Authors:
Ruijie Chen Wenzhou Medical University, Wenzhou 325000, China

Search for other papers by Ruijie Chen in
Current site
Google Scholar
PubMed
Close
,
Mengrou Lu Cellular Biomedicine Group (Shanghai), Inc., 333 Guiping Road, Xuhui, Shanghai 200233, China

Search for other papers by Mengrou Lu in
Current site
Google Scholar
PubMed
Close
,
Xiaoting Tu Wenzhou Medical University, Wenzhou 325035, China

Search for other papers by Xiaoting Tu in
Current site
Google Scholar
PubMed
Close
,
Wei Sun Wenzhou Medical University, Wenzhou 325000, China

Search for other papers by Wei Sun in
Current site
Google Scholar
PubMed
Close
,
Weijian Ye Wenzhou Medical University, Wenzhou 325000, China

Search for other papers by Weijian Ye in
Current site
Google Scholar
PubMed
Close
,
Jianshe Ma Wenzhou Medical University, Wenzhou 325035, China

Search for other papers by Jianshe Ma in
Current site
Google Scholar
PubMed
Close
,
Congcong Wen Wenzhou Medical University, Wenzhou 325035, China

Search for other papers by Congcong Wen in
Current site
Google Scholar
PubMed
Close
,
Xianqin Wang Wenzhou Medical University, Wenzhou 325035, China

Search for other papers by Xianqin Wang in
Current site
Google Scholar
PubMed
Close
, and
Peiwu Geng The People's Hospital of Lishui, Lishui 323000, China

Search for other papers by Peiwu Geng in
Current site
Google Scholar
PubMed
Close
Open access

We developed an ultra-performance liquid chromatography tandem mass spectrometry (UPLC–MS/MS) method for quantification of panasenoside pharmacokinetics in rat plasma and tissue distribution in mouse. Twelve male Sprague-Dawley rats were used for pharmacokinetics after intravenous (2 or 10 mg/kg) administration of panasenoside, six rats for each dose. Thirty mice were randomly divided into six groups (five mice for each group, one group for each time point) and received 20 mg/kg of panasenoside by intraperitoneal administration. Calibration plots were in the range of 2–2000 ng/mL for panasenoside in rat plasma and 2–3000 ng/mL in mouse tissues. The relative standard deviation (RSD) of inter-day and intra-day precision was less than 14%. The accuracy was between 89.6% and 110.0%. The AUC(0–t) was 160.8 ± 13.0 and 404.9 ± 78.0 ng/mL*h, and t1/2 of 3.2 ± 1.2 and 4.6 ± 1.7 h, CL (clearance) of 10.0 ± 2.0, and 21.4 ± 2.0 L/h/kg after intravenous administration 2 mg/kg and 10 mg/kg of panasenoside, respectively. The tissue distribution results indicated that the panasenoside diffuses rapidly and widely into major organs. The level of panasenoside was highest in mouse liver, followed by kidney, lung, and spleen. The overwhelming accumulation in liver indicated that liver was responsible for the extensive metabolism.

Abstract

We developed an ultra-performance liquid chromatography tandem mass spectrometry (UPLC–MS/MS) method for quantification of panasenoside pharmacokinetics in rat plasma and tissue distribution in mouse. Twelve male Sprague-Dawley rats were used for pharmacokinetics after intravenous (2 or 10 mg/kg) administration of panasenoside, six rats for each dose. Thirty mice were randomly divided into six groups (five mice for each group, one group for each time point) and received 20 mg/kg of panasenoside by intraperitoneal administration. Calibration plots were in the range of 2–2000 ng/mL for panasenoside in rat plasma and 2–3000 ng/mL in mouse tissues. The relative standard deviation (RSD) of inter-day and intra-day precision was less than 14%. The accuracy was between 89.6% and 110.0%. The AUC(0–t) was 160.8 ± 13.0 and 404.9 ± 78.0 ng/mL*h, and t1/2 of 3.2 ± 1.2 and 4.6 ± 1.7 h, CL (clearance) of 10.0 ± 2.0, and 21.4 ± 2.0 L/h/kg after intravenous administration 2 mg/kg and 10 mg/kg of panasenoside, respectively. The tissue distribution results indicated that the panasenoside diffuses rapidly and widely into major organs. The level of panasenoside was highest in mouse liver, followed by kidney, lung, and spleen. The overwhelming accumulation in liver indicated that liver was responsible for the extensive metabolism.

Introduction

Radix Ginseng has a long history in Asia as a precious traditional medicine for prevention and treatment of a wide range of diseases since ancient times [1]. The major active ingredients of Radix Ginseng are ginsenosides that consist of a series of derivatives of triterpene dammarane [2]. Recently, studies indicate that multiple components of ginsenosides such as saponins, flavonoid, and polyacetylenes are the active compounds in Radix Ginseng [3], and their pharmacological activities contribute to antioxidizing, antibacterial, neuroprotective, antitumor, hypotensive, sedative, analgesic, and anti-stress effects [4, 5]. Panasenoside is one of the major flavonoids in the Radix Ginseng.

