Implication on significance of the dietary compatibility: Based on the

showed that samples could be defined by two principal components. .... mass-action law and has been most widely used16in drug combinations17, to analy...
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Implication on significance of the dietary compatibility: Based on the antioxidant and anti-inflammatory interactions with different ratios of hydrophilic and lipophilic antioxidants among four daily agricultural crops Yao Pan, Hongyan Li, Shi-Lian Zheng, Bing Zhang, and zeyuan deng J. Agric. Food Chem., Just Accepted Manuscript • DOI: 10.1021/acs.jafc.8b01690 • Publication Date (Web): 19 Jun 2018 Downloaded from http://pubs.acs.org on June 22, 2018

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Implication on significance of the dietary compatibility:

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Based on the antioxidant and anti-inflammatory

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interactions with different ratios of hydrophilic and

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lipophilic antioxidants among four daily agricultural crops

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Yao Pan1, Hongyan Li1*, Shilian Zheng1, Bing Zhang1, Ze-yuan Deng1,2**

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1

State Key Laboratory of Food Science and Technology, University of Nanchang, Nanchang 330047, Jiangxi, China

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2

Institute for Advanced Study, University of Nanchang, Nanchang 330031, Jiangxi, China

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*Corresponding author. Tel.: +86 791 88314447-8226; fax: +86 791 88304402 E-mail address: [email protected] ** Corresponding author. Tel.: +86 791 88304402; fax: +86 791 88304402 E-mail address: [email protected] 1

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Abstract

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The hydrophilic extracts of eggplant peel (HEEP) and purple sweet potato

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(HEPP), lipophilic extracts of tomato (LET) and carrot (LEC) were mixed in different

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ratios to assess the significance on the compatibility of aliments, based on their

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antioxidant and anti-inflammatory interactions in H9c2 cells. The results indicated

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that groups of some combinational extracts (HEPP-HEEP: F1/10, LEC-HEEP: F3/10,

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LEC-HEPP: F3/10) showed stronger synergistic antioxidant and anti-inflammatory

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effects than individual groups. For example, the GPx activity of LEC-HEEP (F3/10)

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group (86.71 ± 1.88) was higher than that in HEEP (79.97 ± 1.68) and LEC (77.31 ±

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1.85) groups. The level of ROS was 30.37 ± 0.25 in LEC-HEEP (F3/10) group while

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the levels were 34.34 ± 0.36 and 46.23 ± 0.51 in HEEP group and LEC group,

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respectively. And the level of MDAwas 1.82 ± 0.24 in the LEC-HEEP (F3/10) group

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while the levels were 2.48 ± 0.13 and 3.01 ± 0.24 in HEEP group and LEC group,

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respectively. The expressions of inflammatory mediators (IL-1β, IL-6, IL-8) and cell

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adhesion molecules (VCAM-1, ICAM-1) showed the similar tendency. However,

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some groups (LET-LEC: F5/10, LET-LEC: F9/10, LET-HEPP: F7/10) showed

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antagonistic effects based on these indicators. The principal component analysis

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showed that samples could be defined by two principal components. PC1: the main

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phenolic acids and flavonoids. PC2: carotenoids. Moreover, phenolics and

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anthoyanins were in the majority in synergistic groups, and carotenoids were in the

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majority in antagonistic groups. These results indicated that there exist synergistic or

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antagonistic interactions of aliments on anti-oxidation and anti-inflammation, which 2

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implied the significance of food compatibility.

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Key words: antioxidant, anti-inflammatory, interaction, compatibility, vegetable extracts

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1 Introduction

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The oxygen consumption leads to the generation of a series of reactive oxygen

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species (ROS) such as superoxide anion radicals (O•2), hydroxyl radicals (OH•) and

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hydrogen peroxide (H2O2)1. ROS also plays a significant role in transduction cascades

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and pathways2. Epidemiological studies have shown that high consumption of fruits

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and vegetables has health benefits in the prevention of chronic diseases3. In fact,

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antioxidant phytochemicals (carotenoids, anthocyanins and phenolics) in vegetables

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and fruits can delay or preventthe lipid oxidation, inhibit the initiation or propagation

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of

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phytochemicals are also involved in scavenging free radicals4. Other studies showed

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that inflammatory responses can be reduced by the increased expression of

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antioxidant genes5,6.

oxidizing

chain

reactions,

reduce

inflammatory

response.

