Mass General Brigham study reveals how exercise rewires the brain at the cellular level, offering fresh insights into potential treatment strategies for Alzheimer’s
Using advanced single-nuclei RNA sequencing (snRNA-seq) and a widely used preclinical model for Alzheimer’s disease, researchers from Mass General Brigham and collaborators at SUNY Upstate Medical University have identified specific brain cell types that responded most to exercise. These findings, which were validated in samples from people, shed light on the connection between exercise and brain health and point to future drug targets. Results are published in Nature Neuroscience.
“While we’ve long known that exercise helps protect the brain, we didn’t fully understand which cells were responsible or how it worked at a molecular level,” said senior author Christiane D. Wrann, DVM, PhD, a neuroscientist and leader of the Program in Neuroprotection in Exercise at the Mass General Brigham Heart and Vascular Institute and the McCance Center for Brain Health at Massachusetts General Hospital. “Now, we have a detailed map of how exercise impacts each major cell type in the memory center of the brain in Alzheimer’s disease.”
The study focused on a part of the hippocampus—a critical region for memory and learning that is damaged early in Alzheimer’s disease. The research team leveraged single-nuclei RNA sequencing, a relatively new technologies that allow researchers to look at activity at the molecular level in single cells for an in-depth understanding of diseases like Alzheimer’s.

Scientists identified a distinct subtype of brain support cells—astrocytes enriched in the protein cadherin-4 (CDH4), shown in magenta, that seem to protect nerve cells against cell death. In Alzheimer’s disease, these cells become less abundant, but exercise seems to strengthen them. (Image credit: Luis Moreira)
The researchers exercised a common mouse model for Alzheimer’s disease using running wheels, which improved their memory compared to the sedentary counterparts. They then analyzed gene activity across thousands of individual brain cells, finding that exercise changed activity both in microglia, a disease-associated population of brain cells, and in a specific type of neurovascular-associated astrocyte (NVA), newly discovered by the team, which are cells associated with blood vessels in the brain. Furthermore, the scientist identified the metabolic gene Atpif1 as an important regulator to create new neurons in the brain.
“That we were able to modulate newborn neurons using our new target genes set underscores the promise our study,” said lead author Joana Da Rocha, PhD, a postdoctoral fellow working in Dr. Wrann’s lab.
To ensure the findings were relevant to humans, the team validated their discoveries in a large dataset of human Alzheimer’s brain tissue, finding striking similarities.
“This work not only sheds light on how exercise benefits the brain but also uncovers potential cell-specific targets for future Alzheimer’s therapies,” said Nathan Tucker, a biostatistician at SUNY Upstate Medical University and co-senior of the study. “Our study offers a valuable resource for the scientific community investigating Alzheimer’s prevention and treatment.”
Source – Mass General Brigham
Mass General Brigham study reveals how exercise rewires the brain at the cellular level, offering fresh insights into potential treatment strategies for Alzheimer’s
Using advanced single-nuclei RNA sequencing (snRNA-seq) and a widely used preclinical model for Alzheimer’s disease, researchers from Mass General Brigham and collaborators at SUNY Upstate Medical University have identified specific brain cell types that responded most to exercise. These findings, which were validated in samples from people, shed light on the connection between exercise and brain health and point to future drug targets. Results are published in Nature Neuroscience.
The study focused on a part of the hippocampus—a critical region for memory and learning that is damaged early in Alzheimer’s disease. The research team leveraged single-nuclei RNA sequencing, a relatively new technologies that allow researchers to look at activity at the molecular level in single cells for an in-depth understanding of diseases like Alzheimer’s.
Scientists identified a distinct subtype of brain support cells—astrocytes enriched in the protein cadherin-4 (CDH4), shown in magenta, that seem to protect nerve cells against cell death. In Alzheimer’s disease, these cells become less abundant, but exercise seems to strengthen them. (Image credit: Luis Moreira)
The researchers exercised a common mouse model for Alzheimer’s disease using running wheels, which improved their memory compared to the sedentary counterparts. They then analyzed gene activity across thousands of individual brain cells, finding that exercise changed activity both in microglia, a disease-associated population of brain cells, and in a specific type of neurovascular-associated astrocyte (NVA), newly discovered by the team, which are cells associated with blood vessels in the brain. Furthermore, the scientist identified the metabolic gene Atpif1 as an important regulator to create new neurons in the brain.
To ensure the findings were relevant to humans, the team validated their discoveries in a large dataset of human Alzheimer’s brain tissue, finding striking similarities.
Source – Mass General Brigham
da Rocha JF, Lance ML, Luo R, Schlachter P, Moreira L, Iqbal MA, Kuhn P, Gardner RS, Valaris S, Islam MR, Gassner GM, Mazuera S, Healy K, Shastri S, Hibbert NB, Moran-Figueroa KV, Haley EB, Pfeiffer RD, Aygar S, Kastanenka KV, Brase L, Harari O, Benitez BA, Tucker NR, Wrann CD. (2025) Protective exercise responses in the dentate gyrus of Alzheimer’s disease mouse model revealed with single-nucleus RNA-sequencing. Nature Neuroscience. [Epub ahead of print]. [article]
Related Posts
RNAmel simplifies RNA sequencing data analysis with a reproducible, integrated platform
Heart failure reshapes bone marrow to create inflammation-related immune memory
Overlooked DNA regions surrounding ‘microexons’ hold missing pieces of autism’s genetic puzzle
RiboBA improves detection of hidden protein-coding regions using ribosome profiling
An anti-senescence gene may fight spinal disc deterioration
Scientists identify the neuroblastoma cells that signal poor outcomes
Novel biosensor uses DNA ‘barcodes’ to uncover disease signals in cells
CellART extracts single-cell information from high-resolution spatial transcriptomics
Cell2space restores spatial context to single-cell RNA sequencing data
Urine test may improve bladder cancer diagnosis and guide treatment decisions
DeCoRE – a computational method to resolve RNA structural heterogeneity from RNA structure probing data by direct RNA sequencing
Tracing 700 million years of cell evolution
How should biological replicates be handled in long-read RNA sequencing?
