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Bioactive Constituents, Metabolites, and Functions
Simultaneous Determination of Six Coumarins in Rat Plasma and Metabolites Identification of Bergapten in Vitro and in Vivo Man Liao, Gengshen Song, Xiaoye Cheng, Xinpeng Diao, Yupeng Sun, and Lan-tong Zhang J. Agric. Food Chem., Just Accepted Manuscript • DOI: 10.1021/acs.jafc.7b05637 • Publication Date (Web): 17 Apr 2018 Downloaded from http://pubs.acs.org on April 17, 2018
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Journal of Agricultural and Food Chemistry
Simultaneous Determination of Six Coumarins in Rat Plasma and Metabolites Identification of Bergapten in Vitro and in Vivo Man Liao a#, Gengshen Song b#, Xiaoye Cheng a, Xinpeng Diao a, Yupeng Sun a, Lantong Zhang a* a
Department of Pharmaceutical Analysis, School of Pharmacy, Hebei
Medical University, 361 East Zhongshan Road, Shijiazhuang, Hebei 050017, P. R. China. b
*
Beijing Youcare Kechuang Pharmaceutical Technology Co., Ltd. Corresponding author:
Tel: +86-311-86266419. Fax: +86-311-86266419. E-mail address:
[email protected] (L.T. Zhang). #
The authors contributed equally to this work.
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ABSTRACT: Coumarins are abundant in Umbelliferae and Rutaceae plants possessing varied pharmacological activities. The objectives of this study are to develop and validate method for determination of six coumarins in rat plasma by liquid chromatography coupled with tandem mass spectrometry (LC-MS) and identify the metabolites of bergapten by ultra high performance liquid chromatography coupled with quadrupole time of flight mass spectrometry (UHPLC-Q-TOF-MS), respectively. Data-dependent acquisition mode (DDA) was applied to trigger enhanced product ion (EPI) scans by analyzing multiple reaction monitoring (MRM) signals. An efficient data processing method ‘key product ions (KPIs)’ were used for rapid detection and identification of metabolites as an assistant tool. The time to reach the maximum plasma concentration (Tmax) for the six compounds ranged from 1 h to 6 h. A total of 24 metabolites of bergapten were detected in vitro and in vivo. The results could provide a basis for absorption and metabolism of coumarins.
KEY WORDS: Coumarins, bergapten, pharmacokinetic, UHPLC-Q-TOF-MS, metabolites
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INTRODUCTION
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Coumarins, which have the basic structure of benzo-[alpha]-pyrone, possess
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excellent activities, including anti-inflammatory,1 anti-cancer,2 anticoagulant3
4
properties and effects on cardiovascular disease.4 They are abundant in Umbelliferae
5
and Rutaceae plants, such as Cnidium monnieri (L.) Cuss,5 Peucedanum ostruthium
6
(L.) Koch,6 Citrus paradise Macf.7 and Citrus aurantium L.8
7
Six coumarins, xanthotoxin, isopimpinelline, bergapten, imperatorin, osthole and
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isoimperatorin are abundant in Cnidii Fructus (the dried ripe fruits of Cnidium
9
monnieri (L.) Cuss9). Plenty of investigations on their pharmacological effects have
10
proved that they possess anti-mutagenic,10 antitumor,11 antiarrhythmic12 and anti-
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inflammatory13 activities. Moreover, they have an inhibitory effect on the central
12
nervous system14 and regulatory effects on the endocrine system.15 Coumarins
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extracted from Cnidii Fructus have been granted more attention for their application
14
for insect control on crops in recent years.16-20 Therefore, it is essential to investigate
15
on the dynamic process in vivo in order to understand their pharmacological
16
mechanisms and for their safety. Bergapten, as the representative furocoumarin, has
17
been found in high concentration in most Umbelliferae plants and its ability to induce
18
apoptosis has also been shown. Panno ML et al., through flow cytometric analysis,
19
proved that bergapten was part of membrane signalling pathways which were able to
20
address apoptotic responses in both breast cancer cells with exposure to UV.21 Lin BH
21
et al. demonstrated the inhibitory effect of bergapten on nasopharyngeal carcinoma
22
cells CNE-2 and HONE-1 by CCK-8 in vitro,22 and Lee YM et al. have investigated
23
on the regulatory effect of bergapten on the proliferation and apoptosis of in HCC (J5)
24
cells by morphological analysis, cell viability assay, cell-cycle analysis and DNA
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analysis in vitro.23 Hence, new insights are needed on the metabolism of bergapten for
26
increasing its clinical value.
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In previous studies, Li YB et al. only developed a method for pharmacokinetic
28
study of osthole based on HPLC-UV,24 and Li J et al. developed a simultaneous
29
quantitation of osthole, bergapten and isopimpinellin in rat plasma and tissues by LC–
30
MS/MS after administration of Cnidii Fructus extract.25 The determination for
31
pharmacokinetic parameters of coumarins in Cnidii Fructus can reflect the absorption
32
and metabolism characteristics of them. To our knowledge, there is no report yet
33
about metabolism of bergapten in rats. Only Marumoto S et al. found that
34
biotransformation of bergapten incubated by glomerella cingulata was hydrolysis of
35
ester bond.26 Prototype compounds undergo rapid metabolism after administration,
36
and metabolites might exert higher biological activity or reduce the toxicity compared
37
with the prototype compounds.27
38
In the present study, we developed and validated an accurate, specific and sensitive
39
ultra high performance liquid chromatography coupled with electrospray ionisation
40
tandem mass spectrometry (UPLC-ESI-MS) method to determine xanthotoxin,
41
isopimpinelline, bergapten, imperatorin, osthole and isoimperatorin in rat plasma for
42
the pharmacokinetic profile. This was the first investigation on pharmacokinetic study
43
of six bioactive coumarins in Cnidii Fructus. UHPLC-Q-TOF-MS with high
44
resolution and wide mass range was applied to metabolite identification of bergapten.
45
The efficient data processing method ‘KPIs’ was used for rapid screening of
46
metabolites from biological samples preliminarily. It could avoid filtering metabolites
47
by molecular formula one by one. Based on chromatographic behaviors,
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fragmentation patterns, accurate mass measurement and relevant biotransformation
49
pathways, a total of 24 metabolites (15 phase I and 9 phase II metabolites) were 4
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investigated in rat liver microsomes (RLMs), rat plasma, urine, bile and feces. The
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results would help to explain the process of major coumarins in Cnidii Fructus in vivo
52
and provide technical support for the pharmacological mechanism investigation of
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new plant medicine.
