 21.48 R 2 = 0.876 1631.49
MDHL y = 29.62x − 33.51 R 2 = 0.885 659.75
MDTL y = 33.54x − 13.86 R 2 = 0.992 80.17
MDCL y = 37.06x − 26.02 R 2 = 0.915 112.53
MDEL y = 37.88x − 44.57 R 2 = 0.9 313.74
MDAL y = 51.46x − 63.54 R 2 = 0.907 160.83
MDMS y = 10.80x − 0.621 R 2 = 0.952 48655.24

AA – ascorbic acid, MDML – crude methanol extract of M. dispermus leaves, MDHL – n -hexane fraction of crude methanol extract of M. dispermus leaves, MDTL – carbon tetrachloride fraction of crude methanol extract of M. dispermus leaves, MDCL – chloroform fraction of crude methanol extract of M. dispermus leaves, MDEL – ethyl acetate fraction of crude methanol extract of M. dispermus leaves, MDAL – aqueous fraction of crude methanol extract of M. dispermus leaves, MDMS – crude methanol extract of M. dispermus stem bark

Reducing power assay

In this method, a higher percentage of reducing capacity indicates higher antioxidant activity of an extract. The standard showed the highest antioxidant activity with a reducing power ranging from 92.48 to 94.44%, in a concentration-dependent manner. MDTL (76.33–90.52%), MDCL (2.44–84.62%), and MDAL (2.44–77.78%) exhibited higher antioxidant activity compared to other extracts and the standard, in a concentration-dependent manner. MDML and MDMS showed the lowest reducing capacity, with the higher concentration of the sample exhibiting 16.67% reducing power (Table 6).

Table 6.

Antioxidant activity of the investigated extracts of M. dispermus leaves and stem barks by using reducing power assay

Group Percent of reducing power [%] Group Percent of reducing power [%]
Control Control
AA (500 μg/ml) 94.44 MDCL (500 μg/ml) 84.62
AA (250 μg/ml) 94.04 MDCL (250 μg/ml) 42.03
AA (125 μg/ml) 93.7 MDCL (125 μg/ml) 41.18
AA (62.5 μg/ml) 93.32 MDCL (62.5 μg/ml) 31.03
AA (31.25 μg/ml) 92.88 MDCL (31.25 μg/ml) 21.57
AA (15.63 μg/ml) 92.48 MDCL (15.63 μg/ml) 2.44
MDML (500 μg/ml) 16.67 MDEL (500 μg/ml) 53.49
MDML (250 μg/ml) 14.89 MDEL (250 μg/ml) 42.86
MDML (125 μg/ml) 9.09 MDEL (125 μg/ml) 42.03
MDML (62.5 μg/ml) 4.76 MDEL (62.5 μg/ml) 20
MDML (31.25 μg/ml) 2.44 MDEL (31.25 μg/ml) 13.04
MDML (15.63 μg/ml) 0 MDEL (15.63 μg/ml) 4.76
MDHL (500 μg/ml) 71.22 MDAL (500 μg/ml) 77.78
MDHL (250 μg/ml) 55.06 MDAL (250 μg/ml) 28.57
MDHL (125 μg/ml) 45.95 MDAL (125 μg/ml) 16.67
MDHL (62.5 μg/ml) 45.3 MDAL (62.5 μg/ml) 9.1
MDHL (31.25 μg/ml) 39.4 MDAL (31.25 μg/ml) 6.98
MDHL (15.63 μg/ml) 27.27 MDAL (15.63 μg/ml) 2.44
MDTL (500 μg/ml) 90.52 MDMS (500 μg/ml) 16.67
MDTL (250 μg/ml) 89.9 MDMS (250 μg/ml) 16.67
MDTL (125 μg/ml) 89.25 MDMS (125 μg/ml) 14.89
MDTL (62.5 μg/ml) 88.76 MDMS (62.5 μg/ml) 13.04
MDTL (31.25 μg/ml) 87.84 MDMS (31.25 μg/ml) 9.1
MDTL (15.63 μg/ml) 76.33 MDMS (15.63 μg/ml) 4.76

AA – ascorbic acid, MDML – crude methanol extract of M. dispermus leaves, MDHL – n -hexane fraction of crude methanol extract of M. dispermus leaves, MDTL – carbon tetrachloride fraction of crude methanol extract of M. dispermus leaves, MDCL – chloroform fraction of crude methanol extract of M. dispermus leaves, MDEL – ethyl acetate fraction of crude methanol extract of M. dispermus leaves, MDAL – aqueous fraction of crude methanol extract of M. dispermus leaves, MDMS – crude methanol extract of M. dispermus stem bark