Though Radix Ginseng has been considered as an herbal therapeutic for centuries in Asia, people have never stopped questioning its treatment effects. This is largely a problem of traditional Asian medical system which seldom presents the mechanism or pharmacological evidence in an intuitive manner recognized by modern biology, which calls for accurate quantitation of the active ingredients of the plant. Therefore, developing a precise bioanalytical method for panasenoside is in urgent need.

Despite the mere report of determining panasenoside in Folium Ginseng and Radix Ginseng extracts [4], Qian et al. developed a rapid pressurized liquid extraction (PLE) and high-performance liquid chromatography coupled with diode array detection and mass spectrometry (HPLC–DAD–MS) method for the simultaneous determination of one flavonoid (panasenoside), nine saponins (ginsenoside Rg1, Re, Rf, Rg2, Rb1, Rc, Rb2, Rb3, and Rd), and two polyacetylenes (panaxydol and panaxynol) in Folium Ginseng and Radix Ginseng, the Prevail C18 rocket column (33 mm × 7 mm, 3.0 μm) and gradient elution were used during the analysis, the total run time needed 30 min, the limit of detection (LOD) and limit of quantification (LOQ) of panasenoside were 0.3 and 0.8 μg/mL [4].

There is no effective bioanalytical method available to quantify panasenoside in biological samples to date. Compared to liquid chromatography tandem mass spectrometry (LC–MS/MS), ultra-performance liquid chromatography (UPLC)–MS/MS is more sensitive and faster, offering significant advantages in the investigation of pharmacokinetics of chemical drugs [6, 7]. In our study, we developed a sensitive UPLC–MS/MS method for quantification of panasenoside in rat plasma and mouse tissues (heart, liver, spleen, lung, kidney, and brain), which only needs 4 min for each sample, and then further applied the method to the pharmacokinetic analysis after intravenous administration in rat plasma and tissue distribution in mouse.

Experimental

Chemicals

Panasenoside (purity >98%, Figure 1a) and naringin (IS (internal standard), purity >98%, Figure 1b) were obtained from Chengdu Mansite Pharmaceutical Co. Ltd. (Chengdu, China). Chromatography grade methanol, acetonitrile, and formic acid were obtained from Merck Company (Darmstadt, Germany). Ultrapure water (resistance >18 MΩ) was prepared by Milli-Q purification system (Bedford, USA).

Figure 1.
Figure 1.

Chemical structure of panasenoside (A) and naringin (IS, B)

Citation: Acta Chromatographica Acta Chromatographica 31, 2; 10.1556/1326.2018.00415

Instrumentation and Conditions

XEVO TQS-micro triple quadrupole mass spectrometer and ACQUITY I-Class UPLC, equipped with electrospray ionization (ESI) interface, were from Waters Corp. (Milford, MA, USA). Masslynx 4.1 software (Milford, MA, USA) was used for instrument control and data acquisition.

Panasenoside and IS were chromatographic separation achieved on a UPLC BEH C18 column (2.1 mm × 50 mm, 1.7 μm). The mobile phase consisted of 0.1% formic acid and acetonitrile, the flow rate was set at 0.4 mL/min, and column temperature was set at 40 °C. The gradient elution condition was as follows: 0–0.2 min, acetonitrile 10%; 0.2–1.5 min, acetonitrile 10%–80%; 1.5–2.0 min, acetonitrile 80%; 2.0–2.5 min, acetonitrile 80%–10%; and 2.5–3.5 min, acetonitrile 10%.

The mass parameters were listed as follows: capillary voltage of 2.0 kV, desolvation temperature of 400 °C, desolvation gas (nitrogen) of 800 L/h, and cone gas of 50 L/h. MRM modes of m/z 609.2 → 284.1 for panasenoside and m/z 579.2 → 271.1 for IS were used for quantitative analysis in negative mode (Figure 2).

Figure 2.
Figure 2.

Mass spectrum of panasenoside (A) and naringin (IS, B)

Citation: Acta Chromatographica Acta Chromatographica 31, 2; 10.1556/1326.2018.00415

Calibration Standards

The stock solutions of panasenoside (1.0 mg/mL) were prepared in methanol. The stock solutions of IS (0.5 mg/mL) were prepared in methanol. The 0.5 μg/mL IS working solution was prepared from the stock solution by dilution with methanol. The stock solutions and working solution were stored at 4 °C.

Panasenoside calibration standards were prepared by spiking working solutions of incremental concentration into blank rat plasma. Calibration plots were offset to range between 2 and 2000 ng/mL for panasenoside in rat plasma (2, 6, 20, 100, 200, 400, 800, 1500, and 2000 ng/mL) and between 2 and 3000 ng/mL in mouse tissue (2, 10, 50, 200, 500, 1000, 2000, and 3000 ng/mL), each by adding 5 μL of the appropriate working solution to 50 μL of blank rat plasma or 50 mg of mouse tissue, and then mixed by brief vortexing. Quality-control (QC) samples were prepared in three concentrations of rat plasma (3, 250, and 1800 ng/mL) or mouse liver (3, 400, and 2500 ng/mL). The proteins of calibration standards and QC samples were precipitated by methanol before UPLC–MS/MS analysis.

