Regular paper

The effect of bradykinin on the pro-inflammatory response of human adipocytes*

Ibeth Guevara-Lora1, Maria Sordyl2, Anna Niewiarowska-Sendo1, Grazyna Bras3,
Edyta Korbut1, Joanna Goralska2, Malgorzata Malczewska-Malec2, Bogdan Solnica2
and Andrzej Kozik1

1Department of Analytical Biochemistry, Faculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University in Krakow, Kraków, Poland; 2Chair of Clinical Biochemistry, Faculty of Medicine, Jagiellonian University Medical College, Kraków, Poland; 3Department of Comparative Biochemistry and Bioanalytics, Faculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University in Krakow, Kraków, Poland

The proper functioning of adipose tissue is one of the factors in maintaining energy homeostasis. Adipocytes not only store lipids but also produce active molecules such as adipokines and adipocytokines, which are involved in many functions of adipose tissue, including the secretion of hormones that regulate energy and lipid metabolism. Inflammation has been shown to underlie the deregulation of adipose tissue function. Bradykinin belongs to a family of pro-inflammatory kinin peptides that are abundant in most tissues and biological fluids. This study aimed to determine the ability to produce kinin peptides and characterize the effect of bradykinin on pro-inflammatory responses in adipocytes. The Chub-S7 human preadipocyte line was differentiated to show specific properties for adipose tissue cells. The differentiated cells expressed genes that encode proteins such as kininogen, kallikrein, and prolylcarboxypeptidase that are involved in the production of kinins and also showed the expression of kinin receptors. The response of adipocytes to bradykinin was examined in relation to kinin concentration and the presence of kininase inhibitors. The high concentration of bradykinin induced a moderate increase in lipid accumulation, increased release of pro-inflammatory cytokines, and altered gene expression of molecules involved in adipocyte function, such as adiponectin, lipoprotein lipase, and other transcription factors. This study suggests an important role for kinin peptides in inducing inflammatory responses in adipocytes, which can modify the function of adipose tissue and ultimately lead to diseases related to disturbance of energy homeostasis. The results obtained may enrich our understanding of the mechanisms underlying obesity-related disorders.

Key words: adipocyte, bradykinin, inflammation, adipogenesis, lipid metabolism

Received: 25 April, 2022; revised: 03 June, 2022; accepted: 07 June, 2022; available on-line: 10 July, 2022

e-mail: ibeth.guevara-lora@uj.edu.pl

*This topic was presented in part at the 49th Winter School of the Faculty of Biochemistry, Biophysics and Biotechnology, 22–24 February 2022, Krakow, Poland.

Abbreviations: ACE, angiotensin I converting enzyme; BK, bradykinin; B1R, bradykinin receptor type 1; B2R, bradykinin receptor type 2; C/EBP α, CCAAT/enhancer binding protein alpha; CIDEC, cell death inducing DFFA-like effector c; DMEM, Dulbecco’s Modified Eagle Medium; EF2, elongation factor 2; FBS, fetal bovine serum; GLUT-4, transporter glucose type 4; IRS-1, insulin receptor substrate-1; IL, interleukin; LPL, lipoprotein lipase; PBS, phosphate buffered saline; PRCP, prolylcarboxypeptidase; STAT3, signal transducer and activator of transcription 3; TCCF, total corrected cellular fluorescence; TNF-α, tumor necrosis factor α

Introduction

Bradykinin (BK), an ubiquitous peptide in human tissues and physiological fluids, regulates several processes associated with vascular functionality, including vasodilatation, vasoconstriction, and vascular permeability (Blais et al., 2000). An important physiological effect of BK is related to glucose transport. A study carried out under conditions of normal glucose tolerance and poor glucose control revealed an exercise-induced increase in plasma BK concentration only in individuals with good glycemic control. Experiments with normal and hyperglycemic rats demonstrated a similar effect showing a lower glucose concentration in plasma, translocation of transporter glucose type 4 (GLUT-4) to the skeletal cell membrane, as well as increased activation of insulin-dependent pathways (Taguchi et al., 2000). In fact, BK has been reported to improve the activity of insulin-stimulated receptor tyrosine kinase and the downstream insulin signaling cascade through bradykinin B2 receptor-mediated signal pathways (Motoshima et al., 2000). Furthermore, in primary dog adipocytes, BK was able to increase glucose uptake through the insulin-dependent pathway and phosphorylation of the insulin receptor and insulin receptor substrate-1 (IRS-1), which in turn increased GLUT-4 translocation (Isami et al., 1996). A novel mechanism of BK mediation was also proposed in insulin-stimulated glucose transport in rat adipocytes (Beard et al., 2006). These authors suggested a NO-dependent pathway that acts by modulating feedback inhibition of insulin signaling at the IRS-1 level.

However, BK can also induce pathological effects, especially when its concentration in the body and intercellular fluids is high. BK and other kinin peptide levels in blood and tissues are dynamically controlled under physiological conditions (for a review, see Blais et al., 2000). Kinin concentration is regulated by various processes related to activation of the kallikrein-kinin system and degradation of kinins by specific peptidases. However, the balance between kinin production and degradation can be altered in different pathological states, including systemic or local inflammation. The specific degradation of kinins by carboxypeptidases leads to the production of peptides without Arg at the C-terminus, called des-Arg kinins, which have high pro-inflammatory activity. Kinins and des-Arg kinins are recognized by two types of receptors – the kinin receptor type 1 (B1R) and type 2 (B2R) that belong to the G-protein-coupled receptor family (Leeb-Lundberg et al., 2005). The first type of receptor preferably recognizes des-Arg-kinin peptides, while B2R primarily recognizes BK and kallidin (Lys-BK). B2R is ubiquitously present in numerous cells and is mainly responsible for the physiological functions of BK, while B1R is induced by certain stimuli associated with chronic pro-inflammatory processes. However, under certain conditions, B2R receptors can play an important role in inflammation, especially when kinin production is increased or peptide degradation is altered.