Discussion

Herbal medicine has always paved the way for toxicity-free, effective natural remedies for various complicated diseases. The ethnomedicinal plant M. dispermus was selected to study its various pharmacological effects. Previous research identified several phytochemicals and various pharmacological effects in MDML, its different fractions, and MDMS, prompting this research to assess its efficacy as a CNS depressant, muscle relaxant, anxiolytic agent, and antioxidant (Afrin et al., 2020; Afrin et al., 2021).

The CNS depressant activity of the plant extracts was explored by estimating locomotion, muscle relaxation or motor coordination activity, and anxiolytic activity using three different methods. In the hole cross test, a mouse was allowed to cross through a hole from one chamber to another on a specially constructed apparatus. The number of movements of mice at different time intervals indicated the locomotor activity. A decrease in locomotion specified the CNS depressant activity of an extract. MDAL, MDHL, MDTL, MDCL, and MDEL significantly decreased the number of movements of mice in a dose-dependent manner compared to the control, suggesting their effectiveness as CNS depressant agents, while MDMS showed the least effectiveness in this method.

In the Rota-rod test, the reduction in falling time of mice from the rotating rod of the designated apparatus due to loss of grip implies skeletal muscle relaxation. This effect also indicates an induced neurological deficit, including a calming effect, which further depicts its CNS depressant effect. In this study, MDAL, MDTL, MDCL, and MDEL were researched to decrease the fall-off time of mice from the apparatus compared to the control. Hence, they could act as potential muscle-relaxing agents. Among all the extracts, MDMS was found to be the least potent muscle-relaxing agent.

In the EPM test, natural stimuli (fear of a novel open space and fear of balancing on a relatively narrow, raised platform) are used to induce anxiety in mice (Dawson and Tricklebank, 1995). The increase in the time spent in the OA and the number of entries into the OA were indices of increased motor activity, hence the anxiolytic effect. In the present research, MDCL demonstrated a higher number of OA entries with significantly increased time spent in the OA compared to the control and standard. Therefore, it could act as a potential anxiolytic agent. On the contrary, MDTL and MDAL illustrated a smaller number of OA entries with less time spent in the OA compared to the control. All of their activities were dose-dependent.

In the current study, the antioxidant activity was assessed using three different methods to justify the antioxidant capacity of different extracts. DPPH is a stable free radical at room temperature and accepts an electron or hydrogen radical to become a stable diamagnetic molecule (Franyoto et al., 2018). This capability was used to evaluate the antioxidant activity of the plant extracts, and the reaction of the sample with DPPH in methanol facilitated the extraction of antioxidant compounds from the sample. In the H2O2 scavenging assay, the antioxidant compounds in the extracts acted as catalase to donate electrons to a stable, nonradical oxidant H2O2 and neutralize it into water. Another method used the capability of the antioxidant compounds in extracts to reduce the ferric cyanide complex (Fe3+) to the ferrous cyanide form (Fe2+). The ROS scavenging method dictated that a lower IC50 value is an indicator of higher DPPH and H2O2 scavenging capacity, hence higher antioxidant activity.

In the current study, MDCL, MDEL, and MDML were observed to be potent free radical scavengers, whereas MDTL had almost no potential to scavenge the free radicals compared to the standard and other extracts. In contrast, MDTL was an effective H2O2 scavenger with a higher reducing capacity than the standard. MDCL and MDEL showed higher H2O2 scavenging effects, while MDMS showed almost no H2O2 scavenging effect or ferric-reducing capacity. MDCL and MDAL were also found to be effective reducing agents. All of these extracts demonstrated their effects in a concentration-dependent manner.

However, in the case of CNS depressant activity, since the standard Diazepam acts by directly activating the gamma-aminobutyric acid (GABA) receptor, it can be predicted that the investigated CNS depressant agents might act by potentiating GABAergic inhibition in the CNS via membrane hyperpolarization or by directly activating the GABA receptors. Several reports have demonstrated that plants and plant extracts rich in alkaloids, glycosides, and flavonoids possess CNS depressant properties, mediated through their affinity (in vitro ) with the benzodiazepine site of the GABAergic complex system, or as direct or indirect modulators of this receptor (Awad et al., 2009; Estrada-Reyes et al., 2010; Fernández et al., 2004; Kahnberg et al., 2002; Trofimiuk et al., 2005). Additionally, nonspecific CNS depression can also be attributed to tannins (Takahashi et al., 1986). Therefore, the presence of flavonoids and glycosides might contribute to the CNS depressant activity of MDCL and MDAL.