Antioxidant

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Different phytochemical combinations showed various antioxidant interactions

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including synergistic, additive, and antagonistic effects7. It was shown that the

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antioxidant interactions of food mixture maybe not only depended on the chemical

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reaction since sometimes there was no change of the main component in the mixture

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before and after combination7. At present, three points were provided by some

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researchers8. One of them was that the regeneration of antioxidants may be the main

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reason of the antioxidant interaction9. Moreover, the generation of new material can

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further influence the antioxidant interaction. For example, rutin could scavenge free

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radicals which results in a rutin-phenoxyl-radical, and the phenoxylradicals may be

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recycled by carotenoids10. α-Tocopheroxylradical, which is derived from α-tocopherol 4

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after reaction with a free radical, can act as pro-oxidant. Rutin may act as a

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supplement to ascorbic acid sparing α-tocopherol and/or regenerating the

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α-tocopheroxyl radical at the surface, thus preventing α-tocopheroxyl from promoting

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oxidation10. On the other hand, it was revealed that protein kinase-related signaling

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pathways including phosphoinositide 3-kinase and protein kinase C.Their activities

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were modulated by phytochemicals. And it was also suggested that these relevant

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protein can affect the absorption and bioavailability of phytochemicals in cells11 and

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antioxidant interaction.

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The antioxidant interaction was a hot topic at recent years. However, most of

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researches were carried out by chemical standards, and focused on the antioxidant

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interaction of same polar extracts (hydrophilic or lipophilic). In fact, there are both

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hydrophilic and lipophilic antioxidant components in dietary foods. Whereas,

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available information regarding the antioxidant interactions between the mixture of

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lipophilic and hydrophilic extracts in daily vegetables are still limited10. Moreover,

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most of the researches reported the in vitro antioxidant interaction on ratio of 1:1, less

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was studied on other ratios or in vivo antioxidant interactions.

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Four daily agricultural crops such as eggplant (which has a dark purple skin and

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contains anthocyanins and phenolics), purple sweet potatoes (which constitute

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polyphenols and anthocyanins)12, carrot and tomatoes (which are good sources of

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carotenoids such as β-carotene and lycopene) have shown remarkable antioxidant and

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anti-inflammation activities13. Phenolic compounds and anthocyanins are hydrophilic

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antioxidant which protect against oxidative stress and inflammation12. Carotenoids are 5

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lipophilic antioxidants which can protect biological systems from oxidative stress and

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modulate the enzymatic antioxidant pathways14. Carotenoids can also ward off heart

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disease and several types of cancers such as lung, prostate, cervical, digestive tract

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and breast cancers15.Not only these agricultural crops are daily foods, but also are

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important source of hydrophilic and lipophilic antioxidants for human health.

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Therefore, they were selected to explore the effect of hydrophilic-lipophilic

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antioxidants ratio (different vegetable extracts) on antioxidant and anti-inflammatory

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interactions. And we utilized the combination index (CI) method, which is based on

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the physico-chemical principle of the median-effect equation (MEE) of the

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mass-action law and has been most widely used16in drug combinations17, to analyze

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the influences of various hydrophilic-lipophilic antioxidants ratio.

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2 Materials and methods

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2.1 Chemicals and reagents

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β-Carotene,

gallic

acid,

p-hydroxybenzoic

acid,

epigallocatechingallate,

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chlorogenic acid, catechin, epigallocatechin, protocatechuate, p-coumaric acid, ferulic

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acid, isoferulic acid, caffeic acid, rutin, myricetin, quercetin, kaempferol and DPPH

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were obtained from Aladdin (Fengxian, shanghai, China). Lycopene, delphinidin,

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petunidin, peonidin, gallic acid were gained from ChengShiKangPu Institute of

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Chemical Technology (Beijing, China). ABTS was purchased from Beyotime (Jiangsu,

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China). Solvents including methanol, acetonitrile, methyltert-butylether (MTBE) were

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purchased from Anpel (Shanghai, China). 6

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2.2 Plant materials

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Tomato, carrot, purple sweet potato, and eggplant were purchased from local

