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Agrimonia pilosa Ledeb. aqueous extract improves impaired glucose tolerance in high-fat diet-fed rats by decreasing the inflammatory response

BMC Complementary and Alternative Medicine volume 17, Article number: 442 (2017) Cite this article

Abstract

Background

Agrimonia pilosa Ledeb. is a medicinal plant with physiological activities such as anti-cancer, antioxidant, anti-inflammatory activities and in vitro anti-diabetic activity. However, the effects of aqueous extracts from A. pilosa on insulin-resistant rats have not yet been examined. We investigated the effects of aqueous extract from A. pilosa on impaired glucose metabolism induced by a high-fat diet in rats.

Methods

Male Sprague-Dawley rats were assigned to the following groups: normal-fat diet (NF, n = 9); high-fat diet (HF, n = 9); high-fat diet with 0.1% A. pilosa aqueous extract (HFA, n = 10). Experimental diets were administered for 16 weeks. At the end of the treatment, liver and fat tissues were isolated, and serum was collected for biochemical analysis.

Results

The HF group rats had a significantly higher liver weight than the NF group rats did, and increased hepatic lipid accumulation (p < 0.05); however, supplementation with A. pilosa decreased liver weight. Blood glucose levels in the HFA group were lower than levels measured in the HF group 30, 60, and 120 min after glucose administration (p < 0.05). In addition, dietary A. pilosa supplementation decreased tumor necrosis factor α and interleukin 6 levels, while increasing serum adiponectin concentrations (p < 0.05 vs. the HF group). These effects were accompanied by reduced hepatic and adipose tissue expression of inflammation-related genes such as Tnf and Il1b (p < 0.05).

Conclusions

Our findings indicate that A. pilosa aqueous extract can ameliorate insulin resistance in high-fat diet-fed rats by decreasing the inflammatory response.

Peer Review reports

Background

The incidence of obesity has risen dramatically during the past 50 years. In Korea, obesity (defined as having a body mass index greater than 25 kg/m2) is prevalent in 32.9% of the adult population [1]. Obesity affects adults and children worldwide, and its recent dramatic increase has been caused by decreased energy expenditure and increased energy intake.

Excessive calorie intake usually causes obesity, glucose intolerance, and insulin resistance [2]. Insulin resistance is defined as a decreased sensitivity of the peripheral tissues to insulin action [3]; it increases the risk of cardiovascular disease, type 2 diabetes, hypertension, and nonalcoholic fatty liver disease (NAFLD) [4]. Insulin resistance is also known to cause a metabolic syndrome, which manifests as steatosis in hepatic tissue [5].

NAFLD has been defined as the accumulation of hepatic lipid not due to excess alcohol consumption. It encompasses a spectrum of disorders, ranging from hepatic steatosis to nonalcoholic steatohepatitis (NASH), cirrhosis, and hepatocellular carcinoma [6]. Although NAFLD per se may be a benign process, it can progress to inflammatory liver disease. Its high prevalence and contribution to causes of death are also an important issue for management of life expectancy [7]. Therefore, NAFLD should be diagnosed and regulated early, before it progresses.

It is now well-established that insulin resistance-related metabolic syndrome and NAFLD are associated with a chronic inflammatory response, also termed metaflammation [8]. Chronic low-grade inflammation is characterised by the increased production of inflammatory adipose tissue-specific secretory proteins (adipokines), such as tumor necrosis factor (TNF) α and interleukin (IL) 6, contributing to glucose intolerance and insulin resistance. Unlike levels of other adipokines, those of adiponectin (also known as Acrp30, AdipoQ, and GBP28) decrease in obesity-induced metabolic disorders, including insulin resistance [9].

