Literature DB >> 31683992

Involvement of Receptor for Advanced Glycation Endproducts in Hypertensive Disorders of Pregnancy.

Juria Akasaka1, Katsuhiko Naruse2, Toshiyuki Sado3, Tomoko Uchiyama4, Mai Makino5, Akiyo Yamauchi6, Hiroyo Ota7, Sumiyo Sakuramoto-Tsuchida8, Asako Itaya-Hironaka9, Shin Takasawa10, Hiroshi Kobayashi11.   

Abstract

Preeclampsia/hypertensive disorders of pregnancy (PE/HDP) is a serious and potentially life-threatening disease. Recently, PE/HDP has been considered to cause adipose tissue inflammation, but the detailed mechanism remains unknown. We exposed human primary cultured adipocytes with serum from PE/HDP and healthy controls for 24 h, and analyzed mRNA expression of several adipokines, cytokines, and ligands of the receptor for advanced glycation endproducts (RAGE). We found that the mRNA levels of interleukin-6 (IL-6), C-C motif chemokine ligand 2 (CCL2), high mobility group box 1 (HMGB1), and RAGE were significantly increased by the addition of PE/HDP serum. Among RAGE ligands, advanced glycation endproducts (AGE) and HMGB1 increased mRNA levels of IL-6 and CCL2 in SW872 human adipocytes and mouse 3T3-L1 cells. The introduction of small interfering RNA for RAGE (siRAGE) into SW872 cells abolished the AGE- and HMGB1-induced up-regulation of IL-6 and CCL2. In addition, lipopolysaccharide (LPS), a ligand of RAGE, increased the expression of IL-6 and CCL2 and siRAGE attenuated the LPS-induced expression of IL-6 and CCL2. These results strongly suggest that the elevated AGE, HMGB1, and LPS in pregnant women up-regulate the expression of IL-6 and CCL2 via the RAGE system, leading to systemic inflammation such as PE/HDP.

Entities:  

Keywords:  AGE; CCL2; IL-6; LPS; RAGE; adipocyte; hypertensive disorders of pregnancy

Mesh:

Substances:

Year:  2019        PMID: 31683992      PMCID: PMC6862609          DOI: 10.3390/ijms20215462

Source DB:  PubMed          Journal:  Int J Mol Sci        ISSN: 1422-0067            Impact factor:   5.923


1. Introduction

Preeclampsia/hypertensive disorders of pregnancy (PE/HDP) is a serious and potentially life- threatening disease appearing as a complication in about 2–12% of all pregnancies and associated with significant perinatal and maternal mortality [1,2]. It is estimated that more than 60,000 women worldwide die of the disease each year; it is one of the main causes of maternal mortality [3]. There is considerable evidence that maternal obesity, increased insulin resistance, inflammation, and aberrant fatty acid metabolism are involved in the pathogenesis of PE/HDP [4,5]. Inflammatory reactions have recently been attracting attention as the pathophysiological characteristics of PE/HDP, including vascular endothelial dysfunction and placental abnormalities [6,7,8,9,10,11,12,13,14]. Shallow trophoblast invasion and inadequate artery remodeling in pregnancy may cause placental hypoperfusion, hypoxia, or ischemia, which play an important role in the pathogenesis of PE/HDP [15]. The link between adiposity, inflammation, and insulin resistance has been increasingly acknowledged since Spiegelman and his colleagues demonstrated the relationship [16]. White adipose tissue secretes pro-inflammatory cytokines which contribute significantly to the chronic inflammatory state and metabolic complications of obesity [17]. It is plausible that similar disturbances in adipocyte function might contribute to the development of the clinical syndrome of PE/HDP, a state of inflammation and insulin resistance. Adipose tissue, complex tissue composed of preadipocytes, adipocytes, and stromal vascular cells, is one of the representative organs to contribute to worsening insulin resistance through inflammation and subsequent dysfunction. Visceral adiposity correlates with metabolic risk factor [18] and adverse metabolic outcomes in pregnancy including gestational diabetes mellitus and PE/HDP [19,20,21]. Adipokines are cytokines expressed in and secreted from adipocytes in response to the systemic nutritional status, and some of them induce macrophage infiltration and inflammatory cytokine secretion [22,23]. In the present study, we analyzed expression of adipokines including inflammatory cytokines in adipocytes and found the involvement of receptor for advanced glycation endproducts (RAGE) in expression of interleukin-6 (IL-6) and C-C motif chemokine ligand 2 (CCL2) in adipocytes.