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supermarket. The mature vegetables (2.5 kg/each kind) were selected, and the edges

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were removed. The vegetables were washed with tap water. Carrot, tomato and purple

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sweet potato (with peels) were cut into small pieces (every piece was 0.5 cm length,

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0.5 cm wide and 0.5 cm thick). Eggplant peels (purple part only) were scraped off and

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cut into small pieces (every pieces was 1 cm length, 1 cm wide and10 mm thick ), and

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ground into homogenate with a commercial triturator (JJ-2B, JintanRonghua

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Instrument Manufacture Co. Ltd, Jiangsu, China). The homogenate was freeze-dried

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(FD-1, Beijing Detianyou Technology and Development Co., Ltd., Beijing, China)

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and ground into fine powders, and then stored at -80°C until analysis.

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2.3 Phytochemical extractions

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The carotenoids of tomato and carrot were extracted according to the method18

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with some modifications. Briefly, 0.5 g dried vegetable powder was transferred into

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50 mL tube containing 10 mL of acetone for tomatoes and carrots, and the mixture

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was carried out in a water bath at 4°C for 12 h. The mixture was centrifuged at 4200

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rpm for 3 min (TDL-5-A, Anke, Shanghai, China). After the supernatant was

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separated, the residue was re-extracted twice. The supernatant (water phase) was

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gathered, the lipophilic extracts were evaporated to dryness with nitrogen.

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Phenolics including anthocyanins of purple sweet potato and eggplant peel were 7

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extracted according to the previous methods18 with minor modifications. Briefly, 0.5 g

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dried vegetable powder was transferred into 50 mL tube and were topped up to 10 mL

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with 0.1% HCl (v/v) in 80% methanol. The mixture was carried out in a water bath at

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4°C for 12 h and then was centrifuged at 4200 rpm for 3 min (TDL-5-A, Anke,

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Shanghai, China). After the supernatant was separated, the residue was re-extracted

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twice. And the hydrophilic extracts were freeze-dried.

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All procedures were conducted in dark to avoid oxidation and three separate

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samples were extracted. The extractions were then filtered through a 0.2-µm PTFE

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syringe filter (AA-56316, Troody), for the further analysis

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2.4 The identification and quantification of carotenoids

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The Agilent 1290 UPLC system contained a binary pump Bin Pump SL, a

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degasser, a TCC SL column oven, a thermostatedHiP-ALS autosampler and a DAD

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detector was used (Agilent Technologies, Santa Clara, CA, USA). The identification

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of carotenoids followed the method as described in our previous report19 with minor

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modifications. The mobile phase consisted of methanol (A) and acetonitrile (B).

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Isocratic elution with 65% A and 35% B was used. The flow rate was 0.3 mL/min and

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the column temperature was controlled at 30°C. All standards and samples were

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dissolved in acetone and the sample injection volume was 3 µL. In order to generate a

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specific calibration plot for the calibration and quantification, β-carotene standard (1.0

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mg) and lycopene standard (1.0 mg) were accurately weighted and dissolved in 1 mL

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acetone. The stock solution was diluted to obtain corresponding solutions (0.1, 0.2, 8

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0.4, 0.6, 0.8 mg/mL).

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2.5 The identification and quantification of phenolics

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The instrument is the same as the preceding article and the method as described

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in previous report20 with little modification. For phenolics, the mobile phase consisted

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of 0.1% formic acid in de-ionized water (A) and acetonitrile (B). The gradientdient

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program was as follows: 0-10 min, 90-80% A; 10-15 min, 80-60% A; 15-18 min,

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60-90% A. A 6 min post-run procedure was set to re-equilibrate the column. The flow

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rate was 0.1 mL/min and the column temperature was controlled at 25°C. The UV-vis

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absorbance data of the peaks was acquired over a range from 230 to 600 nm. All

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standards and samples were dissolved in methanol and the sample injection volume

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was 3 µL. In order to generate a specific calibration plot for the calibration and

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quantification, each standard (1.0 mg) was accurately weighted and dissolved in 1 mL

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methanol. The stock solution was diluted to obtain corresponding solutions (10, 25,

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50, 100, 150 and 200 µg/mL).

