Literature DB >> 31564937

Effects of liraglutide on lipolysis and the AC3/PKA/HSL pathway.

Zhengming Li1, Pijian Yang2, Yuzhen Liang1, Ning Xia2, Yingrong Li1, Hongye Su1, Hailin Pan1.   

Abstract

BACKGROUND: Liraglutide reduces blood glucose, body weight and blood lipid levels. Hormone-sensitive lipase (HSL) is a key enzyme in lipolysis. Evidence from our and other studies have demonstrated that adenylate cyclase 3 (AC3) is associated with obesity and can be upregulated by liraglutide in obese mice. In the present study, we investigated whether hepatic HSL activity is regulated by liraglutide and characterized the effect of liraglutide in the AC3/protein kinase A (PKA)/HSL signalling pathway.
METHODS: Obese mice or their lean littermates were treated with liraglutide or saline for 8 weeks. Serum was collected for the measurement of insulin and lipids. We investigated hepatic AC3, HSL and phosphorylated HSL Ser-660 (p-HSL(S660)) protein expression levels andAC3 and HSL mRNA expression levels and cyclic adenosine monophosphate (cAMP), PKA activity in liver tissue.
RESULTS: Liraglutide treatment decreased triglycerides (TGs) and free fatty acids (FFAs), increased glycerol, and upregulated hepatic AC3 and p-HSL(s660) levels and cAMP and PKA activities.
CONCLUSION: The results suggest that liraglutide can upregulates AC3/PKA/HSL pathway and may promotes lipolysis.
© 2019 Li et al.

Entities:  

Keywords:  adenylate cyclase 3; hormone-sensitive lipase; lipolysis; liraglutide; obesity

Year:  2019        PMID: 31564937      PMCID: PMC6732560          DOI: 10.2147/DMSO.S216455

Source DB:  PubMed          Journal:  Diabetes Metab Syndr Obes        ISSN: 1178-7007            Impact factor:   3.168


Introduction

In recent years, as the proportion of obese people in the world’s population has grown rapidly, it has attracted more and more attention. A key feature of obesity is excessive lipid accumulation in adipose tissue and ectopic localizations (especially liver and muscle).1 Liraglutide treatment can augment weight loss and improve blood lipid levels.2–5 Lipolysis is considered to be the process of hydrolysis of triglycerides (TGs) to free fatty acids (FFAs) and glycerin. Hormone-sensitive lipase (HSL) in adipose tissue has been suggested to be a key regulatory enzym in controlling lipolysis.6 Endogenous glucagon-like peptide 1 (GLP-1) binds to and activates the glucagon-like peptide 1 receptor (GLP-1R). Upon its activation, GLP-1R stimulates adenylate cyclase (AC) to promote cAMP production,7 leading to activation of protein kinase (PKA).8 Activated PKA phosphorylates hormone-sensitive lipase (p-HSL).9–11 AC3 is a member of the ACs family, genome-wide association studies studies suggest that obesity-related genes are located on or near the AC3 gene.12–15 In both Swedish and Han Chinese populations, additional genetic evidence supports that single nucleotide variation of AC3 gene was found to be closely related to obesity.16,17 It is also emphasized in animal models that AC3 signalling plays an important role in maintaining energy homeostasis, AC3 mutation can protect mice from diet-induced obesity. Adult weight of AC3 knockout mice is significantly higher than that of wild-type mice. It is also found that TG of AC3 knockout mice is increased, and the fat mass of epididymal adipocytes of AC3 knockout mice is more than that of control mice.18 Our previous studies have shown that liraglutide can upregulate hepatic GLP-1R and AC3 levels in obese mice, and the levels of AC3 were negatively correlated with body weight.19,20 Thus, we hypothesize that liraglutide treatment can enhance lipolysis and affect the AC3-cAMP-PKA-HSL signalling pathway. To test our hypothesis, we employed an obese mouse model in which C57BL/6J mice were fed a high-fat diet (HFD). TGs, glycerol, FFA in serum and PKA activity were analysed in the liver, and the expression levels of proteins associated with lipolysis were determined in liver. The results of this study will increase our knowledge of the effect of liraglutide on lipolysis, leading to a more comprehensive understanding of the mechanisms underlying the physiological actions of liraglutide on obesity.