Sample Preparation

The 5 μL IS working solution (0.5 μg/mL) was added to 50 μL plasma sample in a 1.5 mL centrifuge tube, and 150 μL methanol was added, then vortex-mixed for 1.0 min, and centrifuged at 14,900 g for 10 min; 2 μL of the supernatant was injected into the UPLC–MS/MS system.

The mouse tissues (heart, liver, spleen, lung, kidney, and brain) were respectively weighed accurately 50 mg and placed in 1.5 mL centrifuge tubes, and then filled with 200 μL methanol and 5 μL IS working solution (0.5 μg/mL). The mixtures were stored at −80 °C for 10 min and then grinded for 3 min by SCIENTZ-48 Tissue Grinder (64 Hz and 1800 r/s). The tubes were vortex-mixed for 1.0 min and centrifuged at 14,900 g for 10 min, and 2 μL of the supernatant was injected into the UPLC–MS/MS system.

Method Validation

Method validation was conducted according to the guidelines set by the European Medicines Agency (EMA). Validation runs were conducted on three consecutive days, with each run consisted of six replicates of QC samples and one set of calibration standards [810].

The selectivity of the method was evaluated by analyzing six lots of different sources of blank rat plasma or mouse liver, blank plasma or mouse liver spiked with panasenoside and IS, and a rat plasma sample or a mouse liver sample.

Calibration curves were obtained by analyzing spiked calibration samples on three separate days. Peak area ratios of panasenoside-to-IS were plotted against panasenoside concentrations. Standard curves were well fitted to the equations by linear regression, with a weighting factor of the reciprocal of the concentration (1/x) in the concentration range of 2–2000 ng/mL for rat plasma and 2–3000 ng/mL for mouse tissues. The lower limit of quantitation (LLOQ) was defined as the lowest concentration on the calibration curves.

To evaluate the matrix effect, blank rat plasma was extracted and then spiked with the analyte at 3, 250, and 1800 ng/mL (n = 6), and blank mouse tissues (heart, liver, spleen, lung, kidney, and brain) were extracted and then spiked with the analyte at 3, 400, and 2500 ng/mL. The corresponding peak areas were then compared to those of neat standard solutions at equivalent concentrations, and this peak area ratio is defined as the matrix effect. The matrix effect of the IS was evaluated at a concentration of 50 ng/mL in the similar manner.

Accuracy and precision were evaluated by the determination of QC samples at three concentration levels (3, 250, and 1800 ng/mL for rat plasma; 3, 400, and 2500 ng/mL for mouse tissue) in six replicates over three validation. The precision is expressed by relative standard deviation (RSD).

The recovery of panasenoside was evaluated by comparing the peak area of extracted QC samples with those of reference QC solutions reconstituted in blank plasma or blank mouse tissue extracts (n = 6). The recovery of the IS was determined in the same way [11, 12].

Stability of panasenoside in rat plasma and mouse liver was evaluated by analyzing three replicates of plasma samples (3, 250, and 1800 ng/mL) and liver sample (3, 400, and 2500 ng/mL) that are exposed to different conditions. These results were compared with that of freshly prepared plasma or liver samples. Short-term stability was determined after the exposure of the spiked samples to room temperature for 2 h and the ready-to-inject samples (after protein precipitation) in the HPLC autosampler at room temperature for 12 h. Freeze–thaw stability was evaluated after three complete freeze–thaw cycles (−20 to 25 °C) on consecutive days. Long-term stability was assessed after storage of the standard spiked plasma samples at −20 °C for 20 days. The stability of the IS (50 ng/mL) was also evaluated with the similar method [13, 14].

Pharmacokinetic Study

All twelve male Sprague-Dawley rats (200–220 g) were obtained from the Laboratory Animal Center of Wenzhou Medical University. Diet was prohibited for 12 h before the experiment while water was freely available. Blood samples (0.2 mL) were collected from the tail vein into heparinized 1.5 mL centrifuge tubes at 0.0333, 0.25, 0.5, 1, 2, 3, 4, 6, and 8 h after intravenous (2 or 10 mg/kg) administration of panasenoside, six rats for each dose, and then centrifuged at 3000 g for 10 min. The freshly obtained plasma was stored at −20 °C until analysis. Plasma panasenoside concentration versus time was analyzed by version 2.0 DAS (Drug and Statistics) software (China Pharmaceutical University).

Tissue Distribution Study

Thirty mice were randomly divided into six groups (five mice for each group, one group for each time point) and received 20 mg/kg of panasenoside by intraperitoneal administration. The mice were euthanized by decapitation at 0 (blank group), 0.25, 0.5, 2, 4, and 6 h after given panasenoside. Tissues were removed and washed with saline then stored at −20 °C.

