Hostname: page-component-7bb8b95d7b-w7rtg Total loading time: 0 Render date: 2024-10-04T00:23:46.178Z Has data issue: false hasContentIssue false

Black elderberry extract attenuates inflammation and metabolic dysfunction in diet-induced obese mice

Published online by Cambridge University Press:  28 August 2015

Nicholas J. Farrell
Affiliation:
Department of Nutritional Sciences, University of Connecticut, Storrs, CT 06269, USA
Gregory H. Norris
Affiliation:
Department of Nutritional Sciences, University of Connecticut, Storrs, CT 06269, USA
Julia Ryan
Affiliation:
Department of Nutritional Sciences, University of Connecticut, Storrs, CT 06269, USA
Caitlin M. Porter
Affiliation:
Department of Nutritional Sciences, University of Connecticut, Storrs, CT 06269, USA
Christina Jiang
Affiliation:
Department of Nutritional Sciences, University of Connecticut, Storrs, CT 06269, USA
Christopher N. Blesso*
Affiliation:
Department of Nutritional Sciences, University of Connecticut, Storrs, CT 06269, USA
*
*Corresponding author: C. N. Blesso, fax +1 860 486 3674, email christopher.blesso@uconn.edu
Rights & Permissions [Opens in a new window]

Abstract

Dietary anthocyanins have been shown to reduce inflammation in animal models and may ameliorate obesity-related complications. Black elderberry is one of the richest sources of anthocyanins. We investigated the metabolic effects of anthocyanin-rich black elderberry extract (BEE) in a diet-induced obese C57BL/6J mouse model. Mice were fed either a low-fat diet (n 8), high-fat lard-based diet (HFD; n 16), HFD+0·25 % (w/w) BEE (0·25 %-BEE; n 16) or HFD+1·25 % BEE (1·25 %-BEE; n 16) for 16 weeks. The 0·25 % BEE (0·034 % anthocyanin, w/w) and 1·25 % BEE (0·17 % anthocyanin, w/w) diets corresponded to estimated anthocyanin doses of 20–40 mg and 100–200 mg per kg of body weight, respectively. After 16 weeks, both BEE groups had significantly lower liver weights, serum TAG, homoeostasis model assessment and serum monocyte chemoattractant protein-1 compared with HFD. The 0·25 %-BEE also had lower serum insulin and TNFα compared with HFD. Hepatic fatty acid synthase mRNA was lower in both BEE groups, whereas PPARγ2 mRNA and liver cholesterol were lower in 1·25 %-BEE, suggesting decreased hepatic lipid synthesis. Higher adipose PPARγ mRNA, transforming growth factor β mRNA and adipose tissue histology suggested a pro-fibrogenic phenotype that was less inflammatory in 1·25 %-BEE. Skeletal muscle mRNA expression of the myokine IL-6 was higher in 0·25 %-BEE relative to HFD. These results suggest that BEE may have improved some metabolic disturbances present in this mouse model of obesity by lowering serum TAG, inflammatory markers and insulin resistance.

Type
Full Papers
Copyright
Copyright © The Authors 2015 

According to the WHO, estimated worldwide rates of overweight and obesity are 39 and 13 %, respectively( 1 ). Obese individuals have shortened life expectancies( Reference Peeters, Barendregt and Willekens 2 ); however, they do not typically die of obesity itself but rather obesity-related comorbidities, such as CVD, diabetes and certain types of cancers( Reference Must, Spadano and Coakley 3 , Reference Haslam and James 4 ). The adipose dysfunction and excessive ectopic lipid accumulation in tissues in obesity promotes an inflammatory state that is thought to be an underlying cause of these obesity-related comorbidities( Reference Hotamisligil 5 , Reference Guilherme, Virbasius and Puri 6 ). Therefore, methods that target and lower inflammation may be effective at preventing obesity-related comorbidities. Anthocyanins, a class of polyphenol belonging to the flavonoid family, are dietary bioactives whose intake has been shown to be inversely associated with inflammation and insulin resistance in humans( Reference Jennings, Welch and Spector 7 ). Cyanidin 3-glucoside (C3G), a major anthocyanin in nature, has been shown to enhance adipocyte function and protect adipocytes from metabolic stress in vitro, by enhancing PPARγ activity and inhibition of forkhead box O1( Reference Guo, Ling and Wang 8 Reference Scazzocchio, Vari and Filesi 10 ). In animal models, dietary C3G fed at 0·2 % of the diet (w/w) for 5 weeks has been shown to improve insulin sensitivity and adipose tissue inflammation in diet-induced obese C57BL/6 mice( Reference Guo, Xia and Zou 11 ) and genetically diabetic mice( Reference Guo, Xia and Zou 11 , Reference Sasaki, Nishimura and Hoshino 12 ). Purified anthocyanins have also displayed protective effects against hepatic steatosis( Reference Guo, Xia and Zou 11 ) and non-alcoholic steatohepatitis( Reference Tang, Shen and Jiang 13 ) in mouse models. In human clinical studies, purified anthocyanin supplementation (300–320 mg/d) has been shown to improve systemic markers of inflammation in healthy( Reference Karlsen, Retterstol and Laake 14 ) and hypercholesterolaemic adults( Reference Zhu, Ling and Guo 15 ) compared with placebo. However, humans do not consume purified anthocyanins in isolation, and there is evidence of synergistic effects of different anthocyanins when used in combination in vitro ( Reference Zhu, Ling and Guo 15 ). Therefore, it is crucial to investigate obesity-protective effects of anthocyanins from whole foods, extracts and as isolated compounds.

Black elderberry (Sambucus nigra) contains one of the highest anthocyanin contents reported in foods (1316 mg/100 g fresh weight)( Reference Perez-Jimenez, Neveu and Vos 16 ). The major anthocyanins present in black elderberry include C3G and cyanidin 3-sambubioside( Reference Wu, Gu and Prior 17 , Reference Farrell, Norris and Lee 18 ). Black elderberry is commonly consumed in European cultures in wines and other processed beverages( Reference Charlebois, Byers and Finn 19 ), with similar products available in the USA. The berry has been used for centuries in traditional medicine throughout European and native American cultures( Reference Charlebois, Byers and Finn 19 ); however, research on its therapeutic potential is limited. Therefore, we investigated the effects of anthocyanin-rich black elderberry extract (BEE) on the metabolic disturbances associated with obesity using the high-fat diet (HFD)-induced obese C57BL/6J mouse model. We hypothesised that BEE feeding would attenuate the low-grade inflammation and insulin resistance in this mouse model of obesity.

