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. 2025 Feb 28;2025:1244498. doi: 10.1155/adpp/1244498

Aqueous and Ethanol Extracts of Acacia sieberiana (Fabaceae) Stem Bark Reverse the Pain–Depression Dyad in Mice Through Modulation of Catecholamines, Proinflammatory Cytokines, and Oxidative Stress

Sorelle Ngassam Mbankou 1, Aliance Romain Fokoua 1, Cedric Wamba Koho 1, Roger Hermann Sadie Foguieng 1, Sahar Mofidi Tabatabaei 2, Pamela Arielle Nono Nankam 1, Kevin Joseph Tidgewell 2, Télesphore Benoît Nguelefack 1,✉
PMCID: PMC11991813  PMID: 40225229

Abstract

Rationale and Objective: The pain–depression dyad is highly prevalent and has reciprocal psychological and behavioral effects, leading to poor quality of life, increased disability, and challenging therapeutic outcomes. In an attempt to find better substances that can target pain–depression comorbidity, we examined the effect of aqueous (AE) and ethanol (EE) extracts from Acacia sieberiana (A. sieberiana) stem bark on reserpinized mice (female and male Swiss albino mice aged 2-3 months).

Methods: The dyad was induced with 3 injections (Days 1–3) of reserpine (1 mg/kg/day, s.c.). Then, animals were treated (Days 4–8) with plant extracts (25, 50 and 100 mg/kg/day, p.o.) or L-tryptophane (100 mg/kg/day, i.p.). Pain-like (tactile and cold allodynia) and depression-like (pole, tail suspension, and force swimming tests) behavioral parameters were evaluated on Days 4 and 8. On Day 9, animals were sacrificed for the quantification of acetylcholinesterase activity, oxidative stress parameters, total catecholamines, dopamine, serotonin, IL-1β, and TNF-α levels in the brain or spinal cord. IL-1β and TNF-α were also assayed in the serum. The acute toxicity and phytochemical analysis of EE were conducted.

Results: Reserpine-induced tactile and cold allodynia, depression-like behavior, increased serum IL-1β and TNF-α, brain acetylcholinesterase activity, and decreased catecholamine concentration were all reversed by AE and EE. Plant extracts significantly increased dopamine levels and reduced oxidative stress in the brain and/or spinal cord. No significant effect was observed on brain serotonin and TNF-α. EE elicited the best pharmacological activity and was nontoxic. LC–MS/MS molecular networking phytochemical analysis identified 5 compounds with high certainty including piperine, aurantiamide acetate, and asperphenamate.

Conclusion: AE and EE are effective against pain and depression. Their pharmacological activities might be related to the modulation of inflammation, oxidative stress and catecholamine, and the presence of bioactive natural products.

Keywords: Acacia sieberiana, catecholamine, cytokines, depression, oxidative stress, pain

1. Introduction

Pain is an unpleasant sensory and emotional experience associated with or resembling that associated with actual or potential tissue damage [1]. It is a major public health problem that negatively affects patients' quality of life. The global prevalence of unspecified pain in adults is estimated to be 27.5% [2]. A large number of literature references have largely demonstrated the sex difference in pain prevalence, with women being almost twice as affected as men [3, 4]. Pain is usually associated with psychiatric comorbidities such as depression, one of the most widespread mental illnesses worldwide. Depression is a multifactorial neuropsychiatric condition characterized by feelings of sadness, void sensation, anhedonia, sleep and appetite disturbances, and physical and cognitive changes lasting at least 2 weeks [5–7]. It affects 33.7% of the world's general population [8], and it is 50% more prevalent in women than in men [9, 10]. Biological and physiological factors, including genetics and phenotypic neural, psychological, and hormonal as well as social and cultural features, may contribute to sex differences in pain [11] and depression [12]. The two pathologies coexist in almost 80% of patients [13], and their relationship is bidirectional, as they can induce each other. In fact, it has been reported that chronic pain often induces depression, and 85% of patients reporting chronic pain issues also suffer from severe depression [14–16], while over 75% of depressed patients manifest painful physical symptoms [17]. These disorders significantly impair a person's ability to perform daily tasks and psychosocial functions [18].

To elucidate the comorbidity of pain and depression, relevant studies have demonstrated that patients with chronic pain have consistently been found to have lower levels of serotonin and low levels of norepinephrine and dopamine in plasma [19]. In addition, it has been reported that chronic pain can autonomously contribute to the pathogenesis of depression by increasing the level/expression of proinflammatory cytokines such as IL-1β, IL-6, and tumor necrosis factor α (TNF-α) [20]. Indeed, cumulative evidence from preclinical and clinical studies suggests that increases in peripheral blood inflammatory biomarkers [21] and neuroinflammation are key factors that trigger the neurobiological correlates of depression, including depletion of brain serotonin, dysregulation of the hypothalamus–pituitary–adrenal (HPA) axis, and neuronal degeneration in the hippocampus [22, 23]. In addition, the oxidative stress that accompanies pain and depression activates glial cells, which release proinflammatory cytokines (TNF-α and IL-1β), chemokines, and neurotoxic substances such as NO in the central nervous system (CNS) [24, 25]. This further amplifies the decrease in plasma tryptophan and brain serotonin to initiate or maintain depression [26, 27]. Moreover, previous studies have shown that the direct activation of cholinergic receptors or extension of endogenous acetylcholine action via pharmacological blockade of acetylcholine esterase reduces pain in rodents as well as in humans [28–30]. On the other hand, the authors in [31] showed a significant increase in acetylcholinesterase (AChE) activity in the brains of mice with depressive phenotypes and a positive correlation between AChE and superoxide anion (O2•−) levels associated with depressive behaviors.

It is obvious that pain and depression share not only comorbidities but also a number of physiopathological pathways and neurotransmitters. This fact would have normally facilitated the management of the comorbidity. However, the management of the comorbidity of pain remains challenging because the treatment should modify physiological, behavioral, and psychological processes that maintain the vicious cycle between pain and depression. Moreover, the sex difference in pain and depression is not limited only to the prevalence. It also involves the response to treatment. It has been shown that females respond to serotonergic antidepressants better than males [32]. Gender differences in pharmacological therapy and nonpharmacological pain interventions have also been reported [3]. Therefore, pain–depression management requires the search for new adequate and efficient medications that also consider gender. Plants seem to be good alternatives because they are rich in a variety of secondary metabolites with numerous pharmacological properties.

Acacia sieberiana (A. sieberiana) is a plant used empirically in the African pharmacopeia as rheumatic and joint pains' medicine, anti-inflammatory, antidiarrheal, and against stomachache, syphilis, liver disease, fever, tiredness, epilepsy, and mental ailments [33–35]. Pharmacological studies have shown that A. sieberiana has anti-hepatotoxic effects in rats [36] and antidiarrheal [37], antibacterial [33] and anticholinesterase activities [38]. Phytochemical studies have shown the presence of secondary metabolites such as saponins, tannins, cardiac glycosides, steroidal rings, resins, triterpenes, flavonoids, alkaloids and carbohydrates [35, 36]. Taken together, and given the actual traditional usage of A. sieberiana against pain, inflammation and mental ailment, we hypothesized that extract from A. sieberiana might be effective in the management of the pain–depression dyad. Consequently, the present work was undertaken to assess the therapeutic effect of the aqueous (AE) and ethanol (EE) extracts of this plant using a mouse model of pain–depression induced by reserpine. Attempts were made to evaluate the sex difference in the therapeutic effect of the plant extracts as well as the acute toxicity of EE.

2. Materials and Methods

2.1. Chemicals

Reserpine was purchased from Merck (Germany). TNF-α and IL-1β ELISA kits were purchased from R&D Systems (Germany). A serotonin ELISA kit was purchased from Abcam (United Kingdom). L-tryptophan (Cat# Art-NR 1739.1), tetramethyl benzidine, silver nitrate (Cat# Art-Nr.7908.1), sodium carbonate (Cat# BDH92284-500G), potassium carbonate (Cat# BDH9256-500G), tris buffer (Cat# Art-Nr 0188.4), potassium dichromate (Cat# 7778-50-9-500G), and sodium acetate trihydrate (Cat# 6131-90-4-1KG) were purchased from ROTH (Germany). 2,4-Dinitrophenylhydrazine (DNP) hydrochloride (Cat# EC No 259-888-5) was purchased from Tokyo Chemical Industry (United States of America). Acetylthiocholine (A5751-5G), potassium periodate (PPI) (Cat# 210056-100G), trichloroacetic acid (Cat# T6399-100G), orthophosphoric acid (Cat# 7664-38-2), thiobarbituric acid (Cat# T5500-100G), adrenaline (Cat# E4250-5G), hydrogen peroxide (Cat# Art-Nr 9681.1), glacial acetic acid (Cat# 64-19-7), 5,5′-dithiobis-2-nitrobenzoic acid (Cat# D8130-10G), trisodium citrate acid (Cat# 68-04-2), naphtylethylene diamine dihydrochloride (Cat# 222488-25G), sulfanilamide (Cat# S9251-500G), and sodium nitrate (Cat# 237213-5G) were purchased from Sigma-Aldrich (Germany).

2.2. Animals

Female and male Swiss albino mice (20–30 g), aged 2-3 months, were obtained from the animal facility of the Research Unit of the Neuroinflammatory and Cardiovascular Pharmacology of the Department of Animal Biology at the University of Dschang. They were housed in plastic cages in groups of 5 with food and water available ad libitum. The temperature was controlled at 24 ± 2°C, humidity at 50%–60%, and an approximately 12:12 h light-dark cycle. Mice were grouped and acclimated to the laboratory conditions for at least 2 weeks before the start of the experiment. All animal procedures were performed in agreement with the ethical rules of animal care described by the European Committee Guidelines 86/609/EEC and validated by the department committee (Department of Animal Biology, Faculty of Science 025/13/304FSa). The sample size was calculated using the E method. Cages and animals were labeled to avoid confounders.

2.3. Plant Material, Extraction, and Phytochemical Profiling

2.3.1. Extraction

A. sieberiana materials were collected in Meiganga in the Mbéré division, Adamaoua Region, Cameroon, in January 2019 and used for the identification of the plant at the national herbarium where a voucher specimen was deposited under reference 58943/HNC. Fresh barks were shade-dried and ground for extract preparation. Aqueous extraction was performed by decoction of 125 g of powder in 1 L of distilled water for 6 h at 60°C. The resulting filtrate was dried, weighed, and stored in the dark at −2°C. The extraction yield was 5.52%. The EE was obtained by macerating 625 g of powder in 5 L of ethanol for 48 h with occasional stirring. The filtrate obtained was then concentrated in a rotary evaporator, with an extraction yield of 3.65%.

2.3.2. Phytochemical Profiling

LC–MS/MS molecular networking was conducted using the GNPS2 platform [39, 40]. In brief, chromatography was performed on a Shimadzu DGU-20A 3R system coupled to a SCIEXT Q-TOF 56000 mass spectrometer and equipped with a dual spray electrospray ionization source. MS data were acquired in both positive and negative ion modes over the 100–1200 m/z range using a survey scan method allowing simultaneous acquisition of MS and MS/MS data for the sample. The sample (EE) was prepared in methanol at 3 mg/mL and 20 μL was injected for each LC–MS/MS analysis run. Molecular networking and data visualization were performed using the online libraries from the GNPS2 website (https://gnps2.org). A summary of the spectral data is in the Supporting file and publicly available on GNPS2 using the Task ID numbers.

