Mol. Cells 2014; 37(3): 241-247
Published online March 19, 2014
https://doi.org/10.14348/molcells.2014.2344
© The Korean Society for Molecular and Cellular Biology
Correspondence to : *Correspondence: sjsme@korea.kr
Sudden cardiac death (SCD), which is primarily caused by lethal heart disorders resulting in structural and arrhythmogenic abnormalities, is one of the prevalent modes of death in most developed countries. Myocardial ischemia, mainly due to coronary artery disease, is the most common type of heart disease leading to SCD. However, postmortem diagnosis of SCD is frequently complicated by obscure histological evidence. Here, we show that certain mRNA species, namely those encoding hemoglobin A1/2 and B (
Keywords heart failure, hemoglobin, postmortem RNA expression, pyruvate dehydrogenase kinase, sudden cardiac death
Sudden cardiac death (SCD) is a prevalent mode of death in most developed countries, with an estimated overall incidence of 1 to 2 per 1000 population per year. Over the last decade, significant advances have been made in understanding the clinical and genetic basis of SCD, which is primarily caused by heart disorders with structural and arrhythmogenic abnormalities. In forensic cases, ischemic heart disease, caused mainly by coronary artery disease, is the leading cause of SCD, accounting for more than half of all cases. Both acute myocardial infarction and ischemic coronary disease without recent infarction are major causes of ischemic SCD. Dilated and hypertrophic cardiomyopathies as well as congenital heart diseases such as congenital long QT syndrome, catecholaminergic polymorphic ventricular tachycardia, and Brugada syndrome can also result in fatal arrhythmia and cardiac death. However, forensic diagnosis of cardiac dysfunction associated with the sudden onset of arrhythmia or heart failure in autopsy samples is frequently complicated because it is difficult to interpret the severity of or determine the difference between preexisting and terminal dysfunctions based on conventional morphological findings (Oliva et al., 2011).
Postmortem RNA expression profiling, which is an emerging field of forensic medical science, may provide alternative tools for forensic diagnosis of SCD in autopsy cases. Indeed, extensive studies are currently been carried out to address key issues in forensic science regarding the cause and process of death, postmortem interval, and pathophysiological conditions of diseases and injuries (Maeda et al., 2010; Vennemann and Koppelkamm, 2010a). Distinct RNA compositions in autopsy materials have been proposed to imply certain causes and circumstances of death (Chen et al., 2012; Chung et al., 2012; Ikematsu et al., 2005; Miyazato et al., 2012; Takahashi et al., 2009; Zhao et al., 2006; 2009; Zhu et al., 2008). Notably, Maeda and colleagues proposed that left ventricular (LV) expression profiles of several mRNA species encoding hypoxia-inducible factor 1α and natriuretic peptides were relatively higher in autopsy materials of cardiac death subjects, particularly those from subjects with ischemic heart injuries (Chen et al., 2012; Zhu et al., 2008). However, the application of molecular pathology to diagnose unexpected cardiac death is still challenging because of the lack of well-established forensic RNA biomarkers of fatal cardiac dysfunction.
Our goal in this study was to identify novel molecular signatures of cardiac dysfunction after death for the forensic diagnosis of SCD. For this purpose, we explored the pattern of expression of differentially expressed genes (DEGs) associated with both ischemic and non-ischemic SCD and compared it with patterns found in non-cardiac death control subjects by examining genome-wide postmortem RNA expression in autopsy materials from the LV free wall.
Non-infarcted myocardial tissue from the LV free wall was collected from selected medicolegal autopsy cases within 5 days postmortem with the help of the National Forensic Service of Korea. The causes of death examined in the present study were traumatic death without injuries to the heart (TD), ischemic heart disease (IH) with or without old infarction, acute myocardial infarction (MI), and non-ischemic SCD (NI), as classified by routine morphological, biochemical, and toxicological findings (Table 1). Dissected tissues were treated immediately with RNAlater™ solution (QIAGEN GmbH, Germany) according to the manufacturer’s instructions and stored at ?70°C until use.
