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Bioactive Constituents, Metabolites, and Functions
Optimal dietary ferulic acid for suppressing the obesityrelated disorders in leptin-deficient obese C57BL/6J-ob/ob mice Weiwei Wang, Yiou Pan, Li Wang, Hang Zhou, Ge Song, Yongwei Wang, Jianxue Liu, and Aike Li J. Agric. Food Chem., Just Accepted Manuscript • Publication Date (Web): 25 Mar 2019 Downloaded from http://pubs.acs.org on March 25, 2019
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Journal of Agricultural and Food Chemistry 1
Optimal dietary ferulic acid for suppressing the obesity-related disorders in leptin-deficient obese C57BL/6J-ob/ob mice Weiwei Wang1, Yiou Pan1,2, Li Wang1, Hang Zhou1, Ge Song1, Yongwei Wang1, Jianxue Liu2, Aike Li1* 1Academy 2Henan
*To
of State Administration of Grain, Beijing, P. R. China 100037
University of Science and Technology, Luoyang, P. R. China 471023
whom correspondence should be addressed. E-mail:
[email protected] Tel. +86-010-56542666; Fax. +86-010-56542666
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Abstract
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Ferulic acid (FA) is a major polyphenolic compound and has been shown to
3
improve the glucose and lipid homeostasis in high-fat diet-induced obese mice. Here,
4
we found the optimal level of dietary FA to ameliorate obesity and obesity-correlated
5
disorders, and identified the responses of gut microbiota to dietary FA in genetic
6
leptin-deficient obese (ob/ob) mice. The ob/ob mice exhibited persistent higher body
7
weights, feed efficiency, white adipose tissue weights and hepatic lipid accumulation,
8
compared with those of the WT mice. However, 0.5% dietary FA suppressed these
9
symptoms in ob/ob mice. The diversity of gut microbiota and the total abundance of
10
obesity- and anti-obesity-related genera were not influenced after FA intervention in
11
ob/ob mice. These data suggest that sufficient intake of FA (0.5%) could be useful for
12
treating obesity or obesity-related diseases, and this weight-control effect is possibly
13
not correlated with the gut-brain axis.
14
Keywords: ferulic acid, obesity, hyperglycemia, gutmicrobiota, ob/ob mice
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Introduction
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Ferulic acid (FA) is a hydroxycinnamic acid, an abundant polyphenolic
17
compound found in vegetables, fruits and grain, particularly rich in grain bran. Higher
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level of FA (255-362 mg kg-1 grain) is found in brown rice, compared with that in
19
milled rice (61-84 mg kg-1 grain)1. FA content is 452-731 mg kg-1 grain in
20
whole-wheat flour2, of which almost 90% exists in the wheat bran. The level of FA is
21
5300-5400 mg kg-1 grain in fine wheat bran. Corn has the highest content of FA in all
22
fractions among all grains3. The FA content is 232-1788 mg kg-1 grain in corn flours
23
and 1740 mg kg-1 grain in corn (dehulled kernels)3-5. What’s more, FA is of low
24
toxicity after oral administration, with the acute LD50 equal to 3200 mg kg-1 body
25
weight (BW) in mice6, and the LD50 equal to 2445 and 2113 mg kg-1 BW in male and
26
female rats, respectively7.
27
FA has been widely applied to prevent reactive oxygen species (ROS)-related
28
diseases, such as cancer, cardiovascular diseases and diabetes mellitus8. FA inhibits
29
proliferation of Caco-2 colon cancer cells by up-regulating genes related with
30
centrosome assembly and the gene for the structural maintenance of chromosome
31
protein SMC1L19. It can reduce systolic blood pressure; improve the structure and
32
function of the heart and blood vessel in hypertensive rats10. Furthermore, numerous
33
studies have shown that FA plays a beneficial role in treating diabetes through
34
regulating apoptosis and pro-inflammatory cytokines and alleviating insulin
35
resistant11.