Methods

Animals and diets

HFD-fed C57BL/6 mice were used as a diet-induced model of obesity. Male C57BL/6J mice (8 weeks of age, n 56) were obtained from The Jackson Laboratory and allowed to acclimate to the animal facility for 2 weeks before being fed one of four experimental diets for 16 weeks: low-fat diet control group (LFD; 10 % energy as fat; n 8) (Harlan Teklad; TD.08806); HFD control group (60 % energy as fat; n 16) (Harlan Teklad; TD.06414); HFD with 0·25 % of BEE added by weight (0·25 %-BEE; 60 % energy as fat; n 16); and HFD with 1·25 % of BEE added by weight (1·25 %-BEE; 60 % energy as fat; n 16). Spray-dried BEE (S. nigra) (standardised to 13 % anthocyanins) on maltodextrin as an excipient was kindly provided by Artemis International. A single batch of BEE was obtained from the supplier. BEE anthocyanins were previously characterised by HPLC and shown to be primarily in the form of cyanidin 3-sambubioside and C3G( Reference Farrell, Norris and Lee 18 ). The 0·25 %-BEE and 1·25 %-BEE diets corresponded to 0·034 % anthocyanin (w/w) and 0·17 % anthocyanin (w/w) in diets, respectively. The estimated anthocyanin doses were 20–40 mg (0·25 %-BEE) and 100–200 mg (1·25 %-BEE) per kg of body weight after accounting for weight gain throughout the study. Carbohydrate content of diets containing BEE was adjusted to match control HFD composition by replacing maltodextrin with BEE. The 0·25 %-BEE diet corresponds to a human dose of approximately 150 mg of anthocyanin/d, which can easily be achieved with regular consumption of fruits such as berries( Reference Wu, Beecher and Holden 20 ). The 1·25 %-BEE diet corresponds to about 1/2 serving (60 g) of black elderberry fruit( Reference Perez-Jimenez, Neveu and Vos 16 ) (approximately 740 mg of anthocyanin/d) for a 70 kg person. Food intake and body weight were assessed weekly. Fresh diet was provided to mice twice per week. After 16 weeks on experimental diets, mice were fasted for 6–8 h before blood collection by cardiac puncture and euthanasia. Blood was allowed to clot at room temperature for 30 min before serum was isolated by centrifugation (10 000 g for 10 min at 4°C) and then stored at −80°C. Tissues were perfused with saline before being harvested, snap-frozen in liquid N2 and stored at −80°C. Liver and adipose tissues were fixed in 10 % neutral-buffered formalin for at least 48 h before histological analysis. All mice were housed in a temperature-controlled room and maintained in a 12 h light–12 h dark cycle at the University of Connecticut-Storrs vivarium. The Animal Care and Use Committee of the University of Connecticut-Storrs approved all procedures used in the current study.

Serum biochemical analysis

Total cholesterol, NEFA, TAG, glucose and alanine aminotransferase (ALT) were measured using enzymatic assays, as described( Reference Farrell, Norris and Lee 18 ). Fasting insulin, monocyte chemoattractant protein-1 (MCP-1), IL-6, TNFα, adiponectin, resistin and plasminogen activator inhibitor (PAI) were measured by Luminex/xMAP magnetic bead-based multiplexing assays using MAGPIX instrumentation (EMD Millipore). The homoeostasis model assessment of insulin resistance (HOMA-IR) equation was used to estimate insulin resistance based on fasting serum insulin and glucose measurements( Reference Matthews, Hosker and Rudenski 21 ).

Tissue lipid extraction and analysis

Hepatic lipids were extracted using methods previously reported( Reference Farrell, Norris and Lee 18 ). Briefly, the lipids were extracted with chloroform:methanol (2:1), dried under N2 at 60°C and solubilised in Triton X-100 before being analysed for cholesterol and TAG by enzymatic methods.

RNA isolation, cDNA synthesis and real-time quantitative RT-PCR

Total RNA was isolated from liver, skeletal muscle and adipose tissues using TRIzol reagent (Life Technologies). RNA was then DNase I-treated and reverse transcribed using the iScript cDNA synthesis kit (Bio-Rad). Gene expression was measured by real-time quantitative RT-PCR using SYBR Green (Bio-Rad) and a CFX96 real-time PCR detection system (Bio-Rad). A detailed list of all primer sequences used in quantitative RT-PCR analysis is provided in the online Supplementary material (online Supplementary Table S1). Liver mRNA expression data were normalised to the geometric mean of the internal controls glyceraldehyde 3-phosphate dehydrogenase and ribosomal protein large P0. The geometric mean of glyceraldehyde 3-phosphate dehydrogenase ribosomal protein large P0 and β-actin was used as an internal control for adipose and skeletal muscle mRNA analysis. Expression relative to the internal controls was determined using the $${\rm 2}^{{{\minus}\Delta \Delta C_{t} }} $$ method.

Histological analysis of tissues

Formalin-fixed liver and epididymal adipose tissue were embedded in paraffin and cut into 5 μm sections before staining. Liver sections were stained with haematoxylin–eosin (H&E), whereas adipose sections were H&E-stained or subjected to Masson’s trichrome staining to visualise connective tissue. All histological procedures were conducted at the Connecticut Veterinary Medical Diagnostic Laboratory. The stained tissue sections were viewed under bright-field microscopy at 200× magnification, and images were taken with AxioCam ICc3 (Zeiss). The extent of macrophage infiltration into adipose tissue was assessed by the manual counting of crown-like structures (CLS) (three slides per animal) performed by a technician blinded to group assignment.