RNA-Seq reveals a new way the developing heart controls its growth
The Human RNome Project Consortium seeks to publish first-ever complete sequence of the body’s RNA
scFlowReport brings multiple single-cell RNA sequencing analyses into one workflow
Long-read RNA sequencing reveals how neurons choose alternative RNA endings
DeOPUS improves cell-type estimates from bulk RNA sequencing
ResolVI improves accuracy in spatial transcriptomics analysis
RNA sequencing reveals transcriptional allele differences in prostate cancer stem cells
Mass General Brigham study reveals how exercise rewires the brain at the cellular level, offering fresh insights into potential treatment strategies for Alzheimer’s
Using advanced single-nuclei RNA sequencing (snRNA-seq) and a widely used preclinical model for Alzheimer’s disease, researchers from Mass General Brigham and collaborators at SUNY Upstate Medical University have identified specific brain cell types that responded most to exercise. These findings, which were validated in samples from people, shed light on the connection between exercise and brain health and point to future drug targets. Results are published in Nature Neuroscience.
The study focused on a part of the hippocampus—a critical region for memory and learning that is damaged early in Alzheimer’s disease. The research team leveraged single-nuclei RNA sequencing, a relatively new technologies that allow researchers to look at activity at the molecular level in single cells for an in-depth understanding of diseases like Alzheimer’s.
Scientists identified a distinct subtype of brain support cells—astrocytes enriched in the protein cadherin-4 (CDH4), shown in magenta, that seem to protect nerve cells against cell death. In Alzheimer’s disease, these cells become less abundant, but exercise seems to strengthen them. (Image credit: Luis Moreira)
The researchers exercised a common mouse model for Alzheimer’s disease using running wheels, which improved their memory compared to the sedentary counterparts. They then analyzed gene activity across thousands of individual brain cells, finding that exercise changed activity both in microglia, a disease-associated population of brain cells, and in a specific type of neurovascular-associated astrocyte (NVA), newly discovered by the team, which are cells associated with blood vessels in the brain. Furthermore, the scientist identified the metabolic gene Atpif1 as an important regulator to create new neurons in the brain.
To ensure the findings were relevant to humans, the team validated their discoveries in a large dataset of human Alzheimer’s brain tissue, finding striking similarities.
Source – Mass General Brigham
da Rocha JF, Lance ML, Luo R, Schlachter P, Moreira L, Iqbal MA, Kuhn P, Gardner RS, Valaris S, Islam MR, Gassner GM, Mazuera S, Healy K, Shastri S, Hibbert NB, Moran-Figueroa KV, Haley EB, Pfeiffer RD, Aygar S, Kastanenka KV, Brase L, Harari O, Benitez BA, Tucker NR, Wrann CD. (2025) Protective exercise responses in the dentate gyrus of Alzheimer’s disease mouse model revealed with single-nucleus RNA-sequencing. Nature Neuroscience. [Epub ahead of print]. [article]
Related Posts
RNAmel simplifies RNA sequencing data analysis with a reproducible, integrated platform
Heart failure reshapes bone marrow to create inflammation-related immune memory
Overlooked DNA regions surrounding ‘microexons’ hold missing pieces of autism’s genetic puzzle
RiboBA improves detection of hidden protein-coding regions using ribosome profiling
An anti-senescence gene may fight spinal disc deterioration
Scientists identify the neuroblastoma cells that signal poor outcomes
Novel biosensor uses DNA ‘barcodes’ to uncover disease signals in cells
CellART extracts single-cell information from high-resolution spatial transcriptomics
Cell2space restores spatial context to single-cell RNA sequencing data
Urine test may improve bladder cancer diagnosis and guide treatment decisions
DeCoRE – a computational method to resolve RNA structural heterogeneity from RNA structure probing data by direct RNA sequencing
Tracing 700 million years of cell evolution
How should biological replicates be handled in long-read RNA sequencing?
RNA-Seq reveals a new way the developing heart controls its growth
The Human RNome Project Consortium seeks to publish first-ever complete sequence of the body’s RNA
scFlowReport brings multiple single-cell RNA sequencing analyses into one workflow
Long-read RNA sequencing reveals how neurons choose alternative RNA endings
DeOPUS improves cell-type estimates from bulk RNA sequencing
ResolVI improves accuracy in spatial transcriptomics analysis
RNA sequencing reveals transcriptional allele differences in prostate cancer stem cells
Stay Connected
Submit a Post to the Blog
Recent Posts
Subscribe to the RNA-Seq Blog
RNA-Seq Products & Services