Author
Listed:
- Eugene V. Mosharov
(Columbia University Irving Medical Center
New York State Psychiatric Institute)
- Ayelet M. Rosenberg
(Columbia University Irving Medical Center)
- Anna S. Monzel
(Columbia University Irving Medical Center)
- Corey A. Osto
(University of California Los Angeles)
- Linsey Stiles
(University of California Los Angeles)
- Gorazd B. Rosoklija
(New York State Psychiatric Institute
Columbia University Irving Medical Center)
- Andrew J. Dwork
(New York State Psychiatric Institute
Columbia University Irving Medical Center
Columbia University)
- Snehal Bindra
(Columbia University Irving Medical Center)
- Alex Junker
(Columbia University Irving Medical Center)
- Ya Zhang
(Columbia University Irving Medical Center)
- Masashi Fujita
(Columbia University Irving Medical Center)
- Madeline B. Mariani
(New York State Psychiatric Institute
Columbia University Irving Medical Center)
- Mihran Bakalian
(New York State Psychiatric Institute
Columbia University Irving Medical Center)
- David Sulzer
(Columbia University Irving Medical Center
New York State Psychiatric Institute
Columbia University Irving Medical Center)
- Philip L. Jager
(Columbia University Irving Medical Center)
- Vilas Menon
(Columbia University Irving Medical Center)
- Orian S. Shirihai
(University of California Los Angeles)
- J. John Mann
(New York State Psychiatric Institute
Columbia University Irving Medical Center)
- Mark D. Underwood
(New York State Psychiatric Institute
Columbia University Irving Medical Center)
- Maura Boldrini
(New York State Psychiatric Institute
Columbia University Irving Medical Center)
- Michel Thiebaut de Schotten
(Brain Connectivity and Behaviour Laboratory
CEA University of Bordeaux)
- Martin Picard
(Columbia University Irving Medical Center
New York State Psychiatric Institute
Columbia University Irving Medical Center
Columbia University Mailman School of Public Health)
Abstract
Mitochondrial oxidative phosphorylation (OXPHOS) powers brain activity1,2, and mitochondrial defects are linked to neurodegenerative and neuropsychiatric disorders3,4. To understand the basis of brain activity and behaviour, there is a need to define the molecular energetic landscape of the brain5–10. Here, to bridge the scale gap between cognitive neuroscience and cell biology, we developed a physical voxelization approach to partition a frozen human coronal hemisphere section into 703 voxels comparable to neuroimaging resolution (3 × 3 × 3 mm). In each cortical and subcortical brain voxel, we profiled mitochondrial phenotypes, including OXPHOS enzyme activities, mitochondrial DNA and volume density, and mitochondria-specific respiratory capacity. We show that the human brain contains diverse mitochondrial phenotypes driven by both topology and cell types. Compared with white matter, grey matter contains >50% more mitochondria. Moreover, the mitochondria in grey matter are biochemically optimized for energy transformation, particularly among recently evolved cortical brain regions. Scaling these data to the whole brain, we created a backwards linear regression model that integrates several neuroimaging modalities11 to generate a brain-wide map of mitochondrial distribution and specialization. This model predicted mitochondrial characteristics in an independent brain region of the same donor brain. This approach and the resulting MitoBrainMap of mitochondrial phenotypes provide a foundation for exploring the molecular energetic landscape that enables normal brain function. This resource also relates to neuroimaging data and defines the subcellular basis for regionalized brain processes relevant to neuropsychiatric and neurodegenerative disorders. All data are available at http://humanmitobrainmap.bcblab.com .
Suggested Citation
Eugene V. Mosharov & Ayelet M. Rosenberg & Anna S. Monzel & Corey A. Osto & Linsey Stiles & Gorazd B. Rosoklija & Andrew J. Dwork & Snehal Bindra & Alex Junker & Ya Zhang & Masashi Fujita & Madeline B, 2025.
"A human brain map of mitochondrial respiratory capacity and diversity,"
Nature, Nature, vol. 641(8063), pages 749-758, May.
Handle:
RePEc:nat:nature:v:641:y:2025:i:8063:d:10.1038_s41586-025-08740-6
DOI: 10.1038/s41586-025-08740-6
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