Increasing data support that inflammation of adipose tissue, with enhanced secretion of adipokines and chemokines, may be a crucial factor in diseases related to adipose tissue, such as obesity, diabetes, and cardiovascular disorders (Emanuela et al., 2012; Kwon & Pessin, 2013; Makki et al., 2013). Taking into account the above facts, in this study an attempt was made to evaluate the role of bradykinin in the processes that regulate inflammation in human adipocytes. In this study, we investigated the ability of differentiated human Chub-S7 cells to generate kinins and the activation of kinin receptors by BK in these cells. Furthermore, the effects of BK on the gene expression of proteins involved in lipid metabolism and on pro-inflammatory responses were examined depending on the concentration of peptides in the presence of kininase inhibitors and the absence of these inhibitors.

Materials and Methods

Materials

The Chub-S7 human preadipocyte cell line was supplied by Nestle Research Center (Lausanne, Switzerland). BK was acquired from Bachem, Switzerland. Cell culture medium – Dulbecco’s Modified Eagle Medium (DMEM), F12, and fetal bovine serum (FBS) were purchased from Biowest (France). 2-Mercaptomethyl-3-guanidinoethylthiopropanoic acid was supplied by Calbiochem (USA). The fluorescent mounting medium was from DAKO (USA). Other chemicals were obtained from Merck (USA). Universal RNA/miRNA Purification Kit for total RNA isolation and M-MLV Reverse Transcriptase kit were supplied by EURX (Poland) and Promega (USA), respectively. The KAPA SYBR Green Master kit for qPCR was purchased from Kapa Biosystems (USA). Quantikine ELISA kits for adiponectin, interleukin 6 (IL-6), interleukin 8 (IL-8) and tumor necrosis factor α (TNF-α) were supplied by R&D Systems (USA).

The rabbit polyclonal antibody to the bradykinin B1 receptor against a sequence that includes the third EC (Ab13305) was supplied by Abcam (UK). The rabbit polyclonal antibody to the bradykinin B2 receptor against a sequence that includes the N-terminal amino acid sequence 2-66 (NBP2-14351) was obtained from Bionovus, USA. Secondary goat anti-rabbit IgG-Alexa Fluor 488 (A-11008) was purchased from Thermo Fisher Scientific (USA).

Cell culture and differentiation

Chub-S7 cells were cultured in a medium mixture (DMEM: F12; 1:1, v/v) supplemented with 10% FBS in a humidified atmosphere containing 5% CO2 at 37°C (Darimont, 2003). For cell differentiation, cells were kept in serum-free “adipogenic medium” containing 15 mM NaHCO3, 17 µM D-pantothenic acid, 15 mM Hepes, 33 µM biotin, 10 µg/ml transferrin, 1 nM triiodothyronine, 850 nM insulin, 500 µg/ml fetuin for 8 days. The medium was also supplemented with 1 µM dexamethasone and 1 µM rosiglitazone up to day 4 of differentiation. For the microscopic study, cells were seeded on glass cover slides and fixed with 3.7% paraformaldehyde before or after 8 days of differentiation. Morphological changes in differentiated cells were monitored with an ELIPSE TE300 inverse microscope (Nikon, USA) at a magnification of 20×.

Gene expression

Chub-S7 cells before and after 8-day differentiation were analyzed for the expression of genes involved in lipid metabolism (AdipoQ, CIDEC, LPL), in kinin production (HK, KLK1, KLKB1, PRCP) and kinin receptor genes (BDKRB1, BDKRB2). Furthermore, the effect of BK on the expression of genes involved in lipid metabolism (AdipoQ, C/BEPa, CIDEC, LPL) and the inflammatory response (IL-6, IL-8, TNF-α) was also studied. In this case, differentiated cells were stimulated with 1 nM or 1 µM BK for 3 or 6 hours in the presence of kininase inhibitors (500 µM bacitracin, 10 µM captopril and 20 µM 2-mercaptomethyl-3-guanidinoethylthiopropanoic acid) or in their absence. Cells were preincubated with inhibitors for 30 minutes prior to BK stimulation. Total RNA was isolated from cells and then reverse transcribed according to the manufacturer’s instructions. cDNA was used for quantitative real-time polymerase chain reaction using the C1000 Touch Thermal Cycler (Bio-Rad, Hercules, CA). The primers used for gene expression analysis are listed in Table 1. Target mRNA expression was normalized to the level of the elongation factor-2 housekeeping gene (EF-2) and compared with samples from untreated cells. Relative gene expression was calculated using the following equation: Q=2ΔΔCT, where CT is the threshold cycle.

Cytokine determination

Differentiated Chub-S7 cells seeded in 12-well plates were stimulated for 6 and 24 hours with 1 μM BK in the presence or absence of kininase inhibitors as described above. All experiments were carried out in DMEM/F12 medium supplemented with a protease inhibitor cocktail, containing aprotinin, bestatin, leupeptin, E-64, and pepstatin (200× dilution). The levels of adiponectin, IL-6, IL-8, and TNF-α released into the medium were measured with ELISA kits according to the manufacturer’s instructions. The values were normalized to 1 mg of cell lysate protein determined by the Lowry method.