36
Obesity, characterized by excess adipose deposition and impaired lipid and
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glucose metabolism, has been becoming a worldwide epidemic, which has high risk to
38
cause type II diabetes, cardiovascular diseases and cancers12, 13. Growing evidences
39
have demonstrated that the gut microbiota plays a key role in the development of
40
obesity, obesity-related type II diabetes and insulin resistance14-16. Most of studies
41
about the effects of phenolic compounds on gut microbiota have centered on their
42
antimicrobial activity and their potential prebiotic features17. Previous reports have
43
shown that green tea polyphenols suppressed the host body weight and hyperlipemia
44
in obese through changing of composition and diversity of colonic microbiota18.
45
However, limited information is available about whether and how the polyphenols
46
influence gut microbiota in obese human or animals. Recently, a study has shown that
47
FA inhibits the glucose and lipid metabolic dysequilibrium in high-fat diet-induced
48
obese mice19. Dietary FA can increase fecal lipid excretion and lipogenic enzyme
49
activities in high fat diet-fed mice20. And the lipid profiles can be ameliorated and the
50
lipid peroxidation can be restrained by supplementary intake of FA while rats suffered
51
with nicotine-induced toxicity21. However, the effects of dietary FA on lipid
52
deposition and metabolism in genetically obese mice remain unclear.
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Likewise, it is seldom known about the optimal level of dietary FA to alleviate
54
changes in obese mice. The objective of the present study was to identify the optimal
55
level of dietary FA to ameliorate obesity and obesity-related disorders, and to identify
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the responses of gut microbiota to dietary FA in leptin-deficient C57BL/6J-ob/ob
57
obese mice.
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Materials and Methods
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Ethics statement. The study was carried out in accordance with the Animal Ethics
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Committee Guidelines (Registration number: 2015M03) of Academy of State
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Administration of Grain.
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Animals and diets. Male C57BL/6J-ob/ob mice (32.01 ± 0.27 g) and their counterpart
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wild-type (WT) C57BL/6J mice controls (21.65 ± 0.16 g) were purchased at 5 wks of
64
age from Beijing HFK Bioscience Co., Ltd (Beijing, China). They were housed in
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individual ventilated cages (2 mice per cage) in a temperature (23 ± 2 ºC) and
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humidity (50% relative humidity) maintained room with a 12-h light-dark cycle. After
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an acclimation period (1 week), the mice were divided into one of 6 dietary groups (n
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= 8) on the basis of their body weights: two groups (WT and ob/ob control groups)
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fed the AIN-93M22 basal diet (Supplementary Table S1; prepared by TROPHIC,
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Nantong, China), and four ob/ob groups fed the basal diets supplemented with FA (the
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content of FA in diets was 0.05%, 0.125%, 0.25% and 0.5%, w/w, respectively) for 9
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wks. FA (≥ 99% pure) was purchased from Aladdin (Shanghai, China). WT Mice and
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ob/ob control mice were given free access to food throughout the entire study,
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whereas mice in the other four groups were pair-fed the amount of food consumed by
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the ob/ob control mice. The food consumption and body weight were measured
76
weekly.
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Preparation of serum and tissue samples. After food deprivation for 4 h, the mice
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were sacrificed by using carbon dioxide inhalation at the end of the experiment.
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Serum were obtained by centrifuging whole blood at 2,000 × g for 15 min at 4ºC.
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Liver and white adipose tissue (WAT) were obtained and weighed.
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Determination of serum and hepatic lipids. Serum total triglyceride (TG), total
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cholesterol (TC), low-density lipoprotein cholesterol (LDL), and high-density
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lipoprotein cholesterol (HDL) were measured using a biochemistry analyzer (Roche
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Modular, Roche, USA). Livers were homogenized in distilled solution and the hepatic
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TG and TC were determined by the assay kit (Nanjing Jiancheng Bioengineering Ins.,
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Nanjing, China). The histopathological characteristics of mice livers were analyzed as
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described in Park et al. (2011)23.
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Analysis of Fatty acid composition of WAT. The fatty acid composition of WAT was
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measured by the method of Pugo-Gunsam et al.24 with some modifications. In brief,
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triacylglycerols of WAT were extracted by petroleumether and were hydrolyzed to
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fatty acids by 0.5 mol/L NaOH in methanol. Fatty acids were transmethylated using
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BF3 in methanol (12-15%). Fatty acid methyl esters were then extracted in isooctane
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and used for GC analysis.
