The decomposition of a body is inseparably associated with the release of several types of odors. This phenomenon has been used in the training of sniffer dogs for decades. The odor profile associated with decomposition consists of a range of volatile organic compounds (VOCs), chemical composition of which varies over time, temperature, environmental conditions, and the type of microorganisms, and insects colonizing the carcass. Mercaptans are responsible for the bad smell associated with corpses; however, there are no unified recommendations for conducting forensic analysis based on the detectable odor of revealed corpses and previous research on VOCs shows differing results. The aim of this review is to systematize the current knowledge on the type of volatile organic compounds related to the decomposition process, depending on a few variables. This knowledge will improve the methods of VOCs detection and analysis to be used in modern forensic diagnostics and improve the methods of training dogs for forensic applications.

Methanol poisonings caused by drinking industrial alcohol remain a severe problem worldwide. Education on types of alcohol and their harmfulness and legal regulations limiting the industrial alcohol trade seem to be the keys to reducing the number of poisonings. Methanol distribution in different tissues after absorption is not well understood. This research aimed to quantify the methanol and formic acid distribution in body fluids and tissue material in post-mortem samples collected from 19 fatal victims of massive intoxication with industrial alcohol in the Silesia Region (Poland) who died between April and June 2022. The samples were analyzed using a gas chromatography–flame ionization detector (GC-FID), and correlation coefficients for methanol and formic acid were determined. The results show a wide distribution of methanol and formic acid in human post-mortem biological fluids (blood, urine, vitreous humor, bile, and cerebrospinal fluid) and tissues (muscle, kidney, liver, spleen, lung, and brain). The strongest correlation for methanol concentration in blood and body fluids/tissues was obtained in the cerebrospinal fluid (r = 0.997) and for formic acid in muscle tissue (r = 0.931). The obtained results may be a valuable tool in toxicological analysis and improve medical standards of early diagnosis and targeted treatment.

Systemic lupus erythematosus (SLE) is a disease that significantly increases cardiovascular risk. Although cardiovascular diseases are one of the leading causes of death in SLE patients, the correlation between SLE and heart failure (HF) remains unexplored. Myocardial dysfunction in SLE patients is frequently asymptomatic or nonspecific, which makes it difficult to identify HF using standard diagnostic techniques. In addition, there are serious difficulties in its early diagnosis. In this review, we summarize the latest reports on the epidemiology of heart failure in SLE patients. Current evidence on the impact of SLE treatment on the development of HF, as well as potential risk factors that increase the risk of HF, is presented. Potential methods of treatment and early detection of HF with special attention to potential biomarkers are also provided. Further research is needed to better understand the mechanisms of the correlation between HF and SLE and to develop effective treatment strategies.

Cartilage tissue performs many functions in the human body. The diseases and injuries affecting it are prevalent due to its slow regeneration rate. However, cartilage tissue is exceptionally important for its auspicious use in forensic medicine due to its slow postmortem degradation rate. The presented review summarizes the latest research on cartilage tissues and their current and potential applications in forensic science. It also describes the most important studies on using cartilage and its microscopic and macroscopic analyses to estimate the deceased age and determine postmortem interval (PMI) values and the crime weapon. Additionally, the review describes attempts to isolate DNA from cartilage tissue for individual identification. The review also mentions recent, less abundant studies on the cartilage in forensic toxicology and genetics. It points out further directions and prospects for research development on cartilage tissue and its promising use in forensic medicine

Determining the time passing since death, also known as post-mortem interval (PMI), is one of the primary duties of forensic medicine. However, standard methods of PMI estimation only sometimes allow for accurate determination of its value because many internal and external factors influence the estimate's accuracy. In recent years, several studies have reported using molecular biology and genetics methods in PMI estimation. Due to the promising results obtained in both animal and human models, these methods can replace existing techniques in the future and allow PMI to be determined more precisely. The presented narrative review analyzes methods of molecular biology already available and used to estimate PMI, outlines the latest reports on determining PMI using molecular methods, and summarizes research on using RNA, DNA, and other biochemical molecules for PMI estimation. Moreover, the presented review indicates limitations of using molecular methods for molecular PMI estimation that need to be solved before entering forensic practice and underlines prospects for further research in this area.

Background: Frailty syndrome significantly worsens the prognosis of elderly people. Sarcopenia and malnutrition are integral parts of aging, but there is a lack of knowledge about the overlap of these states, as well as their diagnostic methods and treatments. This study aimed to assess the malnutrition and sarcopenia scale in patients with frailty syndrome and the viability of evaluating the concentrations of the following potential biomarkers: albumin, total protein, and fibrinogen. Methods: A total of 170 patients >65 years were assessed for frailty using the Fried frailty scale. The risk of sarcopenia was measured using the SARC-F scale, and the risk of malnutrition was measured using the Mini Nutritional Assessment (MNA) scale. Serum albumin, protein, and fibrinogen levels were measured. The following fat-free body mass and respiratory parameters were measured: peak expiratory flow (PEF) and forced expiratory volume-one second (FEV1). Results: A total of 53 patients were classified as robust (31%), 96 as prefrail (57%), and 21 as frail (12%) according to Fried frailty criteria. Frail patients had significantly reduced serum albumin and increased fibrinogen compared to the prefrail and robust groups (p < 0.05). A total of 38% of frail patients were at risk of sarcopenia, and 52% were at risk of malnutrition. Frail patients had lower PEF and FEV1 values, with decreases in respiratory parameters correlating with fat-free body mass and muscle strength. Conclusions: Frail patients are at substantial risk of malnutrition and sarcopenia. The MNA and SARC-F scales, combined with routine screening of elderly patients with frailty, may effectively identify patients with the highest risk.