2. Results

2.1. PE/HDP Patient Sera Up-Regulated Gene Expression of IL-6, CCL2, High Mobility Group Box (HMGB)1, S100 Ca2+-Binding Protein B (S100B), and Receptor for Advanced Glycation Endproducts (RAGE) in Primary Cultured Human Adipocytes

Obesity increases PE/HDP risk. Maternal obesity, increased insulin resistance, and inflammation are involved in the pathogenesis of PE/HDP [24,25]. Furthermore, PE/HDP risk has been reported to increase 2–4-fold among women with diabetes [26]. We therefore hypothesized that the PE/HDP patient sera contain some of these factors that induce insulin resistance and/or inflammation. We incubated primary cultured human adipocytes with sera from disease-free pregnant women (control) or those from PE/HDP (patients) for 24 h, and the gene expression of IL-6, CCL2, tumor necrosis factor α (TNFα), leptin (LEP), adiponectin (ADIP), resistin (RETN), HMGB1, S100B, and RAGE in the adipocytes was measured via real-time reverse transcriptase-polymerase chain reaction (RT-PCR). As shown in Figure 1, mRNA levels of IL-6, CCL2, HMGB1, S100B, and RAGE, but not TNFα, LEP, ADIP, and RETN (P = 0.4496, P = 0.1157, P = 0.0875, and P = 0.2912, respectively) were significantly increased by the addition of PE/HDP patient sera compared to those cells incubated with control sera.
Figure 1

The mRNA levels of IL-6, CCL2, TNFα, LEP, ADIP, RETN, HMGB1, S100B, and RAGE in primary cultured human adipocytes treated with sera from disease-free control (Control) or preeclampsia/hypertensive disorders of pregnancy (PE/HDP) patients (Patients) for 24 h. The levels of the mRNAs were measured via real-time reverse transcriptase-polymerase chain reaction (RT-PCR) using β-actin as an endogenous control. Data are expressed as mean ± SE for each group (n = 4). The statistical analyses were performed using Student’s t-test.

2.2. Up-Regulation of IL-6 and CCL2 by HMGB1 and Advanced Glycation Endproducts (AGE) in Adipocytes

It is well-known that HMGB1 and S100B are typical ligands for RAGE. RAGE expression was reported in adipocytes and SW872 cells [27,28], and furthermore immunofluorescent staining of RAGE in 3T3-L1 adipocytes was shown [27]. RAGE expression was up-regulated by ligands for RAGE [29], we tested whether ligands for RAGE up-regulate gene expression of inflammatory mediators, such as IL-6 and CCL2, in human SW872 adipocytes. We added HMGB1, AGE, and S100B in SW872 culture medium, incubated for 24 h, and the expression of IL-6 and CCL2 was analyzed via real-time RT-PCR. As shown in Figure 2, mRNAs of IL-6 and CCL2 were significantly up-regulated by the addition of HMGB1 and AGE. In contrast, S100B, another noted ligand for RAGE, failed to up-regulate mRNA for IL-6 or CCL2.
Figure 2

The mRNA levels of IL-6 and CCL2 in SW872 human adipocytes treated with 1 µg/mL HMGB1, 150 µg/mL advanced glycation endproducts (AGE), or 100 ng/mL S100B for 24 h. The levels of the mRNAs were measured via real-time RT-PCR using β-actin as an endogenous control. Data are expressed as mean ± SE for each group (n = 4). The statistical analyses were performed using Student’s t-test vs. No addition.

In order to see whether the up-regulation of mRNAs for IL-6 and Ccl2 occurred only in SW872 or other adipocytes, we cultured mouse 3T3-L1 preadipocytes, differentiated them into differentiated adipocytes, and tested whether ligands for RAGE up-regulate gene expression of IL-6 and Ccl2 in mouse 3T3-L1 undifferentiated preadipocytes and differentiated adipocytes. As shown in Figure 3, the mRNA levels of IL-6 were significantly up-regulated by AGE and HMGB1 but not by S100B (P = 0.6414) in differentiated 3T3-L1 adipocytes, but unchanged by any of the RAGE ligands (AGE, HMGB1, or S100B) in undifferentiated preadipocytes (P = 0.8037 [No addition vs. AGE], P = 0.4793 [No addition vs. HMGB1], and P = 0.3138 [No addition vs. S100B]). In contrast, the mRNA levels of Ccl2 remained unchanged in response to AGE, HMGB1, or S100B in 3T3-L1 differentiated adipocytes (P = 0.1892 [No addition vs. AGE], P = 0.2885 [No addition vs. HMGB1], and P = 0.4024 [No addition vs. S100B]), but significantly up-regulated in the undifferentiated preadipocytes by the addition of AGE but not by HMGB1 and S100B (P = 0.1241 [No addition vs. HMGB1] and P = 0.4305 [No addition vs. S100B]) (Figure 3). Previous studies reported that S100B up-regulated TNFα in adipocytes [30,31]. In contrast, S100B induced neither IL-6 nor CCL2 in adipocytes in this study, suggesting that SW872 and 3T3-L1 cells may insensitive to S100B.
Figure 3

The mRNA levels of IL-6 and Ccl2 in 3T3-L1 mouse cells (undifferentiated preadipocytes and differentiated adipocytes) treated with 300 µg/mL AGE, 1 µg/mL HMGB1, or 100 ng/mL S100B for 24 h. The levels of the mRNAs were measured via real-time RT-PCR using rat insulinoma gene (Rig)/ribosomal protein S15 (RpS15) as an endogenous control. Data are expressed as mean ± SE for each group (n = 4). The statistical analyses were performed using Student’s t-test vs. No addition.

