A selective and sensitive UFLC-MS/MS method for the simultaneous determination of five alkaloids from Piper longum L. and its application in the pharmacokinetic study of 6-OHDA-induced Parkinson's disease rats

Abstract

The alkaloids from Piper longum L. (PLA) mainly contain piperine (PPR), piperlongumine (PPL), Δα,β-dihydropiperlonguminine (DPPL), piperanine (PPRA) and pellitorine (PLTR), which have neuroprotective effects on a 6-OHDA-induced rat model of Parkinson's disease (PD). To elucidate the pharmacokinetic profiles of these main compounds in PD rats, we developed a rapid, selective and sensitive ultra-fast liquid chromatography-electronic spray ionization-tandem mass spectrometry (UFLC-ESI-MS/MS) method which was validated for the simultaneous determination of the 5 absorbed compounds in the plasma of 6-OHDA-induced PD rats. The plasma samples were pretreated using a protein precipitation method with methanol/acetonitrile (1 : 1, v/v). The analytes and internal standard (IS) were separated on a Phenomenex Gemini C18 column using gradient elution with a mobile phase consisting of acetonitrile and a 0.1% formic acid aqueous solution at a flow rate of 0.5 mL min⁻¹. The total chromatographic running time was 4.5 min. The detection was performed with positive electrospray ionization (ESI) using the multiple reaction monitoring (MRM) mode of transitions at m/z 286.2 → 201.2, m/z 274.2 → 201.2, m/z 276.2 → 135.1, m/z 288.2 → 135.1, m/z 224.1 → 168.2, and m/z 472.1 → 436.1 for PPR, PPL, DPPL, PPRA, PLTR and IS, respectively. All five analytes showed excellent linearity (R > 0.995) within the concentration range of 0.20–5000 ng mL⁻¹. The established method was then applied to investigate the pharmacokinetics of multi-components (PPR, PPL, DPPL, PPRA and PLTR) in PD rats after oral administration of PLA. The results showed that no obvious differences were observed in the pharmacokinetic parameters of PPR, PPL, DPPL, PPRA and PLTR in PD rats compared with those in sham rats after oral administration of PLA except for MRTs for PPR, PPL and PLTR. Additionally, the activities of superoxide dismutase (SOD) were related to the concentrations of the multi-components in plasma.

Five alkaloids from Piper longum L. were simultaneously determined by UFLC-MS/MS and applied in the pharmacokinetic study in PD rats.

Introduction

Piper longum L. is cultivated in the tropical and subtropical regions of Asia and the Pacific islands, and its fruit, Piperis Longi Fructus, is wildly used in traditional Chinese medicine and Indian medicine. P. longum contains abundant amide alkaloids including piperine (PPR), piperlonguminine (PPL), Δα,β-dihydropiperlonguminine (DPPL), etc. Studies have showed that these components have anti-oxidant, anti-inflammatory, anti-tumor, anti-microbial, anti-obesity, anti-hyperlipidemic and anti-depressant effects.^1–3 Our research results showed that the alkaloids from P. longum (PLA), which mainly contained PPR, PPL, DPPL, piperanine (PPRA) and pellitorine (PLTR), exerted neuroprotective effects in Parkinson's disease (PD) models induced by neurotoxins such as 6-hydroxydopamin (6-OHDA), 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP), rotenone and lipopolysaccharide (LPS). Furthermore, PPR and PPL could improve cell viability and alleviate motor deficits and loss of midbrain dopaminergic neurons in PD cell and mouse models induced by rotenone. These effects had an association with restoring the balance between autophagy and apoptosis. It was also found that the activity of superoxide dismutase (SOD) was enhanced in PD rat after administration of PLA.^4–9 SOD plays a significant role in protecting cells from oxidative stress and preventing neuronal apoptosis.

