8-oxoguanine DNA glycosylase-1 may serve as biomarker of mechanical asphyxia.

AIM: To identify mtDNA and OGG1 as potential biomarker candidates for mechanical asphyxia. METHOD: The human tissues are divided into experimental group (hanging and strangulation) and control groups (hemorrhagic shock, brain injury group, and poisoning group). Detected the expression of OGG1 and integrity of mtDNA in cardiac tissue of each group. We used over-OGG1 vector and siRNA-OGG1 transfecting H9C2 cell line to observe the function of OGG1 in hypoxic cells. RESULTS: 1. mtDNA integrity decreased in the mechanical asphyxia group, OGG1 expression increased in mechanical asphyxia groups. They can be biomarkers for mechanical asphyxia. 2. OGG1 increased first and decreased in hypoxia-induced H9C2 cells. OGG1 upregulated the TFAM, NRF1, and Bcl2 in hypoxia-induced H9C2. OGG1 downregulated cleaved-Caspase3 in hypoxia-induced H9C2 cells. 3. In the normoxia condition, NAC maintained mtDNA integrity and decreased the mitochondrial membrane potential and amount of ATP. CONCLUSION: mtDNA integrity and OGG1 expression can be biomarkers for mechanical asphyxia. OGG1 can maintain mtDNA integrity and maintain the stability of the mitochondrial membrane.

LncRNA CASC2 inhibits lung adenocarcinoma progression through forming feedback loop with miR-21/p53 axis.

Lung adenocarcinoma (LUAD) is the most common type of lung cancer. Currently, the survival rate of LUAD patients remains low due to heterogeneity and high invasiveness. The long non-coding RNA (lncRNA) cancer susceptibility candidate 2 (CASC2) is reported to be related to LUAD development. Hence, we investigate the roles and regulatory mechanism of CASC2 in LUAD. The expression levels of CASC2, microRNA (miR)-21, and p53 were quantified by quantitative real-time polymerase chain reaction, and the protein levels of Bax, Bcl-2, p53, and p21 were examined using western blotting. A dual-luciferase reporter experiment was conducted to prove the molecular interactions between CASC2 and miR-21 or p53. CCK-8 and flow cytometry assays were conducted to assess cell proliferation and apoptosis, respectively. CASC2 was expressed at a low level in LUAD patients and LUAD cell lines. CASC2 overexpression markedly suppressed cell proliferation and enhanced apoptosis. Mechanistically, CASC2 overexpression dramatically inhibited miR-21 expression and increased p53 expression by directly targeting miR-21. Moreover, rescue experiments suggested that either miR-21 overexpression or p53 silencing obviously weakened the biological effects of CASC2 overexpression. In addition, p53 was proven to be an upstream transcription factor of CASC2 and can activate CASC2 transcription. These results provide evidence that the lncRNA CASC2/miR-21/p53 form a positive feedback loop to mediate cell proliferation and apoptosis in LUAD, which may provide a new insight into the pathological mechanisms of LUAD.

A multifunctional DNA nanostructure based on multicolor FRET for nuclease activity assay.

Nucleases play a crucial role in DNA replication, recombination and repair which are associated with cancers. Herein, we develop a four-color fluorescent probe for ratiometric detection of multiple nucleases. This four-color fluorescent probe consists of four fluorescent dyes connected by a DNA tetrahedral nanostructure with the involvement of multistep fluorescence resonance energy transfer (FRET). Based on the principle of self-assembly, the four-color fluorescent probe is constructed by integrating one acceptor with three spatially and spectrally distinct acceptors. A DNA tetrahedral nanostructure functions as a scaffold to link the acceptor dyes (i.e., diethylaminocoumarin (DEA), carboxyfluorescein (FAM), Texas Red, and Cy5). The fluorescence emissions of DEA, FAM, Texas Red and Cy5 can be observed through efficient multi-step energy transfer. This four-color fluorescent probe enables single excitation/four emissions, and it can be used for ratiometric detection of nucleases (i.e., XhoI, HindIII and KpnI) and the screening of nuclease inhibitors. Importantly, this four-color fluorescent probe can be further applied to discriminate multiple biomolecule targets by simply integrating the recognition sites of various biomolecules into the DNA tetrahedral nanostructure.

