Effect of Anthocyanins Supplementation on Serum IGFBP-4 Fragments and Glycemic Control in Patients with Fasting Hyperglycemia: A Randomized Controlled Trial.

BACKGROUND: Insulin-like growth factor binding protein-4 (IGFBP-4) fragments have been shown to be associated with cardiometabolic diseases. Anthocyanins as a subgroup of natural polyphenols could have benefits on treating cardiometabolic diseases. The aim of this study was to examine the effects of purified anthocyanins on serum IGFBP-4 fragments and glycemic control in patients with fasting hyperglycemia.
METHODS: A set of 121 participants with elevated fasting glucose (≥5.6 mmol/L), who were originally randomly assigned to anthocyanins (320 mg/day) or placebo groups, were included in this study. Serum IGFBP-4 fragments, fasting and postload glucose, insulin, and C-peptide after a three-hour oral glucose tolerance test (OGTT) were measured at baseline and at the end of 12 weeks.
RESULTS: Compared with placebo, anthocyanins increased serum IGFBP-4 fragments (net change 8.33 ng/mL, 95% CI [1.2, 15.47], p=0.023) and decreased fasting glucose (-0.4 mmol/L [-0.71, -0.1], p=0.01), 2-hour C-peptide (-1.02 ng/mL [-1.99, -0.04], p=0.041) and the 3-hour area under the curve (AUC) of C-peptide (-2.19 [-4.11, -0.27], p=0.026). No other significant difference in parameters for glycemic control and insulin resistance was observed.
CONCLUSION: Anthocyanins supplementation for 12 weeks improved serum IGFBP-4 fragments and decreased fasting glucose and postload C-peptide in patients with fasting hyperglycemia. Further studies are needed to confirm our findings and clarify the potential mechanism. TRIAL REGISTRATION: ClinicalTrials.gov, NCT02689765. Registered on 6 February 2016, https://clinicaltrials.gov/ct2/show/NCT02689765.

Introduction

The epidemic of diabetes mellitus has been a major health threat both in China and worldwide.1 In china, diabetes accounts for 116 million adults in 2019.2 Over 90% of diabetes mellitus are type 2 diabetes mellitus (T2DM). The main pathological basis of T2DM is hyperglycemia and insulin resistance. Insulin is known to be the only hormone in our body that can decrease blood glucose, but another class of hormones named insulin-like growth factors (IGFs, IGF-I and IGF-II), which are structurally and functionally similar to insulin, may have the same effect. The IGF system also includes the family of insulin-like growth factor binding proteins (IGFBPs). Among these IGFBPs, IGFBP-4 is the smallest member and may serve to restrain or limit the activity of IGF-I.3 It can be hydrolyzed into fragments by pregnancy-associated plasma protein-A (PAPP-A)4,5 thereby regulating IGFs availability.

The IGF axis is implicated in metabolic and vascular disorders, and has been proposed as a potential therapeutic target for insulin resistance and T2DM.6,7 During recent decades, there has been growing interest in the relation between T2DM and the newly identified IGFBP-4 fragments. A cross-sectional study found that IGFBP-4 fragments were lower in newly diagnosed and well-controlled T2DM patients than in healthy controls and were associated with cardiovascular disease risk factors.8 However, the role of circulating IGFBP-4 fragments in the progression of T2DM remains unclear, and few interventional studies have focused on IGFBP-4 fragments.

Anthocyanins are a subgroup of polyphenols that are widespread in colorful edible plants. There are inconsistent results concerning the antidiabetic effect of anthocyanin or anthocyanin-rich extracts in interventional studies.9,10 We have reported the favorable effects of purified anthocyanins on the lipid profile in patients with prediabetes or newly-diagnosed diabetes.11 Nonetheless, we did not observe significant alterations in fasting glucose in the overall subjects. Since the participants varied, with differences in pathogenesis and metabolic characteristics, such as impaired fasting glucose (IFG) and impaired glucose tolerance (IGT),12,13 we proposed a study that only included subjects characterized by newly-diagnosed fasting hyperglycemia to investigate the effect of anthocyanins on serum IGFBP-4 fragments, and to explore the correlations between IGFBP-4 fragments and glucose metabolism.