Agrimonia pilosa Ledeb. is a medicinal plant known to exert anti-cancer [10] and antioxidant [11] effects, acetylcholinesterase inhibition [12], and anti-inflammatory activities [13, 14]. Our previous study indicated that A. pilosa extracts improved the free fatty acid-induced insulin resistance in C2C12 myotubes [15]. However, the effects of aqueous extracts from A. pilosa on insulin-resistant rats have not yet been examined. The purpose of this study was to investigate the effects of A. pilosa aqueous extract on insulin resistance induced by a high-fat diet (HFD) in rats.

We used HFD to establish glucose intolerance, and investigated the effects of A. pilosa treatment on glucose tolerance and the potential underlying molecular mechanisms.

Methods

Plant material and extraction

The aerial parts of A. pilosa were purchased from the Gokseong Agricultural Association (Jeollanam-do, Korea) in 2011 as dried form and identified by the Classification and Identification Committee of the Korea Institute of Oriental Medicine (KIOM). A voucher specimen (KIOM109-122Aa) was kept in the herbarium of the Department of Herbal Resources Research of the KIOM. Dried A. pilosa was extracted twice with 10 volumes of water at 80 °C for 3 h. The extracts were filtered through No. 6 filter paper (Whatman, Maidstone, UK) and were concentrated under reduced pressure by a rotary evaporator (EYELA, Tokyo, Japan) at 40 °C. The water filtrates were frozen and lyophilised (Ilshin Lab). The final lyophilised extracts were stored at − 20 °C until use.

Animals and diets

Seven-week-old male Sprague-Dawley (SD) rats with an average weight of 271.9 ± 8.7 g were purchased from Orient Bio Co. Ltd. (Seongnam, Korea). All rats were housed individually in plexiglass cages and maintained in an air-conditioned room at 22 ± 2 °C under an automatic lighting schedule. To help with adaptation to the laboratory conditions, the rats were fed a standard pellet diet with free water for the first week prior to the experiment. After the acclimation period, the rats were randomly blocked into three groups (n = 10 per group) with similar mean body weights. The rats were assigned to the following groups: Normal-fat diet (NF); HFD (HF, 36% of energy as fat); HFD with 0.1% A. pilosa aqueous extract (HFA). These experimental diets were maintained for 16 weeks. The composition of the experimental diets is shown in Additional file 1. This experimental design was approved by the Institutional Animal Care and Use Committee (IACUC) of the National Academy of Agricultural Science (reference number: NAAS-1203).

Preparation of blood and tissue samples

On the last day of the experiment, after fasting for 16 h, all rats were anesthetized with CO2 and blood was collected via the heart. The collected blood was kept in cold water for approximately 30 min, and the serum was separated by centrifugation at 3000 rpm for 20 min at 4 °C. After cutting the abdomen open, small pieces of liver and fat tissues were rapidly excised and frozen immediately in liquid nitrogen for Real-time quantitative reverse transcription PCR. The liver and fat tissues were removed, rinsed with cold phosphate-buffered saline, and weighed. Hepatic sections for histological evaluation were stored in 10% buffered neutral formalin. The residue was frozen immediately in liquid nitrogen and stored –in a − 70 °C freezer.

Oral glucose tolerance test (OGTT)

Rats were subjected to an overnight fast for 16 h before the OGTT. The baseline glucose level was measured by OneTouch Ultra Glucose Monitoring System (Johnson & Johnson Medical, New Brunswick, NJ, USA). The 75% glucose solution (2 g/kg b.w.) was orally injected, and serum glucose in the blood sample from the tail vein was estimated by a glucometer at 0, 30, 60, and 120 min. Assays were carried out in triplicate (n = 10). The area under the curve (AUC) was also calculated.

Blood biochemical assays

Serum glucose was determined using commercial assay kits (Asan Pharmaceutical, Seoul, Korea) according to the manufacturer’s protocols. Insulin and adiponectin levels were analysed by commercial assay kits (Millipore Corp., Billerica, MA, USA). Serum TNF-α and IL-6 levels were also measured using commercial assay kits (R&D Systems, Minneapolis, MN, USA) according to the manufacturer’s protocols. Assays were carried out in duplicate (n = 10). The homeostasis model assessment of insulin resistance (HOMA-IR) was obtained by the calculation (HOMA-IR = glucose (mg/dL) × insulin (mU/L)/405).