Estimation of the human postmortem interval using an established rat mathematical model and multi-RNA markers.

In our previous study, a R code-based mathematical model using RNA degradation patterns was developed for PMI determination in rat brain specimens. However, the postmortem changes of RNA are much more complicated in real cases, and there is still a huge challenge in efficiently applying information in animal data to real cases. In the present study, different RNA markers in both rat and human tissues were collected to screen valid biomarkers and the corresponding mathematical models were established and validated. With the same methodology, multi-RNA markers of myocardium and liver tissues were detected by qPCR and the Ct values of ten biomarkers generally increased with prolonged PMIs. 5S, miR-1 and miR-133a were shown to be optimum reference biomarkers that were not affected by a PMI of up to 5 or more days; however, liver-specific miR-122 began to degrade under higher temperatures and only 5S was selected as an endogenous control in the liver. Among the tested target RNAs, similar to our previous study in brain tissue, ß-actin (ΔCt) was found to exhibit the best correlation coefficient with PMI and was employed to build mathematical models using R software. Following validation, the relatively low estimated error demonstrated that PMIs can be accurately predicted in human cases through comprehensive consideration of various factors and using effective biomarkers.

RNA degradation as described by a mathematical model for postmortem interval determination.

Precisely determining the postmortem interval (PMI) is crucial to civil, criminal and forensic cases. A technique to exploit the postmortem RNA transcript level was developed to increase the accuracy and practicality of PMI estimation. For this purpose, lung tissues and muscle tissues were removed at twelve time points (0-144 h) from rat corpses that had been stored at three different temperatures (10, 20 and 30 °C). Human tissues were collected at autopsy from twelve real cases with known PMI values and other parameters. After the RNA was extracted from all these samples, the transcript levels of nine biomarkers were analyzed by real-time quantitative PCR (RT-qPCR). With the assistance of geNorm, miR-195, miR-200c, 5S, U6 and RPS29 were selected as reference biomarkers for lung specimens; miR-1, miR-206, 5S and RPS29 were chosen as control markers for muscle tissues. On the contrary, ACTB and GAPDH were significantly correlated with the PMI. The mathematical models using these target biomarkers were constructed to describe the characteristic relationship between △Ct values (normalized to reference biomarkers) and the observed PMI for each temperature group. Following validation, the relatively low error rates (7.4% and 12.5% for rat and human samples, respectively) demonstrated the accuracy and reliability of the mathematical model. We believe these results indicate that the multi-parametric mathematical model can become a practical tool for PMI estimation.

Epitome of China's unnatural deaths: a historically retrospective study of forensic autopsy cases in Shanghai Public Security Bureau from 1990 to 1999.

The unnatural death investigation in China seems vague to the world. Shanghai is one of the largest city located in Yangtze River Delta in the East China. This study is committed to lift the veil of unnatural death investigation and describe the epitome of China's unnatural deaths. Based on the 7302 forensic report archives from 1990 to 1999 in Shanghai Public Security Bureau, statistics were carried out in 5 areas according to the manner of death. In 3502 accidental deaths, there was a rapid increase during the 1990s, and 71.6% were involved in traffic accidents whose major cause of death was head and neck injuries. The first 3 causes of death in nontraffic accidents (994) were head and neck injuries (42.8%), poisoning (11.8%), and drowning (9.0%). In 2456 homicides, sharp force injury (36.7%), blunt force injury (35.8%), and manual strangulation (12.9%) were the first 3 causes of death. In 563 suicides, drug/chemical intoxication (40.1%), hanging (23.4%), and injuries because of fall from height (11.4%) were the 3 leading causes of death, especially pesticides ingestion. The causes of natural deaths were diseases mainly in circulatory system (23.1%), central nervous system (12.8%), and respiratory system (6.4%). However, the cause of death remained undetermined in 500 victims. Childhood fatalities were different. The victims of accidents and homicides were nearly equal, and the main cause of homicide was manual strangulation. Besides, 1997 was the landmark year when drug abuse began to emerge in Shanghai.

Postmortem interval determination using 18S-rRNA and microRNA.

