# Early Time-Dependent Dynamic Changes of  TBET and GATA3 mRNA Expressions in Patients with  Acute Coronary Syndrome

Authors: Timothy H. Rainer; Colin A. Graham; Rebecca W. Y. Chan; Cangel P. Y. Chan; Patrick C. F. Tan; Gabriel W. K. Yip; Cheuk-Man Yu
Journal: Disease Markers
 (2013)

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## Abstract

Background. T-box expressed in T cells (TBET) and guanine adenine thymine adenine sequence-binding protein 3 (GATA3) play important roles in the differentiation of Th1 and Th2 subsets, which contributes to the progression of acute coronary syndrome (ACS). Objective. This study aimed to investigate the temporal change of TBET/GATA3 mRNA ratio in ACS. Methods. Thirty-three patients suspected of ACS with symptom onset within 24 hours were recruited. Blood samples were taken after arrival at the emergency department and at hourly intervals until the 6th hour. The mRNA expressions of TBET and GATA3 were quantified by a real-time RT-qPCR. Results. The TBET/GATA3 mRNA ratio was elevated dramatically in patients with acute myocardial infarction (AMI) and exhibited biphasic M-shaped release kinetics with two distinct peaks. The ratio was elevated 2 hours after symptom onset, dropped to the lowest level at 10 hours, and rose to the second peak at 14 hours. A similar biphasic M-shaped curve was observed in AMI patients with blood samples taken prior to any intervention. Conclusions. The TBET/GATA3 mRNA ratio was elevated in AMI patients throughout most of the first 20 hours after symptom onset. The biphasic M-shaped release kinetics was more likely to reflect pathophysiological changes rather than treatment effects.


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## Body

## 1. Introduction

On activation, T lymphocytes differentiate into T-helper (Th) 1 and Th2 subsets, and although the control of the Th1/Th2 imbalance is not fully elucidated, there is growing evidence to suggest that two transcription factors, T-box expressed in T cells (TBET) and guanine adenine thymine adenine sequence-binding protein 3 (GATA3), play important roles in such differentiation [1–4].Th1 is essential in the process of plaque instability and plaque rupture, which in turn are common features in the pathogenesis of acute coronary syndrome (ACS) [5–7]. Upregulation of Th1 response has been demonstrated in the circulating lymphocytes of patients with ACS [6, 8]. In contrast, Th2 has rarely been shown in atherosclerotic lesions. Recent studies suggest that loss of Th1 and Th2 balance contributes to plaque rupture and the onset of ACS [6, 9]. Th1 and Th2 imbalances in the pathogenesis of ACS have been observed coherently from transcription to protein levels in both animal models and human subjects [8–13]. The relative expression of TBET and GATA3, resulting in a swing in the Th1/Th2 pendulum, has been implicated in several immunological diseases and may provide better prognostic and diagnostic information than downstream cytokines.In our recent study, we have demonstrated that the TBET/GATA3 mRNA ratio was elevated in patients with ACS and associated with disease severity [14]. However, little is known about whether the biological and temporal changes in circulating leukocyte TBET/GATA3 mRNA balance are associated with the ACS progress and whether the changes reflect the development of the pathophysiological processes or the effect of therapeutic intervention. This study aimed to investigate the temporal dynamic changes in initial mRNA expressions of TBET/GATA3 ratio in patients presenting with various clinical stages of coronary artery diseases including stable angina (SA), unstable angina (UA), and acute myocardial infarction (AMI).


## 2. Materials and Methods

### 2.1. Study Design and Setting

This prospective observational study was conducted at the Emergency Department (ED) of the Prince of Wales Hospital in Hong Kong. Ethical approval was obtained from the local Institutional Review Board, and written consent was obtained from all patients or the closest available relative. Patients were recruited consecutively between 9:00 a.m. and 5:00 p.m. from Monday to Friday.  Age- and sex-matched healthy subjects, which acted as a healthy control group, had no history of chronic or recent acute illness. Both the research nurse who collected clinical data and the scientist who performed the laboratory analysis were blinded to the clinical outcome.


