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Tea polyphenols attenuate liver inflammation by modulating obesity-related genes and down-regulating COX-2 and iNOS expression in high fat-fed dogs

BMC Veterinary Research volume 16, Article number: 234 (2020) Cite this article

Abstract

Background

Tea polyphenols (TPs) attenuate obesity related liver inflammation; however, the anti-obesity effects and anti-inflammatory mechanisms are not clearly understood. This study aimed to determine whether the anti-obesity and anti-inflammatory TPs mechanisms associated with cyclooxygenase-2 (COX-2) and inducible nitric oxide synthase (iNOS) expression levels, and obesity-related gene response in dogs.

Results

Dogs fed TPs displayed significantly decreased (p < 0.01) mRNA expression of tumor necrosis factor-α (TNF-α), interleukin-1 beta (IL-1β), and interleukin-6 (IL-6) compared to dogs that consumed high-fat diet (HFD) alone. TPs significantly (p < 0.01) inhibited COX-2 and iNOS expression level, and decreased liver fat content and degeneration.

Conclusion

These results suggested that TPs act as a therapeutic agent for obesity, liver inflammation, and fat degeneration via COX-2 and iNOS inhibition, with TNF-α, IL-1β, and IL-6 involvement.

Background

Obesity is related to systemically present low-grade inflammation, and white adipose tissues that are defined as the abnormal accumulation of excessive fats in adipose tissue resulting from an imbalance between energy intake and expenditure [1, 2]. Moreover, obesity is characterized by changes of circulating hormones including Ghrelin, thyroid stimulating hormone and free triiodothyronine levels [3, 4], and nutrients including glucose and fatty acids, as well as other metabolic changes [5]. Obesity occurrence has increased globally over the past decades. Recently, obesity has a significant impact on humans, as it contributes to the development of metabolic and cardiovascular diseases [6]. The most effective treatment for obesity prevention is dietary control and physical exercise-based therapies combined with pharmacological therapies, as well as bariatric surgery, but different lifestyles do not allow most people access to proper obesity therapy [7, 8]. In contrast, many pharmacological therapies are available for obesity treatment, but their outcome is very limited and can involve many side effects [9]. Therefore, controlling obesity, a major cause of inflammation and cancer, with natural products and herbs has become increasingly popular [10].

Cyclooxygenase-2 (COX-2) is a vital enzyme involved in arachidonic acid metabolization [11]. In normal cell biology, the expression of COX-2 is low or unobservable, but during response to different stimuli, such as cytokines and growth factors, it quickly increases [12]. Nuclear factor-ĸB (NF-ĸB) has been shown to play an important role in the regulation of cellular COX-2 expression [13]. COX-2 expression is regulated at both the transcriptional and posttranscriptional level, and COX-2 and inducible nitric oxide synthase (iNOS) are the two main inflammatory mediators for inflammation and cancer [14]. Numerous upstream signaling pathways, including mitogen-activated protein kinases and phosphatidylinositol 3 kinase pathways, have been involved COX-2 expression regulation at various levels [15].

Green tea and its major polyphenolic components (EGCG (−) epigallocatechin gallate; EGC (−) epigallocatechin; ECG (−)-epicatechin gallate; EC (−)-epicatechin) catechins (Fig. 1) possess many potential health benefits including anti-inflammatory, antioxidant, anti-carcinogenic, and cardio-protective effects [16,17,18,19]. Many studies highlight the beneficial effects of TPs on increasing energy expenditure and decreasing fat mass, as well as helping in weight maintenance after weight control programs [20]. The catechin content of green tea is high, and may prevent a number of chronic disorders when ingested regularly, including protective effect in autoimmune disorders such as Sjogren’s syndrome, uveitis, rheumatoid arthritis, and experimental autoimmune encephalomyelitis [21]. TPs consumption has also increased fat oxidation, suppressed adipocyte differentiation and proliferation, and inhibited fat absorption [22, 23]. Research on the relationship between tea ingestion and obesity has suggested that tea polyphenols exert anti-obesity properties by stimulating hepatic lipid metabolism and thermogenesis, which prevent gastric and pancreatic lipases as well as modulating appetite [24]. However, tea consumption-induced variations in serum and hepatic metabolites associated with obesity and obesity-related dysfunction are not obviously implicit, despite an accumulation of physiological data.

Fig. 1
figure 1

Polyphenolic components of TPs

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Hepatic steatosis, also called non-alcoholic fatty liver disease (NAFLD), is a common pathological change in the liver which, together with low-grade inflammation, is related to obesity and metabolic disorders [25, 26]. TPs protect against NAFLD by decreasing lipid accumulation in the liver and injury in HFD C57BL/6 J obese mice. A long period of EGCG treatment reduced obesity development, and symptoms related to metabolic diseases and fatty liver through reduced lipid absorption and decreased inflammatory cytokines such as TNF-α, IL-1β, and IL-6 [27].

In this study, we investigated whether the anti-obesity and anti-inflammatory properties of TPs are associated with the inhibition of COX-2 and iNOS expression through the modulation of signaling pathways that regulate COX-2 gene expression with pro-inflammatory cytokines response as well as symptoms of metabolic syndrome and inflammation in the liver of dogs after fed an HFD or an HFD combined with TPs.

Results

Effects of TPs and HFD on BW

The body weight (BW) of HFD fed dogs resulted in a 3.37 kg increase (12.20 ± 1.0 to 16.57 ± 1.3 kg), differing significantly (p < 0.05) from the ND group (Fig. 2). In contrast, the TPs25% and TPs50% groups exhibited lower weight gain than the HFD group. Comparison of the TPs50% group with the HFD group showed a significant (p < 0.05) BW reduction from 16.57 ± 1.3 to 11.60 ± 0.7 kg after TPs treatment.

