Publications by authors named "L Harries"

Article Synopsis
  • Globally, while people are living longer, many experience a decline in health due to age-related diseases, highlighting the need for better classification systems to address these issues.
  • A consensus meeting with 150 experts established criteria for identifying ageing-related pathologies, requiring a 70% agreement for approval among participants.
  • The agreed criteria focus on conditions that progress with age, contribute to functional decline, and are backed by human studies, setting a foundation for future classification and staging efforts.
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The likelihood that potential new drugs will successfully navigate the current translational pipeline is poor, with fewer than 10% of drug candidates making this transition successfully, even after their entry into clinical trials. Prior to this stage, candidate drugs are typically evaluated by using models of increasing complexity, beginning with basic cell culture studies and progressing through to animal studies, where many of these candidates are lost due to lack of efficacy or toxicology concerns. There are many reasons for this poor translation, but interspecies differences in functional and physiological parameters undoubtedly contribute to the problem.

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Finding appropriate image analysis techniques for a particular purpose can be difficult. In the context of the analysis of immunocytochemistry images, where the key information lies in the number of nuclei containing co-localised fluorescent signals from a marker of interest, researchers often opt to use manual counting techniques because of the paucity of available tools. Here, we present the development and validation of the Fluorescence Imaging of Nuclear Staining (FINS) algorithm for the quantification of fluorescent signals from immunocytochemically stained cells.

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Repurposing previously approved drugs may fast track the route to the clinic for potential senotherapeutics and improves the inefficiency of the clinical drug development pipeline. We performed a repurposing screen of 240 clinically approved molecules in human primary dermal fibroblasts for their effects on expression. Molecules demonstrating effects on expression underwent secondary screening for senescence-associated beta galactosidase (SAB) activity, based on effect size, direction, and/or molecule identity.

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