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MATERIALS AND METHODS
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Chemicals and Reagents. Xanthotoxin (14012444) was purchased from Shanghai
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Tauto Biotech Co., Ltd. Isopimpinelline (121023), bergapten (120816), imperatorin
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(110826-201214), osthole (110822-200407), isoimperatorin (110827-200407) and
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sulfamethoxazole (100025-200904) were obtained from National Institutes for Food
59
and Drug Control. The purities of them were greater than 98% by HPLC analysis.
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RLMs were laboratory-made,28 and the protenin concentration was determined by the
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Lowry method.29 RLMs were stored at -80 °C until used. Phosphate buffer saline
62
(PBS), β-Nicotin-amide adenine dinucleotide phosphate (NADPH), UDP-D-
63
glucuronide trisodium salt (UDPGA) and alamethicin were purchased from Solarbio
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Science Co., Ltd. (Beijing, China). Sodium carboxymethyl cellulose (CMC-Na),
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magnesium chloride hexa-hydrate and other chemicals were of analytical grade
66
(Tianjin Chemical Corporation, China). Methanol and acetonitrile purchased from
67
Merck Company (Germany) were of HPLC grade. And HPLC grade of formic acid
68
and acetic acid were obtained from Diamond Technology Incorporation. Purified
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water was purchased from Wahaha (Hangzhou Wahaha Group Co., Ltd.). Cnidii
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Fructus was collected from Hebei province and further confirmed by Professor Jiping
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Duan (Hebei Institute for Food and Drug Control, Shijiazhuang, China). The voucher
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specimens were preserved in the Laboratory of Pharmaceutical Analysis, School of
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Pharmacy, Hebei Medical University (voucher No.CF-20160911-001).
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UPLC-ESI-MS condition. Chromatographic separation of analytes was performed
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on a Waters I-Class UPLC system (USA) with a Waters ACQUITY BEH C18 column
76
(50 mm×2.1 mm, 1.7 µm). The column temperature was maintained at 40 °C. The
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mobile phase was composed of acetonitrile (A) and 0.1% acetic acid aqueous solution
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(B) basing on a gradient elution of 30-50% A at 0-1.3 min, 50-80% A at 1.3-2.2 min,
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80% A at 2.2-3.5 min, 80-30% A at 3.5-4.0 min, 30% A at 4.0-5.0 min, and the re-
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equilibration time was 1 min. The flow rate was 0.3 mL/min. The sample injection
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volume was 2 µL.
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Determination was achieved by a Waters Xevo TQ-S system which possessed a
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hybrid triple quadrupole linear ion trap mass spectrometer equipped with StepWaveTM
84
sources. The capillary voltage and source offset were set at 2.0 kV and 50 V on
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positive electrospray mode (sFigure 1), respectively. The temperatures of source and
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desolvation were 150 °C and 500 °C, and the flow rates of desolvation and cone gas
87
were 800 L/Hr and 150 L/Hr, respectively. Multi-reactions monitoring (MRM)
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technology of triple-quadrupole tandem mass spectrometer was applied for
89
quantitative analysis.
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UHPLC-Q-TOF-MS condition. The condition was as described in Sun YP et.al
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(2018)30 with the modification: column temperature was set at 40 °C for greater
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chromatographic separation. It was proved that the peak responses and shapes of
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analytes were optimized with the mobile phase using a mixture 0.1% formic acid-
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water (A) and acetonitrile (B). The optimized gradient elution for bergapten was as
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follows: 0-20 min, 10-50% B; 20-21 min, 50-95% B; 21-23 min, 95% B. The program
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maintained for 3 min at the initial gradient concentration for column balance before
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next injection. The flow rate was set at 0.30 mL/min, and the injection volume was 5
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µL. 6
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The parameters of the MS/MS detector were as follows in positive ESI mode: ion
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spray voltage (IS): 5500 V, turbo spray temperature: 550 °C, nebulizer gas (Gas1): 55
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psi, heater gas (Gas2): 55 psi, curtain gas: 35 psi, declustering potential (DP): 60 V.
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The collision energy spread (CES) was set to 35±15 eV which has been optimized for
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observing better MS/MS spectra. For the DDA criteria, the parameter was set over 50
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cps counts to perform a full scan, and the ten most intensitive fragment ions of each
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compound were acquired. Moreover, multiple mass defect filter (MMDF) and
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dynamic background subtraction (DBS) which are the superior techniques supplied by
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AB Sciex software can screen the mass spectra entirely and conduct the product ion
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scan to avoid omission of minor compounds. Therefore, they were applied to trigger
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the DDA function in the study.30 MMDF window was set to ±40 mDa, and the mass
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range was set to ±50 Da around each filter template. Simultaneously, calibration
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delivery system was acquired for calibrating mass numbers online. Analyst® TF 1.7
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software (AB Sciex) was applied for data acquisition.
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Preparation of Cnidii Fructus extract. The preparation of Cnidii Fructus extract
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was as described in Zhang ZY et.al (2014)31 with some changes. The percentage of
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solvent was 75%. The proportions of three times extraction were 1:20, 1:20 and 1:10
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(w/v). The final concentration of Cnidii Fructus extract was 1.0 g/mL of the raw
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Cnidii Fructus material equivalently. The contents of xanthotoxin, isopimpinelline,
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bergapten, imperatorin, osthole and isoimperatorin in the extract were 840.4±3.7,
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1889.0±11.9, 958.7±4.5, 4401.3±28.5, 8800.7±51.4, 37.7±0.6 µg/mL determined by
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the external standard method, respectively.
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Preparation of standard solution and quality control (QC) Samples. The stock
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solutions of xanthotoxin, isopimpinelline, bergapten, imperatorin, osthole and
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isoimperatorin were prepared at 0.2 mg/mL in methanol and stored at –80 °C. The IS 7
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solution (500.0 ng/mL) was prepared with sulfamethoxazole in methanol. A series of
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working standard solutions of six compounds were conducted by dilution of stock
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solutions with methanol to obtain the desired concentrations and stored at 4 °C before
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injection.
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For the calibration standards, the proper amounts of working solutions were
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separately added to 0.5-mL microcentrifuge tubes and dried under nitrogen at 40 °C.
