CRP and GDF15 DNA methylation signatures differentially predict brain volume loss

BACKGROUND: C‐reactive protein (CRP) and growth differentiation factor 15 (GDF15) are important markers of inflammation associated with several aging‐related morbidities. DNA methylation (DNAm) measures of CRP and GDF15 may provide stable epigenetic measures of chronic exposure to inflammation and could therefore be robustly predictive of inflammation‐related brain aging and neurodegeneration. METHODS: Data from a subsample of cognitively normal older adults (n = 431) from the Baltimore Longitudinal Study of Aging with DNA methylation (DNAm) data and longitudinal structural neuroimaging (up to 8 visits, 16.4 years) were used. We used latent growth curve models (Mplus 8.2) to explore the effect of two DNAm signatures (DNAm‐GDF15 and DNAm‐CRP) on longitudinal trajectories of 17 brain region volumes. These included total brain, total lobar, total lobar white matter, and other regions vulnerable to AD‐pathology. RESULTS: Our analyses revealed several brain regions in which level (at age 75) and change were significantly predicted by DNAm‐GDF15 and DNAm‐CRP (Table 1). Specifically, higher DNAm‐GDF15 predicted lower volumes and greater decline in the total brain (β(i) = ‐11.93; β(s) = ‐0.40), total grey matter (β(i) = ‐6.25; β(s) = ‐0.23), and total white matter regions (β(i) = ‐8.35; β(s) = ‐0.35), as well as greater ventricular volume and increases (β(i) = 4.62; β(s) = 0.35). Our analyses also revealed broad effects of GDF15 on total lobar, total lobar white matter, and AD‐specific regions. Our second set of conditional growth models revealed that higher DNAm‐CRP predicted lower volumes and greater decline in the total brain (β(i) = ‐4.30; β(s) = ‐0.23) and total white matter regions (β(i) = ‐4.58; β(s) = ‐0.19), as well as greater ventricular volume and increases (β(i) = 3.58; β(s) = 0.19). DNAm‐CRP also broadly predicted level and decline in volume for several total lobar and total lobar white matter regions, but these effects did not extend to AD‐specific regions. CONCLUSIONS: In a sample of cognitively normal older adults, epigenetic signatures representing longer‐term exposure to two inflammatory proteins differentially predicted brain volume trajectories. Notably, DNAm measures of GDF15 showed particularly strong associations with a broader breadth of brain regions as compared to DNAm‐CRP.

Institutions

Publication Details

Journal
PubMed Central
Published
2025-01-09
DOI
https://doi.org/10.1002/alz.095367
Primary Topic
Historical Studies on Reproduction, Gender, Health, and Societal Changes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

CRP and GDF15 DNA methylation signatures differentially predict brain volume loss

PubMed Central
Historical Studies on Reproduction, Gender, Health, and Societal Changes
article

CRP and GDF15 DNA methylation signatures differentially predict brain volume loss

article en

Abstract

BACKGROUND: C‐reactive protein (CRP) and growth differentiation factor 15 (GDF15) are important markers of inflammation associated with several aging‐related morbidities. DNA methylation (DNAm) measures of CRP and GDF15 may provide stable epigenetic measures of chronic exposure to inflammation and could therefore be robustly predictive of inflammation‐related brain aging and neurodegeneration. METHODS: Data from a subsample of cognitively normal older adults (n = 431) from the Baltimore Longitudinal Study of Aging with DNA methylation (DNAm) data and longitudinal structural neuroimaging (up to 8 visits, 16.4 years) were used. We used latent growth curve models (Mplus 8.2) to explore the effect of two DNAm signatures (DNAm‐GDF15 and DNAm‐CRP) on longitudinal trajectories of 17 brain region volumes. These included total brain, total lobar, total lobar white matter, and other regions vulnerable to AD‐pathology. RESULTS: Our analyses revealed several brain regions in which level (at age 75) and change were significantly predicted by DNAm‐GDF15 and DNAm‐CRP (Table 1). Specifically, higher DNAm‐GDF15 predicted lower volumes and greater decline in the total brain (β(i) = ‐11.93; β(s) = ‐0.40), total grey matter (β(i) = ‐6.25; β(s) = ‐0.23), and total white matter regions (β(i) = ‐8.35; β(s) = ‐0.35), as well as greater ventricular volume and increases (β(i) = 4.62; β(s) = 0.35). Our analyses also revealed broad effects of GDF15 on total lobar, total lobar white matter, and AD‐specific regions. Our second set of conditional growth models revealed that higher DNAm‐CRP predicted lower volumes and greater decline in the total brain (β(i) = ‐4.30; β(s) = ‐0.23) and total white matter regions (β(i) = ‐4.58; β(s) = ‐0.19), as well as greater ventricular volume and increases (β(i) = 3.58; β(s) = 0.19). DNAm‐CRP also broadly predicted level and decline in volume for several total lobar and total lobar white matter regions, but these effects did not extend to AD‐specific regions. CONCLUSIONS: In a sample of cognitively normal older adults, epigenetic signatures representing longer‐term exposure to two inflammatory proteins differentially predicted brain volume trajectories. Notably, DNAm measures of GDF15 showed particularly strong associations with a broader breadth of brain regions as compared to DNAm‐CRP.

PubMed Central
Intel (United States) (US), National Institute on Aging (US), University of Pennsylvania (US)
Openalex Percentile: Top 58%
Historical Studies on Reproduction, Gender, Health, and Societal Changes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.