Authors:
Bingying Hu School of Pharmaceutical Sciences, Hangzhou Medical College, 182 Tianmushan Road, Hangzhou 310013, Zhejiang, China
Zhejiang Key Laboratory of Neuropsychiatric Drug Research, Hangzhou Medical College, 182 Tianmushan Road, Hangzhou 310013, Zhejiang, China

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Yingying Sun School of Pharmaceutical Sciences, Hangzhou Medical College, 182 Tianmushan Road, Hangzhou 310013, Zhejiang, China
Zhejiang Key Laboratory of Neuropsychiatric Drug Research, Hangzhou Medical College, 182 Tianmushan Road, Hangzhou 310013, Zhejiang, China

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Min Wang School of Pharmaceutical Sciences, Hangzhou Medical College, 182 Tianmushan Road, Hangzhou 310013, Zhejiang, China
Zhejiang Key Laboratory of Neuropsychiatric Drug Research, Hangzhou Medical College, 182 Tianmushan Road, Hangzhou 310013, Zhejiang, China

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Zhisheng He School of Pharmaceutical Sciences, Hangzhou Medical College, 182 Tianmushan Road, Hangzhou 310013, Zhejiang, China
Zhejiang Key Laboratory of Neuropsychiatric Drug Research, Hangzhou Medical College, 182 Tianmushan Road, Hangzhou 310013, Zhejiang, China

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Shanshan Chen School of Pharmaceutical Sciences, Hangzhou Medical College, 182 Tianmushan Road, Hangzhou 310013, Zhejiang, China
Zhejiang Key Laboratory of Neuropsychiatric Drug Research, Hangzhou Medical College, 182 Tianmushan Road, Hangzhou 310013, Zhejiang, China

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Dake Qi School of Pharmaceutical Sciences, Hangzhou Medical College, 182 Tianmushan Road, Hangzhou 310013, Zhejiang, China
Zhejiang Key Laboratory of Neuropsychiatric Drug Research, Hangzhou Medical College, 182 Tianmushan Road, Hangzhou 310013, Zhejiang, China

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Zhen Ge School of Pharmaceutical Sciences, Hangzhou Medical College, 182 Tianmushan Road, Hangzhou 310013, Zhejiang, China
Zhejiang Key Laboratory of Neuropsychiatric Drug Research, Hangzhou Medical College, 182 Tianmushan Road, Hangzhou 310013, Zhejiang, China

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Lingling Fan Zhejiang Jiuxu Pharmaceutical Co., Ltd., 398 Xianhuabei Street, Jinhua 321016, Zhejiang, China

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Jingfang Chen Zhejiang Jiuxu Pharmaceutical Co., Ltd., 398 Xianhuabei Street, Jinhua 321016, Zhejiang, China

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Yang Wei School of Pharmaceutical Sciences, Hangzhou Medical College, 182 Tianmushan Road, Hangzhou 310013, Zhejiang, China
Zhejiang Key Laboratory of Neuropsychiatric Drug Research, Hangzhou Medical College, 182 Tianmushan Road, Hangzhou 310013, Zhejiang, China

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https://orcid.org/0000-0001-6350-831X
Open access

Abstract

A reliable LC-MS/MS method for the determination of five bioactive constituents (bilobalide, BLL; ginkgolide A, GLA; ginkgolide B, GLB; ginkgolide C, GLC; rutin) of Ginkgo biloba leaf extracts (GBE) in rat plasma was established, fully validated and applied to an intragastric pharmacokinetic study of a preparation of GBE in rat. Samples were extracted with ethyl acetate. C18 column was selected as analytical column in this method. Mobile phase was water with 0.01% formic acid and acetonitrile. Quantification was performed in negative multiple-reaction monitoring mode. Matrix instability of terpene lactones was noticed and hydrochloric acid was used as a stabilizer. This method showed good precision and accuracy, recovery was reproducible and matrix effect was negligible. Among four terpene lactones, BLL had the highest exposure and the shortest terminal half-life, GLA and GLB had lower exposure and longer terminal half-life, the exposure of GLC was lowest and its terminal half-life was the maximum, and all of them showed rapid absorption. This study provides a reference for determination of terpene lactones and flavonol glycoside prototypes in GBE and offers pharmacokinetic data of flavonol glycoside prototype in GBE.

Abstract

A reliable LC-MS/MS method for the determination of five bioactive constituents (bilobalide, BLL; ginkgolide A, GLA; ginkgolide B, GLB; ginkgolide C, GLC; rutin) of Ginkgo biloba leaf extracts (GBE) in rat plasma was established, fully validated and applied to an intragastric pharmacokinetic study of a preparation of GBE in rat. Samples were extracted with ethyl acetate. C18 column was selected as analytical column in this method. Mobile phase was water with 0.01% formic acid and acetonitrile. Quantification was performed in negative multiple-reaction monitoring mode. Matrix instability of terpene lactones was noticed and hydrochloric acid was used as a stabilizer. This method showed good precision and accuracy, recovery was reproducible and matrix effect was negligible. Among four terpene lactones, BLL had the highest exposure and the shortest terminal half-life, GLA and GLB had lower exposure and longer terminal half-life, the exposure of GLC was lowest and its terminal half-life was the maximum, and all of them showed rapid absorption. This study provides a reference for determination of terpene lactones and flavonol glycoside prototypes in GBE and offers pharmacokinetic data of flavonol glycoside prototype in GBE.

