The constellation of metabolic abnormalities, including visceral obesity, dyslipidaemia (high TAG and LDL-cholesterol or low HDL-cholesterol), hyperglycaemia and elevated blood pressure, is known as the metabolic syndrome, which increases the risk of developing CVD(Reference Després, Lemieux and Bergeron1). Postprandial hyperglycaemia and hyperlipidaemia induce endothelial dysfunction associated with increased oxidative stress and vascular inflammation, and are thus involved in the pathogenesis of atherosclerosis(Reference Kanter, Johansson and LeBoeuf2, Reference O'Keefe and Bell3). Therefore, pharmacological(Reference Guerciolini4–Reference Chiasson, Josse and Gomis6) or non-pharmacological(Reference O'Keefe and Bell3, Reference Aston7) interventions have been carried out to reduce postprandial metabolic abnormalities and damage. The recent STOP-NIDDM (Study to Prevent Non-Insulin-Dependent Diabetes Mellitus) trial demonstrated that daily intake of acarbose, which improves postprandial hyperglycaemia by inhibiting α-glucosidase, reduces the risk of developing type 2 diabetes, hypertension and CVD(Reference Chiasson, Josse and Gomis6, Reference Chiasson, Josse and Gomis8). Further, postprandial glucose and lipid concentrations influence postprandial hormone levels, such as insulin and glucose-dependent insulinotropic polypeptide (GIP)(Reference Collier and O'Dea9, Reference Shimotoyodome, Fukuoka and Suzuki10), which in turn may modify fuel utilisation and storage in various tissues(Reference Díaz, Galgani and Aguirre11). On the basis of the hypothesis that a low-glycaemic meal, compared to a high-glycaemic meal, suppresses increases in postprandial serum glucose and insulin, thereby promoting fat oxidation and reducing fat storage, several studies have been conducted to compare the effects of different glycaemic meals. These studies, however, failed to demonstrate any clear effects on fuel partitioning, probably due to differences in serum insulin levels after meal loading that were insufficient to modify substrate oxidation(Reference Díaz, Galgani and Aguirre11).
Several epidemiological studies(Reference Higdon and Frei12, Reference Dórea and da Costa13) suggest that coffee consumption helps prevent type 2 diabetes, liver diseases and Parkinson's disease. Many of the physiological effects of coffee can be attributed to caffeine, which is abundant in coffee(Reference Higdon and Frei12). On the other hand, coffee contains many phenolic compounds (coffee polyphenols (CPP)) such as caffeoyl quinic acids (CQA – 5-CQA is often called chlorogenic acid), di-CQA and feruloyl quinic acids (FQA). It is estimated that a 200-ml cup of roasted ground coffee contains 20–675 mg CPP, and the daily intake of CPP for a coffee drinker is as much as 1 g(Reference Clifford14). We recently reported that long-term intake of CPP attenuates diet-induced obesity by increasing energy expenditure, possibly through the suppression of sterol regulatory element-binding protein 1c (SREBP-1c) and the expression of related-molecules (acetyl-CoA carboxylase (ACC) 2, stearoyl-CoA desaturase-1, etc.) in the liver and adipose tissue(Reference Murase, Misawa and Minegishi15). In addition, 5-CQA is reported to suppress the postprandial increase in blood glucose levels after maltose or sucrose loading by inhibiting α-glucosidases and glucose absorption in rats(Reference Ishikawa, Yamashita and Hiemori16). Moreover, Johnston et al. (Reference Johnston, Clifford and Morgan17) reported that the consumption of coffee containing 5-CQA modifies gastrointestinal hormone secretion and glucose tolerance in human subjects, suggesting the regulatory effects of 5-CQA on postprandial serum energy substrate states. Little is known, however, about the effects of CPP on postprandial energy metabolism, and the relation of the effects with postprandial serum glucose and lipid dynamics.
In the present study, we examined the effect of CPP on serum components (i.e. glucose, insulin, GIP and TAG) after a single oral loading of lipid–carbohydrate-mixed emulsion and its relationship with fuel partitioning in mice. Further, we examined the inhibitory effects of nine kinds of polyphenols (i.e. CQA, di-CQA and FQA) purified from CPP on the activities of maltase, sucrase and lipase.