Materials and methods

Animal husbandry and analytic procedures

4-week-old C57BL/6J mice (male) were purchased from the Medical Laboratory Animal Centre of Guangzhou Province (Guangzhou, China). The experimental mice were maintained at the Animal Experiment Centre of Guangxi Medical University. The experimental mice were maintained in a specific pathogen-free (SPF) room with a 12-h light/dark cycle. In the first week, all mice were fed with a normal rodent chow diet (5% fat wt/wt). After then, the mice were randomly divided into two groups. ie N group: the mice fed with a normal chow diet (5% fat wt/wt) and O group: the mice fed with HFD (34.9% fat wt/wt). Body weight (BW) and blood glucose of all experimental mice were observed and recorded at the same time every week. Mice with fasting blood glucose (FBG) levels >16.7 mmol/L were considered to be diabetic.21 Mice with BW that exceeded normal weight by at least 20% were considered obese. After 12 weeks of chow diet or HFD feeding, the obese mouse model was successfully established, all mice were divided into the following four groups: N + saline (N + S), N + liraglutide (N + L), O + saline (O + S) and O + liraglutide (O + L). In N + L and O + L groups, liraglutide was injected subcutaneously at a dose of 0.1 mg/kg/12 h. N + S and O + S groups were subcutaneously injected with the same volume of saline as controls. After 8 weeks of treatment, the experimental mice were fasted overnight and anaesthetized with sodium pentobarbital (50 mg/kg, i.p.). The blood was obtained through the angular vein and centrifuged by a 4 °C centrifuge to separate the serum, which was stored at −20 °C. At the same time, the liver was dissected immediately and frozen in liquid nitrogen, then transferred to −80 °C refrigerator for preservation until analysis. All animal experiments and care procedures were conducted under the Guidelines of the Animal Ethics Committee of First Affiliated Hospital of Guangxi Medical University (the National Standard GB/T35892-2018 of the People’s Republic of China). The Animal Ethics Committee of First Affiliated Hospital of Guangxi Medical University also approved this study. Liraglutide was kindly provided by Novo Nordisk (Bagsvaerd, Denmark).

Biochemical analysis of serum and liver

The mouse TGs, glycerol, FFA and insulin ELISA kit (Shanghai JiNing Industrial Co., Ltd., China) was used to measure serum TGs, glycerol, FFA and insulin levels . Liver samples were prepared according to the instructions provided. A PKA Kinase Assay Kit (Enzo Life Sciences Inc. USA) was used to measure PKA activity in liver samples. A glucose meter (Johnson & Johnson, New Brunswick, NJ, USA) was used to measure blood glucose levels. The HOMA-IR was used to assess IR. The HOMA-IR score was calculated as [fasting insulin (mU l−1) × fasting glucose (mmol l−1)]/22.5.22

Real-time reverse transcription-PCR

Total RNAs in liver were extracted, and a Thermo Reverse Transcriptase Kit (Thermo Scientific, Waltham, MA, USA) was used to synthesize cDNA. Quantitative real-time PCR was performed using FastStart Universal SYBR Green Master (ROX) (Roche Diagnostics, Indianapolis, IN, USA) on an Applied Biosystems StepOnePlus Real-Time PCR System (Thermo Fisher Scientific, Foster City, CA, USA). The primers included the following: AC3 forward primer (5′-GGACACGCTCACAAACATC-3′) and reverse primer (5′-GCCACATTGACCGTATTGC-3′). HSL forward primer (5′- TCCTGGAACTAAGTGGACGCAAG-3′) and reverse primer (5′-CAGACACACTCCTGCGCATAGAC-3′), The glyceraldehyde 3-phosphatedehydrogenase (gapdh) was used as the internal control. Gapdh forward primer (5′-TGTGTCCGTCGTGGATCTGA-3′) and reverse primer (5′-TTGCTGTTGAAGTCGCAGGAG-3′). The relative copy number was calculated using the threshold crossing point (Ct) as calculated by the LightCycler software combined with the ∆∆Ct calculations.

Western blotting

Western blot analyses were performed as previously described.23 The primary antibodies included antibodies against the AC3 (1:1000; Sigma-Aldrich Co., LLC., China), cAMP (1:500; Abnova Co., Inc., USA), HSL (1:500; Bioworld Technology Co., Ltd., China) and phosphorylated-HSL Ser660 (p-HSL(S660)) (1:500; Cell Signal Technology Inc., USA). Horseradish peroxidase-conjugated goat anti-rabbit lgG was used as the secondary antibody. The membranes were scanned with the Odyssey infrared imaging system (LICOR Biosciences).

Statistical analysis

Quantitative values are shown as the means ± SD. Comparisons were performed using Student’s t-test, the one-way analysis of variance (ANOVA) or a factorial analysis, where appropriate. In all cases involving the use of Student’s t-test, one-way ANOVA analysis or factorial analysis, a homogeneity of variance test was applied. Values of p<0.05 were considered statistically significant. All analyses were performed using SPSS 17.0 (Chicago, IL, USA).

