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Inulin oligofructose attenuates metabolic syndrome in high-carbohydrate, high-fat diet-fed rats

Published online by Cambridge University Press:  02 November 2016

Senthil A. Kumar
Affiliation:
Functional Foods Research Group, University of Southern Queensland, Toowoomba, Qld 4350, Australia
Leigh C. Ward
Affiliation:
School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Qld 4072, Australia
Lindsay Brown*
Affiliation:
Functional Foods Research Group, University of Southern Queensland, Toowoomba, Qld 4350, Australia School of Health and Wellbeing, University of Southern Queensland, Toowoomba, Qld 4350, Australia
*
*Corresponding author: Professor L. Brown, email Lindsay.Brown@usq.edu.au
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Abstract

Prebiotics alter bacterial content in the colon, and therefore could be useful for obesity management. We investigated the changes following addition of inulin oligofructose (IO) in the food of rats fed either a corn starch (C) diet or a high-carbohydrate, high-fat (H) diet as a model of diet-induced metabolic syndrome. IO did not affect food intake, but reduced body weight gain by 5·3 and 12·3 % in corn starch+inulin oligofructose (CIO) and high-carbohydrate, high-fat with inulin oligofructose (HIO) rats, respectively. IO reduced plasma concentrations of free fatty acids by 26·2 % and TAG by 75·8 % in HIO rats. IO increased faecal output by 93·2 %, faecal lipid excretion by 37·9 % and weight of caecum by 23·4 % and colon by 41·5 % in HIO rats. IO improved ileal morphology by reducing inflammation and improving the density of crypt cells in HIO rats. IO attenuated H diet-induced increases in abdominal fat pads (C 275 (sem 19), CIO 264 (sem 40), H 688 (sem 55), HIO 419 (sem 32) mg/mm tibial length), fasting blood glucose concentrations (C 4·5 (sem 0·1), CIO 4·2 (sem 0·1), H 5·2 (sem 0·1), HIO 4·3 (sem 0·1) mmol/l), systolic blood pressure (C 124 (sem 2), CIO 118 (sem 2), H 152 (sem 2), HIO 123 (sem 3) mmHg), left ventricular diastolic stiffness (C 22·9 (sem 0·6), CIO 22·9 (sem 0·5), H 27·8 (sem 0·5), HIO 22·6 (sem 1·2)) and plasma alanine transaminase (C 29·6 (sem 2·8), CIO 32·1 (sem 3·0), H 43·9 (sem 2·6), HIO 33·6 (sem 2·0) U/l). IO attenuated H-induced increases in inflammatory cell infiltration in the heart and liver, lipid droplets in the liver and plasma lipids as well as impaired glucose and insulin tolerance. These results suggest that increasing soluble fibre intake with IO improves signs of the metabolic syndrome by decreasing gastrointestinal carbohydrate and lipid uptake.

Type
Full Papers
Copyright
Copyright © The Authors 2016 

Functional foods are differentiated from other foods by their ability to improve health and well-being or reduce the risk of disease, in addition to providing adequate nutrition( Reference Granado-Lorencio and Hernández-Alvarez 1 , Reference Brown, Poudyal and Panchal 2 ). These foods increase the fibre content of the diet and include cereals, fruits, vegetables, dried beans and lentils. These fibre-containing foods contain fructan-type oligosaccharides such as inulin, an important dietary component since pre-historic times( Reference Leach and Sobolik 3 ). Food fibre may act as a prebiotic by being resistant to gastric acidity and enzymes such as α-glucosidase, maltase, isomaltase and sucrase, and then undergoing fermentation by bacteria in the colon to SCFA that promote the growth of Bifidobacterium and Lactobacillus species( Reference Florowska, Krygier and Florowski 4 ). These changes in the gut bacteria are associated with prevention or postponement of CVD with hypercholesterolaemia, osteoporosis, diabetes, gastrointestinal infections and gut inflammation( Reference Florowska, Krygier and Florowski 4 ). The WHO-recommended consumption of dietary fibre of 25 g/d is rarely achieved in many countries, such as those with Western-style diets including the USA with an estimated average fibre intake of 15 g/d( Reference Jones 5 ). Dietary consumption of inulin has been reported as 1–4 g/d in the USA and 3–11 g/d in Europe, below the tolerated dose of 10–20 g/d( Reference Bonnema, Kolberg and Thomas 6 ). Commercially, inulin is mostly extracted from chicory root, although it is present in many foods such as wheat, onions, bananas, Jerusalem artichoke and leeks; inulin has widespread uses in the pharmaceutical industry( Reference Mensink, Frijlink and van der Voort Maarschalk 7 ). Inulin is a mixture of linear fructose polymers or fructans of two to sixty units each linked by unique β ( Reference Brown, Poudyal and Panchal 2 Reference Granado-Lorencio and Hernández-Alvarez 1 ) bonds with a glucose unit linked by an α ( Reference Granado-Lorencio and Hernández-Alvarez 1 Reference Brown, Poudyal and Panchal 2 ) bond at the end of each chain( Reference Mensink, Frijlink and van der Voort Maarschalk 8 , Reference Niness 9 ). These β ( Reference Brown, Poudyal and Panchal 2 Reference Granado-Lorencio and Hernández-Alvarez 1 ) bonds cannot be hydrolysed by salivary or pancreatic enzymes as with typical carbohydrates, and therefore inulin has a reduced energy value as well as dietary prebiotic effects( Reference Mensink, Frijlink and van der Voort Maarschalk 8 , Reference Niness 9 ). Oligofructose, a term describing fructo-oligosaccharides, refers to a hydrolysed form of inulin with two–ten monosaccharide units, possibly with a glucose terminal unit( Reference Mensink, Frijlink and van der Voort Maarschalk 8 ). Functional foods have been studied as possible lifestyle changes to control obesity and reduce associated health risks( Reference Niness 9 ). Obesity and dyslipidaemia are important facets of the metabolic syndrome. Intervention with inulin oligofructose (IO) decreased energy intake and fat mass in rats fed a high-fat diet( Reference Maurer, Eller and Hallam 10 ), promoted satiety( Reference Cani, Dewever and Delzenne 11 , Reference Cani, Neyrinck and Maton 12 ) and improved lipid metabolism, although results in humans have been less consistent( Reference Beylot 13 ).

Rats fed a high-carbohydrate, high-fat diet mimic the cardiovascular, liver and metabolic changes of the metabolic syndrome in humans( Reference Panchal, Poudyal and Iyer 14 ). In this study, we have determined whether addition of IO as a dietary intervention reversed the responses to this obesogenic diet in rats. Gastrointestinal, metabolic, liver and cardiovascular parameters were measured for this comparison. Orafti (R) Synergy1 is an oligofructose-enriched inulin mixture comprised of 92 (sem 2) % IO as a blended mixture of equal parts of inulin and oligofructose( Reference Coudray, Tressol and Gueux 15 , Reference Roberfroid 16 ). Our hypothesis was that addition of IO will reverse obesity-related changes to the gastrointestinal tract leading to reversal of changes in abdominal fat pads, systolic blood pressure (SBP), heart and liver structure and function, and reduced infiltration of inflammatory cells in our rat model of the metabolic syndrome.

