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Glycogen Phosphorylase Isoenzyme Bb, Myoglobin and BNP in ANT-Induced Cardiotoxicity

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Published/Copyright: December 31, 2018
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From the journal Open Life Sciences Volume 13 Issue 1

Abstract

Anthracyline (ANT) has been demonstrated as a useful treatment for leukemia and solid tumors. However, ANT has previously reported cardiotoxic effects, which can reduce the therapeutic index for cancer treatment. This study aimed to investigate the associations of glycogen phosphorylase isoenzyme BB (GPBB), myoglobin (Mb), and brain natriuretic peptide (BNP) with anthracycline (ANT-induced cardiotoxicity (AIC)) amongst the Chinese population. Patients suffering from leukemia were recruited. Electrocardiogram and echocardiography were used along with chemotherapy to determine left ventricular ejection fraction (LVEF), mitral ratio of peak early to late diastolic filling velocity (E/A), E-wave deceleration time (EDT), and isovolumic relaxation time (IVRT). Double-antibody sandwich enzyme-linked immunosorbent assay (DAS-ELISA) was employed to examine and compare serum GPBB, Mb, and BNP levels. Following chemotherapy, the patients presented higher levels of serum GPBB, Mb, and BNP than before chemotherapy treatment. The levels of LVEF (%), E/A, and IVRT were significantly decreased after chemotherapy, while EDT was markedly increased. The cumulative ANT dose was positively corelated to serum GPBB, Mb, and BNP levels while it was negatively corelated to LVEF levels. In conclusion, serum GPBB, Mb, and BNP levels in combination might provide higher diagnostic accuracy in the early detection of AIC compared with other single indicators.

Keywords: Glycogen phosphorylase isoenzyme BB; Myoglobin; Brain natriuretic peptide; Anthracyclines ; Cardiotoxicity; Combined diagnosis; Left ventricular ejection fraction; Enzyme-linked immunosorbent assay

1 Introduction

Anthracyclines (ANT) are one of the most widely-applied and effective chemotherapeutic agents in the treatment of hematologic malignancies and solid tumors [1]. However, a number of studies have indicated that ANT chemotherapy has cardiotoxic effects [2, 3]. Chronic anthracycline-induced cardiotoxicity (AIC), including early-onset AIC (within one year after ANT chemotherapy termination) and late-onset AIC (years or even decades after ANT chemotherapy termination), is known to be dose-dependent and can cause irreversible heart failure [4, 5]. In most cases, chronic AIC presents as asymptotic systolic and/or diastolic left ventricular dysfunction, which might later develop into severe congestive heart failure and eventually cause death if left without immediate intervention at the early stage [6]. Therefore, the early detection of AIC is of great significance in the improvement of the ANT chemotherapy prognosis. Glycogen phosphorylase isoenzyme BB (GPBB) is a glycogenolytic enzyme mainly produced by brain and heart, which serves as a glucose-provider for heart muscle tissue [7]. GPBB has high sensitivity towards myocardial ischemia and will be released into circulation in less than 4 hours after myocardial injuries, making it a promising biomarker in the early detection of ischemic myocardial injury [8]. Patients with suspected acute coronary syndrome are said to have a better prognosis when they have negative expression of GPBB [9]. Indicators with both high sensitivity and specificity are necessary for high diagnostic accuracy in the early detection of AIC. Although the sensitivity of GPBB is high, its specificity is not ideal for a heart-exclusive product; therefore, other early indicators for an early myocardial injury diagnosis are needed to compensate for the low specificity of GPBB [10].

Myoglobin (Mb), belonging to the globin family, is an intracellular oxygen-binding hemoprotein highly concentrated in the heart and striated muscle tissue [11]. It is an O2 reservoir and O2 delivery facilitator, protecting the heart from ischemia and reperfusion damage by regulating nitric oxide homeostasis [11, 12]. Mb is the earliest marker in blood after myocardial injuries and can be detected within 2 to 3 hours after the onset [13].

Brain natriuretic peptide (BNP), a cardiac hormone belonging to the family of natriuretic isopeptides, is mainly secreted by ventricular myocytes together with their amino-terminal fragments in response to volume expansion and pressure load [14]. During ANT chemotherapy, the BNP level in plasma increases, making it a useful indicator in the prediction of the development of congestive heart failure (CHF) [15, 16]. BNP is up-regulated in a number of cardiac pathologies related to hemodynamic overload and elevated cardiac fibrosis [17, 18].

