Molecular pathology of cerebral TNF-α, IL-1β, iNOS and Nrf2 in forensic autopsy cases with special regard to deaths due to environmental hazards and intoxication

Metabolomic analysis of fatal hypothermia using ultra-high-performance liquid chromatography‒mass spectrometry

Introduction

The identification of fatal hypothermia remains a significant challenge in forensic medicine. Metabolomics, which reflects the overall changes in endogenous metabolites within an organism, holds substantial value in the exploration of disease mechanisms and the screening of molecular markers.

Methods

Using ultra-high-performance liquid chromatography‒mass spectrometry (UHPLC‒MS), we conducted a metabolomic analysis of serum, heart, lung, and kidney tissues from mice with fatal hypothermia.

Results

A total of 67 metabolites significantly differed across all the tissues, involving pathways such as the TCA cycle, fatty acid oxidation, arginine metabolism, histamine metabolism, and antioxidant-related pathways. Each tissue also displayed unique metabolic alterations. Additionally, we observed significant differences in the metabolomic profiles of kidney tissues from mice with different survival times.

Conclusion

Our findings contribute to elucidate the underlying mechanisms involved and provide a foundation for the forensic identification of markers of fatal hypothermia.

Estimation of the post-mortem interval: a review

Determination of the time of death and post-mortem interval (PMI) is a major task for Legal and Forensic Medicine, given the implications it entails. In this respect, depending on the proximity to the moment of death, this PMI estimation will be simpler or more complex. Traditionally, the estimation of the PMI has centred upon the analysis of corporeal rigidity, body temperature and the concentration of potassium within the vitreous humour. However, in recent years, innovative methodologies that facilitate an increasingly precise prediction of the PMI have been developed. Therefore, this article aims to compile and present a comprehensive overview of these PMI estimation techniques, in order to serve as a basic guide and reference point to understand the latest advances in this area, as well as to identify their limitations and to explore the potential future directions of this discipline.

Nrf2 expression, mitochondrial fission, and neuronal apoptosis in the prefrontal cortex of methamphetamine abusers and rats

Methamphetamine (MA), a representative amphetamine-type stimulant, is one of the most abused drugs worldwide. Studies have shown that MA-induced neurotoxicity is strongly associated with oxidative stress and apoptosis. While nuclear factor E2-related factor 2 (Nrf2), an antioxidant transcription factor, is known to exert neuroprotective effects, its role in MA-induced dopaminergic neuronal apoptosis remains incompletely understood. In the present study, we explored the effects of MA on the expression levels of Nrf2, dynamin-related protein 1 (Drp1), mitofusin 1 (Mfn1), cytochrome c oxidase (Cyt-c), and cysteine aspartate-specific protease 3 (Caspase 3), as well as the correlations between Nrf2 and mitochondrial dynamics and apoptosis. Brain tissue from MA abusers was collected during autopsy procedures. An MA-dependent rat model was also established by intraperitoneal administration of MA (10 mg/kg daily) for 28 consecutive days, followed by conditioned place preference (CPP) testing. Based on immunohistochemical staining and western blot analysis, the protein expression levels of Nrf2 and Mfn1 showed a decreasing trend, while levels of Drp1, Cyt-c, and Caspase 3 showed an increasing trend in the cerebral prefrontal cortex of both MA abusers and MA-dependent rats. Notably, the expression of Nrf2 was positively associated with the expression of Mfn1, but negatively associated with the expression levels of Drp1, Cyt-c, and Caspase 3. These findings suggest that oxidative stress and mitochondrial fission contribute to neuronal apoptosis, with Nrf2 potentially playing a critical role in MA-induced neurotoxicity.

Deltamethrin-Evoked ER Stress Promotes Neuroinflammation in the Adult Mouse Hippocampus

Endoplasmic reticulum (ER) stress and neuroinflammation are involved in the pathogenesis of many neurodegenerative disorders. Previously, we reported that exposure to pyrethroid insecticide deltamethrin causes hippocampal ER stress apoptosis, a reduction in neurogenesis, and learning deficits in adult male mice. Recently, we found that deltamethrin exposure also increases the markers of neuroinflammation in BV2 cells. Here, we investigated the potential mechanistic link between ER stress and neuroinflammation following exposure to deltamethrin. We found that repeated oral exposure to deltamethrin (3 mg/kg) for 30 days caused microglial activation and increased gene expressions and protein levels of TNF-α, IL-1β, IL-6, gp91phox, 4HNE, and iNOS in the hippocampus. These changes were preceded by the induction of ER stress as the protein levels of CHOP, ATF-4, and GRP78 were significantly increased in the hippocampus. To determine whether induction of ER stress triggers the inflammatory response, we performed an additional experiment with mouse microglial cell (MMC) line. MMCs were treated with 0-5 µM deltamethrin for 24-48 h in the presence or absence of salubrinal, a pharmacological inhibitor of the ER stress factor eIF2α. We found that salubrinal (50 µM) prevented deltamethrin-induced ER stress, as indicated by decreased levels of CHOP and ATF-4, and attenuated the levels of GSH, 4-HNE, gp91phox, iNOS, ROS, TNF-α, IL-1β, and IL-6 in MMCs. Together, these results demonstrate that exposure to deltamethrin leads to ER stress-mediated neuroinflammation, which may subsequently contribute to neurodegeneration and cognitive impairment in mice.

Methamphetamine exposure induces neuronal programmed necrosis by activating the receptor-interacting protein kinase 3 -related signalling pathway

Methamphetamine (METH) is a synthetic drug with severe neurotoxicity, however, the regulation of METH-induced neuronal programmed necrosis remains poorly understood. The aim of this study was to identify the molecular mechanisms of METH-induced neuronal programmed necrosis. We found that neuronal programmed necrosis occurred in the striatum of brain samples from human and mice that were exposed to METH. The receptor-interacting protein kinase 3 (RIP3) was highly expressed in the neurons of human and mice exposed to METH, and RIP3-silenced or RIP1-inhibited protected neurons developed neuronal programmed necrosis in vitro and in vivo following METH exposure. Moreover, the RIP1-RIP3 complex causes cell programmed necrosis by regulating mixed lineage kinase domain-like protein (MLKL)-mediated cell membrane rupture and dynamin-related protein 1 (Drp1)-mediated mitochondrial fission. Together, these data indicate that RIP3 plays an indispensable role in the mechanism of METH-induced neuronal programmed necrosis, which may represent a potential therapeutic target for METH-induced neurotoxicity.

Early postmortem interval (EPMI) estimation using differentially expressed gene transcripts

Genes differentially expressed after death were selected to construct a mathematical model for early postmortem interval estimation. Sprague Dawley rats were sacrificed and placed at temperatures of 4 °C, 15 °C, 25 °C, and 35 °C. Brain tissues were collected at 0, 6, 12, 18, and 24 h after death and total RNA was extracted. Changes in gene transcript levels after death were detected using microarray expression profiling and differentially expressed genes was screened. Expanded experiments were performed to validate gene transcript levels at different temperatures using the reverse transcription real-time quantitative polymerase chain reaction. Six genes with high coefficients of determination were chosen for construction of mathematical models. Optimal ternary cubic equations were built using R software with temperature, postmortem interval and ΔCq defined as the independent variable x, y and z, respectively. Equations were converted into a three-dimensional visual statistical model using MATLAB. Animal samples were used to validate the mathematical models. Results showed that the 5srRNA showed best stability at four temperatures. The genes Ninj2, Grifin, Arpp19, and Hopx showed high coefficients of determination (>80%) and low error (<3h) in verification experiments which indicate that they are potential markers for early postmortem interval estimation.