Results

Effects of liraglutide on the general condition and metabolism of the mice

BW, FBG, HOMA-IR, and the serum levels of TGs, glycerol, FFA were to evaluate the metabolic response of liraglutide in mice. Mice in the N group exhibited significantly reduced BW compared with mice in the O group (Table 1). FBG levels were elevated in the O group relative to those in the N group (Table 1). Factorial analysis showed that BW and HOMA-IR scores were significantly different between normal control mice and obese mice, and there were significant differences between liraglutide-treated mice and saline-treated mice (Table 2). There was no significant difference in FBG between normal control group and obesity group, nor between liraglutide-treated mice and saline-treated mice (Table 2). The serum levels of TGs, glycerol and FFA were significantly higher in obese mice than in normal control mice (Table 2). The liraglutide treatment significantly decreased the serum levels of TGs, FFA and significantly increased serum glycerol levels (Table 2).
Table 1

Body weights and fasting blood glucose levels of mice before liraglutide treatment

Body Weight (g)Fasting Blood Glucose (mmol/L)
Normal Control Group27.6±1.346.37±1.03
Obese Group33.25±2.81**9.9±2.21**

Notes: Values are means ± SD (n=12 per group). Student’s t-test was used to analyse differences. **Statistically significant difference, p<0.01.

Table 2

Serum metabolic parameters of mice after treatment with liraglutide or saline

N + SN + LO + SO + L
Body Weight (g)27.70±1.4926.2±1.49**31.98±2.47##27.1±1.52**#
FBG (mmol/L)6.33±1.246.9±1.227.48±1.426.10±0.97
insulin (mLU/L)6.94±0.475.42±0.98**11.52±0.94##6.30±0.74**##
HOMA-IR1.98±0.491.69±0.53**3.84±0.84##1.69±0.23**##
TGs22.92±3.1911.28±3.09**32.29±1.75##16.21±1.76**##
Glycerol52.94±4.0660.53±6.77**66.51±9.87##115.00±9.34**,##
FFA498.53±75.22301.85±70.80**1151.73±33.93##619.56±100.26**,##

Notes: Values are means ± SD (n=6 per group). A 2×2 factorial analysis was used to analyse differences. The p-value of the interaction between obesity and liraglutide treatment for body weight, fasting blood glucose, HOMA-IR, TG, glycerol and FFA are 0.030, 0.065, 0.000, 0.001, 0.016, 0.000 and 0.000, respectively. Between saline and liraglutide, **p<0.01; between normal and obese, #p<0.05, ##p<0.01.

Body weights and fasting blood glucose levels of mice before liraglutide treatment Notes: Values are means ± SD (n=12 per group). Student’s t-test was used to analyse differences. **Statistically significant difference, p<0.01. Serum metabolic parameters of mice after treatment with liraglutide or saline Notes: Values are means ± SD (n=6 per group). A 2×2 factorial analysis was used to analyse differences. The p-value of the interaction between obesity and liraglutide treatment for body weight, fasting blood glucose, HOMA-IR, TG, glycerol and FFA are 0.030, 0.065, 0.000, 0.001, 0.016, 0.000 and 0.000, respectively. Between saline and liraglutide, **p<0.01; between normal and obese, #p<0.05, ##p<0.01.

Effects of liraglutide on hepatic AC3, HSL, p-HSL(S660), and cAMP levels in mice

We examined AC3, HSL, p-HSL(S660) protein levels and AC3, HSL mRNA levels and cAMP levels in liver tissue; the results are summarized in Figures 1 and 2. The hepatic levels of AC3 and p-HSL(S660) protein andAC3 mRNA and cAMP were significantly different between normal control mice and obese mice. The hepatic levels of AC3 and p-HSL(S660) protein and AC3 mRNA and cAMP were lower in obese mice than in normal control mice. No significant differences in HSL protein and HSL mRNA levels were observed between normal control mice and obese mice. Liraglutide treatment significantly increased hepatic AC3, p-HSL(S660) and cAMP levels but not HSL protein and mRNA levels in normal contol and obese mice. The increase of hepatic AC3, p-HSL(S660) and cAMP levels in obese mice were more obviously.
Figure 1

AC3, hormone-sensitive lipase (HSL) and p-HSL(S660) expression at the protein levels and cAMP levels in the liver after treatment with liraglutide or saline. Values are means ± SD (n=6 per group). A 2×2 factorial analysis was used to analyse differences. (A–D) present the levels of AC3 protein, cAMP, HSL protein and p-HSL(S660) protein, respectively, in the liver tissues of mice after treatment with liraglutide or saline. The P-value of the interaction between obesity and liraglutide treatment for AC3 protein, cAMP, HSL protein and p-HSL(S660) protein levels in the livers are 0.049, 0.044, 0.354 and 0.049, respectively. (E) Western blots show hepatic AC3, cAMP, HSL and p-HSL (S660) levels.

Notes: between saline and liraglutide, *p<0.05, **p<0.01; between normal and obese, #p<0.05, ##p<0.01.

Figure 2

AC3 and hormone-sensitive lipase (HSL) expression at the mRNA level in the liver after treatment with liraglutide or saline. Values are means ± SD (n=6 per group). A 2×2 factorial analysis was used to analyse differences. Panels (A) and (B) present the levels of AC3 mRNA and HSL mRNA, respectively, in the liver tissues of mice after treatment with liraglutide or saline. The P-value of the interaction between obesity and liraglutide treatment for AC3 mRNA and HSL mRNA levels in the livers are 0.030 and 0.958, respectively.