The pharmacokinetic behaviors of the components in the model group might be different compared with those in the normal group due to the changes of the function and expression of many enzymes, transporters and intestinal bacteria related to the transportation and metabolism of drugs in the pathological status.^10–12 A few studies have reported pharmacokinetics of traditional Chinese medicine in the models of neurological diseases such as Alzheimer's disease (AD), chronic depression, insomnia and migraine. The results indicated that most of components had no obvious differences in pharmacokinetic parameters between the normal and model group, while only the absorption of some compounds were changed more rapidly in model group than those in the normal group.^13–16 The pharmacokinetic evaluations of some drugs and pro-drugs for treatment of patients with PD by stabilizing levodopa plasma concentration have been reported recently.^17–20 But few studies on the pharmacokinetics of traditional Chinese medicine in the animal models of PD were reported by now except for Shouwu Fang.²¹ Our previous research focused on the pharmacokinetic properties of PPR and PPL and tissue distribution characteristics of PPR, PPL and DPPL in normal rats after oral administration of PLA, which showed that these three alkaloids could cross the blood–brain barrier.^22,23 Based on the above considerations, we would like to know if there are differences in the pharmacokinetic characteristics of the main alkaloids of PLA between the PD rats and the normal rats.

The aims of the study were to develop a rapid, accurate, selective and sensitive ultra-fast liquid chromatography-electronic spray ionization-tandem mass spectrometry (UFLC-ESI-MS/MS) method for determining simultaneously the contents of 5 amide alkaloids (PPR, PPL, DPPL, PPRA and PLTR) in rat plasma, and then applied to comparative pharmacokinetics of multi-components in the 6-OHDA-induced PD rats and the sham rats after oral administration of PLA. The correlations between the SOD activities and concentrations of five alkaloids in plasma were investigated. The results could provide some evidences for understanding the mechanism of PLA in dynamic perspective and give valuable information for drug development as an antiparkinsonian agent.

Materials and methods

Chemicals and regents

PLA was prepared by our laboratory and contained 49.07% PPR, 1.42% PPL, 0.62% DPPL, 2.60% PPRA and 4.82% PLTR, which were determined by UFLC-ESI-MS/MS. P. longum was extracted with 75% ethanol by reflux extraction, fractionated by D101 macroporous resin column chromatography and eluted with the gradient ethanol–H₂O (20 : 80, 60 : 40, 85 : 15, v/v) to give three fractions (Frs I–III). Fr. II was evaporated to dryness, which was used as PLA. Terfenadine (internal standard, IS) were purchased from Sigma-Aldrich (St. Louis, MO, USA). The reference standards of PPR, PPL, DPPL, PPRA and PLTR were isolated and purified by our laboratory. Their structures shown in Fig. 1 were identified by Fourier transform mass spectrometry (FT-MS) and nuclear magnetic resonance (NMR). The purities of all the reference standards determined by HPLC are higher than 98%. SOD kit was bought from Nanjing Jiancheng Bioengineering Institute (Jiangsu, China).

Fig. 1. Full-scan product ion spectra of [M + H]⁺ ions and fragmentation pathways for (A) PPR, (B) PPL, (C) DPPL, (D) PPRA, (E) PLTR and (F) terfenadine (IS).

LC-MS grade methanol, acetonitrile and HPLC-grade formic acid were purchased from Fisher (Fair Lawn, NJ, USA). HPLC-grade water was prepared using a Milli-Q water purification system (Millipore, MA, USA).

Instruments and conditions

Assays were carried out on an LC-20A series UFLC system (Shimadzu, Kyoto, Japan) equipped with a system controller (CBM-20A), a binary solvent delivery system (LC-20AD), an automatic injector (SIL-20AC), a column oven (CTO-20A) and an API 4000 triple-quadrupole mass spectrometer coupled with an electrospray ionization (ESI) source (Applied Biosystems, CA, USA). Analyst software (version 1.6.1) was used for data acquisition and processing. A Phenomenex Gemini C18 column (50 mm × 2.00 mm, 5 μm) was used to carry out the chromatographic separation of the analytes and IS. The mobile phase system was composed of 0.1% formic acid aqueous solution (A) and acetonitrile (B). The optimized UFLC elution conditions were: 0.01–0.60 min, 10% B, 0.60–1.50 min, 10–98% B, 1.50–3.00 min, 98% B, 3.00–3.01 min, 98–10% B, 3.01–4.50 min, 10% B. The flow rate was set at 0.5 mL min⁻¹ and the injection volume was 10 μL. The column was maintained at room temperature.

