Literature DB >> 28851088

Diacylglycerol Enhances the Effects of Alpha-Linolenic Acid Against Visceral Fat: A Double-Blind Randomized Controlled Trial.

Shinichiro Saito1, Atsuko Mori2, Noriko Osaki1, Yoshihisa Katsuragi1.   

Abstract

OBJECTIVE: To investigate the effect of alpha-linolenic acid-rich diacylglycerol (ALA-DAG) compared with alpha-linolenic acid-rich triacylglycerol (ALA-TAG) on visceral fat area (VFA) in people with overweight.
METHODS: Subjects with overweight were recruited to a randomized, double-blind, controlled, parallel-group designed trial and randomly allocated to two groups that consumed either 2.5 g/d ALA-TAG or ALA-DAG for 12 weeks. Two 4-week nontreatment periods were placed before and after the treatment period. One hundred fourteen subjects (n = 57 in the ALA-TAG group, n = 57 in the ALA-DAG group) were enrolled into the analysis set for efficacy evaluation.
RESULTS: The VFA and BMI were significantly decreased by the ALA-DAG treatment with a treatment-by-time interaction compared with the ALA-TAG treatment (P < 0.05). Additionally, the change from baseline of the fasting serum TAG concentration at week 12 was significantly decreased by ALA-DAG treatment compared with ALA-TAG treatment (P < 0.05). Safety parameters such as urinary measurements, hematologic parameters and blood biochemistry, and the incidence of adverse events did not differ significantly between groups, and no ALA-DAG-associated adverse effects were detected.
CONCLUSIONS: Incorporation of ALA-DAG in a regular diet for 12 weeks may lead to a reduction in VFA, BMI, and serum TAG in men and women with overweight.
© 2017 The Authors. Obesity published by Wiley Periodicals, Inc. on behalf of The Obesity Society (TOS).

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Year:  2017        PMID: 28851088      PMCID: PMC5638073          DOI: 10.1002/oby.21938

Source DB:  PubMed          Journal:  Obesity (Silver Spring)        ISSN: 1930-7381            Impact factor:   5.002


Introduction

Visceral fat is a well‐known risk factor for mortality, probably independent from subcutaneous fat and waist circumference (WC) 1, 2, 3. Higher visceral fat area (VFA) is more strongly associated with the clustering of metabolic risk factors such as hypertension, high blood glucose, high triacylglycerol (TAG), and low high‐density lipoprotein cholesterol than higher subcutaneous fat, WC, or BMI 4, 5. These findings suggest that not only BMI but also VFA should be reduced to decrease the risk of metabolic syndrome‐induced coronary heart disease. Lifestyle improvements, particularly dietary habits, are well established as important first‐line therapy against visceral fat 6. Alpha‐linolenic acid (ALA) is a plant‐derived polyunsaturated n‐3 (omega‐3) fatty acid that is considered an essential fatty acid because it cannot be produced in the human body. Studies in rodents have revealed that an ALA‐rich oil upregulates fatty acid metabolism in the liver 7 and reduces liver fat and body weight 8, 9 compared with high‐oleic or ‐linoleic oils. In humans, however, ALA‐rich oil does not affect energy metabolism 10, 11 or body weight 12 compared with high‐oleic or ‐linoleic oils. Therefore, we hypothesized that conventional ALA‐rich oils have the potential to partially improve fat metabolism and obesity at a dose range appropriate for consumption by humans. While TAG is the dominant lipid structure, diacylglycerol (DAG) and monoacylglycerol are minor constituents making up ∼10% of conventional edible oils that have a long history of human consumption. Dietary DAG is not easily resynthesized to TAG in the intestinal mucosa in animals 13, 14, 15 and thus reduces postprandial hyperlipidemia in humans compared with conventional edible oils containing TAG as the major constituent 16, 17. Additionally, our recent studies have demonstrated that long‐term repeated consumption of ALA‐rich DAG (ALADAG) enhances energy metabolism in humans 18, 19 and reduces VFA compared with oleic acid‐rich rapeseed oil in people with obesity 20. In these previous reports, we could not determine whether the DAG structure enhanced the ALA effects against visceral fat because of a different fatty acid composition between the control oil (high‐oleic TAG; rapeseed oil) and ALADAG. Therefore, in the present study, we investigated the effect of ALADAG on VFA in overweight individuals in comparison with ALA‐rich TAG (ALATAG).

Methods

Ethics and management

This study was performed in accordance with the tenets of the Declaration of Helsinki (2013) and approved by the Ethics Review Board of Oriental Ueno Kenshin Center (Tokyo, Japan). After receiving a full explanation of the study, all participants provided written informed consent. The study was conducted at Oriental Ueno Kenshin Center (Tokyo, Japan) and Tohto Bunkyo Hospital (Tokyo, Japan) and was managed by a contract research organization (CRO), TES Holdings Co., Ltd. (Tokyo, Japan). The CRO managed the random allocation, enrollment, and assignment of participants and the blinding of the assignments and assessed outcomes under the supervision of the physician in charge.

