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PLOS One logoLink to PLOS One
. 2015 Feb 24;10(2):e0115186. doi: 10.1371/journal.pone.0115186

Roux-En Y Gastric Bypass Surgery Induces Genome-Wide Promoter-Specific Changes in DNA Methylation in Whole Blood of Obese Patients

Emil K Nilsson 1,*, Barbara Ernst 2, Sarah Voisin 1, Markus Sällman Almén 1, Christian Benedict 1, Jessica Mwinyi 1, Robert Fredriksson 2, Bernd Schultes 2, Helgi B Schiöth 1
Editor: Melania Manco3
PMCID: PMC4340013  PMID: 25710379

Abstract

Context

DNA methylation has been proposed to play a critical role in many cellular and biological processes.

Objective

To examine the influence of Roux-en-Y gastric bypass (RYGB) surgery on genome-wide promoter-specific DNA methylation in obese patients. Promoters are involved in the initiation and regulation of gene transcription.

Methods

Promoter-specific DNA methylation in whole blood was measured in 11 obese patients (presurgery BMI >35 kg/m2, 4 females), both before and 6 months after RYGB surgery, as well as once only in a control group of 16 normal-weight men. In addition, body weight and fasting plasma glucose were measured after an overnight fast.

Results

The mean genome-wide distance between promoter-specific DNA methylation of obese patients at six months after RYGB surgery and controls was shorter, as compared to that at baseline (p<0.001). Moreover, postsurgically, the DNA methylation of 51 promoters was significantly different from corresponding values that had been measured at baseline (28 upregulated and 23 downregulated, P<0.05 for all promoters, Bonferroni corrected). Among these promoters, an enrichment for genes involved in metabolic processes was found (n = 36, P<0.05). In addition, the mean DNA methylation of these 51 promoters was more similar after surgery to that of controls, than it had been at baseline (P<0.0001). When controlling for the RYGB surgery-induced drop in weight (-24% of respective baseline value) and fasting plasma glucose concentration (-16% of respective baseline value), the DNA methylation of only one out of 51 promoters (~2%) remained significantly different between the pre-and postsurgery time points.

Conclusions

Epigenetic modifications are proposed to play an important role in the development of and predisposition to metabolic diseases, including type II diabetes and obesity. Thus, our findings may form the basis for further investigations to unravel the molecular effects of gastric bypass surgery.

Clinical Trial

ClinicalTrials.gov NCT01730742

Introduction

An intervention that effectively reduces body weight in obese humans is Roux-en-Y gastric bypass (RYGB) surgery [1, 2]. This procedure reduces the functional volume of the stomach, and thereby significantly shortens the gastric residence time of food. In addition to its pronounced weight-reducing effects, RYGB surgery has been found to counteract many obesity-related metabolic abnormalities [1], including an impaired glycemic metabolism [3] and type 2 diabetes [4].

Interestingly, variations of body weight and plasma glucose concentrations have previously been associated with fluctuations in DNA methylation in humans, including promoter sites [5]. Promoters are DNA regions upstream of a gene that is typically involved in the initiation and regulation of gene transcription. DNA methylation represents an epigenetic mechanism that regulates gene expression in human cells [6], and an aberrant DNA methylation profile might contribute to many pathophysiological conditions observed in obese humans (e.g. [7], [8]). Specifically, weight loss induced by both RYGB and a very low calorie diet (VLCD) has been associated with promoter methylation changes in several genes.[9]

Against this background, the present study aimed to examine whether RYGB surgery has an impact on DNA methylation of gene promoters. To this study aim, genome-wide promoter-specific DNA methylation in whole blood was measured twice in 11 obese patients, both before and 6 month after RYGB surgery. In order to explore if RYGB surgery would reduce the genome-wide distance between promoter-specific DNA methylation of obese patients and normal-weight humans, we also sampled whole blood from 16 normal-weight men.