Total RNA was isolated from 20?50 mg tissue using the RNeasy mini kit (QIAGEN) and then quantified by spectrophotometry. Gene expression profiling by microarray analysis was performed to explore SCD-associated human RNA transcripts as described previously with minor modifications (Chung et al., 2012). Group-pooled cardiac RNA samples representing TD, CC, MI, and NI cases were subjected to microarray analysis. Two hundred nanogram aliquots of total RNA were amplified and labeled. Five micrograms of labeled cDNA was then hybridized to GeneChip Human Gene 1.0 ST arrays (Affymetrix Inc., USA), and the arrays were then washed, stained, and scanned according to the protocol described in the Affymetrix GeneChip Expression Analysis Manual (Affymetrix Inc.). Signal intensities of each gene of interest were then normalized to those of glyceraldehyde 3-phosphate dehydrogenase (
qRT-PCR reactions were performed as described previously with minor modifications (Chung et al., 2012). Relative mRNA levels were deduced according to a previous report (Pfaffl et al., 2002). Briefly, 1 μg of each total RNA sample was reverse-transcribed using MMLV reverse transcriptase (Promega, USA) by the random priming method. Then, aliquots of cDNA were subjected to quantitative real-time PCR in the presence of SYBR Green I (Life Technologies Corp., USA). Reference cDNA was prepared by pooling aliquots of each sample and its three-fold serial dilutions were utilized to calibrate PCR reactions as well as to construct a regression curve for calculating PCR efficiencies of each cycle. Hemoglobin α1/α2 (
Data were statistically evaluated by Student’s
We first examined pathological features of the subjects used in the present study to justify our medicolegal classification of the cases. In comparison with TD as controls, SCD cases showed a significant increment in heart weights (Fig. 1A; F(3, 61) = 9.21, p < 0.01 by one-way ANOVA; p < 0.01 for IH and MI, and p < 0.05 for NI
To identify mRNA species associated with SCD, we carried out microarray analysis on postmortem RNA samples derived from LV myocardial tissues. In our initial approach, we explored individual genes differentially expressed between controls (TD) and SCD subjects categorized into the three subgroups of IH, MI, and NI. Out of 13,288 RNA species that showed differential expression between control and SCD tissues, 85 (IH), 517 (MI), and 514 (NI) DEGs showed a more than 1.5-fold difference in expression compared with the TD controls. Among these, eight gene transcripts were common to all subgroups of SCD (Table 2). mRNA expression levels of hemoglobin α1/α2 (
In the next set of experiments, we compared cardiac
Despite the group differences in
In the present study, we aimed to identify LV myocardium-enriched mRNA species detectable in postmortem heart tissues with expression profiles associated with fatal cardiac dysfunctions leading to SCD. For this purpose, we compared genome-wide mRNA expression profiles in LV free wall tissues from subjects with three different modes of SCD and compared these profiles with those obtained for TD cases as a control group. We found that patterns of
It should be noted that the concept of molecular or genetic autopsy was first established in postmortem investigation of SCD. Early molecular studies of SCD cases included detection of viral genomes in inflammatory cardiomyopathies as well as gene mutational analysis of several hereditary heart diseases (Basso et al., 2001; Tester and Ackerman 2006). Along with recent advances in molecular genetics, several genetic defects in cardiac ion channels such as KCNQ1, KCNH2, KCNE1/2, and SCN5A have been shown to be associated with certain cases of heritable and acquired heart malfunctions due to ventricular arrhythmias and sudden death.
However, it is also believed that RNA expression analysis of autopsy tissues from pathologic and non-pathologic hearts might be useful for postmortem investigation of SCD cases. Both qualitative and quantitative features of cardiac mRNA expression have been examined. For example, an increase in non-functional splice variants of the
PDK4, a mitochondrial protein, is known to play an important regulatory role in maintaining metabolic flexibility in cardiomyocytes by causing a switch from predominant oxidation of fatty acids to oxidation of glucose by phosphorylating pyruvate dehydrogenase (PDH). Loss of metabolic flexibility, such as that in diabetes mellitus, is closely related to the onset of cardiovascular diseases and heart failure (Alvarez-Guardia et al., 2010; Taegtmeyer et al., 2002; Zhao et al., 2008). It was recently found that a splicing mutant of the