2.4. Experimental Protocol

The doses of the extracts used in this study were obtained from the combination of traditional practices and our preliminary studies. The dose of L-tryptophan was chosen based on data from the literature [41]. The induction of the pain–depression dyad was performed using the protocol described by [42] with slight modifications.

The baseline reaction to von Frey hair was measured in 100 mice (sex ratio) on Day 0, and 90 of them were selected based on their baseline reaction and divided into two sets, A (10 mice) and B (80 mice). The mice in Sets A and B received subcutaneous injections of normal saline with 1% DMSO or reserpine (at a final dose of 1 mg/kg, dissolved in 1% DMSO) respectively, for three consecutive days (Days 1–3). On Day 4, a second baseline reaction in the von Frey test was taken. Set A constituted the naïve group (Group 1) and was treated daily with distilled water (extracts' vehicle), while Set B was subdivided using stratified randomization into 8 groups of 10 animals each (5 females and 5 males) and treated as follows: Group 2 (disease control) received distilled water; Group 3 (reference) received L-tryptophan (100 mg/kg/d, i.p.); Groups 4, 5, and 6 were treated orally with AE at doses of 25, 50, and 100 mg/kg, respectively; and groups 7, 8, and 9 received EE orally at doses of 25, 50, and 100 mg/kg. Treatments were given on a daily basis for 5 consecutive days (Days 4–8) (Figure 1). All pain-like (tactile and cold allodynia) and depression-like (pole test, forced swimming test [FST], and tail suspension test [TSTs]) behavioral tests were performed on Day 4 to test the effect of a single administration and on Day 8 to evaluate the effect of repeated administration of treatments (Figure 1).

Figure 1.

Figure 1

Experimental design to assess the effects of Acacia sieberiana extracts on pain–depression dyad induced by reserpine in mice.

On Day 9, animals were anesthetized with diazepam (1 mg/kg) and ketamine (5 mg/kg) via intraperitoneal injections. Blood samples were collected through the retro-orbital sinus with capillary tubes. The collected blood was centrifuged at 3000 rpm, and the serum obtained was stored at −80°C for the cytokine assay. After blood collection, mice were rapidly dissected, brain and spinal cord were removed and immediately homogenized (10%, w/v) in ice-cold Tris buffer (10 mM, pH 7.4), cold (4°C) centrifuged for 15 min at 10,000 rpm, and the supernatants were collected and stored at −80°C. The supernatant was used for the determination of nitric oxide (NO), malondialdehyde (MDA), superoxide dismutase (SOD), and glutathione (GSH). The catalase (CAT), catecholamines, dopamine, serotonin and AChE contents or activities were estimated only in the brain.

To evaluate the sex-related difference in treatment response in all parameters, we calculated the percentage change of the effect versus the control group according to the equation as follows:

% change=Vc−VtVc×100 or Vt−VcVc×100,depending on the direction of variation, (1)

where Vc is the value of the control group and Vt is the value of the test group.

The acute toxicity study was performed according to the WHO [43] protocol using the most active extract.

2.5. Pain-Like Behavioral Tests

To assess the antinociceptive potentials of the plant extracts, two protocols were used: the tactile allodynia test, which assesses mechanical pain sensation, and the acetone test, which measures cold allodynia. These behavioral experiments were performed by trained evaluators in blinded protocols.

2.5.1. Tactile Allodynia

This test was performed according to the protocol previously described by [44]. Mice were placed in individual plastic cages with floor metal mesh and acclimated for 1 h. Tactile allodynia was determined by assessing the 50% left hind paw withdrawal threshold (PWT) to tactile stimuli using a series of von Frey filaments of increasing forces (Stoelting Co., Wood Dale, Illinois, United States of America) through the up and down method. In line with this paradigm and considering mice as animal subjects, testing series were initiated with the 0.008 g hair and whether ascending or descending, stimuli were always presented in a consecutive fashion. As such, the immediate stronger stimulus was presented in the absence of a paw withdrawal response to the initially selected hair. In the event of paw withdrawal, the next weaker stimulus was chosen. The test was stopped when one hair filament and its immediate stronger filaments induced negative and positive responses, respectively, in two consecutive testing. A positive response was defined as an immediate withdrawal of the hind paw. The Chaplan table was used to determine the 50% withdrawal threshold as described by Chaplan et al. [44]. According to Dixon's method, the optimal threshold calculation by this method requires 6 responses in the immediate vicinity of the 50% threshold. Thus, the pattern used for calculation was made of 6–9 responses, where X refers to withdrawal (positive response) and 0 refers to no withdrawal (negative response). The 50% response threshold was interpolated using the following formula:

50% g threshold=10Xf+kδ10,000, (2)

where Xf is the value (in log units) of the final von Frey hair used, k is the tabular value for the pattern of positive/negative responses, and δ is the mean difference (in log units) between stimuli (here, it is 0.224). This test was performed 1 hour after the oral administration of the plant extracts.

2.5.2. Cold Allodynia

The acetone test measures aversive behaviors triggered by cooling generated by the evaporation of a drop of acetone applied to the medial area of the hind paw and is considered a measure of cold allodynia [45]. Acetone (50 μL) was applied to the left paw of each animal. The outcome measured was the time the animal spent lifting, licking, flicking, or biting the left hind paw after each application. This test was performed 2 h after the oral administration of plant extracts.

2.6. Depression-Like Behavioral Tests

Three tests were used to evaluate the antidepression effect of EE. The three experiments (pole test, TST, and FST) were video recorded, and the videos were analyzed with Any-maze software to generate row data.

2.6.1. Pole Test

To assess the depression-like behavior in mice, we performed the pole test using a modified method of [46]. The procedure evaluates the ability of a mouse to grasp and maneuver on a pole to descend to its flat surface. A vertical steel pole with a rough surface (55 cm high and 1 cm in diameter) was placed in the home cage. Mice were placed at 5 cm to the top of the pole with their heads facing upward. The time spent orienting down (t-turn) and descending the pole (t-descend) was measured over a 5-min period. The animal was given the maximal time (5 min) if he failed to turn or to move down the pole. This test was performed 3 h after oral administration of the plant extracts.

2.6.2. TST

The TST is widely used to assess antidepressant activity in mice. It is based on the fact that animals subjected to inescapable short-term stress, namely, being suspended by the tail, develop an immobile posture. The total duration of immobility throughout the TST was measured as described by Can et al. [47]. In brief, mice were suspended 55 cm above the ground with tape placed approximately 2 cm from the tip of their tail. After 2 min of acclimation, the test was recorded for a period of 4 min. Mice were considered immobile only when they were passively suspended and completely immobile. This test was performed 4 h after oral administration of the plant extracts.

2.6.3. FST

The FST was conducted as described by [48]. This test was performed on mice, who were individually forced to swim in an open container (width 20 cm, height 30 cm) containing 15 cm of water at 26 ± 1°C. After 2 min of acclimatization, the immobility time was recorded for 5 min. Immobility time was the time spent by the mice floating in the water without struggling, making only movements necessary to keep the head above water. A decrease in immobility time indicated a reduction in depression-related behavior. The test was carried out 5 h after treatment with the plant extracts.

2.7. Assay of Biochemical Parameters

To understand the mechanisms by which AE and EE could induce behavioral changes in animals, a number of biochemical parameters that are affected during pain and depression conditions were assayed, including total catecholamine, dopamine, serotonin, inflammatory cytokines (IL-1β and TNF-α), AChE activity, and oxidative stress.

2.7.1. Total Catecholamine Assay

Brain's total catecholamine content was assessed using the protocol described by [49] with minor modifications. In the reaction medium, 100 μL of TMB solution (1 mM), 50 μL of AgNO3 solution (3 mM), 340 μL of NaAc buffer (0.2 M, pH 5.0), and 10 μL of homogenate or catecholamine were sequentially added. Subsequently, the mixture was incubated for 5 min at room temperature, and the absorbance was measured at 652 nm on a spectrophotometer. The concentration of catecholamine was determined using the dopamine standard curve.

2.7.2. Determination of the Dopamine Level

Dopamine is the principal catecholamine that at a low level is associated with depressive disorder. The measurement of dopamine levels in the brain was performed according to the method described by [50] with slight modifications. The method is based on the coupling of dopamine with a diazonium salt to produce an intensely colored azo derivative. DNP was oxidized with PPI to produce a diazonium salt that was coupled with dopamine in a basic medium. Thus, to 100 μL of DNP (0.5 mM in sulfuric acid), 100 μL of PPI (0.65 mM in distilled water), 50 μL of NaOH (1 M, in distilled water), and 10 μL of supernatant or dopamine were added. The mixture was vortexed, and the absorbance was measured at 560 nm against a blank. The concentration of dopamine was determined based on a dopamine standard curve.

2.7.3. Assay of Oxidative Stress Parameters

To assess the oxidative status of the animals after treatment, brain and spinal cord homogenates were used. MDA was assessed using the method described by [51]. The SOD activity assay was measured according to the protocol described by [52]. The method of Sinha [53] was used to determine the CAT activity in the brain. The GSH concentration was measured as described by [54]. The NO assay was conducted as described by [55] using the Griess reagent. The concentration of nitrite in the tissue homogenates was calculated using a NaNO2 standard curve.

2.7.4. Estimation of Serotonin, TNF-α, and IL-1β

Serotonin concentrations in the brain (Abcam) and TNF-α and IL-1β levels (R&D Systems) in the serum and brain of mice were determined using commercial ELISA kits following the manufacturer's instructions.

2.7.5. Determination of AChE Activity

The determination of AChE was performed according to the method of [56] with some modifications. In brief, 100 μL of DTNB (0.01 M in Tris 0.1 M, pH 7.4) was mixed with 100 μL of the supernatant. The reaction was started by adding 50 μL of acetylthiocholine iodide (0.05 M). The absorbance was measured at 405 nm every minute for 3 min against a blank. Enzyme activity was calculated using the extinction coefficient = 1.36 ⨯ 104.

2.8. Acute Toxicity Assessment

The acute toxicity study was performed according to the protocol in [43]. Prior to the experiment, animals were checked for well-being and fasted for 12 h. They were further divided into five groups of 10 mice (5 males and 5 females) treated as follows: the control group was treated with distilled water, and the other four groups received a single administration of EE at doses of 200, 600, 1800 and 5400 mg/kg. The doses were selected as multiples of the effective dose, with one above the high limit of nontoxic (5000 mg/kg) fixed by WHO. Animals were then observed for 1 h after administration for any behavioral changes. The locomotor activity of each animal was investigated at 1 h postadministration using the open field test [57, 58]. They were video recorded and analyzed using ANY-maze software. Subsequently, the mortality, body mass, fecal status, and general appearance of the mice were recorded once a day for 14 days.

