Publications by authors named "R Kent Wenger"

Epidermis is one of the most rapidly proliferating tissues in the body with high demands for adenosine triphosphate and cellular building blocks. In this study, we show that to meet these requirements, keratinocytes constitutively express HIF-1α, even in the presence of oxygen levels sufficient for HIF-1α hydroxylation. We previously reported that mice with severe epidermal mitochondrial dysfunction actually showed a hyperproliferative epidermis but rapidly died of systemic lactic acidosis and hypoglycemia, indicating excessive glycolysis.

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Objectives: To characterize clinical aspects, evaluate the diagnostic opportunity, and identify factors associated with mortality in patients hospitalized for tuberculosis (TB).

Methods: Retrospective study of patients admitted for TB to a Regional Hospital in Chile between 2011 and 2019.

Results: 142 TB events required hospitalization in this period (38.

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Pharmacologic inhibitors of cellular hydroxylase oxygen sensors are protective in multiple preclinical models of inflammation. However, the molecular mechanisms underlying this regulation are only partly understood, preventing clinical translation. We previously proposed a new mechanism for cellular oxygen sensing: oxygen-dependent, (likely) covalent protein oligomer (oxomer) formation.

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Anatomical and functional tissue loss is one of the most debilitating problems and involves a great cost to the international health-care sector. In the field of bone tissue, the use of scaffolds to promote tissue regeneration is a topic of great interest. In this study, a combination of additive manufacturing and computational methods led to creating porous scaffolds with complex microstructure and mechanical behavior comparable to those of cancellous bone.

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Article Synopsis
  • * The new HR-Kidney dataset offers 1.7 TB of high-quality X-ray images of mouse kidneys, including validated segmentations of over 33,000 glomeruli, significantly enlarging existing biomedical datasets.
  • * This dataset provides essential tools for the scientific community, enabling advancements in image processing and machine learning techniques, particularly in unsupervised learning and generative adversarial networks.
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