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. 2015 Apr 7;6:6498. doi: 10.1038/ncomms7498

Flavin-containing monooxygenase 3 as a potential player in diabetes-associated atherosclerosis

Ji Miao 1, Alisha V Ling 1, Praveen V Manthena 1, Mary E Gearing 1, Mark J Graham 2, Rosanne M Crooke 2, Kevin J Croce 3, Ryan M Esquejo 4, Clary B Clish 5; Morbid Obesity Study Group12, David Vicent 6,7, Sudha B Biddinger 1,a
PMCID: PMC4391288  NIHMSID: NIHMS661219  PMID: 25849138

Abstract

Despite the well-documented association between insulin resistance and cardiovascular disease, the key targets of insulin relevant to the development of cardiovascular disease are not known. Here, using non-biased profiling methods, we identify the enzyme flavin-containing monooxygenase 3 (Fmo3) to be a target of insulin. FMO3 produces trimethylamine N-oxide (TMAO), which has recently been suggested to promote atherosclerosis in mice and humans. We show that FMO3 is suppressed by insulin in vitro, increased in obese/insulin resistant male mice and increased in obese/insulin-resistant humans. Knockdown of FMO3 in insulin-resistant mice suppresses FoxO1, a central node for metabolic control, and entirely prevents the development of hyperglycaemia, hyperlipidemia and atherosclerosis. Taken together, these data indicate that FMO3 is required for FoxO1 expression and the development of metabolic dysfunction.


Inline graphicThe hepatic enzyme FMO3 has been linked to atherosclerosis. Here the authors show that FMO3 is upregulated in various models of diabetes and link FMO3 with key transcriptional regulators of hepatic glucose and cholesterol synthesis, thus proposing a mechanistic connection between diabetes and atherosclerosis.


Obesity, metabolic syndrome and Type 2 diabetes are related disorders that have reached epidemic proportions in our society, with almost one in three adults meeting criteria for metabolic syndrome and 5–10% of the population with Type 2 diabetes. One of the major forms of morbidity and mortality associated with these disorders is cardiovascular disease (CVD). Diabetes increases the risk of cardiovascular disease by two- to four-fold and most individuals with diabetes ultimately die of cardiovascular disease1,2. Importantly, the risk of CVD in diabetic patients remains high even after optimal treatment with statin drugs3,4. This indicates the urgent need for developing better treatments to prevent CVD in diabetic patients.

Our ability to develop new therapies has been hampered by our lack of understanding of the specific mechanisms by which diabetes promotes CVD5. On the one hand, it is clear that defects in insulin action play a central role in the pathophysiology of diabetes6. However, insulin is a pleiotropic anabolic hormone, with many targets6. The goal of these studies was to identify novel targets of insulin action relevant to the development of diabetes-associated CVD.

Results

Transcriptional and metabolic profiling of LIRKO livers

To search for novel targets of insulin without the bias of an a priori hypothesis, we performed metabolic and transcriptional profiling on the livers of chow-fed male Liver Insulin Receptor Knockout (LIRKO) mice and their littermate Flox controls. The livers of LIRKO mice are unable to respond to insulin, allowing us to identify the targets of insulin action on the liver in vivo7. LIRKO mice show hyperglycaemia, hyperinsulinemia, and changes in lipid metabolism that are similar to individuals with mutations in the insulin receptor8,9,10. Moreover, they are markedly susceptible to atherosclerosis11.

Of the 175 metabolites profiled in the livers of LIRKO mice—including organic acids, bile acids, purines, pyrimidines and other compounds—the metabolite that showed the greatest fold change in LIRKO versus Flox livers was TMAO (Fig. 1a). In both humans and mice, TMAO concentrations correlate positively with CVD risk, and dietary supplementation with either TMAO or compounds that can be metabolized to TMAO increases atherosclerosis in mice12. In parallel, microarray profiling revealed that the second most highly upregulated transcript in LIRKO livers was Fmo3, the gene encoding the enzyme that produces TMAO13 (Fig. 1b). This was surprising, given that Fmo3 had previously been shown to be regulated primarily by sex hormones and bile acids13. Taken together, these striking findings indicate that one of the most profound effects of insulin on the male mouse liver in vivo is to suppress Fmo3 and TMAO.

Figure 1. FMO3 is suppressed by insulin.

Figure 1

(ae) The livers of 2-month-old non-fasted male Flox and LIRKO mice were subjected to metabolic profiling (a) and microarray analysis (b); all metabolites and genes with an adjusted P value <0.05 are shown. Alternatively, hepatic gene expression (c) was measured using real-time PCR and protein levels (d) were measured by western blotting whole-cell lysates. Plasma TMAO levels (e) were measured using LC/MS. Data represent the mean and s.e.m.; n=5–11; *P<0.05 (Student's t-test). (fh) Gene expression was measured in primary hepatocytes from male rats (f,g) or mice (h) after 6 h of stimulation with insulin (f), glucagon (g) or dexamethasone (h). Average or representative results of two to four independent experiments are shown; *P<0.05 (Student's t-test); n=3 replicates per condition.

Further studies in the livers of male LIRKO mice using real-time PCR analysis confirmed that Fmo3 was increased >1,000-fold in the livers of LIRKO mice relative to their littermate Flox controls (Fig. 1c). In parallel, FMO3 protein was expressed robustly in LIRKO livers, but undetectable in Flox livers (Fig. 1d). Finally, TMAO levels in the plasma were elevated approximately 2.5-fold (Fig. 1e). Other Fmo genes were more modestly changed, with a three-fold increase in Fmo2 and a 50% decrease in Fmo5 (Fig. 1c).

Insulin suppresses Fmo3 in primary hepatocytes

To determine whether insulin could directly suppress Fmo3, we treated primary rat hepatocytes with insulin (Fig. 1f). Within 6 h of treatment, insulin suppressed the gluconeogenic enzyme phosphoenolpyruvate carboxykinase (Pck1) by >90%, and induced sterol regulatory element binding protein-1c (Srebp-1c) more than four-fold, as expected. In parallel, insulin suppressed Fmo3 mRNA by 60%, and this was blunted by pharmacological inhibition of phosphatidylinositol (PI) 3-kinase (Supplementary Fig. 1).

Diabetes is associated not only with defects in insulin action, but also with multiple other changes in the hormonal milieu. In particular, there is increased action of glucagon and glucocorticoids, hormones that antagonize insulin action14,15,16,17. We found that glucagon increased Fmo3 14-fold, and dexamethasone (a synthetic glucocorticoid) increased Fmo3 >400-fold (Fig. 1g,h). Similarly, Pck1 was induced 40-fold by glucagon, and more than 400-fold by dexamethasone (Fig. 1g,h).