### 2.2. Inclusion and Exclusion Criteria

Patients aged ≥18 years presenting to the ED with nontraumatic chest or epigastric pain of less than 24 hours since acute symptom onset, and with a provisional diagnosis of ACS were recruited into the study. Patients were excluded if they had sustained an AMI within 10 days prior to arrival, had received an intramuscular injection or sustained trauma within 3 days, had renal impairment, severe muscular or infectious disease, asthma, systemic lupus erythematosus, or obvious noncardiac chest pain (e.g., pneumothorax, rib fractures, pneumonia, or trauma).


### 2.3. Diagnosis and Treatment

Patients were diagnosed as SA (a disease control group) if there was a typical chest pain occurring with activity but relieved by rest or vasodilators within 10 minutes of onset. ACS patients were diagnosed according to the published consensus of the European Society of Cardiology and American College of Cardiology Committee at the time of the study [15, 16]. Patients were diagnosed as (i) UA patient (a disease control group) if there was an accelerating or “crescendo” pattern of chest pain which either occurred at rest or lasted longer than 10 minutes or was not responsive to medication; (ii) AMI patient if there was an increase in cardiac troponin T (cTnT) with at least one value above 0.06 μg/L together with evidence of myocardial ischemia with at least one of the following: (a) symptoms of ischemia (chest pain); (b) electrocardiogram (ECG) changes indicative of new ischemia (new ST-T changes or new left branch bundle block (LBBB) or T wave inversion); (c) development of pathological Q wave changes in ECG; (d) echo evidence of new loss of viable myocardium or new regional wall motion abnormality [16]. AMI patients were further subdivided into patients with ST elevation myocardial infarction (STEMI) and non-ST elevation MI (NSTEMI).  Patients were managed according to the standardized treatment protocols [15, 17] and treated with aspirin, nitrates, enoxaparin, thrombolysis, and/or coronary angiography, and percutaneous coronary intervention (PCI) as clinically indicated.


### 2.4. Blood Collection, Processing, and Storage

A 12 mL of venous blood sample was withdrawn from each patient as soon as possible after arrival at the ED (T0) and at hourly intervals until the 6th hour (T1, T2, T3, T4, T5, and T6) and then immediately transferred into EDTA tubes. A venous blood sample was also withdrawn from each control subject at T0, T3, and T6 after written consent was obtained.After centrifugation at 1600 g for 10 minutes at 4°C, the buffy coat layer was transferred to a microcentrifuge tube and further centrifuged at 230 g for 5 minutes at 4°C to remove the plasma. Then, the buffy coat was removed, lysed, and preserved in lysis buffer (Trizol LS Reagent, Invitrogen). The total RNA in the samples was extracted by the RNeasy Mini Kit (Qiagen Inc., Canada) following manufacturer’s instructions. All RNA samples were pretreated with Amplification Grade Deoxyribonuclease I (Invitrogen) and then stored at −80°C until further processing. Blood samples were also collected for routine measurement of cTnT and other biochemical parameters. The upper reference limit for cTnT was 0.03μg/L.


### 2.5. Real-Time Quantitative Reverse Transcription Polymerase Chain Reaction (RT-qPCR)

A quantitative RT-qPCR by the ABI Prism 7700 Sequence Detector System (Applied Biosystems, Foster City, CA, USA) was used to determine the mRNA expressions of TBET, GATA3, and glyceraldehyde 3-phosphate dehydrogenase (GAPDH) which was used as a housekeeping gene for normalization. We have developed RT-qPCR assays for TBET (Gene ID: 30009) and GATA3 (Gene ID: 2625). The assay for TBET spans exons 1 and 2 of the transcript located on 17q21.32 and the assay for GATA3 spans exons 2 and exon 3 of the transcript located on 10p15. Both assays are intron-spanning. The primer and probe sequences of TBET, GATA3, and GAPDH were designed using Primer Express (v2.0) and are summarized in Supplemental Table1 (see Supplementary Material available online at http://dx.doi.org/10.1155/2013/139895). The RT-qPCR amplifications were performed in a volume of 25 μL at 50°C for 2 minutes, 60°C for 30 minutes, and 95°C for 5 minutes followed by 40 cycles of 94°C for 20 seconds and 60°C for 1 minute. Each sample was run in duplicate. The results of RT-qPCR were analyzed by the Sequence Detection Software version 1.9 (Applied Biosystems, Foster City, CA, USA). Calibration curves for TBET, GATA3 and GAPDH mRNA measurements were prepared by serial dilutions of HPLC-purified single-stranded synthetic oligonucleotides. The concentrations of TBET and GATA3 mRNA were expressed in copies/pg of GADPH mRNA.


