Decreased Serum Dickkopf-1 Levels After Hypoglycemic Therapy in Patients with Type 2 Diabetes Mellitus.

Aim: Dickkopf-1 (DKK-1) is a major inhibitor of Wingless protein signaling pathway, which is involved in glucose metabolism and cardiovascular diseases. The aim of the study was to investigate the changes of serum DKK-1 levels after hypoglycemic treatments and the relationship between DKK-1 and clinical parameters. Materials and
Methods: The study was a sub-study of a previously published clinical trial (the effect of Acarbose on glycemic variability in patients with type 2 diabetes mellitus using premixed insulin compared to metformin). All subjects underwent anthropometric and biochemical assessments at baseline and endpoint. Serum DKK-1 levels of 92 subjects were measured at baseline and after 12-week hypoglycemic treatment.
Results: DKK-1 levels were significantly decreased after hypoglycemic treatment for 12 weeks (P < 0.001). ΔDKK-1 levels were not correlated with improvement of metabolic parameters (all P > 0.05) but were negatively correlated with baseline DKK-1 levels (r = -0.263, P = 0.011). Spearman correlation showed that baseline DKK-1 levels were positively related to baseline total cholesterol (r = 0.226, P = 0.030) and low-density lipoprotein cholesterol (LDL-C) (r = 0.277, P = 0.007). Compared with the higher baseline DKK-1 group (≥3700 pg/mL), subjects in the lower baseline DKK-1 group (<3700 pg/mL) had significantly lower baseline glycated hemoglobin A1c levels (P = 0.008) and LDL-C levels (P = 0.048). Systolic and diastolic pressure were decreased more significantly in the lower baseline DKK-1 group than that in the higher baseline DKK-1 group (both P < 0.05).
Conclusion: Serum DKK-1 levels were decreased after hypoglycemic treatments. Patients with lower baseline DKK-1 levels were featured by more favorable cardiometabolic factors.

Introduction

Hyperglycemia is an important risk factor of vascular endothelial dysfunction, leading to macrovascular complications including cardiovascular diseases, which are the main cause of death in patients with diabetes mellitus.1 Wingless protein (Wnt) signaling pathway is involved in endothelial function, vascular smooth muscle cell proliferation, inflammation and glucose metabolism, all closely associated with vascular diseases.2–5 Dickkopf-1 (DKK-1), a member of the Dickkopf family, is a major inhibitor of Wnt signaling pathway.6,7 A study in Caucasian populations found that circulating DKK-1 levels are higher in type 2 diabetes mellitus (T2DM) with cardiovascular disease (CVD) compared with those without CVD and are associated with abnormal carotid intima-media thickness.8 Otherwise, platelet activation has been revealed to play a vital role in the development of atherosclerosis.9,10 A cross-sectional study has shown that circulating DKK-1 levels are elevated in patients with T2DM and are significantly lower in T2DM receiving aspirin treatment, which suggests that DKK-1 is associated with endothelial dysfunction and platelet activation.11 Therefore, DKK-1 might be involved in the development of diabetes and its macrovascular complications, the underlying mechanism of which still need further investigation.

DKK-1 is a secreted protein consisting of two cysteine-rich domains and a signal peptide sequence12,13 and is widely expressed in many cells and tissues, including osteoblasts, osteocytes, skin, endothelium, prostate and placenta.14 Previous studies have revealed that DKK-1 is regulated by a variety of regulatory molecules, such as p53, β-catenin, progesterone and Msh homeobox 1.15,16 Given the close association with these molecules, DKK-1 and its regulation could be therapeutic targets for diseases.