The other genes in the Fmo family showed similar, but more modest, responses to insulin, glucagon and dexamethasone. Insulin decreased expression of Fmo1, Fmo2 and Fmo5 by 35–50%, whereas glucagon increased them two- to three-fold (Fig. 1f,g). Dexamethasone increased Fmo1 two-fold, Fmo2 twenty-fold and Fmo5 six-fold (Fig. 1h).

FMO3 knockdown suppresses FoxO1 and improves glucose tolerance

To determine whether FMO3 might play a role in the development of the diabetic phenotype, we used second generation antisense oligonucleotides (ASO) to knockdown FMO3 in LIRKO mice. We studied three groups: Flox mice treated with a control ASO, LIRKO mice treated with a control ASO and LIRKO mice treated with an ASO against Fmo3. Each mouse was injected with 50 mg kg−1 body weight of ASO by intraperitoneal injection each week. This ASO was previously shown to reduce hepatic Fmo3 expression by 90% and plasma TMAO by almost 50% (ref. 13).

The FMO3 ASO decreased Fmo3 mRNA by ∼75% in LIRKO mice and markedly reduced FMO3 protein (Fig. 2a,b); it also reduced Fmo2 mRNA by 50% but it did not significantly change the other Fmo genes (Supplementary Fig. 2c). The FMO3 ASO did not alter body weight (Supplementary Fig. 2a), nor did it produce hepatic or renal toxicity (Supplementary Fig. 2b). As expected, FMO3 ASO treatment normalized plasma TMAO levels in LIRKO mice (Fig. 2c).

Figure 2. Knockdown of FMO3 suppresses FoxO1 via SREBP-2.

Figure 2

(ak) Four- to six-week-old male Flox and LIRKO mice were treated with control (Con) or FMO3 ASO for 7 weeks and killed in the non-fasted state. Hepatic gene expression (a,f,h,i,j,k) was measured by real-time PCR, and in (h) expressed as a heat map, with each column representing data from a single mouse. The data are row-normalized with red and blue representing high and low expression, respectively. Protein levels were measured by western blotting whole-cell lysates (b,g) or nuclear fractions (i). (c) TMAO was measured in plasma collected at the time of sacrifice using LC/MS. Glucose (d) and insulin (e) tolerance testing were performed after 5 weeks of ASO treatment. Data represent the mean and s.e.m.; n=5–7; *P<0.05 (Student's t-test) LIRKO versus Flox mice treated with the control ASO; #P<0.05 (Student's t-test) control versus FMO3 ASO treatment of LIRKO mice. (lo) Primary mouse hepatocytes were infected with control adenovirus or adenovirus expressing SREBP-2 (ln) or miR-182 (o). Alternatively, shRNA expression plasmids were transfected into H2.35 hepatoma cells (p). Gene expression was measured by real-time PCR (m,n). Data represent mean and s.e.m.; *P<0.05 (Student's t-test); n=3 wells per condition; results are representative of three independent experiments. (l,o,p) Whole-cell lysates were subjected to western blotting (l,o,p) and quantification (o,p right panels). (o,p) Data represent the mean and s.e.m. of three independent experiments; *P<0.05 (Student's t-test). Representative images are shown in l and the left panels of o,p. (qt) Eight- to ten-week-old male LIRKO mice were fed a chow diet with or without supplementation of lovastatin and ezetimibe (L+E) for 1 week and euthanized in the non-fasted state. Hepatic gene expression (q,r,t) was measured by real-time PCR. Hepatic FoxO1 protein (s) was measured by western blotting whole-cell lysates. Data represent the mean and s.e.m.; n=5–7; #P<0.05 (Student's t-test).

Surprisingly, knockdown of FMO3 completely normalized glucose tolerance and improved insulin tolerance in LIRKO mice (Fig. 2d,e). In parallel, FMO3 ASO significantly reduced expression of the gluconeogenic enzymes, glucose 6-phosphatase (G6pc) and Pck1, and insulin-like growth factor binding protein 1 (Igfbp1) (Fig. 2f).

G6pc, Pck1 and Igfbp1 are all targets of the transcription factor forkhead box O1 (FoxO1). FoxO1 drives gluconeogenic gene expression and is inhibited by insulin18,19. We found that FMO3 ASO treatment markedly reduced FoxO1 protein levels (Fig. 2g). The effects of FMO3 knockdown on FoxO1 were unlikely to be due to off-target effects of the ASO, as a second ASO targeting FMO3 also reduced FoxO1 protein in LIRKO livers (data not shown) and three additional shRNA constructs targeting FMO3 reduced FoxO1 protein levels in parallel with their ability to knockdown FMO3 in vitro (Supplementary Fig. 2g-i).

Knockdown of FMO3 suppresses FoxO1 via SREBP-2

FMO3 is known primarily for its role in xenobiotic metabolism and more recently, cholesterol metabolism, via its product TMAO20. Though the specific molecular targets remain unclear, mice with dietary induced increases in TMAO have been shown to have altered cholesterol absorption, reverse cholesterol transport and bile acid metabolism13,21. We therefore examined the effects of FMO3 ASO treatment on a panel of genes involved in the uptake, synthesis and excretion of cholesterol (Fig. 2h). The bile acid synthetic enzyme Cyp8b1, which determines the bile salt profile and is known to be driven by FoxO1, was decreased by knockdown of FMO3. However, we did not observe consistent, significant effects of the FMO3 ASO on any of the following: the other bile acid enzymes (Cyp7a1, Cyp7b1 or Cyp27a1); the cholesterol and bile transporters (Abca1, Abcg5, Abcg8, Ntcp, Mrp2, Oatp1 or Bsep); the transcriptional regulators, Lxr, Fxr and Shp; or the lipogenic enzyme Fasn and its regulator Srebp-1c. Finally, Klf15 and Hmgcs2, recently found to be reduced by FMO3 knockdown in other models22, trended downwards with FMO3 ASO treatment, but also did not consistently reach significance (Supplementary Fig. 2j).

On the other hand, we observed profound and consistent changes in the cholesterol synthetic enzymes and their regulator, sterol regulatory element binding protein- 2 (SREBP-2)23. SREBP-2 is induced by the depletion of cholesterol in the endoplasmic reticulum24. We have previously shown SREBP-2 to be decreased in LIRKO livers25. Interestingly, knockdown of FMO3 largely normalized expression of Srebp-2 mRNA and the amounts of nuclear SREBP-2 protein (Fig. 2i). The SREBP-2 targets, 3-hydroxy-3-methylglutaryl-CoA reductase (Hmgcr), farnesyl diphosphate synthase (Fdps), squalene synthase (Fdft1), Cyp51 and the LDL receptor (Ldlr) were also normalized in LIRKO mice by treatment with FMO3 ASO (Fig. 2j).

