Literature DB >> 23523790

The TGR5 gene is expressed in human subcutaneous adipose tissue and is associated with obesity, weight loss and resting metabolic rate.

Per-Arne Svensson1, Maja Olsson, Johanna C Andersson-Assarsson, Magdalena Taube, Maria J Pereira, Philippe Froguel, Peter Jacobson.   

Abstract

Bile acids have emerged as a new class of signaling molecules that play a role in metabolism. Studies in mice have shown that the bile acid receptor TGR5 mediates several of these effects but the metabolic function of TGR5 in humans is less well established. Here we show that human adipose tissue TGR5 expression is positively correlated to obesity and reduced during diet-induced weight loss. Adipose tissue TGR5 expression was also positively correlated to resting metabolic rate. Our study indicates that human adipose tissue contributes to the TGR5 mediated metabolic effects of bile acids and plays a role in energy expenditure.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23523790      PMCID: PMC3639367          DOI: 10.1016/j.bbrc.2013.03.031

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


Introduction

Bile acids are synthesized in the liver and play a central role in dietary lipid emulsification in the intestine. The majority of the secreted bile acids is taken up by the distal parts of the small intestine and return to the liver and the gall bladder via the enterohepatic circulation. Beyond their well established function in dietary lipid emulsification, bile acids are signaling molecules with metabolic effects mediated by specific receptors. The farnesoid X receptor (FXR) is the most studied receptor for bile acids. FXR is a nuclear receptor that regulates bile acid synthesis as well as lipid and glucose metabolism [1]. The G protein-coupled receptor TGR5 (also denoted G protein-coupled bile acid receptor 1 or GBPAR1) has also been found to be a functional bile acid receptor [2]. In 2006, Watanabe et al. showed that bile acid administration augmented energy expenditure in mice [3], and that these effects were mediated via the TGR5 and its effects on the thyroid hormone activating enzyme iodothyronine deiodinase type II (DIO2) in brown adipose tissue (BAT). In addition, they showed that bile acid treatment of human skeletal myocytes increased both DIO2 activity and oxygen consumption, indicating that similar mechanisms are relevant also in humans. More recently, TGR5 activation has been shown to induce glucagon-like peptide-1 (GLP-1) release in mice, indicating a direct role for TGR5 in glucose homeostasis [4]. Despite these advances in understanding of TGR5, much less in known about TGR5 function in humans and its expression in other metabolically relevant organs such as adipose tissue. The aim of this study was therefore to investigate the potential role of adipose tissue TGR5 in human metabolism.

Materials and methods

The regional ethics committee in Gothenburg approved these studies.

Sib Pair study

The swedish obese subjects (SOS) Sib Pair study consists of 154 nuclear families with BMI discordant sibling pairs (BMI difference ⩾10 kg/m2), resulting in a study population consisting of 732 subjects [5]. The subjects were extensively phenotyped [5], including anthropometric measurements and determination of resting metabolic rate (RMR) in a ventilated hood [6]. Subcutaneous adipose tissue needle biopsies were obtained and used for gene expression analysis. For the current study, complete data from 353 siblings and 86 parents were available for the analysis.

Very low calorie diet (VLCD) study

The very low calorie diet (VLCD) study was performed to investigate gene expression changes in adipose tissue of obese subjects during weight loss induced by caloric restriction. Twenty-eight obese subjects (20 women and 8 men, age 39.7 ± 12.7 years, BMI 36.3 ± 3.7 kg/m2) were treated with VLCD (450 kcal/day) for 12 weeks [7,8]. Subcutaneous adipose tissue needle biopsies were obtained at the start of the VLCD treatment (day 0) and three times during the VLCD treatment (weeks 2, 6, and 12). After 12 weeks of VLCD treatment, the mean weight loss was 19%.

