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Identification of Miscanthus floridulus as a promising anti-Alzheimer’s disease and antidiabetic agent through bioactivity evaluations and chemical composition analyses
⁎Corresponding author at: College of Life Sciences, Anhui Normal University, Wuhu 241000, China. wh741230@ahnu.edu.cn (Hui Wang),
⁎⁎Corresponding author at: Institute of Translational Medicine, School of Medicine, Yangzhou University, Yangzhou 225009, China. liuliang@yzu.edu.cn (Liang Liu)
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Received: ,
Accepted: ,
This article was originally published by Elsevier and was migrated to Scientific Scholar after the change of Publisher.
Abstract
Abstract
Miscanthus floridulus has significant DPPH radical scavenging, dural anti-AChE and anti-BChE, and selective anti-α-glucosidase activities. A total of 44 compounds were characterized in M. floridulus based on LC–IT–TOF–MS analysis. Twenty-one and 41 compounds were first identified from the genera Miscanthus and M. floridulus, respectively. M. floridulus has potential for the development of multitarget anti-AD and anti-diabetic agents. The present study offers a new perspective to better understand this plant.
Abstract
The Poaceae family, the fifth largest family of angiosperms, has always been an important source of cereal crops, medicinal crops, and industrial crops. However, comprehensive studies on the biological activity and chemical composition of many species are lacking. In the present study, we tested the total flavonoid and total phenol contents and antioxidant, α-glycosidase, α-amylase, acetylcholinesterase (AChE), and butyrylcholinesterase (BChE)-inhibitory activities of five Poaceae plants (Echinochloa crus-galli, Miscanthus floridulus, Sporobolus fertilis, Bromus japonicus, and Eleusine indica). As a result, the 95 % ethanol (EtOH) extract of M. floridulus (EMF) was found to possess strongest abovementioned activities among the extracts of the five different species. The IC50 value of the DPPH radical scavenging activity was 23.18 ± 0.36 μg/mL, and those of the anti-AChE, anti-BChE and anti-α-glycosidase activities were 49.92 ± 1.44, 100.37 ± 2.48, and 50.01 ± 2.15 μg/mL, respectively. Forty-four compounds were identified from the EMF through liquid chromatography–hybrid ion trap-time of flight mass spectrometry (LC–IT–TOF–MS) analysis, and the majority of these compounds were flavonoids and organic acids. In general, the obtained results highlight the medicinal value of the five members of the Poaceae family. More importantly, M. floridulus has potential for the development of multitarget anti-Alzheimer’s disease (AD) and antidiabetic agents in the pharmaceutical industry.
Keywords
Poaceae
Biological activity
Chemical composition
Miscanthus floridulus
LC–IT–TOF–MS
1 Introduction
The inhibition of enzymes in some metabolic pathways is the key attribute for treatment of some health problems (Grochowski et al., 2017, Cetin et al., 2021). Alzheimer’s disease (AD) and diabetes are two common chronic diseases that attract great attention in public health areas, imposing a heavy burden on society and the economy. One of the most critical markers in the definitive diagnosis of AD is cholinergic loss due to decrease in the secretion of acetylcholine (ACh), a crucial neurotransmitter in the brain (Lahiri et al., 2003, Balcı et al., 2023). Acetylcholinesterase (AChE) and butyrylcholinesterase (BChE) are hydrolytic enzymes, and their primary role is the hydrolysis of choline esters, including ACh (Ferreira-Vieira et al., 2016, Balcı et al., 2023). Coinhibiting AChE and BChE are essential in prolonging choline activity at synapses (Balcı et al., 2023), providing directions for the development of new anti-AD drugs. The inhibition of a-amylase and a-glucosidase can delay glucose absorption, which result in low postprandial plasma blood glucose and prevents postprandial hyperglycemia (Yılmaz et al., 2023). Synthetic enzyme inhibitors for AD and diabetes treatment in the clinic have exhibited serious side effects, including gastrointestinal disturbances and toxicity. Therefore, new safe alternative compounds from natural resources are urgently needed (Stefanucci et al., 2020).
The diverse chemical constituents of plants are considered great sources of enzyme inhibitors (Yılmaz et al., 2023). The Poaceae family is the fifth largest family of angiosperms; it has a long history of domestication and is the most economically valuable family in the plant kingdom. The Poaceae family comprises approximately 10,000 species and is grown abundantly worldwide. This large family has always been an important source for the grain industry, pharmaceutical industry and animal husbandry and has greatly contributed to the survival and development of humans (Gallaher et al., 2022, Huang et al., 2022). However, knowledge of the chemical profiles and bioactivities of many species in the Poaceae family is still lacking, which has severely hindered further development and utilization of plant resources from this family.
Echinochloa crus-galli (L.) P. Beauv., Miscanthus floridulus (Lab.) Warb. ex Schum et Laut., Sporobolus fertilis (Steud.) W. D. Glayt., Bromus japonicus Thunb. ex Murr., and Eleusine indica (L.) Gaertn. are members of the Poaceae family. They are widely distributed worldwide and used as pasture or medicinal plants (Fujian Institute of Medicine 1970, Zhang et al., 2008, El Molla et al., 2016, Ong et al., 2017, Mala et al., 2022). However, the chemical profiles and bioactivities of these species remain poorly defined. Related studies have shown that plants of the Poaceae family contain flavonoids and phenols, which are important types of secondary metabolites and possess multiple biological activities, including α-glycosidase, α-amylase, AChE, and BChE-inhibitory and antioxidant activities. The principles of plant chemical taxonomy reveal that closely related species contain similar or even identical chemical components. Therefore, we hypothesize that the five Poaceae plants may contain flavonoids and phenols and possess the abovementioned bioactivities.
To confirm this speculation, in the present study, 95 % ethanol (EtOH) extracts of E. crus-galli (EEC), M. floridulus (EMF), S. fertilis (ESF), B. japonicus (EBJ) and E. indica (EEI) were obtained via heat under reflux. The chemical constituent contents (total flavonoid and total phenol contents) and bioactivities (antioxidant, anti-AChE, anti-BChE, anti-α-glucosidase, and anti-α-amylase activities) of the different extracts were subsequently determined. Finally, liquid chromatography–hybrid ion trap-time of flight mass spectrometry (LC–IT–TOF–MS) was carried out to analyze the chemical profile of the extract with the strongest tested activities. Combined together, this study aims to elucidate the phytochemical profile and bioactivity of these five plants and provide a theoretical basis for better utilizing plants from the Poaceae family.