Experimental methods
Preparation of coffee polyphenols
A measure of 2 kg of ground roasted-coffee beans was extracted with hot water, and the extract was reduced to a powder using the spray-dry method. The extract (270 g) was then dissolved in 9 litres of water and applied to an aromatic-type adsorbent column (Sepabeads SP70; Mitsubishi Chemical, Tokyo, Japan). After washing the column with water, CPP were eluted with 0·1 % NaOH, followed by neutralisation with ion-exchange resin to weak acidic pH. The recovered CPP-containing solution was concentrated to an approximate solid content of 10 % (w/v), spray-dried and CPP was obtained (40 g).
The composition of CPP was measured by HPLC. Total polyphenol content in the CPP was 77·1 % (the sum of each of the polyphenols described later). Caffeine was not detected. The composition of polyphenols was 3-CQA (5·9 %), 4-CQA (12·0 %), 5-CQA (24·6 %), 3-FQA (5·9 %), 4-FQA (4·3 %), 5-FQA (6·6 %), 3,4-di-CQA (6·9 %), 3,5-di-CQA (7·0 %) and 4,5-di-CQA (4·1 %). The structures of representative quinic acids are shown in Fig. 1.
Fig. 1 Structures of representative quinic acid derivatives.
Purification and isolation of coffee polyphenols
A total of nine kinds of quinic acid derivatives (i.e. CQA, di-CQA and FQA) were isolated using a medium pressure chromatography system (Yamazen, Osaka, Japan) equipped with an Ultra Pack ODS-A-40D column, UV detector PREP-UV-10V, fraction collector FR 50N, gradient mixer GR200, degasifier and pump PUMP-60A. CPP (2 g) dissolved in 20 ml solution A (acetic acid–methanol–water, 1:20:80) was applied to the ODS column, and eluted with solution A and solution B (methanol) at a flow rate of 10 ml/min as follows: 0–100 min, solution A (100 %); 100–600 min, solution B (0 → 100 %). The CPP 3-CQA, 3,4-di-CQA, 3,5-di-CQA and 4,5-di-CQA were isolated as single compounds in this process. Both the mixtures of 4-CQA, 5-CQA and 3-FQA, and 4-FQA and 5-FQA were further separated using a preparative HPLC system (LC-908; Japan Analytical Industry Company Limited, Tokyo, Japan) equipped with an Inertsil ODS-3 column (GL Science, Inc., Tokyo, Japan) using trifluoroacetic acid–methanol–water (1:300:700) as the eluent at a flow rate of 9 ml/min. The elution pattern was monitored by measuring the absorbance at 325 nm. 1H-NMR spectra were recorded in CD3OD on a JEOL α500 NMR spectrometer (JEOL, Tokyo, Japan). The physical and spectroscopic data of the isolated compounds were in agreement with those reported in the literature(Reference Ida, Satoh and Ohtsuka18, Reference Iwai, Kishimoto and Kakino19).
Animals and diets
Male C57BL/6J mice obtained from Charles River (Kanagawa, Japan) at 7 weeks of age were maintained at 23 ± 2°C under a 12 h light–12 h dark cycle (lights on from 07.00–19.00 hours) with commercial mouse food (CE-2; Clea Japan, Tokyo, Japan) and used for the oral lipid–carbohydrate load test at 8–9 weeks of age. The present study was approved by the Animal Care Committee of the Kao Corporation. All animal experiments followed the Guidelines for the Care and Use of Laboratory Animals of the committee.
Preparation of the lipid–carbohydrate-mixed emulsion
Lipid emulsion was prepared by sonicating 40 % maize oil solution containing 1·6 % egg lecithin (Wako Pure Chemical Industries Limited, Osaka, Japan). Lipid–carbohydrate-mixed emulsion was prepared by combining 40 % lipid emulsion and 40 % sucrose or 40 % autoclaved soluble starch (Wako) solution. Therefore, the final concentrations of lipid and carbohydrate in the emulsion were 20 % each.