The MS analyses were operated in positive ESI mode, and the data were acquired by multiple reaction monitoring (MRM). High purity nitrogen was used as the curtain gas (CUR), nebulizer gas (GS1) and heater gas (GS2). The optimized parameters were as follows: pressure of CUR, 20 psi; pressure of GS1 and GS2, 60 psi; ion spray voltage, 5000 V; capillary temperature, 550 °C; entrance potential (EP), 10 V; collision-activated dissociation (CAD), medium; collision cell exit potential (CXP), 15 V. The selected precursor ion of Q1 (m/z) and product ion of Q3 (m/z), declustering potential (DP) and collision energy (CE) of PPR, PPL, DPPL, PPRA, PLTR and IS are listed in Table 1.

The precursor ion, product ion, DP and CE of PPR, PPL, DPPL, PPRA, PLTR and IS.

Compound	Q1 (m/z)	Q3 (m/z)	DP (V)	CE (eV)
PPR	286.2	201.2	112	28
PPL	274.2	201.2	94	25
DPPL	276.2	135.1	97	32
PPRA	288.2	135.1	117	38
PLTR	224.1	168.2	93	27
IS	472.1	436.1	130	50

Preparation of standard solutions

PPR, PPL, DPPL, PPRA and PLTR was dissolved in methanol and prepared to 1.00 mg mL⁻¹ stock standard solutions. Standard solutions, which contained eight concentrations of 2, 5, 20, 50, 200, 500, 1000 and 2000 ng mL⁻¹ for PPR, PPL, DPPL and PPRA and 50, 125, 500, 1250, 5000, 12 500, 25 000 and 50 000 ng mL⁻¹ for PLTR, and quality control (QC) solutions at low, medium and high concentration (6, 100, 1600 ng mL⁻¹ for PPR, PPL, DPPL and PPRA; 150, 2500, 40 000 ng mL⁻¹ for PLTR) were prepared by further serially diluting the stock solution with methanol. The IS stock solution (1 mg mL⁻¹) was also prepared in methanol and then diluted to a final concentration of 10 ng mL⁻¹ with methanol/acetonitrile (1 : 1, v/v).

Sample preparation

A 50 μL aliquot of plasma sample mixed with 300 μL of IS solution and 5 μL methanol (or a standard or QC solution) was vortexed for 3 min, and then centrifuged at 12 000 g for 10 min. The supernatant was separated and stored, of which 10 μL was injected for analysis. Prior to analysis, samples with concentrations above the highest standard were diluted with blank plasma.

Method validation

Selectivity

The chromatograms of blank plasma samples, blank plasma samples spiked with standards and IS, and plasma samples collected after oral administration of PLA spiked with IS were compared and evaluated the selectivity of the method.

Linearity of calibration and LLOQs

The calibration curves for the five alkaloids were established respectively by plotting peak area ratio (y) of each analyte to IS versus concentration of each analyte (x) using the weighted (1/x²) least-square linear regression. Lower limit of quantification (LLOQ) was defined as the lowest concentration on each calibration curve of corresponding analyte which was determined with acceptable precision and accuracy within 20% at the signal to noise (S/N) ratio of 10 : 1.

Precision and accuracy

Six replicate QC samples at three concentration levels (low, medium, and high) were analyzed on the same day and on three consecutive days for the intra/inter-day precision and accuracy, respectively. The precision was expressed as relative standard deviation (RSD, %) and accuracy as relative error (RE, %).

Extraction recovery and matrix effect

The extraction recoveries of five compounds were evaluated by comparing the analytical results of extracted QC samples with those of post-extracted blank plasma samples spiked with the analytes and IS at corresponding concentrations. The matrix effect was assessed by comparing the analytical results of samples obtained by spiking the analytes and IS into post-extracted matrix with those of samples obtained by spiking the analytes and IS into methanol.

