전체메뉴
Article Search

PNF Preventive Nutrition and Food Science

Open Access


ISSN 2287-8602
QR Code QR Code

Original

Article

Original

Prev Nutr Food Sci 2022; 27(2): 165-171

Published online June 30, 2022 https://doi.org/10.3746/pnf.2022.27.2.165

Copyright © The Korean Society of Food Science and Nutrition.

FiberCreme as a Functional Food Ingredient Reduces Hyperlipidemia and Risk of Cardiovascular Diseases in Subjects with Hyperlipidemia

Sunarti1 , Hasanah Mumpuni2 , Nadia Yasmine3 , Yustinus Marsono4 , Dwi Larasatie Nur Fibri4 , Agnes Murdiati4

1Department of Biochemistry, Faculty of Medicine, Public Health, and Nursing, Gadjah Mada University, Yogyakarta 55281, Indonesia
2Department of Cardiology and Vascular Medicine, Faculty of Medicine, Public Health, and Nursing, Dr. Sardjito General Hospital, Gadjah Mada University, Yogyakarta 55281, Indonesia
3Faculty of Medicine, Public Health, and Nursing, Gadjah Mada University, Yogyakarta 55281, Indonesia
4Department of Food and Agricultural Product Technology, Faculty of Agricultural Technology, Gadjah Mada University, Yogyakarta 55281, Indonesia

Correspondence to:Sunarti, E-mail: nartyr@ugm.ac.id

Received: February 23, 2022; Revised: April 25, 2022; Accepted: May 4, 2022

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

FiberCreme is a commercial nondairy creamer made with isomalto-oligosaccharides (IMO) that is a source of dietary fiber. A study showed that IMO could decrease cholesterol (CH) and triglycerides, which are factors related to the risk of cardiovascular diseases and insulin resistance. This study evaluated FiberCreme’s ability as a functional food ingredient to reduce CH and the risk of cardiovascular diseases in subjects with hyperlipidemic. This controlled clinical study trial involved 53 (23∼57 years old) subjects with borderline high CH (>190 mg/dL) or triglycerides (>150 mg/dL) or both, who were divided into FiberCreme and control groups. The participant received 86 g of cookies daily for 4 weeks. The FiberCreme and control groups consumed FiberCreme-containing cookies and cookies with coconut cream with 5.78% and 4.69% fibers, respectively. Lipid profile, anthropometry, body composition, and food intake were also measured. Data analysis was performed using SPSS v.25. This study suggests that FiberCreme cookies can significantly reduce CH, triglycerides, and cardiac risk ratio scores.

Keywords: cardiac risk ratio scores, cholesterol, FiberCreme, isomalto-oligosaccharides, triglyceride

INTRODUCTION

Many animal and human studies have reported that dietary fiber (DF) promotes health and prevents diseases, even cardiovascular diseases. However, DF is resistant to enzymatic digestion in the human gastrointestinal tract (GIT). Thus, the intestinal cells do not absorb it; nonetheless, colonic bacteria ferment it partially or wholly to produce short-chain fatty acids (SCFAs). FiberCreme is a healthy commercial nondairy creamer that uses a combination of fiber from various oligosaccharides and fully hydrogenated coconut oil to replace the glucose in conventional creamer. Isomalto-oligosaccharides (IMO) are DFs in the form of oligosaccharides that improve lipid profiles (Wang et al., 2001; Marsono et al., 2020) and are components of FiberCreme.

Many animal and human studies showed that IMO can improve lipid profiles. For example, replacing cellulose with IMO in the diet of rats reduced total plasma lipids, cholesterol (CH), and triglycerides compared with the control group (Marsono et al., 2020). Supplementation with 10 g of IMO daily for 4 weeks was effective in reducing total plasma CH and low-density lipoprotein-CH (LDL-C) (Yen et al., 2011). Additionally, patients receiving hemodialysis taking 30 g of IMO for 4 weeks had lower total CH and triglyceride levels and higher high-density lipoprotein-CH (HDL-C) levels than the baseline (Wang et al., 2001). FiberCreme has also been reported to improve blood lipid profiles in rats fed a high-CH diet (Marsono et al., 2020).

CH can be used to determine the atherogenic index, which helps predict cardiometabolic risk, e.g., the cardio-risk ratio (CRR), calculated from the CH/HDL-C formula (Lafta, 2014). Blood CH levels are determined by endogenous synthesis and absorption of dietary CH and reabsorption of bile salts that influence bile synthesis.