### 2.6. Statistical Analysis

Statistical analysis was performed using MedCalc version 11.5.1 (Mariakerke, Belgium) and Statview for Windows version 5.0 Statistical Analysis Software (Abacus Concepts, SAS Institute, Cary, NC, USA). Categorical variables were compared using Chi-square test. Continuous variables were compared by using Mann-WhitneyU test or unpaired t-test between the two groups, and by using ANOVA test followed by a post hoc Bonferroni test for multiple comparisons. A P value of less than 0.05 was considered as statistically significant.In this pragmatic study, it was important that essential therapies continued without delay or interruption. Inevitably, this meant that blood samples could not be taken at some time points. In order to proceed with statistical analysis, missing data points were filled using a statistical technique described by Snedecor and Cochran [18]. 16% of the total data points were missing and were computed using the following formula:
(1)X=aT+bB-S(a-1)(b-1),
where a is the number of patients, b is the number of time points, T is the sum of data points from the same patient with missing time point, B is the sum of data points from the same time point as missing time point, and S is the sum of all observed data points.In order to determine whether the dynamic changes of the TBET/GATA3 mRNA ratio were related to the treatment effect or primarily to pathophysiological changes, the changes of the ratio in 136 patients (47 AMI and 89 non-AMI) with single blood samples taken at ED arrival were used for comparison [14].


## 2.1. Study Design and Setting

This prospective observational study was conducted at the Emergency Department (ED) of the Prince of Wales Hospital in Hong Kong. Ethical approval was obtained from the local Institutional Review Board, and written consent was obtained from all patients or the closest available relative. Patients were recruited consecutively between 9:00 a.m. and 5:00 p.m. from Monday to Friday.  Age- and sex-matched healthy subjects, which acted as a healthy control group, had no history of chronic or recent acute illness. Both the research nurse who collected clinical data and the scientist who performed the laboratory analysis were blinded to the clinical outcome.


## 2.2. Inclusion and Exclusion Criteria

Patients aged ≥18 years presenting to the ED with nontraumatic chest or epigastric pain of less than 24 hours since acute symptom onset, and with a provisional diagnosis of ACS were recruited into the study. Patients were excluded if they had sustained an AMI within 10 days prior to arrival, had received an intramuscular injection or sustained trauma within 3 days, had renal impairment, severe muscular or infectious disease, asthma, systemic lupus erythematosus, or obvious noncardiac chest pain (e.g., pneumothorax, rib fractures, pneumonia, or trauma).


## 2.3. Diagnosis and Treatment

Patients were diagnosed as SA (a disease control group) if there was a typical chest pain occurring with activity but relieved by rest or vasodilators within 10 minutes of onset. ACS patients were diagnosed according to the published consensus of the European Society of Cardiology and American College of Cardiology Committee at the time of the study [15, 16]. Patients were diagnosed as (i) UA patient (a disease control group) if there was an accelerating or “crescendo” pattern of chest pain which either occurred at rest or lasted longer than 10 minutes or was not responsive to medication; (ii) AMI patient if there was an increase in cardiac troponin T (cTnT) with at least one value above 0.06 μg/L together with evidence of myocardial ischemia with at least one of the following: (a) symptoms of ischemia (chest pain); (b) electrocardiogram (ECG) changes indicative of new ischemia (new ST-T changes or new left branch bundle block (LBBB) or T wave inversion); (c) development of pathological Q wave changes in ECG; (d) echo evidence of new loss of viable myocardium or new regional wall motion abnormality [16]. AMI patients were further subdivided into patients with ST elevation myocardial infarction (STEMI) and non-ST elevation MI (NSTEMI).  Patients were managed according to the standardized treatment protocols [15, 17] and treated with aspirin, nitrates, enoxaparin, thrombolysis, and/or coronary angiography, and percutaneous coronary intervention (PCI) as clinically indicated.