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An aliquot (100 µL) of drug-free rat plasma was added to each microcentrifuge tube
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and vortex-mixed to produce the following concentrations at 0.50, 1.00, 2.50, 12.50,
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25.0 and 250.0 ng/mL in plasma. The QC samples were independently prepared in the
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same method as calibration standards to produce three concentrations: 1.0 ng/mL (low
134
QC), 12.5 ng/mL (medium QC) and 250.0 ng/mL (high QC). The calibration
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standards and QC samples were prepared freshly before analysis.
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Preparation of plasma samples. Plasma samples (100 µL) were spiked with 400
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µL methanol containing 100.0 ng/mL sulfamethoxazole (IS). The mixture was vortex-
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mixed and centrifuged at 13,697g for 10 min. Clear supernatant (50 µL) was
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transferred into vials, and 2 µL supernatant was injected into the UPLC-ESI-MS
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system for analysis. All prepared samples were kept in an auto-sampler at 4 °C until
141
injection.
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Method validation. In accordance with the regulatory guidelines,32 a full validation was performed for this assay in rat plasma.
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Assay specificity.31 By comparing peak responses of blank plasma, plasma spiked
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with analytes and IS and plasma samples after administration of Cnidii Fructus extract
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from six different rats, potential interferences were investigated from endogenous
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compounds.
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Linearity, LLOQ and LOD.31 The plasma standard curves were determined by six
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concentration levels, and each concentration was determined in duplicate on 3
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separate days. The standard curves which were exhibited in the form of y = ax+b
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(1/x2 weighted) were protracted by the plot of peak-area ratios of six compounds
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versus IS against concentrations of the calibration standards.
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LLOQ (S/N=10) and LOD (S/N=3) were investigated on dilution of standard
154
solutions to achieve the minimum concentration for reliably quantification and
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detection of analytes, respectively. The acceptable precision should be lower than
156
20%, and the accuracy should be within ±20%.
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Carryover effect. Carryover was evaluated by injecting a blank plasma sample
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immediately after double injections of the highest calibration concentration (ULOQ).
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Blank plasma sample measurements were required to be below 20% of the LLOQ and
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5% of the IS.
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Accuracy and precision. The intra-day precision, inter-day precision and accuracy
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were evaluated by the analysis of six repeated samples at three different QC samples
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(low, medium and high concentration levels) on the same day and continuous analysis
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of duplicate samples on six days, respectively. The precision was showed as the
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relative standard deviation (RSD, %), and the accuracy was calculated as the relative
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error (RE, %) between calculated and actual concentrations. The acceptance criteria
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were ≤15% for precision and ±15% for the accuracy. The reinjection reproducibility
168
was measured by the reinjection of all QC samples from an accepted precision-
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accuracy batch during validation.
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Extraction recovery and matrix effect. Six blank matrices from different donors
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were collected to prepare different concentrations of QC samples. The extraction
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recoveries were measured by comparing the peak areas detected from blank plasma 9
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spiked with standard substances before extraction to those after extraction. The matrix
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effects were evaluated by comparing the peak areas of the analytes and IS in pre-
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treated blank plasma in which standard substances dissolved with equivalent amounts
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of the analytes or IS.
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Dilution reliability.33 Six blank plasma replicates of spiked plasma sample were
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added moderate standard analytes to achieve 10-fold and 25-fold higher than high
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concentration of QC. Then, the samples were diluted to high concentration of QC
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with blank plasma and taken 100 µL for preparation samples to analyze with
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undiluted calibration standards. The accuracy and precision were required to be within
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the acceptable limits (±15%).
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Stability.31 Six replicate QC samples were exposed at room temperature for 4 h and
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24 h for determining post-preparation stability and short-term stability, respectively.
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Long-term stability tests and freeze–thaw stability tests were evaluated by storing the
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samples at -20 °C after 30 days and treating samples with three freeze (-20 °C)–thaw
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(room temperature) cycles separately. Besides, extracted sample stability tests were
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investigated by placing the extracted samples at room temperature for 24 h.
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Pharmacokinetic study in rat plasma. Male Sprague-Dawley rats (Certificate No.
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SCXK 2013-1-003, weighing from 240 g to 260 g) were provided by the
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Experimental Animal Center of Hebei Medical University (Shijiazhuang, China). All
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experiments on animals followed the both guidelines of the Committee on the Care
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and Use of Laboratory Animals in our laboratory and experimental animal
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management committee of Hebei Medical University in China. The rats were fed in
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an environmentally managed room (temperature: 22±2 °C, humidity: 50±5%; 12-h
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dark and light cycle) for 1 week before being used. The rats were fasted for 12 h but
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with access to water before intragastric administered Cnidii Fructus extract. Six 10
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healthy male Sprague-Dawley rats were intragastric administrated 6.0 mL/kg extracts
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respectively. Blood samples were collected at 0.08, 0.17, 0.33, 0.5, 0.75, 1, 1.5, 2, 3, 6,
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9, 12, 24 and 30 h from the fossa orbitalis vein after intragastric administration. The
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blood samples were collected in heparinized tubes and centrifuged at 1522g for 10
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min. Then the plasma layers were immediately moved to clean tubes and stored at -
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20 °C before analysis.
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The pharmacokinetic analysis of concentration-time data in non-compartmental
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mode was conducted by Drug and Statistics (DAS) 2.0 software (Mathematical
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Pharmacology Professional Committee of China, Shanghai, China).21 The time to
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maximum concentration (Tmax) and maximum plasma concentration (Cmax) were
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gotten intuitively from the observed data. The area under the plasma concentration–
209
time curve (AUC0–t) was observed by the trapezoidal rule. Based on AUC0–t, the
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AUC0–∞ values were conducted by taking the value of Ct×k-1 into it. The elimination
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half-life (T1/2) was calculated basing on the equation of T1/2=0.693/k. The elimination
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rate constant (k) was evaluated by least-square regression of the logarithmic
213
transformation of the last four detected points of plasma standard curves.31
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Microsomal incubation
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Phase I metabolism. A typical incubation mixture34,35 was carried out in a 0.1
216
mol/L phosphate buffer (pH 7.4) containing 25.0 µmol/L bergapten, 0.4 mg rat liver
217
microsomal protein, 3.3 mmol/L MgCl2 and 2.0 mmol/L β-NADPH in the final
218
volume 200 µL. The percent of organic solvent must be limited in 1% (v/v) in the
219
final incubation. Then, the mixture was pre-warmed for 5 min at 37 °C and added
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NADPH to initiate the system. The incubation time was 60 min under 37 °C. Ice-cold
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ethyl acetate was used to end reaction and extract metabolites. After centrifugation at
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21,380g for 10 min, the organic phase layer was retained and dried under nitrogen gas. 11
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The residues were reconstituted in 200 µL 90% acetonitrile, and the suspension was
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filtered with a 0.22 µm polytetrafluoroethylene (PTFE) membrane filter. Moreover,
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blank samples were incubated without bergapten, and control samples were incubated
226
without NADPH generating system under the same condition.
