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Temporal Profiling of Male Cortical Astrocyte Transcription Predicts Molecular Shifts From Early Development to Aging.
Glia
March 2025
School of Neuroscience, Virginia Tech, Blacksburg, Virginia, USA.
Astrocytes are the most abundant glial cell type in the central nervous system (CNS). Astrocytes are born during the early postnatal period in the rodent brain and mature alongside neurons, demonstrating remarkable morphological structural complexity, which is attained in the second postnatal month. Throughout this period of development and across the remainder of the lifespan, astrocytes participate in CNS homeostasis, support neuronal partners, and contribute to nearly all aspects of CNS function.
View Article and Find Full Text PDFAnimal models of post-acute COVID-19 syndrome: a call for longitudinal animal studies.
Front Immunol
March 2025
Department of Public Laboratory, The Third People's Hospital of Kunming City/Infectious Disease Clinical Medical Center of Yunnan Province, Kunming, Yunnan, China.
Animal models are indispensable for unraveling the mechanisms underlying post-acute sequelae of COVID-19 (PASC). This review evaluates recent research on PASC-related perturbations in animal models, drawing comparisons with clinical findings. Despite the limited number of studies on post-COVID conditions, particularly those extending beyond three months, these studies provide valuable insights.
View Article and Find Full Text PDFSingle-cell RNA-sequencing reveals cellular heterogeneity and immune microenvironment characteristics between ocular adnexal mucosa-associated lymphoid lymphoma and IgG4-related ophthalmic disease.
Front Immunol
March 2025
Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Introduction: The molecular pathogenesis of ocular adnexal mucosa-associated lymphoid tissue (MALT) lymphoma and IgG4-related ophthalmic disease (IgG4-ROD) remains incompletely understood. Differentiating between the two diseases is vital given that the diagnostic evaluation and treatment approaches can vary significantly; this difficulty in distinction is exacerbated by the absence of specific biomarkers. This study aimed to investigate the differences between these two diseases based on their cellular composition, transcriptional heterogeneity, and the immune microenvironment using single-cell RNA transcriptional sequencing (scRNA-seq) technology.
View Article and Find Full Text PDFA secure visualization platform for pathogenic genome analysis with an accurate reference database.
Biosaf Health
August 2024
Microbial Resource and Big Data Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
Investigating the genetic and developmental characteristics, infection transmission attributes, and epidemiological trends of pathogens using genomic data represents the foundation for pathogen surveillance and is a crucial prerequisite for guaranteeing global health security. To meet the analytical demands of research relating to pathogen prevention and control, we designed a secure visualization system capable of pathogen genome assembly, annotation, species identification, sequence typing, antibiotic resistance and virulence analysis, genomic mobile element and transferable resistance gene annotation, and phylogenetic tree reconstruction. For highly pathogenic organisms requiring complete data protection, we have developed a secure computing tool that utilizes a trusted execution environment, is combined with blockchain and privacy computing technologies, and is specifically designed for nucleotide basic local alignment search tool (BLASTn) comparison analysis.
View Article and Find Full Text PDFProtective and risk factors in daily life associated with cognitive decline of older adults.
Front Aging Neurosci
February 2025
Institute of Wound Prevention and Treatment, Shanghai University of Medicine & Health Sciences, Shanghai, China.
Background: Cognitive decline is a chronic condition which is characterized by a loss of the ability to remember, learn, and pay attention to complex tasks. Many older people are now suffering from cognitive decline, which decreases life quality and leads to disability. This study aimed to identify the risk and protective factors for cognitive decline of the older people from daily life and establish a predictive model using logistic regression.
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