Hypoglycemic and hypolipidemic effects of glucomannan extracted

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Hypoglycemic and hypolipidemic effects of glucomannan extracted from konjac on type 2 diabetic rats Haihong Chen, Qixing Nie, Jielun Hu, Xiaojun Huang, Ke Zhang, Shijie Pan, and Shao-Ping Nie J. Agric. Food Chem., Just Accepted Manuscript • DOI: 10.1021/acs.jafc.9b01192 • Publication Date (Web): 09 Apr 2019 Downloaded from http://pubs.acs.org on April 10, 2019

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Journal of Agricultural and Food Chemistry

Hypoglycemic and hypolipidemic effects of glucomannan extracted from konjac on type 2 diabetic rats

Haihong Chen, Qixing Nie, Jielun Hu, Xiaojun Huang, Ke Zhang, Shijie Pan, Shaoping Nie* State Key Laboratory of Food Science and Technology, China-Canada Joint Lab of Food Science and Technology (Nanchang), Nanchang University, 235 Nanjing East Road, Nanchang 330047, China

* Corresponding author: Professor Shao-Ping Nie, PhD Tel & Fax: +86-791-88304452 (S. P. NIE) E-mail address: [email protected]

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SKGM, soluble glucomannan from konjac, PCA, principal component analysis,

PLS-DA, partial least-square-discrimination analysis, VIP, variable importance in the projection, PC, polysaccharide control.

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Abstract: Diabetes and its complications is one of the most concerned metabolic

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diseases

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Hypoglycemic and hypolipidemic effects of glucomannan extracted from konjac on

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high-fat diet and streptozocin-induced type 2 diabetic rats were evaluated in this study.

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Administration of konjac glucomannan significantly decreased the levels of fasting

6

blood glucose, serum insulin, glucagon-like peptide 1 and glycated serum protein. The

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concentrations of serum lipids including total cholesterol, triacylglycerols,

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low-density lipoprotein cholesterol, and non-esterified fatty acid were notably reduced

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by konjac glucomannan treated. In addition, antioxidant capacity, pancreatic injury

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and adipose cell hypertrophy were ameliorated by konjac glucomannan administration

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in type 2 diabetic rats. Besides, UPLC-QTOF MS based lipidomics analysis was used

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to explore the improvement of lipid metabolic by konjac glucomannan treatment. The

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disturbance of glycerolipids (diacylglycerol, monoacylglycerol, and triacylglycerol),

14

fatty

15

sphingomyelin) and glycerophospholipids (phosphatidylcholines) metabolism were

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attenuated for the glucomannan treatment. This study provided a new insight for

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investigating the anti-diabetic effects of konjac glucomannan and suggest that konjac

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glucomannan may be a promising nutraceutical for treating type 2 diabetes.

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Keywords: type 2 diabetes, konjac glucomannan, hypoglycemic, hypolipidemic,

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lipidomics.

in

acyls

the

worldwide

(acylcarnitine,

and

hydroxyl

threaten

fatty

acid),

21 2

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health

sphingolipids

severely.

(ceramide,

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Introduction

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Diabetes is one of the most common chronic metabolic disease characterized by

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disturbance of glucose, lipid metabolism and insulin efficacy, eventually the disorder

25

of host systemic homeostasis including hyperlipidemia, hyperglycemia, etc. 1, 2

26

Nowadays, lots of anti-diabetic drugs including biguanides, a-glucosidase

27

inhibitor, and thiazolidinediones, have been synthesized for the pharmacotherapy of

28

diabetes. However, the side-effects such as flatulence, discomfort, as well as diarrhea

29

occurred in patients for the long-term medication.3 The use of phytochemicals (e.g.,

30

polysaccharide, polyphenol) from natural herbs either as pharmaceutical or dietary

31

supplements are being explored. Amounts of plant polysaccharides have been

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identified to have anti-diabetic functions with low side-effects through various

33

mechanisms, including ameliorating β-cell dysfunctions, decreasing α-glucosidase

34

activities, increasing insulin efficacy, balancing hepatic glucose metabolism,

35

etc.4,5,6,7,8

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Glucomannan is one type of polysaccharides belongs to the mannans family