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2.7 The identification of anthocyanins

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The HPLC-QTOF-MS consisted of an Agilent system G6430 (Waldbronn,

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Germany) equipped with ODS C18 column (2.1×100 mm, 1.8 µm) and a detector

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(series 1100-DAD G1315B) was used. As the mobile phase, (A) 0.2% formic

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acid-water and (B) 0.2% formic acid-acetonitrile were used. The gradient dient

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program was as follows: 0-15 min 7%-13% B, 15-18 min 13%-13% B, 18-25 min 9

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13%-16% B, 25-30 min 16%-16% B, 30-40 min 16-20% B, 40-41 min 20%-7% B.

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The flow rate was 0.3 mL/min and the column temperature was controlled at 35°C.

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The UV-vis absorbance data of the peaks was acquired in range of 280-520 nm.

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ESI-MSn experiments were performed using the following conditions: positive ion

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and alternating mode, detection range of m/z was 100-1700, capillary voltage was 4

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KV, gas flow temperature is 350°C, nebulizer (N2) was 60 psi, dry gas was 11 L/min.

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2.8 The total phenolic, flavonoid, anthocyanin and carotenoid contents

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The total phenolic contents (TPCs) of dried vegetable powder were carried out

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by Folin-Ciocalteu method7 using gallic acid as a standard. The TPC was expressed as

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milligram of gallic acid equivalent (GAE) in gram of dry weight (DW). The total

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flavonoid contents (TFCs) of dried vegetable powder were determined according to

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previously reported methods21. TFC was expressed as mg catechin equivalents per g

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dry weight extract (mg CAE/g DW) using the catechin calibration curve. The total

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anthocyanin contents (TACs) of purple potato and eggplant were measured using pH

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differential method18. Total carotenoid contents (TCCs) were measured using pervious

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method22. All samples were tested in triplicate.

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2.9 Cell culture and viability assays

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H9c2 cells (2-1, Zhichenhui BiotechnologyCo., Shanghai, China) were plated in

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Dulbecco’s modified Eagle’s medium (DMEM) (01-051-1ACS, Biological Industries,

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Shanghai, China) supplemented with heat inactivated 10% fetal bovine serum (FBS) 10

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(04-001-1A/B, Biological Industries, Shanghai, China), 100 U/mL penicillin, 100

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mg/mL streptomycin (Solarbio Co., Beijing, China) and cultured in a humidified

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incubator at 37°C, 5% CO2. Cells were plated in the suitable plates for 24 h before the

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appropriate treatments for the different assays. Cell viability was assayed with trypan

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blue within 1 h of cell isolation. Only preparations with cell viability greater than 95%

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were used for subsequent experiments. The hydrophilic extracts were dried

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underlyophilization,

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(Zhongshanjinqiao Biotechnology Co., Beijing, China) as the hydrophilic stock

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solution (200 mg/mL). The lipophilic extracts were dried under nitrogen, and

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re-dissolved in a small volume of dimethylsulfoxide (DMSO) (Damao Co. Ltd.,

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Tianjing, China) as the lipophilic stock solution (200 mg/mL). Both these stock

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solutions were diluted in cell culture medium as different ratios.

and

re-dissolved

in

phosphate

buffer

solution

(PBS)

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2.10 Determination of MTT assay by combination index (CI).

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The MTT assay were determined according to our previous study23 with some

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modifications.

H2O2-induced

cytotoxicity

was

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5-dimethylthiazol-2-yl)-2, 5-diphenyl tetrazolium bromide (MTT) assay. Cells were

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seeded in 96-well microstate plates, after the treatments with H2O2 (0, 50, 100, 150,

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200, 300 µmol/L) for 1 h, respectively, and 0.5 mg/mL MTT (Sigma Co., USA) was

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added to each well and incubated for 4 h to form formazan crystals. Then, the medium

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was gently removed, and the crystals were dissolved in 100 mL of DMSO. The

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formed formazan crystals were quantified and measured at 490 nm in microplate 11

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using

3-(4,

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kinetic reader (Thermo Scientific varioskan flash, Vantaa, Finland). The data was

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expressed as a percentage of viability compared to untreated control cells. The

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appropriate concentration for H2O2 (cell relative viability was under 50%) was

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selected.