Perithyroid and perirenal adipose tissue studies

Perthyroid adipose tissue surgical samples were obtained from 24 patients undergoing surgery in the thyroid region for malignancies or endocrine disorders. Clinical characteristics of the patients have been described previously [9]. Perithyroid adipose tissue biopsies containing BAT was identified by expression analysis of uncoupling protein 1 (UCP1) and histological analysis. Samples with high UCP1 expression was classified as BAT positive (BAT+, n = 9). Paired subcutaneous white adipose tissue biopsies from the surgical incision area were also obtained from the same nine patients (2 men and 7 women, age 47 ± 21 years, BMI 23 ± 2 kg/m2). Biopsies of perirenal adipose tissue were obtained from 55 healthy kidney donors. The perirenal adipose tissue samples were screened for UCP1 expression and samples with high UCP1 expression (samples from 4 men and 6 women) were classified as BAT positive (BAT+) samples. These samples constituted the BAT+ group. A control group (n = 10) with low perirenal adipose tissue UCP1 expression (classified as BAT− samples) was matched to the BAT+ group based on sex, age and BMI. The subjects in the BAT+ group had an average age of 42 ± 14 years and a BMI of 26 ± 2. The subjects in the BAT− group had an average age of 44 ± 9 years and a BMI of 26 ± 3.

Gene expression analysis

Total RNA was isolated from adipose tissue using the RNeasy lipid tissue midi kit (Qiagen, Chatsworth, CA) or the phenol–chloroform extraction method of Chomczynski and Sacchi [10]. Gene expression in adipose tissue from the Sib Pair study and in the perithyroid adipose tissue was analyzed study using Human Genome U133 plus 2.0 arrays (Affymetrix, Santa Clara, CA). Gene expression in the perirenal adipose tissue samples were analyzed by (Affymetrix Gene 1.0 ST arrays at the Uppsala Array Platform, Uppsala, Sweden). All arrays were analyzed according to the manufacturer’s instructions. Expression data were analyzed using the RMA algorithm (Affymetrix). TGR5 expression was assessed using probe sets 1552501_a_at and 8048249 for Human Genome U133 plus 2.0 and Expression assay Gene 1.0 ST arrays, respectively. Adipose tissue total RNA from the VLCD study was reversed transcribed using the High Capacity cDNA RT kit (Life Technologies, Paisley, UK) according to the manufacturer’s protocol. Reagents for real-time PCR analysis of TGR5 (Hs00544894_m1) and low-density lipoprotein (LDL) receptor-related protein 10 (LPR10) (Hs00204094_m1) were purchased from Life Technologies and used according to the manufacturer’s instructions. cDNA was used for real-time PCR in the Applied Biosystems PRISM 7900HT Sequence Detection System (Life Technologies) using default cycle parameters. A standard curve was plotted for each primer-probe set with a serial dilution of cDNA synthesized from pooled RNA. All samples and standards were analyzed in triplicate and LRP10 gene expression was used as a reference gene [11].

Gene ontology (GO) enrichment analysis

GO enrichment analysis was performed using the DAVID web–accessible program [12,13] (http://david.abcc.ncifcrf.gov). Transcripts significantly correlated with TGR5 expression were identified in the Sib Pair study using Spearman correlation. Accounting for multiple testing, a threshold of p < 9.1 × 10−7 was used as a cut off for declaring statistical significance (Bonferroni correction). This yielded a total of 1755 negative and 1767 positivity correlated transcripts which were included separately in the GO enrichment analysis. The analysis was limited to the GOTERM_BP_FAT, GEOTERM_CC_FAT and GEOTERM_MF_FAT options and Human Genome U133 Plus 2.0 was used as a background.

