Publications by authors named "E Verdin"
The ketone body beta-hydroxybutyrate (BHB) is an acidic energy metabolite that is synthesized during periods of fasting or exercise. Our previous study demonstrated that an every other week cyclic ketogenic diet (Cyclic KD), which induces blood BHB levels similar to those observed during fasting, reduces midlife mortality and improves memory in aging mice. In addition to its canonical role as an energy metabolite, BHB regulates gene expression and inflammatory activation through non-energetic signaling pathways.
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- A study conducted in 2021 and 2022 collected over 7,300 samples from 36 pepper fields in southwestern France to investigate the cucumber mosaic virus (CMV) affecting Espelette pepper.
- Five new natural host species of CMV were identified, including Arum italicum and Trifolium incarnatum.
- A specific CMV variant was found to be very common in pepper crops (78%) and some wild plants (8%), and this variant has been previously reported in France, dating back to at least 2009.
Loss of proteostasis is a hallmark of aging and Alzheimer disease (AD). We identify β-hydroxybutyrate (βHB), a ketone body, as a regulator of protein solubility. βHB primarily provides ATP substrate during periods of reduced glucose availability, and regulates other cellular processes through protein interactions.
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- Recent advancements in aging research and drug discovery connect basic research with clinical applications, aiming to promote healthy longevity in humans.* -
- The Aging Research and Drug Discovery Meeting in 2023 highlighted key areas such as AI, biomarkers, geroscience, and clinical trials focused on enhancing healthspan.* -
- The meeting emphasized the importance of combining generative AI with innovative biological technologies to tackle age-related diseases and extend healthy lifespans.*
Article Synopsis
- The study investigates the role of cellular senescence in breast cancer development, highlighting its dual nature as both a potential barrier to cancer growth and a promoter of tumor-related inflammation, but notes that understanding in humans is limited due to previous research mainly in non-human models.
- Researchers analyzed breast biopsy samples from healthy women using advanced deep learning techniques to identify senescence markers in different tissue types, aiming to link these markers to breast cancer risk.
- The findings were compared to established breast cancer risk assessment methods (Gail scores) to evaluate the effectiveness of senescence as a predictor for future breast cancer development.