In the past decades, it has become apparent that dietary SCFA might have an important role in the prevention and treatment of obesity. Some epidemiological data indicate that SCFA reduce weight gain and body fat mass in obesity( Reference Kondo, Kishi and Fushimi 1 , Reference Chambers, Viardot and Psichas 2 ). Subsequently, the study using rodent models of diet-induced obesity has further shown that supplementation of dietary SCFA prevents and reverses high-fat-diet (HFD)-induced metabolic abnormalities in mice( Reference den Besten, Bleeker and Gerding 3 ). SCFA, including acetate, propionate and butyrate, are the main products of the fermentation of dietary fibres by anaerobic intestinal microbiota( Reference Kasubuchi, Hasegawa and Hiramatsu 4 ). In addition to serving as an energy source, SCFA are recognised as signalling molecules via G-protein-coupled receptors 41 and 43 (GPR41 and GPR43). SCFA bind to these receptors and activate G-protein-mediated second messenger signalling pathways, which have been identified to be involved in the modulation of lipid metabolism, in influencing leptin production, insulin sensitivity and other satiety hormones and in inhibiting lipolysis in adipose tissue( Reference Meyre, Froguel and Horber 5 – Reference Kimura, Inoue and Maeda 7 ).
Obesity is defined as an excessive growth of adipose tissue, which is also an active endocrine organ that is able to produce and release several bioactive polypeptides known as adipokines( Reference Leal Vde and Mafra 8 ). Adiponectin and resistin are major adipokines secreted by white adipose tissues, and their aberrant expressions may contribute to the progression of obesity and its complications including insulin resistance, inflammation, hypertension, cardiovascular risk and metabolic disorders( Reference Vendrell, Broch and Vilarrasa 9 ). It has been demonstrated that, in obesity, the adiponectin is expressionally reduced( Reference Roumaud and Martin 10 ), whereas the resistin’s expression is still in controversy with being up-regulated in initial studies and down-regulated in later reports( Reference Bełtowski 11 ). However, the mechanisms underlying the abnormal expression of these two adipokines in obesity are still far from being fully understood.
There is substantial evidence from animals and humans demonstrating that obesity predisposition and weight loss outcomes have been associated with changes in epigenetic patterns( Reference Milagro, Mansego and De Miguel 12 ). Methylation of cytosines within the CpG dinucleotide by DNA methyltransferases (DNMT) is involved in regulating transcription and chromatin structure, controlling transcriptional consequences of the gene. Moreover, the regional specificity of genomic DNA methylation patterning changes markedly with different environmental stimuli including diets( Reference De Carvalho, You and Jones 13 ). Intriguingly, several reports have shown that the HFD consumption affects the epigenetics of various genes involved in the metabolic imbalance, adiposity, appetite regulation and so on( Reference Richmond, Timpson and Sørensen 14 ). It is also indicated that the obvious hypermethylation in the promoters of leptin and adiponectin were closely associated with its abnormal expression in obesity( Reference Shen, Wang and Xia 15 , Reference Greenhill 16 ).
More recently, nutrients and other environmental factors have been shown to induce epigenetic modifications, such as CpG island methylation and histone modifications, which, in turn, alter the gene expression, leading to susceptibility to many non-communicable chronic diseases( Reference Burdge and Lillycrop 17 , Reference Lavebratt, Almgren and Ekström 18 ). SCFA are well known for their epigenetic activity as histone deacetylase inhibitors (HDACi), and activities of HDAC and methyl-CpG-binding domain protein (MBD), consequently, control gene expression in colon cancer cells and human embryonal kidney 293M+ cell lines( Reference Waldecker, Kautenburger and Daumann 19 , Reference Spurling, Suhl and Boucher 20 ). With regard to these considerations, we hypothesised that SCFA may ameliorate the development of obesity through influencing the DNA methylation levels in promoters of the adiponectin and resistin genes. Therefore, in this study, using the high-fat diet-induced obese (DIO) male mouse model( Reference Hariri and Thibault 21 ), we determined the preventive effects of exogenous SCFA on body weight gain, and associated changes in expressions of the adiponectin and resistin and the underlying epigenetic mechanisms.