Many pathways have been proposed to explain the effect of DF in lowering CH. DF deconjugates bile acids, leading to decreased reabsorption and increased excretion of bile acids in feces and stimulating the liver to synthesize bile from circulating CH. Han et al. (2019) reported that cereal fiber reduces the absorption and increases intestinal CH efflux and clearance in rats fed a high-CH diet. This occurs by modulating peroxisome proliferator-activated receptor (PPAR)α, liver X receptor (LXR)α, and sterol-regulatory element binding proteins (SREBPs) signaling pathways, which are involved in CH metabolism to lower CH levels.

The DF fraction of Pleurotus ostreatus (PDF) induces mRNA expression of CH-associated genes [e.g., diacylglycerol acyltransferase 1 (DGAT1), farnesyl-diphosphate farnesyltransferase 1 (FDFT1), sterol-O-acyltransferase 1 (SOAT1), and SREBF1] which can exhibit CH-lowering effects in Caco-2 cell cultures (Caz et al., 2015). Furthermore, Hu et al. (2020) showed that a dextrin resistance intervention (5 g/kg body weight) for 10 weeks decreased CH and lipid deposition in the liver and increased insulin resistance in rats induced by a high-fat and high-fructose diet. Therefore, DF is recommended to lower blood CH levels and statins (Soliman, 2019). This study evaluated the benefits of the high IMO content in FiberCreme as a functional food ingredient to reduce hyperlipidemia and the risk of cardiovascular diseases.

MATERIALS AND METHODS

Study participants and settings

This controlled clinical study trial involved 53 (23∼57 years old) hyperlipidemic participants who were divided into FiberCreme (n=27) and control (n=26) groups. Participant’s criteria were borderline high CH (>190 mg/dL) or triglycerides (>150 mg/dL) or both. The participants were excluded if they had a severe hyperlipidemia-related illness, pregnancy, or lactation. The recruitment of participants was conducted by distributing videos to target subjects containing explanations related to the aims and objectives of the study and possible side effects. This study started after obtaining ethical approval from the Medical and Health Research Ethics Committee of the Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia (REF no. KE/FK/0404/EC/2021). All protocols followed the guidelines endorsed in the Declaration of Helsinki. Informed consent forms were completed and signed by the participants before study participation.

Data collection

The sample size was determined based on the results of changes in total CH levels of 18% (0.18) from a study by Mohamed et al. (2015). The minimum sample size (n=20) was determined for each group following the formula by Kadam and Bhalerao (2010), with a research power and a significance level of 80% and 0.05, respectively. The sample size was increased by 50% to anticipate dropouts (31 participants per group) because this study was conducted during the COVID-19 pandemic.

This study involved hyperlipidemic participants; therefore, the formulation of cookies was developed to obtain a low-fat but sufficient fiber content. The compositions of both cookies were similar except for the intervention cookies, which contained 1) FiberCreme, while the control cookies 2) contained coconut cream in a similar amount. Both cookies were packed in similar packages and divided between participants every 2 weeks. An investigator not involved in the cookies’ preparation performed the intervention blinding, and the statistician was blinded to the study until the analysis ended. The nutritional facts of both cookies are presented in Table 1.

Table 1 . Nutritional composition in 100 g of FiberCreme and coconut cookies.

CompositionFiberCreme cookiesCoconut cookies
Energy (kcal)409.00393.80
Lipid (%)11.4511.98
Carbohydrate1) (%)71.8969.82
Protein (%)5.044.83
Water (%)4.737.31
Ash (%)1.111.37
Fiber (%)5.784.69

1)Carbohydrate content calculated by difference..



Based on previous studies, foods containing 2.5∼4.9 g per serving are good fiber sources (Home & Garden Information Center, 2021). FiberCreme cookies, for example, contain 5.78% fiber (Table 1), and each participant received 86 g of cookies daily, containing 4.9 g of fiber, for 4 weeks. However, in the end, the average consumption of cookies was 80 g daily (93%), containing 4.62 g of fiber, because some participants contracted COVID-19 during the intervention and could not consume all cookies daily. The distribution of cookies to participants every 2 weeks and consumption of cookies were monitored and ensured by WhatsApp (WhatsApp LLC., Menlo Park, CA, USA). Additionally, participants were asked to consume their usual diet and perform regular physical activities during the intervention.

The primary outcomes were lipid profile and CRR. In contrast, the secondary outcomes were anthropometry, body age, body fat, visceral fat, blood pressure, and dietary intake related to energy, carbohydrates, protein, total fat, and DF. All variables were assessed at the start and end of the intervention.