Results and Discussion

Method Development

In comparison with conventional analytical techniques, UPLC–MS/MS has been proven to improve sensitivity, selectivity, and specificity in determination of the active compound of herbal drug in biological samples. Consequently, we established a UPLC–MS/MS method for the determination of panasenoside in rat plasma and mouse tissue, and then successfully applied the method to the pharmacokinetic study in rats and tissue distribution study in mice.

The feasibility of ESI in negative and positive ion modes of detection was evaluated [1517], and ESI with negative ion detection resulted in a better signal-to-noise ratio for both panasenoside and IS.

The mobile phase was also optimized for UPLC–MS/MS. We explored the mobile phase with methanol, acetonitrile, water, 0.1% formic acid, and 0.1% ammonia in combinations and concluded with acetonitrile–0.1% formic acid to be the optimal choice as this combination provided relatively clean chromatographic peaks and acceptable sensitivity. The gradient elution mode was chosen in our work for its thorough cleaning of the impurity in the column and the protection of the chromatographic system [1821].

UPLC–MS/MS analysis requires a rapid, simple, and convenient sample treatment method with acceptable recovery and matrix effect [2226]. We tried plasma (50 μL) with acetonitrile, methanol, ethyl acetate, and ether in our study. The result indicated that methanol has the highest extraction efficiency with acceptable matrix effect, and thus, methanol was used in protein precipitation for plasma and tissues in this work.

We further investigated the performance of naringin as IS. As naringin and panasenoside exhibited similar chromatographic retentions and both were suitable for analysis in the negative ESI interface, naringin was used as IS in our study.

Selectivity and Matrix Effect

Figure 3 showed typical chromatograms of a blank plasma sample, a blank plasma sample spiked with panasenoside and IS, and a plasma sample from a rat after intravenous administration of panasenoside. Figure 4 showed typical chromatograms of a blank mouse liver, a blank mouse liver sample spiked with panasenoside and IS, and a mouse liver sample after intraperitoneal administration of panasenoside in mouse. There were no interfering endogenous substances observed at the retention time of the panasenoside and IS.

Figure 3.
Figure 3.

Representative UPLC–MS/MS chromatograms of panasenoside and naringin (IS) in rat plasma. A, blank plasma; B, blank plasma spiked with panasenoside (20 ng/mL) and IS (50 ng/mL); C, a rat plasma sample after intravenous administration of single dosage 2 mg/kg panasenoside

Citation: Acta Chromatographica Acta Chromatographica 31, 2; 10.1556/1326.2018.00415

Figure 4.
Figure 4.

Representative UPLC–MS/MS chromatograms of panasenoside and naringin (IS) in mouse liver. A, blank mouse liver; B, blank mouse liver spiked with panasenoside (20 ng/mL) and IS (50 ng/mL); C, a mouse liver sample after intraperitoneal administration of 20 mg/kg panasenoside in mouse

Citation: Acta Chromatographica Acta Chromatographica 31, 2; 10.1556/1326.2018.00415

The matrix effect of panasenoside at concentrations of 3, 250, and 1800 ng/mL in rat plasma was measured to be between 91.7% and 94.5% (n = 6) and at 3, 400, and 2500 ng/mL in mouse tissues was measured to be between 85.1% and 98.8% (n = 6) (Table 1). The matrix effect of IS (50 ng/mL) was measured to be 95.6% (n = 6) in rat plasma and 90.4% (n = 6) in mouse liver. The result of matrix effect from plasma and mouse tissues was acceptable.

Table 1.

Precision, accuracy, matrix effect, and recovery for panasenoside of QC sample in rat plasma and mouse liver (n = 6)

Matrix Concentration (ng/mL) Precision (CV%) Accuracy (%) Matrix effect Recovery
Intra-day Inter-day Intra-day Inter-day
Plasma 3 9.6 11.4 104.2 94.0 91.7 86.7
250 6.7 7.3 98.2 95.6 94.5 94.6
1800 5.6 4.6 96.3 102.0 92.3 84.2
3 10.6 9.4 100.0 95.2 86.0 84.3
Liver 400 6.2 8.8 105.1 103.7 85.1 88.2
2500 8.0 4.0 98.5 94.6 87.8 86.4
3 9.1 9.5 107.5 97.4 95.8 95.6
Heart 400 7.9 3.7 101.0 106.1 95.3 99.4
2500 5.8 4.4 98.7 95.2 96.5 89.4
3 13.4 10.1 91.3 102.9 98.8 98.6
Lung 400 6.2 6.0 107.2 96.0 94.3 92.3
2500 6.8 7.7 99.1 94.5 89.9 94.6
3 7.7 12.2 91.5 110.9 85.8 94.7
Spleen 400 9.9 5.4 101.5 104.4 92.3 92.9
2500 2.7 4.4 105.0 103.6 95.6 93.4
3 12.1 7.2 92.9 89.6 86.6 91.2
Kidney 400 9.6 5.7 104.6 97.4 85.8 89.6
2500 3.5 3.1 97.0 99.9 86.6 94.5
3 8.6 11.9 102.2 94.8 87.5 88.7
Brain 400 3.7 4.4 110.0 93.1 88.9 97.1
2500 3.0 5.3 105.0 104.6 87.3 95.5

