Emanuel Fabersani1
María Claudia Abeijon-Mukdsi1,2
Romina Ross2,3
Roxana Medina1,3
Silvia González3
Paola Gauffin-Cano1,2*
- 1Centro de Referencia para Lactobacilos (CERELA) – CONICET, Tucumán, Argentina
- 2Facultad Ciencias de la Salud, Universidad del Norte Santo Tomás de Aquino (UNSTA), Tucumán, Argentina
- 3Universidad Nacional de Tucumán (UNT), Tucumán, Argentina
Obesity induces local/systemic inflammation accompanied by increases in macrophage infiltration into adipose tissue and production of inflammatory cytokines, chemokines, and hormones. Previous studies have shown that probiotics could improve the intestinal dysbiosis induced by metabolic diseases such as obesity, diabetes, and metabolic syndrome. Microorganisms could (directly or indirectly) affect adipokine levels due to their capacity to induce translocation of several intestinal microbial antigens into systemic circulation, which could lead to metabolic endotoxemia or produce immunomodulation in different organs. The aim of the present study was to select non-inflammatory lactic acid bacteria (LAB) strains with the capacity to modulate adipokine secretion by the adipose tissue. We wish to elucidate the role of potential probiotic strains in the regulation of the cross talking between immune cells such as macrophages and adipose cells. Mouse macrophage cell line RAW 264.7 was used for evaluating the ability of 14 LAB strains to induce cytokine production. The LAB strains were chosen based on their previously studied beneficial properties in health. Then, in murine adipocyte culture and macrophage–adipocyte coculture, we determined the ability of these strains to induce cytokines and leptin secretion. Tumor necrosis factor alpha, interleukin 6 (IL-6), IL-10, monocyte chemoattractant protein-1, and leptin levels were measured in cell supernatants. We also performed the detection and quantification of leptin receptor (Ob-Rb) expression in macrophage cell lines stimulated by these LAB strains. Differential secretion profile of cytokines in macrophage cells induced by LAB strains was observed. Also, the levels of Ob-Rb expression diverged among different LAB strains. In LAB-stimulated coculture cells (adipocytes and macrophages), we observed differential production of leptin and cytokines. Furthermore, we detected lower production levels in single culture than cocultured cells. The principal component analysis showed an association between the four clusters of strains established according to their inflammatory profiles and leptin adipocyte production and leptin receptor expression in macrophages. We conclude that coculture is the most appropriate system for selecting strains with the ability to modulate adipokine secretion. The use of microorganisms with low and medium inflammatory properties and ability to modulate leptin levels could be a strategy for the treatment of some metabolic diseases associated with dysregulation of immune response.
Introduction
Since the discovery of leptin, 21 years ago (1), the adipose tissue was the focus of several functional studies, in such a way that nowadays it could be considered as a potent endocrine and immune organ (2–5). This feature is due to the peculiarity of the different cells that form this tissue: adipocytes, preadipocytes, endothelial cells, fibroblasts, and numerous immune cells including macrophages, B cells, T cells, and neutrophils mainly. The cross talk between these cells affects the composition of the adipose tissue-produced molecules (6, 7). By means of these molecules, called adipokines, the adipose tissue influences the regulation of several important physiological functions such as appetite, satiety, energy expenditure, insulin sensitivity and secretion, glucose and lipid metabolism, fat distribution, endothelial function, blood pressure, neuroendocrine regulation, and immune function. Under conditions of adipose tissue dysfunction, frequently associated with obesity or undernourishment, the secretion of adipokines is dysregulated, affecting physiological functions and the host’s health (8–13). Currently, more than 600 adipokines are known. The most studied ones include leptin, adiponectin, resistin, visfatin, plasminogen activator inhibitor-1, tissue factor, tumor necrosis factor alpha (TNF-α), transforming growth factor beta, monocyte chemoattractant protein-1 (MCP-1), interleukin 6 (IL-6), and IL-8 (9). Leptin and adiponectin are adipose-derived factors with particular interest due to their potential as therapeutics in obesity treatment (14). Syndromes of malnutrition associated with excess/lack or dysfunction of adipose tissue certainly belong to these kinds of diseases (10).
Previous studies showed that adipokine levels could be affected by changes in the gut structure or in the composition of microbiota (13). Scientific evidence from both animal and human studies supports the relationship between the composition and function of intestinal microbiota and the alterations observed in metabolic and inflammatory syndromes. Consequently, the design of more effective dietary strategies for improving the treatment and prevention of metabolic diseases via modification of the gut microbiota composition or function is of increasing interest (15). In this context, Cani et al. (16) reported that changes in gut microbiota (following a high-fat diet or genetically induced obesity) contribute to increased gut permeability, metabolic endotoxemia [higher serum lipopolysaccharide (LPS) levels], and low-grade inflammation-induced metabolic disorders (insulin resistance and diabetes), while its restoration by prebiotic and probiotic strategies ameliorate those adverse effects. Potential probiotic strains have been shown to play a role in nutritional disorders, including both under and overnutrition in human and animal studies (17–25).
In this context, we demonstrated that oral administration of potential probiotic bacteria to a high-fat diet-induced obesity mice model ameliorates the alterations of leptin and cytokine levels along with partial restoration of the obesity-induced dysbiosis (21, 22). Recently, in vitro and in vivo studies demonstrated the influence of lactobacilli and bifidobacteria on adipokine levels (18, 21, 26). Considering the pleiotropic role of leptin in energy balance, the administration of commensal bacteria able to regulate its secretion and function could be an attractive strategy for the management of malnutrition (undernutrition and obesity), but appropriate strains need to be selected (27).
Circulating levels of leptin, an adipocyte-secreted hormone, are decreased or increased in undernutrition or obesity, respectively, and have thus been proposed to be a link between nutritional status and immune function (28–30). Papathanassoglou et al. (31) suggested the notion that nutritional status, acting via leptin-dependent mechanisms, may alter the nature and vigor of the immune response. Moreover, these authors showed that Ob-Rb, the leptin receptor, is expressed in normal mouse lymphocyte subsets and that leptin plays a role in lymphocyte survival, which alters the Ob-Rb/STAT-3-mediated signaling in T cells (31). In addition, it has been suggested that microbial products associated with immunobiotics (immunoregulatory probiotics) can also cross the intestinal barrier, being able to modulate distant tissues (such as adipose tissue) through the induction of changes in cytokine profiles (32). Miyazawa et al. in an in vitro study using conditioned medium showed that different lactobacilli may suppress differentiation of preadipocytes through macrophage activation and alter the immune responses of macrophages to adipose cells (33).
Therefore, we consider significant to establish a suitable criterion for the selection of immunobiotic strains with anti-inflammatory properties and ability to modulate leptin production. These bacterial capacities in this “next-generation of probiotics” would be useful to be applied in alternative treatments for diseases in which the profile of adipokines is deregulated (obesity, metabolic syndrome) (27).
The aim of the present study was to select non-inflammatory lactic acid bacteria (LAB) strains with capacity to modulate adipokine secretion in the adipose tissue. The LAB strains were selected for this study by their probiotic properties previously determined (17, 23, 34–38). To achieve this purpose, first we evaluated in murine macrophages the ability of different strains to induce the secretion of cytokines and chemokines (pro-inflammatory and anti-inflammatory responses) involved in metabolic inflammation (TNF-α, IL-6, IL-10, and MCP-1). The infiltration of adipose tissue by macrophages is an important event causing increased inflammatory process in obesity (39–41). In addition, leptin and cytokines and one chemokine secretion in murine adipocytes (mono- and coculture with macrophages) were investigated in order to understand the role of potential probiotic strains in the adipokine modulation. We also evaluated the leptin receptor (Ob-Rb) expression in macrophages, a molecule constitutively expressed in immune cells such as macrophages, B cells, and T cells (31).
Materials and Methods
Bacterial Strains and Culture Conditions
Lactic acid bacteria strains were obtained from the Centro de Referencia para Lactobacilos (CERELA, Tucumán, Argentina) culture collection. They were isolated in our laboratory from regional products and stools of healthy infants. All the employed bacteria used in this work could potentially be considered as probiotic strains or as starter cultures for meat or milk fermentation. Probiotic properties previously determined were immunomodulation, production of conjugated linoleic acid, feruloyl esterase activity, protection against intestinal infections, etc (17, 23, 34–38).