37

possessed structural and storage functions in plants. Glucomannan obtained from

38

tuber, bulb, softwood, and root of many herbs are composed of a linear chain of

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mixed residues of -1, 4 linked D-mannose and D-glucose monomers arranged in

40

blocks.9,10,11 Previous studies reported that glucomannan had different bioactivities

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including controlling cholesterol, maintaining the body weight, preventing cancer,

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promoting wound healing, relieving constipation, regulating immunity and managing 3

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diabetes, etc.12 Among which konjac glucomannan is one of the most widely studied

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glucomannan, with β-(1→4) linked D-glucosyl and D-mannosyl residues as the main

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chain with branches through β-(1→6)-glucosyl units.13,14,15 Nowadays, it has been

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used as a food additive and dietary supplement primarily for the management of

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obesity, constipation, and indigestion,16,17 but the hypoglycemic and hypolipidemic

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effects of glucomannan extracted from konjac on type 2 diabetes was rarely reported.

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Lipids dysregulation was closely related to the onset and development of type 2

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diabetes. Disorder of lipid metabolism closely related to the inflammation and

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oxidative stress that significantly associated with the risk of type 2 diabetes. In recent

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decades, lipidomics was becoming more and more popular for it efficiently increasing

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the prediction of future disease risk. In contrast to explore total cholesterol, total

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triglyceride or lipoproteins (LDL-c, HDL-c, etc.), whole serum lipidomics analysis

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explores a more comprehensive view of lipid metabolism and could provide a detailed

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picture of the disorders of lipid metabolism related to type 2 diabetes.18

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Accordingly, we adopted the biochemical analysis and lipidomics methods to

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explore the anti-hyperglycemia and anti-hyperlipoidemia activities of the konjac

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glucomannan on a high-fat diet and streptozocin (HFD-STZ)-induced type 2 diabetic

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rats.

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Materials and methods

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Glucomannan preparation

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The fresh tuber of herbaceous perennial konjac was purchased from Sichuan yi

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planting konjac plant co., Ltd. (Sichuan China). Soluble glucomannan from konjac

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(SKGM) was extracted and purified according to our previous method.19

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Animals and experimental design

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Seven weeks old male inbred Wistar rat (200 ± 20 g) was purchased from Vital

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River Laboratories (VRL, Beijing, China). The animal experiment was performed

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according to our previous method.20 After the diabetic model was established (fasting

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blood glucose (FBG) concentration more than 16.7 mmol/L), all the rats were grouped

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into normal control group (NC), polysaccharides control group (treated with 80 mg/kg

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SKGM, PC) and diabetic groups. Diabetic group was randomly grouped into 5 groups

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(Figure 1A): untreated diabetic group (Model); metformin treated group (Met); 40, 80

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and 160 mg/kg SKGM treatment groups (SKGM-40, SKGM-80 and SKGM-160 in

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respectively).

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OGTT test

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Oral glucose tolerance test (OGTT) and the calculated areas under the curve

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(AUC) were conducted according to our previous method after 4 weeks of SKGM or

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Met treatment.21

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Measurement of serum BG, GSP, GLP-1, insulin level, and HOMA-IR

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Determination of serum BG, glycated serum protein (GSP), insulin, as well as

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the calculated of homeostatic measurement assessment insulin resistance (HOMA-IR) 5

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was based on our previous method.21 Glucagon-like peptide1 (GLP-1) was measured

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according to commercial available kits (Nanjing Jiancheng Bioengineering Institute,

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Jiangsu, China).

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Determination of serum lipid and NEFA

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Concentrations of serum lipid parameters including total cholesterol (TC),

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triacylglycerols (TG), high-density lipoprotein cholesterol (HDL-c) and low-density

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lipoprotein cholesterol (LDL-c), as well as levels of non-esterified fatty acid (NEFA)

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were determined according to our previous methods.21

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Evaluation of oxidative stress

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Level of serum malondialdehyde (MDA) was determined following the

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instructions on the kits. MDA kit was obtained from Nanjing Jiancheng

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Bioengineering Institute (Nanjing, China). Superoxide dismutase (SOD) and 2,

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2'-azino-bis (3-ethylbenzothiazoline -6- sulphonic acid) (ABTS) kits were purchased

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from Beyotime (Shanghai, China) and determined following the instructions.