Calibration Curve and Sensitivity

Linear regressions were fitted over the 2–2000 ng/mL for panasenoside in rat plasma. The calibration curve was as follows: y = 0.005037x − 0.007529, r = 0.9985, where y represents the ratios of panasenoside peak area to that of IS and x represents the plasma concentration. The LLOQ of panasenoside in plasma was 2 ng/mL. The precision and accuracy were 13.5% and 88.5% at LLOQ, respectively.

Linear regressions were fitted over the range of 2–3000 ng/mL for panasenoside in mouse tissue. The calibration curve was y = 0.012663x − 0.004953, r = 0.9978 for heart; y = 0.005746x − 0.001557, r = 0.9978 for liver; y = 0.005191x − 0.003484, r = 0.9957 for spleen; y = 0.010151x + 0.005098, r = 0.9989 for lung; y = 0.002603x − 0.001299, r = 0.9966 for kidney; and y = 0.005523x − 0.004665, r = 0.9983 for brain. The LLOQ of panasenoside in tissues was 2 ng/mL. The precision at LLOQ was between 8.2% and 17.5%, and accuracy was between 83.6% and 117.4%, respectively.

Precision, accuracy and recovery

The inter-day and intra-day precision at each QC level was 14% or less and 13% or less, respectively, while the accuracy was between 89.6% and 110.9% (Table 1). Mean recoveries ranged from 84.2% to 94.6% in rat plasma and from 84.3% to 99.4% in mouse tissues. The recovery of the IS (50 ng/mL) was 85.8% in rat plasma and 82.7% in mouse liver.

Stability of Rat Plasma and Mouse Liver

The panasenoside in rat plasma and mouse liver was stable under short-term room temperature, freeze–thaw cycling, and long-term (20 days) storage conditions, as the bias in concentrations was within ±12% of their nominal values, and precision was less than 12% (Table 2).

Table 2.

Stability of panasenoside and IS in rat plasma and mouse liver under various storage conditions (n = 3)

Sample Concentration (ng/mL) Ambient, 2 h −20 °C, 20 days 3 Freeze–thaw Autosampler ambient, 12 h
Precision (%) Accuracy (%) Precision (%) Accuracy (%) Precision (%) Accuracy (%) Precision (%) Accuracy (%)
Plasma 3 8.0 97.2 9.3 104.2 10.7 98.3 3.8 107.2
250 8.4 107.8 6.3 94.0 8.0 113.0 3.4 102.0
1800 1.3 100.8 3.4 96.8 8.0 87.9 4.2 96.1
50 (IS) 2.8 99.3 10.3 103.8 3.6 95.1 2.3 99.8
Liver 3 4.1 95.6 7.7 110.2 10.9 110.2 5.7 100.7
400 7.8 107.1 6.2 105.5 9.0 108.2 4.1 103.0
2500 9.3 93.2 6.0 93.9 6.8 93.1 3.8 97.5
50 (IS) 5.2 102.5 8.4 92.7 5.0 93.7 2.3 102.5

Pharmacokinetic Study

The main pharmacokinetic parameters were listed in Table 3, based on non-compartment model analysis. The plasma concentration–time curves after intravenous (2 and 10 mg/kg) administration of panasenoside in rats were shown in Figure 5. The AUC(0–t) was 160.8 ± 13.0 and 404.9 ± 78.0 ng/mL*h; t1/2, 3.2 ± 1.2 and 4.6 ± 1.7 h; and CL, 10.0 ± 2.0 and 21.4 ± 2.0 L/h/kg after intravenous administration of 2 mg/kg and 10 mg/kg of panasenoside, respectively.

Table 3.

Main pharmacokinetic parameters after intravenous administration of panasenoside in rats (n = 6)

Parameters Unit 2 mg/kg 10 mg/kg
AUC(0–t) ng/mL*h 160.8 ± 13.0 404.9 ± 78.0
AUC(0–∞) ng/mL*h 206.2 ± 41.5 470.8 ± 43.8
MRT(0–t) h 1.8 ± 0.1 1.4 ± 0.3
MRT(0–∞) h 3.7 ± 1.3 3.4 ± 1.6
t 1/2 h 3.2 ± 1.2 4.6 ± 1.7
CL (clearance) L/h/kg 10.0 ± 2.0 21.4 ± 2.0
V L/kg 44.4 ± 8.0 143.4 ± 61.7
C max ng/mL 170.0 ± 49.2 961.7 ± 409.8
Figure 5.
Figure 5.