Statistical analysis

Statistical analyses were performed using the SAS software package (v. 9.1.3, SAS Institute Inc., Cary, NC) or and PASW Statistics (Chicago, IL, USA). Quantitative data were transformed towards normal distribution using Box–Cox power transformations. Outliers beyond three standard deviations from the trait mean were excluded. Correlations between clinical traits and TGR5 expression were analyzed using the MIXED procedure in SAS. In the linear mixed models, we used a “sandwich estimator” of the covariance matrix to adjust for non-independence among family members. This asymptotically yields the same parameter as ordinary least squares or regression methods while standard errors and, consequently, hypothesis tests are adjusted for the family relatedness. Comparisons in gene expression between BAT and WAT were performed using Student’s t-test (paired or unpaired as appropriate). Gene expression during weight loss was analyzed using a one-way repeated measures analysis of variance (ANOVA) with Greenhouse–Geisser correction. Comparisons between time points were assessed by Bonferroni corrected post-hoc tests.

Results

TGR5 adipose tissue expression

Initially, we investigated the link between TGR5 adipose tissue expression and obesity. Among the Sib Pair families, TGR5 expression was positively correlated with BMI (r = 0.40, p < 0.0001), independent of age, sex, family membership and generation. In line with this finding, obese subjects treated with VLCD displayed a drastic reduction of adipose tissue TGR5 expression determined by a repeated measures ANOVA (F(1.4, 38) = 38, p < 0.0005; Fig. 1). Compared to day 0, adipose tissue TGR5 expression was approximately half as low during the entire dieting period and post-hoc tests using the Bonferroni correction showed that TGR5 levels were reduced compared with day 0 at all subsequent time points measured (weeks 2, 6 and 12, p < 0.0005 for each test; Fig. 1).
Fig. 1

Adipose tissue TGR5 expression during weight loss. Twenty-eight obese patients (20 women and 8 men) were treated with a very low caloric diet for 12 weeks. Subcutaneous adipose tissue biopsies were obtained by needle aspiration before the diet (day 0, d0) and after 2, 6 and 12 weeks (w) of diet. TGR5 gene expression was analyzed by real-time PCR and normalized to the reference gene LRP10. Data is presented as mean ± SEM. ∗∗p < 0.0005 compared with d0.

Gene ontology enrichment analysis

To gain insights into functions in adipose tissue that may be related to TGR5 expression, Gene ontology enrichment analysis was performed using transcripts positively or negatively correlated to TGR5 expression in subcutaneous adipose tissue in the Sib Pair offspring study. Transcripts negative correlated to TGR5 expression displayed highly significant (adjusted p-values down to 3 × 10−20) enrichment of several GO terms relating to mitochondria and ribosome (Table 1). Enrichment analysis of transcripts positively correlated to TGR5 expression resulted in identification of GO terms primarily related to endoplasmatic reticulum/Golgi and cytoskeleton function but with less striking p-values (Table 1).
Table 1

Gene ontology enrichment analysis of transcripts correlated to TGR5 expression in adipose tissue in the Sib Pair study.

GO termCategoryCountaAdj p-valueb
Transcripts negatively correlated to TGR5 expression
MitochondrionCC1603.0E−20
Mitochondrial partCC1008.2E−16
Intracellular organelle lumenCC2034.4E−13
Organelle lumenCC2057.5E−13
Membrane-enclosed lumenCC2089.0E−13
TranslationBP671.6E−11
RibosomeCC467.1E−11
Mitochondrial envelopeCC686.1E−10
Organelle inner membraneCC586.3E−10
Mitochondrial membraneCC641.9E−09
Mitochondrial lumenCC462.2E−09
Mitochondrial matrixCC462.2E−09
Ribosomal subunitCC323.5E−09
Ribonucleoprotein complexCC754.8E−09
Mitochondrial inner membraneCC536.1E−09



Transcripts positively correlated to TGR5 expression
Endoplasmic reticulumCC1355.7E−08
Actin bindingMF540.000023
Cytoskeletal protein bindingMF740.000031
GOLGI apparatusCC1150.000033
LysosomeCC410.00006
Lytic vacuoleCC410.00006
Endoplasmic reticulum partCC540.00067
Endoplasmic reticulum lumenCC210.00078
VacuoleCC420.0014
Actin cytoskeleton organizationBP390.0019
Cortical cytoskeletonCC150.0019
Actin filament-based processBP410.0023
Cell cortexCC280.0023
Proteinaceous extracellular matrixCC480.0023
Extracellular matrix partCC240.0027

CC = cellular component; BP = biological process; MF = molecular function.