Design and protocol

This was a randomized, double‐blind, controlled, parallel‐group designed study with a 12‐week treatment period and a 4‐week nontreatment period before and after the treatment period (−4 and +4 weeks). Randomized allocations to two groups consuming either ALATAG or ALADAG were conducted during the first 4‐week nontreatment period (between weeks −4 and 0). The primary outcome was VFA, and secondary outcomes were BMI, WC, and safety parameters. Based on the mean global intake of ALA (1.4 g/d) reported in 2014 21 and our previous human studies that have demonstrated positive effects 18, 19, 20, the dose of the test oils was set at 2.5 g/d, which contained 1.3∼1.4 g/d of ALA. One serving (2.5 g/d) of the test oils was packed into individual plastic bottles and consumed with the habitual diet of the subjects with no menu limitations (e.g., the test oils were allowed to be mixed with salad, yogurt, soup, cooked meat, bread, rice, or their favorite food item). The subjects were instructed to consume one full serving with one meal. Additionally, subjects were not allowed to add the oil to snacks between meals and were prohibited from cooking with it such as in a stir‐fry. Treatment allocation was concealed throughout the study (from screening to finalizing the data set) among the people involved, including subjects, caregivers, physicians, CRO members, test diet manufacturer, and person in charge of allocation and outcome assessors. Based on the dietary records for the 3 days before the measurements, the amounts of nutrients consumed were analyzed. The subjects were instructed to limit their alcohol consumption to less than 30 g/d and to maintain their usual exercise and smoking habits during the study. To confirm their physical activity level, the subjects recorded their number of daily steps measured using a pedometer. Compliance was assessed from the records provided by the subjects and also checked by collected containers after consumption.

Subjects

Potential subjects were recruited from among volunteers who lived in the Tokyo area in Japan. The subjects were screened based on the inclusion and exclusion criteria. Inclusion criteria were as follows: 1 BMI 25 to < 30 kg/m2; 2 VFA ≥ 120 cm2; 3 men and postmenopausal women age 35 to < 65 years; and 4 ability to provide informed consent. Exclusion criteria were as follows: 1 presence of liver, kidney, and cardiovascular disease; respiratory, endocrine, metabolic, nervous system, or cognitive disorders; and diabetes mellitus or other diseases; 2 surgery within 2 months before the trial; 3 taking medications for hyperglycemia, lipidemia, or hypertension; 4 taking supplements or foods authorized by the government as specific health treatments; 5 unpleasant feeling during blood drawing; 6 donated 200 mL or more blood within 1 month before the trial; 7 changes in weight of 2 kg or more within 3 months before the trial; 8 shift worker; 9 business trip planned for 10 consecutive days or more during the trial; 10 allergies to any constituents in the test diet; 11 planned participation in another clinical trial; 12 unable to provide informed consent; and 13 determined to be unqualified by the physician in charge. The power calculation was based on the results of a related study showing reduced VFA by ALADAG treatment 20. The power calculation indicated that 44 subjects per group were required (power 0.8 and type I error 0.05) to detect a significant difference in VFA. Assuming a 20% dropout rate, target enrollment was set at 60 per group. Potential subjects were allocated to each group by stratified randomization with sex, age, VFA, and BMI as stratification factors using computer‐generated random numbers under blinded conditions.

Study period

Recruitment of participants was conducted in April 2016. Screening visits were performed from May 14 to May 29, 2016. The treatment period was for 12 weeks from June 18 to September 13, 2016. Visits for the measurements, including posttreatment observations, were completed by December 17, 2016.

Test oil

Crude ALADAG was manufactured from linseed oil (Summit Oil Corporation, Chiba, Japan) by the Kao Corporation (Tokyo, Japan) according to the method reported by Watanabe et al. 22. Crude ALATAG comprised linseed oil (Summit Oil Corporation, Chiba, Japan). To prepare the test oils for the trial, the crude oils were mixed with antioxidants and emulsifying agents to confer higher stability for storage. The test oils consisted of more than 99% pure oil and less than 1% stabilizers and were packaged in single doses to provide a daily dose of 2.5 g (22.5 kcal). ALA esterified to DAG constituted 0.9 g as fatty acid weight per 2.5 g of the ALADAG. ALATAG and ALADAG could not be distinguished by appearance, taste, or odor and were provided to the CRO after concealment. The CRO then reconcealed the test oils and provided them to the subjects. The subjects were instructed to store the test oils in a refrigerated state, and prior to consumption, they were to leave the test oil unrefrigerated until it reached room temperature. The compositions of the test oils are shown in Table 1.
Table 1

Composition of the test oils

ConstituentsALA‐TAGALA‐DAG
Acylglycerols, g/100 g
DAG 2.878.1
ALA esterified to DAG 1.637.0
Monoacylglycerol 0.00.5
Free fatty acid 0.10.1
TAG and others 97.221.3
Fatty acids, g/100 g
C16:0 5.13.5
C18:0 3.22.1
C18:1 18.023.2
C18:2 14.916.5
C18:3 57.653.4
C20:0 0.00.0
C20:1 0.20.2
C22:0 0.20.2
Others 0.80.9
Composition of the test oils

Measurements

VFA was measured at weeks −4 (screening visit and start of pre‐nontreatment period), 0 (baseline), 4, 8, 12 (end of treatment period), and +4 (end of post‐nontreatment period) using an impedance instrument (EW‐FA90; Panasonic Corporation, Osaka, Japan), which has results highly correlated with the computed tomography method 23 and is authorized as a medical device in Japan (No. 22500BZX00522000). The urinary measurements included glucose, protein, bilirubin, urobilinogen, ketone bodies, occult blood reaction, pH, and gravity. Overnight fasting blood samples were obtained to measure hematologic parameters such as white blood cells, red blood cells, hemoglobin, hematocrit, mean corpuscular volume, mean cell hemoglobin, mean corpuscular hemoglobin concentration, and platelets. Blood samples for hemoglobin A1c measurement were collected using EDTA2Na‐containing tubes. Plasma samples for glucose measurement were obtained by centrifugation (4°C, 3000 rpm, 15 min) of the blood samples collected using EDTA2Na‐containing tubes. The other blood biochemistries or blood electrolytes (sodium, chlorine, calcium, phosphorus, and iron) were measured using serum samples obtained by centrifugation (4°C, 3000 rpm, 15 min) of the blood samples after standing at room temperature for 15 minutes. The urinary and blood measurements were analyzed by Health Sciences Research Institute, Inc. (Kanagawa, Japan). All samples were collected after the subjects fasted for more than 12 hours.