Mean plasma concentration time profile after intravenous (2 and 10 mg/kg) administration of panasenoside in rats

Citation: Acta Chromatographica Acta Chromatographica 31, 2; 10.1556/1326.2018.00415

We have done pre-experimental oral administration of 10 mg/kg panasenoside, but the panasenoside in rat plasma is not detected, indicating that the oral absorption is poor and there is low bioavailability. The pharmacokinetics of panasenoside metabolism right after intravenous administration and the pharmacokinetic profile of panasenoside in rats were characterized for the first time, which contributed to a deeper understanding of the pharmacological features of panasenoside.

Tissue Distribution

The concentration–time curves of panasenoside in mouse plasma, heart, liver, spleen, lung, kidney, and brain after intraperitoneal administration of 15 mg/kg were shown in Figure 6.

Figure 6.
Figure 6.

Mean concentration of panasenoside in tissues at different time (0.25, 0.5, 2, 4, and 6 h) after intraperitoneal administration of 20 mg/kg panasenoside in mouse

Citation: Acta Chromatographica Acta Chromatographica 31, 2; 10.1556/1326.2018.00415

The tissue distribution results indicated that the panasenoside diffuses rapidly and widely into major organs. The level of panasenoside was highest in mouse liver, followed by kidney, lung, and spleen. The level of panasenoside in brain remains considerably low, which indicated that blood–brain barrier may effectively prevent panasenoside from moving across. The overwhelming accumulation in liver indicated that liver was responsible for the extensive metabolism of panasenoside.

Conclusion

In this study, we presented a simple and sensitive UPLC–MS/MS method for the quantitation of panasenoside in 50 μL of rat plasma or 50 mg of mouse tissue with an LLOQ of 2 ng/mL. We further successfully applied this UPLC–MS/MS method to pharmacokinetic study of panasenoside in rat and tissue distribution in mouse. The level of panasenoside was highest in liver, followed by kidney, lung, and spleen. The considerably low level of panasenoside in brain indicates that panasenoside may not cross through blood–brain barrier effectively.

References

  • 1.

    Mi, J.; Zhang, M.; Zhang, H.; Wang, Y.; Wu, S.; Hu, P. J. Sep. Sci. 2013, 36, 593601.

  • 2.

    Qiu, Y.; Lu, X.; Pang, T.; Ma, C.; Li, X.; Xu, G. J. Sep. Sci. 2008, 31, 34513457.

  • 3.

    Wu, H.; Hoiby, N.; Yang, L.; Givskov, M.; Song, Z. J. Tradit. Chin. Med. 2014, 34, 227233.

  • 4.

    Qian, Z. M.; Lu, J.; Gao, Q. P.; Li, S. P. J. Chromatogr. A 2009, 1216, 38253830.

  • 5.

    Lin, W. N.; Lu, H. Y.; Lee, M. S.; Yang, S. Y.; Chen, H. J.; Chang, Y. S.; Chang, W. T. Am. J. Chin. Med. 2010, 38, 205218.

  • 6.

    Liu, M.; Su, X.; Li, G.; Zhao, G.; Zhao, L. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. 2015, 1006, 815.

  • 7.

    Ai, Y.; Wu, Y.; Wang, F.; Ma, W.; Bian, Q.; Lee, D. Y.; Dai, R. J. Mass Spectrom. 2015, 50, 567577.

  • 8.

    Van Toi, P.; Pouplin, T.; Tho, N. D. K.; Phuong, P. N.; Chau, T. T. H.; Thuong Thuong, N. T.; Heemskerk, D.; Hien, T. T.; Thwaites, G. E. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. 2017, 1061–1062, 256262.

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

    Wijma, R. A.; Bahmany, S.; Wilms, E. B.; van Gelder, T.; Mouton, J. W.; Koch, B. C. P. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. 2017, 1061–1062, 263269.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 10.

    Wang, J.; Zhao, T.; Kong, J.; Peng, H.; Lv, P.; Li, J.; Cao, X.; Zhang, S. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. 2017, 1061–1062, 270274.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 11.

    Williams, J. S.; Donahue, S. H.; Gao, H.; Brummel, C. L. Bioanalysis 2012, 4, 10251037.

  • 12.

    Cai, H. L.; Wang, F.; Li, H. D.; Peng, W. X.; Zhu, R. H.; Deng, Y.; Jiang, P.; Yan, M.; Hu, S. M.; Lei, S. Y.; Chen, C. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. 2014, 947–948, 156163.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 13.

    Du, J.; Ma, Z.; Zhang, Y.; Wang, T.; Chen, X.; Zhong, D. Bioanalysis 2014, 6, 23432356.

  • 14.

    Liu, J.; Wang, L.; Hu, W.; Chen, X.; Zhong, D. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. 2014, 971, 3542.

  • 15.

    Ma, J.; Zhang, Q.; Wang, X. Xenobiotica 2014, 44, 849854.

  • 16.

    Wen, C.; Cai, J.; Lin, C.; Ma, J.; Wang, X. Xenobiotica 2014, 44, 743748.