2.9. Statistical Analysis

The results are expressed as the mean ± standard error of the mean (SEM). Statistical analyses were performed using GraphPad Prism software Version 8.4.2. The variance homogeneity was assessed by Spearmann's rank correlation. The normality of data was tested using Shapiro–Wilk and Kolmogorov–Smirnov tests. Where data were not normally distributed, a log transformation was performed. Intergroup variation was measured with one-way analysis of variance (ANOVA) followed by Dunnett's posttest or two-way repeated-measures ANOVA followed by Dunnett's multiple comparison posttest. For longitudinal data, we assumed no sphericity and directly applied Greenhouse–Geisser correction. For the sex-related response to treatment, data from all treated animals were normalized as a percentage of their respective sex in the disease control group. For repeated measurements, the area under the curve (AUC) was used for extract or sex comparison. The multiple t-test (Holm–Sidak method) was used to analyze differences between the two extracts or the two sexes at the same dose of the extracts. No data points were excluded during analyses. Statistical significance was considered at p < 0.05.

3. Results

3.1. Phytochemical Profiling

The phytochemical analysis was conducted using LC–MS/MS molecular networking of the ethanol extract of Acacia sieberiana. Analysis of the extract shows strong evidence for the presence of 5 compounds, including alkaloids (piperine and piperolein B), carboxylic esters (asperphenamate and aurantiamide acetate), and an enniatin compound beauvericin (Supporting file (available here)). There is also evidence for the presence of a number of flavonoids (5,6,2′-trimethoxyflavone, apigenin, hydnocarpin, and 6,3′-dihydroxyflavone) (supporting file (available here)); however, since this was a bark extract, they are in low amounts and so their presence is not absolutely verified (Figure 2).

Figure 2.

Figure 2

Compounds identified in the ethanol extract of stem bark of Acacia sieberiana through LC–MS/MS molecular networking.

3.2. A. sieberiana Extracts Reduced Tactile Allodynia

Reserpine injection into mice resulted in a significant increase in tactile allodynia compared to that in the naïve group. The administration of AE and EE significantly reversed this tactile allodynia on Day 4 at the highest doses for AE (69.14% reversion) and on Day 8 of treatment at all doses of both extracts. Maximal reductions of 76.90% and 62.00% in allodynia were observed with AE at a dose of 100 mg/kg and EE at 25 mg/kg, respectively (Figures 3(a) and 3(b)). The AUC showed no significant difference between the effects of the two extracts (Figure 3(c)). As presented in Figure 3(d), male mice showed a better response to the analgesic effect of both AE and EE. Significant differences (p < 0.01) were observed with AE at the dose of 25 mg/kg and EE at the doses of 50 and 100 mg/kg.

Figure 3.

Figure 3

Aqueous and ethanol extracts of A. sieberiana stem bark reversed tactile allodynia measured with von Frey hairs in reserpinized mice (a) and (b) Δ 50% PWT (g) of mice in different groups during 8 days of the experiment for AE and EE, respectively, (c) area under the curve representing the difference between the two extracts at the same dose, and (d) sex effect of percentage change in VFT from the control group. n = 10 (5 females + 5 males). ⁣∗∗p < 0.01 and ⁣∗∗∗p < 0.001 show a significant difference compared to the naïve group. $p < 0.05, $$p < 0.01, and $$$p < 0.001 show a significant difference compared to the control group (two-way ANOVA with Dunnett's multiple comparisons posttest). ββp < 0.01 shows a significant difference between females and males at the same dose (multiple t-test and Holm–Sidak method). AE: aqueous extract; EE: ethanol extract; L-trypt: L-tryptophan; PWT: pain withdrawal threshold.

3.3. A. sieberiana Extracts Reversed Cold Allodynia

Animals from the control group developed cold allodynia after the injection of reserpine. The reaction time was significantly high on Days 4 (p < 0.01) and 8 (p < 0.05) of the experimental period. The single administration (Day 4) or repeated treatment (Day 8) with both AE and EE significantly reversed the reserpine-induced allodynia (Figures 4(a) and 4(b)). The global analysis using the AUC showed a significant (p < 0.001) effect of both extracts at all the doses used, with no significant difference between the two extracts (Figure 4(c)). However, male mice proved to be highly sensitive (p < 0.05 to p < 0.001) to the treatment compared to females (Figure 4(d)).

Figure 4.

Figure 4

Aqueous and ethanol extracts of A. sieberiana stem bark reversed acetone-induced cold allodynia in reserpinized mice: (a and b) pain-like reaction time of mice in different groups during 8 days of the experiment for AE and EE, respectively, (c) area under the curve representing the difference between the two extracts at the same dose, and (d) sex-dependent response to plant extract treatment. n = 10 (5 females + 5 males). ⁣∗p < 0.05, ⁣∗∗p < 0.01, and ⁣∗∗∗p < 0.001 show a significant difference compared to the naïve group. $p < 0.05, $$p < 0.01, and $$$p < 0.001 show a significant difference compared to the control group (one-way ANOVA with Dunnett multiple comparisons posttest). βp < 0.05, ββp < 0.01, and βββp < 0.001 indicate significant differences between females and males at the same dose of the same extract (multiple t-test and Holm–Sidak method). AE: aqueous extract; EE: ethanol extract; L-trypt: L-tryptophan.

3.4. A. sieberiana Extracts Mitigated Depression-Like Behavior in the Pole Test

The pole test was performed on Days 4 and 8 of the experimental period to evaluate the antidepressant effects of the plant extracts. As depicted in Figure 5, reserpine treatment significantly increased the t-time (turn time on the bar) (p < 0.05) and the d-time (descend time on the bar) compared to the naïve group. The single administration (Day 4) of AE and EE failed to reduce the effect of reserpine. However, a significant difference (p < 0.01) was observed between the effects of AE and EE at a dose of 100 mg/kg (Figures 5(a) and 5(e)).

Figure 5.

Figure 5

Aqueous and ethanol extracts of A. sieberiana stem bark reduced turn and descending times in reserpinized mice: (a and c) turn time of mice in different groups at 4 and 8 days of the experiment, (e and g) descent time of mice at 4 and 8 days of the experiment, (b and d) sex effect on the percentage change in turn time compared to the control, and (f and h) sex effect percentage change in descent time to control. n = 10 (5 females + 5 males). ⁣∗p < 0.05 and ⁣∗∗p < 0.01 show a significant difference compared to the naïve group. $p < 0.05 and $$p < 0.01 show a significant difference compared to the control group (one-way ANOVA with Dunnett's multiple comparisons posttest). ##p < 0.01 shows a significant difference between the two extracts at the same dose (multiple t-test and Holm–Sidak method). βp < 0.05, ββp < 0.01, and βββp < 0.001 indicate significant differences between females and males at the same dose (multiple t-test and Holm–Sidak method). AE: aqueous extract; EE: ethanol extract; L-trypt: L-tryptophan; t-time: turn time; d-time: descending time.

After repeated treatment with the plant extracts, both extracts reduced the t-time, but the effect of AE was not dose-dependent. AE (50 mg/kg) and EE (100 mg/kg) significantly reduced the turn time by 34.83% (p < 0.05) and 38.86% (p < 0.01), respectively, when compared to the control (Figure 5(c)). Only AE at a dose of 50 mg/kg significantly (p < 0.05) reduced the d-time by 33.09% (Figure 5(g)).

In general, females showed the best responses to the treatment both after a single treatment and repeated administration (Figures 5(b), 5(d), 5(f), and 5(h)).

3.5. A. sieberiana Reduced Immobility in TST But Not in FST

In the FST, immobility was assessed as a sign of depression in animals treated with reserpine alone or with plant extracts. The results are reported in Figure 6. Reserpine injection induced a significant (p < 0.01) increase in immobility time over the 8 days of the experiment. Neither the single administration nor the repeated treatment affected the evaluated parameter (Figures 6(a) and 6(c)).

Figure 6.

Figure 6

Aqueous and ethanol extracts of A. sieberiana stem bark reduced immobility time in the TST but not in the FST in reserpinized mice: (a and c) FST immobility time in different groups on Days 4 and 8 of the experimental period, (e and g) TST immobility time in different groups of mice on Days 4 and 8 of the experiment, respectively, (b and d) sex-dependent response in the FST and (f and h) sex-dependent response in the TST. n = 10 (5 females + 5 males). ⁣∗∗p < 0.01 and ⁣∗∗∗p < 0.001 show a significant difference compared to the naïve group. $p < 0.05, $$p < 0.01, and $$$p < 0.001 show a significant difference compared to one-way ANOVA with Dunnett's multiple comparisons posttest. AE: aqueous extract; EE: ethanol extract; L-trypt: L-tryptophan; FST: forced swim test; TST: tail suspension test.

With regard to the TST, the immobility time in reserpine-treated animals was significantly higher than that in naïve animals on Days 4 (p < 0.01) and 8 (p < 0.001) (Figures 6(e) and 6(g)). This was, however, significantly reduced by EE at a dose of 50 mg/kg on Day 4 (p < 0.05) (Figure 6(e)) and in a dose-dependent manner by A. sieberiana extracts on Day 8 (p < 0.01; p < 0.001) (Figure 6(g)). No significant difference was observed between the effects of the two extracts or in the sex-dependent response to the plant extract treatment (Figures 6(f) and 6(h)).

3.6. A. sieberiana Extracts Reversed Total Catecholamine Depletion in the Brain But Not Serotonin

As depicted in Figure 7(a), reserpine administration resulted in a significant (p < 0.001) decrease in total catecholamine levels in the brains of mice compared to the naïve group. Interestingly, both plant extracts at all doses reversed this effect and significantly (p < 0.001) increased the level of total catecholamine. The maximal effect was obtained at a dose of 25 mg/kg. Sex comparison showed better activity in female mice, with a significant difference at the dose of 100 mg/kg for AE and at 25 mg/kg for EE (Figure 7(b)).

Figure 7.

Figure 7

Aqueous and ethanol extracts of A. sieberiana stem bark reversed the drop in brain catecholamines but not serotonin content in reserpinized mice: (a) brain concentration of catecholamines after 8 days of the experiment, (c) brain concentration of dopamine after 8 days of the experiment, (b and d) sex-related response to A. sieberiana extracts in brain concentrations of catecholamine and dopamine, and (e) brain concentration of serotonin in females after 8 days of the experiment. n = 10 (5 females + 5 males). ⁣∗∗∗p < 0.001 shows a significant difference compared to the naïve group. $p < 0.05, $$p < 0.01, and $$$p < 0.001 show a significant difference compared to the control group (one-way ANOVA with Dunnett's multiple comparisons posttest). #p < 0.05 significant difference between the two extracts at the same dose (multiple t-test and Holm–Sidak method). βp < 0.05, ββp < 0.01, and βββp < 0.001 indicate significant differences between females and males at the same dose (multiple t-test and Holm–Sidak method). AE: aqueous extract; EE: ethanol extract; L-trypt: L-tryptophan.

The dopamine concentration in the animals' brains did not change after treatment with reserpine. However, the dose of 50 mg/kg EE increased dopamine levels by 53.04% (p < 0.05) compared to the diseased control (Figure 7(c)). A strong sex difference was observed with AE at all doses tested and with EE at the dose of 25 mg/kg (Figure 7(d)).