In the present study, the levels of GPBB, Mb, and BNP in patients receiving ANT chemotherapy were examined and the independent and combined diagnostic values of GPBB, Mb, and BNP were calculated, aiming to find better scheme in the early detection of AIC.

2 Materials and Methods

2.1 Study population

A total of 129 patients (87 males and 42 females with mean age of 44.72 ± 15.98) diagnosed with leukemia with the use of bone marrow aspiration and flow cytometry in Huzhou Central Hospital (Huzhou, Zhejiang, China) from January 2013 to December 2016 were selected for the study. The exclusion criterias included patients with myocardial ischemic injury, arrhythmia, congenital heart disease, cardiomyopathy, heart failure, acute myocardial infarction, pericarditis and myocarditis; patients with combined diabetes mellitus, hypertension, chronic respiratory disease, chronic systemic disease, anemia, acute infection, and electrolyte imbalance and acid-base balance disorder; patients with combined hepatic and renal injury, cardiopulmonary insufficiency, late-stage cancer cachexia, secondary tumor; or pregnant or lactating female patients.

Informed consent Informed consent has been obtained from all individuals included in this study

Ethical approval The research related to human use has been complied with all the relevant national regulations, institutional policies and in accordance the tenets of the Helsinki Declaration [19], and has been approved by the Ethics Committee of Huzhou Central Hospital.

2.2 Chemotherapy and dose conversion

Patients with acute lymphocytic leukemia (ALL) were first treated with induction chemotherapy with DVCL [daunorubicin (DNR) + vincristine (VCR) + cyclophosphamide (CTX) + L-asparaginase (LASP) + prednisone (Pred)], VDCP (VCR+ DNR + CTX + Pred), and VDP [VCR + DNR + DNR (DNR + Pred)], then received consolidation therapy with etoposide (VP16) + cytarabine (Arac) and early reinforcement and maintenance therapy with high-dose methotrexate (HD-MTX). Patients with acute myeloid leukemia (AML) went through remission induction chemotherapy and consolidation chemotherapy alternatively with DA (DNR + Arac), AA [aclarubicin (ACR) + Arac], TA [pirarubicin (THP) + Arac], and MA [mitoxantrone (MIT) + Arac) and then received reinforcement therapy with high dose Arac (HDA). All drugs were purchased from Sigma (Saint Louis, MO, USA). Afterwards, the cumulative ANT dose was converted based on the cardiotoxicity and on conversion coefficients. Based on the cumulative ANT dose, the patients were divided into four groups: group A included patients with a cumulative dose below 150 mg/m2, group B had patients with a cumulative dose between 150 and 300 mg/m2, group C had patients with a cumulative dose between 300 and 450 mg/m2, and group D had patients with a cumulative dose over 450 mg/m2 [20] (Table 1).

Table 1

Dose conversion of ANTs with the threshold dose of 5% cardiotoxicity occurrence and the conversion coefficients for calculating cumulative ANT dose

DrugsConversion coefficientsDose inducing 5% cardiotoxicity (mg/m2)
DOX1450
DAU0.5900
EPI0.5935
IDA2225
MTX2.2200
THP0.5900

  1. Note: ANT, anthracycline; DOX, doxorubicin; DAU, Daunorubicin; EPI, epirubicin; IDA, idarubicin; MTX, Mitoxantrone; THP, Pirarubicin.

2.3 Electrocardiogram

A 12-lead electrocardiogram (Michael Weiss electrocardiograph, CN110) was used to monitor and record sinus cycle length, loss of R wave voltage, flat T waves, ST segment shifts, and QT interval of all patients 1 d before chemotherapy and 24 h after chemotherapy, respectively [21]. The electrocardiographic diagnosis was performed by well-experienced operators without any knowledge of each patient’s clinical history.

2.4 Echocardiography

Echocardiography (left decubitus position) was performed on patients 1 d before chemotherapy and 24 h after chemotherapy, respectively [21]. Ultrasound cardiotachography (Philip Sonos, America) was used to obtain a cardiogram for each patient in strict accordance with the recommendations provided by the American Society of Echocardiography’s Guidelines and Standards Committee. An apical four chamber view was adopted for M-mode ultrasonography, two-dimensional ultrasonography and Continuous-wave Doppler echocardiographic detection. Left ventricular ejection fraction (LVEF) was calculated according to modified Simpson’s rule. Mitral ratio of peak early to late diastolic filling velocity (E/A), E-wave deceleration time (EDT), and isovolumic relaxation time (IVRT) were also recorded. The final measurement was obtained using the average value from the three cardiac cycles. Echocardiographic diagnosis was also performed by well-experienced operators without any information on each patient’s clinical history.