Statistical analysis

One-way ANOVA was used to detect differences between groups with post hoc multiple comparisons (Tukey’s test) when appropriate (P<0·05 deemed significant). GraphPad Prism version 6 software was used to conduct all statistical analysis. Data are reported as mean values and standard error of means.

Results

Effects of black elderberry extract on food intake and body weight

Although there were no differences in food intake (Fig. 1(A)) between any of the four groups, the HFD groups had greater body weight and weight change after 16 weeks than the LFD group (Fig. 1(B) and (C)). There were no differences in body weight or weight change among the HFD groups. Liver weights were approximately 13 % lower in both the 0·25 %- and 1·25 %-BEE groups relative to the HFD control group (Fig. 1(D)).

Fig. 1 Black elderberry extract (BEE) reduces liver weight with no change in food intake or weight gain. Food intake (A) and body weight of animals (B) were measured weekly. Mean weight change was calculated after 16 weeks (C), and liver weight was measured at the time of killing (D) (n 8–16/group). Values are means with their standard errors represented by vertical bars. a,b,c Mean values with unlike letters were significantly different using post hoc comparisons (P<0·05). HFD, high-fat diet; LFD, low-fat diet. , LFD; , HFD; , 0·25 % BEE; , 1·25 % BEE.

Black elderberry extract lowers serum TAG, inflammatory markers and insulin resistance

Serum markers after 16 weeks are presented in Table 1. Serum TAG was significantly reduced compared with HFD control in the 0·25 %-BEE and 1·25 %-BEE groups by 25 and 30 %, respectively. There was a significant increase in total serum cholesterol and ALT in the HFD groups relative to LFD control; however, there were no differences within the HFD groups. No differences in serum NEFA were observed between the groups. The HFD control group displayed significant elevations in MCP-1, IL-6, TNFα, resistin and PAI-1, as well as a reduction in adiponectin compared with LFD control (Fig. 2(A) and (B)). BEE feeding attenuated the HFD-dependent increase in several serum inflammatory cytokines/chemokines. There were significant reductions in MCP-1 (−37 %) and TNFα (−47 %) with the 0·25 %-BEE dose and a significant reduction in MCP-1 (−30 %) with the 1·25 %-BEE dose (Fig. 2(A)). However, BEE feeding did not attenuate the effects of HFD on serum IL-6, resistin, PAI-1 and adiponectin (Fig. 2(A) and (B)). Fasting serum insulin was 32 % lower in the 0·25 %-BEE group compared with HFD control (Fig. 2(C)), and HOMA-IR, a metric of insulin resistance, was significantly lower in both BEE groups compared with HFD control (Fig. 2(D)).

Fig. 2 Black elderberry extract (BEE) reduces serum inflammation and insulin resistance. Serum cytokines/chemokines, adipokines and insulin were examined by multiplexing assays (A–C). homoeostasis model assessment of insulin resistance (HOMA-IR) was calculated as ((glucose mmol/l)×(insulin mU/l)/22.5) (D) (n 8–16/group). HFD, high-fat diet; LFD, low-fat diet; MCP-1, monocyte chemoattractant-1; PAI-1, plasminogen activator inhibitor-1. Values are means with their standard errors represented by vertical bars. a,b,c Mean values with unlike letters were significantly different using post hoc comparisons (P<0·05). , LFD; , HFD; , 0·25 % BEE; , 1·25 % BEE.

Table 1 Serum markers of C57BL/6J mice after 16 weeks (Mean values with their standard errors)

ALT, alanine aminotransferase; BEE, black elderberry extract; HFD, high-fat diet; LFD, low-fat diet.

a,b Mean values within a column with unlike superscript letters were significantly different using post hoc comparisons (P<0·05).

Black elderberry extract reduces hepatic cholesterol and lipogenic gene expression

HFD feeding significantly increased hepatic lipids compared with LFD control, suggesting the development of hepatic steatosis (Fig. 3(B) and (C)). This observation was confirmed by examination of H&E-stained livers, in which extensive lipid droplet accumulation was seen in the HFD groups (Fig. 3(A)). Hepatic lipid accumulation with HFD appeared to be attenuated by BEE feeding (Fig. 3(C)). Hepatic cholesterol in the 1·25 %-BEE group was significantly lower (−32 %) than HFD control (Fig. 3(B)). Hepatic TAG did not differ significantly between HFD groups, although BEE groups tended to be lower (Fig. 3(C)). After hepatic lipid analysis, we performed real-time quantitative RT-PCR analysis to assess hepatic mRNA expression of lipid metabolism-related genes. Expression of the lipogenic gene fatty acid synthase (Fas) was significantly reduced in both BEE-fed groups, whereas PPARγ2 was significantly reduced only in the 1·25 %-BEE group relative to the HFD control (Fig. 4), corresponding with histological and biochemical analysis.

Fig. 3 Effect of black elderberry extract (BEE) on hepatic lipids and steatosis development. Liver haematoxylin–eosin (H&E) histology was performed as described in the Methods section (A) (n 8/group). Hepatic lipids were extracted with chloroform–methanol (2:1), dried under nitrogen at 60°C and solubilised in Triton X-100, as described in the Methods section. Cholesterol and TAG were measured by enzymatic methods (B, C) (n 8–16/group). Values are means with their standard errors represented by vertical bars. a,b Mean values with unlike letters were significantly different using post hoc comparisons (P<0·05). HFD, high-fat diet; LFD, low-fat diet.

Fig. 4 Black elderberry extract (BEE) reduces lipogenic mRNA expression in the liver. Hepatic mRNA expression was measured by real-time quantitative RT-PCR. Data were normalised to endogenous reference gene expression (n 8–16/group). ACAD, acyl-CoA dehydrogenase; ACC, acetyl-CoA carboxylase; ACOX, acyl-CoA oxidase 1; CPT1a, carnitine palmitoyltransferase 1α; FAS, fatty acid synthase; HFD, high-fat diet; LDLR, LDL receptor; LFD, low-fat diet; LXRa, liver X receptor α; SREBP1c, sterol regulatory element-binding protein 1c. Values are means with their standard errors represented by vertical bars. a,b Mean values with unlike letters were significantly different using post hoc comparisons (P<0·05). , LFD; , HFD; , 0·25 %; , 1·25 %.

