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Effects of the brown rice diet on visceral obesity and endothelial function: the BRAVO study

Published online by Cambridge University Press:  12 August 2013

Michio Shimabukuro*
Affiliation:
Department of Cardio-Diabetes Medicine, The University of Tokushima Graduate School of Health Biosciences, 3-18-15 Kuramoto, Tokushima 770-8503, Japan Department of Cardiovascular Medicine, The University of Tokushima Graduate School of Health Biosciences, 3-18-15 Kuramoto, Tokushima 770-8503, Japan Division of Endocrinology, Diabetes and Metabolism, Haematology, Rheumatology, Second Department of Internal Medicine, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan Diabetes and Lifestyle-Related Disease Center, Tomishiro Central Hospital, Okinawa, Japan
Moritake Higa
Affiliation:
Division of Endocrinology, Diabetes and Metabolism, Haematology, Rheumatology, Second Department of Internal Medicine, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan Diabetes and Lifestyle-Related Disease Center, Tomishiro Central Hospital, Okinawa, Japan
Rie Kinjo
Affiliation:
Division of Clinical Laboratory, Tomishiro Central Hospital, Okinawa, Japan
Ken Yamakawa
Affiliation:
Division of Endocrinology, Diabetes and Metabolism, Haematology, Rheumatology, Second Department of Internal Medicine, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan Diabetes and Lifestyle-Related Disease Center, Tomishiro Central Hospital, Okinawa, Japan
Hideaki Tanaka
Affiliation:
Diabetes and Lifestyle-Related Disease Center, Tomishiro Central Hospital, Okinawa, Japan
Chisayo Kozuka
Affiliation:
Division of Endocrinology, Diabetes and Metabolism, Haematology, Rheumatology, Second Department of Internal Medicine, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
Kouichi Yabiku
Affiliation:
Division of Endocrinology, Diabetes and Metabolism, Haematology, Rheumatology, Second Department of Internal Medicine, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
Shin-Ichiro Taira
Affiliation:
Division of Endocrinology, Diabetes and Metabolism, Haematology, Rheumatology, Second Department of Internal Medicine, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
Masataka Sata
Affiliation:
Department of Cardiovascular Medicine, The University of Tokushima Graduate School of Health Biosciences, 3-18-15 Kuramoto, Tokushima 770-8503, Japan
Hiroaki Masuzaki
Affiliation:
Division of Endocrinology, Diabetes and Metabolism, Haematology, Rheumatology, Second Department of Internal Medicine, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
*
* Corresponding author: Professor M. Shimabukuro, fax +81 88 633 7894, email mshimabukuro-ur@umin.ac.jp
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Abstract

Brown rice (BR) and white rice (WR) produce different glycaemic responses and their consumption may affect the dietary management of obesity. In the present study, the effects of BR and WR on abdominal fat distribution, metabolic parameters and endothelial function were evaluated in subjects with the metabolic syndrome in a randomised cross-over fashion. In study 1, acute postprandial metabolic parameters and flow- and nitroglycerine-mediated dilation (FMD and NMD) of the brachial artery were determined in male volunteers with or without the metabolic syndrome after ingestion of either BR or WR. The increases in glucose and insulin AUC were lower after ingestion of BR than after ingestion of WR (P= 0·041 and P= 0·045, respectively). FMD values were decreased 60 min after ingestion of WR (P= 0·037 v. baseline), but the decrease was protected after ingestion of BR. In study 2, a separate cohort of male volunteers (n 27) with the metabolic syndrome was randomised into two groups with different BR and WR consumption patterns. The values of weight-based parameters were decreased after consumption of BR for 8 weeks, but returned to baseline values after a WR consumption period. Insulin resistance and total cholesterol and LDL-cholesterol levels were reduced after consumption of BR. In conclusion, consumption of BR may be beneficial, partly owing to the lowering of glycaemic response, and may protect postprandial endothelial function in subjects with the metabolic syndrome. Long-term beneficial effects of BR on metabolic parameters and endothelial function were also observed.