Strains used in this study were Lactobacillus casei CRL431, L. acidophilus CRL258, L. acidophilus CRL1063, L. casei CRL66, L. casei CRL72, L. casei CRL117, L. fermentum CRL1446, Lactococcus lactis CRL1434, L. plantarum CRL350, L. plantarum CRL352, L. plantarum CRL353, L. plantarum CRL355, L. paracasei CRL575, and L. rhamnosus CRL576.
Bacteria were cultured in Man–Rogosa–Sharpe (MRS) broth (Britania, Buenos Aires, Argentina) at 37°C for 22 h (stationary growth phase). Cells were harvested by centrifugation (10,000 rpm for 10 min), washed twice with phosphate-buffered saline (PBS, 130 mM sodium chloride, 10 mM sodium phosphate, pH 7.4), and re-suspended in PBS containing 20% (v/v) glycerol. Aliquots of these suspensions were frozen and stored at −80°C until used for in vitro stimulation of macrophage and adipocyte cells. The number of viable cells after freezing and thawing was determined by colony-forming unit counting on MRS agar after 48 h incubation in microaerophilia. For each strain tested, more than 90% cells remained alive upon thawing, and no significant differences were found during storage time (2 months). One fresh aliquot was thawed for every new experiment to avoid variability in the viability of cultures in the experiments.
Ability of LAB Strains to Induce Cytokine Secretion by Macrophages
Mouse macrophage cell line RAW 264.7 was used for evaluating the ability of different LAB strains to induce cytokine production as previously determined (21). Cells were cultured overnight into 24-well flat-bottom polystyrene microtiter plates (Costar® 24 Well Clear TC-Treated Multiple Well Plates, Individually Wrapped, Sterile #3524) at a concentration of 1 × 105 cells per milliliter in Dulbecco’s Modified Eagle’s Medium (DMEM—Gibco #41965-039). Medium was changed before stimulation, and then cells were incubated in the presence of 100 μl of a cell suspension (1 × 107 CFU/ml) of each strain for 24 h. Purified LPS from Escherichia coli serotype O26: B6 (Sigma Chemical Co, USA, #L2654) was used as a positive control, at a final concentration of 1 μg/ml. Cell viability was assessed by the Trypan blue assay. Non-stimulated Raw 264.7 cells were also evaluated as controls of basal cytokine production (control negative). The cell culture supernatants were collected, centrifuged (10,000 rpm for 10 min), and stored at −20°C until cytokine determination.
Detection and Quantification of Obesity Receptor (Ob-Rb) Expression
Macrophages were collected by vigorous pipetting after stimulation with different bacterial strains and immediately washed twice with PBS. Cells (106) were incubated with primary polyclonal antibody rabbit antimouse leptin receptor (Ob-R H300: sc8325, Santa Cruz Biotechnology, Inc.) in PBS-bovine serum albumin (1% w/v), dilution 1/250 (v/v) for 1 h at room temperature, washed twice with PBS-BSA (5%, w/v), and incubated with FITC-conjugated secondary antibodies goat antirabbit IgG-FITC (IgG-FITC: sc-2012 Santa Cruz Biotechnology, Inc.) for an additional 1 h at room temperature in darkness. Cells were washed twice and resuspended in 500 μl PBS (1%, w/v). LPS-stimulated and non-stimulated macrophages were used as positive and negative controls of the leptin receptor expression. Macrophage Ob-Rb (+) was quantified using flow cytometry (BD/FACSCalibur). Gates were set to exclude cell debris and non-specific Ab binding, and results were analyzed using the FACS analysis software (CellQuest; BD Biosciences). Unstained controls were used for setting compensation and gates.
Immunofluorescence microscopy was used to detect the Ob-Rb leptin receptor in the macrophages. The cells were cultured overnight into 24-well flat-bottom polystyrene microtiter plates [Costar® 24 Well Clear TC-Treated Multiple Well Plates, Individually Wrapped, Sterile (Product #3524)] containing glass coverslips 12 mm in diameter, at a concentration of 105 cells per milliliter in DMEM, then, the cells were washed twice with PBS 1× and fixed with paraformaldehyde 1% (SIGMA P6148-500G) in PBS, and incubated with primary and secondary antibodies as previously described for flow cytometry. Finally, a drop of mounting medium (SIGMA F4680, USA) was placed on the labeled cells and then the coverslip, following visualization in a fluorescence microscope (Carl Zeiss—Axio Scope.A1).
Isolation of Murine Adipocytes
Adipocytes from epididymal adipose tissue were isolated from 6-week old Balb/c male mice by collagenase digestion (collagenase from Clostridium histolyticum Type II #C6885 SIGMA, USA) as previously described (42, 43). Briefly, adipose tissues from four to six mice were pooled for adipocyte isolation. Tissue was digested during an hour incubation period at 37°C in DMEM high glucose supplemented with 10% (v/v) fetal bovine serum (FBS), penicillin/streptomycin, and containing 1.5 mg/ml collagenase II under constant agitation. The suspension was subsequently centrifuged at 500 rpm for 5 min at room temperature. The mature adipocyte floated to the surface, and the stromal vascular cells (capillary, endothelial, mast, macrophage, and epithelial cells) were deposited at the bottom. The stromal vascular cells were removed by aspiration, and the fat cells were washed with 10 ml of DMEM high glucose supplemented with 10% FBS and penicillin/streptomycin and centrifuged at 400 rpm for 2 min. This procedure was repeated twice. Two aliquots (10 μl) of cell suspension were stained with Trypan blue and counted on a hemocytometer to estimate the concentration of adipocyte cells. The experimental protocol was approved by the Animal Protection Committee of CERELA (CRL-BIOT-EF-2012/2A) and complied with current Argentinean laws.
Ability of LAB Strains to Induce Cytokine and Leptin Secretion by Murine Adipocytes Culture and Macrophage-Adipocyte Coculture
Adipocyte Culture
Adipocyte cells in 0.5 mL of plating medium were inoculated into 24-well plates at a concentration of 5 × 105 cells/wells, to study the ability of different strains to induce leptin and cytokine production. The cells were maintained in a humidified 5% CO2 atmosphere for 24 h at 37°C. Medium was changed before the LAB stimulation, and then adipocytes were incubated in the presence of 100 μl of a cell suspension 1 × 107 CFU/ml of each strain for 24 h. Purified LPS from E. coli serotype O26:B6 was used at a concentration of 1 μg/ml as a positive control. Non-stimulated adipocytes cells were also evaluated as controls of basal leptin and cytokine production (control negative). Cell viability was assessed by the Trypan blue assay.
Macrophage–Adipocyte Coculture
Experiments of murine adipocytes and macrophages (cell line RAW 264.7) were performed by triplicate in two independent experiments with each strain. Adipocytes were seeded at a concentration of 104 cells/ml into 24-well plates, and macrophage cells were previously cultured at a concentration of 104 cells/ml. The cells were cocultured in a humidified 5% CO2 atmosphere for 24 h at 37°C. Media were changed before stimulation, and then cells were incubated in the presence of 100 μl of each strain suspension (1 × 107 CFU/ml) during 24 h at 37°C in a humidified 5% CO2 atmosphere. Purified LPS from E. coli serotype O26:B6 was used at a concentration of 1 μg/ml as a positive control. Non-stimulated coculture cells were also evaluated as controls of basal leptin and cytokine production (control negative). The coculture supernatants were collected and stored at −20°C until cytokines, chemokine, and leptin were quantified.
Detection of Cytokines and Adipokines
Tumor necrosis factor alpha, IL-6, MCP-1, and IL-10 were quantified in cell supernatants using the BD™ Cytometric Bead Array Mouse Inflammation Kit (BD Bioscience, 560485, San Diego, CA, USA). Leptin concentrations were measured in cell supernatants with a DuoSet kit (R&D Systems, Minneapolis). The assays were performed according to the manufacturer’s instructions.