Methods

Patients

Eleven obese patients who qualified for bariatric surgery according to international guidelines [10] and were willing to undergo a RYGB procedure were included in the study. Patients were recruited in to the study at their time of surgery between 20090820 and 20110210 and were followed up 6 months after the surgery. Thus patient follow-up was performed February 2010 for the first patient and August 2011 for the latest patient. Individuals included in the St Gallen cohort have been well characterized with regard to medical history, medical diagnoses and the intake of any prescribed medications. Subjects, who were included into our genome wide studywere selected from the entire cohort based on two criteria. Individuals should have been only treated with therapeutics that pertained directly to the surgical intervention, e.g general anesthesia. Furthermore, no medical diagnoses other than obesity were allowed to be abundant. Written informed consent was obtained from all subjects, and the study was approved by the ethic committee of Canton St. Gallen, Switzerland. Ethical approval for the study was obtained 20080717. A consort flowchart of the selection procedure is available as Fig. 1 along with the Trend checklist (S1 Trend Checklist). The control group comprising 16 normal-weight men was obtained from the control condition of an as of yet unpublished study (Clinical trial number: NCT01730742). This study was approved by the regional ethic committee in Uppsala (regionala ekitprövningsnämnden i Uppsala, www.epn.se), Sweden and written, informed consent was signed by all participants. At the time of recruitment, prospective registration of intervention studies was not the norm and the authors opted to not register the study and ethical approval from committee of Canton St. Gallen and the regional ethical committee at Uppsala University was deemed sufficient. The authors confirm that all ongoing and related trials for this intervention are now registered.

Fig 1. Consort flowchart detailing how the subjects were rectuited and handled throughout the study.

Fig 1

RYGB Procedures

During the RYGB procedure the largest part of the stomach was transected, and a small gastric pouch of about 20–30 ml was then anastomized to the proximal jejunum with the diameter of the pouch–jejunal anastomosis standardized to be about 12 mm. In addition, the biliopancreatic limb is side to side anatomized to the jejunum 150 cm distal from the pouch–jejunal anastomosis (Roux-en Y limb length, 150 cm).

Assessments

For the determination of promoter-specific DNA methylation, whole blood was sampled after an overnight fast in EDTA coated tubes, both at baseline (~1–2 weeks before the surgery) and six months after RYGB. In the control group, whole blood was sampled in the morning after nocturnal sleep (data are not shown). Until assay, all whole blood samples were kept frozen at -80 C. Weight was measured while subjects were wearing light close. Fasting plasma glucose (FPG) levels were measured by routine clinical laboratory analyses.

Methylation profiling

Genomic DNA was extracted using the phenol-chloroform method [11]. Bisulfite conversion was performed with the EZ DNA Methylation—Gold kit (Zymo research. Cat. No. D5004). The degree of DNA methylation was determined by the Illumina 450K methylation chip (Illumina, San Diego, USA). After the bisulfite converted DNA was hybridized to the array, fluorescence was measured using the Illumina iScan system. The raw data were processed using GenomeStudio 2009–2. Blood samples from each subject were hybridized to the same physical chip to minimize biases. Note that one subject of an initial sample of 12 obese humans was not considered eligible for analysis because of technical failure during the methylation profiling procedure.

Statistical analysis

Beta values were produced by Genomestudio (Illumina, San Diego, USA) and preprocessed using Illumina Methylation Analyzer (IMA) package for R [12, 13]. Probes were excluded if the detection p-value exceeded 5E-5 in 75% or more of the samples. Probes annotated to known snp-sites or sex chromosomes were excluded prior to peak correction and quantile normalization. An average on all CpG sites located in the same promoter region was calculated as this analytical approach is proposed to be more meaningful from a biological perspective [14]. In total, 16724 promoter regions were used for subsequent analysis.

The initial analysis aimed to examine if RYGB surgery would reduce the genome-wide distance between promoter DNA methylation of obese patients and the control group (comprising normal-weight men). To this aim, the Euclidean distance of all promoters (i.e. 16724) was estimated for both presurgery time point vs. control group and postsurgery time point vs. control group. These distances were then compared by means of a pairwise t test. In the second analysis, presurgery DNA methylation of the above mentioned 16724 promoter regions was compared with that obtained at six month after RYGB (controlled for multiple comparisons, i.e. Bonferroni corrected). All significant promoter hits revealed by this pre/post comparison were then subjected to an additional Euclidean distance analysis. Overall, a p-value <0.05 was considered significant.

Results

Descriptive

Descriptive statistics of the participants are shown in Table 1. As expected, following RYGB surgery obese patients reduced their body weight by about 24%. However, patients’ weight remained significantly higher compared to the normal-weight group. Fasting plasma glucose levels were lower at six month after RYGB compared with baseline values (- 16%), with no statistical difference between obese patients at the postsurgery time point and normal-weight controls.

