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Article

Fatty Acids and Eicosanoids Change during High-Fiber Diet in NAFLD Patients—Randomized Control Trials (RCT)

by
Dominika Maciejewska-Markiewicz
1,
Arleta Drozd
1,*,
Joanna Palma
2,*,
Karina Ryterska
1,
Viktoria Hawryłkowicz
1,
Patrycja Załęska
1,
Ewa Wunsh
3,
Katarzyna Kozłowska-Petriczko
3 and
Ewa Stachowska
1
1
Department of Human Nutrition and Metabolomics, Pomeranian Medical University in Szczecin, Broniewskiego 24, 71-460 Szczecin, Poland
2
Department of Biochemical Science, Pomeranian Medical University in Szczecin, Broniewskiego 24, 71-460 Szczecin, Poland
3
Translational Medicine Group, Pomeranian Medical University in Szczecin, 70-204 Szczecin, Poland
*
Authors to whom correspondence should be addressed.
Nutrients 2022, 14(20), 4310; https://doi.org/10.3390/nu14204310
Submission received: 19 September 2022 / Revised: 8 October 2022 / Accepted: 12 October 2022 / Published: 15 October 2022
(This article belongs to the Special Issue Effects of Macronutrient Intake on Liver-Related Diseases)

Abstract

:
Background: Non-alcoholic fatty liver disease (NAFLD) is a wide spectrum condition characterized by excessive liver fat accumulation in people who do not abuse alcohol. There is no effective medical treatment for NAFLD; therefore, most important recommendations to reduce liver steatosis are diet and lifestyle, including proper physical activity. The aim of our study was to analyze the fatty acids and eicosanoids changes in the serum of patients who consumed high-fiber rolls for 8 weeks. Materials and Methods: The group of 28 Caucasian participants was randomly divided into two groups, those who received 24 g of fiber/day—from 2 buns of 12 g each (n = 14), and those who received 12 g of fiber/day—from 2 buns of 6 g (n = 14). At the beginning and on the last visit of the 8-week intervention, all patients underwent NAFLD evaluation, biochemical parameter measurements, and fatty acids and eicosanoids evaluation. Results: Patients who received 12 g of fiber had significantly reduced liver steatosis and body mass index. In the group who received 24 g of fiber/day, we observed a trend to liver steatosis reduction (p = 0.07) and significant decrease in aspartate aminotransferase (p = 0.03) and total cholesterol (p = 0.03). All changes in fatty acid and eicosanoids profile were similar. Fatty acids analysis revealed that extra fiber intake was associated with a significant increase in monounsaturated fatty acids and decrease in saturated fatty acids. Moreover, both groups showed increased concentration of gamma linoleic acid and docosahexaenoic acid. We also observed reduction in prostaglandin E2. Conclusions: Our study revealed that a high amount of fiber in the diet is associated with a reduction in fatty liver, although this effect was more pronounced in patients in the lower fiber group. However, regardless of the amount of fiber consumed, we observed significant changes in the profile of FAs, which may reflect the positive changes in the lipids liver metabolism. Regardless of the amount of fiber consumed, patients decreased the amount of PGE2, which may indicate the lack of disease progression associated with the development of inflammation.

1. Introduction

Non-alcoholic fatty liver disease (NAFLD) is a wide spectrum condition characterized by excessive liver fat accumulation in people who do not abuse alcohol [1]. NAFLD can range from simply fat accumulation in the liver (more than 5% of liver weight) by inflammation to fibrosis and cirrhosis, which are the causes of liver failure [2]. NAFLD is also a part of metabolic syndrome, which increases the risk of other metabolic diseases. The prevalence of the disease is estimated at 30% among US adults and is an emerging health problem worldwide [3]. The most effective treatment of NAFLD is lifestyle changes, including proper physical activity and diet reduction [4].
Recent studies indicate that one of the most effective treatments for NAFLD is weight reduction achieved by caloric restriction [5]. Fiber consumption reduces appetite and the frequency of eating by the indirect regulation of orexigenic hormone—ghrelin. Proper amount of fiber intake, along with a low-energy diet, is linked with weight loss and NAFLD regression [6]. The results of a systematic review meta-analysis focused on the relationship between prebiotic supplementation and anthropometric and biochemical parameters in NAFLD patients showed that fiber supplements can improve anthropometric, metabolic, and liver-related biomarkers such as body mass index (BMI), insulin, homeostasis model assessment for insulin resistance (HOMA-IR), aspartate aminotransferase (AST), and alanine aminotransferase (ALT) [7]. Regression of NAFLD reflects in metabolic pathways, which is associated with fatty acids and their derivatives changes [8]. Our research team discovered that reduction in liver steatosis is connected with a significant increase in eicosapentaenoic acid (EPA), docosapentaenoic acid (DPA), docosahexaenoic acid (DHA) and a decrease in palmitoleic acid [9]. Moreover, it seems that fatty acids profile in blood is a good predictor of liver changes, and the potential markers of liver steatosis are oleic acid, vaccenic acid, EPA, DHA, and DPA [10]. The fatty acid derivatives (eicosanoids) responsible for the initiation/reduction of inflammation are also associated with various NAFLD stages [11]. The most promising markers of steatosis progression are high-inflammatory cytokines, 9-hydroxyloctadecadienoic acids (9-HODE), and 13-hydroxyloctadecadienoic acids (13-HODE) [12]. The aim of our study was to analyze the fatty acids and eicosanoids profiles in the serum of patients who consumed high-fiber rolls for 8 weeks.