Subjects and Methods

Study Design and Participants

This study was performed as a 12-week CONSORT-compliant, randomized controlled trial (RCT) registered with ClinicalTrials.gov (Identifier: NCT02689765). The original study was conducted in Guangzhou, China in 2016, and the details of the study design and methods have been described elsewhere.11 Participants with prediabetes or newly diagnosed diabetes (fasting glucose ≥5.6 mmol/L or 2-hour glucose ≥7.8 mmol/L or glycated hemoglobin A1c (HbA1c) ≥ 5.7 mmol/mol) were recruited for the trial. The exclusion criteria were as follows: 1) a history of diabetes or hypoglycemic agents; 2) pregnant or lactating women; and 3) acute or chronic infectious disease, thyroid disease, glucocorticoid use, polycystic ovarian syndrome, traumatic injuries or surgeries. In the present study, we excluded participants with isolated postprandial hyperglycemia, and included a subset of participants with fasting hyperglycemia, which was defined as elevated fasting glucose (≥5.6 mmol/L), referring to the American Diabetes Association criteria for the diagnosis of IFG.14

Eligible participants were randomly assigned to receive either anthocyanins or placebo treatment. The allocation sequence was determined by computer-generated random-numbers. Investigators, participants and laboratory technicians were blinded to the assignment until the completion of the data collection and analysis. The daily anthocyanin capsules were described in the previous trials of our laboratory,15,16 and contained 320 mg of 17 different anthocyanins, which were mainly purified from natural bilberry and blackcurrant, with most delphinidin-3-O-glucosides and cyanidin-3-O-glucosides, and pullulan and maltodextrin as excipients. The detailed ingredients were described in a previous trial from our laboratory.17 Participants in the control group were instructed to consume identically packaged placebo capsules, which only contained the same excipients with the same color. The Ethics Committee of Sun Yat-Sen University approved this study, and all participants provided a signed informed consent form.

Data Collection

Participants underwent a standardized 3-hour 75 g oral glucose tolerance test (OGTT) following a 10-hour overnight fast. Venous blood samples were obtained at 0, 30, 60, 120 and 180 minutes for the determination of serum glucose, insulin and C-peptide levels. Specimens were aliquoted and stored at −80°C until measurement.

Anthropometric measures were assessed by trained staff using calibrated scales with the participants shoeless and wearing light clothing. The same staff measured blood pressure in the right arm using a standard mercury sphygmomanometer. All participants completed a face-to-face questionnaire that included sociodemographic data, medical history, use of medication, and lifestyle factors including habitual food intakes and physical activities.

Participants were asked to provide a three-day dietary record, which was used to estimate dietary nutrient intakes at baseline and after 12 weeks of the study according to the Chinese Food Composition Table. During the whole intervention, participants were asked to avoid consuming anthocyanin-rich foods, such as berries and grapes. They were also asked to maintain their usual dietary habits and physical activities. Anthocyanin or placebo capsules were given to the participants after randomization. All the participants were asked to attend periodic interviews every 2 weeks, and compliance was evaluated by counting their remaining capsules. When compliance was less than 80% of the scheduled capsules, subjects were excluded from the trial.

Laboratory Measurements

Serum IGFBP-4 fragments were measured using an ELISA kit and a solid-phase two-site enzyme immunoassay (Mercodia, Uppsala, Sweden). The average intra- and interassay coefficients of variation (CVs) for IGFBP-4 fragments were 3.3% and 4.6%, respectively. Serum glucose was measured by the glucose oxidase method. HbA1c was assayed by cation exchange high-pressure liquid chromatography (HPLC) (Bio-Rad Laboratories, California, USA). Insulin and C-peptide were determined by electrochemical luminescence (Roche Diagnostics, Indianapolis, USA). Fasting blood samples were also collected to measure triglycerides, total cholesterol, low-density lipoprotein (LDL) cholesterol and high-density lipoprotein (HDL) cholesterol with an automated analyzer. Apolipoprotein A-1 (apo A-1) and apolipoprotein B (apo B) levels were measured with the nephelometric method.

Calculations for Insulin Sensitivity

Areas under the curve (AUCs) of the 3-hour OGTT for glucose, insulin, and C-peptide were calculated according to the trapezoidal rule. The homeostasis model assessment of insulin resistance (HOMA-IR) and β-cell function (HOMA-β) were calculated based on fasting glucose and insulin concentrations.18 The index of hepatic insulin clearance was calculated by the AUC of the C-peptide-to-insulin ratio.19 The insulin secretion function of β-cells was measured by the insulinogenic index (ΔInsulin30min-0min/ΔGlucose30min-0min).20 The fasting and postload C-peptide indexes (CPIs) after oral glucose ingestion were calculated as the C-peptide-to-glucose ratio.21

Dynamic measures of glucose and insulin homeostasis:

HOMA-IR= (fasting insulin [μU/mL] ×fasting glucose [mmol/L])/22.5).