Statistical Analyses
Statistical analyses were performed using SPSS version 17.0 software (SPSS Inc., Chicago, IL, USA). The data were normally distributed and significant differences were determined by applying one-way ANOVA with post hoc Tukey’s test or Fisher’s least significant difference test. In every case, P-values < 0.05 were considered statistically significant. Principal component analysis (PCA), as a descriptive/exploratory technique, was used in order to reveal relationships between the variables. Further interpretations of any relationships among strains, cytokine and leptin levels, and Ob-Rb expression were obtained using PCA and Pearson correlation coefficients. PCA analysis was performed using the software XLSTAT (18.06).
Results
Differential Secretion Pattern of Cytokines/Chemokine Induced by Different LAB in Macrophages
Results in Figure 1 show the ability of viable LAB to induce cytokines/chemokine production in macrophages. Production of TNF-α and IL-6 (pro-inflammatory cytokines), IL-10 (regulatory cytokine), and MCP-1 (pro-inflammatory chemokine) by macrophages stimulated with several strains was determined. Large differences in the inflammatory profile among surveyed strains were observed. These results showed that the inflammatory property is strain-dependent. All strains induced lower secretion of pro-inflammatory and regulatory cytokines and chemokine than positive control.
Figure 1. Production of tumor necrosis factor alpha (TNF-α), interleukin 6 (IL-6), monocyte chemoattractant protein-1 (MCP-1), and IL-10 by RAW 264.7 cells stimulated with different lactic acid bacteria (LAB) strains. Cytokines/chemokine and leptin concentrations were assayed in supernatants from LAB-stimulated RAW 264.7 cells. Macrophages were treated for 24 h with bacterial cell suspensions, and TNF-α (A), IL-6 (B), MCP-1 (C), and IL-10 (D) levels were quantified using cytometric bead array kit and leptin levels, using enzyme-linked immunosorbent assay test. Purified lipopolysaccharide from Escherichia coli was used as a positive control. Non-stimulated cells were evaluated as controls of basal cytokine levels (negative control). The stimulating strains were CRL431, CRL258, CRL1063, CRL66, CRL72, CRL117, CRL1446 CRL1434, CRL350, CRL352, CRL353, CRL355, CRL575, and L. CRL576 strains. Results are expressed as mean ± SD of triplicate measures determined in two independent experiments. Mean values in the same graphic with different letters (a–d) were significantly different (P < 0.05). The relationships among strains, cytokines/chemokine wer obtained using (PCA) and Pearson correlation coefficients. In the biplot obtained by PCA (E), points are coded by stimulating strains and controls. The position of some points was slightly modified to avoid overlapping of the labels.
Tumor necrosis factor alpha showed values lower than LPS stimulus (positive control), with exception of CRL1063 strains. CRL66 and CRL575 produced the lowest TNF-α secretions (Figure 1A). The highest secretion of IL-6 was observed when the cells were stimulated with strain CRL1434. Intermediate values of IL-6 were observed with CRL66, CRL431, CRL1063, CRL576, CRL575, and CRL372 strains, while with CRL1446, CRL117, CRL72, CRL350, CRL353, CRL355, and CRL143 strains, the lowest values of IL-6 were obtained (Figure 1B). In addition, CRL 1063 induced the highest production of MCP-1 followed by CRL431, CRL72, CRL352, and CRL143 (Figure 1C). Regarding anti-inflammatory cytokine IL-10, the highest levels were obtained in cells stimulated by strains CRL1434 and CRL575, followed by strains CRL1063, CRL72, CRL350, and CRL143 (Figure 1D).
The PCA (Figure 1E) revealed an association between strains into four different groups, according to the inflammatory mediators induced. The cluster I included the CRL355, CRL353, CRL350, CRL576, CRL66, and CRL575 strains. This cluster also comprises the negative control that represents the baseline cytokine secretion, which is positioned far from other strains with a lower inflammatory profile. The cluster II included the CRL117, CRL1446, CRL72, CRL431, and CRL352 strains and in the cluster III, CRL1063 was very closely located in the limit between quadrants II and III. The cluster IV only included the strain CRL1434 with a high inflammatory profile next to LPS stimulus (positive control), since this stimulus produced the highest inflammatory cytokine secretion compared to all studied strains.
Expression of the Ob-Rb on Macrophage RAW 264.7
The influence of different LAB strains on Ob-Rb (leptin receptor) expression in macrophages is shown in Figure 2. Basal Ob-Rb expression was detected in approximately 7.5% of control macrophages (106 cells; negative control or non-stimulated cells; Figures 2A,B). Cells were subsequently stimulated during 24 h by either different LAB or LPS (control positive). Ob-Rb-positive cells increased to a maximum value of about 38% after LPS stimulation, while the percentages of LAB-stimulated macrophages positive for Ob-Rb were lower, except for CRL1434. Levels of Ob-Rb expression diverged among different LAB stimuli. The most significant increase in the percentage of Ob-Rb (+) cells was observed when strain CRL1434 was used as stimulus. The strains CRL66 and CRL1063 induced similar Ob-Rb expression to positive control. CRL1446, CRL431, CRL576, CRL575, and CRL143 strains increased the positive macrophages compared to the basal control. For the other studied LAB strains, no significant changes in Ob-Rb expression were observed compared to negative control. The qualitative immunohistochemistry analyses were also performed in macrophages (Figure 2C).
Figure 2. Leptin receptor (Ob-Rb) expression in RAW 264.7 cells. RAW 264.7 cells after lactic acid bacteria (LAB) stimulation were incubated with a polyclonal rabbit antimouse Ob-Rb Ab and a secondary FITC-conjugated Ab (antirabbit IgG). Ten thousand cells were analyzed per sample at an argon laser flow cytometry scanner. (A) Histograms correspond to the analysis of Ob-Rb expression by non-stimulated (negative control) and LAB-stimulated RAW 264.7 cells. The stimulating strains were CRL431, CRL258, CRL1063, CRL66, CRL72, CRL117, CRL1446 CRL1434, CRL350, CRL352, CRL353, CRL355, CRL575, and CRL576. Lipopolysaccharide (LPS) was used as a positive control. Open black line represents fluorescent labeling of Ob-Rb positive cells of negative control, and gray areas represent other strains stimulus. (B) Percentage of Ob-Rb expression in RAW 264.7 cells. The bars represent the different LAB strains. The results are expressed as media of percentages of cells Ob-Rb (+) ± SD of two experiments. Mean values in the same graphic with different letters (a–d) were significantly different (P < 0.05). (C) Microphotograph representative of the Ob-Rb expression in non-stimulated macrophages (negative control, C-1) and LPS-stimulated macrophages culture (positive control, C-2).
Differential Production of and Cytokines/Chemokine and Leptin in Adipocytes Stimulated with Different LAB Strains
To evaluate whether LAB may directly induce secretion of leptin, cytokines, and chemokine in adipocytes, we stimulated murine adipocyte cultures with several strains. We observed different effects of LAB on TNF-α, IL-6, IL-10, and MCP-1 adipocyte production. The CRL1434 strain induced the highest values of TNF-α; MCP-1 and IL-10 compared to the other strains (Figures 3A,C,D), while CRL350 strain induced the highest levels of IL-6 (Figure 3B).
Figure 3. Production of TNF-α (A), interleukin 6 (IL-6) (B), monocyte chemoattractant protein-1 (MCP-1) (C), IL-10 (D), and leptin (E) by lactic acid bacteria (LAB)-stimulated mice adipocytes. Cytokines/chemokine and leptin concentrations were assayed in supernatants from LAB-stimulated mice adipocytes. Adipocytes were treated for 24 h with bacterial cell suspensions, and TNF-α, IL-6, MCP-1, and IL-10 levels were quantified using Cytometric Bead Array Kit and leptin levels, using enzyme-linked immunosorbent assay test. LPS was used as a positive control. Non-stimulated cells were evaluated as controls of basal cytokine levels (negative control). The stimulating strains were CRL431, CRL258, CRL1063, CRL66, CRL72, CRL117, CRL1446 CRL1434, CRL350, CRL352, CRL353, CRL355, CRL575, and L. CRL576 strains. Results are expressed as mean ± SD of triplicate measures determined in two independent experiments. Mean values in the same graphic with different letters (a–g) were significantly different (P < 0.05).