Methods

Rats and diets

Male Wistar rats (n 48, 8–9 weeks old; initial body weight 336 (sem 2) g) supplied by the Animal Resource Centre in Perth, Australia, were individually housed in a temperature-controlled (20±2°C), 12-h light–12 h dark cycle environment with free access to water and rat diet at the University of Southern Queensland Animal House. All the experiments were approved by the Animal Ethics Committees of The University of Queensland and the University of Southern Queensland under the guidelines of the National Health and Medical Research Council of Australia. Rats were randomly divided into four groups (twelve each) and fed corn starch (C), corn starch +5 % inulin oligofructose (CIO), a high-carbohydrate, high-fat diet (H) and a high-carbohydrate, high-fat+inulin oligofructose diet (HIO).

Body weight and food and water intakes were measured daily, and feed efficiency (%) was calculated( Reference Panchal, Poudyal and Iyer 14 , Reference Poudyal, Panchal and Brown 17 ). The preparation and macronutrient composition of basal diets, including the dietary fatty acid profiles, have been detailed previously( Reference Panchal, Poudyal and Iyer 14 , Reference Poudyal, Panchal and Ward 18 ). The IO-containing diets were prepared by adding 5 % of IO replacing an equivalent amount of water in the diet. The IO diets were administered for 8 weeks, starting 8 weeks after initiation of the corn starch or high-carbohydrate, high-fat diet. Drinking water for H and HIO rats was augmented with 25 % fructose for the duration of the study.

Cardiovascular measurements

SBP was measured under light sedation with Zoletil (tiletamine 15 mg/kg, zolazepam 15 mg/kg by intraperitoneal injection; Virbac), using a MLT1010 Piezo-Electric Pulse Transducer and an inflatable tail-cuff connected to a MLT844 Physiological Pressure Transducer using PowerLab data acquisition unit (AD Instruments Australia and Pacific Islands)( Reference Panchal, Poudyal and Iyer 14 , Reference Poudyal, Panchal and Brown 17 ).

Echocardiographic examination (Philips/Hewlett Packard Sonos 5500, 12 MHz transducer; Philips Healthcare) was performed at 16 weeks( Reference Panchal, Poudyal and Iyer 14 , Reference Poudyal, Panchal and Brown 17 ). The ventricular contractility indices were calculated, including ratio of SBP:left ventricular internal diameter in systole (LVIDs), ratio of SBP:systolic volume and ratio of end-systolic stress (ESS):LVIDs( Reference Panchal, Poudyal and Iyer 14 , Reference de Simone, di Lorenzo and Costantino 19 ). Left ventricular (LV) function of rats was assessed using the Langendorff heart preparation( Reference Panchal, Poudyal and Iyer 14 , Reference Poudyal, Panchal and Brown 17 ). Terminal anaesthesia was induced via intraperitoneal injection of pentobarbitone sodium (Lethabarb®, 100 mg/kg). Heparin (200 IU; Sigma-Aldrich Australia) was administered through the right femoral vein before blood (approximately 5 ml) was taken from the abdominal aorta. Isovolumetric ventricular function was measured by inserting a latex balloon catheter into the left ventricle of the isolated heart connected to a Capto SP844 MLT844 physiological pressure transducer and Chart software on a MacLab system (AD Instruments Australia and Pacific Islands)( Reference Panchal, Poudyal and Iyer 14 Reference Roberfroid 16 ).

Aortic contraction was determined using thoracic aortic rings (approximately 4 mm in length) suspended in an organ bath chamber with a resting tension of approximately 10 mN. Cumulative concentration–response (contraction) curves were measured for noradrenaline (Sigma-Aldrich Australia); concentration–response (relaxation) curves were measured for acetylcholine (Sigma-Aldrich Australia) or sodium nitroprusside (Sigma-Aldrich Australia) in the presence of a submaximal (70 %) contraction to noradrenaline( Reference Panchal, Poudyal and Iyer 14 , Reference Poudyal, Panchal and Brown 17 ).

Oral glucose and insulin tolerance tests

For oral glucose tolerance test, basal blood glucose concentrations were measured in blood collected from the tail veins of overnight food-deprived rats using Medisense Precision Q.I.D glucose meter (Abbott Laboratories). Fructose-supplemented drinking water in the H and HIO groups was replaced with normal water for the overnight food-deprivation period( Reference Panchal, Poudyal and Iyer 14 , Reference Kumar, Magnusson and Ward 20 ). Rats were administered 2 g/kg body weight of glucose as a 40 % aqueous solution via oral gavage. Tail vein blood samples were collected at 30, 60, 90 and 120 min following glucose administration. Insulin tolerance testing was performed after 5 h of food deprivation in rats administered an intraperitoneal injection of 0·33 IU insulin/kg body weight. Tail vein blood samples were collected at 15, 30, 45, 60, 90 and 120 min for blood glucose measurements after intraperitoneal insulin administration( Reference Panchal, Poudyal and Iyer 14 , Reference Kumar, Magnusson and Ward 20 ).

Body composition measurements

Dual energy X-ray absorptiometric (DXA) measurements were performed on rats after 16 weeks of feeding, 2 d before rats were euthanised for pathophysiological assessments, using a Norland XR36 DXA instrument (Norland Corp.). DXA scans were analysed using the manufacturer’s recommended software for use in laboratory animals (Small Subject Analysis Software, version 2.5.3/1.3.1; Norland Corp.)( Reference Panchal, Poudyal and Iyer 14 ). The precision error of lean mass for replicate measurements, with repositioning, was 3·2 %. The visceral adiposity index (%) was calculated( Reference Panchal, Poudyal and Iyer 14 , Reference Poudyal, Panchal and Brown 17 ).

Organ measurements

The right and left ventricles were separated following perfusion experiments and weighed. Liver and retroperitoneal, epididymal and omental fat pads were dissected following heart removal and blotted dry for weighing. Organ weights were normalised relative to the tibial length at the time of their removal (in mg/mm)( Reference Panchal, Poudyal and Iyer 14 , Reference Poudyal, Panchal and Brown 17 ). The stomach, small intestine, caecum and colon weight with contents were weighed and measured. Weights were normalised relative to the tibial length at the time of their removal (in mg/mm). The lengths of the small intestine and colon (proximal and distal colon) were measured using a standard ruler( Reference Delmée, Cani and Gual 21 , Reference Adam, Williams and Garden 22 ).

Lipid excretion and faecal output analysis

After 16 weeks, C, CIO, H and HIO rats (six each) were individually housed in metabolic cages for 12 h, with the same food and water. Faeces from individual rats were collected, weighed and stored in an airtight, sealed container at −20°C for later measurements. The faecal samples were powdered using a mortar and pestle. Dietary lipids were extracted from 1 g of powdered faecal material by manual solvent extraction using a 2:1 chloroform–methanol mixture with 0·1 % vitamin E as an antioxidant. The solvent faecal matter was mixed on a rotating device for 40 min with 20-ml chloroform–methanol solvent and then centrifuged at 2500 rpm for 5 min. The extraction procedure was repeated twice with subsequent washing with double-distilled water to remove all polar material. Extracts were pooled, and the chloroform–methanol solution was evaporated under a stream of N2 on a hot plate at 60°C until the beakers reached constant weight, allowing calculation of gravimetric extractable lipid content( Reference Folch, Lees and Sloane Stanley 23 ). The percentage lipid excretion was calculated using the following formula: ((amount of lipid excreted (g)/total amount of lipid consumed (g))×100)). The amount of extractable lipids present in either C or H diets (6·2 and 187 g/kg diet, respectively) was determined( Reference Poudyal, Panchal and Waanders 24 ).