The brain concentration of serotonin was evaluated only in females. Reserpine injection significantly (p < 0.01) reduced the brain's serotonin content, but plant extracts were unable to significantly reverse this effect (Figure 7(e)).

3.7. Effect of A. sieberiana Extracts on Oxidative and Nitrosative Stress

To evaluate the total oxidation level in the brain, we quantified tissue MDA levels. Compared to the naïve group, MDA levels were not significantly increased in the brain and spinal cord in reserpine-treated mice (Table 1). Nevertheless, EE significantly (p < 0.01) decreased MDA concentrations in the brain (dose 25 mg/kg) and spinal cord (50 mg/kg) by 27.91% and 40.37%, respectively. EE was also significantly more effective in reducing MDA than AE (Table 1).

Table 1.

Effect of aqueous and ethanol extracts of Acacia sieberiana on oxidative stress parameters and nitrite oxide in brain and spinal cord tissues.

  Treatment MDA (μmol/g tissue) SOD (U/mg protein) CAT (H2O2/mg protein/min) GSH (μmol/g tissue) NO (μmol/g tissue)
Brain Naïve 10.36 ± 0.24 2.70 ± 0.29 49.08 ± 2.01 147.97 ± 14.82 7.43 ± 0.76
Control 9.96 ± 0.36 3.56 ± 0.23 48.77 ± 3.39 144.70 ± 11.22 16.20 ± 3.40⁣∗∗∗
L-trypt 100 mg/kg 11.01 ± 0.61 3.74 ± 0.46 39.20 ± 4.32 121.58 ± 17.70 8.67 ± 1.20$$
AE 25 mg/kg 9.36 ± 0.51 2.87 ± 0.17 53.84 ± 2.63 169.70 ± 25.55 6.30 ± 1.17$$$
AE 50 mg/kg 9.44 ± 0.22 3.25 ± 0.23 51.99 ± 5.11 250.04 ± 30.57$ 4.73 ± 0.62$$$
AE 100 mg/kg 10.04 ± 0.52 3.32 ± 0.27 61.72 ± 1.16$,## 234.07 ± 46.24 2.40 ± 0.78$$$,#
EE 25 mg/kg 7.18 ± 0.35$$,# 2.40 ± 0.25 56 ± 3.36 360.34 ± 59.08$$,# 1.40 ± 0.32$$$,###
EE 50 mg/kg 9.48 ± 0.37 2.89 ± 0.38 50.93 ± 4.39 600.01 ± 47.68$$$,### 3.02 ± 0.83$$$
EE 100 mg/kg 8.65 ± 0.96 3.00 ± 0.28 47.58 ± 3.21 518.03 ± 71.08$$$,# 4.97 ± 0.45$$$

Spinal cord Naïve 6.32 ± 0.49 0.74 ± 0.09   179.89 ± 30.60 250.43 ± 34.18
Control 7.48 ± 0.48 0.14 ± 0.04⁣∗∗∗   121.79 ± 18.55 507.22 ± 31.91⁣∗∗∗
L-trypt 100 mg/kg 6.64 ± 0.42 0.19 ± 0.04   145.75 ± 17.38 541.37 ± 32.28
AE 25 mg/kg 8.43 ± 0.44 0.24 ± 0.05   148.45 ± 20.37 482.75 ± 48.38
AE 50 mg/kg 8.82 ± 0.30 0.42 ± 0.08$   206.96 ± 38.38 302.77 ± 49.53$$
AE 100 mg/kg 7.91 ± 1.15 0.24 ± 0.06   173.74 ± 34.06 101.61 ± 16.98$$$
EE 25 mg/kg 7.48 ± 0.77 0.66 ± 0.11$$$,##   214.93 ± 22.35 90.04 ± 10.30$$$,###
EE 50 mg/kg 4.46 ± 0.44$$,### 0.48 ± 0.04$   288.23 ± 34.09$$$ 101.32 ± 9.99$$$,#
EE 100 mg/kg 7.97 ± 0.88 0.53 ± 0.10$   219.49 ± 36.48 101.54 ± 14.08$$$

Note: n = 10 (5 females + 5 males). GSH, glutathione.

Abbreviations: AE, aqueous extract; CAT, catalase; EE, ethanol extract; L-trypt, L-tryptophan; MDA, malondialdehyde; NO, nitrite oxide; RES + DW, reserpine + distilled water; SOD, superoxide dismutase.

⁣∗p < 0.05, ⁣∗∗p < 0.01, and ⁣∗∗∗p < 0.001 show a significant difference compared to the naïve group.

$ p < 0.05, $$p < 0.01, and $$$p < 0.001 show a significant difference from control.

# p < 0.05, ##p < 0.01, and ###p < 0.001 show a significant difference between the two extracts at the same dose.

Oxidative stress status was further assessed by measuring the activity of antioxidant enzymes in the brain and spinal cord of mice. The activity of SOD and CAT and the level of GSH did not significantly change in the brains of animals after reserpine treatment compared to the naïve group (Table 1). However, AE at a dose of 100 mg/kg significantly (p < 0.05) increased CAT activity by 26.55%, while GSH was significantly (p < 0.05) increased by AE at a dose of 50 mg/kg and with all tested doses of EE. The maximal effect of 314.66% (p < 0.001) was observed at a dose of EE 50 mg/kg. When comparing the effect of the two extracts, EE was more efficient than AE in increasing GSH, while at 100 mg/kg, the effect of AE was more potent than that of EE (Table 1).

In the spinal cord, SOD activity was significantly (p < 0.001) reduced by reserpine administration. Only mice treated with EE showed a significant increase in SOD levels, with a maximal effect (p < 0.001) obtained at a dose of 25 mg/kg. At this dose, EE was even more potent than AE. Notably, EE at a dose of 50 mg/kg significantly (p < 0.001) increased the GSH level in the spinal cord (Table 1).

NO levels were found to be significantly increased in the brain (p < 0.01) and spinal cord (p < 0.001) of reserpine-treated mice. Both extracts at all doses significantly reduced NO levels in the brain (p < 0.001). The same effect was observed in the spinal cord except for the dose of 25 mg/kg AE, which did not induce any effect (Table 1).

3.8. A. sieberiana Extracts Reduced Serum Cytokines But Not Brain Contents

To examine whether A. sieberiana effects are mediated through anti-inflammatory activity, we assayed cytokines in both serum and brain. The effects of A. sieberiana extracts on inflammatory markers are summarized in Figure 8. Treatment with reserpine significantly (p < 0.01) increased serum concentrations of IL-1β and TNF-α (p < 0.001), whereas only TNF-α concentration was elevated in the brain (p < 0.001) compared to the naïve group. Animals treated with A. sieberiana extracts showed a significant reduction in serum IL-1β and TNF-α concentrations at all doses (p < 0.001), except for the 100 mg/kg AE dose, which did not induce any change in TNF-α levels (Figures 8(a) and 8(e)). EE had a greater effect than EA on serum IL-1β (p < 0.05) and TNF-α (p < 0.001) at doses of 50 and 100 mg/kg, respectively (Figures 8(a) and 8(e)). In contrast to the serum samples, treatment with AE or EE did not affect these proinflammatory cytokines in the brain (Figures 8(c) and 8(g)).

Figure 8.

Figure 8

Aqueous and ethanol extracts of A. sieberiana stem bark reduced serum IL-1β and TNF-α levels but not brain tissue concentrations in reserpinized mice: (a and c) effects of AE and EE on the serum and brain IL-1β, (b and d) sex effect of plant extracts on serum and brain concentration of IL-1β, (e and g) effects of AE and EE on the serum and brain TNF-α, and (f and h) sex effect of A. sieberiana extracts on serum and brain TNFα concentrations. n = 10 (5 females + 5 males). ⁣∗∗∗p < 0.001 shows a significant difference compared to the naïve group. $p < 0.05, $$p < 0.01, and $$$p < 0.001 show a significant difference compared to the control group (one-way ANOVA with Dunnett's multiple comparisons posttest). #p < 0.05 and ###p < 0.01 show q significant difference between the two extracts at the same dose (multiple t-test and Holm–Sidak method). ββp < 0.01 and βββp < 0.001 show a significant difference between females and males at the same dose (multiple t-test and Holm–Sidak method). AE: aqueous extract; EE: ethanol extract; L-trypt: L-tryptophan.

Considering the sex-dependent response, there is no significant difference between males and females in response to the plant extract treatment. However, it was observed that females have a lower level of brain IL-1β than males (Figures 8(b), 8(d), 8(f), and 8(h)).

3.9. A. sieberiana Reversed Hyper AchE Activity in the Brain

Reserpine administration significantly (p < 0.001) increased AChE concentrations in mice. This increase was significantly reduced by treatment with both A. sieberiana extracts at all doses, with maximal effects of approximately 75% (p < 0.001) obtained at a dose of 50 mg/kg of both extracts (Figure 9(a)).

Figure 9.

Figure 9

Aqueous and ethanol extracts of Acacia sieberiana stem bark reversed the elevated brain acetylcholinesterase induced by reserpine injection: (a) comparison of plant extract effects on brain AchE activity and (b) sex-related effect of A. sieberiana on brain AChE activity. n = 10 (females + 5 males). ⁣∗∗∗p < 0.001 shows a significant difference compared to the naïve group. $$p < 0.01 and $$$p < 0.001 show a significant difference compared to the control group (one-way ANOVA with Dunnett's multiple comparisons posttest). ##p < 0.01 shows a significant difference between the two extracts at the same dose (multiple t-test and Holm–Sidak method). βp < 0.05 shows a significant difference between females and males at the same dose (multiple t-test and Holm–Sidak method). AE: aqueous extract; EE: ethanol extract; L-trypt: L-tryptophan; AChE: acetylcholinesterase.

The sex-related effect of plant extracts showed that when treated with EE at a dose of 100 mg/kg, the plant extract was significantly (p < 0.05) more effective in males than in females (Figure 9(b)).

3.10. A. sieberiana Ethanol Extract Has Relatively Low Toxicity in Mice

To examine the safety of A. sieberiana, the acute toxicity test was performed. The results of the acute toxicity test are presented in Figure 10. Irrespective of sex, EE did not induce any significant change in body mass (Figures 10(a), 10(b), 10(c), and 10(d)). The locomotor activity of females was not affected by the plant extract treatment, while males receiving EE at doses of 1800 and 5400 mg/kg showed a significant reduction in the total distance traveled (Figures 10(e) and 10(f)). At these doses, irrespective of sex, 20% and 40% of mice had loose stools (Figures 10(g) and 10(h)). However, no mortality or other signs of toxicity were recorded in mice treated with EE during the 14 days of observation.

Figure 10.

Figure 10

Acute toxicity tests of ethanol extracts of A. sieberiana stem bark in mice: (a and b) time-dependent variation in body mass percentage in female and male mice, (c and d) area under the curve (AUC) of the body mass variation in female and male mice during 14 days after unique oral administration of EE, (e and f) distance traveled in open field test by the mice 1 hour after unique oral administration of EE, and (g and h) percentage of the mice with loose stools after unique oral administration of EE. n = 10 (5 females + 5 males). ⁣∗p < 0.05 and ⁣∗∗p < 0.01 show a significant difference compared to the naïve group (one-way ANOVA with Dunnett's multiple comparisons posttest). EE: ethanol extract.