Black elderberry extract does not attenuate adipose tissue macrophage infiltration and fibrosis

Compared with the LFD group, all HFD groups had a noticeable increase in macrophage infiltration indicated by H&E staining, with an increased number of CLS (Fig. 5(A) and (B)). There were no differences in CLS among the HFD groups, as all groups appeared to have extensive immune cell infiltration and large pockets without adipocytes, suggesting fibrosis. The adipose tissue became markedly fibrotic in the HFD groups, as shown by Masson’s trichrome blue staining of connective tissue (Fig. 5(C)). Indeed, the large pockets that lacked adipocytes stained strongly for connective tissue, and this staining appeared to be greatest in the 1·25 %-BEE group relative to the other HFD groups. To further examine adipose tissue, real-time quantitative RT-PCR was performed to examine changes in mRNA expression between HFD groups (Fig. 5(D)). In the 1·25 %-BEE group, there were significant increases in expression of PPARγ and a PPARγ target gene, adipocyte protein 2, compared with the HFD control group. Another PPARγ target gene, lipoprotein lipase, was significantly higher in the 1·25 %-BEE group relative to the 0·25 %-BEE group. F4/80, a macrophage marker, was also more highly expressed in the 1·25 %-BEE group compared with the HFD control and 0·25 %-BEE groups. Interestingly, although the 1·25 %-BEE group had greater F4/80 mRNA expression, TNFα expression was significantly reduced compared with the 0·25 %-BEE group, suggesting that the macrophages were less inflammatory. The expression of CD11c, a phenotypic marker of ‘classically activated’ M1-like inflammatory macrophages, was not different between any of the groups, suggesting that 1·25 %-BEE macrophages are of the M2-like ‘alternatively activated’ phenotype that remodel adipose tissue and are not inflammatory. Supporting this notion, mRNA expression of transforming growth factor β (TGFβ), a pro-fibrogenic cytokine, was increased in the 1·25 %-BEE group relative to the other HFD groups. In addition, collagen VI α3 (Col6a3), a downstream target of TGFβ that is highly enriched in adipose tissue, was significantly increased in the 1·25 %-BEE group relative to the 0·25 %-BEE group.

Fig. 5 Effect of black elderberry extract (BEE) on adipose tissue inflammation and fibrosis. Epididymal adipose haematoxylin–eosin (H&E) (A) and Masson’s trichrome (C) staining was performed as described in the Methods section. Crown-like structures (CLS) were manually counted from adipose H&E stains and averaged across three random 200× high-powered fields (HPF) (B) (n 8/group). Adipose mRNA expression was measured by real-time quantitative RT-PCR. Data were normalised to endogenous reference gene expression (D) (n 16/group). AdipoQ, adiponectin; aP2, adipocyte protein 2; CD11c, integrin, αX (complement component 3 receptor 4 subunit); Col6a3, collagen, type VI, α3; F480, EGF-like module-containing mucin-like hormone receptor-like 1; HFD, high-fat diet; LFD, low-fat diet; LPL, lipoprotein lipase; MCP-1, monocyte chemoattractant-1; TGFβ, transforming growth factor-β. Values are means with their standard errors represented by vertical bars. a,b Mean values with unlike letters were significantly different using post hoc comparisons (P<0·05). , HFD; , 0·25 % BEE; , 1·25 % BEE.

Black elderberry extract alters lipid metabolism-related gene expression but does not attenuate skeletal muscle inflammation

To examine skeletal muscle inflammation and metabolic function, mRNA expression in quadriceps was measured (Fig. 6). Compared with LFD control, HFD feeding resulted in higher mRNA expression of skeletal muscle MCP-1 and the macrophage marker, CD68, suggesting that the obese state caused inflammation in this tissue. BEE feeding was unable to alter MCP-1 or CD68 expression compared with HFD control. There was also a marked increase in the expression of lipid metabolism-related genes acyl-CoA dehydrogenase, Lpl and acyl-CoA oxidase (Acox) with high-fat feeding compared with LFD. Lpl and Acox expression were decreased significantly in the 1·25 %-BEE group relative to the HFD control. IL-6, a myokine and regulator of substrate utilisation, was increased by 2·7-fold in the 0·25 %-BEE group compared with the HFD control group.

Fig. 6 Effect of black elderberry extract (BEE) on skeletal muscle gene expression. Skeletal muscle mRNA was measured by real-time quantitative RT-PCR. Data were normalised to endogenous reference gene expression (n 8–16/group). ACAD, acyl-CoA dehydrogenase; ACOX, acyl-CoA oxidase 1; CD68, cluster of differentiation 68; HFD, high-fat diet; LFD, low-fat diet; LPL, lipoprotein lipase; MCP-1, monocyte chemoattractant-1. Values are means with their standard errors represented by vertical bars. a,b,c Mean values with unlike letters were significantly different using post hoc comparisons (P<0·05). , LFD; , HFD; , 0·25 % BEE; , 1·25 % BEE.

Discussion

Targeting the excessive lipid accumulation and inflammation in obesity may lead to successful therapies that reduce the prevalence of obesity-related comorbidities( Reference Hotamisligil 5 ). Anthocyanins are dietary bioactives that have been shown to reduce inflammation and insulin resistance in obese animals( Reference Guo, Xia and Zou 11 , Reference Sasaki, Nishimura and Hoshino 12 ). Black elderberry is a berry rich in anthocyanins, but there is limited research examining its effects on inflammation in chronic disease models. In this study, C57BL/6J mice fed BEE were shown to have an attenuation of insulin resistance and systemic inflammation compared with HFD controls. BEE-fed mice were also shown to have lower serum TAG and modest reductions in hepatic lipids compared with HFD controls. These changes suggest that BEE may have potential in ameliorating the lipotoxicity and inflammation present in obesity.