Histology

Only two rats per group were allocated for histological analysis; two slides were prepared for each tissue specimen, and two random, non-overlapping fields per slide were obtained. Immediately after removal, heart and liver tissues were fixed in 10 % neutral buffered formalin for 3 d and then dehydrated and embedded in paraffin wax( Reference Panchal, Poudyal and Iyer 14 , Reference Poudyal, Panchal and Waanders 24 ). Thin sections (5 μm) of the left ventricle and the liver were cut and stained with haematoxylin–eosin stain for determining inflammatory cell infiltration with 20× and fat vacuole enlargement with 20× objectives using an Olympus BX51 microscope (Olympus). Collagen distribution was evaluated in the left ventricle with picrosirius red stain. Laser confocal microscopy (Zeiss LSM 510 upright Confocal Microscope; Carl Zeiss) with colour intensity quantified using NIH-imageJ software (National Institute of Health) was used to determine the extent of collagen deposition in the selected tissue sections( Reference Panchal, Poudyal and Iyer 14 , Reference Poudyal, Panchal and Waanders 24 ). Faecal matter-free ileal tissue segments were removed from the mesenteric border by rinsing and fixed in 10 % neutral buffered formalin for 3 d, dehydrated and embedded in paraffin wax( Reference Panchal, Poudyal and Iyer 14 , Reference Poudyal, Panchal and Waanders 24 ). The ileal segments were cut at 5-μm thickness and stained with haematoxylin–eosin for determining inflammatory cell infiltration, mucosal thickening, gland (crypts) cell proliferation and morphology with 20× objective using an Olympus BX51 microscope (Olympus)( Reference Sagher, Dodge and Johnston 25 , Reference Kerem, Salman and Pasaoglu 26 ).

Plasma analyses

Blood samples were centrifuged at 5000 g for 15 min within 30 min of collection into heparinised tubes. Plasma samples were separated and transferred to Eppendorf tubes for storage at −20°C before analysis. Activities of plasma liver enzymes, alanine transaminase (ALT) and aspartate transaminase (AST), and concentrations of plasma analytes including NEFA, TAG and total cholesterol were determined using kits and controls supplied by Olympus using an Olympus analyser (AU 400)( Reference Panchal, Poudyal and Iyer 14 , Reference Poudyal, Panchal and Waanders 24 ).

Inulin oligofructose mixture

Orafti Synergy1, an oligofructose-enriched inulin mixture( Reference Coudray, Tressol and Gueux 15 ), supplied by Invita Australia Pty Ltd, contained 92 (sem 2) g of oligofructose+inulin, 8 (sem 2) g of sugars (glucose+fructose+sucrose) and sulphated ash content <0·2 g/100 g. The energy value of Synergy1 mixture was 693 kJ/100 g of powdered mixture.

Statistical analysis

All data are presented as means with their standard errors. Results were tested for variance using Bartlett’s test, and variables that were not normally distributed were transformed (using log 10 function) before statistical analyses. Data from C, CIO, H and HIO rats were tested by two-way ANOVA. When interaction and/or the main effects were significant, means were compared using Newman–Keuls multiple comparison post hoc test. Where transformations did not result in normality or constant variance, a Kruskal–Wallis non-parametric test was performed. A P value of <0·05 was considered as statistically significant. All statistical analyses were performed using GraphPad Prism version 5.00 for Windows.

Results

Inulin oligofructose treatment on food intake, body weight, plasma lipid profile and fat mass

Feeding a high-energy diet together with fructose-supplemented drinking water reduced food and water intake in H and HIO rats compared with C and CIO rats (Table 1). IO in CIO and HIO rats did not change food or water intake, compared with the respective C and H rats (Table 1). With increased energy in the diet, H rats increased energy intake with a corresponding increase in feed conversion efficiency and body weight gain compared with C and CIO rats (Table 1). IO did not change energy intake in HIO rats, but increased energy intake in CIO rats compared with C rats (Table 1). IO attenuated body weight gain with reduced feed conversion efficiency in CIO or HIO rats (Table 1).

Table 1 Dietary intakes, plasma lipid profile and lipid output (Mean values with their standard errors; eight to ten rats per group)

C, corn starch; CIO, corn starch+inulin oligofructose; H, high carbohydrate, high fat; HIO, high carbohydrate, high fat+inulin oligofructose.

a,b,c Mean values within a row with unlike superscript letters were significantly different (P<0·05).

* Body weight gain percentage calculated as percentage of body weight increased from 8 to 16 weeks for all groups.

The high-energy diet with increased simple carbohydrates and SFA increased the plasma concentrations of TAG, NEFA and total cholesterol in H rats compared with C rats (Table 1). IO improved the lipid profile with reduced plasma concentration of TAG and NEFA in HIO rats, whereas in CIO rats plasma NEFA concentrations increased compared with C rats (Table 1). However, plasma cholesterol concentrations remained unchanged in CIO and HIO rats compared with C and H rats (Table 1).

H rats had increased total body fat, abdominal fat mass and abdominal circumference compared with C rats (Table 2). IO reduced abdominal (39 %) and total body fat mass (42 %) associated with reduced abdominal circumference (11 %) in HIO rats (Table 2). IO reduced total body fat mass (27 %) in CIO compared with C rats without changing abdominal circumference (Table 2).

Table 2 Fat mass developmentFootnote * (Mean values with their standard errors; eight to ten rats per group)

C, corn starch; CIO, corn starch+inulin oligofructose; H, high carbohydrate, high fat; HIO, high carbohydrate, high fat+inulin oligofructose.

a,b,c Mean values within a row with unlike superscript letters were significantly different (P<0·05).

* Body weight gain percentage calculated as percentage of body weight increased from 8 to 16 weeks for all groups.

Inulin oligofructose treatment on gut morphology and function and faecal output

H rats had increased weight of stomach, small intestine, caecum and colon with contents as well as total weight compared with C rats (Table 3). H rats showed elongated ileal crypt cells with a reduced density and an increased intestinal ileal inflammation compared with C rats (Fig. 1(a) and (c)). IO increased caecum and colon weights in CIO and HIO rats (Table 3). Stool production increased by 1·9 or 1·7 g/12 h in CIO and HIO rats compared with C and H rats (Table 3). IO improved gut morphology with reduced intestinal ileal inflammation, enhanced density of crypt cells with no signs of elongation and improved villi morphology in HIO rats compared with H rats (Fig. 1(c) and (d)). Furthermore, no changes were observed in the length of gastrointestinal segments (Table 3).