Introduction

Ginkgo biloba leaf extracts (GBE) are clinically applied worldwide to cure cardiovascular diseases and central nervous system diseases, such as myocardial ischemia reperfusion injury [1], coronary heart disease [2], acute ischemic stroke [3] and Alzheimer's disease [4].

Existing research showed that terpene lactones and flavonol glycosides were the main bioactive constituents of GBE [5]. Terpene lactones in GBE can be classified as diterpenes (ginkgolides) and sesquiterpene (bilobalide) [6]. Some determination methods for terpene lactones of GBE have been reported in previous researches [6–8], and there wasn't any stability problem of terpene lactones in plasma been mentioned in these studies, however the instability of lactones in plasma can be predicted readily [9]. If the stability of analytes in the whole life cycle of samples cannot be guaranteed, then the reliability of these studies is questionable. Therefore, it was necessary to develop a more reliable analytical method for determination of four terpene lactones in rat plasma.

Structural diversity of flavonol glycosides in GBE was observed. Nearly 30 flavonol glycosides were found, but most of them are derived from three aglycones [10, 11]. Previous, flavonol glycosides were indirectly monitored by their aglycones after hydrolysis [7, 12], due to the complexity of flavonol glycosides. However, different flavonol glycosides with same aglycone might have diverse pharmacokinetic properties, so the results based on aglycones might be biased. Moreover, the pharmacokinetic data of flavonol glycoside prototypes in GBE is still scarce, hence an analytical method for determination of flavonol glycoside prototypes and a pharmacokinetic research of them were needed. Rutin was an abundant flavonol glycoside of GBE [13, 14] and was selected as a representative flavonol glycoside to be investigated in this study.

To quantify the rat plasma concentrations of bilobalide (BLL), ginkgolide A (GLA), ginkgolide B (GLB), ginkgolide C (GLC) and rutin, we established and validated a reliable LC-MS/MS method. Furthermore, an intragastric pharmacokinetic study of crushed Yinxing Tongzhi Dripping Pills, a preparation of GBE, in rat was conducted. In addition, the simultaneous dose proportionality assessment of Cmax and AUC for GLA, GLB, GLC and BLL was firstly reported in public.

Experimental

Reagents and materials

GLA (purity >97.4%), GLB (purity >95.6%), GLC (purity >94.0%), BLL (purity >99.8%), rutin (purity >91.7%) and chloramphenicol (CHL, purity >99.8%) were provided by National Institutes for Food and Drug Control (China).

Ethyl acetate was manufactured by TEDIA (USA). Methanol and acetonitrile were manufactured by Merck (Germany). Pure water was prepared by Cascada I Water Purification System of Pall Corporation (USA). Formic acid was manufactured by Anaqua Chemicals Supply (USA). Heparin sodium was manufactured by Beijing Leagene Biotech.co.,ltd. (China) and hydrochloric acid (guaranteed reagent) was manufactured by Sinopharm Chemical Reagent Co.,Ltd. (China). Blank rat plasma was prepared in our laboratory before method validation.

Yinxing Tongzhi Dripping Pills were supplied by Zhejiang Jiuxu Pharmaceutical Co., Ltd. (China). Total content of four terpene lactones was 9.4%, and content of total flavonol glycosides was 29%.

UPLC-MS/MS instruments and parameters

An API 5500 Triple Quad UPLC-MS/MS System (AB SCIEX, USA) was employed for UPLC-MS/MS analysis.

Waters ACQUICY BEH C18 (2.1 × 100 mm, 1.7 μm) was selected as analytical column in this method. Mobile phase was water with 0.01% formic acid (A) and acetonitrile (B) and flow rate was 0.3 mL min−1. The gradient elution was shown below: 0–0.5 min, 15% B; 0.5–2.5 min, 15–30% B; 2.5–4.5 min, 30–45% B; 4.5–5.0 min, 45–95% B; 5.0–6.5 min, 95% B; 6.5–6.6 min, 95–15% B; 6.6–8.0 min, 15% B. The temperature of column oven and autosampler were 40 and 4 °C, respectively.

Quantification was performed in electrospray ionization source negative mode. The scan mode was multiple-reaction monitoring. Dominating mass spectrometer parameters were exhibited in Table 1. Ion source temperature, ionspray voltage, curtain gas, nebulizing gas and auxiliary gas were 550 °C, −4500 V, 35 psi, 45 psi and 45 psi, respectively.

Table 1.