Anthocyanins have been shown to have limited bioavailability and are not found in the serum in significant quantities (<1 %) upon feeding( Reference Manach, Williamson and Morand 22 ). Because of this, some have questioned how the consumption of anthocyanin-rich foods may be eliciting their effects( Reference Lotito and Frei 23 ). Recently, Czank et al. ( Reference Czank, Cassidy and Zhang 24 ) showed that ingestion of 500 mg of 13C-isotopically labelled C3G by humans was about 12 % bioavailable (excreted via urine and breath) in the form of metabolites. C3G is degraded to protocatechuic acid (PCA), either spontaneously or after catabolism by the gut microbiota, which can then be absorbed and enter the bloodstream( Reference Vitaglione, Donnarumma and Napolitano 25 ). Compared with intact C3G, much higher concentrations of these phenolic degradation products and their phase II conjugates were found in serum, urine and faeces in human subjects after 13C-labelled C3G ingestion( Reference Czank, Cassidy and Zhang 24 ). In this case, it is likely that the metabolites of anthocyanins are primarily responsible for their physiological effects.

In the current study, both groups of BEE-fed mice were found to have improvements in many serum markers of obesity-related metabolic complications. BEE-fed mice had 25–30 % reductions in fasting serum TAG compared with HFD control, although no other significant differences were observed in serum lipids. BEE appeared to attenuate systemic inflammation, as mice fed the lower dosage of BEE had >30 % lower serum MCP-1 and TNFα, whereas only MCP-1 reached significance in the higher dosage group. Both BEE-fed groups displayed 20 and 40 % reductions in fasting insulin and HOMA-IR, respectively, which suggests that BEE reduced insulin resistance in these obese mice. However, future studies should examine insulin resistance using glucose tolerance tests or clamps, as these would provide greater insight into the metabolic effects of BEE in obese conditions.

BEE-fed mice also displayed modest changes in markers of hepatic steatosis that increase with diet-induced obesity. BEE-fed mice were found to have 13 % lower liver weights compared with HFD control. We observed dose-related effects of BEE on hepatic lipids and lipogenic gene expression. There appeared to be a modest attenuation of hepatic steatosis in the 1·25 %-BEE group compared with the HFD control, with noticeably smaller lipid droplets, suggesting less macrosteatosis. A significant reduction of hepatic cholesterol by 32 % and a non-significant 16 % attenuation in hepatic TAG in the 1·25 %-BEE group confirm this observation. These changes may be explained in part by reductions in hepatic FAS and PPARγ2 mRNA in the 1·25 %-BEE group. No changes in β-oxidation-related gene expression were observed among the HFD groups, suggesting that BEE influenced TAG synthesis rather than oxidation.

The effects of BEE feeding on adipose tissue did not appear to explain the differences in serum markers between HFD groups. Despite no changes in the epididymal adipose CLS count among the HFD groups, the 1·25 %-BEE displayed a 211 % increase in the mRNA expression of the pan-macrophage marker F4/80. Although F4/80 expression was increased, the 1·25 %-BEE group adipose tissue did not appear inflamed, having significantly lower TNFα expression than the 0·25 %-BEE group, and this approached significance compared with HFD control. Furthermore, CD11c, a marker of pro-inflammatory ‘classically activated’ M1-like macrophages, was not increased in the 1·25 %-BEE group. Adipose mRNA expression of PPARγ and TGFβ, which are induced in M2-like ‘alternatively activated’ macrophages( Reference Bouhlel, Derudas and Rigamonti 26 , Reference Spencer, Yao-Borengasser and Unal 27 ), was significantly increased in the 1·25 %-BEE groups compared with HFD control. Potentially, the macrophages in the 1·25 %-BEE adipose tissue were more of an M2-like phenotype, where they would be pro-resolving and anti-inflammatory. Expression levels of PPARγ target genes (aP2, LPL) were increased in 1·25 %-BEE adipose relative to other HFD groups, suggesting that PPARγ activity was increased. PPARγ activation in macrophages has been shown to induce an anti-inflammatory M2-like phenotype that improves metabolic function in obese mice( Reference Bouhlel, Derudas and Rigamonti 26 , Reference Odegaard, Ricardo-Gonzalez and Goforth 28 ). Alternatively activated M2-like macrophages have also been shown to stimulate fibrogenesis in vitro via production of TGFβ ( Reference Song, Ouyang and Horbelt 29 ). Connective tissue staining of sectioned adipose tissue appeared to be somewhat greater in the 1·25 %-BEE group, which also displayed a higher expression of Col6a3, a fibrogenic gene that was shown to be induced downstream of TGFβ signalling in vitro ( Reference Verrecchia, Chu and Mauviel 30 ). In human obese subjects, adipose tissue macrophages that were present in fibrotic areas and not in CLS were shown to be primarily M2-like macrophages, which produce TGFβ and increase adipocyte collagen VI( Reference Spencer, Yao-Borengasser and Unal 27 ). Thus, despite the strong induction of F4/80 mRNA in the 1·25 %-BEE adipose, the infiltrated macrophages do not appear to be inflammatory and may be of the M2-like anti-inflammatory and pro-fibrogenic phenotype.

In skeletal muscle, we observed dose-related effects of BEE on the expression of several fatty acid metabolism genes. Skeletal muscle mRNA expression levels of LPL and ACOX were reduced by 50 and 46 % in the 1·25 %-BEE group compared with HFD control, which indicates major changes in fatty acid metabolism. However, these genes were highly induced in all HFD groups compared with LFD, suggesting that these decreases with the 1·25 %-BEE dose were indicative of an attenuation of the HFD effect. This may possibly be explained by reduced fatty acid availability to the skeletal muscle as a consequence of greater adipose PPARγ activation and adipose fatty acid buffering capacity. With long-term HFD feeding in mice (>12 weeks), skeletal muscle can exhibit extensive macrophage infiltration and inflammation similar to adipose tissue( Reference Patsouris, Cao and Vial 31 ). BEE feeding was unable to attenuate the apparent macrophage infiltration (>30-fold increases in CD68 mRNA expression) and inflammation with HFD feeding (>five-fold increases in MCP-1 mRNA expression). Of interest was the 2·7-fold increase in IL-6 mRNA expression in the 0·25 %-BEE group compared with HFD control. IL-6 is a myokine and somewhat controversial in regard to its effects in skeletal muscle, systemic glucose tolerance, and insulin resistance( Reference Munoz-Canoves, Scheele and Pedersen 32 , Reference Wallenius, Wallenius and Ahren 33 ). Although traditionally viewed as an inflammatory cytokine that increases hepatic insulin resistance, increasing evidence points to a beneficial metabolic role in promoting glucose uptake and fatty acid oxidation in skeletal muscle( Reference Carey, Steinberg and Macaulay 34 , Reference Glund, Deshmukh and Long 35 ). This may be significant in regulating systemic glucose tolerance, as the skeletal muscle is the major organ involved in whole-body glucose disposal in humans( Reference Shulman, Rothman and Jue 36 ).

