Identification and Analysis of Chemical Constituents and Rat Serum Metabolites in Lycopodium clavatum Using UPLC-Q-TOF/MS Combined with Multiple Data-Processing Approaches

Lycopodium clavatum is a dry whole grass of Lycopodium japonicum Thunb.; it has been extensively used to anti-inflammatory, antioxidant, and antimicrobial actions and inhibits acetylcholinesterase activity. However, it lacks further compounds research of Lycopodium clavatum in vivo and in vitro. In this work, a rapid method was established using the ultra high performance liquid chromatography with quadrupole-time-of-flight mass spectrometry (UPLC-Q-TOF/MS) combined with multiple data-processing approaches for compounds analysis of Lycopodium clavatum in vitro and in vivo. Finally, 30 peaks were characterized in 75% ethanol extract of Lycopodium clavatum and 17 peaks were characterized in rat plasma that including 12 prototype compounds and 5 metabolites. Methylation and demethylation are the main transformation reactions of Lycopodium clavatum in rat serum. This work could be helpful for understanding the complex compounds of Lycopodium clavatum and further analyzing the pharmacological studies of active compounds.


Introduction
Lycopodium clavatum (LC) is a dry whole grass of Lycopodium japonicum Thunb.; it has been widely used to antiinflammatory [1], antioxidant, and antimicrobial actions [2] and inhibits acetylcholinesterase activity [3][4][5], meanwhile, it has antioxidative, antiproliferative, and biochemical effects for HepG2 cells [6]. In recent years, literature reports of LC pay more attention to analyzing component in vitro.
LC mainly contains alkaloids [7] and triterpenoids [8][9][10][11]. Alkaloids are divided into four types with the structural characteristics, including lycopodine, lycodine, fawcettimine, and miscellaneous. Four types of mother nucleus all have the same configuration, so it is inferred that there is a common biological origin and transformation relationship between them [12,13]. So far, there have been few reports on the chemical constituents of LC, and there is almost no research on the blood components in the body. Therefore, it is especially important for the chemical composition of LC in vivo and in vitro. At present, LC-MS is often used to analyze and determine the component of traditional Chinese medicine, especially the technology of UPLC-Q-TOF/MS [14,15]. UPLC-Q-TOF/MS combined with multiple data processing approaches can improve efficiency and obtain abundant information, which can be utilized as a practical model for the study of component [16,17]. The combination of the technology has the advantages of high efficiency, wide molecular mass range, high sensitivity, low error rate, and high reproducibility [18,19]. In this work, a rapid method will be established for the compounds analysis of LC in vitro and in vivo by the ultra high performance liquid chromatography (UPLC) with quadrupole-time-of-flight mass spectrometry combined with multiple data-processing approaches, which can be used to further analyze the chemical composition in vivo and in vitro.

Preparation of Lycopodium clavatum Samples In Vitro.
Lycopodium clavatum were added 10 times and 6 times 75% (v/v) ethanol, respectively, and were reflux extracted twice for 1 h each time. After being extracted, the extract was filtered and condensed to 1 g/mL. The concentrate was diluted to 10mg/mL by water with acetonitrile: 0.1% formic acid=1:1 (v/v) and through 0.22 m filter membranes before analysis.

Animal Experiments.
Male SD rats were acclimatized for 1 week before the experiment and collected blank blood. The suspension solution of Lycopodium clavatum was intragastrical administered at a dose of 10.8 g/kg for 3 days. After the last administration, the rats were collected blood by orbital vein at 15 min, 1 h, 4 h, and 8 h. All samples were centrifuged at 3,000 rpm for 15 min at 4 ∘ C and the plasma supernatant was pipetted.

Preparation of Plasma Samples
In Vivo. For analysis, plasma was consolidated including the different blood collection points and 500 L plasma was added 1 mL acetonitrile for protein precipitation. After vortexed vigorously for 1 min, the samples were centrifuged at 13, 000 rpm for 15 min at 4 ∘ C and pipetted plasma supernatant. 1 mL acetonitrile was added to the residue and the above operation was repeated one time. Two-part supernatants were combined and was evaporated to dried under N 2 at 45 ∘ C. The residue was dissolved with 100 L methanol, vortex-mixed for 1 min before being centrifuged at 13,000 rpm at 4 ∘ C for 15 min and then pipetted plasma supernatant for analysis.

MS
Conditions. An UPLC-Q-TOF/MS (waters, America) instrument is equipped with both positive and negative ESI source for sample analysis. The samples were measured from 50 to 1,000 mass-to-charge ratios (m/z) and the temperature of nitrogen was set to 350 ∘ C. The temperature of dissolvent was set to 80 ∘ C and the gas flow was set to 600 L/h. The capillary voltage was set to 3.0kV in positive ion mode, and it was set to 2.5 kV in negative ion mode.