Notes: Between saline and liraglutide, **p<0.01; between normal and obese, ##p<0.01.

AC3, hormone-sensitive lipase (HSL) and p-HSL(S660) expression at the protein levels and cAMP levels in the liver after treatment with liraglutide or saline. Values are means ± SD (n=6 per group). A 2×2 factorial analysis was used to analyse differences. (A–D) present the levels of AC3 protein, cAMP, HSL protein and p-HSL(S660) protein, respectively, in the liver tissues of mice after treatment with liraglutide or saline. The P-value of the interaction between obesity and liraglutide treatment for AC3 protein, cAMP, HSL protein and p-HSL(S660) protein levels in the livers are 0.049, 0.044, 0.354 and 0.049, respectively. (E) Western blots show hepatic AC3, cAMP, HSL and p-HSL (S660) levels. Notes: between saline and liraglutide, *p<0.05, **p<0.01; between normal and obese, #p<0.05, ##p<0.01. AC3 and hormone-sensitive lipase (HSL) expression at the mRNA level in the liver after treatment with liraglutide or saline. Values are means ± SD (n=6 per group). A 2×2 factorial analysis was used to analyse differences. Panels (A) and (B) present the levels of AC3 mRNA and HSL mRNA, respectively, in the liver tissues of mice after treatment with liraglutide or saline. The P-value of the interaction between obesity and liraglutide treatment for AC3 mRNA and HSL mRNA levels in the livers are 0.030 and 0.958, respectively. Notes: Between saline and liraglutide, **p<0.01; between normal and obese, ##p<0.01.

Effects of liraglutide on hepatic PKA activity levels

Liver PKA activity was significantly higher in normal control mice than in obese mice (Figure 3). Liraglutide treatment significantly increased liver PKA activity in normal control and obese mice (Figure 3).The increase in obese mice was more obviously.
Figure 3

Protein kinase A (PKA) activity in the liver after treatment with liraglutide. Values are means ± SD (n=6 per group). A 2×2 factorial analysis was used to analyse differences. The p-value of the interaction between obesity and liraglutide treatment in PKA activity is 0.014.

Notes: Between saline and liraglutide, **p<0.01; between normal and obese, ##p<0.01.

Protein kinase A (PKA) activity in the liver after treatment with liraglutide. Values are means ± SD (n=6 per group). A 2×2 factorial analysis was used to analyse differences. The p-value of the interaction between obesity and liraglutide treatment in PKA activity is 0.014. Notes: Between saline and liraglutide, **p<0.01; between normal and obese, ##p<0.01.

Discussion

In this study, obesity in mice was induced by a high-fat diet. We found that treatment with liraglutide decreased the BW and HOMA-IR index in obese mice and normal control mice, though the decreases were stronger in obese mice. Our data showed that the serum levels of TGs, glycerol and FFA were significantly higher in obese mice than in normal control mice. Liraglutide treatment significantly decreased serum levels of TGs and FFA, and significantly increased serum glycerol levels. It has been repeatedly demonstrated that liraglutide can reduce TG and FFA levels.2–5,24 Lipolysis is the process by which TGs are hydrolysed to FFAs and glycerol. Lipolysis was determined by assaying FFA and glycerol levels.25 Many studies have demonstrated that excessive FFAs play a pivotal role in insulin resistance.26–28 Our data show that liraglutide treatment decreased serum TGs and FFAs and increased serum glycerol. The decrease in TGs and the increase in glycerol indicated that liraglutide treatment promoted lipolysis. The decrease in FFAs is likely due to liraglutide increasing FFA uptake and increasing the oxidation rate of FFAs. Mells, Fu, Sharma, etc.29 found that liraglutide treatment significantly increased the mRNA and protein levels of genes related to fatty acid uptake and peroxisomal β-oxidation. GLP-1 has been reported to reduce hepatic steatosis in animal models of non-alcoholic fatty liver disease (NAFLD).29–31 The mechanism underlying this effect of GLP-1 is not completely understood. Earlier studies have suggested that exenatide (exendine-4) had direct effects on the liver by enhancing lipid hydrolysis and oxidation.31,32 The mechanism by which liraglutide promotes lipolysis is not completely understood. Our previous study showed that liraglutide treatment upregulated GLP-1R and AC3 and that AC3 gene expression was negatively correlated with BW, HOMA-IR and the area ratio of hepatic fat deposition in the liver.19,20 We hypothesized that liraglutide treatment could enhance lipolysis and upregulate the AC3-cAMP-PKA-HSL pathway. Phosphorylation of HSL at Ser660 is critical for activation of the protein’s intrinsic enzymatic activity.33 Therefore, we compared the protein expression levels of hepaticAC3, HSL and p-HSL(S660), and the mRNA expression levels of AC3 and HSL, and cAMP levels and PKA activity in livers of obese and normal control mice with and without liraglutide treatment. We observed that the protein and mRNA expression of hepatic AC3 and the cAMP levels and PKA activity were significantly difference in obese mice than in normal control mice, and the protein and mRNA expression of hepatic AC3 and the cAMP levels and PKA activity were increased after liraglutide treatment in obese mice and in normal control mice. The increase in obese mice was more obviously. Liraglutide treatment did not affect HSL protein and mRNA expression, and hepatic HSL expression was not different between obese and normal control mice. Although total HSL expression was not affected, p-HSL(S660) was significantly increased by liraglutide treatment. Human genetic and animal models indicate that AC3 may play an important role in energy homeostasis. Our previous study data provide evidence that supports this concept.19,20 In this present study, AC3 was also upregulated by liraglutide treatment, and the increase in AC3 was paralleled by increases in cAMP, PKA activity and p-HSL(S660). Whether AC3 is the key regulator of this pathway remains to be investigated in future studies.

