Abstract
Background and Objective
This study was designed to explore the protective effects of a clinically available NLR family Pyrin domain-containing receptor 3 (NLRP3) inhibitor, tranilast, in gestational diabetes mellitus (GDM) mice.
Methods
We used pregnant C57BL/KsJdb/+ (db/+) female mice as GDM mice, then orally administered 20 mg/kg of tranilast or metformin daily for 2 weeks. A glucose tolerance test and an insulin resistance test were used to evaluate the severity of diabetes in tranilast/metformin-treated GDM mice. After delivery, newborn mice were counted and weighed to measure their protective role on the reproductive outcome of GDM mice. Next, we determined the expression of NLRP3 and proinflammatory cytokines in the visceral adipose tissue and placenta of GDM mice using western blot and quantitative real-time-polymerase chain reaction. Furthermore, we determined the proinflammatory cytokines in the serum using an enzyme-linked immunosorbent assay.
Results
Tranilast significantly ameliorated GDM symptoms, including maternal body weight, hyperglycemia, insulin insufficiency, glucose intolerance and insulin resistance, enlarged litter size, and reduced litter body weight. Additionally, tranilast remarkably reduced the elevated expression of NLRP3 and proinflammatory cytokines.
Conclusions
Our data clarified the protective role of the NLRP3 inhibitor, tranilast, on GDM by inhibiting the activation of the NLRP3 inflammasome as well as inflammatory responses. The findings mean tranilast might serve as a therapeutic drug to treat GDM.
Key Points
Tranilast significantly ameliorated gestational diabetes mellitus symptoms, including maternal body weight, hyperglycemia, insulin insufficiency, glucose intolerance and insulin resistance, enlarged litter size, and reduced litter body weight. |
Tranilast remarkably reduced the elevated expressions of the NLR family Pyrin domain-containing receptor 3 and proinflammatory cytokines. |
Introduction
Gestational diabetes mellitus (GDM) is diabetes that only occurs or is first diagnosed during pregnancy, leading to pre-eclampsia, premature rupture of fetal membrane, premature birth, and an increased risk of fetal malformations [1]. Currently, GDM comprises about 7% of all diabetes, and its incidence is gradually increasing owing to the growing pregnant age and rising standards of living [2]. Gestational diabetes mellitus exerts its effect on pregnant women, fetuses, and newborns, causing polyhydramnios and hypertension during pregnancy. Newborns are prone to metabolic abnormalities, such as respiratory distress syndrome, hypoglycemia, hypocalcemia, hypomagnesemia, polycythemia, and hyperbilirubinemia [3]. Furthermore, GDM significantly increases the risk of obesity and glucose intolerance in adolescence [4]. Additionally, GDM pregnancies and their offspring are also prone to developing type 2 diabetes mellitus in the future [4]. Although the diagnosis and therapeutic treatment of GDM have progressed in recent years, the pathogenesis of GDM remains largely unknown. However, growing evidence indicates that inflammation and inflammation-related mediators are closely associated with the occurrence of GDM [5, 6].
A previous publication discovered that the proportion of macrophages in the visceral adipose tissue (VAT) and placenta of patients with GDM was significantly higher than that of normal pregnancies [7, 8], and these increased macrophages secreted proinflammatory factors such as tumor necrosis factor-α (TNF-α) and interleukin-1β (IL-1β), which contributed to local and systemic inflammation, and eventually insulin resistance. As an important component of innate immunity, the NLR and pyrin domain containing receptor 3 (NLRP3) inflammasome plays an important role in the immune response. Because the NLRP3 inflammasome can be activated by the diversity of pathogens or danger signals, NLRP3 inflammasomes play a key role in a variety of diseases, such as familial periodic auto-inflammatory response and type 2 diabetes [9, 10]. Current observations on the role of NLRP3 in GDM suggest that NLRP3 is implicated as a therapeutic target of reproductive disorder, including GDM [11]; thus, the NLRP3 inhibitor might be a potential strategy to treat NLRP3-driven GDM. Several NLRP3 inhibitors have been recognized, including MCC950 and ODLT1177 [12, 13], and they were also reported to ameliorate some NLRP3 inflammasome-driven diseases.