Determination of lipid accumulation with Oil Red O

After 6 hours of stimulation of differentiated Chub-S7 cells with 1 nM and 1 µM bradykinin, cell lipid accumulation was measured by lipid staining with 0.5% Oil Red O (Kraus et al., 2016). After washing, cells were fixed in 3.7% paraformaldehyde for 30 minutes at room temperature. The solution was then removed and, after careful washing, the cells were incubated with the Oil Red O solution for 1 hour at room temperature. Subsequently, the Oil Red O solution was removed and the amount of intracellular dye was eluted with 200 µl of 100% isopropanol. The absorbance of the eluate was measured at 500 nm using the Multiskan FC microplate reader (ThermoLab Systems, USA). The total amount of Oil Red O in each sample was normalized to 1 mg of cell lysate protein.

Immunofluorescence detection of kinin receptors

The cell surface expression of B1R and B2R was examined by immunofluorescence microscopy using antibodies against external receptor epitopes. Briefly, Chub-S7 cells were seeded on glass cover slides and differentiated for 8 days. Then, the undifferentiated and differentiated cells were fixed with 3.7% paraformaldehyde for 30 minutes and washed with phosphate buffered saline (PBS). After 1 hour of blocking with 10% FBS, cells were incubated overnight with primary antibodies diluted in PBS (1:50 or 1:100 dilution for anti-B1R or anti-B2R, respectively) at 4°C. After washing with PBS, the samples were treated for two hours with Alexa-Fluor488 conjugated secondary antibody (1:250 dilution). Then 2 µM 4’,6’-diamidino-2-phenylindole was added for 10 minutes and, after extensive washing with distilled water, the cover slides were mounted on microscope slides using fluorescent mounting medium. A negative control sample without primary antibody incubation was also prepared. The samples were visualized with an epifluorescence microscope (Leica DMI6000B, Wetzlar, Germany) at a magnification of 40× with oil immersion. Using Leica Application Suite X software, the images were normalized to a lower threshold value. The fluorescence intensity of each image was measured using ImageJ 153 with Java 1.8.1 (USA) according to a previously published method (McCloy et al., 2014). Total corrected cellular fluorescence (TCCF) = integrated density – (area of the selected cell × mean fluorescence of the background reading) was calculated. For each sample, at least three different images from two separate protein immunodetection experiments were chosen for the calculation of TCCF.

Statistics

Representative data from at least three experiments were expressed as mean values ± S.D. Student’s t-test was used for statistical comparisons of mean values with the GraphPad Prism software (GraphPad Prism v. 8.0, USA).

Results and Discussion

The human Chub-S7 preadipocyte cell line, after differentiation, showed a characteristic morphology for mature adipocytes, consistent with the human adipocyte model established successfully in our previous study (Góralska et al., 2017). The most notable change was the increase in intracellular lipid accumulation. An increase in the number of lipid droplets was observed after 8 days of differentiation (Fig. 1). Furthermore, cells were characterized by determining specific adipocyte gene markers by qPCR, such as adiponectin (AdipoQ), the cell death inducing DFFA-like effector C (CIDEC), and lipoprotein lipase (LPL). Adiponectin mRNA was significantly increased by more than 20 times in differentiated cells (Fig. 1). Adiponectin, a hormone released from adipocytes, is associated with glucose and fatty acid metabolism. Therefore, the observed increase in the expression of this gene supports the achievement of a suitable adipocyte model. In fact, an earlier study reported that cells differentiated into adipocytes showed elevated expression of AdipoQ after just 4 days of differentiation, which lasted until the 14th day (Sheng et al., 2014). This assumption was corroborated by the expression of the CIDEC gene. This transcriptional factor, abundantly expressed in mature adipocytes, is involved in the regulation of lipid metabolism (Yin et al., 2014). The amount of CIDEC mRNA increased 1000 times in mature adipocytes compared to preadipocytes. Furthermore, differentiated Chub-S7 cells also expressed lipoprotein lipase (LPL), an enzyme secreted by adipose tissue involved in lipid metabolism. However, only a slight increase in LPL expression was observed compared to undifferentiated cells. In fact, Darimont and co-workers showed that LPL expression was unchanged in differentiated adipocytes independently of differentiation time; only specific agonists of the peroxisome proliferator-activated receptor gamma were able to enhance LPL expression (Darimont et al., 2003).

The ability of adipocytes to produce kinin peptides was tested in the developed cell model. For this purpose, the gene expression of proteins involved in the activation of the kallikrein-kinin system was investigated. Kinin peptides are generated from proteinaceous precursors, high molecular weight kininogen, and low molecular weight kininogen, through the proteolytic action of plasma or tissue kallikreins (Colman & Schmaier, 1997; Joseph & Kaplan, 2005). Other cell proteins such as prolylcarboxypeptidase (PRCP) or heat shock protein 90 are also involved in kinin generation due to their ability to activate kallikrein at the cell surface (Joseph & Kaplan, 2005). The first studies of kinin production were carried out in endothelial cells, but other cells such as smooth muscle cells, neutrophils, macrophages, microglia and neurons have been shown to also generate these peptides (Fernando et al., 2003; Barbasz et al., 2008; Guevara-Lora et al., 2011, 2013; Joseph & Kaplan, 2005). Although an increasing number of studies have indicated the participation of elements of the kinin production system in adipocyte functions (Peyrou et al., 2020; Selvarajan et al., 2001), the knowledge of the impact of differentiation processes on the expression of individual proteins from this system in preadipocytes is insufficient. In this study, the gene expression of essential proteins for the generation of kinins was observed in Chub-S7 cells before and after differentiation (Fig. 2). The kininogen gene (KNG1) was expressed in both undifferentiated and differentiated cells. No significant differences in KNG1 expression were observed between preadipocytes and mature adipocytes, which does not exclude the activation of kinin generation systems. Stable expression of this gene suggests that adipose tissue has the ability to produce kininogen that could be used for local BK production. In fact, this protein has been reported to contribute to the functions of adipose tissue. Recent studies have demonstrated that in mice adipose tissue two different kininogen genes were expressed, KNG1 and KNG2. The last, which is present only in mice, showed a significant effect on the thermogenic regulation of brown adipose tissue, while KNG1 was only slightly enhanced after the thermogenic stimulus (Rouhiainen et al., 2019; Peyrou et al., 2020). On the other hand, our study revealed that the gene expression of serine proteases, such as plasma kallikrein (KLKB1), tissue kallikrein (KLK1), and prolylcarboxypeptidase (PRCP), was decreased but not abolished (Fig. 2). A previous report demonstrated an important role for the plasminogen cascade in the differentiation of mouse-derived 3T3-L1 cells to adipocytes, suggesting the mediation of plasma kallikrein (Selvarajan et al., 2001). These authors demonstrated that the use of serine protease inhibitors during differentiation led to poor cell differentiation and low lipid accumulation. We obtained a good model of human adipocytes, suggesting that although the gene expression of kallikreins and PRCP is decreased, Chub-S7 cells were able to differentiate, showing lipid accumulation and the presence of specific markers of mature adipocytes. Although this study did not demonstrate the production of BK or its metabolites, these cells may have the ability to generate kinins due to the presence of kallikreins. Furthermore, brown rat adipose tissue showed significant amounts of BK concentration, comparable to that in blood (Campbell et al., 1994). Even if the amount of kinins is insufficient or these peptides are mostly degraded, it is likely that this peptide can be delivered to adipose tissue from the surrounding blood vessels.