2.3. Down-Regulation of RAGE Attenuated the Increases of IL-6 and CCL2 in Adipocytes Treated with Small Interfering RNA (siRNA) for RAGE

In order to see the mechanism of HMGB1- and AGE-induced gene expression of IL-6 and CCL2, RAGE gene was knocked down by RNA interference. The expression of IL-6 and CCL2 was significantly increased by the addition of HMGB1 and AGE even in the presence of scrambled RNA. In contrast, introduction of small interfering RNA (siRNA) for RAGE (siRAGE) clearly inhibited the HMGB1- and AGE-induced increases of mRNAs for IL-6 and CCL2 in SW872 human adipocytes (Figure 4; P = 0.2638 [No addition vs. HMGB1 in IL-6], P = 0.0744 [No addition vs. AGE in IL-6], P = 0.2559 [No addition vs. HMGB1 in CCL2], and P = 0.5541 [No addition vs. AGE in CCL2]).
Figure 4

Effects of siRNA against RAGE on HMGB1- and AGE-induced gene expression of IL-6 and CCL2. SiRNA for RAGE was transfected into SW872 cells and the cells were incubated with HMGB1 or AGE for 24 h. The levels of IL-6 and CCL2 mRNA were measured via real-time RT-PCR using β-actin as an endogenous control. Data are expressed as mean ± SE for each group (n = 4). The statistical analyses were performed using Student’s t-test vs. No addition.

We also measured the concentrations of IL-6 and CCL2 in the RAGE-knocked-down SW872 cell culture medium via enzyme-linked immunosorbent assay (ELISA). The concentrations of IL-6 and CCL2 were significantly increased in response to HMGB1 and AGE in scrambled RNA-introduced cell culture medium. In contrast, the introduction of siRAGE significantly attenuated the HMGB1- and AGE-induced increases of IL-6 and CCL2 in the medium (Figure 5).
Figure 5

Effect of siRNA against RAGE on the HMGB1- and AGE-induced expression of IL-6 and CCL2. SiRNA for RAGE was transfected into SW872 cells and the cells were incubated with HMGB1 or AGE for 24 h. The levels of IL-6 and CCL2 in the cell culture medium were measured via ELISA. Data are expressed as mean ± SE for each group (n = 4). The statistical analyses were performed using Student’s t-test vs. No addition.

2.4. Up-Regulation of IL-6 and CCL2 by Lipopolysaccharide (LPS) in Adipocytes

Recent reports indicated that PE/HDP is also induced by lipopolysaccharide (LPS) [32] and that RAGE mediates LPS signaling and acts as an LPS receptor [33,34,35,36,37,38]. Thus, we tested whether LPS up-regulate gene expression of IL-6 and CCL2 in human SW872 adipocytes. We added 10 ng/mL LPS in SW872 culture medium, incubated for 24 h, and the expression of IL-6 and CCL2 was analyzed via real-time RT-PCR. As shown in Figure 6, mRNAs of IL-6 and CCL2 were significantly up-regulated by the addition of LPS.
Figure 6

The mRNA levels of IL-6 and CCL2 in SW872 human adipocytes treated with 10 ng/mL lipopolysaccharide (LPS) for 24 h. The levels of the mRNAs were measured via real-time RT-PCR using β-actin as an endogenous control. Data are expressed as mean ± SE for each group (n = 4). The statistical analyses were performed using Student’s t-test.

We next measured IL-6 and CCL2 in the LPS-stimulated SW872 cell culture medium and found that the levels of IL-6 and CCL2 in the LPS-stimulated SW872 culture medium were also elevated significantly (Figure 7).
Figure 7

The levels of IL-6 and CCL2 in culture medium of SW872 human adipocytes treated with 10 ng/mL LPS for 24 h. The levels of IL-6 and CCL2 in the cell culture medium were measured via ELISA. Data are expressed as mean ± SE for each group (n = 4). The statistical analyses were performed using Student’s t-test.

2.5. Down-Regulation of RAGE Attenuated the LPS-Induced IL-6 and CCL2 Increases in Adipocytes

In order to confirm whether the mechanism of LPS-induced IL-6 and CCL2 up-regulation is also mediated by RAGE, RAGE gene was knocked down by RNA interference. The expression of IL-6 and CCL2 was significantly increased by the addition of LPS even in the presence of scrambled RNA. In contrast, introduction of siRAGE clearly inhibited the LPS-induced increases of mRNAs for IL-6 and CCL2 in SW872 human adipocytes (Figure 8).
Figure 8

Effects of siRNA against RAGE on the LPS-induced gene expression of IL-6 and CCL2. SiRNA for RAGE was transfected into SW872 cells and the cells were incubated with 10 ng/mL LPS for 24 h. The levels of IL-6 and CCL2 mRNA were measured via real-time RT-PCR using β-actin as an endogenous control. Data are expressed as mean ± SE for each group (n = 4). The statistical analyses were performed using Student’s t-test.