Liver histology

Liver tissue was fixed with 10% neutral buffered formalin and embedded in paraffin. Sections were cut and stained with Oil red O staining. Images were captured using an Olympus AX 70 camera (Center Valley, PA, USA). The initial assessment was performed under low magnification (40 × to 200 ×), and confirmed under high magnification (400 ×). Hepatic steatosis was graded as 0 (fatty hepatocytes occupying < 5%), 1 (fatty hepatocytes occupying 5–33%), 2 (fatty hepatocytes occupying 34–66%), or 3 (fatty hepatocytes occupying > 66%) according to the percentage of hepatic lipid [16].

Real-time quantitative reverse transcription PCR

Total RNA was isolated from liver and fat tissues using the RNeasy Microarray Tissue Kit (Qiagen, Valencia, CA, USA), and RNA integrity (RIN > 9.0) was assessed using a Bioanalyzer 2100 (Agilent Technologies, Santa Clara, CA, USA). The Rat Fatty Liver PCR array and Insulin Resistance PCR array (SABiosciences, Frederick, MD, USA) were used to profile the genes differentially expressed in liver and fat tissue, respectively, according to the manufacturer’s instructions. The complete list of genes assayed on the array is provided on the manufacturer’s website (http://www.sabiosciences.com/Metabolic_Diseases.php). For each plate, 0.5 μg of RNA was converted to double-stranded cDNA using the RT2 first strand synthesis kit (Qiagen). After mixing this with the SABiosciences RT2 qPCR master mix, the cDNA was pipetted into the 96-well profile plate and amplified on CFX96TM Real-Time PCR Detection System Bio-Rad Laboratories (Hercules, CA, USA). Data were normalised using lactate dehydrogenase A as an endogenous control, and fold-changes in expression were calculated using SABiosciences online software (http://pcrdataanalysis.sabiosciences.com/pcr/arrayanalysis.php).

Statistical analysis

Data were expressed as mean ± standard error (S.E.). Statistical comparisons were performed by one-way ANOVA followed by Duncan’s multiple range test. Values were considered statistically significant when p < 0.05.

Results

Effects on body weight, food intake, and organ weight

Body weight, food intake, and food efficiency ratio (FER) are presented in Table 1. The experimental groups were rearranged by initial body weight (between 269.0 g and 274.6 g) before HFD feeding began. After 16 weeks on the assigned diets, the weight of rats in the HFD groups was significantly different from the weights of the NF group rats. However, the HFA group rats showed a slight loss compared to that reported for the HF group rats. Although intake was significantly different in the HFD groups, the HFA and HF groups were similar. In addition, the FER did not differ significantly between the HF and HFA groups throughout the experimental period.

Table 1 Body weight, weight gain, intake and FER of rats
Full size table

Table 2 outlines liver and epididymal fat tissue weight in the rats. The HF group rats showed significant increases in liver and epididymal adipose weights compared to that reported for the NF group rats. However, supplementation of A. pilosa aqueous extract decreased liver weight significantly. Although there was no statistical significance, the HFA group rats showed a tendency of reduced epididymal adipose weight compared to that reported for the HF group rats.

Table 2 The liver and epididymal fat tissue weight of rats
Full size table

Serum glucose, insulin, and HOMA-IR

Levels of serum glucose, insulin, and HOMA-IR are shown in Table 3. Glucose levels did not differ significantly between the experimental groups. Insulin levels increased significantly in the HF group in comparison to that in the NF group. However, A. pilosa supplementation decreased insulin levels in the HFA group significantly. Consequently, the HOMA-IR in the HFA group was also restored to the levels seen in the NF group.