Number of correlated transcripts included in the specific GO term.

The table displays the top 15 enriched GO terms based on the adjusted p-value (Benjamini).

TGR5 adipose tissue expression and energy expenditure

Since mitochondria play an important role in energy expenditure and nutrient combustion, we next investigated the relation between adipose tissue TGR5 expression and resting metabolic rate (RMR) in the Sib Pair study. Unexpectedly, given the negative correlation to mitochondrial genes, TGR5 expression was positively correlated with RMR (r = 0.25, p < 0.0001). In a model including age, polynomials of age, sex, lean body mass, generation and family membership, the statistical significance of this correlation persisted. Brown adipocytes have, in comparison to white adipocytes, substantially more mitochondria. In mice TGR5 has been shown to be expressed in brown adipose tissue (BAT) and treatment of brown adipocytes with bile acids has been shown to increase oxygen expenditure via TGR5-mediarted activation of DIO2 in BAT [3]. The expression of TGR5 was therefore investigated in two sets of human adipose tissue samples (the perithyriod and the perirenal adipose tissue studies) containing islets of BAT (BAT+) and compared to expression in white adipose tissue. However, no significant difference in TGR5 expression was observed between the BAT containing samples and white adipose tissue (Fig. 2A and B).
Fig. 2

TGR5 gene expression in human brown and white adipose tissue. (A) TGR5 expression in BAT containing (BAT+) perithyroid adipose tissue and paired subcutaneous white adipose tissue (s.c. WAT, n = 9). (B) TGR5 expression in perirenal adipose tissue containing BAT (BAT+, n = 10) or only containing white adipose tissue (BAT−, n = 10). Data is presented as mean microarray signal ± SEM. n.s. = not significant. Note: the different signal values are due to different microarray types.

Discussion

In this study, we have characterized the gene expression of TGR5 in human adipose tissue. Our main findings are that TGR5 adipose tissue expression is reduced during weight loss, and that it is positively correlated with obesity as well as with resting metabolic rate. Our results clearly show that TGR5 expression in adipose tissue is regulated in a manner that supports a functional metabolic role for TGR5 in adipose tissue. However, our results are not easily reconciled with the results from the studies of mice treated with bile acids [3]. Whereas mice treated with bile acids lose weight, high human adipose tissue TGR5 expression is associated with obesity. In addition, the mice studies also show that the mitochondria rich BAT is a major target organ for the effects of bile acids whereas we show a negative correlation of TGR5 to the expression of mitochondrial genes in white adipose tissue. In the light of this, it is not unthinkable that the up regulation of TGR5 in human adipose tissue can be viewed as compensatory mechanism to prevent adipose tissue growth. However, one has to consider that regulation studies in one single organ may not capture the more complex regulation of the entire body and that receptor gene or protein expression cannot directly be translated to the amount of receptor signaling. Expression analysis in human brown fat depots is challenging because, in contrast to mouse, human BAT represents a much smaller fraction of adipose tissue and is usually not located in distinct depots but rather as islets within the white adipose tissue [9,14]. Only the expression of a very limited number of genes has been investigated in human BAT [9,15,16]. Our analysis of TGR5 expression in human BAT-containing adipose tissue samples provide no evidence that TGR5 is expressed at higher levels in human BAT compared to WAT. This together with the limited amount of BAT in humans speaks against that the observed association between TGR5 adipose tissue expression and RMR is related to human BAT. A more likely scenario is that TGR5 expression in adipose tissue is co regulated with the TGR5 expression in other metabolically more active organs such as skeletal muscle or that it is related to adipose tissue thermogenesis not involving BAT. The correlation between adipose tissue TGR5 expression and RMR is well in line with the down-regulation of TGR5 during the diet intervention, a situation where RMR is reduced [17]. Interestingly, the drastic reduction of TGR5 expression seen already after 2 weeks preceded the maximal weight loss which occurred at week 12 [8]. This indicates that TGR5 expression in adipose tissue is regulated by energy intake or metabolic rate rather than the level of obesity. One study has shown that human plasma levels of bile acids are not associated with energy metabolism [18], indicating that if these systems play an important role in human energy expenditure future research should probably be directed at the receptor level. Obesity represents an independent cardiovascular risk factor [19]. In addition to its metabolic role, TGR5 has recently been directly implicated in the development of atherosclerosis. Activation of TGR5 in mice was associated with attenuation of atherosclerosis by means of decreased pro-inflammatory cytokine production and reduced oxidized LDL uptake in macrophages [20]. These findings are of particular interest to our study since adipose tissue is a major source of circulating pro-inflammatory cytokines. However, the relative contribution of the adipose tissue TGR5 expression by adipocytes and macrophages is currently unknown. In conclusion, we have shown that adipose tissue expression of human TGR5 is reduced during weight loss, and positively correlates to obesity as well as to resting metabolic rate, indicating a functional metabolic role for TGR5 in adipose tissue. However, more studies are needed to specifically define this role.
  20 in total