2.5 Serum biochemical parameters

Fasting blood (4 mL) was collected from the peripheral vein 1 d before chemotherapy and the day after chemotherapy, while the patients were in a decubitus position with an empty stomach. The samples were then preserved in a tube with the addition of anticoagulants (heparin lithium) and blended with 40 μL aprotinin. Following a 10-minute centrifugation at 4°C and at a speed of 2000 r/min, 1.5 mL serum was stored in a tube and refrigerated at –80°C. Subsequently, serum GPBB, Mb, and BNP levels were detected by the Double-antibody sandwich enzyme-linked immunosorbent assay (DAS-ELISA) using a kit from Roche Diagnostics GmbH and analyzed by the ES300 fully Automated microplate ELISA analyzer from Boehringer Mannheim GmbH (Germany).

2.6 Statistical analysis

Data analysis was performed using SPSS 18.0 (IBM Corp. Armonk, NY, USA). Measurement data were presented as mean ± standard deviation and compared using t-test of analysis of variance. Enumeration data were expressed as percentage or rate and compared using Chi-square test. The correlations of serum GPBB, Mb, BNP, and LVEF levels to cumulative ANT dose were analyzed by Spearman’s correlation analysis, with p < 0.05 indicating a statistically significant difference.

3 Results

3.1 Comparisons of baseline characteristics amongst the 129 patients

Prior to chemotherapy, all 129 patients were found without any obvious electrocardiographic abnormalities. Following chemotherapy, 31 patients (cardiotoxicity group) exhibited the following electrocardiographic abnormalities [20]: sinus tachycardia (n=5), sinus bradycardia (n=3), loss of R wave voltage (n=5), flat T wave (n=7), ST segment depression (n=5), or QT interval prolongation (n=6), while 98 patients (normal heart group) presented without any abnormalities on electrocardiography. There were no significant differences in sex, age, body mass index (BMI) and smoking status between the cardiotoxicity group and the normal heart group (all p > 0.05) (Table 2).

Table 2

The clinical characteristics of 129 patients

characteristicsnormal heart group (n = 98)cardiotoxicity group (n = 31)p value
Average age (year)44.16 ± 16.3746.48 ± 14.790.483
Sex (male/female)63/3524/70.174
BMI (kg/m2)24.75 ± 6.1626.30 ± 7.020.273
Smoking (Yes/No)16/826/250.696

  1. Notes: BMI, body mass index.

3.2 Patients with cardiotoxicity present with higher levels of serum GPBB, Mb, BNP, EDT but lower LVEF, E/A, and IVRT after chemotherapy

DAS-ELISA was employed in order to detect whether serum GPBB, Mb, BNP played an influential role in the AIC. The results demonstrated that, before chemotherapy, the cardiotoxicity group and the normal heart group showed no significant difference in GPBB, Mb, and BNP levels (all p > 0.05). After chemotherapy, GPBB, Mb, and BNP levels increased significantly in both groups, with significantly higher GPBB, Mb, and BNP levels in the cardiotoxicity group than that in the normal heart group (all p < 0.05) (Table 3). Electrocardiograms and Echocardiography were performed in order to determine the values of LVEF, E/A, EDT, and IVRT, and the results obtained revealed no significant differences in these values between the two groups before chemotherapy (all p > 0.05). After chemotherapy, while the values of LVEF, E/A, and IVRT markedly decreased, the value of EDT increased in both groups (all p < 0.05). Compared with the normal heart group, LVEF, E/A, and IVRT were apparently lower in the cardiotoxicity group, while EDT was higher (all p < 0.05) (Table 4). These findings revealed that patients with cardiotoxicity presented with high levels of serum GPBB, Mb, BNP, EDT but lower LVEF, E/A, and IVRT after chemotherapy.