Table 3 The effect of A. pilosa on serum glucose, insulin, and HOMA-IR
Full size table

OGTT findings

OGTT results are shown in Fig. 1. After 5 weeks of administering the experimental diets, glucose levels in the HFA group were lower than levels in the HF group 30 min after glucose administration. The AUC was not significantly different between HFD-fed groups. At 15 weeks, glucose levels in the HFA group were lower than levels in the HF group 30, 60, and 120 min after glucose administration. The AUC decreased significantly as well.

Fig. 1
figure 1

Oral glucose tolerance test at (a) 5 and (b) 15 weeks. Data are expressed as Mean ± S.E. (n = 9–10). Abbreviations: NF, normal-fat diet; HF, high-fat diet; HFA, high-fat diet with 0.1% Agrimonia pilosa aqueous extract. Values with different letters are significantly different (p < 0.05) by Duncan’s multiple range test

Full size image

Serum IL-6, TNF-α, and adiponectin

The effect of A. pilosa on serum inflammation related proteins is shown in Table 4. Levels of IL-6 and TNF-α increased significantly in the HF group in comparison to that reported for the NF group. However, the HFA group showed a significant decrease. Adiponectin levels significantly decreased in the HF group compared with levels in the NF group, but increased approximately two-fold in the HFA group compared to that in the HF group.

Table 4 The effect of A. pilosa on serum IL-6, TNF-α, and adiponectin
Full size table

Liver histology using oil red O staining

We investigated the suppressive effect of A. pilosa aqueous extract on lipid accumulation. Liver sections from the NF group showed a normal architecture (Fig. 2a). However, liver sections from the HF group showed a marked rise in staining within the cytoplasm of hepatocytes, indicating lipid accumulation (Fig. 2b). Lipid accumulation was reduced by A. pilosa treatment (Fig. 2c). The steatosis grade scores were lower in the HFA group compared to the HF group (Fig. 2d).

Fig. 2
figure 2

Effect of A. pilosa on hepatic steatosis in rats fed a high-fat diet. Photomicrographs of Oil red O-stained liver samples from representative animals in the NF (a), HF (b), and HFA (c) groups (× 400). (d) Percentage of hepatic steatosis grade (0–3 scale) within each group (n = 9–10). Data are expressed as percentage within group. Hepatic steatosis was graded as 0 (fatty hepatocytes occupying < 5%), 1 (fatty hepatocytes occupying 5–33%), 2 (fatty hepatocytes occupying 34–66%), or 3 (fatty hepatocytes occupying > 66%) Abbreviations: NF, normal-fat diet; HF, high-fat diet; HFA, high-fat diet with 0.1% Agrimonia pilosa aqueous extract

Full size image

Real-time quantitative reverse transcription PCR

To identify inflammatory genes modulated by A. pilosa, we compared the hepatic gene expression profiles in the HF and HFA groups using the Rat Fatty Liver PCR array (SABiosciences). Quantitative RT-PCR array experiments showed that expression of most genes in the HFA group remained unchanged, by at least a 4-fold margin (Fig. 3a). However, A. pilosa treatment modulated several genes associated with insulin resistance and inflammation. Expression of the genes glucose-6-phosphate dehydrogenase (G6pd), interleukin 1 beta (Il1b), serpin peptidase inhibitor, clade E (nexin, plasminogen activator inhibitor type 1 [PAI-1]), member 1 (Serpine1), and tumor necrosis factor (TNF superfamily, member 2) (Tnf) was markedly downregulated in the HFA group. Although not statistically significant, Fatty acid binding protein 5 (Fabp5) and Interleukin 6 (Il6) expression decreased eight-fold and four-fold, respectively, after A. pilosa treatment, compared with their expression in the HF group (p = 0.10). Suppressor of cytokine signalling 3 (Socs3) was also downregulated three-fold in the HFA group.