From a practical viewpoint, routine normalization methods using a housekeeping gene in quantitative analyses of postmortem RNA expression often mislead and may obscure differences between cases and controls due to a variety of ante-mortem and postmortem factors differentially influencing integrity of each RNA species (Gonzalez-Herrera et al., 2013; Preece and Cairns, 2003; Zhang et al., 2013). Rather, pairwise analyses of a set of gene transcripts with concurrently changed, but negatively correlated under certain pathological condition, appeared to be more practical for forensic applications as we previously demonstrated (Chung et al., 2012). As shown in Fig. 4,
In conclusion, we suggest that concurrent alterations in the expression of heart-enriched
. Subject information
Group | Size/Sex | Age (years) | BMI (mean ± SEM) | Note |
---|---|---|---|---|
Range (mean ± SEM) | ||||
TD | n = 16/M | 25?73 (45.47 ± 2.84) | 23.69 ± 0.85 | No injuries in cardiac tissues |
IH | n = 19/M | 40?69 (52.68 ± 1.44) | 26.91 ± 2.49 | Old infarction in some cases (10/19) |
MI | n = 15/M | 40?63 (54.60 ± 2.00) | 25.22 ± 0.53 | Calcification/thrombosis (15/15) |
NI | n = 20/M | 22?72 (47.10 ± 3.23) | 23.27 ± 0.86 | No ischemic pathology |
TD, Traumatic death; IH, Ischemic heart disease without recent infarction; MI, Acute myocardial infarction; NI, Non-ischemic sudden cardiac death
. Differentially expressed genes
Gene symbol | Gene accession | Fold change | Expression levels** (% of GAPDH) | ||
---|---|---|---|---|---|
IH | MI | NI | |||
NM_000558/NM_000517 | 1.84 | 2.31 | 2.19 | ||
NM_000518 | 1.86 | 2.25 | 2.24 | ||
NM_001657 | ?2.29 | ?2.48 | ?1.99 | 1.33 | |
NM_032047 | ?2.94 | ?1.68 | ?2.09 | 1.72 | |
NM_003665 | ?2.01 | ?2.12 | ?1.83 | 3.32 | |
NM_006186 | ?3.01 | ?1.64 | ?2.72 | 3.51 | |
NM_002612 | ?2.92 | ?3.06 | ?6.80 |
*
**Average expression levels of the four groups for the indicated genes relative to that of
Mol. Cells 2014; 37(3): 241-247
Published online March 31, 2014 https://doi.org/10.14348/molcells.2014.2344
Copyright © The Korean Society for Molecular and Cellular Biology.
Gi Hoon Son1,3, Seong Hwan Park1,3, Yunmi Kim1, Ji Yeon Kim1, Jin Wook Kim1, Sooyoung Chung2, Yu-Hoon Kim, Hyun Kim2, Juck-Joon Hwang1, and Joong-Seok Seo*
Division of Forensic Medicine, National Forensic Service, Seoul 158-707, Korea, 1Department of Legal Medicine, College of Medicine, Korea University, Seoul 136-705, Korea, 2Department of Anatomy and Institute of Human Genetics, College of Medicine, Korea University, Seoul 136-705, Korea, 3These authors contributed equally to this work.
Correspondence to:*Correspondence: sjsme@korea.kr
Sudden cardiac death (SCD), which is primarily caused by lethal heart disorders resulting in structural and arrhythmogenic abnormalities, is one of the prevalent modes of death in most developed countries. Myocardial ischemia, mainly due to coronary artery disease, is the most common type of heart disease leading to SCD. However, postmortem diagnosis of SCD is frequently complicated by obscure histological evidence. Here, we show that certain mRNA species, namely those encoding hemoglobin A1/2 and B (
Keywords: heart failure, hemoglobin, postmortem RNA expression, pyruvate dehydrogenase kinase, sudden cardiac death
Sudden cardiac death (SCD) is a prevalent mode of death in most developed countries, with an estimated overall incidence of 1 to 2 per 1000 population per year. Over the last decade, significant advances have been made in understanding the clinical and genetic basis of SCD, which is primarily caused by heart disorders with structural and arrhythmogenic abnormalities. In forensic cases, ischemic heart disease, caused mainly by coronary artery disease, is the leading cause of SCD, accounting for more than half of all cases. Both acute myocardial infarction and ischemic coronary disease without recent infarction are major causes of ischemic SCD. Dilated and hypertrophic cardiomyopathies as well as congenital heart diseases such as congenital long QT syndrome, catecholaminergic polymorphic ventricular tachycardia, and Brugada syndrome can also result in fatal arrhythmia and cardiac death. However, forensic diagnosis of cardiac dysfunction associated with the sudden onset of arrhythmia or heart failure in autopsy samples is frequently complicated because it is difficult to interpret the severity of or determine the difference between preexisting and terminal dysfunctions based on conventional morphological findings (Oliva et al., 2011).