  • 17.

    Wang, X.; Pan, Y.; Jianshe, M.; Shi, S.; Zheng, X.; Xiang, Z. Xenobiotica 2014, 44, 555561.

  • 18.

    Wang, S. H.; Wu, H. Y.; Huang, X. L.; Geng, P. W.; Wen, C. C.; Ma, J. S.; Zhou, Y. F.; Wang, X. Q. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. 2015, 990, 118124.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 19.

    Ma, J. S.; Wang, S. H.; Zhang, M. L.; Zhang, Q. W.; Zhou, Y. F.; Lin, C. L.; Lin, G. Y.; Wang, X. Q. Biomed. Chromatogr. 2015, 29, 12031212.

  • 20.

    Ma, J. S.; Wang, S. H.; Huang, X. L.; Geng, P. W.; Wen, C. C.; Zhou, Y. F.; Yu, L. S.; Wang, X. Q. J. Pharm. Biomed. Anal. 2015, 111, 131137.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 21.

    Zhang, Q.; Wen, C.; Xiang, Z.; Ma, J.; Wang, X. J. Pharm. Biomed. Anal. 2014, 90, 134138.

  • 22.

    Ye, W.; Chen, R.; Sun, W.; Huang, C.; Lin, X.; Dong, Y.; Wen, C.; Wang, X. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. 2017, 1060, 144149.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 23.

    Wang, X. Q.; Wang, Q. Q.; Hu, Q. P.; Zhao, Y.; Chen, W. H.; Wen, C. C.; Wu, B. Lat. Am. J Pharm. 2017, 36, 14031407.

  • 24.

    Wang, S. H.; Dong, Y. W.; Su, K.; Zhang, J.; Wang, L. Y.; Han, A. Y.; Wen, C. C.; Wang, X. Q.; He, Y. Pharm. Biol. 2017, 55, 12231227.

  • 25.

    Jiang, Y.; Zhou, H.; Su, K.; Xu, M. Z.; Chen, B. B.; Chen, D. X.; Wen, C. C.; Wu, B.; Luo, X. H.; Wang, X. Q. Lat. Am. J. Pharm. 2016, 35, 22612266.

    • Search Google Scholar
    • Export Citation
  • 26.

    Lin, G. Y.; Ma, J. S.; Lin, C. L.; Hu, L. F.; Wang, X. Q. J. Liq. Chromatogr. Relat. Technol. 2014, 37, 25062514.

  • 1.

    Mi, J.; Zhang, M.; Zhang, H.; Wang, Y.; Wu, S.; Hu, P. J. Sep. Sci. 2013, 36, 593601.

  • 2.

    Qiu, Y.; Lu, X.; Pang, T.; Ma, C.; Li, X.; Xu, G. J. Sep. Sci. 2008, 31, 34513457.

  • 3.

    Wu, H.; Hoiby, N.; Yang, L.; Givskov, M.; Song, Z. J. Tradit. Chin. Med. 2014, 34, 227233.

  • 4.

    Qian, Z. M.; Lu, J.; Gao, Q. P.; Li, S. P. J. Chromatogr. A 2009, 1216, 38253830.

  • 5.

    Lin, W. N.; Lu, H. Y.; Lee, M. S.; Yang, S. Y.; Chen, H. J.; Chang, Y. S.; Chang, W. T. Am. J. Chin. Med. 2010, 38, 205218.

  • 6.

    Liu, M.; Su, X.; Li, G.; Zhao, G.; Zhao, L. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. 2015, 1006, 815.

  • 7.

    Ai, Y.; Wu, Y.; Wang, F.; Ma, W.; Bian, Q.; Lee, D. Y.; Dai, R. J. Mass Spectrom. 2015, 50, 567577.

  • 8.

    Van Toi, P.; Pouplin, T.; Tho, N. D. K.; Phuong, P. N.; Chau, T. T. H.; Thuong Thuong, N. T.; Heemskerk, D.; Hien, T. T.; Thwaites, G. E. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. 2017, 1061–1062, 256262.

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

    Wijma, R. A.; Bahmany, S.; Wilms, E. B.; van Gelder, T.; Mouton, J. W.; Koch, B. C. P. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. 2017, 1061–1062, 263269.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 10.

    Wang, J.; Zhao, T.; Kong, J.; Peng, H.; Lv, P.; Li, J.; Cao, X.; Zhang, S. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. 2017, 1061–1062, 270274.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 11.

    Williams, J. S.; Donahue, S. H.; Gao, H.; Brummel, C. L. Bioanalysis 2012, 4, 10251037.

  • 12.

    Cai, H. L.; Wang, F.; Li, H. D.; Peng, W. X.; Zhu, R. H.; Deng, Y.; Jiang, P.; Yan, M.; Hu, S. M.; Lei, S. Y.; Chen, C. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. 2014, 947–948, 156163.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 13.

