Modulation of gut microbiota by antibiotics improves insulin signalling in high-fat fed mice
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A high-fat dietary intake induces obesity and subclinical inflammation, which play important roles in insulin resistance. Recent studies have suggested that increased concentrations of circulating lipopolysaccharide (LPS), promoted by changes in intestinal permeability, may have a pivotal role in insulin resistance. Thus, we investigated the effect of gut microbiota modulation on insulin resistance and macrophage infiltration.
Swiss mice were submitted to a high-fat diet with antibiotics or pair-feeding for 8 weeks. Metagenome analyses were performed on DNA samples from mouse faeces. Blood was collected to determine levels of glucose, insulin, LPS, cytokines and acetate. Liver, muscle and adipose tissue proteins were analysed by western blotting. In addition, liver and adipose tissue were analysed, blinded, using histology and immunohistochemistry.
Antibiotic treatment greatly modified the gut microbiota, reducing levels of Bacteroidetes and Firmicutes, overall bacterial count and circulating LPS levels. This modulation reduced levels of fasting glucose, insulin, TNF-α and IL-6; reduced activation of toll-like receptor 4 (TLR4), c-Jun N-terminal kinase (JNK), inhibitor of κ light polypeptide gene enhancer in B cells, kinase β (IKKβ) and phosphorylated IRS-1 Ser307; and consequently improved glucose tolerance and insulin tolerance and action in metabolically active tissues. In addition, there was an increase in portal levels of circulating acetate, which probably contributed to an increase in 5′-AMP-activated protein kinase (AMPK) phosphorylation in mice. We observed a striking reduction in crown-like structures (CLS) and F4/80+ macrophage cells in the adipose tissue of antibiotic-treated mice.
These results suggest that modulation of gut microbiota in obesity can improve insulin signalling and glucose tolerance by reducing circulating LPS levels and inflammatory signalling. Modulation also appears to increase levels of circulating acetate, which activates AMPK and finally leads to reduced macrophage infiltration.
KeywordsGut microbiota High-fat diet Inflammation Insulin resistance Lipopolysaccharide
Thymoma viral proto-oncogene 1
5′-AMP-activated protein kinase
Basic local alignment search tool X
Epidermal-growth-factor-like module-containing mucin-like hormone receptor-like 1
Glucose infusion rate
Nuclear factor of κ light polypeptide gene enhancer in B cells inhibitor, α
Ιnhibitor of nuclear factor κ-B kinase subunit β
c-Jun N-terminal kinase
Myeloid differentiation primary response gene 88
Short-chain fatty acid
Toll-like receptor 4
A combination of environmental factors, including high-fat, high-carbohydrate diets and sedentary lifestyles, have led to dramatic increases in the incidence of obesity and its associated disorders worldwide . The chronic low-grade inflammatory status present in obesity and type 2 diabetes is characterised by increased levels of pro-inflammatory cytokines, acute-phase reactants and other stress-induced molecules, and activation of a network of inflammatory signalling pathways .
Recent evidence suggests that gut microbiota are important for the control of body weight and energy homeostasis. Several mechanisms have been proposed for this interaction, but they are not well defined. Increased energy harvesting from gut flora was suggested on the basis of studies in which gut microbiota from lean mice were transplanted to germ-free animals, which then exhibited rapid weight gain, dramatic increases in total and epididymal fat content, and a reduction in lean body mass, even with a lower food intake. These animals went on to develop insulin resistance . Focusing on gut microbiota profiles, Turnbaugh and colleagues  showed different bacteria prevalence in lean vs obese mice, as well as in humans, by metagenomic analysis, relying on the presence of increased energy harvesting from obesity-associated gut microbiota. Another proposed mechanism is suppression of intestinal fasting-induced adipose factor (FIAF), which is an adipose tissue lipoprotein lipase (LPL) inhibitor that limits adipocyte uptake of fatty acids and triacylglycerol accumulation, and modulates peroxisomal proliferator-activated receptor coactivator 1α (PGC-1α) which, in turn, activates key enzymes involved in mitochondrial fatty acid oxidation. 5′-AMP-activated protein kinase (AMPK) is persistently activated in germ-free mice, and is reduced when microbiota are transplanted to these animals, consequently reducing mitochondrial fatty acid oxidation . Most of these mechanisms may contribute to the ways in which gut microbiota can modulate fat storage and energy homeostasis [4, 5, 6, 7]. However, the connections between gut microbiota and insulin sensitivity and signalling are incompletely understood.
