l-Fucose ameliorates high-fat diet-induced obesity and hepatic steatosis in mice

Five-to-six-week-old male specific pathogen-free C57BL/6 mice were used in the study. All mice were randomly divided into the following three groups; (1) normal chow (NC), fed a low calorie fat diet (3.85 kcal/g, #D12450-B, Guangdong medical laboratory animal center); (2) high-fat diet (HFD), fed a high-fat diet (5.24 kcal/g, #D12492, Guangdong medical laboratory animal center); and (3) high-fat diet + Fuc (HFD + Fuc), fed a high-fat diet and administered intragastrically with Fuc (0.3 g/kg, F11093, Aladdin^@) once a day from the 8th week until the end of the experiment; mice in the NC and HFD group were administered intragastrically with an identical dose of sterile ddH₂O. All animals had access to water and food ad libitum, and their body weight was monitored weekly until the experiment was terminated at 18 weeks. All the mice were kept under a 12 h/12 h light/dark cycle with lights on at 8:00 AM and off at 8:00 PM. All mice were anesthetized and sacrificed after 18 weeks. The animal care and study protocols were in accordance with the guidelines of the Institutional Animal Care and Use Committee at Southern Medical University.

Stools from NAFLD patients (ultrasound approved) and age- and gender- matched healthy controls were collected. All individuals gave informed consent, and the study was approved by the Ethical Committee of Southern Medical University.

Cecal contents were collected after the mice were anesthetized, and were frozen immediately in liquid nitrogen and stored at − 80 °C. Microbial DNA was extracted from cecal contents as previously described [5, 17, 18]. Briefly, the cecal contents were resuspended separately in phosphate buffer solution (PBS) (pH 7.4) containing 0.5% Tween 20 and vortexed gently followed by a − 80 °C/60 °C cycle three times to disrupt bacterial membranes. DNA extraction was performed using the phenol–chloroform method.

Microbial DNA was extracted from the cecal contents using the protocol described above. All samples were paired-end sequenced on the Illumina platform, the reads aligned to the race genome were removed after quality control, and the remaining high-quality reads were used for further analysis. Gene abundance was normalized to reads. We classified the predicted genes by aligning them to genes in the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways [19]. The KEGG orthology abundance was then calculated by summing the abundance of genes annotated to the same feature [20].

Predicted functions of the gut microbiota were inferred for each cecal content sample using the Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt). The main oscillatory functional pathways were plotted in a heatmap. The heatmap represented the main oscillating functional KEGG pathways at the class level with the values centered and scaled along rows.

Glucose tolerance test (GTT) was performed at 15 weeks, while insulin tolerance test (ITT) was performed at 16 weeks [22]. For the GTT, the mice were transferred into a cage with fresh bedding and had free access to water; following fasting for 16 h, 1 g/kg glucose was administered (i.p). Blood glucose concentration (OneTouch Ultra^® test strips) was measured at 0 min, 30 min, 60 min, 90 min, and 120 min after glucose administration. For the ITT, the mice were transferred into a cage with fresh bedding and had free access to water; following fasting for 6 h, 0.35 U/kg insulin was administered (i.p). Blood glucose concentration (OneTouch Ultra^® test strips) was monitored at 0 min, 30 min, 60 min, 90 min, and 120 min after insulin administration.

The livers and epididymal fat tissues of mice were collected and incubated with 10% buffered formalin, then dehydrated in an ascending series of ethanol and cleared in xylene. Then, the tissues were embedded in paraffin wax and sliced into 5-μm-thick sections. Hematoxylin and eosin (HE) staining was performed according to the standard protocol. Images were captured with a Zeiss microscope.

The HE-stained sections of epididymal fat tissue prepared above were visualized and adipocyte sizes were measured. In brief, one section of each mouse (six fields per section) was randomly photographed for analysis. The adipocyte sizes were quantified using Image Pro-Plus 6.0 software (Media Cyberneics Inc., Behesda, MD) [23]. Fat cells at image borders were not counted.

For Oil Red O (Macklin) staining, the liver tissues were frozen and cut into 7-μm-thick sections and stained with fresh Oil Red O. Images were captured with a Zeiss microscope.