    Du, J.; Ma, Z.; Zhang, Y.; Wang, T.; Chen, X.; Zhong, D. Bioanalysis 2014, 6, 23432356.

  • 14.

    Liu, J.; Wang, L.; Hu, W.; Chen, X.; Zhong, D. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. 2014, 971, 3542.

  • 15.

    Ma, J.; Zhang, Q.; Wang, X. Xenobiotica 2014, 44, 849854.

  • 16.

    Wen, C.; Cai, J.; Lin, C.; Ma, J.; Wang, X. Xenobiotica 2014, 44, 743748.

  • 17.

    Wang, X.; Pan, Y.; Jianshe, M.; Shi, S.; Zheng, X.; Xiang, Z. Xenobiotica 2014, 44, 555561.

  • 18.

    Wang, S. H.; Wu, H. Y.; Huang, X. L.; Geng, P. W.; Wen, C. C.; Ma, J. S.; Zhou, Y. F.; Wang, X. Q. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. 2015, 990, 118124.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 19.

    Ma, J. S.; Wang, S. H.; Zhang, M. L.; Zhang, Q. W.; Zhou, Y. F.; Lin, C. L.; Lin, G. Y.; Wang, X. Q. Biomed. Chromatogr. 2015, 29, 12031212.

  • 20.

    Ma, J. S.; Wang, S. H.; Huang, X. L.; Geng, P. W.; Wen, C. C.; Zhou, Y. F.; Yu, L. S.; Wang, X. Q. J. Pharm. Biomed. Anal. 2015, 111, 131137.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 21.

    Zhang, Q.; Wen, C.; Xiang, Z.; Ma, J.; Wang, X. J. Pharm. Biomed. Anal. 2014, 90, 134138.

  • 22.

    Ye, W.; Chen, R.; Sun, W.; Huang, C.; Lin, X.; Dong, Y.; Wen, C.; Wang, X. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. 2017, 1060, 144149.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 23.

    Wang, X. Q.; Wang, Q. Q.; Hu, Q. P.; Zhao, Y.; Chen, W. H.; Wen, C. C.; Wu, B. Lat. Am. J Pharm. 2017, 36, 14031407.

  • 24.

    Wang, S. H.; Dong, Y. W.; Su, K.; Zhang, J.; Wang, L. Y.; Han, A. Y.; Wen, C. C.; Wang, X. Q.; He, Y. Pharm. Biol. 2017, 55, 12231227.

  • 25.

    Jiang, Y.; Zhou, H.; Su, K.; Xu, M. Z.; Chen, B. B.; Chen, D. X.; Wen, C. C.; Wu, B.; Luo, X. H.; Wang, X. Q. Lat. Am. J. Pharm. 2016, 35, 22612266.

    • Search Google Scholar
    • Export Citation
  • 26.

    Lin, G. Y.; Ma, J. S.; Lin, C. L.; Hu, L. F.; Wang, X. Q. J. Liq. Chromatogr. Relat. Technol. 2014, 37, 25062514.

  • Collapse
  • Expand

Senior editors

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

Editors(s)

  • Danica Agbaba, University of Belgrade, Belgrade, Serbia
  • 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

Indexing and Abstracting Services:

  • Science Citation Index
  • Sci Search
  • Research Alert
  • Chemistry Citation Index and Current Content/Physical
  • Chemical and Earth Sciences
  • SCOPUS
  • GoogleScholar
  • Index Copernicus
  • CABI
  • CABELLS Journalytics

2023  
Web of Science  
Journal Impact Factor 1.7
Rank by Impact Factor Q3 (Chemistry, Analytical)
Journal Citation Indicator 0.43
Scopus  
CiteScore 4.0
CiteScore rank Q2 (General Chemistry)
SNIP 0.706
Scimago  
SJR index 0.344
SJR Q rank Q3

Acta Chromatographica
Publication Model Online only
Gold Open Access
Submission Fee none
Article Processing Charge 400 EUR/article
Effective from  1st Feb 2025:
700 EUR/article
Regional discounts on country of the funding agency World Bank Lower-middle-income economies: 50%
World Bank Low-income economies: 100%
Further Discounts Editorial Board / Advisory Board members: 50%
Corresponding authors, affiliated to an EISZ member institution subscribing to the journal package of Akadémiai Kiadó: 100%
Subscription Information Gold Open Access
Purchase per Title  

Acta Chromatographica
Language English
Size A4
Year of
Foundation
1988
Volumes
per Year
1
Issues
per Year
4
Founder Institute of Chemistry, University of Silesia
Founder's
Address
PL-40-007 Katowice, Poland, Bankowa 12
Publisher Akadémiai Kiadó
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 2083-5736 (Online)

Monthly Content Usage

Abstract Views Full Text Views PDF Downloads
Jun 2024 0 32 5
Jul 2024 0 59 4
Aug 2024 0 73 10
Sep 2024 0 56 10
Oct 2024 0 204 4
Nov 2024 0 210 5
Dec 2024 0 126 2