Anthropometric measurements and body composition

All variables were measured twice, before and after the intervention. First, anthropometry and body composition were determined by bioimpedance analysis and height according to the midline. Meanwhile, body weight (kg) divided by the square of height (m2) was used to determine body mass index (BMI). A Semiquantitative Food Frequency Questionnaire was used to evaluate food intake. The questionnaire results were analyzed using Nutrisurvey 2007 (SEAMEO TROPMED RCCN-University of Indonesia, Jakarta, Indonesia).

Biochemical measurements

Total CH, triglycerides, HDL-C, and LDL-C levels were measured before and after the intervention. To obtain ethylenediaminetetraacetic acid (EDTA) plasma, 10 mL of venous blood was transferred into a vacutainer tube containing EDTA (Wuhan Desheng Chemical Technology Co., Ltd., Wuhan, China) and then centrifuged at 3,000 rpm for 10 min at room temperature. Total CH, triglycerides, HDL-C, and LDL-C were measured by enzymatic colorimetric methods using the Roche diagnostic kit (F. Hoffmann-La Roche Ltd., Basel, Switzerland).

Statistical analysis

Data analysis was performed using SPSS version 25 (IBM Corp., Armonk, NY, USA). Participants’ characteristics were analyzed by Levene’s tests for equality of variance and independent sample t-tests to compare scores between groups. Data in tables were presented as mean and standard deviation (SD), meanwhile data in figure was presented as mean and standard error (SE) with a 95% confidence interval, and differences were significant at P<0.05. Anthropometric scores and dietary intakes are presented as mean±SD. The mean change of scores within each group was analyzed by paired samples t-test. The effects of the cookies’ intervention on changes in lipid profile and the CRR value within and between groups were compared by analysis of variance.

RESULTS

Subjects

This study enrolled 81 volunteers as study participants and 19 were excluded. Based on age criteria, 62 participants were assigned to the FiberCreme group (n=31 receiving the FiberCreme cookies) and the control group (n=31 receiving the coconut cookies). Nine participants did not provide posttest data because they were infected with the COVID-19 virus; thus, the FiberCreme and the control groups had 27 and 26 participants, respectively. Participants’ baseline characteristics did not significantly differ between the two groups except for BMI and body fat (Table 2).

Table 2 . Characteristics of the participants in this study.

CharacteristicFiberCreme groupControl groupP (95% confidence interval)
Age (yr)42.59±9.9946.61±9.860.147 (−9.500 to 1.455)
Weight (kg)70.59±14.1368.20±8.900.465 (−4.142 to 8.943)
Height (cm)157.07±11.67162.08±7.280.068 (−9.499 to 1.453)
Body mass index (kg/m2)28.44±4.0925.90±2.190.007* (0.725 to 4.362)
Waist/hip ratio0.91±0.090.92±0.070.833 (−0.048 to 0.039)
Body age (yr)55.96±8.4751.35±8.590.054 (0.090 to 9.323)
Body fat (%)35.74±6.1229.51±4.10<0.001* (3.345 to 9.114)
Visceral fat (%)11.44±4.139.39±4.190.077 (−0.235 to 4.354)
Systolic blood pressure (mm Hg)122.96±13.25125.00±8.600.512 (−8.223 to 4.149)
Diastolic blood pressure (mm Hg)80.00±12.0984.62±7.610.104 (−10.210 to 0.979)

Values are presented as mean±standard deviation or number (range)..

Significant difference at *P<0.05..



Anthropometry and food intake data

The consumption of total energy, carbohydrates, and fiber significantly increased after 4 weeks of intervention, but no significant changes were noted in body weight and BMI in the FiberCreme and control groups (P>0.05; paired Student’s t-test; Table 3).

Table 3 . Anthropometric and dietary intake cores before and after the intervention.

Variables periodFiberCreme group (n=27)Control group (n=26)


