Plasma proteome-wide analysis of cerebral small vessel disease identifies novel biomarkers and disease pathways
Gomez, G. T.; Shi, L.; Fohner, A. E.; Chen, J.; Yang, Y.; Fornage, M.; Duggan, M. R.; Peng, Z.; Daya, G. N.; Tin, A.; Schlosser, P.; Longstreth, W. T.; Kalani, R.; Sharma, M.; Psaty, B. M.; Nevado-Holgado, A. J.; Buckley, N. J.; Gottesman, R. F.; Lutsey, P. L.; Jack, C. R.; Sullivan, K. J.; Mosley, T.; Hughes, T. M.; Coresh, J.; Walker, K. A.
Show abstract
Cerebral small vessel disease (SVD), as defined by neuroimaging characteristics such as white matter hyperintensities (WMHs), cerebral microhemorrhages (CMHs), and lacunar infarcts, is highly prevalent and has been associated with dementia risk and other clinical sequelae. Although conditions such as hypertension are known to contribute to SVD, little is known about the diverse set of subclinical biological processes and molecular mediators that may also influence the development and progression of SVD. To better understand the mechanisms underlying SVD and to identify novel SVD biomarkers, we used a large-scale proteomic platform to relate 4,877 plasma proteins to MRI-defined SVD characteristics within 1,508 participants of the Atherosclerosis Risk in Communities (ARIC) Study cohort. Our proteome-wide analysis of older adults (mean age: 76) identified 13 WMH-associated plasma proteins involved in synaptic function, endothelial integrity, and angiogenesis, two of which remained associated with late-life WMH volume when measured nearly 20 years earlier, during midlife. We replicated the relationship between 9 candidate proteins and WMH volume in one or more external cohorts; we found that 11 of the 13 proteins were associated with risk for future dementia; and we leveraged publicly available proteomic data from brain tissue to demonstrate that a subset of WMH-associated proteins was differentially expressed in the context of cerebral atherosclerosis, pathologically-defined Alzheimers disease, and cognitive decline. Bidirectional two-sample Mendelian randomization analyses examined the causal relationships between candidate proteins and WMH volume, while pathway and network analyses identified discrete biological processes (lipid/cholesterol metabolism, NF-kB signaling, hemostasis) associated with distinct forms of SVD. Finally, we synthesized these findings to identify two plasma proteins, oligodendrocyte myelin glycoprotein (OMG) and neuronal pentraxin receptor (NPTXR), as top candidate biomarkers for elevated WMH volume and its clinical manifestations.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Cell-type-specific Alzheimer’s disease polygenic risk scores are associated with distinct disease processes in Alzheimer’s disease 96%
- Individual bioenergetic capacity as a potential source of resilience to Alzheimer’s disease 95%
- Molecular estimation of neurodegeneration pseudotime in older brains 95%
Similar papers in this journal
- Molecular characterization of selectively vulnerable neurons in Alzheimer's Disease 95%
- Large-Scale Deep Multi-Layer Analysis of Alzheimer's Disease Brain Reveals Strong Proteomic Disease-Related Changes Not Observed at the RNA Level 95%
- Phenotypic and genetic associations of quantitative magnetic susceptibility in UK Biobank brain imaging 95%
Similar papers in this journal
- Synapse protein signatures in cerebrospinal fluid and plasma predict cognitive maintenance versus decline in Alzheimers disease 96%
- Amyloid and Tau PET positive cognitively unimpaired individuals: Destined to decline? 94%
- Clonal hematopoiesis is associated with protection from Alzheimer’s disease 94%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.