2. Materials and Methods

2.1. Design of the Study

The study (ClinicalTrials.gov Identifier: NCT04520724) was conducted in 2019, between July and November. All participants were enrolled to the project from the Sonomed Medical Centre in Szczecin, Poland. Inclusion criteria: FibroScan® (CAP > 234 dB/m), age > 18 years. Exclusion criteria: infection with HBV (Hepatitis B Virus), HCV (Hepatitis C Virus), HAV (Hepatitis A Virus), body mass index (BMI) > 35 kg/m2, changes in physical activity during the study, alcohol consumption (>30 g in men and 20 g in women per day), autoimmune disease, drug use, probiotic supplementation, NSAIDs use (14 days before and during the study), common infection (e.g., cold). Patients underwent 3 visits, first at the baseline, second after 30 days, and third after 60 days. At the baseline and in the last control, FibroScan® was performed. A group of 28 Caucasian participants were included, and 58% were men. Patients were randomly divided into two groups: those who received 24 g of fiber—from 2 buns per 12 g (n = 14), and those who received 12 g of fiber—from 2 buns per 6 g (n = 14). In all visits, biochemical parameters and blood for serum were collected. All biochemical procedures were performed at the laboratory in the Independent Public Regional Hospital in Szczecin. The study protocol was approved by the ethics committee of the Pomeranian Medical University (Szczecin, Poland, KB-0012/131/19) and conformed to the ethical guidelines of the 1975 Declaration of Helsinki. The volunteers provided written informed consent before the study. There was no difference in age, gender distribution, or biochemical parameters at baseline between groups.

2.2. Dietary Guidelines for Patients

All patients underwent a 30-min conversation with a licensed nutritionist about the principles of the Mediterranean diet, according to the Mediterranean Diet Foundation. Moreover, all participants were instructed to eat two high-fiber buns (6 g or 12 g per buns) each day during the study. No specific changes in diet (excluded the high-fiber buns) and physical activity were performed during the study.

2.3. Fatty Acids (FAs) Analysis

A total 0.5 mL of serum was added to 3 mL of Folch mixture [13] (2:1; v:v; chloroform (Merck KGaA, cat no. 34854): methanol (Merck KGaA, cat no. 1.06018)), 100 μL of Butylated hydroxytoluene (Merck KGaA, cat no. B1378), and 100 μL of internal standard (C21:0 (Merck KGaA, cat no. 51535), 2 mg/mL). Then, the solution was vortexed for 20 min to extract the lipid phase. Next, samples were centrifuged at 15,000 rpm for 15 min. Supernatant was saponified with 1 mL of 2 M KOH (Merck KGaA, cat no. H1758) methanol solution at 70 °C for 20 min and then methylated with 2 mL of a 14% solution of boron trifluoride in methanol (Merck KGaA, cat no. B1252) under the same conditions. A total 2 mL n-hexane (Merck KGaA, cat no. 270504) and 10 mL of saturated NaCl (Merck KGaA, cat no. S3014) solution were added. For gas chromatography analysis (GC), 1 ml of hexane phase was collected. GC was performed using Agilent Technologies 7890A GC System (Agilent (Technologies, Santa Clara, CA, USA) with a SUPELCOWAX 10 Capillary GC Column (15 m × 0.10 mm, 0.10 μm; Supelco, cat no. 24343). The temperature conditions were as follows: initiating temperature 40 °C for 0.5 min; then, increased by 25 °C/min up to 195 °C for 0 min, by 3 °C/min to 205 °C for 0 min, and by 8 °C/min to 250 °C for 0.5 min (total analysis time was 16.158 min). Hydrogen was the carrier gas with gas flow 1 mL/min. FAs were identified by comparing their retention times with standards (Food Industry FAME Mix (cat. no 35077) (Restek)) [14].

