NMNATs expression inhibition mediated NAD+ deficiency plays a critical role in doxorubicin-induced hepatotoxicity in mice.

Doxorubicin (DOX) is one of the most widely used antineoplastic drugs with known cardiotoxicity while other organ toxicity, such as hepatotoxicity is not well defined. This study was to explore the role of nicotinamide adenine dinucleotide (NAD+) in DOX-induced hepatotoxicity. DOX (20 mg/kg) induced acute liver injury and oxidative stress in C57BL/6 J mice at 48 h. Notably, the expression of nuclear factor erythroid 2-related factor 2 (Nrf2) and NAD(P)H dehydrogenase quinone 1 (NQO1) were downregulated. NAD+ deficiency was confirmed due to DOX exposure. Mechanistically, the downregulation of nicotinamide mononucleotide adenylyl transferase 1 (NMNAT1), NMNAT2 and NMNAT3, while no alteration of nicotinamide phosphoribosyl transferase was proved. As a consequence of NAD+ deficiency, the expression of poly-ADP-ribose polymerase1 (PARP1), CD38 and Sirtuin1 (SIRT1) were reduced. Furthermore, supplementation of NAD+ (200 mg/kg/day) or its precursor nicotinamide mononucleotide (NMN) (500 mg/kg/day) alleviated liver injury, attenuated oxidative stress, and elevated the downregulation of Nrf2 and NQO1. More importantly, compromised expression of NMNAT1-3, PARP1, CD38 and SIRT1 were improved by NAD+ and NMN. In conclusion, NAD+ deficiency due to NMNATs expression inhibition may attribute to the pathogenesis of DOX-induced hepatotoxicity, thus providing new insights for mitigating DOX side effects.

A case of death after the severing three appendiceal arteries during appendectomy.

INTRODUCTION: Acute appendicitis is one of the most common acute abdominal issues requiring surgery and is usually treated by appendectomy. During the process of removing the appendix, the appendiceal artery is severed. In most individuals, the appendix is supplied by only one appendiceal artery. CASE PRESENTATION: A 50-year-old man underwent appendectomy. During the surgical procedure, the appendix artery and two accessory arteries of the appendix were severed, leading to massive hemorrhaging in the abdominal cavity, which ultimately resulted in the patient's unfortunate demise. CONCLUSION: Through this case, we hope that surgeons can learn more about the anatomy of the appendiceal artery and understand the possibility of accessory arteries to the appendix. During surgery, the blood vessels supplying the appendix should be carefully explored, and the "one-size-fits-all approach" should be avoided. Moreover, attention should be given to complications after appendectomy, and timely symptomatic treatment should be provided. Key points 1. Rare typing: The case of death due to improper handling of the accessory appendicular artery during appendectomy in patients with three appendiceal arteries is currently unreported. 2. Detailed anatomical knowledge: Surgeons performing an appendectomy need to make a detailed exploration of the blood vessel supply of the appendix to avoid ignoring anatomically different blood vessels. 3. Avoid a one-size-fits-all approach: In the surgical process, a "one-size-fits-all" approach should be avoided, that is, the same surgical approach should not be used in all cases, but should be adjusted according to the anatomical characteristics of the individual. 4. Observation of postoperative bleeding: In the perioperative period, peritoneal drainage should be closely observed. If a large amount of bloody fluid is found, timely surgical treatment should be carried out. 5. Attention to complications: Surgeons should pay.

Insight into the underlying molecular mechanism of dilated cardiomyopathy through integrative analysis of data mining, iTRAQ-PRM proteomics and bioinformatics.

BACKGROUND: DCM is a common cardiomyopathy worldwide, which is characterized by ventricular dilatation and systolic dysfunction. DCM is one of the most widespread diseases contributing to sudden death and heart failure. However, our understanding of its molecular mechanisms is limited because of its etiology and underlying mechanisms. Hence, this study explored the underlying molecular mechanism of dilated cardiomyopathy through integrative analysis of data mining, iTRAQ-PRM proteomics and bioinformatics METHODS: DCM target genes were downloaded from the public databases. Next, DCM was induced in 20 rats by 8 weeks doxorubicin treatment (2.5 mg/kg/week). We applied isobaric tags for a relative and absolute quantification (iTRAQ) coupled with proteomics approach to identify differentially expressed proteins (DEPs) in myocardial tissue. After association analysis of the DEPs and the key target genes, subsequent analyses, including functional annotation, pathway enrichment, validation, were performed. RESULTS: Nine hundred thirty-five genes were identified as key target genes from public databases. Meanwhile, a total of 782 DEPs, including 348 up-regulated and 434 down-regulated proteins, were identified in our animal experiment. The functional annotation of these DEPs revealed complicated molecular mechanisms including TCA cycle, Oxidative phosphorylation, Cardiac muscle contraction. Moreover, the DEPs were analyzed for association with the key target genes screened in the public dataset. We further determined the importance of these three pathways. CONCLUSION: Our results demonstrate that TCA cycle, Oxidative phosphorylation, Cardiac muscle contraction played important roles in the detailed molecular mechanisms of DCM.