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Histopathological analysis

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Histopathological analysis of pancreas and fat samples was performed according to our previous method.21

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Serum lipidomics analysis

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Sample preparation

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For serum lipid extraction, 8 replicate serum samples (25 μL for each) were

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extracted in 10 mL tubes by addition of the following solvents: 975 μL H2O (sit on ice

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for 10 min), 2.0 mL MeOH, 0.9 mL CH2Cl2. Then, samples were vortex for 1 min and

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make sure the mixture has a monophasic at this stage. Mixture sits on ice for 30 min.

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Add 1 mL H2O and 0.9 mL CH2Cl2, invert tubes 10 times. Centrifuge at 1200 rpm for

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10 min, collect lower layer and put into a fresh tube. Repeated the extraction by

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adding 2 mL CH2Cl2 to the remains in extraction tube, collect lower layer and add to

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the first extract. Evaporate solvent under a stream of nitrogen. Finally, resuspended

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lipids in 50:50 (MeOH: CH2Cl2) containing 5 mM ammonium.

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UPLC Q-TOF/MS analysis

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Liquid chromatographic (LC) separation and MS/MS2 data acquisition were

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based on our previous method.21

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Statistical analysis

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Statistics analysis was performed by using SPSS 17.0 and the pictures were

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drawn via GraphPad Prism 6.01 (GraphPad, American). Homogeneous subsets was

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evaluated using Turkey HSD test, p < 0.05 was considered as significant.

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For lipidomics analysis, LipidView (AB SCIEX) and MS DIAL 2.94 software

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were used for data processing, coupling with MS and MS/MS spectra lipidblast for

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lipids identification. Multivariate and univariate analysis were performed by using

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MetaboAnalyst 4.0 (http://www.metaboanalyst.ca.). 7

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Results

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Effects of SKGM on body weight, food intake and water consumption in diabetic

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rats

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The changes of body weight was presented in Figure 1B, there was no

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significant difference among all of the groups before STZ injection (p > 0.05), but rats

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showed gradual emaciation by injection of STZ, (body weights were decreased 30-50

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g after STZ injection for 3 days, Figure 1B). Besides, during the whole of the

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experiment period, the average body weight of NC group showed steadily increased

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(from 399.67 ± 31.74 g to 483.50 ± 29.03 g) whereas the model group was showed

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the opposite trend (from 399.33 ± 16.59 g to 288.70 ± 14.53 g). Compared with the

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NC group, increased food intake and water consumption were observed in the model

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group (Table 1). These symptoms were alleviated by SKGM treatment. On the one

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hand, the body weight loss was attenuated by SKGM treatment, and the body weight

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of SKGM treated groups were increased at the secondary week (Figure 1B). On the

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other hand, SKGM treatment significantly decreased food intake and water

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consumption compared with untreated diabetic rats (Table 1). Furthermore,

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SKGM-80 group exhibited more efficient effects on body weight attenuation and

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polydipsia symptom alleviation on type 2 diabetic rats.

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Results of OGTT

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OGTT and AUC were used to evaluate the glucose response to SKGM treatment.

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Compared with the NC group rats, a higher concentration of blood glucose was 8

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observed in diabetic rats from 0 min up to 180 min (Figure 1C), suggesting the

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damaged glucose tolerance in diabetes.22 The decreased blood glucose was observed

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in SKGM treated group in the OGTT test (Figure 1C). The calculated AUC values in

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model group (96.16 ± 7.08 mmol L−1·h) was notably higher than that of the NC group

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(20.08 ± 1.26 mmol L−1·h) (p < 0.0001, Figure 1D). SKGM treatment showed a

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significant reduction in AUC compared with model group, especially in the

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SKGM-80 treated group (p < 0.001).

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Effects of SKGM on BG, GSP, GLP-1, insulin level, and HOMA-IR

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Serum BG, GSP, GLP-1 and insulin levels in each group was determined to

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evaluate the hypoglycemic effects of SKGM (Figure 2). The concentration of BG in

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model group (38.20 ± 4.03 mmol/L) was notably higher than that of the NC group

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(4.65 ± 0.59 mmol/L), and SKGM treatment significantly decreased the level of

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serum BG (Figure 2A). Compared the three SKGM treatment groups, SKGM-80

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treated group exhibited the lowest glucose level, which was 17.96 ± 3.73 mmol/L.