Table 1. Descriptive statistics.

Subjects at baselineA 6 months after RYGB surgeryB Normal-weight controlsC P-valueA vs. B P-ValueA vs. C P-ValueB vs. C
Mean ± SEM Mean ± SEM Mean ± SEM
Number of subjects 11 11 16 -- -- --
Females/Males (n/n) 7/4 7/4 0/16 -- -- --
Age, in years 47 ± 4 24 ± 1 -- -- --
Weight, in kg 132 ± 7 100 ± 6 78 ± 2 <0.001 <0.001 <0.01
Body mass index, kg/m2 48.2 ± 2.2 36.4 ± 2.1 23.6 ± 0.6 <0.001 <0.001 <0.001
Morning FPG, mg/dl 6.0 ± 0.4 5.1 ± 0.2 5.4 ± 0.1 <0.05 0.08 0.09
Plasma insulin 14.12 (2.6)

P-values were calculated by means of t-tests. A one-tailed p-value < 0.05 was considered significant. Abbreviations: FPG, fasting plasma glucose.

DNA methylation

The mean genome-wide Euclidean distance between promoters of obese patients at six month after RYGB surgery and controls was significantly shorter, as compared to that at baseline (P<0.001, Fig. 2, left panel). An additional analysis demonstrated that at six month after RYGB surgery, the DNA methylation of 51 promoters was significantly different from corresponding presurgery values (28 were upregulated and 23 were downregulated, P<0.05 for all promoters, Bonferroni corrected; Table 2). The mean DNA methylation of these 51 promoters was also more similar after surgery to that of controls, as compared to that at baseline (P<0.0001; Fig. 2, right panel). Importantly, when controlling for the RYGB surgery-induced drop in weight (-24% of respective baseline value) and fasting plasma glucose concentrations (-16% of respective baseline value), the DNA methylation of only one out of 51 promoters (~2%) remained significant at the postsurgery time point. An enrichment analysis of GO-terms biological processes using DAVID functional analysis revealed an enrichment for genes involved in metabolic processes (GO: 0008152) (P<0.05, Benjamini-Hochberg correction, Fig. 3).

Fig 2. Mean (± SEM) genome-wide Euclidean distance between promoter-specific DNA methylation of obese patients and controls before and at 6 month after Roux-en Y gastric bypass surgery.

Fig 2

The left panel illustrates the mean Euclidean distance at genome-wide scale, whereas the right panel shows the mean Euclidean distance at single-gene promoter scale. A two-tailed p-value <0.05 was considered significant.

Table 2. Whole-blood promoter-specific DNA methylation in obese patients before and at 6 month after Roux-en Y gastric bypass (RYGB) surgery.