In theory, gut microbiota might regulate insulin sensitivity by multiple mechanisms but, clearly, lipopolysaccharides (LPSs) and short-chain fatty acids (SCFAs) from gut microbiota, signalling through toll-like receptor 4 (TLR4) and AMPK, respectively, in host tissues, are potentially important candidates for mediating this modulation. However, the correlation between changes in gut microbiota and the influence of these signalling pathways in insulin sensitivity has not yet been investigated.
It has been established that a high-fat diet (HFD) can modulate gut microbiota in mice, altering the percentages of particular species of bacteria. In addition, antibiotics can downregulate gut microbiota dramatically, reducing the number of colonies and also modulating some bacterial species. The aim of the present study was to use these approaches to gut microbiota modulation - HFD and/or antibiotics - to investigate correlations between changes in microbiota and insulin sensitivity and signalling, and, at the same time, the possible mechanism that accounts for these effects.
Antibodies were purchased from Santa Cruz Biotechnology (Santa Cruz, CA, USA), except for anti-nuclear factor of κ light polypeptide gene enhancer in B cells inhibitor, α (IκBα), anti-phosphorylated AMPK, anti-AMPK, anti-acetyl-CoA carboxylase (ACC), anti-phosphorylated ACC and anti-TLR4 were purchased from Cell Signaling Technology (Beverly, MA, USA). Human recombinant insulin (Humulin) was purchased from Eli Lilly (Indianapolis, IN, USA). Routine reagents were purchased from Sigma-Aldrich (Saint Louis, MO, USA), unless otherwise specified.
Six-week-old male Swiss mice were obtained from the UNICAMP Central Animal Breeding Centre (Campinas, São Paulo, Brazil). Animals (n = 6 per group) were housed in individual cages with free access to water and rodent chow under a 12 h light/dark cycle. Diet-induced obesity was promoted by feeding mice with an HFD for 12 weeks. The HFD consisted of 55% of energy derived from fat, 29% from carbohydrates and 16% from protein. All procedures were approved by the Ethics Committee of the State University of Campinas.
Mice fed the HFD received antibiotic treatment (ampicillin, neomycin and metronidazole, each at 1 g/l) in place of drinking water for 8 weeks.
Animals fed the HFD were pair-fed to prevent weight differences between groups of mice.
Faecal samples were frozen in liquid nitrogen and stored at –80°C until use. At this time, DNA was extracted using the QIAamp DNA Stool Mini Kit (Qiagen, Hilden, Germany) and quantified. Libraries were synthesised from 500 ng total DNA following Rapid Library Preparation Kit instructions (Roche Applied Science, Mannheim, Germany). These libraries were analysed in a bioanalyser using the High Sensitive DNA Kit (Agilent Technologies, Santa Clara, CA, USA), and equimolar pools were made, titrated and submitted to large-volume PCR following the manufacturers’ instructions (Roche Applied Science, Mannheim, Germany). Samples were then sequenced in GS FLX Titanium using the GS FLX Titanium PicoTiterPlate Kit combined with the GS FLX Titanium Sequencing Kit XLR70 (Roche Applied Science, Mannheim, Germany). The readouts obtained from the sequencing were analysed by bioinformatics using basic local alignment search tool X (BLASTX), observed with METAREP software, and compared according to phylum prevalence among groups.
Culture-based microbial analysis of caecal contents
Total aerobic and anaerobic bacteria were enumerated in selective media and incubation conditions according to Schumann et al . Briefly, caecal samples were diluted in Ringer medium, and total aerobic and anaerobic bacteria were investigated by plating onto trypcase soy agar + 5% sheep blood (TSS) medium (Biomerieux, Lyon, France) for 24–48 h at 37°C under aerobic and anaerobic conditions. Bacterial numbers were expressed as colony forming units (CFU)/g caecal content .