As shown in Figure 3E, leptin production is modulated by LAB in a strain-dependent manner. We showed that LPS was able to induce a significantly higher leptin production compared to negative control. Similar effect was observed for CRL66 and CRL575 strains. The CRL1434 and CRL143 strains induced more leptin production than positive control. In contrast, lower levels of leptin secretion were secreted by adipocytes treated with the CRL431, CRL1063, CRL72, CRL355, and CRL352 strains compared to negative control. Leptin levels produced by adipocyte stimulated with CRL1446, CRL117, CRL350, CRL576, and CRL353 strains were significantly from those detected in the negative and positive controls.
Differential Production of Cytokines/Chemokine and Leptin by Cocultured Cells (Adipocytes and Macrophages) Stimulated with Different LAB Strains
To assess whether LAB may directly induce production of TNF-α, IL-6, MCP-1, IL-10, and leptin by the macrophage–adipocyte coculture, we stimulated these cells with the bacterial strains (Figure 4). Different effects of LAB on cytokine production in the cell coculture were observed (Figures 4A–D). All strains induced lower cytokines production than positive control. The CRL1434 strain was the most effective stimulating both inflammatory (TNF-α, IL-6, and MCP-1) and anti-inflammatory (IL-10) cytokines secretion. The CRL431, CRL1063, CRL72, CRL355, and CRL352 strains induced significantly higher TNF-α values than CRL1446, CRL66, CRL350, CRL576, CRL353, CRL575, and CRL143 (Figure 4A). Regarding IL-6 production, almost all strains induced intermediated levels between positive and negative controls (Figure 4B). The CRL431 strain was the most potent inductor of MCP-1 secretion (Figure 4C), meanwhile CRL1434 strain was the best inductor of IL-10 secretion (Figure 4D).
Figure 4. Production of tumor necrosis factor alpha (TNF-α), interleukin 6 (IL-6), monocyte chemoattractant protein-1 (MCP-1), IL-10, and leptin by macrophage/adipocyte coculture stimulated with lactic acid bacteria (LAB) strains. Cytokines/chemokine and leptin concentrations were assayed in supernatants from LAB-stimulated macrophage/adipocyte coculture. Cells were treated for 24 h with bacterial cell suspensions and TNF-α, IL-6, MCP-1, and IL-10 levels were quantified using Cytometric Bead Array Kit and leptin levels, using enzyme-linked immunosorbent assay test. LPS was used as a positive control. Non-stimulated cells were evaluated as controls of basal cytokine levels (negative control). The stimulating strains were CRL431, CRL258, CRL1063, CRL66, CRL72, CRL117, CRL1446 CRL1434, CRL350, CRL352, CRL353, CRL355, CRL575, and L. CRL576 strains. Results are expressed as mean ± SD of triplicate measures determined in two independent experiments. Mean values in the same graphic with different letters (a–i) were significantly different (P < 0.05). Production levels of (A) TNF-α, (B) IL-6, (C) MCP-1, (D) IL-10, and (E) leptin.
Leptin production was also modulated by LAB in a strain-dependent manner. The CRL17, CRL66, CRL431, CRL1434, CRL576, CRL355, CRL575, CRL352, and CRL143 strains induced similar levels of leptin than positive control. Other group of strains (CRL1446 and CRL350) induced mid-levels of leptin. The CRL1063, CRL72, and CRL353 strains did not induce significant changes in leptin production compared with negative control.
Associations between Strain and Inflammatory Profile, Expression of the Ob-Rb (Macrophage), and Leptin Production (Adipocyte)
Figure 5 shows the PCA plots with focus on grouping of LAB with respect to cytokines and leptin produced by macrophage–adipocyte coculture, both associated with expression of the Ob-Rb in RAW 264.7 macrophages. PCA revealed the presence of different groups of LAB with significant biological correlation (Figure 5) according to the studied variables. The analysis clearly discriminated between LAB with different capacity for modulating adipokine production. The analysis revealed that two components can be extracted, which together accounted for 87.31% of the variability. However, the first component accounts for 71.33% of the variance and discriminated better the LAB according to their capacity for modulating adipokine production and was more influenced by TNF-α and MCP-1; however, all variables were positively correlated. Second component separates better the strains with regard to their influence on leptin and IL-6 levels. So, the first and second factors discriminate LAB strains in four clusters according to their inflammatory profiles, leptin (from adipocyte to macrophage) production and leptin receptor expression (only in macrophages).
Figure 5. Biplots obtained by principal component analysis (PCA) of cytokines/chemokine and leptin production by macrophage/adipocyte coculture associated with expression of the Ob-Rb receptor in macrophages. Levels of TNF-α, IL-6, MCP-1, IL-10, and leptin produced by macrophage/adipocyte cocultures were associated with the expression of Ob-Rb in macrophages in biplots obtained by PCA. Non-stimulated cells were evaluated as controls basal (negative control) of cytokines/chemokine and leptin levels and Ob-Rb expression. LPS was used as a positive control. In the biplots, points are coded by stimulating strains (CRL431, CRL258, CRL1063, CRL66, CRL72, CRL117, CRL1446 CRL1434, CRL350, CRL352, CRL353, CRL355, CRL575, and L. CRL576) and controls. The position of some points was slightly modified to avoid overlapping of the labels.
In the cluster I, we observed strong correlations between the CRL72, CRL1063, and CRL353 strains. This group also comprises the negative control (basal control). The cluster II includes CRL1446, CRL66, CRL575, CRL143, CRL350, and CRL117 strains. The cluster III includes the CRL352, CRL576, CRL355, and CRL431 strains. The CRL1434 strain close to positive control (LPS control) was located in the cluster IV. Stimulus with CRL1434 strain induced the highest inflammatory cytokine levels compared to the other strains studied.
Discussion
This study supports the hypothesis that LAB have capacity to induce adipokine secretion in strain-dependent manner, and this ability is related to their immune properties. This report also provides additional evidence for the role of leptin in the regulation of the immune system and the cytokine network. In addition, we showed a strategy of in vitro selection of immunobiotic strains (immunoregulatory probiotics) to prevent or improve immunometabolic alterations associated with malnutrition.
The mechanisms by which commensal bacterial strains (particularly lactobacilli and bifidobacteria) may confer health benefits on the host’s health have been extensively studied (15). LAB are known to exert a wide range of effects on the immune and endocrine systems and, therefore, potentially in the whole body metabolism. However, these effects may be strain-specific and properties of one strain cannot be extrapolated to another even if belonging to the same species (44). Several beneficial microorganisms, generally known as immunobiotics (38), have been investigated for their potential use to treat or prevent nutritional disorders (undernutrition and obesity), which are further associated with immune deregulation (17, 21, 38, 45, 46).
Obesity induces low-grade inflammation characterized by chronic elevations in circulating inflammatory cytokines and adipokines (47, 48). Adipose tissue is constituted by active endocrine cells that secret a number of adipokines, which play pivotal roles in the regulation of various physiological and pathological processes in which adipose tissue is involved (49). At the adipose tissue level, inflammatory pathways are induced due in part to dynamic quantitative and phenotypic changes in adipose tissue leukocytes, principally macrophages (48, 50). According to Weisberg et al. (39), in mouse models, macrophage content could increase to about 50% of total non-adipocyte cells in obese mice. Macrophages infiltrated in white adipose tissue are the principal source of IL-6 and TNF-α (51). TNF-α is a pro-inflammatory cytokine, which has also been implicated as a mediator in induction of insulin resistance and adipose tissue inflammation (52). IL-6 has long been regarded as a pro-inflammatory molecule, but recent findings suggest that it also has many anti-inflammatory effects (53). IL-10 is a strong anti-inflammatory cytokine due to its ability to suppress the release of TNF-α and IL-1b from macrophages. In addition, IL-10 would affect Th1-lymphocyte actions (54). Regarding this, it was suggested that the C-C chemokine receptor 2 and its ligand CCL2 or MCP-1 are necessary for accumulation of inflammatory macrophages (39).