Fig. 2
figure 2

Effects of TPs on body weight during the 12 week treatment period. Body weight was higher in the HFD group compared to the TPs treatment groups. Values are expressed as the mean ± SD. * p < 0.05 vs. ND group; # p < 0.05 vs. HFD group

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Effect of TPs on Lee index, liver weight, and liver coefficient

The Lee index of the HFD group (8.33%) was significantly higher than that of the ND group (p < 0.05). Compared to the HFD group, the Lee index of the TPs25% and TPs50% groups show a significant (p < 0.05) reduction of 9.42 and 8.17%, respectively presented in Fig. 3a. These results indicated that the addition of 25 and 50% TPs to an HFD inhibited an increased Lee index. Figure 3b showed that the liver weight of the HFD group was 0.31% higher than that of the ND group, but the difference was not significant (p > 0.05). The TPs25% and TPs50% groups displayed a liver weight reduction of 19.48 and 22.67%, respectively, when compared to the HFD group. The value of the TPs50% group was significantly lower than that of the HFD group (p < 0.05). These results indicated that the addition of 25 and 50% TPs in an HFD inhibited diet-induced increasing canine liver weight. As shown in Fig. 3c, the liver coefficient of the HFD group was 0.64% higher than that of the ND group, but the difference was not statistically significant (p > 0.05). The TPs25% and TPs50% groups showed an 8.81 and 8.29% decrease, respectively, when compared with the HFD group. These results demonstrated that adding 25 and 50% tea polyphenols to an HFD inhibited an increased liver coefficient, but did not alter the liver coefficient.

Fig. 3
figure 3

Effects of TPs on Lee index, liver weight, and liver coefficient during the 12 week treatment period. Note: Compared to the ND group, data from the HFD group marked with # indicated a significant difference at p < 0.05; compared to the HFD group, data from either TPs group marked with * indicated significance at p < 0.05

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Effect of TPs on serum biochemical parameters

The data in supplementary Tables S1-S4 showed that, at week 0 of the experimental trials, there was no significant difference between total cholesterol (TC), total glyceride (TG), low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) level of all the groups (p > 0.05). After 12 weeks of treatment, the serum TC of the HFD group was significantly (p < 0.05) higher than that of the ND group, 41.70 and 17.34%, respectively. Compared to the HFD group, the TC level of the TPs25% and TPs50% groups decreased by 6.7 and 11.19%, respectively, but the difference was not significant (p > 0.05) presented in supplementary Table S1. During week 0 of the experimental trials, the serum TG level in all groups was similar; however, at week 12th, the serum TG of the HFD group was significantly higher than that of the ND group (p < 0.05), 93.34 and 28.89%, respectively. Compared with the HFD group, the addition of 25 and 50% TPs significantly decreased (p < 0.05) the TG level in serum by 13.79 and 17.24%, respectively (Supplementary Table S2). There was no significant difference (p > 0.05) in serum LDL-C between the HFD group and the ND group or both TPs groups at week 0 (Supplementary Table S3). At week 12th, the serum LDL-C of the HFD group was significantly (p < 0.05) higher than that of the ND group, 52.63 and 6.25%, respectively. The 25 and 50% TP treatment groups showed 20.83 and 26.08% lower LDL-C levels than that of the HFD group, respectively. Supplementary Table S4 showed that the serum HDL-C levels of the dogs in each group were similar during week 0; and there was no significant difference between the HFD and ND groups (p > 0.05). At week 12th, the serum HDL-C was significantly lowered in the HFD group than in the ND group (p < 0.05). The HDL-C level was reduced to 14.34% in the HFD group, and increased 27.57% in the ND group. The percentage was reduced to 26.77% when compared both the HFD and ND groups. The HDL-C level was higher 16.30 and 22.46%, respectively in both TP groups than in the HFD group, but the difference was non-significant (p > 0.05).

TPs inhibit COX-2 and iNOS expression in liver tissue

Oral supplementation of TPs inhibited COX-2 expression in dogs liver tissue when compared with HFD group, which displayed significantly increased COX-2 expression (p < 0.05). Further investigation to determine whether iNOS associated with the TPs mediated suppression of nitric oxide (NO) production showed that iNOS levels were significantly inhibited (p < 0.05) in the TPs50% group after 12 weeks of treatment (Fig. 4).

Fig. 4
figure 4

Effects of TPs and an HFD on COX-2 and iNOS expression level. Identical loading was confirmed by re-probing the membrane with β-actin. All values were indicated as the mean ± SEM. *, (p < 0.05) and **, (p < 0.01). The experiment was repeated three times with similar results

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Effects of TPs on inflammatory cytokines mRNA expression

Levels of TNF-α, IL-1β, and IL-6 inflammatory cytokines produced by liver tissue are presented in Fig. 5a-c. Inflammatory cytokine mRNA expression significantly increased (p < 0.05) in the HFD group compared to the ND group. However, the TPs25% and TPs50% groups showed a significantly decreased expression (p < 0.01) compared to the HFD group throughout the entire experimental period, and a greater reduction was seen in the TPs50% group.

Fig. 5
figure 5

Effect of an HFD and TPs supplementation on relative TNF-α, IL-1β, and IL-6 mRNA expression levels in liver tissue. Relative mRNA expression levels were determined by qRT-PCR. Data were presented as means ± SD. Values with *, (p < 0.05) and **, (p < 0.01) were considered statistically significant difference between groups

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Histological liver and adipose tissue analysis

In the hematoxylin and eosin (H&E) staining examination, pathological liver symptoms were examined in the liver of HFD dogs. The hepatic cells were observed to be seriously collapsed; the number of fat droplets and distorted cells was significantly larger. However, the ND group exhibited fine architectural characteristics, a low volume of fatty cells and no fat degeneration. The dogs fed with TPs25%, the degeneration of the liver cells was less and the area of fatty cells was decreased than in the HFD group. The TPs50% was found to be the most effective, as shown in Fig. 6a-d).