Blood was withdrawn and centrifuged (1,000 g for 15 min). Serum was deproteinised with methanol (1:5 dilution), and centrifuged at 50,000 g for 10 min at 4°C. The supernatant fraction was separated chromatographically using an Acquity ultra performance liquid chromatography (UPLC), a BEH amide column (2.1 × 100 mm, 1.7 μm) and injected in a Quattro Micro API mass spectrometer (Waters, Milford, MA, USA) for measurement of acetate concentration.
Insulin tolerance test
Mice were fasted for 8 h and subjected to a 30 min insulin tolerance test (1.5 U/kg); the glucose disappearance rate was calculated as previously described .
Intraperitoneal glucose tolerance test
After fasting the mice for 8 h, a glucose tolerance test was performed. Glucose (1 g/kg) was injected intraperitoneally and blood samples were collected from the tail vein at different time points up to 120 min to determine blood glucose levels.
ELISA kits were used to determine insulin (Millipore, St Charles, MO, USA), TNF-α and IL-6 (Thermo Fisher Scientific, Rockford, IL, USA).
After an overnight fast, mice were anaesthetised and catheterised. A 120 min hyperinsulinaemic–euglycaemic clamp was carried out with a prime continuous insulin infusion (30 mU kg−1 min−1). Blood glucose was measured at 5 min intervals and glucose (5% wt/vol.) was infused at a variable rate to maintain blood glucose at fasting levels.
Sterile serum samples, obtained from portal vein blood, were diluted to 20% (vol./vol.) with endotoxin-free water and then heated to 70°C for 10 min to inactivate serum proteins. LPS was quantified using a commercially available Limulus Amebocyte Assay (Cambrex, Walkersville, MD, USA), according to the manufacturer’s protocol.
Sodium acetate administration
Sodium acetate was administered to lean mice by oral gavage (1 g/kg) 30 and 60 min before tissue extraction or by venous infusion. For the infusion, lean mice were anaesthetised, a catheter inserted into the jugular vein and the solution containing 6 μg of sodium acetate was infused with a syringe pump (KD Scientific, Holliston, MA, USA). After the specified time of the oral gavage and immediately after acetate infusion, blood was withdrawn and liver, muscle and adipose tissue homogenised in specific extraction buffer.
Tissue extraction, immunoprecipitation and protein analysis by immunoblotting
Mice fasted for 8 h were anaesthetised, the abdominal cavity was opened, the vena cava exposed and NaCl (0.9% wt/vol.) solution or insulin (10-6 mol/l) was injected. Liver, muscle and adipose tissue were removed, minced coarsely and homogenised in specific extraction buffer. Tissue extracts were incubated overnight with myeloid differentiation primary response gene 88 (MyD88) and IRS-1 antibody and immunoprecipitated using protein A Sepharose 6MB (GE Healthcare, Uppsala, Sweden). The immunoprecipitates and whole-tissue extracts were subjected to SDS-PAGE and immunoblotted with specific antibodies. Immunoreactive bands were detected by chemiluminescence (Supersignal West Pico Chemiluminescent Substrate, Thermo Fisher Scientific).
Liver and adipose tissue histology
Liver and epididymal white adipose tissue were dissected and fixed by immersion in 4% (wt/vol.) paraformaldehyde in phosphate buffer, pH 7.4 for 24 h, dehydrated, cleared and then embedded in paraffin. Sections (5 μm) were obtained and stained by haematoxylin and eosin to assess morphology. Tissue analyses were performed blinded by an expert pathologist (AAS). Adipose tissue was evaluated by crown-like structure (CLS) density (average CLS number within ten high-power fields per animal) and mean adipocyte surface area, using Imagelab Analysis software, as previously described .