Conclusion

In this study, we found that liraglutide treatment decreased TGs and increased glycerol. Liraglutide treatment upregulated AC3 and p-HSL(S660) levels and cAMP and PKA activities in liver. Thus, we conclude that liraglutide can upregulate the AC3/PKA/HSL pathway and may promote lipolysis.
  33 in total

1.  Identification of novel phosphorylation sites in hormone-sensitive lipase that are phosphorylated in response to isoproterenol and govern activation properties in vitro.

Authors:  M W Anthonsen; L Rönnstrand; C Wernstedt; E Degerman; C Holm
Journal:  J Biol Chem       Date:  1998-01-02       Impact factor: 5.157

2.  Adult type 3 adenylyl cyclase-deficient mice are obese.

Authors:  Zhenshan Wang; Vicky Li; Guy C K Chan; Trongha Phan; Aaron S Nudelman; Zhengui Xia; Daniel R Storm
Journal:  PLoS One       Date:  2009-09-11       Impact factor: 3.240

3.  Liraglutide suppresses postprandial triglyceride and apolipoprotein B48 elevations after a fat-rich meal in patients with type 2 diabetes: a randomized, double-blind, placebo-controlled, cross-over trial.

Authors:  K Hermansen; T A Bækdal; M Düring; A Pietraszek; L S Mortensen; H Jørgensen; A Flint
Journal:  Diabetes Obes Metab       Date:  2013-06-11       Impact factor: 6.577

Review 4.  Hormone-sensitive lipase: control of intracellular tri-(di-)acylglycerol and cholesteryl ester hydrolysis.

Authors:  Fredric B Kraemer; Wen-Jun Shen
Journal:  J Lipid Res       Date:  2002-10       Impact factor: 5.922

Review 5.  GLP-1 receptor signaling: effects on pancreatic beta-cell proliferation and survival.

Authors:  J Buteau
Journal:  Diabetes Metab       Date:  2008-02       Impact factor: 6.041

6.  Genome-wide association and longitudinal analyses reveal genetic loci linking pubertal height growth, pubertal timing and childhood adiposity.

Authors:  Diana L Cousminer; Diane J Berry; Nicholas J Timpson; Wei Ang; Elisabeth Thiering; Enda M Byrne; H Rob Taal; Ville Huikari; Jonathan P Bradfield; Marjan Kerkhof; Maria M Groen-Blokhuis; Eskil Kreiner-Møller; Marcella Marinelli; Claus Holst; Jaakko T Leinonen; John R B Perry; Ida Surakka; Olli Pietiläinen; Johannes Kettunen; Verneri Anttila; Marika Kaakinen; Ulla Sovio; Anneli Pouta; Shikta Das; Vasiliki Lagou; Chris Power; Inga Prokopenko; David M Evans; John P Kemp; Beate St Pourcain; Susan Ring; Aarno Palotie; Eero Kajantie; Clive Osmond; Terho Lehtimäki; Jorma S Viikari; Mika Kähönen; Nicole M Warrington; Stephen J Lye; Lyle J Palmer; Carla M T Tiesler; Claudia Flexeder; Grant W Montgomery; Sarah E Medland; Albert Hofman; Hakon Hakonarson; Mònica Guxens; Meike Bartels; Veikko Salomaa; Joanne M Murabito; Jaakko Kaprio; Thorkild I A Sørensen; Ferran Ballester; Hans Bisgaard; Dorret I Boomsma; Gerard H Koppelman; Struan F A Grant; Vincent W V Jaddoe; Nicholas G Martin; Joachim Heinrich; Craig E Pennell; Olli T Raitakari; Johan G Eriksson; George Davey Smith; Elina Hyppönen; Marjo-Riitta Järvelin; Mark I McCarthy; Samuli Ripatti; Elisabeth Widén
Journal:  Hum Mol Genet       Date:  2013-02-27       Impact factor: 6.150

7.  Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index.