Postmortem RNA expression profiling, which is an emerging field of forensic medical science, may provide alternative tools for forensic diagnosis of SCD in autopsy cases. Indeed, extensive studies are currently been carried out to address key issues in forensic science regarding the cause and process of death, postmortem interval, and pathophysiological conditions of diseases and injuries (Maeda et al., 2010; Vennemann and Koppelkamm, 2010a). Distinct RNA compositions in autopsy materials have been proposed to imply certain causes and circumstances of death (Chen et al., 2012; Chung et al., 2012; Ikematsu et al., 2005; Miyazato et al., 2012; Takahashi et al., 2009; Zhao et al., 2006; 2009; Zhu et al., 2008). Notably, Maeda and colleagues proposed that left ventricular (LV) expression profiles of several mRNA species encoding hypoxia-inducible factor 1α and natriuretic peptides were relatively higher in autopsy materials of cardiac death subjects, particularly those from subjects with ischemic heart injuries (Chen et al., 2012; Zhu et al., 2008). However, the application of molecular pathology to diagnose unexpected cardiac death is still challenging because of the lack of well-established forensic RNA biomarkers of fatal cardiac dysfunction.
Our goal in this study was to identify novel molecular signatures of cardiac dysfunction after death for the forensic diagnosis of SCD. For this purpose, we explored the pattern of expression of differentially expressed genes (DEGs) associated with both ischemic and non-ischemic SCD and compared it with patterns found in non-cardiac death control subjects by examining genome-wide postmortem RNA expression in autopsy materials from the LV free wall.
Non-infarcted myocardial tissue from the LV free wall was collected from selected medicolegal autopsy cases within 5 days postmortem with the help of the National Forensic Service of Korea. The causes of death examined in the present study were traumatic death without injuries to the heart (TD), ischemic heart disease (IH) with or without old infarction, acute myocardial infarction (MI), and non-ischemic SCD (NI), as classified by routine morphological, biochemical, and toxicological findings (Table 1). Dissected tissues were treated immediately with RNAlater™ solution (QIAGEN GmbH, Germany) according to the manufacturer’s instructions and stored at ?70°C until use.
Total RNA was isolated from 20?50 mg tissue using the RNeasy mini kit (QIAGEN) and then quantified by spectrophotometry. Gene expression profiling by microarray analysis was performed to explore SCD-associated human RNA transcripts as described previously with minor modifications (Chung et al., 2012). Group-pooled cardiac RNA samples representing TD, CC, MI, and NI cases were subjected to microarray analysis. Two hundred nanogram aliquots of total RNA were amplified and labeled. Five micrograms of labeled cDNA was then hybridized to GeneChip Human Gene 1.0 ST arrays (Affymetrix Inc., USA), and the arrays were then washed, stained, and scanned according to the protocol described in the Affymetrix GeneChip Expression Analysis Manual (Affymetrix Inc.). Signal intensities of each gene of interest were then normalized to those of glyceraldehyde 3-phosphate dehydrogenase (
qRT-PCR reactions were performed as described previously with minor modifications (Chung et al., 2012). Relative mRNA levels were deduced according to a previous report (Pfaffl et al., 2002). Briefly, 1 μg of each total RNA sample was reverse-transcribed using MMLV reverse transcriptase (Promega, USA) by the random priming method. Then, aliquots of cDNA were subjected to quantitative real-time PCR in the presence of SYBR Green I (Life Technologies Corp., USA). Reference cDNA was prepared by pooling aliquots of each sample and its three-fold serial dilutions were utilized to calibrate PCR reactions as well as to construct a regression curve for calculating PCR efficiencies of each cycle. Hemoglobin α1/α2 (
Data were statistically evaluated by Student’s
We first examined pathological features of the subjects used in the present study to justify our medicolegal classification of the cases. In comparison with TD as controls, SCD cases showed a significant increment in heart weights (Fig. 1A; F(3, 61) = 9.21, p < 0.01 by one-way ANOVA; p < 0.01 for IH and MI, and p < 0.05 for NI
To identify mRNA species associated with SCD, we carried out microarray analysis on postmortem RNA samples derived from LV myocardial tissues. In our initial approach, we explored individual genes differentially expressed between controls (TD) and SCD subjects categorized into the three subgroups of IH, MI, and NI. Out of 13,288 RNA species that showed differential expression between control and SCD tissues, 85 (IH), 517 (MI), and 514 (NI) DEGs showed a more than 1.5-fold difference in expression compared with the TD controls. Among these, eight gene transcripts were common to all subgroups of SCD (Table 2). mRNA expression levels of hemoglobin α1/α2 (
In the next set of experiments, we compared cardiac
Despite the group differences in
In the present study, we aimed to identify LV myocardium-enriched mRNA species detectable in postmortem heart tissues with expression profiles associated with fatal cardiac dysfunctions leading to SCD. For this purpose, we compared genome-wide mRNA expression profiles in LV free wall tissues from subjects with three different modes of SCD and compared these profiles with those obtained for TD cases as a control group. We found that patterns of
It should be noted that the concept of molecular or genetic autopsy was first established in postmortem investigation of SCD. Early molecular studies of SCD cases included detection of viral genomes in inflammatory cardiomyopathies as well as gene mutational analysis of several hereditary heart diseases (Basso et al., 2001; Tester and Ackerman 2006). Along with recent advances in molecular genetics, several genetic defects in cardiac ion channels such as KCNQ1, KCNH2, KCNE1/2, and SCN5A have been shown to be associated with certain cases of heritable and acquired heart malfunctions due to ventricular arrhythmias and sudden death.