2 Materials and methods
2.1 Plant materials
Whole grasses of five species were collected from Anhui Province, China, in July 2022. The grasses were identified as E. crus-galli, M. floridulus, S. fertilis, B. japonicus, or E. indica. (Fig. 1) by Dr. Hui Wang from Anhui Normal University. Voucher samples (EC20220708, MF20220708, SF20220708, BJ20220708, and EI20220708) were deposited in the herbarium of the School of Medicine of Yangzhou University.Pictures of five Poaceae plants. (A) Miscanthus floridulus. (B) Sporobolus fertilis. (C) Bromus japonicus. (D) Eleusine indica. (E) Echinochloa crus-galli.
2.2 Sample preparation
The whole grasses of E. crus-galli, M. floridulus, S. fertilis, B. japonicus, and E. indica were pulverized into powders and extracted with 95 % EtOH four times at 85 °C for 2 h each time by the hot reflux method to obtain the corresponding crude extracts. For LC–IT–TOF–MS analysis, approximately 10.0 mg of each extract was sonicated for 30 min at 100 Hz, followed by filtration through a 0.22 μm Millipore filter before use. The 18 chemical compounds were weighed and dissolved in 70 % methanol. Then, an assimilated standard sample was obtained by mixing the single standard solutions.
2.3 Chemicals and reagents
Quercetin, luteolin, apigenin, diosmetin, baicalein, and gallic acid were purchased from Must Biotechnology Co., Ltd. (Chengdu, China). Quinic acid, malic acid, trans-5-O-caffeoylquinic acid, 4-hydroxycinnamic acid, isoorientin, rutin, isovitexin, isoquercetin, cynaroside, eriodictyol, naringenin, kaempferide, and emodin were purchased from Pufei De Biotechnology Co., Ltd. (Chengdu, China). α-Glucosidase, acarbose, and α-amylase were purchased from Sigma–Aldrich Chemical Co. (St. Louis, MO, USA). Vitamin C, 2,2-diphenyl-1-picrylhydrazyl (DPPH), and 2,2′-azino-bis-(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) were purchased from Bomei Biotechnology Co., Ltd. (Hefei, China). Electric eel AChE, horse serum BChE, acetylthiocholine iodide, S-butyrylthiocholine iodide, and 5′,5-dithio-bis(2-nitrobenzoic acid) (DTNB) were purchased from Yuanye Biotechnology Co., Ltd. (Shanghai, China). Sodium dodecyl sulfate (SDS), phosphate-buffered saline (PBS), and galanthamine were purchased from Solarbio Co., Ltd. (Beijing, China). 4-Nitrophenyl-α-D-glucopyranoside (PNPG) was purchased from Macklin Biotechnology Co., Ltd. (Shanghai, China).
2.4 Determination of the total phenol and total flavonoid contents
The total phenol contents of EEC, EMF, ESF, EBJ and EEI were determined by the Folin–Ciocalteu method (Qneibi et al., 2021). Folin-Ciocalteu solution (2.5 mL, 0.1 mM) was added to 2.5 mL of the sample solution and incubated for 6 min. Then, 150 μL of Na2CO3 solution (200 mg/mL) was added to the mixed solution, followed by a reaction at room temperature for 2 h. The absorbance was measured at 765 nm by an EnSpire Multilabel Reader (PerkinElmer). The total phenol content was calculated with reference to a standard curve for gallic acid (Abs = 0.0104 [GA] + 0.037, R2 = 0.9993). The results are expressed as gallic acid equivalents (mg GAE/g dry weight of extract).
The total flavonoid contents of EEC, EMF, ESF, EBJ and EEI were determined using a UV–visible spectrophotometer. The sample solution (1 mL) was mixed with 4 mL of 30 % EtOH and 0.3 mL of NaNO2 (50 mg/mL). After 6 min of incubation, 300 μL of 10 % Al(NO3)·9H2O was added, and the mixture was incubated for another 6 min. Then, 4.0 mL of NaOH solution (100 mg/mL) was added to the mixture, and 60 % EtOH was added to reach a volume of 10.0 mL. The absorbance was measured at 510 nm after 30 min. The total flavonoid content of the sample was calculated according to a standard curve generated from freshly prepared rutin solutions of different concentrations, ranging from 10–50 μg/mL (Abs = 0.755 [R] + 0.0435, R2 = 0.9996). The results are expressed as rutin equivalents (mg RUE/g dry weight of extract).
2.5 Evaluation of in vitro antioxidant activity
DPPH/ABTS assays were performed to determine the in vitro antioxidant capacities of EEC, EMF, ESF, EBJ and EEI via methods described in previous studies (Xu et al., 2020, Zhang et al., 2021). The samples (100 µL) were mixed with an equal volume of DPPH/ABTS radical solution. After reacting at 37 °C in the dark for 30 min (DPPH) or 5 min (ABTS), the absorbance of each sample was measured at 517 nm (DPPH) or 734 nm (ABTS). The sample and EtOH (both 100 µL) were mixed in the control group. DPPH/ABTS and EtOH (both 100 µL) were mixed in the blank group. The sample concentrations in the DPPH assay were 400, 200, 100, 50, and 25 μg/mL. The concentrations used in the ABTS assay were 2000, 1000, 500, 250, and 125 μg/mL. Vitamin C served as the positive control. The free radical scavenging rates were calculated using the following equation: Free radical scavenging rate = [1 − (OD1 − OD2)/OD3] × 100 % where, OD1, OD2, and OD3 are the absorbances of the sample and DPPH/ABTS, sample and EtOH, and DPPH/ABTS and EtOH, respectively.