Authors:  Elizabeth K Speliotes; Cristen J Willer; Sonja I Berndt; Keri L Monda; Gudmar Thorleifsson; Anne U Jackson; Hana Lango Allen; Cecilia M Lindgren; Jian'an Luan; Reedik Mägi; Joshua C Randall; Sailaja Vedantam; Thomas W Winkler; Lu Qi; Tsegaselassie Workalemahu; Iris M Heid; Valgerdur Steinthorsdottir; Heather M Stringham; Michael N Weedon; Eleanor Wheeler; Andrew R Wood; Teresa Ferreira; Robert J Weyant; Ayellet V Segrè; Karol Estrada; Liming Liang; James Nemesh; Ju-Hyun Park; Stefan Gustafsson; Tuomas O Kilpeläinen; Jian Yang; Nabila Bouatia-Naji; Tõnu Esko; Mary F Feitosa; Zoltán Kutalik; Massimo Mangino; Soumya Raychaudhuri; Andre Scherag; Albert Vernon Smith; Ryan Welch; Jing Hua Zhao; Katja K Aben; Devin M Absher; Najaf Amin; Anna L Dixon; Eva Fisher; Nicole L Glazer; Michael E Goddard; Nancy L Heard-Costa; Volker Hoesel; Jouke-Jan Hottenga; Asa Johansson; Toby Johnson; Shamika Ketkar; Claudia Lamina; Shengxu Li; Miriam F Moffatt; Richard H Myers; Narisu Narisu; John R B Perry; Marjolein J Peters; Michael Preuss; Samuli Ripatti; Fernando Rivadeneira; Camilla Sandholt; Laura J Scott; Nicholas J Timpson; Jonathan P Tyrer; Sophie van Wingerden; Richard M Watanabe; Charles C White; Fredrik Wiklund; Christina Barlassina; Daniel I Chasman; Matthew N Cooper; John-Olov Jansson; Robert W Lawrence; Niina Pellikka; Inga Prokopenko; Jianxin Shi; Elisabeth Thiering; Helene Alavere; Maria T S Alibrandi; Peter Almgren; Alice M Arnold; Thor Aspelund; Larry D Atwood; Beverley Balkau; Anthony J Balmforth; Amanda J Bennett; Yoav Ben-Shlomo; Richard N Bergman; Sven Bergmann; Heike Biebermann; Alexandra I F Blakemore; Tanja Boes; Lori L Bonnycastle; Stefan R Bornstein; Morris J Brown; Thomas A Buchanan; Fabio Busonero; Harry Campbell; Francesco P Cappuccio; Christine Cavalcanti-Proença; Yii-Der Ida Chen; Chih-Mei Chen; Peter S Chines; Robert Clarke; Lachlan Coin; John Connell; Ian N M Day; Martin den Heijer; Jubao Duan; Shah Ebrahim; Paul Elliott; Roberto Elosua; Gudny Eiriksdottir; Michael R Erdos; Johan G Eriksson; Maurizio F Facheris; Stephan B Felix; Pamela Fischer-Posovszky; Aaron R Folsom; Nele Friedrich; Nelson B Freimer; Mao Fu; Stefan Gaget; Pablo V Gejman; Eco J C Geus; Christian Gieger; Anette P Gjesing; Anuj Goel; Philippe Goyette; Harald Grallert; Jürgen Grässler; Danielle M Greenawalt; Christopher J Groves; Vilmundur Gudnason; Candace Guiducci; Anna-Liisa Hartikainen; Neelam Hassanali; Alistair S Hall; Aki S Havulinna; Caroline Hayward; Andrew C Heath; Christian Hengstenberg; Andrew A Hicks; Anke Hinney; Albert Hofman; Georg Homuth; Jennie Hui; Wilmar Igl; Carlos Iribarren; Bo Isomaa; Kevin B Jacobs; Ivonne Jarick; Elizabeth Jewell; Ulrich John; Torben Jørgensen; Pekka Jousilahti; Antti Jula; Marika Kaakinen; Eero Kajantie; Lee M Kaplan; Sekar Kathiresan; Johannes Kettunen; Leena Kinnunen; Joshua W Knowles; Ivana Kolcic; Inke R König; Seppo Koskinen; Peter Kovacs; Johanna Kuusisto; Peter Kraft; Kirsti Kvaløy; Jaana Laitinen; Olivier Lantieri; Chiara Lanzani; Lenore J Launer; Cecile Lecoeur; Terho Lehtimäki; Guillaume Lettre; Jianjun Liu; Marja-Liisa Lokki; Mattias Lorentzon; Robert N Luben; Barbara Ludwig; Paolo Manunta; Diana Marek; Michel