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DNA extraction and 16S rRNA gene sequencing. The cecal contents (n = 6) of WT
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and ob/ob mice fed 0 and 0.5% FA were collected and were immediately frozen and
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stored at -80ºC for analysis. Genomic DNA was extracted using a modified
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cetyltrimethylammonium bromide (CTAB) DNA extraction protocol25. The V3 and
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V4 hypervariable regions of 16S rRNA genes were amplified by PCR (98 ºC for 1
99
min→30 cycles at 98 ºC for 10 s, 50 ºC for 30 s, 72 ºC for 30s→72 ºC for 5 min),
100
using
primer
(341F
5’-CCTAYGGGRBGCASCAG-3’
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GGACTACNNGGGTATCTAAT-3’) with the barcode. The amplified products were
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extracted from 2% agarose gels in Tris-acetate-EDTA (TAE) buffer and purified by
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806R
5’-
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GeneJET Gel Extraction Kit (Thermo Fisher Scientific, Waltham, Massachusetts,
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USA). Amplicon library was generated using Ion Plus Fragment Library Kit (Thermo
105
Fisher Scientific) following manufacturer's protocol. Quality of the library was
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assessed on the Qubit 2.0 Fluorometer (Thermo Fisher Scientific), and equal amount
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of amplicon from each sample was pooled together. Then the library was single-end
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sequenced on an Ion S5 XL platform (Thermo Fisher Scientific).
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Statistical analysis. Values are expressed as means ± SEM. SAS Statistics (SAS
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Institute Inc., NC, USA) was employed to analyze data of growth performance, tissue
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weights, blood and hepatic lipid profiles, fatty acid composition of WAT were
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analyzed by one-way ANOVA. Significant differences among group means were
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determined by the Student-Newman-Keuls comparison test26. Single-end reads of 16S
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rRNA genes were identified under unique barcode in the individual read and truncated
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by cutting off the barcode and primer sequence. Low-quality reads were filtered in
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accordance with the Cutadapt (version V1.9.1) quality-control process. An
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Operational Taxonomic Unit (OTU) was defined as sequences with ≥ 97% similarity
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according to UPARSE (version V7.0.1001). The phylogenetic affiliation of each OUT
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was analyzed by SILVA 16S rRNA database (SSUrRNA), and the distances between
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phylotypes were calculated using MUSCLE (version 3.8.31). The alpha-diversity
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(Chao 1 and PD_whole_tree) indices were calculated using Qiimesoftware package
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(version 1.9.1) and the curves for them were composed by R packages (version
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2.15.3). Principal coordinate analysis (PCoA) was performed based on weighted
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UniFrac distance-metrics analysis by R programming language. A linear discriminant
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analysis (LDA) effect size pipeline (LEfSe) was used to determine differentially
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abundant taxa (biomarkers) with LDA score higher than 2. ANOSIM analysis was
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performed using R software. Comparisons of microbial abundance in different
128
experimental groups were performed using Tukey or Wilcox test with R software.
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Spearman’s correlation analysis was conducted to illustrate the correlations between
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gut microbe and metabolic parameters. Probability values ≤ 0.05 were considered as
131
significant.
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Results
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Response of weight gain and WAT accumulation to FA supplementation in ob/ob mice
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The BW of WT mice increased slightly during the experimental period. At week
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9, the BW of WT control mice was 27.21 ± 1.02 g. And ob/ob mice exhibited
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persistent higher (P < 0.01) body weights compared with that of their counterpart WT
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control mice (data not shown). Starting from week 4, the BW of ob/ob mice fed the
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0.5% FA diet was lower (P < 0.05) than that of ob/ob control mice (Figure 1). 0.5%
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FA also lowered the average BW gain and feed efficiency during the experimental
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period compared with those of ob/ob control mice (Table 1). However, no significant
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difference was observed in the BW of ob/ob mice fed 0.05%, 0.125%, 0.25% FA diet
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or control diet (P > 0.05).
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The WAT weights of ob/ob mice were significantly higher than that of WT mice,
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while those were lowered when ob/obmice were fed FA (Table 1; P < 0.05).