One potential link between FoxO1 and SREBP-2 is miR-182. This microRNA has been shown to directly target the 3′ UTR of FoxO1 and thereby suppress FoxO1 expression26,27,28. Importantly, miR-182 is encoded by a miRNA locus that is activated directly by SREBP-2 (ref. 29). We therefore measured miR-182 expression in the livers of LIRKO mice treated with FMO3 ASO. Consistent with the induction of SREBP-2 in these livers (Fig. 2i), miR-182 was increased four-fold (Fig. 2k).

To directly test the roles of SREBP-2 and miR-182 in the regulation of FoxO1, we overexpressed SREBP-2 via an adenovirus in primary mouse hepatocytes (Fig. 2l). Overexpression of SREBP-2 was sufficient to induce Ldlr, Hmgcr and miR-182 (Fig. 2m,n). In parallel, FoxO1 protein was suppressed (Fig. 2l). Overexpression of miR-182 also reduced FoxO1 protein, but the effects were more modest, suggesting that SREBP-2 may suppress FoxO1 via other mechanisms as well (Fig. 2o).

We also knocked down SREBP-2 in mouse hepatocyte-derived H2.35 cells using an shRNA construct. This construct reduced expression of Srebp-2 and its targets, Hmgcr, Ldlr and miR-182 (Supplementary Fig. 2k). Moreover, knockdown of SREBP-2 abolished the effects of FMO3 knockdown on FoxO1 protein levels, indicating that SREBP-2 is required for the effects of FMO3 knockdown on FoxO1 (Fig. 2p; right panel shows quantification).

Taken together, these data suggest that knockdown of FMO3, perhaps by lowering endoplasmic reticulum cholesterol, induces SREBP-2 and thereby suppresses FoxO1. Consistent with this, knockdown of FMO3 reduced total hepatic cholesterol in the livers of LIRKO mice (Supplementary Fig. 2f), though this only reached significance in the presence of excess dietary cholesterol (Supplementary Fig. 3b).

To determine whether a reduction in hepatic cholesterol was sufficient to suppress FoxO1, we treated LIRKO mice with lovastatin and ezetimibe for 1 week30. This combination of drugs reduces hepatic cholesterol by inhibiting cholesterol synthesis and absorption31. As expected, lovastatin/ezetimibe treatment strongly induced Srebp-2 and its targets in LIRKO livers25 (Fig. 2q). It also induced miR-182 (Fig. 2r) and suppressed FoxO1 mRNA, FoxO1 protein and G6pc mRNA (Fig. 2s,t).

FMO3 knockdown prevents hypercholesterolemia and atherosclerosis

We also asked whether knockdown of FMO3 could prevent atherosclerosis in LIRKO mice. Though LIRKO mice are not hypercholesterolemic relative to Flox mice on a chow diet (Supplementary Fig. 2e), they do develop hypercholesterolemia and atherosclerosis in response to the stress of the Paigen diet (15% fat, 1% cholesterol, 0.5% cholic acid)11. We therefore challenged the mice with the Paigen diet for 4 months. Fmo3 mRNA was only 30-fold increased in LIRKO versus Flox livers on the Paigen diet, perhaps because of the presence of cholic acid, which induces Fmo3 expression in normal mice13. Nonetheless, in LIRKO mice, treatment with ASO against FMO3 reduced Fmo3 mRNA by ∼50%; more importantly, FMO3 protein and TMAO levels were normalized by FMO3 ASO treatment (Fig. 3a-c). Body weights were similar in all three groups, and Srebp-2 and its targets were increased in LIRKO livers by the FMO3 ASO (Supplementary Fig. 3a,c).

Figure 3. Knockdown of FMO3 prevents the development of atherosclerosis in LIRKO mice.

Figure 3

At 4 to 6 weeks of age, male Flox and LIRKO mice were placed on an atherogenic Paigen diet, treated with control (Con) or FMO3 ASO for 16 weeks, and killed in the non-fasted state. Hepatic gene expression (a) was measured by real-time PCR. Hepatic protein levels (b,f) were measured by western blotting whole-cell lysates. (c,e) Plasma taken at the time of sacrifice was used to measure TMAO (c) or pooled (n=5–7 mice per group) and subjected to FPLC analysis (e). Total cholesterol (d) was measured after 12 weeks of ASO treatment and a 4-h fast. (g,h) Abdominal aortas were dissected and stained with Oil-Red-O (representative images shown in g). Lesion area was quantified and expressed as a percentage of the whole aorta (h). In the above in vivo experiments, data represent the mean and s.e.m.; n=5–13; *P<0.05 (Student's t-test) LIRKO mice treated with the control ASO versus Flox mice; #P<0.05 (Student's t-test) control ASO versus FMO3 ASO-treated LIRKO mice.

In the presence of the Paigen diet, LIRKO mice developed severe hypercholesterolemia that was entirely prevented by the knockdown of FMO3 (Fig. 3d). Similar results were obtained on a Western diet (21% fat, 0.2% cholesterol, 34% sucrose), which lacks cholic acid (Supplementary Fig. 3d–g). In particular, knockdown of FMO3 decreased VLDL- and LDL-associated cholesterol in LIRKO mice (Fig. 3d,e). This was associated with an increase in LDL receptor, which removes atherogenic lipoproteins from the plasma, and sortilin, which both promotes clearance and inhibits secretion of atherogenic lipoproteins32 (Fig. 3f). SR-B1, which participates in reverse cholesterol transport by removing HDL cholesterol from the serum33, was decreased; however, HDL was also decreased, suggesting a possible discordance between SR-B1 protein levels and activity. In any case, consistent with the prevention of hypercholesterolemia, FMO3 knockdown completely prevented the development of atherosclerosis in Paigen-fed LIRKO mice (Fig. 3g,h).

FMO3 is increased in other mouse models of diabetes

We also examined FMO3 in other models of diabetes. Streptozotocin (STZ)-treated mice are a model of Type 1 diabetes, as STZ treatment is toxic to the beta-cells of the pancreas, rendering STZ-treated mice insulin deficient. As expected, male STZ mice were hyperglycaemic with four- to five-fold increases in Pck1 and G6pc expression in their livers relative to their untreated controls (Fig. 4a,b). Fmo3 mRNA, however, was induced over 1,000-fold, and FMO3 protein was markedly induced (Fig. 4c,d).

Figure 4. FMO3 in obese/diabetic mice and humans.