Table 3

Comparisons of serum GPBB, Mb and BNP levels in study population before chemotherapy and those after chemotherapy respectively

Before chemotherapypAfter chemotherapyp
GPBB (pg/mL)
Normal heart group22.19 ± 7.160.34330.09 ± 6.46*< 0.001
Cardiotoxicity group23.46 ± 3.4939.89 ± 10.22*
Mb (pg/mL)
Normal heart group31.71 ± 12.5844.75 ± 16.49*
Cardiotoxicity group31.55 ± 13.220.95251.59 ± 16.43*0.030
BNP (pg/mL)
Normal heart group29.80 ± 14.530.27665.28 ± 21.96*< 0.001
Cardiotoxicity group33.15 ± 15.9386.01 ± 36.84*

  1. Note: GPBB, glycogen phosphorylase isoenzyme BB; Mb, myoglobin; BNP, brain natriuretic peptide. * refers to p < 0.05 vs the serum GPBB, Mb and BNP levels in study population before chemotherapy.

Table 4

Comparisons of values of echocardiogram indexes in study population before chemotherapy and those after chemotherapy respectively

Before chemotherapypAfter chemotherapyp
LVEF(%)
Normal heart group56.29 ± 5.140.84453.99 ± 6.85*0.009
Cardiotoxicity group56.51 ± 6.2750.63 ± 4.77*
E/A
Normal heart group1.27 ± 0.340.8911.14 ± 0.03*< 0.001
Cardiotoxicity group1.26 ± 0.271.03 ± 0.04*
EDT/ms
Normal heart group174.23 ± 35.150.509187.65 ± 22.90*0.001
Cardiotoxicity group169.37 ± 37.38204.39 ± 29.84*
IVRT/ms
Normal heart group82.17 ± 10.230.77470.46 ± 16.34*0.011
Cardiotoxicity group81.53 ± 12.5661.86 ± 17.86*

  1. Note: LVEF, left ventricular ejection fraction; E/A, mitral ratio of peak early to late diastolic filling velocity; IVRT, isovolumic relaxation time; EDT, E-wave deceleration time. * refers to p < 0.05 vs values of echocardiogram indexes in study population before chemotherapy.

3.3 Serum GPBB, Mb, and BNP levels are responsible for diagnosis of AIC

In diagnosing AIC, the area under the Receiver Operating Characteristic Curve (AUC) of GPBB was 0.814 (95% confidence interval: 0.694 ~ 0.934) with 80.60% sensitivity and 91.80% specificity, respectively, at the optimal diagnostic threshold of 38.085 pg/mL. For Mb, the AUC was 0.810 (95% confidence interval: 0.719 ~ 0.901), and the sensitivity and specificity were 77.40% and 72.40%, respectively, at the optimal diagnostic threshold of 48.76 pg/mL. For BNP, AUC was 0.897 (95% confidence interval: 0.826 ~ 0.968), with sensitivity and specificity of 74.20% and 94.90%, respectively, at the optimal diagnostic threshold of 89.02 pg/mL. For combined GPBB, Mb, and BNP, AUC was 0.930 (95% confidence interval: 0.880 ~ 0.980) and the sensitivity and specificity were 90.30% and 85.70%, respectively (Fig. 1). These results highly indicated that GPBB, Mb, and BNP had high sensitivity and specificity in the diagnosis of AIC individually or combined.

Fig 1 Individual ROC curves of serum GPBB, Mb, and BNP as well as ROC curves of GPBB, Mb and BNP in combination in the diagnosis of AIC, AUC increase with the diagnostic accuracy. As shown in the figure, the area under the ROC curve of GPBB + Mb + BNP is the largest, suggesting that the combination of the three parameters has the highest diagnostic accuracy. ROC curve, Receiver Operating Characteristic curve; GPBB, lycogen phosphorylase isoenzyme BB; Mb, myoglobin; BNP, brain natriuretic peptide; AIC, anthracycline-induced cardiotoxicity; AUC, area under the curve.
Fig 1

Individual ROC curves of serum GPBB, Mb, and BNP as well as ROC curves of GPBB, Mb and BNP in combination in the diagnosis of AIC, AUC increase with the diagnostic accuracy. As shown in the figure, the area under the ROC curve of GPBB + Mb + BNP is the largest, suggesting that the combination of the three parameters has the highest diagnostic accuracy. ROC curve, Receiver Operating Characteristic curve; GPBB, lycogen phosphorylase isoenzyme BB; Mb, myoglobin; BNP, brain natriuretic peptide; AIC, anthracycline-induced cardiotoxicity; AUC, area under the curve.