Fig. 6
figure 6

Histological examination of dog’s liver [Magnification 100X; H&E staining]: a normal diet (ND) group; b high-fat diet (HFD) group; c tea polyphenols 25% (TPs25%) group; d tea polyphenols 50% (TPs50%) group. The black arrows indicate fat droplets

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As shown in (Fig. 7a, b), the size and the volume of white fat cells were considerably larger in the HFD group than in the ND group. By contrast, the size and volume of fat cells were reduced in TPs25% and TPs50%, compared to the HFD group (Fig. 7c, d).

Fig. 7
figure 7

Histological examination of dog’s adipose tissue [Magnification 100X; H&E staining]: a normal diet (ND) group; b high fat diet (HFD) group; c tea polyphenols 25% (TPs25%) group; d tea polyphenols 50% (TPs50%) group

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Discussion

Numerous experimental and epidemiological studies have associated tea consumption with several biological and pharmacological functions [28, 29]. The present study demonstrated that an HFD intake induced dog’s obesity, indicators of fatty liver disease, and inflammatory cytokine expression. In contrast, both TPs administrations showed a BW reduction, decreased indicators of fatty liver disease, and reduced inflammatory cytokine expression with expression level inhibition of some genes. Many studies have revealed that an HFD significantly increases adipose tissue accumulation, owing to increasing energy availability that leads to increased BW [30, 31].

In the current research, both TPs treatments exerted beneficial effects against obesity. BW gain was significantly decreased in TPs groups (25 and 50%), resulting in a reduction of liver fatty acid as well as inhibiting the increased in canine liver weight and Lee index seen in the HFD group. Similar previously reported results [32] demonstrate that an HFD induces more severe diseases than an ND and that EGCG treatment can alleviate these symptoms, as well as reduce BW and body fat accumulation. The effects of green tea and TPs have been examined in a number of animal obesity models. Powdered green tea (130 mg) administered to male Zucker rats fed a diet containing 50% sucrose and 15% butter very quickly result in a BW reduction [33]. In our study, we administered TPs25% and TPs50% for 12 weeks, and found a significant BW reduction from 16.57 ± 1.3 HFD alone to 13.50 ± 2.0 TPs25% and 11.60 ± 0.7 kg TPs50%, while the dogs fed an HFD increased their BW from 13.20 ± 1.0 ND to 16.57 ± 1.3 kg (p < 0.01; Fig. 2). These results are further supported by another study [34], in which green tea treatment (2% in the diet) reduced body fat accumulation in Sprague-Dawley rats after 14 days, but did not alter BW gain. In the present study, the BW was measured by digital balance and not the body condition score or body fat index is because the large dogs were difficult to handle as well as the dogs used in the present study were non-cooperative during the experimental trials.

There have been numerous epidemiological and experimental examinations of the effects of TPs on plasma and serum lipid profiles [35,36,37], with inconsistent outcomes. For example, in a rodent study, Sayama and co-workers [38] found that green tea lowered triacylglycerol (TAG) levels but did not change TC concentrations. The previous study has shown that the severity of EGCG induced toxicity seems to be a function of dose, administration route and period of treatment [39, 40]. Dietary dosages of green tea extract can improve lipid profile and insulin sensitivity and change the genes expression involved in the homeostasis of glucose and lipid [41]. However, Ashida and colleagues [42] stated that green tea supplementation reduced TC, HDL-cholesterol, LDL-cholesterol, and non-esterified fatty acid levels without changing TAG concentrations. The present study found a marked decrease in serum TC and TG concentrations in the TP groups related to decreasing LDL-C levels in dogs. However, no significant difference was observed in HDL-C level.

COX-2 levels are an important tool for detecting inflammatory diseases and inhibiting cancer [43]. Increased COX-2 expression is found in a wide array of inflammatory conditions and human cancers, including lung and liver cancers [44]. One study shows that increased COX-2 expression is related to tumor invasion [45]. Our results indicate that TPs decreased COX-2 and iNOS expression in canine liver tissues. Extreme and continued NO generation produced by increased iNOS expression has been involved in inflammation and tumorigenesis, while COX-2 facilitated prostaglandin production has been revealed to trigger cell proliferation, angiogenesis, and invasion in cancer improvement [46]. Meanwhile, chronic inflammation is inclined to malignancy; the inhibition of COX-2 by TPs seems likely to contribute to both the anti-obesity and anti-inflammatory responses induced by an HFD. The proposed mechanism for this protection is discussed in Fig. 8.

Fig. 8
figure 8

Proposed mechanism of protection by TPs in an HFD induced obese dog’s liver model. ↓ Designate downregulation or decreased expression of protein. AKT, Ak transforming; IKBα, I-kappa-B-alpha; NF-kB, nuclear factor- kappa B; NO, nitric oxide; COX-2, cyclooxygenase-2; PGE-2, prostaglandin E2

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Numerous animal studies indicate that excessive body fat negatively affects the immune function of obese individuals [47, 48]. Furthermore, alterations in the immune function of obese animals are considered to be significant in producing pathophysiological obesity effects. Green tea supplementation in a study showed that, of all of the major green tea components, catechins were responsible for the suppression of BW gain and adipose tissue accumulation; however, catechin supplementation (0.3% of diet) in mice did not change these parameters [49, 50]. In this study, the anti-obesity and anti-inflammatory effects of TPs were evaluated by various approaches in a dog model. Elevated pro-inflammatory cytokines have been shown to play a significant pathogenic role in liver inflammation. In this study, we found that TNF-α expression was highly increased (p < 0.05) in the HFD group compared to the ND group after 12 weeks, but expression was reduced in the TPs25% and TPs50% groups. IL-6 and IL-1β mRNA expression also significantly decreased (p < 0.01) in both TPs groups compared to the HFD group. In our previous study, we also demonstrated that TNF-α, IL-6 and IL-1β mRNA gene expression were significantly decreased by green tea polyphenols in the intestinal epithelial layer of canines [18]. These results suggested the protective effects of TPs on immunological liver inflammation act by inhibiting inflammatory cytokine expression.