Gene % DNA Methylation level of the promoter region (Mean ± SEM) P-value
Baseline 6 months after RYGB surgery
SLC5A3;MRPS6 1 51.95±2.46 57.78±3.09 1.27E-02
MAN1B1;LOC100289341 3.99±0.54 8.67±0.94 7.10E-04
GGPS1;ARID4B 17.22±0.89 20.57±1.01 1.03E-03
CHP;EXD1 15.83±1.26 19.26±1.57 3.75E-02
LOH12CR1 17.46±1.09 19.17±0.81 1.44E-02
RNF19A 2.54±0.46 4.85±0.81 2.64E-02
SLC5A3;MRPS6 1 23.66±0.95 25.92±1.24 9.16E-05
C4orf33;SCLT1 23.66±0.34 25.83±0.35 4.26E-02
INVS;ERP44 47.3±0.52 48.97±0.48 4.86E-02
STRADA 2 49.22±0.87 50.51±0.8 2.24E-02
STX16 3.79±0.26 5.2±0.2 1.60E-03
C9orf93 11.73±0.26 13.25±0.31 5.09E-03
NEDD8;GMPR2 13.37±0.58 14.48±0.21 4.50E-02
KCTD21;USP35 9.5±0.91 10.48±0.6 2.01E-02
SCLT1;C4orf33 15.18±0.2 16.45±0.22 1.97E-02
ABAT 1.94±0.21 2.6±0.18 2.85E-03
ERCC2 4.55±0.24 5.27±0.13 5.30E-04
TRIP11 1.26±0.14 2.04±0.25 2.18E-02
C19orf70;HSD11B1L 95.86±0.26 96.92±0.29 3.04E-02
STRADA 2 22.87±0.26 23.61±0.21 9.43E-03
ZNF321 5.64±0.69 6.13±0.33 1.93E-02
CTR9 16.81±0.26 17.55±0.27 2.14E-03
DENND1C 16.29±0.45 16.78±0.3 3.98E-03
ZNF331 9.51±0.15 10.22±0.14 1.51E-02
PITRM1 10.54±0.4 10.92±0.25 8.90E-03
KPTN 4.83±0.28 5.41±0.21 4.47E-02
COX15;CUTC 2.2±0.13 2.84±0.26 2.23E-02
DDX10 3.89±0.21 4.43±0.28 4.27E-02
ZNF165 3.31±0.14 2.75±0.17 5.28E-03
PDF;COG8 8.63±0.47 8.05±0.43 2.93E-02
NUBP1 3.49±0.2 2.93±0.14 1.27E-02
GANAB;INTS5 2.58±0.16 2.07±0.11 4.78E-02
PMM2;TMEM186 3.47±0.14 2.7±0.09 2.87E-02
C4orf41;RWDD4A 4.88±0.27 4.22±0.22 1.66E-03
ADK 5.39±0.21 4.86±0.28 2.17E-03
CBX3;HNRNPA2B1 5.41±0.32 4.78±0.2 3.17E-02
C1D 9.63±0.55 8.82±0.46 3.38E-02
TMC6 6.79±0.72 5.8±0.57 1.49E-02
KIF22 7.75±0.27 6.97±0.36 4.38E-02
C16orf46 13.61±0.4 12.91±0.29 1.14E-02
CDK5RAP1 6.15±0.29 5.21±0.18 1.96E-02
RUNDC1;AARSD1 9.95±0.35 8.99±0.24 2.24E-02
STIP1 15.8±0.35 14.36±0.56 1.31E-02
MORC2 10.66±0.48 9.18±0.38 1.41E-02
INCA1 13.47±0.64 11.89±0.34 3.29E-05
TXNDC12;BTF3L4 14.83±0.69 13.5±0.61 8.79E-03
ST6GALNAC6 16.32±0.61 14.81±0.47 2.58E-02
NARS2 13.09±0.64 11.63±0.62 4.53E-04
ZNF324 5.52±0.37 3.9±0.16 1.93E-02
C10orf55;PLAU 23.93±0.65 22.2±0.35 4.62E-03
C1orf86;LOC100128003 41.12±1.55 38.84±1.53 1.82E-03

The table shows gene promoters whose DNA methylation differed between baseline and 6 months after RYGB surgery. Overall, a Bonferroni corrected two-tailed p-value <0.05 was considered significant.

1 The difference between the two entries is that they are from two different promoters. One is the promoter for two splice variants (topmost entry); the other is cell type specific and only affects one splice variant of each gene.

2 There are two STRADA promoters associated with two sets of splice variants for that gene.

Fig 3. GO terms classification of genes (N = 51) whose promoter-specific DNA methylation was significantly different between baseline (i.e before Roux-en Y gastric bypass surgery) and at six month after surgery.

Fig 3

An enrichment analysis of GO-terms biological processes using DAVID functional analysis revealed an enrichment for genes involved in metabolic processes (GO: 0008152) (P<0.05).

Discussion

Here we demonstrate that Roux-en Y gastric bypass (RYGB) surgery decreases the genome-wide presurgery distance between promoter-specific DNA methylation in whole blood of obese patients and controls. These findings may form the basis for further investigations to unravel the molecular effects of gastric bypass surgery, as epigenetic modifications are proposed to play an important role in the development of metabolic diseases, including type 2 diabetes and obesity [15].