Fig. 1 Haematoxylin–eosin staining of the ileum (×20) showing inflammatory cells infiltration (a–d), with inflammatory cells marked as ‘in’, crypt cells (a–d) marked as ‘cry’, villi (a–d) marked as ‘vi’ and mucosal thickening (a–d) marked as ‘mt’ in rats fed corn starch diet (a), corn starch diet+inulin oligofructose (b), high-carbohydrate, high-fat diet (c), high-carbohydrate, high-fat diet+inulin oligofructose (d).

Table 3 Gastrointestinal weight and faecal outputFootnote * (Mean values with their standard errors; ten rats per group)

C, corn starch; CIO, corn starch+inulin oligofructose; H, high carbohydrate, high fat; HIO, high carbohydrate, high fat+inulin oligofructose.

a,b,c,d Mean values within a row with unlike superscript letters were significantly different (P<0·05).

* Tissue wet weights were normalised with the tibial length (mg/mm).

Inulin oligofructose treatment on liver structure and function and glucose and insulin responses

H-rats showed increased liver weights (Table 4) with enhanced fat accumulation and infiltration of inflammatory cells (Fig. 2(a), (c), (e) and (g)) as well as increased plasma activities of the liver enzymes, ALT and AST, compared with C rats (Table 4). IO decreased liver weight by 16·7 % and reversed all other liver changes in HIO rats (Table 4; Fig. 2(c), (d), (g) and (h)).

Fig. 2 Haematoxylin–eosin staining of hepatocytes (×20) showing hepatocytes with enlarged fat vacuoles ((a–d), fat vacuoles marked as ‘fv’) and inflammatory cells infiltration ((e–h), inflammatory cells marked as ‘in’) (20×) in rats fed corn starch diet (a, e), corn starch diet+inulin oligofructose (b, f), high-carbohydrate, high-fat diet (c, g), high-carbohydrate, high-fat diet+inulin oligofructose (d, h).

Table 4 Hepatic structure and function and glycaemic profile (Mean values with their standard errors; eight to ten rats per group)

C, corn starch; CIO, corn starch+inulin oligofructose; H, high carbohydrate, high fat; HIO, high carbohydrate, high fat+inulin oligofructose; ALT, alanine transaminase; AST, aspartate transaminase; OGTT, oral glucose tolerance; ITT, insulin tolerance.

a,b,c Mean values within a row with unlike superscript letters were significantly different (P<0·05).

Hyperglycaemia, impaired oral glucose tolerance and insulin resistance were measured in H rats compared with C and CIO rats (Table 4). IO improved the blood glucose profile with reduced fasting blood glucose concentrations associated with improved oral glucose tolerance and insulin tolerance in HIO rats compared with H rats (Table 4).

Inulin oligofructose treatment on cardiovascular structure and function

H rats showed increased SBP (Table 5) as well as decreased endothelium-dependent relaxation to acetylcholine (Fig. 3(C)) and endothelium-independent relaxation to sodium nitroprusside (Fig. 3(B)) compared with C and CIO rats (Table 5). IO decreased SBP (Table 5) and increased vascular relaxant responses to both acetylcholine and sodium nitroprusside, compared with H rats (Fig. 3(C) and (B)). Using echocardiographic examination, most of the cardiovascular parameters remained unchanged, but increased SBP:LVIDs and ESS:LVIDs ratios demonstrated that increased LV contractility was observed in H rats compared with C rats (Table 5). IO treatment may improve LV contractility with the normalised SBP:LVIDs and ESS:LVIDs ratios in HIO rats, compared with the H rats (Table 5). The improvement in LV contractility with IO treatment did not change either heart weight or left ventricle+septum weight measurements in HIO rats (Table 5). LV diastolic stiffness was increased in H rats and normalised in HIO rats (Table 5). H rats showed increased infiltration of inflammatory cells accompanied by enhanced collagen deposition in the left ventricle compared with C and CIO rats (Fig. 4(a), (b), (c), (e), (f) and (g)). Minimal inflammatory cell infiltration and markedly reduced collagen deposition were observed in HIO rats (Fig. 4(c), (d), (g) and (h)).

Fig. 3 Cumulative concentration–response curves for noradrenaline (A), sodium nitroprusside (B) and acetylcholine (C) in thoracic aortic rings from rats fed corn starch (C, ), corn starch+inulin oligofructose (CIO, ), high-carbohydrate, high-fat diet (H, ), high-carbohydrate, high-fat+inulin oligofructose diet (HIO, ). Values are means, ten rats per group, with their standard errors represented by vertical bars. a,b Mean values with unlike letters are significantly different (P<0·05).

Fig. 4 Haematoxylin–eosin staining of the left ventricle (×20) showing infiltration of inflammatory cells ((a–d), inflammatory cells marked as ‘in’) in rats fed corn starch diet (a), corn starch diet+inulin oligofructose (b), high-carbohydrate, high-fat diet (c), high-carbohydrate, high-fat diet+inulin oligofructose (d). Picrosirius red staining of left ventricular interstitial collagen deposition ((e–h), fibrosis marked as ‘fi’) (20×) in rats fed corn starch diet (e), corn starch diet+inulin oligofructose (f), high-carbohydrate, high-fat diet (g), high-carbohydrate, high-fat diet+inulin oligofructose (h).

Table 5 Cardiovascular structure and function (Mean values with their standard errors)

C, corn starch; CIO, corn starch+inulin oligofructose; H, high carbohydrate, high fat; HIO, high carbohydrate, high fat+inulin oligofructose; LVIDd, left ventricular internal diameter thickness in diastole; LVIDs, left ventricular internal diameter thickness in systole; IVSd, interventricular septum thickness in diastole; IVSs, interventricular septum thickness in systole; LVPWd, left ventricular posterior wall thickness in diastole; LVPWs, left ventricular posterior wall thickness in systole; ESS, end-systolic stress; LV, left ventricular; RV, right ventricular.

a,b Mean values within a row with unlike superscript letters were significantly different (P<0·05).

* Tissue wet weights were normalised with the tibial length (mg/mm).

Discussion

Intervention with IO in rats fed a high-carbohydrate, high-fat diet improved gastrointestinal structure and function in this study. We propose that these gastrointestinal changes led to improvement in signs of the metabolic syndrome, allowing this non-absorbed prebiotic to be defined as a functional food for this syndrome. We showed that IO did not affect food intake but attenuated weight gain, potentially due to increased faecal loss, as an increase in colonic motility( Reference Roberfroid 27 ) enhanced energy excretion( Reference Jacobsen, Lorenzen and Toubro 28 ). Increased faecal lipid excretion in H rats treated with IO is indirect evidence for incomplete intestinal fatty acid absorption( Reference Roberfroid 27 ). The total energy expenditure mediated via increased oxidation of endogenous fat may be increased to compensate for this faecal energy loss accompanied by increased faecal lipid excretion( Reference Friedrich, Petzke and Raederstorff 29 , Reference Shin, Zheng and Townsend 30 ), thus reducing total body fat as well as abdominal fat mass in HIO rats( Reference Westerterp, Smeets and Lejeune 31 ) (Table 2). Our results differ from previous studies using rodents where supplementation with 10–20 % inulin and oligofructose in comparison with 5 % in this study prevented weight gain and increased fat mass by reducing food intake via up-regulating the expression of satiety hormones such as glucagon-like peptide-1 and peptide YY( Reference Delzenne, Cani and Neyrinck 32 Reference Verhoef, Meyer and Westerterp 34 ). Increased doses of inulin as a viscous solution may produce stomach distension by increasing retention of water, thereby triggering the vagal responses associated with satiety. The lower dose in our study may improve gastrointestinal motility without stimulation of vagal signals, thus not affecting appetite and food intake( Reference Chaudhri, Salem and Murphy 35 , Reference Slavin 36 ).