In addition, the antioxidant activities of assumed antioxidants have been recognized to operate through various mechanisms, including the prevention of chain initiation, binding of transition metal ion catalysts, decomposition of peroxides, prevention of continued hydrogen abstraction, and radical scavenging (Diplock, 1997). Hence, it can be suggested that there is no linear correlation among free radical scavenging, H2O2 scavenging, and/or reducing power activity. Thus, although MDTL exhibited no free radical scavenging activity, it did show H2O2 scavenging and reducing power activity.

Conclusion

In conclusion, MDCL was observed to be a potential CNS depressant, muscle relaxant, and anxiolytic agent. It is also an effective antioxidant, capable of acting through both radical and nonradical scavenging mechanisms or by reducing Fe3+ to Fe2+. MDEL is an effective DPPH and H2O2 scavenger, while MDAL is solely an effective reducing agent. Both extracts, MDEL and MDAL, are potential CNS depressants and muscle relaxants. Since MDCL, MDEL, and MDAL exhibit both antioxidant and CNS depressant effects, it is possible that these extracts could be potential drugs for the treatment of oxidative stress-induced neurodegenerative diseases. Further research must be conducted to isolate and identify the active compounds in the investigated extracts and elucidate their possible mechanisms of action using a reasonable kinetic model.

Conflict of interest

The authors declare that they have no conflict of interest.

Author contribution

Mohammed Kamrul Hossain designed the experiments, developed the concept, and supervised the research work. Syeda Rubaiya Afrin collected the plant material, performed the pharmacological assays and statistical analysis, and drafted the manuscript. Ummah Tasnim Nisat and Bakul Akter contributed to performing the pharmacological analysis. Mohammad Rashedul Islam assisted with the statistical analysis and writing of the manuscript. Mohammad Rashedul Islam and Md. Ashraful Alam critically revised the manuscript, provided timely assistance, and gave the final approval for the submission of the revised version. All authors read and approved the final version of the manuscript.