Methods
Diets
Five types of HFD (34·9 % fat by wt., 60 % kJ) – a control HFD and four HFD with acetate (HFD-A), propionate (HFD-P), butyrate (HFD-B) and their admixture (HFD-SCFA) – were designed according to the HFD formula (D12492) for the DIO mice from Research Diets, Inc. These five HFD contained the same amount of lard and soya oil as the main source of fat in each diet. Sodium acetate (W302406), sodium propionate (W518905), sodium butyrate (303410) (Sigma-Aldrich) or their admixture (at a ratio of 3:1:1) was incorporated into the HFD at a proportion of 5 % of the diet (w/w). In addition, a low-fat diet (4·3 % fat by wt., 10 % kJ) was also designed as a lean control with lard and soya oil as the source of fat, based on the control diet formula (D12450B) from Research Diets, Inc. (Table 1). The diets were prepared by the Institute of Laboratory Animal Sciences at the Chinese Academy of Medical Sciences and stored at –20°C before use.
HFD, high-fat diet; HFD-A, HFD with acetate; HFD-P, HFD with propionate; HFD-B, HFD with butyrate; HFD-SCFA, HFD with admixture of acetate, butyrate and propionate.
Animals
C57BL/6J male mice, 3–4 weeks old, purchased from the SPF Laboratory Animal Technology Co. Ltd, were randomly divided into six groups (n 10 for each group) and housed at the animal facilities under a 12 h light–12 h dark cycle with cycles of air ventilation and free access to water and food in the Laboratory Animal Center of the Academy of Military Medical Sciences of China. After 1 week of recovery from transportation, the mice were fed one of the five HFD for 16 weeks to induce obesity with the low-fat diet feeding as control, and the body weight was measured weekly. At the end of the experiments, mice were anaesthetised by intraperitoneal injection of Avertin (125 mg/kg of 2,2,2-tribromoethanol, T-4840–2; Sigma-Aldrich, Chemie GmbH). After the mice were killed, the epididymal fat was dissected free of the surrounding tissue, removed, wrapped in Al foil and frozen in liquid N2 and transferred to –80°C until the analysis was performed.
All of the animal experiments were performed in accordance with the recommendations in the Guide for the Care and Use of Laboratory Animals of National Administration Regulations on Laboratory Animals of China. All experimental protocols were approved by the Committee on the Ethics of Animal Experiments of the Academy of Military Medical Sciences.
Quantitative analysis of mRNA expression
Total RNA was extracted from mouse epididymal fat using TRIzol Reagent (catalogue no. 15596-026; Invitrogen), and complementary DNA was prepared from the total RNA using the SuperScriptTM III First-Strand Synthesis System for RT-PCR (catalogue no. 18080-051; Invitrogen), according to the procedures provided by manufacturer. The mRNA levels of adiponectin, resistin, DNMT1, DNMT3a, DNMT3b and the methyl-CpG-binding domain-based protein 2 (MBD2) in fat were measured by the real-time quantitative RT-PCR using an ABI PRISM 7300 sequence detection system (Applied Biosystems). The oligonucleotide primers for the target genes were designed with the assistance of PrimerExpress software from the gene sequence obtained from Ensembl Genome Browser (www. ensembl.org). The oligonucleotide primer pairs used are shown in the online Supplementary Table S1. The co-amplification of mouse β-actin mRNA, an invariant internal control, was performed in all of the samples. The assays were performed in triplicate, and the results were normalised to the β-actin mRNA levels by using the $$2^{{{\minus}\Delta C_{T} }} $$ method.