3.4 Patients exhibit higher GPBB, Mb, and BNP after chemotherapy

The cumulative ANT dose was calculated within the range of 50 to 699 mg/m2, with a mean dose of 316.53 ± 177.93 mg/m2 in the end of the chemotherapy courses. Afterwards, the cumulative ANT dose was converted based on the cardiotoxicity and on conversion coefficients, and then the patients were divided into four groups: group A included patients with a cumulative dose below 150 mg/m2 (n=39), group B included patients with a cumulative dose between 150 and 300 mg/m2 (n=23), group C had patients with a cumulative dose between 300 and 450 mg/m2 (n=29), and group D had patients with a cumulative dose over 450 mg/m2 (n=38). Before chemotherapy, there was no significant difference in the GPBB, Mb and BNP levels (p > 0.05). After chemotherapy, the GPBB, Mb, and BNP levels increased significantly in all four groups (p < 0.05). After chemotherapy, the results of echocardiography in the four groups showed significant differences compared with the results of echocardiography before chemotherapy

(all p > 0.05). After chemotherapy, there was no significant difference in the values of E/A, EDT and IVRT (all p > 0.05), while LVEF levels showed significant difference among four groups (p < 0.05) (Table 5). These findings revealed that patients presented higher GPBB, Mb, and BNP levels after chemotherapy.

Table 5

Changes in serum GPBB, Mb and BNP levels and in the values of echocardiogram indexes among four groups after chemotherapy

< 150mg/m2 (n = 39)150 ~ 300mg/m2 (n = 23)300 ~ 450mg/m2 (n = 29)> 450mg/m2 (n = 38)Fp
GPBB
Before chemotherapy22.34 ± 7.2922.74 ± 5.6023.06 ± 8.3122.08 ± 4.390.1390.936
After chemotherapy23.68 ± 4.1229.86 ± 4.03*@33.68 ± 4.79*&@42.06 ± 5.44*&#@101.8< 0.001
Mb
Before chemotherapy29.56 ± 10.0731.46 ± 12.7433.78 ± 15.6532.35 ± 12.720.6600.578
After chemotherapy31.93 ± 12.6444.66 ± 15.30*@59.82 ± 9.80*&@52.05 ± 13.76*@29.22<0.001
BNP
Before chemotherapy31.20 ± 14.4129.61 ± 16.9128.77 ± 13.2231.98 ± 15.650.3060.821
After chemotherapy51.74 ± 15.10@70.02 ± 25.06*@88.45 ± 23.71*&@75.53 ± 30.92*@13.6<0.001
LVEF
Before chemotherapy55.27 ± 5.6657.03 ± 5.7155.91 ± 5.3357.36 ± 4.971.1470.333
After chemotherapy59.20 ± 3.97@54.50 ± 4.09*51.07 ± 3.61*&@47.81 ± 5.39*&#@46.33< 0.001
E/A
Before chemotherapy1.28 ± 0.331.30 ± 0.331.22 ± 0.361.27 ± 0.290.3470.792
After chemotherapy1.13 ± 0.05@1.13 ± 0.04@1.12 ± 0.061.10 ± 0.08@1.9480.125
EDT/ms
Before chemotherapy173.64 ± 36.53172.26 ± 42.26171.94 ± 29.29173.81 ± 36.100.0220.996
After chemotherapy189.83 ± 23.03@197.72 ± 28.55@189.28 ± 22.07@191.74 ± 29.09@0.5720.634
IVRT/ms
Before chemotherapy81.76 ± 12.3582.49 ± 6.9081.91 ± 10.3682.07 ± 11.660.0230.995
After chemotherapy68.24 ± 20.40@68.71 ± 14.01@68.57 ± 17.97@68.23 ± 14.74@0.0060.999

  1. Note: GPBB, glycogen phosphorylase isoenzyme BB; Mb, myoglobin; BNP, brain natriuretic peptide; LVEF, left ventricular ejection fraction; E/A, mitral ratio of peak early to late diastolic filling velocity; IVRT, isovolumic relaxation time; EDT, E-wave deceleration time. *, p < 0.05 vs group of < 150mg/m2; &, p < 0.05 vs group of 150 ~ 300mg/m2; #, p < 0.05 vs group of 300 ~ 450mg/m2; @, p < 0.05 vs levels or values before chemotherapy.