Ion pairs, declustering potential and collision energy of analytes and CHL

Compound Q1→Q3 (m/z) Declustering potential (V) Collision energy (eV)
GLA 453.2→351.3 −66 −26
GLB 423.3→367.2 −150 −23
GLC 439.2→383.2 −150 −22
BLL 325.3→163.2 −115 −24
rutin 609.2→300.1 −210 −50
CHL 321.1→152.1 −110 −23

Animals

Specific pathogen-free SD Rats (9 males, 9 females, body weight 213–308 g) were produced by the Experimental Animal Center of Zhejiang Academy of Medical Sciences. All experiment schemes of animal study were permitted by Animal Ethics Committee of Zhejiang Academy of Medical Sciences (2019-274).

Preparation of stock solutions and working solutions

Stock solutions for calibration standard of BLL (1.00 mg mL−1), GLA (1.10 mg mL−1), GLB (0.99 mg mL−1), GLC (1.01 mg mL−1) and rutin (1.28 mg mL−1) were yielded in methanol respectively. Meanwhile, five analytes were dissolved into methanol respectively to yield another series of stock solution for quality control (QC), the concentrations of analytes were as follows: 1.01 mg mL−1 (GLA), 1.13 mg mL−1 (GLB), 1.06 mg mL−1 (GLC), 1.22 mg mL−1 (BLL) and 1.00 mg mL−1 (rutin).

Stock solution of internal standard (IS, 1.04 mg mL−1) was yielded by dissolving standards of chloramphenicol into methanol.

All working solutions of five analytes and IS (25 ng mL−1) was yielded through a dilution with methanol. The preservation temperature of all solutions was 4 °C.

Sample preparation

60 μL of sample (including 10 μL of stabilizer) was unfrozen in 25 °C water bath prior to processing. Then, sample and 10 μL of working solution of CHL was blended for 1 min and extracted with 400 μL of ethyl acetate immediately. Next, blend sample by a multi-tube vortexer for 5 min and centrifuge for 5 min at 8,000 g. After that, dryness of organic phase was conducted at ambient temperature under nitrogen. Finally, 100 μL of water-methanol (1:1, v/v) was used to reconstitute residue and 10 μL of processed sample was detected.

Method validation

Blank rat plasma from six lots and lower limit of quantification (LLOQ) samples were processed in parallel. Selectivity was validated by computing the peak area ratio (blank samples/LLOQ sample).

Signal to noise (S/N) ratio of LLOQ sample was measured to assess sensitivity.

Through the detection of two blank plasma samples straight after upper limit of quantification (ULOQ) sample, carryover effect was appraised.

2 μL of working solutions of calibration standards was added into 58 μL of blank rat plasma (including 10 μL of stabilizer) to prepare calibration standards at seven concentration levels. Calibration curves were created depend on the nominal concentration ratio of analytes to CHL (X-axis) and the peak area ratio (Y-axis) in calibration standards and 1/(x2) was used as weighting factor.

2 μL of working solutions of LLOQ, low quality control (LQC), middle quality control (MQC) and high quality control (HQC) were added into 58 μL of blank plasma (including 10 μL of stabilizer) respectively to prepare QC samples. Then, QC samples were determined in three independent analytical runs to investigate the precision and accuracy.

Dilution quality control (DQC) samples with concentration above ULOQ were diluted with nine-fold volume of blank rat plasma. Based on precision and accuracy of diluted DQC samples, dilution integrity was evaluated.

Working solutions of LQC, MQC and HQC were added into blank rat plasma post or before extraction. By calculated the peak area ratio (pre-extraction/post-extraction), extraction recovery of five analytes and CHL was obtained.

Working solutions of LQC and HQC were added into blank rat plasma from six lots or pure water post-extraction respectively. Matrix effect of five analytes and CHL was assessed based on the peak area ratio (rat plasma/water).

Prior to preparation, LQC and HQC samples were exposed to ambient temperature for short-range (3 h), −70 °C for long-term (20 d) and two freeze–thaw cycles to explore the matrix stability of analytes.

Prior to injection, processed LQC, MQC and HQC samples were exposed to autosampler temperature for 24 h to study the processed sample stability of analytes.

Pharmacokinetic study

Before dosing, eighteen rats (nine males and nine females) were fasted for more than 8 h but drank water freely. Rats were randomized into three dosage groups (50, 100, or 200 mg kg−1) according to body weight and administered orally with a suspension of crushed Yinxing Tongzhi Dripping Pills (prepared with 0.5% carboxy methylcellulose sodium). At pre-dose and 0.083, 0.25, 0.5, 0.75, 1, 1.5, 2, 4, 6, 8, 12 and 24 h post-dose, about 0.2 mL blood samples from jugular vein were obtained and were stored in heparinized centrifuge tubes on wet ice. Those harvest samples were centrifuged for 10 min at 8,000 g within 0.5 h. Then 10 µL of 0.2 mol L−1 hydrochloric acid as a stabilizer was added into 50 μL of plasma. The preservation temperature of samples was −70 °C.