Figure 4

(ah) Eight- to ten–week-old male mice were killed in the non-fasted state. (ad) Streptozotocin (STZ)-treated mice were compared with their vehicle-treated controls (Veh) and (eh) ob/ob mice were compared with their wild-type controls (Con); all mice were killed in the non-fasted state. (im) Six-week-old male ob/ob mice were treated with control (Con) or FMO3 ASO for 4 weeks and were killed in the non-fasted state. Hepatic gene expression (b,c,f,g,i,k,l) was measured using real-time PCR, and protein levels (d,h,j) were measured by western blotting whole-cell lysates. Glucose tolerance testing (m) was performed after 3 weeks of ASO treatment. Data represent the mean and s.e.m.; n=5–8; *P<0.05 (Student's t-test) vehicle versus STZ treated (a to d), control versus ob/ob mice (e to h), control ASO-treated ob/ob mice versus FMO3 ASO-treated ob/ob mice (i to m). (no) Two- to three-month-old male and female Flox and LIRKO mice were killed in the non-fasted state. Hepatic gene expression (n) was measured using real-time PCR, and protein levels (o) were measured by western blotting whole-cell lysates. (ps) Four- to six-week-old female Flox and LIRKO mice were treated with control (Con) or FMO3 ASO for 7 weeks and killed in the non-fasted state. Hepatic gene expression (p,r) was measured by real-time PCR, and protein levels were measured by western blotting whole-cell lysates (q). Glucose tolerance testing (s) was performed after 3 weeks of ASO treatment. Data represent the mean and s.e.m.; n=5; *P<0.05 (Student's t-test) Flox versus LIRKO mice with control ASO treatment; #P<0.05 (Student's t-test) control versus FMO3 ASO-treated mice of the same genotype (blue # is for Flox mice and red # is for LIRKO mice). (t,u) Liver biopsies were taken from age and sex-matched patients undergoing bariatric surgery (Obese) or other abdominal surgeries (Controls), and FMO3 expression was measured by real-time PCR (u); biochemical and physiological data from these patients are shown (t). Data represent the mean and s.e.m., as described in Methods. P values were determined by the Mann–Whitney test for continuous variables and by the χ2 test for categorical variables (t) or the Student's t-test (u).

Leptin-deficient ob/ob mice are a commonly used model of obesity/Type 2 diabetes. Male ob/ob mice were hyperglycaemic with increased hepatic expression of the gluconeogenic enzymes Pck1 and G6pc relative to their lean controls (Fig. 4e,f). FMO3 mRNA and protein were also markedly increased in the livers of ob/ob mice (Fig. 4g,h). Blocking the effects of hyperinsulinemia in ob/ob mice by knocking down the insulin receptor further induced FMO3 protein, consistent with the notion that the signaling pathways utilized by insulin to suppress Fmo3 become partially resistant to insulin in ob/ob mice (Supplementary Fig. 4a).

Treatment with the FMO3 ASO markedly reduced FMO3 in ob/ob livers (Fig. 4i,j). In parallel, it increased Srebp-2, the cholesterologenic enzymes, and miR-182 (Fig. 4k-l). Again, FoxO1 protein levels were lowered to near undetectable levels, and glucose tolerance was significantly improved (Fig. 4j,m). Thus, in ob/ob mice, as in LIRKO mice, the knockdown of FMO3 can activate SREBP-2/miR-182 and suppress FoxO1 and hyperglycaemia.

FMO3 in female LIRKO mice

Taken together, these data indicate that FMO3 expression, which is directly inhibited by insulin and induced by glucagon and corticosteroids, is increased in male mice with insulin deficiency/insulin resistance. However, FMO3 expression is sexually dimorphic, with regulation at the levels of transcription, translation/protein stability and enzyme activity13. Thus, FMO3 in females livers is >1,000-fold higher at the mRNA level and three-fold higher at the enzyme activity level13.

We therefore examined the expression of FMO3 in LIRKO females. Flox females had 4,000 times more Fmo3 mRNA and markedly more FMO3 protein than their male counterparts, as expected (Fig. 4n,o). Though knockout of the insulin receptor increased Fmo3 expression, the effects were modest and only reached significance in some cohorts. To determine whether FMO3 still regulated FoxO1 in female mice, we knocked down FMO3 in both Flox and LIRKO female mice (Fig. 4p–s). Indeed, FMO3 knockdown increased expression of miR-182 (Fig. 4r) and suppressed FoxO1 (Fig. 4q) and its targets (Supplementary Fig. 4b) in females, just as it did in males. In LIRKO mice, this resulted in improved pyruvate tolerance (Supplementary Fig. 4c), which reflects gluconeogenic capacity, and improved glucose tolerance (Fig. 4s). In Flox mice, the reduction of FoxO1 protein was not associated with an improvement in glucose tolerance, consistent with previous studies showing that the effects of FoxO1 knockout on glucose metabolism are manifested primarily in the insulin-resistant state34.

The fact that FMO3 knockdown had similar effects in males and females suggests that the FMO3/TMAO pathway is important in metabolic control in both sexes, though its regulation is different. Such extreme sexual dimorphism of FMO3 is only observed in certain species of mice, such as Mus musculus and Mus domesticus35. Even other rodent species, such as the mouse strain Mus caroli and Rattus norvegicus, do not show sexually dimorphic expression of FMO3 in their livers35. In humans, the sex effect on TMAO/FMO3 is absent or much more modest, as TMAO levels are not significantly different between males and females21, and hepatic Fmo3 mRNA is increased only 50% to three-fold in females13.

FMO3 is increased in obese/insulin resistant subjects

To begin to explore the relationship between FMO3 and diabetes in humans, we examined FMO3 expression in the livers of age and sex-matched patients undergoing either bariatric surgery (Obese) or other abdominal surgeries (Controls). All of the individuals undergoing bariatric surgery had a BMI>33.0 (with a mean BMI of 41.8), and 79% were diabetic. Consistent with their metabolic derangements, the obese group had higher levels of serum triglycerides and lower HDL than the controls (Fig. 4t). FMO3 was significantly increased in the morbidly obese group (Fig. 4u). However, the effect was more modest than seen in the mouse models, possibly because the diabetic patients were treated with insulin and/or other medications to improve insulin sensitivity, and because the liver biopsies were taken under the fasting conditions of surgery.

Discussion

Over the past 4 years, FMO3 and TMAO have emerged as key components of a complex axis integrating diet and the gut microbiome with atherosclerosis12,13,21,36, and knockdown of FMO3 was recently shown in mouse models of hyperlipidemia to prevent atherosclerosis and improve the metabolic phenotype37. Here, we have independently identified FMO3 and TMAO by performing non-biased profiling in male mice with diabetes-associated atherosclerosis. Importantly, we find that FMO3 is required for expression of FoxO1, a key node within the cell, controlling growth, differentiation and metabolism19,38. In addition to regulating glucose production, FoxO1 regulates bile acid, lipoprotein and fatty acid metabolism34,39,40,41,42,43,44,45,46. It is clear that knockdown of FoxO1 has profound effects, reversing most, but not all aspects of the insulin-resistant state34,39.

In female mice, FMO3 is not strongly induced by insulin resistance and non-diabetic female mice have high levels of FMO3/TMAO21, but do not necessarily manifest hyperglycaemia or atherosclerosis. In male mice, FMO3 is strongly induced by diabetes, but transient overexpression of FMO3 in lean male mice does not produce hyperglycaemia (data not shown). In both male and female mice, FMO3 is required for the development of the diabetic phenotype. Taken together, these data suggest that FMO3, which is differentially regulated in male and female mice, is necessary but not sufficient for the development of the diabetic phenotype.