2.6 AChE/BChE inhibition assay
The AChE/BChE-inhibitory activity was determined according to methods described previously (Zou et al., 2021, Liu et al., 2022). PBS solution (100 μL, pH 8.0), acetylthiocholine iodide or butyrylthiocholine iodide (20 μL, 1.2 mM), AChE or BChE (20 μL, 0.05 U/mL), and sample solution (20 μL) were added in turn to a 96-well plate and then incubated at 37 °C for 30 min. SDS (20 μL, 4 %) was added to the well to terminate the reaction, followed by the addition of DTNB (20 μL, 0.6 mM). Afterward, the absorbance of each sample was immediately measured at 517 nm. Galanthamine served as the positive control. The inhibition rate of the sample was estimated using the following formula: Inhibition rate = [1 − (OD1 − OD2)/(OD3 − OD4)] × 100 % where, OD1, OD2, OD3, and OD4 are the absorbance of the sample, the absorbance of the sample without AChE/BChE, the absorbance of AChE/BChE, and the absorbance in the absence of sample and AChE/BChE, respectively.
2.7 α-Glucosidase inhibition assay
The α-glucosidase assay was performed following protocols described in previous publications (Xu et al., 2020, Liu et al., 2022). Sample solution (24 μL), PBS solution (96 μL, 0.1 mol/L), and α-glucosidase solution (10 μL) were added to the wells. The mixture was reacted at 37 °C for 15 min, and then PNPG solution (30 μL) was added to the mixture. After reacting at 37 °C for another 20 min, the reaction was terminated by adding 80 μL of Na2CO3 solution (0.2 mol/L). The absorbance of each sample was measured at 405 nm. Acarbose was used as the positive control. The equation used in the AChE/BChE-inhibitory assays was used to calculate the α-glucosidase inhibition rate.
2.8 α-Amylase inhibition assay
The α-amylase assay was performed following protocols described in previous publications (Meng et al., 2016, Liu et al., 2022). Sample solution (50 μL) and α-amylase solution (50 μL) were mixed in a glass test tube. After reacting in a water bath at 37 °C for 10 min, starch solution (50 μL) was added to the mixture, which was then allowed to react at 37 °C for another 10 min. Afterward, 1 mL of 3.5-dinitrosalicylic acid solution was added to the tube, and the final mixture was reacted in boiling water for 10 min, followed by cooling to room temperature. The absorbance of each sample was measured at 540 nm. The equation for the AChE/BChE-inhibitory assays was used to calculate the percentage of α-amylase inhibition.
2.9 LC–IT–TOF–MS analysis
The analytical system (Kyoto, Japan) was composed of a Shimadzu LC–MS/MS system, which included two LC–20ADXR pumps, a DGU–20A3R degasser, an SIL–20ACXR autosampler, and a hybrid ion trap-time of flight–mass spectrometer (IT–TOF–MS). A Waters Acquity UPLC HSS T3 column (2.1 × 100 mm, 1.8 μm, Milford, MA, USA) was connected to an electrospray ionization (ESI) interface and used for chromatographic separations. The mobile phase consisted of solvents A (0.1 % formic acid in water) and B (acetonitrile) and was used for gradient elution. The elution method was as follows: 0–5 min, 95–85 % A; 5–13 min, 85–72 % A; 13–23 min, 72–5 % A; 23–25 min, 5 % A; and 25–30 min, 5–95 % A. The temperature of the column was controlled at 40 °C, the flow rate was set to 0.2 ml/min, and the injection volume was set to 3 µl.
The following mass spectrometric parameters were used: nitrogen was used as the nebulizing gas and drying gas, with a nebulizing gas flow rate of 1.45 L/min and a drying gas pressure of 100 MPa. Furthermore, a curved desolvation line (CDL) voltage was set at a constant level, with a CDL temperature of 200 °C, a block heater temperature of 200 °C, an interface voltage of 1.40 kV, a detector voltage of 1.45 kV and an IT vacuum of 1.9 × 10−2 Pa. The collision energy during collision-induced dissociation (CID) was maintained at 50 %, and 100 ms was set as the ion accumulation time. The samples were analyzed in both positive and negative ion modes over a m/z range of 100 to 1000 Da via LCMS solution software (Version 3, Shimadzu).
2.10 Statistical analysis
One-way ANOVA followed by Dunnett’s test was used to compare differences among groups. All the statistical analyses were carried out using SPSS Version 25.0 for Windows (IBM SPSS Inc., Chicago, IL), and P < 0.05 was considered statistically significant. For quantitative analyses, all data are presented as the mean ± S.E.M. Bioactivity and chemical profile experiments were repeated at least 3 times to confirm their reproducibility.
3 Results and discussion
3.1 Total phenol and total flavonoid contents
The results are shown in Table 1. The total phenol contents of the EEC, EMF, ESF, EBJ and EEI ranged from 27.92 ± 0.60 to 74.34 ± 2.84 GAE/g. The order of total phenol content from high to low was as follows: EMF > EBJ > ESF > EEI > EEC. Moreover, the total flavonoid contents of the EEC, EMF, ESF, EBJ and EEI were in the range of 71.63 ± 1.23 to 147.79 ± 3.18 mg RUE/g. The order of total flavonoid content from high to low was as follows: EMF > EBJ > EEI > EEC > ESF. Among all five tested samples, EMF contained the highest phenol and flavonoid contents.
Samples
Total phenol content
(mg GAE/g)Total flavonoid content
(mg RUE/g)
EEC
27.92 ± 0.60
73.25 ± 3.42
EMF
74.34 ± 2.84
147.79 ± 3.18
ESF
48.50 ± 0.56
71.63 ± 1.23
EBJ
61.71 ± 0.91
102.02 ± 6.03
EEI
33.26 ± 0.90
87.23 ± 3.77
3.2 Antioxidant assays
The antioxidant activity is presented as IC50 values. The smaller the IC50 value is, the stronger the antioxidant activity. According to the data presented in Table 2 and Fig. 2, the IC50 values of the DPPH and ABTS radicals scavenged by EEC, EMF, ESF, EBJ and EEI ranged from 23.18 ± 0.36 to 168.81 ± 2.60 μg/mL and from 261.07 ± 1.51 to 1591.86 ± 54.57 μg/mL, respectively. EMF exhibited the strongest DPPH scavenging ability. In the ABTS assay, the inhibitory activities of EMF and EBJ were almost equal, and EBJ had the strongest ABTS scavenging ability. All the samples scavenged the DPPH radical much more efficiently than the ABTS radical. IC50 values, μg/mL for EEC, EMF, ESF, EBJ and EEI; μM for the positive control vitamin C.