Fig. 3
figure 3

Focused quantitative RT-PCR analysis of hepatic (a) and adipose (b) tissues (n = 4). Abbreviations: NF, normal-fat diet; HF, high-fat diet; HFA, high-fat diet with 0.1% Agrimonia pilosa aqueous extract. The scatter plot compares the normalised expression of every gene on the array between two groups by plotting them against one another to quickly visualize large gene expression changes. The central line indicates unchanged gene expression. Data were normalised using lactate dehydrogenase A as an endogenous control

Full size image

Expression profiles of genes in epididymal tissue of the HF and HFA groups were investigated using the Rat Insulin Resistance PCR array (SABiosciences). Expression of the gene encoding IL-6 was significantly downregulated in the HFA group (Fig. 3b).

Discussion

The present study was performed to investigate the effects of aqueous extract from A. pilosa on impaired glucose metabolism induced by HFD in rats. In the present study, the HF group rats had significantly higher body and liver weight, hepatic steatosis, impaired glucose tolerance, and increased insulin resistance compared to that reported for the NF group rats (p < 0.05). Inflammation in hepatic and adipose tissues was also induced by the HFD.

Excess calorie intake increases body weight and adipose tissue weight. Nutrient excess causes adipocyte signalling that results in inflammatory responses [17]. In mice, obese adipose tissue secretes inflammatory cytokines, TNF-α, and IL-6 [18]. In obese or HFD-fed mice, the macrophage population also increases in adipose tissues compared to that in lean controls, leading to increased cytokine expression [19]. These obesity-induced inflammatory responses may affect not only adipose tissue but important target organs, such as the liver, as well.

Obesity or HFD increases free fatty acid supply to the liver, resulting in a fatty liver and leading to hepatic inflammation through NF-κB activation and cytokine production [20]. Obese liver tissue shows an increased inflammatory cytokine expression. Although the liver is not infiltrated by macrophages in obesity-induced inflammation, hepatic inflammation is activated in macrophage-like Kupffer cells within the liver [21].

These inflammatory signals in adipose and hepatic tissues can activate c-jun N-terminal kinase (JNK) and inhibitor of κ kinase (IKK). These kinases may target insulin receptor substrate 1 (IRS-1) for serine phosphorylation, leading to inhibition of the insulin receptor signalling cascade. In the present study, the HF group showed higher adipose and liver weight, inflammation, and insulin resistance, which was confirmed by the OGTT and HOMA-IR.

However, supplementation with A. pilosa aqueous extract significantly decreased liver weight and serum inflammatory cytokine (TNF-α and IL-6) levels, while increasing the levels of the anti-inflammatory cytokine adiponectin. A. pilosa aqueous extract also reduced the expression of hepatic insulin resistance-related genes and hepatic and adipose tissue inflammation-related genes. These effects improved glucose tolerance and lowered insulin resistance in the HFA group (p < 0.05 vs. the HF group).

Adiponectin is an anti-inflammatory adipocytokine produced in adipose tissue. Kim et al. demonstrated that chronic overexpression of adipose tissue adiponectin decreased circulating IL-6 and TNF-α levels and reduced hepatic fat content, ameliorating insulin resistance [22]. Therefore, production of adiponectin may play a role in preventing local and systemic inflammation [23].

In our quantitative RT-PCR array experiments, expression of hepatic G6PD, which has been reported to be associated with insulin resistance [24], markedly decreased in the HFA group. Serpine1 encodes PAI-1, and elevated serum PAI-1 levels are strongly correlated with insulin resistance and liver steatosis [25]. As PAI-1 expression is regulated by pro-inflammatory cytokines, this is in accordance with our findings, where Il1b and Tnf expression was markedly downregulated in the HFA group. Socs3 expression was also downregulated in the HFA group, although not to a statistically significant extent. Socs3 has been reported to be highly expressed in the obese liver, and to bind to the insulin receptor, inducing insulin resistance [26]. Collino et al. [27] reported that pioglitazone administration reduced hepatic inflammatory responses in rats fed a high-cholesterol fructose diet for 15 weeks, and that reduced hepatic Socs3 expression was linked to a significant improvement in insulin resistance. Expression of the gene encoding IL-6 significantly decreased in the epididymal tissue of the HFA group. These results indicate that A. pilosa protected against HFD-induced insulin resistance by reducing the inflammatory response.