4. Discussion

This study aimed to evaluate the therapeutic effects of AE and EE of the stem bark of A. sieberiana on a mouse model of pain–depression induced by reserpine. Our main findings are the reversal of reserpine-induced nociception (by mitigating tactile and cold allodynia) and depression by enhancing the mobility of animals. Both extracts modulate a number of pain–depression–related biochemical parameters, including neurotransmitters, cytokines, and oxidative and nitrosative pathways. In addition, EE was the most effective extract and did not show significant adverse effects.

The reserpine-induced pain–depression dyad has been developed as a suitable animal model that mimics the clinical condition, and it is widely used in drug discovery experiments [13, 59, 60]. Reliably, we showed in this work that three consecutive days of injection of reserpine in mice at 1 mg/kg/day resulted in the establishment of a pain–depression dyad. In fact, reserpine-treated animals exhibited an increased response to acetone application (cold allodynia) and von Frey hairs (mechanical allodynia). These findings are in accordance with previous results [61]. Reserpine-induced allodynia results from an ASIC3-increased response in the dorsal root ganglion in C-nociceptors that is intensified by spinal microglia activation [60, 62]. Further pain amplification comes from the dysfunction of the descending inhibitory system of pain. A. sieberiana treatment reversed the increase in nociception induced by reserpine administration in mice. This finding suggests that A. sieberiana extracts may have inhibitory effects on C-fibers and microglial activation or regulate the pain descending inhibitory system. One of the interesting aspects of this reserpine model is central sensitization at the level of Laminae I-II of the spinal cord and peripheral modifications [60]. Considering this, it can be thought that A. sieberiana extract could reduce central sensitization or inhibit peripheral nociceptors. Tactile and cold allodynia are due to modifications such as a loss of integrity of Aδ and overexpression and hyperactivation of several receptors, such as TRPs [63, 64]. The antiallodynic effect of AE and EE suggests that the analgesic effects of these plant extracts could be mediated through the inhibition of TRP channels, including TRPA1 and/or TRPM8, which are specific to cold allodynia.

It is well established that increased nociception is coupled with depression. Several tests are known to evaluate depression-like behavior in animals, including FST, TST [65, 66], and the pole test [67] that were used in the present study. Herein, reserpine administration induced a reduction in motor activity in animals in the pole test and increased immobility time in the FST and TST. Treatment with A. sieberiana extracts dose- and time-dependently increased motor coordination in the pole test and motility function in the TST. These results suggest the antidepressant properties of A. sieberiana. It is worth noting that a single administration was less active, suggesting the effect of plant extracts through time-demanding processes. It was, however, surprising that A. sieberiana extracts had no effect on the immobility time in the FST, while a strong negative correlation has been demonstrated between PWT and FST immobility time in reserpinized animals [60]. However, in the course of the present study, the FST was performed 5 h after administration. This could be a limit in assessing the activity of these plant extracts, as their pharmacokinetics are unknown.

Neurotransmitters are vital biochemical molecules that control behavioral and physiological functions in the central and peripheral nervous systems [68]. In particular, the metabolic disturbance of monoamine neurotransmitters, especially 5-HT, is closely linked with neuropsychiatric disorder development [69], such as depression. Concordantly, the depression-like behavior developed by reserpine-treated animals was associated with a significant decline in brain total catecholamine and serotonin concentrations but not dopamine. Intraperitoneal administration of L-tryptophan and oral administration of A. sieberiana extracts reversed the alteration in catecholamine concentration and even increased the dopamine content in the brain. This result could therefore justify the reduction in the time of immobility observed during the TST and the improvement in motility in the pole test. However, it is worth noting that the plant extracts were unable to significantly reverse the drop in serotonin concentration induced by reserpine. This finding supports the recent hypothesis that serotonin is not the main mediator of depression [70, 71]; given that A. sieberiana extracts were unable to restore the brain serotonin content despite their antidepressant effect. Nevertheless, these data suggest that the analgesic and antidepressant effects of A. sieberiana might be mediated via the modulation of cerebral biogenic amines.

Reserpine, via a blockade of the vesicular monoamine transporter for neuronal transmission or storage, also promotes dopamine autoxidation and oxidative catabolism by monoamine oxidase, which leads to the formation of dopamine quinones and hydrogen peroxide, resulting in oxidative stress and lipid peroxidation [72]. The accumulation of ROS and reactive quinone leads to cell damage and the activation of proinflammatory signals [73]. The activation of microglia by TNF-α and IL-1β amplifies proinflammatory signaling, resulting in nitrite oxide and peroxynitrite accumulation, as well as the catabolism of tryptophan by indoleamine dioxygenase (IDO), which leads to neurotoxic catabolites, such as kynurenine, to trigger inflammation [74]. These physiological and biochemical processes implicate inflammation and oxidative stress in the sustainability of the pain–depression dyad both in the animal model used herein and in clinical conditions and further justify the evaluation of these parameters in the present work.

MDA is an indicator of lipid peroxidation [75]. In depression, MDA levels increase in brain tissue [76], while the levels of the antioxidant enzymes GSH, CAT, and SOD are reduced [19, 25, 77]. In reserpine-treated mice, we showed higher levels of MDA and decreased activity of SOD in the spinal cord and decreased CAT and GSH activity in the brains of these mice. Remarkably, A. sieberiana extracts reduced MDA levels and increased the activity of antioxidant enzymes, suggesting the antioxidant potential of this plant. The concentration of nitrite oxide also increased in the brain and spinal cord of mice in response to reserpine administration, and this increase was reversed by treatment with A. sieberiana extracts. An increase in NO concentration is related not only to nitrosative stress but also to inflammatory processes. In fact, NO overproduction as well as the recruitment of glial cells leads to excessive production of proinflammatory cytokines (TNF-α, IL-1β, and IL-6), which are involved in not only the initiation but also the persistence of pathologic pain by directly reducing the nociceptor stimulation threshold [78]. Several studies have also shown that depression and anxiety are associated with higher levels of inflammation [79, 80]. [60] showed that repeated injection of reserpine leads to an increase in proinflammatory cytokines. This result is concordant with the findings of the present study, which further demonstrates that repeated administration of A. sieberiana extracts dose-dependently reduced serum IL-1β and TNF-α levels, suggesting an anti-inflammatory effect of this plant. AE and EE failed to reduce brain cytokines impaired by reserpine. These surprising results may infer that the increased cytokines found in the bloodstream are not produced in the CNS.

Oxidative stress in depression is also a major cause of dysfunction of neurotransmitter modulation in the brain [81]. A significant increase in AChE activity in the brains of mice with depression phenotypes and a positive correlation between AChE and O2•− levels associated with depressive behaviors have been demonstrated [31]. This finding therefore suggests that oxidative stress may induce overactivation of AChE, leading to depression-related behaviors. Furthermore, a direct activation of cholinergic receptors or extending the action of endogenous acetylcholine via pharmacological blockade of AChEreduces pain in rodents as well as humans [29]. Consistently, we showed that reserpine-induced allodynia, oxidative stress parameters, and AChE activity in mice. Interestingly, A. sieberiana, irrespective of the dose and the type of extract, significantly reduced the activity of AChE. This reduction in AChE activity may at least partially justify the analgesic potential of the plant extracts and might be related to their antioxidant properties.

From a global consideration of the results, it appears that female mice responded less to the analgesic effect of A. sieberiana extracts. These results are consistent with several studies that showed sex-differential responses to analgesics [82–84]. Testosterone has consistently shown its protective role against pain in men, leading to a lower prevalence of chronic pain in men than in women [85, 86]. The marked analgesic effect of the extracts in males compared to females may be due to the high testosterone level in males. Pain is closely linked to the overexpression of proinflammatory cytokines, and studies have shown that this overexpression depends on hormonal variation in female and male animals. However, the literature reports that both testosterone and estrogens limit the production of proinflammatory cytokines such as TNF-α [87]. Concordantly, our results showed no sex difference in TNF-α levels in the brain and serum. Nevertheless, a reduced level of IL-1β was observed in the female's brain as compared to the male. These results suggest that sex-related variation of cytokines depends on the type of cytokine. Besides, as the hormonal status of females was not assessed in the present study, it is difficult to draw a powerful conclusion on this point.

In addition, gender analysis showed that the antidepressant effect of A. sieberiana extracts was marked in both females and males, but females tended to be more sensitive to the treatment. Although there is a clear evidence of a sex effect both on the prevalence of depression and the response to treatment, the effect of sex hormones on depression-related neurotransmitters seems to be unidirectional. In fact, both estrogens and androgens modulate neurotransmitters in the brain, including serotonergic, noradrenergic, GABAergic, dopaminergic, and glutamatergic systems, which will therefore affect cognition, attention, motor activity, fine motor skills, and mood regulation in animals [88–90]. Thus, a drop in estrogen and testosterone can lead to increased levels of sadness, anxiety, and irritability. Therefore, sex hormones are unlikely to explain the sex difference in depression. Nevertheless, testosterone affects the noradrenergic but not the serotonergic system [71, 91].

Taken together, this study showed that A. sieberiana reversed the pain–depression dyad induced in a mouse model by reserpine injection and that EE had a greater effect. The greater effect of EE as compared to AE, might be due to differences in chemical composition, either quantitatively or qualitatively. This will be explored in the future; however, for this publication, we only focused on the constituents of the more active fraction. It was essential to perform a toxicological evaluation of the ethanol extract for its safety in potential therapeutic applications. The study showed that the single administration of high doses of A. sieberiana up to a dose of 5400 mg/kg did not cause mortality in female and male mice, inferring that the LD50 would be greater than 5400 mg/kg. Thus, according to the Globally Harmonized Classification System (GHS), the ethanol extract of A. sieberiana can be classified as a relatively nontoxic substance [92]. However, loosed stools were observed in animals treated with higher doses of EE, suggesting that this extract might induce diarrhea.

The phytochemical profiling of the ethanol extract showed the presence of 5 compounds including piperine, aurantiamide acetate, and asperphenamate along with the likely presence of a number of flavonoids that might account for the observed pharmacological activities. Indeed, analgesic, anti-inflammatory, and antidepressant effects of piperine have been demonstrated in various animal models [94–96]. Apigenin also demonstrated anti-inflammatory and antidepressant activity [97], while aurantiamide acetate showed analgesic and anti-inflammatory properties [98, 99]. Moreover, Olayinka et al. [100] recently demonstrated that apigenin mitigates depression-like behavior by modulating monoamine oxidase enzyme, a mechanism close to what is proposed for A. sieberiana extracts.