3.5 Serum GPBB, Mb, and BNP levels have positive correlations with the cumulative ANT dose, while LVEF has a negative correlation with the cumulative ANT dose

The results from the correlation analysis revealed that serum GPBB, Mb, and BNP levels had positive correlations with the cumulative ANT dose (GPBB: r = 0.784, p < 0.001; Mb: r = 0.729, p < 0.001; BNP: r = 0.741, p < 0.001), while LVEF was negatively correlated with the cumulative ANT dose (r = -0.686, P < 0.001). E/A, EDT, and IVRT had no significant correlations with the cumulative ANT dose (all p < 0.05).

4 Discussion

Although ANT chemotherapy has high efficacy in the treatment of several kinds of malignancies and tumors, the adverse cardiac effects resulting from it have been widely recognized [6]. It has been previously reported that up-regulated BNP served as a diagnostic marker for the risk of cardiotoxicity and could promote the diagnostic performance of AIC [22]. Therefore, the early detection of AIC will benefit the therapeutic effect and the prognosis of ANT chemotherapy because immediate treatment changes can be made. In the present study, patients were assigned into the cardiotoxicity and normal heart groups using an electrocardiogram and were then further divided into four groups based on the ANT dose in order to investigate the serum GPBB, Mb, and BNP levels in patients under ANT treatment and to evaluate the diagnostic values of GPBB, Mb, and BNP individually and combined, in order to identify the values of combining serum GPBB, Mb, and BNP in the early diagnosis of AIC.

LVEF estimation is the most common way to monitor the cardiac function for dose adaption of chemotherapeutic agents [23]. It is well known that the major mechanism of AIC development involves the iron-dependent generation of oxygen species and subsequent wide oxidative damage to cardiac myocytes [24]. According to the observations from the echocardiography, both the cardiotoxicity group and the normal heart group presented with decreased values of LVEF after chemotherapy, suggesting that all recruited patients suffered from cardiac injuries which were not detectable by electrocardiography. In addition, AIC is dose-dependent, creating injuries to myocytes already at the first exposure to ANT [25]. A decrease in the value of LVEF was observed in all four groups, based on cumulative dose and the dose-response relationship after chemotherapy. Correlation analysis also showed that LVEF was negatively correlated with the cumulative dose.

Based on echocardiography, comparisons of the diagnostic accuracy were made on three parameters separately and combined. First, we observed the changes of serum GPBB, Mb, and BNP in patients after chemotherapy. Both the cardiotoxicity group and normal heart group had increased levels of serum GPBB, Mb, and BNP. In the groups that were based on the cumulative ANT dose, the levels of GPBB, Mb, and BNP increased with ANT accumulation. Correlation analysis demonstrated that GPBB, Mb, and BNP were positively correlated with the cumulative ANT dose. These results indicated that serum GPBB, Mb, and BNP are valuable parameters in the early detection of AIC. The activation of GPBB in myocardial ischemia is a result of the promotion in glycogen degradation, which releases GPBB into the circulation [26]. According to recent studies, it has been reported that GPBB is a prospective marker in the early detection of myocardial ischemia and necrosis [9, 27]. BNP, as a biomarker of cardiac myocytes injury, could suggest early RT-related myocardial damage, which affected indirect myocyte toxicity followed by microvascular injury and ischemia [28]. Zidan A et al. reported that NT-proBNP was potentially effective in early detection of myocardial injury afer anti-cancer treatment and also served as an early marker of subclinical late cardiotoxicity after doxorubicin therapy and mediastinal irradiation [29]. Deoxygenated Mb is also known to lower the concentration of nitrite in order to protect the heart from ischemia and reperfusion injury during hypoxia from myocardial damage [11]. Additionally, GPBB was revealed to be a useful marker for detecting the acute cardiotoxicity related to conventional CT containing ANT and HD-CT followed by HCT [30]. It is also closely related with cardiac geometry and mass, and its amino-terminal fragment is a powerful predictor of hypertension mortality [14].

Furthermore, the values of the diagnostic accuracy of GPBB, Mb, and BNP were calculated separately as well as in combination. Based on these calculations, it was found that Mb and GPBB have a relatively higher sensitivity than BNP, with an AUC of 0.791 and 0.845, respectively. A possible explanation for this pattern is that Mb and GPBB respond to myocardial injuries very quickly, Mb within 2 – 3 hours and GPBB within 4 hours [8, 13]. Compared to GPBB and Mb, BNP had a relatively higher specificity with an AUC of 0.789. Combining these three parameters, it was observed that AUC surprisingly reached 0.916 with a specificity of 98.6%, suggesting that using GPBB, Mb, and BNP in combination is superior and more accurate in the early detection of AIC than any single parameter.