## 2.4. Blood Collection, Processing, and Storage

A 12 mL of venous blood sample was withdrawn from each patient as soon as possible after arrival at the ED (T0) and at hourly intervals until the 6th hour (T1, T2, T3, T4, T5, and T6) and then immediately transferred into EDTA tubes. A venous blood sample was also withdrawn from each control subject at T0, T3, and T6 after written consent was obtained.After centrifugation at 1600 g for 10 minutes at 4°C, the buffy coat layer was transferred to a microcentrifuge tube and further centrifuged at 230 g for 5 minutes at 4°C to remove the plasma. Then, the buffy coat was removed, lysed, and preserved in lysis buffer (Trizol LS Reagent, Invitrogen). The total RNA in the samples was extracted by the RNeasy Mini Kit (Qiagen Inc., Canada) following manufacturer’s instructions. All RNA samples were pretreated with Amplification Grade Deoxyribonuclease I (Invitrogen) and then stored at −80°C until further processing. Blood samples were also collected for routine measurement of cTnT and other biochemical parameters. The upper reference limit for cTnT was 0.03μg/L.


## 2.5. Real-Time Quantitative Reverse Transcription Polymerase Chain Reaction (RT-qPCR)

A quantitative RT-qPCR by the ABI Prism 7700 Sequence Detector System (Applied Biosystems, Foster City, CA, USA) was used to determine the mRNA expressions of TBET, GATA3, and glyceraldehyde 3-phosphate dehydrogenase (GAPDH) which was used as a housekeeping gene for normalization. We have developed RT-qPCR assays for TBET (Gene ID: 30009) and GATA3 (Gene ID: 2625). The assay for TBET spans exons 1 and 2 of the transcript located on 17q21.32 and the assay for GATA3 spans exons 2 and exon 3 of the transcript located on 10p15. Both assays are intron-spanning. The primer and probe sequences of TBET, GATA3, and GAPDH were designed using Primer Express (v2.0) and are summarized in Supplemental Table1 (see Supplementary Material available online at http://dx.doi.org/10.1155/2013/139895). The RT-qPCR amplifications were performed in a volume of 25 μL at 50°C for 2 minutes, 60°C for 30 minutes, and 95°C for 5 minutes followed by 40 cycles of 94°C for 20 seconds and 60°C for 1 minute. Each sample was run in duplicate. The results of RT-qPCR were analyzed by the Sequence Detection Software version 1.9 (Applied Biosystems, Foster City, CA, USA). Calibration curves for TBET, GATA3 and GAPDH mRNA measurements were prepared by serial dilutions of HPLC-purified single-stranded synthetic oligonucleotides. The concentrations of TBET and GATA3 mRNA were expressed in copies/pg of GADPH mRNA.


## 2.6. Statistical Analysis

Statistical analysis was performed using MedCalc version 11.5.1 (Mariakerke, Belgium) and Statview for Windows version 5.0 Statistical Analysis Software (Abacus Concepts, SAS Institute, Cary, NC, USA). Categorical variables were compared using Chi-square test. Continuous variables were compared by using Mann-WhitneyU test or unpaired t-test between the two groups, and by using ANOVA test followed by a post hoc Bonferroni test for multiple comparisons. A P value of less than 0.05 was considered as statistically significant.In this pragmatic study, it was important that essential therapies continued without delay or interruption. Inevitably, this meant that blood samples could not be taken at some time points. In order to proceed with statistical analysis, missing data points were filled using a statistical technique described by Snedecor and Cochran [18]. 16% of the total data points were missing and were computed using the following formula:
(1)X=aT+bB-S(a-1)(b-1),
where a is the number of patients, b is the number of time points, T is the sum of data points from the same patient with missing time point, B is the sum of data points from the same time point as missing time point, and S is the sum of all observed data points.In order to determine whether the dynamic changes of the TBET/GATA3 mRNA ratio were related to the treatment effect or primarily to pathophysiological changes, the changes of the ratio in 136 patients (47 AMI and 89 non-AMI) with single blood samples taken at ED arrival were used for comparison [14].