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Five different fractions (1/10, 3/10, 5/10, 7/10, and 9/10) of each vegetable

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extracts were designed to mix with different fractions of another one (9/10, 7/10, 5/10,

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3/10 and1/10). Cells were divided into 36 groups: control group, H2O2 group, four

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individual groups (HEEP, HEPP, LEC, LET), HEEP-HEPP+H2O2 groups (with five

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different fractions), LEC-HEEP+H2O2 groups (with five different fractions),

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HEEP-LET+H2O2 groups (with five different fractions), LEC-HEPP+H2O2 (with five

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different fractions), LET-HEPP+H2O2 (with five different fractions), LEC-LET+H2O2

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(with five different fractions). After incubation of combination extracts in different

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concentration (0.1, 0.5, 1.0, 1.5, 2.0, 2.5, 3.0 mg/mL) for 12 h and treatment with

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H2O2 (200 µmol/L, the optimal concentration from the results of preliminary

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experiment) for 1 h, the cell viability was determined by MTT assay. Based on

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different concentration from different fractions, the CI value can be generated

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automatically by CompuSyn17. According to the CI values, 6 groups (3 synergistic

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and 3 antagonistic groups) were chosen for the further experiments.

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2.11 Measurement of reactive oxygen species (ROS) production

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A fluorescent probe, dichlorodihydrofluoresceindiacetate (DCF-DA), and

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flowcytometry were used to measure the intracellular ROS formation. Briefly, cells 12

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were seeded into 6-well plates for 24 h and treated with extracts for 12 h, induced by

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H2O2 for 30 min, followed by incubation with 5 mM DCF-DA in medium at 37°C for

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10 min in the dark. After centrifugation at 1000 rpm for 5 min, the supernatants were

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removed and the pellets were resuspended in 1% Triton X-100. Fluorescence was

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measured by flow cytometry. Flow cytometry was performed using a FACS calibur

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(BD biosciences) system with cell quest software. The percentages of cells in different

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phases of the cell cycle within the GFP-positive population were determined using the

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software program ModFit.

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2.12 The enzymatic activities of SOD, GSH, GPx, GST, CAT and the level of

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MDA

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Total cell lysates were prepared in RIPA lysis buffer containing protease

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inhibitors (Beyotime Biotech, Shanghai, China). Total protein concentration was

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determined by the BCA protein assay (Beyotime Biotech, Shanghai, China).

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Superoxide dismutase (SOD), glutathione (GSH), glutathione peroxidase (GPx),

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glutathione transferase (GST), catalase (CAT) enzymatic activities and the level of

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malondialdehyde (MDA) were determined using colorimetric kits (Beyotime Biotech,

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Shanghai, China) according to the manufacturer’s protocols.

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2.13 Western blot analysis of the inflammatory mediators (IL-1β, IL-6, IL-8, TNF-α) and cell adhesion molecules (VCAM-1, ICAM-1) H9c2 cells were incubated with combination groups for 12 h in 6-well culture 13

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plates, respectively. Then, cells were induced by H2O2 for 1 h. Immediately following

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the incubation, the cells were washed three times with ice-cold PBS and the total

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protein was extracted by 50 µL cell lysis buffer (1 mL RIPA + 10 µL PMSF). After

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incubation for 5 min at -4°C, the sample was centrifuged at 12000 rpm for 15 min and

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the supernatant was separated and stored at -80°C. Proteins (about 80 µg) were

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separated by 10% SDS-PAGE, transferred to polyvinylidene fluoride (PVDF)

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membranes (Roche Diagnostics GmbH, Mannheim, Germany). After blocking in 5%

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fat-free milk in Tris-buffered saline-Tween-20 (TBST) for 2 h at room temperature,

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the PVDF membranes were incubated with primary antibodies (Anti-IL-6 antibody

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ab9324, Anti-VCAM 1 antibody [EPR5047] ab134047, Anti-IL1 beta antibody

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ab9787, Anti-ICAM 1 antibody [EPR19938] ab206398, Anti-TNF alpha antibody

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ab6671, Anti-IL-8 antibody ab7747, all of these antibodies were punched from Abcam,

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Cambridge, MA) overnight at 4°C. The membranes were washed with TBST and then

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incubated with horseradish peroxidase-conjugated anti-rabbit (L3012, Signalway

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Antibody, Nanjing, China) or anti-mouse (L3032, Signalway Antibody) secondary

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antibodies in TBST (1:1000) for 2 h at room temperature, and then visualized by a

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super enhanced chemiluminescence detection reagent (Beyotime Institute of

276

Biotechnology, Haimen, China). The signals were detected using Image Station

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4000R (Kodak, Rochester, NY, USA). Quantification of results was performed using

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Quantity One. Each experiment was repeated at least three times.