Data analysis

The UPLC-MS/MS data was obtained from Analyst software (version 1.6.3) and analyzed by MultiQuant software (version 3.0.2). Phoenix WinNonlin (version 8.1.0) was adopted to compute pharmacokinetic parameters of analytes based on non-compartment model. Dose proportionality assessment was performed with confidence interval approach [15–17] using Phoenix WinNonlin software (version 8.1.0).

Results and discussion

Method optimization

To realize an excellent MS response, MS parameters of five analytes and CHL were optimized. MS response of terpene lactones was rather poor in positive mode, but in negative mode, all of the analytes and CHL showed good response, so negative mode was chosen. MS/MS spectra of five analytes and CHL in negative mode were displayed in Fig. 1.

Fig. 1.
Fig. 1.

MS/MS spectra of five analytes and CHL. (A) BLL, (B) GLA, (C) GLB, (D) GLC, (E) rutin and (F) CHL

Citation: Acta Chromatographica 34, 4; 10.1556/1326.2021.00962

To develop an appropriate extraction method, protein precipitation and liquid-liquid extraction were assessed. When plasma samples (1 ng mL−1) were processed with methanol protein precipitation, analytes showed poor MS response. When the same samples were handled with methyl tert-butyl ether (MTBE), terpene lactones showed high response, but the peak of rutin cannot be observed. Alternatively, ethyl acetate was used as extraction solvent, good response was achieved for all analytes. It might be related to the higher solubility of rutin in ethyl acetate than in MTBE.

As predicted, matrix instability of four terpene lactones was noticed during method development. When LQC and HQC samples were exposed to room temperature for 4 h, terpene lactones were reduced by 29˜79%. In contrast, when samples were treated with 0.2 mol L−1 hydrochloric acid, the degradation of terpene lactones was insignificant after the storage at room temperature for 4 h. Meanwhile, hydrochloric acid makes no difference to the plasma concentration of rutin. The result showed that 0.2 mol L−1 hydrochloric acid was a suitable stabilizer for this study. Significantly, although hydrochloric acid was added into samples during samples preparation in some literature [7, 18], the stability of terpene lactones cannot be guaranteed before sample preparation.

Method validation

As exhibited in Fig. 2, in six lots of blank plasma, there was no conspicuous interference peak of five analytes and CHL.

Fig. 2.
Fig. 2.

Typical chromatograms of five analytes and CHL. (A) Blank plasma; (B) LLOQ sample; (C) Incurred sample after oral administration of crushed Yinxing Tongzhi Dripping Pills 5 min in middle dosage groups. Concentrations of five analytes in this sample were as follows: 107 ng mL−1 (GLA), 16.6 ng mL−1 (GLB), 2.13 ng mL−1 (GLC), 91.4 ng mL−1 (BLL), 0.416 ng mL−1 (rutin)

Citation: Acta Chromatographica 34, 4; 10.1556/1326.2021.00962

In the chromatogram of LLOQ sample, the S/N ratio of analytes was greater than five (Fig. 2).

In blank rat plasma samples after ULOQ sample, carryover of analytes and IS was acceptable.

Within the concentration scope, calibration curves were investigated. Typical calibration curves were listed in Table 2. In all batches, the correlation coefficients of calibration curves and the back-calculated concentrations of calibrators at least six levels met the acceptance criteria.

Table 2.

Typical calibration curves

Analyte Regression equation Correlation coefficient (r) Linear range (ng mL−1)
GLA y = 5.47217x + 0.03364 0.99680 1.00–600
GLB y = 11.51566x + 0.03959 0.99721 0.500–100
GLC y = 5.94723x + 0.00459 0.99814 0.200–20.0
BLL y = 6.38369x + 1.03455e−4 0.99953 0.500–300
rutin y = 1.99244x + 0.00812 0.99325 0.200–10.0

Data of precision and accuracy was summarized in Table 3.

Table 3.

Accuracy and precision

Analyte Theoretical concentration (ng mL−1) Intra-batch (n = 6) Inter-batch (n = 18)
Average observed concentration (ng mL−1) RSD (%) RE (%) Average observed concentration (ng mL−1) RSD (%) RE (%)
GLA 1.00 0.929 4.8 −7.1 1.01 8.0 0.7
3.00 3.06 3.5 1.9 3.11 4.0 3.8
40.0 42.2 1.9 5.4 41.9 3.1 4.9
500 448 2.2 −10.4 446 2.1 −10.8
5,000 4,373 0.9 −12.5
GLB 0.500 0.453 6.2 −9.4 0.493 7.6 −1.4
1.50 1.55 3.8 3.2 1.57 3.9 4.9
10.0 10.3 3.3 2.5 10.2 4.5 2.4
80.0 74.0 2.3 −7.5 73.8 2.2 −7.8
800 726 2.3 −9.2
GLC 0.200 0.174 9.8 −12.8 0.192 10.0 −4.2
0.600 0.581 4.2 −3.3 0.590 4.5 −1.6
3.00 3.03 1.3 0.9 2.99 3.2 −0.4
16.0 15.6 2.9 −2.3 15.7 3.1 −2.2
160 149 2.4 −6.7
BLL 0.500 0.498 7.6 −0.4 0.516 6.8 3.2
1.50 1.46 3.1 −2.4 1.48 4.1 −1.2
20.0 19.0 2.8 −5.1 19.4 4.5 −3.1
250 227 2.7 −9.3 229 2.7 −8.4
2,500 2,434 1.3 −2.6
rutin 0.200 0.193 17.7 −3.6 0.194 15.0 −2.9
0.600 0.623a 11.0a 3.8a 0.581b 8.7b −3.2b
2.00 2.25 5.1 12.7 2.04 10.7 2.1
8.00 9.02 6.1 12.7 8.50b 8.9b 6.3b
80.0 91.1a 4.2a 13.9a

