Background and Objective: The discovery of novel molecular biomarkers via next-generation sequencing technologies has revolutionized how glioblastomas (GBMs) are classified nowadays. This has resulted in more precise diagnostic, prognostic, and therapeutic approaches to address this malignancy. The present work examines the applications of single-cell RNA sequencing (scRNA-seq) in GBM, focusing on its potential to address tumor complexity and therapeutic resistance and improve patient outcomes. Methods: A scoping review of original studies published between 2009 and 2024 was conducted using the PUBMED and EMBASE databases. Studies in English or Spanish related to single-cell analysis and GBM were included. Key Findings: The database search yielded 453 publications. Themes related to scRNA-seq applied for the diagnosis, prognosis, treatment, and understanding of the cancer biology of GBM were used as criteria for article selection. Of the 24 studies that were included in the review, 11 focused on the tumor microenvironment and cell subpopulations in GBM samples, 5 investigated the use of sequencing to elucidate the GBM cancer biology, 3 examined disease prognosis using sequencing models, 3 applied translational research through scRNA-seq, and 2 addressed treatment-related problems in GBM elucidated by scRNA-seq. Conclusions: This scoping review explored the various clinical applications of scRNA-seq technologies in approaching GBM. The findings highlight the utility of this technology in unraveling the complex cellular and immune landscapes of GBM, paving the way for improved diagnosis and personalized treatments. This cutting-edge approach might strengthen treatment strategies against tumor progression and recurrence, setting the stage for multi-targeted interventions that could significantly improve outcomes for patients with aggressive, treatment-resistant GBMs.

Chagas disease is a parasitic infection caused by the protozoan Trypanosoma cruzi. One of the complications of the disease is the infection of the central nervous system (CNS), as it can result from either the acute phase or by reactivation during the chronic phase, exhibiting high mortality in immunocompromised patients. This systematic review aimed to determine clinical and paraclinical characteristics of patients with Chagas disease in the CNS. Articles were searched from PubMed, Scopus and LILACS until January 2023. From 2325 articles, 59 case reports and 13 case series of patients with Chagas in the CNS were retrieved from which 138 patients were identified. In this population, 77% of the patients were male, with a median age of 35 years old, from which most of them came from Argentina and Brazil. Most of the individuals were immunocompromised from which 89% were HIV-positive, and 54 patients had an average of 48 cells per mm³ CD4+ T cells. Motor deficits and seizures were the most common manifestation of CNS compromise. Furthermore, 90 patients had a documented CNS lesion by imaging from which 89% were supratentorial and 86% were in the anterior/middle cranial fossa. The overall mortality was of 74%. Among patients who were empirically treated with anti-toxoplasma drugs, 70% died. This review shows how Chagas disease in the CNS is a devastating complication requiring prompt diagnosis and treatment to improve patients’ outcomes.

The rapid spread of SARS-CoV-2 coronavirus infection has led to the development of molecular and serologic tests in a short period of time. While tests such as RT-PCR have applications in the immediate diagnosis revealing the presence of the virus, serological tests can be used to determine previous exposure to the virus and complement acute diagnosis. Antibody production can occur as early as 5 days post-infection. Both IgM and IgG specific anti-SARS-COV-2 antibodies can be a useful tool to test faster and larger groups of individuals. The objective of this study was to carry out a review of the different serological tests offered to detect antigen or antibodies against SARS-CoV-2. This information should be useful for decision takers in different countries to choose a test according to their needs. Based on web pages that listed serological assays, we found 226 coming from 20 countries, the majority are indirect tests for specific antibodies detection (n 180) and use immunochromatography methods (n 110) with samples coming from blood-derived products (n 105). Measuring IgM/IgG at the same time (n 112) and a procedure time of <20 min (n 83) are the most common. The overall average sensitivity was 91.8% and specificity was 97%. Most of the tests are currently for in vitro diagnosis (IVD). This information gathered could change day by day due to the expedite process of production and emergency of authorization use.

Background: Diffusion MRI tractography can support patient-specific neurosurgical planning, but implementation may be limited by workflow complexity, software requirements, and resource constraints. We describe Tractometric^®, a diffusion tractography software engine developed for integration with the Surgimetric^® neuronavigation planning environment. Methods: Tractometric^® was developed through a multidisciplinary, iterative co-design process involving neurosurgeons and neuroimaging specialists. The software uses a modular Model–View–Controller architecture implemented in Python (version 3.11) and supports multiple diffusion reconstruction models, deterministic and probabilistic tracking, patient-specific and atlas-derived regions of interest (ROIs), visualization, and interoperable export. The present study was designed as a technical development and preliminary clinical feasibility report. Technical workflow characteristics were described retrospectively across 30 cases, while preliminary clinical feasibility was explored in 8 patients undergoing tractography-assisted surgical planning. Intraoperative direct cortical and subcortical electrical stimulation was used as a qualitative clinical reference rather than as a formal diagnostic-accuracy test. Results: Tractometric^® implemented a complete workflow from diffusion data loading and preprocessing to tract reconstruction, filtering, visualization, and export to Surgimetric^®. The 30-case technical series illustrated variation in processing time and user interaction according to operator experience, reconstruction model, registration, ROI strategy, and manual cleaning. In 8 preliminary clinical cases, reconstructed motor and language pathways were qualitatively concordant with positive intraoperative stimulation findings. No formal sensitivity, specificity, spatial agreement, or test–retest reproducibility estimates were calculated. Conclusions: Tractometric^® provides an integrated technical workflow for diffusion tractography and neuronavigation planning and was feasible to implement in a preliminary clinical series. The current data support technical feasibility and workflow integration, but do not establish anatomical accuracy, reproducibility, clinical efficacy, or cost-effectiveness. Independent, prospective validation using standardized acquisitions, predefined tractography parameters, quantitative spatial metrics, and systematic intraoperative mapping is warranted.