Stability

The stabilities of five analytes in rat plasma were evaluated with QC samples at three concentration levels under various storage and processing conditions including three freeze–thaw cycles, long-term cryopreservation (−80 °C, 30 d), short-term placement (4 °C, 48 h) and autosampler (20 °C, 4 h).

Animals

Fifteen male Sprague-Dawley rats (220 ± 20 g) were purchased from the Beijing Vital River Lab Animal Technology Co., Ltd. (Beijing, China). The rats were housed under standard conditions at a temperature of 25 ± 2 °C, a relative humidity of 50 ± 15%, a 12 h dark–light cycle, with food and water were provided ad libitum. All experimental procedures were approved by Animal Experiments and Experimental Animal Welfare Committee of Capital Medical University. Our research had acquired the ethics approval with the number AEEI-2015-082.

After one week of acclimatization to the new surroundings before experimental surgery, the rats were randomly divided into two groups: sham group (n = 5), PD group (n = 10). The PD rats were injected 3.0 μL 6-OHDA (4 mg mL⁻¹) which was dissolved in 0.02% ascorbic acid saline into the left striatum following a previous described protocol.⁶ The three injection positions were anteroposterior 0.7 mm, lateral 2.6 mm and dorsoventral 6.0, 5.5, 5.0 mm from bregma, respectively. Inject 1.0 μL 6-OHDA solution gradually into each target point at a rate of 1.0 μL min⁻¹. After injection, the needle was left in the target area for 5 min to prevent backfilling and then slowly removed. The sham group was injected with 1.0 μL vehicle (0.02% ascorbic acid saline). After 5 weeks of the surgery, the rats were injected subcutaneously with 0.5 mg kg⁻¹ apomorphine which was dissolved in physiological saline to observe the rotational behavior. Two days before the experiment, the jugular veins of anesthetized rats injected intravenously with 50 mg kg⁻¹ pentobarbital were cannulated with polyethylene tubing. The cannula filled with heparinized saline (20 units per mL) was externalized at the back of the neck.

Application in pharmacokinetic study

The sham rats were defined as PLA-Sham group. The PD rats were divided into PLA-PD group and PPR-PD group. Both PLA-Sham and PLA-PD groups were orally administered a 50 mg kg⁻¹ dose of PLA, and PPR-PD group was orally administered a 25 mg kg⁻¹ dose of PPR. PLA and PPR were dissolved in 0.5% sodium carboxymethyl cellulose aqueous solution to obtain a final concentration of 10 mg mL⁻¹ and 5 mg mL⁻¹, respectively. At various time points of 0.083, 0.25, 0.75, 0.5, 1, 2, 4, 6, 8, 12 and 24 h after dosing, about 200 μL of blood samples were collected from jugular vein and put into heparinized eppendorf tubes, and then centrifuged immediately at 5000g for 10 min. The supernatants were separated and used for analysis. Pharmacokinetic parameters including half-life (t_1/2), maximum plasma concentration (C_max), time to C_max (T_max), area under the concentration–time curve (AUC_last and AUC_Inf), and mean residence time (MRT) of the five compounds were analyzed with DAS Version 2.0 (BioGuider Co., Shanghai, China).

Measurement of SOD

The SOD activities in supernatant plasma samples were determined by measuring the absorbance value at 450 nm using the SOD assay kit according to the manufacturers' instructions.

Results and discussion

Optimization of chromatographic and mass spectrometry conditions

The chromatographic behaviors and ionization responses of PPR, PPL, DPPL, PPRA, PLTR and IS were evaluated by screening several commercial reversed phase HPLC columns and different mobile phases. Terfenadine which was easily available was selected as the IS. A Phenomenex Gemini C18 column (50 mm × 2.00 mm, 5 μm) was chosen for the separation of five analytes and IS. A gradient mobile phase system consisting of 0.1% formic acid aqueous solution (A) and acetonitrile (B) was used to obtain the acceptable peak shape and short analytical run time (4.5 minutes). The retention times were 2.51, 2.48, 2.47, 2.49, 2.62 and 2.19 min for PPR, PPL, DPPL, PPRA, PLTR and terfenadine, respectively.