A non-alcoholic fatty liver disease is the hepatic expression of a metabolic syndrome [51]. During this disease, the patient has a higher risk of vascular disorders and coronary disease because of the primary metabolic illness [52]. An increased mortality rate was found in the patients with cirrhosis symptoms. The accumulation of fats in the liver is usually related to a cluster of metabolic diseases [53]. An HFD has previously caused metabolic diseases by increasing fat oxidation and decreasing fat storage because of high satiety [54]. We demonstrated that dogs fed an HFD showed collapsed hepatic cells and increased number of fat droplets, compared to ND group which displayed normal architectural characteristics. Furthermore, TPs decreased the area of fatty cells with less degeneration of the liver cells. Interestingly, these results support the previous study conducted by Han et al. in a mice model feed with dietary fibers [55]. In the present study, the TPs treatments enhanced liver fat reduction and reduced liver inflammation by reducing pro-inflammatory cytokine expression. The previously reported consumption of an HFD was shown to contribute to obesity and increase the risk of NAFLD in obese individuals [56].

Conclusions

These findings indicate the potential of TPs in suppressing liver inflammation and fat degeneration induced by an HFD. We demonstrated that TPs down-regulate COX-2 and iNOS expression levels with an inflammatory cytokine response in liver tissues. This indicates that TPs supplementation could provide a therapeutic agent for the treatment of obesity and obesity-related inflammation by reducing weight gain and liver weight, and inhibiting fat degeneration via anti-oxidant action. Our research findings provide novel insights that may be useful to the fields of obesity and liver inflammation management, both of which would benefit from an effective treatment with no known side effects.

Methods

Samples preparation

The polyphenolic components, EGC, EGCG, GCG, and ECG (Table 1), present in tea were detected via a photodiode array of high-performance liquid chromatography for rapid TP determination, purity > 98.50%) provided by the Wuhu Tianyuan Science and Technology Development Co., Ltd., Anhui Province, China. TPs were separated on a C18 RP-column by gradient elution using mixed solutions of mobile phase A and B in different quantities. Mobile phase A was a solution of methanol and formic acid mixed in the ratio of 99.7 to 0.3 by volume. Mobile phase B was a formic acid solution, containing 3 vol of formic acid in 1 l of solution. The flow rate of mobile phase was set at 1.0 ml/min, the column temperature was 40 °C, and the UV-detection wavelength was 280 nm.

Table 1 The major contents of TPs used in this experiment (purity> 98.50%)
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Animals and feed intake

The experimental protocol was approved by the Anhui Agricultural University Animal Care and Institutional Animal Ethical Committee (ZXD-C2018815), Hefei, China. Sixteen clinically healthy male beagle dogs (13–14 months old) with mean BW of 12.09 ± 0.4 kg, and identical parity were purchased from Jiangsu Yadong Experimental Animal Research Institute Co., Ltd. The dogs were individually housed in different rooms inside cages in the animal hospital of Anhui Agricultural University, Hefei, China under controlled conditions (15–20 °C, 98% relative humidity, and a 12 h light-dark cycle) for the entire experimental period. Male dogs were selected to reduce distinctions in diet consumption due to ovarian hormones, in addition to their growing faster than females [57]. The dog’s food tray was used to feed the dogs twice a day, in the morning and evening by mixing of TPs and HFD in their standard chow. The BW was measured weekly via digital balance. Diet composition and major components are described in Table 2.

Table 2 Major components g/kg and the composition of diet used in this study
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Obesity induction and TPs treatment

The dogs were initially maintained on a normal diet (ND) for a 4 week acclimatization period (3.885 kcal/day, 39.4% carbohydrates, 32.2% fats, and 28.4% protein). After acclimatization, the dogs were randomly divided into four groups, ND, HFD, TPs25%, and TPs50% (four dogs per group). The first two groups were fed ND standard chow or an HFD, respectively, both served as control groups until the end of study. The remaining two groups were co-administered either low dose (TPs25%; 0.25 g/kg BW) or high dose (TPs50%; 0.50 g/kg BW) TPs with an HFD. The ND group was continually fed commercial normal chow, while the HFD supplementation consisted of 5530 kcal/day (27.4% carbohydrates, 53.0% fats, and 19.6% proteins) for 12 weeks, as this period is sufficient to observe significant increases in adiposity and BW [58]. The HFD was formulated and administered as previously reported [59], with some modification. Dogs with 10% BW above the maximum BW of ND dogs were considered obese after HFD administration [60].

Sample collection

At the end of the trials (12 weeks), all dogs were anesthetized with xylazine hydrochloride (1.5 mg/kg, IM), and (20 mg/kg, IV) thiopental sodium (Abbott). Blood samples were collected from the cephalic vein, and serum was separated and kept at − 80 °C for further analysis. After blood sampling collection, all dogs were euthanized with a lethal dose of thiopental injection. Liver sample was collected with microscopic slides at 0 °C, frozen on dry-ice, and stored at − 80 °C until analysis of inflammatory cytokines and protein expression by quantitative real-time PCR or western blotting.

Calculation of Lee index, liver weight, and their coefficient

The Lee index and liver coefficient were calculated by measuring dog length from the nasal cavity to the anal cavity, and the body weight. The following formulae were applied to calculate the Lee index and liver coefficient:

$$ \mathrm{Lee}\ \mathrm{index}\ \left(\mathrm{Obesity}\ \mathrm{assessment}\ \mathrm{index}\right)=\sqrt[3]{~} \left(\mathrm{weight}\ \left(\mathrm{g}\right)/\right(\mathrm{body}\ \mathrm{length}\ \left(\mathrm{cm}\right)\times 103 $$
(1)
$$ \mathrm{Liver}\ \mathrm{coefficient}=\mathrm{hepatic}\ \mathrm{weight}\ \left(\mathrm{g}\right)\div \mathrm{dog}\ \mathrm{weight}\ \left(\mathrm{g}\right)\times 100\% $$
(2)

Determination of serum biochemical indicators

Blood samples were subsequently collected biweekly after all dogs had fasted overnight. Samples were taken under ketamine and xylazine anesthesia and during the end of the induction, and treatment period. The collected blood was centrifuged for 10 min at 3500 rpm at room temperature, and the serum was collected and stored at − 80 °C for biochemical analysis. TC was determined by the cholesterol oxidase method and TG was determined by the GPO-PAP method. The LDL-C and HDL-C were determined using the scavenging method. The assay kits for these methods were purchased from Elabscience Biotechnology Co., Ltd.