1.  Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources.

Authors:  Da Wei Huang; Brad T Sherman; Richard A Lempicki
Journal:  Nat Protoc       Date:  2009       Impact factor: 13.491

2.  Identification of membrane-type receptor for bile acids (M-BAR).

Authors:  Takaharu Maruyama; Yasuhisa Miyamoto; Takao Nakamura; Yoshitaka Tamai; Hiromasa Okada; Eiji Sugiyama; Tatsuji Nakamura; Hiraku Itadani; Kenichi Tanaka
Journal:  Biochem Biophys Res Commun       Date:  2002-11-15       Impact factor: 3.575

3.  Gene expression in human brown adipose tissue.

Authors:  Per-Arne Svensson; Margareta Jernås; Kajsa Sjöholm; Jenny M Hoffmann; Bengt E Nilsson; Magnus Hansson; Lena M S Carlsson
Journal:  Int J Mol Med       Date:  2010-12-01       Impact factor: 4.101

4.  TGR5 activation inhibits atherosclerosis by reducing macrophage inflammation and lipid loading.

Authors:  Thijs W H Pols; Mitsunori Nomura; Taoufiq Harach; Giuseppe Lo Sasso; Maaike H Oosterveer; Charles Thomas; Giovanni Rizzo; Antimo Gioiello; Luciano Adorini; Roberto Pellicciari; Johan Auwerx; Kristina Schoonjans
Journal:  Cell Metab       Date:  2011-12-07       Impact factor: 27.287

Review 5.  Factors determining energy expenditure during very-low-calorie diets.

Authors:  L F Van Gaal; G A Vansant; I H De Leeuw
Journal:  Am J Clin Nutr       Date:  1992-07       Impact factor: 7.045

6.  Bile acids induce energy expenditure by promoting intracellular thyroid hormone activation.

Authors:  Mitsuhiro Watanabe; Sander M Houten; Chikage Mataki; Marcelo A Christoffolete; Brian W Kim; Hiroyuki Sato; Nadia Messaddeq; John W Harney; Osamu Ezaki; Tatsuhiko Kodama; Kristina Schoonjans; Antonio C Bianco; Johan Auwerx
Journal:  Nature       Date:  2006-01-08       Impact factor: 49.962

Review 7.  The Farnesoid X receptor: a molecular link between bile acid and lipid and glucose metabolism.

Authors:  Thierry Claudel; Bart Staels; Folkert Kuipers
Journal:  Arterioscler Thromb Vasc Biol       Date:  2005-07-21       Impact factor: 8.311

8.  Cell death-inducing DFF45-like effector C is reduced by caloric restriction and regulates adipocyte lipid metabolism.

