Integrated metabolomics and proteomics from voxelated cortical hemispheres of adult rhesus monkeys

Spatially registered, paired metabolomic and deep proteomic maps at millimeter resolution in adult Macaca mulatta reveal distance-dependent molecular similarity and conserved cross-omic cortical gradients.

• Why it matters: Many molecular datasets sample only a few regions, losing spatial organization that may underlie local circuit vulnerability in aging and Alzheimer’s disease.
• What they did: Two adult rhesus monkey hemispheres were voxelated at roughly 2.5 and 4 mm/side, split into matched aliquots for targeted metabolomics and deep untargeted proteomics, then clustered with PChclust and integrated using sr-sCCA with graph Laplacian smoothing.
• The result: Neighboring-voxel similarity decayed with distance in both modalities, while sr-sCCA found joint proteome–metabolome components with coherent cortical gradients conserved across animals, enabling pathway enrichment and metabolic circuit reconstruction from single voxels.

AI summary of the abstract · may contain errors · not medical advice · read the paper.