Western blot analysis

The collected liver samples were washed twice with cold phosphate-buffered saline at 800×g for 10 min. Total protein was extracted using a radio-immunoprecipitation assay buffer and the protein concentration was measured by the BCA method. The proteins were separated by 10% SDS-PAGE and transferred to polyvinylidene difluoride membranes (Shanghai Jinsheng Biological Engineering Co., Ltd). The membranes were blocked with 50% bovine serum albumin containing 0.05% Tween-20 in Tris buffered-saline for 4 h at room temperature. After 4 h, the polyvinylidene difluoride membrane was incubated with the primary antibody for the whole night. The membranes were then washed three times (5 min each), and incubated with secondary antibodies for 45 min at room temperature. The protein bands for COX-2, iNOS, and β-actin (Elabscience Biotechnology Co., Ltd) were identified with a chemiluminescence western blot detection system (Bio-Rad, Hercules, CA, USA).

Quantitative real-time PCR (qRT-PCR) assay

The expressions of inflammatory cytokines (TNF-α, IL-1β, and IL-6) in the liver were measured by qRT-PCR. Total RNA was extracted from liver tissue using Trizol reagent (Takara, Dalian, China). The reverse transcription system (TaKaRa, Dalian, China) was used to reverse transcribe the total RNA. The relative mRNA expression levels of inflammatory cytokines were measured with SYBR Green (TaKaRa, Dalian, China) in an ABI 7900 Fast Real-Time PCR system thermal cycler (Applied Biosystems). Each sample was amplified by primer and reference gene primer respectively, and each sample was assayed three times. The amplification system (20 μl) was established according to the manufacturer’s instructions. The following program was used for qRT-PCR: pre-denaturation (95 °C, 15 min), 40 cycles of denaturation (95 °C, 10 s), annealing (55 °C, 20 s), extension (72 °C, 32 s), and fluorescence signal acquisition. The primer sequences for IL-1β, IL-6, and TNF-α are shown in Table 3. The mRNA expression of each gene was normalized to glyceraldehyde 3-phosphate dehydrogenase (GAPDH). Statistical analyses were performed based on ΔCt (Cttarget gene – CtGAPDH). Data are presented as 2−ΔΔCt.

Table 3 Sequences of the oligonucleotide primer used for quantitative real-time PCR
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Liver and adipose tissue histopathology

The liver and adipose tissue (subcutaneous abdominal region) samples collected from all groups were fixed in 0.01 M phosphate-buffered 10% formalin solution. The tissues were fixed, and then embedded in paraffin. Histological sections 5 μm thick were cut and stained with H&E for histopathological examination.

Statistical analysis

The data were analyzed with SPSS 17.0 statistical software (SPSS Inc., Chicago, IL, USA), and Graph Pad Prism statistics software package, version 6.0, for Windows (Grappa Software, San Diego, CA, USA). The data were presented as the mean ± SD. Statistical differences were established by one-way analysis of variance. Quantity one software (Bio-Rad) was used to analyze the protein band intensity. Values were considered statistically significant when p < 0.05, or highly significant when p < 0.01.

Availability of data and materials

The data used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

TPs:

Tea polyphenols

COX-2:

Cyclooxygenase-2

iNOS:

Inducible nitric oxide synthase

TNF-α:

Tumor necrosis factor-α

IL-1β:

Interleukin-1 beta

NF-ĸB:

Nuclear factor-ĸB

NAFLD:

Non-alcoholic fatty liver disease

BW:

Bodyweight

TC:

Total cholesterol

TG:

Total glyceride

LDL-C:

Low-density lipoprotein cholesterol

HDL-C:

High-density lipoprotein cholesterol

qRT-PCR:

Quantitative real-time polymerase chain reaction

GAPDH:

Glyceraldehyde 3-phosphate dehydrogenase

References

  1. Bullo M, Garcia-Lorda P, Megias I, Salas-Salvado J. Systemic inflammation, adipose tissue tumor necrosis factor, and leptin expression. Obes Res. 2012;11(4):525–31.

    Google Scholar 

  2. Fenton JI, Nunez NP, Yakar S, Perkins SN, Hord NG, Hursting SD. Diet-induced adiposity alters the serum profile of inflammation in C57BL/6N mice as measured by antibody array. Diabetes Obes Metab. 2010;11(4):343–54.

    Google Scholar 

  3. Alvarez-Castro P, Sangiao-Alvarellos S, Brandon-Sanda I, Cordido F. Endocrine function in obesity. Endocrinol Nutr. 2011;58(8):422–32.

    CAS  PubMed  Google Scholar 

  4. Jia WP, Wang C, Jiang S, Pan JM. Characteristics of obesity and its related disorders in China. Biomed Environ Sci. 2010;23(1):4–11.

    CAS  PubMed  Google Scholar 

  5. Jung UJ, Choi MS. Obesity and its metabolic complications: the role of adipokines and the relationship between obesity, inflammation, insulin resistance, dyslipidemia and nonalcoholic fatty liver disease. Int J Mol Sci. 2014;15(4):6184–223.

    PubMed  PubMed Central  Google Scholar 

  6. Lumeng CN, Saltiel AR. Inflammatory links between obesity and metabolic disease. J Clin Invest. 2011;121(6):2111–7.

    CAS  PubMed  PubMed Central  Google Scholar 

  7. Jakicic JM, Otto AD. Physical activity considerations for the treatment and prevention of obesity. Am J Clin Nutr. 2005;82(1 supply):226S–9S.