Samples
ABTS
DPPH
EEC
1591.86 ± 54.57
168.81 ± 2.60
EMF
276.48 ± 8.82
23.18 ± 0.36
ESF
806.46 ± 29.70
48.97 ± 1.43
EBJ
261.07 ± 1.51
64.27 ± 2.70
EEI
866.96 ± 25.23
80.37 ± 0.48
Vitamin C
14.19 ± 0.14
2.06 ± 0.096
Multiple activities of five different extracts. (A and B) DPPH and ABTS radical scavenging activities of 95 % ethanol extracts of E. crus-galli (EEC), M. floridulus (EMF), S. fertilis (ESF), B. japonicus (EBJ) and E. indica (EEI). (C and D) AChE and BChE inhibitory activities of EMF, ESF and EBJ. (E) α-Glucosidase inhibitory activity of EMF. (F and G) DPPH and ABTS radical scavenging activities of vitamin C. (H and I) AChE and BChE inhibitory activities of galatamine. (J and K) α-Glucosidase and α-amylase inhibitory activities of acarbose. The data are presented as the means ± S.E.M.s.
3.3 Inhibitory activity of multiple enzymes
As shown in Table 3 and Fig. 2, EMF and ESF showed AChE-inhibitory activities, and their IC50 values were 49.92 ± 1.44 and 64.52 ± 3.27 μg/mL, respectively. In the BChE assay, EMF, ESF and EBJ exhibited inhibitory activities, and their IC50 values were 100.37 ± 2.48, 155.21 ± 4.34, and 238.42 ± 3.25 μg/mL, respectively. EMF ranked first in both assays. In the α-glucosidase assay, only EMF was found to exhibit inhibitory activity, and its IC50 value was 50.97 ± 2.15 μg/mL. In addition, none of the five tested samples exhibited α-amylase-inhibitory activity. IC50 values, μg/mL for EEC, EMF, ESF, EBJ and EEI; μM for the positive controls, galanthamine and acarbose. Na: not available in the range of the tested concentrations. Nd: not determined.
Samples
AChE
BChE
α-Glucosidase
α-Amylase
EEC
Na
Na
Na
Na
EMF
49.92 ± 1.44
100.37 ± 2.48
50.01 ± 2.15
Na
ESF
64.52 ± 3.27
155.21 ± 4.34
Na
Na
EBJ
Na
238.42 ± 3.25
Na
Na
EEI
Na
Na
Na
Na
Galanthamine
0.63 ± 0.10
10.65 ± 0.45
Nd
Nd
Acarbose
Nd
Nd
9.25 ± 0.08
10.53 ± 0.88
3.4 LC–IT–TOF–MS analysis of EMF
Among the five samples, EMF had the highest total phenol/flavonoid contents and the strongest DPPH radical scavenging, dural anti-AChE and anti-BChE, and selective anti-α-glucosidase activities. The LC-IT-TOF-MS technique was employed to characterize the chemical profile of the EMF. Fig. 3 shows the total ion chromatograms (TICs) of EMF. The identification process for chemical compounds in EMF involved the following steps: (1) extraction of ion features from the raw LC-IT-TOF-MS data for each ion peak in TICs; (2) tentative characterization of the chemical compounds by comparing their ion features, retention times, and mass spectra with those of known chemical compounds in mass bank databases and relevant literature; and (3) to further confirm some identified compounds, their LC-IT-TOF-MS data was compared with those of their corresponding standard chemicals. As a result, a total of 44 compounds were identified, including 13 flavones, 8 flavonols, 5 flavanones, 2 other flavonoids, 13 organic acids, 2 anthraquinones and 1 benzopyran. Among these 44 compounds, 18 were confirmed through chemical standards. Notably, 21 compounds (xanthoxyletin, 3-hydroxy-3′-methoxyflavone, 5,7,2′,6′-tetrahydroxyflavanone, orientin, fisetin, vitexin, 5,7,3′,5′-tetrahydroxyflavanone, flavanomarein, isoquercetin, morin, swertisin, anthraglycoside B, naringenin chalcone, dalbergioidin, eriodictyol, rhamnetin, diosmetin, baicalein, 5,6,7-trihydroxy-3′,4′-dimethoxyflavone, kaempferide and emodin) were first identified from the genus Miscanthus, and 41 compounds (quinic acid, gluconic acid, xanthoxyletin, 3-hydroxy-3′-methoxyflavone, cis-aconitic acid, trans-aconitic acid, trans-3-O-caffeoylquinic acid, trans-5-O-caffeoylquinic acid, trans-4-O-caffeoylquinic acid, trans-3-O-feruloylquinic acid, trans-5-O-p-coumaroylquinic acid, 5,7,2′,6′-tetrahydroxyflavanone, trans-4-O-caffeoylshikimic acid, trans-5-O-feruloylquinic acid, orientin, 4-hydroxycinnamic acid, isoorientin, fisetin, rutin, vitexin, isovitexin, 5,7,3′,5′-tetrahydroxyflavanone, flavanomarein, isoquercetin, morin, swertisin, anthraglycoside B, naringenin chalcone, dalbergioidin, apigenin-8-C-pentose, tricin, eriodictyol, rhamnetin, luteolin, naringenin, apigenin, diosmetin, baicalein, 5,6,7-trihydroxy-3′,4′-dimethoxyflavone, kaempferide and emodin) were first identified from M. floridulus. The structures of these identified compounds are depicted in Fig. 4, and their detailed identification information can be found in Table 4. The MS/MS chromatograms of five typical identified compounds can be found in Fig. 5.Typical total ion chromatograms (TICs) of EMF by LC–IT–TOF–MS. (A) positive mode; (B) negative mode.
Chemical structures of the 44 identified compounds.
No.
tR (min)
Formula
Precursor ions(m/z)
Diff.
Fragment ions(m/z)
Identification*
Structure#
Ref.