Several lines of evidence support the notion that the link between diabetes and FMO3/TMAO will be important in humans. First, our data in human liver samples show that FMO3 is increased in the livers of obese/insulin-resistant individuals undergoing gastric bypass. Second, previous studies have shown that increased plasma levels of TMAO are associated with increased levels of serum glucose and diabetes in patients undergoing elective coronary angiography36. Finally, using Meta-Analysis of Glucose and Insulin-related traits Consortium data set (n=15,234 nondiabetic individuals), we found several SNPs in the FMO3 locus to be associated with blood glucose levels (P=4 × 10−5)47, though they did not reach genome-wide significance (Supplementary Fig. 4d).

The results of this work suggest that therapies to reduce FMO3/TMAO to normal levels may be particularly helpful in the prevention of diabetes-associated CVD. This may be through pharmacological manipulations to reduce FMO3 activity in diabetic patients, or by dietary interventions, such as the restriction of carnitine and/or choline, which serve as precursors of TMAO.

Methods

Animal, diets and treatments

Animals were housed in a twelve-hour light/dark cycle (0700–1900 hours). Unless otherwise indicated, mice were given standard chow and water ad libitum, and killed in the non-fasted state, at 1400 hours. The type and length of the diet other than chow were indicated in the main text and figure legends. The Western diet (TD88137) and Paigen diets (TD09237) were obtained from Harlan Teklad. All procedures were approved by the Institutional Animal Care and Research Advisory Committee at Boston Children's Hospital.

LIRKO (Cre+/−, IR lox/lox) mice7 and their littermate flox controls (Cre−/−, IR lox/lox) were maintained on a mixed genetic background including 129/sv, C57BL/6, FVB and DBA. Male ob/ob mice and their lean, wild-type C57BL/6J controls were purchased from Jackson Laboratories.

For antisense oligonucleotides (ASO) experiments, four- to six-week-old mice were administered chemically modified ASO (50 mg kg−1 body weight) by intraperitoneal injection weekly for 7 weeks, or 16 weeks in the case of the atherosclerosis studies. Mice were killed 1 day after the final dose. Control (ISIS-141923, 5′-CCTTCCCTGAAGGTTCCTCC-3′), FMO3-specific (ISIS-555847, 5′-TGGAAGCATTTGCCTTTAAA-3′) and insulin receptor-specific (ISIS 401145 5′-GTGTTCATCATAGGTCCGTT-3′) chimeric 20-mer phosphorothioate oligonucleotides containing 2'O-methoxyethyl groups at positions 1 to 5 and 16 to 20 were diluted in normal saline before injection. Glucose tolerance test (GTT) and insulin tolerance tests (ITT) were performed after 5 weeks of ASO administration, unless otherwise indicated. For STZ treatment, eight- to nine-week-old male C57BL/6J mice were injected with STZ (180 mg kg−1 body weight) or vehicle (0.1 M citric acid, pH=4.2), and killed 7 days later. For the lovastatin/ezetimibe treatments, eight- to ten-week-old male mice were given free access to powdered chow with or without supplementation of 0.1% lovastatin and 0.025% ezetimibe (both w/w), and killed 7 days later.

Glucose tolerance test, insulin tolerance test and pyruvate tolerance test

Mice were fasted (∼16 h for GTT and pyruvate tolerance test and 4 h for ITT) and then were intraperitoneally injected with 1 g kg−1 body weight glucose (GTT), 1 U kg−1 body weight insulin (ITT) or 2 g kg−1 body weight of sodium pyruvate (PTT)8,48.

Phenotypic and biochemical characterization

Blood glucose was measured with a glucometer using whole blood from tail bleeds. Plasma total cholesterol (Thermo Scientific) and total triglycerides (Thermo Scientific) were measured using colorimetric assays per manufacturers' instruction. Alternatively, livers were homogenized in 50 mM NaCl and lipid was extracted with chloroform and methanol (2:1) followed by a colorimetric assay per manufacturers' instruction25.

Plasma metabolites were extracted with methanol followed by LC/MS analysis. TMAO m/z=76 peaks were monitored and areas under the curve were calculated49. Fast protein liquid chromatography (FPLC) Analysis50,51 was performed by the Lipid, Lipoprotein and Atherosclerosis Analysis Core Laboratory at Wake Forest University.

Microarray and metabolomics analysis

Total RNA (RNeasy, Qiagen) was isolated from the livers of non-fasted male mice (RNA from two to three mice were pooled for each chip) and hybridized to Affymetrix MG-U74A-v2 chips per manufacturers' instructions. Raw data were processed in R (www.r-project.org) using the open-source Bioconductor packages, affy52 and limma53. Samples were background corrected and normalized using robust multichip averaging (RMA)52. Adjusted P-values were calculated with the limma package by applying the Benjamini–Hochberg correction. Alternatively, metabolomics was performed49,54 on individual livers harvested from male Flox and LIRKO mice; P value was adjusted for multiple comparisons using a Bonferroni correction. Heat maps were generated in Excel for significantly altered genes or metabolites (adjusted P-value<0.05) and were coloured by log2 fold changes.

Gene expression analysis

Gene expression was measured using real-time PCR. Total RNA was isolated by Trizol (Life technologies) or RNeasy kit (Qiagen). cDNA was synthesized by a reverse transcription kit (Applied Biosystems). The resultant cDNA was diluted Five- to ten-fold and used for real-time PCR analysis with SYBR green reagents (Thermo Scientific) in Applied Biosystems 7900 HT or 7000 instruments. Results were normalized to the house keeping genes 18S (in vivo studies) or 36B4 (in vitro studies). In some cases, gene expression data, after normalization to 18S, were expressed as a heat map made using GenePattern55. Primer sequences are listed in Supplementary Table 1. The value of the control group was set to 1, but actual Ct values for QPCR are given in Supplementary Table 2.

Alternatively, for quantification miR-182 (mmu-miR-182), Taqman assays (Applied Biosystems) were performed on RNA samples prepared using Trizol and the expression was normalized to housekeeper U6 snRNA. The value of the control group was set to 1.

Construction of plasmids

Full length of mouse Fmo3 cDNA was cloned into pcDNA3 vector by introducing KpnI and NotI restriction enzyme sites using PCR. Control shRNA against LacZ (5′-GTTCACGGCGACAACTGC-3′), shRNA against mouse FMO3 (#1: 5′-GCATTTACCAATCGGTCTTCA-3′; #2 5′-GCTGGGCAGCACAAGTAATAA-3′; #35′-GCTTCCACAGCAGGGACTATA-3′) and shRNA against SREBP-2 (5′-GGACAACACACAATATCATTG-3′) were constructed using the Block-it U6 system (Life Technologies).