Statistics

Analyses were performed with SPSS Statistics version 19 software (IBM Inc., Armonk, New York). The samples for efficacy evaluation included data from all subjects who completed at least week 0 and 12 of the measurements. To determine the primary and secondary outcomes, significant differences were assessed using a linear mixed effects model with fixed effects for treatment and time interaction. As exploratory data analyses and safety evaluations, significant differences were assessed between groups using Student's t test when the data were normally distributed. When the data were not normally distributed, the data were log‐transformed prior to analysis. When the data could not be log‐transformed, the Mann‐Whitney U test was performed. The incidence of adverse events was assessed with Fisher's exact test (two‐tailed) in the samples, including data from all subjects who had at least one clinic visit after consuming at least one test oil. As additional analyses, correlation between the changes in VFA and all of the measured parameters was assessed in the ALADAG group for Pearson's coefficient of correlation when the data from both data sets were normally distributed and for Spearman's coefficient of correlation when the data from either data set were not normally distributed. A P value of less than 0.05 was considered statistically significant. Data are shown as mean ± SD.

Results

Subjects and characteristics

As shown in Figure 1, of the 374 individuals who underwent screening, 126 were randomly assigned to one of the two treatment groups (63 subjects per group). In the ALATAG group, three subjects dropped out of the study (one subject withdrew before the treatment for personal reasons, one subject withdrew at week 4 for personal reasons, one subject dropped out at week 8 for business reasons), and three subjects did not complete the measurement of the primary outcome at the 0‐ or 12‐week time points because of problems related to the measuring instruments or measuring conditions. In the ALADAG group, three subjects dropped out from the study (two subjects withdrew before the treatment for personal reasons and one subject withdrew at week 12 because of hospitalization following a traffic accident), and three subjects did not complete the measurement of the primary outcome at the 0‐ or 12‐week time points because of problems related to the measuring instruments or measuring conditions. The sample for efficacy evaluation comprised 57 subjects (male/female, 45/12; age, 52 ± 7 years) in the ALATAG group and 57 (male/female, 45/12; age, 51 ± 7 years) in the ALADAG group. None of the parameters measured at baseline differed significantly between groups.
Figure 1

Participant flow through the study. Values are expressed as the number of participants.

Participant flow through the study. Values are expressed as the number of participants.

Daily habit

The consumption rates of the test oils were 99.6% ± 1.9% in the ALATAG group and 99.2% ± 4.0% in the ALADAG group, with no significant difference between groups. The subjects recorded their diets for 3 days before each clinic visit, and a registered dietician analyzed the dietary records based on the Food Composition Table (Kagawa Nutrition University Publishing Division, Saitama, Japan). The energy, protein, fat, carbohydrate, and fiber intake did not differ significantly between groups throughout the study. Although the mean number of steps differed significantly between groups from week −4 to week −1, no significant differences in number of steps were detected throughout the treatment period. The dietary and step records in the samples for efficacy evaluation are shown in Table 2.
Table 2

Dietary and step records during the study

Week −4Week 0Week 4Week 8Week 12Week +4
Energy, kJ/d
ALA‐TAG 6,990 ± 2,8317,274 ± 2,9717,354 ± 2,9317,164 ± 2,8127,329 ± 3,0327,201 ± 2,835
ALA‐DAG 6,825 ± 2,8837,233 ± 2,9306,967 ± 2,8487,311 ± 3,3737,167 ± 2,9377,275 ± 3,067
Protein, g/d
ALA‐TAG 65.9 ± 14.968.4 ± 15.370.7 ± 18.266.3 ± 22.468.3 ± 17.967.7 ± 16.4
ALA‐DAG 65.6 ± 15.671.7 ± 16.168.2 ± 15.367.9 ± 18.769.9 ± 18.670.5 ± 19.3
Fat, g/d
ALA‐TAG 65.6 ± 23.066.9 ± 22.967.2 ± 23.165.5 ± 21.267.7 ± 23.969.7 ± 21.7
ALA‐DAG 62.9 ± 21.266.8 ± 19.061.0 ± 17.066.3 ± 25.268.3 ± 19.267.0 ± 21.9
CHO g/d
ALA‐TAG 232.6 ± 50.6245.3 ± 64.2248.6 ± 54.4244.5 ± 43.4248.1 ± 56.9236.5 ± 48.3
ALA‐DAG 223.6 ± 63.8237.9 ± 64.1236.7 ± 69.6247.7 ± 85.4233.5 ± 64.6241.0 ± 73.0
Fiber, g/d
ALA‐TAG 11.0 ± 3.810.5 ± 3.711.5 ± 4.310.9 ± 3.411.6 ± 4.110.6 ± 2.8
ALA‐DAG 9.9 ± 3.611.2 ± 3.410.5 ± 3.111.3 ± 3.511.0 ± 3.710.6 ± 3.3
Week −4 ∼ −1Week 0 ∼ 4Week 5 ∼ 8Week 9 ∼ 12Week +1 ∼ +4
Step, steps/d
ALA‐TAG 7,408 ± 3,1397,626 ± 3,1287,502 ± 2,9767,361 ± 2,5947,545 ± 2,514
ALA‐DAG 8,588 ± 3,142*8,609 ± 3,3048,539 ± 3,3788,173 ± 3,1328,617 ± 3,666

Data are mean ± SD. *P < 0.05 between groups. CHO, carbohydrate.