We also measured the concentrations of IL-6 and CCL2 in the RAGE-knocked-down SW872 cell culture medium via ELISA. The concentrations of IL-6 and CCL2 were significantly increased in response to the addition of LPS in scrambled RNA-introduced cell culture medium. In contrast, the introduction of siRAGE significantly attenuated the LPS-induced increases of IL-6 and CCL2 in the medium (Figure 9).
Figure 9

Effect of siRNA against RAGE on the LPS-induced expression of IL-6 and CCL2. SiRNA for RAGE was transfected into SW872 cells and the cells were incubated with LPS for 24 h. The levels of IL-6 and CCL2 in the cell culture medium were measured via ELISA. Data are expressed as mean ± SE for each group (n = 4). The statistical analyses were performed using Student’s t-test.

3. Discussion

Previous studies indicated that body mass index (BMI), anemia, lower education, maternal age, primiparity, multiple pregnancy, PE/HDP in previous pregnancy, gestational diabetes mellitus, preexisting hypertension, preexisting type 2 diabetes mellitus, preexisting urinary tract infection, and a family history of hypertension, type 2 diabetes mellitus, or PE/HDP are potential risk factors for PE/HDP [39,40]. Of the risk factors, obesity is a major risk factor and is associated with an increased risk for obstetrical complications such as gestational diabetes mellitus, PE/HDP, pre-term delivery, and Cesarean section [41,42,43,44,45], and increased neonatal morbidity and mortality [42,46,47]. Maternal obesity has been associated with low-grade metabolic inflammation due to increased release of adipokines, which are believed to contribute to maternal glucose intolerance and insulin resistance and cardiovascular and neuroendocrine modulation associated with increased maternal BMI [48]. Increased cytokine and decreased adiponectin release from adipose tissue have been linked to the meta-inflammatory state of obesity [49,50]. In this study, we measured the mRNA levels for adipokines (LEP, ADIP, and RETN) in human primary adipocytes and found that they were not up-regulated in response to the addition of sera from PE/HDP patients. We also measured mRNA levels of TNFα, IL-6, and CCL2, which have been reported to play important roles in pathogenesis or development of PE/HDP, and found that the expression of IL-6 and CCL2 was elevated in response to the addition of PE/HDP sera. In addition, the mRNA levels of RAGE system members (HMGB1, S100B, and RAGE) were significantly elevated by the addition of PE/HDP patient sera, suggesting possible involvement of the RAGE system in the up-regulation of IL-6 and CCL2 in adipocytes. In order to verify this possibility, we tested whether RAGE ligands up-regulate expression of IL-6 and CCL2 using human SW872 adipocytes and mouse 3T3-L1 cells and found that AGE and HMGB1 but not S100B significantly up-regulated gene expression of IL-6 and CCL2 in SW872 cells. In contrast to SW872 cells, AGE and HMGB1 up-regulated the gene expression of IL-6 in differentiated 3T3-L1 cells but not in undifferentiated cells, and the addition of AGE, but neither HMGB1 nor S100B, up-regulated Ccl2 expression in undifferentiated 3T3-L1 cells but any of them up-regulated Ccl2 in differentiated cells. These results indicate that RAGE ligands, especially AGE and HMGB1, stimulate adipocytes to induce gene expression of IL-6 and CCL2. IL-6 is a key player in tissue inflammation and insulin resistance, and was observed in higher serum concentrations in PE/HDP patients [51]. CCL2, also referred as monocyte chemoattractant protein-1, is a key regulator of monocyte infiltration of adipose tissue, and it plays a central role in the development and maintenance of chronic adipose tissue inflammation and insulin resistance [23,52,53]. Therefore, IL-6 and CCL2 could be key players produced from adipocytes to induce tissue damages in PE/HDP patients. Exposure of the amino acid residues of proteins to reducing sugars, such as glucose, results in non-enzymatic glycation, which forms reversible Schiff bases and subsequently Amadori compounds. A series of further complex molecular rearrangements including dehydration, condensation, and crosslinking, yield irreversible and heterogeneous derivatives termed AGE. AGEs are chemically heterogeneous groups of compounds. Apart from endogenously formed AGEs, exogenous AGEs from foods are absorbed in the gastrointestinal tract and reportedly constitute ~10% of total AGE in the body. In animal studies, the restriction of dietary AGE intake significantly improved insulin sensitivity and extended lifespan. HMGB1 is a nuclear protein that stabilizes nucleosome formation and facilitates transcription. HMGB1 is a strong inflammatory trigger from necrotic cells as a result of passive leakage, and can be actively secreted by activated monocytes, macrophages, dendritic cells, natural killer cells, and endothelial cells, though there is no canonical signal sequence in the HMGB1 protein. It is well-known that the levels of AGE in serum such as hemoglobin A1c (HbA1c) are increased in diabetes (hyperglycemia) patients and that diabetes is a typical risk factor for PE/HDP. Elevated HMGB1 was observed in pregnant women with other pro-inflammatory conditions as obesity and pre-term labor. It is well established that labor is associated with a pro-inflammatory systemic response. Extracellular HMGB1 exerts its cytokine-like activity by binding to RAGE receptor. In fact, the serum HMGB1 levels were significantly increased in the PE/HDP patients (329.2 ± 93.18 ng/mL) than those in control patients (35.45 ± 25.11 ng/mL) (P = 0.0473). In the management of pregnant women, monitoring of blood glucose and HbA1c are very common but HMGB1 levels in serum are rarely monitored. Although the numbers of PE/HDP patients in our study were relatively small, the increased tendency of serum HMGB1 in PE/HDP patients suggests that the serum HMGB1 measuring could be a new marker for screening of PE/HDP risk. As AGE and HMGB1 are ligands for RAGE, it is quite possible that AGE- and HMGB1-induced up-regulation of IL-6 and CCL2 is mediated via RAGE. In fact, the introduction of siRAGE abolished the AGE- and HMGB1-mediated increases of gene expression of IL-6 and CCL2 in adipocytes (Figure 4 and Figure 5), indicating involvement of AGE and/or HMGB1/RAGE system in the up-regulation of IL-6 and CCL2 in adipocytes. Among major RAGE ligands, we tested S100B, in addition to AGE and HMGB1, but S100B failed to increase gene expression of IL-6 and CCL2. As most but not all the ligands for RAGE up-regulate (pro)inflammatory mediators, such as IL-6 and CCL2, some other RAGE ligands such as macrophage-1 antigen/cluster of differentiation molecule 11b [54], amyloid β peptide [55], β-sheet fibrils [56], advanced oxidation protein products [57], complement C3a [58], LPS [33], and phosphatidylserine on the surface of apoptotic cells [59] might increase the expression of IL-6 and CCL2, leading to PE/HDP in pregnant women. In fact, recent reports showed that PE/HDP was also induced by LPS [32], and that RAGE mediated LPS signaling and acted as an LPS receptor [33,34,35,36,37,38]. Thus, we tested whether LPS up-regulate gene expression of IL-6 and CCL2 in human SW872 adipocytes, and found that LPS significantly up-regulated the expression of IL-6 and CCL2 in SW872 cells via RAGE (Figure 6, Figure 7, Figure 8 and Figure 9). Some soluble products of RAGE such as soluble RAGE (sRAGE) and endogenous secretory RAGE (esRAGE) are generated from RAGE gene and modulate the RAGE signaling [60,61]. It was previously reported that the levels of sRAGE were reduced in PE/HDP patient serum and that serum esRAGE and the esRAGE/sRAGE ratio were elevated in PE/HDP patient serum [62]. It was also reported that pregnancy induced a significant increase in RAGE protein levels in both myometrium and omental vasculature and that blood vessels from women with preeclampsia had intense staining for RAGE in both vessel beds [63]. In the present study, we showed the up-regulation of RAGE in adipocytes by PE/HDP sera (Figure 1) but did not see sRAGE and esRAGE. Reduction of sRAGE and elevation of esRAGE/sRAGE ratio could be a potential marker for screening of PE/HDP risk. Nuclear factor κ-light-chain-enhncer of activated B cells (NF-κB) is a key transcription factor for the expression of IL-6 and CCL2 [64,65]. RAGE ligands usually activate NF-κB [66]. The RAGE-NF-κB-IL-6/CCL2 pathway might function in adipocytes stimulated by RAGE ligands (AGE, HMGB1, and LPS), resulting in the development of inflammation that may lead to PE/HDP in pregnant women.