5 Conclusion

The present study revealed that the combination of GPBB, Mb, and BNP levels provided a higher diagnostic accuracy, making it the most effective method for the early detection of AIC. However, as the sample size was not large enough, the analysis of the study may have been. Therefore, more large-scale studies should be conducted in order to confirm the diagnostic accuracy of GPBB, Mb, and BNP in combination during the early detection of AIC.

Acknowledgments

We would like to give our sincere appreciation to the reviewers for their helpful comments on this article. This study was supported by 2015 Zhejiang Medical and Health Research Program (Class A) (No. 2015KYA210).

  1. Conflict of interest: Authors state no conflict of interest

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Received: 2018-07-02
Accepted: 2018-10-07
Published Online: 2018-12-31

© 2018 Jia-Yin Di et al., published by De Gruyter

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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https://doi.org/10.1515/biol-2018-0067
Keywords for this article
Glycogen phosphorylase isoenzyme BB; Myoglobin; Brain natriuretic peptide; Anthracyclines; Cardiotoxicity; Combined diagnosis; Left ventricular ejection fraction; Enzyme-linked immunosorbent assay
Creative Commons
BY-NC-ND 4.0

Articles in the same Issue

  1. Research Article
  2. Purification of Tea saponins and Evaluation of its Effect on Alcohol Dehydrogenase Activity
  3. Runt-related transcription factor 3 promoter hypermethylation and gastric cancer risk: A meta-analysis
  4. Risk Factors for Venous Thromboembolism in Hospitalized Patients in the Chinese Population
  5. Value of Dual-energy Lung Perfusion Imaging Using a Dual-source CT System for the Pulmonary Embolism
  6. A new combination of substrates: biogas production and diversity of the methanogenic microorganisms
  7. mTOR modulates CD8+ T cell differentiation in mice with invasive pulmonary aspergillosis
  8. Direct Effects on Seed Germination of 17 Tree Species under Elevated Temperature and CO2 Conditions
  9. Role of water soluble vitamins in the reduction diet of an amateur sportsman
  10. Aberrant DNA methylation involved in obese women with systemic insulin resistance
  11. 16S ribosomal RNA-based gut microbiome composition analysis in infants with breast milk jaundice
  12. Characterization of Haemophilus parasuis Serovar 2 CL120103, a Moderately Virulent Strain in China
  13. MiRNA-145 induces apoptosis in a gallbladder carcinoma cell line by targeting DFF45
  14. Telmisartan induces osteosarcoma cells growth inhibition and apoptosis via suppressing mTOR pathway
  15. Optimizing the Formulation for Ginkgolide B Solid Dispersion
  16. Determination of the In Vitro Gas Production and Potential Feed Value of Olive, Mulberry and Sour Orange Tree Leaves
  17. Factors Influencing the Successful Isolation and Expansion of Aging Human Mesenchymal Stem Cells
  18. The Value of Diffusion-Weighted Magnetic Resonance Imaging in Predicting the Efficacy of Radiation and Chemotherapy in Cervical Cancer
  19. Chemical profile and antioxidant activity of Trollius europaeus under the influence of feeding aphids
  20. SSR Markers Suitable for Marker Assisted Selection in Sunflower for Downy Mildew Resistance
  21. A Fibroblast Growth Factor Antagonist Peptide Inhibits Breast Cancer in BALB/c Mice
  22. Antihyperglycemic and antihyperlipidemic effects of low-molecular-weight carrageenan in rats
  23. Microbial indicators and environmental relationships in the Umhlangane River, Durban, South Africa
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  25. Long non-coding RNA-2271 promotes osteogenic differentiation in human bone marrow stem cells
  26. The prediction of cardiac events in patients with acute ST segment elevation myocardial infarction: A meta–analysis of serum uric acid
  27. Risk expansion of Cr through amphibious clonal plant from polluted aquatic to terrestrial habitats
  28. Overexpression of Zinc Finger Transcription Factor ZAT6 Enhances Salt Tolerance
  29. Sini decoction intervention on atherosclerosis via PPARγ-LXRα-ABCA1 pathway in rabbits
  30. Soluble myeloid triggering receptor expressed on myeloid cell 1 might have more diagnostic value for bacterial ascites than C-reactive protein