Mean±SDP (95% CI)Mean±SDP (95% CI)
Anthropometric
Weight (kg)
Before70.60±14.130.340 (−0.247 to 0.692)67.81±9.4050.589 (−0.383 to 0.659)
After70.37±14.2767.67±9.647
BMI (kg/m2)
Before28.44±4.090.231 (−0.075 to 0.298)25.90±2.190.324 (−0.209 to 0.608)
After28.32±3.9425.70±2.61
Dietary intake
Energy (kcal/d)
Before2,192.30±982.70<0.001* (−450.144 to 208.395)1,981.41±703.90<0.001* (−418.230 to −215.015)
After2,521.56±1,022.862,298.03±772.24
Carbohydrate (g/d)
Before236.35±128.97<0.001* (−74.509 to 44.320)224.19±93.41<0.001* (−75.923 to −43.178)
After295.76±126.28283.74±103.88
Protein (g/d)
Before74.81±35.590.295 (−9.880 to 3.121)70.64±34.660.338 (−8.941 to 3.186)
After78.19±37.2873.51±33.78
Total fat (g/d)
Before114.69±56.960.091 (−15.054 to 1.189)101.57±38.160.090 (−14.127 to 1.083)
After121.63±61.06108.10±38.97
Dietary fiber (g/d)
Before21.02±11.71<0.001* (−5.548 to −2.080)22.53±11.600.028* (−0.219 to −2.327)
After24.83±11.4124.44±12.12

The mean score changes in the groups were analyzed by paired t-test..

Significant difference at *P<0.05..

SD, standard deviation; CI, confidence interval; BMI, body mass index..



Lipid profile and CRR data

Triglycerides, total CH, HDL-C, LDL-C, and CRR levels were not statistically significantly different between the FiberCreme and control groups before the intervention. However, triglycerides, CH, and CRR levels were statistically significantly decreased in the FiberCreme group after the intervention but not in the control group. Changes in the mean CRR were also significantly different between the FiberCreme and control groups (Table 4). Comparisons of changes in lipid profile and CRR in the FiberCreme and control groups are shown in Fig. 1.

Table 4 . Lipid profile and cardio-risk ratio of participants before and after intervention.

VariablePeriodFiberCreme group (n=27)Control group (n=6)MD between group95% CI
Triglycerides (mg/dL)Before (mean±SD)146.86±67.44156.48±67.36−9.61−26.04 to 47.15
After (mean±SD)131.32±50.14165.37±65.99−34.05−2.90 to 74.38
MD within groups−15.558.89
95% CI0.33 to 30.77−35.28 to 17.50
Total cholesterol (mg/dL)Before (mean±SD)214.68±22.61212.96±39.901.72−18.12 to 3.53
After (mean±SD)192.84±22.26199.65±53.66−6.80−13.41 to 26.14
MD within groups−21.84−13.32
95% CI13.40 to 30.28−3.90 to 30.53
LDL-C (mg/dL)Before (mean±SD)128.70±19.56138.70±33.56−10−6.36 to 26.94
After (mean±SD)128.94±21.73137.05±33.14−8.10−8.32 to 24.96
MD within groups0.24−1.65
95% CI−5.41 to 4.92−3.33 to 6.63
HDL-C (mg/dL)Before (mean±SD)51.70±12.2345.52±10.426.17−12.55 to −0.82
After (mean±SD)51.53±12.7643.18±9.118.35−14.96 to −2.72
MD within groups−0.16−2.34
95% CI−1.27 to 1.59−0.11 to 4.79
Cardio-risk ratio (cholesterol/HDL-C)Before (mean±SD)4.36±1.044.88±1.30−0.52−0.08 to 1.18
After (mean±SD)3.94±0.934.76±1.55−0.820.18 to 1.50
MD within groups−0.42−0.12
95% CI0.23 to 0.61−0.38 to 0.62

Data within and between groups compared with ANOVA test. Data are presented as mean and standard deviation with a 95% confidence interval (CI)..

Significant difference at P<0.05..

MD, mean deviation; CI, confidence interval; SD, standard deviation; LDL-C, low-density lipoprotein-cholesterol; HDL-C, high-density lipoprotein-cholesterol..



Figure 1. Comparison of changes before and after the intervention of lipid profile (total cholesterol, HDL-C, LDL-C, and triglycerides) and cardio-risk ratio (cholesterol/HDL-C) in FiberCreme and the control groups. *Significant difference at P<0.05. HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol. Data are presented as mean±standard error.

DISCUSSION

This study used FiberCreme, a nondairy creamer mainly made of fully hydrogenated coconut oil (trans-free oil) and oligosaccharides IMO. IMO improves metabolic disorders (e.g., hyperlipidemia and reduces cardiovascular disease risks). Animal and human studies have shown that IMO improves lipid profiles. Mice fed a diet with cellulose replaced with IMO had lower total plasma lipid, CH, and triglyceride levels than the control group (Chen et al., 2001). A study indicated that daily supplementation with 10 g of IMO for 4 weeks effectively reduced the total plasma and LDL-C levels (Yen et al., 2011). Wang et al. (2001) reported that giving 30 g of IMO to patients receiving hemodialysis for 4 weeks could significantly reduce total CH and triglyceride levels and increase HDL-C levels.