HOMA-β=20×fasting insulin [μU/mL]/(fasting glucose [mmol/L]-3.5).

Insulinogenic index=(Insulin30min-Insulin0min)/(Glucose30min–Glucose0min).

Insulin clearance=AUC C-peptide/AUC Insulin.

Fasting and postprandial CPI=100×C-peptide [ng/mL]/glucose [mg/dL].

Statistical Analysis

Statistical analyses were performed with SPSS 22.0 (IBM Inc., Chicago, IL, USA) and R 3.5.3 (R Foundation, Vienna, Austria). The data for this study were analyzed using the per-protocol (PP) data set. Continuous variables were expressed as the mean ± SD. Categorical variables were expressed as numbers (percentages) and were compared using the chi-square test. Baseline demographics, dietary intakes and physical activities were compared between the two groups by Student’s t-test to assess their baseline comparability.

The differences between the before- and after- intervention measurements were analyzed using a paired t-test. Both the independent Student’s t-test and a linear mixed model (ANCOVA) were used to compare the differences in the net changes between the two groups, with false discovery rate (FDR) correction for multiple comparisons. The covariates adjusted in the mixed model included baseline value, age, sex, and medications for blood pressure and lipids. Pearson correlation coefficients (r) were used to determine the association between the changes in IGFBP-4 fragments and glucose metabolism markers.

Results

Subject Characteristics at Baseline and Follow-Up

A total of 121 subjects with elevated fasting glucose were included in this study, and 104 subjects (54 in the anthocyanin group and 50 in the control group) successfully completed the 12-week treatment and attended the follow-up visits (). At least 90% of the participants in each group consumed 89% of the supplements provided, and compliance did not significantly differ between the two groups (one subject in each group was excluded).

Subjects in the two intervention groups were comparable in demographics and anthropometric markers, such as age, sex, body weight, waist circumference, and dietary intake of total energy and food groups (Table 1). In addition, baseline values of parameters for glycemic control, insulin sensitivity, and lipids were similar between the two groups (data will be submitted on request). After 12 weeks of intervention, no significant difference between the two groups was observed either in the changes in anthropometric, hepatic and renal function or inflammatory markers (), or in the changes in dietary nutrients during the intervention ().

Table 1

Baseline Characteristics of the Study Participants

	Anthocyanins (n=56)	Placebo (n=65)	P
Age (years)	61.27±8.36	60.88±6.97	0.78
Sex (M/F)	19/37	23/42	1
Education			0.85
Primary school	5(8.9%)	7(10.8%)
Middle school	33(58.9%)	40(61.5%)
College	18(32.1%)	18(27.7%)
Occupation			0.19
Professionals	30(53.6%)	33(50.8%)
Laborers	23(41.1%)	22(33.8%)
Others	3(5.4%)	10(15.4%)
Current smoking	11(19.6%)	6(9.2%)	0.12
Alcohol drinking	3(5.4%)	3(4.6%)	1
Anthropometrics
Weight (kg)	64.2±12.49	63.23±10.57	0.64
BMI (kg/m2)	24.92±3.05	25.11±3.45	0.75
Waist circumference (cm)	88.9±9.29	88.2±8.89	0.67
Hip circumference (cm)	97.3±7.66	96.33±8.74	0.52
Waist/hip ratio	0.91±0.05	0.9±0.05	0.36
SBP (mmHg)	133.24±16.65	133.04±20.04	0.95
DBP (mmHg)	78.91±10.45	78.14±9.27	0.67
Dietary intake
Total energy (kcal/d)	1824.12±758.31	1878.48±708.86	0.69
Grains and cereals (g/d)	375.23±230.83	404.67±160.2	0.41
Vegetables (g/d)	339.64±228.83	343.61±197.6	0.92
Fruits (g/d)	94.15±201.43	84.01±121.1	0.73
Anthocyanins (mg/d)	10.55±7.6	10.61±4.92	0.96
Sports			0.58
1~3 times/week	21(%)	28(%)
4~7times/week	35(%)	37(%)

Notes: Data are presented as the mean ±standard deviation for continuous variables and n (%) for categorical variables. P value was for the differences between the two groups, compared by independent samples t-test.

Abbreviations: BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure.