Liver and adipose tissue immunohistochemistry
Tissue sections, 5 μm, were mounted on silanised glass slides, processed and incubated with epidermal-growth-factor-like module-containing mucin-like hormone receptor-like 1 (F4/80) primary antibody, as previously described . Antibody staining was performed using an IHC-peroxidase kit (Advance HRP, Dako CytoMation, Carpinteria, CA, USA) according to the manufacturer’s instructions. Three different high-power fields from three different sections were evaluated blinded by an expert pathologist (AAS). The total number of nuclei of F4/80-expressing cells was counted for each field and the area occupied by these cells was measured.
Results are expressed as mean ± SEM. Blot results are presented as direct comparisons of bands in autoradiographs quantified by optical densitometry (UN-SCAN-IT gel; Silk Scientific, Orem, UT, USA). Statistical analyses were performed using a two-way ANOVA with the Bonferroni test for post hoc comparisons and Student’s t test where necessary. A p value <0.05 was considered statistically significant.
Effect of antibiotic treatment on gut microbiota
Effect of antibiotic treatment on metabolic variables of mice fed an HFD
Effect of antibiotic treatment on LPS, proinflammatory cytokines and portal acetate levels
Effect of antibiotic treatment on the TLR4 signalling pathway in HFD-fed mice
Effect of antibiotic treatment on the insulin signalling pathway and AMPK
Effect of acetate on the AMPK and ACC phosphorylation
In order to elucidate whether acetate induces AMPK and ACC phosphorylation, we treated lean mice with an oral sodium acetate bolus and venous infusion and evaluated the phosphorylation states of these proteins. We observed that 60 min after sodium acetate administration, AMPK and ACC were phosphorylated in the liver, muscle and adipose tissue, and similar results were obtained in sodium acetate-infused mice (Fig. 6g–l).
Effect of antibiotic treatment on histology and macrophage infiltration in liver
Effect of antibiotic treatment on histology and macrophage infiltration in adipose tissue
Here we show that an HFD changed gut microbiota in mice, inducing an increase in the percentage of Bacteroidetes that was associated with an increase in circulating LPS levels, a reduction in circulating acetate and a decrease in whole-body insulin tolerance. When these animals were treated with antibiotic as a strategy for intestinal flora modulation, they showed marked reductions in gut bacteria content and circulating LPS, and increases in SCFA levels, which attenuated TLR4 activation. This attenuation, in turn, resulted in improved insulin signalling and inflammatory profiles, and activation of AMPK in hepatic, muscular and adipose tissue. In addition, striking reductions in macrophage infiltration of the liver and fat pad were noted, culminating in prevention of insulin resistance.
Our metagenomic analysis of gut microbiota in HFD-fed mice showed a slight increase in Bacteroidetes prevalence (78.5% vs 61.8%) and a significant decrease in Firmicutes (6.1% vs 31.6%) compared with the control group. This result was similar to results in previous studies [13, 14, 15] that analysed gut microbiota composition in obese and overweight individuals and mice with non-alcoholic steatohepatitis (NASH), but was not in agreement with other previously published data [4, 6]; this is evidence that the gut microbiota profile in obesity is still controversial, and it is possible that differences in the methods used may explain the inconsistencies in the published data. The Verrucomicrobia phylum, which has two Gram-negative sister phyla, Chlamydiae and Lentisphaerae, has not been much explored in the literature, is present in low percentages in control mice, but showed considerable prevalence in animals subjected to an HFD (0.03% vs 13.65%). Mice subjected to antibiotic treatment showed a huge difference in gut microbiota profiles compared with control and pair-fed groups. Almost all Bacteroidetes and Firmicutes were eradicated from the intestinal lumen, the same fate as for Verrucomicrobia in antibiotic-treated mice, but these changes were accompanied by a striking increase in Proteobacteria, which was almost the sole phylum present (97%). Even with the high prevalence of Gram-negative bacteria (Proteobacteria), the reduction in circulating levels of LPS is related to the striking reduction in the overall content of bacteria in the intestinal lumen, consequently reducing its uptake, in addition to improving the intestinal barrier function.