Indirect calorimetry
Energy metabolism studies were performed using a magnetic-type mass spectrometric calorimeter Arco-2000 (Arco System, Inc., Chiba, Japan). Mice were randomly divided into four groups: lipid–starch emulsion control, lipid–starch emulsion+CPP, lipid–sucrose emulsion control and lipid–sucrose emulsion+CPP groups (n 8 per group). Following an 8 h fast, 200 mg/kg body weight of CPP solution or water was administered, immediately followed by either 4 g/kg body weight of lipid–starch-mixed emulsion or lipid–sucrose-mixed emulsion by gastric tube. V O2 and CO2 production were then measured for 3 h. During this time, data from each chamber were collected every 5 min, with a settling time of 60 s, a measurement time of 15 s and room air was used as the reference. The respiratory quotient (RQ) was calculated from the measured values of V O2 and CO2 exhalation (V CO2). Data were normalised by body weight (kg). Locomotor activity was measured using an automated motion analysis system (Actracer-2000; ARCO System, Inc.) that detects the amount of centroid fluctuation using a weighted transducer.
Oral lipid–carbohydrate load test
The mice were randomly divided into four groups: lipid–starch emulsion control, lipid–starch emulsion+CPP, lipid–sucrose emulsion control and lipid–sucrose emulsion+CPP groups (n 10 per group). Following an 8 h fast, 200 mg/kg body weight of CPP solution or water was administered, immediately followed by either 4 g/kg body weight of a lipid–starch-mixed emulsion or a lipid–sucrose-mixed emulsion by gastric tube. Blood samples were obtained from the orbital sinus under anaesthesia with diethyl ether at 0, 10, 30, 60, 120 and 180 min after administration of the emulsion load, and the plasma was obtained.
Blood analysis
The blood glucose levels were measured by Accu-Check Aviva (Roche Diagnostics, Tokyo, Japan). The plasma TAG concentrations were determined using a Wako TG E-Test (Wako). The plasma insulin and GIP levels were measured using an insulin EIA kit (Morinaga, Yokohama, Japan) and rat/mouse GIP (total) ELISA kit (Linco Research, Inc., St Charles, MO, USA), respectively, according to the manufacturer's instructions.
Enzyme assays
Maltase and sucrase assays were conducted as described in a previous report, with minor modifications(Reference Kiso, Hamayasu and Fujita20). In brief, the inhibitory effect of CPP on maltase was assessed using an acetone extract from rat small intestine (Sigma-Aldrich, St Louis, MO, USA) and maltose as the substrate. The reaction was started by adding 50 μl enzyme (500 μg protein in 50 mm-phosphate buffer, pH 7·0) solution to a mixture of 1 % maltose (25 μl) and test compound (25 μl). The reaction mixture was incubated for 15 min at 37°C and the reaction was stopped with 75 μl of 0·2-m-NaOH solution. The solution was neutralised with 75 μl of 0·2-m-acetic acid. In the control experiment, maltose was added after the neutralisation step instead of adding it when the reaction was started. A 2 % sucrose solution was used to measure sucrase activity. The glucose concentration of the reaction mixture was determined using a Glucose C2 Test Wako (Wako).
Lipase activity was assessed using porcine pancreatic lipase (Sigma) and lipase kit S (DS Pharma Biomedical Company Limited, Osaka, Japan). The enzyme was dissolved in 125 mm-Tris–HCl buffer (pH 7·5) at a concentration of 50 μg/ml. After incubating the reaction mixture, which comprised enzyme solution (8 μl), test compound (30 μl), esterase inhibitor (2 μl) and 5,5-dithiobis (2-nitrobenzoic acid; colour coupler; 100 μl), for 5 min at 30°C, substrate was added and the mixture was incubated for an additional 30 min at 30°C. The reaction was terminated by adding stop solution (200 μl), and the absorbance was measured at 412 nm to quantify the reactive products.