A. pilosa has been reported to exert nitric oxide-scavenging effects in lipopolysaccharide-stimulated RAW264.7 macrophages [13]. Although few previous reports have characterised the chemical components of A. pilosa, polyphenolic components such as flavonoids have been found [12, 28, 29]. In our previous study, flavonoids found in A. pilosa extract include apigenin glucuronide (21.81%), apigenin hexose (19.46%), and luteolin glucuronide (13.03%) [30]. The different molecular targets of dietary polyphenols, including apigenin and luteolin, and their anti-inflammatory effects have been well-reviewed [31]. It is expected that the positive effects of A. pilosa supplementation on insulin resistance can likely be attributed to these flavonoids, such as apigenin and luteolin, within A. pilosa. Further investigations to isolate and characterize the single compound of A. pilosa are needed.

These results suggest that A. pilosa is a healthful food for human that may potentially be used to treat obesity-related insulin resistance and metabolic syndrome. Although A. pilosa is edible wild plant, there is an urgent need for research to investigate the impact on human health due to the metabolic and cellular differences between rats and humans and difficulties to accurately extrapolate animal’s results to humans.

Conclusions

The results of the present study indicate that A. pilosa prevents inflammatory signaling and may ameliorate impaired glucose tolerance in HFD-fed rats. A. pilosa may potentially be used to treat obesity-related insulin resistance and metabolic syndrome.

Abbreviations

AUC:

Area under the curve

HF:

High-fat diet-fed group

HFA:

High-fat and Agrimonia pilosa aqueous extract-fed group

HFD:

High-fat diet

HOMA-IR:

Homeostasis model assessment of insulin resistance

IL:

Interleukin

NAFLD:

Nonalcoholic fatty liver disease

NASH:

Nonalcoholic steatohepatitis

NF:

Normal-fat diet-fed group

OGTT:

Oral glucose tolerance test

PAI-1:

Plasminogen activator inhibitor type 1

TNF:

Tumor necrosis factor

References

  1. Korean Center for Disease Control. 2014 National Health Statistics: Korea National Health and Nutrition Examination Survey. Seoul. 2015. https://knhanes.cdc.go.kr/knhanes/main.do. Accessed 29 Jun 2016.

  2. Kadowaki T, Hara K, Yamauchi T, Terauchi Y, Tobe K, Nagai R. Molecular mechanism of insulin resistance and obesity. Exp Biol Med (Maywood). 2003;228:1111–7.

    Article  CAS  Google Scholar 

  3. Goldstein BJ. Insulin resistance as the core defect in type 2 diabetes mellitus. Am J Cardiol. 2002;90:3g–10g.

    Article  CAS  PubMed  Google Scholar 

  4. Reaven GM. The insulin resistance syndrome: definition and dietary approaches to treatment. Annu Rev Nutr. 2005;25:391–406.

    Article  CAS  PubMed  Google Scholar 

  5. Utzschneider KM, Kahn SE. Review: the role of insulin resistance in nonalcoholic fatty liver disease. J Clin Endocrinol Metab. 2006;91:4753–61.

    Article  CAS  PubMed  Google Scholar 

  6. Mulhall BP, Ong JP, Younossi ZM. Non-alcoholic fatty liver disease: an overview. J Gastroenterol Hepatol. 2002;17:1136–43.

    Article  CAS  PubMed  Google Scholar 

  7. Korean National Statistical Office. Annual report on the cause of death statistics. Seoul. 2014. http://kosis.kr/index/index.jsp. Accessed 29 Jun 2016.

  8. Shoelson SE, Lee J, Goldfine AB. Inflammation and insulin resistance. J Clin Invest. 2006;116:1793–801.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Kadowaki T, Yamauchi T, Kubota N, Hara K, Ueki K, Tobe K. Adiponectin and adiponectin receptors in insulin resistance, diabetes, and the metabolic syndrome. J Clin Investig. 2006;116:1784.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Miyamoto K, Kishi N, Koshiura R. Antitumor effect of agrimoniin, a tannin of Agrimonia pilosa Ledeb., on transplantable rodent tumors. Jpn J Pharmacol. 1987;43:187.