5. Conclusion

AE and EE of A. sieberiana trunk bark are effective against the pain and depression dyad induced by reserpine in mice. The sex-related activity indicates that males respond better to the analgesic treatment, while females seem to be more prone to the antidepressant effect. The analgesic and antidepressant activities of the plant extracts are probably related to their anti-inflammatory, antioxidant, and catecholamine modulatory effects in the brain, spinal cord or serum. EE is the most effective extract and can be classified as a relatively nontoxic substance. Its pharmacological activities may be ascribed to the presence of piperine, aurantiamide acetate, and apigenin. This study shows for the first time the analgesic and antidepressant effects of A. sieberiana and further evokes the mechanism of action. Further studies are needed for long-term toxicity, and to test the pharmacological effect on different models and animal species [96].

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Conflicts of Interest

The authors declare no conflicts of interest.

Author Contributions

Conceptualization: T.B.N.; investigation: S.N.M., A.R.F., C.W.K., and R.H.S.F.; formal analysis: T.B.N., S.N.M., and P.A.N.N.; methodology T.B.N. and S.N.M.; project administration: T.B.N.; software: T.B.N.; supervision: T.B.N.; roles/writing–original draft: T.B.N. and S.N.M.; writing, review, and editing: All authors.

Funding

Research reported in this publication was partially supported by the National Institute of Complementary and Integrative Health and Fogarty International Center of the National Institutes of Health under award number R21AT013164 (T.B.N., K.J.T.).

Supporting Information

Supporting Information

Additional supporting information can be found online in the Supporting Information section.

1244498.f1.docx (3.9MB, docx)

The attached supporting file contains detailed methods and analysis of the ethanol extract using molecular networking.