We observed that the mean genome-wide distance between promoters of obese patients at six month after RYGB surgery and controls was significantly shorter, than it had been before surgery. Notwithstanding, when adjusting for the RYGB surgery-induced drop in body weight and fasting plasma glucose, only one out of the 51 promoters that were significantly different between presurgery and postsurgery time points (following Bonferroni correction) remained significant. This suggests that the surgery-related influence on body weight and fasting plasma glucose may play a causative role for concomitant changes in DNA methylation. Among the promoter probes whose DNA methylation was significantly changed at 6 month after RYGB surgery, several might account for some metabolic and clinical benefits that are typically observed in response to the RYGB procedure. For instance, INCA1, whose methylation was about 12% lower at 6 month after RYGB than it had been at baseline, may have an anti-cancer effect due to its anti-proliferative properties [16]. Interestingly, cancer incidence and mortality data from the Utah Cancer Registry have recently demonstrated that gastric bypass results in lower cancer risk [17]. Another example of putatively clinically relevant changes in DNA methylation is the ADK gene, whose methylation was about 10% lower at 6 month after RYGB than it was at baseline. This gene encodes the enzyme adenosine kinase, which serves as a potential regulator of concentrations of extracellular adenosine and intracellular adenine nucleotides. Interestingly, studies with non‐selective adenosine antagonists have shown that adenosine can improve insulin secretion and lower glucose production [18, 19], as well as stimulate glucagon secretion [20]. Thus, respective changes in DNA methylation could very well contribute to the improved in glucose metabolism and remission of diabetes after RYGB surgery [2, 4].

Adding further grist to the mill that RYGB surgery can cause epigenetic changes in obese humans, a recent study has demonstrated that a RYGB-induced weight loss over six months was correlated with widespread changes in promoter-specific DNA methylation in the skeletal muscle of obese patients. Intriguingly, in this study it was also observed that a subset of genes involved in insulin pathways showed an association between gene expression and promoter methylation [21]. This supports the view that RYGB-induced differences in skeletal promoter-specific DNA methylation are biologically relevant, and may thus contribute to the metabolic health benefits that are often seen after RYGB surgery [1, 2, 4].

Several limitations apply to our study findings: They derive from whole blood samples. That said, as long as they have not been validated in future studies, they cannot be extrapolated to differences in DNA methylation that may occur in other tissues in response to RYGB. Furthermore, the reader should take into account that our study is a six-month snapshot of RYGB-induced changes in promoter-specific DNA methylation. This time point after surgery is characterized by a pronounced catabolism and negative energy balance. Thus, caution is warranted when extrapolating our DNA methylation findings to other time points after the surgery, i.e. when the patients have stabilized their body weight. The control group in the present study served as a reference for DNA methylation levels under conditions of normal weight and normal glucose metabolism. Thus, although our study findings indicate that the whole blood DNA methylation of promoters in obese patients goes towards methylation levels of normal-weight subjects at six month after RYGB surgery, they do not allow firm conclusions as to whether promoter-specific DNA methylation per se has been reset to physiological values. Finally, potential confound induced by factors not entered into our analysis cannot be excluded (e.g. variation in DNA methylation induced by changes in environmental light intensity).

In summary, our results show that RYGB surgery concurs with changes in methylation at DNA sites that are typically involved in the initiation and regulation of gene transcripts. Bearing in mind that we did not measure whole-blood gene transcription, an important next step is to investigate if the RYGB-induced differences in promoter-specific DNA methylation in whole blood are associated with differences in gene expression.

Supporting Information

S1 Trend Checklist. The trend checklist lists where the relevant information about ethical approvals and study outlines are found in the main paper.

(TIFF)

Acknowledgments

We thank all of our patients that provided the blood samples. Methylation profiling was performed by the SNP&SEQ Technology Platform in Uppsala. The platform is part of Science for Life Laboratory at Uppsala University and supported as a national infrastructure by the Swedish Research Council. Work from CB and HB is supported by the Swedish Research Council, Swedish Brain Research Foundation, Novo Nordisk Foundation, and Olle Enqkvist Byggmästare Foundation. The funding sources had no input in the design and conduct of this study, in the collection, analysis, and interpretation of the data, or in the preparation, review, or approval of the manuscript. All authors critically revised the manuscript for important intellectual content and contributed to writing the manuscript. All authors had full access to all of the data and take responsibility for the integrity and accuracy of the data analysis.

Data Availability

Data are available from ArrayExpress (accession E-MTAB-3161).

Funding Statement

Work from CB and HBS is supported by the Swedish Research Council, Swedish Brain Research Foundation, Novo Nordisk Foundation, and Olle Enqkvist Byggmästare Foundation. The funding sources had no input in the design and conduct of this study, in the collection, analysis, and interpretation of the data, or in the preparation, review, or approval of the manuscript.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S1 Trend Checklist. The trend checklist lists where the relevant information about ethical approvals and study outlines are found in the main paper.

(TIFF)

Data Availability Statement

Data are available from ArrayExpress (accession E-MTAB-3161).


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