a n = 5. One value among six replicates was abnormal and statistical analysis was calculated excluding it.

b n = 17. One value among eighteen replicates was abnormal and statistical analysis was calculated excluding it.

RSD, Relative Standard Deviation; RE, Relative error.

Precision (RSD) and accuracy (RE) of diluted DQC samples were within 15.0%, as listed in Table 3, indicating that samples at concentration exceeded ULOQ could be diluted with blank matrix and then be detected.

As summarized in Table 4, matrix effect was negligible and recovery was reproducible.

Table 4.

Recovery and matrix effect

Analyte Theoretical concentration (ng mL−1) Recovery IS normalized matrix factor
Mean RSD (%) Mean RSD (%)
GLA 3.00 79.1 2.8 88.8 2.2
40.0 92.8 1.3
500 95.0 1.4 89.6 3.7
GLB 1.50 86.2 1.7 95.3 4.7
10.0 91.3 3.2
80.0 96.1 1.9 94.8 3.3
GLC 0.600 87.7 4.7 100 4.4
3.00 91.3 2.9
16.0 96.0 3.2 99.8 3.8
BLL 1.50 83.0 1.6 98.2 5.1
20.0 92.8 2.2
250 94.2 1.2 97.0 3.2
rutin 0.600 86.4 11.2 92.3 14.8
2.00 73.5a 12.2a
8.00 60.1 2.4 119 11.4
CHL 25.0 92.6 3.8

a n = 5. One value among six replicates of MQC samples was abnormal and statistical analysis was calculated excluding it.

As exhibited in Table 5, when exposed to ambient temperature for short-term (3 h), −70 °C for long-term (20 d) and two freeze–thaw cycles, analytes were steady in rat plasma.

Table 5.

Matrix stability and processed sample stability of five analytes (n = 6)

Analyte Theoretical concentration (ng mL−1) Preservation at ambient temperature for 3 h Preservation at −70°C for 20 d Two freeze–thaw cycles Processed sample stability kept for 1 d at autosampler
RSD (%) RE (%) RSD (%) RE (%) RSD (%) RE (%) RSD (%) RE (%)
GLA 3.00 4.5 13.8 0.9 14.9 2.6 −6.2 3.8 14.2
40.0 3.8 14.8
500 4.1 −4.7 1.6 −10.8 2.0 −7.9 2.3 −2.6
GLB 1.50 3.0 6.3 1.5a 14.7a 2.9 4.6 3.4 10.0
10.0 3.3 8.5
80.0 2.6 −2.5 2.1 3.3 2.8 −5.3 4.1 0.0
GLC 0.600 5.5 0.8 2.0 8.1 2.6 1.2 3.9 7.1
3.00 2.7 5.7
16.0 2.3 −0.6 1.8 2.4 3.4 −2.8 2.9 5.5
BLL 1.50 4.7 3.7 1.8 14.9 2.7 −10.0 3.2 7.7
20.0 3.0 6.1
250 4.1 −2.3 1.8 −1.9 2.4 −6.8 4.1 1.5
rutin 0.600 8.3 −8.4 6.8 −1.1 3.2 10.8 7.6 2.1
2.00 4.4 10.9
8.00 5.5 −10.0 3.5 1.1 9.3 9.9 5.8 4.2

a n = 5. One value among six replicates was abnormal and statistical analysis was calculated excluding it. 

When kept at autosampler temperature for 1 d, all of analytes were stable in processed samples (Table 5).

Pharmacokinetic study

The pharmacokinetic profiles of GLA, GLB, GLC, BLL and rutin in rats after intragastric administration of crushed Yinxing Tongzhi Dripping Pills were presented in Fig. 3. Because the sensitivity of method is limited (LLOQ of rutin was 0.2 ng mL−1), the concentration of rutin in most samples from 50.0 to 100 mg kg−1 dosage groups was below quantitation limit, corresponding concentration-time curves couldn't be drawn, and relevant concentration data was listed in Table S1 and S2. The pharmacokinetic parameters of four terpene lactones were listed in Table 6 (Pharmacokinetic parameters of rutin cannot be calculated due to low plasma concentration). BLL had the highest Cmax and AUC, and the shortest terminal half-life, indicating its good absorption and fast elimination. GLA and GLB exhibited lower exposure and longer terminal half-life. The exposure of GLC was lowest and its terminal half-life was the maximum, in other words, GLC showed poor absorption and slow elimination. Moreover, the Tmax of BLL, GLA and GLB was within 1 h and the Tmax of GLC was within 1.5 h, demonstrating their rapid absorption.