2.4. Eicosanoids Analysis

Eicosanoids were extracted from the serum using solid-phase extraction RP-18 SPE columns (Agilent Technologies, Wokingham, UK, cat. no 60108-304). A total 0.5 mL of plasma was precipitated with 1 mL of acetonitrile (Merck KGaA, Darmstadt, Germany, cat no. 20060.320). Then, 50 µL of internal standard (Prostaglandin B2, 1 µg/mL (Cayman, cat no. 11210)) was added and samples were incubated for 15 min at −20 °C. Samples were centrifuged at 10,000 rpm for 10 min and the supernatant was collected. An amount of 4.5 mL of 1 mM HCl was added and the pH was adjusted to 3 by adding 1 M HCl. The SPE columns were activated with 3 mL 100% acetonitrile and 3 mL 20% acetonitrile in water. The samples were loaded and double washed with 3 mL 20% acetonitrile in water. Eicosanoids were eluted with 1.5 mL of methanol and ethyl acetate (1:1; v:v), dried under a vacuum, and dissolved in 100 µL of 60% methanol in water with 0.1% acetic acids. Eicosanoids were analyzed using high-performance liquid chromatography (HPLC). The HPLC separations were performed using an Agilent Technologies 1260 liquid chromatograph (Technologies, Santa Clara, CA, USA) with diode array detector (DAD, model G1315CDAD VL+). The separation column was Thermo Scientific Hypersil BDS C18 column (100 × 4.6 mm 2.4 µm, cat no. 28102-154630) with 20 °C of separation temperature. The HPLC condition were as follows: the mobile phase was composed of a mixture of solvent A (methanol: water: acetic acid; 50:50:0.1; v:v:v) and solvent B (methanol: water: acetic acid; 100:0:0.1; v:v:v). Solvent B in the mobile phase was 30% at 0 to 2 min of separation, increased linearly to 80% at 33 min, was 98% between 33.1 and 37.5 min, and was 30% between 40.3 and 45 min, with a flow rate of 1.0 mL/min. The injection volume was 60 µL. The DAD detector monitored peaks by adsorption at 235 nm, 280 nm, and 210 nm [14].

2.5. Statistical Analysis

The statistical analysis was performed using the “R 4.0.3” software. The normality of continuous variables distribution by means of Shapiro–Wilk test was evaluated and non-parametric tests were used. Data are presented as medians and interquartile ranges (IQR). Mann–Whitney U test was used to analyze the differences between the groups. In order to estimate the correlation between outcomes of interest, Spearman’s correlation test was used. The values of p < 0.05 were considered statistically significant.

3. Results

3.1. NAFLD and Stiffness Status Evaluation

Patients who received 12 g of fiber showed significantly reduced liver steatosis in FibroScan measurements (CAP 324 dB/m (70 dB/m) vs. CAP 269 dB/m (66.25 dB/m), p = 0.02); there was a trend to reduce stiffness status in the liver (VCTE 5.7 kPa (2.17 kPa) vs. VCTE 5 kPa (1.35 kPa, p = 0.06). In the group who received 24 g of fiber, we noticed a trend to liver steatosis reduction (CAP 295 dB/m (93 dB/m) vs. CAP 274 dB/m (66 dB/m), p = 0.07); the stiffness status did not have a significant change (VCTE 6 kPa (2.4 kPa) vs. VCTE 6 kPa (1.5 kPa), p = 0.7).

3.2. Biochemical Parameters

Patients who received 12 g of fiber significantly reduced their body weight. In the group where participants received 24 g of fiber, we observed significant reduction of the total cholesterol of total cholesterol and AST. We also noticed a decreasing trend in ALT, LDL, and fasting insulin and an increasing trend in HDL. The results are presented in Table 1.

3.3. Fatty Acids and Eicosanoids Analysis

Eight-week high-fiber buns intervention revealed changes in fatty acids and their derivatives in both groups. We can notice a significant reduction in saturated fatty acids and an increase in monounsaturated and polyunsaturated fatty acids. Moreover, the group that received 24 g of extra fiber had increased levels of DHA. Results of fatty acids analysis are presented in Table 2.