These results showed that the FiberCreme cookies could significantly reduce CH, triglyceride, and CRR scores, whereas the control cookies did not significantly change the lipid profiles and CRR scores. CH and HDL-C values can be used to predict the atherogenic coefficient (AC) and CRR, which are good predictors of future cardiovascular events. The formula for calculating the AC is (CH −HDL-C)/HDL-C, and the CRR is CH/HDL-C (Lafta, 2014). In a 17-year follow-up cohort study, Cox regression results showed that the CH/HDL-C ratio was significantly associated with the incidence of myocardial infarction in the Women’s Health in the Lund Area study. Therefore, the CH/HDL-C ratio and CRR are good predictors of high-risk myocardial infarction (Calling et al., 2019).

Furthermore, a prospective multicenter cohort study involving 630 patients who received peritoneal dialysis (PD) showed that a significantly higher CH/HDL-C ratio was related to an increased risk of all-cause mortality in incident patients with PD (Noh et al., 2021). In this study, the decrease in CH levels was 11.30% in the FiberCreme group, which was significantly higher than 6.67% in the control group. Also, based on the CH and HDL-C levels, the decrease in CRR score (−10.66%) in the FiberCreme group was much greater than (−2.61%) in the control group. As mentioned above, FiberCreme contains IMO, and the fiber content in FiberCreme cookies is higher than in the control cookies. IMO consists mainly of oligomers containing α(1-6) glycosidic bonds, which are resistant to enzymatic digestion in humans so that they can replace DF. The benefits of DF in decreasing blood CH were reported in South African Bantu in 1954 (Higginson and Pepler, 1954). Moreover, it is currently recommended as an adjuvant to statins to reduce the risk of cardiovascular diseases by lowering blood CH levels (Soliman, 2019).

DF can interfere with the emulsification, digestion, and absorption of lipids. It also increases bile acid deconjugation leading to increased excretion of fecal bile acids and lowers CH levels by stimulating the liver to synthesize bile from circulating CH. In mice fed a high-CH diet, cereal fiber reduced absorption and increased intestinal CH efflux and clearance. However, this happens by modulating PPARα, LXRα, and SREBP signaling pathways in CH metabolism to lower CH levels (Han et al., 2019). Caz et al. (2015) showed that the oyster mushroom’s (P. ostreatus) PDF induces mRNA expression of CH-related genes (e.g., DGAT1, FDFT1, SOAT1, and SREBF1) which can exhibit CH-lowering effects in Caco-2 cell cultures.

Additionally, indigestible fibers, including IMO, enter the colon and are fermented by colonic bacteria to produce SCFAs, especially acetic, propionic, and butyric acids, which alter the composition of the microbiota, contributing to the hypocholesterolemia effect of fibers (Soliman, 2019). IMO has been applied as a functional food ingredient that is partially enzymatically indigestible in humans but can stimulate beneficial microbiota in the GIT. According to Singh et al. (2017), IMO affects metabolism alteration in the mice induced by a high-fat diet by preventing dysbacteriosis of the gut. In rats, IMO stimulates and increases Lactobacillus diversity (Ketabi et al., 2011). Interactions between Lactobacillus spp. and metabolism in the host’s digestive tract can indirectly control metabolism (Drissi et al., 2017). IMO also stimulates the secretion of SCFAs in the intestinal tract and increases colonic microbiota in rats (Lan et al., 2020). Additionally, propionic acid inhibits CH synthesis in isolated hepatocytes. Supplementation of 10 g/d with a low fiber diet for 8 weeks improved the colonic microflora profile and increased propionic acid levels by 3.5-fold compared with placebo in elderly subjects suffering from constipation (Yen et al., 2011).

Besides reducing the levels of blood CH, the FiberCreme cookies also reduced the triglyceride levels (−11.84%), whereas the control cookies increased them (5.38%; Fig. 1). High blood plasma triglyceride levels are associated with insulin resistance. Weitkunat et al. (2017) reported that supplementation with 5% SCFAs in the diet decreased triglycerides in the liver and increased insulin sensitivity. Cronin et al. (2021) reported that propionic acid significantly reduces blood fatty acid levels, whose mechanism depends on G-protein-coupled receptor 43, causing a decrease in cellular lipolytic activity. Additionally, the dextrin resistance intervention (5 g/kg body weight) for 10 weeks decreased CH and lipid deposition in the liver and improved insulin resistance in rats induced by a high-fat and high-fructose diet (Hu et al., 2020). Therefore, FiberCreme cookies have several benefits in reducing the risk of cardiovascular diseases and improving insulin resistance.