    CAS  PubMed  Google Scholar 

  8. Nguyen N, Varela J. Bariatric surgery for obesity and metabolic disorders: state of the art. Nat Rev Gastroenterol Hepatol. 2017;14(3):160–9.

    PubMed  Google Scholar 

  9. Montan PD, Sourlas A, Olivero J, Silverio D, Guzman E, Kosmas EC. Pharmacologic therapy of obesity: mechanisms of action and cardio metabolic effects. Ann Transl Med. 2019;7(16):393.

    CAS  PubMed  PubMed Central  Google Scholar 

  10. Grant R, Youm YH, Ravussin A, Dixit VD. Quantification of adipose tissue leukocytosis in obesity. Methods Mol Biol. 2013;1040:195–209.

    PubMed  PubMed Central  Google Scholar 

  11. Rouzer CA, Marnett LJ. Cyclooxygenases: structural and functional insights. J Lipid Res. 2009;50(4):S29–34.

    PubMed  PubMed Central  Google Scholar 

  12. Pengb G, Dixon DA, Muga SJ, Smith TJ, Wargovich MJ. Green tea polyphenol (−)-epigallocatechin-3-gallate inhibits cyclooxygenase-2 expression in colon carcinogenesis. Mol Carcinog. 2006;45(5):309–19.

    Google Scholar 

  13. Kojima M, Morisaki T, Izuhara K, Uchiyama A, Matsunari Y, Katano M, Tanaka M. Lipopolysaccharide increases cyclo-oxygenase-2 expression in a colon carcinoma cell line through nuclear factor-kappa B activation. Oncogene. 2000;19(9):1225–31.

    CAS  PubMed  Google Scholar 

  14. Zhu Y, Zhu M, Lance P. iNOS signaling interacts with COX-2 pathway in colonic fibroblasts. Exp Cell Res. 2012;318(16):2116–27.

    CAS  PubMed  Google Scholar 

  15. Liu W, Reinmuth N, Stoeltzing O, Parikh AA, Tellez C, Williams S, Jung YD, Fan F, Takeda A, Akagi M. Cyclooxygenase-2 is up-regulated by interleukin-1 beta in human colorectal cancer cells via multiple signaling pathways. Cancer Res. 2003;63(13):3632–6.

    CAS  PubMed  Google Scholar 

  16. Yang CS, Wang X, Lu G, Picinich SC. Cancer prevention by tea: animal studies, molecular mechanisms and human relevance. Nat Rev Cancer. 2009;9(6):429–39.

    CAS  PubMed  PubMed Central  Google Scholar 

  17. Hiningerfavier I, Benaraba R, Coves S, Anderson RA, Roussel AM. Green tea extract decreases oxidative stress and improves insulin sensitivity in an animal model of insulin resistance, the fructose-fed rat. J Am Coll Nutr. 2009;28(4):355–61.

    CAS  Google Scholar 

  18. Li Y, Rahman SU, Huang Y, Zhang Y, Ming P, Zhu L, Chu X, Li J, Feng S, Wang X, Wu J. Green tea polyphenols decrease weight gain, ameliorate alteration of gut microbiota, and mitigate intestinal inflammation in canines with high-fat-diet-induced obesity. J Nutr Biochem. 2019;78(2020):108324.

    PubMed  Google Scholar 

  19. Rahman SU, Li Y, Huang Y, Zhu L, Feng S, Wu J, Wang X. Treatment of inflammatory bowel disease via green tea polyphenols: possible application and protective approaches. Inflammopharmacol. 2018;26(2):319–30.

    CAS  Google Scholar 

  20. Kao YH, Hiipakka RA, Liao S. Modulation of obesity by a green tea catechin. Am J Clin Nutr. 2000;72(5):1232–4.

    CAS  PubMed  Google Scholar 

  21. Wu D, Wang J, Pae M, Meydani SN. Green tea EGCG, T cells, and T cell-mediated autoimmune diseases. Mol Asp Med. 2012;33(1):107–18.

    CAS  Google Scholar 

  22. Huang J, Wang Y, Xie Z, Zhou Y, Zhang Y, Wan X. The anti-obesity effects of green tea in human intervention and basic molecular studies. Eur J Clin Nutr. 2014;68(10):1075–87.

    CAS  PubMed  Google Scholar 

  23. Rains TM, Agarwal S, Maki KC. Antiobesity effects of green tea catechins: a mechanistic review. J Nutr Biochem. 2011;22(1):1–7.

    CAS  PubMed  Google Scholar 

  24. Lin JK, Linshiau SY. Mechanisms of hypolipidemic and anti-obesity effects of tea and tea polyphenols. Mol Nutr Food Res. 2006;50(2):211–7.

    CAS  PubMed  Google Scholar 

  25. Newmark HL, Yang K, Lipkin M, Kopelovich L, Liu Y, Fan K, Shinozaki H. A Western-style diet induces benign and malignant neoplasms in the colon of normal C57Bl/6 mice. Carcinogenesis. 2001;22(11):1871–5.

    CAS  PubMed  Google Scholar 

  26. Farrell GC, Larter CZ. Nonalcoholic fatty liver disease: from steatosis to cirrhosis. Hepatol. 2010;43(2 Supply):S99–S112.

    Google Scholar 

  27. Bose M, Lambert JD, Ju J, Reuhl KR, Shapses SA, Yang CS. The major green tea polyphenol, (−)-epigallocatechin-3-gallate, inhibits obesity, metabolic syndrome, and fatty liver disease in high-fat-fed mice. J Nutr. 2008;138(9):1677–83.

    CAS  PubMed  PubMed Central  Google Scholar 

  28. Duffy SJ, Keaney JF, Holbrook M, Gokce N. Short- and long-term black tea consumption reverses endothelial dysfunction in patients with coronary artery disease. Circulation. 2001;104(2):151–6.