Dihydroethidium (DHE) (Invitrogen™), a redox-sensitive, cell-permeable fluorophore, was employed to evaluate hepatocellular reactive oxygen species (ROS) levels in frozen sections of liver tissues. Briefly, 7-μm-thick sections were washed with PBS (pH 7.4) five times and then incubated with the fluorescent probe DHE (2 μM) at 37 °C for 30 min. Finally, images were captured with a fluorescence microscope (Zeiss).

Lipid distribution in plasma lipoprotein fractions was detected using an automatic biochemistry analyzer. Hepatic triglyceride levels were measured using commercial assay kits (Jiancheng Bioengineering) following the manufacturer’s instructions.

All data were represented as mean ± standard error (SEM), and statistical analyses were performed with GraphPad Prism (version 6; GraphPad Software Inc., San Diego, CA) or R (v3.2.2). The differences between two groups were assessed using the two-tailed Student’s t-test. Data sets that involved more than two groups were assessed by one-way analysis of variance (ANOVA) unless indicated otherwise. A value of p < 0.05 was considered to denote statistical significance.

To characterize the effect of HFD on the gut microbiome, we first performed metagenomics analysis using DNA extracted from cecal contents of mice fed with NC or HFD for 18 weeks. As shown in Fig. 1a, PCoA of the metagenomics data showed a clear separation between NC and HFD clusters (p < 0.05, Adonis analysis). Moreover, volcano plot showed that the abundance of some genes was enriched in the NC group while that of others was enriched in the HFD group (Fig. 1b). We focused on a gene named fuca, which had a significantly reduced relative genomic abundance in the HFD group compared with that in the NC group (Fig. 1c) (p < 0.05). To further investigate whether levels of the hydrolase FUCA were altered in stool samples of NAFLD individuals, we measured FUCA levels in samples from healthy controls and NAFLD patients. FUCA levels exhibited a slightly decreasing trend in NAFLD patients, although without statistical significance (Fig. 1d). Taken together, these results suggested that HFD feeding dramatically changed the gut microbial genomics in mice compared with NC feeding.

The hydrolase FUCA catalytically produces Fuc. To assess whether intragastric administration of Fuc alters the host phenotype upon HFD feeding, we monitored the body weight gain and fat mass in mice. We found that HFD-fed mice gained significantly more weight than NC-fed mice (Fig. 2a). It showed that no difference was found in body weight gain between the HFD group and the HFD + Fuc group before Fuc treatment. Next, Fuc treatment was given to the HFD + Fuc group beginning from the 8th week. Interestingly, compared with the HFD group, the HFD + Fuc group showed reduced body weight with a statistically significant difference at the end of the experiment (Fig. 2b). In addition, the index of epididymal fat (Epi) (Fig. 2c), mesenteric fat (Mes) (Fig. 2d), and subcutaneous fat (Sc) (Fig. 2e) was markedly enhanced in the HFD group compared with the NC group, and the HFD + Fuc group exhibited a significantly lower index than the HFD group indicating an effect of Fuc treatment. Nevertheless, the index of brown adipose tissue (BAT) was moderately elevated in the HFD group but non-significantly compared to the other groups (Fig. 2f). Further, the effect of Fuc treatment on adipocyte size was observed in Epi tissue via HE staining (Fig. 2g). The average adipocyte size was markedly increased in the HFD group compared with the NC group, and decreased in the HFD + Fuc group compared with that in the HFD group (Fig. 2h). Altogether, these results demonstrated that Fuc treatment ameliorated HFD-induced obesity in mice.

Given that Fuc reduced body weight gain and fat mass (Fig. 2a–e), we next explored whether Fuc treatment ameliorated host glucose metabolism. First, intraperitoneal GTT was used to evaluate glucose tolerance in mice. We found that the area under the curve (AUC) of plasma glucose levels increased in the HFD group after intraperitoneal glucose administration. However, this parameter was moderately but non-significantly affected in the HFD + Fuc group (Fig. 3a). Then, we assessed the insulin tolerance using ITT. As expected, HFD feeding increased the AUC of plasma glucose levels compared with NC. Mice treated with Fuc did not show improved insulin tolerance (Fig. 3b). These results demonstrated that glucose tolerance was impaired in HFD-fed mice. Although Fuc treatment reduced body weight gain and fat mass in HFD-fed mice, it had no significant effect on host glucose metabolism under HFD feeding in current study.