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2.14 Statistical analysis 14

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The data are expressed as mean ± standard error of the mean (SEM) from at least

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three independent assays, each one in duplicate. Statistical differences were analyzed

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by one- or two-way ANOVA followed by multiple comparisons performed with post

284

hoc Tukey’s test using SPSS version 18.0 (SPSS Inc., Chicago, IL). Differences were

285

considered as statistically significant if P< 0.05.

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3 Results

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3.1 Phytochemical contents and antioxidant activities

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The

main

anthocyanins

of

hydrophilic

extracts

were

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cyanidin-3-sophoroside-5-glucoside,

peonidin-3-sophoroside-5-glucoside,

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delphinidin-3-glucoside,

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pelargonidin-3-lutinoside-5-glucoside,

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acid-sophoroside-5-glucoside (Table 1, Figure 1). It showed that the anthocyanins of

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purple sweet potato and eggplant peel frequently occurred as glycoside. The main

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phenolic compounds in purple sweet potato and eggplant peel weregallic

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acid,p-hydroxybenzoic

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p-coumaric acid. (Table 2, Figure 2). Moreover, the TPCs of HEEPand HEPP were

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18.28 ± 0.73 and 6.17 ± 0.51 mg GAE/g DW, the TFCs of HEEP and HEPP were 7.89

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± 0.68 and 2.96 ± 0.49 mg G3G/100g DW, and the TACs of HEEP and HEPP were

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1.96 and 0.33 mg G3G/g DW, respectively (Table 3A).

petunidin-3-double-mulberry-cloth-glucoside, and

acid,chlorogenic

cyanidin-3-p-hydroxybenzoic

acid,protocatechuate,quercetin

and

301

On the other hand, the main carotenoids of LEC were β-carotene (735.02 ± 19.01

302

µg/g DW) and lycopene (132.03 ± 13.88 µg/g DW), and its TCCs was 937.01 ± 21.13 15

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µg/g DW. Lycopene (538.26 ± 12.31 µg/g DW) and β-carotene (254.13 ± 10.97 µg/g

304

DW) were also the main carotenoids of LET and its TCC was 851.12 ± 17.67 µg/g

305

DW (Figure 3,Table 3B).

306 307 308

3.2 The interaction effects of different fractions among different vegetable extracts on the relative cell viability

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After treated with 200 µmol/L H2O2 for 1 h, the relative cell viability was below

310

50%. Hence, the treated concentration (200 µmol/L) was chosen to set up the damage

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cell model with H2O2. Compared with the control group, cell viability was under 95%

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when the concentrations of HEEP and HEPP were above 1.5 mg/mL and the

313

concentrations of LEC and LET were above 2.0 mg/mL. Therefore, in order to ensure

314

the cell viability after the addition of extracts, appropriate concentration (1 mg/mL) of

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these four extracts was chosen for the further study.

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The combination indexes of relative cell viability at different ratios of four

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vegetable extractions were showed in Table 4. Three groups [HEPP-HEEP: F1/10

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(S1), LEC-HEEP: F3/10 (S2), LEC-HEPP: F3/10 (S3)] showed lower CI values

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(0.825±0.01, 0.701±0.014, 0.797±0.097, respectively) which indicated synergistic

320

effects (CI<1) .However, there were three groups[LET-LEC: F5/10 (A1), LET-LEC:

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F9/10 (A2), LET-HEPP: F3/10 (A3)]had higher CI values (1.465±0.045, 1.264±0.091,

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1.354±0.023, respectively) which showed antagonistic effects (CI>1).Therefore,

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these 6 groups(S1, S2, S3, A1, A2, A3) were chosen for the further experiments.