P1
1.443
C7H12O6
191.0573 [M−H]−
6.28
173.05,171.03,127.04,111.05,109.03,93.04,85.03,
Quinic acid*
E
(Matsuda et al., 2016)
P2
1.450
C6H12O7
195.0517 [M−H]−
3.59
195.05,160.84,129.02,
Gluconic acid
E
(Kakazu and Horai 2016)
P3
1.853
C4H6O5
133.0141 [M−H]−
−0.75
133.01,115.01,
Malic acid*
E
(Matsuda et al., 2009a)
P4
2.133
C15H14O4
259.0953 [M+H]+
257.0812 [M−H]−
−4.63
−2.72201.04,183.03,95.77,
128.04,
Xanthoxyletin
F
(Phelan 2019)
P5
2.483
C16H12O4
269.0824 [M+H]+
5.95
236.12,218.11,196.09,154.09,
3-Hydroxy-3′-methoxyflavone
B
(Cuthbertson et al., 2016)
P6
2.552
C6H6O6
173.0097 [M−H]−
2.89
129.03,111.01,85.03,
cis-Aconitic acid
E
(Tetsuya 2019)
P7
2.842
C6H6O6
173.0098 [M−H]−
3.47
129.02,111.02,85.03,
trans-Aconitic acid
E
(Sawada et al., 2008)
P8
6.183
C16H18O9
353.0876 [M−H]−
−0.57
191.06,179.04,135.05,
trans-3-O-Caffeoylquinic acid
E
(Parveen et al., 2014)
P9
7.621
C16H18O9
355.1003 [M+H]+
353.0867 [M−H]−
−5.91
−3.12163.04,
353.08,191.06,
trans-5-O-Caffeoylquinic acid*
E
(Parveen et al., 2014)
P10
8.073
C16H18O9
355.1033 [M+H]+
353.0862 [M−H]−
2.53
−4.53163.04,
191.06,179.04,173.05,135.05,
trans-4-O-Caffeoylquinic acid
E
(Parveen et al., 2014)
P11
8.103
C17H20O9
369.1168 [M+H]+
367.1014 [M−H]−
−3.25
−5.72177.05,114.67,66.95,61.76,
194.06,193.05,134.04,
trans-3-O-Feruloylquinic acid
E
(Parveen et al., 2014)
P12
9.363
C16H18O8
337.0913 [M−H]−
−4.75
191.06,173.04,163.04,
trans-5-O-p-Coumaroylquinic acid
E
(Parveen et al., 2014)
P13
9.592
C15H12O6
289.0696 [M+H]+
287.0553 [M−H]−
−3.81
−2.79271.06,253.05,163.04,153.02,135.05,117.03,69.23,
151.01,
5,7,2′,6′-Tetrahydroxyflavanone
C
(Wang 2017)
P14
9.682
C16H16O8
335.0756 [M−H]−
−4.78
335.07,179.04,135.05,
trans-4-O-Caffeoylshikimic acid
E
(Parveen et al., 2011)
P15
10.143
C17H20O9
369.1193 [M+H]+
367.1024 [M−H]−
3.52
−3.00225.77,
191.06,173.05,
trans-5-O-Feruloylquinic acid
E
(Parveen et al., 2014)
P16
10.713
C21H20O11
449.1068 [M+H]+
447.0929 [M−H]−
−1.0
−0.89431.10,413.09,395.07,383.07,367.07,353.07,329.07,311.05,299.05,
429.09,411.49,393.05,369.07,357.06,328.05,327.05,
Isoorientin*
A
(Waridel et al., 2001)
P17
10.923
C9H8O3
165.0554 [M+H]+
163.0410 [M−H]−
4.85
5.52147.04,95.25,53.83,
120.05,119.06,
4-Hydroxycinnamic acid*
E
(Schulze 2017)
P18
11.452
C21H20O11
449.1060 [M+H]+
447.0925 [M−H]−
−4.01
−1.79287.05,
327.05,309.03,299.06,285.04,284.03,241.05,
Orientin
A
(Waridel et al., 2001)
P19
11.482
C15H10O6
287.0551 [M+H]+
−0.35
269.04,241.05,231.06,161.02,153.02,149.03
Fisetin
B
(Kohlhoff, 2016a)
P20
11.733
C27H30O16
611.1613 [M+H]+
609.1462 [M−H]−
0.98
0.16303.04,56.71,
343.05,301.03,271.03,255.03,
Rutin*
B
(Sánchez-Rabaneda et al., 2003)
P21
11.793
C21H20O10
433.1139 [M+H]+
431.0984 [M−H]−
2.31
0.00416.10,415.10,397.09,367.08,337.07,313.07,283.06,
341.06,312.06,311.05,283.05,
Vitexin
A
(Waridel et al., 2001)
P22
12.022
C21H20O10
433.1125 [M+H]+
431.0982 [M−H]−
−0.92
−0.46415.10,397.09,379.08,367.08,337.07,313.07,283.06,
413.08,353.07,342.07,341.07,323.06,312.06,311.05,298.03,283.06,
Isovitexin*
A
(Waridel et al., 2001)
P23
12.093
C15H12O6
289.0679 [M+H]+
287.0552 [M−H]−
−2.8
−3.14271.06,253.05,205.05,187.04,179.03,163.04,153.02,145.03,117.03,
287.05,152.00,151.01,135.05,
5,7,3′,5′-Tetrahydroxyflavanone
C
(Nessa et al., 2004)
P24
12.153
C21H22O11
451.1225 [M+H]+
449.1098 [M−H]−
−2.22
2.00289.07,285.83,71.06,
449.11,329.06,288.06,287.06,151.01,
Flavanomarein
C
(Matsuda et al., 2009b)
P25
12.273
C21H20O12
465.1016 [M+H]+
463.0880 [M−H]−
−2.58
−0.43304.04,303.05,
302.04,301.03,300.03,
Isoquercetin*
B
(Sánchez-Rabaneda et al., 2003)
P26
12.363
C15H10O7
303.0484 [M+H]+
−4.95
257.04,229.05,165.01,153.01,137.03,
Morin
B
(Silva 2019)
P27
12.393
C22H22O10
445.1139 [M−H]−
−0.22
325.07,297.04,282.05,231.03,216.01,
Swertisin
A
(Silva 2014)
P28
12.891
C21H20O11
449.1090 [M+H]+
447.0934 [M−H]−
2.67
0.22288.04,287.05,86.70,71.73,54.79,
447.09,327.05,286.04,285.04,
Cynaroside*
A
(Sánchez-Rabaneda et al., 2003)
P29
13.402
C21H20O10
431.0976 [M−H]−
−1.86
311.06,270.05,269.05,225.04,
Anthraglycoside B
F
(Kang 2018)
P30
13.950
C15H12O5
273.0770 [M+H]+
271.0605 [M−H]−
4.39
−2.58153.02,147.04,
177.02,151.01,
Naringenin chalcone