The importance of determining postmortem interval (PMI) is crucial to criminal, civil and forensic cases. The precise estimation of PMI is a critical step in many death investigations. A technique exploiting the level of RNA, 18S rRNA and microRNA to estimate PMI was investigated. 18S-rRNA is a main ribosomal RNA presented as part of the ribosomal protein complex, while microRNA is a class of small non-coding single-stranded RNA, only 21-25 nucleotides, which has a strong conservation between different species. In this study, heart tissues were removed from adult rats at various postmortem intervals. An efficient extraction and detection protocol to analyze the level of 18S-rRNA and microRNA in postmortem tissue was carried out. The process consists of total RNA extraction, transcription and visualization by quantitative real time PCR. The result indicates a characteristic parabola relationship between postmortem period and Ct values for 18S-rRNA in dead rat hearts. The result indicates that the degradation pattern of tissue 18S-rRNA and microRNA is useful in the determination of the postmortem interval within seven days.

[Relationship between PMI and relative expression of myocardial various RNAs in rats died of different causes].

OBJECTIVE: To observe the changes of relative expression of myocardial various RNAs in rats died of different causes and their relationship with PMI. METHODS: The rat models were established in which the rats were sacrificed by broken neck, asphyxia, and hemorrhagic shock. Total RNAs were extracted from myocardium. The quantitative real time PCR was used to calculate threshold cycle values of RNAs including glyceraldehyde-3-phosphate dehydrogenase (GAPDH), beta-actin, inducible nitric oxide synthase (iNOS), hypoxia-inducible factor-1 (HIF-1), tumor necrosis factor-alpha (TNF-alpha), interleukin-6 (IL-6), and U6 small nuclear RNA (U6 snRNA) and to study the changes of the relative expressions of various indexes with PMI. RESULTS: U6 snRNA with stable expression level could be used as appropriate internal control. In the early PMI, the relative expression of GAPDH, HIF-1, iNOS, TNF-alpha, and IL-6 more characteristically increased in groups of asphyxia and hemorrhagic shock than in group of broken neck, but the quantity of beta-actin decreased in all groups. In the late PMI, all the relative expressions significantly declined in correlation with the degradation of RNA. CONCLUSION: The characteristic changes of each RNA expression can be used as references to estimate PMI in deaths by different causes.

Expression of Cx43-related microRNAs in patients with tetralogy of Fallot.

BACKGROUND: Abnormal expression of connexin 43 (Cx43) has been reported to play an important role in the development of conotrunccal anomalies. However, less is known about the underlying reason for its abnormal expression. MicroRNAs (miRNAs), as an important part of gene expression regulation, have been implicated in some cardiac diseases. This study aimed to investigate the expression of Cx43 and its related miRNAs in patients with tetralogy of Fallot (TOF), and illustrate the potential role of abnormal miRNAs regulation to Cx43 expression in the pathology of TOF. METHODS: Real-time polymerase chain reaction (PCR) was used to detect the expression of Cx43 and 10 Cx43-related miRNAs in the myocardium from 30 TOF patients and 10 normal controls. Immunohistochemistry was used to detect Cx43 protein expression. Putative miRNA binding sites in the 3'UTR of Cx43 were examined in 200 TOF patients and 200 healthy individuals, using Sanger sequencing, to exclude sequence variations resulting in binding difficulties of miRNAs. RESULTS: Cx43 mRNA and protein expression in the myocardium tissue was significantly increased in TOF patients. The expression of MiR-1 and 206 was significantly decreased in the TOF patients as compared with the controls (P<0.05). No obvious difference was observed in the expression of the other 7 miRNAs between the TOF patients and controls (P>0.05). No meaningful sequence variation was detected in the putative miR1/206 binding sites in the 3'UTR of Cx43. CONCLUSIONS: This study indicated that miR-1 and 206 is down-regulated in TOF patients, which may cause an up-regulation of Cx43 protein's synthesis. It provided a clue that miR-1 and 206 might be involved in the pathogenesis of TOF, additional experiments are needed to determine if in fact, miR-1 and 206 contribute substantially to TOF.

The selection of endogenous genes in human postmortem tissues.