4. Materials and Methods

4.1. Patient Samples

The study was approved by the Local Ethics Committee at Nara Medical University (Kashihara, Japan; approval number 873, 24 July 2014), and all participants provided written informed consent. We included PE/HDP patients with a pregnancy and disease-free pregnant women with pregnancy were the control (Table 1). The participants’ BMI values before pregnancy were less than 25 kg/m2 with gestational age-matched normal pregnant women at 27 weeks’ gestation or later. All subjects were Eastern Asian origin, and none of the subjects were taking any medication or showed evidence of any metabolic diseases or other complications besides PE/HDP. PE/HDP was defined as new onset and diagnosed based on two consecutive measurements of diastolic and systolic blood pressure, diastolic blood pressure greater than or equal to 90 mmHg, or systolic blood pressure was greater than or equal to 140 mmHg, with urine protein over 300 mg/day, occurring diagnosed after 20 weeks of gestation [67]. All subjects (4 patients and 4 controls) provided serum samples for analysis and did not have gestational diabetes mellitus, thyroid malfunction, or other complications. All venous blood samples were obtained after an overnight fast at routine medical examination. The sera were separated immediately and stored at −80 °C for 3 years at the longest and 6 months at the shortest. HMGB1 concentrations of the sera were measured using Human HMGB1 ELISA kit (Arigo Biolaboratories Corp., Hsinchu, Taiwan).
Table 1

Clinical characteristics of patients/controls involved in the study.