Dietary and step records during the study Data are mean ± SD. *P < 0.05 between groups. CHO, carbohydrate.

Body composition variables as primary and secondary outcomes

The VFA (Table 3) and BMI (Table 4) in the ALADAG group were significantly decreased with a treatment‐by‐time interaction compared with those in the ALATAG group. Exploratory analyses indicated that the changes in VFA from baseline were significantly reduced in the ALADAG group compared with the ALATAG group at weeks 4, 8, and 12 (Table 3). Reductions of VFA were similar between men and women (delta values were −6 ± 20 cm2 and −5 ± 18 cm2, respectively), but no significant interactions were found between the groups in either sex presumably because of lack of power (n = 45 and 12, P = 0.096 and 0.125, respectively). The changes in BMI from baseline were also significantly reduced at 12 weeks (Table 4) in the ALADAG group but not at the other time points. Changes from baseline in VFA at week 12 in the ALADAG group correlated significantly with baseline VFA but not with baseline BMI (data not shown). Additionally, changes from baseline in VFA at week 12 in the ALADAG group correlated significantly with changes from baseline in BMI at week 12 (Figure 2A). WC did not differ significantly between groups (Table 4).
Table 3

Changes in VFA

Week −4Week 0Week 4Week 8Week 12Week +4
Absolute value, cm2
ALA‐TAG 152 ± 24148 ± 28152 ± 27149 ± 28150 ± 25151 ± 26
ALA‐DAG 150 ± 21148 ± 27144 ± 27142 ± 24143 ± 28†145 ± 26
Change from week 0, Δcm2
ALA‐TAG 0 ± 0+4 ± 14+1 ± 18+2 ± 15+3 ± 14
ALA‐DAG 0 ± 0−5 ± 21*−7 ± 17*−6 ± 19*−4 ± 24

Data are mean ± SD. Treatment‐by‐time interaction from week 0 to week 12 significantly different between groups, as assessed by linear mixed model; †P < 0.05. As exploratory data analyses, significant differences in changes from baseline (delta value) between groups assessed; *P < 0.05. VFA, visceral fat area.

Table 4

Changes in BMI, body weight, and WC

Week −4Week 0Week 4Week 8Week 12Week +4Δ at week 12
BMI, kg/m2
ALA‐TAG 27.0 ± 1.326.9 ± 1.326.9 ± 1.427.0 ± 1.427.0 ± 1.327.0 ± 1.3+0.1 ± 0.6
ALA‐DAG 26.9 ± 1.226.9 ± 1.326.8 ± 1.426.8 ± 1.426.7 ± 1.4†26.7 ± 1.5−0.2 ± 0.7*
Body weight, kg
ALA‐TAG 76.2 ± 6.776.1 ± 6.776.2 ± 6.876.3 ± 7.076.3 ± 7.276.3 ± 6.9+0.3 ± 1.6
ALA‐DAG 76.3 ± 6.976.1 ± 6.976.1 ± 7.276.1 ± 7.275.7 ± 7.3†75.6 ± 7.3−0.4 ± 1.8*
WC, cm
ALA‐TAG 98.7 ± 4.597.7 ± 4.698.7 ± 4.798.8 ± 5.198.8 ± 4.498.6 ± 4.3+1.0 ± 2.9
ALA‐DAG 98.7 ± 4.597.8 ± 5.198.5 ± 5.097.9 ± 4.798.1 ± 5.198.4 ± 5.1+0.3 ± 2.8

Data are mean ± SD. Treatment‐by‐time interaction from week 0 to week 12 significantly different between groups, as assessed by linear mixed model; †P < 0.05. As exploratory data analyses, significant differences in changes from baseline (delta value) between groups assessed; *P < 0.05. WC, waist circumference.

Figure 2

Correlation between (A) changes in VFA and BMI (r = 0.522, P = 0.000) and (B) VFA and serum TAG concentration (r = 0.043, P = 0.750) at week 12 from baseline in the ALA‐DAG group.

Changes in VFA Data are mean ± SD. Treatment‐by‐time interaction from week 0 to week 12 significantly different between groups, as assessed by linear mixed model; †P < 0.05. As exploratory data analyses, significant differences in changes from baseline (delta value) between groups assessed; *P < 0.05. VFA, visceral fat area. Changes in BMI, body weight, and WC Data are mean ± SD. Treatment‐by‐time interaction from week 0 to week 12 significantly different between groups, as assessed by linear mixed model; †P < 0.05. As exploratory data analyses, significant differences in changes from baseline (delta value) between groups assessed; *P < 0.05. WC, waist circumference. Correlation between (A) changes in VFA and BMI (r = 0.522, P = 0.000) and (B) VFA and serum TAG concentration (r = 0.043, P = 0.750) at week 12 from baseline in the ALADAG group.