Adenovirus

Control adenovirus and adenovirus expressing human SREBP-2 were purchased (Eton Biosciences) and amplified in 293A cells (Life Technologies). Adenovirus expressing the precursor form of mmu-miR-182 was generated using the AdEasy XL Adenoviral Vector System. The DNA sequence from 157-bp upstream through 224-bp downstream of the mouse pri-miR-182 sequence was amplified by PCR with primers containing NheI and XhoI restriction sites on either end. This fragment was cloned into the pGEM-T vector (Promega), sequenced, transferred into the pShuttle vector and subsequently cloned into the pAd-Easy-1 vector (Agilent).

Cell culture

Cells were maintained at 37 °C in a 5% CO2 mammalian cell culture incubator. H2.35 mouse hepatoma cells (ATCC) and 293A cells were maintained in DMEM media (25 mM glucose, Life Technologies) containing penicillin-streptomycin and 10% fetal bovine serum. Cells were tested every 4 months to ensure no mycoplasma contamination. Transient transfection was performed using lipofectamine 2000 (Life Technologies) when cells reach 70% confluency according to a protocol suggested by the manufacturer. Cells were then harvested for protein or RNA extraction 48 h post transfection.

Primary hepatocyte studies

Primary rat hepatocytes were isolated from 8-week-old male Sprague–Dawley rats (Harlan)56. After isolation, cells were suspended in William's E medium (Life Technologies) containing penicillin-streptomycin, 100 nM glutamine (medium A) and 10% fetal bovine serum and 1 × 106 rat hepatocytes were placed on rat tail collagen I (BD Biosciences)-coated six-well plates. Four hours later, cells were washed twice with PBS and incubated overnight in medium A supplemented with 100 nM dexamethasone, 100 nM triiodothyronine and 1 nM insulin (fasting medium). Cells were then washed twice with PBS and incubated for 6 h in either medium A containing 100 nM dexamethasone and 100 nM triiodothyronine with or without 100 nM insulin supplementation, or medium A containing 100 nM dexamethasone with or without 100 nM glucagon supplementation.

Similarly, male mouse hepatocytes were isolated, plated at a density of 0.5 × 106 cells per well. Cells were incubated overnight in medium A without dexamethasone, washed and then incubated for 6 h with either vehicle (DMSO) or 100 nM dexamethasone.

For adenoviral infection, rat hepatocytes were infected with 10 to 50 MOI adenovirus 4 h after cells were placed on plates. Twenty-four hours later, cell media was replaced with fresh media. Cells then were collected 48 h post viral infection.

Western blotting

Nuclear and cytoplasmic extracts were prepared by using a commercial kit (Thermo Scientific) per the manufacturer's instruction. Alternatively, whole-cell lysates were prepared from the liver25, primary mouse hepatocytes8 and H2.35 cells8. Ten to fifty micrograms of lysates was loaded onto sodium dodecyl sulfate–PAGE (SDS–PAGE) gels and transferred onto a PVDF membrane (Thermo Scientific). After blocking in SuperBlock buffer (Thermo Scientific), blots were incubated overnight with a primary antibody (1:1,000 to 2,000 dilution). The secondary antibody conjugated with horseradish peroxidase (Thermo Scientific) and chemiluminescent ECL reagents (Thermo Scientific) were used to develop blots. ImageJ (NIH) was used to quantify densitometry of the bands on film. The LDLR antibody was a kind gift from Dr Alan Attie57. Other antibodies used in study were obtained from commercial sources and are listed in Supplementary Table 3. Noncropped western blot images are shown in Supplementary Fig. 5.

Atherosclerosis

Animals were perfused with saline. The abdominal aortas were dissected free of adventitial fat, fixed with formalin and stained with Oil-Red-O. Aortas were then open longitudinally and pinned onto surfaces of black wax. Images of stained aortas were taken with a digital camera and lesion areas were quantified using computer-aided software (Image-Pro).

Human studies

Human studies were approved by the Ethics Committee of the Hospital Clínico San Carlos, and all subjects gave informed consent. Liver biopsies were obtained from morbidly obese patients undergoing bariatric surgery or control patients undergoing surgery for gastroesophageal reflux disease (four patients), achalasia (one patient) and cholelithiasis (two patients), during the years 2004–2009 at the Hospital Clínico San Carlos. The bariatric surgery patients and controls were post-hoc age and sex matched. Clinical and biochemical data taken at the time of surgery were obtained from the chart. Clinical and biochemical data were available for all patients undergoing bariatric surgery. For the controls, glucose and total cholesterol levels were available in six patients, triglycerides in five patients, and HDL and LDL in three patients. For gene expression, RNA was isolated (TRI Reagent, Sigma-Aldrich), cDNA was synthesized (High-Capacity cDNA Reverse Transcription Kit, Applied Biosystems), and FMO3 gene expression was measured (TaqMan human FMO3 Gene Expression Assay Hs00199368_m1 and human 18 s rRNA as reference gene, Applied Biosystems). Expression was calculated via the ΔΔCt method.

Statistical analysis

Human studies. For clinical parameters, P value was determined by Mann–Whitney test for continuous variables and by χ2 test for categorical variables. For gene expression studies, the expression values were not normally distributed. Therefore, a log transformation was performed after which the mean and s.e.m. were calculated, and a t-test was performed. Data are presented as the back-transformed values of the mean and s.e.m.

Mouse studies

Sample sizes were based on standard lab protocols and previous studies, rather than power calculations, as the effect sizes were not known a priori. Animals were randomized to control and experimental groups. Atherosclerosis was measured in a blinded manner. Animals whose body weights were two or more s.d. values lower than the average of their groups were excluded (one animal in the Flox control ASO group in Fig. 3). Differences between groups were assessed by a two-tailed unequal variance Student's t-test. Bars and error bars correspond to the mean and s.e.m., respectively. Representative results of two to four independent experiments are shown.

In vitro studies

Gene expression studies were performed with triplicate wells and immunoblotting experiments were performed using duplicate wells. Average or representative results of two to five independent experiments are shown.

Author contributions

J.M., A.V.L., P.V.M. and M.E.G. generated data; R.M.E., M.J.G. and R.M.C. generated reagents; C.B.C. generated the metabolomics data and TMAO quantification; K.J.C. contributed to the atherosclerosis studies; D.V. generated the human data; the Morbid Obesity Study Group acquired the liver biopsy specimens. J.M. and S.B.B. generated the hypothesis, designed the experiments, analyzed the data and wrote the manuscript; all authors contributed to the discussion.

Additional information

Accession codes: Microarray data have deposited in GEO under accession code GSE65624.

How to cite this article: Miao, J. et al. Flavin-containing monooxygenase 3 as a potential player in diabetes-associated atherosclerosis. Nat. Commun. 6:6498 doi: 10.1038/ncomms7498 (2015).

