Apelin-13 serum levels in type 2 diabetic obese women: possible relations with microRNAs-107 and 375
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Mohammad Reza Ashoori
, Mohammad Rahmati-Yamchi , Alireza Ostadrahimi , Reza Pahlavan-Gharebaba , Majid Mobasseri , Salar Bakhtiyari and Nosratollah Zarghami
Abstract
Objective
Apelin, an adipocytokine, is up-regulated by insulin and suppresses pancreatic insulin secretion. One of the key microRNAs in insulin resistance caused by obesity, is microRNA-107. MicroRNA-375 is expressed in the pancreatic islet cells. We aimed to explore apelin-13 and microRNA-107 and 375 in obese women with type 2 diabetes (T2D).
Materials and Methods
Fifty obese women with newly diagnosed T2D and 50 non-diabetic obese women, as controls, were selected. Quantitative PCR and ELISA were used to measure the expression of microRNA-107 and 375 and Apelin-13 concentration, respectively. The role of apelin-13 was investigated in an in vitro model. Apoptosis was evaluated by flow cytometry.
Results
Apelin-13 levels in diabetics were significantly more than controls (p=0.012). The expressions of microRNA-107 and 375 of diabetic group were increased, in comparison to the control group. There was no correlation between apelin-13 and microRNA-107 and 375 in diabetic and control groups. Significant correlations between apelin-13 and serotonin (p<0.001) and estimated average glucose (p<0.02) and insulin (p<0.03) were only observed in the diabetic group.
Conclusion
Serum levels of apelin-13 and circulating microRNA-107 and 375 could be used as biomarkers for diabetes, particularly in obese subjects. However, more study is needed in this field.
Öz
Amaç
Apelin, bir adipositozin, insülin tarafından düzenlenir ve pankreatik insülin sekresyonunu baskılamaktadır. Obezitenin neden olduğu insülin direncindeki anahtar mikroRNA’lardan biri, mikroRNA-107’dir. MikroRNA-375, pankreatik adacık hücrelerinde eksprese edilir. Tip 2 diyabetli (T2D) obez kadınlarda apelin-13 ve microRNA-107 ve 375’i araştırmayı amaçladık.
Gereç ve Yöntem
Kontrol grubu olarak yeni tanı konmuş T2D ve 50 diyabetik olmayan obez kadın 50 obez kadın seçildi. Sırasıyla mikroRNA-107 ve 375 ve Apelin-13 konsantrasyonunun ifadesini ölçmek için kantitatif PCR ve ELISA kullanılmıştır. Apelin-13’ün rolü in vitro bir modelde araştırıldı. Apoptoz, akış sitometrisi ile değerlendirildi.
Bulgular
Diyabetiklerde apelin-13 düzeyleri kontrollerden anlamlı derecede fazla idi (p=0,012). Kontrol grubuna kıyasla, mikroRNA-107 ve 375 diyabet grubunun ifadeleri artırıldı. Diyabetik ve kontrol gruplarında apelin-13 ve microRNA-107 ve 375 arasında korelasyon yoktu. Apelin-13 ve serotonin (p<0,001) ile tahmini ortalama glukoz (p<0,02) ve insülin (p<0,03) arasındaki anlamlı korelasyonlar sadece diyabet grubunda gözlenmiştir.
Sonuç
Özellikle obez olgularda serum apelin-13 ve dolaşan mikroRNA-107 ve 375 seviyeleri diyabet için biyobelirteç olarak kullanılabilir. Bununla birlikte, bu alanda daha fazla çalışmaya ihtiyaç vardır.
Introduction
In today’s world, one of the persistent metabolic problems is diabetes mellitus (DM), errors in production, secretion, and function of insulin are proven as the main causes of DM [1]. The most prevalent type of diabetes is T2D, which is interrelated to insulin resistance. The World Health Organization (WHO) reported that in 2014, some 422 million adults were living with diabetes. By 2030, it is likely that 522 million people will be affected. It expresses the increase in risk factors related to diabetes, such as obesity and overweight [2].