Due to the presence of alkaline amide group in the structures of the five analytes, they produced strong signals in ESI positive ion mode. The instrument parameters were further optimized to increase ionization efficiency. The capillary temperature was set at 550 °C, and the ion spray voltage was set at 5000 V. The optimal collision energies were set at 28, 25, 32, 38, 27 and 50 eV, respectively. Full-scan product ion spectra of [M + H]⁺ ions and fragmentation pathways for PPR, PPL, DPPL, PPRA, PLTR and terfenadine are shown in Fig. 1. The piperidine ring of PPR and PPRA (m/z 85), isopropylamine of PPL, DPPL and PLTR (m/z 73) was broken after collision. However, the product ions including methylenedioxybenzyl (m/z 135) of DPPL and PPRA, and 2E,4E-decadienamide (m/z 168) of PLTR had the stronger signals. Therefore, the precursor-to-product ion transitions were monitored at m/z 286.2 → 201.2 for PPR, m/z 274.2 → 201.2 for PPL, m/z 276.2 → 135.1 for DPPL, m/z 288.2 → 135.1 for PPRA, m/z 224.1 → 168.2 for PLTR, and m/z 472.1 → 436.1 for terfenadine.

In general, recovery and matrix effect are significant items for the quantification of biological samples, so it is necessary to select an appropriate method of sample preparation. Liquid–liquid extraction was difficult to overall consider for these five compounds and time-consuming. And solid phase extraction was not only time-consuming, but also relatively expensive and difficult in the choice of stationary phase. In the present research, the protein precipitation method was used because of its easy operability and universal applicability, in which methanol/acetonitrile (1 : 1, v/v) was used as the precipitant.

Method validation

Selectivity

Selectivity was evaluated by comparing the chromatograms of blank rat plasma, blank rat plasma spiked with standards and PLA-PD rat plasma samples. The representative chromatograms are shown in Fig. 2. No endogenous interference was observed among the five analytes and IS, their MRM indicated that they had high selectivity.

Fig. 2. Representative chromatograms of (A) blank rat plasma, (B) blank rat plasma spiked with PPR (10 ng mL⁻¹), PPL (10 ng mL⁻¹), DPPL (10 ng mL⁻¹), PPRA (10 ng mL⁻¹), PLTR (250 ng mL⁻¹) and IS (1.0 ng mL⁻¹), and (C) an unknown PD rat plasma sample collected at 45 min after oral administration of 50 mg kg⁻¹ PLA.

Linearity of calibration curves

The standard calibration curves were set up by weighted linear regression of the peak area ratio (y) versus concentration of each analyte (x). The regression equations, correlation coefficients (R), linearity ranges and LLOQs of PPR, PPL, DPPL, PPRA and PLTR are listed in Table 2. The calibration curves for five analytes showed good linearity (R > 0.995).

Regression equations, correlation coefficients, linearity ranges and LLOQs of PPR, PPL, DPPL, PPRA and PLTR in rat plasma.

Compound	Range (ng mL−1)	Calibration curves	Correlation coefficient (R)	LLOQ (ng mL−1)
PPR	0.2–200	y = 0.1060x + 0.00605	0.9978	0.2
PPL	0.2–200	y = 0.0978x + 0.00422	0.9975	0.2
DPPL	0.2–200	y = 0.1640x + 0.00866	0.9980	0.2
PPRA	0.2–200	y = 0.1270x + 0.00627	0.9971	0.2
PLTR	5–5000	y = 0.0027x − 0.00088	0.9978	5.0

Precision and accuracy

The intra/inter-day precisions and accuracies of the five alkaloids in QC samples at three concentration levels (low, medium and high) were evaluated. The results are shown in Table 3. The precisions of the high- and medium-levels QC samples were within 15%, and that of the low-level were within 20% (RSD). The accuracies were ranged from 80% to 120%. The acceptable results indicated that the established method was reliable, accurate and reproducible.