The results showed in this work indicate that adipocyte–macrophage coculture could be used for the screening and the selection of new immunobiotic strains, with the potential to functionally modulate adipose inflammation when orally administered. On the other hand, several authors have demonstrated that the gut microbiota could be modified by oral administration of LAB, and it has been identified as an important modifier of systemic inflammatory reactions influencing remote tissues (21). In addition, it is important to mention that there is no direct contact between intestinal bacteria and adipose tissue, but this contact could be indirectly mediated through translocation of bacterial products (e.g., LPS, DNA, etc.), which reach peripheral tissues and can stimulate innate immune receptors such as the mammalian toll-like receptors (TLRs) (55, 56). TLRs are germ line-encoded receptors expressed by cells of the innate immune system, adipocytes or intestinal epithelia, which are stimulated by structural motifs characteristically expressed by bacteria, viruses, and fungi known as pathogen-associated molecular patterns (57). Food-derived fatty acids, as well as intestinal bacteria-derived fatty acids could be sensed by TLRs, resulting in activation of the immune system (55). Taking this into account, we and other authors suggested that disruption of the mucosal barrier, as occurs in obesity and or undernutrition, leads to the exposure of a multitude of commensal-derived TLR ligands that could interact with TLR-expressing immune cells and adipocytes (55, 56). Batra et al. (58) demonstrated that expression and responsiveness of TLRs (TLR 1–9) in murine preadipocytes and adipocytes are both strongly regulated by leptin. This, coupled with the demonstrated pro-inflammatory actions of leptin in a variety of immune cells and other cell types (59), led us to propose that inflammatory responses could be regulated by leptin-modulating strains.
Adipose tissue consists of active endocrine cells that secrete a large number of adipokines, mainly leptin, adiponectin, and inflammatory cytokines such as TNF-α, IL-6, IL-1, IL-10, and MCP-1. These factors play a key role in the regulation of various physiological and pathological processes in which adipose tissue is involved (49, 60). For this purpose, we evaluated the ability of LAB to induce changes in the secretion of adipokines, cytokines, and chemokines involved in metabolic inflammation (IL-6, IL-10, TNF-α, MCP-1, and leptin), macrophages and adipocytes. Main cells that compose the adipose tissue (6, 61).
In order to establish the influence of cross talk between the main cells of adipose tissue, a coculture technique using macrophages and adipocytes was developed. According to Aravindhan and Madhumitha, metainflammation is due to the dysfunction of the immune system: at optimal level it confers protection against pathogens; at the suboptimal level it leads to immunodeficiency; and at supraoptimal level it leads to inflammation (62). Taking this into account, it is necessary to know the inflammatory profile of potential probiotic LAB. In this study, we first examined the ability of LAB to induce the production of different pro-inflammatory and anti-inflammatory responses in murine macrophage cell line, since the high infiltration of adipose tissue by macrophages occurs in obesity (39–41). Macrophages are phagocytic cells that participate in the innate and adaptive immune system. They are also one of the major cells that are in contact with the microorganisms in the intestine (63). This contact can be performed by phagocytosis or by recognition through different receptors, such as those PMAMs, including TLRs. In addition to the intestine, macrophages are found in various tissues, being one of the main immune cells of the visceral adipose tissue, in both lean and obese subjects, where they can represent between 5 and 60% of the immune cells of the adipose tissue (64, 65).
In the metabolic disorders, the number and level of activation of macrophages are altered (66), so that metabolic parameters, such as insulin resistance associated, may be affected (67) or the response to infections associated with malnutrition (68, 69). The main reason is due to the level of dynamic polarization between classically activated macrophages M1 (producers of pro-inflammatory cytokines) and alternatively activated macrophages M2 (anti-inflammatory cytokine producers) present in the adipose tissue (6). The level of activation is associated with a particular cytokine profile, and this is dysregulated in metabolic disorders (70). We demonstrated large differences in the inflammatory profile among evaluated strains, suggesting that the inflammatory property is strain-dependent, and different functional roles could be played by studied strains. We showed, in and other work, different cytokine profiles produced by macrophages induced by lactobacilli, bifidobacteria, and bacteroides strains (21, 71). Similar observations were previously reported by Medina et al. (72). These authors demonstrated different abilities of Bifidobacterium strains to modulate in vitro production of cytokines by PBMCs, suggesting that they could drive immune responses in different directions. Maassen et al. (73) showed that different Lactobacillus strains induce distinct mucosal cytokine profiles and possess differential intrinsic adjuvant properties. These authors suggested that rational Lactobacillus strain selection provides a strategy to influence cytokines expression and thereby influence immune responses. Considering only our results of inflammatory profile in macrophages, strains such as CRL72, CRL1446, CRL352, CRL431, and CRL117 with a medium inflammatory profile could provide protection against the early stage of infection via Th1 with TNF-α and IL-6 production (74).
According to Jaedicke et al. (59), increased leptin concentrations in obesity may drive monocytes into a more activated, macrophage-like, pro-inflammatory state, possibly by affecting expression of TLRs and CD14, thereby enhancing LPS responsiveness and contributing to increased inflammation. Furthermore, knowing that leptin enhances T cell proliferation and Th1 pro-inflammatory cytokine production in vitro (31), we proceed to evaluate leptin and cytokines production by adipocytes in mono and coculture and the presence of a functional Ob-Rb (leptin receptor) in macrophages. Other authors showed that bacterial strains have different ability to modulate leptin secretion by adipocytes (26, 75, 76).
We evaluated whether Ob-Rb expression is regulated during macrophage activation by different LAB strains. Ob-Rb positive cells increased after LPS stimulation (positive control) and its expression diverged among different LAB stimuli. A previous study demonstrated that macrophages and B and T lymphocytes constitutively express low levels of Ob-Rb, and that this expression is upregulated, in terms of both percentage of positive cells and receptor density, in response to activation of these immune cells (31). We observed that “more inflammatory” strains produced more leptin as well as increased Ob-Rb receptor expression on macrophages, which is according to the notion of pro-inflammatory property of leptin and its adverse role in obesity (28).
Stimulating adipocytes/RAW264.7 cells with LAB results in marked upregulation of cytokine and leptin production in comparison with an adipocyte culture. Other authors, using the coculture system, showed inhibition of the cycle of stimulation of adipocytes and macrophages through the inhibition of macrophage-mediated pro-inflammatory cytokines and upregulation of adiponectin in adipocytes (77). These favorable effects may suppress chronic inflammation in adipose tissue. De Palma et al. also demonstrated, in another coculture system (PBMC and Caco cells), that some microorganisms had different behavior (cytokine production) using individual cell cultures (78). Furthermore, we observed significant production of IL-6 and MCP-1 in a coculture compared to the effect in macrophage cells; these two molecules are related to macrophage infiltration and insulin resistance in adipose tissue (40, 79). In addition, it is estimated that between 15 and 35% of the systemic IL-6 levels come from adipose tissue in obese individuals (79).
In our study, we used viable LAB strains and observed a modulation, strain dependent, on the production of leptin in adipocytes in mono- and coculture with macrophages. However, like other authors, we suggest that mediators produced by other cells in adipose tissue, such as macrophages, influence the secretory capacity of adipocytes and vice versa, because of the difference in the secretion of leptin, cytokines, and chemokine, comparing mono- and coculture (80, 81).
We observed that CRL431 strain showed a significant reduction in leptin levels compared to control (—), when adipocytes were stimulated, but significantly higher levels than LPS in macrophage–adipocyte–LAB coculture. A similar pattern occurred with strain CRL1434, which showed significantly higher leptin levels of LPS by stimulating adipocytes, but in the coculture system it presented values similar to LPS. This clearly reflects the intercommunication between these two cells (macrophages and adipocytes) and that LAB can affect the production of adipokines in this system.
In order to determine an association between the different strains, regarding their inflammatory profile, Ob-Rb receptor induction and their effect on leptin production, the PCA was carried out. In this study, CRL355, CRL431, CRL576, and CRL352 strains that induced high levels of leptin could be exploited in diseases with low concentrations of leptin. On the contrary, downregulation of circulating leptin levels may be considered as possible strategy to intervene on some inflammatory and autoimmune conditions (28). In the latter situation, strains such as CRL117, CRL350, CRL143 CRL575, CRL1446, and CRL66 could be useful. Miyazawa et al. demonstrated that increased pro-inflammatory cytokines (IL-6, IL-12, and TNF-α) inhibited the differentiation of a fibroblast cell line (3T3L1) in adipocytes, suggesting that acute inflammation stimulated by lactobacilli could be the mechanism by which adipogenic differentiation is suppressed, leading to adipocyte hypertrophy (33).
