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. 2020 Sep 30:2020:7518479.
doi: 10.1155/2020/7518479. eCollection 2020.

Differential Analysis of Serum Principal Components Treated with Compound Sophora Decoction and Related Compounds Based on High-Resolution Mass Spectrometry (HRMS)

Wanjin Sun  1   2 , Junjie Zhang  3   4 , Conghui Zhou  1   2 , Bin Yan  1   2 , Quan Cai  4 , Hongxia He  4 , Xueyun Duan  1   2 , Heng Fan  4
Affiliations

Differential Analysis of Serum Principal Components Treated with Compound Sophora Decoction and Related Compounds Based on High-Resolution Mass Spectrometry (HRMS)

Wanjin Sun et al. Evid Based Complement Alternat Med. .

Abstract

Objective: To compare the differences in the serum principal components in ulcerative colitis- (UC-) induced rats, treated with compound Sophora decoction, matrine, oxymatrine monomer mixture, and indirubin monomer, and to provide a modern scientific basis for elucidating the clinical efficacy of compound Sophora decoction for the treatment of UC.

Methods: The serum samples of rats from each group were obtained after drug administration, and the serum principal components of each group were analyzed by high-resolution mass spectrometry. Agilent Eclipse XDB C18 chromatographic column (100 mm × 2.1 mm, 3.5 m) was used for separation. The mobile phase was water (A) and methanol (B) (0.1% formic acid) gradient elution, 0-3 min (B: 20%-40%), 3-10 min (B: 40%-54%), 10-25 min (B: 54%), 25-35 min (B: 54%-70%), 35-45 min (B: 70%-80%), 45-50 min (B: 80%), 50-60 min (B: 80%-100%), 70-72 min (B: 100%-20%), and 72-77 min (B: 20%); flow rate, 300 μL/min; column temperature, 40°C; and injection volume, 10 μL. ESI source was selected and scanned in the positive and negative ion modes. The scanning range was 70-1500 m/z; ion-source gas 1 (GS1): 55 psi; ion-source gas 2 (GS2): 60 psi; CUR: 30 psi; ion-source temperature (TEM): 550°C; ion-source voltage (ISVF) : 5500 V/-4500 V; decluster voltage (DP): 100 V; collision energy (CE): 35 V/-35 V; collision energy gain (CES) : 15 V/-15 V; and data acquisition mode: IDA. After the data from each group were imported into MarkView 1.3, the molecular weights and retention times of different substances were obtained and qualitatively analyzed by ChemSpider and PeakView 2.0.

Results: In the negative ion mode, 26 differential compounds were identified in the compound Sophora decoction group (FFKST) compared to the model group (M), and 18 differential compounds were identified in the matrine and oxymatrine group (KST) compared to the model group (M). In the positive ion mode, 11 and 7 differential compounds were identified in the compound Sophora decoction group (FFKST) and the matrine and oxymatrine group (KST) compared to the model group (M), respectively. The responses of all compounds in each group were compared with each other. As the different principal component substances in the indirubin group (DYH) displayed little correlation with other groups, the different components in this group were not researched thoroughly.

Conclusion: By comparing the differences in the serum principal components from each administration group, we found that the FFKST group exhibited enhanced synthesis of the serum principal components; however, the compound doses of matrine and oxymatrine monomers did not exhibit the same changes in the serum principal components of UC-induced rats. Finally, the traditional Chinese medicine compound is more advantageous than monomers.

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Conflict of interest statement

The authors declare that there are no conflicts of interest regarding the publication of this paper.

Figures

Figure 1
Figure 1
Pathological changes of colonic mucosa (HE, ×40): (a) normal group; (b) M group; (c) MS group; (d) FFKST group; (e) KST group; (f) DYH group.
Figure 2
Figure 2
Cluster analysis result obtained by MarkView in negative ion mode (results were output by the software MarkView 1.3).
Figure 3
Figure 3
Cluster analysis result obtained by MarkView in positive ion mode (results were output by the software MarkView 1.3).
Figure 4
Figure 4
Superposition diagram of the total ion flow of FFKST and M in the negative ion mode.
Figure 5
Figure 5
Superposition diagram of total ion flow of KST and M in the negative ion mode.
Figure 6
Figure 6
Superposition diagram of total ion flow of FFKST and M in the positive ion mode.
Figure 7
Figure 7
Superposition diagram of total ion flow of KST and M in the positive ion mode.
Figure 8
Figure 8
The response signals of 26 differential compounds in FFKST compared to M in each group (P < 0.01) in the negative ion mode (results were output by the software MarkView 1.3).
Figure 9
Figure 9
The response signals of 18 differential compounds in KST compared to M in each group (P < 0.01) in the negative ion mode (results were output by the software MarkView 1.3).
Figure 10
Figure 10
The response signals of 11 differential compounds in FFKST compared to M in each group (P < 0.01) in the positive ion mode (results were output by the software MarkView 1.3).
Figure 11
Figure 11
The response signals of 71 differential compounds in KST compared to M in each group (P < 0.01) in the positive ion mode (results were output by the software MarkView 1.3).
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