The main limitation of this study was the difficulty of matching the indicators of BMI and age of the subject groups. Dropouts occurred during the recruitment, leading to the BMI and age distributions deviating from the initial estimates. Another limitation was using the Semi-quantitative Food Frequency Questionnaire assessment of dietary consumption based on the subject’s memory. A 1-month dietary recall may yield inaccuracy when determining the amount of fiber consumed.

Based on the results from this study, FiberCreme cookies containing 5.78% fiber could significantly improve blood lipid profile, reduce the risk of cardiovascular disease, and potentially improve insulin resistance by lowering triglyceride levels.

ACKNOWLEDGEMENTS

The authors thank Ms. Sevi Ratna Sari for helping in data retrieval during the research.

FUNDING

This work was funded by PT. Lautan Natural Krimerindo and supported by Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada (grant no. 014.PRJ/ LNK-FKKMK UGM/III/2021).

AUTHOR DISCLOSURE STATEMENT

The authors declare no conflicts of interest.

AUTHOR CONTRIBUTIONS

Concept and design: S, HM, YM, DLNF, AM. Analysis and interpretation: S, NY. Data collection: S, HM, NY. Writing the article: S, NY, YM. Critical revision of the article: S. Final approval of the article: all authors. Statistical analysis: S. Obtained funding: YM, S, DLNF, AM. Overall responsibility: S.

Fig 1.

Figure 1.Comparison of changes before and after the intervention of lipid profile (total cholesterol, HDL-C, LDL-C, and triglycerides) and cardio-risk ratio (cholesterol/HDL-C) in FiberCreme and the control groups. *Significant difference at P<0.05. HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol. Data are presented as mean±standard error.
Preventive Nutrition and Food Science 2022; 27: 165-171https://doi.org/10.3746/pnf.2022.27.2.165

Table 1 . Nutritional composition in 100 g of FiberCreme and coconut cookies

CompositionFiberCreme cookiesCoconut cookies
Energy (kcal)409.00393.80
Lipid (%)11.4511.98
Carbohydrate1) (%)71.8969.82
Protein (%)5.044.83
Water (%)4.737.31
Ash (%)1.111.37
Fiber (%)5.784.69

1)Carbohydrate content calculated by difference.


Table 2 . Characteristics of the participants in this study

CharacteristicFiberCreme groupControl groupP (95% confidence interval)
Age (yr)42.59±9.9946.61±9.860.147 (−9.500 to 1.455)
Weight (kg)70.59±14.1368.20±8.900.465 (−4.142 to 8.943)
Height (cm)157.07±11.67162.08±7.280.068 (−9.499 to 1.453)
Body mass index (kg/m2)28.44±4.0925.90±2.190.007* (0.725 to 4.362)
Waist/hip ratio0.91±0.090.92±0.070.833 (−0.048 to 0.039)
Body age (yr)55.96±8.4751.35±8.590.054 (0.090 to 9.323)
Body fat (%)35.74±6.1229.51±4.10<0.001* (3.345 to 9.114)
Visceral fat (%)11.44±4.139.39±4.190.077 (−0.235 to 4.354)
Systolic blood pressure (mm Hg)122.96±13.25125.00±8.600.512 (−8.223 to 4.149)
Diastolic blood pressure (mm Hg)80.00±12.0984.62±7.610.104 (−10.210 to 0.979)

Values are presented as mean±standard deviation or number (range).

Significant difference at *P<0.05.


Table 3 . Anthropometric and dietary intake cores before and after the intervention

Variables periodFiberCreme group (n=27)Control group (n=26)


Mean±SDP (95% CI)Mean±SDP (95% CI)
Anthropometric
Weight (kg)
Before70.60±14.130.340 (−0.247 to 0.692)67.81±9.4050.589 (−0.383 to 0.659)
After70.37±14.2767.67±9.647
BMI (kg/m2)
Before28.44±4.090.231 (−0.075 to 0.298)25.90±2.190.324 (−0.209 to 0.608)
After28.32±3.9425.70±2.61
Dietary intake
Energy (kcal/d)
Before2,192.30±982.70<0.001* (−450.144 to 208.395)1,981.41±703.90<0.001* (−418.230 to −215.015)
After2,521.56±1,022.862,298.03±772.24
Carbohydrate (g/d)
Before236.35±128.97<0.001* (−74.509 to 44.320)224.19±93.41<0.001* (−75.923 to −43.178)
After295.76±126.28283.74±103.88
Protein (g/d)
Before74.81±35.590.295 (−9.880 to 3.121)70.64±34.660.338 (−8.941 to 3.186)
After78.19±37.2873.51±33.78
Total fat (g/d)
Before114.69±56.960.091 (−15.054 to 1.189)101.57±38.160.090 (−14.127 to 1.083)
After121.63±61.06108.10±38.97
Dietary fiber (g/d)
Before21.02±11.71<0.001* (−5.548 to −2.080)22.53±11.600.028* (−0.219 to −2.327)
After24.83±11.4124.44±12.12