Blood biochemistry

There was a significant decrease in the serum TAG concentration in the ALADAG group compared with the ALATAG group even though there were small changes in the normal range (Table 5). One subject with normal serum TAG concentration at baseline (1.23 mmol/L) showed a great change at week 8 (+5.13 mmol/L from baseline), and this may have contributed to the drastic change in serum TAG concentrations between weeks 8 and 12 in the ALATAG group. The large change did not persist up to week 12, and no other subjects had such a large change in either group at weeks 8 and 12. The changes from baseline in the serum TAG concentration at week 12 in the ALADAG group did not significantly correlate with the changes from baseline in VFA at week 12 (Figure 2B). The stratified analyses showed that the delta value at week 12 in the serum TAG concentration in the subgroup with high normal (1.36 ≤ TAG ≤ 1.69 mmol/L; n = 7 in the ALATAG and n = 4 in the ALADAG) and modest hypertriglyceridemia (1.70 ≤ TAG ≤ 2.25 mmol/L; n = 7 in the ALATAG and n = 10 in the ALADAG) (Table 5), and with hypertriglyceridemia (TAG ≥ 1.70 mmol/L; n = 15 in the ALATAG and n = 20 in the ALADAG) in the ALADAG group compared with the ALATAG group. The changes from baseline in the serum total protein and albumin concentrations at week 12 and the change from baseline in the serum glucose concentration at week 8 were significantly smaller in the ALATAG group than in the ALADAG group (Table 5). The serum alanine aminotransferase concentration as a liver function parameter was significantly improved in the ALADAG group compared with the ALATAG group at weeks 12 and +4. The serum creatinine concentration as a measure of kidney function was slightly decreased in both groups, and the change from baseline in the serum creatinine concentration at week 12 in the ALATAG group was significantly smaller than that in the ALADAG group.
Table 5