4. Discussion

Dietary fiber is one of most important components of a healthy diet [15]. Dorosti et al. conducted a randomized, open-label control trial on 112 NAFLD patients, who increased fiber intake in their diet. The results showed that 12 weeks of increased consumption of whole-grain products promoted weight reduction and improved glucose regulation in overweight adults compared with placebo. At the same time, the degree of steatosis had a significant decrease in the intervention group (p < 0.001), as well as serum concentration of ALT (p < 0.001), AST (p < 0.001), γ-glutamyltransferase (GGTP, p = 0.009), diastolic blood pressure (p = 0.008), and systolic blood pressure (p = 0.004) [16]. Javadi et al. showed that prebiotic supplementation (10 g/day for 3 months) in NAFLD patients can significantly reduce the concentration of LDL (p = 0.015) and body weight (p < 0.001) [17].
Our intervention was based on the additional supply of 12 g and 24 g of fiber. The results of biochemical studies showed that patients who received more fiber (24 g) reduced their total cholesterol and AST concentration. We also noticed a trend to increase HDL, and to decrease LDL, ALT, fasting insulin, and degree of steatosis. Interestingly, the group with less fiber supplementation showed significantly reduced body weight and degree of liver steatosis but we did not see any significant changes in biochemical parameters. However, we can notice a trend to increased fasting insulin in these patients (p = 0.09). A number of studies present hypotheses where fiber fermentation products, mainly short-chain fatty acids (SCFAs), contribute additional calorie intake through fermentation, and this can explain weight gain in some individuals [18]. It seems that we can notice this dependence in our patients. SCFAs have a huge impact on glucose and lipid metabolism; therefore, biochemical changes can be more visible in the group of higher fiber intake.
Data from animal studies showed that dietary fiber normalized the expressions of sterol regulatory element-binding protein 1 (SREBP1) [19]. Synthesis of fatty acid in the liver, as well as triglyceride, is regulated by transcription factor SREBP-1c, which increases formation of palmitic acid and its metabolites of elongation and desaturation—stearic acid, palmitoleic acid, and oleic acid. These changes are stimulated by insulin and intracellular cholesterol concentration, which accelerates liver fat accumulation [20,21]. Dietary fiber is fermented by intestinal microbiota, which results in the production of SCFAs. SCFA can regulate many processes involved in glucose and lipid metabolism and reduce endogenous synthesis of cholesterol and fat storage [22]. Recent studies revealed that oral administration of SCFAs tends to downregulate expression of SREBP-1C in liver and fatty acid synthase (FAS), enzymes that induce de novo lipogenesis [22].
Our study showed that increased fiber intake helps to reduce the concentration of main saturated fatty acids, such as palmitic acid and stearic acid, and increase the concentration of monounsaturated fatty acids, such as palmitoleic acid and oleic acid (trend to reduction, p = 0.07). These changes are noticeable in both groups. We can assume that increased amount of fiber in the diet reduced de novo lipogenesis, especially because total cholesterol, one the main factors inducing FAS activity, decreased in both groups. In NAFLD patients, adipose tissue delivers approx. 60% FAs for TG synthesized in the liver while de novo lipogenesis contributes only 26% [23]. Enteral infusion of SCFA (acetate and propionate) causes a 40% reduction in serum FAs [24]. The contribution of gut-microbiota-derived acetate production available for whole organism is estimated to be 44% [25]. Increasing fiber fermentation and SCFA production may be a novel strategy to induce regulation of lipid metabolism in liver diseases.
Eicosanoids, especially series 2 of prostaglandins (PGs), play an important role in the development of metabolic diseases and NAFLD. There are three series of homologues PGs, which are biosynthesized from different polyunsaturated fatty acids (PUFA) by cyclooxygenase (COX) [26]. The 2 series PGs are produced from DGLA, an AA derived from membrane phospholipids. PGs have a varied effect on hepatic insulin signaling, dependent on which series of PGs are produced and where they are produced. Metabolites generated in parenchymal hepatocytes or Kupffer cells play a negative role in insulin metabolism [27]. Animal research has revealed that COX-2 inhibitors intake can decrease PGE metabolites in obese rats. These changes were associated with insulin sensitivity improvement and decreasing hepatic glucose production [28].
PGs also participate in lipid metabolism dysregulation and in hepatic lipid storage [29]. PGE2 acts with insulin in the pathogenesis and progression of hepatic steatosis. High PGE2 concentration in the serum is also associated with fibrosis progression in liver steatosis [30]. The 2 series of PG decreases the secretion of very-low-density lipoprotein (VLDL) and promotes steatosis in hepatocytes. Reduction of VLDL secretion is associated with decreased TG transportation and output [31]. During NAFLD development, increased COX-2 activity and high PGE2 concentration results in lipid storage and peroxidation enhancement in mice [32]. However, some scientific evidence derived from cell culture research suggests that PGE2 may play a protective role for liver cells. Our research revealed that, along with the reduction of steatosis, the concentration of PGE also decreased. Moreover, in both groups, we noticed increased concentration of GLA, the precursor of PGs. This observation may indicate the reduction of COX-2 activity in NAFLD patients on a high-fiber diet. The role of fiber and SCFA in COX activity is still unknown.

5. Conclusions

NAFLD is associated with metabolic changes connected with lipid metabolism and glucose homeostasis. There are increasing interests about the role of dietary fiber in supporting the treatment of the disease. Our study revealed that a high amount of fiber in the diet is associated with a reduction in fatty liver, although this effect was more pronounced in patients in the lower fiber group, who had reduced body weight. This observation can be caused by higher calorie intake from extra fiber; therefore, calorie restriction and weight loss seems to be a primary goal for NAFLD patients. However, regardless of the amount of fiber consumed, we observed significant changes in the profile of FAs, which may reflect the positive changes in lipid liver metabolism. Regardless of the amount of fiber consumption, patients decreased the amount of PGE2, which may indicate the lack of disease progression associated with the development of inflammation.
Figure 1 summarizes results of the study and the proposed hypothesis.

Author Contributions

Conceptualization, E.S. and D.M.-M.; Methodology, D.M.-M., K.K.-P., E.W., J.P. and A.D.; Formal Analysis, J.P., A.D.; Investigation, J.P., V.H. and P.Z.; Data Curation, K.R.; Writing—Original Draft Preparation, D.M.-M.; Writing—Review and Editing, D.M.-M. and E.S.; Supervision, E.S. All authors have read and agreed to the published version of the manuscript.

Funding

Internal funding of Pomeranian Medical University in Szczecin (no external funding).