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However, no significant distinction was observed in the WAT weights among ob/ob
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mice fed 0.05%, 0.125%, 0.25% or 0.5% FA diet (P> 0.05).
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Response of hepatic lipid accumulation to FA supplementation in ob/ob mice
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The liver weights of ob/ob mice were significantly higher than those in WT mice
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(Table 1; P < 0.05). A tendency was observed that 0.05%, 0.25% or 0.5% FA could
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lower the liver weights of ob/ob control group. Contents of TG and TC in livers of
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ob/ob control mice were significantly higher (P < 0.05) than those in WT control
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mice. However, dietary FA alleviated this metabolic variation (Figure 2). Moreover,
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ob/ob mice fed 0.25% or 0.5% FA restored the contents of TG and TC in liver to the
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normal level as the WT mice have. The similar results were shown as
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histopathological consequence in Figure 3. Numerous lipid droplets were clearly
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observed in ob/ob mice fed control diet (Figure 3B) as compared to those in WT mice.
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On the contrary, smaller and fewer lipid droplets were observed in the livers of
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FA-fed ob/ob mice (Figure 3C-F) compared with those of the ob/ob control mice.
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Especially, the lipid droplets looked smaller in ob/ob mice fed the 0.25% or 0.5% FA
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diet (Figure 3E, F) than those in ob/ob control mice.
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Response of blood lipid accumulation to FA supplementation in ob/ob mice
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As compared to WT control mice, the ob/ob mice exhibited higher contents of TC,
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TG, HDL, LDL and HDL/LDL ratio in serum (Table 2, P< 0.05). However, the
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concentrations of TC, TG and LDL were lower (P< 0.05), while the concentration of
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HDL and HDL/LDL ratio was higher (P< 0.05) in ob/ob mice fed 0.25% FA diet than
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those in ob/ob control mice.
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Response of the contents of obesity-related monounsaturated fatty acids in WAT to FA
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supplementation in obese ob/ob mice
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The contents of palmitic acid (C16:0), palmitoleic acid (C16:1), stearic acid
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(C18:0), and oleic acid (C18:1) in WAT were higher in ob/ob mice than those in WT
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mice (Table 3, P < 0.05). However, the amount of C16:1, C18:1 and the fatty acid
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desaturation index (C16:1/C16:0 and C18:1/C18:0 ratios) in ob/ob mice fed 0.25% or
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0.5% FA were significantly less (P < 0.05) compared with those in ob/ob control
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mice.
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Response of the structure and composition of gut microbiota to FA supplementation in
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obese ob/ob mice
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To identify the responses of gut microbiota to FA supplementation in obese ob/ob
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mice, the structure and composition of gut microbiota was determined using six
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replicates per group either for WT, FA 0 and FA 0.5 group. The Chao 1 curves
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(Figure 4A) approached the saturation plateau, indicating most of the OTUs of our
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samples were captured in our research. However, no significant difference was
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identified (P > 0.05) for the Chao 1 (Figure 4B) and PD_whole_tree (Figure 4C)
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indices among all the three groups. PCoA on all taxonomic levels (Figure 4D)
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showed that WT mice and ob/ob mice had a radically different microbiota profile,
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whereas ob/ob mice fed 0.5% FA and ob/ob control mice had a similar microbiota
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profile.
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The compositions of gut microbiota were quite dissimilar among mice in WT, FA
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0 and FA 0.5 groups. At the phylum level (Figure 5A), the gut microbial composition
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of all the mice was taken the lead by the phyla Bacteroidetes, Proteobacteria and
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Firmicutes. WT mice had significantly higher Bacteroidetes than that of either ob/ob
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mice fed basal diet or 0.5% FA diet (WT vs OB vs FA: 0.42 ± 0.05 vs 0.30 ± 0.03 vs
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0.30 ± 0.03, P< 0.05). Interestingly, ob/ob mice fed 0.5% FA had significantly higher
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Proteobacteria (FA vs WT: 0.34 ± 0.02 vs 0.18 ± 0.06, P < 0.05) and lower
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Firmicutes (FA vs WT: 0.20 ± 0.02 vs 0.32 ± 0.04, P < 0.05) than those of WT mice.