Our findings are consistent with other reports that have fed anthocyanins and anthocyanin-rich foods to obese rodent models. Guo et al. ( Reference Guo, Xia and Zou 11 ) observed significant reductions in plasma insulin, HOMA-IR, MCP-1 and TNFα, with no changes in IL-6 after feeding diet-induced obese C57BL/6 mice with 0·2 % (w/w) C3G for 5 weeks. We reported reductions in fasting insulin and HOMA-IR by 20–30 and 40 %, respectively. DeFuria et al. ( Reference DeFuria, Bennett and Strissel 37 ) also observed decreases in insulin resistance in C57BL/6J mice fed blueberry powder in the diet at 4 % by weight (about 0·12 % anthocyanins) for 8 weeks. Similarly, Chuang et al. ( Reference Chuang, Shen and Chen 38 ) reported an improvement in glucose tolerance in diet-induced obese C57BL/6 mice fed 3 % (w/w) grape powder for 18 weeks. The significant reductions in serum MCP-1 (37 and 30 % in 0·25 %-BEE and 1·25 %-BEE groups, respectively, relative to HFD control) and TNFα (47 % in the 0·25 %-BEE group relative to HFD control) are comparable to the reductions of 30–50 % reported by Chuang et al. ( Reference Chuang, Shen and Chen 38 ) in serum inflammatory markers. Therefore, the results that we report in this study are consistent with previous findings on the efficacy of anthocyanin-rich foods in ameliorating inflammation and insulin resistance in obese rodent models.

In conclusion, BEE-fed mice had reduced serum inflammatory markers and insulin resistance, as measured by HOMA-IR. BEE-fed mice had lower fasting TAG and modest reductions in hepatic lipids, possibly explained by reductions in hepatic FAS and PPARγ2. Despite a lack of difference in CLS in the HFD groups, the 1·25 %-BEE-fed mice appeared to have more macrophage infiltration in the adipose tissue, as demonstrated by greater F4/80 mRNA expression. These macrophages do not appear to be inflammatory, however, and may be depositing more collagen. Across the tissues, changes in mRNA expression in the BEE-fed groups suggest differences in fatty acid metabolism including potentially decreased lipogenesis in the liver and increased adipogenesis in the adipose tissue. Both BEE doses appear to attenuate some of the complications induced by HFD feeding, although the 1·25 % (w/w) dose does not appear to improve upon the serum changes observed with the 0·25 % (w/w) dose and may even cause complications in the adipose because of fibrogenic effects. Overall, BEE appeared to attenuate systemic inflammation and insulin resistance that occurs with diet-induced obesity in this mouse model, but further research is warranted on black elderberry consumption and effects in humans.

Acknowledgements

This work was supported by USDA AFRI (CONS2014-06619) and USDA Hatch (CONS00934) grants to C. N. B.

N. F. conducted the research, analysed the data and wrote the paper; G. N. conducted the research and provided input for the paper; J. R., C. M. P. and C. J. conducted the research; C. N. B. designed the research, analysed the data and had primary responsibility for final content. All authors read and approved the final manuscript.

There are no conflicts of interest.

Supplementary material

For supplementary material/s referred to in this article, please visit http://dx.doi.org/doi:10.1017/S0007114515002962