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the ethics committee of the Pomeranian Medical University (Szczecin, Poland, KB-0012/131/19).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

NAFLD—Non-alcoholic fatty liver disease; BMI—body mass index; HOMA-IR insulin resistance; AST—aspartate aminotransferase; ALT—alanine aminotransferase; EPA—eicosapentaenoic acid; DPA—docosapentaenoic acid; DHA—docosahexaenoic acid; EPA—eicosapentaenoic acid; DPA—docosapentaenoic acid; GLA—gamma linolenic acid; GGT—γ-glutamyltransferase; HDL—high-density lipoprotein; LDL—low-density lipoprotein; SCFA—short-chain fatty acid; NSAIDs—Non-steroidal anti-inflammatory drugs; PGE2—Prostaglandin E2; LTX A4—Lipoksyn A4; DiHDHA—dihydroxydocosahexaenoic acid; 18 HEPE—18-hydroxyeicosapentaenoic acid; 13 HODE—13-hydroxyoctadecadienoic acids; 9 HODE—9-hydroxyoctadecadienoic acids; 15 HETE—15-hydroxyeicosatetraenoic acid; 17 HDHA—17-hydroxydocosahexaenoic acid; 12 HETE—12-hydroxyeicosatetraenoic acid; 5 HETE—5-hydroxyeicosatetraenoic acid; 5 oxo ETE—5-oxoeicosatetraenoic acid.