In poor and slightly wealthy countries the incidence rate of diabetes has increased in comparison to wealthy countries. The most crucial elements in the growth of T2D are overweight and obesity [3], [4], [5]. Adipose tissue synthesizes and secretes adipocytokines in obese people and increase or decrease in these factors levels interfere with the induction of insulin resistance [6], [7], [8]. For example, adiponectin has an important metabolic effect [9] and leptin has a substantial function in pathogenesis of obesity and T2D [10]. Apelin is one of the newest recognized adipocytokines. It is a peptide containing 36 amino acids [11]. Apelin has in several isoforms. Its isoforms have 13, 16 and 17 amino acids, and the C-terminal end have the same type in all of them [12]. Glucose metabolism, fluid homeostasis and other critical physiological functions are the roles of apelin [12]. Apelin members apply their roles by stimulating the G protein-coupled receptor, APJ [13]. In the apelin family, apelin-13 is the most effective component of the group [14], [15]. Apelin-13 plays a crucial function in the happening of osteoporosis in patients with T2D [16]. We have already discussed about apelin and its functions previously [17]. Adipose tissues, in addition to adipocytokines, also synthesizes small noncoding RNAs (microRNAs). They have 18–25 nucleotides. Other tissues, including the pancreas, also synthesize these small molecules [18]. These molecular components take part in the regulation of gene expression of prokaryotes and eukaryotes. For example, miR-375, a highly islet-specific microRNA (miRNA), induces the reduction of glucose-stimulated insulin levels in the body. MicroRNAs are entailed in the pathological processes of diabetes mellitus. They can be considered as targets for curative interferences. Therefore, we aimed at assessing the serum levels of apelin-13 and gene expression levels of microRNA-107 and microRNA-375 in obese women with T2D.
Materials and methods
Subjects
In this study, among the individuals referred to Massoud medical laboratory in Tehran, Iran. Fifty obese women with newly diagnosed T2D, without any medication, and fifty non-diabetic obese women, as control group, were selected. Exclusion criteria in the present study were obese women with T2D who were treated with medication, women with type 1 diabetes mellitus, hormonal disorders, infectious malady and other diseases that might affect the test results. Inclusion criterion: obese women with newly diagnosed T2D, without taking any medicine. In this work, obesity was determined based on WHO criteria. In adults, obesity is characterized as a body mass index (BMI) ≥30 kg/m2. Control group were only obese people and had not any diseases. Diagnostic criteria for T2D, was performed according to WHO standards for symptomatic diabetes mellitus [fasting blood glucose (FBG) ≥126 mg/dL and hemoglobin A1c ≥6.5%]. Protocol of the study was accepted by the Ethics Board of Medical Faculty of Tabriz University of Medical Sciences, on December 8, 2014, with Code number: IR.TBZMED.REC.1393.225. It was based on the Helsinki Declaration. All subjects delivered informed consent before the sampling.
Subject’s information and biochemical measurements
For all subjects, age, height, and weight were recorded and BMI (kg/m2) was also calculated. After 12 h overnight fasting, blood specimens were taken from diabetic and control groups. Specimens were centrifuged and sera aliquoted and reserved at –80°C until assays were FBG was evaluated by enzymatic method (Parsazmun, Karaj, Iran). Determination of glycated hemoglobin or hemoglobin A1c (HbA1c) levels performed by high-performance liquid chromatography (HPLC; DS5 Pink Reagent kit; Drew Scientific, Miami Lakes, FL, USA). The value of estimated average glucose (eAG) was also calculated [19]. High-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), serum total cholesterol and triglyceride (TG) levels were measured by direct enzymatic procedures (Parsazmun, Karaj, Iran). Apelin-13 levels were assessed with commercial human ELISA kit (Korain Biotech Company, Shanghai TECH, China), with sensitivity 0.27 ng/L and a within (intra) and between (inter) assay coefficient of variation (CV) of 8% and 10%, respectively. Insulin (with an intra- and inter-assay CV of 5.1–8.3% and 7.2–11.3%, respectively), estradiol or E2 (with an intra- and inter-assay CV of 7.5–9.9% and 4.8–8.2%, respectively) and progesterone (with an intra- and inter-assay CV of 6.1–15.3% and 6.4–8.9%, respectively) levels were measured by ELISA (Monobind Inc. Lake Forest, CA, USA). Serotonin (with an intra- and inter-assay CV of 4.2–11% and 12.7–16.2%, respectively) levels were measured by ELISA (Abcam Inc., Cambridge, MA, USA).