References

1. World Health Organization (2015) Obesity and overweight, fact sheet no. 311. http://www.who.int/mediacentre/factsheets/fs311/en (accessed May 2015).Google Scholar
2. Peeters, A, Barendregt, JJ, Willekens, F, et al. (2003) Obesity in adulthood and its consequences for life expectancy: a life-table analysis. Ann Intern Med 138, 2432.Google Scholar
3. Must, A, Spadano, J, Coakley, EH, et al. (1999) The disease burden associated with overweight and obesity. JAMA 282, 15231529.CrossRefGoogle ScholarPubMed
4. Haslam, DW & James, WP (2005) Obesity. Lancet 366, 11971209.Google Scholar
5. Hotamisligil, GS (2006) Inflammation and metabolic disorders. Nature 444, 860867.Google Scholar
6. Guilherme, A, Virbasius, JV, Puri, V, et al. (2008) Adipocyte dysfunctions linking obesity to insulin resistance and type 2 diabetes. Nat Rev Mol Cell Biol 9, 367377.CrossRefGoogle ScholarPubMed
7. Jennings, A, Welch, AA, Spector, T, et al. (2014) Intakes of anthocyanins and flavones are associated with biomarkers of insulin resistance and inflammation in women. J Nutr 144, 202208.CrossRefGoogle ScholarPubMed
8. Guo, H, Ling, W, Wang, Q, et al. (2008) Cyanidin 3-glucoside protects 3T3-L1 adipocytes against H2O2- or TNF-alpha-induced insulin resistance by inhibiting c-Jun NH2-terminal kinase activation. Biochem Pharmacol 75, 13931401.Google Scholar
9. Guo, H, Guo, J, Jiang, X, et al. (2012) Cyanidin-3-O-beta-glucoside, a typical anthocyanin, exhibits antilipolytic effects in 3T3-L1 adipocytes during hyperglycemia: involvement of FoxO1-mediated transcription of adipose triglyceride lipase. Food Chem Toxicol 50, 30403047.Google Scholar
10. Scazzocchio, B, Vari, R, Filesi, C, et al. (2011) Cyanidin-3-O-beta-glucoside and protocatechuic acid exert insulin-like effects by upregulating PPARgamma activity in human omental adipocytes. Diabetes 60, 22342244.Google Scholar
11. Guo, H, Xia, M, Zou, T, et al. (2012) Cyanidin 3-glucoside attenuates obesity-associated insulin resistance and hepatic steatosis in high-fat diet-fed and db/db mice via the transcription factor FoxO1. J Nutr Biochem 23, 349360.Google Scholar
12. Sasaki, R, Nishimura, N, Hoshino, H, et al. (2007) Cyanidin 3-glucoside ameliorates hyperglycemia and insulin sensitivity due to down-regulation of retinol binding protein 4 expression in diabetic mice. Biochem Pharmacol 74, 16191627.CrossRefGoogle ScholarPubMed
13. Tang, X, Shen, T, Jiang, X, et al. (2015) Purified anthocyanins from bilberry and black currant attenuate hepatic mitochondrial dysfunction and steatohepatitis in mice with methionine and choline deficiency. J Agric Food Chem 63, 552561.Google Scholar
14. Karlsen, A, Retterstol, L, Laake, P, et al. (2007) Anthocyanins inhibit nuclear factor-kappaB activation in monocytes and reduce plasma concentrations of pro-inflammatory mediators in healthy adults. J Nutr 137, 19511954.Google Scholar
15. Zhu, Y, Ling, W, Guo, H, et al. (2013) Anti-inflammatory effect of purified dietary anthocyanin in adults with hypercholesterolemia: a randomized controlled trial. Nutr Metab Cardiovasc Dis 23, 843849.Google Scholar
16. Perez-Jimenez, J, Neveu, V, Vos, F, et al. (2010) Systematic analysis of the content of 502 polyphenols in 452 foods and beverages: an application of the phenol-explorer database. J Agric Food Chem 58, 49594969.Google Scholar
17. Wu, X, Gu, L, Prior, RL, et al. (2004) Characterization of anthocyanins and proanthocyanidins in some cultivars of Ribes, Aronia, and Sambucus and their antioxidant capacity. J Agric Food Chem 52, 78467856.Google Scholar
18. Farrell, N, Norris, G, Lee, SG, et al. (2015) Anthocyanin-rich black elderberry extract improves markers of HDL function and reduces aortic cholesterol in hyperlipidemic mice. Food Funct 6, 12781287.Google Scholar
19. Charlebois, D, Byers, P, Finn, C, et al. (2010) Elderberry: botany, horticulture, potential. Hortic Rev (Am Soc Hortic Sci) 37, 213280.Google Scholar
20. Wu, X, Beecher, GR, Holden, JM, et al. (2006) Concentrations of anthocyanins in common foods in the United States and estimation of normal consumption. J Agric Food Chem 54, 40694075.Google Scholar
21. Matthews, DR, Hosker, JP, Rudenski, AS, et al. (1985) Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 28, 412419.Google Scholar
22. Manach, C, Williamson, G, Morand, C, et al. (2005) Bioavailability and bioefficacy of polyphenols in humans. I. Review of 97 bioavailability studies. Am J Clin Nutr 81, 230S242SS.Google Scholar
23. Lotito, SB & Frei, B (2006) Consumption of flavonoid-rich foods and increased plasma antioxidant capacity in humans: cause, consequence, or epiphenomenon? Free Radic Biol Med 41, 17271746.Google Scholar
24. Czank, C, Cassidy, A, Zhang, Q, et al. (2013) Human metabolism and elimination of the anthocyanin, cyanidin-3-glucoside: a (13)C-tracer study. Am J Clin Nutr 97, 9951003.Google Scholar
25. Vitaglione, P, Donnarumma, G, Napolitano, A, et al. (2007) Protocatechuic acid is the major human metabolite of cyanidin-glucosides. J Nutr 137, 20432048.CrossRefGoogle ScholarPubMed
26. Bouhlel, MA, Derudas, B, Rigamonti, E, et al. (2007) PPARgamma activation primes human monocytes into alternative M2 macrophages with anti-inflammatory properties. Cell Metab 6, 137143.Google Scholar
27. Spencer, M, Yao-Borengasser, A, Unal, R, et al. (2010) Adipose tissue macrophages in insulin-resistant subjects are associated with collagen VI and fibrosis and demonstrate alternative activation. Am J Physiol Endocrinol Metab 299, E1016E1027.Google Scholar
28. Odegaard, JI, Ricardo-Gonzalez, RR, Goforth, MH, et al. (2007) Macrophage-specific PPARgamma controls alternative activation and improves insulin resistance. Nature 447, 11161120.Google Scholar
29. Song, E, Ouyang, N, Horbelt, M, et al. (2000) Influence of alternatively and classically activated macrophages on fibrogenic activities of human fibroblasts. Cell Immunol 204, 1928.Google Scholar
30. Verrecchia, F, Chu, ML & Mauviel, A (2001) Identification of novel TGF-beta /Smad gene targets in dermal fibroblasts using a combined cDNA microarray/promoter transactivation approach. J Biol Chem 276, 1705817062.Google Scholar
31. Patsouris, D, Cao, JJ, Vial, G, et al. (2014) Insulin resistance is associated with MCP1-mediated macrophage accumulation in skeletal muscle in mice and humans. PLOS ONE 9, e110653.Google Scholar
32. Munoz-Canoves, P, Scheele, C, Pedersen, BK, et al. (2013) Interleukin-6 myokine signaling in skeletal muscle: a double-edged sword? FEBS J 280, 41314148.Google Scholar
33. Wallenius, V, Wallenius, K, Ahren, B, et al. (2002) Interleukin-6-deficient mice develop mature-onset obesity. Nat Med 8, 7579.Google Scholar
34. Carey, AL, Steinberg, GR, Macaulay, SL, et al. (2006) Interleukin-6 increases insulin-stimulated glucose disposal in humans and glucose uptake and fatty acid oxidation in vitro via AMP-activated protein kinase. Diabetes 55, 26882697.Google Scholar
35. Glund, S, Deshmukh, A, Long, YC, et al. (2007) Interleukin-6 directly increases glucose metabolism in resting human skeletal muscle. Diabetes 56, 16301637.Google Scholar
36. Shulman, GI, Rothman, DL, Jue, T, et al. (1990) Quantitation of muscle glycogen synthesis in normal subjects and subjects with non-insulin-dependent diabetes by 13C nuclear magnetic resonance spectroscopy. N Engl J Med 322, 223228.Google Scholar
37. DeFuria, J, Bennett, G, Strissel, KJ, et al. (2009) Dietary blueberry attenuates whole-body insulin resistance in high fat-fed mice by reducing adipocyte death and its inflammatory sequelae. J Nutr 139, 15101516.CrossRefGoogle ScholarPubMed
38. Chuang, CC, Shen, W, Chen, H, et al. (2012) Differential effects of grape powder and its extract on glucose tolerance and chronic inflammation in high-fat-fed obese mice. J Agric Food Chem 60, 1245812468.Google Scholar
Figure 0