Tranilast N-(3,4-dimethoxycinnamoyl) anthranilic acid (N-5) was first developed as an anti-allergic drug, then applied as an anti-inflammatory agent to treat inflammation-related diseases, such as atypical dermatitis, allergic conjunctivitis, keloids and hypertrophic scars, and bronchial asthma [14]. In recent years, its suppressive effect on inflammation was mostly due to its direct inhibition on NLRP3 inflammasomes [15]. Tranilast was further proved to regulate NLRP3 ubiquitination, which contributed to the degrading of NLRP3 [12]. Therefore, we aimed to explore the protective effect of the clinically available NLRP3 inhibitor tranilast [15] on GDM in a genetic GDM mouse model.
Materials and Methods
GDM Mouse Model
C57BL/KsJ+/+ (wild type, WT) and C57BL/KsJdb/+ (db/+) mice were purchased from Shanghai Model Organisms (Shanghai, China). Female db/+ mice aged 8–12 weeks were mated with age-matched male WT mice, and mating was confirmed by the presence of a copulatory plug on the next day, which was designated as gestational day (GD) 0. Pregnant db/+ mice (GDM mice) were randomly divided into three groups, and orally treated with phosphate-buffered saline (control), 20 mg/kg of metformin (metformin), or 20 mg/kg of tranilast (tranilast), respectively, from GD 0 daily for 2 weeks. The doses of metformin or tranilast were based on previous publications [16, 17]. Pregnant WT female mice, which were mated with WT male mice, were used as controls (WT). On GD 1, GD 8, and GD 15, pregnant mice from all groups were weighed. Non-fasting blood glucose levels were measured from the tail vein by a glucometer (Roche Diagnostics, Risch-Rotkreuz, Switzerland). Insulin levels in the serum were analyzed using the Ultra Sensitive Mouse Insulin ELISA kit according to the manufacturer’s instructions (Alpco Diagnostics, Salem, NH, USA) [18]. After delivery, the litter size of offspring born from each pregnant mouse was recorded, and the body weight at birth of their offspring was weighed [19, 20]. The study was approved by the Ethics Committee of Tianjin First Central Hospital.
Glucose and Insulin Tolerance Tests
A glucose tolerance test and an insulin tolerance test were performed as previously described [21]. On GD 16, mice were intraperitoneally injected with 2 g/kg of glucose after 6 hours of fasting, then blood glucose levels were measured at indicated timepoints (0, 30, 60, 90, and 120 minutes after the glucose injection) using a glucometer. For insulin tolerance tests, mice were intraperitoneally injected with 1 mU/kg of insulin after a 1-hour fast, then blood glucose levels were measured and recorded at indicated timepoints [22].
Western Blot
Visceral adipose tissues and placentas were collected from pregnant mice and digested in RIPA buffer supplemented with a protease inhibitor cocktail (Sigma-Aldrich, St Louis, MO, USA) to extract protein. Western blot was performed as previously described [23]. Briefly, the same amounts of protein were loaded into SDS-PAGE gel, and transferred onto a PVDF membrane. After blocking in 5% milk, the membrane was incubated with a primary antibody followed by the incubation of a secondary antibody. The antibodies used were anti-NLRP3 (Santa Cruz Biotechnology, Inc., Santa Cruz, CA, USA, catalog: sc-134306), TNF-α (Abcam, Cambridge, MA, USA, catalog: ab6671), IL-6 (Abcam, catalog: ab208113), and β-actin (Sigma-Aldrich, clone number: AC-15). The protein bands were quantified using ImageJ software (National Institutes of Health, Bethesda, MD, USA) [24].
Statistical Analysis
Data were analyzed by one-way analyses of variance with a Tukey post-hoc test used for multiple comparisons, and a Student’s t-test was used for two-group comparisons. Data are represented as means ± standard deviations. P < 0.05 was considered as a significant difference.
