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| http://dx.doi.org/10.1007/s40037-016-0279-z | DOI Listing |
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NLRX1 limits inflammatory neurodegeneration in the anterior visual pathway.
J Neuroinflammation
January 2025
Department of Neurology, Division of Neuroimmunology, School of Medicine, Johns Hopkins University, Baltimore, MD, 21287, USA.
Chronic innate immune activation in the central nervous system (CNS) significantly contributes to neurodegeneration in progressive multiple sclerosis (MS). Using multiple experimental autoimmune encephalomyelitis (EAE) models, we discovered that NLRX1 protects neurons in the anterior visual pathway from inflammatory neurodegeneration. We quantified retinal ganglion cell (RGC) density and optic nerve axonal degeneration, gliosis, and T-cell infiltration in Nlrx1 and wild-type (WT) EAE mice and found increased RGC loss and axonal injury in Nlrx1 mice compared to WT mice in both active immunization EAE and spontaneous opticospinal encephalomyelitis (OSE) models.
View Article and Find Full Text PDFComparative analysis of the parapatellar and subpatellar approaches in reducing peripheral knee pain post-intramedullary tibial fracture surgery.
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January 2025
Trauma Center, Huai'an Hospital Affifiliated to Yangzhou University(The Fifth People's Hospital of Huai'an City), Huai'an, 223001, Jiangsu Province, China.
Introduction: Intramedullary tibial nailing is a standard treatment for tibial shaft fractures. Postoperative knee pain significantly impacts functional recovery; however, studies on this issue are limited. This study evaluated the effect of the parapatellar approach for intramedullary nailing on postoperative knee pain.
View Article and Find Full Text PDFPrevalence of non-vaccine high-risk HPV cervical infections in vaccinated women: a systematic review and meta-analysis.
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Programa de Pós-graduação em Ciências Farmacêuticas, Escola de Farmácia, Universidade Federal de Ouro Preto, Ouro Preto, Minas Gerais, Brazil.
Background: Human Papillomavirus (HPV) is the most common sexually transmitted lower genital tract infection worldwide and the main etiological factor of cervical cancer (CC). Since 2006, vaccines have been implemented to reduce CC-related morbidity and mortality. This systematic review and meta-analysis aimed to evaluate the prevalence of cervical infections by non-vaccine high-risk HPV (HR-HPV) types in women vaccinated against types 16 and 18.
View Article and Find Full Text PDFIntestinal neutrophil extracellular traps promote gut barrier damage exacerbating endotoxaemia, systemic inflammation and progression of diabetic retinopathy in type 2 diabetes.
Diabetologia
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Department of Ophthalmology and Visual Sciences, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
Aims/hypothesis: Within the small intestine, neutrophils play an integral role in preventing bacterial infection. Upon interaction with bacteria or bacteria-derived antigens, neutrophils initiate a multi-staged response of which the terminal stage is NETosis, formation of protease-decorated nuclear DNA into extracellular traps. NETosis has a great propensity to elicit ocular damage and has been associated with diabetic retinopathy and diabetic macular oedema (DME) progression.
View Article and Find Full Text PDFEnhancing quantitative coronary angiography (QCA) with advanced artificial intelligence: comparison with manual QCA and visual estimation.
Int J Cardiovasc Imaging
January 2025
Division of Cardiology, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Artificial intelligence-based quantitative coronary angiography (AI-QCA) was introduced to address manual QCA's limitations in reproducibility and correction process. The present study aimed to assess the performance of an updated AI-QCA solution (MPXA-2000) in lesion detection and quantification using manual QCA as the reference standard, and to demonstrate its superiority over visual estimation. This multi-center retrospective study analyzed 1,076 coronary angiography images obtained from 420 patients, comparing AI-QCA and visual estimation against manual QCA as the reference standard.
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