Increased consumption of high-fat foods has been linked to cognitive decline. The underlying mechanisms, however, remain unclear. A new study by researchers from Chiba University, Japan, finds that a high-fat diet (HFD) impairs intermediate-term memory formation in Drosophila by decreasing autophagic activity. Further, HFD-induced memory deficits can be reversed by enhancing autophagic activity, opening avenues for the development of preventive treatments and autophagy-promoting lifestyle interventions to preserve cognitive function.

In a study led by Lund University and the Amsterdam University Medical Center, researchers used PET to analyse aggregates of tau pathology in more than 12,000 people from all over the world. The study – the largest ever of its kind – examines the connection between genetic predisposition, gender and age in relation to tau pathology in Alzheimer’s disease. The study is published in Nature Neuroscience.

To solve a problem, we have to see it clearly. Whether it’s an infection by a novel virus or memory-stealing plaques forming in the brains of Alzheimer’s patients, visualizing disease processes in the body is the first step toward alleviating human suffering. It’s also often the most difficult and costly. But an artificial intelligence (AI) breakthrough by Virginia Tech computer scientists published Sept. 16 in Cell Systems — a high-impact journal dedicated to biological research — is bringing those fog-bound processes into focus.

Researchers emphasize that cognitive decline is not inevitable with age and urge a shift toward lifestyle-based prevention. Up to 45% of dementia risk is linked to modifiable factors like poor diet, inactivity and isolation. Landmark trials like POINTER and FINGER show that structured interventions – featuring exercise, healthy diets, cognitive stimulation, and social engagement – can significantly boost cognitive function and potentially reduce Alzheimer’s risk.

The 2025 Blavatnik Regional Awards Laureates are:

Life Sciences: Veena Padmanaban, PhD, nominated by The Rockefeller University

Recognized for discovering a molecular mechanism allowing sensory neurons to communicate with breast cancer cells to drive metastasis and uncovering novel actionable therapeutic targets.

Physical Sciences & Engineering: Valentin Crépel, PhD, nominated by the Flatiron Institute

Recognized for advancing theories describing stacked, single-atom-thick materials, enabling easier control of their behaviors for applications in quantum technology and opening up new avenues for developing materials useful in novel quantum computing platforms.

Chemical Sciences: Xiao Xie, PhD, nominated by Princeton University

Recognized for pioneering chemical biology tools to map protein phase separation and copper signaling, which uncover molecular mechanisms underlying cancer and neurodegenerative diseases. Xie is a postdoctoral fellow in the lab of 2015 Blavatnik National Awards Laureate, Christopher Chang, PhD.

The Finalists are:

LIFE SCIENCES

Maria Cecilia Campos Canesso, PhD, nominated by The Rockefeller University

Recognized for advancing our understanding of food allergies and inflammatory bowel disease by developing new tools to uncover how immune cells communicate in the intestine, laying the foundation for more effective treatments.

Ipshita Zutshi, PhD, nominated by New York University

Recognized for discovering how the brain integrates dynamic goals with sensory inputs (sound, vision) to guide memory and decision-making — providing a framework for understanding cognitive dysfunction in psychiatric disorders.

PHYSICAL SCIENCES & ENGINEERING

Ore Gottlieb, PhD, nominated by the Flatiron Institute

Recognized for shifting the paradigm describing neutron star mergers, giving scientists a roadmap for finding and studying these rare events.

Viraj Pandya, PhD, nominated by Columbia University

Recognized for groundbreaking discoveries on early galaxy evolution, reshaping our understanding of how galaxies formed and challenging longstanding theories of the early universe.

CHEMICAL SCIENCES

Lucien Dupuy, PhD, nominated by Rutgers University, Newark

Recognized for developing quantum-classical and machine learning simulations that elucidate how molecules respond to light, crucial to understanding diverse topics like DNA stability, photocatalysis, and energy conversion. Dupuy is the first Blavatnik Awards honoree from Rutgers University, Newark, NJ.

Yunjia Lai, PhD, nominated by Columbia University

Recognized for pioneering mass spectrometry innovations to map and screen environmental exposures and biological changes that drive neurodegenerative diseases including Parkinson’s and Alzheimer’s.