We suggest that the CRL575, CRL143, CRL117, CRL352, CRL576, CRL355, CRL431, and CRL1434 strains that induce high levels of leptin (either in adipocytes or in the Mac-Adi-BL system) could be oriented to the use in nutritional therapies for diseases that occur with reduced levels of leptin. In an opposite case, decreased levels of this adipokine would be necessary for the intervention of inflammatory or autoimmune pathologies (28), where CRL72, CRL66, and CRL1446 strains could be used.
It is noteworthy that CRL1446 strain induced a decline in leptin production. This strain has antioxidant, hypoglycemic, and hypocholesterolemic properties in animal studies (23, 82), thereby could be an interesting alternative for treating obesity, which is characterized by high leptin levels. CRL431 strain, which is a probiotic microorganism that demonstrated positive immunological effects in undernourished hosts (17, 38), was located, in the PCA analysis, next to strains that induced middle leptin production. Other authors showed the specific effect of LAB on the response of porcine adipocytes to TNF-α stimulation using conditioned media from LAB-stimulated intestinal immune cells (32). They suggested that lactobacilli may suppress differentiation of preadipocytes through macrophage activation and production of Th1 cytokines and could be effective in improving Th1 response not only in the gut but also in the systemic compartment as well. Then, our data show that different LAB strains could be capable of regulating adipokine expression in adipose tissue and suggest that they could have the potential to functionally modulate adipose inflammation when orally administered.
We conclude that macrophage/adipocyte coculture is the most appropriate system for the selection of strains with the ability to modulate cytokine and leptin secretion. Our results showed that a stimulation of adipocyte monoculture with LAB strains exerts different effects than those observed in macrophage/adipocyte cocultures. This could be explained by the strong relationship between macrophages content and adipocytes in the adipose tissue, which boosts production of pro-inflammatory molecules and acute-phase proteins associated with obesity. Therefore, the regulation of TNF-α, IL-6, MCP-1, IL-10, and leptin and Ob-Rb receptor could be considered as biomarkers for immunobiotic strains. The use of microorganisms with low and middle inflammatory properties and ability to modulate leptin levels could be a strategy for the treatment of some metabolic diseases associated with immune abnormalities. In Figure 6, we show the possible inmuno- and adipokine modulation of LAB in an in vitro adipocyte system. This approach could be easily applicable in obesity and immune-deficient conditions like undernutrition. So, preclinical studies are currently being developed with the oral administration of CRL1446, CRL1434, and CRL431 (selected LAB in this work) in different experimental models of malnutrition (data no showed). The elucidation of the mechanisms involved in the modulation of adipose inflammation by LAB strains requires further studies associated with Ob-Rb and TLR expression.
Figure 6. Possible inmuno- and adipokine modulation of lactic acid bacteria in an in vitro macrophage/adipocyte system.
Author Contributions
Conceived and designed the experiments: EF and PG-C. Performed the experiments: EF, RR, and MCAM. Analyzed the data: EF, RR, MCAM, RM, and PG-C. Wrote draft and the final version of the manuscript: SG and PG-C.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Acknowledgments
We sincerely thank Dr. Yolanda Sanz [Microbial Ecology, Nutrition and Health Research Unit, Institute of Agrochemistry and Food Technology (IATA), National Research Council (CSIC), Valencia, Spain], for her helpful advice about this study and during preparation of this manuscript. This work was supported by BID PICT-2011 no. 0804, CONICET-PIP215, and UNSTA grants.
References
1. Zhang Y, Proenca R, Maffei M, Barone M, Leopold L, Friedman JM. Positional cloning of the mouse obese gene and its human homologue. Nature (1994) 372:425–32. doi:10.1038/372425a0
2. Gimeno RE, Klaman LD. Adipose tissue as an active endocrine organ: recent advances. Curr Opin Pharmacol (2005) 5:122–8. doi:10.1016/j.coph.2005.01.006
3. Grant RW, Dixit VD. Adipose tissue as an immunological organ. Obesity (Silver Spring) (2015) 23:512–8. doi:10.1002/oby.21003
4. Havel PJ. Update on adipocyte hormones: regulation of energy balance and carbohydrate/lipid metabolism. Diabetes (2004) 53(Suppl 1):S143–51. doi:10.2337/diabetes.53.2007.S143
5. Rezaee F, Dashty M. Role of adipose tissue in metabolic system disorders. J Diabetes Metab (2013) S13:2–8. doi:10.4172/2155-6156.S13-008
6. Mraz M, Haluzik M. The role of adipose tissue immune cells in obesity and low-grade inflammation. J Endocrinol (2014) 222:R113–27. doi:10.1530/JOE-14-0283
7. Rajala MW, Scherer PE. Minireview: the adipocyte – at the crossroads of energy homeostasis, inflammation, and atherosclerosis. Endocrinology (2003) 144:3765–73. doi:10.1210/en.2003-0580
8. Blüher M. Adipose tissue dysfunction in obesity. Exp Clin Endocrinol Diabetes (2009) 117:241–50. doi:10.1055/s-0029-1192044
9. Blüher M. Clinical relevance of adipokines. Diabetes Metab J (2012) 36:317–27. doi:10.4093/dmj.2012.36.5.317
10. Blüher M. Adipokines – removing road blocks to obesity and diabetes therapy. Mol Metab (2014) 3:230–40. doi:10.1016/j.molmet.2014.01.005
11. Blüher M, Mantzoros CS. From leptin to other adipokines in health and disease: facts and expectations at the beginning of the 21st century. Metabolism (2015) 64:131–45. doi:10.1016/j.metabol.2014.10.016
12. Catalán V, Gómez-Ambrosi J, Rodríguez A, Salvador J, Frühbeck G. Adipokines in the treatment of diabetes mellitus and obesity. Expert Opin Pharmacother (2009) 10:239–54. doi:10.1517/14656560802618811
13. Sahin-Efe A, Katsikeris F, Mantzoros CS. Advances in adipokines. Metabolism (2012) 61:1659–65. doi:10.1016/j.metabol.2012.09.001
14. Houde A-A, Légaré C, Biron S, Lescelleur O, Biertho L, Marceau S, et al. Leptin and adiponectin DNA methylation levels in adipose tissues and blood cells are associated with BMI, waist girth and LDL-cholesterol levels in severely obese men and women. BMC Med Genet (2015) 16:29. doi:10.1186/s12881-015-0174-1
15. Sanz Y, Rastmanesh R, Agostonic C. Understanding the role of gut microbes and probiotics in obesity: how far are we? Pharmacol Res (2013) 69:144–55. doi:10.1016/j.phrs.2012.10.021
16. Cani PD, Possemiers S, Van de Wiele T, Guiot Y, Everard A, Rottier O, et al. Changes in gut microbiota control inflammation in obese mice through a mechanism involving GLP-2-driven improvement of gut permeability. Gut (2009) 58:1091–103. doi:10.1136/gut.2008.165886
17. Gauffin-Cano P, Aguero G, Perdigon G. Adjuvant effects of Lactobacillus casei added to a renutrition diet in a malnourished mouse model. Biocell (2002) 26:35–48.