Changes in blood pressure and biochemistry

Week −4Week 0Week 4Week 8Week 12Week +4Δ at week 12
SBP, mmHg
ALA‐TAG 116 ± 13117 ± 14119 ± 13118 ± 14119 ± 14118 ± 15+2 ± 10
ALA‐DAG 117 ± 12116 ± 11115 ± 14116 ± 13117 ± 13117 ± 13+1 ± 9
DBP, mmHg
ALA‐TAG 75 ± 1176 ± 1275 ± 1275 ± 1275 ± 1277 ± 12−1 ± 8
ALA‐DAG 76 ± 9 76 ± 975 ± 1074 ± 1177 ± 1178 ± 10+1 ± 8
TAG, mmol/L
ALA‐TAG 1.52 ± 0.731.43 ± 0.751.59 ± 1.741.71 ± 1.071.46 ± 0.781.48 ± 0.700.03 ± 0.47
ALA‐DAG 1.58 ± 0.871.53 ± 0.891.57 ± 0.861.52 ± 0.731.35 ± 0.611.51 ± 0.91−0.19 ± 0.58*
TAG in HN, mmol/L
ALA‐TAG 1.84 ± 0.561.53 ± 0.111.49 ± 0.461.80 ± 0.341.48 ± 0.351.69 ± 0.34−0.03 ± 0.24
ALA‐DAG 1.22 ± 0.371.52 ± 0.121.46 ± 0.731.28 ± 0.13* 1.05 ± 0.18* 1.82 ± 0.76−0.48 ± 0.06**
TAG in MH, mmol/L
ALA‐TAG 2.03 ± 0.562.01 ± 0.121.80 ± 0.462.26 ± 0.761.97 ± 0.671.87 ± 0.35−0.02 ± 0.48
ALA‐DAG 1.75 ± 0.781.94 ± 0.171.89 ± 0.701.98 ± 0.911.48 ± 0.431.90 ± 0.64−0.45 ± 0.42*
TAG in HT, mmol/L
ALA‐TAG 2.31 ± 0.672.49 ± 0.573.01 ± 2.962.62 ± 0.982.35 ± 0.852.16 ± 0.53−0.10 ± 0.68
ALA‐DAG 2.29 ± 0.912.50 ± 0.822.16 ± 0.772.05 ± 0.801.89 ± 0.582.10 ± 0.92−0.60 ± 0.66*
TKB, μmol/L
ALA‐TAG 103 ± 10482 ± 10079 ± 10477 ± 8078 ± 74−26 ± 86
ALA‐DAG 127 ± 21680 ± 121101 ± 229115 ± 209118 ± 187−11 ± 77
TC, mmol/L
ALA‐TAG 5.76 ± 0.845.65 ± 0.805.78 ± 0.865.62 ± 0.825.58 ± 0.885.69 ± 0.80−0.06 ± 0.51
ALA‐DAG 5.84 ± 0.705.71 ± 0.835.89 ± 0.815.71 ± 0.885.68 ± 0.875.80 ± 0.86−0.03 ± 0.41
LDL‐C, mmol/L
ALA‐TAG 3.67 ± 0.713.63 ± 0.693.65 ± 0.773.47 ± 0.673.52 ± 0.713.59 ± 0.68−0.11 ± 0.45
ALA‐DAG 3.77 ± 0.653.72 ± 0.763.76 ± 0.693.63 ± 0.803.66 ± 0.803.71 ± 0.80−0.05 ± 0.38
HDL‐C, mmol/L
ALA‐TAG 1.48 ± 0.271.47 ± 0.261.44 ± 0.291.40 ± 0.271.41 ± 0.271.45 ± 0.28−0.06 ± 0.12
ALA‐DAG 1.44 ± 0.351.41 ± 0.351.41 ± 0.331.37 ± 0.321.38 ± 0.331.42 ± 0.35−0.03 ± 0.14
Glucose, mmol/L
ALA‐TAG 5.23 ± 0.395.36 ± 0.405.32 ± 0.365.22 ± 0.375.30 ± 0.525.35 ± 0.51−0.06 ± 0.42
ALA‐DAG 5.36 ± 0.435.50 ± 0.565.48 ± 0.555.41 ± 0.57* 5.41 ± 0.545.48 ± 0.65−0.08 ± 0.46
HbA1c, %
ALA‐TAG 5.5 ± 0.25.5 ± 0.25.4 ± 0.25.5 ± 0.25.4 ± 0.25.5 ± 0.30.0 ± 0.1
ALA‐DAG 5.4 ± 0.45.4 ± 0.35.4 ± 0.35.4 ± 0.45.4 ± 0.45.5 ± 0.40.0 ± 0.1
Insulin, pmol/L
ALA‐TAG 56.5 ± 21.354.1 ± 21.363.0 ± 47.362.5 ± 67.967.8 ± 54.68.4 ± 58.8
ALA‐DAG 54.4 ± 27.053.2 ± 34.357.4 ± 27.551.0 ± 26.156.4 ± 35.0−2.2 ± 25.8
AST, U/L
ALA‐TAG 21 ± 523 ± 622 ± 621 ± 722 ± 823 ± 7−1 ± 6
ALA‐DAG 22 ± 523 ± 621 ± 521 ± 620 ± 421 ± 5−3 ± 5
ALT, U/L
ALA‐TAG 27 ± 1029 ± 1527 ± 1526 ± 1328 ± 1529 ± 16−1 ± 8
ALA‐DAG 26 ± 1026 ± 1123 ± 822 ± 923 ± 9* 23 ± 10*−3 ± 7
γ‐GT, U/L
ALA‐TAG 36 ± 1937 ± 2136 ± 2137 ± 2537 ± 2037 ± 220 ± 8
ALA‐DAG 34 ± 2033 ± 2033 ± 2633 ± 2233 ± 2032 ± 230 ± 5
ALP, U/L
ALA‐TAG 216.6 ± 43.9214.4 ± 53.9212.1 ± 49.2211.3 ± 51.5210.7 ± 47.5−5.3 ± 20.7
ALA‐DAG 208.2 ± 54.1209.7 ± 54.3204.8 ± 52.3210.1 ± 55.6209.0 ± 55.31.9 ± 26.2
LDH, U/L
ALA‐TAG 174.2 ± 21.8171.6 ± 23.2177.2 ± 25.3172.0 ± 22.5169.3 ± 22.2−2.2 ± 12.3
ALA‐DAG 176.6 ± 24.3176.5 ± 25.3179.5 ± 25.6175.7 ± 23.0172.5 ± 24.6−0.9 ± 13.4
TP, g/L
ALA‐TAG 74.0 ± 3.373.3 ± 3.173.4 ± 3.372.6 ± 3.273.0 ± 3.2−1.4 ± 2.5
ALA‐DAG 73.3 ± 4.073.5 ± 4.173.0 ± 3.073.2 ± 3.973.3 ± 3.6−0.1 ± 2.1**
Albumin, g/L
ALA‐TAG 46.1 ± 2.245.5 ± 2.743.7 ± 2.744.0 ± 2.343.7 ± 2.6−2 ± 2
ALA‐DAG 46.1 ± 2.545.6 ± 2.543.6 ± 2.344.7 ± 2.244.2 ± 2.3−1 ± 2*
Uric acid, μmol/L
ALA‐TAG 376 ± 65387 ± 71380 ± 65365 ± 67375 ± 70382 ± 72−12 ± 35
ALA‐DAG 363 ± 69368 ± 61375 ± 65364 ± 72370 ± 72367 ± 702 ± 43
Creatinine, μmol/L
ALA‐TAG 78 ± 1379 ± 1476 ± 1478 ± 1475 ± 1274 ± 14−4 ± 5
ALA‐DAG 77 ± 1378 ± 1377 ± 1378 ± 1376 ± 1274 ± 13−1 ± 5*
UN, mmol/L
ALA‐TAG 4.8 ± 1.25.2 ± 1.44.9 ± 1.34.8 ± 1.24.7 ± 1.34.7 ± 1.2−0.5 ± 1.0
ALA‐DAG 4.6 ± 1.25.1 ± 1.44.6 ± 1.14.7 ± 1.54.8 ± 1.34.7 ± 1.2−0.3 ± 1.0

Data are mean ± SD. Significant differences between groups, *P < 0.05, **P < 0.01. TAG in high normal (HN), modest hypertriglyceridemia (MH), and hypertriglyceridemia (HT); stratified analyses performed in subgroup with high normal (1.36 ≤ TAG ≤ 1.69 mmol/L) and modest hypertriglyceridemia (1.70 ≤ TAG ≤ 2.25 mmol/L) and with hypertriglyceridemia (TAG ≥ 1.70 mmol/L). TKB, insulin, ALP, LDH, TP, and albumin were not measured at week ‐4.

SBP, systolic blood pressure; DBP, diastolic blood pressure; TKB, total ketone bodies; TC, total cholesterol; LDL‐C, low‐density lipoprotein‐cholesterol; HDL‐C, high‐density lipoprotein‐cholesterol; HbA1c, hemoglobin A1c; AST, aspartate aminotransferase; ALT, alanine aminotransferase; γ‐GT, γ‐glutamyltransferase; ALP, alkaline phosphatase; LDH, lactase dehydrogenase; TP, total protein; UN, urea nitrogen.

