Even though respiratory dysfunctions are the primary symptom associated with SARS-CoV-2 infection, cerebrovascular events, and neurological symptoms are described in many patients. However, the connection between the neuroimmune profile and the lung's inflammatory condition during COVID-19 and its association with the neurological symptoms reported by COVID-19 patients still needs further exploration. The present study characterizes the SARS-CoV-2 infectivity profile in nervous and lung tissue samples of patients who died due to severe COVID-19, and the pro-inflammatory factors present in both nervous and lung tissue samples, via a proteomic profiling array. Additionally, Brain-Derived Neurotrophic Factor (BDNF) levels and intracellular pathways related to neuroplasticity/neuroprotection were assessed in the samples. Out of the 16 samples analyzed, all samples but 1 were positive for the viral genome (genes E or N2, but only 3.9% presented E and N2) in the olfactory brain pathway. The E or N2 gene were also detected in all lung samples, with 43.7% of the samples being positive for the E and N2 genes. In the E/N2 positive brain samples, the Spike protein of SARS-CoV-2 co-localized with TUJ-1+ (neuron-specific class III beta-tubulin) and GFAP+ (glial fibrillary acidic protein) astrocytes. IL-6, but not IL-10, expression was markedly higher in most nervous tissue samples compared to the lung specimens. While intracellular adhesion molecule-1 (ICAM-1), interleukin-8 (IL-8), macrophage migration inhibitory factor (MIF), and plasminogen activator inhibitor 1 (PAI-1) were increased in lung samples from SARS-Cov-2 patients, only MIF and IL-18 were detected in nervous tissue samples. Correlation analysis suggested that high levels of IL-6 are followed by increased levels of IL-10 in the brain, but not in lung samples. Our analysis also demonstrated that the presence of comorbidities, such as cardiovascular disease, hypertension, and hypothyroidism, is associated with neuroinflammation, while chronic kidney conditions predict the presence of neurological symptoms, which correlate with lower levels of BDNF in the brain samples. Our results corroborate the hypothesis that a pro-inflammatory state might further impair neural homeostasis and induce brain abnormalities found in COVID-19 patients.
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http://dx.doi.org/10.1016/j.bbih.2024.100855 | DOI Listing |
Eur J Epidemiol
January 2025
Department of Dermatology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
Early-stage cutaneous melanoma patients generally have a favorable prognosis, yet a significant proportion of metastatic melanoma cases arise from this group, highlighting the need for improved risk stratification using novel prognostic biomarkers. The Dutch Early-Stage Melanoma (D-ESMEL) study introduces a robust, population-based methodology to develop an absolute risk prediction model for stage I/II melanoma, incorporating clinical, imaging, and multi-omics data to identify patients at increased risk for distant metastases. Utilizing the Netherlands Cancer Registry and Dutch Nationwide Pathology Databank, we collected primary tumor samples from early-stage melanoma patients, with and without distant metastases during follow-up.
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January 2025
Department of Ear, Nose and Throat (ENT), The First People's Hospital of Jiande, No. 599 Yanzhou Avenue, Xin'anjiang Street, Jiande, 311600, Zhejiang, China.
Objective: To screen potential differentially expressed genes related to immune function in nasopharyngeal carcinoma through an online database, and to verify their mechanism of action, so as to provide a reference for the diagnosis and treatment of nasopharyngeal carcinoma in the future.
Methods: Differentially expressed genes were analyzed from the GSE227541 dataset, and functional enrichment analysis was conducted. With mucin 5B, oligomeric mucus/gel-forming as the focus, the correlation between its expression and immune indexes was analyzed by using the TIMER database.
Cell Tissue Res
January 2025
Department of Animal Science, Biotechnical Faculty, University of Ljubljana, Ljubljana, Slovenia.
Traditional transcriptomic studies often overlook the complex heterogeneity of skeletal muscle, as they typically isolate RNA from mixed muscle fibre and cell populations, resulting in an averaged transcriptomic profile that obscures fibre type-specific differences. This study assessed the potential of the recently developed Xenium platform for high-resolution spatial transcriptomic analysis of human skeletal muscle histological sections. Human vastus lateralis muscle samples from two individuals were analysed using the Xenium platform and Human Multi-Tissue and Cancer Panel targeting 377 genes complemented by staining of successive sections for Myosin Heavy Chain isoforms to differentiate between type 1 and type 2 muscle fibres.
View Article and Find Full Text PDFNeuro Oncol
December 2024
Department of Neurological Surgery, Mayo Clinic; Rochester, MN, USA.
Background: While serial sampling of glioma tissue is rarely performed prior to recurrence, cerebrospinal fluid (CSF) is an underutilized longitudinal source of candidate glioma biomarkers for understanding therapeutic impacts. However, the impact of key variables to consider in longitudinal CSF samples for monitoring biomarker discovery, including anatomical location and post-surgical changes, remains unknown.
Methods: Aptamer-based proteomics was performed on 147 CSF samples from 74 patients, 71 of whom had grade 2-4 astrocytomas or grade 2-3 oligodendrogliomas.
J Pediatric Infect Dis Soc
December 2024
Bill & Melinda Gates Foundation, Seattle, WA, USA.
In low-to-middle income countries, acute lower respiratory infection (ALRI) remains the leading infectious cause of death among infants and children under 5 years old. Case-control studies based on upper respiratory sampling have informed current understandings of ALRI etiologies; in contrast, minimally-invasive tissue sampling (MITS) offers a method of directly interrogating lower respiratory tract pathogens to establish etiologic distributions. This study performed in the post-mortem setting used MITS and a Determination of Cause of Death (DeCoDe) panel to elucidate causes of fatal pneumonia in the community in Lusaka, Zambia.
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