Inulin and oligofructose have been reported as effective dietary fibre producing minimal digestion in the stomach but increased fermentation in the colon; these characteristics are likely to provide physiological benefits to metabolically impaired patients, especially for the management of obesity( Reference Slavin 36 Reference Akalin and Erisir 38 ). Consumption of high-fat diets gradually slows down gastric emptying because of the suppression of gastrointestinal motility( Reference Little, Horowitz and Feinle-Bisset 39 , Reference Park, Kwon and Ahn 40 ). This is reflected in our study, as high-carbohydrate, high-fat feeding increased stomach weight by 66 % and small intestine weight by 20 % (Table 3). IO also increased caecal weight with contents (19–23 %) (Table 3); this change has been directly linked to the increase in caecal pool size accelerated by colonic fermentation of IO that produces short-chain carboxylic acids such as acetate, butyrate and propionate( Reference Roberfroid and Delzenne 41 ) and decreases caecal pH( Reference Kaur and Gupta 37 , Reference Lobo, Filho and Alvares 42 ). Further, the fermentation of IO improved intestinal colonic motility( Reference Roberfroid 16 ), shown by increased colon weight with contents and higher stool production( Reference Roberfroid 27 , Reference Kaur and Gupta 37 ) (Table 3) in IO rats. This improvement in gastrointestinal motility with IO is likely to be associated with increased growth of beneficial gut microbes( Reference Madden and Hunter 43 ). Oral treatment with inulin and oligofructose as a prebiotic mixture promoted the growth of Bifidobacterium and Lactobacillus, with softer stool production likely to improve the innate and adaptive immune responses of younger children( Reference Veereman 44 ). Similarly, high dietary fibre treatment that comprised soluble prebiotics including fiberosol-2, fructose-oligosaccharides and oligo-isomaltose improved gut ecology with an increased population count of Bifidobacterium pseudocatenulatum in morbidly obese children of both genetic obesity and diet-induced obesity phenotypes( Reference Zhang, Yin and Li 45 ). This improvement in the gut microbiota profile reversed the dysmicrobiota-mediated toxic metabolite production accompanied by reduced body weight gain and improved metabolic profile in these children( Reference Zhang, Yin and Li 45 ).

The higher recruitment of lipopolysaccharide (LPS)-containing gut microbes( Reference Brun, Castagliuolo and Di Leo 46 ) expected in H diet-induced changes in gut flora decreased mucosal ileal wall thickness( Reference Brun, Castagliuolo and Di Leo 46 , Reference Cani, Bibiloni and Knauf 47 ) with more inflammation in the intestinal ileum( Reference DiBaise, Frank and Mathur 48 , Reference Ghanim, Abuaysheh and Sia 49 ), as shown in our study. The growth of bifidobacteria should be enhanced by IO( Reference Roberfroid and Delzenne 41 ) as well as by attenuation of obesity( Reference Stenman, Waget and Garret 50 , Reference Griffiths, Duffy and Schanbacher 51 ) and prevention of LPS-induced infiltration of inflammatory cells in the intestinal ileum( Reference Lau, Kalantar-Zadeh and Vaziri 64 ), as in this study. Increased bifidobacteria could attenuate the high-fat diet-induced translocation of LPS-containing gut microbes( Reference Rodes, Saha and Tomaro-Duchesneau 52 , Reference Amar, Chabo and Waget 53 ) to improve gut-barrier function with reduced intestinal ileal inflammation in HIO rats. Further, increased secretion of gut hormones such as glucagon-like peptide-2 with IO may lead to improved density of ileal crypt cells and villi morphology( Reference Janssen, Rotondo and Mule 54 , Reference Cani, Possemiers and Van de Wiele 55 ) as in our study.

We also showed that IO improved insulin sensitivity and glucose uptake, likely associated with diminished absorption of ingested carbohydrates with decreased small intestinal transit time( Reference Roberfroid 27 , Reference Kaur and Gupta 37 ). Further, the likely increase in propionate production and absorption from the colon with IO may reduce plasma concentrations of free fatty acids, and therefore inhibit hepatic glucose production in HIO rats( Reference Nilsson, Ostman and Preston 56 Reference Lee, Park and Kim 58 ). In contrast to our study, neither inulin nor oligofructose produced anti-hyperglycaemic effects in rodents or humans, but the mechanisms of action to improve glucose disposal and insulin sensitivity remain poorly understood( Reference Kaur and Gupta 37 ). The attenuation of total body fat mass accumulation including visceral adiposity development by IO is the likely reason for the improved lipid profile( Reference Stanhope and Havel 59 ) that prevented the incidence of non-alcoholic fatty liver disease with reduced inflammatory cell infiltration of hepatocytes in HIO rats( Reference Weisberg, McCann and Desai 60 Reference Fabbrini, Sullivan and Klein 62 ). IO supplementation in HIO rats improving ileal gut morphology is likely to prevent the release and uptake of bacterial endotoxins such as LPS through a leaky gut barrier and the associated chronic systemic inflammation( Reference Hietbrink, Besselink and Renooij 63 , Reference Lau, Kalantar-Zadeh and Vaziri 64 ); this may precede the adipose tissue inflammation upon H diet feeding( Reference Huang, Leone and Devkota 65 ). The reduction in endotoxaemia-mediated systemic inflammation( Reference Hietbrink, Besselink and Renooij 63 , Reference Gregor and Hotamisligil 66 ) shown as reduced infiltration of inflammatory cells in the intestinal ileum, heart and liver tissues may attenuate the increased SBP with an improved vascular function in HIO rats( Reference Barbaro, Fontana and Modolo 67 , Reference Pietri, Vyssoulis and Vlachopoulos 68 ). Concomitantly, an anticipated reduction in leaky-gut-mediated systemic inflammation, which may be regulated by LPS-activated Toll-like receptor 4 signalling pathway in either parenchyma or bone marrow cells( Reference Huang, Leone and Devkota 65 , Reference Juskewitch, Knudsen and Platt 69 ), may contribute to the reduced LV stiffness accompanied by reduced infiltration of inflammatory cells( Reference Gregor and Hotamisligil 66 ) and collagen deposition in the left ventricle in HIO rats( Reference Kararigas, Dworatzek and Petrov 70 , Reference Nicoletti and Michel 71 ). Further studies could confirm the LPS-induced systemic inflammation by measuring increased plasma or tissue concentrations of pro-inflammatory cytokines such as monocyte chemo-attractant protein 1, IL-6, interferon-γ or TNF-α ( Reference Juskewitch, Knudsen and Platt 69 ). With this improvement in cardiovascular structure, LV contractility was normalised showing improved cardiovascular structure and function in HIO rats. IO is an effective prebiotic that causes improvements in ileal gut morphology and reduction in intestinal ileal inflammation correlating with improvement in cardiovascular structure and function in HIO rats.

