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NTHi killing activity is reduced in COPD patients and is associated with a differential microbiome.
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Microbial Antibodies and Technologies, Research and Early Development, Vaccines and Immune Therapies, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, MD, USA.
Chronic obstructive pulmonary disease (COPD) is a chronic lung disease characterized by airway obstruction and inflammation. Non-typeable Haemophilus influenzae (NTHi) lung infections are common in COPD, promoting frequent exacerbations and accelerated lung function decline. The relationship with immune responses and NTHi are poorly understood.
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Targeting ABCD1-ACOX1-MET/IGF1R axis suppresses multiple myeloma.
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January 2025
Department of Pathology, Duke University School of Medicine, Durham, NC, 27710, USA.
Multiple myeloma (MM) remains an incurable hematological malignancy that necessitates the identification of novel therapeutic strategies. Here, we report that intracellular levels of very long chain fatty acids (VLCFAs) control the cytotoxicity of MM chemotherapeutic agents. Inhibition of VLCFA biosynthesis reduced cell death in MM cells caused by the proteasome inhibitor, bortezomib.
View Article and Find Full Text PDFThe pulsatile brain, pulse pressure, cognition, and antihypertensive treatments in older adults: a functional NIRS study.
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Research Centre, Montreal Heart Institute, Montreal, QC, Canada.
Age-related arterial stiffness increases pulsatility that reaches the cerebral microcirculation, compromises cerebrovascular health and lead to cognitive decline. The presence of cardiovascular risk factors (CVRFs) such as high blood pressure can exacerbate this effect. Despite extensive research on the impact of antihypertensive treatments on reducing arterial stiffness, little is known about the impact of antihypertensive treatments on pulsatility in cerebral microcirculation.
View Article and Find Full Text PDFAccurate malaria diagnosis with precise identification of Plasmodium species is crucial for an effective treatment. While microscopy is still the gold standard in malaria diagnosis, it relies heavily on trained personnel. Artificial intelligence (AI) advances, particularly convolutional neural networks (CNNs), have significantly improved diagnostic capabilities and accuracy by enabling the automated analysis of medical images.
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