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However, there was no difference of Proteobacteria and Firmicutes between ob/ob
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mice fed 0.5% FA and ob/ob control mice (P > 0.05). At the family level (Figure 5B),
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an obvious decrease in Muribaculaceae (belonging to the phylum Bacteroidetes) was
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perceived in the mice of FA 0.5 group and WT group compared with the mice in FA 0
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group (FA vs WT vs OB: 0.050 ± 0.004 vs 0.054 ± 0.007 vs 0.076 ± 0.008, P < 0.05).
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Using LEfSe algorithm, we identified 54 OTUs differed in abundance between WT
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mice and ob/ob control mice (Figure 6A), with 30 OTUs specialized for WT mice,
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and 24 OTUs for ob/ob control mice. And a total of 30 OTUs were identified to be
203
different in abundance between the mice in FA 0 and FA 0.5 group (Figure 6B). The
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largest effect size was computed for the family Muribaculaceae, which was more
205
abundant in the ob/ob control mice; and for the species Parabacteroides_merdae
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(phylum Bacteroidetes), which was more abundant in the ob/ob mice fed 0.5% FA.
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To identify the genera potentially have the anti-obesity and anti-hyperglycemia
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effects, we assessed the correlation between the dominant gut microbial genera and
209
metabolic parameters using Spearman’s correlation analysis (Supplemental Figure
210
S1). The results indicated that the genera, such as Helicobacter, Faecalibaculum
211
(phylum Firmicutes), Alloprevotella (phylum Bacteroidetes), etc. were positively
212
correlated with the obesity-associated parameters, including body weight, lipogenesis
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in liver and lipid profiles (Figure 7A). In contrast, the microbiota, such as Alistipes
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(phylum Bacteroidetes), unidentified_Ruminococcaceae (phylum Firmicutes), and
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Ruminiclostridium (phylum Firmicutes), were negatively correlated with the
216
obesity-associated parameters (Figure 7B, all P < 0.05). However, the abundances of
217
these functional groups had no significant differences between the ob/ob mice fed FA
218
or not.
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Discussion
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C57BL-6J-ob/ob mice having mutations in leptin gene become profoundly obese
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at a young age. These leptin-deficient mice have been widely used as a model to study
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obesity and obesity-related syndromes, such as hyperglycemia, hyperlipidemia, fatty
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liver and so on27, 28. In the present study, body weight gain and feed efficiency were
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all 1.5 folds greater in ob/ob control mice compared with those in WT mice. However,
225
the 0.5% FA-supplemented diet effectively suppressed the weight gain and WAT
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accumulation (Table 1; -13.4% and -13.7%, respectively) in ob/ob mice. Consistently,
227
we also found that dietary supplementation with 0.5% FA restrained the weight gain
228
and body fat accumulation in high-fat diet-induced obese mice. Meanwhile, dietary
229
supplementation with 0.5% FA had no influences on the weight gain, WAT, hepatic
230
lipid accumulation, blood glucose and inflammatory cytokines release in WT
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C57BL/J mice29. Polyphenols extracted from grape seed could inhibit WAT
232
deposition and control dyslipidemia in obesity30. Similarly, we found that FA
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decreased WAT index in ob/ob mice by about 11.3% compared with ob/ob control
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mice. Besides, we demonstrated that ob/ob mice had higher content of palmitic acid
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(C16:0), palmitoleic acid (C16:1), stearic acid (C18:0), and oleic acid (C18:1) content
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in WAT than WT mice (Table 3). The fatty acid desaturation index (C16:1/C16:0 and
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C18:1/C18:0), which is a sensitive biochemical indicator correlating with body mass
238
index (BMI) and WAT index, would keep high in adipose tissue in obese rat models31,
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32.
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of C16:1 and C18:1, further reflecting a lower desaturation index, compared with the
241
ob/ob control mice. Above data indicated that 0.5% dietary FA was the recommended
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level for weight control in leptin-deficient obese mice when growth tendency was
243
considered as the sole criterion.