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Phase II metabolism. The incubation mixture contained 25.0 µmol/L bergapten,
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0.4 mg rat liver microsomal protein, 3.3 mmol/L MgCl2, 2.0 mmol/L UDPGA and
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25.0 µg/mL alamethicin in 50.0 mmol/L Tris-HCl buffer (pH 7.4) with a final volume
230
of 200 µL. The organic solvent did not exceed 1% (v/v) in the incubation. The mixture
231
was preincubated for 15 min at 37 °C and initiated by the addition of UDPGA.
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Reaction termination was achieved after 60 min at 37 °C by adding 0.2 mL ice-cold
233
acetonitrile. The methods for centrifugation and filtration were the same as described
234
in phase I metabolism. Blank samples were incubated without bergapten, and control
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samples were incubated without UDPGA under the same treatment as test sample.
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Animals and drug administration. Eighteen male Sprague-Dawley rats were
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randomly divided into six groups with three rats per group (Group 1, 2&3, blank
238
groups; Group 4, 5&6, experimental groups). The animals were the same batch as
239
these in the part of pharmacokinetic study and fed in the same environment as above.
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All the animals were fasted for 12 h but free access to water before the experiment.
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Bergapten powders was dissolved in 0.6% (10.0 mg/mL) CMC-Na solution, and a
242
dose of 50 mg/kg body weight was intragastric administrated to the experimental
243
groups (Group 4, 5&6). An equivalent CMC-Na solution without bergapten was
244
administration to the blank groups.
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Bio-sample collection and pretreatment. Each group was housed individually in metabolic cage for sample collection.
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Blood samples were collected from posterior orbital venous in heparinized tubes
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before (0 h) and at 0.33, 0.5, 1, 1.5, 2, 3, 6, 9, 12 h after intragastric administration.
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Then the samples were centrifuged at 1522g for 5 min to obtain the plasma. Each rat’s
250
samples from all time points were mixed together.
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Three rats were immediately anesthetized with urethane (at the dose of 1.0 g/kg) by
252
intraperitoneal injection and fixed on a wooden plate after administered bergapten. An
253
abdominal incision was made, and the bile duct was fixed for collection. Bile samples
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were collected for 24 h.
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Urine and feces samples were collected for 48 h after administration and free
256
access to purified water. The blank group was administered equivalent water with the
257
same treatment as the test samples.
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Three milli-litter (mL) of plasma was treated with 4-fold acetonitrile to precipitate
259
proteins and vortexed for 10 min. 3 mL of bile, 3 mL of urine and 0.5 g feces were
260
vortexed for 10 min with 3-fold ethyl acetate for three times and combined all
261
supernatant. Then the mixtures were centrifuged at 21,380g for 10 min, and the
262
organic phase was removed under nitrogen gas. The blank biological samples were
263
treated with the same method as the other samples. All samples were stored at -80 °C.
264
Before analysis, the residues were dissolved in 90% acetonitrile (600 µL) completely,
265
and the supernatant was filtered through a 0.22 µm PTFE membrane filter.
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Analytical strategy. The analytic strategy was divided into five steps: First, on-line
267
data were acquired using full-scan, and an efficient MMDF and DBS-dependent data
268
acquisition method which held the ability of capturing the low-level metabolites
269
clearly were adopted to get MS and MS/MS data. Second, a special assistant tool
270
KPIs was used as markers for metabolites detection and identification. Fragment ion
271
m/z 91.0555 was selected as the diagnostic ion for observing relevant metabolites. 13
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Third, a series of data mining tools included in MetabolitePilotTM software 2.0 (AB
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Sciex) such as EIC and TIC were used for post-acquisition data processing. The
274
chemical libraries including possible metabolic pathways, chemical structures and
275
sample files of bergapten were set up for searching possible metabolites. Fourth,
276
unlikely metabolites were deducted from the blank sample. The structures of
277
remaining metabolites were identified by analysis of the chromatographic behaviors,
278
protonated ions and MS/MS fragment ions. The mass error should be limited in ±5
279
ppm. The last step was distinguishing the isomers by Clog P which was calculated by
280
ChemBioDraw Ultra 14.0 software. The values of Clog P varied inversely with the
281
retention time of metabolites.
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RESULTS AND DISCUSSION
283
Results of pharmacokinetic study
284
Specificity. There were no significant interferences from endogenous components
285
detected in blank plasma. The retention time of xanthotoxin, isopimpinelline,
286
bergapten, imperatorin, osthole, isoimperatorin and IS were 1.49, 1.65, 1.74, 2.35,
287
2.50, 2.60 and 0.90 min, respectively. Total-ion MRM chromatograms and
288
representative extracted MRM chromatograms of xanthotoxin, isopimpinelline,
289
bergapten, imperatorin, osthole, isoimperatorin and IS of blank plasma, blank plasma
290
spiked with them and 3 h sample plasma after intragastric administration of Cnidii
291
Fructus extract were shown in Figure 1. The chemical structures and mass
292
spectrometry information were exhibited in sFigure 2.
293
Linearity, LLOQs and LODs. The calibration standard curves, LLOQs and LODs
294
of the analytes were showed in sTable 1. The correlation coefficient of standard
295
curves (r2) ranged from 0.9983 to 0.9998 with good linearity. The precision and
296
accuracy of LLOQ were lower than 15.0%. 14
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Carryover effect. Carryover amount was shown to be negligible (≤0.45%) and conformed to the regulations.
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Accuracy and precision. The results of intra-day precision, inter-day precision and
300
accuracy of six analytes at low, medium and high concentration levels were listed in
301
Table 1. The intra-day and inter-day precisions (RSD, %) were within 6.2% and 5.1%,
302
respectively. The intra-day and inter-day accuracies (RE, %) of these analytes were
303
ranged from −7.5% to 5.0% and −5.0% to 5.1%, respectively.