Marre; Nicholas G Martin; Wendy L McArdle; Anne McCarthy; Barbara McKnight; Thomas Meitinger; Olle Melander; David Meyre; Kristian Midthjell; Grant W Montgomery; Mario A Morken; Andrew P Morris; Rosanda Mulic; Julius S Ngwa; Mari Nelis; Matt J Neville; Dale R Nyholt; Christopher J O'Donnell; Stephen O'Rahilly; Ken K Ong; Ben Oostra; Guillaume Paré; Alex N Parker; Markus Perola; Irene Pichler; Kirsi H Pietiläinen; Carl G P Platou; Ozren Polasek; Anneli Pouta; Suzanne Rafelt; Olli Raitakari; Nigel W Rayner; Martin Ridderstråle; Winfried Rief; Aimo Ruokonen; Neil R Robertson; Peter Rzehak; Veikko Salomaa; Alan R Sanders; Manjinder S Sandhu; Serena Sanna; Jouko Saramies; Markku J Savolainen; Susann Scherag; Sabine Schipf; Stefan Schreiber; Heribert Schunkert; Kaisa Silander; Juha Sinisalo; David S Siscovick; Jan H Smit; Nicole Soranzo; Ulla Sovio; Jonathan Stephens; Ida Surakka; Amy J Swift; Mari-Liis Tammesoo; Jean-Claude Tardif; Maris Teder-Laving; Tanya M Teslovich; John R Thompson; Brian Thomson; Anke Tönjes; Tiinamaija Tuomi; Joyce B J van Meurs; Gert-Jan van Ommen; Vincent Vatin; Jorma Viikari; Sophie Visvikis-Siest; Veronique Vitart; Carla I G Vogel; Benjamin F Voight; Lindsay L Waite; Henri Wallaschofski; G Bragi Walters; Elisabeth Widen; Susanna Wiegand; Sarah H Wild; Gonneke Willemsen; Daniel R Witte; Jacqueline C Witteman; Jianfeng Xu; Qunyuan Zhang; Lina Zgaga; Andreas Ziegler; Paavo Zitting; John P Beilby; I Sadaf Farooqi; Johannes Hebebrand; Heikki V Huikuri; Alan L James; Mika Kähönen; Douglas F Levinson; Fabio Macciardi; Markku S Nieminen; Claes Ohlsson; Lyle J Palmer; Paul M Ridker; Michael Stumvoll; Jacques S Beckmann; Heiner Boeing; Eric Boerwinkle; Dorret I Boomsma; Mark J Caulfield; Stephen J Chanock; Francis S Collins; L Adrienne Cupples; George Davey Smith; Jeanette Erdmann; Philippe Froguel; Henrik Grönberg; Ulf Gyllensten; Per Hall; Torben Hansen; Tamara B Harris; Andrew T Hattersley; Richard B Hayes; Joachim Heinrich; Frank B Hu; Kristian Hveem; Thomas Illig; Marjo-Riitta Jarvelin; Jaakko Kaprio; Fredrik Karpe; Kay-Tee Khaw; Lambertus A Kiemeney; Heiko Krude; Markku Laakso; Debbie A Lawlor; Andres Metspalu; Patricia B Munroe; Willem H Ouwehand; Oluf Pedersen; Brenda W Penninx; Annette Peters; Peter P Pramstaller; Thomas Quertermous; Thomas Reinehr; Aila Rissanen; Igor Rudan; Nilesh J Samani; Peter E H Schwarz; Alan R Shuldiner; Timothy D Spector; Jaakko Tuomilehto; Manuela Uda; André Uitterlinden; Timo T Valle; Martin Wabitsch; Gérard Waeber; Nicholas J Wareham; Hugh Watkins; James F Wilson; Alan F Wright; M Carola Zillikens; Nilanjan Chatterjee; Steven A McCarroll; Shaun Purcell; Eric E Schadt; Peter M Visscher; Themistocles L Assimes; Ingrid B Borecki; Panos Deloukas; Caroline S Fox; Leif C Groop; Talin Haritunians; David J Hunter; Robert C Kaplan; Karen L Mohlke; Jeffrey R O'Connell; Leena Peltonen; David Schlessinger; David P Strachan; Cornelia M van Duijn; H-Erich Wichmann; Timothy M Frayling; Unnur Thorsteinsdottir; Gonçalo R Abecasis; Inês Barroso; Michael Boehnke; Kari Stefansson; Kari E North; Mark I McCarthy; Joel N Hirschhorn; Erik Ingelsson; Ruth J F Loos
Journal:  Nat Genet       Date:  2010-10-10       Impact factor: 38.330

