Dental DNA Mutations Occurring after Death: A Novel Method for Post-Mortem Interval (PMI) Estimation.

Classical methods for postmortem interval (PMI) estimation have been applied for nearly a century. Contrary to the notion of being simple or easily accessible, these approaches require highly specialized training, including a medical degree, postgraduate specialization in forensic pathology, and extensive practical experience. Classical PMI estimation relies on observable physical and chemical changes in the human cadaver, such as rigor mortis, livor mortis, algor mortis, and transformative processes during decomposition. These methods are fundamental in medicolegal practice but remain largely influenced by environmental and individual variability. Recent advances in forensic research, particularly in microbiology and biochemistry, have introduced innovative approaches that complement traditional methods, offering greater accuracy and reliability, though resource-intensive. Emerging approaches leverage the predictable postmortem succession of microbial communities (thanatomicrobiome) and biochemical alterations in cadaver fluids and tissues. Techniques such as metagenomics, metatranscriptomics, and metabolomics enable detailed analysis of these changes, while computational models and machine learning further refine PMI estimates. Despite advancements, challenges persist, including variability due to environmental factors and limited access to human decomposition data. Integrating multi-omics approaches and artificial intelligence offers a path forward, addressing these limitations and enhancing the accuracy of PMI estimation. This review provides a comprehensive overview of PMI estimation, critically examining classical approaches and highlighting cutting-edge methodologies rooted in thanatomicrobiology and thanatochemistry. We emphasize the transformative potential of multi-omics integration and artificial intelligence in improving PMI accuracy. Importantly, we propose a paradigm shift: redefining PMI estimation through evidence-based, interdisciplinary research that bridges scientific rigor and judicial application. Transdisciplinary collaboration and standardized methodologies will be essential to translate emerging knowledge into robust forensic tools that serve both science and justice.

Accurate postmortem interval (PMI) estimation is critical for forensic investigations, aiding case classification and providing vital trial evidence. Early postmortem signs, such as body temperature and rigor mortis, are reliable for estimating PMI shortly after death. However, these indicators become less useful as decomposition progresses, making late-stage PMI estimation a significant challenge. Decomposition involves predictable microbial activity, which may serve as an objective criterion for PMI estimation. During decomposition, anaerobic microbes metabolize body tissues, producing gases and organic acids, leading to significant changes in skin and soil microbial communities. These shifts, especially the transition from anaerobic to aerobic microbiomes, can objectively segment decomposition into pre- and post-rupture stages according to rupture point. Microbial communities change markedly after death, with anaerobic bacteria dominating early stages and aerobic bacteria prevalent post-rupture. Different organs exhibit distinct microbial successions, providing valuable PMI insights. Alongside microbial changes, metabolic and volatile organic compound (VOC) profiles also shift, reflecting the body's biochemical environment. Due to insufficient information, unimodal models could not comprehensively reflect the PMI, so a muti-modal model should be used to estimate the PMI. Machine learning (ML) offers promising methods for integrating these multimodal data sources, enabling more accurate PMI predictions. Despite challenges such as data quality and ethical considerations, developing human-specific multimodal databases and exploring microbial-insect interactions can significantly enhance PMI estimation accuracy, advancing forensic science.

Circular RNAs (circRNAs) are conserved, abundant, stable, and specifically expressed in mammals. The postmortem interval (PMI) estimation is crucial in forensic medicine, particularly for case investigation and civil action. CircRNAs may serve as ideal PMI biomarkers. However, no research has explored PMI estimation in the brain using circRNAs. The total RNA, including circRNA, was sampled from mouse brain tissues at multiple temperatures (4℃, 25℃, and 35℃). The semi-quantitative reverse transcription (RT)-PCR and real-time quantitative PCR (RT-qPCR) were used to test the postmortem degradation levels at different PMIs. As a result, we found circFat3 is highly and specifically expressed in mouse brain tissue, with postmortem levels significantly correlated with PMI across multiple temperatures. In addition, mt-co1 and 28 S rRNA demonstrated stability under various temperature conditions, supporting their use as reliable reference genes for PMI models. Moreover, the error rates showed that the circFat3/28S rRNA model was more accurate at 4℃. The circFat3/mt-co1 and circFat3/28S rRNA models provided slightly better predictions for short-term and long-term PMI, respectively at 25℃, while the circFat3/mt-co1 model was more accurate at 35℃. The combined application of the two reference genes was beneficial primarily for long-term PMI estimation. Furthermore, the validation results confirmed that these models were more accurate for long-term PMI estimation. Thus, our mathematical models were constructed at multiple temperatures based on circFat3 and these two reference genes. Taken together, this is the first study to identify circRNA circFat3 as a novel biomarker that may serve as a complementary tool for PMI estimation.

