Time-restricted eating may help retain cognitive function in older adults
Reports and Proceedings
In honor of Alzheimer's Awareness Month, we’re exploring the science and stories surrounding Alzheimer’s disease.
Updates every hour. Last Updated: 29-Oct-2026 07:15 ET (29-Oct-2026 11:15 GMT/UTC)
An NIH-funded study indicates that the immune landscape of the hippocampus, a brain region critical for learning and memory, rapidly undergoes substantial remodeling beginning in midlife. This previously unrecognized shift suggests a mechanism by which aging may contribute to neurodegenerative disease.
Researchers from Pitt and Carnegie Mellon used single-cell 3D genome mapping, spatial transcriptomics and an AI model to uncover “compartment mingling” in Alzheimer’s brain cells. The finding links altered chromatin organization to gene activity, brain tissue changes and Alzheimer’s disease pathology.
In a collection of ten studies, published jointly in Science and Science Advances, researchers highlight advances in understanding the so-called “4D nucleome” (4DN). The human genome is not simply a static blueprint but a dynamic, three-dimensional structure. The structure’s looping and folding, and changes in its organization over time, help determine when and where genes are expressed. This 4D nucleome has emerged as a critical layer of gene regulation, with disruptions increasingly linked to human disease. To better understand this dynamic system, the National Institutes of Health created the 4D Nucleome Program, which has since developed powerful datasets, technologies, and analytical tools to map genome architecture at single-cell resolution across healthy and diseased tissues. The studies highlighted in this collection apply these cutting-edge approaches across a wide range of biological systems, including the aging brain, Alzheimer's disease, heart disease, immune cell development, and other human tissues. Collectively, they reveal how the physical organization of DNA shapes cell identity, stores epigenetic information, and changes during disease. Together with new computational and imaging methods, these advances mark a step forward in spatial genomics, providing the broader scientific community with valuable resources to deepen our understanding of human development, aging, and disease. “Collectively, this package illustrates how far single-cell three-dimensional genomics has advanced since the 4DN program’s inception and how integrating chromatin architecture with gene expression and epigenetic data is reshaping our understanding of development, aging, and disease,” write Science Editors Di Jiang, Yevgenia Nusinovich, and Sara Ross. “The resources and methods introduced here are poised to accelerate discovery across the broader research community.”
A new study reveals that exceptional memory aging cannot be explained simply by low inherited Alzheimer's disease risk, reinforcing the importance of studying protective pathways directly.
Female researchers from Universidad Carlos III de Madrid (UC3M) and Hospital Universitario Severo Ochoa in Leganés, part of the public health network of the Comunidad de Madrid, have developed a methodology that uses artificial intelligence (AI) to analyze brain electrical activity during sleep and facilitate the early diagnosis of Alzheimer's. The study, recently published in the scientific journal GeroScience, demonstrates that analyzing nocturnal brain waves using machine learning techniques makes it possible to non-invasively identify early neural alterations and classify patients into three distinct biological subgroups.