## 3. Results

Between 12 September, 2007 and 12 February, 2008, 33 patients were recruited to the study with a provisional diagnosis of ACS. Baseline characteristics of the patients are shown in Table1. The median age of the 28 healthy subjects acting as the healthy control group was 58 years (IQR 53–62), and there were 18 males (64.0%). The 95th percentile for the TBET/GATA3 mRNA ratio was 1.26 in the control group.  Figure 1 shows the temporal changes of the TBET/GATA3 mRNA ratio in patients with AMI and non-AMI over 20 hours from the symptom onset and in healthy control subjects. The TBET/GATA3 mRNA ratios in the AMI group were significantly higher than those in the non-AMI group which included patients with SA and UA acting as the disease control group at 6 hours (1.7 versus 1.1, P=0.007), 8 hours (1.6 versus 1.2, P=0.006), 14 hours (2.8 versus 1.2, P=0.035), 16 hours (2.4 versus 1.2, P=0.020), and almost at 18 hours (1.7 versus 0.8, P=0.060). The TBET/GATA3 mRNA ratio exhibited biphasic M-shaped release kinetics. The ratio was elevated 2 hours after the symptom onset, dropped to the lowest level at 10 hours, and rose to the second peak at 14 hours. The biphasic M-shaped curve was also observed by plotting the TBET/GATA3 mRNA ratio against the time from ED arrival (Figure 2). The temporal changes in the TBET/GATA3 mRNA ratio for each individual patient were shown in Figure 3. The ratios were above the 95th percentile in only 2 out of 8 SA patients (25.0%) (Figure 3(a)) while there were 6 out of 11 UA patients (54.5%) with the ratios above the 95th percentile (Figure 3(b)). Among the 14 AMI patients, the ratios were above the 95th percentile in all the 9 STEMI patients (100.0%) (Figure 3(c)) and all the 5 NSTEMI patients (100.0%) (Figure 3(d)).Table 1
Baseline characteristics of AMI and non-AMI patients.
Total (n=33)Non-AMI (n=19)AMI (n=14)P ValueCharacteristicAge-median years (IQR)73 (56–81)74 (55–83)65 (56–81)0.477Male gender—no. (%)20 (58)10 (53)9 (64)0.754Time from symptom onset to blood taking for measurements of TBET & GATA3—median hours (IQR)4.0 (3.0–8.9)3.5 (2.6–5.8)5.3 (4.0–12.0)0.068Past history—no. (%)Myocardial infarction5 (15)2 (11)2 (14)0.832Cerebrovascular disease7 (21)4 (21)3 (21)0.686Heart failure6 (18)4 (21)1 (7.0)0.542Diabetes11 (33)4 (21)6 (43)0.335Hypertension21 (64)11 (58)9 (64)0.991Current smoker9 (27)5 (26)4 (29)0.801Ex-smoker3 (24)0 (0.0)2 (14)0.336Obesity6 (18)1 (5.0)4 (29)0.176Hyperlipidemia6 (18)2 (11)4 (29)0.383Atrial fibrillation4 (12)3 (16)1 (7)0.832Medications—no. (%)Warfarin2 (6.0)2 (5.9)0 (0.0)0.607Aspirin15 (46)9 (47)6 (17.6)0.923Beta-blocker9 (33)4 (21)4 (11.8)0.931Final diagnosis—no. (%)Stable angina8 (24)8 (42)—Unstable angina11 (33)11 (58)—NSTEMI5 (15)—5 (36)STEMI9 (27)—9 (64)Mortality—no. (%)2 (6.0)0 (0.0)2 (14)0.336Figure 1
Temporal changes in the TBET/GATA3 mRNA ratio after symptom onset in 14 AMI patients (●), 19 non-AMI patients (○), and 28 control subjects (▲). Data is presented as mean ± 1SEM. The grey zone represents the ratio within the 95th percentile (i.e., ≤1.26). Significant difference in TBET/GATA3 mRNA ratio was found between AMI and non-AMI patients withP<0.05 by using t-test (*) or post hoc Bonferroni test (**).Figure 2
