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The impact of seasonal variation on the composition of the volatile oil of Polyalthia suberosa (Roxb.) Thwaites leaves and evaluation of its acetylcholinesterase inhibitory activity

Abstract

Background

Polyalthia suberosa (Roxb.) Thwaites (Annonaceae) is a medicinal plant that has been reported for its various pharmacological potentials, such as its anti-inflammatory, analgesic, antioxidant, and neuropharmacological activities. This study aimed to analyze the leaf essential oils of P. suberosa (PSLO) collected in different seasons, to evaluate the acetylcholinesterase inhibitory activity, and to corroborate the obtained results via in-silico molecular docking studies.

Methods

The leaf essential oils of P. suberosa collected in different seasons were analyzed separately by GC/MS. The acetylcholinesterase inhibitory activity of the leaves oil was assessed via colorimetric assay. In-silico molecular docking studies were elucidated by virtual docking of the main compounds identified in P. suberosa leaf essential oil to the active sites in human acetylcholinesterase crystal structure.

Results

A total of 125 compounds were identified where D-limonene (0.07 − 24.7%), α-copaene (2.25 − 15.49%), E-β-caryophyllene (5.17 − 14.42%), 24-noroleana-3,12-diene (12.92%), β-pinene (0.14 − 8.59%), and α-humulene (2.49–6.9%) were the most abundant components. Results showed a noteworthy influence of the collection season on the chemical composition and yield of the volatile oils. The tested oil adequately inhibited acetylcholinesterase enzyme with an IC50 value of 91.94 µg/mL. Additionally, in-silico molecular docking unveiled that palmitic acid, phytol, p-cymene, and caryophyllene oxide demonstrated the highest fitting scores within the active sites of human acetylcholinesterase enzyme.

Conclusions

From these findings, it is concluded that P. suberosa leaf oil should be evaluated as a food supplement for enhancing memory.

Peer Review reports

Introduction

Alzheimer’s disease (AD) is one of the challenging disorders of our century and is the root cause of dementia. Throughout the world, about 40 million people suffer from dementia, and this number is supposed to double as much every 20 years until approximately 2050 [1]. AD is a progressive, multifactorial, and neurodegenerative disorder. The pathology of AD may be attributed to several factors such as extracellular deposition of Aβ peptide and the intracellular aggregation of tau protein. In addition, the significant decrease in the neurotransmitter acetylcholine (ACh) in the brain is associated with the advancement of AD. Therefore, the enhancement of the central cholinergic function by acetylcholinesterase inhibition is one of the powerful ways to treat AD [2, 3]. Rivastigmine and tacrine, common drugs against AD possessing acetylcholinesterase (AChE) inhibitory activity, are reported to exert numerous side effects such as liver toxicity, nausea, and diarrhea [2]. Nature has provided us with foods and phytoconstituents that are valuable to human health. Nowadays, natural products attained much interest and played essential roles in the treatment of many diseases [4, 5]. In this context, galantamine isolated from plant source has been used as an AChE inhibitor in several countries with mild side effects [6].

Genus Polyalthia, belonging to family Annonaceae, comprises more than 100 species widely distributed in tropical and subtropical regions, including South Asia, South East Asia, and Australia [7]. Traditionally, P. longifolia has been used to treat many ailments such as fever, headache, high blood pressure, diabetes, and infections [8]. Fruits of P. suberosa have been used as anti-diarrheal. The leaves have been used to treat colds and coughs, and the barks have been used as analgesic [9]. Reported biological activities include antioxidant, anti-inflammatory, anticancer, antibacterial, and antiviral [7, 10, 11].

Polyalthia suberosa (Roxb.) Thwaites is an evergreen shrub traditionally used as laxative, abortifacient, analgesic, and in treatment of numerous skin infections. It was reported that different extracts of P. suberosa exerted anti-inflammatory, analgesic, anti-bacterial, antioxidant, and neuropharmacological activities [9, 10]. Despite the biological importance of this plant, the isolated essential oil from the leaves wasn’t fully investigated, only the cytotoxic and antimicrobial activities have been studied [12].

The chemical composition of plants is known to be affected by various extrinsic factors including climate, phenological phases, altitude, and soil. Thus, the chemical composition of essential oils and biological activity, which is dependent on the composition, are susceptible to variations [13, 14].