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GSP is an effective indicator of the blood glucose level in the first two weeks, which

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was significantly reduced by SKGM treatment (2.21 ± 0.23, 2.02 ± 0.16, 2.27 ± 0.21

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mmol/L in SKGM-40, SKGM-80 and SKGM-160 group, respectively) compared with

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model group (5.508 ±2.024 mmol/L) (p < 0.0001) (Figure 2B). The concentration of

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GLP-1 in model group was lower than that of the NC and glucomannan treated groups

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(Figure 2C). Insulin in this study was remarkably enhanced (283.03%) in model

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group (compared with the NC group) (Figure 2D), suggesting insulin resistance. 9

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Compared with the model group, SKGM administration resulted in 54.39%, 61.03%

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and 56.61% reductions of insulin levels in SKGM-40, SKGM-80 and SKGM-160

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groups respectively (p < 0.0001). HOMA-IR is a commonly used parameter of insulin

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resistance in diabetes studies.23 In this study, severe insulin resistance was observed in

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the model group rats, which HOMA-IR was (181.49 ± 24.00), significantly higher

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than that of the NC group (7.80 ± 2.03) (Figure 2E). HOMA-IR in SKGM groups

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were notably lower than that of the model group (Figure 2E).

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Effects of SKGM on serum lipid function parameters and NEFA

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Concentrations of NEFA, TC, TG, HDL-c, and LDL-c were measured to

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investigate the hypolipidemic effects of SKGM on type 2 diabetic rats. Compared

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with the NC group, a significant increase in serum NEFA levels was observed in

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model group (1.85 ± 0.26, 0.82 ± 0.26 mmol/L in the model and NC group

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respectively, Table 2). A remarkable decrease of NEFA level in serum were observed

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in SKGM treatment groups which were 0.96 ± 0.12, 0.82 ± 0.20, 0.86 ± 0.16 mmol/L

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in SKGM-40, 80 and160 treated group, respectively. In addition, a significant

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increase of serum TC, TG, LDL-c, and a decrease of HDL-c were observed in the

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model group compared with the NC group (Table 2). However, treatment with

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SKGM significantly decrease the concentrations of serum TC, TG, LDL-c, and

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increase the levels of HDL-c in diabetic rats. Among all of these SKGM treated

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groups, SKGM-80 group exhibited the best hypolipidemic effects in type 2 diabetic

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rats. 10

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Evaluation of oxidative stress

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In this study, SOD, ABTS, and MDA were determined to evaluate the

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antioxidant effects of SKGM on type 2 diabetic rats. Enzymatic activity of SOD in

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model group was significantly lower than that of NC and SKGM treatment groups

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(Figure 3A). Compared with the NC group, a decreased concentration of ABTS was

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observed in the model group. SKGM treatment notably increasing the level of ABTS

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in diabetic rats (Figure 3B). Furthermore, compared with the NC group, a

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significantly increased level of MDA in model group was observed (175.40 ± 33.45,

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25.38 ± 12.95 µmol/L in the model, NC group respectively). However, it was

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decreased by the SKGM treatment (63.69 ± 27.54, 40.95 ± 17.05, 54.20 ± 15.04

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µmol/L, in SKGM-40, SKGM-80 and SKGM-160 group respectively (Figure 3C).

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Histological analysis

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STZ injection directly caused pancreatic β-cell toxicity, thus the necrotic islets

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with the destruction of cell populations were exhibited in diabetic rats, and

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intracellular degranulation and inflammation also occurred at the cellular level.24 On

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the contrary, the islets structure of normal rats were integrity, pancreatic β-cell was

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clearly visible. And SKGM treatment attenuated the islets necrotic and pancreatic

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β-cell damage visibly (Figure 4A).