18. Sato M, Uzu K, Yoshida T, Hamad EM, Kawakami H, Matsuyama H, et al. Effects of milk fermented by Lactobacillus gasseri SBT2055 on adipocyte size in rats. Br J Nutr (2008) 99:1013–7. doi:10.1017/S0007114507839006
19. Kondo S, Xiao J-Z, Satoh T, Odamaki T, Takahashi S, Sugahara H, et al. Antiobesity effects of Bifidobacterium breve strain B-3 supplementation in a mouse model with high-fat diet-induced obesity. Biosci Biotechnol Biochem (2010) 74:1656–61. doi:10.1271/bbb.100267
20. Chang BJ, Park SU, Jang YS, Ko SH, Joo NM, Kim SI, et al. Effect of functional yogurt NY-YP901 in improving the trait of metabolic syndrome. Eur J Clin Nutr (2011) 65:1250–5. doi:10.1038/ejcn.2011.115
21. Gauffin Cano P, Santacruz A, Trejo FM, Sanz Y. Bifidobacterium CECT 7765 improves metabolic and immunological alterations associated with obesity in high-fat diet fed mice. Obesity (2013) 21:2310–21. doi:10.1002/oby.20330
22. Moya-Pérez A, Neef A, Sanz Y. Bifidobacterium pseudocatenulatum CECT 7765 reduces obesity-associated inflammation by restoring the lymphocyte-macrophage balance and gut microbiota structure in high-fat diet-fed mice. PLoS One (2015) 10:e0126976. doi:10.1371/journal.pone.0126976
23. Mukdsi A, Gauffin Cano M, González S, Medina R. Administration of Lactobacillus fermentum CRL1446 increases intestinal feruloyl esterase activity in mice. Lett Appl Microbiol (2012) 54(1):18–25. doi:10.1111/j.1472-765X.2011.03166.x
24. Nabavi S, Rafraf M, Somi MH, Homayouni-Rad A, Asghari-Jafarabadi M. Effects of probiotic yogurt consumption on metabolic factors in individuals with nonalcoholic fatty liver disease. J Dairy Sci (2014) 97:7386–93. doi:10.3168/jds.2014-8500
25. Nunez IN, Galdeano CM, Carmuega E, Weill R, de Moreno de Leblanc A, Perdigon G. Effect of a probiotic fermented milk on the thymus in Balb/c mice under non-severe protein-energy malnutrition. Br J Nutr (2013) 110(3):500–8. doi:10.1017/S0007114512005302
26. Bleau C, Lamontagne L, Savard R. New Lactobacillus acidophilus isolates reduce the release of leptin by murine adipocytes leading to lower interferon-gamma production. Clin Exp Immunol (2005) 140:427–35. doi:10.1111/j.1365-2249.2005.02785.x
27. Cani PD, Van Hul M. Novel opportunities for next-generation probiotics targeting metabolic syndrome. Curr Opin Biotechnol (2015) 32:21–7. doi:10.1016/j.copbio.2014.10.006
28. La Cava A, Alviggi C, Matarese G. Unraveling the multiple roles of leptin in inflammation and autoimmunity. J Mol Med (Berl) (2004) 82:4–11. doi:10.1007/s00109-003-0492-1
29. Matarese G, Moschos S, Mantzoros CS. Leptin in immunology. J Immunol (2005) 174:3137–42. doi:10.4049/jimmunol.174.6.3137
30. Cai C, Shi FD, Matarese G, La Cava A. Leptin as clinical target. Recent Pat Inflamm Allergy Drug Discov (2009) 3:160–6. doi:10.2174/187221309789257379
31. Papathanassoglou E, El-Haschimi K, Li XC, Matarese G, Strom T, Mantzoros C. Leptin receptor expression and signaling in lymphocytes: kinetics during lymphocyte activation, role in lymphocyte survival, and response to high fat diet in mice. J Immunol (2006) 176:7745–52. doi:10.4049/jimmunol.176.12.7745
32. Suzuki M, Tada A, Kanmani P, Watanabe H, Aso H, Suda Y, et al. Advanced application of porcine intramuscular adipocytes for evaluating anti-adipogenic and anti-inflammatory activities of immunobiotics. PLoS One (2015) 10:e0119644. doi:10.1371/journal.pone.0119644
33. Miyazawa K, He F, Yoda K, Hiramatsu M. Potent effects of, and mechanisms for, modification of crosstalk between macrophages and adipocytes by lactobacilli. Microbiol Immunol (2012) 56:847–54. doi:10.1111/j.1348-0421.2012.00512.x
34. de LeBlanc Ade M, Castillo NA, Perdigon G. Anti-infective mechanisms induced by a probiotic Lactobacillus strain against Salmonella enterica serovar Typhimurium infection. Int J Food Microbiol (2010) 138:223–31. doi:10.1016/j.ijfoodmicro.2010.01.020
35. Gerez CL, Torres MJ, de Valdez GF, Rollán G. Control of spoilage fungi by lactic acid bacteria. Biol Control (2013) 64:231–7. doi:10.1016/j.biocontrol.2012.10.009
36. Novotny Núñez I, Maldonado Galdeano C, de Moreno de LeBlanc A, Perdigón G. Lactobacillus casei CRL 431 administration decreases inflammatory cytokines in a diet-induced obese mouse model. Nutrition (2015) 31:1000–7. doi:10.1016/j.nut.2015.02.006
37. Terán V, Pizarro PL, Zacarías MF, Vinderola G, Medina R, Van Nieuwenhove C. Production of conjugated dienoic and trienoic fatty acids by lactic acid bacteria and bifidobacteria. J Funct Foods (2015) 19:417–25. doi:10.1016/j.jff.2015.09.046
38. Villena J, Salva S, Aguero G, Alvarez S. Immunomodulatory and protective effect of probiotic Lactobacillus casei against Candida albicans infection in malnourished mice. Microbiol Immunol (2011) 55:434–45. doi:10.1111/j.1348-0421.2011.00334.x
39. Weisberg SP, McCann D, Desai M, Rosenbaum M, Leibel RL, Ferrante AW. Obesity is associated with macrophage accumulation in adipose tissue. J Clin Invest (2003) 112:1796–808. doi:10.1172/JCI200319246
40. Kanda H, Tateya S, Tamori Y, Kotani K, Hiasa K, Kitazawa R, et al. MCP-1 contributes to macrophage infiltration into adipose tissue, insulin resistance, and hepatic steatosis in obesity. J Clin Invest (2006) 116:1494–505. doi:10.1172/JCI26498
41. Fujisaka S, Usui I, Bukhari A, Ikutani M, Oya T, Kanatani Y, et al. Regulatory mechanisms for adipose tissue M1 and M2 macrophages in diet-induced obese mice. Diabetes (2009) 58:2574–82. doi:10.2337/db08-1475
42. Rodbell M. The metabolism of isolated fat cells. IV. Regulation of release of protein by lipolytic hormones and insulin. J Biol Chem (1966) 241:3909–17.