eAG values were reported along with HbA1c, including the fact that it can be considered as a potential factor in T2D follow up. eAG values for each group were calculated according to the following formula:
Quantitative real-time PCR
The expression levels of hsa-miR-107 (target sequence 5′-AGCAGCAUUGUACAGGGCUAUCA-3′) and hsa-miR-375 (target sequence 5′-UUUGUUCGUUCGGCUCGCGUGA-3′) in serum of diabetic and control subjects were measured by real-time PCR (qPCR). The primers (1 pg), miRCURY LNA™ Universal RT microRNA PCR, LNA™ primers set, were purchased (Exiqon, Denmark) in a ready-designed form to detection of target microRNA. Total microRNA was extracted utilizing exiqon miRCURY RNA extraction kit-biofluids (Exiqon, Denmark), following the recommended protocol. Concentration and purity of the extracted RNA was evaluated by NanoDrop 1000 spectrophotometer V3.7 (Thermo Fisher Scientific, Waltham, MA, USA). cDNA was prepared utilizing LNA universal RT miRNA PCR kit (Exiqon, Vedbæk, Denmark), as specified by the manufacturer. The reverse transcriptase reaction was performed by incubations at 42°C for 60 min, 95°C for 5 min and then immediate cooling at 4°C using an Eppendorf thermal cycler (Hamburg, Germany). Five microlitre from synthesized cDNA (20 ng), was diluted with 395 μL nuclease free water. Quantification of microRNAs was performed using SYBR Green master mix with LNA-based miRNA primers (Exiqon, Vedbæk, Denmark). For real-time PCR, the reaction mixture consisted of 5 μL PCR master mix, 1 μL primer mix and various volumes of diluted cDNA sample was performed by incubating at 95°C for 10 min followed by 45 cycles at 95°C for 10 s and 63°C for 1 min, ramp rate 1.6°C/s; followed by a melting at 60–95°C using the mic real-time PCR instrument (Bio Molecular Systems, Upper Coomera, Australia). miRNA U6 was served as the endogenous reference. The reactions were performed in triplicate. In order to optimizing and verifying the specificity of amplified target genes, we performed a real-time-PCR amplification of serially diluted cDNA (in triplicate) and then we assayed amplification curves and melting curves.
Cell culture
CRI-D2 cell lines, with C187 NCBI code, were purchased Pasteur Institute (Tehran, Iran). CRI-D2 is derived from the islands of Langerhans of a NEDH rat transplantable islet cell tumor. Cells secrete insulin and glucagon. Cells were cultivated in RPMI-1640 medium (Gibco, Invitrogen), accompanied with 10% fetal bovine serum (FBS) and preserved in 5% of CO2 at 37°C. After five times passage, the cells were seeded in six-well culture plates. Our groups were including untreated, as control, and six groups treated with 50 nmol/L and 100 nmol/L apelin-13 trifluoroacetate salt (Sigma, , St. Louis, MO, USA) in different hours (24, 48, and 72 h). Expression of miR-107, miR-375 and miRNA U6 were assayed, as mentioned in qPCR section. Insulin levels in cells media were determined with commercial rat ELISA kit, with an intra- and inter-assay precision CV ≤10.0% (Crystal Chem Incorporated, Downers Grove, IL, USA).
Flow cytometry analysis for cell apoptosis
To study apoptosis in the CRI-D2 cell line, flow cytometry analysis was performed. After incubation of control and apelin-13-treated groups for 24, 48 and 72 h, the cells were prepared for flow cytometry analysis using the ApoFlowEx FITC Kit (EXBIO Praha, Czech Republic), following the manufacturer’s recommended procedure for flow cytometer analysis (BD FACSCalibur, USA).
Statistical analysis
Statistical analysis was accomplished utilizing SPSS.16 (IBM, USA) software. The outcomes were shown as mean±SD. The expression levels of miRNAs were computed by utilizing the ΔCt method. All of the data had normal distribution; statistical analysis was done by student-t test. The Pearson correlation test was used to analyze the relationships between variables, a two-tailed p-value of <0.05 and <0.01 were accepted as statistically significant. For statistical analysis of microRNAs expression levels and insulin concentrations in cell culture, we used one-way ANOVA. After one-way ANOVA test, tukey post hoc was used. In all analyzes, a p-value less than 0.05 characterized the presence of a statistically substantial difference.