304
Extraction recovery and matrix effect. The mean extraction recoveries of six
305
analytes were ranged from 72.3% to 88.7% recorded in the Table 2. The results of
306
matrix effect implied that there were no obvious matrix effect for xanthotoxin,
307
isopimpinelline, bergapten, imperatorin, osthole, isoimperatorin and IS shown in
308
Table 2. The recovery rate and the matrix effect of IS was 85.7% and 99.8%,
309
respectively.
310
Dilution reliability. The accuracy (RE, %) and the precision (RSD, %) were all
311
within the range from −15% to 15%. These results fulfilled the acceptance criteria,
312
which indicated that plasma samples with concentrations exceeding the ULOQ could
313
be measured reliably after appropriate dilution. The data were shown in sTable 2.
314 315
Stability. The results of stability under different conditions were shown in sTable 3 and sTable 4. The analytes held good stability under the above storage conditions.
316
Pharmacokinetic study. The concentrations of the six coumarins in the plasma
317
were calculated by putting peak areas into the standard curve equations. The mean
318
plasma concentration–time profiles of the analytes were developed by LC–MS/MS
319
method and shown in Figure 2, and the pharmacokinetic parameters were listed in
320
Table 3.
15
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321
According to the pharmacokinetic test results, six analytes were rapidly absorbed
322
after intragastric administration of Cnidii Fructus extract in rat plasma. The highest
323
concentration and the lowest concentration among the six coumarins detected in
324
plasma were osthole and isoimperatorin, respectively. Compared with the content
325
detected in the extract, there might be a positive relationship between the
326
concentrations of analytes in the extract and that in the rat plasma. In general, the
327
elimination rates (Ke) of xanthotoxin, isopimpinelline, bergapten, imperatorin, osthole
328
and isoimperatorin were ranged from 0.1066 to 0.2502. The T1/2 values for them were
329
3.4, 5.7, 4.2, 3.9, 2.8 and 6.5 h, respectively. Osthole holds the shortest T1/2 and the
330
fastest elimination rate. Besides, there were significant differences in Tmax which
331
could be divided into two groups. Xanthotoxin, isopimpinelline, bergapten,
332
imperatorin and isoimperatorin were constituted to one group which achieved the
333
peak concentrations within 3 h. Osthole held the longest Tmax at 6 h specially which
334
indicated
335
pharmacokinetic parameters in vivo. All of the six analytes were absorbed rapidly and
336
had the similar elimination rate.
the
slowest
absorption.
The
six
analytes
possessed
distinctive
337
Compared with previous investigations on pharmacokinetics of Cnidii Fructus,24,25
338
the values of Cmax, Tmax, AUC0-t and AUC0-∞ presented some differences. However the
339
values of T1/2 and Ke were essentially in agreement. The major influence factors
340
contributed to the difference might be rat species, the content of coumarins and the
341
interaction between active conponents in the extract. Besides, different detecting
342
instruments and feeding environments were also the important causes.
343
Results of metabolites identification of bergapten
344
Mass spectral fragmentation of bergapten. To efficiently identify metabolites,
345
MS spectrum, MS/MS fragmentation pathways and retention time in the 16
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346
chromatogram were observed by bergapten standard. The chemical structure was
347
shown in Figure 3. Following the present chromatographic and mass conditions, the
348
reference bergapten was eluted at 14.33 min and yielded [M+H]+ ion at m/z 217.0507.
349
The major MS/MS product ions were m/z 217.0507, 202.0270, 174.0319, 146.0365,
350
118.0419 and 91.0555, which were yielded by the first loss of methyl and then
351
successive losses of CO.36 The cleavage pathway of bergapten was exhibited in
352
sFigure 3.
353
Characterization of metabolites by UHPLC-Q-TOF-MS. The extracted ion
354
chromatograms of KPI (KPI= m/z 91.0555) filtering to hunt metabolites of bergapten
355
in bio-samples were shown in sFigure 4. The potential metabolites were observed by
356
comparison of the extracted ion chromatograms (EICs) of normal samples with the
357
EICs of blank samples (as shown in Figure 4). The most possible molecular formulas
358
of metabolites were detected by different rules, including mass accuracy limited in ±5
359
ppm, the nitrogen rule, the isotopic pattern and the double-bond equivalents (DBE).
360
Then the tentative chemical structures of them were identified by MS/MS
361
fragmentation and common metabolic pathways (as shown in sTable 5). A total of 24
362
metabolites of bergapten were detected, including 15 phase I metabolites and 9 phase
363
II metabolites. The detailed information of them was listed in Table 4. Representative
364
MS/MS spectra of M12, M16, M19 and M23 were shown in Figure 5, and the
365
proposed metabolic pathways of bergapten in vitro and in vivo were summarized in
366
Figure 6. The structural inference process of representative metabolites which hold
367
higher amount or were conducted by characteristic metabolic reactions were
368
summarized as follows.
369
Phase I metabolites. M11 (tR=4.94 min) and M12 (tR=6.88 min) both showed
370
protonated ion at m/z 251.0556, implying that they were isomers of the molecular 17
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371
formula C12H10O6. They were 34 Da (H2O2) higher than M0. The product ions at m/z
372
233, 205 and 175 were observed by losses of H2O, CO and CH2O consecutively.
373
Therefore, M11 and M12 were tentatively identified as the oxydrolysis metabolite of
374
M0.25 Oxydrolysis reaction refers to that the compound undergoes further hydrolysis
375
reaction at double bond of carbon based on mono-oxidation.37 The values of Clog P of
376
C-2’-C- 3’ oxydrolysis metabolite and C-3-C- 4 oxydrolysis metabolite were -0.5212
377
and 0.1216 calculated by ChemBioDraw Ultra 14.0, respectively. According to the
378
polarity rule, M11 was identified as C-2’-C- 3’ oxydrolysis metabolite, and M12 was
379
identified as C-3-C- 4 oxydrolysis metabolite.
380
M16 was eluted at 8.01 min and presented an accurate protonated ion [M+H]+ at
381
m/z 235.0603 (elemental composition of C12H10O5), which was 18 Da higher than that
382
of M0. The characteristic ion of M16 was m/z 164.0392, resulting from the hydrolysis
383
reaction located at C-1’ and C-2’ of m/z 146 from M0.37 The other main product ions
384
were m/z 220.0339 and m/z 164.0392.
385
The protonated ion at m/z 249.0393 (M17) with molecular formula speculated to
386
be C12H8O6 was eluted at 8.35 min, which was 32 Da (2O) higher than that of M0.