Statistical analysis
All values are presented as mean values with their standard errors. Expired gas data (i.e. V O2 and RQ) and plasma biochemical data (i.e. glucose, insulin, GIP and TAG) in the oral lipid–carbohydrate load test were analysed by repeated-measures ANOVA with factors of group and time, and the interaction of the factors. The differences between groups in plasma biochemical data were calculated as area under the curve and were assessed with the Student's t test. A P value of less than 0·05 was considered significant. Statistical analyses were conducted using the SAS software, version 9.2 (SAS Institute, Inc., Cary, NC, USA).
Results
Effect of coffee polyphenols on energy metabolism
We extracted the data from 10 to 120 min of V O2 and RQ, as the data from 0 to 10 min were unstable due to experimental manipulations. Differences in V O2 were not significantly different between the control and CPP groups after administering the lipid and sucrose-mixed emulsion (Fig. 2(a)). In contrast, co-administration of CPP significantly reduced the emulsion-induced increase in the RQ value (Fig. 2(b); P < 0·05, group factor in repeated-measures ANOVA). When the lipid and starch-mixed emulsion was administered, CPP similarly reduced the increase in RQ (Fig. 2(d); P < 0·05, group factor). Locomotor activity did not significantly differ between the control and CPP groups (data not shown).
Fig. 2 Effect of coffee polyphenols (CPP) on whole-body energy metabolism. V O2 and carbon dioxide exhalation were monitored for 3 h after administering (a and b) lipid and sucrose-mixed emulsion or (c and d) lipid and starch-mixed emulsion, and the respiratory quotient was calculated. Values are means with their standard errors of eight mice. * Mean values were significantly different control group at each time point (P < 0·05). –○–, Control; –●–, CPP.
Effect of coffee polyphenols on postprandial increase in glucose, insulin, glucose-dependent insulinotropic polypeptide and TAG
Co-administration of CPP with a lipid and sucrose-mixed emulsion significantly reduced the increase in plasma glucose level (Fig. 3(a); P < 0·05, group × time interaction in repeated-measures ANOVA). CPP administration significantly suppressed the peak glucose level at 10 min, although there was no difference in the total amount of glucose absorption calculated as area under the curve (Fig. 5(a)). The increase in insulin levels after emulsion administration was also suppressed by CPP (Fig. 3(b); P < 0·05, group × time interaction), concomitant with suppression of the increase in GIP (Fig. 3(c); P < 0·05, group × time interaction) that is released from intestinal endocrine cells in response to luminal glucose or fat, and stimulates insulin secretion from pancreatic β-cells. Total GIP secretion, calculated as the area under the curve, was significantly smaller in the CPP group than in the control group (Fig. 5(c)). Plasma TAG levels peaked at 60 min after emulsion administration, and the increase was significantly suppressed when CPP was co-administered with the emulsion (Fig. 3(d); P < 0·05, group × time interaction).
Fig. 3 Effects of coffee polyphenols (CPP) on plasma glucose, insulin, glucose-dependent insulinotropic polypeptide (GIP) and TAG concentrations after administration of a lipid and sucrose-mixed emulsion. Following an 8 h fast, 200 mg/kg body weight of CPP solution was administered, followed by lipid–sucrose-mixed emulsion by a gastric tube. At the indicated time, blood samples were obtained from the orbital sinus and (a) plasma glucose, (b) insulin, (c) GIP and (d) TAG levels were determined. * Mean values were significantly different control group at each time point (P < 0·05). –○–, Control; –●–, CPP.
Plasma glucose exhibited a biphasic response to the lipid and starch-mixed emulsion administration, with a peak at 10 and 60 min (Fig. 4(a)). The peak value of glucose at 10 min was significantly lower in the CPP-administered group. CPP administration resulted in rightward shift of the peak insulin level, and the insulin level at 10 min was also significantly reduced (Fig. 4(b); P < 0·05, group × time interaction). CPP administration also significantly suppressed the increase in GIP levels (Fig. 4(c); P < 0·05, group × time interaction), with a significant reduction of total GIP secretion (Fig. 5(g)). Plasma TAG levels were also lower in the CPP group than in the control group at 10 and 30 min (Fig. 4(d)).