References

  1. Afrin S.R., Islam M.R., Khanam B.H., Proma N.M., Didari S.S., Jannat S.W., Hossain M.K. (2021) Phytochemical and pharmacological investigations of different extracts of leaves and stem barks of Macropanax dispermus (Araliaceae): a promising ethnomedicinal plant. Futur. J. Pharmaceut. Sci. 7: 1–13. [Google Scholar]
  2. Afrin S.R., Islam M.R., Proma N.M., Shorna M.K., Akbar S., Hossain M.K. (2020) Quantitative screening of phytochemicals and pharmacological attributions of the leaves and stem barks of Macropanax dispermus (Araliaceae) in treating the inflammation and arthritis. J. Herbmed. Pharmacol. 10: 75–83. [Google Scholar]
  3. Afrin S.R., Islam M.R., Didari S.S., Jannat S.W., Nisat U.T., Hossain M.K. (2024) Investigation of hypoglycemic and antidiarrheal activity on mice model and in vitro anthelmintic study of Macropanax dispermus (Blume) Kuntze (Araliaceae): a promising ethnomedicinal plant. J Herbmed. Pharmacol. 13: 482–490. [Google Scholar]
  4. Al-Amiery A.A., Al-Majedy Y.K., Kadhum A.A.H., Mohamad AB (2015) Hydrogen peroxide scavenging activity of novel coumarins synthesized using different approaches. PLoS One 10(7): e0132175. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Al-Araby S.Q., Rahman M.A., Chowdhury M.A.H., Das R.R., Chowdhury T.A., Hasan C.M.M., Afroze M., Hashem M.A., Hajjar D., Alelwani W. (2020) Padina tenuis (marine alga) attenuates oxidative stress and streptozotocin-induced type 2 diabetic indices in Wistar albino rats. S. Afr. J. Bot. 128: 87–100. [Google Scholar]
  6. Awad R., Ahmed F., Bourbonnais-Spear N., Mullally M., Ta C.A., Tang A., Merali Z., Maquin P., Caal F., Cal V. (2009) Ethnopharmacology of Q’eqchi’Maya antiepileptic and anxiolytic plants: effects on the GABAergic system. J. Ethnopharmacol. 125: 257–264. [DOI] [PubMed] [Google Scholar]
  7. Bhattacharya S. (2015) Reactive oxygen species and cellular defense system. Free radicals in human health and disease. Springer, New Delhi: 17–29. [Google Scholar]
  8. Bitalebi S., Nikoo M., Rahmanifarah K., Noori F., Gavlighi H.A. (2019) Effect of apple peel extract as natural antioxidant on lipid and protein oxidation of rainbow trout (Oncorhynchus mykiss) mince. Int. Aquat. Res. 11: 135–146. [Google Scholar]
  9. Bohlen M., Cameron A., Metten P., Crabbe J.C., Wahlsten D (2009) Calibration of rotational acceleration for the rotarod test of rodent motor coordination. J. Neurosci. Methods 178: 10–14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Chanwitheesuk A., Teerawutgulrag A., Rakariyatham N. (2005) Screening of antioxidant activity and antioxidant compounds of some edible plants of Thailand. Food Chem. 92: 491–497. [Google Scholar]
  11. Chiurchiù V., Orlacchio A., Maccarrone M. (2016) Is modulation of oxidative stress an answer? The state of the art of redox therapeutic actions in neurodegenerative diseases. Oxidat. Med. Cell Longev. 2016: 7909380. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Dawson G.R., Tricklebank M.D. (1995) Use of the elevated plus maze in the search for novel anxiolytic agents. Trends Pharmacol. Sci. 16: 33–36. [DOI] [PubMed] [Google Scholar]
  13. Diplock A.T. (1997) Will the ‘good fairies’ please prove to us that vitamin E lessens human degenerative disease? Free Radic. Res. 27: 511–532. [DOI] [PubMed] [Google Scholar]
  14. Emon N.U., Kaiser M., Islam M., Kabir M.F.I., Jamir M., Uddin M.A.J., Islam M.N. (2020) Anxiolytic and thrombolytic investigation of methanol extract of Piper nigrum L. fruits and Sesamum indicum L. seeds. J. Adv. Biotechnol. Exp. Ther. 3: 158–164. [Google Scholar]
  15. Estrada-Reyes R., López-Rubalcava C., Rocha L., Heinze G., Esquinca A.R.G., Martínez-Vázquez M. (2010) Anxiolyticlike and sedative actions of Rollinia mucosa: possible involvement of the GABA/benzodiazepine receptor complex. Pharmaceut. Biol. 48: 70–75. [DOI] [PubMed] [Google Scholar]
  16. Fernández S., Wasowski C., Paladini A.C., Marder M. (2004) Sedative and sleep-enhancing properties of linarin, a flavonoid-isolated from Valeriana officinalis. Pharmacol. Biochem. Behavior. 77: 399–404. [DOI] [PubMed] [Google Scholar]
  17. Franyoto Y.D., Kusmita L., Angrena R.D. (2018) Total flavonoid content and formulation antioxidant cream stem of jatropha multifida l. J. Phys. Conf. Ser. 1025(1): 012130. [Google Scholar]
  18. Garcia E.J., Oldoni T.L.C., Alencar S.M.D., Reis A., Loguercio A.D., Grande R.H.M. (2012) Antioxidant activity by DPPH assay of potential solutions to be applied on bleached teeth. Braz. Dent. J. 23: 22–27. [DOI] [PubMed] [Google Scholar]