D
(Boettcher 2016)
P31
14.392
C15H12O6
289.0696 [M+H]+
287.0551 [M−H]−
−3.81
−3.48271.06,253.04,205.04,179.04,163.04,153.02,112.60,81.51,68.43,
151.01,
Dalbergioidin
D
(Wishart et al., 2007)
P32
14.613
C20H18O9
403.1027 [M+H]+
401.0897 [M−H]−
0.74
4.74385.09,367.08,337.07,201.02,85.54,71.98,
383.07,342.07,341.07,312.06,311.05,
Apigenin-8-C-pentose
A
(Parveen et al., 2014)
P33
14.732
C17H14O7
331.0799 [M+H]+
329.0653 [M−H]−
−3.93
−4.25315.05,287.06,270.05,130.37,52.03
314.04,
Tricin
A
(Kohlhoff, 2016b)
P34
17.193
C15H12O6
289.0691 [M+H]+
287.0559 [M−H]−
−5.54
−0.70271.06,241.05,187.04,179.04,163.04,153.02,145.03,135.05,117.04,
269.05,151.01,135.05,125.03,
Eriodictyol*
C
(Matsuda, 2016a)
P35
17.313
C15H10O7
301.0345 [M−H]−
−2.99
286.05,179.00,151.01,
Quercetin*
B
(Sánchez-Rabaneda et al., 2003)
P36
17.340
C16H12O7
317.0653 [M+H]+
315.0529 [M−H]−
−0.95
6.03317.06,303.04,302.04,274.05,175.64,
301.04,300.03,
Rhamnetin
B
(Matsuda, 2016b)
P37
17.413
C15H10O6
287.0551 [M+H]+
285.0390 [M−H]−
0.35
−5.26241.05,161.02,153.02,135.05,
257.05,241.05,223.04,217.05,199.04,175.04,151.01,133.04
Luteolin*
A
(Sánchez-Rabaneda et al., 2003)
P38
18.313
C15H12O5
273.0739 [M+H]+
271.0620 [M−H]−
−6.96
2.95153.02,147.04,119.05,
151.00,119.03,
Naringenin*
C
(Zhao et al., 2023)
P39
18.413
C15H10O5
271.0590 [M+H]+
269.0438 [M−H]−
−4.06
−6.32229.05,153.02,145.03,119.05,
225.06,201.07,183.06,181.06,151.00,149.03,
Apigenin*
A
(Zhao et al., 2023)
P40
18.643
C16H12O6
301.0703 [M+H]+
299.0562 [M−H]−
−1.33
0.33286.05,258.05,
284.03,271.03,227.04,203.04,161.03,
Diosmetin*
A
(Zhao et al., 2023)
P41
19.213
C15H10O5
269.0462 [M−H]−
2.60
269.04,223.04,
Baicalein*
A
(Matsuda, 2016c)
P42
19.803
C17H14O7
331.0791 [M+H]+
329.0652 [M−H]−
−6.34
−4.56330.34,316.05,315.05,287.05,270.05,271.06,68.15
314.04,201.10,171.11,
5,6,7-Trihydroxy-3′,4′-dimethoxyflavone
A
(Ji et al., 2004)
P43
20.563
C16H12O6
301.0717 [M+H]+
299.0579 [M−H]−
3.32
6.02286.04,259.06,195.02,178.02,138.19,82.02,
284.03,192.01,
Kaempferide*
B
(Matsuda, 2016d)
P44
21.973
C15H10O5
269.0446 [M−H]−
−3.35
271.05,241.05,225.05,211.04,210.03,197.06,181.07,
Emodin*
F
(Kohlhoff, 2016c)
MS/MS chromatograms of five typical identified compounds. (A) Cynaroside. (B) Rutin. (C) Eriodictyol. (D) Quinic acid. (E) Emodin.
3.4.1 Identification of flavones and flavonols in EMF
For mono C-glycoside flavones, a prominent base ion [M-H-120]− indicated the presence of a hexose molecule at the C-8 position of the aglycone, whereas a base ion [M-H-90]− was indicative of the 6-C isomer configuration of the same aglycone molecule. For example, P16 (isoorientin, luteolin-6-C-glucoside) and P18 (orientin, luteolin-8-C-glucoside) are two examples of flavone C-glycosides found in EMF. Their precursor ions were both m/z 447 [M-H]−, and the corresponding fragment ions also demonstrated losses of 120 Da (m/z 327) and 90 Da (m/z 357). P16 displayed a stronger abundance for the m/z 357 ion, whereas P18 exhibited a stronger intensity for the m/z 327 ion. Furthermore, the [M-H-H2O]− ion at m/z 429 was absent in P18 but present in P16. Additionally, the [A-H]− ion at m/z 285, representing the deprotonation product of the aglycone, was exclusively observed in P18. After their MS/MS spectra and retention time data (see Table 4) were compared with the authentic standards, mass banks and references (Waridel et al., 2001), P16 and P18 were identified as isoorientin and orientin, respectively.
The spectra of both O-glycoside flavones and flavonols revealed the deprotonated glycoside [M-H]− and aglycones [A-H]−. In these compounds, the loss of the glycosyl moiety led to the formation of the corresponding aglycone ions.
For example, P28 (cymaroside, luteolin-7-O-glucoside), a type of O-glycoside flavone, exhibited the loss of the glucose unit (m/z: 447 → 285) in negative ion mode and a weak signal of internal fragmentation of its sugar moiety (m/z 327, indicating [M-H-120]−). The product ion spectrum and retention time (see Table 4 and Fig. 5 (A)) revealed the presence of kaempferol or luteolin and confirmed the identity of cymaroside through comparison with its standard.
