Study on antioxidant and antidiabetic components of Cirsium setosum based on molecular networking

3.0 科研~小助 2025-08-27 12 4 5.46MB 8 页 1知币
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Study on antioxidant and antidiabetic components of Cirsium setosum based
on molecular networking
Wenhao Zhou
a,b
, Huixian Chen
a,b
, Yinghan Tian
a,b
, Jiachuan Lei
c
, Jianqing Yu
a,b,*
a
Department of Pharmacy, Zhongnan Hospital of Wuhan University, School of Pharmaceutical Sciences, Wuhan University, Wuhan, 430071, China
b
Key Laboratory of Combinatorial Biosynthesis and Drug Discovery (Wuhan University), Ministry of Education, and Wuhan University School of Pharmaceutical
Sciences, Wuhan, 430071, China
c
Renmin Hospital, Wuhan University, Wuhan, 430060, China
ARTICLE INFO
Keywords:
Cirsium setosum
Molecular networking
Antioxidant
Antidiabetic
Chemical component
ABSTRACT
Cirsium setosum is a kind of medicinal and edible homologous wild vegetable, which is rich in bioactive com-
ponents. To nd these compounds, we rstly divided the total extract of C.setosum into ve parts with different
solvents, and then evaluated their antioxidant and antidiabetic activities. Among them, the ethyl acetate (EA)
extract exhibited the best effects on radical scavenging and
α
-glucosidase inhibition. Furthermore, feature based
molecular networking (FBMN) was created to analyze the chemical components of ve extracts. The components
of EA extract mainly included chlorogenic acid derivatives and avonoid glycosides, and fourteen structures of
them were identied. Moreover, the contents of total avonoid and total phenol of EA extract were 215.37 ±
22.23 and 304.66 ±28.06 mg/g dw, respectively. Additionally, EA extract showed a mixed-type inhibition on
α
-glucosidase, and competitive inhibition is stronger than non-competitive inhibition. This study elucidated the
antioxidant and antidiabetic components and supported the development of functional food of C.setosum.
1. Introduction
Plant metabolites are natural sources of dietary components that
support healthy living. However, they tend to contain complex chemical
compositions, and this makes it difcult to elucidate the functional
components for daily consumption. Recently, The Global Natural
Products Social Molecular Networking (GNPS) has been developed to
solve this problem, allowing visualizations of structural relationships
among molecules based on LC-MS2 spectral similarities (Wang et al.,
2016). FBMN is a computational means that connects mass spectrometry
data processing tools with molecular networking analysis on GNPS
(Nothias et al., 2020). Moreover, MolNetEnhancer could automate
chemical classication through ClassyFire to provide a more compre-
hensive chemical overview of metabolomics data (Ernst et al., 2019).
Food regulation is a good method for chronic diseases and other
illnesses. Especially, increasing the intake of vegetables, fruits, legumes,
and other related plant-based foods has been listed as an important
content in dietary guidelines (Brookie et al., 2018). Many plants contain
antioxidant components that have the effects on scavenging free radi-
cals, and intaking them from food can achieve whitening and delay the
aging process (Shen et al., 2022). In addition, plant-derived
hypoglycemic components have attracted great attention in the food
industry due to their potential health benets (Chen, Xu, Wu, Li, &Guo,
2020;Zhang, Wang, Fu, &Jiang, 2022). Plant-derived antioxidants and
hypoglycemic components are being incorporated into various foods,
including functional foods, nutritional health products, and dietary
supplements, providing consumers with healthier choices. Cirsium seto-
sum (Willd.) MB., also named as ciercaior jijicao, is a perennial
herbaceous plant in asteraceae family (Ma et al., 2016). It is widely
distributed and used in China and has a high medicinal and edible value,
which has potential to be developed a medicinal food (Jiang et al.,
2013). Although there have been many reports about C. setosum, the
interactions between chemical components and biological activities
were still limited.
To elucidate the bioactive components, this study rstly divided the
total extract of C. setosum into ve parts, and their antioxidant and
antidiabetic activities were evaluated by DPPH, ABTS and
α
-glucosidase
inhibition assays to conrm the bioactive extracts. Meanwhile, the
chemical compositions of different extracts were further analyzed and
annotated by FBMN. Furthermore, the contents of total avonoid and
total phenol were determined, as well as the dynamic experiment on
inhibition of
α
-glucosidase activity.