The present study was designed to investigate the composition of the volatile oils isolated from P. suberosa fresh leaves (PSLO), cultivated in Egypt, by Gas Chromatography/Mass Spectrometry (GC/MS) and the effect of seasonal variation on the yield and composition of these volatiles was assessed. Furthermore, the acetylcholinesterase inhibitory activity was evaluated. In addition, molecular docking was implemented to evaluate the binding affinities between the major oil components and acetylcholinesterase enzyme. ADMET prediction was carried out to evaluate the pharmacokinetics, pharmacodynamics, and toxicity properties of the identified compounds. This can help understand the possible use of PSLO as acetylcholinesterase inhibitor for incorporating this oil in formulations to treat AD.

Materials and methods

Plant material

The fresh leaves of P. suberosa were collected from Zoo Garden, Giza, Egypt; and was identified and authenticated by Mrs Therese Labib, Plant Taxonomy Consultant at Ministry of Agriculture and El-Orman Botanical Garden, Giza, Egypt. Leaves were collected in four seasons (2019 and 2020); namely winter (January), spring (April), summer (August), and autumn (November). A voucher specimen of the plant (PHG-P-PS-297) was stored at the Pharmacognosy Department, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt.

Isolation of volatile constituents

Fresh leaves of P. suberosa (200 g), collected in four different seasons, were exposed to six hours of hydrodistillation using a Clevenger-type apparatus. The oil yields were measured in %w/w based on the initial weight of the plant. The oils were kept for further analysis in sealed vials at 4 °C.

GC/MS analysis

GC/MS analysis was carried out using Shimadzu GC/MS-QP 2010 (Kyoto, Japan) supplied with Rtx-5MS capillary column (30 m x 0.25 mm i.d. x 0.25 μm film thickness) (Restek, USA). The initial oven temperature was kept at 45 °C for 2 min (isothermal), then heated to 300 °C at a rate of 5 °C/min and kept constant at 300 °C for 5 min (isothermal). The injector temperature was held at 250 °C. The used carrier gas was helium using a constant flow rate of 1.41 mL/min. An auto sampler was used to inject the sample (1 µL) and the split ratio was 15:1. The MS conditions were as follows: (equipment current) filament emission current: 60 mA, ion source temperature: 200 °C, ionization voltage: 70 eV and scan range: 35–500 amu [15].

Identification of volatile constituents

Identification of volatile constituents was achieved by comparison of their retention indices, their mass spectra and fragmentation patterns with the National Institute of Standards and Technology (NIST-17) database, Adams, and literature [16,17,18,19,20,21,22,23,24,25]. Retention indices (RI) were deduced relative to a homologous series of n-alkanes (C8-C28) injected under the same conditions as the essential oils [26].

Acetylcholinesterase inhibitory activity

Acetylcholinesterase inhibitory activity was assessed according to the method of Ellman et al. [27] with some modifications. AChE was obtained from Electrophorus electricus. 3,3′-Dithiodipropionic acid di-(N-hydroxysuccinimide ester) (DTNB) was used as an indicator. The indicator solution (10 µL) was transferred to a 96-well plate, followed by 20 µL of the enzyme solution, then 20 µL of oil samples at a concentration range of (100-5 µg/mL) were added. Afterwards, 10 µL of the substrate acetylcholine iodide was added to all wells. The plate was incubated in a dark chamber for 20 min at room temperature. At the end of the incubation period, the color was measured at 412 nm using a microplate reader. Donepezil was used as a positive control. Percentage inhibition was calculated using this formula:

$$\begin{array}{l} \text{P}\text{e}\text{r}\text{c}\text{e}\text{n}\text{t}\text{a}\text{g}\text{e}\,\text{i}\text{n}\text{h}\text{i}\text{b}\text{i}\text{t}\text{i}\text{o}\text{n}=\\\frac{\left(\text{A}\text{b}\text{s}\text{o}\text{r}\text{b}\text{a}\text{n}\text{c}\text{e}\,\text{o}\text{f}\,\text{c}\text{o}\text{n}\text{t}\text{r}\text{o}\text{l}-\text{a}\text{b}\text{s}\text{o}\text{r}\text{b}\text{a}\text{n}\text{c}\text{e}\,\text{o}\text{f}\,\text{s}\text{a}\text{m}\text{p}\text{l}\text{e}\right)}{\text{A}\text{b}\text{s}\text{o}\text{r}\text{b}\text{a}\text{n}\text{c}\text{e}\,\text{o}\text{f}\,\text{c}\text{o}\text{n}\text{t}\text{r}\text{o}\text{l} }\times 100\end{array}$$

IC50 (concentration of sample used to inhibit 50% of acetylcholinesterase under the test conditions) was calculated as previously reported [27, 28].