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Light photomicrographs of fat tissue sections from different experimental groups

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were displayed in Figure 4B. The fat cells of NC and PC group were evenly arranged

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in size, while the model group rats exhibited serious cellular proliferation and 11

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inflammatory infiltration. Increased not the uniform size of visceral adipocytes cells,

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glycoprotein deposits on the vessel and capillary basilar membrane, etc. were

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observed in model group rats (Figure 4B). The symptom was significantly improved

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for the SKGM treatment, adipose tissue cells arranged in size and slightly cellular

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proliferation or inflammatory infiltration were observed in SKGM treated groups

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(Figure 4B).

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Serum lipidomics analysis

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UPLC/Q-TOF-MS based method was carried out to explore the lipid metabolic

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fingerprints of serum samples. 180 and 275 lipid species were identified in the

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positive and negative model, respectively. These lipids are mainly belonging to fatty

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esters, sphingolipids, glycerophospholipids, and glycerolipids (classified according to

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LipidMaps, http://www.lipidmaps.org/). Firstly, PLS-DA and t-test analysis were

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performed to explore the potential lipids that closely associated with lipid metabolism

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disorder on type 2 diabetes (PLS-DA for model and NC group). A total of 40 lipids (6

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fatty acyls, 7 sphingolipids, 2 glycerophospholipids, and 25 glycerolipids) were

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identified with VIP > 1, p < 0.05 and FDR < 0.05, the detailed information of these

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lipids were shown in Table 3 and Figure 5A. Results showed that most of the

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unsaturated triglycerides concentration was decreased (63%), while all of the

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saturated triglycerides were increased. All of the acylcarnitine (Acar, belongs to fatty

225

acyls) were increased, while fatty acid ester of hydroxyl fatty acid (FAHFA, belongs

226

to

fatty

acyls)

was

decreased.

Level

of

glycerophospholipids

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phosphatidylcholines 36:4 (PC 18:2-18:2), phosphatidylcholines 36:5 (PC 16:1-20:4)

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were increased. Sphingolipids including ceramide alpha-hydroxy fatty acid-

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phytosphingosine t37:3 (Cer-AP t17:1/20:2), ceramide non-hydroxy fatty acid-

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dihydrosphingosine d34:2 (Cer-NDS d16:0/18:2), sphingomyelins d30:0 (SM

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d14:0/16:0), sphingomyelins (d40:2; SM d14:0/26:2) were increased, while ceramide

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beta-hydroxy fatty acid-dihydrosphingosine d47:7 (Cer-BS d16:3/31:4), ceramide

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non-hydroxy fatty acid-sphingosine d31:4 (Cer-NS d15:3/16:1), ceramide non-

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hydroxy fatty acid-sphingosine d39:4 (Cer-NS d15:3/24:1) were decreased Table 3

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and Figure 5A. Concentration comparison of the individual lipids was performed and

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displayed in Figure 6I.

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To explore the effects of SKGM treatment on lipids metabolism. PCA was firstly

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carried out to characterize the clustering features among the model, NC, Met, and

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SKGM treated groups (Figure 5B and C). A clear separation was exhibited among

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the model, NC, and SKGM treatment groups and it was in agreement with the results

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of clustering analysis (Figure S1 C and D were clustering analysis in the positive and

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negative model, respectively). The separation trend indicated that diabetes notably

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altered the pattern of endogenous serum lipids metabolism in diabetic rats and SKGM

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treatment could change the perturbed lipid metabolism. The average intensity of fatty

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acyls, sphingolipids, glycerophospholipids, sterol lipids and glycerolipids (classified

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according to LipidMaps, http://www.lipidmaps.org/) were calculated to explore the

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effects of SKGM treatment on type 2 diabetic rats serum lipid metabolism. Figure 5I 13

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showed that total amounts of fatty acyls, sphingolipids, glycerophospholipids, sterol

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lipids, and glycerolipids were notably increased in model group compared with NC,

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Met and SKGM treatment groups (p < 0.0001). Furthermore, expected fatty acid ester

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of hydroxyl fatty acid (FAHFA) all the other lipids including acylcarnitine (Acar),

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ceramide

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phosphatidylcholine

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monoacylglycerol (MAG), triacylglycerol (TAG) were significantly increased

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(Figure 5D, Figure 5E, Figure 5F, Figure 5G, Figure 5H). However, SKGM

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treatment could balance the disturbance of type 2 diabetic rats serum lipid metabolism,

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especially of the 80 mg/kg SKGM treatment (Figure 5D, Figure 5E, Figure 5F,

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Figure 5G, Figure 5H).