    CAS  PubMed  Google Scholar 

  29. Steptoe A, Gibson EL, Vuononvirta R, Hamer M, Wardle J, Rycroft JA, Martin JF, Erusalimsky JD. The effects of chronic tea intake on platelet activation and inflammation: a double-blind placebo controlled trial. Atherosclerosis. 2007;193(2):277–82.

    CAS  PubMed  Google Scholar 

  30. Hariri N, Thibault L. High-fat diet-induced obesity in animal models. Nutr Res Rev. 2010;23(2):270–99.

    CAS  PubMed  Google Scholar 

  31. Reuter TY. Diet-induced models for obesity and type 2 diabetes. Drug Discov Today Dis Models. 2008;4(1):3–8.

    Google Scholar 

  32. Chen YK, Cheung C, Reuhl KR, Liu AB, Lee MJ, Lu YP, Yang CS. Effects of green tea polyphenol (−)-Epigallocatechin-3-gallate on a newly developed high-fat/Western-style diet-induced obesity and metabolic syndrome in mice. J Agr Food Chem. 2011;59(21):11862–71.

    CAS  Google Scholar 

  33. Hasegawa N, Yamda N, Mori M. Powdered green tea has antilipogenic effect on Zucker rats fed a high-fat diet. Phytother Res. 2010;17(5):477–80.

    Google Scholar 

  34. Choo JJ. Green tea reduces body fat accretion caused by high-fat diet in rats through beta-adrenoceptor activation of thermogenesis in brown adipose tissue. J Nutr Biochem. 2003;14(11):671–6.

    CAS  PubMed  Google Scholar 

  35. Ryu OH, Lee J, Lee KW, Kim HY, Seo JA, Kim SG, Kim NH, Baik SH, Choi DS, Choi KM. Effects of green tea consumption on inflammation, insulin resistance and pulse wave velocity in type 2 diabetes patients. Diabetes Res Clin Pract. 2006;71(3):356–8.

    CAS  PubMed  Google Scholar 

  36. Kono S, Shinchi K, Wakabayashi K, Honjo S, Todoroki I, Sakurai Y, Imanishi K, Nishikawa H, Ogawa S, Katsurada M. Relation of green tea consumption to serum lipids and lipoproteins in Japanese men. J Epidemiol. 1996;6(3):128–33.

    CAS  PubMed  Google Scholar 

  37. Tokunaga S, White IR, Frost C, Tanaka K, Kono S, Tokudome S, Akamatsu T, Moriyama T, Zakouji H. Green tea consumption and serum lipids and lipoproteins in a population of healthy workers in Japan. Ann Epidemiol. 2002;12(3):157–65.

    PubMed  Google Scholar 

  38. Sayama K, Lin S, Zheng G, Oguni I. Effects of green tea on growth, food utilization and lipid metabolism in mice. In Vivo. 2000;14(4):481–4.

    CAS  PubMed  Google Scholar 

  39. Ramachandran B, Jayavelu S, Murhekar K, Rajkumar T. Repeated dose studies with pure Epigallocatechin-3-gallate demonstrated dose and route dependant hepatotoxicity with associated dyslipidemia. Toxicol Rep. 2016;3:336–45.

    CAS  PubMed  PubMed Central  Google Scholar 

  40. Shen CL, Brackee G, Song X, Tomison MD, Finckbone V, Mitchell KT, Tang L, Chyu MC, Dunn DM, Wang JS. Safety evaluation of green tea polyphenols consumption in middle-aged ovariectomized rat model. J Food Sci. 2017;82(9):2192–205.

    CAS  PubMed  PubMed Central  Google Scholar 

  41. Serisier S, Leray V, Poudroux W, Magot T, Ouguerram K, Nguyen P. Effects of green tea on insulin sensitivity, lipid profile and expression of PPARalpha and PPARgamma and their target genes in obese dogs. Br J Nutr. 2008;99(6):1208–16.

    CAS  PubMed  Google Scholar 

  42. Ashida H, Furuyashiki T, Nagayasu H, Bessho H, Sakakibara H, Hashimoto T, Kanazawa K. Anti-obesity actions of green tea: possible involvements in modulation of the glucose uptake system and suppression of the adipogenesis-related transcription factors. Biofactors. 2004;22(1–4):135–40.

    CAS  PubMed  Google Scholar 

  43. Banerjee S, Panda CK, Das S. Clove (Syzygium aromaticum L.), a potential chemo preventive agent for lung cancer. Carcinogenesis. 2006;27(8):1645–54.

    CAS  PubMed  Google Scholar 

  44. Dannenberg AJ, Subbaramaiah K. Targeting cyclooxygenase-2 in human neoplasia: rationale and promise. Cancer Cell. 2003;4(6):431–6.

    CAS  PubMed  Google Scholar 

  45. Dohadwala M, Batra RK, Luo J, Lin Y, Krysan K, Pold M, Sharma S, Dubinett SM. Autocrine/paracrine prostaglandin E2 production by non-small cell lung cancer cells regulates matrix metalloproteinase-2 and CD44 in cyclooxygenase-2-dependent invasion. J Biol Chem. 2002;277(52):50828–33.

    CAS  PubMed  PubMed Central  Google Scholar 

  46. Mann JR, Backlund MG, Dubois RN. Mechanisms of disease: inflammatory mediators and cancer prevention. Nat Clin Pract Oncol. 2005;2(4):202–10.

    CAS  PubMed  Google Scholar 

  47. deJong AJ, Kloppenburg M, Toes RE, Ioanfacsinay A. Fatty acids, lipid mediators, and T-cell function. Front Immunol. 2014;5:483.

    Google Scholar 

  48. Ip BC, Hogan AE, Nikolajczyk BS. Lymphocyte roles in metabolic dysfunction: of men and mice. Trends Endocrinol Metab. 2015;26(2):91–100.

