Communications Biology · 2024 · 10 citations · 56 references
Life SciencesNeurologyNeuroscienceAutoimmunityInflammationNeuroimmunologyDemyelinating DiseasesDemyelinating DisordersEncephalitisMultiple SclerosisNeuroinflammationViral InfectionsCell SenescenceCellular Senescence MarkersDemyelinating Disease PathologyExperimental Autoimmune EncephalomyelitisHerpes Simplex Virus EncephalitisMultiple Sclerosis PathologyNeurological Viral InfectionsSenescence
Experimental autoimmune encephalomyelitis (EAE) is a demyelinating disease affecting the central nervous system (CNS) in animals that parallels several clinical and molecular traits of multiple sclerosis in humans. Herpes simplex virus type 1 (HSV-1) infection mainly causes cold sores and eye diseases, yet eventually, it can also reach the CNS, leading to acute encephalitis. Notably, a significant proportion of healthy individuals are likely to have asymptomatic HSV-1 brain infection with chronic brain inflammation due to persistent latent infection in neurons. Because cellular senescence is suggested as a potential factor contributing to the development of various neurodegenerative disorders, including multiple sclerosis, and viral infections may induce a premature senescence state in the CNS, potentially increasing susceptibility to such disorders, here we examine the presence of senescence-related markers in the brains and spinal cords of mice with asymptomatic HSV-1 brain infection, EAE, and both conditions. Across all scenarios, we find a significant increases of senescence biomarkers in the CNS with some differences depending on the analyzed group. Notably, some senescence biomarkers are exclusively observed in mice with the combined conditions. These results indicate that asymptomatic HSV-1 brain infection and EAE associate with a significant expression of senescence biomarkers in the CNS.
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Fiji: an open-source platform for biological-image analysis
Johannes Schindelin, Ignacio Arganda‐Carreras, Erwin Frise et al. · Nature Methods · 2012 · 70.9K citations
ImageJ2: ImageJ for the next generation of scientific image data
Curtis Rueden, Johannes Schindelin, Mark Hiner et al. · BMC Bioinformatics · 2017 · 6.2K citations · Full text