Proper joint function has a significant impact on people’s quality of life. Joints are the point of connection between two or more bones and consist of at least three elements: joint surfaces, the joint capsule, and the joint cavity. Joint diseases are a serious social problem. Risk factors for the development of these diseases include overweight and obesity, gender, and intestinal microbiome disorders. Another factor that is considered to influence joint diseases is trace elements. Under normal conditions, elements such as iron (Fe), copper (Cu), cobalt (Co), iodine (I), manganese (Mn), zinc (Zn), silver (Ag), cadmium (Cd), mercury (Hg), lead (Pb), nickel (Ni) selenium (Se), boron (B), and silicon (Si) are part of enzymes involved in reactions that determine the proper functioning of cells, regulate redox metabolism, and determine the maturation of cells that build joint components. However, when the normal concentration of the above-mentioned elements is disturbed and toxic elements are present, dangerous joint diseases can develop. In this article, we focus on the role of trace elements in joint function. We describe the molecular mechanisms that explain their interaction with chondrocytes, osteocytes, osteoblasts, osteoclasts, and synoviocytes, as well as their proliferation, apoptosis, and extracellular matrix synthesis. We also focus on the role of these trace elements in the pathogenesis of joint diseases: rheumatoid arthritis (RA), osteoarthritis (OA), psoriatic arthritis (PsA), ankylosing spondylitis (AS), and systemic lupus erythematosus (SLE). We describe the roles of increased or decreased concentrations of individual elements in the pathogenesis and development of joint diseases and their impact on inflammation and disease progression, referring to molecular mechanisms. We also discuss their potential application in the treatment of joint diseases.

Background: Free fatal falls (FFF) represent a distinct form of blunt force trauma (BFT) that is frequently encountered in forensic practice. Distinguishing FFF injuries from other forms of BFT, such as motor vehicle accidents (MVAs), can pose challenges. Despite its growing usage, the role of postmortem computed tomography (PMCT) in diagnosing FFF and its comparison with autopsy remains underexplored. Purpose: This review synthesizes fracture patterns in FFF, examining both extrinsic and intrinsic variables that influence skeletal injuries. It also compares PMCT and autopsy findings to establish a replicable database for forensic analysis. Methods: PubMed and Google Scholar were systematically searched by three independent reviewers. The inclusion criteria required studies to be published in English, report at least 10 cases, focus on fatal falls, and provide precise data on skeletal injuries. Studies lacking detailed descriptions, focusing on survivors, or involving non-free falls were excluded. Data extraction tables facilitated synthesis and analysis. Key Findings: FFF are characterized mainly by axial skeletal fractures, particularly of the chest, skull, and pelvis. A history of intoxication and psychiatric disorders often correlates with the manner of death. Fracture patterns vary by fall height, impact surface, and cause: accidental falls show greater chest and skull involvement, whereas suicidal falls present more pelvic and skull fractures. PMCT detects fractures more frequently than traditional autopsy. Conclusions: Distinct fracture patterns aid in differentiating suicidal from accidental FFF, shaped by extrinsic and intrinsic factors. Given its superior fracture detection capabilities, PMCT should be integrated into forensic protocols for FFF investigations.

Background: Free fatal falls (FFF) are a frequent occurrence in forensic medicine. Many variables, such as the victim’s sex, BMI, intoxication, height of the fall, and mental illness, can influence injury patterns. Previous studies identified fracture patterns and frequencies mostly with general anatomical detail, focusing on broad areas. As specific fractures might be roots for new statistical connections, this leaves a gap in our understanding. Using postmortem computed tomography, we aim to establish fracture frequencies and identify possible new statistical connections. Methods: In total, we retrospectively analyzed seventy-nine cases of confirmed deaths due to falls using the database of the Department and Institute of Forensic Medicine in Lublin. Our inclusion criteria were death due to free fall onto hard, non-deformable surfaces. We excluded cases of ground-level falls. All victims must have undergone postmortem computed tomography. Furthermore, each analyzed case documented individual intrinsic variables (sex, age, body mass, height, pre-existing mental conditions, and drug or alcohol use) and extrinsic variables (fall height, landing surface, time between the fall and death, and known cause of the fall). Results: Injuries in free fatal falls tend to focus on the axial skeleton. Suicides experience more severe, bilateral fractures, often involving the pelvis and limbs, while accidents tend to have unilateral injuries with rare limb involvement. We established new correlations with the height of the fall for the maxilla, mandible, anterior and posterior regions of the occipital bone, and the temporal bone. Moreover, our research confirmed previously noted correlations between the height of the fall and fractures of the limbs (and their individual bones), the lumbar vertebrae, and the chest. Conclusions: Our findings highlight that free fatal falls are characterized by distinct skeletal injury patterns that differ between accidents and suicides, with bilateral pelvic and limb fractures being particularly indicative of intentional falls. The integration of PMCT with autopsy improves the detection of these patterns. It provides valuable diagnostic and medico-legal insights, supporting a more precise determination of the cause and manner of death.