Fig. 4 Effects of coffee polyphenols (CPP) on plasma glucose, insulin, glucose-dependent insulinotropic polypeptide (GIP) and TAG concentrations after administration of a lipid and starch-mixed emulsion. Following an 8 h fast, 200 mg/kg body weight of CPP solution was administered, followed by lipid–starch-mixed emulsion by a gastric tube. At the indicated time, blood samples were obtained from the orbital sinus and (a) plasma glucose, (b) insulin, (c) GIP and (d) TAG levels were determined. * Mean values were significantly different control group at each time point (P < 0·05). –○–, Control; –●–, CPP.
Fig. 5 Area under the curve (AUC) of plasma glucose, insulin, glucose-dependent insulinotropic polypeptide and TAG concentrations. (a–d) AUC of mice administered a lipid–sucrose-mixed emulsion. (e–h) AUC of mice administered a lipid–starch-mixed emulsion. Values are means with their standard errors of eight mice. * Mean value was significantly different from that of the control (Cont) group (P < 0·05 (t test)). CPP, coffee polyphenols.
Effect of coffee polyphenols on maltase, sucrase and lipase activities
To clarify the anti-hyperglycaemic and anti-hyperinsulinaemic effects of CPP, inhibitory effects of various concentrations of CPP on maltase, sucrase and lipase activities were examined in vitro. CPP inhibited maltase activity in a concentration-dependent manner and approximately 0·07 mg/ml CPP inhibited 50 % (IC50) of the maltase activity (Fig. 6(a)). CPP also showed a concentration-dependent inhibition of sucrase activity, with an approximate IC50 of 0·35 mg/ml (Fig. 6(b)). Pancreatic lipase activity was inhibited by CPP with an approximate IC50 of 2·49 mg/ml (Fig. 6(c)).
Fig. 6 Effects of coffee polyphenols (CPP) on maltase, sucrase and lipase activities. The inhibitory effect of CPP on (a) maltase was assessed using an acetone extract from rat small intestine and maltose as a substrate. (b) Sucrose solution was used for the measurement of sucrase activity. The glucose concentration of the reaction mixture was determined using a glucose assay kit and inhibition activity was calculated. (c) Lipase activity was assessed using porcine pancreatic lipase and a commercial kit. Values are means with their standard errors (n 3).
Structure–activity relationship of coffee polyphenols on enzyme inhibitory action
CPP comprises mainly nine types of caffeic acid derivatives (three CQA, three di-CQA and three FQA). In addition, approximately two-thirds of ingested chlorogenic acid reaches the colon, where it is likely to be hydrolysed to caffeic acid and quinic acid by the colonic microflora(Reference Olthof, Hollman and Katan21, Reference Olthof, Hollman and Buijsman22). Therefore, to further clarify the molecular specificity of the polyphenols in CPP and the active compounds, we compared the effects of the nine molecules contained in CPP and three possible metabolites (i.e. caffeic acid, quinic acid and ferulic acid) on enzyme activities.
On the basis of the concentration dependency of CPP on enzyme inhibition (Fig. 6), the maltase- and sucrase-inhibitory activity of each sample was assessed at 0·05 and 0·30 mg/ml, respectively. The three di-CQA (3,4-, 3,5- and 4,5-di-CQA) showed 35–83 % inhibitory activity on maltase, whereas CQA and feruloyl quinic acids showed no marked activity at this concentration (Fig. 7(a)). The three CQA (3-, 4- and 5-CQA) and di-CQA (3,4-, 3,5- and 4,5-di-CQA), all of which have one or two caffeic acid moieties, inhibited sucrase activity by 32–46 and 68–76 %, respectively (Fig. 7(b)). The FQA had a smaller inhibitory effect on sucrase activity. Among the building units of CQA and FQA, caffeic acid and ferulic acid inhibited sucrase activity, whereas quinic acid had no effect at the concentrations examined. Similarly, lipase activities were inhibited by 39–66 % by di-CQA; however, CQA and FQA had no marked inhibitory activity at the concentrations (Fig. 7(c)).