iTRAQ and PRM-Based Comparative Proteomic Profiling of the Hippocampus in Rat Models of Epilepsy.

BACKGROUND: Epilepsy is a disease caused by paroxysmal abnormal supersynchronous electrical activity of brain neurons, and it is also one of the most common illnesses in neurology. Among the causes, hippocampal sclerosis may be one of the main causes of temporal lobe epilepsy. However, the pathogenesis of hippocampal sclerosis in epilepsy remains unclear. METHODS: We established an epilepsy model by intraperitoneal injection of pentetrazol (PTZ) into Sprague-Dawley rats, and applied isobaric tags for relative and absolute quantitation (iTRAQ) technology to identify differentially expressed proteins (DEPs) in the hippocampus. We quantified a total of 3782 proteins. DEPs were defined as proteins with a fold change >1.2 (or <0.83) and a Q value (p-adjusted) <0.05. RESULTS: Comparing the epilepsy group and the control group, we identified 170 DEPs, comprising 109 upregulated and 61 downregulated proteins. According to bioinformatics analysis, the DEPs were primarily involved in long-term potentiation, the calcium signalling pathway, aldosterone synthesis and secretion, carbon metabolism, and dopaminergic synapses. Four of these proteins were validated using parallel reaction monitoring (PRM), including Glud1, Atp1a2, Prkcg and Arpc3. CONCLUSIONS: Our research results may provide further insight into the molecular pathology of hippocampal injury in epilepsy.

Case report: sudden death following the administration of CAR-NK cells for lung cancer immunotherapy.

Lung cancer is a high degree of malignancy. Although surgery, radiotherapy, and chemotherapy have made significant progress and become general methods of clinical treatment, the overall survival rate is still low. In recent years, targeted therapy and immunotherapy have a rapid development in the clinical treatment of tumors. Among them, natural killer (NK) cells have the advantages of rapid killing of diseased cells and low risk of graft-versus-host reaction. It is considered a great vector for chimeric antigen receptors (CARs), making them have good application prospects in tumor immunotherapy. However, its clinical application in lung cancer needs further research. Herein, we reported a case of a lung cancer patient undergoing CAR-NK cell immunotherapy after resection, which caused a cytokine storm and sudden death after the fourth treatment. This case report provides a reference for the forensic examination of cadavers that died after immunotherapy and challenges the clinical application of cell immunotherapy.

Ferrostatin­1 alleviates liver injury via decreasing ferroptosis following ricin toxin poisoning in rat.

Ricin is a highly toxic plant toxin that can cause multi-organ failure, especially liver dysfunction, and is a potential bioterrorism agent. Despite the serious public health challenge posed by ricin, effective therapeutic for ricin-induced poisoning is currently unavailable. Therefore, it is important to explore the mechanism of ricin poisoning and develop appropriate treatment protocols accordingly. Previous studies have shown that lipid peroxidation and iron accumulation are associated with ricin poisoning. Ferroptosis is an iron-dependent form of cell death caused by excessive accumulation of lipid peroxide. The role and mechanism of ferroptosis in ricin poisoning are unclear and require further study. We investigated the effect of ferroptosis on ricin-induced liver injury and further elucidated the mechanism. The results showed that ferroptosis occurred in the liver of ricin-intoxicated rats, and Ferrostatin­1 could ameliorate hepatic ferroptosis and thus liver injury. Ricin induced liver injury by decreasing hepatic reduced glutathione and the protein level of glutathione peroxidase 4 and Solute Carrier Family 7 Member 11, increasing iron, malondialdehyde and reactive oxygen species, and mitochondrial damage, whereas Ferrostatin­1 pretreatment increased hepatic reduced glutathione and the protein level of glutathione peroxidase 4 and Solute Carrier Family 7 Member 11, decreased iron, malondialdehyde, and reactive oxygen species, and ameliorated mitochondrial damage, thereby alleviated liver injury. These results suggested that ferroptosis exacerbated liver injury after ricin poisoning and that inhibition of ferroptosis may be a novel strategy for the treatment of ricin poisoning.