Application of metabolomic methods to forensic studies may expand the limits of the post-mortem interval (PMI) estimation, and improve the accuracy of the estimation. To this end, it is important to determine which tissue is the most suitable for analysis, and which compounds are the most promising candidates for PMI estimation. This work is aimed at the comparison of human serum, aqueous humor (AH), and vitreous humor (VH) as perspective tissues for metabolomic-based PMI estimation, at the determination of most promising PMI biomarkers, and at the development of method of PMI estimation based on the measurement of concentrations of PMI biomarkers. Quantitative metabolomic profiling of samples of the human serum, AH, and VH taken at different PMIs has been performed with the use of NMR spectroscopy. It is found that the metabolomic changes in anatomically isolated ocular fluids are slower and smoother than that in blood. A good positive time correlation (Pearson coefficient r > 0.5) was observed for several metabolites, including hypoxanthine, choline, creatine, betaine, glutamate, and glycine. A model for PMI estimation based on concentrations of several metabolites in AH and VH is proposed. The obtained results demonstrate that the metabolomic analysis of AH and VH is more suitable for the PMI estimation than that of serum. The compounds with good positive time correlation can be considered as potential PMI biomarkers.

Postmortem interval arises one of the most important research topics in worldwide modern forensic science applications. In spite of utilizing morphological, biochemical, flow-cytometric, microbiological, entomological, anthropological, spectroscopic and main postmortem changes in postmortem interval estimation, it does not seem possible to get certain results by only one test or method. Because, there are many physical, chemical and biological processes affecting the parameters. Therefore, postmortem interval estimation needs development of previous methods and implementation of novel methods. In this regard, taphonomic methods need to be improved in postmortem interval estimation and regional factors and climate impact need to be determined by experimental studies. In particular, we are of the opinion that that more accurate estimation of postmortem interval will be achieved by determining regional factor involving postmortem period. This paper aims to evaluate the relationship between postmortem interval and accumulated degree days in respect of decomposition stages.Key Words: Forensic Taphonomy, Postmortem Interval, Forensic Anthropology

A computational approach to estimate postmortem interval using opacity development of eye for human subjects

Objectives: We provide a systematic review of the literature to evaluate the current research status of protein degradation-based postmortem interval (PMI) estimation. Special attention is paid to the applicability of the proposed approaches/methods in forensic routine practice. Method: A systematic review of the literature on protein degradation in tissues and organs of animals and humans was conducted. Therefore, we searched the scientific databases Pubmed and Ovid for publications until December 2019. Additional searches were performed in Google Scholar and the reference lists of eligible articles. Results: A total of 36 studies were included. This enabled us to consider the degradation pattern of over 130 proteins from 11 different tissues, studied with different methods including well-established and modern approaches. Although comparison between studies is complicated by the heterogeneity of study designs, tissue types, methods, proteins and outcome measurement, there is clear evidence for a high explanatory power of protein degradation analysis in forensic PMI analysis. Conclusions: Although only few approaches have yet exceeded a basic research level, the current research status provides strong evidence in favor of the applicability of a protein degradation-based PMI estimation method in routine forensic practice. Further targeted research effort towards specific aims (also addressing influencing factors and exclusion criteria), especially in human tissue will be required to obtain a robust, reliable laboratory protocol, and collect sufficient data to develop accurate multifactorial mathematical decomposition models.