The Dietitians Association of Australia recommend a daily fibre intake of 25–30 g( 72 ). The human intake calculated from the intake of IO in HIO rats would be 23·5–37·5 g/d based on surface area comparisons( Reference Reagan-Shaw, Nihal and Ahmad 73 ), meeting these recommendations. As a comparison, metabolic profiles were improved with a marked decrease in body weight by altering the dysbiosis of gut microbiota by administration of 49–51 g/d to children with Prader–Willi syndrome or simple obesity( Reference Zhang, Yin and Li 45 ).

In conclusion, our results indicate that IO treatment contributed to the attenuation of H diet-induced metabolic complications in HIO rats by improving gut structure and function. IO treatment was associated with reduction in visceral adiposity development; improvement in impaired oral glucose and insulin tolerance, lipid profile, liver structure and function; reduction in infiltration of inflammatory cells into the heart and liver; reduction in SBP with an improved vascular function; and improved cardiovascular structure and function with an improved LV contractility. This model mimics the changes in diet-induced obesity in humans( Reference Panchal, Poudyal and Iyer 14 ) and we have used a dose recommended for humans( Reference Barbaro, Fontana and Modolo 67 ). Thus, our results suggest that this dose of about 30 g IO/d would be sufficient to ameliorate diet-induced metabolic complications in adult humans. Further studies could include analysis of the gut microbiome to determine bacteria that are most affected by chronic IO treatment.

Acknowledgements

The authors thank Jason Brightwell (MetroNorth Hospital and Health Service, Brisbane) for the echocardiography measurements in rats.

This study was supported by the University of Southern Queensland Strategic Research Fund (SRF09, L. B. and S. A. K.). The commercial inulin oligofructose mixture (Orafti Synergy1) was provided by Tony Read Shaw, Invita Australia Pty Ltd. The SRF and Invita Australia had no role in the design, analysis or writing of this article.

L. B. and S. A. K. developed the original study aims, interpreted the data and prepared manuscript drafts; S. A. K. conducted the experiments and analysed the data. L. C. W. undertook dual energy X-ray absorptiometry, provided nutritional advice and interpreted the data. L. B. has been the corresponding author throughout the writing process. All authors read and approved the final manuscript.

The authors declare that there are no conflicts of interest.