387
Compared with m/z 118.0419 from M0, the diagnostic ion m/z 150.0305 was 32 Da
388
higher than it. It indicated that the oxidation positions of M0 might be C-3’and C-8 or
389
C-4 and C-8.
390
M18 and M24 were the isomeric metabolites with the molecular formula
391
C13H10O5, which were eluted at 9.83 min and 14.49 min, respectively. They both
392
showed the protonated ion [M+H]+ at m/z 247, indicating addition of 30 Da (CH2O)
393
from M0. M24 was detected the fragment ions at m/z 162.0250 and m/z 134.0281,
394
which was 16 Da higher than m/z 146.0363 and m/z 118.0418 from M0, respectively.
395
From above-mentioned, the methoxylation was inferred to add at C-8. Compared with 18
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the current reference, M24 was confirmed as isopimpinellin. Further major fragment
397
ion of M18 was m/z 232.0355, which was 30 Da higher than that of M0. In
398
consideration of steric hindrance, the methoxylation position might be C-2’or C-3’.
399
M19, M21 and M22 were the isomeric metabolites with the molecular formula
400
C12H8O5, suggesting that 16 Da (O) higher than that of M0. They were eluted at 10.00
401
min, 10.79 min and 12.69 min respectively and showed the protonated ion [M+H]+ at
402
m/z 233. Further major MS/MS framentation showed fragment ions at m/z 190, 162
403
and 134. The characteristic ion at m/z 134 indicated that mono-oxidation position
404
might be C-3’, C-4 or C-8 compared with the fragment ion m/z 118.0419 from M0.
405
The values of ClogP of C-3’, C-4 and C-8 mono-oxidation metabolites were
406
calculated to be 1.6813, 2.1618 and 2.4492. According to the normal rule ‘the greater
407
the value, the smaller the polarity, the shorter the retention time’, M19, M21 and M22
408
were investigated as C-3’, C-4 and C-8 mono-oxidation metabolites of M0,
409
respectively.
410
The protonated metabolite at m/z 219.0660 (M23) with molecular formula
411
C12H10O4 was eluted at 14.30 min. There were representative fragment ions at m/z
412
204. 0321, 176.0336 and 148.0428, which exhibited a neutral addition of 2 Da (2H)
413
compared with those of M0. It indicated that hydrogenation position of M0 might be
414
located at C-2’ and C-3’.37
415
Phase II metabolites. M1 and M2 were the isomeric metabolites with the
416
molecular formula C18H18O11, suggesting that 176 Da (O) higher than that of M16.
417
M1 and M2 was eluted at 3.18 min and 3.44 min and showed the protonated ions at
418
m/z 411.0920 and m/z 411.0918, respectively. The distinctive fragment ions at m/z
419
235.0503 and m/z 217.0491 were observed indicating the successive loss of C6H8O6
420
and H2O from M1. M2 held the same fragment pattern as M1. Therefore, we deduced 19
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421
the M1 and M2 were the glucuronic acid conjugated products of M16. The glucuronic
422
acid conjugation position might be C-2’ hydroxyl or O-1’. Compared the values of
423
Clog P of them, M1 and M2 were identified as C-2’ hydroxyl glucuronic acid
424
conjugated metabolite and O-1’ glucuronic acid conjugated metabolite, respectively.
425
The summary of metabolites of bergapten. There were 13 metabolites detected in
426
vitro and 23 metabolites detected in vivo, including 13 metabolites (M3, M7, M11,
427
M12 and M16-M20) in RLMs, 13 metabolites (M4, M7, M10, M13-M15 and M18-
428
M24) in plasma, 16 metabolites (M1-M11, M13, M15, M18, M20 and M23) in bile,
429
18 metabolites (M1-M11, M13, M15, M18-M21 and M23) in urine and 17
430
metabolites (M1-M13, M15, M16, M20 and M24) in feces. According to the
431
biotransformation of bergapten in this study, we inferred that oxidation and
432
glucuronide conjugation might be the main metabolic pathways of furanocoumarins.
433
However, there were some differences between four metabolic pathways. By
434
comparison of metabolic profile, bergapten held more metabolically active in bile,
435
urine and feces samples than that in RLMs and blood sample. The main
436
biotransformation pathways were hydrolysis, hydrogenation and glucuronide
437
conjugation in vivo. Mono-oxidation, di-oxidation and oxydrolysis were the major
438
metabolic pathways in RLMs.
439
Mono-oxidation and ester hydrolysis metabolite (M7) and demethylation
440
metabolite (M20) were recognized as important metabolites which could be found in
441
all biological samples. The di-oxidized metabolite M17 was only detected in RLMs
442
samples which indicated that succession oxidation might relate to expose to for a
443
short period of time. The sulfate conjugation metabolites (M13 and M15) and
444
glucuronide conjugation metabolites (M1, M2, M4, M5, M6, M8 and M9) were only
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445
observed in vivo. We inferred that the major reason was the absence of specific
446
enzymes for conjugation in microsomal incubation in RLMs.
447
In conclusion, the UPLC-ESI-MS/MS method was developed for simultaneous
448
determination of xanthotoxin, isopimpinelline, bergapten, imperatorin, osthole and
449
isoimperatorin in rat plasma in positive ionization mode with higher accuracy and
450
specificity after intragastric administration of Cnidii Fructus extract firstly. The
451
excellent precision, accuracy, extraction recovery, selectivity and sensitivity showed
452
the suitability of this method for pharmacokinetic study. A powerful UHPLC-Q-TOF-
453
MS method was conducted to detect and identify metabolites of bergapten, which
454
could qualitatively elucidate the clear mechanism of its transformation. Twenty-four
455
metabolites of bergapten including 13 in vitro and 23 in vivo were identified or
456
tentatively identified. In this work, pharmacokinetics study of six bioactive coumarins
457
would provide a basis for deeper investigation of the absorption mechanism of Cnidii
458
Fructus, and metabolic pathways of bergapten is meaning for metabolic profile of
459
furanocoumarins in vitro and in vivo.