* Corresponding author. School of Pharmaceutical Sciences, Wuhan University, 115 Donghu Road, Wuchang District, Wuhan, 430071, China.
E-mail address: jqyu@whu.edu.cn (J. Yu).
Contents lists available at ScienceDirect
Food Bioscience
journal homepage: www.elsevier.com/locate/fbio
https://doi.org/10.1016/j.fbio.2024.104774
Received 27 April 2024; Received in revised form 20 June 2024; Accepted 17 July 2024
Food Bioscience 61 (2024) 104774
Available online 18 July 2024
2212-4292/© 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
In this study, molecular networking and biological experiments were
combined to discover the potential bioactive components of C. setosum.
Compared with traditional isolation and activity assessment, this
approach could accomplish the rapid discovery of bioactive compounds
from complex mixtures.
2. Materials and methods
2.1. Chemicals and materials
Analytical grade methyl alcohol and anhydrous alcohol, 1,1-
diphenyl-2-picrylhydrazyl (DPPH), as well as Vatimin C were pur-
chased from Sinopharm (Shanghai, China). 2,2
-Azinobis-(3-ethyl-
benzthiazoline-6-sulphonate) (ABTS) was obtained from Sigma
(Shanghai, China). The
α
-glucosidase was purchased from Yuanye
(Shanghai, China). Acarbose and p-Nitrophenyl-
α
-D-glucopyranoside
(pNPG) were obtained from Aladdin (Shanghai, China).
2.2. Plant materials
The C.setosum was gathered in Weifang, Shandong Province, China
in May 2022, and identified by Prof. Jianqing Yu (School of Pharma-
ceutical Sciences, Wuhan University). The specimen (No. CS20220503)
was stored at School of Pharmaceutical Sciences, Wuhan University,
China.
2.3. Extracts preparation
The C. setosum (700 g) was suspended with 80% ethanol (5 L) and
was subjected to ultrasonic extraction (SB-5200D, Ningbo Scientz
Biotechnology Co. Ltd.) (frequency 60 KHz, power 500 W, temperature
30 C, time 30 min) for three times to give a crude residue (TE-SO, 168
g), which was suspended in water and successively partitioned with
petroleum ether (PE), dichloromethane (DCM), ethyl acetate (EA) and n-
butanol (n-BuOH) to obtain a PE-soluble extract (PE-SO, 27.0 g), a DCM-
souble extract (DE-SO, 4.2 g), an EA-soluble extract (EE-SO, 4.0 g), an n-
BuOH-soluble extract (BE-SO, 13.3 g) and a remainder of water fraction
(WE-SO, 119.5 g), respectively.
2.4. UHPLC-Q-orbitrap analysis
A UHPLC-Q-Orbitrap HRMS (Q Exactive, Thermo Fisher) and an
Aglient Eclipse XDB-C18 (5
μ
m, 4.6 ×150 mm) were used for MS2
analysis. In both positive and negative ion modes, a HESI source was
applied in this study. The samples dissolved in methanol (2 mg/mL)
were ltered through a 0.22
μ
m membrane lter and then injected with
2
μ
L. The mobile phases consisted of 0.1% formic acid in H
2
O (A) and
0.1% formic acid in acetonitrile (B), and were conducted as the
following gradients: 040 min from 5% to 100% B; 4044 min 100% B;
4446 min from 100% to 5% B; 4650 min 5% B. The ow rate was 400
μ
L/min, and the column temperature was 35 C. This analysis was
conducted as the following parameters: Spray voltage, 3.8 kV; auxiliary
gas ow rate (arb), 10 L/min; auxiliary gas heater temperature, 350 C;
sheath gas ow rate, 40 L/min; capillary temperature, 320 C; acquisi-
tion time, 050 min; mass acquisition range, m/z 1502000. The reso-
lution was 7.0 ×10
4
and 1.75 ×10
4
FWHM in full and secondary scan
mode, respectively.