Fig. 7 Structure–activity relationship of coffee polyphenols (CPP) and their constituents on enzyme inhibitory action. The inhibitory effect of CPP and their constituents on (a) maltase was assessed using an acetone extract from rat small intestine and maltose as a substrate. (b) Sucrose solution was used for the measurement of sucrase activity. The glucose concentration of the reaction mixture was determined by glucose assay kit and inhibition activity was calculated. (c) Lipase activity was assessed using porcine pancreatic lipase and a commercial kit. Maltase, sucrase and lipase inhibitory activity of each sample was assessed at 0·125, 0·75 and 5·0 mm, respectively. Maltase, sucrase and lipase activities of CPP were assessed at 0·05, 0·30 and 2·00 mg/ml, respectively. Values are means with their standard errors (n 3). CQA, caffeoyl quinic acids; FQA, feruloyl quinic acids.
Discussion
In the present study, we examined the effects of CPP on serum components after a single oral loading of lipid–carbohydrate-mixed emulsion and its relationship with whole-body energy metabolism in mice. The present results suggest that CPP modulates whole-body substrate oxidation by suppressing postprandial hyperglycaemia and hyperinsulinaemia, and these effects are mediated by the inhibition of digestive enzymes.
The health benefits of phenolic compounds in plants have received increasing attention(Reference Baur, Pearson and Price23, Reference Murase, Nagasawa and Suzuki24), and the beneficial effects of coffee and its constituents have also been examined(Reference Higdon and Frei12, Reference Dórea and da Costa13). Coffee contains a large amount of caffeine in addition to phenolic compounds, including 5-CQA, and many of its physiological actions are assumed to be due to or influenced by caffeine(Reference Higdon and Frei12, Reference Greenberg, Boozer and Geliebter25). In the present study, to clarify the biological function of polyphenols in coffee, we purified and examined the effects of CPP. Postprandial glycaemic responses are greatly modified by the co-ingestion of lipids(Reference Collier and O'Dea9, Reference Shimotoyodome, Fukuoka and Suzuki10). In addition, carbohydrate is usually ingested together with lipid in daily life; therefore, we analysed the influence of CPP intake on postprandial responses after ingestion of lipid and carbohydrate.
Although there was no difference in energy expenditure, the increase in the RQ value after administering a lipid and carbohydrate-mixed emulsion was significantly reduced by CPP co-administration, indicating that postprandial lipid utilisation is greater in mice administered CPP. Acute postprandial energy utilisation is greatly influenced by glucose and glucose-induced hormone levels. Carbohydrates such as starch and sucrose are hydrolysed by digestive enzymes to form glucose, which induces the secretion of insulin from pancreatic β-cells, concomitant with the induction of incretin secretion, including GIP and glucagon-like peptide, from the intestinal tract. Insulin enhances lipogenesis by activating ACC-1, together with the suppression of lipolysis in adipose tissue through phosphorylation and subsequent inhibition of hormone-sensitive lipase(Reference Brownsey, Boone and Elliott26, Reference Holm27). Further, insulin increases cellular malonyl-CoA, which inhibits carnitine palmitoyl transferase-1 by activating ACC-2(Reference Ruderman and Prentki28, Reference Bandyopadhyay, Yu and Ofrecio29), leading to a decrease in fatty acid oxidation. Thus, the increase in the serum insulin levels after carbohydrate ingestion influences energy partitioning by both increasing glucose utilisation through the stimulation of glucose incorporation to peripheral tissues and by suppressing fatty acid oxidation. Moreover, glucose-induced insulin secretion is enhanced by lipid, which is partly mediated by increased GIP secretion(Reference Collier and O'Dea9, Reference Shimotoyodome, Fukuoka and Suzuki10). Co-ingestion of CPP with lipid and carbohydrate-mixed emulsion suppressed the increase in serum GIP, which was consistent with the serum glucose and insulin levels, suggesting that CPP decreases the rate of intestinal absorption of glucose and subsequent serum hormone levels, thereby decreasing glucose utilisation and increasing lipid utilisation. Because suppression of the postprandial increase in serum glucose and the resulting changes in energy partitioning were observed both after starch and sucrose intake, these