    Article  CAS  PubMed  Google Scholar 

  11. He C, Ji X, Pan Y, Wang H, Wang K, Liang M, Yang L. Antioxidant activity of alcoholic extract of Agrimonia pilosa Ledeb. Med Chem Res. 2010;19:448–61.

    Article  CAS  Google Scholar 

  12. Jung M, Park M. Acetylcholinesterase inhibition by flavonoids from Agrimonia pilosa. Molecules. 2007;12:2130–9.

    Article  CAS  PubMed  Google Scholar 

  13. Taira J, Nanbu H, Ueda K. Nitric oxide-scavenging compounds in Agrimonia pilosa Ledeb on LPS-induced RAW264.7 macrophages. Food Chem. 2009;115:1221–7.

    Article  CAS  Google Scholar 

  14. Jung CH, Kim JH, Park SJ, Kweon DH, Kim SH, Ko SG. Inhibitory effect of Agrimonia pilosa Ledeb. On inflammation by suppression of iNOS and ROS production. Immunol Investig. 2010;39:159–70.

    Article  Google Scholar 

  15. Kim SM, Lee YM, Kim M-J, Nam S-Y, Kim S-H, Jang H-H. Effects of Agrimonia Pilosa Ledeb. Water extract on α-Glucosidase inhibition and glucose uptake in C2C12 skeletal muscle cells. Korean J Food & Nutr. 2013;26:806–13.

    Article  Google Scholar 

  16. Jang H-H, Park M-Y, Kim H-W, Lee Y-M, Hwang K-A, Park J-H, Park D-S, Kwon O. Black rice (Oryza Sativa L.) extract attenuates hepatic steatosis in C57BL/6 J mice fed a high-fat diet via fatty acid oxidation. Nutri & Metab. 2012;9:27.

    Article  CAS  Google Scholar 

  17. Gregor MF, Hotamisligil GS. Inflammatory mechanisms in obesity. Annu Rev Immunol. 2011;29:415–45.

    Article  CAS  PubMed  Google Scholar 

  18. Hotamisligil GS, Arner P, Caro JF, Atkinson RL, Spiegelman BM. Increased adipose tissue expression of tumor necrosis factor alpha in human obesity and insulin resistance. J Clin Invest. 1995;95:2409.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Weisberg SP, McCann D, Desai M, Rosenbaum M, Leibel RL, Ferrante AW. Obesity is associated with macrophage accumulation in adipose tissue. J Clin Invest. 2003;112:1796–808.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Cai D, Yuan M, Frantz DF, Melendez PA, Hansen L, Lee J, Shoelson SE. Local and systemic insulin resistance resulting from hepatic activation of IKK-β and NF-κB. Nat Med. 2005;11:183–90.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Baffy G. Kupffer cells in non-alcoholic fatty liver disease: the emerging view. J Hepatol. 2009;51:212–23.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Kim J-Y, van de Wall E, Laplante M, Azzara A, Trujillo ME, Hofmann SM, Schraw T, Durand JL, Li H, Li G. Obesity-associated improvements in metabolic profile through expansion of adipose tissue. J Clin Invest. 2007;117:2621–37.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Tilg H, Hotamisligil GS. Nonalcoholic fatty liver disease: cytokine-adipokine interplay and regulation of insulin resistance. Gastroenterol. 2006;131:934–45.

    Article  CAS  Google Scholar 

  24. Park J, Rho HK, Kim KH, Choe SS, Lee YS, Kim JB. Overexpression of glucose-6-phosphate dehydrogenase is associated with lipid dysregulation and insulin resistance in obesity. Mol Cell Biol. 2005;25:5146–57.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Juhan-Vague I, Alessi MC, Mavri A, Morange P. Plasminogen activator inhibitor-1, inflammation, obesity, insulin resistance and vascular risk. J Thromb Haemostasis. 2003;1:1575–9.