Data Processing. A rapid analysis of the extract of
Lycopodium clavatum was carried out to obtain the retention time and the exact molecular weight of each component. The possible elemental composition was obtained through the MassLynx V4.1 workstation, and only those formulas with an error less than 10 ppm were accepted. The probable molecular formulas were matched with the relevant literature and databases such as SciFinder and MassBank. Meanwhile, to combine with MS and MS/MS information inferred the compound and its structure.
Raw spectrometric data were processed by MassLynx software (version 4.1, Waters Co., Cicero, America) and converted to a data matrix contain sample name, t-m/z and peak intensity. Data was further processed, including peak matching, peak alignment, and normalization, before multivariate analysis. Multivariate analysis was performed using a combination of principal component analysis (PCA) and the orthogonal projection to least-squared discriminant analysis (OPLS-DA) by SIMCA-P software (version 12.0), and then was further performed using t-test for Microsoft Excel software (version 2010). Metabolites were retained in the model based on a combination of variable importance in projection (VIP) greater than 1.0 and P value of less than 0.05.
MetaboLynx XS version 4.1 (Waters, Milford, America) can be used to find the unknown drug metabolites in vivo. Biotransformation reactions were set according to its different structure and the peak intensity threshold of 40 with tolerance was set at 0.05 Da. The result of possible metabolites and its biotransformation reactions were determined by the relevant literature and MS and MS/MS information. established compounds database by collecting information of literature in ten years [7][8][9][10][11][20][21][22][23][24] and searching web databases including Pubmed, SciFinder, and MassBank. The database includes 121 prototype compounds of Lycopodium clavatum that was shown in Table S1, including name, molecular formula, molecular weight, and structure, to support the results of identification for further analysis in vitro and in vivo.

UHPLC-MS Analysis and Identification of Lycopodium clavatum In
Vitro. Under the above MS and chromatographic conditions, the chromatogram of the base peak ion (BPI), the extract sample of Lycopodium clavatum was shown in Figure 1. According to the chromatogram, the baseline was stable and the chromatographic peaks were well separated, indicating that the various components of Lycopodium clavatum extract could be well separated in the data collection range.
The  [24] it was inferred from acetyllycofawcine. Mass spectrum and proposed fragmentation pathway of acetyllycofawcine were shown in Figure 2. Finally, a total of 30 compounds were identified (characteristic peaks were labeled on the BPI chromatographic), including 21 alkaloids, 7 triterpenoids, and 2 other classes compound. The detailed information of compound name, molecular weight, molecular formula, and characteristic peak was shown in Table 1.

Multivariate Statistical Analysis and Identification of Plasma Sample after Oral Lycopodium clavatum In Vivo.
In order to analyze the compounds of Lycopodium clavatum in plasma, the two groups were compared between the plasma sample of Lycopodium clavatum group and the control group that the chromatogram of BPI was shown in Figure 3, and then multivariate statistical analysis was used to further discover the prototype compounds in vivo.
PCA is a chemometric method that uses the idea of dimensionality reduction to transform multiple indicators into several comprehensive indicators with little information loss. In the PCA score (Figure 4), it could be observed that the plasma samples of drug-administered group and blank group were divided into two discrete groups, indicating that there was a significant difference in the drug-administered group and blank group. In order to further analyze the metabolic differences between the blank group and the drugadministered group in plasma samples, an in-depth analysis of the data (OPLS-DA) is required. According to the OPLS-DA score (Figure 4), it was clearly observed that the two groups plasma samples were divided into 2 discrete groups, which was better than the score of PCA. VIP value reflects the contribution of the variable in the classification. The larger the VIP value, the greater the contribution of the variable to the entire model classification. Generally, VIP value is greater than 1 as the characteristic variable of the metabolic. The value of VIP greater than 1 was screened and further analyzed. Finally, a total of 12 compounds were identified by the data of MS, MS/MS information, and the relevant literature and databases. They were lycojaponicumin C (6), huperzine E (8), des-N-methyl--obscurine (10), -obscurine (11), lycopodine (13), 8 -acetoxy-12 -hydroxy-lycopodine or 8 -acetoxy-11hydroxy-lycopodine or 8 -hydroxy-11 -Acetoxylycopodine (14), lycodoline (16), -lofoline or fawcettiine (17), acetylfawcettiine (20), japonicumin B or lycoclavanin (23), 3R, 21 , 24-trihydroxyserrat-14-en-16-one (24) and lycojaponicuminol C (26). Among them, -obscurine (11) and lycodoline (16) were identified by comparison with the information of the standard, including retention time, MS and MSMS data. Next, the more standard will be purchased and used to further qualitative analysis of the compounds of Lycopodium clavatum.

Metabolites Identified Using MetaboLynx Tool.
After the drug gets into the body, some components exist as the form of prototype, but most of them are structurally modified based on the original drug components, such as methylation and glutathione conjugation. The metabolite is structurally similar to the prototype drug and has characteristic mass spectrometry fragmentation of the prototype drug, so the structure of the metabolite can be inferred by characteristic fragment between the prototype and metabolite. Using MetaboLynx XS to process the data to analyze the plasma samples, most of the potential metabolites were identified. Finally, 5 metabolites were detected from the Lycopodium clavatum. The molecular weight of lycojaponicumin C (6)   is a metabolite of the demethylation of the lycojaponicumin C. Finally, a total of 5 metabolites were identified the same way. M2 is a metabolite of the methylation of the palhinine A, M3 is a metabolite of the methylation of the (15R)-14,15dihydroepilobscurinol, M4 is a metabolite of the methylation of lycodoline, and M5 is a metabolite of the demethylation of -lofoline. The detailed information of prototype, metabolite name, molecular weight, and molecular formula was given in Table 2.

Conclusion
In this work, we demonstrated a systematic and reliable analytical method using UPLC-Q-TOF-MS coupled with multiple data processing approaches for rapidly screening and identifying the chemical constituents of Lycopodium clavatum both in vitro and in vivo. In vitro, 30 peaks were characterized in 75% ethanol extract of Lycopodium clavatum. In vivo, 17 peaks were characterized in rat plasma

Data Availability
The data used to support the findings of this study are included within the article.