It is observed that there is not enough literature to support the usefulness of dental tissue in forensic medicine for the estimation of postmortem interval (PMI). Therefore, the authors of this article have systematically reviewed the available literature to understand the most used dental tissues, the methods employed to evaluate these tissues, and their reliability in PMI estimation. A MEDLINE–PubMed search engine was used to review the literature using the keywords “teeth,” “dental tissues,” “post-mortem interval,” and “forensic dentistry” from 2001 until 2020. The most used tissue was dental pulp, but other cellular- and molecular-level dental tissues such as enamel, dentin, cementum, periodontal ligament, odontoblast, and mitochondrial and nuclear DNA and RNA were also used. Based on this observation, the authors have provided the categorical classification to evaluate these dental tissues into morphological, histopathological, and molecular-level examination to understand the reliability of these dental tissues. The molecular examinations to evaluate these tissues were widely employed and emerging in the estimation of PMI as this method could provide a reliable outcome when compared with others. Since the literature reviewed was not enough to answer our questions, however, to conclude, the dental pulp is the widely used tissue so far. Further, more studies are required to authenticate the role of other dental tissues to predict the PMI at an early stage with cost-effective and most convenient techniques.

The biochemical changes of corpse are using forthe postmortem interval (PMI) estimation, but decomposition isvaried due to many factors. Ambient temperature is believed to be the most important factor which is related tobiochemical change in the human corpse by using accumulated degree hours (ADH). The aim of this researchwas to develop exponential formula to estimate the PMI based on a potassium and ADH as the parameters. Thesecondary data analysis is conducted on 3 articles published in Thailand. The correlation data were analyzed bypotassium, ADH, and time of death in each experiment. The temperature data was provided by the ThailandMeteorology Department (TMD). These results suggested that this developed method can use for PMI estimation.The additional step, namely to calculate the ADH from the finding date back until the predicted day of death fromcase reported and TMD. The regression analysis had a high reliability. The potassium level significantly estimatesthe PMI (R2 = 0.9183, 0.8296 and 0.7142 for pig vitreous, corpse vitreous and corpse blood, respectively). Whenusing the ADH in pig vitreous, the R2 increased to 0.9931. The developed potassium regression models are apractical method to measure PMI. The PMI can be estimated using this method, but caution is advised in case witha long PMI. It can be used to estimate the mortality time of the fresh-early decomposition stage, up to 48 hours.Due to the longer mortality, there may be a gradual rate of change and samples cannot be collected.

Histological transformations of the dental pulp as possible indicator of post mortem interval: a pilot study

Forensic entomology is a crucial discipline in forensic investigations, primarily used for postmortem interval (PMI) estimation, species identification, and crime scene reconstruction. Recent advancements in molecular techniques, computational models, and climate-adaptive forensic entomology have enhanced the field's forensic applications. However, challenges related to methodological standardization, environmental variability, and legal admissibility persist. This comprehensive review examines recent developments in forensic entomology, focusing on molecular methodologies, AI-assisted species identification, and environmental influences on forensic insect succession. Literature was sourced from Scopus, Web of Science, and PubMed, emphasizing peer-reviewed studies published in the last 2 decades. Key themes include PMI estimation advancements, forensic insect ecology, and legal challenges in forensic entomology. Findings highlight improved accuracy in PMI estimation through genetic and computational approaches, the expansion of forensic molecular entomology applications, and the impact of climate change on forensic insect activity. While AI and molecular forensics have revolutionized species identification, standardization and legal frameworks remain insufficient. The study underscores the need for globally harmonized forensic entomology protocols, forensic training programs, and ethical guidelines. Future research should integrate metagenomics, forensic AI, and climate-adaptive forensic models to enhance forensic accuracy and reliability.

Accurate estimation of the post-mortem interval (PMI) remains a significant challenge in forensic investigations, particularly when conventional methods, such as body temperature, rigor mortis, and entomological analysis, are confounded by environmental variables or late-stage decomposition. The epigenetic clock concept, which assesses DNA methylation patterns at specific cytosine–phosphate–guanine (CpG) sites, has recently emerged as a promising molecular tool for PMI estimation. Originally developed to measure biological age in living individuals, models such as Horvath’s, GrimAge, and PhenoAge have shown potential in forensic contexts due to their tissue specificity and relative post-mortem stability across biological matrices, including blood, muscle, bone, and dental pulp. However, to date, the epigenetic clock concept has not been validated for PMI estimation, limiting direct forensic application. These methylation-based tools can be tested for more objective and reproducible PMI estimates, especially during early to intermediate post-mortem intervals, and can be further enhanced by integrating with protein degradation or microbiome-based analyses. However, the forensic application of the epigenetic clock concept faces multiple challenges. Post-mortem DNA degradation, particularly in tropical climates, compromises methylation signal integrity and limits the reliability of time-sensitive analyses. Most existing models are trained on living datasets and lack post-mortem calibration across diverse populations and decomposition conditions. Additional barriers include the high cost of sequencing technologies, infrastructural limitations in low-resource settings, and the absence of universally accepted forensic validation protocols. Ethical concerns regarding genetic data privacy and the legal admissibility of molecular evidence must also be addressed. Future studies should prioritise the development of forensic-specific adaptations of the epigenetic clock concept tailored to regional and environmental contexts, establish standardised protocols for PMI estimation, and promote interdisciplinary collaboration among forensic pathologists, molecular biologists, and legal authorities. With rigorous validation and ethical oversight, the epigenetic clock concept may significantly enhance the accuracy and objectivity of medico-legal death investigations.