Information

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Full Papers
Copyright
Copyright © The Authors 2013 
Figure 0

Table 1 General characteristics of study 1 subjects (Mean values and standard deviations)

Figure 1

Fig. 1 Changes in biochemical parameters before and after ingestion of a meal with either brown rice (BR, ○) or white rice (WR, ●). On two mornings, participants with (BMI ≥ 25 kg/m2) or without obesity (BMI < 25 kg/m2) ingested either a 1883 kJ (450 kcal) meal, including an 837 kJ (200 kcal) meal of either BR or WR. Before and 60, 120 and 240 min after ingestion, blood samples were collected. The concentrations of glucose, insulin and NEFA are shown. For the concentrations of LDL-cholesterol, HDL-cholesterol and TAG, see Supplementary material 3 (available online). Values are means, with standard deviations represented by vertical bars. * Mean value was significantly different from that at baseline (P< 0·05).

Figure 2

Fig. 2 Changes in forearm flow-mediated dilation (FMD) and nitroglycerine-mediated dilation (NMD) values before and after ingestion of a meal with either brown rice (BR, ○) or white rice (WR, ●). On two separate mornings, participants with (BMI ≥ 25 kg/m2) or without obesity (BMI < 25 kg/m2) ingested a 1882·8 kJ (450 kcal) meal, including an 836·8 kJ (200 kcal) meal of either BR or WR. Before and 60, 120 and 240 min after ingestion, FMD and NMD were measured using a novel vascular ultrasound system equipped with an edge-tracking system for two-dimensional imaging and automatic measurement. FMD and NMD values were calculated as follows: FMD or NMD value (%) = (maximum diameter − diameter at rest) × 100/diameter at rest. Values are means, with standard deviations represented by vertical bars. * Mean value was significantly different from that at baseline (P< 0·05).

Figure 3

Table 2 General characteristics of study 2 subjects (Mean values and standard deviations)

Figure 4

Table 3 Changes in blood biochemical parameters (study 2) (Mean values and standard deviations)

Figure 5

Fig. 3 Percentage changes in (a) body weight (ΔBW), (b) waist circumference (ΔWC), (c) visceral fat area (ΔVFA) and (d) subcutaneous fat area (ΔSFA) after ingestion of a brown rice (BR) or a white rice (WR) diet in obese subjects. Obese participants (BMI ≥ 25 kg/m2) were randomised to either a diet including BR followed by a diet including WR group (BR-WR, n 14) or a WR-containing diet followed by the one containing BR group (WR-BR, n 13). Before and after completion of the first and second 8-week terms, blood and urine samples were collected, and abdominal fat computed tomography scans were taken. Values represent percentage change from baseline values of each 8-week term. Values are means, with standard deviations represented by vertical bars. (a) Mean value was significantly different from that at baseline following the consumption of the BR diet: P= 0·009, P= 0·045 (paired t test). (b) Mean value was significantly different from that at baseline following the consumption of the BR diet: P= 0·032, P= 0·047 (paired t test). (c) Mean value was significantly different from that following the consumption of the BR diet: P= 0·018, P= 0·003 (unpaired t test). Mean value was significantly different from that at baseline: *P< 0·05, **P< 0·01.

Figure 6

Fig. 4 Changes in forearm flow-mediated dilation (FMD) and nitroglycerine-mediated dilation (NMD) values after brown rice (BR) or white rice (WR) diet consumption in obese subjects. Obese participants (BMI ≥ 25 kg/m2) were randomised into either a group consuming a diet that included BR for an 8-week period, followed by consumption of a diet containing WR for a similar period (BR-WR, n 14), or a group consuming the diet in the reverse order (WR-BR, n 13). Before and after completion of each 8-week term, FMD and NMD were measured using a novel vascular ultrasound system equipped with an edge-tracking system for two-dimensional imaging and automatic measurement. FMD and NMD values were calculated as follows: FMD or NMD value (%) = (maximum diameter − diameter at rest) × 100/diameter at rest. Values are means with minimum and maximum values, with standard deviations represented by vertical bars. * Mean value was significantly different from that at baseline (P< 0·05; one-way ANOVA or paired t test).

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