Microbial communities, demonstrating dynamic changes in cadavers and the surroundings, provide invaluable insights for forensic investigations. Conventional methodologies for microbiome sequencing data analysis face obstacles due to subjectivity and inefficiency. Artificial Intelligence (AI) presents an efficient and accurate tool, with the ability to autonomously process and analyze high-throughput data, and assimilate multi-omics data, encompassing metagenomics, transcriptomics, and proteomics. This facilitates accurate and efficient estimation of the postmortem interval (PMI), detection of crime location, and elucidation of microbial functionalities. This review presents an overview of microorganisms from cadavers and crime scenes, emphasizes the importance of microbiome, and summarizes the application of AI in high-throughput microbiome data processing in forensic microbiology.

Objective: To report a case of afatinib-induced toxic epidermal necrosis (TEN), in a patient with metastatic non-small cell lung cancer (NSCLC) and compare these findings with that of evaluate similarities and differences to other cases reported in the literature.Methods: With use of the algorithm of drug causality for epidermal necrolysis (ALDEN), the effects of afatinib were evaluated in a NSCLC patient who developed TEN. In addition, previous case reports on this topic were included to provide a review of patients’ clinical characteristics, treatment regimens and therapy outcomes in response to afatinib treatment.Results: In our case, toxic epidermal necrolysis was observed at five days after afatinib therapy, while other Stevens-Johnson syndrome/toxic epidermal necrolysis responses, as associated with afatinib, did not seem to be induced until a latency period of over thirty days post-afatinib. Treatment with corticosteroids resulted in significant improvements of these clinical symptoms, and eventually to a complete remission.Conclusion: Afatinib can result in grade four cutaneous adverse effects like SJS/TEN, with an uncertain latency period. The skin lesions which appear during this period of afatinib treatment should be closely monitored.

Glomus Tumor (GT) are benign neoplasms that originate from mesenchymal cells. It presents as tenderness and cold allodynia in the digits, especially in the subungual region. There are a few studies that investigated the mechanism of pain. To analyze the clinical-pathologic characteristics of GT and to identify the expression of IL-1β, IL-6, and CGRP in it, further, to explore the possible mechanism of pain. The clinical and pathological data of 60 GT patients were retrospectively analyzed. Tissue microarrays and immunohistochemistry were used to measure the expression of IL-1β, IL-6 and CGRP. GT is more common in females and the ratio of male to was near to 1:2, mostly in middle-aged people. It often occurs in fingertips, especially the thumbs. Patients often present with spontaneous pain, tenderness, and cold hypersensitivity. Both the two pain mediators IL-1β and IL-6 were highly expressed in GT cells of patients with and without cold hypersensitivity. While CGRP was not expressed in GT. Low sample size and further research is needed to explore the specific mechanism. IL-1β and IL-6 were highly expressed in GT cells, suggesting that IL-1β and IL-6 have certain nociceptive roles in GT. In the 4 patients with cold intolerance, the intensity of IL-1β and IL-6 staining was also strong, suggesting that they may not play a role in the cold hypersensitivity. However, since there are only 4 patients with cold intolerance, it's necessary to conduct further in-depth research using a larger sample size. The specific role of CGRP in GT has not been found yet.

Anifrolumab, a monoclonal antibody targeting the type I interferon-α receptor, has been approved for the treatment of moderate-to-severe systemic lupus erythematosus (SLE). This study aimed to assess its safety profile in real-world settings. This study analyzed all adverse events reports involving anifrolumab as the primary suspected drug from the quarter of 2021 to the third quarter of 2024 in the FDA Adverse Event Reporting System database. Disproportionality analyses were conducted using reporting odds ratio, proportional reporting ratio, multi-item gamma Poisson shrinker, and Bayesian confidence propagation neural network. The temporal risk of AEs was modeled using the Weibull distribution. The most frequently reported AEs included upper respiratory tract infection, bronchitis, infusion-related reactions, herpes zoster, cough, hypersensitivity, and nasopharyngitis. Potential adverse reactions not listed in the product label were identified, such as dyspnea, pyrexia, vomiting, pruritus, dizziness, abnormal feeling, chest pain, urticaria, alopecia, increased blood pressure, swelling, and migraine. AEs primarily occurred within the initial month of treatment. This study provides valuable safety data on the real-world application of anifrolumab, confirming known AEs and revealing additional potential risks. The findings offer critical safety information for clinicians prescribing anifrolumab for the treatment of SLE, aiding in the optimization of patient management and treatment decision-making.

Background: Ixekizumab, a monoclonal antibody targeting IL-17A, is approved for psoriasis (PsO) and psoriatic arthritis (PsA). While clinical trials demonstrate its efficacy, real-world safety insights remain critical due to limitations in detecting rare or delayed adverse events (AEs). Methods: This study analyzed 28,889 ixekizumab-associated AE reports from the first quarter of 2016 to the third quarter of 2024 in the FDA Adverse Event Reporting System (FAERS) using disproportionality methods (ROR, PRR, MGPS, BCPNN) and Weibull distribution modeling. Subgroup and sensitivity analyses were conducted to evaluate demographic variations and confounding factors. Results: Common AEs included injection site reaction, fungal infections, and upper respiratory infections. Novel signals included myocardial infarction, herpes zoster, and inflammatory bowel disease. Subgroup analyses revealed male-predominant cardiac risks and age-dependent patterns (pediatric injection reactions vs elderly herpes zoster). Median time-to-onset was 56 days (IQR:12–205), with early risk escalation (Weibull β = 0.60). Conclusions: This FAERS analysis confirms ixekizumab’s established safety profile while identifying critical demographic-specific and delayed-onset signals. Continuous pharmacovigilance is warranted to optimize risk management, particularly for cardiovascular monitoring in high-risk males and antiviral prophylaxis in elderly patients.

Background. Granuloma annulare (GA) and sarcoidosis are granulomatous inflammatory diseases that share similarities. Objective. To identify the histological and immunohistochemical (IHC) features of GA and sarcoidosis. Methods. A retrospective review of 36 patients with GA and 26 with sarcoidosis was performed. Results from hematoxylin and eosin (H&E) staining and IHC staining of MMP-9 and pSTAT1 within the skin lesions of GA and sarcoidosis were analyzed, and random forest was applied for developing a predictive model. Results. Significantly greater expressions of MMP-9 (especially in elastic fibers, EFs, ) and pSTAT1 ( ) were observed in lesion samples of GA versus sarcoidosis patients. In GA patients, MMP-9 was significantly upregulated in the interstitial type ( ), while staining of pSTAT1 was positively correlated with the area of mucinous collagen in palisading GA ( , ). In sarcoidosis patients, MMP-9 ( , ) and pSTAT1 ( , ) were found to show stronger expressions in lesions with less lymphocyte infiltration. The predictive model demonstrated an AUC of 0.9675. Conclusion. These results indicate that MMP-9 and pSTAT1 might exert roles in granulomatous inflammation in different modes, and the presence of more robust MMP-9 staining in EFs appears to be more suggestive of GA.