Statistical analysis

Data was presented as mean ± SD of three measurements. The IC50 values were calculated by Microsoft Excel 2010 (level of significance p < 0.05).

In-silico molecular docking study

Molecular docking study

Cholinesterase inhibitory activity was farther elucidated by virtual docking of the main compounds identified in PSLO to the active sites in human acetylcholinesterase (PDB ID: 4EY7, 2.35 Å) crystal structure, using Discovery Studio 2.5 (Accelrys Inc., San Diego, CA, USA). The complex of the human acetylcholinesterase crystal structure with donepezil, a pharmacologically active Alzheimer’s disease drug, was retrieved from the Protein Data Bank (http://www.rcsb.org/pdb/), accessed on 23rd October 2023. Donepezil, the co-crystallized inhibitor, was employed to identify the active binding sites in the AChE enzyme. The ligand was taken out before the docking simulations. Discovery Studio 4.5 (Accelrys Inc., San Diego, CA, USA) was utilized acquiring the C-docker protocol as previously described [15, 29,30,31,32]. To verify C-Docker as a docking algorithm, donepezil was removed from 4EY7, after that it was superimposed on the docked pose of the co-crystallized inhibitor and finally the root mean square deviation (RMSD) was calculated.

ADMET predictions

Absorption, distribution, metabolism, excretion, and toxicity (ADMET) were predicted for the main compounds identified in PSLO implementing ADMET prediction protocol in Discovery Studio 4.5 (Accelrys Inc., San Diego, CA, USA).

Results and discussion

GC/MS analysis

The essential oils of P. suberosa fresh leaves were prepared using hydrodistillation technique. All volatile oil samples were light yellow in color, displaying a characteristic odor. The oil yields of summer, autumn, winter, and spring were 0.03, 0.04, 0.02, and 0.07%w/w, respectively. The highest yield was obtained from leaves collected during spring (0.07%w/w) followed by summer (0.03%w/w) while the lowest yield was obtained during winter (0.02%w/w).

GC/MS analyses of the volatile oil samples showed distinctive qualitative and quantitative differences. A meticulous comparative analysis of the oils is described in Table 1. The chemical structures of the major compounds are shown in Fig. 1. Identified compounds for the different samples accounted for 96.52, 85.5, 95.79, and 81.92% of the total composition in summer, autumn, winter, and spring seasons, respectively. A total of 125 compounds belonging to different classes were identified by comparing their mass fragmentation patterns and retention indices to the reported data and NIST library. A bar chart of the different components of P. suberosa volatile oils was constructed to show the qualitative and quantitative differences among the volatile samples (Fig. 2). GC/MS chromatograms of the leaves volatile oils of different seasons are shown in Fig. S1.

Table 1 Chemical profile of Polyalthia suberosa volatile oils in four different seasons
Fig. 1
figure 1

Structures of the major components identified in P. suberosa leaf volatile oil in different seasons

Fig. 2
figure 2

Bar chart of P. suberosa volatile constituents in four different seasons

The identified compounds were classified into eight classes; as shown in Fig. 3 with sesquiterpene hydrocarbons being the most abundant class, ranging from 21.53 to 56.62% of the total volatile oils composition, where, the highest concentration was found in summer volatile oil (56.62%), followed by spring volatile oil (46.89%), then winter volatile oil (22.2%), and the lowest concentration was found in autumn volatile oil (21.53%). This finding was in accordance with previous reports, where sesquiterpene hydrocarbons (52.9–84.8%) were the predominant constituents of P. sumatrana, P. stenopetalla, P. cauliflora, and P. rumphii [33].