460 461
ABBREVIATIONS USED
462
LC-MS, liquid chromatography coupled with tandem mass spectrometry; UHPLC-Q-
463
TOF-MS, ultra high performance liquid chromatography coupled with quadrupole
464
time of flight mass spectrometry; DDA, data-dependent acquisition mode; EPI,
465
enhanced product ion; MRM, multiple reaction monitoring; KPIs, key product ions;
466
UPLC-ESI-MS, ultra high performance liquid chromatography coupled with
467
electrospray ionisation tandem mass spectrometry; RLMs, rat liver microsomes; PBS,
468
Phosphate buffer saline; NADPH, β-Nicotin-amide adenine dinucleotide phosphate;
469
UDPGA, UDP-D-glucuronide trisodium salt; CMC-Na, sodium carboxymethyl 21
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470
cellulose; MMDF, multiple mass defect filter; DBS, dynamic background subtraction;
471
QC, quality control; PTFE, polytetrafluoroethylene; DBE, double-bond equivalents.
472 473
ACKNOWLEDGMENTS
474
All of the authors are grateful for the support from Department of Pharmaceutical
475
Analysis of school of Pharmacy in Hebei Medical University.
476 477
FUNDING
478
The work received financial support from the National Natural Science Foundation of
479
China (No. 81473180).
480 481
CONFLICT OF INTEREST
482
The authors have declared no conflict of interest.
483 484 485 486
SUPPORTING INFORMATION The Supporting Information is available free of charge on the ACS Publications website.
487
The relevant results of method validation of pharmacokinetic study and the
488
extracted ion chromatograms of KPI (KPI= m/z 91.0555) filtering to hunt metabolites
489
of bergapten
490 491 492 493 494 22
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FIGURE CAPTIONS Figure 1. Representative exact-ion MRM chromatograms of xanthotoxin (l), isopimpinelline (2), bergapten (3), imperatorin (4), osthole (5), isoimperatorin (6) and sulfamethoxazole (IS) .A) blank plasma, (B) blank plasma spiked with the six analytes and IS, and (C) 3 h sample plasma after intragastric administration of Cnidii Fructus extract. Figure
2.
Mean plasma concentration–time profiles of xanthotoxin (A),
isopimpinelline (B), bergapten (C), imperatorin (D), osthole (E) and isoimperatorin (F) in six rats after intragastric administration of Cnidii Fructus extract. (The error of each data point was within ± 5.0%.) Figure 3. Chemical structure of bergapten. Figure 4. Extacted ion chromatograms of the 24 metabolites of bergapten. Figure 5. MS/MS spectra and major proposed fragmentation patterns of M12 (A), M16 (B), M19 (C), M23 (D). Figure 6. Proposed major metabolic pathways of bergapten (1.Oxidation, 2.Hydrogenation, 3.Hydrolysis, 4.Methylation, 5.Demethylation, 6.Oxydrolysis, 7.Loss of –OCH3, 8.Glucuronide Conjugation, 9.Sulfate Conjugation, ‘*’ means that the probable metabolic sites of bergapten metabolites).
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Table 1. The Intra-and Inter-day Accuracy and Precision of Xanthotoxin, Isopimpinelline, Bergapten, Imperatorin, Osthole and Isoimperatorin in Rat Plasma at Low, Medium, High Concentration Levels (n=6)
Compounds
Intra-day(n=6)
Spiked Measured concentration concentrationa (ng/mL) (ng/mL) Xanthotoxin 1.0 1.0±0.0 12.5 12.5±0.5 250.4 251.3±5.1 Isopimpinelline 1.0 1.1±0.1 12.5 12.5±0.8 240.3 250.6±5.4 Bergapten 1.0 0.9±0.1 12.5 12.4±0.4 250.6 251.4±5.3 Imperatorin 1.0 1.0±0.0 12.3 12.4±0.4 245.1 250.0±4.7 Osthole 1.0 1.0±0.0 12.4 12.5±0.3 248.8 248.3±5.8 Isoimperatorin 1.0 1.1±0.1 12.5 12.3±0.4 250.3 248.0±4.2 a Mean ± standard deviation.
Inter-day(n=6)
Accuracy (RE, %)
Precision (RSD, %)
Measured concentrationa (ng/mL)
Accuracy (RE, %)
Precision (RSD, %)
-5.0 -0.6 0.3
2.7 3.9 2.1
1.0±0.0 12.4±0.4 249.6±5.4
-2.5 -1.1 -0.3
2.6 2.9 2.2
5.0 0.2 0.6
4.8 6.2 2.2
1.0±0.1 12.8±0.4 245.5±5.0
-2.5 2.6 -1.4
5.1 3.3 2.1
-7.5 -1.2 0.3
5.4 3.5 2.1
1.1±0.0 12.8±0.3 247.5±4.2
5.0 1.7 -1.2
2.3 2.1 1.7
2.6 1.4 2.0
2.5 3.1 1.9
1.0±0.1 12.4±0.3 242.6±5.15
5.1 1.0 -1.0
4.9 2.5 2.1
-2.5 0.6 -0.2
2.6 2.2 2.4
1.1±0.0 12.6±0.4 245.0±4.2
5.0 1.2 -1.5
2.4 3.0 1.7
5.0 -2.0 -0.9
4.8 3.1 1.7
1.0±0.0 12.9±0.5 251.8±5.8
-5.0 3.2 0.6
4.8 3.1 2.3
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Table 2. The Mean Extraction Recoveries and Matrix Effect of Xanthotoxin, Isopimpinelline, Bergapten, Imperatorin, Osthole and Isoimperatorin in Rat Plasma (n = 6)
Mean extraction recoverya (%)
Matrix effecta (%)
Components Low
Medium
High
Low
Medium
High
Xanthotoxin
72.3±3.1
83.1± 3.0
78.9±2.1
82.3±3.5
85.1±5.0
99.6±2.3
Isopimpinelline
79.1±4.1
86.2±3.0
86.2±1.8
95.8±3.5
96.9±3.2
98.5±2.1
Bergapten
75.4±4.0
79.3±2.3
78.1±3.0
100.2±4.1
99.8±3.3
97.8±2.1
Imperatorin
73.1±4.1
86.2±3.0
83.9±2.5
100.1±3.3
97.6±2.8
94.7±3.2
Osthole
79.1±5.7
82.9±2.9
88.7±2.0
100.1±3.0
98.9±2.5
99.5±2.8
Isoimperatorin
78.4±3.9
82.3±3.1
88.7±3.0
99.3±2.8
98.9±2.7
97.8±3.7
a Mean ± standard deviation.