Temporal changes in the TBET/GATA3 mRNA ratio after ED arrival in 14 AMI patients (●), 19 non-AMI patients (○), and 28 control subjects (▲). Data is presented as mean ± 1SEM. The grey zone represents the ratio within the 95th percentile (i.e., ≤1.26). Significant difference in TBET/GATA3 mRNA ratio was found between AMI and non-AMI patients withP<0.05 by using t-test (*).Temporal changes in TBET/GATA3 mRNA ratio in 8 patients with stable angina (a), 11 patients with unstable angina (b), 9 patients with STEMI (c), and 5 patients with NSTEMI (d). The grey zone represents the ratio within the 95th percentile (i.e., ≤1.26).
(a)(b)(c)(d)The areas below the curves for all the patient groups were significantly greater than that for the control group (P<0.0001). The area below the curve for the STEMI group was significantly greater than that for the SA group (P=0.041) while for the NSTEMI was significantly greater than those for the SA (P=0.001) and the UA (P=0.008) groups.Significant difference in TBET/GATA3 mRNA ratio atT0 was found across different groups (Kruskal-Wallis Test, P=0.0006) (Figure 4). The median TBET/GATA3 mRNA ratio was highest in NSTEMI patients (1.97 (IQR: 1.54–3.08)), followed by STEMI (1.32 (IQR: 1.19–1.84)), UA (1.18 (IQR: 1.10–1.33)), and SA (1.05 (IQR: 0.92–1.11)) and lowest in healthy subjects (0.97 (IQR: 0.65–1.10)).Figure 4
Box-plot of TBET/GATA3 mRNA ratio atT0 in healthy subjects (N=28), in patients with stable angina (N=8), unstable angina (N=11), NSTEMI (N=5), and STEMI (N=9). The differences across the groups were significant (Kruskal-Wallis test, P=0.0006), while the differences between groups are compared using Mann-Whitney U test. The lines inside the boxes denote medians, while the boxes mark the interval between the 25th and 75th percentiles. The whiskers denote the interval between the 10th and 90th percentiles.Based on Figure1, it was difficult to determine whether the biphasic M-shaped release kinetics was due to treatment effects or pathophysiological mechanisms. In order to find out the underlying reason, it was necessary to investigate the temporal changes of TBET/GATA3 mRNA ratio in samples taken prior to any intervention. The first samples taken from the 33 patients exhibited similar release kinetics as shown in Figure 1. However, the sample size was too small for robust analysis. Therefore, blood samples taken from the 136 patients prior to any intervention recruited in our previous study were investigated [14]. A similar biphasic M-shaped curve as shown in Figure 5 was observed in the 47 AMI patients. Changes in the TBET/GATA3 mRNA ratio of the 89 non-AMI patients resembled those of the AMI patients. The TBET/GATA3 mRNA ratios in the AMI group were significantly higher than those in the non-AMI group at 2 hours (1.7 versus 0.9, P=0.001), 4 hours (2.2 versus 1.1, P=0.003), 6 hours (2.0 versus 1.0, P=0.0006), 8 hours (2.2 versus 1.1, P=0.0003), 10 hours (1.9 versus 1.0, P=0.003), 12 hours (1.8 versus 1.0, P=0.011), 14 hours (2.8 versus 1.2, P=0.010), 16 hours (1.7 versus 0.9, P=0.044), and 20 hours (1.8 versus 1.0, P=0.002).Figure 5
Temporal changes in mean TBET/GATA3 mRNA ratio after symptom onset in 47 AMI patients (●) and 89 non-AMI patients (○) recruited in our previous study [14]. Data is presented as mean ± 1SEM. The grey zone represents the ratio within the 95th percentile (i.e., ≤1.26). Significant difference in TBET/GATA3 mRNA ratio was found between AMI and non-AMI patients with P<0.05 by using t-test (*) or post hoc Bonferroni test (**).