However, ob/ob mice fed the 0.25% or 0.5% FA diet had significantly lower levels
244
Previous studies have indicated that liver steatosis is generally occurred in
245
obese33. In the present study, ob/ob control mice had both higher liver weight
246
(+152%) and higher liver index (liver weight/body weight, +47%) compared with
247
those in WT mice, which was consistent with other reports23. The FA supplementation
248
has not affected the liver weight and liver index in ob/ob mice. However, it decreased
249
the hepatic TC and TG contents (Figure 2) in ob/ob mice, which was confirmed by the
250
histopathological results (Figure 3), suggesting a reduced fatty liver probability.
251
Particularly, when the ob/ob mice fed the diet supplemented with 0.25% or 0.5% FA,
252
the lipid accumulation in liver were restored to similar level as WT mice (Figure 2).
253
Similarly, the wheat bran with bound or unbound FA was reported to reduce hepatic
254
lipid levels34. Correspondingly, lesser and smaller fat vacuoles were observed in ob/ob
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mice fed with 0.25% and 0.5% FA compared to ob/ob control mice (Figure 3).
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HDL has the role in esterifying and transporting cholesterol to the liver and then
257
secreted into the bile. Therefore, it was documented to be beneficial for protecting
258
against arterial disease and atherosclerosis35. In the present study, 0.25% FA
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up-regulated the serum content of HDL, which was accordant with the
260
down-regulation of total cholesterol in blood in ob/ob mice (Table 2). Besides, a low
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HDL/LDL ratio is a forceful predictor of cardiovascular events, such as coronary
262
atherosclerosisand carotid intima-media thickness progression36, 37. A depressed level
263
of HDL/LDL ratio was shown in ob/ob mice compared with that in WT mice.
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However, the ratio was elevated when the ob/ob mice was fed 0.25% FA in the
265
present study. Previous reports have demonstrated that FA exerts hypolipidemic
266
ability by suppressing cholesterol synthesis and cholesterol esterification through
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reducing HNG-CoA reductase and acyl-CoA: cholesterol transferase in tissues, and by
268
elevating the acidic sterol excretion38. Consistently, FA and its steryl esters,
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γ-oryzanol have been reported to exhibit strong anti-atherogenic properties39. These
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data suggested that FA could be a potential therapy for treating or preventing the
271
obesity-related diseases. Accordingly, in our present study, the 0.25% dietary FA
272
level ameliorated hyperlipidemiain the leptin-deficient obese C57BL/6J-ob/ob mice
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and had the potential to prevent the atherosclerosis.
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An increasing concerning is involved in the influence of dietary polyphenols on
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the gut microbiota and the probable correlation between this influence and the
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progression of obesity. Nevertheless, seldom information is available about how the
277
polyphenols influence gut microbiota in obese human or animals. To identify whether
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the FA-mediated decrease in body weight and fat deposition in liver and WAT had
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correlation with the change in gut microbiota, the gut microbial structure and
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composition in WT mice, ob/ob control mice and 0.5% FA-fed ob/ob mice were
281
profiled. Rearrangements of both the structure and composition of gut microbiota
282
were observed in the ob/ob control mice with comparison with those of WT mice
283
(Figure 4-5). Previous research had demonstrated that green tea polyphenols
284
administration resulted in the changes in diversity of colonic microbiota, resulting in
285
redunced body weight and hyperlipemia in high fat-induced obese mice18. Blueberry,
286
which is high in anthocyanins and other polyphenolic compounds, led to change of
287
composition in the gut microbiota associated with elevated systemic inflammation and
288
insulin signaling in high fat-induced obese rats40. However, the diversity of the gut
289
microbiota was not significantly influenced under intervention with FA in ob/ob obese
290
mice, and the structure of gut microbiota was only slightly different between ob/ob
291
mice in FA 0 group and FA 0.5 group (Figure 4D). In Spearman’s correlation analysis
292
(Supplementary Figure S1), the association of the gut microbiota with metabolic
293
parameters was displayed. We found that the abundances of genera Helicobacter,
294
Dubosiella,
295
Parabacteroides, Alloprevotella, and Faecalibaculum, have a positive correlation
296
with body weight gain and other obese-related parameters. In these genera, Dubosiella
297
and Negativibacillus abundances were decreased in ob/ob mice fed with 0.5% FA
298
after FA intervention compared to those in ob/ob control mice (P < 0.05). However,
Desulfovibrio,
Bifidobacterium,
Negativibacillus,
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Angelakisella,
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the total abundances of this functional genera group had no significant differences
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between the ob/ob control mice and ob/ob mice fed 0.5% FA.