Similarly, in negative ion mode, two O-glycoside flavonols, rutin (P20, quercetin-3-O-rutinoside), lost the rhamnose-glucose unit with a m/z transition of 609 → 301 (see Fig. 5 (B)), and P25 was identified as isoquercetin (quercetin-3-O-glucoside) with a m/z of 463 → 301. To confirm the identity of the two compounds, their spectra and retention times (see Table 4) were compared with those of reference standards.
3.4.2 Identification of flavanones in EMF
There is an asymmetric carbon (C-2) in flavanones, which are commonly found in EMF, with multiple hydroxyl groups attached to them. For example, peaks at m/z 269, 151 [C7H3O4]− and 135 [C7H3O3]− in the negative ion mode of P34 (eriodictyol, 5,7,3′,4′-tetrahydroxyflavanone) suggested the presence of two hydroxyls in both the A and B rings, which corresponded to [M-H-H2O]−, [A1-H]− and [B3-H]− ions. After the MS/MS spectrum and retention data (see Table 4 and Fig. 5 (C)) were compared with those of the standard and reference (Matsuda, 2016a), P34 was identified as eriodictyol.
P38 was identified as naringenin (5,7,4′-trihydroxyflavanone) through analysis of its protonated ion at m/z 271 [M-H]− and characteristic fragment ions produced by RDA cleavage, which were observed at m/z 151 [A1-H]− and 119 [A1-H-2O]−, indicating two hydroxyls in the A ring. By comparing the observed data (see Table 4) to those of a standard, P38 as identified as naringenin.
3.4.3 Identification of the organic acids in EMF
Quinic acid (QA) is a common compound with antimalarial and antiviral effects. In EMF, the parent ion for P1 (quinic acid) was detected at m/z 191 [M-H]−, and it produced fragment peaks (see Fig. 5 (D)) at m/z 173 [M-H-H2O]−, 127 [M-H-H2O-H2O-CO]−, 109 [M-H-CH4O3-H2O]− and 93 [M-H-CH6O4-O]−, which suggested that there were likely at least four hydroxyls and a keto carbonyl group in the molecular structure of the P1, and is consistent with the known structure of quinic acid. P1 was identified as quinic acid after verifying standard and mass bank data (Matsuda et al., 2016).
Caffeoylquinic acid (CQA) compounds are natural phenolic acids formed by the esterification condensation of quinic acid (QA) and caffeic acid (CA) in varying amounts. In negative ion mode, there are two main fragmentation pathways: the first involves cleavage of the carbonyl-oxygen bond, resulting in the [QA-H]− ion at m/z 191; the second involves β-elimination of the carboxylic acid, leading to the [QA-H-H2O]− anion at m/z 173 and the [CA-H]− ion at m/z 179.
For example, P9 (trans-5-O-caffeoylquinic acid) presented a precursor ion at m/z 353 [M-H]−, which was followed by a product base ion at m/z 191 [QA-H]−. On the other hand, P8 (trans-3-O-caffeoylquinic acid) exhibited a base ion at m/z 191 and a prominent [CA-H]− ion peak at m/z 179 (see Table 4), indicating that P9 underwent only the first pathway of fragmentation and P8 probably underwent both the first and second pathways of fragmentation. Furthermore, P10 (trans-4-O-caffeoylquinic acid) displayed β–elimination of carboxylic acid, resulting in a base ion at [QA-H-H2O]− m/z 173. These caffeoylquinic acids (P8, P9 and P10) were identified by comparing their spectra and retention times (see Table 4) with those of the corresponding reference and standards (Parveen et al., 2014).
Additionally, other organic acids formed through esterification condensation displayed similar fragmentation pathways. P11 (trans-3-O-feruloylquinic acid) was characterized by its base ion [ferulate]− at m/z 193 resulting from the elimination of the carboxylic acid, whereas P15 (trans-5-O-feruloylquinic acid) displayed an ion [QA-H]− at m/z 191 resulting from the cleavage of the carbonyl-oxygen bond. Moreover, P12 (trans-5-O-p-coumaroylquinic acid) was distinguished by a base ion [QA-H]− at m/z 191 and an intense p-coumaric acid radical anion at m/z 163, which suggests that it probably involved both types of fragmentation pathways. These organic acids were identified by comparing the observed data (see Table 4) with reference data (Parveen et al., 2014).
3.4.4 Identification of the other compounds in EMF
Two anthraquinones were discovered in EMF. One was P44 (emodin), its precursor ion [M-H]− was observed at m/z 269, and it presented two main fragmentation ion peaks at m/z 241 and 225 (see Fig. 5 (E)), which corresponded to [M-H-CO]− and [M-H-CO2]− ions. The other anthraquinone, P28 (anthraglycoside B, emodin-8-O-glucoside), demonstrated the loss of the glucose unit at m/z 431 → 269 (see Table 4). P44 and P29 were identified as emodin and anthraglycoside B, respectively, after confirming with standards and references.
In recent years, scientists have looked towards nature for inspiration, and medicinal plants have become increasingly popular because of their pollution-free nature, low toxicity and side effects (Xiong 2011). Owing to their rich resources and multiple types of secondary metabolites, Poaceae plants have broad prospects for development and utilization in the search for new drugs from natural sources. Many Poaceae plants have been used as medicinal plants for a long time. However, in addition to some well-known Chinese herbal medicines, such as Coix lacryma-jobi L., Lophatherum gracile Brongn., Imperata cylindrica (L.) Beauv. and other species, the majority of Poaceae medicinal plants have not attracted much attention; thus, related investigations are lacking (Xiong 2011). In the present study, 5 widely distributed species from the Poaceae family were collected, and their 95 % EtOH crude extracts were further prepared. The total flavonoid and total phenol contents of crude extracts were first tested because members of the Poaceae family are rich in flavonoids and phenols (Tohge et al., 2017, Xiang et al., 2019, Kiani et al., 2021). As a result, EMF was found to contain the highest total phenol and total flavonoid contents among all five tested samples.