    CAS  PubMed  PubMed Central  Google Scholar 

  49. Zheng G, Sayama K, Okubo T, Juneja LR, Oguni I. Anti-obesity effects of three major components of green tea, catechins, caffeine and theanine, in mice. In Vivo. 2004;18(1):55–62.

    CAS  PubMed  Google Scholar 

  50. Richard D, Kefi K, Barbe U, Poli A, Bausero P, Visioli F. Weight and plasma lipid control by decaffeinated green tea. Pharmacol Res. 2009;59(5):351–4.

    CAS  PubMed  Google Scholar 

  51. Kotronen A, YkiJärvinen H. Fatty liver a novel component of the metabolic syndrome. Arterioscler Thromb Vasc Biol. 2008;28(1):27–38.

    CAS  PubMed  Google Scholar 

  52. Targher G, Arcaro G. Non-alcoholic fatty liver disease and increased risk of cardiovascular disease. Atherosclerosis. 2007;191(2):235–40.

    CAS  PubMed  Google Scholar 

  53. Unger RH, Orci L. Diseases of liporegulation: new perspective on obesity and related disorders. FASEB J. 2001;15(2):312–21.

    CAS  PubMed  Google Scholar 

  54. Slavin JL. Dietary fiber and body weight. Nutr. 2005;21(3):411–8.

    Google Scholar 

  55. Han S, Jiao J, Zhang W, Xu J, Wan Z, Zhang W, Gao X, Qin L. Dietary fiber prevents obesity-related liver lipotoxicity by modulating sterol-regulatory element binding protein pathway in C57BL/6J mice fed a high-fat/cholesterol diet. Sci Rep. 2015;5:15256.

    CAS  PubMed  PubMed Central  Google Scholar 

  56. Fabbrini E, Sullivan SS. Obesity and nonalcoholic fatty liver disease: biochemical, metabolic, and clinical implications. Hepatology. 2010;51(2):679–89.

    CAS  PubMed  PubMed Central  Google Scholar 

  57. Yu Z, Geary N, Corwin RL. Individual effects of estradiol and progesterone on food intake and body weight in ovariectomized binge rats. Physiol Behav. 2011;104(5):687–93.

    CAS  PubMed  PubMed Central  Google Scholar 

  58. Kim SP, Ellmerer M, Kirkman EL, Bergman RN. Beta-cell “rest” accompanies reduced first-pass hepatic insulin extraction in the insulin-resistant, fat-fed canine model. Am J Physiol Endocrinol Metab. 2007;292(6):E1581–9.

    CAS  PubMed  Google Scholar 

  59. Richey JM, Woolcott OO, Stefanovski D, Harrison LN, Zheng D, Lottati M, Hsu IR, Kim SP, Kabir M, Catalano KJ. Rimonabant prevents additional accumulation of visceral and subcutaneous fat during high-fat feeding in dogs. Am J Physiol Endocrinol Metab. 2009;296(6):E1311–8.

    CAS  PubMed  PubMed Central  Google Scholar 

  60. Woods SC, Seeley RJ, Rushing PA, D'Alessio D, Tso P. A controlled high-fat diet induces an obese syndrome in rats. J Nutr. 2003;133(4):1081–7.

    CAS  PubMed  Google Scholar 

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Acknowledgments

We thank all of the authors of the primary studies included in this article. We also wish to thank anonymous reviewers for their kind advice.

Funding

This work was jointly supported by the National Key Research and Development Program of China funds (No. 2016YFD0501009), Postdoctoral Science Fund of Anhui Province (2016B117) and the National Natural Science Foundation of China (No. 31472250). The funders played no role in the design of the study, or the collection, analysis, or interpretation of data or in writing the manuscript.

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Authors and Affiliations

  1. College of Animal Science and Technology, Anhui Agricultural University, 130 West Changjiang Road, Hefei, 230036, China

    Sajid Ur Rahman, Yingying Huang, Lei Zhu, Xiaoyan Chu, Yafei Zhang, Yu Li, Shibin Feng, Jinjie Wu & Xichun Wang

  2. School of Tea and Food Technology, Anhui Agricultural University, 130 West Changjiang Road, Hefei, 230036, China

    Shahid Ahmed Junejo

  3. Anhui Provincial Laboratory of Local Livestock and Poultry Genetical Resource Conservation and Breeding, Anhui Agricultural University, 130 West Changjiang Road, Hefei, 230036, China

    Ibrar Muhammad Khan

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  1. Sajid Ur Rahman
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Contributions

SUR, XW and JW designed the project. SUR and YH contributed significantly to lab work. LZ, XC, SAJ, YZ, IMK, YL, and SF helped in collection of samples. YZ, YH, SF and JW helped in histological examinations. SUR wrote the manuscript. All authors reviewed and contributed significantly to improve the manuscript. SUR and YH contributed to statistical analysis of data. XW and JW supervised the work. All authors have read and approved the final manuscript.

Corresponding author

Correspondence to Xichun Wang.

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The experimental protocol was approved by Anhui Agricultural University Animal Care and Institutional Animal Ethical Committee (ZXD-C2018815), Hefei, China.

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Not applicable.

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The authors declare that they have no conflict of interest.

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Supplementary information

Additional file 1. Table S1.

Effects of HFD and TPs on serum TC of dogs (mmol/L). Table S2. Effects of HFD and TPs on serum TG of dogs (mmol/L). Table S3. Effects of HFD and TPs on serum LDL-C of dogs (mmol/L). Table S4. Effects of HFD and TPs on serum HDL-C of dogs (mmol/L).

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Rahman, S.U., Huang, Y., Zhu, L. et al. Tea polyphenols attenuate liver inflammation by modulating obesity-related genes and down-regulating COX-2 and iNOS expression in high fat-fed dogs. BMC Vet Res 16, 234 (2020). https://doi.org/10.1186/s12917-020-02448-7

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Keywords

  • Tea polyphenols
  • Obesity
  • COX-2 expression
  • Dog
  • Inflammatory cytokines

BMC Veterinary Research

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