Bisulphite conversion and sequencing
The examined promoter regions of adiponectin and resistin are listed in Fig. 1 ( Reference Greenhill 16 , Reference Houde, Légaré and Hould 34 , Reference Nowacka-Woszuk, Pruszynska-Oszmalek and Szydlowski 35 ). Specifically, the adiponectin promoter region examined spans NTS 23145384–23146082 and includes six CpG sites within NTS −1162 to −494 (with respect to the TSS). The resistin promoter region examined spans NTS 3654370–3655769 and includes eighteen CpG sites within NTS −1450 to −113 (with respect to the TSS). DNA methylation of the selected site-specific CpG sites from these two adipokines was determined by bisulphite sequencing. Briefly, DNA Purification Kit (catalogue no. DN 1008; BioFuture Group Inc.) was used to isolate and purify DNA from the adipose tissue. Bisulphite conversion was performed using the MethylampTM DNA Modification Kit (catalogue no. P-1001; EpiGentek Group Inc.). Converted DNA was used fresh or it was stored at –20°C. Converted DNA was amplified by nested PCR, and the PCR products were sequenced directly. The methylation fraction was calculated from the amplitude of cytosine and thymine within each CpG dinucleotide (C/(C+T)). The assays were performed in triplicate. The primers used and annealing temperature are shown in the online Supplementary Table S2.
Chromatin immunoprecipitation
Many promoter-associated proteins have been shown to be involved in the methylation regulation of gene transcription. We targeted the key enzymes for which specific antibodies are available. The chromatin immunoprecipitation (ChIP) studies were performed using either prepared EpiQuikTM Kits (EpiGentek Group Inc.) – that is, the Tissue MBD2 ChIP Kit (catalogue no. P-2018) or the general ChIP Kit (EpiGentek catalogue no. P-2003) with specific antibodies for DNMT (1, 3a and 3b) (catalogue no. ab13537, ab2850 and ab2851). Briefly, the procedure was performed as follows. Adipose tissue (20 mg) was cross-linked with 1 % formaldehyde for 20 min and then homogenised. The homogenate was sonicated for four pulses of 15 s each at level 2 using the microtip probe of a Branson Digital Sonifier (Model 450; Branson UI-transonics Corporation), followed by a 40-s interval on ice between each pulse to generate fragments of genomic DNA ranging from 200 to 1000 bp in length. For the ChIP assays, equivalent amounts of treated chromatin were added to microwells containing immobilised antibodies for the targeted protein or a normal mouse IgG antibody negative control. In addition, a small portion of treated chromatin equivalent to 5 % of the extracted genomic DNA was used as the Input DNA to calculate the enrichment of the targeted proteins. After incubation for 90 min at 65°C to reverse the cross-links and elute the DNA, fast-spin columns were used for DNA purification.
The purified DNA was used for a real-time PCR analysis of the adiponectin and resistin promoters. The sequence data for these genes are available from NCBI (http://www.ncbi.nlm.nih.gov). Specific primer pairs were designed (online Supplementary Table S3). The PCR conditions were as follows: 95°C for 10 min, forty cycles of 95°C for 30 s, 60°C for 30 s and 75°C for 45 s, and finally 7 min at 75°C and 2 min at 4°C. A melting curve was generated from 70 to 95°C, and the signal was read every 0·5°C for 5 s. A co-amplification of mouse glyceraldehyde-3-phosphate dehydrogenase (GAPDH) mRNA was performed in all of the samples, including the ChIP and Input DNA samples. Each sample was normalised to its respective Input PCR product using the $$2^{{{\minus}\Delta C_{T} }} $$ method. The data were then expressed as the ratio of ChIP:Input, which reflects the quantity of the methylation regulatory proteins associated with the targeted gene promoter.