Ante- and Post-Mortem Fracture Identification Protocol Based on Low- and High-Level Fusion Using Fourier Transform Infrared Spectroscopy and Raman Spectroscopy Association.

In this study, the application of low-level fusion (LLF) and high-level fusion (HLF) strategies using a combination of Fourier transform infrared spectroscopy (FT-IR) and Raman spectroscopy in the identification of antemortem and postmortem fracture at different postmortem intervals (PMIs) was investigated. On a technical level, the same hard tissue sample can be detected using a mix of FT-IR and Raman techniques. At the method level, two cutting-edge chemometrics approaches (LLF and HLF) combining FT-IR and Raman spectroscopic data are explored. The models were ranked in accordance with their parametric quality as follows: HLF and LLF + HLF models > LLF single model > Raman single model > FT-IR single model. The LLF model performed marginally better than the Raman model, however, when compared to other models, the HLF model performed considerably better. The HLF model achieved the best performance, with both cross-validation accuracy and test data set accuracy of 0.88. The importance of the feature wavelengths in the model construction process was subsequently evaluated by intersection fusion, and it was found that the absorbance bands of amide I, PO43- ν1 ν3, and CH2 in FT-IR and phenylalanine, CO32- ν1- PO43- ν3, and amide III in Raman have outstanding contributions to the construction of antemortem and postmortem fractures identification models. Overall, the combination of FT-IR and Raman with the HLF strategy is a novel and promising approach for developing antemortem and postmortem fracture identification models at different PMIs.

A novel approach to the cause of death identification-multi-strategy integration of multi-organ FTIR spectroscopy information using machine learning.

Identifying the cause of death has always been a major focus and challenge in forensic practice and research. Traditional techniques for determining the causes of death are time-consuming, labor-intensive, have high professional barriers, and are vulnerable to significant subjective bias. Additionally, most current studies on causes of death are limited to specific organs and single causes. To overcome these challenges, this study utilized simple and rapid fourier transform infrared spectroscopy (FTIR) detection technology, integrating data from six organs-heart, liver, spleen, lung, kidney, and brain. The optimum model for identifying seven different causes of death was determined by evaluating the performance of models developed using the model efficiencies of single-organ (SO), single-organ model fusion (SOMF), multi-organ data fusion (MODF), and multi-organ data model fusion (MODMF) modeling methods. Considering factors such as operational costs, model performance, and model complexity, the MODF artificial neural network (ANN) model was found to be the most suitable choice for constructing a cause of death identification model, with a cross-validation mean accuracy of 0.960 and a test set accuracy of 0.952. The heart and kidney contributed more spectral features to the construction of the cause of death identification model compared to other organs. This study not only demonstrated that data fusion and model fusion are effective strategies for improving model performance but also provided a comprehensive data analysis framework and process for modeling with small sample multi-modal data (multiple organ data). In conclusion, by exploring various approaches, this study offers new solutions for identifying the cause of death.

Heatstroke death identification using ATR-FTIR spectroscopy combined with a novel multi-organ machine learning approach.

With global warming, the number of deaths due to heatstroke has drastically increased. Nevertheless, there are still difficulties with the forensic assessment of heatstroke deaths, including the absence of particular organ pathological abnormalities and obvious traces of artificial subjective assessment. Thus, determining the cause of death for heatstroke has become a challenging task in forensic practice. In this study, hematoxylin-eosin (HE) staining, attenuated total reflection-Fourier transform infrared spectroscopy (ATR-FTIR), and machine learning algorithms were utilized to screen the target organs of heatstroke and generate a multi-organ combination identification model of the cause of death. The hypothalamus (HY), hippocampus (HI), lung, and spleen are thought to be the target organs among the ten organs in relation to heatstroke death. Subsequently, the single-organ and multi-organ combined models were established, and it was found that the multi-organ combined approach yielded the most precise model, with a cross-validation accuracy of 1 and a test-set accuracy of 0.95. Additionally, the primary absorption peaks in the spectrum that differentiate heatstroke from other common causes of death are found in Amide I, Amide II, δ CH2, and vas PO2- in HI, δ CH2, vs PO2-, v C-O, and vs C-N+-C in HY, Amide I, δ CH2, vs COO-, and Amide III in lung, Amide I and Amide II in spleen, respectively. Overall, this research offers a novel technical approach for determining the heatstroke death as well as crucial evidence for judicial identification.