References

  1. Cholongitas, E.; Pavlopoulou, I.; Papatheodoridi, M.; Markakis, G.E.; Bouras, E.; Haidich, A.-B.; Papatheodoridis, G. Epidemiology of Nonalcoholic Fatty Liver Disease in Europe: A Systematic Review and Meta-Analysis. Ann. Gastroenterol. 2021, 34, 404–414. [Google Scholar] [CrossRef] [PubMed]
  2. Bellentani, S. The Epidemiology of Non-Alcoholic Fatty Liver Disease. Liver Int. 2017, 37 (Suppl. 1), 81–84. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Le, M.H.; Devaki, P.; Ha, N.B.; Jun, D.W.; Te, H.S.; Cheung, R.C.; Nguyen, M.H. Prevalence of Non-Alcoholic Fatty Liver Disease and Risk Factors for Advanced Fibrosis and Mortality in the United States. PLoS ONE 2017, 12, e0173499. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Zhao, H.; Yang, A.; Mao, L.; Quan, Y.; Cui, J.; Sun, Y. Association Between Dietary Fiber Intake and Non-Alcoholic Fatty Liver Disease in Adults. Front. Nutr. 2020, 7, 593735. [Google Scholar] [CrossRef] [PubMed]
  5. Hannah, W.N.; Harrison, S.A. Effect of Weight Loss, Diet, Exercise, and Bariatric Surgery on Nonalcoholic Fatty Liver Disease. Clin. Liver Dis. 2016, 20, 339–350. [Google Scholar] [CrossRef]
  6. St-Pierre, D.H.; Rabasa-Lhoret, R.; Lavoie, M.-E.; Karelis, A.D.; Strychar, I.; Doucet, E.; Coderre, L. Fiber Intake Predicts Ghrelin Levels in Overweight and Obese Postmenopausal Women. Eur. J. Endocrinol. 2009, 161, 65–72. [Google Scholar] [CrossRef] [Green Version]
  7. Stachowska, E.; Portincasa, P.; Jamioł-Milc, D.; Maciejewska-Markiewicz, D.; Skonieczna-Żydecka, K. The Relationship between Prebiotic Supplementation and Anthropometric and Biochemical Parameters in Patients with NAFLD—A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Nutrients 2020, 12, 3460. [Google Scholar] [CrossRef]
  8. Loomba, R.; Quehenberger, O.; Armando, A.; Dennis, E.A. Polyunsaturated Fatty Acid Metabolites as Novel Lipidomic Biomarkers for Noninvasive Diagnosis of Nonalcoholic Steatohepatitis. J. Lipid Res. 2015, 56, 185–192. [Google Scholar] [CrossRef] [Green Version]
  9. Maciejewska, D.; Drozd, A.; Ossowski, P.; Ryterska, K.; Jamioł-Milc, D.; Banaszczak, M.; Raszeja-Wyszomirska, J.; Kaczorowska, M.; Sabinicz, A.; Stachowska, E. Fatty Acid Changes Help to Better Understand Regression of Nonalcoholic Fatty Liver Disease. World J. Gastroenterol. 2015, 21, 301–310. [Google Scholar] [CrossRef]
  10. Maciejewska, D.; Palma, J.; Dec, K.; Skonieczna-Żydecka, K.; Gutowska, I.; Szczuko, M.; Jakubczyk, K.; Stachowska, E. Is the Fatty Acids Profile in Blood a Good Predictor of Liver Changes? Correlation of Fatty Acids Profile with Fatty Acids Content in the Liver. Diagnostics 2019, 9, 197. [Google Scholar] [CrossRef]
  11. Caussy, C.; Chuang, J.-C.; Billin, A.; Hu, T.; Wang, Y.; Subramanian, G.M.; Djedjos, C.S.; Myers, R.P.; Dennis, E.A.; Loomba, R. Plasma Eicosanoids as Noninvasive Biomarkers of Liver Fibrosis in Patients with Nonalcoholic Steatohepatitis. Ther. Adv. Gastroenterol. 2020, 13, 1756284820923904. [Google Scholar] [CrossRef] [PubMed]
  12. Maciejewska, D.; Drozd, A.; Skonieczna-Żydecka, K.; Skórka-Majewicz, M.; Dec, K.; Jakubczyk, K.; Pilutin, A.; Stachowska, E. Eicosanoids in Nonalcoholic Fatty Liver Disease (NAFLD) Progression. Do Serum Eicosanoids Profile Correspond with Liver Eicosanoids Content during NAFLD Development and Progression? Molecules 2020, 25, 2026. [Google Scholar] [CrossRef] [PubMed]
  13. Saini, R.K.; Prasad, P.; Shang, X.; Keum, Y.-S. Advances in Lipid Extraction Methods—A Review. Int. J. Mol. Sci. 2021, 22, 13643. [Google Scholar] [CrossRef] [PubMed]
  14. Szczuko, M.; Kotlęga, D.; Palma, J.; Zembroń-Łacny, A.; Tylutka, A.; Gołąb-Janowska, M.; Drozd, A. Lipoxins, RevD1 and 9, 13 HODE as the Most Important Derivatives after an Early Incident of Ischemic Stroke. Sci. Rep. 2020, 10, 12849. [Google Scholar] [CrossRef]
  15. Kaczmarczyk, M.M.; Miller, M.J.; Freund, G.G. The Health Benefits of Dietary Fiber: Beyond the Usual Suspects of Type 2 Diabetes Mellitus, Cardiovascular Disease and Colon Cancer. Metabolism 2012, 61, 1058–1066. [Google Scholar] [CrossRef] [Green Version]
  16. Dorosti, M.; Jafary Heidarloo, A.; Bakhshimoghaddam, F.; Alizadeh, M. Whole-Grain Consumption and Its Effects on Hepatic Steatosis and Liver Enzymes in Patients with Non-Alcoholic Fatty Liver Disease: A Randomised Controlled Clinical Trial. Br. J. Nutr. 2020, 123, 328–336. [Google Scholar] [CrossRef]