## 4. Discussion

The Evidence shows that the progression of atherosclerotic disease is associated with systemic immune activation [11, 19]. Different stages of atherosclerotic disease are associated with distinct differentiation patterns of activated T-helper cells. Many studies have demonstrated that Th1/Th2 imbalance contributes to the initiation and progression of ACS [6, 9]. Also, there is growing evidence to suggest that two upstream transcription factors, TBET and GATA3, governing T-helper cell differentiation, play an important role in the progression of atherosclerosis and its complications [20–23]. TBET promotes Th1 lineage commitment [24] and maintains the Th1 mediated immune response, which fosters macrophage activation, infiltration, and the resulting ACS [25]. Th1 cells and their related cytokines play a crucial role in inflammatory cell infiltration to the lipid plaque [9–12]. Th1 cytokines were elevated in ACS patients with higher concentrations in AMI patients compared with SA or UA patients [10]. GATA3 promotes Th2 differentiation [26] and induces Th2 cytokines production in an analogous way to TBET [27].In our previous study [14], the diagnostic performances of initial CK, initial cTnT, GATA3 mRNA, TBET mRNA, and TBET/GATA3 mRNA ratio were compared using receiver operating characteristics (ROC) curve analysis. The area under the curve (AUC) for TBET/GATA3 mRNA ratio was 0.897 (95% CI 0.833–0.943), which was greater than that of the other variables analyzed. There were significant differences in the AUC between TBET/GATA3 ratio and initial CK (0.780; 95% CI 0.700–0.847; P=0.0142), initial cTnT (0.785; 95% CI 0.705–0.851; P=0.0116), GATA3 mRNA (0.704; 95% CI 0.643–0.796; P=0.0001), and TBET mRNA (0.510; 95% CI 0.422–0.597; P<0.0001).This study was the first to demonstrate distinct temporal changes of the TBET/GATA3 mRNA ratios in AMI patients, non-AMI patients, and healthy control subjects. The TBET/GATA3 mRNA ratio was elevated dramatically in AMI patients and exhibited biphasic M-shaped release kinetics with two distinct peaks. The first blood samples taken from the 14 AMI patients prior to any intervention in the current study also showed the biphasic M-shaped curve. However, the sample size was too small for robust analysis and drawing any conclusion. Therefore, the blood samples taken from the 47 AMI patients prior to any intervention in our previous study were used for analysis by plotting the change of the TBET/GATA3 ratio against the symptom onset. A similar biphasic M-shaped curve was observed. This indicates that the temporal changes in the TBET/GATA3 mRNA ratio were associated with the development of the pathophysiological processes rather than the effect of therapeutic intervention.  Besides, the temporal changes of the TBET/GATA3 ratio in the 89 non-AMI patients recruited in the previous study resembled those in the AMI patients. However, this was not observed in the 19 non-AMI patients recruited in the current study. The difference may be explained by the difference in the proportions of the UA and SA patients. With a much higher proportion of UA patients (80.9% versus 57.9%), the curve shape was much closer to that of AMI patients, but the peaks were less pronounced compared to those of AMI patients.The biphasic release kinetics of TBET/GATA3 mRNA ratio suggested that significant pathophysiological processes were underway which could reflect a surge in inflammatory and/or immunological activity in ACS. One possible explanation is that the first peak represents the increased inflammatory activity associated with plaque rupture and a distinct Th1 mediated response to coronary arterial inflammation in ACS patients [12].  The second peak may reflect the active immunological response to myocardial necrosis. The loss of Th1/Th2 balance in peripheral blood of ACS patients may represent distinct inflammatory cascades mediating the myocardial inflammation after myocardial necrosis which leads to ventricular remodeling [12].Several studies have shown that Th1/Th2 imbalance is implicated in the ACS process [6, 9, 12, 28]. This imbalance is particularly related to more severe ACS and tends to skew towards Th1 predominance. However, the sampling procedures did not specify exact timings and generally related timings to ED arrival rather than symptom onset. The more precise timing of our study allowed a more detailed analysis of the temporal variations of TBET/GATA3 mRNA ratio, which in turn reflected Th1/Th2 balance in ACS patients.  TBET/GATA3 mRNA ratio may act as an alternative measure of Th1/Th2 cytokine profiles as the altered Th1/Th2 cytokine expression in ACS is the result of a shift of TBET and GATA3 profiles. In line with other studies, Th1/Th2 balance was reflected more closely by the TBET/GATA3 mRNA ratio than the variations of absolute TBET and GATA3 expressions [29].There were two limitations in this study. Firstly, the number of participants was relatively small. Further studies with larger sample sizes are required to investigate the diagnostic and prognostic windows by using the TBET/GATA3 ratio in ACS. These studies should provide statistical confirmation of the optimal cutoff value for the ratio. Secondly, it was not possible to take samples at all the proposed time points which in turn rendered statistical analysis difficult. This study was conducted in a real-life context. Precise study conditions, especially sampling, were curtailed because patients required emergency therapeutic procedures.  In order to proceed with statistical analysis, missing data points were filled using a statistical technique described by Snedecor and Cochran [18].In conclusion, this study has demonstrated that the TBET/GATA3 mRNA ratio was elevated in patients with AMI throughout most of the first 20 hours after onset of acute symptoms. The biphasic M-shaped release kinetics was more likely to reflect pathophysiological changes rather than treatment effects.



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*Source: 139895-2013-09-30.xml*