Patients/ControlsAge (Years)BMIGestational Age at Blood Sampling (Week)Parity
PE/HDP #13323.2300
PE/HDP #22721.9291
PE/HDP #32821.3280
PE/HDP #42923.4270
Control #13022.4280
Control #22924.6280
Control #32623.8270
Control #43322.4282

4.2. Cell Culture and Treatment

Human primary visceral preadipocytes were purchased from ZenBio, Inc. (Research Triangle Park, NC, USA). The cells were differentiated to adipocytes according to the supplier’s protocol, and their differentiation to mature adipocyte was confirmed by Oil Red O staining. The primary adipocytes were incubated with 10% individual PE/HDP patient serum (#1~#4) and control serum (#1~#4) for 24 h. Human SW872 adipocytes were purchased from American Type Culture Collection (ATCC, Manassas, VA), and cultured at 37 °C with 5% CO2 in DMEM medium (Wako Pure Chemical Industries, Ltd., Osaka, Japan) supplemented with 10% fetal calf serum (FCS), 100 units/mL penicillin G (Wako) and 100 μg/mL streptomycin (Wako) as described [68]. Mouse 3T3-L1 preadipocytes were purchased from Japanese Collection of Research Bioresources (JCRB) Cell Bank (Ibaraki, Japan), and cell culture and differentiation of 3T3-Ll preadipocytes were performed as described by Ntambi et al. [69,70]. Briefly, confluent 3T3-Ll pre-adipocytes monolayers were incubated for 72 h in DMEM medium containing 10% FCS, 0.5 mM methylisobutylxanthine (IBMX; Wako), 1 µM dexamethasone (Wako), and 10 µg/mL insulin (Wako). After 72 h the cells were washed free of IBMX and dexamethasone and maintained in DMEM medium containing 10% FCS and 10 µg/mL insulin for 72 h. Adipocyte morphology was monitored by the appearance of cytoplasmic triacylglycerol droplets, which is closely correlated with the acquisition of the adipocyte phenotype. For the stimulation experiments, SW872 and 3T3-L1 cells (undifferentiated preadipocytes and differentiated adipocytes) were treated with 150 µg/mL (for SW872) or 300 µg/mL (for 3T3-L1) AGE-bovine serum albumin (BSA) (Calbiochem®, Merck KGaA, Darmstadt, Germany), 1 µg/mL HMGB1 (Bio-Techne, Minneapolis, MN) or 100 ng/mL S100B (Medical & Biological Laboratories Co., Ltd., Nagoya, Japan). SW872 cells were also treated with 10 ng/mL E. coli LPS (Wako) for 24 h as described [33].

4.3. Real-Time Reverse Transcriptase-Polymerase Chain Reaction (RT-PCR)

Total RNA was isolated using a RNeasy Protect Cell Mini Kit (Qiagen, Hilden, Germany) from primary cultured human visceral adipocytes, SW872, and 3T3-L1 adipocytes/preadipocytes, and cDNA was synthesized from total RNA as template using a High Capacity cDNA Reverse Transcription kit (Applied Biosystems, Foster City, CA) as described [68,70,71,72,73,74,75,76,77,78,79,80,81,82]. Real-time polymerase chain reaction (PCR) was performed using SYBR® Fast qPCR kit (KAPA Biosystems, Boston, MA) and a Thermal Cycler Dice Real Time System (Takara Bio Inc., Kusatsu, Japan). All the PCR primers were synthesized by Nihon Gene Research Laboratories, Inc. (NGRL; Sendai, Japan), and the primer sequences for each primer set are described in Table 2. PCR was performed with an initial step of 3 min at 95 °C followed by 40 cycles of 3 s at 95 °C and 20 s at 60 °C for human β-actin, mouse rat insulinoma gene (Rig)/ribosomal protein S15 (RpS15), mouse IL-6, human and mouse CCL2, human LEP, human ADIP, human RETN, human S100B, human HMGB1, and human RAGE, and with an initial step of 3 min at 95 °C followed by 40 cycles of 3 s at 95 °C and 20 s at 62 °C for human IL-6 and human TNFα. The mRNA expression levels were normalized to the mRNA level of Rig/RpS15 in mouse samples or β-actin in human samples [68,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85].
Table 2

Primers used for real-time reverse transcriptase-polymerase chain reaction (RT-PCR).

Target mRNAPrimer Sequence (Position)
Human IL-6 (NM_000600) 5′-GGTACATCCTCGACGGCATC-3′ (289–308)5′- GCCTCTTTGCTGCTTTCACAC-3′ (347–367)
Human CCL2 (NM_002982) 5′-GTCTCTGCCGCCCTTCTGT-3′ (80–98)5′-TTGCATCTGGCTGAGCGAG-3′ (137–155)
Human TNFα (NM_000594) 5′-CTTCTCCTTCCTGATCGTGG-3′ (280–299)5′-TCTCAGCTCCACGCCATT-3′ (518–535)
Human LEP (NM_000230) 5′-GGCTTTGGCCCTATCTTTTC-3′ (89–108)5′-GGATAAGGTCAGGATGGGGT-3′ (257–276)
Human ADIP (NM_001177800) 5′-CATGACCAGGAAACCACGACT-3′ (181–201)5′-TGAATGCTGAGCGGTAT-3′ (465–481)
Human RETN (NM_020415) 5′-TCCTCCTCCTCCCTGTCCTGG-3′ (63–83)5′-CAGTGACATGTGGTCTGGGCG-3′ (298-318)
Human S100B (NM_006272) 5′-AGGGAGGGAGACAAGCACAA-3′ (172–191)5′-ACTCGTGGCAGGCAGTAGTA-3′ (293–312)
Human HMGB1 (NM_001313893) 5′-ATATGGCAAAAGCGGACAAG-3′ (1126–1145)5′-AGGCCAGGATGTTCTCCTTT-3′ (1281–1300)
Human RAGE (NM_001136) 5′-TGGAACCGTAACCCTGACCT-3′ (856–875)5′-CGATGATGCTGATGCTGACA-3′ (1045–1064)
Human β-actin (NM_001101) 5′-GCGAGAAGATGACCCAGA-3’ (420–437)5´-CAGAGGCGTACAGGGATA-3´ (492–509
Mouse IL-6 (NM_031168) 5′-GTATGAACAACGATGATGCACTTG-3′ (305–328)5′-ATGGTACTCCAGAAGACCAGAGGA-3′ (418–441)
Mouse Ccl2 (NM_011333) 5′-CCACTCACCTGCTGCTACTCAT-3′ (176–197)5′-TGGTGATCCTCTTGTAGCTCTCC-3′ (229–251)
Mouse Rig/RpS15 (NM_009091)5′-ACGGCAAGACCTTCAACCAG-3′ (323–342)5′-ATGGAGAACTCGCCCAGGTAG-3′ (372–392)