Background: Composite immunonutritional biomarkers reflecting systemic inflammation, nutritional status, and immune competence have emerged as promising tools for perioperative risk stratification in colorectal cancer (CRC). However, their prognostic value during the perioperative period following minimally invasive CRC surgery remains unresolved. This study aimed to evaluate the association between perioperative inflammatory biomarkers, including the neutrophil-to-lymphocyte ratio (NLR), hemoglobin–albumin–lymphocyte–platelet (HALP) score, and Host Index (H-index), and short-term postoperative outcomes after minimally invasive colorectal cancer surgery. Methods: This retrospective single-center study included 105 patients who underwent minimally invasive curative-intent surgery for CRC between 2023 and 2025. Biomarkers were assessed preoperatively and during the first four postoperative days. Severe postoperative morbidity was defined as a Comprehensive Complication Index (CCI) ≥ 20.9. Results: Among all parameters, NLR measured on postoperative day 3 demonstrated the highest apparent discriminatory ability for severe complications (AUC = 0.87, 95% CI: 0.74–0.95; sensitivity 91.7%; specificity 73.7%). Preoperative HALP was the most informative preoperative marker (AUC = 0.78, 95% CI: 0.66–0.87; sensitivity 76.5%; specificity 87.7%). Conclusions: Perioperative inflammatory and immunonutritional biomarkers are associated with postoperative morbidity following CRC surgery. Preoperative HALP and postoperative day 3 NLR demonstrated the strongest apparent discrimination for CCI ≥ 20.9; however, these findings require confirmation in larger, independent prospective cohorts.

Background: Minimally invasive surgery is the standard approach in colorectal cancer (CRC), yet the clinical value of robotic-assisted surgery (RAS) compared with laparoscopy remains under debate. This study aimed to compare surgical quality using textbook outcome (TO) and textbook oncological outcome (TOO) in patients undergoing minimally invasive resection for locally advanced CRC. Methods: A retrospective analysis of patients with locally advanced CRC (cT2-4N0-2M0) treated in a high-volume centre was performed. Patients undergoing laparoscopic or robotic surgery were included. Propensity score matching (PSM) was applied to balance baseline characteristics. TO was defined as an optimal perioperative course without complications, conversion, reintervention, prolonged length of stay, or mortality. TOO extended TO by including oncological parameters such as R0 resection and adequate lymph node yield. Results: A total of 123 patients were included (80 laparoscopic, 43 robotic), with 80 patients analyzed after PSM (40 per group). RAS was associated with significantly higher rates of intracorporeal (97% vs. 18.9%) and mechanical anastomoses (96.9% vs. 48.6%). No differences were observed in postoperative complications, reintervention rates, length of stay, or mortality. Although the comprehensive complication index was lower in the robotic group, this did not translate into improved TO or TOO rates. After matching, TO was achieved in 72.5% of RAS and 85.0% of laparoscopic cases (p = 0.1745), while TOO rates were also comparable between groups. No independent predictors of TO or TOO were identified in multivariable analysis. Conclusions: Robotic surgery for locally advanced CRC provides comparable perioperative safety and oncological quality to laparoscopy. The implementation of RAS in a high-volume centre does not compromise short-term outcomes, supporting its safe integration into clinical practice.

The pancreas is an organ with two functions: endocrine and exocrine. The proper functioning of the pancreas depends on many factors. One of these is trace elements—precise control of trace element homeostasis is important for both the endocrine and exocrine parts. This review provides a comprehensive summary of current knowledge regarding the role of trace elements: iron (Fe), copper (Cu), cobalt (Co), iodine (I), manganese (Mn), zinc (Zn), silver (Ag), cadmium (Cd), mercury (Hg), lead (Pb), and selenium (Se) in pancreatic physiology and their influence on the pathogenesis of key diseases of this organ, such as diabetes (DM), acute (AP) and chronic pancreatitis (CP), autoimmune pancreatitis (AIP), and pancreatic cancer (PC). Trace elements, including Fe, Cu, Zn, Se, and Mn, play a fundamental role in maintaining endocrine and exocrine homeostasis, participating in insulin synthesis, stabilizing digestive enzymes, and the functioning of antioxidant systems. It has been demonstrated that disturbances in their concentrations lead to the activation of pathological molecular pathways, including oxidative stress, chronic inflammation, and beta-cell apoptosis. In the context of diabetes, excess Fe promotes ferroptosis, whilst exposure to heavy metals such as Cd, Pb, and Hg induces insulin resistance and pancreatic islet dysfunction. In the course of pancreatitis, elements such as Zn and Se exhibit protective potential by stabilizing tissue barriers, whereas toxic metals impair ion transport, exacerbating fibrotic processes. Furthermore, analysis of available data indicates a significant association between heavy metal accumulation and pancreatic carcinogenesis, driven by DNA damage and oncogene modulation. Understanding pancreatic metallomics opens new prospects for early diagnosis, environmental prevention, and the development of targeted therapeutic strategies that restore the body’s micronutrient balance.