Our data showing an increase in circulating portal levels of LPS in mice fed an HFD suggest that gut microbiota are the source of LPS. The data available indicate that translocation of TLR4 agonists, such as LPS, from the gut is an important feature in metabolic diseases such as obesity and NASH, promoting inflammation and insulin resistance in metabolically active tissues [15, 16]. In the present study, we showed that the reduction in circulating LPS levels induced by antibiotic treatment in diet-induced obese mice increased insulin sensitivity, and that this was attenuated by a LPS injection, indicating an important role of bacterial LPS in the phenomenon of insulin resistance.
A great deal of data, gained using LPS injection and sepsis models, have shown the importance of LPS in inflammation and the induction of insulin resistance [17, 18, 19, 20, 21, 22, 23]. The primary mechanism involving LPS is initiated when it binds TLR4, its receptor, which, in turn, associates with MyD88 and triggers its signalling pathway; this, in turn, activates JNK and inhibitor of nuclear factor κ-B kinase subunit β (IKKβ) through IL-1 receptor-associated kinase (IRAK), leading to serine phosphorylation of IRS-1, nuclear factor κB (NF-κB) activation, transcription of pro-inflammatory cytokines and insulin resistance [24, 25].
Cani and colleagues  showed that antibiotic treatment improved inflammation, oxidative stress and macrophage infiltration markers based on adipose tissue mRNA of rodents fed either regular chow or an HFD, with or without antibiotics. They also showed marked augmentation of Zo-1 (also known as Tjp1) mRNA, encoding zonula occludens 1, an important intestinal barrier protein, which correlated with diminished intestinal permeability, reducing circulating LPS levels in antibiotic-treated mice. All those experiments were performed in HFD-fed animals with differences in body weight, and did not exclude the body weight reduction after antibiotic treatment, an important ‘insulin-sensitising’ feature, as we did in the present study. Our experiments were conducted using pair-feeding in order to exclude body weight differences, a consequence of reduced food intake induced by the antibiotic treatment, and show increased insulin signalling activation after gut microbiota modulation in antibiotic-treated mice on the HFD. This decrease in food intake after antibiotic treatment is not uniformly observed in other studies [9, 26], and the differences may be related to the strain of mice, the type of antibiotic used and the period of treatment. In addition, we cannot exclude the possibility that changes in microbiota induced by antibiotics may have affected gut peptides that regulate food intake, such as peptide YY (PYY) and glucagon-like peptide-1 (GLP-1), as previously described .
Our results, similar to previous studies on genetically obese ob/ob mice [9, 28], showed an improvement in the whole metabolism of mice under an HFD treated with antibiotics, based on increases in insulin sensitivity and glucose tolerance, and reductions in fasting glucose and insulin. We also showed that the amelioration of metabolism is mainly related to a reduction in circulating LPS levels, with serum levels of TNF-α and IL-6 remaining the same as in animals fed a standard chow diet. Most of the effects induced by the antibiotic treatment are mediated by modulation of gut microbiota and improvement in intestinal barrier function.
We also report, for the first time, the influence of a reduced LPS concentration after gut microbiota modulation by antibiotic treatment upon downregulation of the TLR4–MyD88 association in liver, muscle and adipose tissue, leading to reduced activation of JNK, IKKβ and serine phosphorylation of IRS-1. An inversely related increase in activation of the insulin signalling pathway was seen in all three tissues . These observations show increased control of inflammation and metabolism mediated by augmented insulin activity in target tissues.
Another important issue regarding the relationship between obesity and gut microbiota is SCFA production, which is based on bacterial fermentation of low- and non-digestible carbohydrates in the diet. Reduction of circulating acetate levels in HFD-fed mice may be related to a reduced dietary carbohydrate:fat ratio, which affects SCFA production . Modifications in the gut microbiota profile promoted by antibiotic therapy induced an increase in the portal levels of circulating acetate. Acetate has the capacity to activate AMPK in liver and muscle , increasing fatty acid oxidation . In a corroborative way, we showed that after oral administration and venous infusion of acetate in mice, phosphorylation of AMPK and ACC was increased. There is evidence that organic acids such as butyrate and acetate can contribute to intestinal immune and barrier functions  and stimulation of mucin production in the gut . Thus, they could also contribute to the reduced intestinal permeability and lower circulating LPS levels seen in antibiotic-treated mice compared with pair-fed mice.