Statistical analysis
One-way ANOVA was performed to compare means in different groups for normal distribution data using SPSS version 13.0 for Windows; as with non-normal distribution, the differences between different groups were determined by applying the Mann–Whitney U test and the Wilcoxon signed-rank test. Significant differences between the lean control group and the DIO group were assessed using Dunnett’s T3 test, and comparisons between the DIO group and groups feeding different SCFA were determined by the S-N-K test. All values were expressed as means and standard deviations, and P<0·05 was considered to be statistically significant.
Results
Effects of SCFA on body weight of obese mice
After 16 weeks of feeding, the body weight of mice in the five HFD diet groups was significantly higher than that in the control diet group (P<0·05). If the five HFD diet groups were compared, dietary supplementation of acetate, propionate, butyrate or their admixture significantly suppressed the HFD-induced weight gain (P<0·05) (Fig. 2). Dietary supplementation of acetate, propionate, butyrate or their admixture to the HFD did not change the intakes of both food and energy since 8 weeks after the feeding intervention (P>0·05), which has been demonstrated previously in our study( Reference Lu, Fan and Li 6 ).
SCFA affect gene expressions of adiponectin and resistin in high-fat-diet-induced obese mice
As shown in Fig. 3, compared with the control diet group, the mRNA expression levels of adiponectin and resistin were lower in the HFD groups (P<0·05). Dietary supplementation of all three SCFA or their mixture in the HFD significantly increased the mRNA levels of adiponectin and resistin (P<0·05).
SCFA affect gene expressions of DNA methyltransferases and methyl-CpG-binding domain protein 2 in high-fat-diet-induced obese mice
The mRNA expressions of three types of DNMT and MBD2 were significantly higher in the HFD group compared with those in the control diet group (P<0·05). Dietary supplementation of all three SCFA or their mixture significantly reduced mRNA expression levels of three types of DNMT and MBD2 (P<0·05) (Fig. 4).
SCFA affect CpG methylation in promoters of adiponectin and resistin in high-fat-diet-induced obese mice
For the six CpG sites in the promoter region of adiponectin, the methylation fractions of sites 1–4 in the HFD-fed mice were increased, and these increased methylation levels in the HFD-fed mice were also reversed by dietary SCFA supplementation (P<0·05) (Table 2).
C, control; HFD, high-fat diet; HFD-A, HFD with acetate; HFD-P, HFD with propionate; HFD-B, HFD with butyrate; HFD-SCFA, HFD with admixture of acetate, butyrate and propionate.
* Compared with the C group (P<0·05).
† Compared with the HFD (P<0·05). n 10 in each group.
‡ The methylation fraction was calculated from the amplitude of cytosine and thymine within each CpG dinucleotide, C/(C+T). The assays were performed in triplicate.
Among the observed eighteen CpG sites of the methylation fractions at the resistin promoter, the higher methylation fractions of sites 5, 9, 11, 13 and 14 in the HFD-fed mice was found (P<0·05). Dietary SCFA supplementation reversed the changes at some of these sites, especially acetate, having the greatest effects in sites 3, 5, 9 and 10 (P<0·05) (Table 2).
SCFA change DNA methyltransferases and methyl-CpG-binding domain protein 2 at promoters of the adiponectin and resistin in obesity
As shown in Fig. 5, the HFD feeding increased the binding of DNMT1, DNMT3a, DNMT3b and MBD2 to promoters of adiponectin and resistin, and their bindings were reduced by dietary SCFA supplementation (P<0·05).