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Discussion

(Cer),

sphingomyelin (PC)

(SM),

cholesteryl

ester

lysophosphatidylcholine (CE),

diacylglycerol

(LPC), (DAG),

260

Diabetes and its complications are becoming more and more popular worldwide

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and seriously influence the quality of human life. It is a common chronic metabolic

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disorder characterized by dysglycemia and dyslipidemia, etc. Hyperglycemia and

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hyperlipidemia always leading to a series of the health problem, including eyes,

264

kidney, heart and hepatic dysfunction. So blood glucose and lipids control were the

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most vital problems in diabetes treatment and prevention.25 In this study, the

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anti-hyperglycemic, anti-hyperlipidemic effects of glucomannan extracted from

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konjac on HFD-STZ induced type 2 diabetes were evaluated.

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Generally, gradual emaciation was a problem which troubled the diabetic 14

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patients seriously. STZ-induced diabetic rats were also accompanied with gradually

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body weight loss and serious polydipsia symptoms.20 Disturbance of lipid and glucose

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metabolism results in the excessive catabolism of nutrients may be a contributing

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factor to gradual emaciation in diabetes.26 In this study, we found that SKGM

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treatment could maintain the body weight (Figure 1B), which may attribute to the

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amelioration of insulin sensitivity and glycemic regulation in diabetic rats.2 In the

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present study, levels of serum FBG and insulin were determined, as well as the

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HOMA-IR was calculated. Compared with the model group, an observably lower

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levels of BG and deceased of HOMA-IR were obtained by SKGM treatment. The

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concentration of GSP, an effective indicator of glycemic control, was also decreased

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by the SKGM and metformin treatments (compared with the model group), which

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was in agreement with the results of FBG. Furthermore, the pancreas is the most

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important organs for the regulation of blood glucose. In this study, histopathological

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observation showed an obviously lighten of lesions in pancreatic tissues were

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obtained in diabetic rats treated with SKGM, which may indicate that maintain the

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pancreatic structure integrity from damage was one of the mechanisms for SKGM

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regulating the glucose homeostasis in type 2 diabetic rats (Figure 4A).

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In addition, persistent hyperglycemia would induce chronic oxidative stress

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through glyceraldehyde autoxidation, oxidative phosphorylation, hexosamine

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metabolism, protein kinase C activation, methylglyoxal and sorbitol formation

289

pathways (lead to ROS formation).27 The increased level of ROS would cause cell 15

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structure damage and dysfunction, subsequently leading to tissue injury.27

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Furthermore, ROS was especially relevant and dangerous for islets, which was one of

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the organs that have the lowest intrinsic antioxidant capacity.27 CAT, GSH-Px and

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SOD were important non-enzymatic and enzymatic antioxidants in vivo. An increased

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level of ABTS, SOD and decreased the level of MDA was observed by SKGM

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treatment, suggesting the increased antioxidant capacity on attenuation of lipids

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peroxidation and beta islets injury.

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Dyslipidemia, characterized by abnormal levels of lipids (eg: TG, TC and/or fat

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phospholipids) in the blood.28 Dyslipidemia characterized by elevated of lipids had

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been reported to be associated with insulin resistance and oxidant stress-induced

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tissue injury on type 2 diabetes.29,30 Pearson correlation analysis showed lipid

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parameters including TC, TG, LDL-c and NEFA were positively correlated with

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insulin, HOMA-IR and MDA (p 1, p < 0.05 and FDR < 0.05 (Table 3). Fatty acyls including FAHFAs and

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Acars were identified closely associated with lipid metabolism disorder in type 2

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diabetes rats. FAHFAs has been reported to have metabolic benefits and

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anti-inflammatory effects and could be synthesized in both humans, animals, and

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plants.31 Serum FAHFAs levels were reported to closely associated with insulin

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resistance, and oral administration with FAHFAs could improve glucose tolerance

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and stimulate insulin and GLP-1 secretion for appetite control.31 Pearson correlation

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analysis showed FAHFAs were negatively associated with HOMA-IR but positively

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associated with GLP-1 (Figure 6B). Compared with model group, a significantly (p