Fig. 3.
Fig. 3.

Average plasma concentration-time curves of five analytes and CHL. (A) BLL, (B) GLA, (C) GLB, (D) GLC and (E) rutin in rats after intragastric administration of crushed Yinxing Tongzhi Dripping Pills

Citation: Acta Chromatographica 34, 4; 10.1556/1326.2021.00962

Table 6.

Pharmacokinetic parameters of four terpene lactones in rats after intragastric administration of crushed Yinxing Tongzhi Dripping Pills (Mean ± SD, n = 6)

Compound Dose (mg kg−1) Parameter
AUC0-t AUC0-∞ MRT0-t MRT0-∞ t1/2z Tmax Cmax
(h*ng mL−1) (h*ng mL−1) (h) (h) (h) (h) (ng mL−1)
GLA 50.0 471 ± 159 475 ± 159 1.93 ± 0.24 2.06 ± 0.23 1.99 ± 0.73 0.75 ± 0.27 184 ± 44.6
100 861 ± 208 871 ± 207 2.01 ± 0.13 2.17 ± 0.14 2.24 ± 1.05 0.66 ± 0.13 316 ± 50.6
200 1,560 ± 417 1,601 ± 416 2.22 ± 0.33 2.64 ± 0.74 3.24 ± 1.38 0.43 ± 0.19 562 ± 62.7
GLB 50.0 169 ± 30.3 172 ± 30.4 2.48 ± 0.34 2.75 ± 0.30 2.52 ± 0.58 0.92 ± 0.35 54.5 ± 8.48
100 288 ± 45.1 295 ± 44.9 2.47 ± 0.18 2.83 ± 0.30 2.58 ± 1.03 0.80 ± 0.19 96.1 ± 25.3
200 525 ± 70.9 544 ± 81.1 2.50 ± 0.31 2.96 ± 0.50 2.59 ± 0.66 0.78 ± 0.38 185 ± 44.9
GLC 50.0 20.3 ± 4.49 22.4 ± 3.96 2.74 ± 0.30 5.05 ± 3.28 5.74 ± 5.52 1.38 ± 0.54 5.80 ± 1.41
100 33.1 ± 8.73 36.2 ± 10.8 2.84 ± 0.18 4.31 ± 2.22 4.29 ± 3.53 1.29 ± 0.46 9.19 ± 2.41
200 52.6 ± 11.4 60.6 ± 21.4 2.98 ± 0.27 5.04 ± 2.98 4.97 ± 3.04 1.22 ± 0.31 15.4 ± 5.53
BLL 50.0 549 ± 106 551 ± 107 1.82 ± 0.14 1.85 ± 0.15 1.08 ± 0.21 0.83 ± 0.13 211 ± 34.3
100 1,103 ± 90.1 1,105 ± 89.6 1.90 ± 0.05 1.92 ± 0.05 1.34 ± 0.26 0.93 ± 0.13 404 ± 22.0
200 1,932 ± 290 1,942 ± 290 1.94 ± 0.22 2.01 ± 0.22 1.78 ± 0.45 0.68 ± 0.27 694 ± 60.6

The low plasma concentration of rutin indicated its poor oral bioavailability, which was consistent with previous studies [19–21].

As shown in Table 7, at the dosage ranging from 50.0 to 200 mg kg−1, 90% confidence interval of GLA, GLB and GLC only partially overlap corresponding acceptance interval, showing that the dose proportionality was inconclusive. Similarly, inconclusive results of AUC0-t and AUC0-∞ were observed for BLL. But for the slope ln(Cmax) to ln(dose) of BLL, 90% confidence interval was completely within the acceptance interval, indicating that a proportional change in Cmax across the dose range studied.

Table 7.

Dose proportionality assessment of GLA, GLB, GLC and BLL based on confidence interval method

Analyte Parameter Slope 90% Confidence interval Acceptance interval Dose proportionality
GLA Cmax 0.82 0.70˜0.94 0.74˜1.26 Inconclusive
AUC0-t 0.87 0.67˜1.07 0.84˜1.16 Inconclusive
AUC0-∞ 0.89 0.69˜1.08 0.84˜1.16 Inconclusive
GLB Cmax 0.87 0.71˜1.03 0.74˜1.26 Inconclusive
AUC0-t 0.82 0.71˜0.93 0.84˜1.16 Inconclusive
AUC0-∞ 0.83 0.72˜0.94 0.84˜1.16 Inconclusive
GLC Cmax 0.68 0.46˜0.90 0.74˜1.26 Inconclusive
AUC0-t 0.69 0.52˜0.87 0.84˜1.16 Inconclusive
AUC0-∞ 0.70 0.50˜0.90 0.84˜1.16 Inconclusive
BLL Cmax 0.86 0.78˜0.94 0.74˜1.26 Proportional
AUC0-t 0.91 0.80˜1.02 0.84˜1.16 Inconclusive
AUC0-∞ 0.91 0.81˜1.02 0.84˜1.16 Inconclusive

The number of experiment animals was limited in this study, so these results must be confirmed on a larger group of animals in the future.