However, it is also believed that RNA expression analysis of autopsy tissues from pathologic and non-pathologic hearts might be useful for postmortem investigation of SCD cases. Both qualitative and quantitative features of cardiac mRNA expression have been examined. For example, an increase in non-functional splice variants of the
PDK4, a mitochondrial protein, is known to play an important regulatory role in maintaining metabolic flexibility in cardiomyocytes by causing a switch from predominant oxidation of fatty acids to oxidation of glucose by phosphorylating pyruvate dehydrogenase (PDH). Loss of metabolic flexibility, such as that in diabetes mellitus, is closely related to the onset of cardiovascular diseases and heart failure (Alvarez-Guardia et al., 2010; Taegtmeyer et al., 2002; Zhao et al., 2008). It was recently found that a splicing mutant of the
From a practical viewpoint, routine normalization methods using a housekeeping gene in quantitative analyses of postmortem RNA expression often mislead and may obscure differences between cases and controls due to a variety of ante-mortem and postmortem factors differentially influencing integrity of each RNA species (Gonzalez-Herrera et al., 2013; Preece and Cairns, 2003; Zhang et al., 2013). Rather, pairwise analyses of a set of gene transcripts with concurrently changed, but negatively correlated under certain pathological condition, appeared to be more practical for forensic applications as we previously demonstrated (Chung et al., 2012). As shown in Fig. 4,
In conclusion, we suggest that concurrent alterations in the expression of heart-enriched
. Subject information.
Group | Size/Sex | Age (years) | BMI (mean ± SEM) | Note |
---|---|---|---|---|
Range (mean ± SEM) | ||||
TD | n = 16/M | 25?73 (45.47 ± 2.84) | 23.69 ± 0.85 | No injuries in cardiac tissues |
IH | n = 19/M | 40?69 (52.68 ± 1.44) | 26.91 ± 2.49 | Old infarction in some cases (10/19) |
MI | n = 15/M | 40?63 (54.60 ± 2.00) | 25.22 ± 0.53 | Calcification/thrombosis (15/15) |
NI | n = 20/M | 22?72 (47.10 ± 3.23) | 23.27 ± 0.86 | No ischemic pathology |
TD, Traumatic death; IH, Ischemic heart disease without recent infarction; MI, Acute myocardial infarction; NI, Non-ischemic sudden cardiac death.
. Differentially expressed genes.
Gene symbol | Gene accession | Fold change | Expression levels** (% of GAPDH) | ||
---|---|---|---|---|---|
IH | MI | NI | |||
NM_000558/NM_000517 | 1.84 | 2.31 | 2.19 | ||
NM_000518 | 1.86 | 2.25 | 2.24 | ||
NM_001657 | ?2.29 | ?2.48 | ?1.99 | 1.33 | |
NM_032047 | ?2.94 | ?1.68 | ?2.09 | 1.72 | |
NM_003665 | ?2.01 | ?2.12 | ?1.83 | 3.32 | |
NM_006186 | ?3.01 | ?1.64 | ?2.72 | 3.51 | |
NM_002612 | ?2.92 | ?3.06 | ?6.80 |
*
**Average expression levels of the four groups for the indicated genes relative to that of
Min-Ji Kim, Hoyul Lee, Dipanjan Chanda, Themis Thoudam, Hyeon-Ji Kang, Robert A. Harris,
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