Results
Distribution of the general and the metabolic characteristics
We studied the general and the metabolic variables in diabetic and non-diabetic individuals. All of the parameters, with the exception of HDL-C (p-value=0.22), weight (p-value=0.1) and height (p-value=0.3) were considerable in the mentioned subjects (Table 1).
Comparison between the distribution of anthropometric and metabolic variables in diabetic and control groups.
| Parameters | Diabetic group (n=50) | Control group (n=50) | p-Value |
|---|---|---|---|
| Age (year) | 62.38±8.9 | 55.25±12.3 | 0.05 |
| Fasting blood glucose (mg/dL) | 142.55±22.1 | 89.32±5.9 | <0.001 |
| Triglyceride (mg/dL) | 178.90±50.1 | 127.72±47.9 | <0.001 |
| Total cholesterol (mg/dL) | 170.10±34.9 | 199.9±33.8 | <0.001 |
| LDL-C (mg/dL) | 98.78±27.5 | 128.62±31.7 | <0.001 |
| HDL-C (mg/dL) | 48.10±11.0 | 50.98±9.7 | 0.22 |
| HbA1c (%) | 6.6±0.9 | 4.04±0.4 | <0.001 |
| eAG (mg/dL) | 136.77±20.8 | 69.24±13.3 | <0.001 |
| Weight (kg) | 83.55±4.5 | 85.80±5.4 | 0.14 |
| Height (cm) | 161.80±4.6 | 168.65±5.1 | 0.37 |
| BMI (Kg/m2) | 31.94±1.8 | 30.14±0.9 | 0.01 |
| Apelin-13 (ng/L) | 17.04±2.3 | 15.48±3.3 | 0.012 |
| Estradiol (pg/mL) | 66.5±23.4 | 32.5±5.1 | <0.001 |
| Progesterone (ng/mL) | 0.55±0.3 | 0.27±0.1 | <0.001 |
| Serotonin (ng/mL) | 290.8±34 | 138.2±13.4 | <0.001 |
| Insulin (μIu/mL) | 13.8±1.7 | 5.05±0.7 | <0.001 |
| HOMA-IR | 4.4±0.7 | 1.2±0.1 | <0.001 |
LDL-C, Low density Lipoprotein-Cholesterol; HDL-C, High density Lipoprotein-Cholesterol; HbA1c, hemoglobin A1c; eAG, Estimated average glucose; BMI, Body Mass Index; HOMA-IR, Homeostatic model assessment of insulin resistance. Results are expressed as the mean±SD.
Comparison and correlation between the Apelin-13 and insulin, estradiol, progesterone, and serotonin in groups
We assayed insulin, estradiol, progesterone, serotonin, and Apelin-13 in the diabetic and non-diabetic groups. Significant results were observed in the levels of insulin, estradiol, progesterone, serotonin (p<0.001) and apelin-13 (p=0.012) in the diabetic group compared with control group (Table 1). The homeostatic model assessment of insulin resistance (HOMA-IR) was utilized to evaluating of insulin sensitivity. Because our study groups were female obese subjects and in menopausal status, we measured sexual hormones (estradiol and progesterone). There was no correlation between apelin-13 and miRs (miR-107 and miR-375) in two groups. There was a very weak negative correlation between Apelin-13 and FBG, TG, HA1c and BMI. Correlation between apelin-13 and HOMA-IR was very weak positive. In the diabetic group, correlation between apelin-13 and serotonin (p<0.001), eAG (p<0.02) and insulin (p<0.03) statistically was significant (Table 2). There is no correlation between apelin and the above-mentioned parameters in the control group.
Correlation between different variables and apelin-13 in diabetic group.
| Parameters | Correlation coefficient | p-Value |
|---|---|---|
| Fasting blood glucose (mg/dL) | –0.01 | 0.94 |
| Triglyceride (mg/dL) | –0.26 | 0.1 |
| HbA1c (%) | –0.3 | 0.06 |
| eAG (mg/dL) | –0.35 | 0.02a |
| BMI (Kg/m2) | –0.24 | 0.14 |
| Serotonin (ng/mL) | 0.64 | <0.001b |
| Insulin (μIu/mL) | 0.33 | 0.03a |
| HOMA-IR | 0.26 | 0.01 |
HbA1c, hemoglobin A1c; eAG, estimated Average Glucose; BMI, Body Mass Index; HOMA-IR, Homeostatic model assessment of insulin resistance.
aCorrelation is significance at the 0.05 level.
bCorrelation is significance at the 0.01 level.