Conclusions

To quantify the rat plasma concentrations of bilobalide, ginkgolide A, B, C and rutin, we established and validated a reliable LC-MS/MS method. Hydrochloric acid was a suitable stabilizer for this study. This method provides a reference for simultaneous determination of terpene lactones and flavonol glycoside prototype in GBE. An intragastric pharmacokinetic study of crushed Yinxing Tongzhi Dripping Pills in rat was conducted based on the analytical method. These results provide data about the pharmacokinetic property of flavonol glycoside prototype in GBE and the dose proportionality of Cmax and AUC for GLA, GLB, GLC and BLL.

Conflicts of interest

The authors declare no conflict of interest.

Acknowledgments

This work was supported by Zhejiang Jiuxu Pharmaceutical Co., Ltd., National Major Scientific and Technology Special Project for “Significant New Drugs Development” (2019ZX09301-161) and Youth Foundation of Zhejiang Academy of Medical Sciences (2020Y002).

Supplementary material

Supplementary data to this article can be found online at https://doi.org/10.1556/1326.2021.00962.

Abbreviations

IS

internal standard

LLOQ

lower limit of quantification

ULOQ

upper limit of quantification

QC

quality control

LQC

|low quality control

MQC

middle quality control

HQC

high quality control

DQC

dilution quality control

RE

relative error

RSD

relative standard deviation

BLL

bilobalide

GLA

ginkgolide A

GLB

ginkgolide B

GLC

ginkgolide C

GBE

Ginkgo biloba leaf extracts

CHL

chloramphenicol

MTBE

methyl tert-butyl ether

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Supplementary Materials

  • 1.

    Li, T. ; Zhang, Y. ; Tian, J. ; Yang, L. ; Wang, J. Am. J. Chin. Med. 2019, 47, 10571073.

  • 2.

    Sun, M. ; Chai, L. ; Lu, F. ; Zhao, Y. ; Li, Q. ; Cui, B. ; Gao, R. ; Liu, Y. Evid. Based Complement. Alternat. Med. 2018, 2018, 7571629.

    • Search Google Scholar
    • Export Citation
  • 3.

    Dong, Y. ; Li, H. ; Dong, Q. Neurol. Res. 2020, 42, 260266.

  • 4.

    Rapp, M. ; Burkart, M. ; Kohlmann, T. ; Bohlken, J. Int. J. Clin. Pharmacol. Ther. 2018, 56, 130133.

  • 5.

    Tian, J. ; Liu, Y. ; Chen, K. Curr. Vasc. Pharmacol. 2017, 15, 532548.

  • 6.

    Z., Y. Y.; G., L. L.; S., G. M.; R., R.; T., J. Z. Drug Res. 2016, 66, 520526.

  • 7.

    Wang, W. P. ; Liu, N. ; Kang, Q. ; Du, P. P. ; Lan, Y. ; Zhao, B. C. ; Chen, Y. Y. ; Zhang, Q. ; Li, H. ; Zhang, Y. W. ; Wu, Q. J. Zhejiang Univ. Sci. B 2014, 15, 929939.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 8.

    Liu, X. W. ; Yang, J. L. ; Niu, W. ; Jia, W. W. ; Olaleye, O. E. ; Wen, Q. ; Duan, X. N. ; Huang, Y. H. ; Wang, F. Q. ; Du, F. F. ; Zhong, C. C. ; Li, Y. F. ; Xu, F. ; Gao, Q. ; Li, L. ; Li, C. Acta Pharmacol. Sin. 2018, 39, 19351946.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 9.

    Li, W. ; Zhang, J. ; Tse, F. L. Biomed. Chromatogr. 2011, 25, 258277.

  • 10.

    Biber, A. Pharmacopsychiatry 2003, 36 Suppl 1, S32S37.

  • 11.

    Liu, X. G. ; Wu, S. Q. ; Li, P. ; Yang, H. J. Pharm. Biomed. Anal. 2015, 113, 212225.

  • 12.

    Chen, Z. P. ; Sun, J. ; Chen, H. X. ; Xiao, Y. Y. ; Liu, D. ; Chen, J. ; Cai, H. ; Cai, B. C. Fitoterapia 2010, 81, 10451052.

  • 13.