From the point of view of our research, it was interesting to check the effect of differentiation on the expression of kinin receptors in Chub-S7 cells. The presence of B2R and B1R in adipose tissues has been widely demonstrated (Abe et al., 2007; Catalioto et al., 2013; Marketou et al., 2018; Mori et al., 2012). In this study, both kinin receptors, B1R and B2R, were expressed in Chub-S7 cells, as demonstrated by qPCR and immunofluorescence microscopy. Cell differentiation led to a strong decrease in B1R expression (by 80%), while a moderate increase in B2R expression occurred (by two times) (Fig. 3B and 3A, for B1R and B2R, respectively). Similar observations resulted from microscopy analysis of kinin receptors in differentiated cells with specific antibodies to extracellular epitopes. B2R expression in differentiated cells increased compared to undifferentiated cells (Fig. 3C and 3E). Semiquantitative analysis of immunofluorescence images showed TCCF values equal to 46.5±1.1 and 11.8±3.8 for differentiated and undifferentiated cells, respectively (Fig. 3G). In turn, the expression of B1R was reduced (Fig. 3D and 3F), achieving TCCF values of 8.3±3.2 vs. 23.0±5.2 for differentiated and undifferentiated cells, respectively (Fig. 3G). Strongly reduced B1R expression can be beneficial; however, this does not mean that its expression cannot be induced. Kinin receptors have been shown to be autoregulated by their agonists (Guevara-Lora et al., 2009, 2014), especially BK is able to regulate B1R expression through its transformation into des-Arg kinins. Since these cells express kinin receptors, the cellular model is adequate for further study. However, BK and Lys-BK can be degraded very quickly, mainly by ACE, but other membrane-linked peptidases such as neutral endopeptidase 24.11, carboxypeptidase M, and aminopeptidase are also involved in kinin degradation (Blais et al., 2000). In addition, enzymes present in biological fluids, such as carboxypeptidase N or released by immune system cells (e.g., elastase), are also able to hydrolyze kinin peptides (Blais et al., 2000; Campbell, 2000; Dulinski et al., 2003). Because BK degradation can result in the formation of des-Arg-BK, specific kininase inhibitors were used. It is worth emphasizing here that exogenous des-Arg-BK added to serum had a half-life at least five times longer than that of BK, which was established to be approximately 30 s (Blais et al., 2000). Therefore, carboxypeptidase inhibitors are especially required to avoid B1R activation, which has been reported to promote expansion of adipose tissue and contribute to metabolic and inflammatory disorders responsible for obesity (Sales et al., 2019; Freitas-Lima et al., 2022). The use of peptidase inhibitors allowed the appreciation of the effect of non-degraded BK in adipocytes, while incubation without such inhibitors may represent more physiologically relevant conditions.