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Different combinational groups with various ratios presented diverse antioxidant 16

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interactions in this study on account of the fact that people usually ingest the mixture

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of phytochemicals in their daily food, included lipophilic and hydrophilic

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phytochemicals. Apparently, from the MTT results of 30 kinds of different

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combinational groups, six groups (S1, S2, S3, A1, A2, A3) showed more significant

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effects on H2O2-induced H9c2 cells than the individual groups.

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3.3 The combination groups inhibited the generation of intracellular ROS

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The intracellular ROS generation is a marker of oxidative stress. Cells induced

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by H2O2 exhibited a significant increase of intracellular ROS generation (75.07 ± 0.31,

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Figure 4) as compared to the control group (36.64 ± 0.22). When the cells were

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pretreated with the individual extracts (HEPP, HEEP, LET, LEC), there was a

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significant decrease in intracellular ROS generation compared to H2O2-induced group

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(Figure 4). For example, the intracellular ROS generation of LEC group (46.23 ± 0.51)

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was inferior to the H2O2-induced group (75.07 ± 0.31).

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However, when pretreated with the combination of extracts, some groups

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showed the synergistically inhibited effects on the intracellular ROS generation

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(Figure 4). For instance, the ROS generation in LEC-HEEP (F3/10) was 30.37 ± 0.25,

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which was lower than those in HEEP (34.34 ± 0.36) and LEC groups (46.23 ± 0.51).

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In the same way, groups of HEPP-HEEP (F1/10) and LEC-HEPP (F3/10) showed the

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synergistic effect. However, there are also some groups (LET-LEC: F5/10, LET-LEC:

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F9/10, LET-HEPP: F3/10) showed antioxidant antagonistic effects (Figure 5). For

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instance, the ROS generation in LET-LEC (F9/10) was 52.35 ± 0.38, which was

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higher than those in LEC and LET groups (34.34 ± 0.36 and 34.27 ± 0.43, 17

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respectively). 3.4 Effects of different ratios among different extracts on GPx, SOD, CAT activities, the level of GSH and MDA in H2O2-induced H9c2 cells

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The groups pretreated with different extracts could effectively prevent the GSH

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depletion in H9c2 cells exposed to H2O2 (200 µmol/L) for 1 h (Figure 5). It was noted

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that the GSH levels of individual group, such as HEEP group (84.55 ± 1.79) could be

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recovered compared with the H2O2-induced groups (70.47 ± 1.46). In addition, three

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combination groups (S1, S2, S3) showed synergistic effects on recovery of GSH

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depletion (Figure 6). The activity of GSH on HEPP-HEEP (F1/10) group (94.01 ±

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1.87) was significant higher than those of HEPP and HEEP groups (78.83 ± 1.27 and

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84.55 ± 1.79, respectively). However, another three groups (A1, A2, A3) showed

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antagonistic effect on recovery of GSH depletion (Figure 5). The value of GSH on

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LET-LEC(F5/10) group (69.37 ± 1.49) was significant decreased compared the

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individual LET and LEC groups (75.97 ± 1.86 and 72.09 ± 1.99, respectively).

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In the present study, the groups treated with H2O2 resulted in the significant

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decrease on activity of GPx (% of control group) in H9c2 cells (P0.05).However, the SOD activities (197.34 ± 1.62

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U/mg prot) in S2 group were significantly higher than HEEP (153.11 ± 4.87 U/mg

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prot) and LEC groups and (156.23 ± 5.85 U/mg prot).

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Similarly, the activity of CAT on the S2 group (7.23 ± 0.84 U/mg prot) showed

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synergistic effect compared with the individual groups (HEEP: 5.01 ± 0.91, HEPP:

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4.92 ± 0.75, LEC: 4.85 ± 0.63). However, the activity of CAT showed no significant

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difference among A1, A2, A3 groups and the individual groups (LEC, LET,

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HEPP).On the other hand, the expression of MDA (Figure 5) in the H2O2-induced

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group (3.48 ± 0.16 nmol/mL) was significantly higher than other groups. Meanwhile,

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the expression of MDA in the S2 group (LEC-HEEP F3/10, 2.01 ± 0.21 nmol/mL)

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was significantly lower than those in HEEP and LEC groups (2.37 ± 0.19 and 3.01 ±

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0.25 nmol/mL), which showed synergistic effect (P