Precisely determining the postmortem interval (PMI), which is crucial to criminal and forensic cases, is a research in which quantitative RT-PCR (also known as qRT-PCR or real-time RT-PCR) has been used to analyse gene expression levels and data normalisation should be required to eliminate the differences among the samples. Therefore, it is quite necessary to find stable molecular biological markers in PMI determination research. In this study, we compared nine commonly used endogenous markers (containing ACTB, GAPDH, B2M, U6, 18S rRNA, hsa-mir-1, hsa-mir-9, hsa-mir-194-1 and hsa-mir-203) in the 109 human tissue samples obtained from autopsy at the aim of finding stable markers in human tissues with consideration of the impact of parameters (PMI and cause of death). After RNA was extracted from four tissues (heart, brain, kidney, skin), the Ct values of nine endogenous markers were obtained by qRT-PCR and assessed by geNorm software. The results showed that U6, GAPDH and 18S rRNA were the suitable markers in our set of samples in various corpse conditions, that B2M and ACTB were reliable internal controls in heart tissue only, and that microRNAs had such high M values that they should not be chosen for endogenous control genes.

[Application of molecular autopsy in sudden death caused by inherited arrhythmia].

Sudden cardiac death (SCD) refers to sudden stop of breath and heartbeat and death within one hour caused by underlying cardiac diseases. Clinical manifestation of inherited arrhythmia is lethal arrhythmia without gross cardiac lesions, which can lead to SCD. The autopsy and pathological examination are difficult to identify the cause of death. Fatal mechanism of inherited arrhythmia is the change in the genes encoding for cardiac ion channel protein, which causes the dysfunctions of cardiac electrical activity. It is very important to detect genetic mutation by the technique of molecular biology in negative autopsy. This review presents the latest research on the relation between SCD and inherited arrhythmia, and the application of molecular autopsy used in identifying SCD due to inherited arrhythmia and its candidate gene.

[Estimation of early postmortem interval using beta-actin mRNA in rat's brain, heart and kidney].

OBJECTIVE: To explore the relationship between beta-actin mRNA degradation in SD rat's brain, heart and kidney and early postmortem interval (PMI) in order to find new markers for estimating early PMI. METHODS: Rats were sacrificed and kept in the place at a temperature of 20 degrees C. The total RNA were extracted from the brain, heart and kidney at different PMI points. Real time RT-PCR was applied to determine beta-actin mRNA levels in total RNA and the results were given in the form of Ct values. Linear relationships between PMI and Ct values were obtained and the functions of linear regression were established. RESULTS: The great decrease of beta-actin mRNA level were observed in the three organs. The degradation rate was obviously higher in 24 hours after death in the heart and kidney. However, there were no significant changes in the brain. The changes of Ct values and PMI showed a good linear relationship. CONCLUSION: beta-actin mRNA in rat's brain, heart and kidney degrades obviously after death and can be used for estimating early PMI by its degradation rules.

[Application of nucleic acids and proteins in estimation of postmortem interval].

Accurate estimation of postmortem interval (PMI) is one of the most important and difficult issues in forensic medicine. After death, the tissues autolyze and biomacromolecules degrade. DNA concentration decreases gradually with linear relationship with PMI. The housekeeping gene mRNA, for example beta-actin, GAPDH, has certain stability and can be used to PMI estimation as internal standard. This paper reviews the research progress and problems about DNA, RNA and proteins in the estimation of PMI in order to provide guidance for forensic pathology.

[Estimation of postmortem interval using microRNA and 18S rRNA degradation in rat cardiac muscle].

OBJECTIVE: To explore the relationship between the time-dependent level changes of microRNA and 18S rRNA and the different postmortem interval (PMI) in rat cardiac muscle. METHODS: SD rats were sacrificed by cervical dislocation and placed at ambient temperature 25 degrees C with a humidity of 50%. Total RNA was extracted from the rat cardiac muscle at different time points after death. The levels of miR-1-2 and 18S rRNA were examined using real-time PCR in rat cardiac muscle. The results were expressed by cycle threshold (Ct) value to explore relationship between PMI and Ct value, and the regression functions were established to estimate PMI. RESULTS: The miR-1-2 level in rat myocardial tissue showed no significant changes within 120 h after death, and then began to decline. The 18S rRNA level increased gradually within 96 h after death, and then declined slowly. The nonlinear relationships were established between Ct value (18S rRNA), deltaCt value (difference between 18S rRNA and miR-1-2) and PMI. The R2 of conics fitting were 0.9487 and 0.8072, respectively. CONCLUSION: Ct value of 18S rRNA and deltaCt value present a good correlation with PMI, and can be markers for estimating early PMI.