  17. Javadi, L.; Ghavami, M.; Khoshbaten, M.; Safaiyan, A.; Barzegari, A.; Gargari, B.P. The Potential Role of Probiotics or/and Prebiotic on Serum Lipid Profile and Insulin Resistance in Alcoholic Fatty Liver Disease: A Double Blind Randomized Clinical Trial. Crescent J. Med. Biol. Sci. 2017, 4, 8. [Google Scholar]
  18. Morrison, D.J.; Preston, T. Formation of Short Chain Fatty Acids by the Gut Microbiota and Their Impact on Human Metabolism. Gut Microbes 2016, 7, 189–200. [Google Scholar] [CrossRef] [Green Version]
  19. Han, S.; Jiao, J.; Zhang, W.; Xu, J.; Wan, Z.; Zhang, W.; Gao, X.; Qin, L. Dietary Fiber Prevents Obesity-Related Liver Lipotoxicity by Modulating Sterol-Regulatory Element Binding Protein Pathway in C57BL/6J Mice Fed a High-Fat/Cholesterol Diet. Sci. Rep. 2015, 5, 15256. [Google Scholar] [CrossRef] [Green Version]
  20. DeBose-Boyd, R.A.; Ye, J. SREBPs in Lipid Metabolism, Insulin Signaling, and Beyond. Trends Biochem. Sci. 2018, 43, 358–368. [Google Scholar] [CrossRef]
  21. Yoon, M. The Role of PPARalpha in Lipid Metabolism and Obesity: Focusing on the Effects of Estrogen on PPARalpha Actions. Pharmacol. Res. 2009, 60, 151–159. [Google Scholar] [CrossRef] [PubMed]
  22. He, J.; Zhang, P.; Shen, L.; Niu, L.; Tan, Y.; Chen, L.; Zhao, Y.; Bai, L.; Hao, X.; Li, X.; et al. Short-Chain Fatty Acids and Their Association with Signalling Pathways in Inflammation, Glucose and Lipid Metabolism. Int. J. Mol. Sci. 2020, 21, 6356. [Google Scholar] [CrossRef] [PubMed]
  23. Donnelly, K.L.; Smith, C.I.; Schwarzenberg, S.J.; Jessurun, J.; Boldt, M.D.; Parks, E.J. Sources of Fatty Acids Stored in Liver and Secreted via Lipoproteins in Patients with Nonalcoholic Fatty Liver Disease. J. Clin. Investig. 2005, 115, 1343–1351. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Wolever, T.M.; Brighenti, F.; Royall, D.; Jenkins, A.L.; Jenkins, D.J. Effect of Rectal Infusion of Short Chain Fatty Acids in Human Subjects. Am. J. Gastroenterol. 1989, 84, 1027–1033. [Google Scholar] [PubMed]
  25. Turnbaugh, P.J.; Ley, R.E.; Mahowald, M.A.; Magrini, V.; Mardis, E.R.; Gordon, J.I. An Obesity-Associated Gut Microbiome with Increased Capacity for Energy Harvest. Nature 2006, 444, 1027–1031. [Google Scholar] [CrossRef] [PubMed]
  26. Norambuena, F.; Mackenzie, S.; Bell, J.G.; Callol, A.; Estévez, A.; Duncan, N. Prostaglandin (F and E, 2- and 3-Series) Production and Cyclooxygenase (COX-2) Gene Expression of Wild and Cultured Broodstock of Senegalese Sole (Solea Senegalensis). Gen. Comp. Endocrinol. 2012, 177, 256–262. [Google Scholar] [CrossRef]
  27. Wang, W.; Zhong, X.; Guo, J. Role of 2-Series Prostaglandins in the Pathogenesis of Type 2 Diabetes Mellitus and Non-Alcoholic Fatty Liver Disease (Review). Int. J. Mol. Med. 2021, 47, 114. [Google Scholar] [CrossRef]
  28. Hsieh, P.-S.; Jin, J.-S.; Chiang, C.-F.; Chan, P.-C.; Chen, C.-H.; Shih, K.-C. COX-2-Mediated Inflammation in Fat Is Crucial for Obesity-Linked Insulin Resistance and Fatty Liver. Obesity (Silver Spring) 2009, 17, 1150–1157. [Google Scholar] [CrossRef]
  29. Henkel, J.; Frede, K.; Schanze, N.; Vogel, H.; Schürmann, A.; Spruss, A.; Bergheim, I.; Püschel, G.P. Stimulation of Fat Accumulation in Hepatocytes by PGE2-Dependent Repression of Hepatic Lipolysis, β-Oxidation and VLDL-Synthesis. Lab. Invest. 2012, 92, 1597–1606. [Google Scholar] [CrossRef] [Green Version]
  30. Brea, R.; Motiño, O.; Francés, D.; García-Monzón, C.; Vargas, J.; Fernández-Velasco, M.; Boscá, L.; Casado, M.; Martín-Sanz, P.; Agra, N. PGE2 Induces Apoptosis of Hepatic Stellate Cells and Attenuates Liver Fibrosis in Mice by Downregulating MiR-23a-5p and MiR-28a-5p. Biochim. Et Biophys. Acta (BBA)—Mol. Basis Dis. 2018, 1864, 325–337. [Google Scholar] [CrossRef]
  31. Pérez, S.; Aspichueta, P.; Ochoa, B.; Chico, Y. The 2-Series Prostaglandins Suppress VLDL Secretion in an Inflammatory Condition-Dependent Manner in Primary Rat Hepatocytes. Biochim. Et Biophys. Acta (BBA)—Mol. Cell Biol. Lipids 2006, 1761, 160–171. [Google Scholar] [CrossRef] [PubMed]
  32. Chung, M.-Y.; Mah, E.; Masterjohn, C.; Noh, S.K.; Park, H.J.; Clark, R.M.; Park, Y.-K.; Lee, J.-Y.; Bruno, R.S. Green Tea Lowers Hepatic COX-2 and Prostaglandin E2 in Rats with Dietary Fat-Induced Nonalcoholic Steatohepatitis. J. Med. Food. 2015, 18, 648–655. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Results of the study and proposed hypothesis.
Figure 1. Results of the study and proposed hypothesis.
Nutrients 14 04310 g001
Table 1. Differences between biochemical parameters before and after 8 weeks of high-fiber buns intervention.
Table 1. Differences between biochemical parameters before and after 8 weeks of high-fiber buns intervention.