To our knowledge, there are few studies focusing on changes in DKK-1 levels after hypoglycemic intervention in patients with T2DM. In our previously published study, recruited subjects were treated with acarbose or metformin in addition to insulin. The results demonstrated that both metformin and acarbose combined with insulin effectively reduced blood glucose, while acarbose combined with insulin also reduced glycemic variability.17 Song et al18 also found that both acarbose and metformin treatment could improve glycemic and weight control in patients with newly diagnosed T2DM, while acarbose could reduce urinary albumin/creatinine ratio compared to metformin. Acarbose inhibits the activity of alpha-glucosidase in the epithelial cells of the upper brush margin of the small intestine.19 Metformin reduces hepatic glucose production and peripheral insulin resistance and thereby lowers blood glucose.20 In the current study, we conducted a post-hoc analysis of this previous study in patients with T2DM, to explore the changes of serum DKK-1 levels after hypoglycemic treatment and the relationship between DKK-1 levels and clinical parameters.

Materials and Methods

Study Population

The present study is a sub-study of a previously published clinical trial (the effect of acarbose on glycemic variability in patients with type 2 diabetes mellitus using premixed insulin compared to metformin [AIM]).17 Briefly, it was a 12-week, open-label, randomized controlled clinical trial. The previous study was registered at with clinical trial registration number NCT02438397. Subjects were recruited from the outpatient clinic at the Department of Endocrinology of Shanghai Jiao Tong University Affiliated Sixth People’s Hospital from 2016 to 2018. Patients with premixed insulin treatment were enrolled. The inclusion criteria were as follows: (1) diagnosis of T2DM; (2) daily dose of premixed insulin injection higher than 20 IU/d and lower than 1 IU/(kg·day); (3) age from 30 to 70 years; (4) body mass index (BMI) between 18.5 and 35.0 kg/m2; (5) 7.0% ≤ glycated hemoglobin A1c (HbA1c) ≤ 10.0%. The subjects who met the screening requirements were randomly divided into two groups (metformin group or acarbose group). The dose of acarbose was 100 mg three times a day at three meals, and the dose of metformin was 500 mg three times a day after three meals. During the 12-week observation period, premixed insulin dose was adjusted by the same experienced endocrinologist and the subjects maintained their previous lifestyle during the 12-week hypoglycemic intervention.

To explore the relationship between DKK-1 changes and hypoglycemic treatment, patients taking aspirin were excluded in the present study, as DKK-1 levels were lower in T2DM receiving aspirin treatment.11 Patients whose serum samples were not available for DKK-1 testing were also excluded. Finally, a total of 46 patients in the metformin group and 46 in the acarbose group were included in this subgroup.

Informed consent was obtained from all the subjects. The study was approved by the Ethics Committee of Shanghai Jiao Tong University Affiliated Sixth People’s Hospital and was in accordance with the principle of the 1964 Helsinki Declaration.

Anthropometric and Biochemical Measurements

As described previously,17 all subjects underwent anthropometric and biochemical assessments at baseline and after treatment (at 12-week). BMI was calculated as weight in kilograms divided by the square of the height in meters (kg/m2). Standardized meal tests were performed at baseline and the endpoint. Fasting blood samples were collected after an 8-h overnight fast. After that, the patient received standardized meal tests.17 Postprandial blood was collected 2 hours later. Fasting plasma glucose (FPG), 2-h postprandial plasma glucose (PG2h), HbA1c and serum lipid profiles were assayed as previously reported.17 Fasting serum DKK-1 levels were measured at the baseline and endpoint by quantitative sandwich enzyme-linked immunosorbent assays (R&D Systems, Inc. Minneapolis, USA).

Statistical Analyses

The distribution of the variables was tested by Kolmogorov–Smirnov tests. Variables with an approximately normal distribution were presented as means ± standard error (SE), while those with a skewed distribution were shown as median (interquartile range [IQR]). Continuous variables were compared between the two groups by Student’s t-test or analysis of covariance (ANCOVA) adjusting for baseline levels. Within-group differences in the parameters before and after treatment were analyzed by the paired t-test or Wilcoxon test. Skew-distributed variables were tested by the rank sum test. Comparison of categorical variables between groups was performed by the chi-square test. The differences in clinical parameters between 12-week and baseline were shown as Δ. Spearman correlation and partial correlation were used to analyze the correlation between DKK-1 levels and other clinical parameters. The receiver operating characteristic (ROC) curve was generated to analyze the optimal cut-off point of baseline DKK-1 levels for further analysis. The optimal cut-off point was confirmed based on the Youden index. Statistical analyses were performed using SPSS software version 22.0 (SPSS, Inc., Chicago, IL). A P value of <0.05 (two-tailed) was considered statistically significant.