Supplementary Material

Supplementary Information

Supplementary Figures 1-5, Supplementary Tables 1-3 and Supplementary References

ncomms7498-s1.pdf (769.8KB, pdf)

Acknowledgments

We thank Dr M. White (Boston Children's Hospital), Dr J. Majzoub (Boston Children's Hospital) and Dr J. Cashman (Human BioMolecular Research Institute) for helpful discussion. We also thank J. Haas (INSERM, UMR 1011) for advice on microarray analysis, Y. Tesmenitsky (Brigham and Women's Hospital) for assistance with atherosclerosis measurements, J. Scott (Broad Institute) for assistance with LC/MS measurements, M. Davis (Wake Forest University) for FPLC analysis, and Abhiruchi Mehta (Boston Children's Hospital) and Jordan Grant (Boston Children's Hospital) for general technical assistance. This research was supported by grants HL109650 (S.B.B.), DK100539 (J.M.), AHA Predoctoral Award (A.V.L.), HL48044 (R.E.), FMM-V/2008 (M.A.R.), FMM-VII/2010 and SENDIMAD-I/2009 (G.F.V.).

Contributor Information

Morbid Obesity Study Group:

Esther Torrecilla, Gumersindo Fernández Vázquez, Miguel A. Rubio, Lucio Cabrerizo, Ana Barabash, Andrés Sánchez Pernaute, and Antonio J. Torres