References

1. Granado-Lorencio, F & Hernández-Alvarez, E (2016) Functional foods and health effects: a nutritional biochemistry perspective. Curr Med Chem (epublication ahead of print version 14 June 2016).Google Scholar
2. Brown, L, Poudyal, H & Panchal, SK (2015) Functional foods as potential therapeutic options for metabolic syndrome. Obes Rev 16, 914941.Google Scholar
3. Leach, JD & Sobolik, KD (2010) High dietary intake of prebiotic inulin-type fructans in the prehistoric Chihuahuan Desert. Br J Nutr 103, 15581561.Google Scholar
4. Florowska, A, Krygier, K, Florowski, T, et al. (2016) Prebiotics as functional food ingredients preventing diet-related diseases. Food Funct 18, 21472155.Google Scholar
5. Jones, JM (2014) CODEX-aligned dietary fiber definitions help to bridge the ‘fiber gap’. Nutr J 13, 34.Google Scholar
6. Bonnema, AL, Kolberg, LW, Thomas, W, et al. (2010) Gastrointestinal tolerance of chicory inulin products. J Am Diet Assoc 110, 865868.CrossRefGoogle ScholarPubMed
7. Mensink, MA, Frijlink, HW, van der Voort Maarschalk, K, et al. (2015) Inulin, a flexible oligosaccharide II: review of its pharmaceutical applications. Carbohydr Polym 134, 418428.Google Scholar
8. Mensink, MA, Frijlink, HW, van der Voort Maarschalk, K, et al. (2015) Inulin, a flexible oligosaccharide I: review of its physicochemical characteristics. Carbohydr Polym 130, 405419.Google Scholar
9. Niness, KR (1999) Inulin and oligofructose: what are they? J Nutr 129, Suppl. 7, 1402S1406S.CrossRefGoogle Scholar
10. Maurer, AD, Eller, LK, Hallam, MC, et al. (2010) Consumption of diets high in prebiotic fiber or protein during growth influences the response to a high fat and sucrose diet in adulthood in rats. Nutr Metab (Lond) 7, 77.Google Scholar
11. Cani, PD, Dewever, C & Delzenne, NM (2004) Inulin-type fructans modulate gastrointestinal peptides involved in appetite regulation (glucagon-like peptide-1 and ghrelin) in rats. Br J Nutr 92, 521526.Google Scholar
12. Cani, PD, Neyrinck, AM, Maton, N, et al. (2005) Oligofructose promotes satiety in rats fed a high-fat diet: involvement of glucagon-like peptide-1. Obes Res 13, 10001007.Google Scholar
13. Beylot, M (2005) Effects of inulin-type fructans on lipid metabolism in man and in animal models. Br J Nutr 93, Suppl. 1, S163S168.Google Scholar
14. Panchal, SK, Poudyal, H, Iyer, A, et al. (2011) High-carbohydrate, high-fat diet-induced metabolic syndrome and cardiovascular remodeling in rats. J Cardiovasc Pharmacol 57, 611624.Google Scholar
15. Coudray, C, Tressol, JC, Gueux, E, et al. (2003) Effects of inulin-type fructans of different chain length and type of branching on intestinal absorption and balance of calcium and magnesium in rats. Eur J Nutr 42, 9198.CrossRefGoogle ScholarPubMed
16. Roberfroid, MB (2007) Inulin-type fructans: functional food ingredients. J Nutr 137, 2493S2502S.Google Scholar
17. Poudyal, H, Panchal, S & Brown, L (2010) Comparison of purple carrot juice and beta-carotene in a high-carbohydrate, high-fat diet-fed rat model of the metabolic syndrome. Br J Nutr 104, 13221332.Google Scholar
18. Poudyal, H, Panchal, SK, Ward, LC, et al. (2013) Effects of ALA, EPA and DHA in high-carbohydrate, high-fat diet-induced metabolic syndrome in rats. J Nutr Biochem 24, 10411052.Google Scholar
19. de Simone, G, di Lorenzo, L, Costantino, G, et al. (1988) Echocardiographic indexes of left ventricular contractility. Effect of load manipulation in arterial hypertension. Jpn Heart J 29, 151160.Google Scholar
20. Kumar, SA, Magnusson, M, Ward, LC, et al. (2015) Seaweed supplements normalise metabolic, cardiovascular and liver responses in high-carbohydrate, high-fat fed rats. Mar Drugs 13, 788805.Google Scholar
21. Delmée, E, Cani, PD, Gual, G, et al. (2006) Relation between colonic proglucagon expression and metabolic response to oligofructose in high fat diet-fed mice. Life Sci 79, 10071013.Google Scholar
22. Adam, CL, Williams, PA, Garden, KE, et al. (2015) Dose-dependent effects of a soluble dietary fibre (pectin) on food intake, adiposity, gut hypertrophy and gut satiety hormone secretion in rats. PLOS ONE 10, e0115438.Google Scholar
23. Folch, J, Lees, M & Sloane Stanley, GH (1957) A simple method for the isolation and purification of total lipides from animal tissues. J Biol Chem 226, 497509.Google Scholar
24. Poudyal, H, Panchal, SK, Waanders, J, et al. (2012) Lipid redistribution by alpha-linolenic acid-rich chia seed inhibits stearoyl-CoA desaturase-1 and induces cardiac and hepatic protection in diet-induced obese rats. J Nutr Biochem 23, 153162.Google Scholar
25. Sagher, FA, Dodge, JA, Johnston, CF, et al. (1991) Rat small intestinal morphology and tissue regulatory peptides: effects of high dietary fat. Br J Nutr 65, 2128.Google Scholar
26. Kerem, M, Salman, B, Pasaoglu, H, et al. (2008) Effects of microalgae Chlorella species crude extracts on intestinal adaptation in experimental short bowel syndrome. World J Gastroenterol 14, 45124517.Google Scholar
27. Roberfroid, M (1993) Dietary fiber, inulin, and oligofructose: a review comparing their physiological effects. Crit Rev Food Sci Nutr 33, 103148.Google Scholar
28. Jacobsen, R, Lorenzen, JK, Toubro, S, et al. (2005) Effect of short-term high dietary calcium intake on 24-h energy expenditure, fat oxidation, and fecal fat excretion. Int J Obes (Lond) 29, 292301.Google Scholar
29. Friedrich, M, Petzke, KJ, Raederstorff, D, et al. (2012) Acute effects of epigallocatechin gallate from green tea on oxidation and tissue incorporation of dietary lipids in mice fed a high-fat diet. Int J Obes (Lond) 36, 735743.Google Scholar
30. Shin, AC, Zheng, H, Townsend, RL, et al. (2013) Longitudinal assessment of food intake, fecal energy loss, and energy expenditure after Roux-en-Y gastric bypass surgery in high-fat-fed obese rats. Obes Surg 23, 531540.Google Scholar
31. Westerterp, KR, Smeets, A, Lejeune, MP, et al. (2008) Dietary fat oxidation as a function of body fat. Am J Clin Nutr 87, 132135.Google Scholar
32. Delzenne, NM, Cani, PD & Neyrinck, AM (2007) Modulation of glucagon-like peptide 1 and energy metabolism by inulin and oligofructose: experimental data. J Nutr 137, 2547S2551S.Google Scholar
33. Parnell, JA & Reimer, RA (2012) Prebiotic fibres dose-dependently increase satiety hormones and alter Bacteroidetes and Firmicutes in lean and obese JCR:LA-cp rats. Br J Nutr 107, 601613.Google Scholar
34. Verhoef, SP, Meyer, D & Westerterp, KR (2011) Effects of oligofructose on appetite profile, glucagon-like peptide 1 and peptide YY3-36 concentrations and energy intake. Br J Nutr 106, 17571762.Google Scholar
35. Chaudhri, OB, Salem, V, Murphy, KG, et al. (2008) Gastrointestinal satiety signals. Annu Rev Physiol 70, 239255.Google Scholar
36. Slavin, J (2013) Fiber and prebiotics: mechanisms and health benefits. Nutrients 5, 14171435.Google Scholar
37. Kaur, N & Gupta, AK (2002) Applications of inulin and oligofructose in health and nutrition. J Biosci 27, 703714.Google Scholar
38. Akalin, AS & Erisir, D (2008) Effects of inulin and oligofructose on the rheological characteristics and probiotic culture survival in low-fat probiotic ice cream. J Food Sci 73, M184M188.Google Scholar
39. Little, TJ, Horowitz, M & Feinle-Bisset, C (2007) Modulation by high-fat diets of gastrointestinal function and hormones associated with the regulation of energy intake: implications for the pathophysiology of obesity. Am J Clin Nutr 86, 531541.Google Scholar
40. Park, JH, Kwon, OD, Ahn, SH, et al. (2013) Fatty diets retarded the propulsive function of and attenuated motility in the gastrointestinal tract of rats. Nutr Res 33, 228234.Google Scholar
41. Roberfroid, MB & Delzenne, NM (1998) Dietary fructans. Annu Rev Nutr 18, 117143.Google Scholar
42. Lobo, AR, Filho, JM, Alvares, EP, et al. (2009) Effects of dietary lipid composition and inulin-type fructans on mineral bioavailability in growing rats. Nutrition 25, 216225.Google Scholar
43. Madden, JA & Hunter, JO (2002) A review of the role of the gut microflora in irritable bowel syndrome and the effects of probiotics. Br J Nutr 88, Suppl. 1, S67S72.Google Scholar
44. Veereman, G (2007) Pediatric applications of inulin and oligofructose. J Nutr 137, 2585S2589S.Google Scholar
45. Zhang, C, Yin, A, Li, H, et al. (2015) Dietary modulation of gut microbiota contributes to alleviation of both genetic and simple obesity in children. EBioMedicine 2, 966982.Google Scholar
46. Brun, P, Castagliuolo, I, Di Leo, V, et al. (2007) Increased intestinal permeability in obese mice: new evidence in the pathogenesis of nonalcoholic steatohepatitis. Am J Physiol Gastrointest Liver Physiol 292, G518G525.Google Scholar
47. Cani, PD, Bibiloni, R, Knauf, C, et al. (2008) Changes in gut microbiota control metabolic endotoxemia-induced inflammation in high-fat diet-induced obesity and diabetes in mice. Diabetes 57, 14701481.Google Scholar
48. DiBaise, JK, Frank, DN & Mathur, R (2012) Impact of the gut microbiota on the development of obesity: current concepts. Am J Gastroenterol Suppl 1, 2227.Google Scholar
49. Ghanim, H, Abuaysheh, S, Sia, CL, et al. (2009) Increase in plasma endotoxin concentrations and the expression of Toll-like receptors and suppressor of cytokine signaling-3 in mononuclear cells after a high-fat, high-carbohydrate meal: implications for insulin resistance. Diabetes Care 32, 22812287.Google Scholar
50. Stenman, LK, Waget, A, Garret, C, et al. (2014) Potential probiotic Bifidobacterium animalis ssp. lactis 420 prevents weight gain and glucose intolerance in diet-induced obese mice. Benef Microbes 5, 437445.Google Scholar
51. Griffiths, EA, Duffy, LC, Schanbacher, FL, et al. (2004) In vivo effects of bifidobacteria and lactoferrin on gut endotoxin concentration and mucosal immunity in Balb/c mice. Dig Dis Sci 49, 579589.Google Scholar
52. Rodes, L, Saha, S, Tomaro-Duchesneau, C, et al. (2014) Microencapsulated Bifidobacterium longum subsp. infantis ATCC 15697 favorably modulates gut microbiota and reduces circulating endotoxins in F344 rats. Biomed Res Int 2014, 602832.Google Scholar
53. Amar, J, Chabo, C, Waget, A, et al. (2011) Intestinal mucosal adherence and translocation of commensal bacteria at the early onset of type 2 diabetes: molecular mechanisms and probiotic treatment. EMBO Mol Med 3, 559572.Google Scholar
54. Janssen, P, Rotondo, A, Mule, F, et al. (2013) Review article: a comparison of glucagon-like peptides 1 and 2. Aliment Pharmacol Ther 37, 1836.Google Scholar
55. Cani, PD, Possemiers, S, Van de Wiele, T, et al. (2009) Changes in gut microbiota control inflammation in obese mice through a mechanism involving GLP-2-driven improvement of gut permeability. Gut 58, 10911103.Google Scholar
56. Nilsson, A, Ostman, E, Preston, T, et al. (2008) Effects of GI vs content of cereal fibre of the evening meal on glucose tolerance at a subsequent standardized breakfast. Eur J Clin Nutr 62, 712720.Google Scholar
57. Luo, J, Rizkalla, SW, Alamowitch, C, et al. (1996) Chronic consumption of short-chain fructooligosaccharides by healthy subjects decreased basal hepatic glucose production but had no effect on insulin-stimulated glucose metabolism. Am J Clin Nutr 63, 939945.CrossRefGoogle ScholarPubMed
58. Lee, KU, Park, JY, Kim, CH, et al. (1996) Effect of decreasing plasma free fatty acids by acipimox on hepatic glucose metabolism in normal rats. Metabolism 45, 14081414.Google Scholar
59. Stanhope, KL & Havel, PJ (2008) Fructose consumption: potential mechanisms for its effects to increase visceral adiposity and induce dyslipidemia and insulin resistance. Curr Opin Lipidol 19, 1624.Google Scholar
60. Weisberg, SP, McCann, D, Desai, M, et al. (2003) Obesity is associated with macrophage accumulation in adipose tissue. J Clin Invest 112, 17961808.Google Scholar
61. Damaso, AR, do Prado, WL, de Piano, A, et al. (2008) Relationship between nonalcoholic fatty liver disease prevalence and visceral fat in obese adolescents. Dig Liver Dis 40, 132139.Google Scholar
62. Fabbrini, E, Sullivan, S & Klein, S (2010) Obesity and nonalcoholic fatty liver disease: biochemical, metabolic, and clinical implications. Hepatology 51, 679689.Google Scholar
63. Hietbrink, F, Besselink, MG, Renooij, W, et al. (2009) Systemic inflammation increases intestinal permeability during experimental human endotoxemia. Shock 32, 374378.Google Scholar
64. Lau, WL, Kalantar-Zadeh, K & Vaziri, ND (2015) The gut as a source of inflammation in chronic kidney disease. Nephron 130, 9298.Google Scholar
65. Huang, EY, Leone, VA, Devkota, S, et al. (2013) Composition of dietary fat source shapes gut microbiota architecture and alters host inflammatory mediators in mouse adipose tissue. JPEN J Parenter Enteral Nutr 37, 746754.Google Scholar
66. Gregor, MF & Hotamisligil, GS (2011) Inflammatory mechanisms in obesity. Annu Rev Immunol 29, 415445.Google Scholar
67. Barbaro, NR, Fontana, V, Modolo, R, et al. (2015) Increased arterial stiffness in resistant hypertension is associated with inflammatory biomarkers. Blood Press 24, 713.Google Scholar
68. Pietri, P, Vyssoulis, G, Vlachopoulos, C, et al. (2006) Relationship between low-grade inflammation and arterial stiffness in patients with essential hypertension. J Hypertens 24, 22312238.Google Scholar
69. Juskewitch, JE, Knudsen, BE, Platt, JL, et al. (2012) LPS-induced murine systemic inflammation is driven by parenchymal cell activation and exclusively predicted by early MCP-1 plasma levels. Am J Pathol 180, 3240.Google Scholar
70. Kararigas, G, Dworatzek, E, Petrov, G, et al. (2014) Sex-dependent regulation of fibrosis and inflammation in human left ventricular remodelling under pressure overload. Eur J Heart Fail 16, 11601167.Google Scholar
71. Nicoletti, A & Michel, JB (1999) Cardiac fibrosis and inflammation: interaction with hemodynamic and hormonal factors. Cardiovasc Res 41, 532543.Google Scholar
72. Dietitians Association of Australia (1983) For the public: Smart Eating for you: Nutrition Information A-Z: Fibre. http://daa.asn.au/?page_id=800.Google Scholar
73. Reagan-Shaw, S, Nihal, M & Ahmad, N (2008) Dose translation from animal to human studies revisited. FASEB J 22, 659661.CrossRefGoogle ScholarPubMed
Figure 0