Results

Changes of DKK-1 Levels After Hypoglycemic Treatment

A total of 92 patients were finally included (acarbose [ACA] group, n = 46; metformin [MET] group, n = 46) in the present study. Baseline DKK-1 levels did not differ between the two intervention groups (MET vs ACA, 3865.61 ± 117.30 pg/mL vs 3602.74 ± 122.60 pg/mL, P = 0.125). Serum DKK-1 levels were significantly decreased in both groups after treatment (MET: P = 0.012; ACA: P = 0.010). However, there was no difference in ΔDKK-1 between the two groups (MET vs ACA, −163.90 ± 62.87 pg/mL vs −171.47 ± 63.31 pg/mL, P = 0.933).

Since there were no differences in both baseline DKK-1 levels and post-treatment ΔDKK-1 levels between the MET and ACA groups, we carried out a further analysis in the total population (n = 92). The characteristics of all patients before and after treatment are shown in Table 1. After hypoglycemic treatment, FPG, PG2h, HbA1c, systolic blood pressure (SBP) and BMI were significantly reduced (all P < 0.05). Serum DKK-1 levels were significantly decreased after a 12-week hypoglycemic treatment (baseline vs endpoint, 3734.18 ± 85.49 vs 3566.49 ± 85.32, P < 0.001, Table 1).

Table 1

Clinical Characteristics of the Participants at the Baseline and Endpoint

	Baseline	Endpoint	Changes	P value
Age, years	61.00 (55.00–65.75)	NA	NA	NA
Male, %	60.87	NA	NA	NA
Diabetic Duration, years	13.67 ± 0.69	NA	NA	NA
BMI, kg/m2	25.84 ± 0.28	25.57 ± 0.28	−0.27 ± 0.08	0.001
SBP, mmHg	136.60 ± 1.49	130.91 ± 1.55	−5.68 ± 1.56	< 0.001
DBP, mmHg	80.40 ± 0.81	78.66 ± 0.84	−1.74 ± 0.90	0.057
TC, mmol/L	5.11 ± 0.10	4.98 ± 0.10	−0.13 ± 0.11	0.251
TG, mmol/L	1.50 (0.97–2.20)	1.37 (0.99–2.16)	−0.13 (−0.65–0.39)	0.126
HDL-C, mmol/L	1.20 ± 0.03	1.19 ± 0.04	−0.015 ± 0.02	0.528
LDL-C, mmol/L	3.03 ± 0.09	2.91 ± 0.08	−0.12 ± 0.09	0.189
FPG, mmol/L	10.33 ± 0.27	8.72 ± 0.22	−1.61 ± 0.31	< 0.001
PG2h, mmol/L	19.91 ± 0.37	13.64 ± 0.42	−6.27 ± 0.46	< 0.001
HbA1c, %	8.47 ± 0.08	7.56 ± 0.08	−0.91 ± 0.09	< 0.001
DKK-1, pg/mL	3734.18 ± 85.49	3566.49 ± 85.32	−167.68 ± 44.37	< 0.001

Note: Variables were presented as means ± standard error (SE) or median (IQR).

Abbreviations: SE, standard error; IQR, inter quartile range; BMI, body mass index; SBP, systolic pressure; DBP, diastolic pressure; FPG, fasting plasma glucose; PG2h, 2-hour postprandial plasma glucose; HbA1c, glycated hemoglobin A1c; TC, total cholesterol; TG, triglycerides; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol.