In recent decades, an undisputed correlation has been established between obesity-induced inflammation and metabolic syndrome (Ouchi et al., 2011; DeBoer, 2013; Rodríguez-Hernández et al., 2013; Kwon & Pessin, 2013; Makki et al., 2013; Emanuela et al., 2012). Chronic low-grade systemic inflammation has been shown to contribute to the development of metabolic syndrome that leads to cardiovascular disorders and type 2 diabetes mellitus. The molecular mechanism of the expansion of inflammatory responses in obese patients is not yet fully understood. It seems that pro-inflammatory cytokines can play a central role. Therefore, in this study, the effect of exogenous bradykinin on cytokine production by differentiated Chub-S7 was analyzed (Fig. 4). As mentioned above, kinin concentration in body fluids is dynamically controlled by peptidases, the most effective being angiotensin-I-converting enzyme (ACE). The mean concentration of BK measured in blood plasma, depending on the technique used, ranges from pM to nM (Blais et al., 2000). Therefore, we used two different BK concentrations – 1 nM, assumed to be in the physiological range, and 1 µM – a pathological concentration. The gene expression and protein release of interleukin 6 (IL-6), interleukin 8 (IL-8) and tumor necrosis factor alpha (TNF-α) were observed in treated Chubs-S7. These cytokines have been shown to be produced by adipocytes (Makki et al., 2013) and play a role in inflammation of adipose tissue. TNF-α is associated with disorders of insulin and glucose metabolism, while IL-6 is mainly associated with glucose metabolism. In turn, IL-8 concentration is elevated in obese subjects, showing a closed positive correlation with fat mass (Kim et al., 2006). In fact, our study showed a significant increase in TNF-α release from differentiated cells incubated with 1 µM BK and without kininase inhibitors (Fig. 4B). Interestingly, the presence of kininase inhibitors completely abolished the release of cytokines, suggesting that kininases may play an important role in the propagation of the inflammatory response in these cells. It can be assumed that adipocytes can transform BK into the strong pro-inflammatory peptide des-Arg BK. These results were correlated with the expression of the TNFα gene, which showed a moderate increase in mRNA levels in cells incubated without inhibitors (Fig. 4A). Furthermore, in cells pretreated with inhibitors, cytokine gene expression decreased to the control sample level, demonstrating that under these conditions the pro-inflammatory response can be inhibited. The 2-mercaptomethyl-3-guanidinoethylthiopropanoic acid present in the inhibitor cocktail may inhibit carboxypeptidase activity. Therefore, it can be expected that in these samples there are no des-Arg peptides that are more difficult to degrade. Certainly, the importance of these enzymes in adipogenesis has been proposed. Carboxypeptidase M levels were established to be elevated in the late stage of adipogenesis, suggesting that this enzyme can cleave important protein/peptides with Lys or Arg at the C-terminus that are present in adipose tissue (Denis et al., 2013). On the other hand, it seems that the physiological concentration of BK does not have a significant influence on the expression of this cytokine. Although after 3 h of incubation the level of mRNA increased, after 6 hours the TNFα mRNA values returned to the level before incubation (Fig. S1A at https://ojs.ptbioch.edu.pl/index.php/abp/).

Regarding interleukins, the results were slightly different. The release of IL-6 and IL-8 from cells treated with 1 µM BK was higher compared to untreated cells, whether or not they were preincubated with kininase inhibitors (Fig. 4D and 4F). The gene expression of both cytokines was highest only in a short time of incubation with 1 µM BK, while after 6 hours it quickly decreased to the value of the control samples (Fig. 4C and 4E for IL-6 and IL-8 genes, respectively). It should be emphasized that high levels of BK can also induce NF-κB-mediated pro-inflammatory responses in several tissues, such as in the case of IL-8 release by smooth muscle cells under the influence of BK (Leeb-Lundberg et al., 2005). As noted above, it appears that the dynamics of BK metabolism and cytokine production may play an important role in shifting the expression of both types of kinin receptors, perhaps in favor of B1R, leading to the propagation of inflammatory processes. In turn, cell incubation with 1 nM BK caused a slight increase in IL-6 and IL-8 mRNA, but only without the use of kininase inhibitors. The expression of these genes was even reduced after 6 hours of BK treatment when these inhibitors were used (Fig. S1B and S1C at https://ojs.ptbioch.edu.pl/index.php/abp/).

Obesity-related inflammation is characterized by reduced adiponectin production, an anti-inflammatory adipokine whose secretion by adipocytes is inversely proportional to the lipid content (Ouchi et al., 2011). In this study, the release of adiponectin by BK-treated adipocytes was gently increased (by 20%) only in cells incubated without kininase inhibitors (Fig. 5B). These results are correlated with the expression of the AdipoQ gene, showing a strong increase of more than four times in mRNA (Fig. 5A). This effect was unexpected given the increased production of pro-inflammatory cytokines discussed above. This is even more intriguing, as 1 nM bradykinin caused a similar effect in cells without preincubation with kininase inhibitors (Fig. 2SA at https://ojs.ptbioch.edu.pl/index.php/abp/). However, many factors are involved in the regulation of adiponectin gene expression. Cytokines such as IL-6, IL-8, and TNFα can lead to increased expression of AdipoQ through the signal transducer and activator of transcription 3 (STAT3). In the STAT3-initiated final stage, the signaling pathway activates FoXO1, which through the CCAAT/enhancer binding protein (C/EBP) triggers the transcription of the adiponectin gene (Shehzad et al., 2012). One of the pivotal proteins involved in adipogenesis is C/EBPα, which binds to the adiponectin gene and activates the gene promoter (Park et al., 2004). In this regard, our study showed a strong increase in C/EBP gene expression after 1 µM BK stimulation of differentiated Chub-S7 cells (Fig. 6A). Taking this into account, it can be assumed that increased expression and secretion of adiponectin may be related to increased expression of the C/EBPα gene. In turn, kininase inhibitors were able to reverse BK-induced adiponectin release (Fig. 5B). In this case, the amount of secreted adiponectin showed a value similar to that obtained in unstimulated cells. This fact is correlated with the observed low cytokine production by differentiated cells after a short incubation time with 1 µM BK (Figs 4B, 4D, and 4F). Furthermore, cell treatment with a low concentration of BK in the presence of kininase inhibitors showed a decrease in the expression of cytokine genes (Fig. S1 at https://ojs.ptbioch.edu.pl/index.php/abp/) and C/EBPα (Fig. S2B at https://ojs.ptbioch.edu.pl/index.php/abp/). These results demonstrate the complexity of the mechanism of action of BK in adipocytes. Different kinase signaling pathways, such as mitogen-activated protein kinase, Akt/PI3K and STAT3, are involved in the expression of adiponectin (Fasshauer et al., 2002; Shehzad et al., 2012). Furthermore, these proteins are also associated with kinin receptor signaling (Leeb-Lundberg et al., 2005). Therefore, it can be concluded that the signaling pathways responsible for adiponectin production can be altered by the action of BK. The effect of 1 µM BK on CIDEC gene expression was also investigated (Fig. 6B). As described above, this transcriptional factor is expressed in adipose tissue and regulates lipid metabolism by promoting lipid accumulation (Kim et al., 2008). A higher concentration of BK was able to induce the expression of CIDEC mRNA independently of the presence of kininase inhibitors, supporting the hypothesis that kinin peptides may promote adipogenesis. However, a lower concentration of BK caused an increase in the amount of CIDEC mRNA in cells treated without kininase inhibitors, while in the presence of such inhibitors, a lower expression of CIDEC was observed, especially after 6 h (Fig. S2D at https://ojs.ptbioch.edu.pl/index.php/abp/). Another marker of lipid metabolism evaluated in this study was LPL. Stimulation of adipocytes with 1 µM BK in the presence of kininase inhibitors resulted in poor LPL expression, while the lack of inhibitor showed the opposite effect (Fig. 6C). A study carried out with ACE knockout mice demonstrated increased LPL production without changes in fatty acid synthase, showing reduced fat mass and improved glucose clearance (Jayasooriya et al., 2008). Therefore, it can be assumed that inhibition of ACE may lead to similar effects. In fact, differentiated Chub-S7 treated with 1 µM BK without inhibitor showed an increase in lipid accumulation (by 25%) compared to untreated cells (Fig. 7). In turn, a lower concentration of BK did not cause lipid accumulation. The effects of 1 nM BK on LPL mRNA were slightly different (Fig. 2SD at https://ojs.ptbioch.edu.pl/index.php/abp/). The use of kininase inhibitors led to lower gene expression, while the lack of these inhibitors promoted the expression of the LPL gene. Therefore, the addition of BK to adipocytes under physiological conditions results in increased expression of LPL, which can lead to a decrease in lipid accumulation. In contrast, the opposite situation was observed when a higher concentration of BK was used, especially when BK was not degraded because of the presence of kininase inhibitors.

