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Mujica-Parodi, Lilianne R

0000-0002-3752-5519

Mayo Clinic

Department of Biomedical Engineering, State University of New York at Stony Brook, Stony Brook, NY.

Citations 2

Spatially convergent fMRI signatures of diabetes and male sex identify genetic vulnerabilities to accelerated brain aging
Chesebro, Anthony G. , Rohm, Luna R., Antal, Botond , Weistuch, Corey , Strey, Helmut H. , Ratai, Eva‐Maria , Mujica‐Parodi, Lilianne R. , Mujica-Parodi, Lilianne R , Jones, David T.

No container title available | April 23, 2025 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1101/2025.04.14.648801 Get It

Abstract Age-related cognitive decline results from complex interactions between neuroendocrine and neurometabolic processes that undergo lifelong degredation, yet the mechanisms underlying these interactions remain poorly understood. This study examined the effects of diabetes and sex on functional brain networks across aging through analysis of two large cohorts (N=1,621 total) using both 3T and 7T functional MRI, complemented by spatial transcriptomic data from over 14,000 genes from six post-mortem brains. Four networks— cingulo-opercular, default mode, salience, and lateral somatomotor—exhibited significant functional decline in both individuals with diabetes and independently in males. Gene expression analysis of vulnerable networks revealed significant overexpression of insulin-dependent glucose transporters, dopaminergic and GABAergic synaptic genes, and VEGFA-VEGFR2 pathway components. These findings suggest functionally-specific circuit vulnerability to metabolic and hormonal dysregulation, potentially offering targets for early intervention before irreversible neurodegeneration occurs.
Brain aging shows nonlinear transitions, suggesting a midlife “critical window” for metabolic intervention
Antal, Botond , Nieuwenhuizen, Helena van , Jones, David T. , Clarke, Kieran , Weistuch, Corey , Ratai, Eva‐Maria , Dill, Ken A. , Mujica‐Parodi, Lilianne R. , Jones, David T , Dill, Ken A , Mujica-Parodi, Lilianne R , Chesebro, Anthony G. , Strey, Helmut H.

Proceedings of the National Academy of Sciences | March 3, 2025 | Volume: 122 | Issue: 10 | Pages: No page available

10.1073/pnas.2416433122 Get It

Understanding the key drivers of brain aging is essential for effective prevention and treatment of neurodegenerative diseases. Here, we integrate human brain and physiological data to investigate underlying mechanisms. Functional MRI analyses across four large datasets (totaling 19,300 participants) show that brain networks not only destabilize throughout the lifetime but do so along a nonlinear trajectory, with consistent temporal “landmarks” of brain aging starting in midlife (40s). Comparison of metabolic, vascular, and inflammatory biomarkers implicate dysregulated glucose homeostasis as the driver mechanism for these transitions. Correlation between the brain’s regionally heterogeneous patterns of aging and gene expression further supports these findings, selectively implicating GLUT4 (insulin-dependent glucose transporter) and APOE (lipid transport protein). Notably, MCT2 (a neuronal, but not glial, ketone transporter) emerges as a potential counteracting factor by facilitating neurons’ energy uptake independently of insulin. Consistent with these results, an interventional study of 101 participants shows that ketones exhibit robust effects in restabilizing brain networks, maximized from ages 40 to 60, suggesting a midlife “critical window” for early metabolic intervention.