    Lu, Q. ; Hao, M. ; Wu, W. ; Zhang, N. ; Isaac, A. T. ; Yin, J. ; Zhu, X. ; Du, L. ; Yin, X. Acta Biochim. Pol. 2018, 65, 3541.

  • 14.

    Yang, J. ; Wang, A. Q. ; Li, X. J. ; Fan, X. ; Yin, S. S. ; Lan, K. J. Pharm. Biomed. Anal. 2016, 123, 147154.

  • 15.

    Smith, B. P. ; Vandenhende, F. R. ; DeSante, K. A. ; Farid, N. A. ; Welch, P. A. ; Callaghan, J. T. ; Forgue, S. T. Pharm. Res. 2000, 17, 12781283.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 16.

    Hummel, J. ; McKendrick, S. ; Brindley, C. ; French, R. Pharm. Stat. 2009, 8, 3849.

  • 17.

    Song, J. ; Zhang, W. ; Sun, J. ; Xu, X. ; Zhang, X. ; Zhang, L. ; Feng, Z. ; Du, G. H. Acta Pharm. Sin. B 2015, 5, 246253.

  • 18.

    Zheng, B. ; Xing, G. ; Bi, Y. ; Yan, G. ; Wang, J. ; Cheng, Y. ; Liu, Y. ; Ashraf, M. A. ; Xie, J. Saudi J. Biol. Sci. 2016, 23, 5465.

  • 19.

    Wang, Q. ; Huang, J. ; Hu, C. ; Xia, N. ; Li, T. ; Xia, Q. Food Funct. 2017, 8, 25122522.

  • 20.

    Ahmad, M. ; Sahabjada ; Akhtar, J. ; Hussain, A. ; Badaruddeen ; Arshad, M. ; Mishra, A. EXCLI J. 2017, 16, 810823.

  • 21.

    Ravi, G. S. ; Charyulu, R. N. ; Dubey, A. ; Prabhu, P. ; Hebbar, S. ; Mathias, A. C. AAPS PharmSciTech 2018, 19, 36313649.

  • Collapse
  • Expand

Senior editors

Editor(s)-in-Chief: Sajewicz, Mieczyslaw, University of Silesia, Katowice, Poland

Editors(s)

  • Danica Agbaba, University of Belgrade, Belgrade, Serbia (1953-2024)
  • Łukasz Komsta, Medical University of Lublin, Lublin, Poland
  • Ivana Stanimirova-Daszykowska, University of Silesia, Katowice, Poland
  • Monika Waksmundzka-Hajnos, Medical University of Lublin, Lublin, Poland

Editorial Board

  • Ravi Bhushan, The Indian Institute of Technology, Roorkee, India
  • Jacek Bojarski, Jagiellonian University, Kraków, Poland
  • Bezhan Chankvetadze, State University of Tbilisi, Tbilisi, Georgia
  • Michał Daszykowski, University of Silesia, Katowice, Poland
  • Tadeusz H. Dzido, Medical University of Lublin, Lublin, Poland
  • Attila Felinger, University of Pécs, Pécs, Hungary
  • Kazimierz Glowniak, Medical University of Lublin, Lublin, Poland
  • Bronisław Glód, Siedlce University of Natural Sciences and Humanities, Siedlce, Poland
  • Anna Gumieniczek, Medical University of Lublin, Lublin, Poland
  • Urszula Hubicka, Jagiellonian University, Kraków, Poland
  • Krzysztof Kaczmarski, Rzeszow University of Technology, Rzeszów, Poland
  • Huba Kalász, Semmelweis University, Budapest, Hungary
  • Katarina Karljiković Rajić, University of Belgrade, Belgrade, Serbia
  • Imre Klebovich, Semmelweis University, Budapest, Hungary
  • Angelika Koch, Private Pharmacy, Hamburg, Germany
  • Piotr Kus, Univerity of Silesia, Katowice, Poland
  • Debby Mangelings, Free University of Brussels, Brussels, Belgium
  • Emil Mincsovics, Corvinus University of Budapest, Budapest, Hungary
  • Ágnes M. Móricz, Centre for Agricultural Research, Budapest, Hungary
  • Gertrud Morlock, Giessen University, Giessen, Germany
  • Anna Petruczynik, Medical University of Lublin, Lublin, Poland
  • Robert Skibiński, Medical University of Lublin, Lublin, Poland
  • Bernd Spangenberg, Offenburg University of Applied Sciences, Germany
  • Tomasz Tuzimski, Medical University of Lublin, Lublin, Poland
  • Adam Voelkel, Poznań University of Technology, Poznań, Poland
  • Beata Walczak, University of Silesia, Katowice, Poland
  • Wiesław Wasiak, Adam Mickiewicz University, Poznań, Poland
  • Igor G. Zenkevich, St. Petersburg State University, St. Petersburg, Russian Federation

 

SAJEWICZ, MIECZYSLAW
E-mail:mieczyslaw.sajewicz@us.edu.pl

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Acta Chromatographica
Language English
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