In properly functioning adipose tissue, a balance between pro-inflammatory and anti-inflammatory adipokines is maintained. On the contrary, during intense hypertrophy-based adipogenesis, too large fat-filled adipocytes lose their ability to control metabolic processes. The consequence of impaired adipocyte function is a change in adipokine secretion that regulate metabolism and the inflammatory process at the level of both tissue (autocrine, paracrine) and the entire organism (endocrine) (Taylor, 2021). In summary, our study demonstrated that BK can potentiate the production of adipokines, including pro-inflammatory cytokines. These processes depend on both the concentration of the peptide and the presence of kininase inhibitors that could degrade it. An important element of the involvement of BK in these processes appears to be the dynamics of degradation and/or generation of this peptide by adipocytes. The fact that adipocytes can degrade kinins is known and in this study we showed that the cell model used has the enzymatic proteins necessary for kinin generation. We propose that BK at pathological concentration can act through the B2 receptor inducing the pro-inflammatory response in adipocytes. Although strong pro-inflammatory des-Arg-BK generation can be expected, cells incubated without kininase inhibitors also led to increased cytokine release, which can autocrinnely enhance adipocyte dysfunction, such as reduced lipid degradation (decreased LPL expression) and enhanced adipogenesis (increased CIDEC expression). However, it seems that the effect of BK at physiological concentration, especially in the presence of kininase inhibitors, does not indicate a significant impairment of adipocyte functions. It can be concluded that the influence of BK on energetic homeostasis is related not only to the modulation of glucose metabolism but also to the regulation of lipid metabolism in adipocytes.

Declarations

Conflict of interest. The authors have no conflict of interest to declare.

References

Abe KC, da Silva Mori MA, Pesquero JB (2007) Leptin deficiency leads to the regulation of kinin receptors expression in mice. Regul. Pept. 138: 56–58. https://doi.org/10.1016/j.regpep.2006.11.018

Barbasz A, Guevara-Lora I, Rapala-Kozik M, Kozik A (2008) Kininogen binding to the surfaces of macrophages. Int. Immunopharmacol. 8: 211–216. https://doi.org/10.1016/j.intimp.2007.08.002

Beard KM, Lu H, Ho K, George Fantus I (2006) Bradykinin augments insulin-stimulated glucose transport in rat adipocytes via endothelial nitric oxide synthase-mediated inhibition of Jun NH 2-terminal kinase. Diabetes 55: 2678–2687. https://doi.org/10.2337/db05-1538

Blais J, Marceau F, Rouleau JL, Adam A (2000) The kallikrein-kininogen-kinin system: Lessons from the quantification of endogenous kinins. Peptides 22: 1903–1940. https://doi.org/10.1016/S0196-9781(00)00348-X

Campbell DJ, Kladis A, Duncan AM. (1994) Effects of converting enzyme inhibitors on angiotensin and bradykinin peptides. Hypertension 23: 439–449. https://doi.org/10.1161/01.hyp.23.4.439.

Campbell DJ (2000) Towards understanding the kallikrein-kinin system: insights from measurement of kinin peptides. Braz J Med Biol Res 33: 665–677. https://doi.org/10.1590/s0100-879x2000000600008.