301
Besides,
it
is
controversial
about
the
relationship
between
the
302
Firmicutes/Bacteroidetes ratio and obesity. Some reports declared an increased ratio
303
was associated with obesity14, while others indicated the inverse results41. Meanwhile,
304
there also have studies revealed no correlation between this ratio and obesity42, 43. Our
305
study found the Firmicutes/Bacteroidetes ratio had no difference among WT mice,
306
ob/ob obese mice and ob/ob mice fed 0.5% FA. This discrepancy may be owing to
307
different obese models used (high fat diet-induced obese mice vs leptin-deficient
308
ob/ob obese mice, mice vs rat, etc.), different lifestyles and different methodology in
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DNA extraction protocols as well as primer design41. The 16S rRNA data indicated
310
that 0.5% dietary FA could not change the structure of the gut microbiota and the total
311
abundance of genera associated with obesity and anti-obesity in leptin-deficient ob/ob
312
obese mice. Consequently, our study showed that there was no association between
313
the gut microbes and the anti-obesity effects of FA.
314
In conclusion, 0.25% or 0.5% dietary FA ameliorated lipogenesis and fat
315
deposition in WAT and lipid accumulation in liver in obese C57BL/6J-ob/ob mice.
316
Moreover, 0.5% FA-supplemented diet suppressed weight gain in obese ob/ob mice.
317
Overall, our results indicates that sufficient intake of FA could be useful for treating
318
obesity or obesity-correlated diseases, and this weight-control effect possibly not
319
correlated with the gut-brain axis. However, the exact mechanisms still require more
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investigations.
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Abbreviations
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C16:0, palmitic acid; C16:1, palmitoleic acid; C18:0, stearic acid; C18:1, oleic
323
acid; CTAB, cetyltrimethylammonium bromide; FA, ferulic acid; HDL, high-density
324
lipoprotein cholesterol; LDA, linear discriminant analysis; LDL, low-density
325
lipoprotein cholesterol; LEfSe, LDA effect size pipeline; OTU, Operational
326
Taxonomic Unit; PCoA, principal coordinate analysis; ROS, reactive oxygen species;
327
TC, total cholesterol; TG, total triglyceride; WAT, white adipose tissue; WT, wild
328
type.
329
Acknowledgments
330
W. W., J. L., and A. L. designed research; W. W., Y. P., L. W., H. Z., G. S., Y.
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W. and A. L. conducted research; W. W., Y. P., and A. L. analyzed data; W. W., and
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Y. P. wrote the paper. A. L. had primary responsibility for final content. All authors
333
have read and approved the final manuscript.
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Supporting Information
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The manuscript includes one supplementary table and one supplementary figure.
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Table S1. Composition of the experimental basal diet.
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Figure S1. Spearman correlation heatmap. The relationship between gut microbiota
324
(genus level) and metabolic parameters.*P< 0.05 and **P< 0.01.
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Funding This work was supported by the National key R&D Program of China (2017YFD0500505), the National Finance Project of China (164007000000150001), the National Natural Science Foundation of China (No. 31471591), and the Non-profit Industry (grain) Scientific Research Special Fund Agreement (No. 201513003-8, 201313011-6).