Identification of differentially expressed proteins in heart of mouse death from smother based on label-free proteomics.

Identification of mechanical asphyxia deaths without obvious injuries is a difficult problem for forensic medicine. This study aimed to identify molecular biological markers to predict death from mechanical asphyxia (smother). We established a smother model of mice by over the head with plastic bag tightly until the mice died and applied label-free proteomic technology to identify differentially expressed proteins (DEPs) in heart. A total of 3307 proteins were quantified, and a Fold Change (FC) > 1.2 (or <1/1.2) and Q value < 0.05 were considered as DEPs. Through comparative analysis, we identified 606 DEPs compared to the control group, comprising 219 upregulated and 387 downregulated proteins. Bioinformatics analysis (MCODE analysis) showed that the candidate proteins were mainly involved in regulation of ribosome function, myocardial contraction and calcium regulation, regulation of coagulation and regulation of mitochondrial oxidative respiration. Seven of these proteins were validated using parallel reaction monitoring (PRM), including fibrinogen alpha chain (FIBA), fibrinogen gamma chain (FIBG), Calsequestrin-2 (CASQ2), NADH dehydrogenase [ubiquinone] 1 alpha subcomplex subunit 11 (NDUAB), NADH dehydrogenase [ubiquinone] 1 alpha subcomplex subunit 3 (NDUA3), NADH dehydrogenase [ubiquinone] 1 alpha subcomplex subunit 13 (NDUAD) and Rab7 (RAB7A). CASQ2 and FIBG were further validated by immunohistochemistry. In conclusion, our results may provide some auxiliary indices for identifying the death from mechanical asphyxia.

Biochemical Toxicological Study of Insulin Overdose in Rats: A Forensic Perspective.

Due to nonspecific pathological changes and the rapid degradation of insulin in postmortem blood samples, the identification of the cause of death during insulin overdose has always been a difficulty in forensic medicine. At present, there is a lack of studies on the toxicological changes and related mechanisms of an insulin overdose, and the specific molecular markers of insulin overdose are still unclear. In this study, an animal model of insulin overdose was established, and 24 SD rats were randomly divided into a control group, insulin overdose group, and a recovery group (n = 8). We detected the biochemical changes and analyzed the toxicological mechanism of an insulin overdose. The results showed that after insulin overdose, the rats developed irregular convulsions, Eclampsia, Opisthotonos, and other symptoms. The levels of glucose, glycogen, and C-peptide in the body decreased significantly, while the levels of lactate, insulin, and glucagon increased significantly. The decrease in plasma K+ was accompanied by the increase in skeletal muscle K+. The PI3K-AKT signaling pathway was significantly activated in skeletal muscle, and the translocation of GLUT4/Na+-K+-ATPase to sarcolemma was significantly increased. Rare glycogenic hepatopathy occurred in the recovery group after insulin overdose. Our study showed that insulin overdose also plays a role in skeletal muscle cells, mainly through the PI3K-Akt signaling pathway. Therefore, the detection of signaling pathway proteins of the skeletal muscle cell membrane GLUT4 and Na+-K+-ATPase has a certain auxiliary diagnostic value for forensic insulin overdose identification. Glycogen detection in the liver and skeletal muscle is important for the diagnosis of insulin overdose, but it still needs to be differentiated from other causes of death. Skeletal muscle has great potential for insulin detection, and the ratio of insulin to the C-peptide (I:C) can determine whether an exogenous insulin overdose is present.

Chronological Age Estimation of Male Occipital Bone Based on FTIR and Raman Microspectroscopy.