Catalioto RM, Valenti C, Liverani L, Giuliani S, Maggi CA (2013) Characterization of a novel proinflammatory effect mediated by BK and the kinin B2 receptor in human preadipocytes. Biochem. Pharmacol. 86: 508–520. https://doi.org/10.1016/j.bcp.2013.06.005

Colman RW, Schmaier AH (1997) Contact system: A vascular biology modulator with anticoagulant, profibrinolytic, antiadhesive, and proinflammatory attributes. Blood 90: 3819–3843. https://doi.org/10.1182/blood.v90.10.3819

Darimont C, Zbinden I, Avanti O, Leone-Vautravers P, Giusti V, Burckhardt P, Pfeifer AMA, Macé K (2003) Reconstitution of telomerase activity combined with HPV-E7 expression allow human preadipocytes to preserve their differentiation capacity after immortalization. Cell Death Differ. 10: 1025–1031. https://doi.org/10.1038/sj.cdd.4401273

DeBoer MD (2013) Obesity, systemic inflammation, and increased risk for cardiovascular disease and diabetes among adolescents: A need for screening tools to target interventions. Nutrition 29: 379–386. https://doi.org/10.1016/j.nut.2012.07.003

Denis CJ, Deiteren K, Hendriks D, Proost P, Lambeir AM (2013) Carboxypeptidase M in apoptosis, adipogenesis and cancer. Clin. Chim. Acta 415: 306–316. https://doi.org/10.1016/j.cca.2012.11.012

Duliński R, Suder P, Guevara-Lora I, Rąpała Kozik M, Potempa J, Silberring J, Imamura T, Travis J, Kozik A (2003) Attenuated kinin release from human neutrophil elastase-pretreated kininogens by tissue and plasma kallikreins. Biol Chem 384: 929–937. https//doi.org/10.1515/BC.2003.104

Emanuela F, Grazia M, Marco DR, Maria Paola L, Giorgio F, Marco B (2012) Inflammation as a link between obesity and metabolic syndrome. J. Nutr. Metab. 2012: 476380. https://doi.org/10.1155/2012/476380

Fasshauer M, Neumann S, Eszlinger M, Paschke R, Klein J (2002) Hormonal regulation of adiponectin gene expression in 3T3-L1 adipocytes. Biochem. Biophys. Res. Commun. 290: 1084–1089. https://doi.org/10.1006/bbrc.2001.6307

Fernando LP, Natesan S, Joseph K, Kaplan AP (2003) High molecular weight kininogen and factor XII binding to endothelial cells and astrocytes. Thromb. Haemost. 90: 787–795. https://doi.org/10.1160/th03-04-0231

Freitas-Lima LC, Budu A, Estrela GR, Alves-Silva T, Perilhao MS, Arruda AC, Araujo RC (2022) Metabolic fasting stress is ameliorated in kinin B1 receptor-deficient mice. Life Sci 294: 120007. https://doi.org/10.1016/j.lfs.2021.120007

Góralska J, Śliwa A, Gruca A, Raźny U, Chojnacka M, Polus A, Solnica B, Malczewska-Malec M (2017) Glucagon-like peptide-1 receptor agonist stimulates mitochondrial bioenergetics in human adipocytes. Acta Biochim. Pol. 64: 423–429. https://doi.org/10.18388/abp.2017_1634

Guevara-Lora I, Florkowska M, Kozik A (2009) Bradykinin-related peptides up-regulate the expression of kinin B1 and B2 receptor genes in human promonocytic cell line U937. Acta Biochim. Pol. 56: 515–522. https://doi.org/10.18388/abp.2009_2488

Guevara-Lora I, Majkucinska M, Barbasz A, Faussner A, Kozik A (2011) Kinin generation from exogenous kininogens at the surface of retinoic acid-differentiated human neuroblastoma IMR-32 cells after stimulation with interferon-γ. Peptides 32: 1193–1200. https://doi.org/10.1016/j.peptides.2011.04.019

Guevara-Lora I, Blonska B, Faussner A, Kozik A (2013) Kinin-generating cellular model obtained from human glioblastoma cell line U-373. Acta Biochim. Pol. 60: 299–305

Guevara-Lora I, Stalinska K, Augustynek B, Labedz-Maslowska A (2014) Influence of kinin peptides on monocyte-endothelial cell adhesion. J. Cell. Biochem. 115: 1985–1995. https://doi.org/10.1002/jcb.24870

Isami S, Kishikawa H, Araki E, Uehara M, Kaneko K, Shirotani T, Todaka M, Ura S, Motoyoshi S, Matsumoto K, Miyamura N, Shichiri M (1996) Bradykinin enhances GLUT4 translocation through the increase of insulin receptor tyrosine kinase in primary adipocytes: evidence that bradykinin stimulates the insulin signalling pathway. Diabetologia 39: 412–420. https://doi.org/10.1007/BF00400672

Jayasooriya AP, Mathai ML, Walker LL, Begg DP, Denton DA, Cameron-Smith D, Egan GF, McKinley MJ, Rodger PD, Sinclair AJ, Wark JD, Weisinger HS, Jois M, Weisinger RS (2008) Mice lacking angiotensin-converting enzyme have increased energy expenditure, with reduced fat mass and improved glucose clearance. Proc. Natl. Acad. Sci. U. S. A. 105: 6531–6536. https://doi.org/10.1073/pnas.0802690105

Joseph K, Kaplan AP (2005) Formation of bradykinin: A major contributor to the innate inflammatory response. Adv. Immunol. 86: 159–208. https://doi.org/10.1016/S0065-2776(04)86005-X

Kim CS, Park HS, Kawada T, Kim JH, Lim D, Hubbard NE, Kwon BS, Erickson KL, Yu R (2006) Circulating levels of MCP-1 and IL-8 are elevated in human obese subjects and associated with obesity-related parameters. Int. J. Obes. 30: 1347–1355. https://doi.org/10.1038/sj.ijo.0803259

Kim YJ, Cho SY, Yun CH, Moon YS, Lee TR, Kim SH. (2008) Transcriptional activation of CIDEC by PPARgamma2 in adipocyte. Biochem. Biophys. Res. Commun. 377: 297-302. https//doi.org/10.1016/j.bbrc.2008.09.129.