  19. Gülçin I., Küfrevio™lu Ö.İ., Oktay M., Büyükokuro™lu M.E. (2004) Antioxidant, antimicrobial, antiulcer and analgesic activities of nettle (Urtica dioica L.). J. Ethnopharmacol. 90: 205–215. [DOI] [PubMed] [Google Scholar]
  20. Hussain J., Rehman N.U., Hussain H., Al-Harrasi A., Ali L., Rizvi T.S., Ahmad M. (2012) Analgesic, anti-inflammatory, and CNS depressant activities of new constituents of Nepeta clarkei. Fitoterapia 83: 593–598. [DOI] [PubMed] [Google Scholar]
  21. Kahnberg P., Lager E., Rosenberg C., Schougaard J., Camet L., Sterner O., Nielsen E.Ø., Nielsen M., Liljefors T. (2002) Refinement and evaluation of a pharmacophore model for flavone derivatives binding to the benzodiazepine site of the GABAA receptor. J. Med. Chem. 45: 4188–4201. [DOI] [PubMed] [Google Scholar]
  22. Kilkenny C., Browne W.J., Cuthill I.C., Emerson M., Altman D.G. (2010) Improving bioscience research reporting: the ARRIVE guidelines for reporting animal research. PLoS Biol 8(6): e1000412. 10.1371/journal.pbio.1000412 [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Kumar S., Sharma A. (2006) Apigenin: the anxiolytic constituent of Turnera aphrodisiaca. Pharmaceut. Biol. 44: 84–90. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Kupchan S.M., Tsou G., Sigel C.W. (1973) Datiscacin, a novel cytotoxic cucurbitacin 20-acetate from Datisca glomerata. J. Org. Chem. 38: 1420–1421. [DOI] [PubMed] [Google Scholar]
  25. Li G., Ding K., Qiao Y., Zhang L., Zheng L., Pan T., Zhang L. (2020) Flavonoids regulate inflammation and oxidative stress in cancer. Molecules 25: 5628. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Mate G.S., Naikwade N.S., Magdum C.S., Chowki A.A., Patil S.B. (2008) Evaluation of anti-nociceptive activity of Cissus quadrangularis on albino mice. Int. J. Green Pharm. 2: 118–212. [Google Scholar]
  27. Ong H.G., Ling S.M., Win T.T.M., Kang D.H., Lee J.H., Kim Y.D. (2018) Ethnobotany of wild medicinal plants used by the Müün ethnic people: a quantitative survey in southern Chin state, Myanmar. J. Herb. Med. 13: 91–96. [Google Scholar]
  28. Panyaphu K., On T.V., Sirisa-Ard P., Srisa-Nga P., Chansa-Kaow S., Nathakarnkitkul S. (2011) Medicinal plants of the Mien (Yao) in Northern Thailand and their potential value in the primary healthcare of postpartum women. J. Ethnopharmacol. 135: 226–237. [DOI] [PubMed] [Google Scholar]
  29. Polumbryk M., Ivanov S., Polumbryk O. (2013) Antioxidants food systems. Mechanism of action. Ukrain. J. Food Sci. 1(1): 15–40. [Google Scholar]
  30. Rahman M.H., Roy B., Chowdhury G.M., Hasan A., Saimun M.S.R. (2022) Medicinal plant sources and traditional healthcare practices of forest-dependent communities in and around Chunati Wildlife Sanctuary in southeastern Bangladesh. Environ. Sustainabil. 5: 207–241. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Sheik H.S., Vedhaiyan N., Singaravel S. (2014) Evaluation of central nervous system activities of Citrus maxima leaf extract on rodents. J. App. Pharmaceut. Sci. 4: 77. [Google Scholar]
  32. Sheik H.S., Vedhaiyan N., Singaravel S. (2015) Evaluation of central nervous system activities of Cyperus rotundus L. extract on rodents. Curr. Res Neurosci. 5: 10–19. [Google Scholar]
  33. Gupta S.K. (2009) Drug sreening methods: preclinical evaluation of new drugs. Jaypee Brothers, New Delhi. [Google Scholar]
  34. Takahashi R.N., de Lima T.C.M., Morato G.S. (1986) Pharmacological actions of tannic acid. II. Evaluation of CNS activity in animals. Planta. Med. 52: 272–275. [DOI] [PubMed] [Google Scholar]
  35. Trofimiuk E., Walesiuk A., Braszko J.J. (2005) St John's wort (Hypericum perforatum) diminishes cognitive impairment caused by the chronic restraint stress in rats. Pharmacol. Res. 51: 239–246. [DOI] [PubMed] [Google Scholar]
  36. Valko M., Leibfritz D., Moncol J., Cronin M.T.D., Mazur M., Telser J. (2007) Free radicals and antioxidants in normal physiological functions and human disease. Int. J. Biochem. Cell Biol. 39: 44–84. [DOI] [PubMed] [Google Scholar]
  37. VanWagenen B.C., Larsen R., Cardellina J.H., Randazzo D., Lidert Z.C., Swithenbank C. (1993) Ulosantoin, a potent insecticide from the sponge Ulosa ruetzleri. J. Org. Chem. 58: 335–337. [Google Scholar]
  38. Verma S., Singh S.P. (2008) Current and future status of herbal medicines. Vet. World 1(11): 347–350. [Google Scholar]

Articles from BioTechnologia are provided here courtesy of Institute of Bioorganic Chemistry Polish Academy of Sciences

RESOURCES