Changes in blood pressure and biochemistry Data are mean ± SD. Significant differences between groups, *P < 0.05, **P < 0.01. TAG in high normal (HN), modest hypertriglyceridemia (MH), and hypertriglyceridemia (HT); stratified analyses performed in subgroup with high normal (1.36 ≤ TAG ≤ 1.69 mmol/L) and modest hypertriglyceridemia (1.70 ≤ TAG ≤ 2.25 mmol/L) and with hypertriglyceridemia (TAG ≥ 1.70 mmol/L). TKB, insulin, ALP, LDH, TP, and albumin were not measured at week ‐4. SBP, systolic blood pressure; DBP, diastolic blood pressure; TKB, total ketone bodies; TC, total cholesterol; LDL‐C, low‐density lipoprotein‐cholesterol; HDL‐C, high‐density lipoprotein‐cholesterol; HbA1c, hemoglobin A1c; AST, aspartate aminotransferase; ALT, alanine aminotransferase; γ‐GT, γ‐glutamyltransferase; ALP, alkaline phosphatase; LDH, lactase dehydrogenase; TP, total protein; UN, urea nitrogen.

Safety

As shown in Table 6, of the 62 subjects in the ALATAG group and 61 subjects in the ALADAG group included in the safety evaluation, adverse events were reported by 26 and 23 subjects, respectively. The incidence of adverse events did not differ significantly between groups as assessed by Fisher's exact test. The most common adverse events were upper respiratory infection, gastrointestinal complaint, and headache. Other adverse events were considered to be mild or moderate. Because these symptoms were not persistent or likely to occur on a daily basis, adverse effects induced directly by the ALADAG consumption were not considered to have occurred in this trial.
Table 6

Incidence and list of adverse events

ALA‐TAGALA‐DAG
Total number of subjects for safety evaluation 6261
Number of subjects reporting adverse events 2623
List of adverse events reported (alphabetical order) anathema; backache; eye trouble (dry eye or eye fatigue); fatigue; gastrointestinal complaint; headache; high AST, ALT, or γ‐GT level; high glucose, insulin, ketone bodies, TAG, or uric acid levels; incisura; joint ache; labial herpes; mouth inflammation; muscle ache; toothache; upper respiratory infection; urinary lithiasisanathema; backache; bladder inflammation; broken bone; bruise; eye trouble (swelling); fatigue; gastrointestinal complaint; genital pain; headache; high AST, ALT, or γ‐GT level; high ketone bodies or TAG levels; incisura; joint ache; labial herpes; mouth inflammation; sleeplessness; upper respiratory infection; urinary lithiasis

Number of subjects who reported an adverse event was not significantly different between groups, as assessed by Fisher's exact test.

AST, aspartate aminotransferase; ALT, alanine aminotransferase; γ‐GT, γ‐glutamyltransferase.

Incidence and list of adverse events Number of subjects who reported an adverse event was not significantly different between groups, as assessed by Fisher's exact test. AST, aspartate aminotransferase; ALT, alanine aminotransferase; γ‐GT, γ‐glutamyltransferase. One serious adverse event was reported in one subject in the ALADAG group. The subject was hospitalized with broken bones from a traffic accident and dropped out of the study. The physician in charge deemed no cause‐and‐effect relationship between ALADAG and this serious adverse event. In general, the incidence of abnormal blood values and urinary measurements was similar between groups. Throughout the study, there was no significant difference between groups in the absolute values of heart rate, body temperature, hematologic parameters, or blood electrolytes. Only the potassium values at weeks 4 and 12 and the magnesium values at week 12 were significantly higher in the ALADAG group than in the ALATAG group, but the means were within the normal range. Comprehensively, abnormal changes beyond physiologic variation in all measured safety parameters among the individual subjects throughout the study were not considered to have occurred in this trial.

Discussion

ALA‐rich linseed and perilla oils are conventionally consumed globally 21 and are reported to improve fat metabolism and reduce body fat in rodents 7, 8, 9 but not in humans 10, 11, 12. In the present study, ALATAG did not reduce VFA and BMI from baseline (Tables 3 and 4). These results indicate that the effects of consuming ALA alone on VFA and BMI are not adequate in the amounts consumed by humans. Previous studies in rodents reported that ALADAG stimulates beta‐oxidation‐related enzymes and gene expression in the small intestine 24 and liver 25 compared with ALATAG. Therefore, we hypothesized that the DAG structure enhances the effect of ALA even in humans, and the results of this study support our hypothesis. The effect of ALADAG on VFA was moderate but clear and was detected in a relatively short period (4‐week time points, Table 3). Additionally, the reduction of VFA correlated significantly with the reduction in BMI (Figure 2A), suggesting that weight loss was accompanied by a reduction in body fat. Weight loss was maintained and no rebound was observed during the follow‐up period (Table 4). These findings led us to conclude that the DAG structure enhanced the effect of ALA beyond the improvement of visceral obesity in humans, leading to healthy weight loss with no rebound within a month. In the present study, serum TAG concentrations were improved in the ALADAG group compared with the ALATAG group (Table 5). A possible mechanism is that the availability of fatty acids as a substrate for TAG synthesis was reduced because of induced beta‐oxidation in the small intestine and liver by the ALADAG treatment 24, 25, leading to reduced TAG accumulation in the liver 25 and serum TAG concentration. Although increasing VFA is strongly associated with the clustering of metabolic risk factors 4, reduction of the serum TAG concentrations did not correlate with the reduction of VFA (Figure 2B). This finding suggests that the reduction of serum TAG is independent from the reduction of VFA. Although WC was reported to correlate with visceral fat in both diabetic and nondiabetic subjects 26, it was also reported that the correlation between VFA and WC varied considerably among individuals; for example, men with WC between 85.0 and 86.0 cm had VFA in the range of 67 to 137 cm2 in a Japanese population 23. In the present study, these individual variations or other factors, such as seasonal variation of subcutaneous fat, could potentially affect the result showing no reduction of WC in the ALADAG group, despite the significant reduction of VFA in the present study. Because subcutaneous fat was not measured in this study, we cannot discuss the relationship among VFA, subcutaneous fat, and WC, and this is a limitation of the study. Other limitations and potential biases of this trial are the imbalanced number of male and female subjects (45 men and 12 women in both groups, respectively); the recruitment of men and postmenopausal women but not premenopausal women; study performed in a single race (Japanese); some of the included authors being employees of the manufacturer of the test oil; and exploratory analyses being performed statistically without adjusting the P values for multiple comparisons. Although a slightly lower energy intake and a slightly greater number of steps during the treatment period were observed in the ALADAG group compared with the ALATAG group, which might affect primary and secondary outcomes, these differences were not statistically significant and were not considered to have enough of an impact to overturn the conclusion.