4.4. Measurement of IL-6 and CCL2 Concentrations in Culture Medium via ELISA

Cells were stimulated with HMGB1 (1 µg/mL), AGE (150 and 300 µg/mL), S100B (100 ng/mL), and LPS (10 ng/mL) for 24 h, culture medium was collected, and the concentrations of IL-6 and CCL2 were measured by using a Human IL-6 ELISA kit (RayBiotech, Norcross, GA, USA) for IL-6 and a Quantikine® ELISA Human CCL2/MCP-1 Immunoassay kit (R&D Systems, Inc., Minneapolis, MN, USA) for CCL2, according to the instructions of suppliers.

4.5. RNA Interference (RNAi)

Small interfering RNA (siRNA) directed against human RAGE was synthesized by NGRL. The sense sequence of siRNA for human RAGE was 5′-AUCUACAAUUUCUGGCUUCtt-3′ (corresponding to 466-484 of NM_001136) as described [76,78]. The Silencer® Select human scrambled siRNA was purchased from Ambion® (Waltham, MA, USA) and used as a control. Transfection of siRNAs to SW872 cells was carried out using Lipofectamine® RNAiMAX Reagent (Life Technologies, Waltham, MA, USA) as described [68,72,74,75,76,77,78,79,80]. Cells were transfected with 5 pmol siRNA per 24-well culture dish (4.0 × 105 cells/mL in 24-well plates).

4.6. Data Analysis

Results are expressed as mean ± SE. The data obtained were checked against Shapiro-Wilk normality test, which found that all the P values were larger than 0.05, and the statistical significance was determined by Student’s t-test using GraphPad Prism ver. 6.0 for Mac OSX software (GraphPad Software, La Jolla, CA, USA).
  85 in total

1.  Up-regulation of POMC and CART mRNAs by intermittent hypoxia via GATA transcription factors in human neuronal cells.

Authors:  Ryogo Shobatake; Ken Takasawa; Hiroyo Ota; Asako Itaya-Hironaka; Akiyo Yamauchi; Sumiyo Sakuramoto-Tsuchida; Tomoko Uchiyama; Mai Makino; Kazuma Sugie; Shin Takasawa; Satoshi Ueno
Journal:  Int J Biochem Cell Biol       Date:  2017-12-21       Impact factor: 5.085

2.  Clinical significance of serum sRAGE and esRAGE in women with normal pregnancy and preeclampsia.

Authors:  Jae-Hyun Kwon; Young-Han Kim; Ja-Young Kwon; Yong-Won Park
Journal:  J Perinat Med       Date:  2011-07-18       Impact factor: 1.901

3.  Body fat distribution before pregnancy and gestational diabetes: findings from coronary artery risk development in young adults (CARDIA) study.

Authors:  S Zhang; A R Folsom; J M Flack; K Liu
Journal:  BMJ       Date:  1995-10-28

4.  Co-operative functions between nuclear factors NFkappaB and CCAT/enhancer-binding protein-beta (C/EBP-beta) regulate the IL-6 promoter in autocrine human prostate cancer cells.

Authors:  Weihua Xiao; David R Hodge; Lihua Wang; Xiaoyi Yang; Xiaohu Zhang; William L Farrar
Journal:  Prostate       Date:  2004-12-01       Impact factor: 4.104

Review 5.  Vascular dysfunction in preeclampsia.

Authors:  Lesley J Brennan; Jude S Morton; Sandra T Davidge
Journal:  Microcirculation       Date:  2014-01       Impact factor: 2.628

Review 6.  Epidemiology of hypertensive disorders in pregnancy: prevalence, risk factors, predictors and prognosis.

Authors:  Mitsumasa Umesawa; Gen Kobashi
Journal:  Hypertens Res       Date:  2016-09-29       Impact factor: 3.872

Review 7.  Hypertensive disorders during pregnancy and risk of type 2 diabetes in later life: a systematic review and meta-analysis.