Precisions, accuracies, recoveries and matrix effects of PPR, PPL, DPPL, PPRA and PLTR in QC samples at three concentration levels (n = 6).

Compound	Spiked (ng mL−1)	Intra-day		Inter-day		Recovery (%, mean ± SD)	Matrix effect (%, mean ± SD)
		Precision (RSD, %)	Accuracy (RE, %)	Precision (RSD, %)	Accuracy (RE, %)
PPR	0.6	7.71	0.83	2.84	−1.05	90.75 ± 6.42	101.60 ± 6.45
	10	7.75	−6.78	2.51	−4.16	94.44 ± 1.87	98.84 ± 1.91
	160	2.69	−11.88	3.78	−8.65	98.17 ± 0.93	98.92 ± 1.39
PPL	0.6	2.51	5.94	5.24	2.30	81.10 ± 7.45	104.52 ± 8.45
	10	3.97	3.68	4.03	2.33	94.11 ± 1.95	99.66 ± 2.12
	160	4.40	−5.10	5.05	−3.89	99.75 ± 1.60	99.03 ± 2.52
DPPL	0.6	2.94	1.03	5.10	−0.64	85.03 ± 2.95	96.96 ± 6.69
	10	10.8	8.00	4.25	5.22	97.00 ± 1.32	99.92 ± 2.12
	160	4.69	−2.60	4.11	−3.65	100.67 ± 1.78	99.02 ± 1.97
PPRA	0.6	4.35	−1.36	0.56	−0.72	94.37 ± 3.99	100.76 ± 4.96
	10	5.03	3.07	2.87	1.27	97.67 ± 1.17	99.39 ± 2.82
	160	3.19	−6.67	3.17	−5.66	100.33 ± 1.47	100.70 ± 2.77
PLTR	15	6.69	3.00	4.65	−1.22	88.92 ± 3.02	90.63 ± 6.96
	250	4.15	3.87	6.65	−3.53	103.72 ± 2.86	99.07 ± 4.21
	4000	1.97	4.46	4.54	−0.04	102.57 ± 1.53	98.70 ± 2.19

Recovery and matrix effect

As shown in Table 3, the recoveries of the five analytes were within the range of 81.10–103.72% and the matrix effects were controlled from 90.63% to 104.52%. The protein precipitation method was effective, stable and free from the matrix effect.

Stability

The stabilities of 5 compounds in rat plasma under various storage and processing conditions (three freeze–thaw cycles; −80 °C, 30 d; 4 °C, 48 h; 20 °C, 4 h) were summarized in Table 4. The RE values were less than 15%, which showed that the processed samples were stable.

Stability of PPR, PPL, DPPL, PPRA and PLTR under different conditions (n = 3).

Compound	Spiked (ng mL−1)	Three freeze–thaw cycles		Long-term (−80 °C, 30 d)		Short-term (4 °C, 48 h)		Autosampler (20 °C, 4 h)
		RSD (%)	RE (%)	RSD (%)	RE (%)	RSD (%)	RE (%)	RSD (%)	RE (%)
PPR	0.6	5.99	−5.06	6.50	−7.44	4.41	−4.06	10.6	−2.67
	10	3.20	9.67	1.05	10.33	2.26	11.33	2.68	7.67
	160	2.00	0.42	2.19	0.21	0.98	−2.92	2.28	−5.00
PPL	0.6	2.76	−12.61	3.31	−4.78	3.61	−9.22	4.78	−4.78
	10	2.36	6.67	1.85	8.00	1.42	7.33	4.87	5.33
	160	2.15	0.63	2.55	−1.04	1.12	−3.75	2.89	−5.63
DPPL	0.6	3.83	−2.11	5.71	−0.50	4.83	−8.89	4.67	−9.56
	10	0.54	6.67	0.94	6.00	0.93	7.00	3.05	5.33
	160	3.21	−3.96	2.99	−5.83	1.71	−7.92	1.73	−8.96
PPRA	0.6	0.99	4.67	2.09	0.94	4.19	−3.50	3.76	−2.28
	10	1.42	7.33	1.44	6.33	3.28	10.00	3.88	7.33
	160	2.01	−4.79	3.06	−6.25	0.79	−8.33	2.39	−9.38
PLTR	15	1.81	−2.67	3.31	−6.89	5.44	−0.22	5.33	−0.67
	250	1.66	0.27	0.83	0.67	3.67	−1.73	5.38	−1.60
	4000	2.67	8.08	2.83	7.50	2.54	3.75	2.69	2.42