AD and diabetes are two common chronic diseases that have attracted increased attention in the area of public health. Owing to the multifactorial pathogenesis of AD and diabetes, multitarget drugs are more effective therapeutic strategies for AD and diabetes treatment (Li et al., 2017). In recent decades, free radical and oxidative stress have become one of the most attractive subjects in scientific research (Stefanucci et al., 2020). Oxidative stress is an important pathological mechanism in AD and diabetes. The strategy of enzyme inhibition holds considerable promise in combating global health problems such as Alzheimer's disease (AD) and diabetes (Mollica et al., 2019). AChE and BChE are crucial targets that catalyze the breakdown of acetylcholine (ACh) and are implicated in the pathogenesis of AD. Thus, the development of AChE and BChE inhibitors is an effective way to intervene in the pathogenesis of AD (Tripathi et al., 2023). α-Amylase and α-glucosidase are two enzymes that are responsible for postprandial glucose levels (Baloglu et al., 2019). However, recent evidence has shown that significant inhibition of α-amylase is related to gastrointestinal disturbances caused by abnormal bacterial fermentation of undigested food in the colon (Zhang et al., 2020). Therefore, treatment with a selective α-glycosidase inhibitor may generate a satisfactory therapeutic effect.
In the following experiments, we comprehensively evaluated the antioxidant and enzyme inhibitory activities of extracts from these five selected species. DPPH and ABTS assays are commonly used in in vitro models to evaluate the antioxidant activity of extracts (Mollica et al., 2019, Stefanucci et al., 2020). Therefore, we first chose these two assays to evaluate the antioxidant potential of the five samples. Surprisingly, EMF was found to have significant DPPH radical scavenging activity, with an IC50 value of 23.18 ± 0.36 µg/mL. In the enzyme inhibitory assays, the EMF showed obvious dural AChE (IC50 value = 49.92 ± 1.44 µg/mL) and BChE-inhibitory activities (IC50 value = 100.37 ± 2.48 µg/mL) and selective α-glucosidase-inhibitory activity (IC50 value = 50.01 ± 2.15 µg/mL). The above findings revealed the potential of EMF in the development of multipletarget anti-AD and anti-diabetes drugs. Additionally, the results of the UV–visible spectrophotometer showed that the EMF contained high total phenol and total flavonoid contents. The above results indicated that the phenol/flavonoid contents and multiple tested activities may be positively correlated.
In the subsequent LC–IT–TOF–MS analysis, 44 compounds were identified from EMF, including 28 flavonoids and 13 organic acids; therefore, a majority of the identified compounds were phenols and flavonoids. UV–visible spectrophotometry and LC–IT–TOF–MS analysis confirmed their conclusions each other. According to literature, members of the genus Miscanthus are rich in flavonoids and phenolic acids (Mouri and Laursen 2011, Parveen et al., 2013, Parveen et al., 2014), and our results are consistent with previous phytochemical investigations. More importantly, we first identified anthraquinones from the genus Miscanthus, providing new data for further studies on this genus in plant chemotaxonomic research.
Flavonoids, such as isoorientin, isovitexin, cynaroside, luteolin, apigenin, diosmetin, rutin, quercetin, and eriodictyol, and phenolic acids, such as quinic acid and neochlorogenic acid, have been reported to exhibit free radical scavenging activity (Fraga et al., 1987, Zhan 1996, Bai et al., 2005, Cao et al., 2013). Isoorientin, isovitexin, quercetin, and 4-hydroxycinnamic acid possess dural AChE and BChE-inhibitory activities (Conforti et al., 2009, Khan et al., 2009, Szwajgier and Borowiec 2012). Additionally, related studies have demonstrated the glucosidase-inhibitory activities of luteolin, isoquercetin, quercetin, naringenin, and quinic acid (Iio et al., 1984, Matsui et al., 2004, Matsui et al., 2006, Shibano et al., 2008). On the basis of the related literature, flavonoids and phenolic acids present in the EMF may be responsible for its antioxidant, dural anti-AChE and anti-BChE activities and selected anti-α-glucosidase activities.
M. floridulus, widely distributed in tropical and subtropical regions, is rich in natural resources, and is easy to obtain (Xiong 2011). The plant is an industrial crop with multiple valuable applications, such as medicinal applications, soil fixation, papermaking, weaving, and greening (Xiong 2011). However, the medicinal value of this plant has not been thoroughly and systematically studied. The results obtained in the present study provide a new idea for the exploitation and utilization of M. floridulus in the pharmaceutical industry. In vivo experiments need to be performed to verify the multiple biological activities of M. floridulus in the future.
4 Conclusions
On the basis of bioactivity evaluations and phytochemical analyses of five Poaceae plants, M. floridulus was demonstrated to be a promising anti-AD and antidiabetic agent because of its significant antioxidant, dural AChE and BChE-inhibitory, and selective α-glucosidase-inhibitory activities. Therefore, M. floridulus is worthy of further study.
CRediT authorship contribution statement
Dingping Zhao: Writing – original draft, Validation, Methodology, Investigation, Formal analysis. Qijun Dai: Methodology, Investigation, Formal analysis, Conceptualization. Yuanyuan Zhang: Methodology, Investigation, Formal analysis, Conceptualization. Hongjian Shen: Methodology, Investigation, Formal analysis, Conceptualization. Yan Mao: Methodology, Investigation, Formal analysis, Conceptualization. Xianxian Zhou: Methodology, Investigation, Formal analysis, Conceptualization. Xiqing Chen: Methodology, Investigation, Formal analysis, Conceptualization. Hanqing pang: Writing – review & editing, Methodology. Hui Wang: Project administration, Funding acquisition. Liang Liu: Writing – review & editing, Writing – original draft, Validation, Supervision, Project administration, Methodology, Funding acquisition.
Acknowledgments
This research was funded by the High-end Talents Supporting Project of Yangzhou University and the Graduate Teaching Quality Engineering Project of Anhui Province (Grant No. 2023lhpysfjd014). The authors thank Prof. Yuelin Song of Beijing University of Chinese Medicine for help with the LC–IT–TOF–MS analysis.
Declaration of competing interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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