The mean score changes in the groups were analyzed by paired t-test.

Significant difference at *P<0.05.

SD, standard deviation; CI, confidence interval; BMI, body mass index.


Table 4 . Lipid profile and cardio-risk ratio of participants before and after intervention

VariablePeriodFiberCreme group (n=27)Control group (n=6)MD between group95% CI
Triglycerides (mg/dL)Before (mean±SD)146.86±67.44156.48±67.36−9.61−26.04 to 47.15
After (mean±SD)131.32±50.14165.37±65.99−34.05−2.90 to 74.38
MD within groups−15.558.89
95% CI0.33 to 30.77−35.28 to 17.50
Total cholesterol (mg/dL)Before (mean±SD)214.68±22.61212.96±39.901.72−18.12 to 3.53
After (mean±SD)192.84±22.26199.65±53.66−6.80−13.41 to 26.14
MD within groups−21.84−13.32
95% CI13.40 to 30.28−3.90 to 30.53
LDL-C (mg/dL)Before (mean±SD)128.70±19.56138.70±33.56−10−6.36 to 26.94
After (mean±SD)128.94±21.73137.05±33.14−8.10−8.32 to 24.96
MD within groups0.24−1.65
95% CI−5.41 to 4.92−3.33 to 6.63
HDL-C (mg/dL)Before (mean±SD)51.70±12.2345.52±10.426.17−12.55 to −0.82
After (mean±SD)51.53±12.7643.18±9.118.35−14.96 to −2.72
MD within groups−0.16−2.34
95% CI−1.27 to 1.59−0.11 to 4.79
Cardio-risk ratio (cholesterol/HDL-C)Before (mean±SD)4.36±1.044.88±1.30−0.52−0.08 to 1.18
After (mean±SD)3.94±0.934.76±1.55−0.820.18 to 1.50
MD within groups−0.42−0.12
95% CI0.23 to 0.61−0.38 to 0.62

Data within and between groups compared with ANOVA test. Data are presented as mean and standard deviation with a 95% confidence interval (CI).

Significant difference at P<0.05.

MD, mean deviation; CI, confidence interval; SD, standard deviation; LDL-C, low-density lipoprotein-cholesterol; HDL-C, high-density lipoprotein-cholesterol.