Pharmacokinetic study

The numbers of apomorphine-induced rotation in 30 min of PLA-PD group (152 ± 36) and PPR-PD group (132 ± 16) were significantly up-regulated compared with that of PLA-Sham group (4 ± 1, P < 0.05), which indicated that PD model was successfully established.

The validated UFLC-ESI-MS/MS method was successfully applied to the pharmacokinetic study of the five alkaloids in PLA-Sham and PLA-PD rats. The mean plasma concentration-time profiles of PPR, PPL, DPPL, PPRA and PLTR are shown in Fig. 3. The main pharmacokinetic parameters are listed in Table 5. The concentrations of the five alkaloids in PLA-Sham rats were slightly higher than those in PLA-PD rats at the most time points. Compared with the corresponding pharmacokinetic parameters in PLA-Sham group, the values of AUC_0–t, AUC_0–∞ and MRT for five alkaloids were slightly lower, t_1/2 values for PPL, DPPL, PPRA and PLTR were slightly lower, and C_max values for PPR, DPPL, PPRA and PLTR were slightly lower. No significant differences were observed in the pharmacokinetic parameters between PLA-PD group and PLA-Sham group, except for MRTs for PPR, PPL and PLTR. In addition, the concentrations of PPR in PLA-PD rats were slightly higher than those in PPR-PD rats at the most time points, while the pharmacokinetic parameters of PPR exhibited no significant differences.

Fig. 3. The mean plasma concentration-time profiles of (A) PPR, (B) PPL, (C) DPPL, (D) PPRA, (E) PLTR in PLA-Sham and PLA-PD rats (n = 5).

Pharmacokinetic parameters of PPR, PPL, DPPL, PPRA and PLTR in PLA-Sham, PLA-PD and PPR-PD rats (mean ± SD, n = 5).

Compound	Group	t 1/2 (h)	T max (h)	C max (ng mL−1)	AUC0–t (h ng mL−1)	AUC0–∞ (h ng mL−1)	MRT (h)
PPR	PLA-PD	3.65 ± 3.45	4.00 ± 1.41	978.00 ± 214.20	9698.84 ± 2671.21	10 249.90 ± 3076.11	5.99 ± 0.63a
	PLA-Sham	3.40 ± 2.15	4.80 ± 2.28	1003.20 ± 145.58	11 013.21 ± 1459.83	11 306.41 ± 1519.68	6.83 ± 0.44
	PPR-PD	2.41 ± 0.34	2.95 ± 2.06	825.00 ± 241.11	7110.31 ± 1771.59	7123.24 ± 1767.99	6.27 ± 0.56
PPL	PLA-PD	2.42 ± 1.23	0.45 ± 0.21	97.26 ± 17.97	242.50 ± 57.23	244.98 ± 57.49	2.98 ± 0.84a
	PLA-Sham	3.68 ± 1.32	0.45 ± 0.11	89.08 ± 41.66	301.74 ± 116.14	317.72 ± 123.19	4.60 ± 1.33
DPPL	PLA-PD	2.53 ± 2.72	0.30 ± 0.11	69.28 ± 22.71	78.18 ± 20.32	79.47 ± 18.96	1.79 ± 1.19
	PLA-Sham	3.92 ± 1.87	0.22 ± 0.07	73.36 ± 36.16	111.58 ± 45.47	114.94 ± 44.90	3.03 ± 0.93
PPRA	PLA-PD	2.80 ± 1.71	0.18 ± 0.09	122.94 ± 57.61	136.03 ± 45.59	137.16 ± 45.27	2.43 ± 1.52
	PLA-Sham	4.16 ± 1.32	0.18 ± 0.09	160.50 ± 119.68	224.89 ± 154.54	230.19 ± 150.38	3.72 ± 1.30
PLTR	PLA-PD	1.54 ± 0.48	0.30 ± 0.11	191.80 ± 57.69	297.58 ± 106.77	310.91 ± 105.09	1.98 ± 0.36a
	PLA-Sham	2.13 ± 0.63	0.45 ± 0.21	227.40 ± 144.69	337.29 ± 222.29	354.34 ± 231.38	2.78 ± 0.56