Authors:  Zengfang Wang; Zengyan Wang; Luang Wang; Mingyue Qiu; Yangang Wang; Xu Hou; Zhong Guo; Bin Wang
Journal:  Endocrine       Date:  2016-08-12       Impact factor: 3.633

8.  Additive effects of microRNAs and transcription factors on CCL2 production in human white adipose tissue.

Authors:  Agné Kulyté; Yasmina Belarbi; Silvia Lorente-Cebrián; Clara Bambace; Erik Arner; Carsten O Daub; Per Hedén; Mikael Rydén; Niklas Mejhert; Peter Arner
Journal:  Diabetes       Date:  2013-12-30       Impact factor: 9.461

9.  Soluble HMGB1 is a novel adipokine stimulating IL-6 secretion through RAGE receptor in SW872 preadipocyte cell line: contribution to chronic inflammation in fat tissue.

Authors:  Brice Nativel; Mery Marimoutou; Vincent G Thon-Hon; Manoj Kumar Gunasekaran; Jessica Andries; Giovédie Stanislas; Cynthia Planesse; Christine Robert Da Silva; Maya Césari; Thomas Iwema; Philippe Gasque; Wildriss Viranaicken
Journal:  PLoS One       Date:  2013-09-20       Impact factor: 3.240

Review 10.  The Role of AGE/RAGE Signaling in Diabetes-Mediated Vascular Calcification.

Authors:  Amber M Kay; C LaShan Simpson; James A Stewart
Journal:  J Diabetes Res       Date:  2016-07-28       Impact factor: 4.011

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  10 in total

1.  Endogenous Adenosine 5'-Monophosphate, But Not Acetylcholine or Histamine, is Associated with Asthma Control, Quality of Life, and Exacerbations.

Authors:  Xue Mei Fang; Ying Liu; Ji Wang; Xin Zhang; Lei Wang; Li Zhang; Hong Ping Zhang; Lei Liu; Dan Huang; Dan Liu; Ke Deng; Feng Ming Luo; Hua Jing Wan; Wei Min Li; Gang Wang; Brian G Oliver
Journal:  Lung       Date:  2022-09-26       Impact factor: 3.777

2.  Intermittent Hypoxia Increased the Expression of DBH and PNMT in Neuroblastoma Cells via MicroRNA-375-Mediated Mechanism.

Authors:  Shin Takasawa; Ryogo Shobatake; Yoshinori Takeda; Tomoko Uchiyama; Akiyo Yamauchi; Mai Makino; Sumiyo Sakuramoto-Tsuchida; Keito Asai; Hiroyo Ota; Asako Itaya-Hironaka
Journal:  Int J Mol Sci       Date:  2022-05-24       Impact factor: 6.208

Review 3.  RAGE against the Machine: Can Increasing Our Understanding of RAGE Help Us to Battle SARS-CoV-2 Infection in Pregnancy?

Authors:  Courtney K Kurashima; Po'okela K Ng; Claire E Kendal-Wright
Journal:  Int J Mol Sci       Date:  2022-06-07       Impact factor: 6.208

4.  IJMS Special Issue "Molecular and Cellular Mechanisms of Preeclampsia"-Editorial.

Authors:  Berthold Huppertz
Journal:  Int J Mol Sci       Date:  2020-07-07       Impact factor: 5.923

Review 5.  Effects of Intermittent Hypoxia on Cytokine Expression Involved in Insulin Resistance.

Authors:  Tomoko Uchiyama; Hiroyo Ota; Chiho Ohbayashi; Shin Takasawa
Journal:  Int J Mol Sci       Date:  2021-11-29       Impact factor: 5.923

6.  Diclofenac-Induced Cytotoxicity in Direct and Indirect Co-Culture of HepG2 Cells with Differentiated THP-1 Cells.

Authors:  Atsushi Kawase; Ouka Takashima; Satsuki Tanaka; Hiroaki Shimada; Masahiro Iwaki
Journal:  Int J Mol Sci       Date:  2022-08-04       Impact factor: 6.208

7.  Upregulation of REG IV gene in human intestinal epithelial cells by lipopolysaccharide via downregulation of microRNA-24.

Authors:  Shin Takasawa; Chikatsugu Tsuchida; Sumiyo Sakuramoto-Tsuchida; Tomoko Uchiyama; Mai Makino; Akiyo Yamauchi; Asako Itaya-Hironaka
Journal:  J Cell Mol Med       Date:  2022-08-09       Impact factor: 5.295

Review 8.  High-mobility group box 1 is a driver of inflammation throughout pregnancy.

Authors:  Chelsea A Saito Reis; Justin G Padron; Nainoa D Norman Ing; Claire E Kendal-Wright
Journal:  Am J Reprod Immunol       Date:  2020-09-17       Impact factor: 3.886

Review 9.  Mechanisms of Endothelial Dysfunction in Pre-eclampsia and Gestational Diabetes Mellitus: Windows Into Future Cardiometabolic Health?

Authors:  Colm J McElwain; Eszter Tuboly; Fergus P McCarthy; Cathal M McCarthy
Journal:  Front Endocrinol (Lausanne)       Date:  2020-09-11       Impact factor: 5.555

Review 10.  Adipose tissue function in healthy pregnancy, gestational diabetes mellitus and pre-eclampsia.

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  10 in total

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