Age determination of necrophagous flies serves as an important tool for postmortem interval (PMI) estimation in forensic investigations. Drugs or toxins in cadavers may alter the developmental time of larvae, and lead to deviation in PMI estimation. Methamphetamine (MA), as one of the most abused psychostimulant drugs in Asia and North America, is often involved in forensic entomotoxicological cases. This study investigated the effects of MA (0, 45, 90, and 180 ng/mg) on the developmental rate, morphology, and survival of Aldrichina grahami (Aldrich, 1930). The results showed that 1) the developmental time to reach the pupal instar was statistically slower for the larvae reared on rabbit mince containing MA than for the control; 2) the mean length of the larvae exposed to MA concentrations was longer than those of the control; 3) the mean weight of the pupae exposed to the highest concentration of MA was significantly lighter than those of the control; 4) the GC-MS method can detect the content of MA in A. grahami immatures and empty puparia (EP).

The decomposition of organic remains is a complex ecological process governed by intricate interactions among insects, microorganisms, and environmental factors. This review comprehensively examines the colonisation dynamics and behavioural ecology of insects associated with human cadavers and animal carcasses, emphasizing their significance in forensic investigations. Over the past two decades (2005-2025), research has advanced substantially in understanding the role of necrophagous Diptera and Coleoptera in mediating tissue breakdown and providing crucial evidence for postmortem interval (PMI) estimation. Early colonisers, such as blowflies (Calliphoridae) and flesh flies (Sarcophagidae), exhibit predictable oviposition, feeding, and breeding behaviours influenced by temperature, humidity, and habitat type. Comparative analyses reveal broad ecological similarities between human and animal decomposition but also highlight physiological and microbial differences affecting colonisation timing, volatile organic compound (VOC) emission, and insect succession. Recent studies integrating molecular diagnostics, microbial profiling, and volatile analysis have improved accuracy in species identification and PMI estimation. Furthermore, the emerging field of entomotoxicology has demonstrated the potential of insect larvae as biological indicators of drugs and toxicants in advanced decomposition. Environmental and ecological determinants-including microclimate, seasonality, soil type, and vegetation-profoundly influence decomposition trajectories and insect behaviour, particularly in tropical regions such as India. Despite these advancements, gaps persist in methodological standardization, region-specific reference datasets, and the effects of climate change on insect distribution. Future research should focus on standardized global protocols, molecular integration, and climate-adaptive forensic models to enhance precision and reproducibility. This synthesis underscores that a comprehensive understanding of insect behaviour and colonisation ecology is fundamental to modern forensic science, bridging biological theory with practical legal application.

The postmortem interval is estimated based on physical, biochemical, and morphologic changes in dead bodies, scene investigation findings, and judicial investigation findings. Many factors affect the onset and the course of the postmortem changes. There is no established method for accurate estimation of the postmortem interval, especially with regard to putrefied dead bodies. Aiming to determine the consistency and the variation of postmortem interval estimations in cases with various putrefaction degrees by forensic medicine assistants and specialists from different centers, a prospective study was undertaken. A form containing data about the time, environment, and geographical location where the cases were found, along with their postmortem changes was mailed to 110 forensic medicine assistants and specialists from different centers, who were also asked to note their postmortem interval estimations. About half of the forms were returned. Those postmortem interval estimations made based on the information included in the forms, showed great variability between the participants, and in only 6 cases a consistency exceeding 50% was found between the participants and the autopsy teams. It is not possible to estimate the postmortem interval in a standard way by using only the postmortem changes of putrefied bodies. Therefore, especially in the cases involving putrefied bodies, in addition to the postmortem changes, factors such as environmental conditions, the scene, and judicial investigation findings should be taken into consideration.