43. Bernstein RL, Hyun WC, Davis JH, Fulwyler MJ, Pershadsingh HA. Flow cytometric analysis of mature adipocytes. Cytometry (1989) 10:469–74. doi:10.1002/cyto.990100416
44. Dogi CA, Galdeano CM, Perdigón G. Gut immune stimulation by non pathogenic Gram (+) and Gram (-) bacteria. Comparison with a probiotic strain. Cytokine (2008) 41:223–31. doi:10.1016/j.cyto.2007.11.014
45. Agüero G, Villena J, Racedo S, Haro C, Alvarez S. Beneficial immunomodulatory activity of Lactobacillus casei in malnourished mice pneumonia: effect on inflammation and coagulation. Nutrition (2006) 22:810–9. doi:10.1016/j.nut.2006.03.013
46. Yin Y-N. Effects of four bifidobacteria on obesity in high-fat diet induced rats. World J Gastroenterol (2010) 16:3394. doi:10.3748/wjg.v16.i27.3394
47. Sanz Y, Santacruz A, Gauffin P. Gut microbiota in obesity and metabolic disorders. Proc Nutr Soc (2010) 69:434–41. doi:10.1017/S0029665110001813
48. Glass CK, Olefsky JM. Inflammation and lipid signaling in the etiology of insulin resistance. Cell Metab (2012) 15:635–45. doi:10.1016/j.cmet.2012.04.001
49. Desruisseaux MS, Nagajyothi F, Trujillo ME, Tanowitz HB, Scherer PE. Adipocyte, adipose tissue, and infectious disease. Infect Immun (2007) 75:1066–78. doi:10.1128/IAI.01455-06
50. Cho KW, Morris DL, Lumeng CN. Flow cytometry analyses of adipose tissue macrophages. Methods in Enzymology Elsevier (2014). p. 297–314. Available from: http://linkinghub.elsevier.com/retrieve/pii/B9780124116191000161
51. Antuna-Puente B, Feve B, Fellahi S, Bastard J-P. Adipokines: the missing link between insulin resistance and obesity. Diabetes Metab (2008) 34:2–11. doi:10.1016/j.diabet.2007.09.004
52. Moller DE. Potential role of TNF-alpha in the pathogenesis of insulin resistance and type 2 diabetes. Trends Endocrinol Metab (2000) 11:212–7. doi:10.1016/S1043-2760(00)00272-1
53. Wolf J, Rose-John S, Garbers C. Interleukin-6 and its receptors: a highly regulated and dynamic system. Cytokine (2014) 70:11–20. doi:10.1016/j.cyto.2014.05.024
54. Opal SM, Depalo VA. Anti-inflammatory cytokines. Chest J (2000) 117:1162–72. doi:10.1378/chest.117.4.1162
55. Wolowczuk I, Verwaerde C, Viltart O, Delanoye A, Delacre M, Pot B, et al. Feeding our immune system: impact on metabolism. Clin Dev Immunol (2008) 2008:639803. doi:10.1155/2008/639803
56. Raybould HE. Gut microbiota, epithelial function and derangements in obesity: gut microbiota, epithelial function and derangements in obesity. J Physiol (2012) 590:441–6. doi:10.1113/jphysiol.2011.222133
57. Akira S, Uematsu S, Takeuchi O. Pathogen recognition and innate immunity. Cell (2006) 124:783–801. doi:10.1016/j.cell.2006.02.015
58. Batra A, Pietsch J, Fedke I, Glauben R, Okur B, Stroh T, et al. Leptin-dependent toll-like receptor expression and responsiveness in preadipocytes and adipocytes. Am J Pathol (2007) 170:1931–41. doi:10.2353/ajpath.2007.060699
59. Jaedicke KM, Roythorne A, Padget K, Todryk S, Preshaw PM, Taylor JJ. Leptin up-regulates TLR2 in human monocytes. J Leukoc Biol (2013) 93:561–71. doi:10.1189/jlb.1211606
60. Wu C-C, Weng W-L, Lai W-L, Tsai H-P, Liu W-H, Lee M-H, et al. Effect of Lactobacillus plantarum strain K21 on high-fat diet-fed obese mice. Evid Based Complement Alternat Med (2015) 2015:e391767. doi:10.1155/2015/391767
61. Ferrante AW. The immune cells in adipose tissue. Diabetes Obes Metab (2013) 15(Suppl 3):34–8. doi:10.1111/dom.12154
62. Aravindhan V, Madhumitha H. Metainflammation in diabetic coronary artery disease: emerging role of innate and adaptive immune responses. J Diabetes Res (2016) 2016:6264149. doi:10.1155/2016/6264149
63. Cerovic V, Bain CC, Mowat AM, Milling SWF. Intestinal macrophages and dendritic cells: what’s the difference? Trends Immunol (2014) 35:270–7. doi:10.1016/j.it.2014.04.003
64. Michaud A, Drolet R, Noël S, Paris G, Tchernof A. Visceral fat accumulation is an indicator of adipose tissue macrophage infiltration in women. Metabolism (2012) 61:689–98. doi:10.1016/j.metabol.2011.10.004
65. Morris DL, Singer K, Lumeng CN. Adipose tissue macrophages: phenotypic plasticity and diversity in lean and obese states. Curr Opin Clin Nutr Metab Care (2011) 14:341–6. doi:10.1097/MCO.0b013e328347970b
66. Lee B-C, Lee J. Cellular and molecular players in adipose tissue inflammation in the development of obesity-induced insulin resistance. Biochim Biophys Acta (2014) 1842:446–62. doi:10.1016/j.bbadis.2013.05.017
67. Martí A, Marcos A, Martínez JA. Obesity and immune function relationships. Obes Rev (2001) 2:131–40. doi:10.1046/j.1467-789x.2001.00025.x
68. Heilbronn LK, Campbell LV. Adipose tissue macrophages, low grade inflammation and insulin resistance in human obesity. Curr Pharm Des (2008) 14:1225–30. doi:10.2174/138161208784246153
69. Keusch GT. The history of nutrition: malnutrition, infection and immunity. J Nutr (2003) 133:36S–340S.
70. Cildir G, Akıncılar SC, Tergaonkar V. Chronic adipose tissue inflammation: all immune cells on the stage. Trends Mol Med (2013) 19:487–500. doi:10.1016/j.molmed.2013.05.001
71. Gauffin Cano P, Santacruz A, Moya Á, Sanz Y. Bacteroides uniformis CECT 7771 ameliorates metabolic and immunological dysfunction in mice. PLoS One (2012) 7(7):e41079. doi:10.1371/journal.pone.0041079
72. Medina M, Izquierdo E, Ennahar S, Sanz Y. Differential immunomodulatory properties of Bifidobacterium logum strains: relevance to probiotic selection and clinical applications: immunomodulatory properties of B. longum strains. Clin Exp Immunol (2007) 150:531–8. doi:10.1111/j.1365-2249.2007.03522.x
73. Maassen CB, van Holten-Neelen C, Balk F, den Bak-Glashouwer MJ, Leer RJ, Laman JD, et al. Strain-dependent induction of cytokine profiles in the gut by orally administered Lactobacillus strains. Vaccine (2000) 18:2613–23. doi:10.1016/S0264-410X(99)00378-3
74. Sanz Y, Nadal I, Sánchez E. Probiotics as drugs against human gastrointestinal infections. Recent Pat Antiinfect Drug Discov (2007) 2:148–56. doi:10.2174/157489107780832596
75. McMullen MH, Hamilton-Reeves JM, Bonorden MJ, Wangen KE, Phipps WR, Feirtag JM, et al. Consumption of Lactobacillus acidophilus and Bifidobacterium longum does not alter phytoestrogen metabolism and plasma hormones in men: a pilot study. J Altern Complement Med (2006) 12:887–94. doi:10.1089/acm.2006.12.887
76. Sousa R, Halper J, Zhang J, Lewis SJ, Li WI. Effect of Lactobacillus acidophilus supernatants on body weight and leptin expression in rats. BMC Complement Altern Med (2008) 8:5. doi:10.1186/1472-6882-8-5
77. Kusunoki H, Taniyama Y, Otsu R, Rakugi H, Morishita R. Anti-inflammatory effects of hepatocyte growth factor on the vicious cycle of macrophages and adipocytes. Hypertens Res (2014) 37:500–6. doi:10.1038/hr.2014.41
78. De Palma G, Cinova J, Stepankova R, Tuckova L, Sanz Y. Pivotal advance: bifidobacteria and Gram-negative bacteria differentially influence immune responses in the proinflammatory milieu of celiac disease. J Leukoc Biol (2010) 87:765–78. doi:10.1189/jlb.0709471
79. Bastard J-P, Lagathu C, Caron M, Capeau J. Point-counterpoint: interleukin-6 does/does not have a beneficial role in insulin sensitivity and glucose homeostasis. J Appl Physiol (2007) 102:821–2; author reply 825.
80. Ouchi N, Parker JL, Lugus JJ, Walsh K. Adipokines in inflammation and metabolic disease. Nat Rev Immunol (2011) 11(2):85–97. doi:10.1038/nri2921
81. Huh JY, Park YJ, Ham M, Kim JB. Crosstalk between adipocytes and immune cells in adipose tissue inflammation and metabolic dysregulation in obesity. Mol Cells (2014) 37(5):365–71. doi:10.14348/molcells.2014.0074
82. Russo M, Fabersani E, Abeijón-Mukdsi MC, Ross R, Fontana C, Benítez-Páez A, et al. Lactobacillus fermentum CRL1446 ameliorates oxidative and metabolic parameters by increasing intestinal feruloyl esterase activity and modulating microbiota in caloric-restricted mice. Nutrients (2016) 8:E415. doi:10.3390/nu8070415
Keywords: adipokine, leptin, lactic acid bacteria, probiotics, macrophage, adipocyte
Citation: Fabersani E, Abeijon-Mukdsi MC, Ross R, Medina R, González S and Gauffin-Cano P (2017) Specific Strains of Lactic Acid Bacteria Differentially Modulate the Profile of Adipokines In Vitro. Front. Immunol. 8:266. doi: 10.3389/fimmu.2017.00266
Received: 13 October 2016; Accepted: 23 February 2017;
Published: 13 March 2017
Edited by:
Haruki Kitazawa, Tohoku University, JapanReviewed by:
Arlette Santacruz, Tecnológico de Monterrey, MexicoMaria Carmen Cenit, Hospital Doctor Peset, Spain
Copyright: © 2017 Fabersani, Abeijon-Mukdsi, Ross, Medina, González and Gauffin-Cano. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Paola Gauffin-Cano, pgauffin@cerela.org.ar