Discussion
At present, adipose tissue is also considered to be an endocrine gland that produces bioactive adipokines, such as leptin, adiponectin, resistin, apelin, visfatin and cytokines: TNF-α and IL-6( Reference Kuryszko, Sławuta and Sapikowski 22 ). Among them, adiponectin possesses the characteristics of anti-diabetic, anti-inflammatory and anti-atherogenic activity, and has a key role in glucose and fat metabolism( Reference Vendrell, Broch and Vilarrasa 9 ). Meanwhile, resistin regulates whole-body insulin sensitivity( Reference Ribot, Rodríguez and Rodríguez 23 ). It was reported that altered adipokine secretion was related to body fat accumulation and associated with the disturbance in the lipid and glucose metabolism and adipogenesis under a HFD( Reference Antuna-Puente, Feve and Fellahi 24 ). Usually, the reduced adiponectin expression indicates an abnormality in adipose tissue function( Reference Oliveira, de Síbio and Olimpio 25 ). Up to now, there remains inconsistency in resistin expression, but in several different models of obesity, including the ob/ob, db/db, tub/tub and KKA(y) mice, resistin expression is significantly decreased in the white adipose tissue when compared with their lean counterparts( Reference Way, Görgün and Tong 26 ). Our results also showed decreased mRNA levels of adiponectin and resistin in adipose tissue of DIO male mice. It is noteworthy that that female mice were not included in our study, which could be a limitation. We used male mice herein because the male rodents are introduced as ‘gold standards’ for studying diet-induced obesity( Reference Hariri and Thibault 21 ). In addition, expression levels of the resistin and adiponectin genes are sex-specific, which easily change owing to endogenous and exogenous factors in females( Reference Ribot, Rodríguez and Rodríguez 23 , Reference Stelmanska, Kmiec and Swierczynski 27 ). The effects of dietary SCFA supplementation on expressions of adiponectin and resistin in female DIO mice need to be elucidated in the future.
Nevertheless, the increased mRNA levels of adiponectin and resistin in DIO mice were observed when supplemented with dietary acetate, propionate, butyrate or their admixture in our study. Similarly, it is also reported that short-term oral administration of SCFA can alleviate diet-induced obesity and insulin resistance in mice through activation of the adiponectin-mediated pathway and stimulation of mitochondrial function in the skeletal muscle( Reference Hong, Jia and Pan 28 ). However, at present, the effect of exogenous SCFA on resistin expression has not yet been reported. Our results markedly indicate that SCFA may improve expressions of these two adipokines, and this might be helpful for obesity prevention.
It has been previously shown that epigenetic modification is responsible for chromatin structure and stability, and that DNA methylation is one of the key players governing gene expression independent of modulating expressions of transcription factors. Thus, epigenetic modification may be an important contributor to many chronic diseases including obesity( Reference Blackledge and Klose 29 , Reference Vickers 30 ). DNA methylation is the only known modification that targets the DNA itself. Moreover, aberrant DNA methylation can silence or activate gene expression patterns( Reference Weber and Schübeler 31 ). Single CpG site methylation in the region of a gene’s promoter can participate in the regulation of transcription, especially when it lies in a relevant transcription factor-binding site, and could be associated with diseases( Reference Kim, Park and Pan 32 , Reference Ehrlich, Weiss and Burghardt 33 ). Previous studies using animal models and pharmacological approaches have also shown that DNA methylation of a particular promoter region (relatively close to the transcription start site) suppresses the adiponectin expression( Reference Greenhill 16 , Reference Kim, Park and Pan 32 , Reference Houde, Légaré and Hould 34 ). Diet-induced variability of the resistin gene transcript level and methylation profile in rats was also reported by analysing the CpG island located from −945 to −1193 upstream of the first exon of the resistin gene( Reference Nowacka-Woszuk, Pruszynska-Oszmalek and Szydlowski 35 ). In this study, methylation levels of six CpG and eighteen CpG in the regions spanning the first exon and the promoter (1·5 kb upstream of TSS) of adiponectin and resistin were examined, respectively. The results have shown that the higher methylation fractions of four CpG sites (CG1, CG2, CG3 and CG4) in the adiponectin gene and six CpG sites (CG5, CG7, CG9, CG11, CG13 and CG14) in the resistin gene in obesity were obviously reversed by dietary SCFA supplementation. This suggested that SCFA regulate expression levels of adiponectin and resistin by epigenetic modification, which may result in phenotypic changes including body weight.