Results
NLRP3 Inflammasomes were Activated in the VAT and Placenta of Mice with GDM
We first explored the activation of NLRP3 inflammasomes in the VAT and placenta of GDM mice, where there were accumulated macrophages during pregnancy. In the VAT and placenta of WT pregnant mice, the NLRP3 protein level was slightly increased on GD 15 with no difference in the early stage of pregnancy (GD 1 and GD 8). Gestational diabetes mellitus mice had greatly elevated expressions of NLRP3 in the VAT (Fig. 1A–C) and placenta (Fig. 1D–F) on GD 8, and its expression was further elevated on GD 15. These data indicated that NLRP3 inflammasomes were gradually activated in the VAT and placenta of GDM mice.
Tranilast Attenuated the Symptoms of GDM in GDM Mice
Next, GDM mice were orally administered 20 mg/kg of metformin, 20 mg/kg of NLRP3 inhibitor tranilast, or phosphate-buffered saline daily from GD 1 for 2 weeks as shown in Fig. 2A. Compared with WT mice, GDM mice in the control group gradually displayed GDM symptoms from GD 1 to GD 15, including elevated maternal body weight and blood glucose as well as decreased insulin levels (Fig. 2B–D). Metformin has proven to be a safe and effective drug to treat GDM [25]; therefore, we compared the efficacies of metformin and tranilast on GDM. Compared with GDM mice, metformin remarkably decreased the maternal body weight and blood glucose, and increased insulin levels, but all of these GDM symptoms could be further attenuated by treatment with tranilast. Furthermore, metformin ameliorated glucose and insulin intolerance in GDM mice, and tranilast further increased glucose and insulin sensitivity (Fig. 3A, B). Altogether, these data indicated that tranilast significantly attenuated the symptoms of GDM, and its therapeutic effect on GDM symptoms was even better than that of metformin.
Tranilast Inhibited NLRP3 Expressions in the VAT and Placenta of GDM Mice
To explore the role of the NLRP3 inhibitor on GDM, we first analyzed NLRP3 expressions in the VAT and placenta of mice with GDM. As expected, GDM mice displayed a higher expression of NLRP3 than WT mice, which could be significantly restored by tranilast both in the VAT (Fig. 4A, C) and placenta (Fig. 4C, D). However, metformin had no effect on the increases in NLRP3 expression.
Tranilast Inhibited Inflammation in GDM Mice
Next, we evaluated the protective role of tranilast on inflammation in GDM mice. Inflammation activated in GDM mice, as reflected by the increased proteins and genes of proinflammatory cytokines, including TNF-α and IL-6, was reduced by metformin in the VAT (Fig. 5A–B and E) and placenta (Fig. 5C–D and F). Moreover, secreted TNF-α and IL-6 in the serum, which were increased in GDM mice, were significantly decreased by tranilast or metformin (Fig. 5G–H). Notably, compared with metformin, tranilast further decreased the expressions of TNF-α and IL-6. Thus, tranilast significantly suppressed the inflammatory responses in GDM mice.
Tranilast Improved Reproductive Outcomes of Pregnant GDM Mice
Next, we measured the effect of tranilast on the reproductive outcomes of pregnant mice. The offspring of GDM mice had a smaller litter size and heavier body weight than the offspring of WT mice. Tranilast significantly increased the litter size and decreased their body weight; however, metformin had no effect on the reproductive outcomes of GDM mice (Fig. 6A–B).
Discussion
Gestational diabetes mellitus is a hyperglycemic state during pregnancy that causes severe damage to both pregnant women and their offspring. Our study investigated the protective effect of the NLRP3 inhibitor, tranilast, against GDM, and explored the underlying mechanisms.
The pathophysiology of GDM is complex and its determination of risk factors is also complicated by inconsistent diagnostic criteria, but obesity is a well-established and well-known risk factor of GDM. Inflammation is closely associated with obesity as well as GDM. Inflammation might also be the pathophysiological link between GDM and type 2 diabetes as well as cardiovascular diseases in patients with GDM after delivery [26, 27]. Therefore, based on the significant impact of systemic inflammation on the development of GDM, a variety of anti-inflammatory agents is always investigated as therapeutic candidate drugs for GDM [28].
