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Mendez, Mario

0000-0001-6441-7989

Mayo Clinic

Department of Psychiatry and Behavioral Sciences (Morrow, Onyike, Smith, Leoutsakos, Balaji, Kamath), Department of Neurology (Pantelyat, Tsapkini), and Russell Morgan Department of Radiology (Smith, Faria), Johns Hopkins University School of Medicine, Bal

Citations 3

Continuous At-Home Monitoring of Nighttime Bed Behavior in Frontotemporal Dementia

Neurology Open Access | February 18, 2026 | Volume: 2 | Issue: 1 | Pages: No page available

10.1212/wn9.0000000000000068 | PMID 41987885

Hyperorality in Frontotemporal Dementia: How Psychiatric and Neural Correlates Change During the Disease Course

The Journal of Neuropsychiatry and Clinical Neurosciences | March 26, 2025 | Volume: 38 | Issue: 1 | Pages: 31-37

10.1176/appi.neuropsych.20240134 | PMID 40134270

Large-scale network analysis of the cerebrospinal fluid proteome identifies molecular signatures of frontotemporal lobar degeneration

No container title available | March 28, 2024 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-4103685/v1 | PMID 38585969

Abstract The pathophysiological mechanisms driving disease progression of frontotemporal lobar degeneration (FTLD) and corresponding biomarkers are not fully understood. We leveraged aptamer-based proteomics (> 4,000 proteins) to identify dysregulated communities of co-expressed cerebrospinal fluid proteins in 116 adults carrying autosomal dominant FTLD mutations (C9orf72, GRN, MAPT) compared to 39 noncarrier controls. Network analysis identified 31 protein co-expression modules. Proteomic signatures of genetic FTLD clinical severity included increased abundance of RNA splicing (particularly in C9orf72 and GRN) and extracellular matrix (particularly in MAPT) modules, as well as decreased abundance of synaptic/neuronal and autophagy modules. The generalizability of genetic FTLD proteomic signatures was tested and confirmed in independent cohorts of 1) sporadic progressive supranuclear palsy-Richardson syndrome and 2) frontotemporal dementia spectrum syndromes. Network-based proteomics hold promise for identifying replicable molecular pathways in adults living with FTLD. ‘Hub’ proteins driving co-expression of affected modules warrant further attention as candidate biomarkers and therapeutic targets.