High expression of miR-107 and miR-375 in diabetic subjects
The levels of circulating miR-107 and miR-375 were determined in the sera samples of diabetic and non-diabetic subjects. Results showed that the expression levels in both miRs in diabetic group were significantly greater versus non-diabetic group (p-value=0.02). Fold changes in the levels of miR-107 and miR-375 were calculated with ΔCt method using U6 as internal reference miRNA. The fold change value of these microRNAs has been shown as mean value. The mean value of samples for non-diabetic group aligned to a value of 1.0 and the all diabetic sample values were declared concerning this aligned mean value. (Figure 1A and B).

(A and B) microRNA-107 (left) and microRNA-375 (right) fold changes by quantitative PCR (qPCR) analysis in serum of diabetic and control groups.
The fold change value for each miRNA is expressed by mean value. For diabetic group, data is shown as mean±SD. For control group data is shown as mean. *Significance versus control group. p<0.05.
Insulin and microRNAs expression in cultured CRI-D2 cell lines
In this work, we applied the insulinoma cell line (CRI-D2) as a pure beta cells source, while islets are a complex of different cells which secrete different hormones. This cell line cultured in six-well culture plates, as previously was explained, thereafter, they were treated with apelin-13 to determine insulin levels and microRNAs expression in response to apelin-13 stimulation. Our data demonstrated that apelin-13 has no significant effect on levels of insulin (in hours and different concentrations of incubation with apelin-13) (Figure 2). Our data showed a high expression of miR-107 (p<0.05) in six groups and miR-375 (p<0.05 and <0.001) (Figure 3A and B, respectively).

Levels of insulin in medium of CRI-D2 cell culture treated with apelin-13 trifluoroacetate salt.
Data are shown as mean±SD.

(A and B) Relative expression miR-107 (left) and miR-375 (right) in medium of CRI-D2 cell culture treated with apelin-13 trifluoroacetate salt.
Data are shown as mean±SD. *Significance versus control group. p<0.05, **significance versus other groups and control group. p<0.001.
Apelin-13 has no effect on CRI-D2 cell line apoptosis
After the incubation of CRI-D2 cell line in hours and different concentrations of apelin-13, apoptosis (by flow cytometry technique) was assayed. Our data showed apelin-13 has no effect on apoptosis and thereupon, cell death (Figure 4).

Flow cytometry assay data, cells were treated with 0, 50, and 100 nM of apelin-13 in different hours (24, 48, and 72 h).
Quadrants represents, Q3: viable cells, Q4: apoptotic cells, and Q2: late apoptotic or necrotic cells (according to the kits instructions). It was not observed any apoptosis in the groups.
Discussion
In this research, our aim was to assess the serum apelin-13 and the circulating miR-107 and miR-375 in obese women with T2D. In this work, apelin-13 as the main occurring apelin isozyme in human serum was assayed. Apelin exists in various isoforms from 12 to 36 residues [12]. The outcomes of this research indicated that the apelin-13 serum concentrations of type 2 diabetic patients were significantly more eminent than the control individuals. In agreement with previous finding, [15] we found an increase in apelin-13 concentration in type 2 diabetic subjects. It was observed that apelin concentrations in plasma of newly diagnosed type 2 diabetic patients were lower than in controls [20], [21]. The relevance between apelin and various diseases has been reported by several studies. In a study by Habchi et al. circulating apelin was observed in T2D patients and T1D patients [22]. However, there are few studies about apelin-13 and its connection with type 2 diabetes. Here we studied apelin-13 and analyzed its relationship with some of the parameters. There was a negative correlation between apelin-13 and FBG, triglyceride, HbA1c, eAG and BMI in T2D patients. The negative correlation with HbA1c and eAG could suggest that apelin acts on glycemic balance and even insulin sensitivity. In our study, a negative correlation was found between the levels of apelin-13 and BMI. This finding indicates that obesity is not the principal determinative of serum apelin-13 levels in T2D patients. On the other hand, we observed a positive correlation between apelin-13 and insulin, HOMA-IR and serotonin. Correlation between apelin-13 and serotonin was statistically significant in the diabetic subjects. Crane et al. found that reducing obesity and metabolic malfunction can be achieved by inhibiting the synthesis of peripheral serotonin. Sex hormones may modulate peripheral serotonin production [23]. Obesity was identified as a disease in 2013 [24]. In women, obesity plays a significant role in the expression of estrogen receptor genes [25]. In our study, the serum levels of serotonin were increased in obese women with T2D group. The suppression of synthesized serotonin from tryptophan hydroxylase 1 (Tph 1) may be pivotal in reducing obesity and its clinical consequences (e.g. nonalcoholic fatty liver disease and T2D) [23].