Fig. 3
figure 3

Seasonal variation of phytochemical classes observed in P. suberosa volatile oils

α-Copaene (2.25–15.49%), E-β-caryophyllene (5.17–14.42%), α-humulene (2.49–6.9%), bicyclogermacrene (1.58–5.57%), and δ-cadinene (1.86–4.93%) were the most abundant compounds of sesquiterpene hydrocarbons present in all seasons’ volatile oils. On the other hand, few compounds were detected only in a specific season. For example, γ-elemene (0.19%) and α-guaiene (0.53%) were detected in spring volatile oil only, meanwhile, aromadenderene (0.35%) was detected in summer volatile oil only. Our results were in accordance with the reported data in literature. For instance, P. suberosa leaf oil was reported to contain bicyclogermacrene (26.26%) and (E)-β-caryophyllene (7.79%) as the predominant constituents of the leaf oil [12]. The volatile oils of P. harmandii, P. suaveolens, and P. longifolia var pendula leaves contained major sesquiterpene hydrocarbons such as bicyclogermacrene (20.9%), α-humulene (34.2%), and E-β-caryophyllene (30%), respectively [34].

Monoterpene hydrocarbons were the second most abundant class of compounds, with the highest concentration detected in winter volatile oil sample (39.25%) and the least concentration detected in spring volatile oil (0.32%). D-limonene was the most abundant compound of this class with concentrations of 2.63, 0.74, 24.7 and 0.07% in summer, autumn, winter, and spring, respectively. β-Pinene was detected with the highest concentration in summer volatile oil (8.59%) and the least concentration in spring volatile oil (0.14%). Monoterpenes were detected in P. suaveolens stem bark in small amount accounting for 2.2% of the total oil composition [35]. However, they weren’t detected in P. sumatrana, P. stenopetalla, P. cauliflora, and P. rumphii essential oils. The difference of the chemical composition among Polyalthia species could be due to the different stages of development, extraction procedures, and specific region where the plant was harvested [33].

Non-terpenic compounds represented 1.94–29.92% of the total volatile oil composition, with the highest concentration found in winter volatile oil sample (29.92%), followed by spring volatile oil (8.53%), then autumn volatile oil (5.22%), and the least concentration was detected in summer volatile oil (1.94%). 3-methyl heneicosane (0.21–3%) and 3-methyl tetracosane (0.51–2.99%) were the most abundant compounds of this class. Oxygenated sesquiterpenes represented 1.91–15.46% of the total volatile oil composition. Spring volatile oil exhibited the highest concentration (15.46%), meanwhile, winter volatile oil exhibited the least concentration (1.91%). The most abundant compound in this class was caryophyllene oxide (1.12–6.27%). Previous study on P. michaelii leaves essential oil revealed that the major compound was spathulenol (42.2%) [34].

Non-terpenic oxygenated compounds were detected in three seasons only, their concentrations were 8.02, 4.11, and 2% in summer, autumn, and spring volatile oils, respectively. Long chain aldehydes, esters and acids were detected, such as nonanal (C9, present in summer and spring volatile oils), oleic acid (present in autumn volatile oil), and palmitic acid, methyl ester (present in summer, autumn, and spring volatile oils).

Diterpenic hydrocarbons represented 0.59 to 5.32% of the total volatile oil composition. Four compounds were detected phytane, phytol, isoincensole, and verticilla-4(20),7,11-triene. Oxygenated monoterpenes were detected in summer (2.49%), autumn (0.73%), and spring (0.86%) volatile oils only. Borneol acetate (0.13–1.24%) was the most abundant member of this class. The last group contained a variety of classes such as α-ionone and (E)-β-damascenone (norisoprenoids, which are produced by oxidative cleavage of carotenoids and are responsible of the aroma of plants such as tobacco [36]). Sterols were also identified as γ-sitosterol and campesterol. Sterols were previously detected in family Annonaceae [37].

Previous study reported that P. sessiliflora stem oil contained eugenol as the predominant compound with a concentration of 42.7% of the total oil composition. It may be possible to postulate that every species has its own compositional pattern [34].

These findings corroborate the idea that seasonal variation can cause the variation of the composition of volatile oil and affect the oil yield [38]. Several factors can lead to the variation in the essential oil content and its composition, such as light, temperature, reproductive stage, season, and the growing conditions which is in accordance with results reported before [26, 39, 40]. From our findings, we have deduced that seasonal variation can cause alterations in both yield and chemical composition of the tested sample; the highest yield season was spring and the best season for volatile oil production.

