Forensic Science, Medicine and Pathology最新文献

Parentage testing is crucial for forensic DNA analysis, using short tandem repeats (STRs). Single nucleotide polymorphisms (SNPs) with high minor allele frequency (MAF) are promising for human identification. This study aimed to develop SNP markers for parentage testing in the Taiwanese population and compare their accuracy with STRs. The TPMv1 SNP microarray (714,457 SNPs) was used to screen 180,000 Taiwanese individuals and analyze the SNP data using PLINK. After quality control, allelic distribution, and MAF considerations, a set of SNPs with significant inheritance information was selected. Parentage testing was conducted on 355 single parent-child pairs using both STRs and SNPs, employing three kinship algorithms: identity by descent, kinship-based inference for genome-wide association studies, and the combined paternity index/probability of paternity (CPI/PP). An Affymetrix signature probe for kinship testing (ASP) was also used. Based on the quality control and selection criteria, 176 SNPs with MAF > 0.4995 were selected from the Taiwanese population. The CPI/PP results calculated using SNPs were consistent with the STR results. The accuracy of the SNPs used in the single-parent-child parentage testing was > 99.99%. The set of 176 SNPs had a higher identification rate in the single parent-child parentage test than in the ASP. The CPI/PP value calculated using 176 SNPs was also more accurate than that calculated using ASP. Our findings suggest that these 176 SNPs could be used for single-parent-child parentage identification in the Taiwanese population.

In forensic medicine, estimating the postmortem interval (PMI) is of great importance for the timeline and the reconstruction of the events surrounding death. Bone marrow (BM) is one of the largest organs in the body, with good resistance to autolysis and contamination. Therefore, the present study aims to correlate different postmortem intervals and bone marrow antioxidant enzyme levels using an Enzyme-linked immunosorbent assay (ELISA). In addition, detection of the changes in the histological structure of human bone marrow in relation to the time passed since death. BM samples from 20 forensic autopsy cadavers were obtained from cases referred to the Department of Forensic Medicine in the Ministry of Justice, Dakahlia Governorate, processed for histopathological examination as well as estimation of reduced glutathione (GSH), glutathione peroxidase (GPX), and glutathione reductase (GRX) using ELISA. Results of ELISA analysis showed a significant decrease in the level of antioxidant enzymes with increasing PMI; regarding histopathological examination, from 6 to > 18 h PMI, the changes in morphology after death were gradual, progressive, and regular, indicating great value in PMI determination. Also, 18 h of PMI showed loss of cellular details, absence of fat cells, and necrosis of BM with the nucleus dispersed as eosinophilic debris. Estimation of antioxidant enzymes level in human bone marrow using ELISA and detection of the changes in the histological structure of human bone marrow in relation to time passed since the death, either separately or in combination, can be used to estimate PMI accurately.

This commentary examines the use of artificial intelligence (AI) in forensic science, highlighting its benefits in enhancing accuracy and efficiency across a number of forensic disciplines, including medicine, anthropology, forensics, and taphonomy. However its use, also raises concerns about privacy, data protection, bias, fairness, and the reliability of AI systems. The commentary emphasises the importance of scrutiny, standardized procedures, and ongoing dialogue to ensure AI is responsibly advanced in forensic science.

The appearance of a gunshot wound (GSW) is greatly influenced by the velocity of the projectile, where high-velocity projectiles (HVPs) are defined as ballistic agents reaching a muzzle velocity of > 600 m/s fired from assault rifles. The aim of the study is to present and explain the differences in the dimensions of entrance and exit wounds between the most used handguns and assault rifles and to propose a predictor of HVP, i.e., the ratio of exit and entrance wounds (EX/ENR). The surface area of entrance and exit GSWs and the EX/ENR were calculated. 66 perforating GSWs produced by NATO FMJ 7.62 × 52 mm and 5.56 × 42 mm fired from assault rifles were assigned to the HVP, while 64 lesions produced by conventional projectiles fired from revolvers and semi-automatic pistols were assigned to the low-velocity projectile (LVP) group. The dimensions of the exit wounds of the HVP group were significantly higher when compared to the LVP group (95% CI 0.9886-2.423, p < 0.05). The HVP group showed significantly higher values for the EX/ENR when compared to the LVP group (95% CI 2.617-7.173, p < 0.05). The evaluation of the EX/ENR can be considered an adequate tool to assess the type of weapon involved and to roughly estimate the associated wounding mechanisms, which can guide both the physician in the management and treatment of the patients affected by GSW, and the forensic pathologist in crime investigation.