The Relationship Between ΔDKK-1 Levels and Clinical Parameters

However, ΔDKK-1 levels were not correlated with gender, age, diabetes duration, and the improvement of metabolism, including changes of BMI, blood pressure, lipid profiles, plasma glucose and HbA1c (all P > 0.05). Spearman correlation revealed that serum ΔDKK-1 levels were negatively correlated with baseline DKK-1 levels (r = −0.263, P = 0.011). After adjusting for gender, age, diabetes duration, baseline BMI, blood pressure, lipid profiles and HbA1c, multiple stepwise regression analysis revealed that baseline DKK-1 levels were independently related to ΔDKK-1 levels (standardized β = −0.342, P = 0.001).

Since baseline DKK-1 levels were closely related to ΔDKK-1 levels, we further conducted the ROC analysis. The results showed that the optimal cut-off point of baseline DKK-1 levels for assessing the reduction of DKK-1 levels was 3689.27 pg/mL with the sensitivity of 61.29%, specificity of 66.67%, and area under the curve of 0.638 (95% confidence interval: 0.514–0.763) (Figure 1).

Figure 1

Receiver operating characteristic curve for baseline DKK-1 levels.

The Relationship Between Baseline DKK-1 Levels and Clinical Parameters

Spearman correlation analysis showed that baseline DKK-1 levels were not correlated with gender, age, or diabetes duration (all P > 0.05). Baseline DKK-1 levels were positively correlated with baseline total cholesterol (TC) (r = 0.226, P = 0.030) (Figure 2A) and low-density lipoprotein cholesterol (LDL-C) (r = 0.277, P = 0.007) (Figure 2B). Furthermore, baseline DKK-1 levels were positively correlated with ΔSBP (r = 0.250, P = 0.016) (Figure 2C) and ΔDBP (r = 0.240, P = 0.021) (Figure 2D). After adjusting for baseline SBP and DBP, baseline DKK-1 levels were still positively correlated with ΔSBP (r = 0.327, P = 0.002) and ΔDBP (r = 0.325, P = 0.002).

Figure 2

(A) Correlation between baseline DKK-1 levels and baseline TC; (B) correlation between baseline DKK-1 levels and baseline LDL-C; (C) correlation between baseline DKK-1 levels and ΔSBP; (D) correlation between baseline DKK-1 levels and ΔDBP.

Then, subjects were divided into the lower baseline DKK-1 group (DKK-1 <3700 pg/mL, n = 44) and higher baseline DKK-1 group (DKK-1 ≥3700 pg/mL, n = 48). The clinical characteristics of the two groups stratified by baseline DKK-1 levels are shown in Table 2.

Table 2

Clinical Characteristics of the Participants at the Baseline and Endpoint Divided by Baseline DKK-1 Levels