Relationships between apelin and insulin resistance that is a principal feature of obesity and T2D, have been shown by various studies. Erdem et al. found a negative correlation between apelin levels and HOMA-IR in newly diagnosed T2D subjects [20]. In contrast, Li et al. reported a positive correlation between fasting plasma apelin levels and HOMA-IR in patients with T2D [26]. As mentioned above, we found a positive correlation between apelin-13 and HOMA-IR. HOMA-IR increases in T2D patients. It is an appropriate and beneficial procedure for assessing insulin sensitivity.
It has been shown that plasma apelin levels raised noticeably in insulin resistance [27]. Correlation between apelin-13 and insulin was statistically significant and positive. Boucher et al. found that apelin synthesis is induced by insulin [28]. Improvement of insulin sensitivity by apelin was observed in obese mice with insulin-resistance [29], [30]. It can indicate that high levels of apelin in adipose tissue is associated with increased insulin sensitivity. Our in vitro study, apelin-13 increased the insulin concentration in CRI-D2 cell culture, this increase was not significant. In contrast, Guo et al. found that apelin-13 suppresses insulin secretion in pancreatic β-cells (rat insulinoma INS-1 cells) by trigger of PI3-kinase-phosphodiestrase 3B [31]. Yue et al. found that apelin-13 is essential for the sustainment of insulin sensitivity [30]. In present study, it was not observed apoptosis induction in CRI-D2 cells by apelin-13. There was no report regarding apelin-13 and its role in apoptosis of insulinoma cell lines to compare with our findings.
Our findings showed that the circulating miR-375 and miR-107 levels considerably to be raised in serum of T2D patients and may be novel biomarkers for T2D. Kong et al. found an increase of miR-375 in serum of pre-diabetes and newly diagnosed T2D subjects [32]. miR-375 is considerably described as a pancreatic islet-particular miRNA [33]. In our review paper, it has been discussed about microRNAs and their roles in diabetes and its complications [34]. miR-375 regulates insulin discharge [35]. One study on Zucker diabetic fatty rats disclosed an ongoing elevation of circulating miR-375 levels [36]. Here, the expression of miR-375 in cell line treated with apelin-13 has increased, with unknown cause. Xu et al. found an increase in miR-107 and estradiol levels in serum of 30 T2D patients. They also observed a positive correlation between miR-107 and HOMA-IR, triglyceride, BMI and HbA1c in T2D subjects [37]. We did not observe any correlation between miR-107 and 375 with biochemical and anthropometric parameters. One of the members of the microRNAs is miR-107, it is extremely expressed in obese individuals, subjects with T2D, and subjects with breast cancer [37]. We found an increase in triglyceride and a reduction in LDL-C, total cholesterol and HDL-C in diabetic subjects compared with control subjects. These results, except for cholesterol, were in agreement with Cui et al. [38]. Dyslipidemia and obesity are closely associated with T2D [38]. A previous research deduced that insulin-resistant patients and T2D possess hypertriglyceridemia and reduced HDL levels [39]. In T2D, especially when glycemic control is inadequate in patients who are comparatively insulin deficient, lipoprotein lipase action has diminished [40]. Sample size can be considered as a limitation of our study.
Conclusion
In summary, we found an increase of apelin-13, serotonin, estradiol, and progesterone in the diabetic group versus the non-diabetic group; it shows that apelin-13 can play a role in progressing T2D in obese people. MiR-107 and miR-375 expression was high in the circulation of T2D patients. Serotonin and sex steroid hormones can interfere in obesity and it can lead to T2D and its complications. In vitro study showed that apelin-13 can stimulate microRNAs expression in insulinoma cell line. Apelin-13 and microRNAs can be employed as curative agents in the management of T2D in the future.