Effects of Anthocyanins on IGFBP-4 Fragments and Metabolic Markers

Serum IGFBP-4 fragment levels were significantly decreased in the placebo group (−4.83 ng/mL, 95% CI [−9.56, -1.02], p=0.045) but tended to be increased in the anthocyanins group (3.51 ng/mL [−1.89, 8.91], p=0.198), resulting in a relative significant difference between the anthocyanins and placebo groups (with a net change of 8.33 ng/mL, 95% CI [1.2, 15.47], p=0.023)(Figure 1, Table 2). After adjusting for potential confounders in the ANCOVA model, the difference between the two groups remained significant. A similar marginally significant change in IGFBP-4 fragments was also observed in the mixed ANCOVA model among the overall subjects of the primary trial (data not shown).

Figure 1

Changes in IGFBP-4 fragments and fasting glucose after 12 weeks of treatment with anthocyanins or placebo. (A) Changes in IGFBP-4 fragments, (B) changes in fasting glucose.

Table 2

Changes in Glucose Metabolism Parameters After 12 Weeks of Treatment with Anthocyanins or Placebo in Hyperglycemic Patients

	Anthocyanins (n=54)		Placebo (n=50)		Net Change (95% CI)	Pt-test	PANCOVA
	Baseline	12 Weeks	Baseline	12 Weeks
IGFBP4 (ng/mL)	64.44±19.29	67.95±17.09	65.52±25.15	60.69±19.69*	8.33(1.2, 15.47) †‡	0.023	0.003
Glycemic control
Hemoglobin A1c (%)	6.24±0.62	5.9±0.5*	6.09±0.57	5.89±0.59*	−0.13(−0.26, 0)	0.058	0.151
Fasting glucose (mmol/L)	6.56±0.66	6.29±0.74*	6.37±0.54	6.5±0.74	−0.4(−0.71, −0.1) †‡	0.010	0.040
2-h glucose (mmol/L)	10.6±3.58	11.15±3.25	9.43±3.45	10.35±3.33*	−0.37(−1.45, 0.71)	0.499	0.697
Fasting insulin (μU/mL)	11.92±7.11	11.05±5.86	12.57±5.45	12.16±6.78	−0.68(−2.41, 1.05)	0.437	0.441
2-h insulin (μU/mL)	92.14±61.6	98.1±55.97	83.42±57.3	107.66±78.31*	−16.38(−36.07, 3.3)	0.102	0.121
Fasting C-peptide (ng/mL)	2.64±1.06	2.52±0.89	2.61±1.12	2.61±0.95	−0.14(−0.4, 0.11)	0.260	0.325
2-h C-peptide (ng/mL)	11.45±3.53	11.72±3.18	10.92±3.7	12.35±4.26*	−1.02(−1.99, −0.04) †‡	0.041	0.035
Insulin sensitivity
HOMA-IR	3.49±2.26	3.12±1.7	3.62±1.8	3.58±2.2	−0.37(−0.98, 0.25)	0.238	0.188
HOMA-β	80.2±44.67	82.51±44.6	87.4±33.52	82.17±41.83	7.54(−4.43, 19.5)	0.214	0.369
AUC Glucose	30.76±7.01	32.08±6.34	28.51±6.47	30.43±6*	−0.49(−2.7, 1.71)	0.658	0.613
AUC Insulin	210.24±121.22	224.21±107.89	218.3±124.53	268.78±164.15*	−34.38(−71.26, 2.51)	0.067	0.056
AUC C-peptide	26.34±7.42	26.67±6.23	26.55±7.76	29.28±8.77*	−2.19(−4.11, −0.27) †‡	0.026	0.011
Insulinogenic index	9.94±9	9.94±7.17	11.06±8.85	11.83±8.15	−0.77(−3.04, 1.51)	0.504	0.265
Insulin clearance	7.23±2.48	6.62±2.21*	6.8±1.93	6.15±1.84*	0.03(−0.53, 0.6)	0.904	0.446
Fasting CPI	2.24±0.86	2.23±0.79	2.25±0.88	2.23±0.76	0.01(−0.16, 0.19)	0.906	0.897
2-h CPI	6.57±2.35	6.2±1.97	6.99±2.86	7.1±2.87	−0.48(−1.1, 0.14) ‡	0.126	0.028

Notes: Data are presented as the mean ±standard deviation. *P<0.05 by paired t-test for the comparison of the difference between baseline and 12 weeks. †P<0.05 by independent samples t-test for the net change difference between the two groups. ‡P<0.05 by ANCOVA for the net change difference between the two groups after adjusting for baseline values, age, sex, blood pressure and lipid medications.