References

  1. Isomaa B. et al. Cardiovascular morbidity and mortality associated with the metabolic syndrome. Diabetes Care 24, 683–689 (2001) . [DOI] [PubMed] [Google Scholar]
  2. Grundy S. M. et al. Diabetes and cardiovascular disease: a statement for healthcare professionals from the American Heart Association. Circulation 100, 1134–1146 (1999) . [DOI] [PubMed] [Google Scholar]
  3. Cholesterol Treatment Trialists, C.. et al. Efficacy and safety of more intensive lowering of LDL cholesterol: a meta-analysis of data from 170,000 participants in 26 randomised trials. Lancet 376, 1670–1681 (2010) . [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Ginsberg H. Statins in cardiometabolic disease: what makes pitavastatin different? Cardiovasc. Diabetol. 12, (Suppl 1): S1 (2013) . [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Kahn R., Buse J., Ferrannini E. & Stern M. The metabolic syndrome: time for a critical appraisal. Joint statement from the American Diabetes Association and the European Association for the Study of Diabetes. Diabetologia 48, 1684–1699 (2005) . [DOI] [PubMed] [Google Scholar]
  6. Biddinger S. B. & Kahn C. R. From mice to men: insights into the insulin resistance syndromes. Annu. Rev. Physiol. 68, 123–158 (2006) . [DOI] [PubMed] [Google Scholar]
  7. Michael M. D. et al. Loss of insulin signaling in hepatocytes leads to severe insulin resistance and progressive hepatic dysfunction. Mol. Cell 6, 87–97 (2000) . [PubMed] [Google Scholar]
  8. Haas J. T. et al. Hepatic insulin signaling is required for obesity-dependent expression of SREBP-1c mRNA but not for feeding-dependent expression. Cell Metab. 15, 873–884 (2012) . [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Biddinger S. B. et al. Hepatic insulin resistance directly promotes formation of cholesterol gallstones. Nat.Med. 14, 778–782 (2008) . [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Semple R. K. et al. Postreceptor insulin resistance contributes to human dyslipidemia and hepatic steatosis. J. Clin. Invest. 119, 315–322 (2009) . [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Biddinger S. B. et al. Hepatic insulin resistance is sufficient to produce dyslipidemia and susceptibility to atherosclerosis. Cell Metab. 7, 125–134 (2008) . [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Koeth R. A. et al. Intestinal microbiota metabolism of l-carnitine, a nutrient in red meat, promotes atherosclerosis. Nat. Med. 19, 576–585 (2013) . [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Bennett B. J. et al. Trimethylamine-N-oxide, a metabolite associated with atherosclerosis, exhibits complex genetic and dietary regulation. Cell Metab. 17, 49–60 (2013) . [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Torrecilla E. et al. Liver upregulation of genes involved in cortisol production and action is associated with metabolic syndrome in morbidly obese patients. Obes. Surg. 22, 478–486 (2012) . [DOI] [PubMed] [Google Scholar]
  15. Li X. C. & Zhuo J. L. Current insights and new perspectives on the roles of hyperglucagonemia in non-insulin-dependent type 2 diabetes. Curr. Hypertens. Rep. 15, 522–530 (2013) . [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Bujalska I. J., Kumar S. & Stewart P. M. Does central obesity reflect "Cushing's disease of the omentum"? Lancet 349, 1210–1213 (1997) . [DOI] [PubMed] [Google Scholar]
  17. Di Dalmazi G., Pagotto U., Pasquali R. & Vicennati V. Glucocorticoids and type 2 diabetes: from physiology to pathology. J. Nutr. Metab. 2012, 525093 (2012) . [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Haas J. T. & Biddinger S. B. Dissecting the role of insulin resistance in the metabolic syndrome. Curr. Opin. Lipidol. 20, 206–210 (2009) . [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Matsumoto M., Pocai A., Rossetti L., Depinho R. A. & Accili D. Impaired regulation of hepatic glucose production in mice lacking the forkhead transcription factor Foxo1 in liver. Cell Metab. 6, 208–216 (2007) . [DOI] [PubMed] [Google Scholar]
  20. Warrier M. et al. The TMAO-generating enzyme flavin monooxygenase 3 is a central regulator of cholesterol balance. Cell Rep. doi: 10.1016/j.celrep.2014.12.036 (2015) . [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Wang Z. et al. Gut flora metabolism of phosphatidylcholine promotes cardiovascular disease. Nature 472, 57–63 (2011) . [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Shih D. M. et al. Flavin containing monooxygenase 3 exerts broad effects on glucose and lipid metabolism and atherosclerosis. J. Lipid Res. 56, 22–37 (2015) . [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Horton J. D. Sterol regulatory element-binding proteins: transcriptional activators of lipid synthesis. Biochem. Soc. Trans. 30, 1091–1095 (2002) . [DOI] [PubMed] [Google Scholar]
  24. Radhakrishnan A., Goldstein J. L., McDonald J. G. & Brown M. S. Switch-like control of SREBP-2 transport triggered by small changes in ER cholesterol: a delicate balance. Cell Metab. 8, 512–521 (2008) . [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Miao J. et al. Hepatic insulin signaling is required for cholesterologenic gene expression. J. Lipid Res. 55, 659–667 (2014) .24516236 [Google Scholar]
  26. Stittrich A. B. et al. The microRNA miR-182 is induced by IL-2 and promotes clonal expansion of activated helper T lymphocytes. Nat. Immunol. 11, 1057–1062 (2010) . [DOI] [PubMed] [Google Scholar]
  27. Guttilla I. K. & White B. A. Coordinate regulation of FOXO1 by miR-27a, miR-96, and miR-182 in breast cancer cells. J. Biol. Chem. 284, 23204–23216 (2009) . [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Kim K. M. et al. miR-182 is a negative regulator of osteoblast proliferation, differentiation, and skeletogenesis through targeting FoxO1. J. Bone Mineral Res. 27, 1669–1679 (2012) . [DOI] [PubMed] [Google Scholar]
  29. Jeon T. I. et al. An SREBP-responsive microRNA operon contributes to a regulatory loop for intracellular lipid homeostasis. Cell Metab. 18, 51–61 (2013) . [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Bennett M. K., Seo Y. K., Datta S., Shin D. J. & Osborne T. F. Selective binding of sterol regulatory element-binding protein isoforms and co-regulatory proteins to promoters for lipid metabolic genes in liver. J. Biol. Chem. 283, 15628–15637 (2008) . [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Horton J. D., Goldstein J. L. & Brown M. S. SREBPs: activators of the complete program of cholesterol and fatty acid synthesis in the liver. J. Clin. Invest. 109, 1125–1131 (2002) . [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Strong A. et al. Hepatic sortilin regulates both apolipoprotein B secretion and LDL catabolism. J. Clin. Invest. 122, 2807–2816 (2012) . [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Zhang Y. et al. Hepatic expression of scavenger receptor class B type I (SR-BI) is a positive regulator of macrophage reverse cholesterol transport in vivo. J. Clin. Invest. 115, 2870–2874 (2005) . [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Wan M. et al. Postprandial hepatic lipid metabolism requires signaling through Akt2 independent of the transcription factors FoxA2, FoxO1, and SREBP1c. Cell Metab. 14, 516–527 (2011) . [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Li Q. et al. Synchronous evolution of an odor biosynthesis pathway and behavioral response. Curr. Biol. 23, 11–20 (2013) . [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Tang W. H. et al. Intestinal microbial metabolism of phosphatidylcholine and cardiovascular risk. N. Engl. J. Med. 368, 1575–1584 (2013) . [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Shih D. M. et al. Flavin containing monooxygenase 3 exerts broad effects on glucose and lipid metabolism and atherosclerosis. J Lipid Res 56, 22–37 (2015) . [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Gross D. N., Wan M. & Birnbaum M. J. The role of FOXO in the regulation of metabolism. Curr. Diab. Rep. 9, 208–214 (2009) . [DOI] [PubMed] [Google Scholar]
  39. Dong X. C. et al. Inactivation of hepatic Foxo1 by insulin signaling is required for adaptive nutrient homeostasis and endocrine growth regulation. Cell Metab. 8, 65–76 (2008) . [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Cheng Z. et al. Foxo1 integrates insulin signaling with mitochondrial function in the liver. Nat. Med. 15, 1307–1311 (2009) . [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Lu M. et al. Insulin regulates liver metabolism in vivo in the absence of hepatic Akt and Foxo1. Nat. Med. 18, 388–395 (2012) . [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Leavens K. F., Easton R. M., Shulman G. I., Previs S. F. & Birnbaum M. J. Akt2 is required for hepatic lipid accumulation in models of insulin resistance. Cell Metab. 10, 405–418 (2009) . [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Gross D. N., van den Heuvel A. P. & Birnbaum M. J. The role of FoxO in the regulation of metabolism. Oncogene 27, 2320–2336 (2008) . [DOI] [PubMed] [Google Scholar]
  44. Kamagate A. et al. FoxO1 mediates insulin-dependent regulation of hepatic VLDL production in mice. J. Clin. Invest. 118, 2347–2364 (2008) . [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Samuel V. T. et al. Targeting foxo1 in mice using antisense oligonucleotide improves hepatic and peripheral insulin action. Diabetes 55, 2042–2050 (2006) . [DOI] [PubMed] [Google Scholar]
  46. Zhang W. et al. FoxO1 regulates multiple metabolic pathways in the liver: effects on gluconeogenic, glycolytic, and lipogenic gene expression. J. Biol. Chem. 281, 10105–10117 (2006) . [DOI] [PubMed] [Google Scholar]
  47. Saxena R. et al. Genetic variation in GIPR influences the glucose and insulin responses to an oral glucose challenge. Nat. Genet. 42, 142–148 (2010) . [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Guo S. et al. The Irs1 branch of the insulin signaling cascade plays a dominant role in hepatic nutrient homeostasis. Mol. Cell Biol. 29, 5070–5083 (2009) . [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Roberts L. D., Souza A. L., Gerszten R. E. & Clish C. B. Curr. Protoc. Mol. Biol eds Frederick M. A.et al. Chapter 30, Unit 30 32 31-24 (2012) . [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Brown J. M. et al. Targeted depletion of hepatic ACAT2-driven cholesterol esterification reveals a non-biliary route for fecal neutral sterol loss. J. Biol. Chem. 283, 10522–10534 (2008) . [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Lee R. G. et al. Plasma cholesteryl esters provided by lecithin:cholesterol acyltransferase and acyl-coenzyme a:cholesterol acyltransferase 2 have opposite atherosclerotic potential. Circ. Res. 95, 998–1004 (2004) . [DOI] [PubMed] [Google Scholar]
  52. Gautier L., Cope L., Bolstad B. M. & Irizarry R. A. affy-analysis of Affymetrix GeneChip data at the probe level. Bioinformatics 20, 307–315 (2004) . [DOI] [PubMed] [Google Scholar]
  53. Wettenhall J. M. & Smyth G. K. limmaGUI: a graphical user interface for linear modeling of microarray data. Bioinformatics 20, 3705–3706 (2004) . [DOI] [PubMed] [Google Scholar]
  54. Rhee E. P. et al. Lipid profiling identifies a triacylglycerol signature of insulin resistance and improves diabetes prediction in humans. J. Clin. Invest. 121, 1402–1411 (2011) . [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Reich M. et al. GenePattern 2.0. Nat. Genet. 38, 500–501 (2006) . [DOI] [PubMed] [Google Scholar]
  56. Chen G., Liang G., Ou J., Goldstein J. L. & Brown M. S. Central role for liver X receptor in insulin-mediated activation of Srebp-1c transcription and stimulation of fatty acid synthesis in liver. Proc. Natl Acad. Sci. USA 101, 11245–11250 (2004) . [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Dirlam K. A., Gretch D. G., LaCount D. J., Sturley S. L. & Attie A. D. Expression and characterization of a truncated, soluble, low-density lipoprotein receptor. Protein Expr. Purif. 8, 489–500 (1996) . [DOI] [PubMed] [Google Scholar]

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Supplementary Materials

Supplementary Information

Supplementary Figures 1-5, Supplementary Tables 1-3 and Supplementary References

ncomms7498-s1.pdf (769.8KB, pdf)

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