Acknowledgments
The authors of this article appreciate the Nutrition Research Center, Tabriz University of Medical Sciences for monetary aid. We thank Biochemistry and Clinical Laboratories department members (especially, Mr. Shaker) and MSc student, Mr. Pirpour for their contributions to the present study.
Conflict to interest: Authors have no conflict of interest regarding this study.
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©2019 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Review Article
- Does vitamin D prevent radiotherapy-induced toxicity?
- Research Articles
- Compliance of medical biochemistry education in medical schools with national core education program 2014
- The importance of parathormone in determining the deficiency of vitamin D
- Association between serum vitamin D level and liver MRI T2 star in patients with β-thalassemia major
- Role of O-GlcNAcylation and endoplasmic reticulum stress on obesity and insulin resistance
- Effects of cellular energy homeostasis modulation through AMPK on regulation of protein translation and response to hypoxia
- Perceived barriers to diabetes management at home: a qualitative study
- The effect of automated hemolysis index measurement on sample and test rejection rates
- Identification of immune-related genes in thymus of breast cancer mouse model exposed to different calorie restriction
- Effect of xylitol on gut microbiota in an in vitro colonic simulation
- Fibrinopeptide-A and fibrinopeptide-B may help to D-dimer as early diagnosis markers for acute mesenteric ischemia
- Plasma homocysteine and aminothiol levels in idiopathic epilepsy patients receiving antiepileptic drugs
- Apelin-13 serum levels in type 2 diabetic obese women: possible relations with microRNAs-107 and 375
- An evaluation of biomarkers indicating endothelial cell damage, inflammation and coagulation in children with Henoch-Schönlein purpura
- Enteroprotective effect of Tsukamurella inchonensis on streptozotocin induced type 1 diabetic rats
- The in vitro cytotoxicity, genotoxicity and oxidative damage potential of dapagliflozin, on cultured human blood cells
- Investigation and isolation of peptide based antiglycating agents from various sources
- Effect of skin-to-skin contact on the placental separation time, mother’s oxytocin and pain levels: randomized controlled trial
- The protective role of oleuropein against diethylnitrosamine and phenobarbital induced damage in rats
- Letter to the Editor
- ICD code specific reference ranges
Articles in the same Issue
- Frontmatter
- Review Article
- Does vitamin D prevent radiotherapy-induced toxicity?
- Research Articles
- Compliance of medical biochemistry education in medical schools with national core education program 2014
- The importance of parathormone in determining the deficiency of vitamin D
- Association between serum vitamin D level and liver MRI T2 star in patients with β-thalassemia major
- Role of O-GlcNAcylation and endoplasmic reticulum stress on obesity and insulin resistance
- Effects of cellular energy homeostasis modulation through AMPK on regulation of protein translation and response to hypoxia
- Perceived barriers to diabetes management at home: a qualitative study
- The effect of automated hemolysis index measurement on sample and test rejection rates
- Identification of immune-related genes in thymus of breast cancer mouse model exposed to different calorie restriction
- Effect of xylitol on gut microbiota in an in vitro colonic simulation
- Fibrinopeptide-A and fibrinopeptide-B may help to D-dimer as early diagnosis markers for acute mesenteric ischemia
- Plasma homocysteine and aminothiol levels in idiopathic epilepsy patients receiving antiepileptic drugs
- Apelin-13 serum levels in type 2 diabetic obese women: possible relations with microRNAs-107 and 375
- An evaluation of biomarkers indicating endothelial cell damage, inflammation and coagulation in children with Henoch-Schönlein purpura
- Enteroprotective effect of Tsukamurella inchonensis on streptozotocin induced type 1 diabetic rats
- The in vitro cytotoxicity, genotoxicity and oxidative damage potential of dapagliflozin, on cultured human blood cells
- Investigation and isolation of peptide based antiglycating agents from various sources
- Effect of skin-to-skin contact on the placental separation time, mother’s oxytocin and pain levels: randomized controlled trial
- The protective role of oleuropein against diethylnitrosamine and phenobarbital induced damage in rats
- Letter to the Editor
- ICD code specific reference ranges