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Figure captions Figure 1. Body weight in C57BL/6J wild type (WT control) and C57BL/6J-ob/ob mice fed the 0 (ob/ob control), 0.05%, 0.125%, 0.25% or 0.5% ferulic acid (FA) diet from wk 3 to wk 9. Mean body weight of 8 replicates at each time point. Values are means ± SEM, n = 8. *P < 0.05 vs. ob/ob control. Figure 2. Liver triglyceride (A) and total cholesterol (B) in C57BL/6J wild type (WT control) and C57BL/6J-ob/ob mice fed the 0 (ob/ob control), 0.05%, 0.125%, 0.25% or 0.5% ferulic acid (FA) diet for 9 weeks. Values are means ± SEM, n = 8. Means in a list without a common letter differ, P < 0.05. Figure 3. Light photomicrographs of the liver sections in C57BL/6J wild type (WT control, A) and C57BL/6J-ob/ob mice fed the 0 (ob/ob control, B), 0.05% (C), 0.125% (D), 0.25% (E) or 0.5% (F) ferulic acid (FA) diet for 9 weeks. (hematoxylin-eosin staining, original magnification × 250). Figure 4. The structure of gut microbiota in C57BL/6J wild type (WT), C57BL/6J-ob/ob mice fed the 0 (ob/ob control, OB) and 0.5% ferulic acid (FA) diet for 9 weeks (n = 6). (A) The chao 1 curves. (B) The chao1 index levels. (C) The PD_whole_tree index levels. (D) Principal coordinate analysis (PCoA) generated using a weighted UniFrac distance-metrics. Figure 5. The composition of gut microbiota in C57BL/6J wild type (WT), C57BL/6J-ob/ob mice fed the 0 (ob/ob control, OB) and 0.5% ferulic acid (FA) diet for 9 weeks (n = 6). (A) Composition of gut microbiota at the phylum level. (B) Composition of gut microbiota at the family level.
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Figure 6. LEfSe analysis, indicating significantly differential distribution of taxa between C57BL/6J wild type (WT) and C57BL/6J-ob/ob control (OB) mice (A); and between C57BL/6J-ob/ob mice fed the 0.5% ferulic acid (FA) diet and OB group (B). (A) OTUs are presented in green when the taxon is significantly more abundant in the WT group and in red when it is significantly more abundant in the OB group. (B) OTUs are presented in green when the taxon is significantly more abundant in the OB group and in red when it is significantly more abundant in the FA group (n = 6). Figure 7. The relative abundance of the functional bacterial groups in the gut microbiota of mice. (A) Obesity-associated genera. (B) Anti-obesity-associated genera. WT, C57BL/6J wild type mice; OB, C57BL/6J-ob/ob control mice; FA, C57BL/6J-ob/ob mice fed the 0.5% ferulic acid diet. Values are means ± SEM, n = 6. Means without a common letter differ, P < 0.05.
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Table 1 Growth performance and tissue weights in WT and ob/ob mice fed the 0, 0.05%, 0.125%, 0.25% or 0.5% ferulic acid diet for 9 weeksa ob/ob Items
WT FA 0
Weight gain (g)
FA 0.05
FA 0.125
FA 0.25
FA 0.5
6.39 ± 0.33c
12.43 ± 0.40a
11.40 ± 0.37ab 12.17 ± 0.35ab 11.14 ± 0.42ab
10.77 ± 0.46b
43.42 ± 0.58b
54.22 ± 1.69a
53.61 ± 2.08a
54.55 ± 1.46a
52.43 ± 0.98a
52.48 ± 0.97a
(g/100 g)
3.72 ± 0.19c
5.79 ± 0.11a
5.40 ± 0.19ab
5.65 ± 0.17ab
5.35 ± 0.13ab
5.19 ± 0.22b
Liver weight (g)
0.89 ± 0.11c
2.24 ± 0.10ab
2.07 ± 0.11b
2.42 ± 0.10a
2.14 ± 0.10b
2.14 ± 0.04b
WAT weight (g)
0.87 ± 0.20c
4.08 ± 0.12a
3.50 ± 0.13b
3.59 ± 0.12b
3.57 ± 0.08b
3.52 ± 0.09b
Food intake (kJ/d) Feed efficiency
Relative weight of tissueb Liver
3.23 ± 0.18c
4.76 ± 0.22ab
4.51 ± 0.24b
5.14 ± 0.19a
4.65 ± 0.21ab
4.71 ± 0.11ab
WATc
2.96 ± 0.33c
8.65 ± 0.24a
7.59 ± 0.24b
7.61 ± 0.19b
7.74 ± 0.16b
7.75 ± 0.35b
aValues
are means ± SEM, n = 8. Means in a row without a common letter differ, P