Kraus NA, Ehebauer F, Zapp B, Rudolphi B, Kraus BJ, Kraus D (2016) Quantitative assessment of adipocyte differentiation in cell culture. Adipocyte 5: 351–358. https://doi.org/10.1080/21623945.2016.1240137

Kwon H, Pessin JE (2013) Adipokines mediate inflammation and insulin resistance. Front. Endocrinol. (Lausanne). 4: 1–14. https://doi.org/10.3389/fendo.2013.00071

Leeb-Lundberg LMF, Marceau F, Müller-Esterl W, Pettibone DJ, Zuraw BL (2005) International union of pharmacology. XLV. Classification of the kinin receptor family: From molecular mechanisms to pathophysiological consequences. Pharmacol. Rev. 57: 27–77. https://doi.org/10.1124/pr.57.1.2

Makki K, Froguel P, Wolowczuk I (2013) Adipose tissue in obesity-related inflammation and insulin resistance: cells, cytokines, and chemokines. ISRN Inflamm. 2013: 1–12. https://doi.org/10.1155/2013/139239

Marketou ME, Kochiadakis G, Kontaraki J, Zacharis E, Kanoupakis E, Kallergis E, Mavrakis H, Tsiverdis P, Lempidakis D, Konstantinou J, Fragkiadakis K, Chlouverakis G, Vardas P, Parthenakis F (2018) Bradykinin receptors gene expression in white adipose tissue in nondiabetic patients with coronary artery disease. Coron. Artery Dis. 29: 329–335. https://doi.org/10.1097/MCA.0000000000000604

McCloy RA, Rogers S, Caldon CE, Lorca T, Castro A, Burgess A (2014) Partial inhibition of Cdk1 in G2 phase overrides the SAC and decouples mitotic events. Cell Cycle 13: 1400–1412. https://doi.org/10.4161/cc.28401

Mori MA, Sales VM, Motta FL, Fonseca RG, Alenina N, Guadagnini D, Schadock I, Silva ED, Torres HAM, dos Santos EL, Castro CH, D’Almeida V, Andreotti S, Campaña AB, Sertié RAL, Saad MJA, Lima FB, Bader M, Pesquero JB (2012) Kinin B1 receptor in adipocytes regulates glucose tolerance and predisposition to obesity. PLoS One 7: e44782. https://doi.org/10.1371/journal.pone.0044782

Motoshima H, Araki E, Nishiyama T, Taguchi T, Kaneko K, Hirashima Y, Yoshizato K, Shirakami A, Sakai K, Kawashima J, Shirotani T, Kishikawa H, Shichiri M (2000) Bradykinin enhances insulin receptor tyrosine kinase in 32D cells reconstituted with bradykinin and insulin signaling pathways. Diabetes Res. Clin. Pract. 48: 155–170. https://doi.org/10.1016/S0168-8227(00)00121-2

Ouchi N, Parker JL, Lugus JJ, Walsh K (2011) Adipokines in inflammation and metabolic disease. Nat. Rev. Immunol.11: 85–97. https://doi.org/10.1038/nri2921

Park SK, Oh SY, Lee MY, Yoon S, Kim KS, Kim JW (2004) CCAAT/enhancer binding protein and nuclear factor-Y regulate adiponectin gene expression in adipose tissue. Diabetes 53: 2757–2766. https://doi.org/10.2337/diabetes.53.11.2757

Peyrou M, Cereijo R, Quesada-López T, Campderrós L, Gavaldà-Navarro A, Liñares-Pose L, Kaschina E, Unger T, López M, Giralt M, Villarroya F (2020) The kallikrein–kinin pathway as a mechanism for auto-control of brown adipose tissue activity. Nat. Commun. 11: 1–16. https://doi.org/10.1038/s41467-020-16009-x

Rodríguez-Hernández H, Simental-Mendía LE, Rodríguez-Ramírez G, Reyes-Romero MA (2013) Obesity and inflammation: epidemiology, risk factors, and markers of inflammation. Int. J. Endocrinol. 2013: 678159. https://doi.org/10.1155/2013/678159

Rouhiainen A, Kulesskaya N, Mennesson M, Misiewicz Z, Sipilä T, Sokolowska E, Trontti K, Urpa L, McEntegart W, Saarnio S, Hyytiä P, Hovatta I (2019) The bradykinin system in stress and anxiety in humans and mice. Sci. Rep. 9: 1–13. https://doi.org/10.1038/s41598-019-55947-5

Selvarajan S, Lund LR, Takeuchi T, Craik CS, Werb Z (2001) A plasma kallikrein-dependent plasminogen cascade required for adipocyte differentiation. Nat. Cell Biol. 3: 267–275. https://doi.org/10.1038/35060059

Shehzad A, Iqbal W, Shehzad O, Lee YS (2012) Adiponectin: Regulation of its production and its role in human diseases. Hormones 11: 8–20. https://doi.org/10.1007/bf03401534

Sheng X, Tucci J, Malvar J, Mittelman SD (2014) Adipocyte differentiation is affected by media height above the cell layer. Int. J. Obes. 38: 315–320. https://doi.org/10.1038/ijo.2013.96

Taguchi T, Kishikawa H, Motoshima H, Sakai K, Nishiyama T, Yoshizato K, Shirakami A, Toyonaga T, Shirotani T, Araki E, Shichiri M (2000) Involvement of bradykinin in acute exercise-induced increase of glucose uptake and GLUT-4 translocation in skeletal muscle: Studies in normal and diabetic humans and rats. Metabolism 49: 920–930. https://doi.org/10.1053/meta.2000.6755

Taylor EB (2021) The complex role of adipokines in obesity, inflammation, and autoimmunity. Clin. Sci. (Lond) 135:731–752. https://doi.org/10.1042/CS20200895

Yin C, Xiao Y, Zhang W, Xu E, Liu W, Yi X, Chang M (2014) DNA microarray analysis of genes differentially expressed in adipocyte differentiation. J. Biosci. 39: 415–423. https://doi.org/10.1007/s12038-014-9412-5