2.5. Molecular networking design
The raw mass data were rstly cnonverted to mzML by MSCon-
vertGUI and then were processed with MS-DIAL. The processed mass
data (MGF le) comprised the precursor masses and MS/MS informa-
tion, which was further used for molecular networking analysis
(Tsugawa et al., 2015). For more details about the MS-DIAL parameters,
see Supplementary Material (Table S1). Two output les were further
submitted to FBMN to create the molecular networking on GNPS plat-
form (http://gnps.ucsd.edu) and the chemical components were auto-
matically matched with GNPS library. Furthermore, the resultant
molecular networking was enhanced with MolNetEnhancer to improve
the chemical structural classication. The output les were visualized by
the Cytoscape software. All the GNPS job links were provided in Sup-
plementary Material.
2.6. Assay of contents of total avonoid and total phenol
The content determination of total avonoid in various extracts was
conducted as the method (Yusoff et al., 2023). First, the methanolic 5%
aluminium chloride and 1 mg/mL of extracts were prepared. Then, 0.5
mL extract was mixed with 2 mL 5% aluminium chloride, and then they
were diluted to 10 mL. After a 15-min incubation, the absorbances at
425 nm were measured. Rutin (050
μ
g/mL) was utilized to construct
the standard curve. Methanol served as the blank solution. The total
avonoid content expressed in milligrams of rutin equivalent (RE) per
gram of dry weight extract.
The total phenol content of different extracts was measured by Folin-
Ciocalteu assay (Yusoff et al., 2023). First, 25% sodium carbonate so-
lution and the extracts (1 mg/mL) were prepared. Then, 0.2 mL of ex-
tracts were mixed with 0.2 mL of Folin-Ciocalteu phenol solution. After
shaking, 2.4 mL of 25% sodium carbonate and 2.2 mL distilled water
were added. The absorbance at 760 nm was measured after a 30-min
incubation in the dark at room temperature. Methanol was used as
blank and gallic acid (020
μ
g/mL) was used for the calibration curve.
The total phenol content expressed in milligrams of gallic acid equiva-
lents (GAE) per gram of dry weight extract.
2.7. Biological assays
2.7.1. DPPH free radical scavenging assay
The DPPH free radical scavenging assay was conducted according to
the method (Kalaivani &Mathew, 2010). The samples and DPPH were
both dissolved in anhydrous ethanol, respectively. Then, they were
mixed in a 96-well plate and reacted. Anhydrous ethanol and vitamin C
were blank and positive control, respectively. Absorbance at 517 nm
was recorded after 30 min at dark room temperature.
2.7.2. ABTS free radical scavenging assay
The ABTS free radical scavenging experiment was performed as the
description (Feng et al., 2023). The commixture of 7.4 mM ABTS (5 mL)
and 2.6 mM potassium persulfate (88
μ
L) were stored for 18 h at dark
room temperature. The ABTS radical cation stock solution was diluted
with anhydrous ethanol until the absorbance of 0.70 ±0.02 at 734 nm.
Then, the sample solution (10
μ
L) was mixed with 90
μ
L of ABTS
working solution and reacted at dark room temperature for 20 min.
Vitamin C and anhydrous ethanol were performed as positive and blank
control, respectively. Finally, the absorbance at 734 nm was recorded.
2.7.3.
α
-Glucosidase inhibition assay
The
α
-glucosidase inhibition activity was analyzed according to the
description (Yu et al., 2023). Specically, 50
μ
L of extract and 50
μ
L of
α
-glucosidase (0.8 U/mL, dissolved in phosphate-buffered saline) were
mixed and incubated at 37 C for 10 min. Then, 50
μ
LpNPG solution (5
mM) was added to each well and incubated at 37 C for 10 min. Acar-
bose was a positive control, and the absorbance at 405 nm was
measured. The inhibition percentage was obtained by Eq. (1):
Inhibition rate (%) = 100 ×(1AaAb
AcAd)(1)
where A
a
, A
b
, A
c
and A
d
were the absorbance of sample, blank sample,
control, and blank control, respectively.
W. Zhou et al. Food Bioscience 61 (2024) 104774
2
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