References

  • 1.Raja S. N., Carr D. B., Cohen M., et al. The Revised International Association for the Study of Pain Definition of Pain: Concepts, Challenges, and Compromises. Pain . 2020;161(9):1976–1982. doi: 10.1097/j.pain.0000000000001939. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Zimmer Z., Fraser K., Grol-Prokopczyk H., Zajacova A. A. Global Study of Pain Prevalence Across 52 Countries: Examining the Role of Country-Level Contextual Factors. Pain . 2022;163(9):1740–1750. doi: 10.1097/j.pain.0000000000002557. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Pieretti S., Di Giannuario A., Di Giovannandrea R., et al. Gender Differences in Pain and its Relief. Annali dell’Istituto Superiore di Sanita . 2016;52(2):184–189. doi: 10.4415/ANN_16_02_09. [DOI] [PubMed] [Google Scholar]
  • 4.Sorge R. E., Totsch S. K. Sex Differences in Pain. Journal of Neuroscience Research . 2017;95(6):1271–1281. doi: 10.1002/jnr.23841. [DOI] [PubMed] [Google Scholar]
  • 5.Franić S., Middeldorp C. M., Dolan C. V., Ligthart L., Boomsma D. I. Childhood and Adolescent Anxiety and Depression: Beyond Heritability. Journal of the American Academy of Child & Adolescent Psychiatry . 2010;49(8):820–829. doi: 10.1016/j.jaac.2010.05.013. [DOI] [PubMed] [Google Scholar]
  • 6.Filatova E. V., Shadrina M. I., Slominsky P. A. Major Depression: One Brain, One Disease, One Set of Intertwined Processes. Cells . 2021;10(6):p. 1283. doi: 10.3390/cells10061283. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Alshaya D. S. Genetic and Epigenetic Factors Associated With Depression: An Updated Overview. Saudi Journal of Biological Sciences . 2022;29(8):p. 103311. doi: 10.1016/j.sjbs.2022.103311. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Mahmud S., Mohsin M., Dewan M. N., Muyeed A. The Global Prevalence of Depression, Anxiety, Stress, and Insomnia Among General Population During COVID-19 Pandemic: A Systematic Review and Meta-Analysis. Trends in Psychology . 2022;31(1):143–170. doi: 10.1007/s43076-021-00116-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Woody C. A., Ferrari A. J., Siskind D. J., Whiteford H. A., Harris M. G. A Systematic Review and Meta-Regression of the Prevalence and Incidence of Perinatal Depression. Journal of Affective Disorders . 2017;219:86–92. doi: 10.1016/j.jad.2017.05.003. [DOI] [PubMed] [Google Scholar]
  • 10.Bangasser D. A., Cuarenta A. Sex Differences in Anxiety and Depression: Circuits and Mechanisms. Nature Reviews Neuroscience . 2021;22(11):674–684. doi: 10.1038/s41583-021-00513-0. [DOI] [PubMed] [Google Scholar]
  • 11.Casale R., Atzeni F., Bazzichi L., et al. Pain in Women: A Perspective Review on a Relevant Clinical Issue That Deserves Prioritization. Pain and Therapy . 2021;10(1):287–314. doi: 10.1007/s40122-021-00244-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Kundakovic M., Rocks D. Sex Hormone Fluctuation and Increased Female Risk for Depression and Anxiety Disorders: From Clinical Evidence to Molecular Mechanisms. Frontiers in Neuroendocrinology . 2022;66:p. 101010. doi: 10.1016/j.yfrne.2022.101010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Singh A. P., Singh L., Singh P., Bhatti R. Biological Evaluation of Aegle Marmelos Fruit Extract and Isolated Aegeline in Alleviating Pain-Depression Dyad: In Silico Analysis of Aegeline on MAO-A and Inos. ACS Omega . 2021;6(3):2034–2044. doi: 10.1021/acsomega.0c04739. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Huang W. J., Chen W. W., Zhang X. Endocannabinoid System: Role in Depression, Reward and Pain Control (Review) Molecular Medicine Reports . 2016;14(4):2899–2903. doi: 10.3892/mmr.2016.5585. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Sheng J., Liu S., Wang Y., Cui R., Zhang X. The Link Between Depression and Chronic Pain: Neural Mechanisms in the Brain. Neural Plasticity . 2017;2017:9724371–10. doi: 10.1155/2017/9724371. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Singh L., Kaur A., Garg S., Bhatti R. Skimmetin/Osthole Mitigates Pain-Depression Dyad via Inhibiting Inflammatory and Oxidative Stress-Mediated Neurotransmitter Dysregulation. Metabolic Brain Disease . 2021;36(1):111–121. doi: 10.1007/s11011-020-00604-4. [DOI] [PubMed] [Google Scholar]
  • 17.Lépine J. P., Briley M. The Epidemiology of Pain in Depression. Human Psychopharmacology . 2004;19(Suppl 1):S3–S7. doi: 10.1002/hup.618. [DOI] [PubMed] [Google Scholar]
  • 18.Li Z., Ruan M., Chen J., Fang Y. Major Depressive Disorder: Advances in Neuroscience Research and Translational Applications. Neuroscience Bulletin . 2021;37(6):863–880. doi: 10.1007/s12264-021-00638-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Arora V., Kuhad A., Tiwari V., Chopra K. Curcumin Ameliorates Reserpine-Induced Pain–Depression Dyad: Behavioural, Biochemical, Neurochemical and Molecular Evidences. Psychoneuroendocrinology . 2011;36(10):1570–1581. doi: 10.1016/j.psyneuen.2011.04.012. [DOI] [PubMed] [Google Scholar]
  • 20.Zhan Y., Zhou Y., Zheng W., et al. Alterations of Multiple Peripheral Inflammatory Cytokine Levels After Repeated Ketamine Infusions in major depressive disorder. Translational Psychiatry . 2020;10(1):p. 246. doi: 10.1038/s41398-020-00933-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Miller A. H., Maletic V., Raison C. L. Inflammation and Its Discontents: The Role of Cytokines in the Pathophysiology of Major Depression. Biological Psychiatry . 2009;65(9):732–741. doi: 10.1016/j.biopsych.2008.11.029. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Gałecki P., Talarowska M. Inflammatory Theory of Depression. Psychiatria Polska . 2018;52(3):437–447. doi: 10.12740/PP/76863. [DOI] [PubMed] [Google Scholar]
  • 23.Troubat R., Barone P., Leman S., et al. Neuroinflammation and Depression: A Review. European Journal of Neuroscience . 2021;53(1):151–171. doi: 10.1111/ejn.14720. [DOI] [PubMed] [Google Scholar]
  • 24.Campos A. C. P., Antunes G. F., Matsumoto M., Pagano R. L., Martinez R. C. R. Neuro-inflammation, Pain and Depression: An Overview of the Main Findings. Frontiers in Psychology . 2020;11:p. 1825. doi: 10.3389/fpsyg.2020.01825. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Bajpai A., Verma A. K., Srivastava M., Srivastava R. Oxidative Stress and Major Depression. Journal of Clinical and Diagnostic Research . 2014;8(12):CC04–CC7. doi: 10.7860/JCDR/2014/10258.5292. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Ogawa S., Fujii T., Koga N., et al. Plasma L-Tryptophan Concentration in Major Depressive Disorder: New Data and Meta-Analysis. The Journal of Clinical Psychiatry . 2014;75(09):e906–e915. doi: 10.4088/JCP.13r08908. [DOI] [PubMed] [Google Scholar]
  • 27.Maes M., Leonard B. E., Myint A. M., Kubera M., Verkerk R. The New ‘5-HT’ Hypothesis of Depression: Cell-Mediated Immune Activation Induces Indoleamine 2,3-dioxygenase, Which Leads to Lower Plasma Tryptophan and an Increased Synthesis of Detrimental Tryptophan Catabolites (TRYCATs), Both of Which Contribute to the Onset of Depression. Progress in Neuro-Psychopharmacology and Biological Psychiatry . 2011;35(3):702–721. doi: 10.1016/j.pnpbp.2010.12.017. [DOI] [PubMed] [Google Scholar]
  • 28.Bartolini A., Di Cesare Mannelli L., Ghelardini C. Analgesic and Antineuropathic Drugs Acting Through Central Cholinergic Mechanisms. Recent Patents on CNS Drug Discovery . 2011;6(2):119–140. doi: 10.2174/157488911795933901. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Naser P. V., Kuner R. Molecular, Cellular and Circuit Basis of Cholinergic Modulation of Pain. Neuroscience . 2018;387:135–148. doi: 10.1016/j.neuroscience.2017.08.049. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Ji L., Chen Y., Wei H., et al. Activation of Alpha7 Acetylcholine Receptors Reduces Neuropathic Pain by Decreasing Dynorphin A Release from Microglia. Brain Research . 2019;1715(1715):57–65. doi: 10.1016/j.brainres.2019.03.016. [DOI] [PubMed] [Google Scholar]
  • 31.Wang X., Li P., Ding Q., Wu C., Zhang W., Tang B. Observation of Acetylcholinesterase in Stress-Induced Depression Phenotypes by Two-Photon Fluorescence Imaging in the Mouse Brain. Journal of the American Chemical Society . 2019;141(5):2061–2068. doi: 10.1021/jacs.8b11414. [DOI] [PubMed] [Google Scholar]
  • 32.Sramek J. J., Murphy M. F., Cutler N. R. Sex Differences in the Psychopharmacological Treatment of Depression. Dialogues in Clinical Neuroscience . 2016;18(4):447–457. doi: 10.31887/DCNS.2016.18.4/ncutler. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Kirabo I., Faith P. M., Robinson H. M., Christopher J. D. O. In Vitro Antibacterial Potential of Extracts of Sterculia Africana, Acacia sieberiana, and Cassia Abbreviata ssp Abbreviata Used by Yellow Baboons (Papio cynocephalus) for Possible Self-Medication in Mikumi National Park, Tanzania. International Journal of Zoonoses . 2018:p. 6. doi: 10.1155/2018/9407962. [DOI] [Google Scholar]
  • 34.Ngaffo C. M. N., Tchangna R. S. V., Mbaveng A. T., et al. Botanicals From the Leaves of Acacia sieberiana Had Better Cytotoxic Effects Than Isolated Phytochemicals Toward MDR Cancer Cells Lines. Heliyon . 2020;6(11):p. e05412. doi: 10.1016/j.heliyon.2020.e05412. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Zeuko´o M. E., Jurbe G. G., Ntim P. S., et al. Phytochemical Screening and Antidiarrheal Evaluation of Acetone Extract of Acacia sieberiana Var Woodii (Fabaceae) Stem Bark in Wistar Rats. Academia Journal of Pharmacy and Pharmacology . 2015;3(1):1–6. [Google Scholar]
  • 36.Watafua M., Ejiofor J. I., Musa A., Ahmad M. H. Acacia sieberiana (Fabaceae) Attenuates Paracetamol and Bile Duct Ligation-Induced Hepatotoxicity via Modulation of Biochemical and Oxidative Stress Biomarkers. Frontiers in Pharmacology . 2022;13:p. 959661. doi: 10.3389/fphar.2022.959661. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Dawurung C. J., Elisha I. L., Offiah N. V., et al. Antidiarrheal Evaluation of Aqueous and Ethanolic Leaf Extracts of Acacia sieberiana DC. (Fabaceae) in Albino Rats. Asian Journal of Experimental Biological Sciences . 2012;3(4):799–803. [Google Scholar]
  • 38.Eldeen I. M. S., Elgorashi E. E., van Staden J. Antibacterial, Anti-inflammatory, Anti-Cholinesterase and Mutagenic Effects of Extracts Obtained From Some Trees Used in South African Traditional Medicine. Journal of Ethnopharmacology . 2005;102(3):457–464. doi: 10.1016/j.jep.2005.08.049. [DOI] [PubMed] [Google Scholar]
  • 39.Watrous J., Roach P., Alexandrov T., et al. Mass Spectral Molecular Networking of Living Microbial Colonies. Proceedings of the National Academy of Sciences of the U S A . 2012;109(26):E1743–E1752. doi: 10.1073/pnas.1203689109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Wang M., Carver J. J., Phelan V. V., et al. Sharing and Community Curation of Mass Spectrometry Data With Global Natural Products Social Molecular Networking. Nature Biotechnology . 2016;34(8):828–837. doi: 10.1038/nbt.3597. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Samad N., Khaliq S., Alam M., et al. Tryptophan Lessens Reserpine Induced Anxiety, Depression and Memory Impairment by Modulating Oxidative Stress and Serotonergic Activity. Pakistan Journal of Pharmaceutical Sciences . 2021;34(4(Supplementary)):1499–1508. [PubMed] [Google Scholar]
  • 42.Nagakura Y., Oe T., Aoki T., Matsuoka N. Biogenic Amine Depletion Causes Chronic Muscular Pain and Tactile Allodynia Accompanied by Depression: A Putative Animal Model of Fibromyalgia. Pain . 2009;146(1):26–33. doi: 10.1016/j.pain.2009.05.024. [DOI] [PubMed] [Google Scholar]
  • 43.WHO. Research Guidelines for the Evaluation of the Safety and Efficacy of Herbal Medicines, Manila, WHO Regional Office for the Western Pacific . Vol. 87. Annex II; 2000. General Methodological Principles for Research and Evaluation in Traditional Medicine WHO/EDM/TRM/2000.1. Annex II. [Google Scholar]
  • 44.Chaplan S. R., Bach F., Pogrel J. W., Chung J. M., Yaksh T. L. Quantitative Assessment of Tactile Allodynia in the Rat Paw. Journal of Neuroscience Methods . 1994;53(1):55–63. doi: 10.1016/0165-0270(94)90144-9. [DOI] [PubMed] [Google Scholar]
  • 45.Brenner D. S., Golden J. P., Gereau R. W. T. A Novel Behavioral Assay for Measuring Cold Sensation in Mice. PLoS One . 2012;7(6):p. e39765. doi: 10.1371/journal.pone.0039765. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Liang S., Lu Y., Li Z., et al. Iron Aggravates the Depressive Phenotype of Stressed Mice by Compromising the Glymphatic System. Neuroscience Bulletin . 2020;36(12):1542–1546. doi: 10.1007/s12264-020-00539-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Can A., Dao D. T., Terrillion C. E., Piantadosi S. C., Bhat S., Gould T. D. The Tail Suspension Test. Journal of Visualized Experiments: JoVE . 2012;(59):p. e3769. doi: 10.3791/3769. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Porsolt R. D., Le Pichon M., Jalfre M. Depression: A New Animal Model Sensitive to Antidepressant Treatments. Nature . 1977;266(5604):730–732. doi: 10.1038/266730a0. [DOI] [PubMed] [Google Scholar]
  • 49.Zhou X., Zhu A., Shi G. Selective Extraction and Analysis of Catecholamines Inrat Blood Microdialysate by Polymeric Ionic Liquid-Diphenylboric Acid-Packed Capillary Columnand Fast Separation in High-Performance Liquid Chromatography-Electrochemical Detector. Journal of Chromatography A . 2015;1409:125–131. doi: 10.1016/j.chroma.2015.07.040. [DOI] [PubMed] [Google Scholar]