Abbreviations: AUC, area under the curve; HOMA, homeostasis model assessment.

Fasting glucose levels were decreased in the anthocyanins group (−0.27 mmol/L [−0.5, −0.04], p=0.024), while no significant change was observed in the control group (0.13 mmol/L [−0.06, 0.33], p=0.178), and a significant difference (net change −0.4 mmol/L [−0.71, −0.1], p=0.01) between the two groups was observed (Figure 1, Table 2). Significant differences were also observed in the net changes in postload 2-hour C-peptide (−1.02 ng/mL [−1.99, −0.04], p=0.041) and the 3-hour AUC for C-peptide (−2.19 [−4.11, −0.27], p=0.026) (Figure 2, Table 2). The adjusted mixed model showed similar significant differences in fasting glucose and postload C-peptide, except for an additional significance of the 2-hour CPI (−0.48 [−1.1, 0.14], p=0.028). No other significant difference between the anthocyanins and placebo groups was observed in the markers for glycemic control and insulin sensitivity.

Figure 2

Changes in C-peptide following a 3-hour oral glucose tolerance test. The changes of 2-hour C-peptide and the area under the curve for C-peptide were decreased in anthocyanins group compared with placebo.

For lipid metabolism, anthocyanins significantly decreased LDL cholesterol (−0.28 mmol/L [−0.55, -0.02], p=0.035) and apo B (−0.09 g/L [−0.17, -0.01], p=0.025) after the 12-week treatment, but no other significant difference was observed in lipid profile (). A similar pattern was observed among the overall subjects in the primary study (data not shown).

Correlation Between the Changes in IGFBP-4 Fragments and Glucose Metabolism Parameters

The change in IGFBP-4 fragments was inversely correlated with postload 2-hour glucose (r=−0.42, p=0.005) and 2-hour C-peptide (r=−0.33, p=0.03) as well as the insulinogenic index (r=−0.31, p=0.04) in the placebo group (). In contrast, no significant association was observed between the change in IGFBP-4 fragments and 2-hour glucose (r=0.02, p=0.88), 2-hour C-peptide (r=−0.05, p =0.72) and the insulinogenic index (r=−0.16, p=0.29) in the anthocyanins group.

Discussion

To our knowledge, this is the first interventional study to examine the effect of purified anthocyanins on serum IGFBP-4 fragments, an important regulatory protein of the IGF system. The current study showed that 12-week anthocyanins supplementation at 320 mg/d is effective for reducing fasting glucose, 2-hour C-peptide and the AUC of C-peptide during a 3-hour OGTT, and tends to increase serum IGFBP-4 fragment levels in patients with untreated fasting hyperglycemia.

The effect on IGFBP-4 fragments may provide a novel biochemical basis for the use of anthocyanins. To better understand the clinical implications of our findings, the complex PAPP-A-IGFBP-IGF axis should be elucidated. The PAPP-A-generated IGFBP-4 fragments reflect PAPP-A enzymatic activity and provide a novel cardiac risk marker.22,23 IGFBP-4 bidirectionally modulates the interaction with IGFs and their receptors. Both the N-terminus and C-terminus segments of IGFBP-4 can mask or block the binding of IGF-I to its receptor, thereby controlling the activity and distribution of IGF-I.24 When IGFBP-4 is cleaved, IGF-I is released from IGFBP-4 and becomes available to activate its receptor.25,26 At this point, the increase in IGFBP-4 fragments in the current study may reflect an increase in IGF-I action. Epidemiological studies have suggested that lower circulating IGF-I was associated with T2DM27 and higher all-cause mortality,28 while higher IGF-I conferred a reduced risk of coronary artery disease.29 However, other studies showed opposing relationships between IGF-I and cardiometabolic risks.30–32 Similarly, high levels of IGFBP-4 fragments were found to be associated with an increased risk of cardiac events in patients with symptoms of myocardial ischemia.33 The possible reason could be that local IGF-I in coronary atherosclerosis stimulates vascular smooth muscle cell proliferation and releases inflammatory factors leading to vulnerable plaques.34,35 Due to the complexity of IGF system function, clinical implications vary in different disease populations. A large prospective study found that the association between free IGF-I and T2DM varied by insulin levels,36 and indicated an inverse association limited to subjects with higher levels of insulin. Thus, data from individual patients with specific conditions, such as those in this study, are required to reach firmer conclusions.