changes were at least partly mediated by the inhibitory action of CPP on glucosidases. In addition to 5-CQA, which has an inhibitory action on α-glucosidase(Reference Johnston, Clifford and Morgan17), CPP contains a variety of polyphenolic compounds such as CQA isomers, di-CQA and FQA; therefore, we purified and examined the specificity of each compound on digestive enzyme inhibition. CPP exhibited more potent inhibitory action on maltase than sucrase, and, among the quinic acid derivatives, di-CQA most strongly inhibited maltase. CQA and di-CQA also inhibited sucrase activity, and FQA did not show an inhibitory effect at the concentrations examined. These results suggest that CQA and di-CQA largely contribute to the inhibition of glucosidases, and the subsequent suppression of postprandial serum glucose and the insulin increase, which resulted in the changes in fuel partitioning. The present results indicate that caffeoyl group(s) bound to a quinic acid molecule has an important role in the enzyme inhibitory effects, and the inhibitory activity increases with an increasing number of caffeoyl groups. Differences in molecular size, conformation or physical properties, including lipophilicity/hydrophilicity(Reference de Paulis, Schmidt and Bruchey30), of CQA might affect the affinity of CQA for enzymes and subsequent inhibitory actions. The precise mechanisms by which di-CQA exert more potent inhibitory effects require further investigation.
In addition to glucosidase inhibition, CPP also inhibited pancreatic lipase and decreased the increase in serum TAG after loading of a lipid and carbohydrate-mixed emulsion. Lipase activity was preferably inhibited by di-CQA, suggesting the contribution of this molecular species to the suppression of the postprandial TAG increase. Postprandial lipid oxidation is primarily determined by carbohydrates, rather than by the amount of fat consumed, when fat is consumed together with carbohydrate(Reference Flatt31); therefore, it is conceivable that the CPP-induced decrease in the serum glucose and insulin levels, rather than the decrease in the TAG levels, were more clearly reflected by the RQ.
Recently, we reported that CPP alleviates diet-induced obesity(Reference Murase, Misawa and Minegishi15). Habitual intake of CPP suppresses mRNA expression of lipogenic enzymes including fatty acid synthase, stearoyl-CoA desaturase-1 and ACC-1 by downregulating SREBP-1c. In addition, CPP increases fatty acid oxidation, concomitant with a reduction of ACC-2 mRNA and ACC activity, and decreases cellular malonyl-CoA levels. Because the expression of SREBP-1c is stimulated by glucose or insulin(Reference Cagen, Deng and Wilcox32, Reference Hasty, Shimano and Yahagi33), suppression of SREBP-1c expression and subsequent reduction of body fat accumulation might be partly mediated by the CPP-induced lowering effect of postprandial insulin.
GIP exerts various effects on adipocytes, including stimulating lipoprotein lipase activity(Reference Eckel, Fujimoto and Brunzell34), fatty acid uptake(Reference Beck and Max35) and lipogenesis(Reference Oben, Morgan and Fletcher36). These studies suggest an important role of GIP in the regulation of fatty acid metabolism and fat deposition, and its physiological significance is emphasised by the fact that GIP receptor knockout mice fed a high-fat diet are obesity resistant(Reference Miyawaki, Yamada and Ban37). Given the effects of GIP on adipocytes, suppression of the postprandial GIP increase by CPP might contribute not only to altered energy partitioning but also to reduced body fat accumulation through attenuation of the action of GIP against adipose tissue.
In summary, CPP modulates whole-body lipid and carbohydrate oxidation by suppressing postprandial glucose and insulin increases through inhibiting digestive enzymes including maltase and sucrase. Structure–activity relationship studies revealed that di-CQA have more potent inhibitory activities on digestive enzymes, suggesting the contribution of the species to the effects of CPP.
Acknowledgements
The authors thank Tohru Yamaguchi for help in the statistical analysis. T. M. designed the study and wrote the manuscript. Y. Y. and K. M. conducted the animal or enzymatic experiments and analysed the data. H. O., Y. Su. and Y. Sh. performed the purification of the quinic acid derivatives. T. H. helped to design the study. The authors declare no conflict of interest. No external funding was received for the present study.