8.  Meta-analysis identifies common variants associated with body mass index in east Asians.

Authors:  Wanqing Wen; Yoon-Shin Cho; Wei Zheng; Rajkumar Dorajoo; Norihiro Kato; Lu Qi; Chien-Hsiun Chen; Ryan J Delahanty; Yukinori Okada; Yasuharu Tabara; Dongfeng Gu; Dingliang Zhu; Christopher A Haiman; Zengnan Mo; Yu-Tang Gao; Seang-Mei Saw; Min-Jin Go; Fumihiko Takeuchi; Li-Ching Chang; Yoshihiro Kokubo; Jun Liang; Mei Hao; Loïc Le Marchand; Yi Zhang; Yanling Hu; Tien-Yin Wong; Jirong Long; Bok-Ghee Han; Michiaki Kubo; Ken Yamamoto; Mei-Hsin Su; Tetsuro Miki; Brian E Henderson; Huaidong Song; Aihua Tan; Jiang He; Daniel P-K Ng; Qiuyin Cai; Tatsuhiko Tsunoda; Fuu-Jen Tsai; Naoharu Iwai; Gary K Chen; Jiajun Shi; Jianfeng Xu; Xueling Sim; Yong-Bing Xiang; Shiro Maeda; Rick T H Ong; Chun Li; Yusuke Nakamura; Tin Aung; Naoyuki Kamatani; Jian-Jun Liu; Wei Lu; Mitsuhiro Yokota; Mark Seielstad; Cathy S J Fann; Jer-Yuarn Wu; Jong-Young Lee; Frank B Hu; Toshihiro Tanaka; E Shyong Tai; Xiao-Ou Shu
Journal:  Nat Genet       Date:  2012-02-19       Impact factor: 38.330

9.  Effect of a p38 MAPK inhibitor on FFA-induced hepatic insulin resistance in vivo.

Authors:  S Pereira; W Q Yu; J Moore; Y Mori; E Tsiani; A Giacca
Journal:  Nutr Diabetes       Date:  2016-05-02       Impact factor: 5.097

10.  Hepatic adenylate cyclase 3 is upregulated by Liraglutide and subsequently plays a protective role in insulin resistance and obesity.

Authors:  Y Liang; Z Li; S Liang; Y Li; L Yang; M Lu; H F Gu; N Xia
Journal:  Nutr Diabetes       Date:  2016-01-25       Impact factor: 5.097

View more
  6 in total

1.  Myostatin suppresses adipogenic differentiation and lipid accumulation by activating crosstalk between ERK1/2 and PKA signaling pathways in porcine subcutaneous preadipocytes.

Authors:  Shifeng Pan; Lin Zhang; Zhuang Liu; Hua Xing
Journal:  J Anim Sci       Date:  2021-12-01       Impact factor: 3.338

Review 2.  Efficacy of Liraglutide in Non-Diabetic Obese Adults: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Authors:  Joshuan J Barboza; Mariella R Huamán; Beatriz Melgar; Carlos Diaz-Arocutipa; German Valenzuela-Rodriguez; Adrian V Hernandez
Journal:  J Clin Med       Date:  2022-05-25       Impact factor: 4.964

3.  Liraglutide Improves Non-Alcoholic Fatty Liver Disease In Diabetic Mice By Modulating Inflammatory Signaling Pathways.

Authors:  Ying Luo; Pijian Yang; Zhengming Li; Yunchen Luo; Jing Shen; Ruwen Li; Hua Zheng; Yuzhen Liang; Ning Xia
Journal:  Drug Des Devel Ther       Date:  2019-12-02       Impact factor: 4.162

4.  Liraglutide reduces attenuation coefficient as a measure of hepatic steatosis during 16 weeks' treatment in nondiabetic obese patients: A pilot trial.

Authors:  Xiao Jing Wang; Ping Gong; Chenyun Zhou; Chengwu Huang; U-Wai Lok; Shanshan Tang; Ann Taylor; Deborah Eckert; Shigao Chen; Michael Camilleri
Journal:  JGH Open       Date:  2020-12-30

5.  Cistanche tubulosa phenylethanoid glycosides suppressed adipogenesis in 3T3-L1 adipocytes and improved obesity and insulin resistance in high-fat diet induced obese mice.

Authors:  Dilinazi Abudujilile; Weilan Wang; Alimu Aimaier; Lili Chang; Yuliang Dong; Yiye Wang; Xu Fan; Yu Ma; Yongli Wang; Dilinigeer Ziyayiding; Yuan Ma; Jie Lv; Jinyao Li
Journal:  BMC Complement Med Ther       Date:  2022-10-13

6.  Role of Adenylate Cyclase 9 in the Pharmacogenomic Response to Dalcetrapib: Clinical Paradigm and Molecular Mechanisms in Precision Cardiovascular Medicine.

Authors:  David Rhainds; Chris J Packard; Mathieu R Brodeur; Eric J Niesor; Frank M Sacks; J Wouter Jukema; R Scott Wright; David D Waters; Therese Heinonen; Donald M Black; Fouzia Laghrissi-Thode; Marie-Pierre Dubé; Marc A Pfeffer; Jean-Claude Tardif
Journal:  Circ Genom Precis Med       Date:  2021-04-02
  6 in total

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