    Article  CAS  Google Scholar 

  26. Ueki K, Kondo T, Kahn CR. Suppressor of cytokine signalling 1 (SOCS-1) and SOCS-3 cause insulin resistance through inhibition of tyrosine phosphorylation of insulin receptor substrate proteins by discrete mechanisms. Mol Cell Biol. 2004;24:5434–46.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Collino M, Aragno M, Castiglia S, Miglio G, Tomasinelli C, Boccuzzi G, Thiemermann C, Fantozzi R. Pioglitazone improves lipid and insulin levels in overweight rats on a high cholesterol and fructose diet by decreasing hepatic inflammation. Brit J Pharmacol. 2010;160:1892–902.

    Article  CAS  Google Scholar 

  28. Xu X, Qi X, Wang W, Chen G. Separation and determination of flavonoids in Agrimonia pilosa Ledeb. By capillary electrophoresis with electrochemical detection. J Sep Sci. 2005;28:647–52.

    Article  CAS  PubMed  Google Scholar 

  29. Miyamoto K, Koshiura R, Ikeya Y, Taguchi H. Isolation of agrimoniin, an antitumor constituent, from the roots of Agrimonia pilosa Ledeb. Chem Pharm Bull. 1985;33:3977–81.

    Article  CAS  Google Scholar 

  30. Lee YM, Kim JB, Bae JH, Lee JS, Kim PS, Jang HH, Kim HR. Estrogen-like activity of aqueous extract from Agrimonia pilosa Ledeb. In MCF-7 cells. BMC Complement Altern Med. 2012;12:260.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Yoon J-H, Baek SJ. Molecular targets of dietary polyphenols with anti-inflammatory properties. Yonsei Med J. 2005;46:585–96.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

Not applicable.

Funding

This study was supported by a research project of the National Institute of Agricultural Science of the Rural Development Administration, Republic of Korea (project no. PJ01178701), and by a young researchers grant (to YML) from Seoul Women’s University (2015).

Availability of data and materials

All data generated or analysed during this study are included in this published article [and its Additional file].

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Authors and Affiliations

  1. Functional Food & Nutrition Division, National Institute of Agricultural Sciences, Rural Development Administration, Wanju, 55365, Republic of Korea

    Hwan Hee Jang, Song Yee Nam, Mi Ju Kim, Jung Bong Kim, Jeong Sook Choi & Haeng Ran Kim

  2. Division of Applied Food System, Major of Food and Nutrition, Seoul Women’s University, Seoul, 01797, South Korea

    Young Min Lee

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Contributions

HHJ performed the experiments and analysed the data; SYC and MJK conducted the animal experiments and analysed the data; JBK, JSC, and HRK participated in data interpretation and reviewed the manuscript; YML contributed to study design and wrote the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Young Min Lee.

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Ethics approval and consent to participate

This experimental design was approved by the Institutional Animal Care and Use Committee (IACUC) of the National Academy of Agricultural Science (reference number: NAAS-1203).

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The authors declare that they have no competing interests.

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Additional file

Additional file 1: Table S1.

Composition of experimental diets (g/kg diet). (DOCX 15 kb)

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Jang, H.H., Nam, S.Y., Kim, M.J. et al. Agrimonia pilosa Ledeb. aqueous extract improves impaired glucose tolerance in high-fat diet-fed rats by decreasing the inflammatory response. BMC Complement Altern Med 17, 442 (2017). https://doi.org/10.1186/s12906-017-1949-z

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  • DOI: https://doi.org/10.1186/s12906-017-1949-z

Keywords

  • Agrimonia Pilosa
  • Glucose tolerance
  • High-fat diet
  • Inflammation
  • Obesity

BMC Complementary Medicine and Therapies

ISSN: 2662-7671

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