The results have also presented that CpG methylation in the special sites, not all the CpG sites, significantly changed in HFD supplemented with SCFA. The heterogeneity in nearby CpG sites may be associated with the site-specific DNA methylation differently mediated by DNA-binding transcription factors, DNA-binding methyltransferases and chromatin modifiers (ubiquitylation, acetylation and propionylation)( Reference Nishiyama, Yamaguchi and Nakanishi 36 ). Butyrate is well known for its epigenetic activity as a HDACi, and activities of HDAC and methyl CpG-binding proteins may influence DNA methylation( Reference Puddu, Sanguineti and Montecucco 37 , Reference Das, Dobrowolski and Shahir 38 ). Moreover, the research by Benjamin & Jost( Reference Benjamin and Jost 39 ) provided the evidence for an alternative regulating mechanism to histone deacetylation in executing methylation-directed gene expression by SCFA.
Addition of methyl groups to the 5' position on cytosine residues in DNA is catalysed by the family of DNMT proteins, including DNMT1, DNMT3a and DNMT3b. DNMT1 plays a major role in the maintenance of methylation patterns, exhibiting a higher level of activity on hemi-methylated compared with unmethylated DNA, whereas de novo methylation is catalysed by DNMT3a and DNMT3b( Reference Potter, McKay and Groom 40 , Reference Lund, Cole and VanderKraats 41 ). Furthermore, the MBD family proteins specifically bind double-stranded and methylated DNA to regulate gene transcription, which makes them useful for DNA methylation analysis( Reference Heimer, Tam and Sikes 42 ). In db/db mice, the hypoadiponectinaemia was ameliorated by the DNMT inhibitor RG108, which reduced DNA methylation level at the gene promoter, consequently alleviating metabolic dysregulation( Reference Ehrlich, Weiss and Burghardt 33 ). In the current study, we found that transcriptional expression levels of adipose MBD2 and DNMT were increased in the DIO mice, but reduced after dietary supplementation with SCFA. Moreover, the HFD feeding increased bindings of DNMT1, 3a, 3b and MBD2 to promoters of adiponectin and resistin, and their bindings were prohibited by dietary SCFA supplementation. Previous studies have addressed that once a gene promoter has been demethylated the gene recovers its capacity to be transcribed( Reference Renaudineau and Youinou 43 ). Thus, the effects of SCFA on mRNA expressions of the adiponectin and resistin may be attributable to the reduction in DNA methylation at gene promoters, together with decreased bindings of MBD2 and DNMT to gene promoters. To our best knowledge, this is the first report to clarify the specific DNMT subtypes and MBD2 that were responsible for DNA methylation of the adiponectin and resistin genes and associated transcriptional expressions.
Taken together, dietary supplementation of acetate, propionate, butyrate or their admixture prevented the body weight gain in the DIO male mice, and this may be associated with their regulation on adiponectin and resistin expressions. Specifically, reductions in the adiponectin and resistin expressions were reversed to normal ranges by dietary SCFA supplementation in DIO male mice, which may probably be mediated by modification of DNA methylation showing lowered expressions of DNA methylation-related enzymes (DNMT1, DNMT3a and DNMT3b) and MBD2, as well as their decreased bindings to the gene promoters.
Acknowledgements
This work was supported by the National Natural Science Foundation of China (no. 81670775) (K. Q.) and the Research Funds of Profession Quota Budjet from Beijing Municipal Science and Technology Commission (2016-bjsekyjs-2 to K. Q.).
C. F. and K. Q. designed the research. Y. L. and X. F. carried out the animal study and performed the experiment. A. L., R. W. and P. L. analysed the data. Y. L. assisted C. F. in preparing the manuscript. K. Q. helped to review the manuscript. All authors have read and approved the final manuscript.
The authors declare that there are no conflicts of interest.
Supplementary material
For supplementary material/s referred to in this article, please visit https://doi.org/10.1017/S0007114518001526