^a P < 0.05 vs. PLA-Sham group.

It was reported that the bioavailabilities of some drugs were significantly decreased in model rats compared with the sham rats, such as the decreased bioavailabilities of panax notoginsenosides and senkyunolide I in acute myocardial ischemia rats and biliary drainage rats, respectively, which weakened the efficacy. These results suggested that it was necessary to combine other drugs to increase the absorption of the drug to improve the therapeutic effect.^24,25 However, our study revealed that there were no obvious differences in the pharmacokinetic parameters of PPR, PPL, DPPL, PPRA and PPRA between PLA-PD group and PLA-Sham group. In addition, the absorption of PPR, the active ingredient with the highest content in P. longum, was not obviously inhibited by its structural analogues (Fig. 4).

Fig. 4. The mean plasma concentration-time profiles of PPR in PLA-PD and PPR-PD rats (n = 5).

The activity of SOD and pharmacokinetic–pharmacodynamics correlation

Compared with the sham group (124.18 ± 9.61 U mL⁻¹), the basal SOD activities in the plasma of PD rats were significantly reduced (106.63 ± 11.08 U mL⁻¹) (P < 0.05). The SOD in the plasma of PLA-PD rats reached the strongest activity at 15 min after orally administered PLA. The rise in SOD activity was approximately 18% as compared to the basal SOD activity. The activity of SOD was plotted against plasma concentrations of PPL, DPPL, PPRA and PLTR measured at the corresponding time points with equations of the best-fit lines y = 0.3085x + 89.69 (R² = 0.5712), y = 0.4711x + 91.15 (R² = 0.6503), y = 0.2597x + 91.70 (R² = 0.6303), y = 0.1559x + 91.23 (R² = 0.5644), respectively (Fig. 5).

Fig. 5. Pharmacokinetic–pharmacodynamics correlation, the SOD activities in the plasma of PLA-Sham and PLA-PD rats were plotted against the plasma concentrations of (A) PPR, (B) PPL, (C) DPPL, (D) PPRA, (E) PLTR according to the different time points. (SOD activity was taken as pharmacodynamics measure).

The neuroprotective effect of PLA in the PD rats was associated with antioxidation.^6,7 The results showed that the SOD activities increased with the same trends of concentrations of five compounds in PD rat plasma. Especially the SOD showed the strongest activity when the concentrations of PPL, DPPL, PPRA and PLTR were at peaks in PD rat plasma. However, these were not clearly observed in the sham group. From this point of view, the antioxidant activities of PPR and its analogues were also confirmed.

Conclusion

In this study, a rapid, sensitive and selective UFLC-ESI-MS/MS method was built and validated for simultaneously determining concentrations of 5 amide alkaloids in rat plasma for the first time, and then successfully applied to the pharmacokinetic study in PD rats after oral administration of PLA. The pharmacokinetic parameters of 5 alkaloids in PD rats were hardly observed obvious differences compared with those in sham rats after oral administration of PLA except for MRTs of PPR, PPL and PLTR. The study of pharmacokinetic–pharmacodynamics correlations between SOD and concentrations of the multi-components in plasma provided some scientific information to better understand the underlying mechanism of PLA in the PD model. The results also facilitated the appropriate clinical application of PLA as a potential treatment for PD.

Conflicts of interest

There are no conflicts to declare.