ParametersIntervention with 12 gpIntervention with 24 gp
MedianIQRMedian IQRMedianIQRMedian IQR
Fasting glucose (mg/dL)9514.19033.50.6691.615.497.910.60.94
Total cholesterol (mg/dL)195.253.2178.227.50.1821051.6197.347.70.03 ↓
HDL (mg/dL)45.21242.816.10.5847.16.448.76.50.07
LDL (mg/dL)127.957.7110.441.80.33138.931.9129.7460.09
TG (mg/dL)164.195.3119.71650.14169.6152.3161.6113.20.11
ALT (U/L)381938190.94412131180.06
AST (U/L)261230110.682682360.03 ↓
GGTP (U/L)321035160.23281224140.12
Fasting insulin (uU/mL)19.320.716.913.60.6633.794.937.6310.09
Age (years)4712.8---47.514.7---
BMI (kg/m2)29.13.828.75.20.04 ↓28.210.528.99.70.54
↑- significant increase, ↓ significant decrease.
Table 2. Fatty acids profile before and after 8 weeks of high-fiber buns intervention.
Table 2. Fatty acids profile before and after 8 weeks of high-fiber buns intervention.
Fatty Acid (%)Intervention with 12 gpIntervention with 24 gp
MedianIQRMedian IQRMedianIQRMedian IQR
C13:0 Tridecanoic acid0.200.050.200.080.530.220.060.230.090.45
C14:0 Myristic acid1.240.671.300.300.351.270.301.110.430.76
C14:1 Myristolenic acid0.050.060.060.040.0001 ↑0.050.030.070.040.001 ↑
C15:0 Pentadecanoic acid0.160.070.190.030.150.140.050.150.050.58
C16:0 Palmitic acid3.462.0829.271.890.001 ↓31.452.5629.981.860.02 ↓
C16:1 Palmitoleic acid1.030.431.640.990.001 ↑1.150.491.200.900.001 ↑
C17:0 Heptadecanoic acid0.250.040.260.050.30.240.050.250.070.07
C17:1 Heptadecanoic acid0.060.020.080.030.0001 ↑0.060.020.070.060.0001 ↑
C18:0 Stearic acid21.393.9819.123.630.03 ↓21.765.5319.785.610.019 ↓
C18:1n9 Oleic acid12.444.5714.504.480.0712.044.4514.373.670.07
C18:1n7 Vaccinic acid1.340.491.470.410.711.300.421.590.530.17
C18:2n6 Linoleic acid12.255.1214.074.870.02 ↑12.125.2614.673.750.016 ↑
C18:3n6 Gamma linoleic acid (GLA)0.170.100.260.160.003 ↑0.140.060.240.100.021 ↑
C18:3n3 Linolenic acid0.180.070.130.060.02 ↑0.170.050.120.040.09
C20:4n6 Arachidonic acid (AA)6.031.465.761.730.475.751.106.101.440.76
C20:5n3 EPA0.480.110.510.210.140.580.400.510.550.46
C22:4n6 Docosatetraenoic acid0.490.240.390.290.460.500,190.460.160.32
C22:5n3 Docosapentaenoic acid0.560.180.630.190.05 ↑0.520.180.620.330.008 ↑
C22:6n3 DHA1.550.511.500.440.461.600.591.850.900.005 ↑
Increased amount of fiber in the diet reduced concentration of prostaglandin E2, which was more visible in the group who received 24 g of fiber (Table 3). ↑- significant increase, ↓ significant decrease.
Table 3. Eicosanoids profile before and after 8 weeks of high-fiber buns intervention.
Table 3. Eicosanoids profile before and after 8 weeks of high-fiber buns intervention.
Eicosanoids (ng/mL)Intervention with 12 gpIntervention with 24 gp
MedianIQRMedian IQRMedianIQRMedian IQR
Resolvine E10.520.260.430.150.10.510.170.330.270.3
Prostaglandin E27.422.845.253.780.017 ↓9.896.955.619.510.008 ↓
LTX A43.728.934.046.580.895.743.207.9211.520.42
DiHDHA Protectin DX0.580.390.130.060.580.330.120.140.050.01
Leucotriene B40.030.040.030.020.410.040.030.040.010.52
18 HEPE0.110.080.090.050.540.160.070.090.050.3
13 HODE0.080.060.100.040.780.090.070.130.110.36
9 HODE0.060.030.090.070.270.100.050.120.080.23
15 HETE0.630.300.730.620.410.750.470.700.410.63
17 HDHA0.150.090.120.050.680.190.290.120.040.19
12 HETE1.451.191.744.980.431.940.622.651.720.11
5 HETE0.520.490.790.860.540.670.400.680.700.78
5 oxo ETE0.660.670.720.370.210.430.650.620.500.26
↑- significant increase, ↓ significant decrease.
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Maciejewska-Markiewicz, D.; Drozd, A.; Palma, J.; Ryterska, K.; Hawryłkowicz, V.; Załęska, P.; Wunsh, E.; Kozłowska-Petriczko, K.; Stachowska, E. Fatty Acids and Eicosanoids Change during High-Fiber Diet in NAFLD Patients—Randomized Control Trials (RCT). Nutrients 2022, 14, 4310. https://doi.org/10.3390/nu14204310

AMA Style

Maciejewska-Markiewicz D, Drozd A, Palma J, Ryterska K, Hawryłkowicz V, Załęska P, Wunsh E, Kozłowska-Petriczko K, Stachowska E. Fatty Acids and Eicosanoids Change during High-Fiber Diet in NAFLD Patients—Randomized Control Trials (RCT). Nutrients. 2022; 14(20):4310. https://doi.org/10.3390/nu14204310

Chicago/Turabian Style

Maciejewska-Markiewicz, Dominika, Arleta Drozd, Joanna Palma, Karina Ryterska, Viktoria Hawryłkowicz, Patrycja Załęska, Ewa Wunsh, Katarzyna Kozłowska-Petriczko, and Ewa Stachowska. 2022. "Fatty Acids and Eicosanoids Change during High-Fiber Diet in NAFLD Patients—Randomized Control Trials (RCT)" Nutrients 14, no. 20: 4310. https://doi.org/10.3390/nu14204310

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