Acetylcholinesterase inhibitory activity

Medicinal plants and their essential oils have been a prominent source for various activities such as enzyme inhibition as a safer option than synthetic drugs [26, 41, 42]. Polyalthia essential oils have been reported to exert numerous biological activities including; cytotoxic [12, 43], antimicrobial [12, 44, 45], anti-inflammatory [43], and insecticidal activities [46].

Alzheimer’s disease (AD), a progressive neurodegenerative disorder, that affects the older and pre-elderly population. This neurological disorder issues from a shortage of acetylcholine (ACh) and is described by exacerbated brain tissue degeneration [47].

Acetylcholine, a neurotransmitter released by cholinergic neurons in synaptic gaps, is involved in memory and learning behaviors. Its decrease has been related to AD [48]. Inhibition of AChE, a cholinergic enzyme found at postsynaptic neuromuscular junctions that breaks down ACh into acetic acid and choline [49], can increase the level of acetylcholine in the brain alleviating the symptoms of the disease and improving cognitive function [50].

To the best of our knowledge, the AChE inhibitory activity of PSLO has never been reported before. However, some alkaloids isolated from P. stenopetala and P. sumatrana inhibited AChE with percentage inhibition values ranging from 40.2 to 80.6% [51, 52].

The percentage inhibition of 10 µg/mL and 100 µg/mL of PSLO were 16.15\(\pm\)2.17% and 51.44\(\pm\)2.8%, respectively (Table 2). The inhibitory activity of different concentrations of standard (Donepezil) and essential oil is summarized in supplementary information (Fig. S2).

Table 2 Acetylcholinesterase inhibitory effect of P. suberosa leaf volatile oil

According to Taqui et al. [53], plant extracts/fractions which have AChE inhibitory activity were classified into three categories based on their IC50 values: high potency, IC50 < 20 µg/mL; moderate potency, 20 < IC50 < 200 µg/mL; and low potency, 200 < IC50 < 1000 µg/mL. PSLO showed moderate potency against AChE with IC50 value of 91.94 µg/mL as shown in Table 2.

The anti-AChE activity of the tested oil may be attributed to the synergistic effect of its components, especially monoterpenes and sesquiterpenes. It has been reported that essential oils containing monoterpenes had the tendency to exhibit good AChE inhibitory effect [54]. D-Limonene was reported to exhibit potent AChE inhibition activity with IC50 value of 3.54 mM [55]. α-Pinene showed a strong AChE inhibitory activity with IC50 value of 0.022 mg/mL, meanwhile, α-terpineol showed a weak activity with IC50 value of 1.3 mg/mL [56]. Linalool and γ-terpinene exhibited weak inhibition of AChE [57]. In addition, several compounds were reported to exhibit anti-cholinesterase activity such as camphene [58], p-cymene [59], β-pinene, 2-carene, terpinolene, linalool [60], and sabinene [61]. A study showed that the effect of administration of myrcene, a monoterpene, alone or with donepezil significantly reversed the neurodegenerative effects of AlCl3 and D-galactose in mice, where myrcene enhanced the cholinergic activity and reduced neuroinflammation [62].

Liu et al. studied the interactions between the individual volatile components on AChE inhibition. The study showed that α-terpinolene displayed synergistic effect with sabinene, limonene, and α-pinene. Sabinene had synergistic effects with both limonene and 4-terpineol [63].

It was reported that essential oils containing mainly sesquiterpenes compared to the oils containing monoterpenes were more potent inhibitors of AChE activity, and the same was observed in the case of mixtures dominated by sesquiterpenes where they showed stronger inhibition than mixture dominated by monoterpenes [64]. For instance, a study reported that a combination of (E)-β-caryophyllene, α-pinene, and α-humulene (31:17:10) exhibited more potent inhibitory activity with IC50 value of 25 µg/mL compared to the G. bicolor leaf oil IC50 value of 85 µg/mL which contained the three major volatile components. Meanwhile, the stem oil of the G. bicolor containing α-pinene, β-pinene, and (E)-β-caryophyllene showed inhibitory activity with IC50 value of 92 µg/mL. A mixture of α-pinene, β-pinene, and (E)-β-caryophyllene (61:14:5) was more potent at inhibiting AChE activity than the stem oil [65].