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Table 3. Pharmacokinetic Parameters of Xanthotoxin, Isopimpinelline, Bergapten, Imperatorin, Osthole and Isoimperatorin in Rat Plasma After Intragastric Administration of Cnidii Fructus Extract (n = 6)
Analytes
Cmaxa (ng/mL)
Tmax (h)
T1/2a (h)
Kea (1/h)
AUC0-ta (ng·h/mL)
AUC0-∞a (ng·h/mL)
Xanthotoxin
951.2±3.7
2.00
3.40±0.11
0.2038±0.0066
5466.2±120.2
5469.7±124.1
Isopimpinelline
716.9±4.0
3.00
5.69±0.18
0.1218±0.0039
4821.0±111.0
4866.1±113.3
Bergapten
490.8±2.0
3.00
4.21±0.12
0.1646±0.0047
3154.8±98.4
3163.3±99.9
Imperatorin
642.6±3.8
1.00
3.87±0.07
0.1791±0.0032
2555.7±60.9
2560.9±63..0
Osthole
5634.0±11.3
6.00
2.77±0.05
0.2502±0.0045
61323.3±690.2
61393.9±695.2
Isoimperatorin
75.5±2.9
1.50
6.50±0.07
0.1066±0.0011
356.4±13.7
364.6±13.0
a Mean ± standard deviation.
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Table 4. UHPLC-Q-TOF-MS Retention Times and Fragment Ions of Metabolites of Bergapten in Vitro and in Vivo Compound ID
Retention time (min)
Formula
Calculated m/z [M+H]
Experimental m/z [M+H]
Source
Error (ppm)
Fragment ions
Potential pathway -
M0
14.33
C12H8O4
217.0495
217.0500
2.30
202.0270,174.0319,146.0365, 118.0419,91.0555
M1
3.18
C18H18O11
411.0922
411.0920
-0.49
253.0503,217.0491,192.0412, 91.0553
M2
3.44
C18H18O11
411.0922
411.0918
-0.97
253.0505,217.0489,192.0413, 174.0888,91.0555
M3
3.74
C12H10O7
267.0499
267.0503
1.50
221.0448,178.0260,150.0310, 91.0548
M4
3.78
C18H20O12
429.1028
429.1024
-0.93
253.1045,217.0655,192.0407, 91.0553
M5
3.80
C18H18O12
427.0871
427.0865
-1.40
251.0550,233.0445,205.0494, 175.0386
M6
3.83
C18H20O11
413.1078
413.1075
-0.73
237.0756,219.0650,203.0336, 176.0456
M7
3.85
C12H12O6
253.0707
253.0698
-3.56
220.0396,203.0335,217.0668, 192.0411,91.0666
M8
4.12
C18H18O12
427.0871
427.0864
-1.64
251.0548,233.0441,205.0490, 175.0385,91.0650
M9
4.45
C17H14O10
379.0660
379.0652
-2.11
203.0335,147.0436,91.0662
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Hydrolysis, Glucuronide Conjugation Hydrolysis, Glucuronide Conjugation Mono-oxidation, Oxydrolysis Mono-oxidation, Ester hydrolysis, Glucuronide Conjugation Glucuronide Conjugation, Oxydrolysis Hydrogenation, Hydrolysis, Glucuronide Conjugation Mono-oxidation, Ester hydrolysis Glucuronide Conjugation, Oxydrolysis Demethylation, Glucuronide Conjugation
RLMs
P B
U
F
+
+ +
+
+
-
- +
+
+
-
- +
+
+
+
- +
+
+
-
+ +
+
+
-
- +
+
+
-
- +
+
+
+
+ +
+
+
-
- +
+
+
-
- +
+
+
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Table 4. continued Compound ID
Retention time (min)
Formula
Calculated m/z [M+H]
Experimental m/z [M+H]
Error (ppm)
Fragment ions 219.0299,119.0103,91.0565
Potential pathway
Source RLMs
P B
Demethylation, Oxydrolysis
-
+ +
+
+
Oxydrolysis
+
- +
+
+
Oxydrolysis
+
- -
-
+
-
+ +
+
+
-
+ -
-
-
-
+ +
+
+
Hydrolysis
+
- -
-
+
Di-oxidation Mono-oxidation, Methylation
+
- -
-
-
+
+ +
+
-
Mono-oxidation
+
+ -
+
-
Demethylation
+
+ +
+
+
Mono-oxidation
+
+ -
+
-
Mono-oxidation
+
+ -
-
-
Hydrogenation Mono-oxidation, Methylation *: Identification by reference standards. RLMs: Rat Liver Microsomes; P: Plasma; B: Bile; U: Urine; F: Feces. +: detected; -: not detected.
+
+ +
+
-
+
+ -
-
+
M10
4.65
C11H8O6
237.0394
237.0385
-3.80
M11
4.94
C12H10O6
251.0550
251.0556
2.39
M12
6.88
C12H10O6
251.0550
251.0556
2.39
M13
7.17
C12H8O8S
313.0013
313.0015
0.64
233.0445,217.0118,175.0493, 91.0566
M14
7.27
C11H6O4
203.0339
203.0335
-1.97
175.0440,159.0443,147.0439, 119.0494
M15
7.28
C11H6O7S
282.9907
282.9909
0.71
203.0347,91.0543
M16
8.01
C12H10O5
235.0601
235.0603
0.85
M17
8.34
C12H8O6
249.0394
249.0394
0.00
M18
9.83
C13H10O5
247.0601
247.0602
0.40
M19
10.00
C12H8O5
233.0445
233.0435
-4.29
M20
10.25
C11H6O4
203.0339
203.0336
-1.48
M21
10.79
C12H8O5
233.0445
233.0450
2.15
M22
12.69
C12H8O5
233.0445
233.0444
-2.15
233.0448,205.0500,175.0395, 147.0436,119.0494,91.0555 233.0448,205.0500,175.0436, 149.0238,119.0494,91.0555
M23
14.30
C12H10O4
219.0652
219.0660
3.65
220.0364,202.0339,164.0392, 91.0556 150.0305,107.0496,91.0559 232.0355,217.0134,189.0179, 91.0554 190.0183,162.0238,134.0364, 91.0554 175.0447,147.0435,119.0495, 91.0563 190.0183,162.0238,134.0364, 91.0552 190.0259,162.0314,134.0354, 91.0550 204.0321,176.0366,148.0428
M24*
14.49
C13H10O5
247.0601
247.0595
-2.43
162.0250,134.0281,91.0558
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Monooxidation,Sulfate Conjugation Mono-oxidation, Loss of –OCH3 Demethylation, Sulfate Conjugation
U
F
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Figure 3
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Figure 4
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Figure 5
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Table of Contents (TOC) Graphic
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