	Baseline DKK-1 Levels < 3700 pg/mL (n = 44)			Baseline DKK-1 Levels ≥ 3700 pg/mL (n = 48)
	Baseline	Endpoint	Changes	Baseline	Endpoint	Changes
Age, years	61.00 (56.00–66.00)	NA	NA	60.00 (51.00–64.00)	NA	NA
Male, %	68.18	NA	NA	54.17	NA	NA
Diabetic Duration, years	14.23 ± 1.00	NA	NA	13.17 ± 0.97	NA	NA
BMI, kg/m2	25.40 ± 0.38	25.06 ± 0.39##	−0.35 ± 0.11	26.24 ± 0.40	26.04 ± 0.40	−0.20 ± 0.12
SBP, mmHg	137.52 ± 2.40	127.73 ± 2.24##	−9.80 ± 2.41	135.75 ± 1.83	133.83 ± 2.08	−1.91 ± 1.87*a
DBP, mmHg	80.27 ± 1.03	76.68 ± 1.15#	−3.59 ± 1.39	80.52 ± 1.24	80.48 ± 1.17	−0.04 ± 1.13*a
TC, mmol/L	4.97 ± 0.15	4.83 ± 0.16	−0.14 ± 0.17	5.23 ± 0.14	5.12 ± 0.14	−0.11 ± 0.14
TG, mmol/L	1.37 (0.82–2.34)	1.23 (0.79–1.73)	−0.12 (−0.59–0.21)	1.65 (1.24–2.05)	1.60 (1.19–2.18)	−0.16 (−0.68–0.57)
HDL-C, mmol/L	1.24 ± 0.04	1.25 ± 0.06	0.01 ± 0.03	1.17 ± 0.04	1.13 ± 0.04	−0.04 ± 0.03
LDL-C, mmol/L	2.86 ± 0.12	2.76 ± 0.12	−0.10 ± 0.13	3.20 ± 0.12*	3.05 ± 0.11	−0.14 ± 0.13
FPG, mmol/L	10.17 ± 0.46	8.68 ± 0.32##	−1.49 ± 0.49	10.47 ± 0.32	8.75 ± 0.30##	−1.72 ± 0.40
PG2h, mmol/L	19.52 ± 0.52	13.51 ± 0.65##	−6.01 ± 0.69	20.28 ± 0.51	13.76 ± 0.55##	−6.52 ± 0.62
HbA1c, %	8.23 ± 0.11	7.61 ± 0.12##	−0.63 ± 0.13	8.68 ± 0.12**	7.52 ± 0.10##	−1.16 ± 0.12

Notes: Variables were presented as means ± standard error (SE) or median (IQR). *P < 0.05 (vs patients with baseline DKK-1 levels <3700 pg/mL). **P < 0.01 (vs patients with baseline DKK-1 levels <3700 pg/mL). #P < 0.05 (vs baseline levels). ##P < 0.01 (vs baseline levels). aThe differences of changes of parameters between Baseline DKK-1 levels < 3700 pg/mL and Baseline DKK-1 levels ≥ 3700 pg/mL group were compared using analysis of covariance adjusting for baseline levels.

Abbreviations: SE, standard error; IQR, interquartile range; BMI, body mass index; SBP, systolic pressure; DBP, diastolic pressure; FPG, fasting plasma glucose; PG2h, 2-hour postprandial plasma glucose; HbA1c, glycated hemoglobin A1c; TC, total cholesterol; TG, triglycerides; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol.

There was no significant difference in DKK-1 levels between baseline and endpoint in the lower baseline DKK-1 group (baseline vs endpoint, 3026.49 ± 65.76 pg/mL vs 2977.40 ± 81.39 pg/mL, P = 0.346) (Figure 3A). However, in the higher baseline DKK-1 group, DKK-1 levels were decreased after treatment (baseline vs endpoint, 4382.89 ± 69.09 pg/mL vs 4106.49 ± 92.12 pg/mL, P < 0.001) (Figure 3A). ΔDKK-1 levels were larger in the higher baseline DKK-1 group as compared with the lower baseline DKK-1 group (−276.39 ± 67.51 pg/mL vs −49.09 ± 51.48 pg/mL, P = 0.010) (Figure 3B).

Figure 3

(A) Comparisons of serum DKK-1 levels at baseline and 12-week follow-up in patients with baseline DKK-1 levels < 3700 pg/mL and ≥ 3700 pg/mL; (B) the distribution of ΔDKK-1 levels in patients with baseline DKK-1 levels < 3700 pg/mL and ≥ 3700 pg/mL.

Compared with the higher baseline DKK-1 group, subjects in the lower baseline DKK-1 group had significantly lower baseline HbA1c levels (P = 0.008) and LDL-C levels (P = 0.048). BMI, SBP and DBP were decreased significantly in the lower DKK-1 group (all P < 0.05, Table 2) but not in the higher baseline DKK-1 group (all P > 0.05, Table 2) after treatment. The reduction of SBP and DBP (both P < 0.05, Table 2), but not BMI (P > 0.05, Table 2), were significantly greater in the lower baseline DKK-1 group than that in the higher baseline DKK-1 group. After treatment, FPG, PG2h and HbA1c were significantly improved in both groups (all P < 0.01, Table 2). Covariance analysis showed that ΔHbA1c did not differ between the two groups after adjustment of baseline HbA1c (P > 0.05).