Chronic inflammation is characterized as the excessive secretions of proinflammatory cytokines such as TNF-α, IL-6, IL-1β, C-reactive protein, and IL-18, which are the most common increased proinflammatory cytokines in the circulating system of patients with GMD. However, there are several sources of proinflammatory cytokines. Therefore, instead of measuring secretions of proinflammatory cytokines in the circulating blood, we evaluated the protein expressions of proinflammatory cytokines in the VAT and placenta. Our project explored the activation of the NLRP3 inflammasome in these two parts; therefore, protein levels of cytokines in the VAT and placenta were more representative of the inflammatory response than their secretions in the blood. In our study, we evaluated the expressions of TNF-α and IL-6 as inflammatory markers to indicate the inflammatory levels, and our data clearly demonstrated that inflammation was activated in the VAT and placenta of genetic GDM mice, which was consistent with previous studies.
Previous studies indicated that macrophages were significantly accumulated in the VAT and placenta of patients with GDM [7, 8], which facilitated the secretions of proinflammatory cytokines as well as the activation of the NLRP3 inflammasome. That was the reason why we explored the VAT and placenta in our study. In addition, VAT and placenta were recognized as major sources of proinflammatory cytokines, and secreted cytokines could stimulate the production of adipokines, which in turn accelerated the inflammatory responses. Notably, emerging evidence discovered that a cross-talk between adipose tissue and the placenta played an important role during pregnancy [8]. This might explain the cross-talk between the VAT and placenta that facilitated the inflammatory responses to activate NLRP3 inflammasomes.
Emerging studies have demonstrated that the NLRP3 inflammasome is recognized as a novel target for several reproductive disorders, including pre-eclampsia, GDM, polycystic ovarian syndrome, preterm birth, and recurrent spontaneous abortion [12]. Based on the impact of the NLRP3 inflammasome on GDM, the NLRP3 inhibitor might be the candidate drug for treating GDM. However, until now, only Astragaloside IV was reported to effectively ameliorate GDM by inhibiting the NLRP3 inflammasome [29]. Therefore, our study is the first to prove that tranilast is an ideal NLRP3 inhibitor to serve as a therapeutic drug to treat GDM mice.
Tranilast was a clinically available NLRP3 inhibitor already approved for use in humans [14], which was different from other NLRP3 inhibitors. Here, our data clearly indicated its effectiveness on GDM. Once more evidence proves that tranilast effectively ameliorates GDM without side effects to both pregnant women and their offspring, it could be directly used in clinical application to treat patients with GDM.
Our study was based on a GDM mouse model rather than in vitro experiments and patient samples, which is our study’s limitation. We might explore how tranilast affects GDM in vitro, with regard to glucose uptake, glucose consumption, inflammatory cytokine secretions, or insulin sensitivity. This needs further exploration in the future. A previous publication indicated that tranilast could improve diabetes through a tumor growth factor-β/Smad signaling pathway [30], and tranilast also attenuated mesenteric vascular collagen deposition and chymase-positive mast cells to improve diabetes [31], which might also be a potential mechanism to explain the protective effect of tranilast on GDM.
In addition, there are many publications exploring the relationship of NLRP3 in GDM, including activating the Toll-like receptor 4/MyD88/nuclear factor-kappa B signaling pathway [32], which suggests elucidating the mechanism of the protective role of tranilast on GDM should be explored in the future. Furthermore, the protective effect of tranilast in patients with GDM needs to be evaluated. We chose 20 mg/kg of tranilast as previously published [33], but to better evaluate its protective role in GDM, it might be better to try other doses of tranilast in the future.
Conclusions
Our data clearly clarify the protective role of tranilast on GDM by inhibiting the activation of the NLRP3 inflammasome as well as inflammatory responses in the VAT and placenta. Based on the findings, it is proposed that tranilast might serve as a therapeutic drug to treat GDM.
Declarations
Funding
No sources of funding were received for the preparation of this article.
Conflicts of interest/competing interests
The authors declare that they have no competing interests.
Ethics Approval
The study was approved by the Ethics Committee of Tianjin First Central Hospital.
Consent to Participate
Not applicable.
Consent for Publication
Not applicable.
Availability of Data and Material
Data may be obtained upon reasonable request to the authors.
Code Availability
None.
Authors’ Contributions
Jing Cao and Qian Peng conducted the experiments, analyzed the data, and wrote the manuscript. Jing Cao conceived the study.
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