In the liver, acetate may have a role in AMPK activation, based on the increased levels of SCFA in the portal circulation. However, in other peripheral tissues, such as muscle and adipose tissue, the increase in acetate is probably not the main regulator, as we observed that there is no difference in circulating acetate levels among control, high-fat-fed and antibiotic-treated mice (electronic supplementary material [ESM] Fig. 1a). In this regard, other factors, such as the gut hormone GLP-1, which might be modulated by changes in gut microbiota , may also have a role in the activation of AMPK .
It seems paradoxical that a decrease in the total bacteria responsible for SCFA production resulted in an increase in portal acetate levels. However, the decrease in anaerobic bacteria, the main acetate producers, was not as dramatic as the decrease in aerobic bacteria (Fig. 1d) and this would help to keep the acetate production at the same level as in mice not receiving antibiotics and the HFD. It is also possible that a reduction in the use of acetate by intestinal cells and/or an increase in intestinal SCFA transport might have a role in this process, but these points deserve further investigation.
Macrophage activity is related to inflammation and the induction of insulin resistance in metabolically active tissues in obesity and type 2 diabetes, enhancing TNF-α and IL-6 production and activity, mainly in liver and adipose tissue. These are sites preferentially infiltrated by innate immune cells in order to maintain homeostasis and prevent the metabolic dysfunction provoked by high levels of circulating free-fatty acids, glucose and LPS as observed in obese individuals [37, 38].
The reductions in macrophage infiltration in liver and adipose tissue in antibiotic-treated mice, as determined by F4/80 staining, are due to reductions in circulating levels of LPS. Although this molecule can cause inflammation, inducing macrophages to secrete TNF-α and IL-6, thereby promoting insulin resistance, it also induces the production and activity of chemoattractant proteins such as monocyte chemotactic protein 1 (MCP-1), which promotes innate cellular immune responses and translocation in response to stimuli, such as HFD-induced adipose tissue hypertrophy and liver steatosis [39, 40]. It is important to halt the production of inflammatory molecules, which are promoters of insulin resistance, so that macrophage infiltration is prevented, and any macrophages already infiltrating do not receive stimuli to remain infiltrated, as occurs with some drugs or with weight loss [41, 42, 43, 44].
Taken together, our data show that an HFD promotes alterations in the gut microbiota profile that favour inflammation and an insulin-resistant status, with intestinal barrier disruption and high circulating LPS levels, in addition to intense macrophage activity. All these obesity-related features were reversed by changes in the gut microbiota profile induced by antibiotic therapy in mice subjected to an HFD. These observations lead us to suggest that strategies that target modification of the gut microbiota profile could bring immense benefits in preventing and attenuating obesity-related symptoms and metabolic derangement.
The authors thank L. Janeri and J. Pinheiro (Department of Internal Medicine, UNICAMP, Campinas, São Paulo) and R. Souza (Chemistry Institute, UNICAMP, Campinas, São Paulo) for technical assistance and the Institutos Nacionais de Ciência e Tecnologia (INCT)–Bioanalítica.
This work was supported by grants from Fundação de Amparo à Pesquisa do Estado de São Paulo–FAPESP, Conselho Nacional de Pesquisa - CNPq, and Institutos Nacionais de Ciência e Tecnologia (INCT)–Obesidade e Diabetes.
BMC conceived and designed the experiments, researched and interpreted data, contributed to discussions, and wrote, edited and reviewed the article. DG, DMLT, AAS, PL-F, JV and JCD researched and interpreted data and reviewed the article. LTK interpreted data and reviewed the manuscript. JBCC contributed to discussions and reviewed the article. MJAS designed the experiments, interpreted data, contributed to discussions, and edited and reviewed the article. All authors approved the final version.
Duality of interest
The authors declare that there is no duality of interest associated with this manuscript.
- 33.Ishizuka S, Tanaka S, Xu H, Hara H (2004) Fermentable dietary fiber potentiates the localization of immune cells in the rat large intestinal crypts. Exp Biol Med 229:876–884Google Scholar