Age-related changes in bone tissue have always been an important part of bone research, and age estimation is also of great significance in forensic work. In our study, FTIR and Raman microspectroscopy were combined to explore the structural and chronological age-related changes in the occipital bones of 40 male donors. The FTIR micro-ATR mode not only achieves the comparison of FTIR and Raman efficiency but also provides a new pattern for the joint detection of FTIR and Raman in hard tissue. Statistical analysis and PCA results revealed that the structure had little effect on the FTIR and Raman results. The FTIR and Raman mineral/matrix ratio, carbonate/phosphate ratio, crystallinity, and collagen maturity of the whole showed an increasing trend during maturation, and a significant correlation was found between FTIR and Raman by comparing four outcomes. Furthermore, the results indicated that the cutoff point of the change in the relative proportion of organic matrix and inorganic minerals in males was between 19 and 35 years old, and the changes in the relative proportion of organic matrix and inorganic minerals may play a key role in age estimation. Ultimately, we established age estimation regression models. The FTIR GA-PLS regression model has the best performance and is more suitable for our experiment (RMSECV = 10.405, RMSEP = 9.2654, R 2CV = 0.814, and R 2Pred = 0.828). Overall, FTIR and Raman combined with chemometrics are an ideal method to estimate chronological age based on age-dependent component changes in male occipital bones. Our experiment provides a proof of concept and potential experimental method for chronological age estimation.

Significance of detecting postmortem serum IgE in frozen corpses for the diagnosis of anaphylaxis in forensic.

The aim of this study was to detect the postmortem serum total IgE levels in frozen corpses and identify whether the death incident caused by an anaphylaxis in forensic medicine. Autopsy cases with pathological death (total, n = 106; 4-214 h postmortem) include cardiac disease (n = 15), pulmonary infection (n = 12), central nervous system disorder (n = 6), pulmonary emboliszn (n = 7), hapetic disease (n = 5), kidney disease (n = 6), enteric disease (n = 10), necrotizing pancreatitis (n = 7), diffuse peritonitis (n = 6), MODS (n = 6), toxicosis (n = 5:), anaphylactic shock (n = 7), bronchial asthma (n = 8) and other disease (n = 6) were examined. Results showed that there was no significant difference between serum IgE levels and ages, postmortem intervals (PMIs), gender as well as survival time. Serum IgE levels of deaths due to anaphylactic shock and bronchial asthma were higher than that of other groups. Forensic pathology examination results showed the main pathology changes of bronchial asthma were mucous congestion in bronchial lumen and eosinophils infiltration in bronchial mucosa. The main pathological features of anaphylactic shock were laryngeal edema and eosinophils infiltration in multiple organs (lung and spleen). This research proved that there was a great significance for IgE to infer whether the individual died due to an anaphylaxis even for a long PMI in frozen corpses. Furthermore, we can also preliminarily determine the type of allergic death combined with the examination of forensic pathology. These findings further verify the feasibility of postmortem serum IgE in the diagnosis of forensic causes of death and broaden the application scope of this marker.

Investigating the forensic pathological characteristics of systemic vasculitis: A retrospective study of 20 deaths caused by systemic vasculitis.

Systemic vasculitis (SV) is a condition characterized by vascular inflammatory disease that often involves the medium and small arteries of various organs throughout the body. SV is difficult to diagnose due to the diversity of clinical symptoms and manifestations, and only tissue biopsy is of great significance. Even so, complications or secondary lesions of SV can also lead to death. In forensic medicine, we can often observe multiple vasculitis in histological observations, which is easily overlooked as a primary cause of death in the final diagnosis. Twenty SV cases were registered in our institution from a total of 1088 completed autopsies, which represents 1.83% of the total autopsies. The ages of these 20 SV patients ranged from 16 to 73 years, and the mean age was 41.1 ± 15.9 years. SV usually involves multiple organs, such as the heart, lung, liver, kidney, gastrointestinal system and brain, simultaneously. The intensity of the lesions in the heart and kidney seemed to be more severe than the lesion intensity in other organs in most cases. The causes of death were identified as acute myocarditis (8 cases), acute heart failure (3 cases), cerebral artery rupture (3 cases), cardiovascular artery rupture (2 cases), acute interstitial pneumonia (2 cases), aortic aneurysm rupture (1 case) and acute renal failure (1 case). The typical histopathological changes (smooth muscle degeneration, fibrinoid necrosis, inflammatory cell infiltration and microthrombosis) of arteries observed in this study were of great significance for diagnosing SV. In this article, we try to analyse and summarize the lesion characteristics in cases of death caused by SV in order to provide some help for forensic workers in identifying such cases.