Discussion

In the present study, the serum DKK-1 levels were significantly reduced after hypoglycemic treatment. Patients with lower baseline DKK-1 levels were featured by more favorable baseline blood glucose levels and lipid profiles and had more pronounced improvement in blood pressure after treatment.

We found that a 12-week treatment with premixed insulin with acarbose or metformin was associated with a significant decrease in serum DKK-1 levels. Previous studies showed that DKK-1 might be related to diabetes mellitus, as several cross-sectional studies have revealed that plasma DKK-1 levels were markedly higher in patients with diabetes mellitus than those in healthy subjects.11,21,22 A clinical study showed that DKK-1 levels were significantly decreased after acarbose or rosiglitazone intervention.23 Ghardashi-Afousi et al24 found out that 12 weeks of high-intensity interval training could reduce both fasting glucose and DKK-1 levels. Thus, it is implied that DKK-1 levels could be reduced after hypoglycemic intervention. However, the results in the present study showed that ΔDKK-1 levels were not correlated with the improvement of metabolic indicators. Thus, the underlying mechanisms between the reduction of DKK-1 levels and hypoglycemic treatments need further investigation.

To be noted, the present study revealed that subjects with lower baseline DKK-1 levels (<3700 pg/mL) had lower baseline HbA1c, TC and LDL-C levels, moreover, subjects with lower baseline DKK-1 levels had more significant improvement of blood pressure compared with subjects with higher baseline DKK-1 levels (≥3700 pg/mL), while the glycemic improvement was similar between these two groups. Since lipid profiles and blood pressure are important risk factors of cardiovascular disease,25,26 our results implied that patients with lower baseline DKK-1 levels might have a lower risk of cardiovascular disease. Previous studies showed that DKK-1 levels are closely related to atherosclerotic diseases such as myocardial infarction or ischemic cerebrovascular disease.24,27,28 Ghardashi-Afousi et al24 found that carotid intima-media thickness, a validated surrogate marker of atherosclerosis, was positively associated with DKK-1. Ueland et al27 have demonstrated by experiments that increasing DKK-1 levels in carotid plaque may enhance the interactions between platelets and endothelial cells, which may play a role in the progression of atherosclerotic lesion. Our results provided more information on the relationship between DKK-1 and serum lipids, but the cause-and-effect linkage between DKK-1 and serum lipids still needs in vitro and in vivo experiments to clarify. In addition, we found a negative relationship between the changes of DKK-1 levels and baseline DKK-1 levels. Even though the reduction of DKK-1 was greater in higher baseline DKK-1 group, the subjects did not show better improvement in cardiometabolic parameters. As we did not evaluate the events of cardiovascular disease in the present study, the relationship between DKK-1, diabetes mellitus, and its complications and comorbidities needs to be further illuminated in future studies.

There are some limitations in this study. First of all, the present study is a sub-study of AIM study with a relatively small sample size. Second, the present study is a single-center study, limiting the generalizability of our findings. Third, the short period of intervention (12 weeks) could only demonstrate a short-term effect of hypoglycemic treatment on the levels of DKK-1 and cardiometabolic risk factors. Fourth, even though the subjects were asked to maintain their previous lifestyle, daily nutrition intake was not measured in the study. The effect of nutrition and calorie intake on DKK-1 levels needs further investigation. Moreover, there was no control group without treatment, so the relationship between hypoglycemic drugs, HbA1c, and DKK-1 levels needs to be further studied by designing placebo-controlled trials in the future.

Conclusions

In conclusion, DKK-1 levels were significantly decreased after hypoglycemic treatment. Patients with lower baseline DKK-1 levels might have better cardiometabolic state and improvement of metabolic indicators after treatment.