α-Copaene, E-β-caryophyllene, α-humulene, and α-farnesene were reported to exhibit moderate AChE inhibitory activity [50]. Farnesene was reported to possess neuroprotective effect via significantly ameliorating the cytotoxicity of β-amyloid peptides and decreasing AChE activity [66].

Bonesi et al. reported that trans-caryophyllene inhibited AChE with a percentage of 32% at 0.06mM [61]. An in-vivo study showed that germacrene D significantly inhibited AChE in rat brain structures with percentage over 50% [67]. α-Copaene showed strong synergism combined with both (E)-β-caryophyllene and α-humulene [54].

Other compounds also were reported to possess promising AChE inhibitory activity such as viridiflorol and elemol that strongly inhibited AChE with IC50 values of 25 and 34 µg/mL, respectively [68]. Caryophyllene oxide showed strong AChE inhibitory activity [69]. Phytol improved cognitive functions in scopolamine-induced AD in rats by inhibiting AChE and butyrylcholinesterase enzyme [70]. Palmitic acid and squalene showed inhibition of AChE using TLC bio-autography assay [71].

The biological activity of the essential oil is due to the chemical complexity of the essential oil and the contribution of its individual constituents, since each constituent of this complex is included in the overall activity or may modulate the effects of the other constituents [72]. In this sense, we suggest further studies to isolate the oil components and test their AChE inhibitory activity as individuals.

These findings suggest a synergistic effect between different compounds identified in PSLO with higher contribution of certain components to this activity [63, 65], thus highlighting the use of the isolated oil as an adjuvant therapy in treatment of Alzheimer’s disease [73].

In-silico molecular docking study

Molecular docking study

PSLO exhibited notable AChE inhibitory activity; thus, an in-silico molecular docking study was carried out to corroborate the attained results. The human acetylcholinesterase crystal structure was obtained from the Protein Data Bank (http://www.rcsb.org/pdb/) complexed with donepezil (PDB ID 4EY7; 2.35 Å). Donepezil, the co-crystallized ligand, was utilized to identify the amino acid residues in the active site of acetylcholinesterase enzyme. The computed free binding energies ∆G (Kcal/mol) of major compounds found in PSLO were displayed in Table 3. Furthermore, the docking parameters were validated by re-docking the co-crystallized ligand into the active site of acetylcholinesterase. The calculated RMSD value between the co-crystallized ligand and the docked pose was 0.32 Å indicating the validity of the docking protocol (Fig. 4).

Table 3 Free binding energies (∆G) of the major identified compounds in Polyalthia suberosa leaf essential oil within the active sites of human acetylcholinesterase using molecular docking and expressed in Kcal/mol. Positive values indicate unfavorable interaction
Fig. 4
figure 4

Validation of the docking protocol

Palmitic acid, phytol, p-cymene, and caryophyllene oxide showed the best affinity and fitting (Supplementary information Fig. S3), displaying free binding energy values of -52.6742, -23.4315, -21.6335, and − 5.84702 Kcal/mol, respectively, with palmitic acid exceeding the value of the standard drug donepezil which exhibited ∆G equals to -28.9953 Kcal/mol.

AChE active site, located at the centre bottom of the enzyme molecule, is a 20 Å deep gorge. The active site consists of several subsites. These important sites and residues are catalytic triad (Ser203, His447, Glu334), anionic subsite (Trp86, Tyr133, Glu202, Gly448, Ile451), oxyanion hole (Gly121, Gly122, Ala204), acyl binding pocket (Trp236, Phe295, Phe297, Phe338) and peripheral anionic subsite (Asp74, Tyr124, Ser125, Trp286, Tyr337, Tyr341) [74].

The high fitting scores of these compounds within the active site of AChE can be clarified by their agreeable binding through the formation of various bonds. Palmitic acid formed one conventional hydrogen bond with Gly120. Meanwhile, phytol formed two conventional hydrogen bonds with Tyr133 and Glu202 and six π-alkyl bonds with Trp86, Tyr337, Phe338, Tyr341, and Tyr72. p-Cymene formed four π-alkyl bonds with Phe338, Tyr337, and Tyr341 in addition to one π-lone pair bond with Tyr124. Caryophyllene oxide formed one π-δ bond with Trp86 and six π-alkyl bonds with Trp86, His447, Phe297, and Phe338. Donepezil, the co-crystallized inhibitor, was used as the reference acetylcholinesterase inhibitor drug and formed two hydrogen-water bonds with HOH253, one conventional hydrogen bond with Phe295, two π-alkyl bonds with Tyr337 and Tyr341, two π-δ bonds with Tyr341 and Phe338, three π-π bonds with Trp86, Trp286, and Tyr34, and three hydrogen-carbon bonds with Ser293 and Tyr341. Noteworthy, all these compounds exhibited Van der Waals forces with the amino acid residues present in the active binding site of AChE.