  • 50.Ramadan M. A. A., Almasri I., Khayal G. Spectrophotometric Determination of Dopamine in Bulk and Dosage Forms Using 2,4-Dinitrophenylhydrazine. Turkish Journal of Pharmaceutical Sciences . 2020;17(6):679–685. doi: 10.4274/tjps.galenos.2019.25902. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Nguelefack-Mbuyo E. P., Nokam F., Tchinda N. L., Goumtsa A. F., Tsabang N., Nguelefack T. B. Vasorelaxant and Antioxidant Effects of Aframomum pruinosum Gagnep. (Zingiberaceae) Seed Extracts May Mediate Their Cardioprotective Activity Against Isoproterenol-Induced Myocardial Infarction. Evidence-Based Complementary and Alternative Medicine . 2022;2022:1–14. doi: 10.1155/2022/7257448. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Tseuguem P. P., Nguelefack T. B., Piégang B. N., Mbankou N. S. Aqueous and Methanol Extracts of Paullinia Pinnata (Sapindaceae) Improve MonosodiumUrate-Induced Gouty Arthritis in Rat: Analgesic, Anti-Inflammatory, and Antioxidant Effects. Evidence-Based Complementary and Alternative Medicine . 2019 doi: 10.1155/2019/5946291. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Sinha A. K. Colorimetric Assay of Catalase. Analytical Biochemistry . 1972;47(2):389–394. doi: 10.1016/0003-2697(72)90132-7. [DOI] [PubMed] [Google Scholar]
  • 54.Wandji B. A., Bomba F. D. T., Nkeng-Efouet P. A., Piegang B. N., Kamanyi A., Nguelefack T. B. Anti-Hyperalgesic Activity of the Aqueous and Methanol Extracts of the Leaves of Pittosporum Mannii Hook on CFA-Induced Persistent Inflammatory Pain. Inflammopharmacology . 2018;26(1):197–205. doi: 10.1007/s10787-017-0376-6. [DOI] [PubMed] [Google Scholar]
  • 55.Ndjenda II M. K., Nguelefack-Mbuyo E. P., Atsamo A. D., et al. Antihypertensive Effects of the Methanol Extract and the Ethyl Acetate Fraction From Crinum zeylanicum (Amaryllidaceae) Leaves in L-NAME-Treated Rat. Evidence-based Complementary and Alternative Medicine . 2021;2021:1–12. doi: 10.1155/2021/2656249. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Ellman G. L., Courtney D. K., Andres V., Featherstone R. M. A New and Rapid Colorimetric Determination of Acetylcholinesterase Activity. Biochemical Pharmacology . 1961;7:88–95. doi: 10.1016/0006-2952(61)90145-9. [DOI] [PubMed] [Google Scholar]
  • 57.Gong M. F., Wen R. T., Xu Y., et al. Attenuation of Ethanol Abstinence-Induced Anxiety- and Depressive-Like Behavior by the Phosphodiesterase-4 Inhibitor Rolipram in Rodents. Psychopharmacology . 2017;234(20):3143–3151. doi: 10.1007/s00213-017-4697-3. [DOI] [PubMed] [Google Scholar]
  • 58.Belovicova K., Bogi E., Csatlosova K., Dubovicky M. Animal Tests for Anxiety-Like and Depression-Like Behavior in Rats. Interdisciplinary Toxicology . 2017;10(1):40–43. doi: 10.1515/intox-2017-0006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Sousa F. S. S., Birmann P. T., Baldinotti R., et al. α-(Phenylselanyl) Acetophenone Mitigates Reserpine-Induced Pain-Depression Dyad: Behavioral, Biochemical and Molecular Docking Evidences. Brain Research Bulletin . 2018;142:129–137. doi: 10.1016/j.brainresbull.2018.07.007. [DOI] [PubMed] [Google Scholar]
  • 60.Zhao J, Shi W, Lu Y, et al. Alterations of Monoamine Neurotransmitters, HPA-Axis Hormones, and Inflammation Cytokines in reserpine-Induced Hyperalgesia and Depression Comorbidity Rat Model. BMC Psychiatry . 2022;22(1):p. 419. doi: 10.1186/s12888-022-04065-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Ferrarini E. G., Gonçalves E. C. D., Ferrareis M. J., Rabelo B. D., Felipetti F. A., Dutra R. C. Exercise Reduces Pain and Deleterious Histological Effects in Fibromyalgia-Like Model. Neurosciences . 2021;465:46–59. doi: 10.1016/j.neuroscience.2021.04.017. [DOI] [PubMed] [Google Scholar]
  • 62.Taguchi T., Katanosaka K., Yasui M., et al. Peripheral and Spinal Mechanisms of Nociception in a Rat Reserpine-Induced Pain Model. Pain . 2015;156(3):415–427. doi: 10.1097/01.j.pain.0000460334.49525.5e. [DOI] [PubMed] [Google Scholar]
  • 63.Caspani O., Zurborg S., Labuz D., Heppenstall P. A. The Contribution of TRPM8 and TRPA1 Channels to Cold Allodynia and Neuropathic Pain. PLoS One . 2009;4(10):p. e7383. doi: 10.1371/journal.pone.0007383. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Lolignier, Eijkelkamp S., John N. Wood Mechanical Allodynia Pflugers Arch. European Journal of Physiology . 2014 doi: 10.1007/s00424-014-1532-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Kulkarni S. K., Dhir A. On the Mechanism of Antidepressant-Like Action of Berberine Chloride. European Journal of Pharmacology . 2008;589(1-3):163–172. doi: 10.1016/j.ejphar.2008.05.043. [DOI] [PubMed] [Google Scholar]
  • 66.Freitas A. E., Budni J., Lobat o K. R., et al. Antidepressant-Like Action of the Ethanolic Extract of Tabebuia Avellanedae in Mice: Evidence for the Involvement of the Monoaminergic System. 2010. [DOI] [PubMed]
  • 67.Chen B., Xia M., Ji M., et al. Novel Murine Models of Mania and Depression. BioRxiv Preprint . 2022 doi: 10.1101/2022.03.16.484557. [DOI] [Google Scholar]
  • 68.Moon J. M., Thapliyal N., Hussain K. K., Goyal R. N., Shim Y. B. Conducting Polymer-Based Electrochemical Biosensors for Neurotransmitters: A Review. Biosensors and Bioelectronics . 2018;102:540–552. doi: 10.1016/j.bios.2017.11.069. [DOI] [PubMed] [Google Scholar]
  • 69.Pan Y.-J., Kuo K.-H., Chan H.-Y., McCrone P. Cost-Effectiveness and Cost-Utility of Selective Serotonin Reuptake Inhibitors, Serotonin Norepinephrine Reuptake Inhibitors, and Tricyclic Antidepressants in Depression With Comorbid Cardiovascular Disease. Journal of Psychiatric Research . 2014;54(54):70–78. doi: 10.1016/j.jpsychires.2014.03.002. [DOI] [PubMed] [Google Scholar]
  • 70.Moncrieff J., Cooper R. E., Stockmann T., Amendola S., Hengartner M. P., Horowitz M. A. The Serotonin Theory of Depression: A Systematic Umbrella Review of the Evidence. Molecular Psychiatry . 2022;28(8):3243–3256. doi: 10.1038/s41380-022-01661-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Martínez-Mota L., Fernández-Guasti A. Testosterone-Dependent Antidepressant-Like Effect of Noradrenergic But Not of Serotonergic Drugs. Pharmacology Biochemistry and Behavior . 2004;78(4):711–718. doi: 10.1016/j.pbb.2004.05.016. [DOI] [PubMed] [Google Scholar]
  • 72.Lohr J. B., Kuczenski R., Niculescu A. B. Oxidative Mechanisms and Tardive Dyskinesia. CNS Drugs . 2003;17(1):47–62. doi: 10.2165/00023210-200317010-00004. [DOI] [PubMed] [Google Scholar]
  • 73.Yoshioka Y., Sugino Y., Yamamuro A., Ishimaru Y., Maeda S. Dopamine Inhibits the Expression of Proinflammatory Cytokines of Microglial Cells Through the Formation of Dopamine Quinone in the Mouse Striatum. Journal of Pharmacological Sciences . 2022;148(1):41–50. doi: 10.1016/j.jphs.2021.10.004. [DOI] [PubMed] [Google Scholar]
  • 74.Sas K., Robotka H., Toldi J., Vécsei L. Mitochondria, Metabolic Disturbances, Oxidative Stress and the Kynurenine System, With Focus on Neurodegenerative Disorders. Journal of the Neurological Sciences . 2007;257(1-2):221–239. doi: 10.1016/j.jns.2007.01.033. [DOI] [PubMed] [Google Scholar]
  • 75.Tsikas D. Assessment of Lipid Peroxidation by Measuring Malondialdehyde (MDA) and Relatives in Biological Samples: Analytical and Biological Challenges. Analytical Biochemistry . 2017;524:13–30. doi: 10.1016/j.ab.2016.10.021. [DOI] [PubMed] [Google Scholar]
  • 76.Beheshti F., Hashemzehi M., Hosseini M., Marefati N., Memarpour S. Inducible Nitric Oxide Synthase Plays a Role in Depression- and Anxiety-Like Behaviors Chronically Induced by Lipopolysaccharide in Rats: Evidence From Inflammation and Oxidative Stress. Behavioural Brain Research . 2020;392:p. 112720. doi: 10.1016/j.bbr.2020.112720. [DOI] [PubMed] [Google Scholar]
  • 77.Islam M. T. Oxidative Stress and Mitochondrial Dysfunction-Linked Neurodegenerative Disorders. Neurological Research . 2017;39(1):73–82. doi: 10.1080/01616412.2016.1251711. [DOI] [PubMed] [Google Scholar]
  • 78.Zhang J. M., An J. Cytokines, Inflammation, and Pain. International Anesthesiology Clinics . 2007;45(2):27–37. doi: 10.1097/AIA.0b013e318034194e. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Salim S., Chugh G., Asghar M. Inflammation in Anxiety. Advances in Protein Chemistry and Structural Biology . 2012;88:1–25. doi: 10.1016/b978-0-12-398314-5.00001-5. [DOI] [PubMed] [Google Scholar]
  • 80.Li G. J., Sun P., Wang R., Zhou Y. L., Qian Y., Zhao X. Preventive Effect of Polysaccharide of Larimichthys crocea Swim Bladder on Reserpine Induced Gastric Ulcer in ICR Mice. Korean Journal of Physiology and Pharmacology . 2014;18(2):183–190. doi: 10.4196/kjpp.2014.18.2.183. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Coyle J. T., Puttfarcken P. Oxidative Stress, Glutamate, and Neurodegenerative Disorders. Science . 1993;262(5134):689–695. doi: 10.1126/science.7901908. [DOI] [PubMed] [Google Scholar]
  • 82.Mogil J. S., Bailey A. L. Sex and Gender Differences in Pain and Analgesia. Progress in Brain Research . 2010;186:141–157. doi: 10.1016/B978-0-444-53630-3.00009-9. [DOI] [PubMed] [Google Scholar]
  • 83.Mogil J. S. Qualitative Sex Differences in Pain Processing: Emerging Evidence of a Biased Literature. Nature Reviews Neuroscience . 2020;21(7):353–365. doi: 10.1038/s41583-020-0310-6. [DOI] [PubMed] [Google Scholar]
  • 84.Arguelles N., Miksys S., Tyndale R. F. Sex and Estrous Cycle Differences in Analgesia and Brain Oxycodone Levels. Molecular Neurobiology . 2021;58(12):6540–6551. doi: 10.1007/s12035-021-02560-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Smith B. H., Elliott A. M., Chambers W. A., Smith W. C., Hannaford P. C., Penny K. The Impact of Chronic Pain in the Community. Family Practice . 2001;18(3):292–299. doi: 10.1093/fampra/18.3.292. [DOI] [PubMed] [Google Scholar]
  • 86.Athnaiel O., Cantillo S., Paredes S., Knezevic N. N. The Role of Sex Hormones in Pain-Related Conditions. International Journal of Molecular Sciences . 2023;24(3):p. 1866. doi: 10.3390/ijms24031866. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Lenert M. E., Avona A., Garner K. M., Barron L. R., Burton M. D. Sensory Neurons, Neuroimmunity, and Pain Modulation by Sex Hormones. Endocrinology . 2021;162(8):p. bqab109. doi: 10.1210/endocr/bqab109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Barth C., Villringer A., Sacher J. Sex Hormones Affect Neurotransmitters and Shape the Adult Female Brain During Hormonal Transition Periods. Frontiers in Neuroscience . 2015;9:p. 37. doi: 10.3389/fnins.2015.00037. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Amin Z., Canli T., Epperson C. N. Effect of Estrogen-Serotonin Interactions on Mood and Cognition. Behavioral and Cognitive Neuroscience Reviews . 2005;4(1):43–58. doi: 10.1177/1534582305277152. [DOI] [PubMed] [Google Scholar]
  • 90.Deecher D., Andree T. H., Sloan D., Schechter L. E. From Menarche to Menopause: Exploring the Underlying Biology of Depression in Women Experiencing Hormonal Changes. Psychoneuroendocrinology . 2008;33(1):3–17. doi: 10.1016/j.psyneuen.2007.10.006. [DOI] [PubMed] [Google Scholar]
  • 91.Shemisa K., Kunnathur V., Liu B., Salvaterra T. J., Dluzen D. E. Testosterone Modulation of Striatal Dopamine Output in Orchidectomized Mice. Synapse . 2006;60(5):347–353. doi: 10.1002/syn.20309. [DOI] [PubMed] [Google Scholar]
  • 92.Hodge H. C., Stenner J. H. Determination of Substance Acute Toxicity by LD50. Am Ind Hyg Assoc . 1943;10:93–96. [Google Scholar]
  • 93.Li S., Wang C., Wang M., Li W., Matsumoto K., Tang Y. Antidepressant Like Effects of Piperine in Chronic Mild Stress Treated Mice and Its Possible Mechanisms. Life Sciences . 2007;80(15):1373–1381. doi: 10.1016/j.lfs.2006.12.027. [DOI] [PubMed] [Google Scholar]
  • 94.Wattanathorn J., Chonpathompikunlert P., Muchimapura S., Priprem A., Tankamnerdthai O. Piperine, the Potential Functional Food for Mood and Cognitive Disorders. Food and Chemical Toxicology . 2008;46(9):3106–3110. doi: 10.1016/j.fct.2008.06.014. [DOI] [PubMed] [Google Scholar]
  • 95.Basavaraju S. M., Mudhol S., Peddha M. S., et al. Nanoemulsion-Based Piperine to Enhance Bioavailability for the Treatment of LPS-Induced Depression-Like Behaviour in Mice. Neuroscience Letters . 2023;814:p. 137441. doi: 10.1016/j.neulet.2023.137441. [DOI] [PubMed] [Google Scholar]
  • 96.Suhas R., Channe Gowda D. Structure-Based Rationale Design and Synthesis of Aurantiamide Acetate Analogues Towards a New Class of Potent Analgesic and Antiinflammatory Agents. Chemical Biology & Drug Design . 2012;79(5):850–862. doi: 10.1111/j.1747-0285.2012.01331.x. [DOI] [PubMed] [Google Scholar]
  • 97.Allemailem KS, Almatroudi A, Alharbi HOA, et al. Apigenin: A Bioflavonoid with a Promising Role in Disease Prevention and Treatment. Biomedicines . 2024;12(6):p. 1353. doi: 10.3390/biomedicines12061353. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98.Yang Y., Dai J.-H., Shi C.-Y., et al. Identification of Novel Targets of Aurantiamide Acetate against Osteoporosis through In Silico and In Vitro Approaches. Materials Express . 2020;10(12):p. 2020. doi: 10.1166/mex.2020.1851. [DOI] [Google Scholar]
  • 99.Fang Z., Fang J., Gao C., Wu Y., Yu W. Aurantiamide Acetate Ameliorates Lung Inflammation in Lipopolysaccharide-Induced Acute Lung Injury in Mice. BioMed Research International . 2022;2022(1):p. 3510423. doi: 10.1155/2022/3510423. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100.Olayinka J. N., Akawa O. B., Ogbu E. K., Eduviere A. T., Ozolua R. I., Soliman M. Apigenin Attenuates Depressive-Like Behavior via Modulating Monoamine Oxidase A Enzyme Activity in Chronically Stressed Mice. Current Research in Pharmacology and Drug Discovery . 2023;5(5):p. 100161. doi: 10.1016/j.crphar.2023.100161. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supporting Information

Additional supporting information can be found online in the Supporting Information section.

1244498.f1.docx (3.9MB, docx)

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.


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