Conclusion

This study was performed under sufficiently powered and adequately blinded conditions. These findings suggest that incorporation of ALADAG in a regular diet for 12 weeks reduces VFA, BMI, and serum TAG in men and women with overweight.
  24 in total

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Authors:  Yasutoshi Ando; Shinichiro Saito; Nami Yamanaka; Chizuka Suzuki; Takahiro Ono; Noriko Osaki; Yoshihisa Katsuragi
Journal:  J Oleo Sci       Date:  2017       Impact factor: 1.601

2.  Supplementation with alpha-linolenic acid-rich diacylglycerol suppresses fatty liver formation accompanied by an up-regulation of beta-oxidation in Zucker fatty rats.

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Journal:  Biochim Biophys Acta       Date:  2005-01-13

3.  Visceral fat is an independent predictor of all-cause mortality in men.

Authors:  Jennifer L Kuk; Peter T Katzmarzyk; Milton Z Nichaman; Timothy S Church; Steven N Blair; Robert Ross
Journal:  Obesity (Silver Spring)       Date:  2006-02       Impact factor: 5.002

4.  Visceral adiposity and the risk of metabolic syndrome across body mass index: the MESA Study.

Authors:  Ravi V Shah; Venkatesh L Murthy; Siddique A Abbasi; Ron Blankstein; Raymond Y Kwong; Allison B Goldfine; Michael Jerosch-Herold; João A C Lima; Jingzhong Ding; Matthew A Allison
Journal:  JACC Cardiovasc Imaging       Date:  2014-11-05

5.  Dietary diacylglycerol in a typical meal suppresses postprandial increases in serum lipid levels compared with dietary triacylglycerol.

Authors:  Kazuichi Tomonobu; Tadashi Hase; Ichiro Tokimitsu
Journal:  Nutrition       Date:  2006-02       Impact factor: 4.008

6.  Digestion and assimilation features of dietary DAG in the rat small intestine.

Authors:  Hidehiko Kondo; Tadashi Hase; Takatoshi Murase; Ichiro Tokimitsu
Journal:  Lipids       Date:  2003-01       Impact factor: 1.880

7.  Activity of hepatic fatty acid oxidation enzymes in rats fed alpha-linolenic acid.

Authors:  Y Kabir; T Ide
Journal:  Biochim Biophys Acta       Date:  1996-11-22

8.  Associations of visceral and subcutaneous fat areas with the prevalence of metabolic risk factor clustering in 6,292 Japanese individuals: the Hitachi Health Study.

Authors:  Yumi Matsushita; Toru Nakagawa; Shuichiro Yamamoto; Yoshihiko Takahashi; Tetsuji Yokoyama; Mitsuhiko Noda; Tetsuya Mizoue
Journal:  Diabetes Care       Date:  2010-05-11       Impact factor: 19.112

9.  Beneficial effects of alpha linolenic acid rich flaxseed oil on growth performance and hepatic cholesterol metabolism in high fat diet fed rats.

Authors:  K Vijaimohan; Mallika Jainu; K E Sabitha; S Subramaniyam; C Anandhan; C S Shyamala Devi
Journal:  Life Sci       Date:  2006-02-21       Impact factor: 5.037

10.  Global, regional, and national consumption levels of dietary fats and oils in 1990 and 2010: a systematic analysis including 266 country-specific nutrition surveys.

Authors:  Renata Micha; Shahab Khatibzadeh; Peilin Shi; Saman Fahimi; Stephen Lim; Kathryn G Andrews; Rebecca E Engell; John Powles; Majid Ezzati; Dariush Mozaffarian
Journal:  BMJ       Date:  2014-04-15
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Authors:  Gitishree Das; Ourlad Alzeus G Tantengco; Rosa Tundis; Joyce Ann H Robles; Monica Rosa Loizzo; Han Seung Shin; Jayanta Kumar Patra
Journal:  Plants (Basel)       Date:  2022-09-01

Review 4.  Current Evidence to Propose Different Food Supplements for Weight Loss: A Comprehensive Review.

Authors:  Mikiko Watanabe; Renata Risi; Davide Masi; Alessandra Caputi; Angela Balena; Giovanni Rossini; Dario Tuccinardi; Stefania Mariani; Sabrina Basciani; Silvia Manfrini; Lucio Gnessi; Carla Lubrano
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