Earlier studies have shown an association between HFD and hepatic steatosis in mice [24, 25]. To investigate whether the ameliorating effect of Fuc on hepatic steatosis was associated with Fuc-altered body weight gain, we measured plasma cholesterol (CHOL), plasma high-density lipoprotein (HDL), and hepatic triglyceride (TG) concentration in the mice. We found that plasma concentrations of CHOL and HDL were significantly increased in the HFD group compared with those in the NC group, and they were significantly decreased in the HFD + Fuc group compared with those in the HFD group (Fig. 4a, b). Most notably, hepatic triglyceride levels were markedly increased in the HFD group compared with those in the NC group, and significantly declined following Fuc treatment (Fig. 4c). These data suggested that Fuc treatment ameliorated HFD-induced hepatic steatosis. These findings were further supported by results of liver histology including HE staining, Oil Red O staining, and DHE staining (Fig. 4d). These results collectively indicated that Fuc ameliorated HFD-induced fatty liver development.

Metagenomic analysis of cecal microbiota showed that the relative genomic abundance of the fuca gene was reduced in response to HFD (Fig. 1c). Subsequently, we performed 16S rRNA gene sequencing to investigate whether Fuc treatment could normalize the cecal microbiota in HFD-fed mice. We first characterized the composition of cecal microbiota in NC and HFD-fed mice, as well as that in HFD-fed mice treated with Fuc. There were no significant changes in the alpha-diversity of bacteria in terms of Chao 1, observed OTUs, Shannon and phylogenetic diversity (PD) whole tree among the three groups (Fig. 5a). However, PCoA of the abund jaccard uniFrac distance between the cecal contents in each group showed a clear separation between the NC and HFD microbial communities; interestingly, the cecal contents from the HFD + Fuc group were more closely clustered with the microbial communities in the NC group than with those in the HFD group (p < 0.05, Adonis analysis) (Fig. 5b). Specifically, the PC1 distance among the groups exhibited statistical significance (p < 0.05) (Fig. 5c). Analysis at the abundance of class level (Fig. 5d) and family level (Fig. 5i) was presented. At the class level, levels of Deltaproteobacteria (Fig. 5e) and Deferribacteres (Fig. 5f) were significantly increased and Actinobacteria (Fig. 5g) levels were decreased but not significant in the HFD group compared to those in the NC group, but the effect of HFD on Deltaproteobacteria was abolished in HFD-fed mice due to Fuc treatment (Fig. 5e). The relative abundance of Deferribacteres and Actinobacteria in the HFD + Fuc group showed a trend towards that under NC conditions but without significance compared with that in the HFD group (Fig. 5f, g). At the family level, abundance of bacteria belonging to the Desulfovibrionaceae, Deferribacteraceae, and Porphyromonadaceae was significantly increased in response to HFD feeding compared with NC feeding, while Fuc treatment resulted in a decreasing trend in the bacterial levels compared with those in the HFD group (Fig. 5j–l). In particular, both the Desulfovibrionaceae (are from the Deltaproteobacteria class) and Porphyromonadaceae (are from the Bacteroidia class) attained statistical significance (Fig. 5j, l). These findings are consistent with those of a previous study by Zhang et al. [26], which found that the Desulfovibrionaceae were enhanced and Bifidobacterium spp. were absent in mouse models of HFD-induced obesity. Our study also found that bacteria in the Bifidobacteriaceae family (Fig. 5m) and the Bifidobacterium genus (Fig. 5h) were showed a reducing trend in the HFD group and an increasing trend without significance in the HFD + Fuc group. This indicated that HFD-induced changes in cecal microbiota composition could be reversed due to Fuc treatment.

In addition to the changes in gut microbiota at the compositional level, we next evaluated the cecal microbiota at the functional level using the Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) analysis. A heatmap was constructed to depict the main functional pathways showing differences among the three groups. All these pathways showed significant differences between the NC group and the HFD group, while Fuc treatment in HFD mice (HFD + Fuc) slightly or modestly reversed the differences (Fig. 6a) (p < 0.05, Kruskal Waills test). These data indicated that the functional pathways altered the most were metabolic pathways. Several representative pathways are shown in Fig. 6b–g. Collectively, these results demonstrated that HFD altered the composition and function of gut microbiota, and treatment with Fuc restored HFD-induced dysbiosis at both compositional and functional levels.