Table 1 Dietary intakes, plasma lipid profile and lipid output (Mean values with their standard errors; eight to ten rats per group)

Figure 1

Table 2 Fat mass development* (Mean values with their standard errors; eight to ten rats per group)

Figure 2

Fig. 1 Haematoxylin–eosin staining of the ileum (×20) showing inflammatory cells infiltration (a–d), with inflammatory cells marked as ‘in’, crypt cells (a–d) marked as ‘cry’, villi (a–d) marked as ‘vi’ and mucosal thickening (a–d) marked as ‘mt’ in rats fed corn starch diet (a), corn starch diet+inulin oligofructose (b), high-carbohydrate, high-fat diet (c), high-carbohydrate, high-fat diet+inulin oligofructose (d).

Figure 3

Table 3 Gastrointestinal weight and faecal output* (Mean values with their standard errors; ten rats per group)

Figure 4

Fig. 2 Haematoxylin–eosin staining of hepatocytes (×20) showing hepatocytes with enlarged fat vacuoles ((a–d), fat vacuoles marked as ‘fv’) and inflammatory cells infiltration ((e–h), inflammatory cells marked as ‘in’) (20×) in rats fed corn starch diet (a, e), corn starch diet+inulin oligofructose (b, f), high-carbohydrate, high-fat diet (c, g), high-carbohydrate, high-fat diet+inulin oligofructose (d, h).

Figure 5

Table 4 Hepatic structure and function and glycaemic profile (Mean values with their standard errors; eight to ten rats per group)

Figure 6

Fig. 3 Cumulative concentration–response curves for noradrenaline (A), sodium nitroprusside (B) and acetylcholine (C) in thoracic aortic rings from rats fed corn starch (C, ), corn starch+inulin oligofructose (CIO, ), high-carbohydrate, high-fat diet (H, ), high-carbohydrate, high-fat+inulin oligofructose diet (HIO, ). Values are means, ten rats per group, with their standard errors represented by vertical bars. a,b Mean values with unlike letters are significantly different (P<0·05).

Figure 7

Fig. 4 Haematoxylin–eosin staining of the left ventricle (×20) showing infiltration of inflammatory cells ((a–d), inflammatory cells marked as ‘in’) in rats fed corn starch diet (a), corn starch diet+inulin oligofructose (b), high-carbohydrate, high-fat diet (c), high-carbohydrate, high-fat diet+inulin oligofructose (d). Picrosirius red staining of left ventricular interstitial collagen deposition ((e–h), fibrosis marked as ‘fi’) (20×) in rats fed corn starch diet (e), corn starch diet+inulin oligofructose (f), high-carbohydrate, high-fat diet (g), high-carbohydrate, high-fat diet+inulin oligofructose (h).

Figure 8

Table 5 Cardiovascular structure and function (Mean values with their standard errors)