  31. A Preliminary Study on the Newly Isolated High Laccase-producing Fungi: Screening, Strain Characteristics and Induction of Laccase Production
  32. Hydrolytic Enzyme Production by Thermophilic Bacteria Isolated from Saudi Hot Springs
  33. Analysis of physiological parameters of Desulfovibrio strains from individuals with colitis
  34. Emodin promotes apoptosis of human endometrial cancer through regulating the MAPK and PI3K/ AKT pathways
  35. Down-regulation of miR-539 indicates poor prognosis in patients with pancreatic cancer
  36. Inhibitory activities of ethanolic extracts of two macrofungi against eggs and miracidia of Fasciola spp.
  37. PAQR6 expression enhancement suggests a worse prognosis in prostate cancer patients
  38. Characterization of a potential ripening regulator, SlNAC3, from Solanum lycopersicum
  39. Expression of Angiopoietin and VEGF in cervical cancer and its clinical significance
  40. Umbilical Cord Tissue Derived Mesenchymal Stem Cells Can Differentiate into Skin Cells
  41. Isolation and Characterization of a Phage to Control Vancomycin Resistant Enterococcus faecium
  42. Glycogen Phosphorylase Isoenzyme Bb, Myoglobin and BNP in ANT-Induced Cardiotoxicity
  43. BAG2 overexpression correlates with growth and poor prognosis of esophageal squamous cell carcinoma
  44. Relationship between climate trends and grassland yield across contrasting European locations
  45. Review Articles
  46. Mechanisms of salt tolerance in halophytes: current understanding and recent advances
  47. Salivary protein roles in oral health and as predictors of caries risk
  48. Nanoparticles as carriers of proteins, peptides and other therapeutic molecules
  49. Survival mechanisms to selective pressures and implications
  50. Up-regulation of key glycolysis proteins in cancer development
  51. Communications
  52. In vitro plant regeneration of Zenia insignis Chun
  53. DNA barcoding of online herbal supplements: crowd-sourcing pharmacovigilance in high school
  54. Case Reports
  55. Management of myasthenia gravis during pregnancy: A report of eight cases
  56. Three Cases of Extranodal Rosai-Dorfman Disease and Literature Review
  57. Letters to the Editor
  58. First report of Chlamydia psittaci seroprevalence in black-headed gulls (Larus ridibundus) at Dianchi Lake, China
  59. Special Issue on Agricultural and Biological Sciences - Part II
  60. Chemical composition of essential oil in Mosla chinensis Maxim cv. Jiangxiangru and its inhibitory effect on Staphylococcus aureus biofilm formation
  61. Secondary metabolites of Antarctic fungi antagonistic to aquatic pathogenic bacteria
  62. Study of Seizure-Manifested Hartnup Disorder Case Induced by Novel Mutations in SLC6A19
  63. Transcriptome analysis of Pinus massoniana Lamb. microstrobili during sexual reversal
  64. Mechanism of oxymatrine-induced human esophageal cancer cell apoptosis by the endoplasmic reticulum stress pathway
  65. Methylation pattern polymorphism of cyp19a in Nile tilapia and hybrids
  66. A Method of Biomedical Information Classification based on Particle Swarm Optimization with Inertia Weight and Mutation
  67. A novel TNNI3 gene mutation (c.235C>T/ p.Arg79Cys) found in a thirty-eight-year-old women with hypertrophic cardiomyopathy
  68. Remote Sensing-Based Extraction and Analysis of Temporal and Spatial Variations of Winter Wheat Planting Areas in the Henan Province of China
  69. Topical Issue on Precision Medicine
  70. Serum sTREM-1, PCT, CRP, Lac as biomarkers for death risk within 28 days in patients with severe sepsis
  71. IL-17 gene rs3748067 C>T polymorphism and gastric cancer risk: A meta-analysis
  72. Efficacy of Danhong injection on serum concentration of TNF-α, IL-6 and NF-κB in rats with intracerebral hemorrhage
  73. An ensemble method to predict target genes and pathways in uveal melanoma
  74. Evaluation of the quality of CT images acquired with smart metal artifact reduction software
  75. NPM1A in plasma is a potential prognostic biomarker in acute myeloid leukemia
  76. Arterial infusion of rapamycin in the treatment of rabbit hepatocellular carcinoma to improve the effect of TACE
  77. New progress in understanding the cellular mechanisms of anti-arrhythmic drugs
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