Saliva components combine with oral cavity microorganisms, blood cells, and airway secretions after entering the oral cavity via salivary ducts; these factors provide relevant information about persons' health state, quality of life, and lifestyle, in addition to their age and gender due to which salivary microbiome has emerged as a subject of significant interest in the forensic domain. This study aims to provide an extensive review of the possible applications of the salivary microbiome in characterizing the habit-specific microbiomes. Thirty-three relevant articles were selected for inclusion in this study. The study highlighted the influence of habits on the salivary microbiome suggesting smokers have distinct bacteria like Synergistetes, Streptococcus, Prevotella, and Veillonella in relation to age; people of higher age have more Prevotella; further, dental plaque can be corelated with Streptococci and Actinomycetes. Likewise, dietary habits, alcoholism, and consumption of coffee also affect bacteria types in oral cavities. The study underscores the added benefits of salivary microbiome profiling in forensics, as it is evident that microbial DNA profiling holds substantial promise for enhancing forensic investigations; it enables the characterization of an individual's habits, such as smoking, alcohol consumption, and dietary preferences; bacteria specific to these habits can be identified, thereby helping to narrow down the pool of potential suspects. In conclusion, the salivary microbiome presents a valuable avenue for forensic science, offering a novel approach which not only enhances the prospects of solving complex cases but also underscores the rich potential of microbiome analysis in the realm of forensic investigation.

Ethanol is the most commonly encountered substance in forensic toxicology. Determining blood alcohol concentration (BAC) in autopsies accounts for the majority of work in forensic diagnosis. The most common method to assess BAC is the enzymatic oxidation method because of its low cost, easy operation, and high throughput. Still, the elevated lactate and lactate dehydrogenase (LDH) levels in postmortem blood may affect accuracy. This study uses headspace gas chromatography with a flame ionization detector (HS-GC/FID) to assess the interference of lactate and LDH levels on BAC in 110 autopsied blood samples determined by the enzymatic oxidation method. The results showed that lactate and LDH levels in postmortem blood were higher than in normal blood. There was a weak correlation between the lactate levels and BAC difference (r = 0.23, p < 0.05) and a strong correlation between LDH levels and BAC difference (r = 0.67, p < 0.001). The differentiation of BAC between the enzymatic oxidation method and HS-GC/FID was significant (p < 0.001), confirming the interference significantly. All postmortem blood samples with lactate and LDH levels higher than regular lead to a positive error in determining BAC by enzymatic oxidation method. The study results suggest that the HS-GC/FID method should be used to determine BAC in postmortem blood samples instead of the enzymatic oxidation method to avoid mistakes in forensic diagnosis.

Aconitum species are commonly used in traditional Chinese medicine, and they have a narrow therapy window due to the possibility of aconitine poisoning. Aconitine poisoning deaths appear infrequently in forensic practice. It is important to collect valuable body samples in time due to the rapid absorption and excretion of aconitine. However, it is unknown whether postmortem samples have value for toxicological analysis if the deceased has experienced long-term treatment before death. Herein, we present a case of a woman who died after 12 days of failed active treatment for aconitine poisoning. Aconitine was detected in the liver tissue. To our knowledge, this is the first case report describing the detection of aconitine in a decedent after long-term active treatment. The findings indicated that the aconitine concentration in liver tissue can be maintained after long-term treatment; this information may therefore serve as a reference in forensic practice.

The study investigated the relationship between the histological compositions of the tricuspid, pulmonary, mitral, and aortic valves, and age. All 85 fresh human hearts were obtained with an age range between 20 and 90 years. The central area of the valves was conducted to analyze the density of collagen and elastic fibers by using an image analysis program. Neural network function in MATLAB was used for classification data and accuracy test of the age predictive model. Overall, a gradual increase in the density of collagen and elastic fibers was demonstrated with age in all valve types. The pulmonary valve cusps had the least density of collagen and elastic contents, whereas the most dense of collagen was found in the mitral leaflets. A similarity was noted for the elastic fibers in the tricuspid, mitral, and aortic valves. The highest correlation between the collagen (r = 0.629) and elastic fibers (r = 0.713) and age was found in the noncoronary cusp of the aortic valve. The established predictive equations using collagen and elastic fibers in the noncoronary cusp provided the standard error of ± 14.0 and 12.5 years, respectively. A 60.9% of accuracy was found in all age groups using collagen, while accuracy in elastic fibers showed 70.0% in the classification process using the neural networks. The current study provided additional data regarding age-associated changes of collagen and elastic fibers in the human heart valves in Thais and the benefits and application in age forensic identification.

This commentary explores the integration of artificial intelligence (AI) in forensic science and its potential implications. The applications of AI in forensic disciplines such as medicine, forensic anthropology, digital forensics, and taphonomy have enhanced the accuracy and efficiency of identification processes and the analysis of digital evidence. However, this rapid advancement prompts critical considerations in privacy, data protection, bias and fairness, and the accuracy and reliability of AI systems. The inherent challenges of the "black box" nature of AI algorithms call for transparency and accountability to maintain trust and uphold the integrity of forensic investigations. Ethical use, legal compliance, interdisciplinary collaboration, education, data integrity, standardization, human oversight, and societal impact, along with sustainability are identified as pivotal areas requiring urgent attention. The discussion underscores the need for rigorous scrutiny, standardized operating procedures, and proactive dialogue to ensure the responsible advancement of AI in forensic science.