ADMET

The aim of ADMET prediction, an important step in pharmaceutical R&D development, is to explore the drug-like properties of the identified compounds in PSLO. As shown in supplementary information (Table S1), most of the identified compounds in PSLO displayed very high and high penetration through blood brain barrier (BBB) which is important for the inhibition of AChE in the brain except for phytol, squalene, 24-noroleana-3,12-diene, and γ-sitosterol. Most compounds showed good and moderate intestinal absorption except phytol, squalene, 24-noroleana-3,12-diene, and γ-sitosterol. The compounds exhibited a range of water solubility varying from very poor solubility to good solubility.

Few compounds such as 24-noroleana-3,12-diene, α-copaene, camphene, caryophyllene oxide, E-β-caryophyllene, and γ-sitosterol exhibited certain hepatotoxicity. Fortunately, all the compounds were non-inhibitors for CYP2D6 except donepezil and germacrene D, thus, no drug-drug or drug-herb interactions would be encountered. However, most of the compounds exhibited plasma protein binding (PPB) leading to a decrease in free plasma fraction thus a decrease in the volume of distribution and decreasing the concentration of the drug at the site of action.

Those results are shown in ADMET plot (Fig. 5), where all compounds showed excellent intestinal absorption and blood-brain barrier penetration, as evidenced by their allocation in the 99% absorption ellipse. Concomitantly, phytol, squalene, 24-noroleana-3,12-diene, and γ-sitosterol that showed poor intestinal absorption and an undefined BBB penetration were positioned outside the 99% absorption ellipse.

Fig. 5
figure 5

ADMET Plot for bioactive metabolites identified in P. suberosa leaf essential oil displaying 95% and 99% confidence limit ellipses corresponding to blood-brain barrier (BBB) and human intestinal absorption models

Conclusion

Chemical profiling of the P. suberosa leaf volatile oils obtained in four different seasons unveiled that the composition and yield of the oil were varied according to seasonal changes. PSLO showed moderate acetylcholinesterase inhibition, this may be due to synergism between certain components of the oil. In-silico molecular docking unveiled that palmitic acid, phytol, p-cymene, and caryophyllene oxide demonstrated the best fitting scores within the active sites of human acetylcholinesterase enzyme. To the best of our knowledge, this is the first study to highlight the promising use of P. suberosa leaf essential oil as an adjuvant therapy in the management of Alzheimer’s disease. Further in-vivo neuroprotective investigations and validation of the isolated essential oil are recommended.

Data availability

Data are available upon request from the firstauthor.

Abbreviations

ACh:

Acetylcholine

AChE:

Acetylcholinesterase enzyme

AD:

Alzheimer’s disease

ADMET:

Absorption, distribution, metabolism, excretion, and toxicity

BBB:

Blood brain barrier

DMSO:

Dimethyl sulfoxide

DTNB:

3,3′-dithiodipropionic acid di-(N-hydroxysuccinimide ester)

GC/MS:

Gas Chromatography/Mass Spectrometry

PPB:

Plasma protein binding

PSLO:

P. suberosa leaf essential oil

RMSD:

Root mean square deviation

TLC:

Thin layer chromatography

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Acknowledgements

The authors would like to acknowledge the Science and Technology and Innovation fund (STIFA) for funding the research project number: 46667 under the title “sustainability of lab. capacities of center of drug discovery research and development”.

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Mahmoud, O.A., Ayoub, I.M., Eldahshan, O.A. et al. The impact of seasonal variation on the composition of the volatile oil of Polyalthia suberosa (Roxb.) Thwaites leaves and evaluation of its acetylcholinesterase inhibitory activity. BMC Complement Med Ther 24, 159 (2024). https://doi.org/10.1186/s12906-024-04443-z

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