A recent interventional study indicated that blackcurrant anthocyanin increased the concentration of cyclic glycine-proline (cGP), a metabolite of IGF-I, to exert neuroprotective benefits in patients with Parkinson’s disease.37 To some sense, the increase in IGF-I metabolite response to anthocyanin treatment is consistent with the increase in IGFBP-4 fragments in the current study. An animal study suggested that the increase in circulating IGF-I could promote resistance to IGF-I-mediated glucose reduction.38 Due to the presence of binding proteins and possible IGF-I resistance, the levels of circulating IGF-I do not reflect its bioactive function.

In this study, we observed a relative increase in IGFBP-4 fragments (12.8%) along with the glucose-lowering effect of anthocyanins. Mechanistic studies have previously demonstrated the antidiabetic effect of anthocyanins.39 Our previous meta-analysis conclusively revealed that anthocyanins could decrease fasting glucose in cardiometabolic diseases (standardized mean difference: −0.31 [−0.59, −0.04]).40 A recent meta-analysis also demonstrated that anthocyanins improved glycemic control, especially in studies with intervention duration ˃ 8 weeks and anthocyanin doses ˃ 300 mg/d.41 An early in vitro study indicated that high levels of glucose modulate IGFBP-4 stability and increase IGFBP-4 proteolytic activity, thereby enhancing IGF-I availability to its receptors.42 IGF-I could elicit an insulin-like hypoglycemic response by producing a similar suppression of glucose production and increasing glucose uptake.43 The combined improvement of IGFBP-4 fragments and fasting glucose in this study may suggest a protective effect of anthocyanins against the development of T2DM. The relation between IGF system and glucose metabolism is of interest and requires further investigation.

According to the correlation analyses, decreased IGFBP-4 fragments were negatively correlated with the increase in postload glucose and C-peptide in the controls, while anthocyanins eliminated these correlations by increasing IGFBP-4 fragments and decreasing postload C-peptide. C-peptide is cosecreted with insulin and cannot be cleared by the liver; therefore, the serum C-peptide level may provide a more stable measure of endogenous insulin secretion.44 In addition, C-peptide has lower within-subject and between-subject variation than insulin,45 which is consistent with our data. C-peptide also has an insulinomimetic effect and interacts synergistically with insulin.46

Case-control studies for T2DM suggested that high levels of fasting or postprandial C-peptide were associated with insulin resistance,47 increased carotid artery intima-media thickness (CIMT),48 and increased risk of all-cause and cardiovascular mortality.49 Another earlier study suggested that a C-peptide-based index was more closely related to T2DM than an insulin-based index.50 In the current study, a decrease was observed in another parameter associated with endogenous insulin secretion, the 2-hour CPI,51 which appears to better predict pancreatic β-cell area than fasting measures, such as the HOMA index.52 Taken together, the decreases in postprandial C-peptide and CPI in this study might suggest a potential effect of anthocyanins that prevents the progression of insulin resistance.

The current study has some limitations. First, the concentration of IGF-I was not measured. Since the majority of circulating IGF-I is bound to IGFBPs, the measurable IGF-I in circulation is largely physiologically inactive and does not reflect its bioactivity.53 Second, we measured only IGFBP-4 fragments rather than full-length IGFBP-4. Some influences on the precision of detection should be considered, such as low concentration, high molecular weight, and interference by formation of complexes with other proteins.54 In contrast, the detection of IGFBP-4 fragments is reliable, and the concentrations of the fragments present in the circulation are similar to those of intact IGFBP-4.55 Finally, this study represents a subgroup analysis from a randomized trial and therefore can be interpreted as a controlled prospective cohort study with observational research evidence. Nevertheless, the baseline characteristics and most metabolic parameters were distributed equally between the two groups, which represents the achievement of first-level evidence in this study. We also adjusted the baseline value of all parameters and other possible confounders that were not considered in the random process. Additionally, the changes in IGFBP-4 fragments within the subgroup were consistent with and representative of the results in the primary study. Nonetheless, additional long-term trials specifically designed for hyperglycemic patients are needed to confirm our findings.

Conclusion

In patients with fasting hyperglycemia, intervention with 320 mg/d of purified anthocyanins for 12 weeks improved serum IGFBP-4 fragments, fasting glucose, and postprandial C-peptide levels. The findings of this study provide new evidence for clinical applications using the IGF system, such as IGFBP-4 fragments, to evaluate the prevention and treatment of T2DM. Further studies are needed to clarify the potential mechanism and should include complete and precise measurement of the IGF system and its metabolites to elucidate their variation in the treatment of type 2 diabetes.