References

  1. Calling S, Johansson SE, Wolff M, Sundquist J, Sundquist K. The ratio of total cholesterol to high density lipoprotein cholesterol and myocardial infarction in Women's Health in the Lund Area (WHILA): A 17-year follow-up cohort study. BMC Cardiovasc Disord. 2019. 19:239. https://doi.org/10.1186/s12872-019-1228-7.
    Pubmed KoreaMed CrossRef
  2. Caz V, Gil-Ramírez A, Largo C, Tabernero M, Santamaría M, Martín-Hernández R, et al. Modulation of cholesterol-related gene expression by dietary fiber fractions from edible mushrooms. J Agric Food Chem. 2015. 63:7371-7380.
    Pubmed CrossRef
  3. Chen HL, Lu YH, Lin JJ, Ko LY. Effects of isomalto-oligosaccharides on bowel functions and indicators of nutritional status in constipated elderly men. J Am Coll Nutr. 2001. 20:44-49.
    Pubmed CrossRef
  4. Cronin P, Joyce SA, O'Toole PW, O'Connor EM. Dietary fibre modulates the gut microbiota. Nutrients. 2021. 13:1655. https://doi.org/10.3390/nu13051655.
    Pubmed KoreaMed CrossRef
  5. Drissi F, Raoult D, Merhej V. Metabolic role of lactobacilli in weight modification in humans and animals. Microb Pathog. 2017. 106:182-194.
    Pubmed CrossRef
  6. Han S, Zhang W, Zhang R, Jiao J, Fu C, Tong X, et al. Cereal fiber improves blood cholesterol profiles and modulates intestinal cholesterol metabolism in C57BL/6 mice fed a high-fat, high-cholesterol diet. Food Nutr Res. 2019. 63:1591. https://doi.org/10.29219/fnr.v63.1591.
    Pubmed KoreaMed CrossRef
  7. Higginson J, Pepler WJ. Fat intake, serum cholesterol concentration, and atherosclerosis in the South African Bantu. II. Atherosclerosis and coronary artery disease. J Clin Invest. 1954. 33:1366-1371.
    Pubmed KoreaMed CrossRef
  8. Home & Garden Information Center. Fiber & food labels. 2021 [cited 2021 Nov 12]. Available from: https://hgic.clemson.edu/factsheet/fiber-food-labels.
  9. Hu F, Niu Y, Xu X, Hu Q, Su Q, Zhang H. Resistant dextrin improves high-fat-high-fructose diet induced insulin resistance. Nutr Metab. 2020. 17:36. https://doi.org/10.1186/s12986-020-00450-2.
    Pubmed KoreaMed CrossRef
  10. Kadam P, Bhalerao S. Sample size calculation. Int J Ayurveda Res. 2010. 1:55-57.
    Pubmed KoreaMed CrossRef
  11. Ketabi A, Dieleman LA, Gänzle MG. Influence of isomalto-oligosaccharides on intestinal microbiota in rats. J Appl Microbiol. 2011. 110:1297-1306.
    Pubmed CrossRef
  12. Lafta MA. A comparative study for some atherogenic indices in sera of myocardial infarction, ischemic heart disease patients and control. IISTE. 2014. 4:96-102.
  13. Lan J, Wang K, Chen G, Cao G, Yang C. Effects of inulin and isomalto-oligosaccharide on diphenoxylate-induced constipation, gastrointestinal motility-related hormones, short-chain fatty acids, and the intestinal flora in rats. Food Funct. 2020. 11:9216-9225.
    Pubmed CrossRef
  14. Marsono Y, Putri RG, Arianti ED. The effects of replacement of dietary fiber with FiberCremeTM on lowering serum glucose and improvement of lipid profile in hypercholesterolemia-diabetic rats and its mechanism. Pak J Nutr. 2020. 19:204-211.
    CrossRef
  15. Mohamed RE, Gadour MO, Adam I. The lowering effect of Gum Arabic on hyperlipidemia in Sudanese patients. Front Physiol. 2015. 6:160. https://doi.org/10.3389/fphys.2015.00160.
    Pubmed KoreaMed CrossRef
  16. Noh HW, Jeon Y, Kim JH, Lee GY, Jeon SJ, Kim KY, et al. Higher serum total cholesterol to high-density lipoprotein cholesterol ratio is associated with increased mortality among incident peritoneal dialysis patients. Nutrients. 2021. 14:144. https://doi.org/10.3390/nu14010144.
    Pubmed KoreaMed CrossRef
  17. Singh DP, Singh J, Boparai RK, Zhu J, Mantri S, Khare P, et al. Isomalto-oligosaccharides, a prebiotic, functionally augment green tea effects against high fat diet-induced metabolic alterations via preventing gut dysbacteriosis in mice. Pharmacol Res. 2017. 123:103-113.
    Pubmed CrossRef
  18. Soliman GA. Dietary fiber, atherosclerosis, and cardiovascular disease. Nutrients. 2019. 11:1155. https://doi.org/10.3390/nu11051155.
    Pubmed KoreaMed CrossRef
  19. Wang HF, Lim PS, Kao MD, Chan EC, Lin LC, Wang NP. Use of isomalto-oligosaccharide in the treatment of lipid profiles and constipation in hemodialysis patients. J Ren Nutr. 2001. 11:73-79.
    Pubmed CrossRef
  20. Weitkunat K, Stuhlmann C, Postel A, Rumberger S, Fankhänel M, Woting A, et al. Short-chain fatty acids and inulin, but not guar gum, prevent diet-induced obesity and insulin resistance through differential mechanisms in mice. Sci Rep. 2017. 7:6109. https://doi.org/10.1038/s41598-017-06447-x.
    Pubmed KoreaMed CrossRef
  21. Yen CH, Tseng YH, Kuo YW, Lee MC, Chen HL. Long-term supplementation of isomalto-oligosaccharides improved colonic microflora profile, bowel function, and blood cholesterol levels in constipated elderly people-A placebo-controlled, diet-controlled trial. Nutrition. 2011. 27:445-450.
    Pubmed CrossRef