Fig. 1 Black elderberry extract (BEE) reduces liver weight with no change in food intake or weight gain. Food intake (A) and body weight of animals (B) were measured weekly. Mean weight change was calculated after 16 weeks (C), and liver weight was measured at the time of killing (D) (n 8–16/group). Values are means with their standard errors represented by vertical bars. a,b,c Mean values with unlike letters were significantly different using post hoc comparisons (P<0·05). HFD, high-fat diet; LFD, low-fat diet. , LFD; , HFD; , 0·25 % BEE; , 1·25 % BEE.

Figure 1

Fig. 2 Black elderberry extract (BEE) reduces serum inflammation and insulin resistance. Serum cytokines/chemokines, adipokines and insulin were examined by multiplexing assays (A–C). homoeostasis model assessment of insulin resistance (HOMA-IR) was calculated as ((glucose mmol/l)×(insulin mU/l)/22.5) (D) (n 8–16/group). HFD, high-fat diet; LFD, low-fat diet; MCP-1, monocyte chemoattractant-1; PAI-1, plasminogen activator inhibitor-1. Values are means with their standard errors represented by vertical bars. a,b,c Mean values with unlike letters were significantly different using post hoc comparisons (P<0·05). , LFD; , HFD; , 0·25 % BEE; , 1·25 % BEE.

Figure 2

Table 1 Serum markers of C57BL/6J mice after 16 weeks (Mean values with their standard errors)

Figure 3

Fig. 3 Effect of black elderberry extract (BEE) on hepatic lipids and steatosis development. Liver haematoxylin–eosin (H&E) histology was performed as described in the Methods section (A) (n 8/group). Hepatic lipids were extracted with chloroform–methanol (2:1), dried under nitrogen at 60°C and solubilised in Triton X-100, as described in the Methods section. Cholesterol and TAG were measured by enzymatic methods (B, C) (n 8–16/group). Values are means with their standard errors represented by vertical bars. a,b Mean values with unlike letters were significantly different using post hoc comparisons (P<0·05). HFD, high-fat diet; LFD, low-fat diet.

Figure 4

Fig. 4 Black elderberry extract (BEE) reduces lipogenic mRNA expression in the liver. Hepatic mRNA expression was measured by real-time quantitative RT-PCR. Data were normalised to endogenous reference gene expression (n 8–16/group). ACAD, acyl-CoA dehydrogenase; ACC, acetyl-CoA carboxylase; ACOX, acyl-CoA oxidase 1; CPT1a, carnitine palmitoyltransferase 1α; FAS, fatty acid synthase; HFD, high-fat diet; LDLR, LDL receptor; LFD, low-fat diet; LXRa, liver X receptor α; SREBP1c, sterol regulatory element-binding protein 1c. Values are means with their standard errors represented by vertical bars. a,b Mean values with unlike letters were significantly different using post hoc comparisons (P<0·05). , LFD; , HFD; , 0·25 %; , 1·25 %.

Figure 5

Fig. 5 Effect of black elderberry extract (BEE) on adipose tissue inflammation and fibrosis. Epididymal adipose haematoxylin–eosin (H&E) (A) and Masson’s trichrome (C) staining was performed as described in the Methods section. Crown-like structures (CLS) were manually counted from adipose H&E stains and averaged across three random 200× high-powered fields (HPF) (B) (n 8/group). Adipose mRNA expression was measured by real-time quantitative RT-PCR. Data were normalised to endogenous reference gene expression (D) (n 16/group). AdipoQ, adiponectin; aP2, adipocyte protein 2; CD11c, integrin, αX (complement component 3 receptor 4 subunit); Col6a3, collagen, type VI, α3; F480, EGF-like module-containing mucin-like hormone receptor-like 1; HFD, high-fat diet; LFD, low-fat diet; LPL, lipoprotein lipase; MCP-1, monocyte chemoattractant-1; TGFβ, transforming growth factor-β. Values are means with their standard errors represented by vertical bars. a,b Mean values with unlike letters were significantly different using post hoc comparisons (P<0·05). , HFD; , 0·25 % BEE; , 1·25 % BEE.

Figure 6

Fig. 6 Effect of black elderberry extract (BEE) on skeletal muscle gene expression. Skeletal muscle mRNA was measured by real-time quantitative RT-PCR. Data were normalised to endogenous reference gene expression (n 8–16/group). ACAD, acyl-CoA dehydrogenase; ACOX, acyl-CoA oxidase 1; CD68, cluster of differentiation 68; HFD, high-fat diet; LFD, low-fat diet; LPL, lipoprotein lipase; MCP-1, monocyte chemoattractant-1. Values are means with their standard errors represented by vertical bars. a,b,c Mean values with unlike letters were significantly different using post hoc comparisons (P<0·05). , LFD; , HFD; , 0·25 % BEE; , 1·25 % BEE.

Supplementary material: File

Farrell supplementary material

Table S1

Download Farrell supplementary material(File)
File 14.4 KB