Authors:  Björn Magnusson; Anders Gummesson; Camilla A M Glad; Julia H Goedecke; Margareta Jernås; Theodore C Lystig; Björn Carlsson; Björn Fagerberg; Lena M S Carlsson; Per-Arne Svensson
Journal:  Metabolism       Date:  2008-09       Impact factor: 8.694

9.  Obesity as an independent risk factor for cardiovascular disease: a 26-year follow-up of participants in the Framingham Heart Study.

Authors:  H B Hubert; M Feinleib; P M McNamara; W P Castelli
Journal:  Circulation       Date:  1983-05       Impact factor: 29.690

10.  Plasma bile acids are not associated with energy metabolism in humans.

Authors:  Gemma Brufau; Matthias J Bahr; Bart Staels; Thierry Claudel; Johann Ockenga; Klaus Hw Böker; Elizabeth J Murphy; Kris Prado; Frans Stellaard; Michael P Manns; Folkert Kuipers; Uwe Jf Tietge
Journal:  Nutr Metab (Lond)       Date:  2010-09-03       Impact factor: 4.169

View more
  19 in total

1.  Obesity diabetes and the role of bile acids in metabolism.

Authors:  Gerald H Tomkin; Daphne Owens
Journal:  J Transl Int Med       Date:  2016-07-07

Review 2.  Bile acid receptors FXR and TGR5 signaling in fatty liver diseases and therapy.

Authors:  John Y L Chiang; Jessica M Ferrell
Journal:  Am J Physiol Gastrointest Liver Physiol       Date:  2020-01-27       Impact factor: 4.052

Review 3.  Changes in Bile Acid Metabolism, Transport, and Signaling as Central Drivers for Metabolic Improvements After Bariatric Surgery.

Authors:  Matthew G Browning; Bernardo M Pessoa; Jad Khoraki; Guilherme M Campos
Journal:  Curr Obes Rep       Date:  2019-06

Review 4.  Bile acids and bariatric surgery.

Authors:  Vance L Albaugh; Babak Banan; Hana Ajouz; Naji N Abumrad; Charles R Flynn
Journal:  Mol Aspects Med       Date:  2017-04-17

Review 5.  Beyond intestinal soap--bile acids in metabolic control.

Authors:  Folkert Kuipers; Vincent W Bloks; Albert K Groen
Journal:  Nat Rev Endocrinol       Date:  2014-05-13       Impact factor: 43.330

Review 6.  Thyroid hormone regulation of metabolism.

Authors:  Rashmi Mullur; Yan-Yun Liu; Gregory A Brent
Journal:  Physiol Rev       Date:  2014-04       Impact factor: 37.312

Review 7.  Vitamin D and energy homeostasis: of mice and men.

Authors:  Roger Bouillon; Geert Carmeliet; Liesbet Lieben; Mitsuhiro Watanabe; Alessia Perino; Johan Auwerx; Kristina Schoonjans; Annemieke Verstuyf
Journal:  Nat Rev Endocrinol       Date:  2013-11-19       Impact factor: 43.330

8.  Bile diversion to the distal small intestine has comparable metabolic benefits to bariatric surgery.

Authors:  Charles Robb Flynn; Vance L Albaugh; Steven Cai; Joyce Cheung-Flynn; Phillip E Williams; Robert M Brucker; Seth R Bordenstein; Yan Guo; David H Wasserman; Naji N Abumrad
Journal:  Nat Commun       Date:  2015-07-21       Impact factor: 14.919

9.  Plasma bile acids show a positive correlation with body mass index and are negatively associated with cognitive restraint of eating in obese patients.

Authors:  Philip Prinz; Tobias Hofmann; Anne Ahnis; Ulf Elbelt; Miriam Goebel-Stengel; Burghard F Klapp; Matthias Rose; Andreas Stengel
Journal:  Front Neurosci       Date:  2015-06-03       Impact factor: 4.677

Review 10.  Bile Acids, Their Receptors, and the Gut Microbiota.

Authors:  James C Poland; C Robb Flynn
Journal:  Physiology (Bethesda)       Date:  2021-07-01
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.